,Unnamed: 0,year,country,word,frequency,count,freq_prop_headlines,word_len,freq_rank,hfreq_rank,theme
12,277,2010,India,cricketer,0,1584,0.0,9,20,20,empowerment
13,278,2011,India,cricketer,0,2438,0.0,9,20,20,empowerment
14,279,2012,India,cricketer,0,3634,0.0,9,20,20,empowerment
15,280,2013,India,cricketer,4,4910,0.000814664,9,20,20,empowerment
16,281,2014,India,cricketer,6,7502,0.0007997869999999999,9,20,20,empowerment
17,282,2015,India,cricketer,11,10532,0.001044436,9,20,20,empowerment
18,283,2016,India,cricketer,14,14012,0.000999144,9,20,20,empowerment
19,284,2017,India,cricketer,48,17097,0.00280751,9,20,20,empowerment
20,285,2018,India,cricketer,40,19170,0.002086594,9,20,20,empowerment
21,286,2019,India,cricketer,66,20849,0.003165619,9,20,20,empowerment
22,287,2020,India,cricketer,42,21942,0.001914137,9,20,20,empowerment
23,288,2021,India,cricketer,56,12622,0.004436698,9,20,20,empowerment
24,294,2010,India,dream,0,1584,0.0,5,21,21,empowerment
25,295,2011,India,dream,12,2438,0.0049220670000000005,5,21,21,empowerment
26,296,2012,India,dream,17,3634,0.004678041,5,21,21,empowerment
27,297,2013,India,dream,12,4910,0.0024439920000000003,5,21,21,empowerment
28,298,2014,India,dream,19,7502,0.002532658,5,21,21,empowerment
29,299,2015,India,dream,52,10532,0.004937334,5,21,21,empowerment
30,300,2016,India,dream,53,14012,0.003782472,5,21,21,empowerment
31,301,2017,India,dream,76,17097,0.004445224,5,21,21,empowerment
32,302,2018,India,dream,65,19170,0.003390715,5,21,21,empowerment
33,303,2019,India,dream,130,20849,0.006235311,5,21,21,empowerment
34,304,2020,India,dream,79,21942,0.003600401,5,21,21,empowerment
35,305,2021,India,dream,55,12622,0.004357471,5,21,21,empowerment
36,311,2010,India,ceo,0,1584,0.0,3,22,22,empowerment
37,312,2011,India,ceo,9,2438,0.00369155,3,22,22,empowerment
38,313,2012,India,ceo,15,3634,0.004127683,3,22,22,empowerment
39,314,2013,India,ceo,17,4910,0.0034623220000000003,3,22,22,empowerment
40,315,2014,India,ceo,37,7502,0.004932018,3,22,22,empowerment
41,316,2015,India,ceo,45,10532,0.004272693,3,22,22,empowerment
42,317,2016,India,ceo,48,14012,0.003425635,3,22,22,empowerment
43,318,2017,India,ceo,54,17097,0.003158449,3,22,22,empowerment
44,319,2018,India,ceo,58,19170,0.003025561,3,22,22,empowerment
45,320,2019,India,ceo,68,20849,0.003261547,3,22,22,empowerment
46,321,2020,India,ceo,100,21942,0.00455747,3,22,22,empowerment
47,322,2021,India,ceo,53,12622,0.004199018,3,22,22,empowerment
60,362,2010,India,girlfriend,0,1584,0.0,10,27,27,female stereotypes
61,363,2011,India,girlfriend,6,2438,0.002461034,10,27,27,female stereotypes
62,364,2012,India,girlfriend,6,3634,0.001651073,10,27,27,female stereotypes
63,365,2013,India,girlfriend,6,4910,0.001221996,10,27,27,female stereotypes
64,366,2014,India,girlfriend,14,7502,0.001866169,10,27,27,female stereotypes
65,367,2015,India,girlfriend,24,10532,0.002278769,10,27,27,female stereotypes
66,368,2016,India,girlfriend,40,14012,0.002854696,10,27,27,female stereotypes
67,369,2017,India,girlfriend,35,17097,0.002047143,10,27,27,female stereotypes
68,370,2018,India,girlfriend,35,19170,0.001825769,10,27,27,female stereotypes
69,371,2019,India,girlfriend,41,20849,0.001966521,10,27,27,female stereotypes
70,372,2020,India,girlfriend,49,21942,0.00223316,10,27,27,female stereotypes
71,373,2021,India,girlfriend,47,12622,0.003723657,10,27,27,female stereotypes
72,396,2010,India,founder,0,1584,0.0,7,30,30,empowerment
73,397,2011,India,founder,2,2438,0.000820345,7,30,30,empowerment
74,398,2012,India,founder,4,3634,0.001100715,7,30,30,empowerment
75,399,2013,India,founder,8,4910,0.001629328,7,30,30,empowerment
76,400,2014,India,founder,10,7502,0.001332978,7,30,30,empowerment
77,401,2015,India,founder,24,10532,0.002278769,7,30,30,empowerment
78,402,2016,India,founder,32,14012,0.002283757,7,30,30,empowerment
79,403,2017,India,founder,48,17097,0.00280751,7,30,30,empowerment
80,404,2018,India,founder,56,19170,0.002921231,7,30,30,empowerment
81,405,2019,India,founder,54,20849,0.002590052,7,30,30,empowerment
82,406,2020,India,founder,76,21942,0.003463677,7,30,30,empowerment
83,407,2021,India,founder,45,12622,0.003565204,7,30,30,empowerment
96,719,2010,India,strong,0,1584,0.0,6,59,59,empowerment
97,720,2011,India,strong,2,2438,0.000820345,6,59,59,empowerment
98,721,2012,India,strong,6,3634,0.001651073,6,59,59,empowerment
99,722,2013,India,strong,8,4910,0.001629328,6,59,59,empowerment
100,723,2014,India,strong,17,7502,0.002266062,6,59,59,empowerment
101,724,2015,India,strong,16,10532,0.00151918,6,59,59,empowerment
102,725,2016,India,strong,31,14012,0.002212389,6,59,59,empowerment
103,726,2017,India,strong,54,17097,0.003158449,6,59,59,empowerment
104,727,2018,India,strong,51,19170,0.002660407,6,59,59,empowerment
105,728,2019,India,strong,51,20849,0.00244616,6,59,59,empowerment
106,729,2020,India,strong,53,21942,0.002415459,6,59,59,empowerment
107,730,2021,India,strong,28,12622,0.002218349,6,59,59,empowerment
108,770,2010,India,abduct,0,1584,0.0,6,63,63,crime and violence
109,771,2011,India,abduct,4,2438,0.001640689,6,63,63,crime and violence
110,772,2012,India,abduct,4,3634,0.001100715,6,63,63,crime and violence
111,773,2013,India,abduct,5,4910,0.00101833,6,63,63,crime and violence
112,774,2014,India,abduct,8,7502,0.001066382,6,63,63,crime and violence
113,775,2015,India,abduct,6,10532,0.000569692,6,63,63,crime and violence
114,776,2016,India,abduct,34,14012,0.002426492,6,63,63,crime and violence
115,777,2017,India,abduct,24,17097,0.001403755,6,63,63,crime and violence
116,778,2018,India,abduct,28,19170,0.001460616,6,63,63,crime and violence
117,779,2019,India,abduct,43,20849,0.002062449,6,63,63,crime and violence
118,780,2020,India,abduct,39,21942,0.0017774129999999996,6,63,63,crime and violence
119,781,2021,India,abduct,26,12622,0.002059895,6,63,63,crime and violence
132,923,2010,India,equality,0,1584,0.0,8,76,76,empowerment
133,924,2011,India,equality,5,2438,0.002050861,8,76,76,empowerment
134,925,2012,India,equality,4,3634,0.001100715,8,76,76,empowerment
135,926,2013,India,equality,9,4910,0.001832994,8,76,76,empowerment
136,927,2014,India,equality,18,7502,0.00239936,8,76,76,empowerment
137,928,2015,India,equality,27,10532,0.002563616,8,76,76,empowerment
138,929,2016,India,equality,29,14012,0.002069655,8,76,76,empowerment
139,930,2017,India,equality,36,17097,0.002105633,8,76,76,empowerment
140,931,2018,India,equality,44,19170,0.002295253,8,76,76,empowerment
141,932,2019,India,equality,59,20849,0.002829872,8,76,76,empowerment
142,933,2020,India,equality,45,21942,0.002050861,8,76,76,empowerment
143,934,2021,India,equality,22,12622,0.0017429879999999998,8,76,76,empowerment
156,1127,2010,India,elect,0,1584,0.0,5,89,89,empowerment
157,1128,2011,India,elect,1,2438,0.000410172,5,89,89,empowerment
158,1129,2012,India,elect,4,3634,0.001100715,5,89,89,empowerment
159,1130,2013,India,elect,2,4910,0.000407332,5,89,89,empowerment
160,1131,2014,India,elect,8,7502,0.001066382,5,89,89,empowerment
161,1132,2015,India,elect,17,10532,0.0016141279999999998,5,89,89,empowerment
162,1133,2016,India,elect,27,14012,0.00192692,5,89,89,empowerment
163,1134,2017,India,elect,20,17097,0.001169796,5,89,89,empowerment
164,1135,2018,India,elect,33,19170,0.00172144,5,89,89,empowerment
165,1136,2019,India,elect,26,20849,0.001247062,5,89,89,empowerment
166,1137,2020,India,elect,71,21942,0.003235803,5,89,89,empowerment
167,1138,2021,India,elect,18,12622,0.001426081,5,89,89,empowerment
168,1144,2010,India,fighter,0,1584,0.0,7,90,90,empowerment
169,1145,2011,India,fighter,5,2438,0.002050861,7,90,90,empowerment
170,1146,2012,India,fighter,3,3634,0.000825537,7,90,90,empowerment
171,1147,2013,India,fighter,3,4910,0.0006109980000000001,7,90,90,empowerment
172,1148,2014,India,fighter,15,7502,0.001999467,7,90,90,empowerment
173,1149,2015,India,fighter,39,10532,0.003703,7,90,90,empowerment
174,1150,2016,India,fighter,55,14012,0.003925207,7,90,90,empowerment
175,1151,2017,India,fighter,32,17097,0.001871673,7,90,90,empowerment
176,1152,2018,India,fighter,56,19170,0.002921231,7,90,90,empowerment
177,1153,2019,India,fighter,42,20849,0.002014485,7,90,90,empowerment
178,1154,2020,India,fighter,32,21942,0.00145839,7,90,90,empowerment
179,1155,2021,India,fighter,18,12622,0.001426081,7,90,90,empowerment
180,1195,2010,India,metoo,0,1584,0.0,5,97,97,empowerment
181,1196,2011,India,metoo,0,2438,0.0,5,97,97,empowerment
182,1197,2012,India,metoo,0,3634,0.0,5,97,97,empowerment
183,1198,2013,India,metoo,0,4910,0.0,5,97,97,empowerment
184,1199,2014,India,metoo,0,7502,0.0,5,97,97,empowerment
185,1200,2015,India,metoo,0,10532,0.0,5,97,97,empowerment
186,1201,2016,India,metoo,0,14012,0.0,5,97,97,empowerment
187,1202,2017,India,metoo,31,17097,0.001813184,5,97,97,empowerment
188,1203,2018,India,metoo,281,19170,0.01465832,5,97,97,empowerment
189,1204,2019,India,metoo,53,20849,0.002542088,5,97,97,empowerment
190,1205,2020,India,metoo,24,21942,0.001093793,5,97,97,empowerment
191,1206,2021,India,metoo,16,12622,0.001267628,5,97,97,empowerment
192,1212,2010,India,temple,0,1584,0.0,6,99,99,"race, ethnicity and identity"
193,1213,2011,India,temple,3,2438,0.001230517,6,99,99,"race, ethnicity and identity"
194,1214,2012,India,temple,2,3634,0.000550358,6,99,99,"race, ethnicity and identity"
195,1215,2013,India,temple,8,4910,0.001629328,6,99,99,"race, ethnicity and identity"
196,1216,2014,India,temple,9,7502,0.00119968,6,99,99,"race, ethnicity and identity"
197,1217,2015,India,temple,24,10532,0.002278769,6,99,99,"race, ethnicity and identity"
198,1218,2016,India,temple,95,14012,0.006779903,6,99,99,"race, ethnicity and identity"
199,1219,2017,India,temple,32,17097,0.001871673,6,99,99,"race, ethnicity and identity"
200,1220,2018,India,temple,113,19170,0.005894627,6,99,99,"race, ethnicity and identity"
201,1221,2019,India,temple,88,20849,0.004220826,6,99,99,"race, ethnicity and identity"
202,1222,2020,India,temple,30,21942,0.0013672410000000002,6,99,99,"race, ethnicity and identity"
203,1223,2021,India,temple,16,12622,0.001267628,6,99,99,"race, ethnicity and identity"
204,1314,2010,India,racist,0,1584,0.0,6,105,105,crime and violence
205,1315,2011,India,racist,0,2438,0.0,6,105,105,crime and violence
206,1316,2012,India,racist,4,3634,0.001100715,6,105,105,crime and violence
207,1317,2013,India,racist,9,4910,0.001832994,6,105,105,crime and violence
208,1318,2014,India,racist,3,7502,0.000399893,6,105,105,crime and violence
209,1319,2015,India,racist,11,10532,0.001044436,6,105,105,crime and violence
210,1320,2016,India,racist,5,14012,0.000356837,6,105,105,crime and violence
211,1321,2017,India,racist,21,17097,0.001228286,6,105,105,crime and violence
212,1322,2018,India,racist,26,19170,0.001356286,6,105,105,crime and violence
213,1323,2019,India,racist,26,20849,0.001247062,6,105,105,crime and violence
214,1324,2020,India,racist,51,21942,0.00232431,6,105,105,crime and violence
215,1325,2021,India,racist,15,12622,0.001188401,6,105,105,crime and violence
228,1382,2010,India,writer,0,1584,0.0,6,109,109,empowerment
229,1383,2011,India,writer,5,2438,0.002050861,6,109,109,empowerment
230,1384,2012,India,writer,4,3634,0.001100715,6,109,109,empowerment
231,1385,2013,India,writer,10,4910,0.00203666,6,109,109,empowerment
232,1386,2014,India,writer,12,7502,0.001599573,6,109,109,empowerment
233,1387,2015,India,writer,25,10532,0.002373718,6,109,109,empowerment
234,1388,2016,India,writer,31,14012,0.002212389,6,109,109,empowerment
235,1389,2017,India,writer,26,17097,0.001520735,6,109,109,empowerment
236,1390,2018,India,writer,42,19170,0.002190923,6,109,109,empowerment
237,1391,2019,India,writer,46,20849,0.002206341,6,109,109,empowerment
238,1392,2020,India,writer,42,21942,0.001914137,6,109,109,empowerment
239,1393,2021,India,writer,14,12622,0.001109174,6,109,109,empowerment
264,1569,2010,India,makeup,0,1584,0.0,6,124,124,female stereotypes
265,1570,2011,India,makeup,3,2438,0.001230517,6,124,124,female stereotypes
266,1571,2012,India,makeup,1,3634,0.000275179,6,124,124,female stereotypes
267,1572,2013,India,makeup,1,4910,0.000203666,6,124,124,female stereotypes
268,1573,2014,India,makeup,12,7502,0.001599573,6,124,124,female stereotypes
269,1574,2015,India,makeup,22,10532,0.0020888720000000003,6,124,124,female stereotypes
270,1575,2016,India,makeup,42,14012,0.002997431,6,124,124,female stereotypes
271,1576,2017,India,makeup,20,17097,0.001169796,6,124,124,female stereotypes
272,1577,2018,India,makeup,32,19170,0.001669275,6,124,124,female stereotypes
273,1578,2019,India,makeup,31,20849,0.001486882,6,124,124,female stereotypes
274,1579,2020,India,makeup,26,21942,0.001184942,6,124,124,female stereotypes
275,1580,2021,India,makeup,10,12622,0.0007922669999999999,6,124,124,female stereotypes
276,2130,2010,India,nigerian,0,1584,0.0,8,169,169,"race, ethnicity and identity"
277,2131,2011,India,nigerian,3,2438,0.001230517,8,169,169,"race, ethnicity and identity"
278,2132,2012,India,nigerian,4,3634,0.001100715,8,169,169,"race, ethnicity and identity"
279,2133,2013,India,nigerian,1,4910,0.000203666,8,169,169,"race, ethnicity and identity"
280,2134,2014,India,nigerian,9,7502,0.00119968,8,169,169,"race, ethnicity and identity"
281,2135,2015,India,nigerian,8,10532,0.00075959,8,169,169,"race, ethnicity and identity"
282,2136,2016,India,nigerian,9,14012,0.000642307,8,169,169,"race, ethnicity and identity"
283,2137,2017,India,nigerian,11,17097,0.0006433880000000001,8,169,169,"race, ethnicity and identity"
284,2138,2018,India,nigerian,12,19170,0.000625978,8,169,169,"race, ethnicity and identity"
285,2139,2019,India,nigerian,8,20849,0.000383711,8,169,169,"race, ethnicity and identity"
286,2140,2020,India,nigerian,4,21942,0.000182299,8,169,169,"race, ethnicity and identity"
287,2141,2021,India,nigerian,4,12622,0.000316907,8,169,169,"race, ethnicity and identity"
300,2198,2010,India,witchcraft,0,1584,0.0,10,174,174,female stereotypes
301,2199,2011,India,witchcraft,0,2438,0.0,10,174,174,female stereotypes
302,2200,2012,India,witchcraft,1,3634,0.000275179,10,174,174,female stereotypes
303,2201,2013,India,witchcraft,0,4910,0.0,10,174,174,female stereotypes
304,2202,2014,India,witchcraft,4,7502,0.000533191,10,174,174,female stereotypes
305,2203,2015,India,witchcraft,4,10532,0.000379795,10,174,174,female stereotypes
306,2204,2016,India,witchcraft,4,14012,0.00028547,10,174,174,female stereotypes
307,2205,2017,India,witchcraft,3,17097,0.000175469,10,174,174,female stereotypes
308,2206,2018,India,witchcraft,5,19170,0.000260824,10,174,174,female stereotypes
309,2207,2019,India,witchcraft,4,20849,0.000191856,10,174,174,female stereotypes
310,2208,2020,India,witchcraft,6,21942,0.000273448,10,174,174,female stereotypes
311,2209,2021,India,witchcraft,4,12622,0.000316907,10,174,174,female stereotypes
312,2232,2010,India,housewife,0,1584,0.0,9,176,176,female stereotypes
313,2233,2011,India,housewife,2,2438,0.000820345,9,176,176,female stereotypes
314,2234,2012,India,housewife,2,3634,0.000550358,9,176,176,female stereotypes
315,2235,2013,India,housewife,4,4910,0.000814664,9,176,176,female stereotypes
316,2236,2014,India,housewife,5,7502,0.0006664889999999999,9,176,176,female stereotypes
317,2237,2015,India,housewife,5,10532,0.000474744,9,176,176,female stereotypes
318,2238,2016,India,housewife,9,14012,0.000642307,9,176,176,female stereotypes
319,2239,2017,India,housewife,8,17097,0.0004679180000000001,9,176,176,female stereotypes
320,2240,2018,India,housewife,4,19170,0.000208659,9,176,176,female stereotypes
321,2241,2019,India,housewife,2,20849,9.59e-05,9,176,176,female stereotypes
322,2242,2020,India,housewife,6,21942,0.000273448,9,176,176,female stereotypes
323,2243,2021,India,housewife,3,12622,0.00023768,9,176,176,female stereotypes
324,2504,2010,India,testify,0,1584,0.0,7,195,196,crime and violence
325,2505,2011,India,testify,0,2438,0.0,7,195,196,crime and violence
326,2506,2012,India,testify,2,3634,0.000550358,7,195,196,crime and violence
327,2507,2013,India,testify,4,4910,0.000814664,7,195,196,crime and violence
328,2508,2014,India,testify,2,7502,0.000266596,7,195,196,crime and violence
329,2509,2015,India,testify,3,10532,0.000284846,7,195,196,crime and violence
330,2510,2016,India,testify,4,14012,0.00028547,7,195,196,crime and violence
331,2511,2017,India,testify,6,17097,0.00035093900000000004,7,195,196,crime and violence
332,2512,2018,India,testify,6,19170,0.000312989,7,195,196,crime and violence
333,2513,2019,India,testify,4,20849,0.000191856,7,195,196,crime and violence
334,2514,2020,India,testify,5,21942,0.000227873,7,195,196,crime and violence
335,2515,2021,India,testify,2,12622,0.000158453,7,195,196,crime and violence
336,2521,2010,India,vagina,0,1584,0.0,6,196,197,female stereotypes
337,2522,2011,India,vagina,0,2438,0.0,6,196,197,female stereotypes
338,2523,2012,India,vagina,2,3634,0.000550358,6,196,197,female stereotypes
339,2524,2013,India,vagina,2,4910,0.000407332,6,196,197,female stereotypes
340,2525,2014,India,vagina,4,7502,0.000533191,6,196,197,female stereotypes
341,2526,2015,India,vagina,5,10532,0.000474744,6,196,197,female stereotypes
342,2527,2016,India,vagina,10,14012,0.000713674,6,196,197,female stereotypes
343,2528,2017,India,vagina,6,17097,0.00035093900000000004,6,196,197,female stereotypes
344,2529,2018,India,vagina,15,19170,0.000782473,6,196,197,female stereotypes
345,2530,2019,India,vagina,6,20849,0.000287784,6,196,197,female stereotypes
346,2531,2020,India,vagina,8,21942,0.0003645980000000001,6,196,197,female stereotypes
347,2532,2021,India,vagina,2,12622,0.000158453,6,196,197,female stereotypes
372,2793,2010,India,activist,1,1584,0.000631313,8,215,208,empowerment
373,2794,2011,India,activist,1,2438,0.000410172,8,215,208,empowerment
374,2795,2012,India,activist,2,3634,0.000550358,8,215,208,empowerment
375,2796,2013,India,activist,16,4910,0.003258656,8,215,208,empowerment
376,2797,2014,India,activist,17,7502,0.002266062,8,215,208,empowerment
377,2798,2015,India,activist,31,10532,0.002943411,8,215,208,empowerment
378,2799,2016,India,activist,61,14012,0.004353411,8,215,208,empowerment
379,2800,2017,India,activist,43,17097,0.002515061,8,215,208,empowerment
380,2801,2018,India,activist,77,19170,0.004016693,8,215,208,empowerment
381,2802,2019,India,activist,69,20849,0.003309511,8,215,208,empowerment
382,2803,2020,India,activist,73,21942,0.003326953,8,215,208,empowerment
383,2804,2021,India,activist,73,12622,0.005783553,8,215,208,empowerment
384,2810,2010,India,empower,1,1584,0.000631313,7,216,209,empowerment
385,2811,2011,India,empower,4,2438,0.001640689,7,216,209,empowerment
386,2812,2012,India,empower,6,3634,0.001651073,7,216,209,empowerment
387,2813,2013,India,empower,8,4910,0.001629328,7,216,209,empowerment
388,2814,2014,India,empower,15,7502,0.001999467,7,216,209,empowerment
389,2815,2015,India,empower,29,10532,0.002753513,7,216,209,empowerment
390,2816,2016,India,empower,38,14012,0.002711961,7,216,209,empowerment
391,2817,2017,India,empower,77,17097,0.004503714,7,216,209,empowerment
392,2818,2018,India,empower,72,19170,0.003755869,7,216,209,empowerment
393,2819,2019,India,empower,67,20849,0.003213583,7,216,209,empowerment
394,2820,2020,India,empower,69,21942,0.003144654,7,216,209,empowerment
395,2821,2021,India,empower,72,12622,0.005704326,7,216,209,empowerment
396,2861,2010,India,support,2,1584,0.001262626,7,220,213,female stereotypes
397,2862,2011,India,support,2,2438,0.000820345,7,220,213,female stereotypes
398,2863,2012,India,support,9,3634,0.00247661,7,220,213,female stereotypes
399,2864,2013,India,support,9,4910,0.001832994,7,220,213,female stereotypes
400,2865,2014,India,support,24,7502,0.0031991470000000003,7,220,213,female stereotypes
401,2866,2015,India,support,42,10532,0.003987847,7,220,213,female stereotypes
402,2867,2016,India,support,54,14012,0.00385384,7,220,213,female stereotypes
403,2868,2017,India,support,59,17097,0.003450898,7,220,213,female stereotypes
404,2869,2018,India,support,83,19170,0.0043296820000000005,7,220,213,female stereotypes
405,2870,2019,India,support,115,20849,0.005515852,7,220,213,female stereotypes
406,2871,2020,India,support,120,21942,0.005468964000000001,7,220,213,female stereotypes
407,2872,2021,India,support,128,12622,0.010141024,7,220,213,female stereotypes
408,2929,2010,India,threaten,1,1584,0.000631313,8,225,225,crime and violence
409,2930,2011,India,threaten,4,2438,0.001640689,8,225,225,crime and violence
410,2931,2012,India,threaten,8,3634,0.002201431,8,225,225,crime and violence
411,2932,2013,India,threaten,9,4910,0.001832994,8,225,225,crime and violence
412,2933,2014,India,threaten,12,7502,0.001599573,8,225,225,crime and violence
413,2934,2015,India,threaten,17,10532,0.0016141279999999998,8,225,225,crime and violence
414,2935,2016,India,threaten,31,14012,0.002212389,8,225,225,crime and violence
415,2936,2017,India,threaten,49,17097,0.002866,8,225,225,crime and violence
416,2937,2018,India,threaten,63,19170,0.003286385,8,225,225,crime and violence
417,2938,2019,India,threaten,72,20849,0.003453403,8,225,225,crime and violence
418,2939,2020,India,threaten,66,21942,0.00300793,8,225,225,crime and violence
419,2940,2021,India,threaten,61,12622,0.004832832,8,225,225,crime and violence
420,2963,2010,India,hindu,1,1584,0.000631313,5,227,227,"race, ethnicity and identity"
421,2964,2011,India,hindu,4,2438,0.001640689,5,227,227,"race, ethnicity and identity"
422,2965,2012,India,hindu,5,3634,0.001375894,5,227,227,"race, ethnicity and identity"
423,2966,2013,India,hindu,4,4910,0.000814664,5,227,227,"race, ethnicity and identity"
424,2967,2014,India,hindu,9,7502,0.00119968,5,227,227,"race, ethnicity and identity"
425,2968,2015,India,hindu,26,10532,0.002468667,5,227,227,"race, ethnicity and identity"
426,2969,2016,India,hindu,41,14012,0.002926063,5,227,227,"race, ethnicity and identity"
427,2970,2017,India,hindu,64,17097,0.003743347,5,227,227,"race, ethnicity and identity"
428,2971,2018,India,hindu,84,19170,0.004381847,5,227,227,"race, ethnicity and identity"
429,2972,2019,India,hindu,118,20849,0.005659744,5,227,227,"race, ethnicity and identity"
430,2973,2020,India,hindu,136,21942,0.006198159,5,227,227,"race, ethnicity and identity"
431,2974,2021,India,hindu,60,12622,0.004753605,5,227,227,"race, ethnicity and identity"
432,2980,2010,India,gender,2,1584,0.001262626,6,228,228,"race, ethnicity and identity"
433,2981,2011,India,gender,8,2438,0.003281378,6,228,228,"race, ethnicity and identity"
434,2982,2012,India,gender,14,3634,0.003852504,6,228,228,"race, ethnicity and identity"
435,2983,2013,India,gender,20,4910,0.00407332,6,228,228,"race, ethnicity and identity"
436,2984,2014,India,gender,64,7502,0.008531058000000001,6,228,228,"race, ethnicity and identity"
437,2985,2015,India,gender,66,10532,0.006266616,6,228,228,"race, ethnicity and identity"
438,2986,2016,India,gender,118,14012,0.008421353000000001,6,228,228,"race, ethnicity and identity"
439,2987,2017,India,gender,119,17097,0.006960285,6,228,228,"race, ethnicity and identity"
440,2988,2018,India,gender,153,19170,0.007981221,6,228,228,"race, ethnicity and identity"
441,2989,2019,India,gender,192,20849,0.009209075,6,228,228,"race, ethnicity and identity"
442,2990,2020,India,gender,182,21942,0.008294595,6,228,228,"race, ethnicity and identity"
443,2991,2021,India,gender,112,12622,0.008873396,6,228,228,"race, ethnicity and identity"
444,2997,2010,India,pilot,1,1584,0.000631313,5,230,230,empowerment
445,2998,2011,India,pilot,6,2438,0.002461034,5,230,230,empowerment
446,2999,2012,India,pilot,7,3634,0.001926252,5,230,230,empowerment
447,3000,2013,India,pilot,13,4910,0.002647658,5,230,230,empowerment
448,3001,2014,India,pilot,16,7502,0.002132765,5,230,230,empowerment
449,3002,2015,India,pilot,33,10532,0.003133308,5,230,230,empowerment
450,3003,2016,India,pilot,72,14012,0.005138453,5,230,230,empowerment
451,3004,2017,India,pilot,63,17097,0.003684857,5,230,230,empowerment
452,3005,2018,India,pilot,82,19170,0.004277517,5,230,230,empowerment
453,3006,2019,India,pilot,99,20849,0.004748429,5,230,230,empowerment
454,3007,2020,India,pilot,81,21942,0.00369155,5,230,230,empowerment
455,3008,2021,India,pilot,54,12622,0.0042782440000000005,5,230,230,empowerment
456,3116,2010,India,transgender,1,1584,0.000631313,11,239,240,"race, ethnicity and identity"
457,3117,2011,India,transgender,5,2438,0.002050861,11,239,240,"race, ethnicity and identity"
458,3118,2012,India,transgender,4,3634,0.001100715,11,239,240,"race, ethnicity and identity"
459,3119,2013,India,transgender,13,4910,0.002647658,11,239,240,"race, ethnicity and identity"
460,3120,2014,India,transgender,14,7502,0.001866169,11,239,240,"race, ethnicity and identity"
461,3121,2015,India,transgender,56,10532,0.005317129,11,239,240,"race, ethnicity and identity"
462,3122,2016,India,transgender,65,14012,0.004638881,11,239,240,"race, ethnicity and identity"
463,3123,2017,India,transgender,76,17097,0.004445224,11,239,240,"race, ethnicity and identity"
464,3124,2018,India,transgender,74,19170,0.003860198,11,239,240,"race, ethnicity and identity"
465,3125,2019,India,transgender,97,20849,0.004652501,11,239,240,"race, ethnicity and identity"
466,3126,2020,India,transgender,50,21942,0.002278735,11,239,240,"race, ethnicity and identity"
467,3127,2021,India,transgender,45,12622,0.003565204,11,239,240,"race, ethnicity and identity"
480,3201,2010,India,oscar,1,1584,0.000631313,5,246,246,empowerment
481,3202,2011,India,oscar,2,2438,0.000820345,5,246,246,empowerment
482,3203,2012,India,oscar,3,3634,0.000825537,5,246,246,empowerment
483,3204,2013,India,oscar,4,4910,0.000814664,5,246,246,empowerment
484,3205,2014,India,oscar,9,7502,0.00119968,5,246,246,empowerment
485,3206,2015,India,oscar,25,10532,0.002373718,5,246,246,empowerment
486,3207,2016,India,oscar,27,14012,0.00192692,5,246,246,empowerment
487,3208,2017,India,oscar,30,17097,0.001754694,5,246,246,empowerment
488,3209,2018,India,oscar,26,19170,0.001356286,5,246,246,empowerment
489,3210,2019,India,oscar,44,20849,0.002110413,5,246,246,empowerment
490,3211,2020,India,oscar,34,21942,0.00154954,5,246,246,empowerment
491,3212,2021,India,oscar,42,12622,0.003327523,5,246,246,empowerment
492,3320,2010,India,worth,1,1584,0.000631313,5,258,258,empowerment
493,3321,2011,India,worth,6,2438,0.002461034,5,258,258,empowerment
494,3322,2012,India,worth,6,3634,0.001651073,5,258,258,empowerment
495,3323,2013,India,worth,6,4910,0.001221996,5,258,258,empowerment
496,3324,2014,India,worth,6,7502,0.0007997869999999999,5,258,258,empowerment
497,3325,2015,India,worth,14,10532,0.0013292820000000002,5,258,258,empowerment
498,3326,2016,India,worth,24,14012,0.0017128179999999998,5,258,258,empowerment
499,3327,2017,India,worth,25,17097,0.001462245,5,258,258,empowerment
500,3328,2018,India,worth,36,19170,0.001877934,5,258,258,empowerment
501,3329,2019,India,worth,44,20849,0.002110413,5,258,258,empowerment
502,3330,2020,India,worth,50,21942,0.002278735,5,258,258,empowerment
503,3331,2021,India,worth,38,12622,0.003010616,5,258,258,empowerment
504,3371,2010,India,violence,3,1584,0.001893939,8,261,261,crime and violence
505,3372,2011,India,violence,3,2438,0.001230517,8,261,261,crime and violence
506,3373,2012,India,violence,13,3634,0.003577325,8,261,261,crime and violence
507,3374,2013,India,violence,38,4910,0.007739308,8,261,261,crime and violence
508,3375,2014,India,violence,50,7502,0.006664889,8,261,261,crime and violence
509,3376,2015,India,violence,50,10532,0.004747436,8,261,261,crime and violence
510,3377,2016,India,violence,59,14012,0.004210677,8,261,261,crime and violence
511,3378,2017,India,violence,68,17097,0.003977306,8,261,261,crime and violence
512,3379,2018,India,violence,82,19170,0.004277517,8,261,261,crime and violence
513,3380,2019,India,violence,97,20849,0.004652501,8,261,261,crime and violence
514,3381,2020,India,violence,155,21942,0.007064078000000001,8,261,261,crime and violence
515,3382,2021,India,violence,108,12622,0.008556489,8,261,261,crime and violence
516,3388,2010,India,director,2,1584,0.001262626,8,262,262,empowerment
517,3389,2011,India,director,5,2438,0.002050861,8,262,262,empowerment
518,3390,2012,India,director,7,3634,0.001926252,8,262,262,empowerment
519,3391,2013,India,director,13,4910,0.002647658,8,262,262,empowerment
520,3392,2014,India,director,30,7502,0.003998934,8,262,262,empowerment
521,3393,2015,India,director,49,10532,0.004652488,8,262,262,empowerment
522,3394,2016,India,director,58,14012,0.004139309,8,262,262,empowerment
523,3395,2017,India,director,74,17097,0.004328245,8,262,262,empowerment
524,3396,2018,India,director,105,19170,0.005477308,8,262,262,empowerment
525,3397,2019,India,director,93,20849,0.004460646,8,262,262,empowerment
526,3398,2020,India,director,89,21942,0.004056148,8,262,262,empowerment
527,3399,2021,India,director,71,12622,0.005625099000000001,8,262,262,empowerment
528,3439,2010,India,leader,4,1584,0.002525253,6,268,268,empowerment
529,3440,2011,India,leader,6,2438,0.002461034,6,268,268,empowerment
530,3441,2012,India,leader,14,3634,0.003852504,6,268,268,empowerment
531,3442,2013,India,leader,29,4910,0.005906314,6,268,268,empowerment
532,3443,2014,India,leader,44,7502,0.005865103000000001,6,268,268,empowerment
533,3444,2015,India,leader,63,10532,0.00598177,6,268,268,empowerment
534,3445,2016,India,leader,83,14012,0.0059234940000000005,6,268,268,empowerment
535,3446,2017,India,leader,99,17097,0.00579049,6,268,268,empowerment
536,3447,2018,India,leader,149,19170,0.007772561,6,268,268,empowerment
537,3448,2019,India,leader,175,20849,0.008393688,6,268,268,empowerment
538,3449,2020,India,leader,228,21942,0.010391031,6,268,268,empowerment
539,3450,2021,India,leader,132,12622,0.010457931,6,268,268,empowerment
552,3507,2010,India,black,6,1584,0.003787879,5,274,274,"race, ethnicity and identity"
553,3508,2011,India,black,16,2438,0.006562756,5,274,274,"race, ethnicity and identity"
554,3509,2012,India,black,21,3634,0.005778756,5,274,274,"race, ethnicity and identity"
555,3510,2013,India,black,27,4910,0.005498982,5,274,274,"race, ethnicity and identity"
556,3511,2014,India,black,38,7502,0.005065315999999999,5,274,274,"race, ethnicity and identity"
557,3512,2015,India,black,67,10532,0.006361565,5,274,274,"race, ethnicity and identity"
558,3513,2016,India,black,85,14012,0.006066229,5,274,274,"race, ethnicity and identity"
559,3514,2017,India,black,94,17097,0.005498041,5,274,274,"race, ethnicity and identity"
560,3515,2018,India,black,191,19170,0.009963485,5,274,274,"race, ethnicity and identity"
561,3516,2019,India,black,177,20849,0.008489616,5,274,274,"race, ethnicity and identity"
562,3517,2020,India,black,391,21942,0.017819706,5,274,274,"race, ethnicity and identity"
563,3518,2021,India,black,194,12622,0.015369989,5,274,274,"race, ethnicity and identity"
576,3626,2010,India,gangrape,1,1584,0.000631313,8,283,283,crime and violence
577,3627,2011,India,gangrape,0,2438,0.0,8,283,283,crime and violence
578,3628,2012,India,gangrape,4,3634,0.001100715,8,283,283,crime and violence
579,3629,2013,India,gangrape,9,4910,0.001832994,8,283,283,crime and violence
580,3630,2014,India,gangrape,9,7502,0.00119968,8,283,283,crime and violence
581,3631,2015,India,gangrape,13,10532,0.001234333,8,283,283,crime and violence
582,3632,2016,India,gangrape,27,14012,0.00192692,8,283,283,crime and violence
583,3633,2017,India,gangrape,49,17097,0.002866,8,283,283,crime and violence
584,3634,2018,India,gangrape,51,19170,0.002660407,8,283,283,crime and violence
585,3635,2019,India,gangrape,42,20849,0.002014485,8,283,283,crime and violence
586,3636,2020,India,gangrape,62,21942,0.002825631,8,283,283,crime and violence
587,3637,2021,India,gangrape,29,12622,0.002297576,8,283,283,crime and violence
588,3643,2010,India,protest,3,1584,0.001893939,7,284,284,empowerment
589,3644,2011,India,protest,4,2438,0.001640689,7,284,284,empowerment
590,3645,2012,India,protest,7,3634,0.001926252,7,284,284,empowerment
591,3646,2013,India,protest,17,4910,0.0034623220000000003,7,284,284,empowerment
592,3647,2014,India,protest,24,7502,0.0031991470000000003,7,284,284,empowerment
593,3648,2015,India,protest,31,10532,0.002943411,7,284,284,empowerment
594,3649,2016,India,protest,57,14012,0.004067942,7,284,284,empowerment
595,3650,2017,India,protest,72,17097,0.004211265,7,284,284,empowerment
596,3651,2018,India,protest,122,19170,0.006364111,7,284,284,empowerment
597,3652,2019,India,protest,127,20849,0.006091419,7,284,284,empowerment
598,3653,2020,India,protest,227,21942,0.010345456,7,284,284,empowerment
599,3654,2021,India,protest,84,12622,0.006655047,7,284,284,empowerment
600,3677,2010,India,emotional,1,1584,0.000631313,9,291,291,female stereotypes
601,3678,2011,India,emotional,1,2438,0.000410172,9,291,291,female stereotypes
602,3679,2012,India,emotional,6,3634,0.001651073,9,291,291,female stereotypes
603,3680,2013,India,emotional,3,4910,0.0006109980000000001,9,291,291,female stereotypes
604,3681,2014,India,emotional,7,7502,0.000933085,9,291,291,female stereotypes
605,3682,2015,India,emotional,18,10532,0.001709077,9,291,291,female stereotypes
606,3683,2016,India,emotional,21,14012,0.001498715,9,291,291,female stereotypes
607,3684,2017,India,emotional,23,17097,0.001345265,9,291,291,female stereotypes
608,3685,2018,India,emotional,40,19170,0.002086594,9,291,291,female stereotypes
609,3686,2019,India,emotional,46,20849,0.002206341,9,291,291,female stereotypes
610,3687,2020,India,emotional,90,21942,0.004101723,9,291,291,female stereotypes
611,3688,2021,India,emotional,27,12622,0.002139122,9,291,291,female stereotypes
612,3711,2010,India,appoint,1,1584,0.000631313,7,295,295,empowerment
613,3712,2011,India,appoint,1,2438,0.000410172,7,295,295,empowerment
614,3713,2012,India,appoint,0,3634,0.0,7,295,295,empowerment
615,3714,2013,India,appoint,7,4910,0.001425662,7,295,295,empowerment
616,3715,2014,India,appoint,11,7502,0.001466276,7,295,295,empowerment
617,3716,2015,India,appoint,9,10532,0.000854539,7,295,295,empowerment
618,3717,2016,India,appoint,12,14012,0.0008564089999999999,7,295,295,empowerment
619,3718,2017,India,appoint,25,17097,0.001462245,7,295,295,empowerment
620,3719,2018,India,appoint,40,19170,0.002086594,7,295,295,empowerment
621,3720,2019,India,appoint,35,20849,0.001678738,7,295,295,empowerment
622,3721,2020,India,appoint,47,21942,0.002142011,7,295,295,empowerment
623,3722,2021,India,appoint,26,12622,0.002059895,7,295,295,empowerment
624,3796,2010,India,allegedly,3,1584,0.001893939,9,300,300,crime and violence
625,3797,2011,India,allegedly,5,2438,0.002050861,9,300,300,crime and violence
626,3798,2012,India,allegedly,16,3634,0.004402862,9,300,300,crime and violence
627,3799,2013,India,allegedly,23,4910,0.004684318,9,300,300,crime and violence
628,3800,2014,India,allegedly,28,7502,0.003732338,9,300,300,crime and violence
629,3801,2015,India,allegedly,51,10532,0.004842385,9,300,300,crime and violence
630,3802,2016,India,allegedly,96,14012,0.00685127,9,300,300,crime and violence
631,3803,2017,India,allegedly,117,17097,0.006843306,9,300,300,crime and violence
632,3804,2018,India,allegedly,172,19170,0.008972353,9,300,300,crime and violence
633,3805,2019,India,allegedly,165,20849,0.007914049,9,300,300,crime and violence
634,3806,2020,India,allegedly,183,21942,0.00834017,9,300,300,crime and violence
635,3807,2021,India,allegedly,76,12622,0.006021233000000001,9,300,300,crime and violence
648,3932,2010,India,tribal,1,1584,0.000631313,6,310,310,"race, ethnicity and identity"
649,3933,2011,India,tribal,1,2438,0.000410172,6,310,310,"race, ethnicity and identity"
650,3934,2012,India,tribal,4,3634,0.001100715,6,310,310,"race, ethnicity and identity"
651,3935,2013,India,tribal,4,4910,0.000814664,6,310,310,"race, ethnicity and identity"
652,3936,2014,India,tribal,11,7502,0.001466276,6,310,310,"race, ethnicity and identity"
653,3937,2015,India,tribal,18,10532,0.001709077,6,310,310,"race, ethnicity and identity"
654,3938,2016,India,tribal,26,14012,0.001855552,6,310,310,"race, ethnicity and identity"
655,3939,2017,India,tribal,38,17097,0.002222612,6,310,310,"race, ethnicity and identity"
656,3940,2018,India,tribal,40,19170,0.002086594,6,310,310,"race, ethnicity and identity"
657,3941,2019,India,tribal,59,20849,0.002829872,6,310,310,"race, ethnicity and identity"
658,3942,2020,India,tribal,32,21942,0.00145839,6,310,310,"race, ethnicity and identity"
659,3943,2021,India,tribal,23,12622,0.001822215,6,310,310,"race, ethnicity and identity"
660,4102,2010,India,hijab,1,1584,0.000631313,5,323,323,"race, ethnicity and identity"
661,4103,2011,India,hijab,4,2438,0.001640689,5,323,323,"race, ethnicity and identity"
662,4104,2012,India,hijab,3,3634,0.000825537,5,323,323,"race, ethnicity and identity"
663,4105,2013,India,hijab,3,4910,0.0006109980000000001,5,323,323,"race, ethnicity and identity"
664,4106,2014,India,hijab,8,7502,0.001066382,5,323,323,"race, ethnicity and identity"
665,4107,2015,India,hijab,10,10532,0.000949487,5,323,323,"race, ethnicity and identity"
666,4108,2016,India,hijab,55,14012,0.003925207,5,323,323,"race, ethnicity and identity"
667,4109,2017,India,hijab,64,17097,0.003743347,5,323,323,"race, ethnicity and identity"
668,4110,2018,India,hijab,40,19170,0.002086594,5,323,323,"race, ethnicity and identity"
669,4111,2019,India,hijab,28,20849,0.00134299,5,323,323,"race, ethnicity and identity"
670,4112,2020,India,hijab,15,21942,0.00068362,5,323,323,"race, ethnicity and identity"
671,4113,2021,India,hijab,21,12622,0.001663762,5,323,323,"race, ethnicity and identity"
684,4170,2010,India,survivor,1,1584,0.000631313,8,328,328,empowerment
685,4171,2011,India,survivor,0,2438,0.0,8,328,328,empowerment
686,4172,2012,India,survivor,1,3634,0.000275179,8,328,328,empowerment
687,4173,2013,India,survivor,4,4910,0.000814664,8,328,328,empowerment
688,4174,2014,India,survivor,6,7502,0.0007997869999999999,8,328,328,empowerment
689,4175,2015,India,survivor,18,10532,0.001709077,8,328,328,empowerment
690,4176,2016,India,survivor,20,14012,0.001427348,8,328,328,empowerment
691,4177,2017,India,survivor,29,17097,0.001696204,8,328,328,empowerment
692,4178,2018,India,survivor,35,19170,0.001825769,8,328,328,empowerment
693,4179,2019,India,survivor,34,20849,0.001630774,8,328,328,empowerment
694,4180,2020,India,survivor,42,21942,0.001914137,8,328,328,empowerment
695,4181,2021,India,survivor,21,12622,0.001663762,8,328,328,empowerment
696,4187,2010,India,trial,1,1584,0.000631313,5,329,329,crime and violence
697,4188,2011,India,trial,1,2438,0.000410172,5,329,329,crime and violence
698,4189,2012,India,trial,11,3634,0.003026968,5,329,329,crime and violence
699,4190,2013,India,trial,16,4910,0.003258656,5,329,329,crime and violence
700,4191,2014,India,trial,18,7502,0.00239936,5,329,329,crime and violence
701,4192,2015,India,trial,11,10532,0.001044436,5,329,329,crime and violence
702,4193,2016,India,trial,14,14012,0.000999144,5,329,329,crime and violence
703,4194,2017,India,trial,15,17097,0.000877347,5,329,329,crime and violence
704,4195,2018,India,trial,22,19170,0.001147626,5,329,329,crime and violence
705,4196,2019,India,trial,34,20849,0.001630774,5,329,329,crime and violence
706,4197,2020,India,trial,43,21942,0.001959712,5,329,329,crime and violence
707,4198,2021,India,trial,21,12622,0.001663762,5,329,329,crime and violence
708,4204,2010,India,sexual,5,1584,0.003156566,6,330,330,female stereotypes
709,4205,2011,India,sexual,14,2438,0.005742412,6,330,330,female stereotypes
710,4206,2012,India,sexual,12,3634,0.003302146,6,330,330,female stereotypes
711,4207,2013,India,sexual,34,4910,0.006924644000000001,6,330,330,female stereotypes
712,4208,2014,India,sexual,47,7502,0.006264996,6,330,330,female stereotypes
713,4209,2015,India,sexual,61,10532,0.005791871999999999,6,330,330,female stereotypes
714,4210,2016,India,sexual,78,14012,0.005566656999999999,6,330,330,female stereotypes
715,4211,2017,India,sexual,194,17097,0.01134702,6,330,330,female stereotypes
716,4212,2018,India,sexual,293,19170,0.015284298,6,330,330,female stereotypes
717,4213,2019,India,sexual,156,20849,0.007482373,6,330,330,female stereotypes
718,4214,2020,India,sexual,139,21942,0.006334883,6,330,330,female stereotypes
719,4215,2021,India,sexual,101,12622,0.008001901,6,330,330,female stereotypes
720,4272,2010,India,athlete,1,1584,0.000631313,7,335,336,empowerment
721,4273,2011,India,athlete,4,2438,0.001640689,7,335,336,empowerment
722,4274,2012,India,athlete,13,3634,0.003577325,7,335,336,empowerment
723,4275,2013,India,athlete,6,4910,0.001221996,7,335,336,empowerment
724,4276,2014,India,athlete,4,7502,0.000533191,7,335,336,empowerment
725,4277,2015,India,athlete,14,10532,0.0013292820000000002,7,335,336,empowerment
726,4278,2016,India,athlete,32,14012,0.002283757,7,335,336,empowerment
727,4279,2017,India,athlete,24,17097,0.001403755,7,335,336,empowerment
728,4280,2018,India,athlete,38,19170,0.001982264,7,335,336,empowerment
729,4281,2019,India,athlete,64,20849,0.003069692,7,335,336,empowerment
730,4282,2020,India,athlete,39,21942,0.0017774129999999996,7,335,336,empowerment
731,4283,2021,India,athlete,20,12622,0.001584535,7,335,336,empowerment
732,4357,2010,India,dalit,2,1584,0.001262626,5,343,344,"race, ethnicity and identity"
733,4358,2011,India,dalit,4,2438,0.001640689,5,343,344,"race, ethnicity and identity"
734,4359,2012,India,dalit,6,3634,0.001651073,5,343,344,"race, ethnicity and identity"
735,4360,2013,India,dalit,10,4910,0.00203666,5,343,344,"race, ethnicity and identity"
736,4361,2014,India,dalit,14,7502,0.001866169,5,343,344,"race, ethnicity and identity"
737,4362,2015,India,dalit,13,10532,0.001234333,5,343,344,"race, ethnicity and identity"
738,4363,2016,India,dalit,66,14012,0.004710248,5,343,344,"race, ethnicity and identity"
739,4364,2017,India,dalit,68,17097,0.003977306,5,343,344,"race, ethnicity and identity"
740,4365,2018,India,dalit,106,19170,0.005529473000000001,5,343,344,"race, ethnicity and identity"
741,4366,2019,India,dalit,83,20849,0.003981006,5,343,344,"race, ethnicity and identity"
742,4367,2020,India,dalit,137,21942,0.006243733,5,343,344,"race, ethnicity and identity"
743,4368,2021,India,dalit,39,12622,0.003089843,5,343,344,"race, ethnicity and identity"
768,4459,2010,India,shame,1,1584,0.000631313,5,351,351,female stereotypes
769,4460,2011,India,shame,1,2438,0.000410172,5,351,351,female stereotypes
770,4461,2012,India,shame,3,3634,0.000825537,5,351,351,female stereotypes
771,4462,2013,India,shame,4,4910,0.000814664,5,351,351,female stereotypes
772,4463,2014,India,shame,8,7502,0.001066382,5,351,351,female stereotypes
773,4464,2015,India,shame,30,10532,0.002848462,5,351,351,female stereotypes
774,4465,2016,India,shame,38,14012,0.002711961,5,351,351,female stereotypes
775,4466,2017,India,shame,43,17097,0.002515061,5,351,351,female stereotypes
776,4467,2018,India,shame,55,19170,0.002869066,5,351,351,female stereotypes
777,4468,2019,India,shame,47,20849,0.002254305,5,351,351,female stereotypes
778,4469,2020,India,shame,32,21942,0.00145839,5,351,351,female stereotypes
779,4470,2021,India,shame,19,12622,0.001505308,5,351,351,female stereotypes
804,4833,2010,India,security,1,1584,0.000631313,8,373,375,crime and violence
805,4834,2011,India,security,0,2438,0.0,8,373,375,crime and violence
806,4835,2012,India,security,6,3634,0.001651073,8,373,375,crime and violence
807,4836,2013,India,security,14,4910,0.002851324,8,373,375,crime and violence
808,4837,2014,India,security,15,7502,0.001999467,8,373,375,crime and violence
809,4838,2015,India,security,17,10532,0.0016141279999999998,8,373,375,crime and violence
810,4839,2016,India,security,30,14012,0.002141022,8,373,375,crime and violence
811,4840,2017,India,security,42,17097,0.002456571,8,373,375,crime and violence
812,4841,2018,India,security,34,19170,0.001773605,8,373,375,crime and violence
813,4842,2019,India,security,48,20849,0.002302269,8,373,375,crime and violence
814,4843,2020,India,security,44,21942,0.002005287,8,373,375,crime and violence
815,4844,2021,India,security,17,12622,0.001346855,8,373,375,crime and violence
816,4867,2010,India,daughter,22,1584,0.013888889,8,375,371,female stereotypes
817,4868,2011,India,daughter,45,2438,0.018457752,8,375,371,female stereotypes
818,4869,2012,India,daughter,57,3634,0.015685195,8,375,371,female stereotypes
819,4870,2013,India,daughter,80,4910,0.016293279,8,375,371,female stereotypes
820,4871,2014,India,daughter,111,7502,0.014796054,8,375,371,female stereotypes
821,4872,2015,India,daughter,176,10532,0.016710976000000002,8,375,371,female stereotypes
822,4873,2016,India,daughter,258,14012,0.018412789,8,375,371,female stereotypes
823,4874,2017,India,daughter,300,17097,0.017546938,8,375,371,female stereotypes
824,4875,2018,India,daughter,309,19170,0.016118936,8,375,371,female stereotypes
825,4876,2019,India,daughter,423,20849,0.020288743,8,375,371,female stereotypes
826,4877,2020,India,daughter,484,21942,0.022058153,8,375,371,female stereotypes
827,4878,2021,India,daughter,371,12622,0.029393123,8,375,371,female stereotypes
828,4901,2010,India,lead,8,1584,0.005050505,4,377,377,empowerment
829,4902,2011,India,lead,12,2438,0.0049220670000000005,4,377,377,empowerment
830,4903,2012,India,lead,19,3634,0.005228398,4,377,377,empowerment
831,4904,2013,India,lead,22,4910,0.004480652,4,377,377,empowerment
832,4905,2014,India,lead,58,7502,0.007731271999999998,4,377,377,empowerment
833,4906,2015,India,lead,82,10532,0.0077857959999999985,4,377,377,empowerment
834,4907,2016,India,lead,119,14012,0.008492721,4,377,377,empowerment
835,4908,2017,India,lead,117,17097,0.006843306,4,377,377,empowerment
836,4909,2018,India,lead,191,19170,0.009963485,4,377,377,empowerment
837,4910,2019,India,lead,213,20849,0.010216317,4,377,377,empowerment
838,4911,2020,India,lead,238,21942,0.010846778,4,377,377,empowerment
839,4912,2021,India,lead,133,12622,0.010537157,4,377,377,empowerment
840,5071,2010,India,abuse,6,1584,0.003787879,5,389,389,crime and violence
841,5072,2011,India,abuse,8,2438,0.003281378,5,389,389,crime and violence
842,5073,2012,India,abuse,14,3634,0.003852504,5,389,389,crime and violence
843,5074,2013,India,abuse,26,4910,0.005295316,5,389,389,crime and violence
844,5075,2014,India,abuse,39,7502,0.005198614,5,389,389,crime and violence
845,5076,2015,India,abuse,49,10532,0.004652488,5,389,389,crime and violence
846,5077,2016,India,abuse,87,14012,0.006208964,5,389,389,crime and violence
847,5078,2017,India,abuse,148,17097,0.008656489,5,389,389,crime and violence
848,5079,2018,India,abuse,140,19170,0.007303078,5,389,389,crime and violence
849,5080,2019,India,abuse,132,20849,0.006331239000000001,5,389,389,crime and violence
850,5081,2020,India,abuse,154,21942,0.007018503000000001,5,389,389,crime and violence
851,5082,2021,India,abuse,92,12622,0.007288861,5,389,389,crime and violence
852,5105,2010,India,pink,1,1584,0.000631313,4,391,391,female stereotypes
853,5106,2011,India,pink,2,2438,0.000820345,4,391,391,female stereotypes
854,5107,2012,India,pink,8,3634,0.002201431,4,391,391,female stereotypes
855,5108,2013,India,pink,7,4910,0.001425662,4,391,391,female stereotypes
856,5109,2014,India,pink,5,7502,0.0006664889999999999,4,391,391,female stereotypes
857,5110,2015,India,pink,14,10532,0.0013292820000000002,4,391,391,female stereotypes
858,5111,2016,India,pink,35,14012,0.002497859,4,391,391,female stereotypes
859,5112,2017,India,pink,36,17097,0.002105633,4,391,391,female stereotypes
860,5113,2018,India,pink,40,19170,0.002086594,4,391,391,female stereotypes
861,5114,2019,India,pink,53,20849,0.002542088,4,391,391,female stereotypes
862,5115,2020,India,pink,22,21942,0.001002643,4,391,391,female stereotypes
863,5116,2021,India,pink,15,12622,0.001188401,4,391,391,female stereotypes
876,5275,2010,India,knife,1,1584,0.000631313,5,402,403,crime and violence
877,5276,2011,India,knife,2,2438,0.000820345,5,402,403,crime and violence
878,5277,2012,India,knife,7,3634,0.001926252,5,402,403,crime and violence
879,5278,2013,India,knife,3,4910,0.0006109980000000001,5,402,403,crime and violence
880,5279,2014,India,knife,11,7502,0.001466276,5,402,403,crime and violence
881,5280,2015,India,knife,6,10532,0.000569692,5,402,403,crime and violence
882,5281,2016,India,knife,10,14012,0.000713674,5,402,403,crime and violence
883,5282,2017,India,knife,14,17097,0.000818857,5,402,403,crime and violence
884,5283,2018,India,knife,16,19170,0.0008346369999999999,5,402,403,crime and violence
885,5284,2019,India,knife,18,20849,0.000863351,5,402,403,crime and violence
886,5285,2020,India,knife,16,21942,0.000729195,5,402,403,crime and violence
887,5286,2021,India,knife,14,12622,0.001109174,5,402,403,crime and violence
888,5292,2010,India,march,1,1584,0.000631313,5,403,404,empowerment
889,5293,2011,India,march,2,2438,0.000820345,5,403,404,empowerment
890,5294,2012,India,march,2,3634,0.000550358,5,403,404,empowerment
891,5295,2013,India,march,2,4910,0.000407332,5,403,404,empowerment
892,5296,2014,India,march,5,7502,0.0006664889999999999,5,403,404,empowerment
893,5297,2015,India,march,8,10532,0.00075959,5,403,404,empowerment
894,5298,2016,India,march,15,14012,0.001070511,5,403,404,empowerment
895,5299,2017,India,march,57,17097,0.003333918,5,403,404,empowerment
896,5300,2018,India,march,57,19170,0.002973396,5,403,404,empowerment
897,5301,2019,India,march,37,20849,0.001774665,5,403,404,empowerment
898,5302,2020,India,march,40,21942,0.001822988,5,403,404,empowerment
899,5303,2021,India,march,14,12622,0.001109174,5,403,404,empowerment
912,5496,2010,India,mom,9,1584,0.005681818000000001,3,418,418,female stereotypes
913,5497,2011,India,mom,12,2438,0.0049220670000000005,3,418,418,female stereotypes
914,5498,2012,India,mom,36,3634,0.009906439,3,418,418,female stereotypes
915,5499,2013,India,mom,34,4910,0.006924644000000001,3,418,418,female stereotypes
916,5500,2014,India,mom,44,7502,0.005865103000000001,3,418,418,female stereotypes
917,5501,2015,India,mom,90,10532,0.008545385,3,418,418,female stereotypes
918,5502,2016,India,mom,114,14012,0.008135884,3,418,418,female stereotypes
919,5503,2017,India,mom,122,17097,0.007135755,3,418,418,female stereotypes
920,5504,2018,India,mom,172,19170,0.008972353,3,418,418,female stereotypes
921,5505,2019,India,mom,190,20849,0.009113147,3,418,418,female stereotypes
922,5506,2020,India,mom,227,21942,0.010345456,3,418,418,female stereotypes
923,5507,2021,India,mom,118,12622,0.009348756,3,418,418,female stereotypes
948,5666,2010,India,rape,30,1584,0.018939394,4,430,429,crime and violence
949,5667,2011,India,rape,38,2438,0.015586546,4,430,429,crime and violence
950,5668,2012,India,rape,91,3634,0.025041277,4,430,429,crime and violence
951,5669,2013,India,rape,186,4910,0.037881874,4,430,429,crime and violence
952,5670,2014,India,rape,243,7502,0.032391362,4,430,429,crime and violence
953,5671,2015,India,rape,220,10532,0.02088872,4,430,429,crime and violence
954,5672,2016,India,rape,335,14012,0.023908079,4,430,429,crime and violence
955,5673,2017,India,rape,449,17097,0.026261917000000003,4,430,429,crime and violence
956,5674,2018,India,rape,620,19170,0.032342201,4,430,429,crime and violence
957,5675,2019,India,rape,587,20849,0.028154828,4,430,429,crime and violence
958,5676,2020,India,rape,659,21942,0.030033725,4,430,429,crime and violence
959,5677,2021,India,rape,382,12622,0.030264617,4,430,429,crime and violence
960,5683,2010,India,pregnant,15,1584,0.009469697,8,431,430,female stereotypes
961,5684,2011,India,pregnant,29,2438,0.011894996,8,431,430,female stereotypes
962,5685,2012,India,pregnant,39,3634,0.010731976,8,431,430,female stereotypes
963,5686,2013,India,pregnant,39,4910,0.007942974,8,431,430,female stereotypes
964,5687,2014,India,pregnant,71,7502,0.009464143,8,431,430,female stereotypes
965,5688,2015,India,pregnant,104,10532,0.009874668,8,431,430,female stereotypes
966,5689,2016,India,pregnant,140,14012,0.009991436,8,431,430,female stereotypes
967,5690,2017,India,pregnant,219,17097,0.012809265,8,431,430,female stereotypes
968,5691,2018,India,pregnant,196,19170,0.010224309,8,431,430,female stereotypes
969,5692,2019,India,pregnant,205,20849,0.009832606,8,431,430,female stereotypes
970,5693,2020,India,pregnant,327,21942,0.014902926,8,431,430,female stereotypes
971,5694,2021,India,pregnant,191,12622,0.015132308999999997,8,431,430,female stereotypes
972,5717,2010,India,police,26,1584,0.016414141,6,433,433,crime and violence
973,5718,2011,India,police,33,2438,0.013535685,6,433,433,crime and violence
974,5719,2012,India,police,67,3634,0.018436984,6,433,433,crime and violence
975,5720,2013,India,police,80,4910,0.016293279,6,433,433,crime and violence
976,5721,2014,India,police,129,7502,0.017195415,6,433,433,crime and violence
977,5722,2015,India,police,181,10532,0.01718572,6,433,433,crime and violence
978,5723,2016,India,police,226,14012,0.016129031999999998,6,433,433,crime and violence
979,5724,2017,India,police,309,17097,0.018073346,6,433,433,crime and violence
980,5725,2018,India,police,422,19170,0.022013563,6,433,433,crime and violence
981,5726,2019,India,police,516,20849,0.024749388,6,433,433,crime and violence
982,5727,2020,India,police,504,21942,0.022969647000000003,6,433,433,crime and violence
983,5728,2021,India,police,325,12622,0.025748693,6,433,433,crime and violence
984,5785,2010,India,inspire,3,1584,0.001893939,7,437,437,empowerment
985,5786,2011,India,inspire,5,2438,0.002050861,7,437,437,empowerment
986,5787,2012,India,inspire,7,3634,0.001926252,7,437,437,empowerment
987,5788,2013,India,inspire,10,4910,0.00203666,7,437,437,empowerment
988,5789,2014,India,inspire,20,7502,0.002665956,7,437,437,empowerment
989,5790,2015,India,inspire,35,10532,0.003323205,7,437,437,empowerment
990,5791,2016,India,inspire,56,14012,0.003996574,7,437,437,empowerment
991,5792,2017,India,inspire,63,17097,0.003684857,7,437,437,empowerment
992,5793,2018,India,inspire,69,19170,0.003599374,7,437,437,empowerment
993,5794,2019,India,inspire,73,20849,0.003501367,7,437,437,empowerment
994,5795,2020,India,inspire,121,21942,0.005514538,7,437,437,empowerment
995,5796,2021,India,inspire,37,12622,0.00293139,7,437,437,empowerment
996,5802,2010,India,family,18,1584,0.011363636000000002,6,438,438,female stereotypes
997,5803,2011,India,family,14,2438,0.005742412,6,438,438,female stereotypes
998,5804,2012,India,family,48,3634,0.013208586,6,438,438,female stereotypes
999,5805,2013,India,family,51,4910,0.010386965,6,438,438,female stereotypes
1000,5806,2014,India,family,83,7502,0.011063716,6,438,438,female stereotypes
1001,5807,2015,India,family,89,10532,0.008450437,6,438,438,female stereotypes
1002,5808,2016,India,family,144,14012,0.010276906,6,438,438,female stereotypes
1003,5809,2017,India,family,199,17097,0.011639469,6,438,438,female stereotypes
1004,5810,2018,India,family,272,19170,0.014188837,6,438,438,female stereotypes
1005,5811,2019,India,family,296,20849,0.014197324,6,438,438,female stereotypes
1006,5812,2020,India,family,399,21942,0.018184304,6,438,438,female stereotypes
1007,5813,2021,India,family,219,12622,0.017350658,6,438,438,female stereotypes
1008,5972,2010,India,accuse,16,1584,0.01010101,6,450,450,crime and violence
1009,5973,2011,India,accuse,17,2438,0.006972929,6,450,450,crime and violence
1010,5974,2012,India,accuse,26,3634,0.007154651,6,450,450,crime and violence
1011,5975,2013,India,accuse,50,4910,0.010183299,6,450,450,crime and violence
1012,5976,2014,India,accuse,60,7502,0.007997866999999999,6,450,450,crime and violence
1013,5977,2015,India,accuse,80,10532,0.007595898,6,450,450,crime and violence
1014,5978,2016,India,accuse,115,14012,0.008207251,6,450,450,crime and violence
1015,5979,2017,India,accuse,186,17097,0.010879102,6,450,450,crime and violence
1016,5980,2018,India,accuse,343,19170,0.01789254,6,450,450,crime and violence
1017,5981,2019,India,accuse,337,20849,0.016163845,6,450,450,crime and violence
1018,5982,2020,India,accuse,293,21942,0.013353386,6,450,450,crime and violence
1019,5983,2021,India,accuse,185,12622,0.014656948,6,450,450,crime and violence
1020,6057,2010,India,first,57,1584,0.035984848,5,455,452,empowerment
1021,6058,2011,India,first,76,2438,0.031173093,5,455,452,empowerment
1022,6059,2012,India,first,119,3634,0.032746285,5,455,452,empowerment
1023,6060,2013,India,first,190,4910,0.038696538,5,455,452,empowerment
1024,6061,2014,India,first,231,7502,0.030791789,5,455,452,empowerment
1025,6062,2015,India,first,381,10532,0.036175465,5,455,452,empowerment
1026,6063,2016,India,first,560,14012,0.039965744,5,455,452,empowerment
1027,6064,2017,India,first,743,17097,0.043457917,5,455,452,empowerment
1028,6065,2018,India,first,887,19170,0.046270214,5,455,452,empowerment
1029,6066,2019,India,first,921,20849,0.044174781,5,455,452,empowerment
1030,6067,2020,India,first,970,21942,0.044207456,5,455,452,empowerment
1031,6068,2021,India,first,655,12622,0.051893519000000006,5,455,452,empowerment
1032,6074,2010,India,white,6,1584,0.003787879,5,456,456,"race, ethnicity and identity"
1033,6075,2011,India,white,11,2438,0.004511895,5,456,456,"race, ethnicity and identity"
1034,6076,2012,India,white,10,3634,0.002751789,5,456,456,"race, ethnicity and identity"
1035,6077,2013,India,white,19,4910,0.003869654,5,456,456,"race, ethnicity and identity"
1036,6078,2014,India,white,18,7502,0.00239936,5,456,456,"race, ethnicity and identity"
1037,6079,2015,India,white,34,10532,0.003228257,5,456,456,"race, ethnicity and identity"
1038,6080,2016,India,white,62,14012,0.004424779,5,456,456,"race, ethnicity and identity"
1039,6081,2017,India,white,73,17097,0.004269755,5,456,456,"race, ethnicity and identity"
1040,6082,2018,India,white,86,19170,0.004486176,5,456,456,"race, ethnicity and identity"
1041,6083,2019,India,white,81,20849,0.003885078,5,456,456,"race, ethnicity and identity"
1042,6084,2020,India,white,160,21942,0.007291951999999998,5,456,456,"race, ethnicity and identity"
1043,6085,2021,India,white,68,12622,0.005387419,5,456,456,"race, ethnicity and identity"
1044,6108,2010,India,kidnap,3,1584,0.001893939,6,458,458,crime and violence
1045,6109,2011,India,kidnap,6,2438,0.002461034,6,458,458,crime and violence
1046,6110,2012,India,kidnap,10,3634,0.002751789,6,458,458,crime and violence
1047,6111,2013,India,kidnap,16,4910,0.003258656,6,458,458,crime and violence
1048,6112,2014,India,kidnap,24,7502,0.0031991470000000003,6,458,458,crime and violence
1049,6113,2015,India,kidnap,12,10532,0.001139385,6,458,458,crime and violence
1050,6114,2016,India,kidnap,40,14012,0.002854696,6,458,458,crime and violence
1051,6115,2017,India,kidnap,34,17097,0.001988653,6,458,458,crime and violence
1052,6116,2018,India,kidnap,56,19170,0.002921231,6,458,458,crime and violence
1053,6117,2019,India,kidnap,55,20849,0.002638016,6,458,458,crime and violence
1054,6118,2020,India,kidnap,46,21942,0.002096436,6,458,458,crime and violence
1055,6119,2021,India,kidnap,34,12622,0.0026937090000000003,6,458,458,crime and violence
1056,6142,2010,India,married,3,1584,0.001893939,7,460,460,female stereotypes
1057,6143,2011,India,married,5,2438,0.002050861,7,460,460,female stereotypes
1058,6144,2012,India,married,8,3634,0.002201431,7,460,460,female stereotypes
1059,6145,2013,India,married,14,4910,0.002851324,7,460,460,female stereotypes
1060,6146,2014,India,married,15,7502,0.001999467,7,460,460,female stereotypes
1061,6147,2015,India,married,25,10532,0.002373718,7,460,460,female stereotypes
1062,6148,2016,India,married,43,14012,0.003068798,7,460,460,female stereotypes
1063,6149,2017,India,married,32,17097,0.001871673,7,460,460,female stereotypes
1064,6150,2018,India,married,56,19170,0.002921231,7,460,460,female stereotypes
1065,6151,2019,India,married,33,20849,0.00158281,7,460,460,female stereotypes
1066,6152,2020,India,married,39,21942,0.0017774129999999996,7,460,460,female stereotypes
1067,6153,2021,India,married,34,12622,0.0026937090000000003,7,460,460,female stereotypes
1080,6278,2010,India,drama,1,1584,0.000631313,5,470,471,female stereotypes
1081,6279,2011,India,drama,1,2438,0.000410172,5,470,471,female stereotypes
1082,6280,2012,India,drama,0,3634,0.0,5,470,471,female stereotypes
1083,6281,2013,India,drama,2,4910,0.000407332,5,470,471,female stereotypes
1084,6282,2014,India,drama,5,7502,0.0006664889999999999,5,470,471,female stereotypes
1085,6283,2015,India,drama,6,10532,0.000569692,5,470,471,female stereotypes
1086,6284,2016,India,drama,5,14012,0.000356837,5,470,471,female stereotypes
1087,6285,2017,India,drama,17,17097,0.000994326,5,470,471,female stereotypes
1088,6286,2018,India,drama,13,19170,0.000678143,5,470,471,female stereotypes
1089,6287,2019,India,drama,21,20849,0.001007243,5,470,471,female stereotypes
1090,6288,2020,India,drama,21,21942,0.000957069,5,470,471,female stereotypes
1091,6289,2021,India,drama,11,12622,0.0008714939999999999,5,470,471,female stereotypes
1092,6312,2010,India,feminist,1,1584,0.000631313,8,472,473,empowerment
1093,6313,2011,India,feminist,2,2438,0.000820345,8,472,473,empowerment
1094,6314,2012,India,feminist,0,3634,0.0,8,472,473,empowerment
1095,6315,2013,India,feminist,9,4910,0.001832994,8,472,473,empowerment
1096,6316,2014,India,feminist,11,7502,0.001466276,8,472,473,empowerment
1097,6317,2015,India,feminist,28,10532,0.0026585640000000004,8,472,473,empowerment
1098,6318,2016,India,feminist,39,14012,0.002783329,8,472,473,empowerment
1099,6319,2017,India,feminist,32,17097,0.001871673,8,472,473,empowerment
1100,6320,2018,India,feminist,43,19170,0.002243088,8,472,473,empowerment
1101,6321,2019,India,feminist,30,20849,0.001438918,8,472,473,empowerment
1102,6322,2020,India,feminist,31,21942,0.001412816,8,472,473,empowerment
1103,6323,2021,India,feminist,11,12622,0.0008714939999999999,8,472,473,empowerment
1152,6856,2010,India,marry,14,1584,0.008838384,5,509,508,female stereotypes
1153,6857,2011,India,marry,14,2438,0.005742412,5,509,508,female stereotypes
1154,6858,2012,India,marry,17,3634,0.004678041,5,509,508,female stereotypes
1155,6859,2013,India,marry,23,4910,0.004684318,5,509,508,female stereotypes
1156,6860,2014,India,marry,67,7502,0.008930951999999999,5,509,508,female stereotypes
1157,6861,2015,India,marry,97,10532,0.009210027,5,509,508,female stereotypes
1158,6862,2016,India,marry,97,14012,0.006922638,5,509,508,female stereotypes
1159,6863,2017,India,marry,135,17097,0.007896122,5,509,508,female stereotypes
1160,6864,2018,India,marry,178,19170,0.009285342,5,509,508,female stereotypes
1161,6865,2019,India,marry,172,20849,0.008249796,5,509,508,female stereotypes
1162,6866,2020,India,marry,163,21942,0.007428675999999999,5,509,508,female stereotypes
1163,6867,2021,India,marry,135,12622,0.010695611,5,509,508,female stereotypes
1176,6992,2010,India,death,27,1584,0.017045455,5,519,519,crime and violence
1177,6993,2011,India,death,40,2438,0.016406891,5,519,519,crime and violence
1178,6994,2012,India,death,65,3634,0.017886626,5,519,519,crime and violence
1179,6995,2013,India,death,84,4910,0.017107943,5,519,519,crime and violence
1180,6996,2014,India,death,146,7502,0.019461477,5,519,519,crime and violence
1181,6997,2015,India,death,192,10532,0.018230156,5,519,519,crime and violence
1182,6998,2016,India,death,211,14012,0.015058521000000004,5,519,519,crime and violence
1183,6999,2017,India,death,290,17097,0.01696204,5,519,519,crime and violence
1184,7000,2018,India,death,341,19170,0.017788211,5,519,519,crime and violence
1185,7001,2019,India,death,378,20849,0.018130366,5,519,519,crime and violence
1186,7002,2020,India,death,463,21942,0.021101085,5,519,519,crime and violence
1187,7003,2021,India,death,246,12622,0.01948978,5,519,519,crime and violence
1188,7060,2010,India,saudi,2,1584,0.001262626,5,524,524,"race, ethnicity and identity"
1189,7061,2011,India,saudi,13,2438,0.00533224,5,524,524,"race, ethnicity and identity"
1190,7062,2012,India,saudi,26,3634,0.007154651,5,524,524,"race, ethnicity and identity"
1191,7063,2013,India,saudi,24,4910,0.004887984000000001,5,524,524,"race, ethnicity and identity"
1192,7064,2014,India,saudi,15,7502,0.001999467,5,524,524,"race, ethnicity and identity"
1193,7065,2015,India,saudi,41,10532,0.003892898,5,524,524,"race, ethnicity and identity"
1194,7066,2016,India,saudi,36,14012,0.002569226,5,524,524,"race, ethnicity and identity"
1195,7067,2017,India,saudi,109,17097,0.006375387,5,524,524,"race, ethnicity and identity"
1196,7068,2018,India,saudi,138,19170,0.007198748000000001,5,524,524,"race, ethnicity and identity"
1197,7069,2019,India,saudi,96,20849,0.004604537,5,524,524,"race, ethnicity and identity"
1198,7070,2020,India,saudi,26,21942,0.001184942,5,524,524,"race, ethnicity and identity"
1199,7071,2021,India,saudi,18,12622,0.001426081,5,524,524,"race, ethnicity and identity"
1200,7094,2010,India,freedom,1,1584,0.000631313,7,526,526,empowerment
1201,7095,2011,India,freedom,6,2438,0.002461034,7,526,526,empowerment
1202,7096,2012,India,freedom,2,3634,0.000550358,7,526,526,empowerment
1203,7097,2013,India,freedom,6,4910,0.001221996,7,526,526,empowerment
1204,7098,2014,India,freedom,7,7502,0.000933085,7,526,526,empowerment
1205,7099,2015,India,freedom,13,10532,0.001234333,7,526,526,empowerment
1206,7100,2016,India,freedom,9,14012,0.000642307,7,526,526,empowerment
1207,7101,2017,India,freedom,25,17097,0.001462245,7,526,526,empowerment
1208,7102,2018,India,freedom,37,19170,0.001930099,7,526,526,empowerment
1209,7103,2019,India,freedom,32,20849,0.001534846,7,526,526,empowerment
1210,7104,2020,India,freedom,28,21942,0.001276092,7,526,526,empowerment
1211,7105,2021,India,freedom,9,12622,0.0007130410000000001,7,526,526,empowerment
1212,7111,2010,India,investigate,1,1584,0.000631313,11,527,527,crime and violence
1213,7112,2011,India,investigate,0,2438,0.0,11,527,527,crime and violence
1214,7113,2012,India,investigate,2,3634,0.000550358,11,527,527,crime and violence
1215,7114,2013,India,investigate,1,4910,0.000203666,11,527,527,crime and violence
1216,7115,2014,India,investigate,3,7502,0.000399893,11,527,527,crime and violence
1217,7116,2015,India,investigate,7,10532,0.0006646410000000001,11,527,527,crime and violence
1218,7117,2016,India,investigate,7,14012,0.000499572,11,527,527,crime and violence
1219,7118,2017,India,investigate,6,17097,0.00035093900000000004,11,527,527,crime and violence
1220,7119,2018,India,investigate,6,19170,0.000312989,11,527,527,crime and violence
1221,7120,2019,India,investigate,18,20849,0.000863351,11,527,527,crime and violence
1222,7121,2020,India,investigate,13,21942,0.000592471,11,527,527,crime and violence
1223,7122,2021,India,investigate,9,12622,0.0007130410000000001,11,527,527,crime and violence
1224,7196,2010,India,award,7,1584,0.004419192,5,533,533,empowerment
1225,7197,2011,India,award,12,2438,0.0049220670000000005,5,533,533,empowerment
1226,7198,2012,India,award,9,3634,0.00247661,5,533,533,empowerment
1227,7199,2013,India,award,22,4910,0.004480652,5,533,533,empowerment
1228,7200,2014,India,award,37,7502,0.004932018,5,533,533,empowerment
1229,7201,2015,India,award,76,10532,0.0072161030000000015,5,533,533,empowerment
1230,7202,2016,India,award,64,14012,0.004567514,5,533,533,empowerment
1231,7203,2017,India,award,92,17097,0.005381061,5,533,533,empowerment
1232,7204,2018,India,award,92,19170,0.004799165,5,533,533,empowerment
1233,7205,2019,India,award,134,20849,0.006427166999999999,5,533,533,empowerment
1234,7206,2020,India,award,125,21942,0.005696837,5,533,533,empowerment
1235,7207,2021,India,award,61,12622,0.004832832,5,533,533,empowerment
1236,7400,2010,India,entrepreneur,12,1584,0.007575758,12,546,546,empowerment
1237,7401,2011,India,entrepreneur,16,2438,0.006562756,12,546,546,empowerment
1238,7402,2012,India,entrepreneur,25,3634,0.006879471999999999,12,546,546,empowerment
1239,7403,2013,India,entrepreneur,28,4910,0.005702648,12,546,546,empowerment
1240,7404,2014,India,entrepreneur,37,7502,0.004932018,12,546,546,empowerment
1241,7405,2015,India,entrepreneur,42,10532,0.003987847,12,546,546,empowerment
1242,7406,2016,India,entrepreneur,88,14012,0.006280331,12,546,546,empowerment
1243,7407,2017,India,entrepreneur,88,17097,0.005147102,12,546,546,empowerment
1244,7408,2018,India,entrepreneur,101,19170,0.005268649,12,546,546,empowerment
1245,7409,2019,India,entrepreneur,108,20849,0.005180105,12,546,546,empowerment
1246,7410,2020,India,entrepreneur,136,21942,0.006198159,12,546,546,empowerment
1247,7411,2021,India,entrepreneur,98,12622,0.007764221,12,546,546,empowerment
1260,7570,2010,India,hate,4,1584,0.002525253,4,556,557,crime and violence
1261,7571,2011,India,hate,6,2438,0.002461034,4,556,557,crime and violence
1262,7572,2012,India,hate,9,3634,0.00247661,4,556,557,crime and violence
1263,7573,2013,India,hate,10,4910,0.00203666,4,556,557,crime and violence
1264,7574,2014,India,hate,13,7502,0.001732871,4,556,557,crime and violence
1265,7575,2015,India,hate,18,10532,0.001709077,4,556,557,crime and violence
1266,7576,2016,India,hate,20,14012,0.001427348,4,556,557,crime and violence
1267,7577,2017,India,hate,33,17097,0.001930163,4,556,557,crime and violence
1268,7578,2018,India,hate,33,19170,0.00172144,4,556,557,crime and violence
1269,7579,2019,India,hate,34,20849,0.001630774,4,556,557,crime and violence
1270,7580,2020,India,hate,43,21942,0.001959712,4,556,557,crime and violence
1271,7581,2021,India,hate,31,12622,0.002456029,4,556,557,crime and violence
1272,7587,2010,India,murder,19,1584,0.011994949,6,557,556,crime and violence
1273,7588,2011,India,murder,33,2438,0.013535685,6,557,556,crime and violence
1274,7589,2012,India,murder,48,3634,0.013208586,6,557,556,crime and violence
1275,7590,2013,India,murder,72,4910,0.014663951,6,557,556,crime and violence
1276,7591,2014,India,murder,102,7502,0.013596374,6,557,556,crime and violence
1277,7592,2015,India,murder,95,10532,0.009020129,6,557,556,crime and violence
1278,7593,2016,India,murder,239,14012,0.017056808,6,557,556,crime and violence
1279,7594,2017,India,murder,199,17097,0.011639469,6,557,556,crime and violence
1280,7595,2018,India,murder,223,19170,0.01163276,6,557,556,crime and violence
1281,7596,2019,India,murder,285,20849,0.01366972,6,557,556,crime and violence
1282,7597,2020,India,murder,264,21942,0.01203172,6,557,556,crime and violence
1283,7598,2021,India,murder,147,12622,0.011646332,6,557,556,crime and violence
1296,7689,2010,India,power,7,1584,0.004419192,5,563,563,empowerment
1297,7690,2011,India,power,17,2438,0.006972929,5,563,563,empowerment
1298,7691,2012,India,power,24,3634,0.006604293000000001,5,563,563,empowerment
1299,7692,2013,India,power,37,4910,0.007535641999999999,5,563,563,empowerment
1300,7693,2014,India,power,40,7502,0.005331911,5,563,563,empowerment
1301,7694,2015,India,power,66,10532,0.006266616,5,563,563,empowerment
1302,7695,2016,India,power,72,14012,0.005138453,5,563,563,empowerment
1303,7696,2017,India,power,132,17097,0.007720653,5,563,563,empowerment
1304,7697,2018,India,power,109,19170,0.005685968,5,563,563,empowerment
1305,7698,2019,India,power,134,20849,0.006427166999999999,5,563,563,empowerment
1306,7699,2020,India,power,98,21942,0.00446632,5,563,563,empowerment
1307,7700,2021,India,power,53,12622,0.004199018,5,563,563,empowerment
1320,7740,2010,India,period,2,1584,0.001262626,6,567,567,female stereotypes
1321,7741,2011,India,period,1,2438,0.000410172,6,567,567,female stereotypes
1322,7742,2012,India,period,1,3634,0.000275179,6,567,567,female stereotypes
1323,7743,2013,India,period,1,4910,0.000203666,6,567,567,female stereotypes
1324,7744,2014,India,period,4,7502,0.000533191,6,567,567,female stereotypes
1325,7745,2015,India,period,16,10532,0.00151918,6,567,567,female stereotypes
1326,7746,2016,India,period,38,14012,0.002711961,6,567,567,female stereotypes
1327,7747,2017,India,period,44,17097,0.002573551,6,567,567,female stereotypes
1328,7748,2018,India,period,30,19170,0.001564945,6,567,567,female stereotypes
1329,7749,2019,India,period,45,20849,0.002158377,6,567,567,female stereotypes
1330,7750,2020,India,period,45,21942,0.002050861,6,567,567,female stereotypes
1331,7751,2021,India,period,15,12622,0.001188401,6,567,567,female stereotypes
1344,7842,2010,India,burn,4,1584,0.002525253,4,574,574,crime and violence
1345,7843,2011,India,burn,5,2438,0.002050861,4,574,574,crime and violence
1346,7844,2012,India,burn,12,3634,0.003302146,4,574,574,crime and violence
1347,7845,2013,India,burn,16,4910,0.003258656,4,574,574,crime and violence
1348,7846,2014,India,burn,17,7502,0.002266062,4,574,574,crime and violence
1349,7847,2015,India,burn,30,10532,0.002848462,4,574,574,crime and violence
1350,7848,2016,India,burn,53,14012,0.003782472,4,574,574,crime and violence
1351,7849,2017,India,burn,63,17097,0.003684857,4,574,574,crime and violence
1352,7850,2018,India,burn,81,19170,0.004225352,4,574,574,crime and violence
1353,7851,2019,India,burn,93,20849,0.004460646,4,574,574,crime and violence
1354,7852,2020,India,burn,66,21942,0.00300793,4,574,574,crime and violence
1355,7853,2021,India,burn,29,12622,0.002297576,4,574,574,crime and violence
1356,7859,2010,India,famous,4,1584,0.002525253,6,575,575,empowerment
1357,7860,2011,India,famous,2,2438,0.000820345,6,575,575,empowerment
1358,7861,2012,India,famous,10,3634,0.002751789,6,575,575,empowerment
1359,7862,2013,India,famous,18,4910,0.003665988,6,575,575,empowerment
1360,7863,2014,India,famous,9,7502,0.00119968,6,575,575,empowerment
1361,7864,2015,India,famous,22,10532,0.0020888720000000003,6,575,575,empowerment
1362,7865,2016,India,famous,21,14012,0.001498715,6,575,575,empowerment
1363,7866,2017,India,famous,13,17097,0.000760367,6,575,575,empowerment
1364,7867,2018,India,famous,18,19170,0.000938967,6,575,575,empowerment
1365,7868,2019,India,famous,27,20849,0.001295026,6,575,575,empowerment
1366,7869,2020,India,famous,20,21942,0.000911494,6,575,575,empowerment
1367,7870,2021,India,famous,29,12622,0.002297576,6,575,575,empowerment
1368,7893,2010,India,wife,22,1584,0.013888889,4,577,577,female stereotypes
1369,7894,2011,India,wife,29,2438,0.011894996,4,577,577,female stereotypes
1370,7895,2012,India,wife,26,3634,0.007154651,4,577,577,female stereotypes
1371,7896,2013,India,wife,41,4910,0.008350305,4,577,577,female stereotypes
1372,7897,2014,India,wife,55,7502,0.007331378,4,577,577,female stereotypes
1373,7898,2015,India,wife,97,10532,0.009210027,4,577,577,female stereotypes
1374,7899,2016,India,wife,93,14012,0.006637168000000001,4,577,577,female stereotypes
1375,7900,2017,India,wife,160,17097,0.009358367,4,577,577,female stereotypes
1376,7901,2018,India,wife,210,19170,0.010954617,4,577,577,female stereotypes
1377,7902,2019,India,wife,223,20849,0.010695957,4,577,577,female stereotypes
1378,7903,2020,India,wife,222,21942,0.010117583,4,577,577,female stereotypes
1379,7904,2021,India,wife,154,12622,0.012200919,4,577,577,female stereotypes
1380,7944,2010,India,victim,7,1584,0.004419192,6,580,580,female stereotypes
1381,7945,2011,India,victim,8,2438,0.003281378,6,580,580,female stereotypes
1382,7946,2012,India,victim,10,3634,0.002751789,6,580,580,female stereotypes
1383,7947,2013,India,victim,29,4910,0.005906314,6,580,580,female stereotypes
1384,7948,2014,India,victim,33,7502,0.004398827,6,580,580,female stereotypes
1385,7949,2015,India,victim,45,10532,0.004272693,6,580,580,female stereotypes
1386,7950,2016,India,victim,47,14012,0.003354268,6,580,580,female stereotypes
1387,7951,2017,India,victim,74,17097,0.004328245,6,580,580,female stereotypes
1388,7952,2018,India,victim,106,19170,0.005529473000000001,6,580,580,female stereotypes
1389,7953,2019,India,victim,71,20849,0.003405439,6,580,580,female stereotypes
1390,7954,2020,India,victim,108,21942,0.0049220670000000005,6,580,580,female stereotypes
1391,7955,2021,India,victim,49,12622,0.003882111,6,580,580,female stereotypes
1392,7961,2010,India,harass,5,1584,0.003156566,6,581,581,crime and violence
1393,7962,2011,India,harass,2,2438,0.000820345,6,581,581,crime and violence
1394,7963,2012,India,harass,8,3634,0.002201431,6,581,581,crime and violence
1395,7964,2013,India,harass,4,4910,0.000814664,6,581,581,crime and violence
1396,7965,2014,India,harass,21,7502,0.002799254,6,581,581,crime and violence
1397,7966,2015,India,harass,35,10532,0.003323205,6,581,581,crime and violence
1398,7967,2016,India,harass,46,14012,0.0032829,6,581,581,crime and violence
1399,7968,2017,India,harass,76,17097,0.004445224,6,581,581,crime and violence
1400,7969,2018,India,harass,106,19170,0.005529473000000001,6,581,581,crime and violence
1401,7970,2019,India,harass,91,20849,0.004364718,6,581,581,crime and violence
1402,7971,2020,India,harass,80,21942,0.003645976,6,581,581,crime and violence
1403,7972,2021,India,harass,35,12622,0.002772936,6,581,581,crime and violence
1404,7995,2010,India,blood,3,1584,0.001893939,5,583,583,crime and violence
1405,7996,2011,India,blood,6,2438,0.002461034,5,583,583,crime and violence
1406,7997,2012,India,blood,7,3634,0.001926252,5,583,583,crime and violence
1407,7998,2013,India,blood,10,4910,0.00203666,5,583,583,crime and violence
1408,7999,2014,India,blood,12,7502,0.001599573,5,583,583,crime and violence
1409,8000,2015,India,blood,14,10532,0.0013292820000000002,5,583,583,crime and violence
1410,8001,2016,India,blood,18,14012,0.001284613,5,583,583,crime and violence
1411,8002,2017,India,blood,29,17097,0.001696204,5,583,583,crime and violence
1412,8003,2018,India,blood,44,19170,0.002295253,5,583,583,crime and violence
1413,8004,2019,India,blood,37,20849,0.001774665,5,583,583,crime and violence
1414,8005,2020,India,blood,25,21942,0.001139367,5,583,583,crime and violence
1415,8006,2021,India,blood,21,12622,0.001663762,5,583,583,crime and violence
1416,8097,2010,India,child,32,1584,0.02020202,5,591,591,female stereotypes
1417,8098,2011,India,child,42,2438,0.017227235,5,591,591,female stereotypes
1418,8099,2012,India,child,63,3634,0.017336268999999998,5,591,591,female stereotypes
1419,8100,2013,India,child,71,4910,0.014460285,5,591,591,female stereotypes
1420,8101,2014,India,child,132,7502,0.017595308,5,591,591,female stereotypes
1421,8102,2015,India,child,173,10532,0.01642613,5,591,591,female stereotypes
1422,8103,2016,India,child,237,14012,0.016914073999999998,5,591,591,female stereotypes
1423,8104,2017,India,child,270,17097,0.015792244,5,591,591,female stereotypes
1424,8105,2018,India,child,302,19170,0.015753782,5,591,591,female stereotypes
1425,8106,2019,India,child,350,20849,0.016787376,5,591,591,female stereotypes
1426,8107,2020,India,child,387,21942,0.017637408,5,591,591,female stereotypes
1427,8108,2021,India,child,217,12622,0.017192204,5,591,591,female stereotypes
1452,8250,2010,India,force,13,1584,0.008207071,5,600,599,crime and violence
1453,8251,2011,India,force,17,2438,0.006972929,5,600,599,crime and violence
1454,8252,2012,India,force,26,3634,0.007154651,5,600,599,crime and violence
1455,8253,2013,India,force,37,4910,0.007535641999999999,5,600,599,crime and violence
1456,8254,2014,India,force,55,7502,0.007331378,5,600,599,crime and violence
1457,8255,2015,India,force,90,10532,0.008545385,5,600,599,crime and violence
1458,8256,2016,India,force,129,14012,0.009206395,5,600,599,crime and violence
1459,8257,2017,India,force,160,17097,0.009358367,5,600,599,crime and violence
1460,8258,2018,India,force,168,19170,0.008763693000000001,5,600,599,crime and violence
1461,8259,2019,India,force,161,20849,0.007722193,5,600,599,crime and violence
1462,8260,2020,India,force,194,21942,0.008841491,5,600,599,crime and violence
1463,8261,2021,India,force,84,12622,0.006655047,5,600,599,crime and violence
1476,8437,2010,India,affair,6,1584,0.003787879,6,611,611,female stereotypes
1477,8438,2011,India,affair,5,2438,0.002050861,6,611,611,female stereotypes
1478,8439,2012,India,affair,11,3634,0.003026968,6,611,611,female stereotypes
1479,8440,2013,India,affair,12,4910,0.0024439920000000003,6,611,611,female stereotypes
1480,8441,2014,India,affair,9,7502,0.00119968,6,611,611,female stereotypes
1481,8442,2015,India,affair,15,10532,0.001424231,6,611,611,female stereotypes
1482,8443,2016,India,affair,25,14012,0.001784185,6,611,611,female stereotypes
1483,8444,2017,India,affair,29,17097,0.001696204,6,611,611,female stereotypes
1484,8445,2018,India,affair,36,19170,0.001877934,6,611,611,female stereotypes
1485,8446,2019,India,affair,37,20849,0.001774665,6,611,611,female stereotypes
1486,8447,2020,India,affair,32,21942,0.00145839,6,611,611,female stereotypes
1487,8448,2021,India,affair,37,12622,0.00293139,6,611,611,female stereotypes
1500,8624,2010,India,mayor,3,1584,0.001893939,5,622,622,empowerment
1501,8625,2011,India,mayor,3,2438,0.001230517,5,622,622,empowerment
1502,8626,2012,India,mayor,12,3634,0.003302146,5,622,622,empowerment
1503,8627,2013,India,mayor,8,4910,0.001629328,5,622,622,empowerment
1504,8628,2014,India,mayor,11,7502,0.001466276,5,622,622,empowerment
1505,8629,2015,India,mayor,15,10532,0.001424231,5,622,622,empowerment
1506,8630,2016,India,mayor,13,14012,0.000927776,5,622,622,empowerment
1507,8631,2017,India,mayor,20,17097,0.001169796,5,622,622,empowerment
1508,8632,2018,India,mayor,9,19170,0.000469484,5,622,622,empowerment
1509,8633,2019,India,mayor,14,20849,0.000671495,5,622,622,empowerment
1510,8634,2020,India,mayor,21,21942,0.000957069,5,622,622,empowerment
1511,8635,2021,India,mayor,18,12622,0.001426081,5,622,622,empowerment
1560,9049,2010,India,divorce,8,1584,0.005050505,7,651,651,female stereotypes
1561,9050,2011,India,divorce,5,2438,0.002050861,7,651,651,female stereotypes
1562,9051,2012,India,divorce,27,3634,0.0074298290000000015,7,651,651,female stereotypes
1563,9052,2013,India,divorce,22,4910,0.004480652,7,651,651,female stereotypes
1564,9053,2014,India,divorce,29,7502,0.003865636,7,651,651,female stereotypes
1565,9054,2015,India,divorce,27,10532,0.002563616,7,651,651,female stereotypes
1566,9055,2016,India,divorce,51,14012,0.003639737,7,651,651,female stereotypes
1567,9056,2017,India,divorce,32,17097,0.001871673,7,651,651,female stereotypes
1568,9057,2018,India,divorce,35,19170,0.001825769,7,651,651,female stereotypes
1569,9058,2019,India,divorce,69,20849,0.003309511,7,651,651,female stereotypes
1570,9059,2020,India,divorce,66,21942,0.00300793,7,651,651,female stereotypes
1571,9060,2021,India,divorce,44,12622,0.003485977,7,651,651,female stereotypes
1572,9100,2010,India,beauty,4,1584,0.002525253,6,654,654,female stereotypes
1573,9101,2011,India,beauty,2,2438,0.000820345,6,654,654,female stereotypes
1574,9102,2012,India,beauty,11,3634,0.003026968,6,654,654,female stereotypes
1575,9103,2013,India,beauty,13,4910,0.002647658,6,654,654,female stereotypes
1576,9104,2014,India,beauty,24,7502,0.0031991470000000003,6,654,654,female stereotypes
1577,9105,2015,India,beauty,48,10532,0.004557539,6,654,654,female stereotypes
1578,9106,2016,India,beauty,45,14012,0.003211533,6,654,654,female stereotypes
1579,9107,2017,India,beauty,75,17097,0.004386735,6,654,654,female stereotypes
1580,9108,2018,India,beauty,54,19170,0.002816901,6,654,654,female stereotypes
1581,9109,2019,India,beauty,45,20849,0.002158377,6,654,654,female stereotypes
1582,9110,2020,India,beauty,50,21942,0.002278735,6,654,654,female stereotypes
1583,9111,2021,India,beauty,22,12622,0.0017429879999999998,6,654,654,female stereotypes
1584,9151,2010,India,grope,2,1584,0.001262626,5,659,659,crime and violence
1585,9152,2011,India,grope,3,2438,0.001230517,5,659,659,crime and violence
1586,9153,2012,India,grope,2,3634,0.000550358,5,659,659,crime and violence
1587,9154,2013,India,grope,1,4910,0.000203666,5,659,659,crime and violence
1588,9155,2014,India,grope,7,7502,0.000933085,5,659,659,crime and violence
1589,9156,2015,India,grope,4,10532,0.000379795,5,659,659,crime and violence
1590,9157,2016,India,grope,19,14012,0.001355981,5,659,659,crime and violence
1591,9158,2017,India,grope,41,17097,0.002398082,5,659,659,crime and violence
1592,9159,2018,India,grope,26,19170,0.001356286,5,659,659,crime and violence
1593,9160,2019,India,grope,20,20849,0.000959279,5,659,659,crime and violence
1594,9161,2020,India,grope,7,21942,0.000319023,5,659,659,crime and violence
1595,9162,2021,India,grope,11,12622,0.0008714939999999999,5,659,659,crime and violence
1596,9219,2010,India,doctor,14,1584,0.008838384,6,663,663,empowerment
1597,9220,2011,India,doctor,13,2438,0.00533224,6,663,663,empowerment
1598,9221,2012,India,doctor,19,3634,0.005228398,6,663,663,empowerment
1599,9222,2013,India,doctor,31,4910,0.006313646,6,663,663,empowerment
1600,9223,2014,India,doctor,51,7502,0.006798187,6,663,663,empowerment
1601,9224,2015,India,doctor,59,10532,0.005601975,6,663,663,empowerment
1602,9225,2016,India,doctor,81,14012,0.005780759,6,663,663,empowerment
1603,9226,2017,India,doctor,129,17097,0.007545183,6,663,663,empowerment
1604,9227,2018,India,doctor,112,19170,0.005842462,6,663,663,empowerment
1605,9228,2019,India,doctor,144,20849,0.006906806,6,663,663,empowerment
1606,9229,2020,India,doctor,159,21942,0.007246376999999998,6,663,663,empowerment
1607,9230,2021,India,doctor,75,12622,0.005942006,6,663,663,empowerment
1608,9270,2010,India,artist,4,1584,0.002525253,6,666,666,empowerment
1609,9271,2011,India,artist,6,2438,0.002461034,6,666,666,empowerment
1610,9272,2012,India,artist,7,3634,0.001926252,6,666,666,empowerment
1611,9273,2013,India,artist,9,4910,0.001832994,6,666,666,empowerment
1612,9274,2014,India,artist,28,7502,0.003732338,6,666,666,empowerment
1613,9275,2015,India,artist,35,10532,0.003323205,6,666,666,empowerment
1614,9276,2016,India,artist,55,14012,0.003925207,6,666,666,empowerment
1615,9277,2017,India,artist,42,17097,0.002456571,6,666,666,empowerment
1616,9278,2018,India,artist,54,19170,0.002816901,6,666,666,empowerment
1617,9279,2019,India,artist,60,20849,0.002877836,6,666,666,empowerment
1618,9280,2020,India,artist,67,21942,0.003053505,6,666,666,empowerment
1619,9281,2021,India,artist,21,12622,0.001663762,6,666,666,empowerment
1620,9372,2010,India,lawyer,6,1584,0.003787879,6,672,672,empowerment
1621,9373,2011,India,lawyer,12,2438,0.0049220670000000005,6,672,672,empowerment
1622,9374,2012,India,lawyer,7,3634,0.001926252,6,672,672,empowerment
1623,9375,2013,India,lawyer,19,4910,0.003869654,6,672,672,empowerment
1624,9376,2014,India,lawyer,6,7502,0.0007997869999999999,6,672,672,empowerment
1625,9377,2015,India,lawyer,20,10532,0.001898975,6,672,672,empowerment
1626,9378,2016,India,lawyer,22,14012,0.001570083,6,672,672,empowerment
1627,9379,2017,India,lawyer,31,17097,0.001813184,6,672,672,empowerment
1628,9380,2018,India,lawyer,49,19170,0.002556077,6,672,672,empowerment
1629,9381,2019,India,lawyer,56,20849,0.00268598,6,672,672,empowerment
1630,9382,2020,India,lawyer,64,21942,0.002916781,6,672,672,empowerment
1631,9383,2021,India,lawyer,30,12622,0.002376802,6,672,672,empowerment
1632,9389,2010,India,survive,5,1584,0.003156566,7,673,673,empowerment
1633,9390,2011,India,survive,6,2438,0.002461034,7,673,673,empowerment
1634,9391,2012,India,survive,6,3634,0.001651073,7,673,673,empowerment
1635,9392,2013,India,survive,13,4910,0.002647658,7,673,673,empowerment
1636,9393,2014,India,survive,14,7502,0.001866169,7,673,673,empowerment
1637,9394,2015,India,survive,19,10532,0.001804026,7,673,673,empowerment
1638,9395,2016,India,survive,12,14012,0.0008564089999999999,7,673,673,empowerment
1639,9396,2017,India,survive,46,17097,0.002690531,7,673,673,empowerment
1640,9397,2018,India,survive,41,19170,0.002138758,7,673,673,empowerment
1641,9398,2019,India,survive,38,20849,0.001822629,7,673,673,empowerment
1642,9399,2020,India,survive,52,21942,0.002369884,7,673,673,empowerment
1643,9400,2021,India,survive,25,12622,0.001980669,7,673,673,empowerment
1680,9610,2010,India,boss,10,1584,0.006313131,4,690,690,empowerment
1681,9611,2011,India,boss,12,2438,0.0049220670000000005,4,690,690,empowerment
1682,9612,2012,India,boss,11,3634,0.003026968,4,690,690,empowerment
1683,9613,2013,India,boss,19,4910,0.003869654,4,690,690,empowerment
1684,9614,2014,India,boss,39,7502,0.005198614,4,690,690,empowerment
1685,9615,2015,India,boss,55,10532,0.00522218,4,690,690,empowerment
1686,9616,2016,India,boss,39,14012,0.002783329,4,690,690,empowerment
1687,9617,2017,India,boss,90,17097,0.005264081,4,690,690,empowerment
1688,9618,2018,India,boss,73,19170,0.003808033,4,690,690,empowerment
1689,9619,2019,India,boss,83,20849,0.003981006,4,690,690,empowerment
1690,9620,2020,India,boss,103,21942,0.0046941940000000005,4,690,690,empowerment
1691,9621,2021,India,boss,48,12622,0.003802884,4,690,690,empowerment
1692,9627,2010,India,relationship,9,1584,0.005681818000000001,12,691,691,female stereotypes
1693,9628,2011,India,relationship,8,2438,0.003281378,12,691,691,female stereotypes
1694,9629,2012,India,relationship,7,3634,0.001926252,12,691,691,female stereotypes
1695,9630,2013,India,relationship,9,4910,0.001832994,12,691,691,female stereotypes
1696,9631,2014,India,relationship,27,7502,0.00359904,12,691,691,female stereotypes
1697,9632,2015,India,relationship,25,10532,0.002373718,12,691,691,female stereotypes
1698,9633,2016,India,relationship,43,14012,0.003068798,12,691,691,female stereotypes
1699,9634,2017,India,relationship,68,17097,0.003977306,12,691,691,female stereotypes
1700,9635,2018,India,relationship,88,19170,0.004590505999999999,12,691,691,female stereotypes
1701,9636,2019,India,relationship,85,20849,0.004076934,12,691,691,female stereotypes
1702,9637,2020,India,relationship,89,21942,0.004056148,12,691,691,female stereotypes
1703,9638,2021,India,relationship,43,12622,0.00340675,12,691,691,female stereotypes
1704,9729,2010,India,success,5,1584,0.003156566,7,697,697,empowerment
1705,9730,2011,India,success,6,2438,0.002461034,7,697,697,empowerment
1706,9731,2012,India,success,9,3634,0.00247661,7,697,697,empowerment
1707,9732,2013,India,success,15,4910,0.00305499,7,697,697,empowerment
1708,9733,2014,India,success,27,7502,0.00359904,7,697,697,empowerment
1709,9734,2015,India,success,34,10532,0.003228257,7,697,697,empowerment
1710,9735,2016,India,success,39,14012,0.002783329,7,697,697,empowerment
1711,9736,2017,India,success,45,17097,0.002632041,7,697,697,empowerment
1712,9737,2018,India,success,46,19170,0.002399583,7,697,697,empowerment
1713,9738,2019,India,success,62,20849,0.0029737640000000003,7,697,697,empowerment
1714,9739,2020,India,success,35,21942,0.001595114,7,697,697,empowerment
1715,9740,2021,India,success,23,12622,0.001822215,7,697,697,empowerment
1728,9763,2010,India,love,30,3168,0.009469697,4,699,699,female stereotypes
1729,9764,2011,India,love,26,4876,0.00533224,4,699,699,female stereotypes
1730,9765,2012,India,love,47,7268,0.006466703000000001,4,699,699,female stereotypes
1731,9766,2013,India,love,49,9820,0.004989817,4,699,699,female stereotypes
1732,9767,2014,India,love,83,15004,0.005531858000000001,4,699,699,female stereotypes
1733,9768,2015,India,love,136,21064,0.0064565130000000005,4,699,699,female stereotypes
1734,9769,2016,India,love,177,28024,0.006316015,4,699,699,female stereotypes
1735,9770,2017,India,love,246,34194,0.007194245,4,699,699,female stereotypes
1736,9771,2018,India,love,258,38340,0.006729264,4,699,699,female stereotypes
1737,9772,2019,India,love,254,41698,0.006091419,4,699,699,female stereotypes
1738,9773,2020,India,love,338,43884,0.007702124,4,699,699,female stereotypes
1739,9774,2021,India,love,135,25244,0.005347805,4,699,699,female stereotypes
1740,9797,2010,India,weight,4,1584,0.002525253,6,701,701,female stereotypes
1741,9798,2011,India,weight,5,2438,0.002050861,6,701,701,female stereotypes
1742,9799,2012,India,weight,10,3634,0.002751789,6,701,701,female stereotypes
1743,9800,2013,India,weight,9,4910,0.001832994,6,701,701,female stereotypes
1744,9801,2014,India,weight,15,7502,0.001999467,6,701,701,female stereotypes
1745,9802,2015,India,weight,23,10532,0.002183821,6,701,701,female stereotypes
1746,9803,2016,India,weight,29,14012,0.002069655,6,701,701,female stereotypes
1747,9804,2017,India,weight,47,17097,0.00274902,6,701,701,female stereotypes
1748,9805,2018,India,weight,44,19170,0.002295253,6,701,701,female stereotypes
1749,9806,2019,India,weight,75,20849,0.003597295,6,701,701,female stereotypes
1750,9807,2020,India,weight,59,21942,0.002688907,6,701,701,female stereotypes
1751,9808,2021,India,weight,18,12622,0.001426081,6,701,701,female stereotypes
1764,9967,2010,India,suicide,14,1584,0.008838384,7,713,713,crime and violence
1765,9968,2011,India,suicide,19,2438,0.007793273000000002,7,713,713,crime and violence
1766,9969,2012,India,suicide,20,3634,0.005503577,7,713,713,crime and violence
1767,9970,2013,India,suicide,39,4910,0.007942974,7,713,713,crime and violence
1768,9971,2014,India,suicide,41,7502,0.005465209,7,713,713,crime and violence
1769,9972,2015,India,suicide,67,10532,0.006361565,7,713,713,crime and violence
1770,9973,2016,India,suicide,127,14012,0.00906366,7,713,713,crime and violence
1771,9974,2017,India,suicide,101,17097,0.005907469,7,713,713,crime and violence
1772,9975,2018,India,suicide,174,19170,0.009076682,7,713,713,crime and violence
1773,9976,2019,India,suicide,128,20849,0.006139383000000001,7,713,713,crime and violence
1774,9977,2020,India,suicide,138,21942,0.006289308,7,713,713,crime and violence
1775,9978,2021,India,suicide,60,12622,0.004753605,7,713,713,crime and violence
1788,10086,2010,India,fear,8,1584,0.005050505,4,721,721,female stereotypes
1789,10087,2011,India,fear,6,2438,0.002461034,4,721,721,female stereotypes
1790,10088,2012,India,fear,5,3634,0.001375894,4,721,721,female stereotypes
1791,10089,2013,India,fear,11,4910,0.002240326,4,721,721,female stereotypes
1792,10090,2014,India,fear,16,7502,0.002132765,4,721,721,female stereotypes
1793,10091,2015,India,fear,32,10532,0.003038359,4,721,721,female stereotypes
1794,10092,2016,India,fear,33,14012,0.002355124,4,721,721,female stereotypes
1795,10093,2017,India,fear,49,17097,0.002866,4,721,721,female stereotypes
1796,10094,2018,India,fear,56,19170,0.002921231,4,721,721,female stereotypes
1797,10095,2019,India,fear,56,20849,0.00268598,4,721,721,female stereotypes
1798,10096,2020,India,fear,71,21942,0.003235803,4,721,721,female stereotypes
1799,10097,2021,India,fear,33,12622,0.002614483,4,721,721,female stereotypes
1800,10103,2010,India,muslim,18,1584,0.011363636000000002,6,722,722,"race, ethnicity and identity"
1801,10104,2011,India,muslim,13,2438,0.00533224,6,722,722,"race, ethnicity and identity"
1802,10105,2012,India,muslim,20,3634,0.005503577,6,722,722,"race, ethnicity and identity"
1803,10106,2013,India,muslim,22,4910,0.004480652,6,722,722,"race, ethnicity and identity"
1804,10107,2014,India,muslim,47,7502,0.006264996,6,722,722,"race, ethnicity and identity"
1805,10108,2015,India,muslim,90,10532,0.008545385,6,722,722,"race, ethnicity and identity"
1806,10109,2016,India,muslim,239,14012,0.017056808,6,722,722,"race, ethnicity and identity"
1807,10110,2017,India,muslim,282,17097,0.016494122,6,722,722,"race, ethnicity and identity"
1808,10111,2018,India,muslim,203,19170,0.010589463,6,722,722,"race, ethnicity and identity"
1809,10112,2019,India,muslim,210,20849,0.010072426,6,722,722,"race, ethnicity and identity"
1810,10113,2020,India,muslim,179,21942,0.008157871,6,722,722,"race, ethnicity and identity"
1811,10114,2021,India,muslim,74,12622,0.005862779,6,722,722,"race, ethnicity and identity"
1812,10188,2010,India,abortion,3,1584,0.001893939,8,727,727,empowerment
1813,10189,2011,India,abortion,4,2438,0.001640689,8,727,727,empowerment
1814,10190,2012,India,abortion,8,3634,0.002201431,8,727,727,empowerment
1815,10191,2013,India,abortion,4,4910,0.000814664,8,727,727,empowerment
1816,10192,2014,India,abortion,14,7502,0.001866169,8,727,727,empowerment
1817,10193,2015,India,abortion,12,10532,0.001139385,8,727,727,empowerment
1818,10194,2016,India,abortion,45,14012,0.003211533,8,727,727,empowerment
1819,10195,2017,India,abortion,47,17097,0.00274902,8,727,727,empowerment
1820,10196,2018,India,abortion,41,19170,0.002138758,8,727,727,empowerment
1821,10197,2019,India,abortion,52,20849,0.002494124,8,727,727,empowerment
1822,10198,2020,India,abortion,42,21942,0.001914137,8,727,727,empowerment
1823,10199,2021,India,abortion,12,12622,0.000950721,8,727,727,empowerment
1824,10409,2010,India,guilty,5,1584,0.003156566,6,741,741,crime and violence
1825,10410,2011,India,guilty,3,2438,0.001230517,6,741,741,crime and violence
1826,10411,2012,India,guilty,14,3634,0.003852504,6,741,741,crime and violence
1827,10412,2013,India,guilty,16,4910,0.003258656,6,741,741,crime and violence
1828,10413,2014,India,guilty,13,7502,0.001732871,6,741,741,crime and violence
1829,10414,2015,India,guilty,9,10532,0.000854539,6,741,741,crime and violence
1830,10415,2016,India,guilty,20,14012,0.001427348,6,741,741,crime and violence
1831,10416,2017,India,guilty,19,17097,0.001111306,6,741,741,crime and violence
1832,10417,2018,India,guilty,12,19170,0.000625978,6,741,741,crime and violence
1833,10418,2019,India,guilty,30,20849,0.001438918,6,741,741,crime and violence
1834,10419,2020,India,guilty,31,21942,0.001412816,6,741,741,crime and violence
1835,10420,2021,India,guilty,18,12622,0.001426081,6,741,741,crime and violence
1836,10426,2010,India,molest,5,1584,0.003156566,6,742,742,crime and violence
1837,10427,2011,India,molest,1,2438,0.000410172,6,742,742,crime and violence
1838,10428,2012,India,molest,8,3634,0.002201431,6,742,742,crime and violence
1839,10429,2013,India,molest,12,4910,0.0024439920000000003,6,742,742,crime and violence
1840,10430,2014,India,molest,20,7502,0.002665956,6,742,742,crime and violence
1841,10431,2015,India,molest,23,10532,0.002183821,6,742,742,crime and violence
1842,10432,2016,India,molest,39,14012,0.002783329,6,742,742,crime and violence
1843,10433,2017,India,molest,71,17097,0.004152775,6,742,742,crime and violence
1844,10434,2018,India,molest,93,19170,0.00485133,6,742,742,crime and violence
1845,10435,2019,India,molest,56,20849,0.00268598,6,742,742,crime and violence
1846,10436,2020,India,molest,60,21942,0.0027344820000000003,6,742,742,crime and violence
1847,10437,2021,India,molest,18,12622,0.001426081,6,742,742,crime and violence
1848,10477,2010,India,owner,2,1584,0.001262626,5,746,746,empowerment
1849,10478,2011,India,owner,5,2438,0.002050861,5,746,746,empowerment
1850,10479,2012,India,owner,5,3634,0.001375894,5,746,746,empowerment
1851,10480,2013,India,owner,7,4910,0.001425662,5,746,746,empowerment
1852,10481,2014,India,owner,8,7502,0.001066382,5,746,746,empowerment
1853,10482,2015,India,owner,16,10532,0.00151918,5,746,746,empowerment
1854,10483,2016,India,owner,6,14012,0.000428204,5,746,746,empowerment
1855,10484,2017,India,owner,21,17097,0.001228286,5,746,746,empowerment
1856,10485,2018,India,owner,32,19170,0.001669275,5,746,746,empowerment
1857,10486,2019,India,owner,22,20849,0.0010552060000000002,5,746,746,empowerment
1858,10487,2020,India,owner,31,21942,0.001412816,5,746,746,empowerment
1859,10488,2021,India,owner,7,12622,0.0005545869999999999,5,746,746,empowerment
1860,10528,2010,India,cry,7,1584,0.004419192,3,749,749,female stereotypes
1861,10529,2011,India,cry,5,2438,0.002050861,3,749,749,female stereotypes
1862,10530,2012,India,cry,7,3634,0.001926252,3,749,749,female stereotypes
1863,10531,2013,India,cry,11,4910,0.002240326,3,749,749,female stereotypes
1864,10532,2014,India,cry,17,7502,0.002266062,3,749,749,female stereotypes
1865,10533,2015,India,cry,35,10532,0.003323205,3,749,749,female stereotypes
1866,10534,2016,India,cry,35,14012,0.002497859,3,749,749,female stereotypes
1867,10535,2017,India,cry,38,17097,0.002222612,3,749,749,female stereotypes
1868,10536,2018,India,cry,54,19170,0.002816901,3,749,749,female stereotypes
1869,10537,2019,India,cry,59,20849,0.002829872,3,749,749,female stereotypes
1870,10538,2020,India,cry,36,21942,0.001640689,3,749,749,female stereotypes
1871,10539,2021,India,cry,24,12622,0.001901442,3,749,749,female stereotypes
1872,10596,2010,India,chinese,7,1584,0.004419192,7,753,754,"race, ethnicity and identity"
1873,10597,2011,India,chinese,4,2438,0.001640689,7,753,754,"race, ethnicity and identity"
1874,10598,2012,India,chinese,16,3634,0.004402862,7,753,754,"race, ethnicity and identity"
1875,10599,2013,India,chinese,24,4910,0.004887984000000001,7,753,754,"race, ethnicity and identity"
1876,10600,2014,India,chinese,32,7502,0.0042655290000000005,7,753,754,"race, ethnicity and identity"
1877,10601,2015,India,chinese,31,10532,0.002943411,7,753,754,"race, ethnicity and identity"
1878,10602,2016,India,chinese,38,14012,0.002711961,7,753,754,"race, ethnicity and identity"
1879,10603,2017,India,chinese,28,17097,0.001637714,7,753,754,"race, ethnicity and identity"
1880,10604,2018,India,chinese,54,19170,0.002816901,7,753,754,"race, ethnicity and identity"
1881,10605,2019,India,chinese,48,20849,0.002302269,7,753,754,"race, ethnicity and identity"
1882,10606,2020,India,chinese,75,21942,0.003418102,7,753,754,"race, ethnicity and identity"
1883,10607,2021,India,chinese,23,12622,0.001822215,7,753,754,"race, ethnicity and identity"
1896,10630,2010,India,beautiful,7,1584,0.004419192,9,755,755,female stereotypes
1897,10631,2011,India,beautiful,8,2438,0.003281378,9,755,755,female stereotypes
1898,10632,2012,India,beautiful,21,3634,0.005778756,9,755,755,female stereotypes
1899,10633,2013,India,beautiful,12,4910,0.0024439920000000003,9,755,755,female stereotypes
1900,10634,2014,India,beautiful,19,7502,0.002532658,9,755,755,female stereotypes
1901,10635,2015,India,beautiful,33,10532,0.003133308,9,755,755,female stereotypes
1902,10636,2016,India,beautiful,49,14012,0.003497003,9,755,755,female stereotypes
1903,10637,2017,India,beautiful,52,17097,0.003041469,9,755,755,female stereotypes
1904,10638,2018,India,beautiful,53,19170,0.002764737,9,755,755,female stereotypes
1905,10639,2019,India,beautiful,43,20849,0.002062449,9,755,755,female stereotypes
1906,10640,2020,India,beautiful,39,21942,0.0017774129999999996,9,755,755,female stereotypes
1907,10641,2021,India,beautiful,22,12622,0.0017429879999999998,9,755,755,female stereotypes
1908,10664,2010,India,career,12,1584,0.007575758,6,757,757,empowerment
1909,10665,2011,India,career,14,2438,0.005742412,6,757,757,empowerment
1910,10666,2012,India,career,31,3634,0.008530545,6,757,757,empowerment
1911,10667,2013,India,career,31,4910,0.006313646,6,757,757,empowerment
1912,10668,2014,India,career,27,7502,0.00359904,6,757,757,empowerment
1913,10669,2015,India,career,55,10532,0.00522218,6,757,757,empowerment
1914,10670,2016,India,career,67,14012,0.004781616,6,757,757,empowerment
1915,10671,2017,India,career,76,17097,0.004445224,6,757,757,empowerment
1916,10672,2018,India,career,76,19170,0.003964528,6,757,757,empowerment
1917,10673,2019,India,career,98,20849,0.004700465,6,757,757,empowerment
1918,10674,2020,India,career,102,21942,0.0046486190000000005,6,757,757,empowerment
1919,10675,2021,India,career,37,12622,0.00293139,6,757,757,empowerment
1944,10749,2010,India,brutal,2,1584,0.001262626,6,764,764,crime and violence
1945,10750,2011,India,brutal,2,2438,0.000820345,6,764,764,crime and violence
1946,10751,2012,India,brutal,4,3634,0.001100715,6,764,764,crime and violence
1947,10752,2013,India,brutal,3,4910,0.0006109980000000001,6,764,764,crime and violence
1948,10753,2014,India,brutal,4,7502,0.000533191,6,764,764,crime and violence
1949,10754,2015,India,brutal,7,10532,0.0006646410000000001,6,764,764,crime and violence
1950,10755,2016,India,brutal,11,14012,0.0007850410000000001,6,764,764,crime and violence
1951,10756,2017,India,brutal,9,17097,0.000526408,6,764,764,crime and violence
1952,10757,2018,India,brutal,11,19170,0.0005738130000000001,6,764,764,crime and violence
1953,10758,2019,India,brutal,10,20849,0.000479639,6,764,764,crime and violence
1954,10759,2020,India,brutal,14,21942,0.000638046,6,764,764,crime and violence
1955,10760,2021,India,brutal,6,12622,0.00047536,6,764,764,crime and violence
1968,11021,2010,India,single,13,1584,0.008207071,6,780,780,female stereotypes
1969,11022,2011,India,single,24,2438,0.009844135,6,780,780,female stereotypes
1970,11023,2012,India,single,19,3634,0.005228398,6,780,780,female stereotypes
1971,11024,2013,India,single,16,4910,0.003258656,6,780,780,female stereotypes
1972,11025,2014,India,single,22,7502,0.002932551,6,780,780,female stereotypes
1973,11026,2015,India,single,35,10532,0.003323205,6,780,780,female stereotypes
1974,11027,2016,India,single,71,14012,0.005067085,6,780,780,female stereotypes
1975,11028,2017,India,single,91,17097,0.005322571,6,780,780,female stereotypes
1976,11029,2018,India,single,75,19170,0.003912363,6,780,780,female stereotypes
1977,11030,2019,India,single,97,20849,0.004652501,6,780,780,female stereotypes
1978,11031,2020,India,single,89,21942,0.004056148,6,780,780,female stereotypes
1979,11032,2021,India,single,37,12622,0.00293139,6,780,780,female stereotypes
1980,11038,2010,India,author,4,1584,0.002525253,6,781,781,empowerment
1981,11039,2011,India,author,1,2438,0.000410172,6,781,781,empowerment
1982,11040,2012,India,author,5,3634,0.001375894,6,781,781,empowerment
1983,11041,2013,India,author,10,4910,0.00203666,6,781,781,empowerment
1984,11042,2014,India,author,9,7502,0.00119968,6,781,781,empowerment
1985,11043,2015,India,author,16,10532,0.00151918,6,781,781,empowerment
1986,11044,2016,India,author,29,14012,0.002069655,6,781,781,empowerment
1987,11045,2017,India,author,18,17097,0.001052816,6,781,781,empowerment
1988,11046,2018,India,author,26,19170,0.001356286,6,781,781,empowerment
1989,11047,2019,India,author,38,20849,0.001822629,6,781,781,empowerment
1990,11048,2020,India,author,31,21942,0.001412816,6,781,781,empowerment
1991,11049,2021,India,author,11,12622,0.0008714939999999999,6,781,781,empowerment
1992,11140,2010,India,kiss,6,1584,0.003787879,4,787,787,female stereotypes
1993,11141,2011,India,kiss,5,2438,0.002050861,4,787,787,female stereotypes
1994,11142,2012,India,kiss,10,3634,0.002751789,4,787,787,female stereotypes
1995,11143,2013,India,kiss,11,4910,0.002240326,4,787,787,female stereotypes
1996,11144,2014,India,kiss,14,7502,0.001866169,4,787,787,female stereotypes
1997,11145,2015,India,kiss,12,10532,0.001139385,4,787,787,female stereotypes
1998,11146,2016,India,kiss,39,14012,0.002783329,4,787,787,female stereotypes
1999,11147,2017,India,kiss,25,17097,0.001462245,4,787,787,female stereotypes
2000,11148,2018,India,kiss,52,19170,0.002712572,4,787,787,female stereotypes
2001,11149,2019,India,kiss,45,20849,0.002158377,4,787,787,female stereotypes
2002,11150,2020,India,kiss,22,21942,0.001002643,4,787,787,female stereotypes
2003,11151,2021,India,kiss,16,12622,0.001267628,4,787,787,female stereotypes
2016,11208,2010,India,dress,19,1584,0.011994949,5,791,791,female stereotypes
2017,11209,2011,India,dress,19,2438,0.007793273000000002,5,791,791,female stereotypes
2018,11210,2012,India,dress,29,3634,0.007980187,5,791,791,female stereotypes
2019,11211,2013,India,dress,20,4910,0.00407332,5,791,791,female stereotypes
2020,11212,2014,India,dress,39,7502,0.005198614,5,791,791,female stereotypes
2021,11213,2015,India,dress,55,10532,0.00522218,5,791,791,female stereotypes
2022,11214,2016,India,dress,83,14012,0.0059234940000000005,5,791,791,female stereotypes
2023,11215,2017,India,dress,109,17097,0.006375387,5,791,791,female stereotypes
2024,11216,2018,India,dress,81,19170,0.004225352,5,791,791,female stereotypes
2025,11217,2019,India,dress,103,20849,0.004940285,5,791,791,female stereotypes
2026,11218,2020,India,dress,72,21942,0.003281378,5,791,791,female stereotypes
2027,11219,2021,India,dress,49,12622,0.003882111,5,791,791,female stereotypes
2028,11293,2010,India,gay,3,1584,0.001893939,3,799,799,"race, ethnicity and identity"
2029,11294,2011,India,gay,12,2438,0.0049220670000000005,3,799,799,"race, ethnicity and identity"
2030,11295,2012,India,gay,9,3634,0.00247661,3,799,799,"race, ethnicity and identity"
2031,11296,2013,India,gay,14,4910,0.002851324,3,799,799,"race, ethnicity and identity"
2032,11297,2014,India,gay,15,7502,0.001999467,3,799,799,"race, ethnicity and identity"
2033,11298,2015,India,gay,20,10532,0.001898975,3,799,799,"race, ethnicity and identity"
2034,11299,2016,India,gay,3,14012,0.000214102,3,799,799,"race, ethnicity and identity"
2035,11300,2017,India,gay,25,17097,0.001462245,3,799,799,"race, ethnicity and identity"
2036,11301,2018,India,gay,6,19170,0.000312989,3,799,799,"race, ethnicity and identity"
2037,11302,2019,India,gay,16,20849,0.000767423,3,799,799,"race, ethnicity and identity"
2038,11303,2020,India,gay,12,21942,0.000546896,3,799,799,"race, ethnicity and identity"
2039,11304,2021,India,gay,7,12622,0.0005545869999999999,3,799,799,"race, ethnicity and identity"
2040,11412,2010,India,princess,4,1584,0.002525253,8,806,806,female stereotypes
2041,11413,2011,India,princess,3,2438,0.001230517,8,806,806,female stereotypes
2042,11414,2012,India,princess,2,3634,0.000550358,8,806,806,female stereotypes
2043,11415,2013,India,princess,5,4910,0.00101833,8,806,806,female stereotypes
2044,11416,2014,India,princess,8,7502,0.001066382,8,806,806,female stereotypes
2045,11417,2015,India,princess,13,10532,0.001234333,8,806,806,female stereotypes
2046,11418,2016,India,princess,14,14012,0.000999144,8,806,806,female stereotypes
2047,11419,2017,India,princess,38,17097,0.002222612,8,806,806,female stereotypes
2048,11420,2018,India,princess,26,19170,0.001356286,8,806,806,female stereotypes
2049,11421,2019,India,princess,24,20849,0.0011511339999999998,8,806,806,female stereotypes
2050,11422,2020,India,princess,39,21942,0.0017774129999999996,8,806,806,female stereotypes
2051,11423,2021,India,princess,9,12622,0.0007130410000000001,8,806,806,female stereotypes
2052,11497,2010,India,killer,6,1584,0.003787879,6,811,811,crime and violence
2053,11498,2011,India,killer,7,2438,0.002871206,6,811,811,crime and violence
2054,11499,2012,India,killer,7,3634,0.001926252,6,811,811,crime and violence
2055,11500,2013,India,killer,10,4910,0.00203666,6,811,811,crime and violence
2056,11501,2014,India,killer,23,7502,0.0030658490000000003,6,811,811,crime and violence
2057,11502,2015,India,killer,23,10532,0.002183821,6,811,811,crime and violence
2058,11503,2016,India,killer,22,14012,0.001570083,6,811,811,crime and violence
2059,11504,2017,India,killer,32,17097,0.001871673,6,811,811,crime and violence
2060,11505,2018,India,killer,48,19170,0.002503912,6,811,811,crime and violence
2061,11506,2019,India,killer,38,20849,0.001822629,6,811,811,crime and violence
2062,11507,2020,India,killer,25,21942,0.001139367,6,811,811,crime and violence
2063,11508,2021,India,killer,13,12622,0.001029948,6,811,811,crime and violence
2064,11531,2010,India,sex,35,1584,0.02209596,3,813,813,female stereotypes
2065,11532,2011,India,sex,38,2438,0.015586546,3,813,813,female stereotypes
2066,11533,2012,India,sex,56,3634,0.015410017,3,813,813,female stereotypes
2067,11534,2013,India,sex,75,4910,0.015274949,3,813,813,female stereotypes
2068,11535,2014,India,sex,96,7502,0.012796588,3,813,813,female stereotypes
2069,11536,2015,India,sex,146,10532,0.013862514,3,813,813,female stereotypes
2070,11537,2016,India,sex,131,14012,0.009349129,3,813,813,female stereotypes
2071,11538,2017,India,sex,172,17097,0.010060244,3,813,813,female stereotypes
2072,11539,2018,India,sex,170,19170,0.008868023000000001,3,813,813,female stereotypes
2073,11540,2019,India,sex,153,20849,0.007338481,3,813,813,female stereotypes
2074,11541,2020,India,sex,112,21942,0.005104366,3,813,813,female stereotypes
2075,11542,2021,India,sex,70,12622,0.005545872,3,813,813,female stereotypes
2088,11633,2010,India,church,4,1584,0.002525253,6,819,819,"race, ethnicity and identity"
2089,11634,2011,India,church,4,2438,0.001640689,6,819,819,"race, ethnicity and identity"
2090,11635,2012,India,church,6,3634,0.001651073,6,819,819,"race, ethnicity and identity"
2091,11636,2013,India,church,7,4910,0.001425662,6,819,819,"race, ethnicity and identity"
2092,11637,2014,India,church,10,7502,0.001332978,6,819,819,"race, ethnicity and identity"
2093,11638,2015,India,church,15,10532,0.001424231,6,819,819,"race, ethnicity and identity"
2094,11639,2016,India,church,23,14012,0.00164145,6,819,819,"race, ethnicity and identity"
2095,11640,2017,India,church,21,17097,0.001228286,6,819,819,"race, ethnicity and identity"
2096,11641,2018,India,church,30,19170,0.001564945,6,819,819,"race, ethnicity and identity"
2097,11642,2019,India,church,36,20849,0.001726702,6,819,819,"race, ethnicity and identity"
2098,11643,2020,India,church,24,21942,0.001093793,6,819,819,"race, ethnicity and identity"
2099,11644,2021,India,church,8,12622,0.000633814,6,819,819,"race, ethnicity and identity"
2124,11735,2010,India,gossip,8,1584,0.005050505,6,826,826,female stereotypes
2125,11736,2011,India,gossip,8,2438,0.003281378,6,826,826,female stereotypes
2126,11737,2012,India,gossip,5,3634,0.001375894,6,826,826,female stereotypes
2127,11738,2013,India,gossip,2,4910,0.000407332,6,826,826,female stereotypes
2128,11739,2014,India,gossip,6,7502,0.0007997869999999999,6,826,826,female stereotypes
2129,11740,2015,India,gossip,7,10532,0.0006646410000000001,6,826,826,female stereotypes
2130,11741,2016,India,gossip,3,14012,0.000214102,6,826,826,female stereotypes
2131,11742,2017,India,gossip,21,17097,0.001228286,6,826,826,female stereotypes
2132,11743,2018,India,gossip,9,19170,0.000469484,6,826,826,female stereotypes
2133,11744,2019,India,gossip,17,20849,0.000815387,6,826,826,female stereotypes
2134,11745,2020,India,gossip,14,21942,0.000638046,6,826,826,female stereotypes
2135,11746,2021,India,gossip,15,12622,0.001188401,6,826,826,female stereotypes
2148,11871,2010,India,pretty,4,1584,0.002525253,6,834,834,female stereotypes
2149,11872,2011,India,pretty,9,2438,0.00369155,6,834,834,female stereotypes
2150,11873,2012,India,pretty,16,3634,0.004402862,6,834,834,female stereotypes
2151,11874,2013,India,pretty,4,4910,0.000814664,6,834,834,female stereotypes
2152,11875,2014,India,pretty,6,7502,0.0007997869999999999,6,834,834,female stereotypes
2153,11876,2015,India,pretty,15,10532,0.001424231,6,834,834,female stereotypes
2154,11877,2016,India,pretty,22,14012,0.001570083,6,834,834,female stereotypes
2155,11878,2017,India,pretty,9,17097,0.000526408,6,834,834,female stereotypes
2156,11879,2018,India,pretty,19,19170,0.000991132,6,834,834,female stereotypes
2157,11880,2019,India,pretty,25,20849,0.001199098,6,834,834,female stereotypes
2158,11881,2020,India,pretty,26,21942,0.001184942,6,834,834,female stereotypes
2159,11882,2021,India,pretty,6,12622,0.00047536,6,834,834,female stereotypes
2160,11956,2010,India,breast,8,1584,0.005050505,6,839,839,female stereotypes
2161,11957,2011,India,breast,9,2438,0.00369155,6,839,839,female stereotypes
2162,11958,2012,India,breast,10,3634,0.002751789,6,839,839,female stereotypes
2163,11959,2013,India,breast,19,4910,0.003869654,6,839,839,female stereotypes
2164,11960,2014,India,breast,15,7502,0.001999467,6,839,839,female stereotypes
2165,11961,2015,India,breast,33,10532,0.003133308,6,839,839,female stereotypes
2166,11962,2016,India,breast,36,14012,0.002569226,6,839,839,female stereotypes
2167,11963,2017,India,breast,35,17097,0.002047143,6,839,839,female stereotypes
2168,11964,2018,India,breast,42,19170,0.002190923,6,839,839,female stereotypes
2169,11965,2019,India,breast,43,20849,0.002062449,6,839,839,female stereotypes
2170,11966,2020,India,breast,32,21942,0.00145839,6,839,839,female stereotypes
2171,11967,2021,India,breast,11,12622,0.0008714939999999999,6,839,839,female stereotypes
2196,12449,2010,India,fat,10,1584,0.006313131,3,869,869,female stereotypes
2197,12450,2011,India,fat,16,2438,0.006562756,3,869,869,female stereotypes
2198,12451,2012,India,fat,8,3634,0.002201431,3,869,869,female stereotypes
2199,12452,2013,India,fat,12,4910,0.0024439920000000003,3,869,869,female stereotypes
2200,12453,2014,India,fat,22,7502,0.002932551,3,869,869,female stereotypes
2201,12454,2015,India,fat,18,10532,0.001709077,3,869,869,female stereotypes
2202,12455,2016,India,fat,27,14012,0.00192692,3,869,869,female stereotypes
2203,12456,2017,India,fat,29,17097,0.001696204,3,869,869,female stereotypes
2204,12457,2018,India,fat,15,19170,0.000782473,3,869,869,female stereotypes
2205,12458,2019,India,fat,31,20849,0.001486882,3,869,869,female stereotypes
2206,12459,2020,India,fat,13,21942,0.000592471,3,869,869,female stereotypes
2207,12460,2021,India,fat,5,12622,0.000396134,3,869,869,female stereotypes
2208,12466,2010,India,trafficking,4,1584,0.002525253,11,870,870,crime and violence
2209,12467,2011,India,trafficking,0,2438,0.0,11,870,870,crime and violence
2210,12468,2012,India,trafficking,1,3634,0.000275179,11,870,870,crime and violence
2211,12469,2013,India,trafficking,1,4910,0.000203666,11,870,870,crime and violence
2212,12470,2014,India,trafficking,3,7502,0.000399893,11,870,870,crime and violence
2213,12471,2015,India,trafficking,3,10532,0.000284846,11,870,870,crime and violence
2214,12472,2016,India,trafficking,14,14012,0.000999144,11,870,870,crime and violence
2215,12473,2017,India,trafficking,13,17097,0.000760367,11,870,870,crime and violence
2216,12474,2018,India,trafficking,15,19170,0.000782473,11,870,870,crime and violence
2217,12475,2019,India,trafficking,9,20849,0.000431675,11,870,870,crime and violence
2218,12476,2020,India,trafficking,18,21942,0.000820345,11,870,870,crime and violence
2219,12477,2021,India,trafficking,2,12622,0.000158453,11,870,870,crime and violence
2220,12534,2010,India,sexy,26,1584,0.016414141,4,876,876,female stereotypes
2221,12535,2011,India,sexy,16,2438,0.006562756,4,876,876,female stereotypes
2222,12536,2012,India,sexy,9,3634,0.00247661,4,876,876,female stereotypes
2223,12537,2013,India,sexy,9,4910,0.001832994,4,876,876,female stereotypes
2224,12538,2014,India,sexy,27,7502,0.00359904,4,876,876,female stereotypes
2225,12539,2015,India,sexy,40,10532,0.003797949,4,876,876,female stereotypes
2226,12540,2016,India,sexy,13,14012,0.000927776,4,876,876,female stereotypes
2227,12541,2017,India,sexy,15,17097,0.000877347,4,876,876,female stereotypes
2228,12542,2018,India,sexy,14,19170,0.000730308,4,876,876,female stereotypes
2229,12543,2019,India,sexy,20,20849,0.000959279,4,876,876,female stereotypes
2230,12544,2020,India,sexy,6,21942,0.000273448,4,876,876,female stereotypes
2231,12545,2021,India,sexy,5,12622,0.000396134,4,876,876,female stereotypes
2244,13484,2010,South Africa,murder,0,64,0.0,6,1,1,crime and violence
2245,13485,2011,South Africa,murder,4,239,0.016736402,6,1,1,crime and violence
2246,13486,2012,South Africa,murder,5,355,0.014084507,6,1,1,crime and violence
2247,13487,2013,South Africa,murder,8,402,0.019900498,6,1,1,crime and violence
2248,13488,2014,South Africa,murder,6,400,0.015,6,1,1,crime and violence
2249,13489,2015,South Africa,murder,12,580,0.020689655,6,1,1,crime and violence
2250,13490,2016,South Africa,murder,24,1010,0.023762376,6,1,1,crime and violence
2251,13491,2017,South Africa,murder,99,2320,0.042672414000000006,6,1,1,crime and violence
2252,13492,2018,South Africa,murder,113,3204,0.035268414,6,1,1,crime and violence
2253,13493,2019,South Africa,murder,157,3582,0.043830262,6,1,1,crime and violence
2254,13494,2020,South Africa,murder,278,3882,0.071612571,6,1,1,crime and violence
2255,13495,2021,South Africa,murder,132,2553,0.051703878,6,1,1,crime and violence
2268,13544,2010,South Africa,accuse,0,64,0.0,6,5,5,crime and violence
2269,13545,2011,South Africa,accuse,2,239,0.008368201,6,5,5,crime and violence
2270,13546,2012,South Africa,accuse,3,355,0.008450704,6,5,5,crime and violence
2271,13547,2013,South Africa,accuse,3,402,0.007462687,6,5,5,crime and violence
2272,13548,2014,South Africa,accuse,5,400,0.0125,6,5,5,crime and violence
2273,13549,2015,South Africa,accuse,10,580,0.017241378999999998,6,5,5,crime and violence
2274,13550,2016,South Africa,accuse,9,1010,0.008910890999999999,6,5,5,crime and violence
2275,13551,2017,South Africa,accuse,30,2320,0.012931034,6,5,5,crime and violence
2276,13552,2018,South Africa,accuse,62,3204,0.019350811,6,5,5,crime and violence
2277,13553,2019,South Africa,accuse,89,3582,0.024846454,6,5,5,crime and violence
2278,13554,2020,South Africa,accuse,129,3882,0.033230294,6,5,5,crime and violence
2279,13555,2021,South Africa,accuse,75,2553,0.029377203,6,5,5,crime and violence
2280,13559,2010,South Africa,allegedly,0,64,0.0,9,6,6,crime and violence
2281,13560,2011,South Africa,allegedly,0,239,0.0,9,6,6,crime and violence
2282,13561,2012,South Africa,allegedly,0,355,0.0,9,6,6,crime and violence
2283,13562,2013,South Africa,allegedly,1,402,0.002487562,9,6,6,crime and violence
2284,13563,2014,South Africa,allegedly,2,400,0.005,9,6,6,crime and violence
2285,13564,2015,South Africa,allegedly,7,580,0.012068966,9,6,6,crime and violence
2286,13565,2016,South Africa,allegedly,7,1010,0.006930693000000001,9,6,6,crime and violence
2287,13566,2017,South Africa,allegedly,32,2320,0.013793103,9,6,6,crime and violence
2288,13567,2018,South Africa,allegedly,40,3204,0.012484395,9,6,6,crime and violence
2289,13568,2019,South Africa,allegedly,80,3582,0.022333892,9,6,6,crime and violence
2290,13569,2020,South Africa,allegedly,138,3882,0.035548686,9,6,6,crime and violence
2291,13570,2021,South Africa,allegedly,69,2553,0.027027027,9,6,6,crime and violence
2292,13574,2010,South Africa,family,0,64,0.0,6,7,7,female stereotypes
2293,13575,2011,South Africa,family,0,239,0.0,6,7,7,female stereotypes
2294,13576,2012,South Africa,family,2,355,0.005633803000000001,6,7,7,female stereotypes
2295,13577,2013,South Africa,family,4,402,0.009950249,6,7,7,female stereotypes
2296,13578,2014,South Africa,family,2,400,0.005,6,7,7,female stereotypes
2297,13579,2015,South Africa,family,7,580,0.012068966,6,7,7,female stereotypes
2298,13580,2016,South Africa,family,20,1010,0.01980198,6,7,7,female stereotypes
2299,13581,2017,South Africa,family,37,2320,0.015948276,6,7,7,female stereotypes
2300,13582,2018,South Africa,family,78,3204,0.024344569,6,7,7,female stereotypes
2301,13583,2019,South Africa,family,81,3582,0.022613065,6,7,7,female stereotypes
2302,13584,2020,South Africa,family,113,3882,0.029108707,6,7,7,female stereotypes
2303,13585,2021,South Africa,family,65,2553,0.025460243,6,7,7,female stereotypes
2304,13589,2010,South Africa,police,0,64,0.0,6,8,8,crime and violence
2305,13590,2011,South Africa,police,4,239,0.016736402,6,8,8,crime and violence
2306,13591,2012,South Africa,police,0,355,0.0,6,8,8,crime and violence
2307,13592,2013,South Africa,police,4,402,0.009950249,6,8,8,crime and violence
2308,13593,2014,South Africa,police,6,400,0.015,6,8,8,crime and violence
2309,13594,2015,South Africa,police,8,580,0.013793103,6,8,8,crime and violence
2310,13595,2016,South Africa,police,9,1010,0.008910890999999999,6,8,8,crime and violence
2311,13596,2017,South Africa,police,46,2320,0.019827586,6,8,8,crime and violence
2312,13597,2018,South Africa,police,46,3204,0.014357054,6,8,8,crime and violence
2313,13598,2019,South Africa,police,69,3582,0.019262982,6,8,8,crime and violence
2314,13599,2020,South Africa,police,129,3882,0.033230294,6,8,8,crime and violence
2315,13600,2021,South Africa,police,56,2553,0.021934978,6,8,8,crime and violence
2316,13619,2010,South Africa,black,0,64,0.0,5,10,10,"race, ethnicity and identity"
2317,13620,2011,South Africa,black,1,239,0.0041841000000000005,5,10,10,"race, ethnicity and identity"
2318,13621,2012,South Africa,black,1,355,0.002816901,5,10,10,"race, ethnicity and identity"
2319,13622,2013,South Africa,black,9,402,0.02238806,5,10,10,"race, ethnicity and identity"
2320,13623,2014,South Africa,black,6,400,0.015,5,10,10,"race, ethnicity and identity"
2321,13624,2015,South Africa,black,14,580,0.024137931,5,10,10,"race, ethnicity and identity"
2322,13625,2016,South Africa,black,19,1010,0.018811881000000003,5,10,10,"race, ethnicity and identity"
2323,13626,2017,South Africa,black,44,2320,0.018965517,5,10,10,"race, ethnicity and identity"
2324,13627,2018,South Africa,black,59,3204,0.018414482,5,10,10,"race, ethnicity and identity"
2325,13628,2019,South Africa,black,72,3582,0.020100503,5,10,10,"race, ethnicity and identity"
2326,13629,2020,South Africa,black,75,3882,0.019319938,5,10,10,"race, ethnicity and identity"
2327,13630,2021,South Africa,black,47,2553,0.018409714,5,10,10,"race, ethnicity and identity"
2352,13769,2010,South Africa,pregnant,0,64,0.0,8,22,22,female stereotypes
2353,13770,2011,South Africa,pregnant,7,239,0.029288703,8,22,22,female stereotypes
2354,13771,2012,South Africa,pregnant,4,355,0.011267606,8,22,22,female stereotypes
2355,13772,2013,South Africa,pregnant,4,402,0.009950249,8,22,22,female stereotypes
2356,13773,2014,South Africa,pregnant,5,400,0.0125,8,22,22,female stereotypes
2357,13774,2015,South Africa,pregnant,9,580,0.015517241,8,22,22,female stereotypes
2358,13775,2016,South Africa,pregnant,12,1010,0.011881188,8,22,22,female stereotypes
2359,13776,2017,South Africa,pregnant,22,2320,0.009482759,8,22,22,female stereotypes
2360,13777,2018,South Africa,pregnant,31,3204,0.009675406,8,22,22,female stereotypes
2361,13778,2019,South Africa,pregnant,21,3582,0.005862647,8,22,22,female stereotypes
2362,13779,2020,South Africa,pregnant,54,3882,0.013910355,8,22,22,female stereotypes
2363,13780,2021,South Africa,pregnant,29,2553,0.011359185,8,22,22,female stereotypes
2364,13799,2010,South Africa,lead,0,64,0.0,4,24,24,empowerment
2365,13800,2011,South Africa,lead,1,239,0.0041841000000000005,4,24,24,empowerment
2366,13801,2012,South Africa,lead,2,355,0.005633803000000001,4,24,24,empowerment
2367,13802,2013,South Africa,lead,3,402,0.007462687,4,24,24,empowerment
2368,13803,2014,South Africa,lead,3,400,0.0075,4,24,24,empowerment
2369,13804,2015,South Africa,lead,2,580,0.003448276,4,24,24,empowerment
2370,13805,2016,South Africa,lead,9,1010,0.008910890999999999,4,24,24,empowerment
2371,13806,2017,South Africa,lead,17,2320,0.007327586,4,24,24,empowerment
2372,13807,2018,South Africa,lead,23,3204,0.007178527,4,24,24,empowerment
2373,13808,2019,South Africa,lead,27,3582,0.007537688000000002,4,24,24,empowerment
2374,13809,2020,South Africa,lead,34,3882,0.008758372,4,24,24,empowerment
2375,13810,2021,South Africa,lead,28,2553,0.010967489,4,24,24,empowerment
2400,13934,2010,South Africa,wife,0,64,0.0,4,33,33,female stereotypes
2401,13935,2011,South Africa,wife,2,239,0.008368201,4,33,33,female stereotypes
2402,13936,2012,South Africa,wife,1,355,0.002816901,4,33,33,female stereotypes
2403,13937,2013,South Africa,wife,1,402,0.002487562,4,33,33,female stereotypes
2404,13938,2014,South Africa,wife,7,400,0.0175,4,33,33,female stereotypes
2405,13939,2015,South Africa,wife,4,580,0.006896551999999999,4,33,33,female stereotypes
2406,13940,2016,South Africa,wife,13,1010,0.012871287,4,33,33,female stereotypes
2407,13941,2017,South Africa,wife,23,2320,0.009913793,4,33,33,female stereotypes
2408,13942,2018,South Africa,wife,40,3204,0.012484395,4,33,33,female stereotypes
2409,13943,2019,South Africa,wife,26,3582,0.007258515,4,33,33,female stereotypes
2410,13944,2020,South Africa,wife,39,3882,0.010046368,4,33,33,female stereotypes
2411,13945,2021,South Africa,wife,24,2553,0.009400705,4,33,33,female stereotypes
2436,14204,2010,South Africa,sexual,0,64,0.0,6,56,56,female stereotypes
2437,14205,2011,South Africa,sexual,0,239,0.0,6,56,56,female stereotypes
2438,14206,2012,South Africa,sexual,0,355,0.0,6,56,56,female stereotypes
2439,14207,2013,South Africa,sexual,1,402,0.002487562,6,56,56,female stereotypes
2440,14208,2014,South Africa,sexual,2,400,0.005,6,56,56,female stereotypes
2441,14209,2015,South Africa,sexual,2,580,0.003448276,6,56,56,female stereotypes
2442,14210,2016,South Africa,sexual,1,1010,0.000990099,6,56,56,female stereotypes
2443,14211,2017,South Africa,sexual,15,2320,0.006465517,6,56,56,female stereotypes
2444,14212,2018,South Africa,sexual,13,3204,0.004057428,6,56,56,female stereotypes
2445,14213,2019,South Africa,sexual,13,3582,0.003629257,6,56,56,female stereotypes
2446,14214,2020,South Africa,sexual,15,3882,0.003863988,6,56,56,female stereotypes
2447,14215,2021,South Africa,sexual,19,2553,0.007442225,6,56,56,female stereotypes
2448,14249,2010,South Africa,doctor,0,64,0.0,6,59,59,empowerment
2449,14250,2011,South Africa,doctor,0,239,0.0,6,59,59,empowerment
2450,14251,2012,South Africa,doctor,1,355,0.002816901,6,59,59,empowerment
2451,14252,2013,South Africa,doctor,3,402,0.007462687,6,59,59,empowerment
2452,14253,2014,South Africa,doctor,3,400,0.0075,6,59,59,empowerment
2453,14254,2015,South Africa,doctor,2,580,0.003448276,6,59,59,empowerment
2454,14255,2016,South Africa,doctor,3,1010,0.002970297,6,59,59,empowerment
2455,14256,2017,South Africa,doctor,5,2320,0.002155172,6,59,59,empowerment
2456,14257,2018,South Africa,doctor,19,3204,0.005930087,6,59,59,empowerment
2457,14258,2019,South Africa,doctor,23,3582,0.006420994,6,59,59,empowerment
2458,14259,2020,South Africa,doctor,27,3882,0.006955178,6,59,59,empowerment
2459,14260,2021,South Africa,doctor,18,2553,0.007050529,6,59,59,empowerment
2472,14429,2010,South Africa,fear,0,64,0.0,4,73,73,female stereotypes
2473,14430,2011,South Africa,fear,2,239,0.008368201,4,73,73,female stereotypes
2474,14431,2012,South Africa,fear,1,355,0.002816901,4,73,73,female stereotypes
2475,14432,2013,South Africa,fear,0,402,0.0,4,73,73,female stereotypes
2476,14433,2014,South Africa,fear,6,400,0.015,4,73,73,female stereotypes
2477,14434,2015,South Africa,fear,5,580,0.00862069,4,73,73,female stereotypes
2478,14435,2016,South Africa,fear,4,1010,0.003960396,4,73,73,female stereotypes
2479,14436,2017,South Africa,fear,16,2320,0.006896551999999999,4,73,73,female stereotypes
2480,14437,2018,South Africa,fear,26,3204,0.008114856,4,73,73,female stereotypes
2481,14438,2019,South Africa,fear,13,3582,0.003629257,4,73,73,female stereotypes
2482,14439,2020,South Africa,fear,23,3882,0.005924781,4,73,73,female stereotypes
2483,14440,2021,South Africa,fear,16,2553,0.006267137,4,73,73,female stereotypes
2508,14504,2010,South Africa,trial,0,64,0.0,5,78,78,crime and violence
2509,14505,2011,South Africa,trial,0,239,0.0,5,78,78,crime and violence
2510,14506,2012,South Africa,trial,2,355,0.005633803000000001,5,78,78,crime and violence
2511,14507,2013,South Africa,trial,0,402,0.0,5,78,78,crime and violence
2512,14508,2014,South Africa,trial,3,400,0.0075,5,78,78,crime and violence
2513,14509,2015,South Africa,trial,3,580,0.005172414,5,78,78,crime and violence
2514,14510,2016,South Africa,trial,4,1010,0.003960396,5,78,78,crime and violence
2515,14511,2017,South Africa,trial,11,2320,0.004741379,5,78,78,crime and violence
2516,14512,2018,South Africa,trial,23,3204,0.007178527,5,78,78,crime and violence
2517,14513,2019,South Africa,trial,22,3582,0.00614182,5,78,78,crime and violence
2518,14514,2020,South Africa,trial,12,3882,0.00309119,5,78,78,crime and violence
2519,14515,2021,South Africa,trial,16,2553,0.006267137,5,78,78,crime and violence
2520,14534,2010,South Africa,leader,0,64,0.0,6,81,81,empowerment
2521,14535,2011,South Africa,leader,1,239,0.0041841000000000005,6,81,81,empowerment
2522,14536,2012,South Africa,leader,1,355,0.002816901,6,81,81,empowerment
2523,14537,2013,South Africa,leader,1,402,0.002487562,6,81,81,empowerment
2524,14538,2014,South Africa,leader,2,400,0.005,6,81,81,empowerment
2525,14539,2015,South Africa,leader,3,580,0.005172414,6,81,81,empowerment
2526,14540,2016,South Africa,leader,2,1010,0.001980198,6,81,81,empowerment
2527,14541,2017,South Africa,leader,5,2320,0.002155172,6,81,81,empowerment
2528,14542,2018,South Africa,leader,16,3204,0.004993758,6,81,81,empowerment
2529,14543,2019,South Africa,leader,18,3582,0.005025126,6,81,81,empowerment
2530,14544,2020,South Africa,leader,14,3882,0.003606388,6,81,81,empowerment
2531,14545,2021,South Africa,leader,15,2553,0.005875441,6,81,81,empowerment
2532,14564,2010,South Africa,survive,0,64,0.0,7,83,83,empowerment
2533,14565,2011,South Africa,survive,1,239,0.0041841000000000005,7,83,83,empowerment
2534,14566,2012,South Africa,survive,1,355,0.002816901,7,83,83,empowerment
2535,14567,2013,South Africa,survive,2,402,0.004975124,7,83,83,empowerment
2536,14568,2014,South Africa,survive,1,400,0.0025,7,83,83,empowerment
2537,14569,2015,South Africa,survive,1,580,0.0017241379999999998,7,83,83,empowerment
2538,14570,2016,South Africa,survive,2,1010,0.001980198,7,83,83,empowerment
2539,14571,2017,South Africa,survive,11,2320,0.004741379,7,83,83,empowerment
2540,14572,2018,South Africa,survive,5,3204,0.0015605489999999998,7,83,83,empowerment
2541,14573,2019,South Africa,survive,9,3582,0.002512563,7,83,83,empowerment
2542,14574,2020,South Africa,survive,17,3882,0.004379186,7,83,83,empowerment
2543,14575,2021,South Africa,survive,15,2553,0.005875441,7,83,83,empowerment
2544,14684,2010,South Africa,empower,0,64,0.0,7,95,95,empowerment
2545,14685,2011,South Africa,empower,0,239,0.0,7,95,95,empowerment
2546,14686,2012,South Africa,empower,2,355,0.005633803000000001,7,95,95,empowerment
2547,14687,2013,South Africa,empower,0,402,0.0,7,95,95,empowerment
2548,14688,2014,South Africa,empower,0,400,0.0,7,95,95,empowerment
2549,14689,2015,South Africa,empower,2,580,0.003448276,7,95,95,empowerment
2550,14690,2016,South Africa,empower,1,1010,0.000990099,7,95,95,empowerment
2551,14691,2017,South Africa,empower,7,2320,0.003017241,7,95,95,empowerment
2552,14692,2018,South Africa,empower,16,3204,0.004993758,7,95,95,empowerment
2553,14693,2019,South Africa,empower,15,3582,0.004187605,7,95,95,empowerment
2554,14694,2020,South Africa,empower,16,3882,0.004121587,7,95,95,empowerment
2555,14695,2021,South Africa,empower,13,2553,0.005092049,7,95,95,empowerment
2556,14699,2010,South Africa,gender,0,64,0.0,6,96,96,"race, ethnicity and identity"
2557,14700,2011,South Africa,gender,0,239,0.0,6,96,96,"race, ethnicity and identity"
2558,14701,2012,South Africa,gender,1,355,0.002816901,6,96,96,"race, ethnicity and identity"
2559,14702,2013,South Africa,gender,0,402,0.0,6,96,96,"race, ethnicity and identity"
2560,14703,2014,South Africa,gender,1,400,0.0025,6,96,96,"race, ethnicity and identity"
2561,14704,2015,South Africa,gender,0,580,0.0,6,96,96,"race, ethnicity and identity"
2562,14705,2016,South Africa,gender,3,1010,0.002970297,6,96,96,"race, ethnicity and identity"
2563,14706,2017,South Africa,gender,7,2320,0.003017241,6,96,96,"race, ethnicity and identity"
2564,14707,2018,South Africa,gender,15,3204,0.004681648,6,96,96,"race, ethnicity and identity"
2565,14708,2019,South Africa,gender,22,3582,0.00614182,6,96,96,"race, ethnicity and identity"
2566,14709,2020,South Africa,gender,13,3882,0.003348789,6,96,96,"race, ethnicity and identity"
2567,14710,2021,South Africa,gender,13,2553,0.005092049,6,96,96,"race, ethnicity and identity"
2592,14774,2010,South Africa,transgender,0,64,0.0,11,102,102,"race, ethnicity and identity"
2593,14775,2011,South Africa,transgender,1,239,0.0041841000000000005,11,102,102,"race, ethnicity and identity"
2594,14776,2012,South Africa,transgender,0,355,0.0,11,102,102,"race, ethnicity and identity"
2595,14777,2013,South Africa,transgender,0,402,0.0,11,102,102,"race, ethnicity and identity"
2596,14778,2014,South Africa,transgender,1,400,0.0025,11,102,102,"race, ethnicity and identity"
2597,14779,2015,South Africa,transgender,0,580,0.0,11,102,102,"race, ethnicity and identity"
2598,14780,2016,South Africa,transgender,0,1010,0.0,11,102,102,"race, ethnicity and identity"
2599,14781,2017,South Africa,transgender,2,2320,0.0008620689999999999,11,102,102,"race, ethnicity and identity"
2600,14782,2018,South Africa,transgender,8,3204,0.002496879,11,102,102,"race, ethnicity and identity"
2601,14783,2019,South Africa,transgender,7,3582,0.001954216,11,102,102,"race, ethnicity and identity"
2602,14784,2020,South Africa,transgender,8,3882,0.002060793,11,102,102,"race, ethnicity and identity"
2603,14785,2021,South Africa,transgender,13,2553,0.005092049,11,102,102,"race, ethnicity and identity"
2604,14789,2010,South Africa,appoint,0,64,0.0,7,103,103,empowerment
2605,14790,2011,South Africa,appoint,0,239,0.0,7,103,103,empowerment
2606,14791,2012,South Africa,appoint,0,355,0.0,7,103,103,empowerment
2607,14792,2013,South Africa,appoint,2,402,0.004975124,7,103,103,empowerment
2608,14793,2014,South Africa,appoint,1,400,0.0025,7,103,103,empowerment
2609,14794,2015,South Africa,appoint,2,580,0.003448276,7,103,103,empowerment
2610,14795,2016,South Africa,appoint,3,1010,0.002970297,7,103,103,empowerment
2611,14796,2017,South Africa,appoint,7,2320,0.003017241,7,103,103,empowerment
2612,14797,2018,South Africa,appoint,12,3204,0.003745318,7,103,103,empowerment
2613,14798,2019,South Africa,appoint,11,3582,0.00307091,7,103,103,empowerment
2614,14799,2020,South Africa,appoint,11,3882,0.002833591,7,103,103,empowerment
2615,14800,2021,South Africa,appoint,12,2553,0.004700353,7,103,103,empowerment
2616,14879,2010,South Africa,guilty,0,64,0.0,6,110,110,crime and violence
2617,14880,2011,South Africa,guilty,1,239,0.0041841000000000005,6,110,110,crime and violence
2618,14881,2012,South Africa,guilty,3,355,0.008450704,6,110,110,crime and violence
2619,14882,2013,South Africa,guilty,2,402,0.004975124,6,110,110,crime and violence
2620,14883,2014,South Africa,guilty,2,400,0.005,6,110,110,crime and violence
2621,14884,2015,South Africa,guilty,4,580,0.006896551999999999,6,110,110,crime and violence
2622,14885,2016,South Africa,guilty,6,1010,0.005940594,6,110,110,crime and violence
2623,14886,2017,South Africa,guilty,11,2320,0.004741379,6,110,110,crime and violence
2624,14887,2018,South Africa,guilty,13,3204,0.004057428,6,110,110,crime and violence
2625,14888,2019,South Africa,guilty,16,3582,0.004466778,6,110,110,crime and violence
2626,14889,2020,South Africa,guilty,15,3882,0.003863988,6,110,110,crime and violence
2627,14890,2021,South Africa,guilty,12,2553,0.004700353,6,110,110,crime and violence
2628,14969,2010,South Africa,power,0,64,0.0,5,117,117,empowerment
2629,14970,2011,South Africa,power,1,239,0.0041841000000000005,5,117,117,empowerment
2630,14971,2012,South Africa,power,2,355,0.005633803000000001,5,117,117,empowerment
2631,14972,2013,South Africa,power,1,402,0.002487562,5,117,117,empowerment
2632,14973,2014,South Africa,power,5,400,0.0125,5,117,117,empowerment
2633,14974,2015,South Africa,power,3,580,0.005172414,5,117,117,empowerment
2634,14975,2016,South Africa,power,6,1010,0.005940594,5,117,117,empowerment
2635,14976,2017,South Africa,power,10,2320,0.004310345,5,117,117,empowerment
2636,14977,2018,South Africa,power,16,3204,0.004993758,5,117,117,empowerment
2637,14978,2019,South Africa,power,16,3582,0.004466778,5,117,117,empowerment
2638,14979,2020,South Africa,power,14,3882,0.003606388,5,117,117,empowerment
2639,14980,2021,South Africa,power,12,2553,0.004700353,5,117,117,empowerment
2640,14999,2010,South Africa,support,0,64,0.0,7,119,119,female stereotypes
2641,15000,2011,South Africa,support,0,239,0.0,7,119,119,female stereotypes
2642,15001,2012,South Africa,support,1,355,0.002816901,7,119,119,female stereotypes
2643,15002,2013,South Africa,support,0,402,0.0,7,119,119,female stereotypes
2644,15003,2014,South Africa,support,1,400,0.0025,7,119,119,female stereotypes
2645,15004,2015,South Africa,support,1,580,0.0017241379999999998,7,119,119,female stereotypes
2646,15005,2016,South Africa,support,4,1010,0.003960396,7,119,119,female stereotypes
2647,15006,2017,South Africa,support,14,2320,0.006034483,7,119,119,female stereotypes
2648,15007,2018,South Africa,support,19,3204,0.005930087,7,119,119,female stereotypes
2649,15008,2019,South Africa,support,16,3582,0.004466778,7,119,119,female stereotypes
2650,15009,2020,South Africa,support,20,3882,0.005151984,7,119,119,female stereotypes
2651,15010,2021,South Africa,support,12,2553,0.004700353,7,119,119,female stereotypes
2652,15059,2010,South Africa,boss,0,64,0.0,4,124,124,empowerment
2653,15060,2011,South Africa,boss,0,239,0.0,4,124,124,empowerment
2654,15061,2012,South Africa,boss,1,355,0.002816901,4,124,124,empowerment
2655,15062,2013,South Africa,boss,0,402,0.0,4,124,124,empowerment
2656,15063,2014,South Africa,boss,1,400,0.0025,4,124,124,empowerment
2657,15064,2015,South Africa,boss,2,580,0.003448276,4,124,124,empowerment
2658,15065,2016,South Africa,boss,5,1010,0.004950495,4,124,124,empowerment
2659,15066,2017,South Africa,boss,7,2320,0.003017241,4,124,124,empowerment
2660,15067,2018,South Africa,boss,18,3204,0.005617978,4,124,124,empowerment
2661,15068,2019,South Africa,boss,4,3582,0.001116695,4,124,124,empowerment
2662,15069,2020,South Africa,boss,15,3882,0.003863988,4,124,124,empowerment
2663,15070,2021,South Africa,boss,11,2553,0.004308656,4,124,124,empowerment
2664,15284,2010,South Africa,abuse,0,64,0.0,5,139,139,crime and violence
2665,15285,2011,South Africa,abuse,2,239,0.008368201,5,139,139,crime and violence
2666,15286,2012,South Africa,abuse,1,355,0.002816901,5,139,139,crime and violence
2667,15287,2013,South Africa,abuse,3,402,0.007462687,5,139,139,crime and violence
2668,15288,2014,South Africa,abuse,5,400,0.0125,5,139,139,crime and violence
2669,15289,2015,South Africa,abuse,5,580,0.00862069,5,139,139,crime and violence
2670,15290,2016,South Africa,abuse,5,1010,0.004950495,5,139,139,crime and violence
2671,15291,2017,South Africa,abuse,38,2320,0.01637931,5,139,139,crime and violence
2672,15292,2018,South Africa,abuse,55,3204,0.017166042,5,139,139,crime and violence
2673,15293,2019,South Africa,abuse,57,3582,0.015912898,5,139,139,crime and violence
2674,15294,2020,South Africa,abuse,51,3882,0.013137558,5,139,139,crime and violence
2675,15295,2021,South Africa,abuse,10,2553,0.00391696,5,139,139,crime and violence
2688,15329,2010,South Africa,award,0,64,0.0,5,142,142,empowerment
2689,15330,2011,South Africa,award,0,239,0.0,5,142,142,empowerment
2690,15331,2012,South Africa,award,0,355,0.0,5,142,142,empowerment
2691,15332,2013,South Africa,award,0,402,0.0,5,142,142,empowerment
2692,15333,2014,South Africa,award,1,400,0.0025,5,142,142,empowerment
2693,15334,2015,South Africa,award,3,580,0.005172414,5,142,142,empowerment
2694,15335,2016,South Africa,award,6,1010,0.005940594,5,142,142,empowerment
2695,15336,2017,South Africa,award,12,2320,0.005172414,5,142,142,empowerment
2696,15337,2018,South Africa,award,12,3204,0.003745318,5,142,142,empowerment
2697,15338,2019,South Africa,award,25,3582,0.006979341,5,142,142,empowerment
2698,15339,2020,South Africa,award,20,3882,0.005151984,5,142,142,empowerment
2699,15340,2021,South Africa,award,10,2553,0.00391696,5,142,142,empowerment
2712,15359,2010,South Africa,burn,0,64,0.0,4,144,144,crime and violence
2713,15360,2011,South Africa,burn,1,239,0.0041841000000000005,4,144,144,crime and violence
2714,15361,2012,South Africa,burn,1,355,0.002816901,4,144,144,crime and violence
2715,15362,2013,South Africa,burn,2,402,0.004975124,4,144,144,crime and violence
2716,15363,2014,South Africa,burn,1,400,0.0025,4,144,144,crime and violence
2717,15364,2015,South Africa,burn,6,580,0.010344828,4,144,144,crime and violence
2718,15365,2016,South Africa,burn,5,1010,0.004950495,4,144,144,crime and violence
2719,15366,2017,South Africa,burn,9,2320,0.00387931,4,144,144,crime and violence
2720,15367,2018,South Africa,burn,27,3204,0.008426966,4,144,144,crime and violence
2721,15368,2019,South Africa,burn,37,3582,0.010329425,4,144,144,crime and violence
2722,15369,2020,South Africa,burn,23,3882,0.005924781,4,144,144,crime and violence
2723,15370,2021,South Africa,burn,10,2553,0.00391696,4,144,144,crime and violence
2724,15434,2010,South Africa,kidnap,0,64,0.0,6,150,150,crime and violence
2725,15435,2011,South Africa,kidnap,2,239,0.008368201,6,150,150,crime and violence
2726,15436,2012,South Africa,kidnap,5,355,0.014084507,6,150,150,crime and violence
2727,15437,2013,South Africa,kidnap,2,402,0.004975124,6,150,150,crime and violence
2728,15438,2014,South Africa,kidnap,1,400,0.0025,6,150,150,crime and violence
2729,15439,2015,South Africa,kidnap,1,580,0.0017241379999999998,6,150,150,crime and violence
2730,15440,2016,South Africa,kidnap,4,1010,0.003960396,6,150,150,crime and violence
2731,15441,2017,South Africa,kidnap,3,2320,0.001293103,6,150,150,crime and violence
2732,15442,2018,South Africa,kidnap,16,3204,0.004993758,6,150,150,crime and violence
2733,15443,2019,South Africa,kidnap,39,3582,0.010887772,6,150,150,crime and violence
2734,15444,2020,South Africa,kidnap,37,3882,0.00953117,6,150,150,crime and violence
2735,15445,2021,South Africa,kidnap,10,2553,0.00391696,6,150,150,crime and violence
2736,15479,2010,South Africa,marry,0,64,0.0,5,153,153,female stereotypes
2737,15480,2011,South Africa,marry,2,239,0.008368201,5,153,153,female stereotypes
2738,15481,2012,South Africa,marry,0,355,0.0,5,153,153,female stereotypes
2739,15482,2013,South Africa,marry,4,402,0.009950249,5,153,153,female stereotypes
2740,15483,2014,South Africa,marry,4,400,0.01,5,153,153,female stereotypes
2741,15484,2015,South Africa,marry,3,580,0.005172414,5,153,153,female stereotypes
2742,15485,2016,South Africa,marry,6,1010,0.005940594,5,153,153,female stereotypes
2743,15486,2017,South Africa,marry,10,2320,0.004310345,5,153,153,female stereotypes
2744,15487,2018,South Africa,marry,14,3204,0.004369538,5,153,153,female stereotypes
2745,15488,2019,South Africa,marry,9,3582,0.002512563,5,153,153,female stereotypes
2746,15489,2020,South Africa,marry,4,3882,0.001030397,5,153,153,female stereotypes
2747,15490,2021,South Africa,marry,10,2553,0.00391696,5,153,153,female stereotypes
2772,15614,2010,South Africa,witchcraft,0,64,0.0,10,166,166,female stereotypes
2773,15615,2011,South Africa,witchcraft,0,239,0.0,10,166,166,female stereotypes
2774,15616,2012,South Africa,witchcraft,0,355,0.0,10,166,166,female stereotypes
2775,15617,2013,South Africa,witchcraft,0,402,0.0,10,166,166,female stereotypes
2776,15618,2014,South Africa,witchcraft,0,400,0.0,10,166,166,female stereotypes
2777,15619,2015,South Africa,witchcraft,1,580,0.0017241379999999998,10,166,166,female stereotypes
2778,15620,2016,South Africa,witchcraft,2,1010,0.001980198,10,166,166,female stereotypes
2779,15621,2017,South Africa,witchcraft,3,2320,0.001293103,10,166,166,female stereotypes
2780,15622,2018,South Africa,witchcraft,3,3204,0.00093633,10,166,166,female stereotypes
2781,15623,2019,South Africa,witchcraft,1,3582,0.00027917400000000003,10,166,166,female stereotypes
2782,15624,2020,South Africa,witchcraft,11,3882,0.002833591,10,166,166,female stereotypes
2783,15625,2021,South Africa,witchcraft,10,2553,0.00391696,10,166,166,female stereotypes
2784,15689,2010,South Africa,activist,0,64,0.0,8,171,171,empowerment
2785,15690,2011,South Africa,activist,2,239,0.008368201,8,171,171,empowerment
2786,15691,2012,South Africa,activist,0,355,0.0,8,171,171,empowerment
2787,15692,2013,South Africa,activist,2,402,0.004975124,8,171,171,empowerment
2788,15693,2014,South Africa,activist,2,400,0.005,8,171,171,empowerment
2789,15694,2015,South Africa,activist,0,580,0.0,8,171,171,empowerment
2790,15695,2016,South Africa,activist,3,1010,0.002970297,8,171,171,empowerment
2791,15696,2017,South Africa,activist,5,2320,0.002155172,8,171,171,empowerment
2792,15697,2018,South Africa,activist,5,3204,0.0015605489999999998,8,171,171,empowerment
2793,15698,2019,South Africa,activist,6,3582,0.001675042,8,171,171,empowerment
2794,15699,2020,South Africa,activist,12,3882,0.00309119,8,171,171,empowerment
2795,15700,2021,South Africa,activist,9,2553,0.003525264,8,171,171,empowerment
2808,15779,2010,South Africa,brutal,0,64,0.0,6,178,178,crime and violence
2809,15780,2011,South Africa,brutal,0,239,0.0,6,178,178,crime and violence
2810,15781,2012,South Africa,brutal,2,355,0.005633803000000001,6,178,178,crime and violence
2811,15782,2013,South Africa,brutal,0,402,0.0,6,178,178,crime and violence
2812,15783,2014,South Africa,brutal,0,400,0.0,6,178,178,crime and violence
2813,15784,2015,South Africa,brutal,0,580,0.0,6,178,178,crime and violence
2814,15785,2016,South Africa,brutal,3,1010,0.002970297,6,178,178,crime and violence
2815,15786,2017,South Africa,brutal,2,2320,0.0008620689999999999,6,178,178,crime and violence
2816,15787,2018,South Africa,brutal,3,3204,0.00093633,6,178,178,crime and violence
2817,15788,2019,South Africa,brutal,7,3582,0.001954216,6,178,178,crime and violence
2818,15789,2020,South Africa,brutal,17,3882,0.004379186,6,178,178,crime and violence
2819,15790,2021,South Africa,brutal,9,2553,0.003525264,6,178,178,crime and violence
2820,15854,2010,South Africa,emotional,0,64,0.0,9,183,183,female stereotypes
2821,15855,2011,South Africa,emotional,0,239,0.0,9,183,183,female stereotypes
2822,15856,2012,South Africa,emotional,0,355,0.0,9,183,183,female stereotypes
2823,15857,2013,South Africa,emotional,0,402,0.0,9,183,183,female stereotypes
2824,15858,2014,South Africa,emotional,0,400,0.0,9,183,183,female stereotypes
2825,15859,2015,South Africa,emotional,1,580,0.0017241379999999998,9,183,183,female stereotypes
2826,15860,2016,South Africa,emotional,1,1010,0.000990099,9,183,183,female stereotypes
2827,15861,2017,South Africa,emotional,5,2320,0.002155172,9,183,183,female stereotypes
2828,15862,2018,South Africa,emotional,12,3204,0.003745318,9,183,183,female stereotypes
2829,15863,2019,South Africa,emotional,9,3582,0.002512563,9,183,183,female stereotypes
2830,15864,2020,South Africa,emotional,5,3882,0.001287996,9,183,183,female stereotypes
2831,15865,2021,South Africa,emotional,9,2553,0.003525264,9,183,183,female stereotypes
2832,15884,2010,South Africa,inspire,0,64,0.0,7,185,185,empowerment
2833,15885,2011,South Africa,inspire,0,239,0.0,7,185,185,empowerment
2834,15886,2012,South Africa,inspire,0,355,0.0,7,185,185,empowerment
2835,15887,2013,South Africa,inspire,1,402,0.002487562,7,185,185,empowerment
2836,15888,2014,South Africa,inspire,1,400,0.0025,7,185,185,empowerment
2837,15889,2015,South Africa,inspire,1,580,0.0017241379999999998,7,185,185,empowerment
2838,15890,2016,South Africa,inspire,3,1010,0.002970297,7,185,185,empowerment
2839,15891,2017,South Africa,inspire,4,2320,0.0017241379999999998,7,185,185,empowerment
2840,15892,2018,South Africa,inspire,12,3204,0.003745318,7,185,185,empowerment
2841,15893,2019,South Africa,inspire,7,3582,0.001954216,7,185,185,empowerment
2842,15894,2020,South Africa,inspire,9,3882,0.002318393,7,185,185,empowerment
2843,15895,2021,South Africa,inspire,9,2553,0.003525264,7,185,185,empowerment
2844,15899,2010,South Africa,owner,0,64,0.0,5,187,187,empowerment
2845,15900,2011,South Africa,owner,0,239,0.0,5,187,187,empowerment
2846,15901,2012,South Africa,owner,1,355,0.002816901,5,187,187,empowerment
2847,15902,2013,South Africa,owner,1,402,0.002487562,5,187,187,empowerment
2848,15903,2014,South Africa,owner,0,400,0.0,5,187,187,empowerment
2849,15904,2015,South Africa,owner,0,580,0.0,5,187,187,empowerment
2850,15905,2016,South Africa,owner,1,1010,0.000990099,5,187,187,empowerment
2851,15906,2017,South Africa,owner,5,2320,0.002155172,5,187,187,empowerment
2852,15907,2018,South Africa,owner,6,3204,0.001872659,5,187,187,empowerment
2853,15908,2019,South Africa,owner,3,3582,0.000837521,5,187,187,empowerment
2854,15909,2020,South Africa,owner,25,3882,0.006439979,5,187,187,empowerment
2855,15910,2021,South Africa,owner,9,2553,0.003525264,5,187,187,empowerment
2856,16034,2010,South Africa,suicide,0,64,0.0,7,196,196,crime and violence
2857,16035,2011,South Africa,suicide,1,239,0.0041841000000000005,7,196,196,crime and violence
2858,16036,2012,South Africa,suicide,0,355,0.0,7,196,196,crime and violence
2859,16037,2013,South Africa,suicide,3,402,0.007462687,7,196,196,crime and violence
2860,16038,2014,South Africa,suicide,1,400,0.0025,7,196,196,crime and violence
2861,16039,2015,South Africa,suicide,5,580,0.00862069,7,196,196,crime and violence
2862,16040,2016,South Africa,suicide,2,1010,0.001980198,7,196,196,crime and violence
2863,16041,2017,South Africa,suicide,3,2320,0.001293103,7,196,196,crime and violence
2864,16042,2018,South Africa,suicide,14,3204,0.004369538,7,196,196,crime and violence
2865,16043,2019,South Africa,suicide,10,3582,0.002791736,7,196,196,crime and violence
2866,16044,2020,South Africa,suicide,14,3882,0.003606388,7,196,196,crime and violence
2867,16045,2021,South Africa,suicide,9,2553,0.003525264,7,196,196,crime and violence
2916,16364,2010,South Africa,march,0,64,0.0,5,219,219,empowerment
2917,16365,2011,South Africa,march,0,239,0.0,5,219,219,empowerment
2918,16366,2012,South Africa,march,1,355,0.002816901,5,219,219,empowerment
2919,16367,2013,South Africa,march,0,402,0.0,5,219,219,empowerment
2920,16368,2014,South Africa,march,0,400,0.0,5,219,219,empowerment
2921,16369,2015,South Africa,march,1,580,0.0017241379999999998,5,219,219,empowerment
2922,16370,2016,South Africa,march,4,1010,0.003960396,5,219,219,empowerment
2923,16371,2017,South Africa,march,18,2320,0.0077586209999999985,5,219,219,empowerment
2924,16372,2018,South Africa,march,12,3204,0.003745318,5,219,219,empowerment
2925,16373,2019,South Africa,march,6,3582,0.001675042,5,219,219,empowerment
2926,16374,2020,South Africa,march,10,3882,0.002575992,5,219,219,empowerment
2927,16375,2021,South Africa,march,8,2553,0.003133568,5,219,219,empowerment
2952,16514,2010,South Africa,survivor,0,64,0.0,8,232,232,empowerment
2953,16515,2011,South Africa,survivor,0,239,0.0,8,232,232,empowerment
2954,16516,2012,South Africa,survivor,0,355,0.0,8,232,232,empowerment
2955,16517,2013,South Africa,survivor,0,402,0.0,8,232,232,empowerment
2956,16518,2014,South Africa,survivor,1,400,0.0025,8,232,232,empowerment
2957,16519,2015,South Africa,survivor,0,580,0.0,8,232,232,empowerment
2958,16520,2016,South Africa,survivor,3,1010,0.002970297,8,232,232,empowerment
2959,16521,2017,South Africa,survivor,4,2320,0.0017241379999999998,8,232,232,empowerment
2960,16522,2018,South Africa,survivor,4,3204,0.0012484389999999998,8,232,232,empowerment
2961,16523,2019,South Africa,survivor,8,3582,0.002233389,8,232,232,empowerment
2962,16524,2020,South Africa,survivor,13,3882,0.003348789,8,232,232,empowerment
2963,16525,2021,South Africa,survivor,8,2553,0.003133568,8,232,232,empowerment
2964,16649,2010,South Africa,career,0,64,0.0,6,245,245,empowerment
2965,16650,2011,South Africa,career,0,239,0.0,6,245,245,empowerment
2966,16651,2012,South Africa,career,1,355,0.002816901,6,245,245,empowerment
2967,16652,2013,South Africa,career,0,402,0.0,6,245,245,empowerment
2968,16653,2014,South Africa,career,1,400,0.0025,6,245,245,empowerment
2969,16654,2015,South Africa,career,2,580,0.003448276,6,245,245,empowerment
2970,16655,2016,South Africa,career,2,1010,0.001980198,6,245,245,empowerment
2971,16656,2017,South Africa,career,3,2320,0.001293103,6,245,245,empowerment
2972,16657,2018,South Africa,career,13,3204,0.004057428,6,245,245,empowerment
2973,16658,2019,South Africa,career,3,3582,0.000837521,6,245,245,empowerment
2974,16659,2020,South Africa,career,14,3882,0.003606388,6,245,245,empowerment
2975,16660,2021,South Africa,career,7,2553,0.002741872,6,245,245,empowerment
2976,16664,2010,South Africa,ceo,0,64,0.0,3,246,246,empowerment
2977,16665,2011,South Africa,ceo,0,239,0.0,3,246,246,empowerment
2978,16666,2012,South Africa,ceo,0,355,0.0,3,246,246,empowerment
2979,16667,2013,South Africa,ceo,0,402,0.0,3,246,246,empowerment
2980,16668,2014,South Africa,ceo,2,400,0.005,3,246,246,empowerment
2981,16669,2015,South Africa,ceo,0,580,0.0,3,246,246,empowerment
2982,16670,2016,South Africa,ceo,2,1010,0.001980198,3,246,246,empowerment
2983,16671,2017,South Africa,ceo,3,2320,0.001293103,3,246,246,empowerment
2984,16672,2018,South Africa,ceo,16,3204,0.004993758,3,246,246,empowerment
2985,16673,2019,South Africa,ceo,10,3582,0.002791736,3,246,246,empowerment
2986,16674,2020,South Africa,ceo,16,3882,0.004121587,3,246,246,empowerment
2987,16675,2021,South Africa,ceo,7,2553,0.002741872,3,246,246,empowerment
2988,16679,2010,South Africa,cricketer,0,64,0.0,9,249,249,empowerment
2989,16680,2011,South Africa,cricketer,0,239,0.0,9,249,249,empowerment
2990,16681,2012,South Africa,cricketer,0,355,0.0,9,249,249,empowerment
2991,16682,2013,South Africa,cricketer,0,402,0.0,9,249,249,empowerment
2992,16683,2014,South Africa,cricketer,1,400,0.0025,9,249,249,empowerment
2993,16684,2015,South Africa,cricketer,0,580,0.0,9,249,249,empowerment
2994,16685,2016,South Africa,cricketer,0,1010,0.0,9,249,249,empowerment
2995,16686,2017,South Africa,cricketer,1,2320,0.000431034,9,249,249,empowerment
2996,16687,2018,South Africa,cricketer,3,3204,0.00093633,9,249,249,empowerment
2997,16688,2019,South Africa,cricketer,1,3582,0.00027917400000000003,9,249,249,empowerment
2998,16689,2020,South Africa,cricketer,1,3882,0.000257599,9,249,249,empowerment
2999,16690,2021,South Africa,cricketer,7,2553,0.002741872,9,249,249,empowerment
3000,16694,2010,South Africa,director,0,64,0.0,8,250,250,empowerment
3001,16695,2011,South Africa,director,0,239,0.0,8,250,250,empowerment
3002,16696,2012,South Africa,director,0,355,0.0,8,250,250,empowerment
3003,16697,2013,South Africa,director,0,402,0.0,8,250,250,empowerment
3004,16698,2014,South Africa,director,1,400,0.0025,8,250,250,empowerment
3005,16699,2015,South Africa,director,0,580,0.0,8,250,250,empowerment
3006,16700,2016,South Africa,director,0,1010,0.0,8,250,250,empowerment
3007,16701,2017,South Africa,director,2,2320,0.0008620689999999999,8,250,250,empowerment
3008,16702,2018,South Africa,director,6,3204,0.001872659,8,250,250,empowerment
3009,16703,2019,South Africa,director,4,3582,0.001116695,8,250,250,empowerment
3010,16704,2020,South Africa,director,12,3882,0.00309119,8,250,250,empowerment
3011,16705,2021,South Africa,director,7,2553,0.002741872,8,250,250,empowerment
3012,16724,2010,South Africa,divorce,0,64,0.0,7,252,252,female stereotypes
3013,16725,2011,South Africa,divorce,1,239,0.0041841000000000005,7,252,252,female stereotypes
3014,16726,2012,South Africa,divorce,0,355,0.0,7,252,252,female stereotypes
3015,16727,2013,South Africa,divorce,0,402,0.0,7,252,252,female stereotypes
3016,16728,2014,South Africa,divorce,1,400,0.0025,7,252,252,female stereotypes
3017,16729,2015,South Africa,divorce,2,580,0.003448276,7,252,252,female stereotypes
3018,16730,2016,South Africa,divorce,1,1010,0.000990099,7,252,252,female stereotypes
3019,16731,2017,South Africa,divorce,2,2320,0.0008620689999999999,7,252,252,female stereotypes
3020,16732,2018,South Africa,divorce,5,3204,0.0015605489999999998,7,252,252,female stereotypes
3021,16733,2019,South Africa,divorce,4,3582,0.001116695,7,252,252,female stereotypes
3022,16734,2020,South Africa,divorce,9,3882,0.002318393,7,252,252,female stereotypes
3023,16735,2021,South Africa,divorce,7,2553,0.002741872,7,252,252,female stereotypes
3024,16739,2010,South Africa,dream,0,64,0.0,5,253,253,empowerment
3025,16740,2011,South Africa,dream,4,239,0.016736402,5,253,253,empowerment
3026,16741,2012,South Africa,dream,3,355,0.008450704,5,253,253,empowerment
3027,16742,2013,South Africa,dream,0,402,0.0,5,253,253,empowerment
3028,16743,2014,South Africa,dream,1,400,0.0025,5,253,253,empowerment
3029,16744,2015,South Africa,dream,2,580,0.003448276,5,253,253,empowerment
3030,16745,2016,South Africa,dream,8,1010,0.007920792,5,253,253,empowerment
3031,16746,2017,South Africa,dream,9,2320,0.00387931,5,253,253,empowerment
3032,16747,2018,South Africa,dream,17,3204,0.005305868,5,253,253,empowerment
3033,16748,2019,South Africa,dream,18,3582,0.005025126,5,253,253,empowerment
3034,16749,2020,South Africa,dream,17,3882,0.004379186,5,253,253,empowerment
3035,16750,2021,South Africa,dream,7,2553,0.002741872,5,253,253,empowerment
3036,16754,2010,South Africa,dress,0,64,0.0,5,254,254,female stereotypes
3037,16755,2011,South Africa,dress,1,239,0.0041841000000000005,5,254,254,female stereotypes
3038,16756,2012,South Africa,dress,0,355,0.0,5,254,254,female stereotypes
3039,16757,2013,South Africa,dress,1,402,0.002487562,5,254,254,female stereotypes
3040,16758,2014,South Africa,dress,1,400,0.0025,5,254,254,female stereotypes
3041,16759,2015,South Africa,dress,2,580,0.003448276,5,254,254,female stereotypes
3042,16760,2016,South Africa,dress,2,1010,0.001980198,5,254,254,female stereotypes
3043,16761,2017,South Africa,dress,9,2320,0.00387931,5,254,254,female stereotypes
3044,16762,2018,South Africa,dress,6,3204,0.001872659,5,254,254,female stereotypes
3045,16763,2019,South Africa,dress,12,3582,0.003350084,5,254,254,female stereotypes
3046,16764,2020,South Africa,dress,10,3882,0.002575992,5,254,254,female stereotypes
3047,16765,2021,South Africa,dress,7,2553,0.002741872,5,254,254,female stereotypes
3060,16934,2010,South Africa,nigerian,0,64,0.0,8,268,268,"race, ethnicity and identity"
3061,16935,2011,South Africa,nigerian,0,239,0.0,8,268,268,"race, ethnicity and identity"
3062,16936,2012,South Africa,nigerian,0,355,0.0,8,268,268,"race, ethnicity and identity"
3063,16937,2013,South Africa,nigerian,0,402,0.0,8,268,268,"race, ethnicity and identity"
3064,16938,2014,South Africa,nigerian,1,400,0.0025,8,268,268,"race, ethnicity and identity"
3065,16939,2015,South Africa,nigerian,1,580,0.0017241379999999998,8,268,268,"race, ethnicity and identity"
3066,16940,2016,South Africa,nigerian,6,1010,0.005940594,8,268,268,"race, ethnicity and identity"
3067,16941,2017,South Africa,nigerian,1,2320,0.000431034,8,268,268,"race, ethnicity and identity"
3068,16942,2018,South Africa,nigerian,5,3204,0.0015605489999999998,8,268,268,"race, ethnicity and identity"
3069,16943,2019,South Africa,nigerian,6,3582,0.001675042,8,268,268,"race, ethnicity and identity"
3070,16944,2020,South Africa,nigerian,3,3882,0.000772798,8,268,268,"race, ethnicity and identity"
3071,16945,2021,South Africa,nigerian,7,2553,0.002741872,8,268,268,"race, ethnicity and identity"
3072,17099,2010,South Africa,affair,0,64,0.0,6,282,282,female stereotypes
3073,17100,2011,South Africa,affair,0,239,0.0,6,282,282,female stereotypes
3074,17101,2012,South Africa,affair,1,355,0.002816901,6,282,282,female stereotypes
3075,17102,2013,South Africa,affair,1,402,0.002487562,6,282,282,female stereotypes
3076,17103,2014,South Africa,affair,0,400,0.0,6,282,282,female stereotypes
3077,17104,2015,South Africa,affair,0,580,0.0,6,282,282,female stereotypes
3078,17105,2016,South Africa,affair,1,1010,0.000990099,6,282,282,female stereotypes
3079,17106,2017,South Africa,affair,3,2320,0.001293103,6,282,282,female stereotypes
3080,17107,2018,South Africa,affair,6,3204,0.001872659,6,282,282,female stereotypes
3081,17108,2019,South Africa,affair,11,3582,0.00307091,6,282,282,female stereotypes
3082,17109,2020,South Africa,affair,10,3882,0.002575992,6,282,282,female stereotypes
3083,17110,2021,South Africa,affair,6,2553,0.0023501760000000003,6,282,282,female stereotypes
3096,17234,2010,South Africa,cry,0,64,0.0,3,292,292,female stereotypes
3097,17235,2011,South Africa,cry,2,239,0.008368201,3,292,292,female stereotypes
3098,17236,2012,South Africa,cry,3,355,0.008450704,3,292,292,female stereotypes
3099,17237,2013,South Africa,cry,1,402,0.002487562,3,292,292,female stereotypes
3100,17238,2014,South Africa,cry,2,400,0.005,3,292,292,female stereotypes
3101,17239,2015,South Africa,cry,0,580,0.0,3,292,292,female stereotypes
3102,17240,2016,South Africa,cry,3,1010,0.002970297,3,292,292,female stereotypes
3103,17241,2017,South Africa,cry,1,2320,0.000431034,3,292,292,female stereotypes
3104,17242,2018,South Africa,cry,9,3204,0.002808989,3,292,292,female stereotypes
3105,17243,2019,South Africa,cry,10,3582,0.002791736,3,292,292,female stereotypes
3106,17244,2020,South Africa,cry,12,3882,0.00309119,3,292,292,female stereotypes
3107,17245,2021,South Africa,cry,6,2553,0.0023501760000000003,3,292,292,female stereotypes
3108,17294,2010,South Africa,equality,0,64,0.0,8,298,298,empowerment
3109,17295,2011,South Africa,equality,0,239,0.0,8,298,298,empowerment
3110,17296,2012,South Africa,equality,0,355,0.0,8,298,298,empowerment
3111,17297,2013,South Africa,equality,2,402,0.004975124,8,298,298,empowerment
3112,17298,2014,South Africa,equality,2,400,0.005,8,298,298,empowerment
3113,17299,2015,South Africa,equality,1,580,0.0017241379999999998,8,298,298,empowerment
3114,17300,2016,South Africa,equality,0,1010,0.0,8,298,298,empowerment
3115,17301,2017,South Africa,equality,0,2320,0.0,8,298,298,empowerment
3116,17302,2018,South Africa,equality,2,3204,0.00062422,8,298,298,empowerment
3117,17303,2019,South Africa,equality,3,3582,0.000837521,8,298,298,empowerment
3118,17304,2020,South Africa,equality,2,3882,0.000515198,8,298,298,empowerment
3119,17305,2021,South Africa,equality,6,2553,0.0023501760000000003,8,298,298,empowerment
3120,17309,2010,South Africa,freedom,0,64,0.0,7,299,299,empowerment
3121,17310,2011,South Africa,freedom,1,239,0.0041841000000000005,7,299,299,empowerment
3122,17311,2012,South Africa,freedom,1,355,0.002816901,7,299,299,empowerment
3123,17312,2013,South Africa,freedom,0,402,0.0,7,299,299,empowerment
3124,17313,2014,South Africa,freedom,0,400,0.0,7,299,299,empowerment
3125,17314,2015,South Africa,freedom,0,580,0.0,7,299,299,empowerment
3126,17315,2016,South Africa,freedom,0,1010,0.0,7,299,299,empowerment
3127,17316,2017,South Africa,freedom,4,2320,0.0017241379999999998,7,299,299,empowerment
3128,17317,2018,South Africa,freedom,7,3204,0.002184769,7,299,299,empowerment
3129,17318,2019,South Africa,freedom,4,3582,0.001116695,7,299,299,empowerment
3130,17319,2020,South Africa,freedom,7,3882,0.001803194,7,299,299,empowerment
3131,17320,2021,South Africa,freedom,6,2553,0.0023501760000000003,7,299,299,empowerment
3132,17399,2010,South Africa,lawyer,0,64,0.0,6,306,306,empowerment
3133,17400,2011,South Africa,lawyer,0,239,0.0,6,306,306,empowerment
3134,17401,2012,South Africa,lawyer,0,355,0.0,6,306,306,empowerment
3135,17402,2013,South Africa,lawyer,3,402,0.007462687,6,306,306,empowerment
3136,17403,2014,South Africa,lawyer,2,400,0.005,6,306,306,empowerment
3137,17404,2015,South Africa,lawyer,0,580,0.0,6,306,306,empowerment
3138,17405,2016,South Africa,lawyer,3,1010,0.002970297,6,306,306,empowerment
3139,17406,2017,South Africa,lawyer,7,2320,0.003017241,6,306,306,empowerment
3140,17407,2018,South Africa,lawyer,3,3204,0.00093633,6,306,306,empowerment
3141,17408,2019,South Africa,lawyer,17,3582,0.004745952,6,306,306,empowerment
3142,17409,2020,South Africa,lawyer,18,3882,0.004636785,6,306,306,empowerment
3143,17410,2021,South Africa,lawyer,6,2553,0.0023501760000000003,6,306,306,empowerment
3144,17474,2010,South Africa,princess,0,64,0.0,8,313,313,female stereotypes
3145,17475,2011,South Africa,princess,2,239,0.008368201,8,313,313,female stereotypes
3146,17476,2012,South Africa,princess,0,355,0.0,8,313,313,female stereotypes
3147,17477,2013,South Africa,princess,0,402,0.0,8,313,313,female stereotypes
3148,17478,2014,South Africa,princess,0,400,0.0,8,313,313,female stereotypes
3149,17479,2015,South Africa,princess,0,580,0.0,8,313,313,female stereotypes
3150,17480,2016,South Africa,princess,1,1010,0.000990099,8,313,313,female stereotypes
3151,17481,2017,South Africa,princess,10,2320,0.004310345,8,313,313,female stereotypes
3152,17482,2018,South Africa,princess,6,3204,0.001872659,8,313,313,female stereotypes
3153,17483,2019,South Africa,princess,10,3582,0.002791736,8,313,313,female stereotypes
3154,17484,2020,South Africa,princess,7,3882,0.001803194,8,313,313,female stereotypes
3155,17485,2021,South Africa,princess,6,2553,0.0023501760000000003,8,313,313,female stereotypes
3156,17519,2010,South Africa,protest,0,64,0.0,7,316,316,empowerment
3157,17520,2011,South Africa,protest,0,239,0.0,7,316,316,empowerment
3158,17521,2012,South Africa,protest,1,355,0.002816901,7,316,316,empowerment
3159,17522,2013,South Africa,protest,0,402,0.0,7,316,316,empowerment
3160,17523,2014,South Africa,protest,1,400,0.0025,7,316,316,empowerment
3161,17524,2015,South Africa,protest,1,580,0.0017241379999999998,7,316,316,empowerment
3162,17525,2016,South Africa,protest,4,1010,0.003960396,7,316,316,empowerment
3163,17526,2017,South Africa,protest,3,2320,0.001293103,7,316,316,empowerment
3164,17527,2018,South Africa,protest,9,3204,0.002808989,7,316,316,empowerment
3165,17528,2019,South Africa,protest,20,3582,0.005583473,7,316,316,empowerment
3166,17529,2020,South Africa,protest,23,3882,0.005924781,7,316,316,empowerment
3167,17530,2021,South Africa,protest,6,2553,0.0023501760000000003,7,316,316,empowerment
3168,17684,2010,South Africa,blood,0,64,0.0,5,328,328,crime and violence
3169,17685,2011,South Africa,blood,0,239,0.0,5,328,328,crime and violence
3170,17686,2012,South Africa,blood,3,355,0.008450704,5,328,328,crime and violence
3171,17687,2013,South Africa,blood,3,402,0.007462687,5,328,328,crime and violence
3172,17688,2014,South Africa,blood,0,400,0.0,5,328,328,crime and violence
3173,17689,2015,South Africa,blood,1,580,0.0017241379999999998,5,328,328,crime and violence
3174,17690,2016,South Africa,blood,1,1010,0.000990099,5,328,328,crime and violence
3175,17691,2017,South Africa,blood,3,2320,0.001293103,5,328,328,crime and violence
3176,17692,2018,South Africa,blood,3,3204,0.00093633,5,328,328,crime and violence
3177,17693,2019,South Africa,blood,12,3582,0.003350084,5,328,328,crime and violence
3178,17694,2020,South Africa,blood,5,3882,0.001287996,5,328,328,crime and violence
3179,17695,2021,South Africa,blood,5,2553,0.00195848,5,328,328,crime and violence
3192,17834,2010,South Africa,entrepreneur,0,64,0.0,12,339,339,empowerment
3193,17835,2011,South Africa,entrepreneur,0,239,0.0,12,339,339,empowerment
3194,17836,2012,South Africa,entrepreneur,0,355,0.0,12,339,339,empowerment
3195,17837,2013,South Africa,entrepreneur,0,402,0.0,12,339,339,empowerment
3196,17838,2014,South Africa,entrepreneur,0,400,0.0,12,339,339,empowerment
3197,17839,2015,South Africa,entrepreneur,2,580,0.003448276,12,339,339,empowerment
3198,17840,2016,South Africa,entrepreneur,1,1010,0.000990099,12,339,339,empowerment
3199,17841,2017,South Africa,entrepreneur,5,2320,0.002155172,12,339,339,empowerment
3200,17842,2018,South Africa,entrepreneur,11,3204,0.003433208,12,339,339,empowerment
3201,17843,2019,South Africa,entrepreneur,9,3582,0.002512563,12,339,339,empowerment
3202,17844,2020,South Africa,entrepreneur,4,3882,0.001030397,12,339,339,empowerment
3203,17845,2021,South Africa,entrepreneur,5,2553,0.00195848,12,339,339,empowerment
3252,18164,2010,South Africa,single,0,64,0.0,6,373,373,female stereotypes
3253,18165,2011,South Africa,single,1,239,0.0041841000000000005,6,373,373,female stereotypes
3254,18166,2012,South Africa,single,3,355,0.008450704,6,373,373,female stereotypes
3255,18167,2013,South Africa,single,0,402,0.0,6,373,373,female stereotypes
3256,18168,2014,South Africa,single,0,400,0.0,6,373,373,female stereotypes
3257,18169,2015,South Africa,single,2,580,0.003448276,6,373,373,female stereotypes
3258,18170,2016,South Africa,single,2,1010,0.001980198,6,373,373,female stereotypes
3259,18171,2017,South Africa,single,10,2320,0.004310345,6,373,373,female stereotypes
3260,18172,2018,South Africa,single,10,3204,0.0031210990000000004,6,373,373,female stereotypes
3261,18173,2019,South Africa,single,15,3582,0.004187605,6,373,373,female stereotypes
3262,18174,2020,South Africa,single,3,3882,0.000772798,6,373,373,female stereotypes
3263,18175,2021,South Africa,single,5,2553,0.00195848,6,373,373,female stereotypes
3264,18239,2010,South Africa,testify,0,64,0.0,7,379,379,crime and violence
3265,18240,2011,South Africa,testify,1,239,0.0041841000000000005,7,379,379,crime and violence
3266,18241,2012,South Africa,testify,0,355,0.0,7,379,379,crime and violence
3267,18242,2013,South Africa,testify,0,402,0.0,7,379,379,crime and violence
3268,18243,2014,South Africa,testify,1,400,0.0025,7,379,379,crime and violence
3269,18244,2015,South Africa,testify,0,580,0.0,7,379,379,crime and violence
3270,18245,2016,South Africa,testify,1,1010,0.000990099,7,379,379,crime and violence
3271,18246,2017,South Africa,testify,9,2320,0.00387931,7,379,379,crime and violence
3272,18247,2018,South Africa,testify,10,3204,0.0031210990000000004,7,379,379,crime and violence
3273,18248,2019,South Africa,testify,12,3582,0.003350084,7,379,379,crime and violence
3274,18249,2020,South Africa,testify,0,3882,0.0,7,379,379,crime and violence
3275,18250,2021,South Africa,testify,5,2553,0.00195848,7,379,379,crime and violence
3276,18254,2010,South Africa,threaten,0,64,0.0,8,380,380,crime and violence
3277,18255,2011,South Africa,threaten,0,239,0.0,8,380,380,crime and violence
3278,18256,2012,South Africa,threaten,0,355,0.0,8,380,380,crime and violence
3279,18257,2013,South Africa,threaten,0,402,0.0,8,380,380,crime and violence
3280,18258,2014,South Africa,threaten,1,400,0.0025,8,380,380,crime and violence
3281,18259,2015,South Africa,threaten,2,580,0.003448276,8,380,380,crime and violence
3282,18260,2016,South Africa,threaten,3,1010,0.002970297,8,380,380,crime and violence
3283,18261,2017,South Africa,threaten,5,2320,0.002155172,8,380,380,crime and violence
3284,18262,2018,South Africa,threaten,5,3204,0.0015605489999999998,8,380,380,crime and violence
3285,18263,2019,South Africa,threaten,8,3582,0.002233389,8,380,380,crime and violence
3286,18264,2020,South Africa,threaten,13,3882,0.003348789,8,380,380,crime and violence
3287,18265,2021,South Africa,threaten,5,2553,0.00195848,8,380,380,crime and violence
3288,18269,2010,South Africa,trafficking,0,64,0.0,11,381,381,crime and violence
3289,18270,2011,South Africa,trafficking,0,239,0.0,11,381,381,crime and violence
3290,18271,2012,South Africa,trafficking,0,355,0.0,11,381,381,crime and violence
3291,18272,2013,South Africa,trafficking,1,402,0.002487562,11,381,381,crime and violence
3292,18273,2014,South Africa,trafficking,0,400,0.0,11,381,381,crime and violence
3293,18274,2015,South Africa,trafficking,1,580,0.0017241379999999998,11,381,381,crime and violence
3294,18275,2016,South Africa,trafficking,0,1010,0.0,11,381,381,crime and violence
3295,18276,2017,South Africa,trafficking,6,2320,0.002586207,11,381,381,crime and violence
3296,18277,2018,South Africa,trafficking,4,3204,0.0012484389999999998,11,381,381,crime and violence
3297,18278,2019,South Africa,trafficking,9,3582,0.002512563,11,381,381,crime and violence
3298,18279,2020,South Africa,trafficking,8,3882,0.002060793,11,381,381,crime and violence
3299,18280,2021,South Africa,trafficking,5,2553,0.00195848,11,381,381,crime and violence
3300,18329,2010,South Africa,white,0,64,0.0,5,385,385,"race, ethnicity and identity"
3301,18330,2011,South Africa,white,0,239,0.0,5,385,385,"race, ethnicity and identity"
3302,18331,2012,South Africa,white,5,355,0.014084507,5,385,385,"race, ethnicity and identity"
3303,18332,2013,South Africa,white,4,402,0.009950249,5,385,385,"race, ethnicity and identity"
3304,18333,2014,South Africa,white,2,400,0.005,5,385,385,"race, ethnicity and identity"
3305,18334,2015,South Africa,white,3,580,0.005172414,5,385,385,"race, ethnicity and identity"
3306,18335,2016,South Africa,white,2,1010,0.001980198,5,385,385,"race, ethnicity and identity"
3307,18336,2017,South Africa,white,9,2320,0.00387931,5,385,385,"race, ethnicity and identity"
3308,18337,2018,South Africa,white,17,3204,0.005305868,5,385,385,"race, ethnicity and identity"
3309,18338,2019,South Africa,white,17,3582,0.004745952,5,385,385,"race, ethnicity and identity"
3310,18339,2020,South Africa,white,13,3882,0.003348789,5,385,385,"race, ethnicity and identity"
3311,18340,2021,South Africa,white,5,2553,0.00195848,5,385,385,"race, ethnicity and identity"
3312,18464,2010,South Africa,church,0,64,0.0,6,396,396,"race, ethnicity and identity"
3313,18465,2011,South Africa,church,0,239,0.0,6,396,396,"race, ethnicity and identity"
3314,18466,2012,South Africa,church,1,355,0.002816901,6,396,396,"race, ethnicity and identity"
3315,18467,2013,South Africa,church,1,402,0.002487562,6,396,396,"race, ethnicity and identity"
3316,18468,2014,South Africa,church,0,400,0.0,6,396,396,"race, ethnicity and identity"
3317,18469,2015,South Africa,church,0,580,0.0,6,396,396,"race, ethnicity and identity"
3318,18470,2016,South Africa,church,2,1010,0.001980198,6,396,396,"race, ethnicity and identity"
3319,18471,2017,South Africa,church,5,2320,0.002155172,6,396,396,"race, ethnicity and identity"
3320,18472,2018,South Africa,church,12,3204,0.003745318,6,396,396,"race, ethnicity and identity"
3321,18473,2019,South Africa,church,29,3582,0.008096036,6,396,396,"race, ethnicity and identity"
3322,18474,2020,South Africa,church,10,3882,0.002575992,6,396,396,"race, ethnicity and identity"
3323,18475,2021,South Africa,church,4,2553,0.001566784,6,396,396,"race, ethnicity and identity"
3324,18509,2010,South Africa,drama,0,64,0.0,5,399,399,female stereotypes
3325,18510,2011,South Africa,drama,0,239,0.0,5,399,399,female stereotypes
3326,18511,2012,South Africa,drama,0,355,0.0,5,399,399,female stereotypes
3327,18512,2013,South Africa,drama,0,402,0.0,5,399,399,female stereotypes
3328,18513,2014,South Africa,drama,3,400,0.0075,5,399,399,female stereotypes
3329,18514,2015,South Africa,drama,0,580,0.0,5,399,399,female stereotypes
3330,18515,2016,South Africa,drama,2,1010,0.001980198,5,399,399,female stereotypes
3331,18516,2017,South Africa,drama,1,2320,0.000431034,5,399,399,female stereotypes
3332,18517,2018,South Africa,drama,5,3204,0.0015605489999999998,5,399,399,female stereotypes
3333,18518,2019,South Africa,drama,4,3582,0.001116695,5,399,399,female stereotypes
3334,18519,2020,South Africa,drama,1,3882,0.000257599,5,399,399,female stereotypes
3335,18520,2021,South Africa,drama,4,2553,0.001566784,5,399,399,female stereotypes
3360,18914,2010,South Africa,period,0,64,0.0,6,428,428,female stereotypes
3361,18915,2011,South Africa,period,0,239,0.0,6,428,428,female stereotypes
3362,18916,2012,South Africa,period,0,355,0.0,6,428,428,female stereotypes
3363,18917,2013,South Africa,period,0,402,0.0,6,428,428,female stereotypes
3364,18918,2014,South Africa,period,0,400,0.0,6,428,428,female stereotypes
3365,18919,2015,South Africa,period,0,580,0.0,6,428,428,female stereotypes
3366,18920,2016,South Africa,period,1,1010,0.000990099,6,428,428,female stereotypes
3367,18921,2017,South Africa,period,2,2320,0.0008620689999999999,6,428,428,female stereotypes
3368,18922,2018,South Africa,period,1,3204,0.00031211,6,428,428,female stereotypes
3369,18923,2019,South Africa,period,0,3582,0.0,6,428,428,female stereotypes
3370,18924,2020,South Africa,period,1,3882,0.000257599,6,428,428,female stereotypes
3371,18925,2021,South Africa,period,4,2553,0.001566784,6,428,428,female stereotypes
3372,18944,2010,South Africa,pilot,0,64,0.0,5,430,430,empowerment
3373,18945,2011,South Africa,pilot,0,239,0.0,5,430,430,empowerment
3374,18946,2012,South Africa,pilot,0,355,0.0,5,430,430,empowerment
3375,18947,2013,South Africa,pilot,1,402,0.002487562,5,430,430,empowerment
3376,18948,2014,South Africa,pilot,0,400,0.0,5,430,430,empowerment
3377,18949,2015,South Africa,pilot,2,580,0.003448276,5,430,430,empowerment
3378,18950,2016,South Africa,pilot,2,1010,0.001980198,5,430,430,empowerment
3379,18951,2017,South Africa,pilot,3,2320,0.001293103,5,430,430,empowerment
3380,18952,2018,South Africa,pilot,4,3204,0.0012484389999999998,5,430,430,empowerment
3381,18953,2019,South Africa,pilot,10,3582,0.002791736,5,430,430,empowerment
3382,18954,2020,South Africa,pilot,5,3882,0.001287996,5,430,430,empowerment
3383,18955,2021,South Africa,pilot,4,2553,0.001566784,5,430,430,empowerment
3396,19229,2010,South Africa,artist,0,64,0.0,6,455,455,empowerment
3397,19230,2011,South Africa,artist,0,239,0.0,6,455,455,empowerment
3398,19231,2012,South Africa,artist,1,355,0.002816901,6,455,455,empowerment
3399,19232,2013,South Africa,artist,0,402,0.0,6,455,455,empowerment
3400,19233,2014,South Africa,artist,1,400,0.0025,6,455,455,empowerment
3401,19234,2015,South Africa,artist,2,580,0.003448276,6,455,455,empowerment
3402,19235,2016,South Africa,artist,2,1010,0.001980198,6,455,455,empowerment
3403,19236,2017,South Africa,artist,10,2320,0.004310345,6,455,455,empowerment
3404,19237,2018,South Africa,artist,11,3204,0.003433208,6,455,455,empowerment
3405,19238,2019,South Africa,artist,13,3582,0.003629257,6,455,455,empowerment
3406,19239,2020,South Africa,artist,12,3882,0.00309119,6,455,455,empowerment
3407,19240,2021,South Africa,artist,3,2553,0.001175088,6,455,455,empowerment
3408,19244,2010,South Africa,athlete,0,64,0.0,7,456,456,empowerment
3409,19245,2011,South Africa,athlete,0,239,0.0,7,456,456,empowerment
3410,19246,2012,South Africa,athlete,1,355,0.002816901,7,456,456,empowerment
3411,19247,2013,South Africa,athlete,0,402,0.0,7,456,456,empowerment
3412,19248,2014,South Africa,athlete,0,400,0.0,7,456,456,empowerment
3413,19249,2015,South Africa,athlete,0,580,0.0,7,456,456,empowerment
3414,19250,2016,South Africa,athlete,0,1010,0.0,7,456,456,empowerment
3415,19251,2017,South Africa,athlete,4,2320,0.0017241379999999998,7,456,456,empowerment
3416,19252,2018,South Africa,athlete,5,3204,0.0015605489999999998,7,456,456,empowerment
3417,19253,2019,South Africa,athlete,6,3582,0.001675042,7,456,456,empowerment
3418,19254,2020,South Africa,athlete,3,3882,0.000772798,7,456,456,empowerment
3419,19255,2021,South Africa,athlete,3,2553,0.001175088,7,456,456,empowerment
3420,19274,2010,South Africa,beauty,0,64,0.0,6,458,458,female stereotypes
3421,19275,2011,South Africa,beauty,0,239,0.0,6,458,458,female stereotypes
3422,19276,2012,South Africa,beauty,1,355,0.002816901,6,458,458,female stereotypes
3423,19277,2013,South Africa,beauty,1,402,0.002487562,6,458,458,female stereotypes
3424,19278,2014,South Africa,beauty,0,400,0.0,6,458,458,female stereotypes
3425,19279,2015,South Africa,beauty,1,580,0.0017241379999999998,6,458,458,female stereotypes
3426,19280,2016,South Africa,beauty,0,1010,0.0,6,458,458,female stereotypes
3427,19281,2017,South Africa,beauty,7,2320,0.003017241,6,458,458,female stereotypes
3428,19282,2018,South Africa,beauty,14,3204,0.004369538,6,458,458,female stereotypes
3429,19283,2019,South Africa,beauty,15,3582,0.004187605,6,458,458,female stereotypes
3430,19284,2020,South Africa,beauty,14,3882,0.003606388,6,458,458,female stereotypes
3431,19285,2021,South Africa,beauty,3,2553,0.001175088,6,458,458,female stereotypes
3432,19304,2010,South Africa,chinese,0,64,0.0,7,460,460,"race, ethnicity and identity"
3433,19305,2011,South Africa,chinese,0,239,0.0,7,460,460,"race, ethnicity and identity"
3434,19306,2012,South Africa,chinese,1,355,0.002816901,7,460,460,"race, ethnicity and identity"
3435,19307,2013,South Africa,chinese,3,402,0.007462687,7,460,460,"race, ethnicity and identity"
3436,19308,2014,South Africa,chinese,0,400,0.0,7,460,460,"race, ethnicity and identity"
3437,19309,2015,South Africa,chinese,1,580,0.0017241379999999998,7,460,460,"race, ethnicity and identity"
3438,19310,2016,South Africa,chinese,2,1010,0.001980198,7,460,460,"race, ethnicity and identity"
3439,19311,2017,South Africa,chinese,3,2320,0.001293103,7,460,460,"race, ethnicity and identity"
3440,19312,2018,South Africa,chinese,1,3204,0.00031211,7,460,460,"race, ethnicity and identity"
3441,19313,2019,South Africa,chinese,4,3582,0.001116695,7,460,460,"race, ethnicity and identity"
3442,19314,2020,South Africa,chinese,3,3882,0.000772798,7,460,460,"race, ethnicity and identity"
3443,19315,2021,South Africa,chinese,3,2553,0.001175088,7,460,460,"race, ethnicity and identity"
3444,19484,2010,South Africa,hate,0,64,0.0,4,476,476,crime and violence
3445,19485,2011,South Africa,hate,0,239,0.0,4,476,476,crime and violence
3446,19486,2012,South Africa,hate,0,355,0.0,4,476,476,crime and violence
3447,19487,2013,South Africa,hate,2,402,0.004975124,4,476,476,crime and violence
3448,19488,2014,South Africa,hate,0,400,0.0,4,476,476,crime and violence
3449,19489,2015,South Africa,hate,5,580,0.00862069,4,476,476,crime and violence
3450,19490,2016,South Africa,hate,1,1010,0.000990099,4,476,476,crime and violence
3451,19491,2017,South Africa,hate,5,2320,0.002155172,4,476,476,crime and violence
3452,19492,2018,South Africa,hate,8,3204,0.002496879,4,476,476,crime and violence
3453,19493,2019,South Africa,hate,4,3582,0.001116695,4,476,476,crime and violence
3454,19494,2020,South Africa,hate,10,3882,0.002575992,4,476,476,crime and violence
3455,19495,2021,South Africa,hate,3,2553,0.001175088,4,476,476,crime and violence
3468,19574,2010,South Africa,investigate,0,64,0.0,11,482,482,crime and violence
3469,19575,2011,South Africa,investigate,0,239,0.0,11,482,482,crime and violence
3470,19576,2012,South Africa,investigate,0,355,0.0,11,482,482,crime and violence
3471,19577,2013,South Africa,investigate,1,402,0.002487562,11,482,482,crime and violence
3472,19578,2014,South Africa,investigate,2,400,0.005,11,482,482,crime and violence
3473,19579,2015,South Africa,investigate,1,580,0.0017241379999999998,11,482,482,crime and violence
3474,19580,2016,South Africa,investigate,2,1010,0.001980198,11,482,482,crime and violence
3475,19581,2017,South Africa,investigate,4,2320,0.0017241379999999998,11,482,482,crime and violence
3476,19582,2018,South Africa,investigate,3,3204,0.00093633,11,482,482,crime and violence
3477,19583,2019,South Africa,investigate,8,3582,0.002233389,11,482,482,crime and violence
3478,19584,2020,South Africa,investigate,10,3882,0.002575992,11,482,482,crime and violence
3479,19585,2021,South Africa,investigate,3,2553,0.001175088,11,482,482,crime and violence
3480,19664,2010,South Africa,kiss,0,64,0.0,4,488,488,female stereotypes
3481,19665,2011,South Africa,kiss,0,239,0.0,4,488,488,female stereotypes
3482,19666,2012,South Africa,kiss,1,355,0.002816901,4,488,488,female stereotypes
3483,19667,2013,South Africa,kiss,0,402,0.0,4,488,488,female stereotypes
3484,19668,2014,South Africa,kiss,0,400,0.0,4,488,488,female stereotypes
3485,19669,2015,South Africa,kiss,0,580,0.0,4,488,488,female stereotypes
3486,19670,2016,South Africa,kiss,1,1010,0.000990099,4,488,488,female stereotypes
3487,19671,2017,South Africa,kiss,3,2320,0.001293103,4,488,488,female stereotypes
3488,19672,2018,South Africa,kiss,5,3204,0.0015605489999999998,4,488,488,female stereotypes
3489,19673,2019,South Africa,kiss,4,3582,0.001116695,4,488,488,female stereotypes
3490,19674,2020,South Africa,kiss,3,3882,0.000772798,4,488,488,female stereotypes
3491,19675,2021,South Africa,kiss,3,2553,0.001175088,4,488,488,female stereotypes
3492,19709,2010,South Africa,muslim,0,64,0.0,6,494,494,"race, ethnicity and identity"
3493,19710,2011,South Africa,muslim,0,239,0.0,6,494,494,"race, ethnicity and identity"
3494,19711,2012,South Africa,muslim,1,355,0.002816901,6,494,494,"race, ethnicity and identity"
3495,19712,2013,South Africa,muslim,0,402,0.0,6,494,494,"race, ethnicity and identity"
3496,19713,2014,South Africa,muslim,1,400,0.0025,6,494,494,"race, ethnicity and identity"
3497,19714,2015,South Africa,muslim,1,580,0.0017241379999999998,6,494,494,"race, ethnicity and identity"
3498,19715,2016,South Africa,muslim,3,1010,0.002970297,6,494,494,"race, ethnicity and identity"
3499,19716,2017,South Africa,muslim,1,2320,0.000431034,6,494,494,"race, ethnicity and identity"
3500,19717,2018,South Africa,muslim,9,3204,0.002808989,6,494,494,"race, ethnicity and identity"
3501,19718,2019,South Africa,muslim,3,3582,0.000837521,6,494,494,"race, ethnicity and identity"
3502,19719,2020,South Africa,muslim,1,3882,0.000257599,6,494,494,"race, ethnicity and identity"
3503,19720,2021,South Africa,muslim,3,2553,0.001175088,6,494,494,"race, ethnicity and identity"
3516,19844,2010,South Africa,security,0,64,0.0,8,504,504,crime and violence
3517,19845,2011,South Africa,security,0,239,0.0,8,504,504,crime and violence
3518,19846,2012,South Africa,security,0,355,0.0,8,504,504,crime and violence
3519,19847,2013,South Africa,security,0,402,0.0,8,504,504,crime and violence
3520,19848,2014,South Africa,security,0,400,0.0,8,504,504,crime and violence
3521,19849,2015,South Africa,security,0,580,0.0,8,504,504,crime and violence
3522,19850,2016,South Africa,security,3,1010,0.002970297,8,504,504,crime and violence
3523,19851,2017,South Africa,security,8,2320,0.003448276,8,504,504,crime and violence
3524,19852,2018,South Africa,security,7,3204,0.002184769,8,504,504,crime and violence
3525,19853,2019,South Africa,security,7,3582,0.001954216,8,504,504,crime and violence
3526,19854,2020,South Africa,security,15,3882,0.003863988,8,504,504,crime and violence
3527,19855,2021,South Africa,security,3,2553,0.001175088,8,504,504,crime and violence
3528,19949,2010,South Africa,strong,0,64,0.0,6,513,513,empowerment
3529,19950,2011,South Africa,strong,0,239,0.0,6,513,513,empowerment
3530,19951,2012,South Africa,strong,2,355,0.005633803000000001,6,513,513,empowerment
3531,19952,2013,South Africa,strong,3,402,0.007462687,6,513,513,empowerment
3532,19953,2014,South Africa,strong,1,400,0.0025,6,513,513,empowerment
3533,19954,2015,South Africa,strong,1,580,0.0017241379999999998,6,513,513,empowerment
3534,19955,2016,South Africa,strong,2,1010,0.001980198,6,513,513,empowerment
3535,19956,2017,South Africa,strong,6,2320,0.002586207,6,513,513,empowerment
3536,19957,2018,South Africa,strong,7,3204,0.002184769,6,513,513,empowerment
3537,19958,2019,South Africa,strong,5,3582,0.001395868,6,513,513,empowerment
3538,19959,2020,South Africa,strong,5,3882,0.001287996,6,513,513,empowerment
3539,19960,2021,South Africa,strong,3,2553,0.001175088,6,513,513,empowerment
3540,19964,2010,South Africa,success,0,64,0.0,7,514,514,empowerment
3541,19965,2011,South Africa,success,0,239,0.0,7,514,514,empowerment
3542,19966,2012,South Africa,success,0,355,0.0,7,514,514,empowerment
3543,19967,2013,South Africa,success,1,402,0.002487562,7,514,514,empowerment
3544,19968,2014,South Africa,success,1,400,0.0025,7,514,514,empowerment
3545,19969,2015,South Africa,success,0,580,0.0,7,514,514,empowerment
3546,19970,2016,South Africa,success,1,1010,0.000990099,7,514,514,empowerment
3547,19971,2017,South Africa,success,8,2320,0.003448276,7,514,514,empowerment
3548,19972,2018,South Africa,success,11,3204,0.003433208,7,514,514,empowerment
3549,19973,2019,South Africa,success,4,3582,0.001116695,7,514,514,empowerment
3550,19974,2020,South Africa,success,5,3882,0.001287996,7,514,514,empowerment
3551,19975,2021,South Africa,success,3,2553,0.001175088,7,514,514,empowerment
3576,20114,2010,South Africa,abortion,0,64,0.0,8,526,526,empowerment
3577,20115,2011,South Africa,abortion,0,239,0.0,8,526,526,empowerment
3578,20116,2012,South Africa,abortion,0,355,0.0,8,526,526,empowerment
3579,20117,2013,South Africa,abortion,0,402,0.0,8,526,526,empowerment
3580,20118,2014,South Africa,abortion,1,400,0.0025,8,526,526,empowerment
3581,20119,2015,South Africa,abortion,0,580,0.0,8,526,526,empowerment
3582,20120,2016,South Africa,abortion,2,1010,0.001980198,8,526,526,empowerment
3583,20121,2017,South Africa,abortion,1,2320,0.000431034,8,526,526,empowerment
3584,20122,2018,South Africa,abortion,5,3204,0.0015605489999999998,8,526,526,empowerment
3585,20123,2019,South Africa,abortion,4,3582,0.001116695,8,526,526,empowerment
3586,20124,2020,South Africa,abortion,1,3882,0.000257599,8,526,526,empowerment
3587,20125,2021,South Africa,abortion,2,2553,0.0007833919999999999,8,526,526,empowerment
3612,20414,2010,South Africa,fighter,0,64,0.0,7,555,555,empowerment
3613,20415,2011,South Africa,fighter,0,239,0.0,7,555,555,empowerment
3614,20416,2012,South Africa,fighter,1,355,0.002816901,7,555,555,empowerment
3615,20417,2013,South Africa,fighter,2,402,0.004975124,7,555,555,empowerment
3616,20418,2014,South Africa,fighter,0,400,0.0,7,555,555,empowerment
3617,20419,2015,South Africa,fighter,0,580,0.0,7,555,555,empowerment
3618,20420,2016,South Africa,fighter,1,1010,0.000990099,7,555,555,empowerment
3619,20421,2017,South Africa,fighter,3,2320,0.001293103,7,555,555,empowerment
3620,20422,2018,South Africa,fighter,2,3204,0.00062422,7,555,555,empowerment
3621,20423,2019,South Africa,fighter,7,3582,0.001954216,7,555,555,empowerment
3622,20424,2020,South Africa,fighter,2,3882,0.000515198,7,555,555,empowerment
3623,20425,2021,South Africa,fighter,2,2553,0.0007833919999999999,7,555,555,empowerment
3624,20429,2010,South Africa,founder,0,64,0.0,7,556,556,empowerment
3625,20430,2011,South Africa,founder,0,239,0.0,7,556,556,empowerment
3626,20431,2012,South Africa,founder,0,355,0.0,7,556,556,empowerment
3627,20432,2013,South Africa,founder,0,402,0.0,7,556,556,empowerment
3628,20433,2014,South Africa,founder,0,400,0.0,7,556,556,empowerment
3629,20434,2015,South Africa,founder,0,580,0.0,7,556,556,empowerment
3630,20435,2016,South Africa,founder,0,1010,0.0,7,556,556,empowerment
3631,20436,2017,South Africa,founder,1,2320,0.000431034,7,556,556,empowerment
3632,20437,2018,South Africa,founder,0,3204,0.0,7,556,556,empowerment
3633,20438,2019,South Africa,founder,1,3582,0.00027917400000000003,7,556,556,empowerment
3634,20439,2020,South Africa,founder,1,3882,0.000257599,7,556,556,empowerment
3635,20440,2021,South Africa,founder,2,2553,0.0007833919999999999,7,556,556,empowerment
3636,20564,2010,South Africa,knife,0,64,0.0,5,568,568,crime and violence
3637,20565,2011,South Africa,knife,0,239,0.0,5,568,568,crime and violence
3638,20566,2012,South Africa,knife,1,355,0.002816901,5,568,568,crime and violence
3639,20567,2013,South Africa,knife,0,402,0.0,5,568,568,crime and violence
3640,20568,2014,South Africa,knife,0,400,0.0,5,568,568,crime and violence
3641,20569,2015,South Africa,knife,0,580,0.0,5,568,568,crime and violence
3642,20570,2016,South Africa,knife,1,1010,0.000990099,5,568,568,crime and violence
3643,20571,2017,South Africa,knife,2,2320,0.0008620689999999999,5,568,568,crime and violence
3644,20572,2018,South Africa,knife,0,3204,0.0,5,568,568,crime and violence
3645,20573,2019,South Africa,knife,3,3582,0.000837521,5,568,568,crime and violence
3646,20574,2020,South Africa,knife,6,3882,0.001545595,5,568,568,crime and violence
3647,20575,2021,South Africa,knife,2,2553,0.0007833919999999999,5,568,568,crime and violence
3648,20744,2010,South Africa,racist,0,64,0.0,6,584,584,crime and violence
3649,20745,2011,South Africa,racist,0,239,0.0,6,584,584,crime and violence
3650,20746,2012,South Africa,racist,1,355,0.002816901,6,584,584,crime and violence
3651,20747,2013,South Africa,racist,1,402,0.002487562,6,584,584,crime and violence
3652,20748,2014,South Africa,racist,0,400,0.0,6,584,584,crime and violence
3653,20749,2015,South Africa,racist,1,580,0.0017241379999999998,6,584,584,crime and violence
3654,20750,2016,South Africa,racist,4,1010,0.003960396,6,584,584,crime and violence
3655,20751,2017,South Africa,racist,1,2320,0.000431034,6,584,584,crime and violence
3656,20752,2018,South Africa,racist,7,3204,0.002184769,6,584,584,crime and violence
3657,20753,2019,South Africa,racist,13,3582,0.003629257,6,584,584,crime and violence
3658,20754,2020,South Africa,racist,12,3882,0.00309119,6,584,584,crime and violence
3659,20755,2021,South Africa,racist,2,2553,0.0007833919999999999,6,584,584,crime and violence
3672,21089,2010,South Africa,weight,0,64,0.0,6,611,611,female stereotypes
3673,21090,2011,South Africa,weight,0,239,0.0,6,611,611,female stereotypes
3674,21091,2012,South Africa,weight,1,355,0.002816901,6,611,611,female stereotypes
3675,21092,2013,South Africa,weight,0,402,0.0,6,611,611,female stereotypes
3676,21093,2014,South Africa,weight,0,400,0.0,6,611,611,female stereotypes
3677,21094,2015,South Africa,weight,2,580,0.003448276,6,611,611,female stereotypes
3678,21095,2016,South Africa,weight,0,1010,0.0,6,611,611,female stereotypes
3679,21096,2017,South Africa,weight,5,2320,0.002155172,6,611,611,female stereotypes
3680,21097,2018,South Africa,weight,8,3204,0.002496879,6,611,611,female stereotypes
3681,21098,2019,South Africa,weight,2,3582,0.0005583469999999999,6,611,611,female stereotypes
3682,21099,2020,South Africa,weight,4,3882,0.001030397,6,611,611,female stereotypes
3683,21100,2021,South Africa,weight,2,2553,0.0007833919999999999,6,611,611,female stereotypes
3684,21149,2010,South Africa,worth,0,64,0.0,5,615,615,empowerment
3685,21150,2011,South Africa,worth,0,239,0.0,5,615,615,empowerment
3686,21151,2012,South Africa,worth,0,355,0.0,5,615,615,empowerment
3687,21152,2013,South Africa,worth,0,402,0.0,5,615,615,empowerment
3688,21153,2014,South Africa,worth,0,400,0.0,5,615,615,empowerment
3689,21154,2015,South Africa,worth,2,580,0.003448276,5,615,615,empowerment
3690,21155,2016,South Africa,worth,6,1010,0.005940594,5,615,615,empowerment
3691,21156,2017,South Africa,worth,1,2320,0.000431034,5,615,615,empowerment
3692,21157,2018,South Africa,worth,4,3204,0.0012484389999999998,5,615,615,empowerment
3693,21158,2019,South Africa,worth,7,3582,0.001954216,5,615,615,empowerment
3694,21159,2020,South Africa,worth,14,3882,0.003606388,5,615,615,empowerment
3695,21160,2021,South Africa,worth,2,2553,0.0007833919999999999,5,615,615,empowerment
3696,21194,2010,South Africa,abduct,0,64,0.0,6,619,619,crime and violence
3697,21195,2011,South Africa,abduct,0,239,0.0,6,619,619,crime and violence
3698,21196,2012,South Africa,abduct,0,355,0.0,6,619,619,crime and violence
3699,21197,2013,South Africa,abduct,0,402,0.0,6,619,619,crime and violence
3700,21198,2014,South Africa,abduct,0,400,0.0,6,619,619,crime and violence
3701,21199,2015,South Africa,abduct,1,580,0.0017241379999999998,6,619,619,crime and violence
3702,21200,2016,South Africa,abduct,4,1010,0.003960396,6,619,619,crime and violence
3703,21201,2017,South Africa,abduct,6,2320,0.002586207,6,619,619,crime and violence
3704,21202,2018,South Africa,abduct,3,3204,0.00093633,6,619,619,crime and violence
3705,21203,2019,South Africa,abduct,9,3582,0.002512563,6,619,619,crime and violence
3706,21204,2020,South Africa,abduct,9,3882,0.002318393,6,619,619,crime and violence
3707,21205,2021,South Africa,abduct,1,2553,0.000391696,6,619,619,crime and violence
3708,21254,2010,South Africa,author,0,64,0.0,6,625,625,empowerment
3709,21255,2011,South Africa,author,0,239,0.0,6,625,625,empowerment
3710,21256,2012,South Africa,author,0,355,0.0,6,625,625,empowerment
3711,21257,2013,South Africa,author,1,402,0.002487562,6,625,625,empowerment
3712,21258,2014,South Africa,author,0,400,0.0,6,625,625,empowerment
3713,21259,2015,South Africa,author,0,580,0.0,6,625,625,empowerment
3714,21260,2016,South Africa,author,0,1010,0.0,6,625,625,empowerment
3715,21261,2017,South Africa,author,2,2320,0.0008620689999999999,6,625,625,empowerment
3716,21262,2018,South Africa,author,2,3204,0.00062422,6,625,625,empowerment
3717,21263,2019,South Africa,author,4,3582,0.001116695,6,625,625,empowerment
3718,21264,2020,South Africa,author,3,3882,0.000772798,6,625,625,empowerment
3719,21265,2021,South Africa,author,1,2553,0.000391696,6,625,625,empowerment
3732,21464,2010,South Africa,fat,0,64,0.0,3,644,644,female stereotypes
3733,21465,2011,South Africa,fat,0,239,0.0,3,644,644,female stereotypes
3734,21466,2012,South Africa,fat,0,355,0.0,3,644,644,female stereotypes
3735,21467,2013,South Africa,fat,0,402,0.0,3,644,644,female stereotypes
3736,21468,2014,South Africa,fat,5,400,0.0125,3,644,644,female stereotypes
3737,21469,2015,South Africa,fat,0,580,0.0,3,644,644,female stereotypes
3738,21470,2016,South Africa,fat,1,1010,0.000990099,3,644,644,female stereotypes
3739,21471,2017,South Africa,fat,4,2320,0.0017241379999999998,3,644,644,female stereotypes
3740,21472,2018,South Africa,fat,3,3204,0.00093633,3,644,644,female stereotypes
3741,21473,2019,South Africa,fat,1,3582,0.00027917400000000003,3,644,644,female stereotypes
3742,21474,2020,South Africa,fat,3,3882,0.000772798,3,644,644,female stereotypes
3743,21475,2021,South Africa,fat,1,2553,0.000391696,3,644,644,female stereotypes
3744,21554,2010,South Africa,gay,0,64,0.0,3,652,652,"race, ethnicity and identity"
3745,21555,2011,South Africa,gay,0,239,0.0,3,652,652,"race, ethnicity and identity"
3746,21556,2012,South Africa,gay,0,355,0.0,3,652,652,"race, ethnicity and identity"
3747,21557,2013,South Africa,gay,1,402,0.002487562,3,652,652,"race, ethnicity and identity"
3748,21558,2014,South Africa,gay,0,400,0.0,3,652,652,"race, ethnicity and identity"
3749,21559,2015,South Africa,gay,0,580,0.0,3,652,652,"race, ethnicity and identity"
3750,21560,2016,South Africa,gay,2,1010,0.001980198,3,652,652,"race, ethnicity and identity"
3751,21561,2017,South Africa,gay,2,2320,0.0008620689999999999,3,652,652,"race, ethnicity and identity"
3752,21562,2018,South Africa,gay,4,3204,0.0012484389999999998,3,652,652,"race, ethnicity and identity"
3753,21563,2019,South Africa,gay,4,3582,0.001116695,3,652,652,"race, ethnicity and identity"
3754,21564,2020,South Africa,gay,0,3882,0.0,3,652,652,"race, ethnicity and identity"
3755,21565,2021,South Africa,gay,1,2553,0.000391696,3,652,652,"race, ethnicity and identity"
3756,21569,2010,South Africa,gossip,0,64,0.0,6,653,653,female stereotypes
3757,21570,2011,South Africa,gossip,0,239,0.0,6,653,653,female stereotypes
3758,21571,2012,South Africa,gossip,1,355,0.002816901,6,653,653,female stereotypes
3759,21572,2013,South Africa,gossip,0,402,0.0,6,653,653,female stereotypes
3760,21573,2014,South Africa,gossip,0,400,0.0,6,653,653,female stereotypes
3761,21574,2015,South Africa,gossip,0,580,0.0,6,653,653,female stereotypes
3762,21575,2016,South Africa,gossip,0,1010,0.0,6,653,653,female stereotypes
3763,21576,2017,South Africa,gossip,0,2320,0.0,6,653,653,female stereotypes
3764,21577,2018,South Africa,gossip,0,3204,0.0,6,653,653,female stereotypes
3765,21578,2019,South Africa,gossip,2,3582,0.0005583469999999999,6,653,653,female stereotypes
3766,21579,2020,South Africa,gossip,3,3882,0.000772798,6,653,653,female stereotypes
3767,21580,2021,South Africa,gossip,1,2553,0.000391696,6,653,653,female stereotypes
3768,21599,2010,South Africa,harass,0,64,0.0,6,655,655,crime and violence
3769,21600,2011,South Africa,harass,0,239,0.0,6,655,655,crime and violence
3770,21601,2012,South Africa,harass,0,355,0.0,6,655,655,crime and violence
3771,21602,2013,South Africa,harass,0,402,0.0,6,655,655,crime and violence
3772,21603,2014,South Africa,harass,0,400,0.0,6,655,655,crime and violence
3773,21604,2015,South Africa,harass,1,580,0.0017241379999999998,6,655,655,crime and violence
3774,21605,2016,South Africa,harass,0,1010,0.0,6,655,655,crime and violence
3775,21606,2017,South Africa,harass,1,2320,0.000431034,6,655,655,crime and violence
3776,21607,2018,South Africa,harass,1,3204,0.00031211,6,655,655,crime and violence
3777,21608,2019,South Africa,harass,2,3582,0.0005583469999999999,6,655,655,crime and violence
3778,21609,2020,South Africa,harass,6,3882,0.001545595,6,655,655,crime and violence
3779,21610,2021,South Africa,harass,1,2553,0.000391696,6,655,655,crime and violence
3804,21779,2010,South Africa,makeup,0,64,0.0,6,671,671,female stereotypes
3805,21780,2011,South Africa,makeup,0,239,0.0,6,671,671,female stereotypes
3806,21781,2012,South Africa,makeup,0,355,0.0,6,671,671,female stereotypes
3807,21782,2013,South Africa,makeup,0,402,0.0,6,671,671,female stereotypes
3808,21783,2014,South Africa,makeup,0,400,0.0,6,671,671,female stereotypes
3809,21784,2015,South Africa,makeup,0,580,0.0,6,671,671,female stereotypes
3810,21785,2016,South Africa,makeup,0,1010,0.0,6,671,671,female stereotypes
3811,21786,2017,South Africa,makeup,1,2320,0.000431034,6,671,671,female stereotypes
3812,21787,2018,South Africa,makeup,2,3204,0.00062422,6,671,671,female stereotypes
3813,21788,2019,South Africa,makeup,4,3582,0.001116695,6,671,671,female stereotypes
3814,21789,2020,South Africa,makeup,3,3882,0.000772798,6,671,671,female stereotypes
3815,21790,2021,South Africa,makeup,1,2553,0.000391696,6,671,671,female stereotypes
3816,21809,2010,South Africa,metoo,0,64,0.0,5,673,673,empowerment
3817,21810,2011,South Africa,metoo,0,239,0.0,5,673,673,empowerment
3818,21811,2012,South Africa,metoo,0,355,0.0,5,673,673,empowerment
3819,21812,2013,South Africa,metoo,0,402,0.0,5,673,673,empowerment
3820,21813,2014,South Africa,metoo,0,400,0.0,5,673,673,empowerment
3821,21814,2015,South Africa,metoo,0,580,0.0,5,673,673,empowerment
3822,21815,2016,South Africa,metoo,0,1010,0.0,5,673,673,empowerment
3823,21816,2017,South Africa,metoo,3,2320,0.001293103,5,673,673,empowerment
3824,21817,2018,South Africa,metoo,1,3204,0.00031211,5,673,673,empowerment
3825,21818,2019,South Africa,metoo,1,3582,0.00027917400000000003,5,673,673,empowerment
3826,21819,2020,South Africa,metoo,2,3882,0.000515198,5,673,673,empowerment
3827,21820,2021,South Africa,metoo,1,2553,0.000391696,5,673,673,empowerment
3828,21884,2010,South Africa,molest,0,64,0.0,6,679,679,crime and violence
3829,21885,2011,South Africa,molest,0,239,0.0,6,679,679,crime and violence
3830,21886,2012,South Africa,molest,0,355,0.0,6,679,679,crime and violence
3831,21887,2013,South Africa,molest,0,402,0.0,6,679,679,crime and violence
3832,21888,2014,South Africa,molest,0,400,0.0,6,679,679,crime and violence
3833,21889,2015,South Africa,molest,0,580,0.0,6,679,679,crime and violence
3834,21890,2016,South Africa,molest,0,1010,0.0,6,679,679,crime and violence
3835,21891,2017,South Africa,molest,1,2320,0.000431034,6,679,679,crime and violence
3836,21892,2018,South Africa,molest,1,3204,0.00031211,6,679,679,crime and violence
3837,21893,2019,South Africa,molest,0,3582,0.0,6,679,679,crime and violence
3838,21894,2020,South Africa,molest,0,3882,0.0,6,679,679,crime and violence
3839,21895,2021,South Africa,molest,1,2553,0.000391696,6,679,679,crime and violence
3840,21944,2010,South Africa,oscar,0,64,0.0,5,683,683,empowerment
3841,21945,2011,South Africa,oscar,0,239,0.0,5,683,683,empowerment
3842,21946,2012,South Africa,oscar,0,355,0.0,5,683,683,empowerment
3843,21947,2013,South Africa,oscar,1,402,0.002487562,5,683,683,empowerment
3844,21948,2014,South Africa,oscar,6,400,0.015,5,683,683,empowerment
3845,21949,2015,South Africa,oscar,3,580,0.005172414,5,683,683,empowerment
3846,21950,2016,South Africa,oscar,4,1010,0.003960396,5,683,683,empowerment
3847,21951,2017,South Africa,oscar,3,2320,0.001293103,5,683,683,empowerment
3848,21952,2018,South Africa,oscar,5,3204,0.0015605489999999998,5,683,683,empowerment
3849,21953,2019,South Africa,oscar,3,3582,0.000837521,5,683,683,empowerment
3850,21954,2020,South Africa,oscar,5,3882,0.001287996,5,683,683,empowerment
3851,21955,2021,South Africa,oscar,1,2553,0.000391696,5,683,683,empowerment
3852,22004,2010,South Africa,pink,0,64,0.0,4,687,687,female stereotypes
3853,22005,2011,South Africa,pink,1,239,0.0041841000000000005,4,687,687,female stereotypes
3854,22006,2012,South Africa,pink,0,355,0.0,4,687,687,female stereotypes
3855,22007,2013,South Africa,pink,0,402,0.0,4,687,687,female stereotypes
3856,22008,2014,South Africa,pink,0,400,0.0,4,687,687,female stereotypes
3857,22009,2015,South Africa,pink,0,580,0.0,4,687,687,female stereotypes
3858,22010,2016,South Africa,pink,3,1010,0.002970297,4,687,687,female stereotypes
3859,22011,2017,South Africa,pink,4,2320,0.0017241379999999998,4,687,687,female stereotypes
3860,22012,2018,South Africa,pink,5,3204,0.0015605489999999998,4,687,687,female stereotypes
3861,22013,2019,South Africa,pink,2,3582,0.0005583469999999999,4,687,687,female stereotypes
3862,22014,2020,South Africa,pink,1,3882,0.000257599,4,687,687,female stereotypes
3863,22015,2021,South Africa,pink,1,2553,0.000391696,4,687,687,female stereotypes
3876,22109,2010,South Africa,relationship,0,64,0.0,12,696,696,female stereotypes
3877,22110,2011,South Africa,relationship,0,239,0.0,12,696,696,female stereotypes
3878,22111,2012,South Africa,relationship,0,355,0.0,12,696,696,female stereotypes
3879,22112,2013,South Africa,relationship,0,402,0.0,12,696,696,female stereotypes
3880,22113,2014,South Africa,relationship,0,400,0.0,12,696,696,female stereotypes
3881,22114,2015,South Africa,relationship,0,580,0.0,12,696,696,female stereotypes
3882,22115,2016,South Africa,relationship,8,1010,0.007920792,12,696,696,female stereotypes
3883,22116,2017,South Africa,relationship,5,2320,0.002155172,12,696,696,female stereotypes
3884,22117,2018,South Africa,relationship,3,3204,0.00093633,12,696,696,female stereotypes
3885,22118,2019,South Africa,relationship,9,3582,0.002512563,12,696,696,female stereotypes
3886,22119,2020,South Africa,relationship,5,3882,0.001287996,12,696,696,female stereotypes
3887,22120,2021,South Africa,relationship,1,2553,0.000391696,12,696,696,female stereotypes
3888,22154,2010,South Africa,saudi,0,64,0.0,5,700,700,"race, ethnicity and identity"
3889,22155,2011,South Africa,saudi,1,239,0.0041841000000000005,5,700,700,"race, ethnicity and identity"
3890,22156,2012,South Africa,saudi,2,355,0.005633803000000001,5,700,700,"race, ethnicity and identity"
3891,22157,2013,South Africa,saudi,1,402,0.002487562,5,700,700,"race, ethnicity and identity"
3892,22158,2014,South Africa,saudi,0,400,0.0,5,700,700,"race, ethnicity and identity"
3893,22159,2015,South Africa,saudi,0,580,0.0,5,700,700,"race, ethnicity and identity"
3894,22160,2016,South Africa,saudi,1,1010,0.000990099,5,700,700,"race, ethnicity and identity"
3895,22161,2017,South Africa,saudi,2,2320,0.0008620689999999999,5,700,700,"race, ethnicity and identity"
3896,22162,2018,South Africa,saudi,9,3204,0.002808989,5,700,700,"race, ethnicity and identity"
3897,22163,2019,South Africa,saudi,6,3582,0.001675042,5,700,700,"race, ethnicity and identity"
3898,22164,2020,South Africa,saudi,0,3882,0.0,5,700,700,"race, ethnicity and identity"
3899,22165,2021,South Africa,saudi,1,2553,0.000391696,5,700,700,"race, ethnicity and identity"
3900,22184,2010,South Africa,shame,0,64,0.0,5,703,703,female stereotypes
3901,22185,2011,South Africa,shame,0,239,0.0,5,703,703,female stereotypes
3902,22186,2012,South Africa,shame,1,355,0.002816901,5,703,703,female stereotypes
3903,22187,2013,South Africa,shame,0,402,0.0,5,703,703,female stereotypes
3904,22188,2014,South Africa,shame,0,400,0.0,5,703,703,female stereotypes
3905,22189,2015,South Africa,shame,0,580,0.0,5,703,703,female stereotypes
3906,22190,2016,South Africa,shame,1,1010,0.000990099,5,703,703,female stereotypes
3907,22191,2017,South Africa,shame,4,2320,0.0017241379999999998,5,703,703,female stereotypes
3908,22192,2018,South Africa,shame,5,3204,0.0015605489999999998,5,703,703,female stereotypes
3909,22193,2019,South Africa,shame,3,3582,0.000837521,5,703,703,female stereotypes
3910,22194,2020,South Africa,shame,8,3882,0.002060793,5,703,703,female stereotypes
3911,22195,2021,South Africa,shame,1,2553,0.000391696,5,703,703,female stereotypes
3912,22364,2010,South Africa,vagina,0,64,0.0,6,717,717,female stereotypes
3913,22365,2011,South Africa,vagina,0,239,0.0,6,717,717,female stereotypes
3914,22366,2012,South Africa,vagina,0,355,0.0,6,717,717,female stereotypes
3915,22367,2013,South Africa,vagina,2,402,0.004975124,6,717,717,female stereotypes
3916,22368,2014,South Africa,vagina,2,400,0.005,6,717,717,female stereotypes
3917,22369,2015,South Africa,vagina,1,580,0.0017241379999999998,6,717,717,female stereotypes
3918,22370,2016,South Africa,vagina,2,1010,0.001980198,6,717,717,female stereotypes
3919,22371,2017,South Africa,vagina,1,2320,0.000431034,6,717,717,female stereotypes
3920,22372,2018,South Africa,vagina,3,3204,0.00093633,6,717,717,female stereotypes
3921,22373,2019,South Africa,vagina,1,3582,0.00027917400000000003,6,717,717,female stereotypes
3922,22374,2020,South Africa,vagina,0,3882,0.0,6,717,717,female stereotypes
3923,22375,2021,South Africa,vagina,1,2553,0.000391696,6,717,717,female stereotypes
3924,22424,2010,South Africa,first,1,64,0.015625,5,722,722,empowerment
3925,22425,2011,South Africa,first,7,239,0.029288703,5,722,722,empowerment
3926,22426,2012,South Africa,first,8,355,0.022535211,5,722,722,empowerment
3927,22427,2013,South Africa,first,6,402,0.014925373,5,722,722,empowerment
3928,22428,2014,South Africa,first,11,400,0.0275,5,722,722,empowerment
3929,22429,2015,South Africa,first,19,580,0.032758621,5,722,722,empowerment
3930,22430,2016,South Africa,first,25,1010,0.024752475,5,722,722,empowerment
3931,22431,2017,South Africa,first,84,2320,0.036206897,5,722,722,empowerment
3932,22432,2018,South Africa,first,138,3204,0.043071161,5,722,722,empowerment
3933,22433,2019,South Africa,first,105,3582,0.029313233,5,722,722,empowerment
3934,22434,2020,South Africa,first,134,3882,0.03451829,5,722,722,empowerment
3935,22435,2021,South Africa,first,87,2553,0.034077556,5,722,722,empowerment
3948,22484,2010,South Africa,child,1,64,0.015625,5,726,726,female stereotypes
3949,22485,2011,South Africa,child,4,239,0.016736402,5,726,726,female stereotypes
3950,22486,2012,South Africa,child,4,355,0.011267606,5,726,726,female stereotypes
3951,22487,2013,South Africa,child,5,402,0.012437811000000002,5,726,726,female stereotypes
3952,22488,2014,South Africa,child,7,400,0.0175,5,726,726,female stereotypes
3953,22489,2015,South Africa,child,11,580,0.018965517,5,726,726,female stereotypes
3954,22490,2016,South Africa,child,23,1010,0.022772277,5,726,726,female stereotypes
3955,22491,2017,South Africa,child,64,2320,0.027586207,5,726,726,female stereotypes
3956,22492,2018,South Africa,child,84,3204,0.026217228,5,726,726,female stereotypes
3957,22493,2019,South Africa,child,131,3582,0.036571748,5,726,726,female stereotypes
3958,22494,2020,South Africa,child,125,3882,0.032199897000000005,5,726,726,female stereotypes
3959,22495,2021,South Africa,child,54,2553,0.021151586,5,726,726,female stereotypes
3960,22499,2010,South Africa,daughter,1,64,0.015625,8,727,727,female stereotypes
3961,22500,2011,South Africa,daughter,3,239,0.012552301,8,727,727,female stereotypes
3962,22501,2012,South Africa,daughter,2,355,0.005633803000000001,8,727,727,female stereotypes
3963,22502,2013,South Africa,daughter,7,402,0.017412935,8,727,727,female stereotypes
3964,22503,2014,South Africa,daughter,2,400,0.005,8,727,727,female stereotypes
3965,22504,2015,South Africa,daughter,8,580,0.013793103,8,727,727,female stereotypes
3966,22505,2016,South Africa,daughter,11,1010,0.010891089,8,727,727,female stereotypes
3967,22506,2017,South Africa,daughter,35,2320,0.015086207,8,727,727,female stereotypes
3968,22507,2018,South Africa,daughter,57,3204,0.017790262,8,727,727,female stereotypes
3969,22508,2019,South Africa,daughter,70,3582,0.019542155,8,727,727,female stereotypes
3970,22509,2020,South Africa,daughter,73,3882,0.01880474,8,727,727,female stereotypes
3971,22510,2021,South Africa,daughter,51,2553,0.019976498,8,727,727,female stereotypes
3972,22514,2010,South Africa,mom,1,64,0.015625,3,728,728,female stereotypes
3973,22515,2011,South Africa,mom,6,239,0.025104603,3,728,728,female stereotypes
3974,22516,2012,South Africa,mom,4,355,0.011267606,3,728,728,female stereotypes
3975,22517,2013,South Africa,mom,7,402,0.017412935,3,728,728,female stereotypes
3976,22518,2014,South Africa,mom,1,400,0.0025,3,728,728,female stereotypes
3977,22519,2015,South Africa,mom,7,580,0.012068966,3,728,728,female stereotypes
3978,22520,2016,South Africa,mom,17,1010,0.016831683,3,728,728,female stereotypes
3979,22521,2017,South Africa,mom,46,2320,0.019827586,3,728,728,female stereotypes
3980,22522,2018,South Africa,mom,82,3204,0.025593009,3,728,728,female stereotypes
3981,22523,2019,South Africa,mom,120,3582,0.033500838,3,728,728,female stereotypes
3982,22524,2020,South Africa,mom,99,3882,0.025502318,3,728,728,female stereotypes
3983,22525,2021,South Africa,mom,51,2553,0.019976498,3,728,728,female stereotypes
3996,22544,2010,South Africa,death,2,64,0.03125,5,730,730,crime and violence
3997,22545,2011,South Africa,death,4,239,0.016736402,5,730,730,crime and violence
3998,22546,2012,South Africa,death,7,355,0.01971831,5,730,730,crime and violence
3999,22547,2013,South Africa,death,8,402,0.019900498,5,730,730,crime and violence
4000,22548,2014,South Africa,death,9,400,0.0225,5,730,730,crime and violence
4001,22549,2015,South Africa,death,17,580,0.029310345,5,730,730,crime and violence
4002,22550,2016,South Africa,death,26,1010,0.025742574,5,730,730,crime and violence
4003,22551,2017,South Africa,death,49,2320,0.02112069,5,730,730,crime and violence
4004,22552,2018,South Africa,death,86,3204,0.026841448,5,730,730,crime and violence
4005,22553,2019,South Africa,death,120,3582,0.033500838,5,730,730,crime and violence
4006,22554,2020,South Africa,death,113,3882,0.029108707,5,730,730,crime and violence
4007,22555,2021,South Africa,death,92,2553,0.036036036,5,730,730,crime and violence
4032,22619,2010,South Africa,rape,4,64,0.0625,4,737,737,crime and violence
4033,22620,2011,South Africa,rape,11,239,0.046025105,4,737,737,crime and violence
4034,22621,2012,South Africa,rape,15,355,0.042253521,4,737,737,crime and violence
4035,22622,2013,South Africa,rape,21,402,0.052238806,4,737,737,crime and violence
4036,22623,2014,South Africa,rape,18,400,0.045,4,737,737,crime and violence
4037,22624,2015,South Africa,rape,25,580,0.043103448,4,737,737,crime and violence
4038,22625,2016,South Africa,rape,38,1010,0.037623762000000005,4,737,737,crime and violence
4039,22626,2017,South Africa,rape,84,2320,0.036206897,4,737,737,crime and violence
4040,22627,2018,South Africa,rape,93,3204,0.029026217000000007,4,737,737,crime and violence
4041,22628,2019,South Africa,rape,170,3582,0.04745952,4,737,737,crime and violence
4042,22629,2020,South Africa,rape,206,3882,0.05306543,4,737,737,crime and violence
4043,22630,2021,South Africa,rape,112,2553,0.043869957,4,737,737,crime and violence
4056,22664,2010,South Africa,killer,1,64,0.015625,6,740,740,crime and violence
4057,22665,2011,South Africa,killer,3,239,0.012552301,6,740,740,crime and violence
4058,22666,2012,South Africa,killer,2,355,0.005633803000000001,6,740,740,crime and violence
4059,22667,2013,South Africa,killer,3,402,0.007462687,6,740,740,crime and violence
4060,22668,2014,South Africa,killer,5,400,0.0125,6,740,740,crime and violence
4061,22669,2015,South Africa,killer,3,580,0.005172414,6,740,740,crime and violence
4062,22670,2016,South Africa,killer,7,1010,0.006930693000000001,6,740,740,crime and violence
4063,22671,2017,South Africa,killer,19,2320,0.008189655,6,740,740,crime and violence
4064,22672,2018,South Africa,killer,30,3204,0.009363296,6,740,740,crime and violence
4065,22673,2019,South Africa,killer,33,3582,0.00921273,6,740,740,crime and violence
4066,22674,2020,South Africa,killer,21,3882,0.005409583000000001,6,740,740,crime and violence
4067,22675,2021,South Africa,killer,26,2553,0.010184097,6,740,740,crime and violence
4068,22694,2010,South Africa,sex,1,64,0.015625,3,742,742,female stereotypes
4069,22695,2011,South Africa,sex,5,239,0.020920502,3,742,742,female stereotypes
4070,22696,2012,South Africa,sex,7,355,0.01971831,3,742,742,female stereotypes
4071,22697,2013,South Africa,sex,7,402,0.017412935,3,742,742,female stereotypes
4072,22698,2014,South Africa,sex,10,400,0.025,3,742,742,female stereotypes
4073,22699,2015,South Africa,sex,8,580,0.013793103,3,742,742,female stereotypes
4074,22700,2016,South Africa,sex,17,1010,0.016831683,3,742,742,female stereotypes
4075,22701,2017,South Africa,sex,29,2320,0.0125,3,742,742,female stereotypes
4076,22702,2018,South Africa,sex,22,3204,0.006866417,3,742,742,female stereotypes
4077,22703,2019,South Africa,sex,45,3582,0.012562814,3,742,742,female stereotypes
4078,22704,2020,South Africa,sex,22,3882,0.005667182,3,742,742,female stereotypes
4079,22705,2021,South Africa,sex,23,2553,0.009009009,3,742,742,female stereotypes
4092,22724,2010,South Africa,victim,1,64,0.015625,6,744,744,female stereotypes
4093,22725,2011,South Africa,victim,0,239,0.0,6,744,744,female stereotypes
4094,22726,2012,South Africa,victim,3,355,0.008450704,6,744,744,female stereotypes
4095,22727,2013,South Africa,victim,7,402,0.017412935,6,744,744,female stereotypes
4096,22728,2014,South Africa,victim,1,400,0.0025,6,744,744,female stereotypes
4097,22729,2015,South Africa,victim,8,580,0.013793103,6,744,744,female stereotypes
4098,22730,2016,South Africa,victim,5,1010,0.004950495,6,744,744,female stereotypes
4099,22731,2017,South Africa,victim,25,2320,0.010775862,6,744,744,female stereotypes
4100,22732,2018,South Africa,victim,17,3204,0.005305868,6,744,744,female stereotypes
4101,22733,2019,South Africa,victim,25,3582,0.006979341,6,744,744,female stereotypes
4102,22734,2020,South Africa,victim,22,3882,0.005667182,6,744,744,female stereotypes
4103,22735,2021,South Africa,victim,21,2553,0.008225617,6,744,744,female stereotypes
4104,22769,2010,South Africa,violence,1,64,0.015625,8,747,747,crime and violence
4105,22770,2011,South Africa,violence,0,239,0.0,8,747,747,crime and violence
4106,22771,2012,South Africa,violence,0,355,0.0,8,747,747,crime and violence
4107,22772,2013,South Africa,violence,2,402,0.004975124,8,747,747,crime and violence
4108,22773,2014,South Africa,violence,0,400,0.0,8,747,747,crime and violence
4109,22774,2015,South Africa,violence,1,580,0.0017241379999999998,8,747,747,crime and violence
4110,22775,2016,South Africa,violence,2,1010,0.001980198,8,747,747,crime and violence
4111,22776,2017,South Africa,violence,22,2320,0.009482759,8,747,747,crime and violence
4112,22777,2018,South Africa,violence,23,3204,0.007178527,8,747,747,crime and violence
4113,22778,2019,South Africa,violence,42,3582,0.011725293,8,747,747,crime and violence
4114,22779,2020,South Africa,violence,39,3882,0.010046368,8,747,747,crime and violence
4115,22780,2021,South Africa,violence,18,2553,0.007050529,8,747,747,crime and violence
4128,22829,2010,South Africa,love,2,128,0.015625,4,752,754,female stereotypes
4129,22830,2011,South Africa,love,3,478,0.006276151,4,752,754,female stereotypes
4130,22831,2012,South Africa,love,9,710,0.012676056000000002,4,752,754,female stereotypes
4131,22832,2013,South Africa,love,11,804,0.013681592,4,752,754,female stereotypes
4132,22833,2014,South Africa,love,5,800,0.00625,4,752,754,female stereotypes
4133,22834,2015,South Africa,love,6,1160,0.005172414,4,752,754,female stereotypes
4134,22835,2016,South Africa,love,12,2020,0.005940594,4,752,754,female stereotypes
4135,22836,2017,South Africa,love,33,4640,0.007112069,4,752,754,female stereotypes
4136,22837,2018,South Africa,love,52,6408,0.008114856,4,752,754,female stereotypes
4137,22838,2019,South Africa,love,44,7164,0.00614182,4,752,754,female stereotypes
4138,22839,2020,South Africa,love,34,7764,0.004379186,4,752,754,female stereotypes
4139,22840,2021,South Africa,love,26,5106,0.005092049,4,752,754,female stereotypes
4140,22859,2010,South Africa,girlfriend,1,64,0.015625,10,754,753,female stereotypes
4141,22860,2011,South Africa,girlfriend,0,239,0.0,10,754,753,female stereotypes
4142,22861,2012,South Africa,girlfriend,0,355,0.0,10,754,753,female stereotypes
4143,22862,2013,South Africa,girlfriend,0,402,0.0,10,754,753,female stereotypes
4144,22863,2014,South Africa,girlfriend,1,400,0.0025,10,754,753,female stereotypes
4145,22864,2015,South Africa,girlfriend,6,580,0.010344828,10,754,753,female stereotypes
4146,22865,2016,South Africa,girlfriend,3,1010,0.002970297,10,754,753,female stereotypes
4147,22866,2017,South Africa,girlfriend,7,2320,0.003017241,10,754,753,female stereotypes
4148,22867,2018,South Africa,girlfriend,12,3204,0.003745318,10,754,753,female stereotypes
4149,22868,2019,South Africa,girlfriend,12,3582,0.003350084,10,754,753,female stereotypes
4150,22869,2020,South Africa,girlfriend,26,3882,0.006697579,10,754,753,female stereotypes
4151,22870,2021,South Africa,girlfriend,13,2553,0.005092049,10,754,753,female stereotypes
4152,22874,2010,South Africa,force,1,64,0.015625,5,755,755,crime and violence
4153,22875,2011,South Africa,force,0,239,0.0,5,755,755,crime and violence
4154,22876,2012,South Africa,force,2,355,0.005633803000000001,5,755,755,crime and violence
4155,22877,2013,South Africa,force,1,402,0.002487562,5,755,755,crime and violence
4156,22878,2014,South Africa,force,2,400,0.005,5,755,755,crime and violence
4157,22879,2015,South Africa,force,0,580,0.0,5,755,755,crime and violence
4158,22880,2016,South Africa,force,3,1010,0.002970297,5,755,755,crime and violence
4159,22881,2017,South Africa,force,10,2320,0.004310345,5,755,755,crime and violence
4160,22882,2018,South Africa,force,23,3204,0.007178527,5,755,755,crime and violence
4161,22883,2019,South Africa,force,25,3582,0.006979341,5,755,755,crime and violence
4162,22884,2020,South Africa,force,23,3882,0.005924781,5,755,755,crime and violence
4163,22885,2021,South Africa,force,12,2553,0.004700353,5,755,755,crime and violence
4176,22934,2010,South Africa,mayor,1,64,0.015625,5,759,759,empowerment
4177,22935,2011,South Africa,mayor,0,239,0.0,5,759,759,empowerment
4178,22936,2012,South Africa,mayor,0,355,0.0,5,759,759,empowerment
4179,22937,2013,South Africa,mayor,1,402,0.002487562,5,759,759,empowerment
4180,22938,2014,South Africa,mayor,1,400,0.0025,5,759,759,empowerment
4181,22939,2015,South Africa,mayor,0,580,0.0,5,759,759,empowerment
4182,22940,2016,South Africa,mayor,6,1010,0.005940594,5,759,759,empowerment
4183,22941,2017,South Africa,mayor,3,2320,0.001293103,5,759,759,empowerment
4184,22942,2018,South Africa,mayor,7,3204,0.002184769,5,759,759,empowerment
4185,22943,2019,South Africa,mayor,11,3582,0.00307091,5,759,759,empowerment
4186,22944,2020,South Africa,mayor,1,3882,0.000257599,5,759,759,empowerment
4187,22945,2021,South Africa,mayor,8,2553,0.003133568,5,759,759,empowerment
4224,23159,2010,South Africa,famous,1,64,0.015625,6,776,776,empowerment
4225,23160,2011,South Africa,famous,0,239,0.0,6,776,776,empowerment
4226,23161,2012,South Africa,famous,0,355,0.0,6,776,776,empowerment
4227,23162,2013,South Africa,famous,1,402,0.002487562,6,776,776,empowerment
4228,23163,2014,South Africa,famous,0,400,0.0,6,776,776,empowerment
4229,23164,2015,South Africa,famous,0,580,0.0,6,776,776,empowerment
4230,23165,2016,South Africa,famous,0,1010,0.0,6,776,776,empowerment
4231,23166,2017,South Africa,famous,0,2320,0.0,6,776,776,empowerment
4232,23167,2018,South Africa,famous,4,3204,0.0012484389999999998,6,776,776,empowerment
4233,23168,2019,South Africa,famous,3,3582,0.000837521,6,776,776,empowerment
4234,23169,2020,South Africa,famous,1,3882,0.000257599,6,776,776,empowerment
4235,23170,2021,South Africa,famous,4,2553,0.001566784,6,776,776,empowerment
4236,23189,2010,South Africa,beautiful,1,64,0.015625,9,778,778,female stereotypes
4237,23190,2011,South Africa,beautiful,2,239,0.008368201,9,778,778,female stereotypes
4238,23191,2012,South Africa,beautiful,0,355,0.0,9,778,778,female stereotypes
4239,23192,2013,South Africa,beautiful,2,402,0.004975124,9,778,778,female stereotypes
4240,23193,2014,South Africa,beautiful,1,400,0.0025,9,778,778,female stereotypes
4241,23194,2015,South Africa,beautiful,3,580,0.005172414,9,778,778,female stereotypes
4242,23195,2016,South Africa,beautiful,0,1010,0.0,9,778,778,female stereotypes
4243,23196,2017,South Africa,beautiful,2,2320,0.0008620689999999999,9,778,778,female stereotypes
4244,23197,2018,South Africa,beautiful,7,3204,0.002184769,9,778,778,female stereotypes
4245,23198,2019,South Africa,beautiful,6,3582,0.001675042,9,778,778,female stereotypes
4246,23199,2020,South Africa,beautiful,2,3882,0.000515198,9,778,778,female stereotypes
4247,23200,2021,South Africa,beautiful,3,2553,0.001175088,9,778,778,female stereotypes
4260,23234,2010,South Africa,breast,1,64,0.015625,6,781,781,female stereotypes
4261,23235,2011,South Africa,breast,1,239,0.0041841000000000005,6,781,781,female stereotypes
4262,23236,2012,South Africa,breast,0,355,0.0,6,781,781,female stereotypes
4263,23237,2013,South Africa,breast,1,402,0.002487562,6,781,781,female stereotypes
4264,23238,2014,South Africa,breast,1,400,0.0025,6,781,781,female stereotypes
4265,23239,2015,South Africa,breast,2,580,0.003448276,6,781,781,female stereotypes
4266,23240,2016,South Africa,breast,1,1010,0.000990099,6,781,781,female stereotypes
4267,23241,2017,South Africa,breast,1,2320,0.000431034,6,781,781,female stereotypes
4268,23242,2018,South Africa,breast,5,3204,0.0015605489999999998,6,781,781,female stereotypes
4269,23243,2019,South Africa,breast,7,3582,0.001954216,6,781,781,female stereotypes
4270,23244,2020,South Africa,breast,5,3882,0.001287996,6,781,781,female stereotypes
4271,23245,2021,South Africa,breast,1,2553,0.000391696,6,781,781,female stereotypes
4272,23249,2010,South Africa,feminist,1,64,0.015625,8,782,782,empowerment
4273,23250,2011,South Africa,feminist,0,239,0.0,8,782,782,empowerment
4274,23251,2012,South Africa,feminist,1,355,0.002816901,8,782,782,empowerment
4275,23252,2013,South Africa,feminist,0,402,0.0,8,782,782,empowerment
4276,23253,2014,South Africa,feminist,0,400,0.0,8,782,782,empowerment
4277,23254,2015,South Africa,feminist,2,580,0.003448276,8,782,782,empowerment
4278,23255,2016,South Africa,feminist,1,1010,0.000990099,8,782,782,empowerment
4279,23256,2017,South Africa,feminist,1,2320,0.000431034,8,782,782,empowerment
4280,23257,2018,South Africa,feminist,4,3204,0.0012484389999999998,8,782,782,empowerment
4281,23258,2019,South Africa,feminist,3,3582,0.000837521,8,782,782,empowerment
4282,23259,2020,South Africa,feminist,1,3882,0.000257599,8,782,782,empowerment
4283,23260,2021,South Africa,feminist,1,2553,0.000391696,8,782,782,empowerment
4284,23294,2010,South Africa,sexy,1,64,0.015625,4,785,785,female stereotypes
4285,23295,2011,South Africa,sexy,1,239,0.0041841000000000005,4,785,785,female stereotypes
4286,23296,2012,South Africa,sexy,1,355,0.002816901,4,785,785,female stereotypes
4287,23297,2013,South Africa,sexy,3,402,0.007462687,4,785,785,female stereotypes
4288,23298,2014,South Africa,sexy,2,400,0.005,4,785,785,female stereotypes
4289,23299,2015,South Africa,sexy,2,580,0.003448276,4,785,785,female stereotypes
4290,23300,2016,South Africa,sexy,1,1010,0.000990099,4,785,785,female stereotypes
4291,23301,2017,South Africa,sexy,6,2320,0.002586207,4,785,785,female stereotypes
4292,23302,2018,South Africa,sexy,1,3204,0.00031211,4,785,785,female stereotypes
4293,23303,2019,South Africa,sexy,5,3582,0.001395868,4,785,785,female stereotypes
4294,23304,2020,South Africa,sexy,2,3882,0.000515198,4,785,785,female stereotypes
4295,23305,2021,South Africa,sexy,1,2553,0.000391696,4,785,785,female stereotypes
4296,23759,2010,South Africa,dalit,0,64,0.0,5,821,821,"race, ethnicity and identity"
4297,23760,2011,South Africa,dalit,0,239,0.0,5,821,821,"race, ethnicity and identity"
4298,23761,2012,South Africa,dalit,0,355,0.0,5,821,821,"race, ethnicity and identity"
4299,23762,2013,South Africa,dalit,0,402,0.0,5,821,821,"race, ethnicity and identity"
4300,23763,2014,South Africa,dalit,0,400,0.0,5,821,821,"race, ethnicity and identity"
4301,23764,2015,South Africa,dalit,0,580,0.0,5,821,821,"race, ethnicity and identity"
4302,23765,2016,South Africa,dalit,0,1010,0.0,5,821,821,"race, ethnicity and identity"
4303,23766,2017,South Africa,dalit,0,2320,0.0,5,821,821,"race, ethnicity and identity"
4304,23767,2018,South Africa,dalit,0,3204,0.0,5,821,821,"race, ethnicity and identity"
4305,23768,2019,South Africa,dalit,0,3582,0.0,5,821,821,"race, ethnicity and identity"
4306,23769,2020,South Africa,dalit,0,3882,0.0,5,821,821,"race, ethnicity and identity"
4307,23770,2021,South Africa,dalit,0,2553,0.0,5,821,821,"race, ethnicity and identity"
4308,23819,2010,South Africa,elect,0,64,0.0,5,826,826,empowerment
4309,23820,2011,South Africa,elect,0,239,0.0,5,826,826,empowerment
4310,23821,2012,South Africa,elect,0,355,0.0,5,826,826,empowerment
4311,23822,2013,South Africa,elect,0,402,0.0,5,826,826,empowerment
4312,23823,2014,South Africa,elect,0,400,0.0,5,826,826,empowerment
4313,23824,2015,South Africa,elect,0,580,0.0,5,826,826,empowerment
4314,23825,2016,South Africa,elect,1,1010,0.000990099,5,826,826,empowerment
4315,23826,2017,South Africa,elect,1,2320,0.000431034,5,826,826,empowerment
4316,23827,2018,South Africa,elect,13,3204,0.004057428,5,826,826,empowerment
4317,23828,2019,South Africa,elect,2,3582,0.0005583469999999999,5,826,826,empowerment
4318,23829,2020,South Africa,elect,1,3882,0.000257599,5,826,826,empowerment
4319,23830,2021,South Africa,elect,0,2553,0.0,5,826,826,empowerment
4332,23879,2010,South Africa,gangrape,0,64,0.0,8,830,830,crime and violence
4333,23880,2011,South Africa,gangrape,0,239,0.0,8,830,830,crime and violence
4334,23881,2012,South Africa,gangrape,0,355,0.0,8,830,830,crime and violence
4335,23882,2013,South Africa,gangrape,0,402,0.0,8,830,830,crime and violence
4336,23883,2014,South Africa,gangrape,0,400,0.0,8,830,830,crime and violence
4337,23884,2015,South Africa,gangrape,0,580,0.0,8,830,830,crime and violence
4338,23885,2016,South Africa,gangrape,0,1010,0.0,8,830,830,crime and violence
4339,23886,2017,South Africa,gangrape,0,2320,0.0,8,830,830,crime and violence
4340,23887,2018,South Africa,gangrape,0,3204,0.0,8,830,830,crime and violence
4341,23888,2019,South Africa,gangrape,0,3582,0.0,8,830,830,crime and violence
4342,23889,2020,South Africa,gangrape,0,3882,0.0,8,830,830,crime and violence
4343,23890,2021,South Africa,gangrape,0,2553,0.0,8,830,830,crime and violence
4344,23954,2010,South Africa,grope,0,64,0.0,5,837,837,crime and violence
4345,23955,2011,South Africa,grope,1,239,0.0041841000000000005,5,837,837,crime and violence
4346,23956,2012,South Africa,grope,0,355,0.0,5,837,837,crime and violence
4347,23957,2013,South Africa,grope,0,402,0.0,5,837,837,crime and violence
4348,23958,2014,South Africa,grope,0,400,0.0,5,837,837,crime and violence
4349,23959,2015,South Africa,grope,0,580,0.0,5,837,837,crime and violence
4350,23960,2016,South Africa,grope,0,1010,0.0,5,837,837,crime and violence
4351,23961,2017,South Africa,grope,0,2320,0.0,5,837,837,crime and violence
4352,23962,2018,South Africa,grope,0,3204,0.0,5,837,837,crime and violence
4353,23963,2019,South Africa,grope,0,3582,0.0,5,837,837,crime and violence
4354,23964,2020,South Africa,grope,0,3882,0.0,5,837,837,crime and violence
4355,23965,2021,South Africa,grope,0,2553,0.0,5,837,837,crime and violence
4356,23999,2010,South Africa,hijab,0,64,0.0,5,841,841,"race, ethnicity and identity"
4357,24000,2011,South Africa,hijab,0,239,0.0,5,841,841,"race, ethnicity and identity"
4358,24001,2012,South Africa,hijab,0,355,0.0,5,841,841,"race, ethnicity and identity"
4359,24002,2013,South Africa,hijab,0,402,0.0,5,841,841,"race, ethnicity and identity"
4360,24003,2014,South Africa,hijab,0,400,0.0,5,841,841,"race, ethnicity and identity"
4361,24004,2015,South Africa,hijab,0,580,0.0,5,841,841,"race, ethnicity and identity"
4362,24005,2016,South Africa,hijab,0,1010,0.0,5,841,841,"race, ethnicity and identity"
4363,24006,2017,South Africa,hijab,0,2320,0.0,5,841,841,"race, ethnicity and identity"
4364,24007,2018,South Africa,hijab,1,3204,0.00031211,5,841,841,"race, ethnicity and identity"
4365,24008,2019,South Africa,hijab,1,3582,0.00027917400000000003,5,841,841,"race, ethnicity and identity"
4366,24009,2020,South Africa,hijab,1,3882,0.000257599,5,841,841,"race, ethnicity and identity"
4367,24010,2021,South Africa,hijab,0,2553,0.0,5,841,841,"race, ethnicity and identity"
4368,24029,2010,South Africa,hindu,0,64,0.0,5,843,843,"race, ethnicity and identity"
4369,24030,2011,South Africa,hindu,0,239,0.0,5,843,843,"race, ethnicity and identity"
4370,24031,2012,South Africa,hindu,0,355,0.0,5,843,843,"race, ethnicity and identity"
4371,24032,2013,South Africa,hindu,0,402,0.0,5,843,843,"race, ethnicity and identity"
4372,24033,2014,South Africa,hindu,0,400,0.0,5,843,843,"race, ethnicity and identity"
4373,24034,2015,South Africa,hindu,0,580,0.0,5,843,843,"race, ethnicity and identity"
4374,24035,2016,South Africa,hindu,0,1010,0.0,5,843,843,"race, ethnicity and identity"
4375,24036,2017,South Africa,hindu,0,2320,0.0,5,843,843,"race, ethnicity and identity"
4376,24037,2018,South Africa,hindu,0,3204,0.0,5,843,843,"race, ethnicity and identity"
4377,24038,2019,South Africa,hindu,0,3582,0.0,5,843,843,"race, ethnicity and identity"
4378,24039,2020,South Africa,hindu,0,3882,0.0,5,843,843,"race, ethnicity and identity"
4379,24040,2021,South Africa,hindu,0,2553,0.0,5,843,843,"race, ethnicity and identity"
4380,24059,2010,South Africa,housewife,0,64,0.0,9,845,845,female stereotypes
4381,24060,2011,South Africa,housewife,0,239,0.0,9,845,845,female stereotypes
4382,24061,2012,South Africa,housewife,0,355,0.0,9,845,845,female stereotypes
4383,24062,2013,South Africa,housewife,0,402,0.0,9,845,845,female stereotypes
4384,24063,2014,South Africa,housewife,0,400,0.0,9,845,845,female stereotypes
4385,24064,2015,South Africa,housewife,0,580,0.0,9,845,845,female stereotypes
4386,24065,2016,South Africa,housewife,0,1010,0.0,9,845,845,female stereotypes
4387,24066,2017,South Africa,housewife,0,2320,0.0,9,845,845,female stereotypes
4388,24067,2018,South Africa,housewife,0,3204,0.0,9,845,845,female stereotypes
4389,24068,2019,South Africa,housewife,0,3582,0.0,9,845,845,female stereotypes
4390,24069,2020,South Africa,housewife,1,3882,0.000257599,9,845,845,female stereotypes
4391,24070,2021,South Africa,housewife,0,2553,0.0,9,845,845,female stereotypes
4392,24449,2010,South Africa,married,0,64,0.0,7,875,875,female stereotypes
4393,24450,2011,South Africa,married,0,239,0.0,7,875,875,female stereotypes
4394,24451,2012,South Africa,married,0,355,0.0,7,875,875,female stereotypes
4395,24452,2013,South Africa,married,0,402,0.0,7,875,875,female stereotypes
4396,24453,2014,South Africa,married,0,400,0.0,7,875,875,female stereotypes
4397,24454,2015,South Africa,married,0,580,0.0,7,875,875,female stereotypes
4398,24455,2016,South Africa,married,4,1010,0.003960396,7,875,875,female stereotypes
4399,24456,2017,South Africa,married,4,2320,0.0017241379999999998,7,875,875,female stereotypes
4400,24457,2018,South Africa,married,0,3204,0.0,7,875,875,female stereotypes
4401,24458,2019,South Africa,married,4,3582,0.001116695,7,875,875,female stereotypes
4402,24459,2020,South Africa,married,1,3882,0.000257599,7,875,875,female stereotypes
4403,24460,2021,South Africa,married,0,2553,0.0,7,875,875,female stereotypes
4428,24944,2010,South Africa,pretty,0,64,0.0,6,909,909,female stereotypes
4429,24945,2011,South Africa,pretty,0,239,0.0,6,909,909,female stereotypes
4430,24946,2012,South Africa,pretty,1,355,0.002816901,6,909,909,female stereotypes
4431,24947,2013,South Africa,pretty,0,402,0.0,6,909,909,female stereotypes
4432,24948,2014,South Africa,pretty,1,400,0.0025,6,909,909,female stereotypes
4433,24949,2015,South Africa,pretty,0,580,0.0,6,909,909,female stereotypes
4434,24950,2016,South Africa,pretty,2,1010,0.001980198,6,909,909,female stereotypes
4435,24951,2017,South Africa,pretty,2,2320,0.0008620689999999999,6,909,909,female stereotypes
4436,24952,2018,South Africa,pretty,6,3204,0.001872659,6,909,909,female stereotypes
4437,24953,2019,South Africa,pretty,1,3582,0.00027917400000000003,6,909,909,female stereotypes
4438,24954,2020,South Africa,pretty,0,3882,0.0,6,909,909,female stereotypes
4439,24955,2021,South Africa,pretty,0,2553,0.0,6,909,909,female stereotypes
4440,25214,2010,South Africa,temple,0,64,0.0,6,933,933,"race, ethnicity and identity"
4441,25215,2011,South Africa,temple,0,239,0.0,6,933,933,"race, ethnicity and identity"
4442,25216,2012,South Africa,temple,0,355,0.0,6,933,933,"race, ethnicity and identity"
4443,25217,2013,South Africa,temple,0,402,0.0,6,933,933,"race, ethnicity and identity"
4444,25218,2014,South Africa,temple,0,400,0.0,6,933,933,"race, ethnicity and identity"
4445,25219,2015,South Africa,temple,0,580,0.0,6,933,933,"race, ethnicity and identity"
4446,25220,2016,South Africa,temple,0,1010,0.0,6,933,933,"race, ethnicity and identity"
4447,25221,2017,South Africa,temple,0,2320,0.0,6,933,933,"race, ethnicity and identity"
4448,25222,2018,South Africa,temple,1,3204,0.00031211,6,933,933,"race, ethnicity and identity"
4449,25223,2019,South Africa,temple,1,3582,0.00027917400000000003,6,933,933,"race, ethnicity and identity"
4450,25224,2020,South Africa,temple,0,3882,0.0,6,933,933,"race, ethnicity and identity"
4451,25225,2021,South Africa,temple,0,2553,0.0,6,933,933,"race, ethnicity and identity"
4464,25274,2010,South Africa,tribal,0,64,0.0,6,938,938,"race, ethnicity and identity"
4465,25275,2011,South Africa,tribal,0,239,0.0,6,938,938,"race, ethnicity and identity"
4466,25276,2012,South Africa,tribal,0,355,0.0,6,938,938,"race, ethnicity and identity"
4467,25277,2013,South Africa,tribal,0,402,0.0,6,938,938,"race, ethnicity and identity"
4468,25278,2014,South Africa,tribal,0,400,0.0,6,938,938,"race, ethnicity and identity"
4469,25279,2015,South Africa,tribal,0,580,0.0,6,938,938,"race, ethnicity and identity"
4470,25280,2016,South Africa,tribal,0,1010,0.0,6,938,938,"race, ethnicity and identity"
4471,25281,2017,South Africa,tribal,0,2320,0.0,6,938,938,"race, ethnicity and identity"
4472,25282,2018,South Africa,tribal,0,3204,0.0,6,938,938,"race, ethnicity and identity"
4473,25283,2019,South Africa,tribal,0,3582,0.0,6,938,938,"race, ethnicity and identity"
4474,25284,2020,South Africa,tribal,0,3882,0.0,6,938,938,"race, ethnicity and identity"
4475,25285,2021,South Africa,tribal,0,2553,0.0,6,938,938,"race, ethnicity and identity"
4476,25364,2010,South Africa,writer,0,64,0.0,6,945,945,empowerment
4477,25365,2011,South Africa,writer,0,239,0.0,6,945,945,empowerment
4478,25366,2012,South Africa,writer,0,355,0.0,6,945,945,empowerment
4479,25367,2013,South Africa,writer,1,402,0.002487562,6,945,945,empowerment
4480,25368,2014,South Africa,writer,0,400,0.0,6,945,945,empowerment
4481,25369,2015,South Africa,writer,0,580,0.0,6,945,945,empowerment
4482,25370,2016,South Africa,writer,0,1010,0.0,6,945,945,empowerment
4483,25371,2017,South Africa,writer,0,2320,0.0,6,945,945,empowerment
4484,25372,2018,South Africa,writer,1,3204,0.00031211,6,945,945,empowerment
4485,25373,2019,South Africa,writer,2,3582,0.0005583469999999999,6,945,945,empowerment
4486,25374,2020,South Africa,writer,3,3882,0.000772798,6,945,945,empowerment
4487,25375,2021,South Africa,writer,0,2553,0.0,6,945,945,empowerment
4488,25483,2010,UK,violence,0,1504,0.0,8,12,12,crime and violence
4489,25484,2011,UK,violence,0,2397,0.0,8,12,12,crime and violence
4490,25485,2012,UK,violence,3,3971,0.000755477,8,12,12,crime and violence
4491,25486,2013,UK,violence,17,5869,0.002896575,8,12,12,crime and violence
4492,25487,2014,UK,violence,31,6977,0.00444317,8,12,12,crime and violence
4493,25488,2015,UK,violence,29,8477,0.003421022,8,12,12,crime and violence
4494,25489,2016,UK,violence,27,11237,0.002402777,8,12,12,crime and violence
4495,25490,2017,UK,violence,33,12426,0.002655722,8,12,12,crime and violence
4496,25491,2018,UK,violence,28,12793,0.0021886970000000003,8,12,12,crime and violence
4497,25492,2019,UK,violence,48,15504,0.003095975,8,12,12,crime and violence
4498,25493,2020,UK,violence,54,15622,0.0034566640000000004,8,12,12,crime and violence
4499,25494,2021,UK,violence,62,10539,0.005882910999999999,8,12,12,crime and violence
4512,25585,2010,UK,allegedly,0,1504,0.0,9,20,20,crime and violence
4513,25586,2011,UK,allegedly,3,2397,0.001251564,9,20,20,crime and violence
4514,25587,2012,UK,allegedly,2,3971,0.000503651,9,20,20,crime and violence
4515,25588,2013,UK,allegedly,3,5869,0.00051116,9,20,20,crime and violence
4516,25589,2014,UK,allegedly,9,6977,0.001289953,9,20,20,crime and violence
4517,25590,2015,UK,allegedly,18,8477,0.002123393,9,20,20,crime and violence
4518,25591,2016,UK,allegedly,22,11237,0.001957818,9,20,20,crime and violence
4519,25592,2017,UK,allegedly,26,12426,0.002092387,9,20,20,crime and violence
4520,25593,2018,UK,allegedly,49,12793,0.00383022,9,20,20,crime and violence
4521,25594,2019,UK,allegedly,72,15504,0.004643963,9,20,20,crime and violence
4522,25595,2020,UK,allegedly,57,15622,0.003648701,9,20,20,crime and violence
4523,25596,2021,UK,allegedly,45,10539,0.004269855,9,20,20,crime and violence
4548,25772,2010,UK,gender,0,1504,0.0,6,38,38,"race, ethnicity and identity"
4549,25773,2011,UK,gender,3,2397,0.001251564,6,38,38,"race, ethnicity and identity"
4550,25774,2012,UK,gender,10,3971,0.0025182570000000003,6,38,38,"race, ethnicity and identity"
4551,25775,2013,UK,gender,15,5869,0.002555802,6,38,38,"race, ethnicity and identity"
4552,25776,2014,UK,gender,26,6977,0.00372653,6,38,38,"race, ethnicity and identity"
4553,25777,2015,UK,gender,44,8477,0.005190516,6,38,38,"race, ethnicity and identity"
4554,25778,2016,UK,gender,57,11237,0.005072528,6,38,38,"race, ethnicity and identity"
4555,25779,2017,UK,gender,72,12426,0.005794302,6,38,38,"race, ethnicity and identity"
4556,25780,2018,UK,gender,84,12793,0.006566091,6,38,38,"race, ethnicity and identity"
4557,25781,2019,UK,gender,109,15504,0.007030444,6,38,38,"race, ethnicity and identity"
4558,25782,2020,UK,gender,68,15622,0.004352836,6,38,38,"race, ethnicity and identity"
4559,25783,2021,UK,gender,33,10539,0.0031312270000000003,6,38,38,"race, ethnicity and identity"
4560,25925,2010,UK,abduct,0,1504,0.0,6,54,53,crime and violence
4561,25926,2011,UK,abduct,1,2397,0.000417188,6,54,53,crime and violence
4562,25927,2012,UK,abduct,1,3971,0.000251826,6,54,53,crime and violence
4563,25928,2013,UK,abduct,7,5869,0.001192707,6,54,53,crime and violence
4564,25929,2014,UK,abduct,5,6977,0.00071664,6,54,53,crime and violence
4565,25930,2015,UK,abduct,8,8477,0.00094373,6,54,53,crime and violence
4566,25931,2016,UK,abduct,9,11237,0.0008009260000000001,6,54,53,crime and violence
4567,25932,2017,UK,abduct,15,12426,0.001207146,6,54,53,crime and violence
4568,25933,2018,UK,abduct,8,12793,0.000625342,6,54,53,crime and violence
4569,25934,2019,UK,abduct,6,15504,0.000386997,6,54,53,crime and violence
4570,25935,2020,UK,abduct,20,15622,0.001280246,6,54,53,crime and violence
4571,25936,2021,UK,abduct,24,10539,0.002277256,6,54,53,crime and violence
4572,25976,2010,UK,harass,0,1504,0.0,6,61,60,crime and violence
4573,25977,2011,UK,harass,0,2397,0.0,6,61,60,crime and violence
4574,25978,2012,UK,harass,1,3971,0.000251826,6,61,60,crime and violence
4575,25979,2013,UK,harass,3,5869,0.00051116,6,61,60,crime and violence
4576,25980,2014,UK,harass,6,6977,0.000859968,6,61,60,crime and violence
4577,25981,2015,UK,harass,6,8477,0.000707798,6,61,60,crime and violence
4578,25982,2016,UK,harass,17,11237,0.001512859,6,61,60,crime and violence
4579,25983,2017,UK,harass,25,12426,0.002011911,6,61,60,crime and violence
4580,25984,2018,UK,harass,34,12793,0.002657703,6,61,60,crime and violence
4581,25985,2019,UK,harass,22,15504,0.0014189889999999998,6,61,60,crime and violence
4582,25986,2020,UK,harass,19,15622,0.0012162339999999998,6,61,60,crime and violence
4583,25987,2021,UK,harass,22,10539,0.002087485,6,61,60,crime and violence
4584,26010,2010,UK,relationship,0,1504,0.0,12,63,62,female stereotypes
4585,26011,2011,UK,relationship,6,2397,0.002503129,12,63,62,female stereotypes
4586,26012,2012,UK,relationship,9,3971,0.002266432,12,63,62,female stereotypes
4587,26013,2013,UK,relationship,15,5869,0.002555802,12,63,62,female stereotypes
4588,26014,2014,UK,relationship,20,6977,0.002866562,12,63,62,female stereotypes
4589,26015,2015,UK,relationship,25,8477,0.002949157,12,63,62,female stereotypes
4590,26016,2016,UK,relationship,39,11237,0.003470677,12,63,62,female stereotypes
4591,26017,2017,UK,relationship,48,12426,0.003862868,12,63,62,female stereotypes
4592,26018,2018,UK,relationship,29,12793,0.002266865,12,63,62,female stereotypes
4593,26019,2019,UK,relationship,48,15504,0.003095975,12,63,62,female stereotypes
4594,26020,2020,UK,relationship,62,15622,0.003968762,12,63,62,female stereotypes
4595,26021,2021,UK,relationship,22,10539,0.002087485,12,63,62,female stereotypes
4596,26027,2010,UK,brutal,0,1504,0.0,6,65,64,crime and violence
4597,26028,2011,UK,brutal,0,2397,0.0,6,65,64,crime and violence
4598,26029,2012,UK,brutal,2,3971,0.000503651,6,65,64,crime and violence
4599,26030,2013,UK,brutal,8,5869,0.001363094,6,65,64,crime and violence
4600,26031,2014,UK,brutal,7,6977,0.001003297,6,65,64,crime and violence
4601,26032,2015,UK,brutal,20,8477,0.002359325,6,65,64,crime and violence
4602,26033,2016,UK,brutal,30,11237,0.002669752,6,65,64,crime and violence
4603,26034,2017,UK,brutal,28,12426,0.00225334,6,65,64,crime and violence
4604,26035,2018,UK,brutal,22,12793,0.00171969,6,65,64,crime and violence
4605,26036,2019,UK,brutal,34,15504,0.002192982,6,65,64,crime and violence
4606,26037,2020,UK,brutal,18,15622,0.001152221,6,65,64,crime and violence
4607,26038,2021,UK,brutal,21,10539,0.001992599,6,65,64,crime and violence
4608,26044,2010,UK,ceo,0,1504,0.0,3,66,65,empowerment
4609,26045,2011,UK,ceo,2,2397,0.0008343760000000001,3,66,65,empowerment
4610,26046,2012,UK,ceo,2,3971,0.000503651,3,66,65,empowerment
4611,26047,2013,UK,ceo,8,5869,0.001363094,3,66,65,empowerment
4612,26048,2014,UK,ceo,8,6977,0.001146625,3,66,65,empowerment
4613,26049,2015,UK,ceo,11,8477,0.001297629,3,66,65,empowerment
4614,26050,2016,UK,ceo,13,11237,0.001156892,3,66,65,empowerment
4615,26051,2017,UK,ceo,16,12426,0.001287623,3,66,65,empowerment
4616,26052,2018,UK,ceo,32,12793,0.002501368,3,66,65,empowerment
4617,26053,2019,UK,ceo,30,15504,0.001934985,3,66,65,empowerment
4618,26054,2020,UK,ceo,33,15622,0.0021124060000000003,3,66,65,empowerment
4619,26055,2021,UK,ceo,21,10539,0.001992599,3,66,65,empowerment
4620,26146,2010,UK,athlete,0,1504,0.0,7,75,74,empowerment
4621,26147,2011,UK,athlete,0,2397,0.0,7,75,74,empowerment
4622,26148,2012,UK,athlete,10,3971,0.0025182570000000003,7,75,74,empowerment
4623,26149,2013,UK,athlete,4,5869,0.000681547,7,75,74,empowerment
4624,26150,2014,UK,athlete,8,6977,0.001146625,7,75,74,empowerment
4625,26151,2015,UK,athlete,11,8477,0.001297629,7,75,74,empowerment
4626,26152,2016,UK,athlete,14,11237,0.0012458839999999998,7,75,74,empowerment
4627,26153,2017,UK,athlete,11,12426,0.000885241,7,75,74,empowerment
4628,26154,2018,UK,athlete,9,12793,0.00070351,7,75,74,empowerment
4629,26155,2019,UK,athlete,35,15504,0.0022574820000000003,7,75,74,empowerment
4630,26156,2020,UK,athlete,21,15622,0.001344258,7,75,74,empowerment
4631,26157,2021,UK,athlete,19,10539,0.001802828,7,75,74,empowerment
4632,26265,2010,UK,activist,0,1504,0.0,8,84,83,empowerment
4633,26266,2011,UK,activist,2,2397,0.0008343760000000001,8,84,83,empowerment
4634,26267,2012,UK,activist,8,3971,0.002014606,8,84,83,empowerment
4635,26268,2013,UK,activist,2,5869,0.000340774,8,84,83,empowerment
4636,26269,2014,UK,activist,5,6977,0.00071664,8,84,83,empowerment
4637,26270,2015,UK,activist,17,8477,0.0020054260000000003,8,84,83,empowerment
4638,26271,2016,UK,activist,11,11237,0.000978909,8,84,83,empowerment
4639,26272,2017,UK,activist,8,12426,0.000643811,8,84,83,empowerment
4640,26273,2018,UK,activist,20,12793,0.001563355,8,84,83,empowerment
4641,26274,2019,UK,activist,27,15504,0.001741486,8,84,83,empowerment
4642,26275,2020,UK,activist,40,15622,0.002560492,8,84,83,empowerment
4643,26276,2021,UK,activist,17,10539,0.001613056,8,84,83,empowerment
4656,26316,2010,UK,founder,0,1504,0.0,7,87,86,empowerment
4657,26317,2011,UK,founder,2,2397,0.0008343760000000001,7,87,86,empowerment
4658,26318,2012,UK,founder,4,3971,0.001007303,7,87,86,empowerment
4659,26319,2013,UK,founder,10,5869,0.001703868,7,87,86,empowerment
4660,26320,2014,UK,founder,9,6977,0.001289953,7,87,86,empowerment
4661,26321,2015,UK,founder,11,8477,0.001297629,7,87,86,empowerment
4662,26322,2016,UK,founder,13,11237,0.001156892,7,87,86,empowerment
4663,26323,2017,UK,founder,7,12426,0.000563335,7,87,86,empowerment
4664,26324,2018,UK,founder,23,12793,0.0017978579999999996,7,87,86,empowerment
4665,26325,2019,UK,founder,23,15504,0.0014834879999999998,7,87,86,empowerment
4666,26326,2020,UK,founder,14,15622,0.000896172,7,87,86,empowerment
4667,26327,2021,UK,founder,17,10539,0.001613056,7,87,86,empowerment
4680,26418,2010,UK,worth,0,1504,0.0,5,95,95,empowerment
4681,26419,2011,UK,worth,1,2397,0.000417188,5,95,95,empowerment
4682,26420,2012,UK,worth,6,3971,0.001510954,5,95,95,empowerment
4683,26421,2013,UK,worth,3,5869,0.00051116,5,95,95,empowerment
4684,26422,2014,UK,worth,10,6977,0.001433281,5,95,95,empowerment
4685,26423,2015,UK,worth,10,8477,0.001179663,5,95,95,empowerment
4686,26424,2016,UK,worth,6,11237,0.00053395,5,95,95,empowerment
4687,26425,2017,UK,worth,15,12426,0.001207146,5,95,95,empowerment
4688,26426,2018,UK,worth,16,12793,0.001250684,5,95,95,empowerment
4689,26427,2019,UK,worth,30,15504,0.001934985,5,95,95,empowerment
4690,26428,2020,UK,worth,23,15622,0.0014722829999999998,5,95,95,empowerment
4691,26429,2021,UK,worth,15,10539,0.001423285,5,95,95,empowerment
4692,26452,2010,UK,period,0,1504,0.0,6,100,100,female stereotypes
4693,26453,2011,UK,period,1,2397,0.000417188,6,100,100,female stereotypes
4694,26454,2012,UK,period,2,3971,0.000503651,6,100,100,female stereotypes
4695,26455,2013,UK,period,2,5869,0.000340774,6,100,100,female stereotypes
4696,26456,2014,UK,period,9,6977,0.001289953,6,100,100,female stereotypes
4697,26457,2015,UK,period,25,8477,0.002949157,6,100,100,female stereotypes
4698,26458,2016,UK,period,24,11237,0.002135801,6,100,100,female stereotypes
4699,26459,2017,UK,period,29,12426,0.002333816,6,100,100,female stereotypes
4700,26460,2018,UK,period,32,12793,0.002501368,6,100,100,female stereotypes
4701,26461,2019,UK,period,45,15504,0.002902477,6,100,100,female stereotypes
4702,26462,2020,UK,period,26,15622,0.00166432,6,100,100,female stereotypes
4703,26463,2021,UK,period,14,10539,0.001328399,6,100,100,female stereotypes
4704,26503,2010,UK,empower,0,1504,0.0,7,105,105,empowerment
4705,26504,2011,UK,empower,2,2397,0.0008343760000000001,7,105,105,empowerment
4706,26505,2012,UK,empower,1,3971,0.000251826,7,105,105,empowerment
4707,26506,2013,UK,empower,1,5869,0.000170387,7,105,105,empowerment
4708,26507,2014,UK,empower,4,6977,0.000573312,7,105,105,empowerment
4709,26508,2015,UK,empower,9,8477,0.001061696,7,105,105,empowerment
4710,26509,2016,UK,empower,17,11237,0.001512859,7,105,105,empowerment
4711,26510,2017,UK,empower,27,12426,0.002172863,7,105,105,empowerment
4712,26511,2018,UK,empower,22,12793,0.00171969,7,105,105,empowerment
4713,26512,2019,UK,empower,22,15504,0.0014189889999999998,7,105,105,empowerment
4714,26513,2020,UK,empower,15,15622,0.000960184,7,105,105,empowerment
4715,26514,2021,UK,empower,13,10539,0.001233514,7,105,105,empowerment
4716,26571,2010,UK,elect,0,1504,0.0,5,110,110,empowerment
4717,26572,2011,UK,elect,0,2397,0.0,5,110,110,empowerment
4718,26573,2012,UK,elect,1,3971,0.000251826,5,110,110,empowerment
4719,26574,2013,UK,elect,3,5869,0.00051116,5,110,110,empowerment
4720,26575,2014,UK,elect,1,6977,0.000143328,5,110,110,empowerment
4721,26576,2015,UK,elect,1,8477,0.000117966,5,110,110,empowerment
4722,26577,2016,UK,elect,12,11237,0.001067901,5,110,110,empowerment
4723,26578,2017,UK,elect,13,12426,0.001046193,5,110,110,empowerment
4724,26579,2018,UK,elect,9,12793,0.00070351,5,110,110,empowerment
4725,26580,2019,UK,elect,18,15504,0.001160991,5,110,110,empowerment
4726,26581,2020,UK,elect,15,15622,0.000960184,5,110,110,empowerment
4727,26582,2021,UK,elect,12,10539,0.001138628,5,110,110,empowerment
4728,26690,2010,UK,equality,0,1504,0.0,8,122,122,empowerment
4729,26691,2011,UK,equality,0,2397,0.0,8,122,122,empowerment
4730,26692,2012,UK,equality,5,3971,0.001259129,8,122,122,empowerment
4731,26693,2013,UK,equality,6,5869,0.001022321,8,122,122,empowerment
4732,26694,2014,UK,equality,10,6977,0.001433281,8,122,122,empowerment
4733,26695,2015,UK,equality,9,8477,0.001061696,8,122,122,empowerment
4734,26696,2016,UK,equality,19,11237,0.0016908429999999998,8,122,122,empowerment
4735,26697,2017,UK,equality,18,12426,0.001448576,8,122,122,empowerment
4736,26698,2018,UK,equality,33,12793,0.002579536,8,122,122,empowerment
4737,26699,2019,UK,equality,22,15504,0.0014189889999999998,8,122,122,empowerment
4738,26700,2020,UK,equality,17,15622,0.001088209,8,122,122,empowerment
4739,26701,2021,UK,equality,10,10539,0.000948857,8,122,122,empowerment
4752,26741,2010,UK,march,0,1504,0.0,5,125,125,empowerment
4753,26742,2011,UK,march,1,2397,0.000417188,5,125,125,empowerment
4754,26743,2012,UK,march,0,3971,0.0,5,125,125,empowerment
4755,26744,2013,UK,march,9,5869,0.001533481,5,125,125,empowerment
4756,26745,2014,UK,march,5,6977,0.00071664,5,125,125,empowerment
4757,26746,2015,UK,march,11,8477,0.001297629,5,125,125,empowerment
4758,26747,2016,UK,march,8,11237,0.0007119339999999999,5,125,125,empowerment
4759,26748,2017,UK,march,49,12426,0.003943345,5,125,125,empowerment
4760,26749,2018,UK,march,28,12793,0.0021886970000000003,5,125,125,empowerment
4761,26750,2019,UK,march,22,15504,0.0014189889999999998,5,125,125,empowerment
4762,26751,2020,UK,march,19,15622,0.0012162339999999998,5,125,125,empowerment
4763,26752,2021,UK,march,10,10539,0.000948857,5,125,125,empowerment
4764,26809,2010,UK,vagina,0,1504,0.0,6,129,129,female stereotypes
4765,26810,2011,UK,vagina,0,2397,0.0,6,129,129,female stereotypes
4766,26811,2012,UK,vagina,8,3971,0.002014606,6,129,129,female stereotypes
4767,26812,2013,UK,vagina,7,5869,0.001192707,6,129,129,female stereotypes
4768,26813,2014,UK,vagina,22,6977,0.003153218,6,129,129,female stereotypes
4769,26814,2015,UK,vagina,32,8477,0.00377492,6,129,129,female stereotypes
4770,26815,2016,UK,vagina,27,11237,0.002402777,6,129,129,female stereotypes
4771,26816,2017,UK,vagina,29,12426,0.002333816,6,129,129,female stereotypes
4772,26817,2018,UK,vagina,30,12793,0.002345032,6,129,129,female stereotypes
4773,26818,2019,UK,vagina,35,15504,0.0022574820000000003,6,129,129,female stereotypes
4774,26819,2020,UK,vagina,18,15622,0.001152221,6,129,129,female stereotypes
4775,26820,2021,UK,vagina,10,10539,0.000948857,6,129,129,female stereotypes
4776,26826,2010,UK,freedom,0,1504,0.0,7,131,131,empowerment
4777,26827,2011,UK,freedom,3,2397,0.001251564,7,131,131,empowerment
4778,26828,2012,UK,freedom,2,3971,0.000503651,7,131,131,empowerment
4779,26829,2013,UK,freedom,2,5869,0.000340774,7,131,131,empowerment
4780,26830,2014,UK,freedom,3,6977,0.000429984,7,131,131,empowerment
4781,26831,2015,UK,freedom,5,8477,0.000589831,7,131,131,empowerment
4782,26832,2016,UK,freedom,6,11237,0.00053395,7,131,131,empowerment
4783,26833,2017,UK,freedom,4,12426,0.000321906,7,131,131,empowerment
4784,26834,2018,UK,freedom,12,12793,0.000938013,7,131,131,empowerment
4785,26835,2019,UK,freedom,6,15504,0.000386997,7,131,131,empowerment
4786,26836,2020,UK,freedom,4,15622,0.000256049,7,131,131,empowerment
4787,26837,2021,UK,freedom,9,10539,0.000853971,7,131,131,empowerment
4812,27149,2010,UK,pilot,0,1504,0.0,5,155,155,empowerment
4813,27150,2011,UK,pilot,6,2397,0.002503129,5,155,155,empowerment
4814,27151,2012,UK,pilot,5,3971,0.001259129,5,155,155,empowerment
4815,27152,2013,UK,pilot,6,5869,0.001022321,5,155,155,empowerment
4816,27153,2014,UK,pilot,11,6977,0.001576609,5,155,155,empowerment
4817,27154,2015,UK,pilot,12,8477,0.001415595,5,155,155,empowerment
4818,27155,2016,UK,pilot,26,11237,0.002313785,5,155,155,empowerment
4819,27156,2017,UK,pilot,13,12426,0.001046193,5,155,155,empowerment
4820,27157,2018,UK,pilot,15,12793,0.001172516,5,155,155,empowerment
4821,27158,2019,UK,pilot,28,15504,0.001805986,5,155,155,empowerment
4822,27159,2020,UK,pilot,12,15622,0.000768147,5,155,155,empowerment
4823,27160,2021,UK,pilot,6,10539,0.000569314,5,155,155,empowerment
4836,27268,2010,UK,cricketer,0,1504,0.0,9,163,163,empowerment
4837,27269,2011,UK,cricketer,0,2397,0.0,9,163,163,empowerment
4838,27270,2012,UK,cricketer,1,3971,0.000251826,9,163,163,empowerment
4839,27271,2013,UK,cricketer,2,5869,0.000340774,9,163,163,empowerment
4840,27272,2014,UK,cricketer,3,6977,0.000429984,9,163,163,empowerment
4841,27273,2015,UK,cricketer,0,8477,0.0,9,163,163,empowerment
4842,27274,2016,UK,cricketer,2,11237,0.000177983,9,163,163,empowerment
4843,27275,2017,UK,cricketer,7,12426,0.000563335,9,163,163,empowerment
4844,27276,2018,UK,cricketer,0,12793,0.0,9,163,163,empowerment
4845,27277,2019,UK,cricketer,12,15504,0.000773994,9,163,163,empowerment
4846,27278,2020,UK,cricketer,8,15622,0.000512098,9,163,163,empowerment
4847,27279,2021,UK,cricketer,5,10539,0.0004744280000000001,9,163,163,empowerment
4860,27302,2010,UK,fighter,0,1504,0.0,7,165,165,empowerment
4861,27303,2011,UK,fighter,1,2397,0.000417188,7,165,165,empowerment
4862,27304,2012,UK,fighter,3,3971,0.000755477,7,165,165,empowerment
4863,27305,2013,UK,fighter,6,5869,0.001022321,7,165,165,empowerment
4864,27306,2014,UK,fighter,15,6977,0.002149921,7,165,165,empowerment
4865,27307,2015,UK,fighter,20,8477,0.002359325,7,165,165,empowerment
4866,27308,2016,UK,fighter,27,11237,0.002402777,7,165,165,empowerment
4867,27309,2017,UK,fighter,17,12426,0.001368099,7,165,165,empowerment
4868,27310,2018,UK,fighter,10,12793,0.0007816769999999999,7,165,165,empowerment
4869,27311,2019,UK,fighter,23,15504,0.0014834879999999998,7,165,165,empowerment
4870,27312,2020,UK,fighter,8,15622,0.000512098,7,165,165,empowerment
4871,27313,2021,UK,fighter,5,10539,0.0004744280000000001,7,165,165,empowerment
4872,27404,2010,UK,trafficking,0,1504,0.0,11,175,175,crime and violence
4873,27405,2011,UK,trafficking,1,2397,0.000417188,11,175,175,crime and violence
4874,27406,2012,UK,trafficking,0,3971,0.0,11,175,175,crime and violence
4875,27407,2013,UK,trafficking,2,5869,0.000340774,11,175,175,crime and violence
4876,27408,2014,UK,trafficking,6,6977,0.000859968,11,175,175,crime and violence
4877,27409,2015,UK,trafficking,6,8477,0.000707798,11,175,175,crime and violence
4878,27410,2016,UK,trafficking,2,11237,0.000177983,11,175,175,crime and violence
4879,27411,2017,UK,trafficking,4,12426,0.000321906,11,175,175,crime and violence
4880,27412,2018,UK,trafficking,7,12793,0.000547174,11,175,175,crime and violence
4881,27413,2019,UK,trafficking,7,15504,0.000451496,11,175,175,crime and violence
4882,27414,2020,UK,trafficking,5,15622,0.000320061,11,175,175,crime and violence
4883,27415,2021,UK,trafficking,5,10539,0.0004744280000000001,11,175,175,crime and violence
4884,27523,2010,UK,makeup,0,1504,0.0,6,184,184,female stereotypes
4885,27524,2011,UK,makeup,0,2397,0.0,6,184,184,female stereotypes
4886,27525,2012,UK,makeup,1,3971,0.000251826,6,184,184,female stereotypes
4887,27526,2013,UK,makeup,5,5869,0.0008519339999999999,6,184,184,female stereotypes
4888,27527,2014,UK,makeup,3,6977,0.000429984,6,184,184,female stereotypes
4889,27528,2015,UK,makeup,13,8477,0.001533561,6,184,184,female stereotypes
4890,27529,2016,UK,makeup,20,11237,0.001779834,6,184,184,female stereotypes
4891,27530,2017,UK,makeup,18,12426,0.001448576,6,184,184,female stereotypes
4892,27531,2018,UK,makeup,19,12793,0.001485187,6,184,184,female stereotypes
4893,27532,2019,UK,makeup,19,15504,0.00122549,6,184,184,female stereotypes
4894,27533,2020,UK,makeup,23,15622,0.0014722829999999998,6,184,184,female stereotypes
4895,27534,2021,UK,makeup,4,10539,0.000379543,6,184,184,female stereotypes
4896,27540,2010,UK,metoo,0,1504,0.0,5,185,185,empowerment
4897,27541,2011,UK,metoo,0,2397,0.0,5,185,185,empowerment
4898,27542,2012,UK,metoo,0,3971,0.0,5,185,185,empowerment
4899,27543,2013,UK,metoo,0,5869,0.0,5,185,185,empowerment
4900,27544,2014,UK,metoo,0,6977,0.0,5,185,185,empowerment
4901,27545,2015,UK,metoo,0,8477,0.0,5,185,185,empowerment
4902,27546,2016,UK,metoo,0,11237,0.0,5,185,185,empowerment
4903,27547,2017,UK,metoo,9,12426,0.000724288,5,185,185,empowerment
4904,27548,2018,UK,metoo,59,12793,0.004611897,5,185,185,empowerment
4905,27549,2019,UK,metoo,20,15504,0.00128999,5,185,185,empowerment
4906,27550,2020,UK,metoo,12,15622,0.000768147,5,185,185,empowerment
4907,27551,2021,UK,metoo,4,10539,0.000379543,5,185,185,empowerment
4908,27829,2010,UK,temple,0,1504,0.0,6,207,207,"race, ethnicity and identity"
4909,27830,2011,UK,temple,2,2397,0.0008343760000000001,6,207,207,"race, ethnicity and identity"
4910,27831,2012,UK,temple,0,3971,0.0,6,207,207,"race, ethnicity and identity"
4911,27832,2013,UK,temple,4,5869,0.000681547,6,207,207,"race, ethnicity and identity"
4912,27833,2014,UK,temple,3,6977,0.000429984,6,207,207,"race, ethnicity and identity"
4913,27834,2015,UK,temple,3,8477,0.000353899,6,207,207,"race, ethnicity and identity"
4914,27835,2016,UK,temple,4,11237,0.00035596699999999995,6,207,207,"race, ethnicity and identity"
4915,27836,2017,UK,temple,3,12426,0.000241429,6,207,207,"race, ethnicity and identity"
4916,27837,2018,UK,temple,6,12793,0.000469006,6,207,207,"race, ethnicity and identity"
4917,27838,2019,UK,temple,3,15504,0.000193498,6,207,207,"race, ethnicity and identity"
4918,27839,2020,UK,temple,1,15622,6.4e-05,6,207,207,"race, ethnicity and identity"
4919,27840,2021,UK,temple,3,10539,0.000284657,6,207,207,"race, ethnicity and identity"
4932,28067,2010,UK,testify,0,1504,0.0,7,226,230,crime and violence
4933,28068,2011,UK,testify,0,2397,0.0,7,226,230,crime and violence
4934,28069,2012,UK,testify,2,3971,0.000503651,7,226,230,crime and violence
4935,28070,2013,UK,testify,4,5869,0.000681547,7,226,230,crime and violence
4936,28071,2014,UK,testify,1,6977,0.000143328,7,226,230,crime and violence
4937,28072,2015,UK,testify,3,8477,0.000353899,7,226,230,crime and violence
4938,28073,2016,UK,testify,4,11237,0.00035596699999999995,7,226,230,crime and violence
4939,28074,2017,UK,testify,1,12426,8.05e-05,7,226,230,crime and violence
4940,28075,2018,UK,testify,4,12793,0.000312671,7,226,230,crime and violence
4941,28076,2019,UK,testify,3,15504,0.000193498,7,226,230,crime and violence
4942,28077,2020,UK,testify,10,15622,0.000640123,7,226,230,crime and violence
4943,28078,2021,UK,testify,1,10539,9.49e-05,7,226,230,crime and violence
4956,28356,2010,UK,transgender,1,1504,0.000664894,11,248,248,"race, ethnicity and identity"
4957,28357,2011,UK,transgender,0,2397,0.0,11,248,248,"race, ethnicity and identity"
4958,28358,2012,UK,transgender,5,3971,0.001259129,11,248,248,"race, ethnicity and identity"
4959,28359,2013,UK,transgender,15,5869,0.002555802,11,248,248,"race, ethnicity and identity"
4960,28360,2014,UK,transgender,22,6977,0.003153218,11,248,248,"race, ethnicity and identity"
4961,28361,2015,UK,transgender,83,8477,0.0097912,11,248,248,"race, ethnicity and identity"
4962,28362,2016,UK,transgender,79,11237,0.007030346,11,248,248,"race, ethnicity and identity"
4963,28363,2017,UK,transgender,86,12426,0.006920971999999999,11,248,248,"race, ethnicity and identity"
4964,28364,2018,UK,transgender,80,12793,0.00625342,11,248,248,"race, ethnicity and identity"
4965,28365,2019,UK,transgender,87,15504,0.005611455,11,248,248,"race, ethnicity and identity"
4966,28366,2020,UK,transgender,52,15622,0.0033286390000000004,11,248,248,"race, ethnicity and identity"
4967,28367,2021,UK,transgender,37,10539,0.00351077,11,248,248,"race, ethnicity and identity"
4968,28373,2010,UK,career,1,1504,0.000664894,6,249,249,empowerment
4969,28374,2011,UK,career,8,2397,0.003337505,6,249,249,empowerment
4970,28375,2012,UK,career,18,3971,0.004532863,6,249,249,empowerment
4971,28376,2013,UK,career,23,5869,0.003918896,6,249,249,empowerment
4972,28377,2014,UK,career,27,6977,0.003869858,6,249,249,empowerment
4973,28378,2015,UK,career,29,8477,0.003421022,6,249,249,empowerment
4974,28379,2016,UK,career,34,11237,0.003025719,6,249,249,empowerment
4975,28380,2017,UK,career,40,12426,0.003219057,6,249,249,empowerment
4976,28381,2018,UK,career,53,12793,0.004142891,6,249,249,empowerment
4977,28382,2019,UK,career,45,15504,0.002902477,6,249,249,empowerment
4978,28383,2020,UK,career,36,15622,0.0023044420000000003,6,249,249,empowerment
4979,28384,2021,UK,career,36,10539,0.003415884,6,249,249,empowerment
4980,28441,2010,UK,support,2,1504,0.001329787,7,253,253,female stereotypes
4981,28442,2011,UK,support,5,2397,0.002085941,7,253,253,female stereotypes
4982,28443,2012,UK,support,12,3971,0.003021909,7,253,253,female stereotypes
4983,28444,2013,UK,support,22,5869,0.003748509,7,253,253,female stereotypes
4984,28445,2014,UK,support,26,6977,0.00372653,7,253,253,female stereotypes
4985,28446,2015,UK,support,36,8477,0.004246785,7,253,253,female stereotypes
4986,28447,2016,UK,support,48,11237,0.004271603,7,253,253,female stereotypes
4987,28448,2017,UK,support,45,12426,0.003621439,7,253,253,female stereotypes
4988,28449,2018,UK,support,66,12793,0.005159071,7,253,253,female stereotypes
4989,28450,2019,UK,support,72,15504,0.004643963,7,253,253,female stereotypes
4990,28451,2020,UK,support,70,15622,0.00448086,7,253,253,female stereotypes
4991,28452,2021,UK,support,68,10539,0.006452225,7,253,253,female stereotypes
4992,28458,2010,UK,police,14,1504,0.009308511,6,255,255,crime and violence
4993,28459,2011,UK,police,23,2397,0.009595327,6,255,255,crime and violence
4994,28460,2012,UK,police,49,3971,0.012339461,6,255,255,crime and violence
4995,28461,2013,UK,police,103,5869,0.017549838,6,255,255,crime and violence
4996,28462,2014,UK,police,113,6977,0.016196073000000002,6,255,255,crime and violence
4997,28463,2015,UK,police,165,8477,0.019464433,6,255,255,crime and violence
4998,28464,2016,UK,police,198,11237,0.017620361,6,255,255,crime and violence
4999,28465,2017,UK,police,216,12426,0.017382907,6,255,255,crime and violence
5000,28466,2018,UK,police,327,12793,0.025560854,6,255,255,crime and violence
5001,28467,2019,UK,police,396,15504,0.025541796,6,255,255,crime and violence
5002,28468,2020,UK,police,516,15622,0.033030342000000004,6,255,255,crime and violence
5003,28469,2021,UK,police,456,10539,0.043267862,6,255,255,crime and violence
5004,28560,2010,UK,black,6,1504,0.003989362,5,263,263,"race, ethnicity and identity"
5005,28561,2011,UK,black,14,2397,0.005840634,5,263,263,"race, ethnicity and identity"
5006,28562,2012,UK,black,49,3971,0.012339461,5,263,263,"race, ethnicity and identity"
5007,28563,2013,UK,black,47,5869,0.008008179,5,263,263,"race, ethnicity and identity"
5008,28564,2014,UK,black,64,6977,0.009172997,5,263,263,"race, ethnicity and identity"
5009,28565,2015,UK,black,100,8477,0.011796626,5,263,263,"race, ethnicity and identity"
5010,28566,2016,UK,black,145,11237,0.012903799999999998,5,263,263,"race, ethnicity and identity"
5011,28567,2017,UK,black,151,12426,0.012151939,5,263,263,"race, ethnicity and identity"
5012,28568,2018,UK,black,187,12793,0.014617369,5,263,263,"race, ethnicity and identity"
5013,28569,2019,UK,black,184,15504,0.011867905,5,263,263,"race, ethnicity and identity"
5014,28570,2020,UK,black,333,15622,0.021316093,5,263,263,"race, ethnicity and identity"
5015,28571,2021,UK,black,172,10539,0.016320334,5,263,263,"race, ethnicity and identity"
5016,28628,2010,UK,racist,1,1504,0.000664894,6,272,272,crime and violence
5017,28629,2011,UK,racist,1,2397,0.000417188,6,272,272,crime and violence
5018,28630,2012,UK,racist,5,3971,0.001259129,6,272,272,crime and violence
5019,28631,2013,UK,racist,10,5869,0.001703868,6,272,272,crime and violence
5020,28632,2014,UK,racist,11,6977,0.001576609,6,272,272,crime and violence
5021,28633,2015,UK,racist,14,8477,0.001651528,6,272,272,crime and violence
5022,28634,2016,UK,racist,32,11237,0.002847735,6,272,272,crime and violence
5023,28635,2017,UK,racist,32,12426,0.002575245,6,272,272,crime and violence
5024,28636,2018,UK,racist,38,12793,0.002970374,6,272,272,crime and violence
5025,28637,2019,UK,racist,43,15504,0.002773478,6,272,272,crime and violence
5026,28638,2020,UK,racist,45,15622,0.002880553,6,272,272,crime and violence
5027,28639,2021,UK,racist,27,10539,0.002561913,6,272,272,crime and violence
5028,28713,2010,UK,pregnant,8,1504,0.005319149,8,277,275,female stereotypes
5029,28714,2011,UK,pregnant,21,2397,0.008760951,8,277,275,female stereotypes
5030,28715,2012,UK,pregnant,44,3971,0.011080332,8,277,275,female stereotypes
5031,28716,2013,UK,pregnant,54,5869,0.009200886,8,277,275,female stereotypes
5032,28717,2014,UK,pregnant,78,6977,0.01117959,8,277,275,female stereotypes
5033,28718,2015,UK,pregnant,121,8477,0.014273918,8,277,275,female stereotypes
5034,28719,2016,UK,pregnant,134,11237,0.011924891000000002,8,277,275,female stereotypes
5035,28720,2017,UK,pregnant,148,12426,0.01191051,8,277,275,female stereotypes
5036,28721,2018,UK,pregnant,161,12793,0.012585007,8,277,275,female stereotypes
5037,28722,2019,UK,pregnant,201,15504,0.012964396,8,277,275,female stereotypes
5038,28723,2020,UK,pregnant,230,15622,0.014722827,8,277,275,female stereotypes
5039,28724,2021,UK,pregnant,198,10539,0.018787361,8,277,275,female stereotypes
5040,28730,2010,UK,sexual,2,1504,0.001329787,6,278,278,female stereotypes
5041,28731,2011,UK,sexual,9,2397,0.003754693,6,278,278,female stereotypes
5042,28732,2012,UK,sexual,9,3971,0.002266432,6,278,278,female stereotypes
5043,28733,2013,UK,sexual,10,5869,0.001703868,6,278,278,female stereotypes
5044,28734,2014,UK,sexual,34,6977,0.004873155,6,278,278,female stereotypes
5045,28735,2015,UK,sexual,54,8477,0.006370178000000001,6,278,278,female stereotypes
5046,28736,2016,UK,sexual,75,11237,0.006674379,6,278,278,female stereotypes
5047,28737,2017,UK,sexual,124,12426,0.009979076,6,278,278,female stereotypes
5048,28738,2018,UK,sexual,112,12793,0.008754788000000001,6,278,278,female stereotypes
5049,28739,2019,UK,sexual,69,15504,0.004450464,6,278,278,female stereotypes
5050,28740,2020,UK,sexual,77,15622,0.004928946,6,278,278,female stereotypes
5051,28741,2021,UK,sexual,48,10539,0.004554512,6,278,278,female stereotypes
5076,28832,2010,UK,leader,1,1504,0.000664894,6,285,285,empowerment
5077,28833,2011,UK,leader,10,2397,0.004171882,6,285,285,empowerment
5078,28834,2012,UK,leader,5,3971,0.001259129,6,285,285,empowerment
5079,28835,2013,UK,leader,9,5869,0.001533481,6,285,285,empowerment
5080,28836,2014,UK,leader,15,6977,0.002149921,6,285,285,empowerment
5081,28837,2015,UK,leader,25,8477,0.002949157,6,285,285,empowerment
5082,28838,2016,UK,leader,27,11237,0.002402777,6,285,285,empowerment
5083,28839,2017,UK,leader,32,12426,0.002575245,6,285,285,empowerment
5084,28840,2018,UK,leader,30,12793,0.002345032,6,285,285,empowerment
5085,28841,2019,UK,leader,32,15504,0.002063983,6,285,285,empowerment
5086,28842,2020,UK,leader,48,15622,0.00307259,6,285,285,empowerment
5087,28843,2021,UK,leader,23,10539,0.00218237,6,285,285,empowerment
5088,28900,2010,UK,appoint,1,1504,0.000664894,7,290,290,empowerment
5089,28901,2011,UK,appoint,1,2397,0.000417188,7,290,290,empowerment
5090,28902,2012,UK,appoint,1,3971,0.000251826,7,290,290,empowerment
5091,28903,2013,UK,appoint,8,5869,0.001363094,7,290,290,empowerment
5092,28904,2014,UK,appoint,6,6977,0.000859968,7,290,290,empowerment
5093,28905,2015,UK,appoint,11,8477,0.001297629,7,290,290,empowerment
5094,28906,2016,UK,appoint,10,11237,0.0008899169999999998,7,290,290,empowerment
5095,28907,2017,UK,appoint,12,12426,0.000965717,7,290,290,empowerment
5096,28908,2018,UK,appoint,15,12793,0.001172516,7,290,290,empowerment
5097,28909,2019,UK,appoint,17,15504,0.001096491,7,290,290,empowerment
5098,28910,2020,UK,appoint,22,15622,0.00140827,7,290,290,empowerment
5099,28911,2021,UK,appoint,22,10539,0.002087485,7,290,290,empowerment
5100,28917,2010,UK,emotional,1,1504,0.000664894,9,291,291,female stereotypes
5101,28918,2011,UK,emotional,4,2397,0.0016687529999999998,9,291,291,female stereotypes
5102,28919,2012,UK,emotional,7,3971,0.00176278,9,291,291,female stereotypes
5103,28920,2013,UK,emotional,7,5869,0.001192707,9,291,291,female stereotypes
5104,28921,2014,UK,emotional,14,6977,0.002006593,9,291,291,female stereotypes
5105,28922,2015,UK,emotional,22,8477,0.002595258,9,291,291,female stereotypes
5106,28923,2016,UK,emotional,20,11237,0.001779834,9,291,291,female stereotypes
5107,28924,2017,UK,emotional,33,12426,0.002655722,9,291,291,female stereotypes
5108,28925,2018,UK,emotional,38,12793,0.002970374,9,291,291,female stereotypes
5109,28926,2019,UK,emotional,35,15504,0.0022574820000000003,9,291,291,female stereotypes
5110,28927,2020,UK,emotional,31,15622,0.001984381,9,291,291,female stereotypes
5111,28928,2021,UK,emotional,22,10539,0.002087485,9,291,291,female stereotypes
5148,29104,2010,UK,beautiful,3,1504,0.001994681,9,305,305,female stereotypes
5149,29105,2011,UK,beautiful,10,2397,0.004171882,9,305,305,female stereotypes
5150,29106,2012,UK,beautiful,21,3971,0.00528834,9,305,305,female stereotypes
5151,29107,2013,UK,beautiful,30,5869,0.005111603,9,305,305,female stereotypes
5152,29108,2014,UK,beautiful,24,6977,0.0034398740000000003,9,305,305,female stereotypes
5153,29109,2015,UK,beautiful,43,8477,0.005072549,9,305,305,female stereotypes
5154,29110,2016,UK,beautiful,43,11237,0.003826644,9,305,305,female stereotypes
5155,29111,2017,UK,beautiful,64,12426,0.005150491,9,305,305,female stereotypes
5156,29112,2018,UK,beautiful,48,12793,0.003752052,9,305,305,female stereotypes
5157,29113,2019,UK,beautiful,53,15504,0.003418473,9,305,305,female stereotypes
5158,29114,2020,UK,beautiful,42,15622,0.002688516,9,305,305,female stereotypes
5159,29115,2021,UK,beautiful,61,10539,0.005788025,9,305,305,female stereotypes
5160,29138,2010,UK,kidnap,2,1504,0.001329787,6,307,307,crime and violence
5161,29139,2011,UK,kidnap,2,2397,0.0008343760000000001,6,307,307,crime and violence
5162,29140,2012,UK,kidnap,4,3971,0.001007303,6,307,307,crime and violence
5163,29141,2013,UK,kidnap,15,5869,0.002555802,6,307,307,crime and violence
5164,29142,2014,UK,kidnap,15,6977,0.002149921,6,307,307,crime and violence
5165,29143,2015,UK,kidnap,14,8477,0.001651528,6,307,307,crime and violence
5166,29144,2016,UK,kidnap,29,11237,0.00258076,6,307,307,crime and violence
5167,29145,2017,UK,kidnap,24,12426,0.001931434,6,307,307,crime and violence
5168,29146,2018,UK,kidnap,26,12793,0.002032361,6,307,307,crime and violence
5169,29147,2019,UK,kidnap,38,15504,0.00245098,6,307,307,crime and violence
5170,29148,2020,UK,kidnap,27,15622,0.0017283320000000002,6,307,307,crime and violence
5171,29149,2021,UK,kidnap,40,10539,0.003795427,6,307,307,crime and violence
5172,29172,2010,UK,owner,1,1504,0.000664894,5,309,310,empowerment
5173,29173,2011,UK,owner,4,2397,0.0016687529999999998,5,309,310,empowerment
5174,29174,2012,UK,owner,6,3971,0.001510954,5,309,310,empowerment
5175,29175,2013,UK,owner,8,5869,0.001363094,5,309,310,empowerment
5176,29176,2014,UK,owner,12,6977,0.0017199370000000002,5,309,310,empowerment
5177,29177,2015,UK,owner,9,8477,0.001061696,5,309,310,empowerment
5178,29178,2016,UK,owner,17,11237,0.001512859,5,309,310,empowerment
5179,29179,2017,UK,owner,24,12426,0.001931434,5,309,310,empowerment
5180,29180,2018,UK,owner,17,12793,0.0013288520000000002,5,309,310,empowerment
5181,29181,2019,UK,owner,21,15504,0.001354489,5,309,310,empowerment
5182,29182,2020,UK,owner,32,15622,0.002048393,5,309,310,empowerment
5183,29183,2021,UK,owner,20,10539,0.001897713,5,309,310,empowerment
5208,29376,2010,UK,church,1,1504,0.000664894,6,321,322,"race, ethnicity and identity"
5209,29377,2011,UK,church,3,2397,0.001251564,6,321,322,"race, ethnicity and identity"
5210,29378,2012,UK,church,18,3971,0.004532863,6,321,322,"race, ethnicity and identity"
5211,29379,2013,UK,church,13,5869,0.002215028,6,321,322,"race, ethnicity and identity"
5212,29380,2014,UK,church,18,6977,0.002579905,6,321,322,"race, ethnicity and identity"
5213,29381,2015,UK,church,18,8477,0.002123393,6,321,322,"race, ethnicity and identity"
5214,29382,2016,UK,church,18,11237,0.001601851,6,321,322,"race, ethnicity and identity"
5215,29383,2017,UK,church,16,12426,0.001287623,6,321,322,"race, ethnicity and identity"
5216,29384,2018,UK,church,20,12793,0.001563355,6,321,322,"race, ethnicity and identity"
5217,29385,2019,UK,church,25,15504,0.001612487,6,321,322,"race, ethnicity and identity"
5218,29386,2020,UK,church,13,15622,0.00083216,6,321,322,"race, ethnicity and identity"
5219,29387,2021,UK,church,19,10539,0.001802828,6,321,322,"race, ethnicity and identity"
5220,29393,2010,UK,lead,5,1504,0.003324468,4,325,320,empowerment
5221,29394,2011,UK,lead,9,2397,0.003754693,4,325,320,empowerment
5222,29395,2012,UK,lead,22,3971,0.005540166,4,325,320,empowerment
5223,29396,2013,UK,lead,33,5869,0.005622764000000001,4,325,320,empowerment
5224,29397,2014,UK,lead,53,6977,0.007596388000000002,4,325,320,empowerment
5225,29398,2015,UK,lead,61,8477,0.007195942,4,325,320,empowerment
5226,29399,2016,UK,lead,94,11237,0.008365222,4,325,320,empowerment
5227,29400,2017,UK,lead,86,12426,0.006920971999999999,4,325,320,empowerment
5228,29401,2018,UK,lead,110,12793,0.008598452,4,325,320,empowerment
5229,29402,2019,UK,lead,117,15504,0.00754644,4,325,320,empowerment
5230,29403,2020,UK,lead,129,15622,0.008257585,4,325,320,empowerment
5231,29404,2021,UK,lead,94,10539,0.008919251999999999,4,325,320,empowerment
5232,29546,2010,UK,dream,3,1504,0.001994681,5,336,336,empowerment
5233,29547,2011,UK,dream,6,2397,0.002503129,5,336,336,empowerment
5234,29548,2012,UK,dream,10,3971,0.0025182570000000003,5,336,336,empowerment
5235,29549,2013,UK,dream,17,5869,0.002896575,5,336,336,empowerment
5236,29550,2014,UK,dream,21,6977,0.00300989,5,336,336,empowerment
5237,29551,2015,UK,dream,21,8477,0.002477291,5,336,336,empowerment
5238,29552,2016,UK,dream,35,11237,0.00311471,5,336,336,empowerment
5239,29553,2017,UK,dream,36,12426,0.002897151,5,336,336,empowerment
5240,29554,2018,UK,dream,49,12793,0.00383022,5,336,336,empowerment
5241,29555,2019,UK,dream,61,15504,0.003934469,5,336,336,empowerment
5242,29556,2020,UK,dream,87,15622,0.005569069,5,336,336,empowerment
5243,29557,2021,UK,dream,51,10539,0.004839169,5,336,336,empowerment
5280,29903,2010,UK,mom,4,1504,0.002659574,3,364,364,female stereotypes
5281,29904,2011,UK,mom,8,2397,0.003337505,3,364,364,female stereotypes
5282,29905,2012,UK,mom,20,3971,0.005036515,3,364,364,female stereotypes
5283,29906,2013,UK,mom,25,5869,0.004259669000000001,3,364,364,female stereotypes
5284,29907,2014,UK,mom,12,6977,0.0017199370000000002,3,364,364,female stereotypes
5285,29908,2015,UK,mom,33,8477,0.003892887,3,364,364,female stereotypes
5286,29909,2016,UK,mom,43,11237,0.003826644,3,364,364,female stereotypes
5287,29910,2017,UK,mom,53,12426,0.00426525,3,364,364,female stereotypes
5288,29911,2018,UK,mom,56,12793,0.004377394000000001,3,364,364,female stereotypes
5289,29912,2019,UK,mom,57,15504,0.003676471,3,364,364,female stereotypes
5290,29913,2020,UK,mom,116,15622,0.007425426,3,364,364,female stereotypes
5291,29914,2021,UK,mom,58,10539,0.005503368000000001,3,364,364,female stereotypes
5292,29920,2010,UK,rape,15,1504,0.009973404,4,365,365,crime and violence
5293,29921,2011,UK,rape,20,2397,0.008343763,4,365,365,crime and violence
5294,29922,2012,UK,rape,34,3971,0.008562075,4,365,365,crime and violence
5295,29923,2013,UK,rape,92,5869,0.015675584,4,365,365,crime and violence
5296,29924,2014,UK,rape,131,6977,0.018775978,4,365,365,crime and violence
5297,29925,2015,UK,rape,168,8477,0.019818332,4,365,365,crime and violence
5298,29926,2016,UK,rape,265,11237,0.023582807,4,365,365,crime and violence
5299,29927,2017,UK,rape,235,12426,0.018911959,4,365,365,crime and violence
5300,29928,2018,UK,rape,220,12793,0.017196905,4,365,365,crime and violence
5301,29929,2019,UK,rape,258,15504,0.016640867,4,365,365,crime and violence
5302,29930,2020,UK,rape,206,15622,0.013186532,4,365,365,crime and violence
5303,29931,2021,UK,rape,216,10539,0.020495303,4,365,365,crime and violence
5304,29954,2010,UK,threaten,3,1504,0.001994681,8,367,367,crime and violence
5305,29955,2011,UK,threaten,1,2397,0.000417188,8,367,367,crime and violence
5306,29956,2012,UK,threaten,3,3971,0.000755477,8,367,367,crime and violence
5307,29957,2013,UK,threaten,10,5869,0.001703868,8,367,367,crime and violence
5308,29958,2014,UK,threaten,20,6977,0.002866562,8,367,367,crime and violence
5309,29959,2015,UK,threaten,27,8477,0.0031850890000000003,8,367,367,crime and violence
5310,29960,2016,UK,threaten,39,11237,0.003470677,8,367,367,crime and violence
5311,29961,2017,UK,threaten,57,12426,0.004587155999999999,8,367,367,crime and violence
5312,29962,2018,UK,threaten,44,12793,0.003439381,8,367,367,crime and violence
5313,29963,2019,UK,threaten,59,15504,0.00380547,8,367,367,crime and violence
5314,29964,2020,UK,threaten,59,15622,0.003776725,8,367,367,crime and violence
5315,29965,2021,UK,threaten,43,10539,0.004080083,8,367,367,crime and violence
5316,29971,2010,UK,blood,3,1504,0.001994681,5,368,368,crime and violence
5317,29972,2011,UK,blood,2,2397,0.0008343760000000001,5,368,368,crime and violence
5318,29973,2012,UK,blood,8,3971,0.002014606,5,368,368,crime and violence
5319,29974,2013,UK,blood,10,5869,0.001703868,5,368,368,crime and violence
5320,29975,2014,UK,blood,12,6977,0.0017199370000000002,5,368,368,crime and violence
5321,29976,2015,UK,blood,28,8477,0.003303055,5,368,368,crime and violence
5322,29977,2016,UK,blood,31,11237,0.002758743,5,368,368,crime and violence
5323,29978,2017,UK,blood,27,12426,0.002172863,5,368,368,crime and violence
5324,29979,2018,UK,blood,27,12793,0.002110529,5,368,368,crime and violence
5325,29980,2019,UK,blood,47,15504,0.003031476,5,368,368,crime and violence
5326,29981,2020,UK,blood,28,15622,0.001792344,5,368,368,crime and violence
5327,29982,2021,UK,blood,42,10539,0.003985198,5,368,368,crime and violence
5340,30141,2010,UK,abuse,8,1504,0.005319149,5,378,378,crime and violence
5341,30142,2011,UK,abuse,7,2397,0.002920317,5,378,378,crime and violence
5342,30143,2012,UK,abuse,17,3971,0.004281038,5,378,378,crime and violence
5343,30144,2013,UK,abuse,38,5869,0.006474698,5,378,378,crime and violence
5344,30145,2014,UK,abuse,60,6977,0.008599685,5,378,378,crime and violence
5345,30146,2015,UK,abuse,51,8477,0.006016279,5,378,378,crime and violence
5346,30147,2016,UK,abuse,93,11237,0.00827623,5,378,378,crime and violence
5347,30148,2017,UK,abuse,131,12426,0.010542411000000002,5,378,378,crime and violence
5348,30149,2018,UK,abuse,139,12793,0.010865317,5,378,378,crime and violence
5349,30150,2019,UK,abuse,153,15504,0.009868421,5,378,378,crime and violence
5350,30151,2020,UK,abuse,128,15622,0.008193573000000001,5,378,378,crime and violence
5351,30152,2021,UK,abuse,109,10539,0.010342537,5,378,378,crime and violence
5364,30277,2010,UK,family,12,1504,0.007978723,6,386,386,female stereotypes
5365,30278,2011,UK,family,28,2397,0.011681268,6,386,386,female stereotypes
5366,30279,2012,UK,family,64,3971,0.016116847,6,386,386,female stereotypes
5367,30280,2013,UK,family,100,5869,0.017038678,6,386,386,female stereotypes
5368,30281,2014,UK,family,112,6977,0.016052745,6,386,386,female stereotypes
5369,30282,2015,UK,family,109,8477,0.012858323,6,386,386,female stereotypes
5370,30283,2016,UK,family,129,11237,0.011479932,6,386,386,female stereotypes
5371,30284,2017,UK,family,175,12426,0.014083374,6,386,386,female stereotypes
5372,30285,2018,UK,family,195,12793,0.015242711,6,386,386,female stereotypes
5373,30286,2019,UK,family,210,15504,0.013544892,6,386,386,female stereotypes
5374,30287,2020,UK,family,250,15622,0.016003073,6,386,386,female stereotypes
5375,30288,2021,UK,family,156,10539,0.014802163,6,386,386,female stereotypes
5388,30804,2010,UK,entrepreneur,2,1504,0.001329787,12,419,419,empowerment
5389,30805,2011,UK,entrepreneur,3,2397,0.001251564,12,419,419,empowerment
5390,30806,2012,UK,entrepreneur,1,3971,0.000251826,12,419,419,empowerment
5391,30807,2013,UK,entrepreneur,5,5869,0.0008519339999999999,12,419,419,empowerment
5392,30808,2014,UK,entrepreneur,7,6977,0.001003297,12,419,419,empowerment
5393,30809,2015,UK,entrepreneur,13,8477,0.001533561,12,419,419,empowerment
5394,30810,2016,UK,entrepreneur,16,11237,0.0014238679999999998,12,419,419,empowerment
5395,30811,2017,UK,entrepreneur,12,12426,0.000965717,12,419,419,empowerment
5396,30812,2018,UK,entrepreneur,10,12793,0.0007816769999999999,12,419,419,empowerment
5397,30813,2019,UK,entrepreneur,17,15504,0.001096491,12,419,419,empowerment
5398,30814,2020,UK,entrepreneur,16,15622,0.001024197,12,419,419,empowerment
5399,30815,2021,UK,entrepreneur,22,10539,0.002087485,12,419,419,empowerment
5400,30838,2010,UK,oscar,2,1504,0.001329787,5,421,421,empowerment
5401,30839,2011,UK,oscar,3,2397,0.001251564,5,421,421,empowerment
5402,30840,2012,UK,oscar,9,3971,0.002266432,5,421,421,empowerment
5403,30841,2013,UK,oscar,18,5869,0.003066962,5,421,421,empowerment
5404,30842,2014,UK,oscar,30,6977,0.004299842,5,421,421,empowerment
5405,30843,2015,UK,oscar,15,8477,0.001769494,5,421,421,empowerment
5406,30844,2016,UK,oscar,25,11237,0.002224793,5,421,421,empowerment
5407,30845,2017,UK,oscar,25,12426,0.002011911,5,421,421,empowerment
5408,30846,2018,UK,oscar,42,12793,0.003283045,5,421,421,empowerment
5409,30847,2019,UK,oscar,53,15504,0.003418473,5,421,421,empowerment
5410,30848,2020,UK,oscar,36,15622,0.0023044420000000003,5,421,421,empowerment
5411,30849,2021,UK,oscar,22,10539,0.002087485,5,421,421,empowerment
5412,30872,2010,UK,single,2,1504,0.001329787,6,423,423,female stereotypes
5413,30873,2011,UK,single,12,2397,0.005006258,6,423,423,female stereotypes
5414,30874,2012,UK,single,10,3971,0.0025182570000000003,6,423,423,female stereotypes
5415,30875,2013,UK,single,25,5869,0.004259669000000001,6,423,423,female stereotypes
5416,30876,2014,UK,single,30,6977,0.004299842,6,423,423,female stereotypes
5417,30877,2015,UK,single,32,8477,0.00377492,6,423,423,female stereotypes
5418,30878,2016,UK,single,59,11237,0.005250512,6,423,423,female stereotypes
5419,30879,2017,UK,single,48,12426,0.003862868,6,423,423,female stereotypes
5420,30880,2018,UK,single,46,12793,0.003595716,6,423,423,female stereotypes
5421,30881,2019,UK,single,58,15504,0.00374097,6,423,423,female stereotypes
5422,30882,2020,UK,single,46,15622,0.002944565,6,423,423,female stereotypes
5423,30883,2021,UK,single,22,10539,0.002087485,6,423,423,female stereotypes
5436,31008,2010,UK,princess,4,1504,0.002659574,8,431,431,female stereotypes
5437,31009,2011,UK,princess,15,2397,0.006257822,8,431,431,female stereotypes
5438,31010,2012,UK,princess,10,3971,0.0025182570000000003,8,431,431,female stereotypes
5439,31011,2013,UK,princess,37,5869,0.006304311,8,431,431,female stereotypes
5440,31012,2014,UK,princess,12,6977,0.0017199370000000002,8,431,431,female stereotypes
5441,31013,2015,UK,princess,20,8477,0.002359325,8,431,431,female stereotypes
5442,31014,2016,UK,princess,31,11237,0.002758743,8,431,431,female stereotypes
5443,31015,2017,UK,princess,73,12426,0.005874779,8,431,431,female stereotypes
5444,31016,2018,UK,princess,76,12793,0.005940749,8,431,431,female stereotypes
5445,31017,2019,UK,princess,92,15504,0.0059339530000000005,8,431,431,female stereotypes
5446,31018,2020,UK,princess,107,15622,0.006849315,8,431,431,female stereotypes
5447,31019,2021,UK,princess,43,10539,0.004080083,8,431,431,female stereotypes
5448,31059,2010,UK,daughter,23,1504,0.015292553,8,435,435,female stereotypes
5449,31060,2011,UK,daughter,33,2397,0.013767209,8,435,435,female stereotypes
5450,31061,2012,UK,daughter,64,3971,0.016116847,8,435,435,female stereotypes
5451,31062,2013,UK,daughter,111,5869,0.018912932,8,435,435,female stereotypes
5452,31063,2014,UK,daughter,108,6977,0.015479432,8,435,435,female stereotypes
5453,31064,2015,UK,daughter,138,8477,0.016279343999999998,8,435,435,female stereotypes
5454,31065,2016,UK,daughter,224,11237,0.019934146,8,435,435,female stereotypes
5455,31066,2017,UK,daughter,187,12426,0.015049091,8,435,435,female stereotypes
5456,31067,2018,UK,daughter,221,12793,0.017275072,8,435,435,female stereotypes
5457,31068,2019,UK,daughter,254,15504,0.016382868999999998,8,435,435,female stereotypes
5458,31069,2020,UK,daughter,288,15622,0.01843554,8,435,435,female stereotypes
5459,31070,2021,UK,daughter,243,10539,0.023057216,8,435,435,female stereotypes
5472,31110,2010,UK,inspire,3,1504,0.001994681,7,439,439,empowerment
5473,31111,2011,UK,inspire,11,2397,0.00458907,7,439,439,empowerment
5474,31112,2012,UK,inspire,9,3971,0.002266432,7,439,439,empowerment
5475,31113,2013,UK,inspire,13,5869,0.002215028,7,439,439,empowerment
5476,31114,2014,UK,inspire,22,6977,0.003153218,7,439,439,empowerment
5477,31115,2015,UK,inspire,36,8477,0.004246785,7,439,439,empowerment
5478,31116,2016,UK,inspire,60,11237,0.005339503000000001,7,439,439,empowerment
5479,31117,2017,UK,inspire,42,12426,0.00338001,7,439,439,empowerment
5480,31118,2018,UK,inspire,35,12793,0.002735871,7,439,439,empowerment
5481,31119,2019,UK,inspire,55,15504,0.0035474720000000007,7,439,439,empowerment
5482,31120,2020,UK,inspire,45,15622,0.002880553,7,439,439,empowerment
5483,31121,2021,UK,inspire,31,10539,0.002941456,7,439,439,empowerment
5496,31212,2010,UK,weight,4,1504,0.002659574,6,445,445,female stereotypes
5497,31213,2011,UK,weight,4,2397,0.0016687529999999998,6,445,445,female stereotypes
5498,31214,2012,UK,weight,19,3971,0.004784689,6,445,445,female stereotypes
5499,31215,2013,UK,weight,30,5869,0.005111603,6,445,445,female stereotypes
5500,31216,2014,UK,weight,29,6977,0.004156514,6,445,445,female stereotypes
5501,31217,2015,UK,weight,30,8477,0.003538988,6,445,445,female stereotypes
5502,31218,2016,UK,weight,54,11237,0.004805553,6,445,445,female stereotypes
5503,31219,2017,UK,weight,48,12426,0.003862868,6,445,445,female stereotypes
5504,31220,2018,UK,weight,32,12793,0.002501368,6,445,445,female stereotypes
5505,31221,2019,UK,weight,42,15504,0.002708978,6,445,445,female stereotypes
5506,31222,2020,UK,weight,45,15622,0.002880553,6,445,445,female stereotypes
5507,31223,2021,UK,weight,40,10539,0.003795427,6,445,445,female stereotypes
5508,31229,2010,UK,protest,3,1504,0.001994681,7,446,446,empowerment
5509,31230,2011,UK,protest,6,2397,0.002503129,7,446,446,empowerment
5510,31231,2012,UK,protest,8,3971,0.002014606,7,446,446,empowerment
5511,31232,2013,UK,protest,10,5869,0.001703868,7,446,446,empowerment
5512,31233,2014,UK,protest,16,6977,0.002293249,7,446,446,empowerment
5513,31234,2015,UK,protest,37,8477,0.004364752,7,446,446,empowerment
5514,31235,2016,UK,protest,30,11237,0.002669752,7,446,446,empowerment
5515,31236,2017,UK,protest,31,12426,0.002494769,7,446,446,empowerment
5516,31237,2018,UK,protest,41,12793,0.003204878,7,446,446,empowerment
5517,31238,2019,UK,protest,45,15504,0.002902477,7,446,446,empowerment
5518,31239,2020,UK,protest,70,15622,0.00448086,7,446,446,empowerment
5519,31240,2021,UK,protest,30,10539,0.00284657,7,446,446,empowerment
5520,31263,2010,UK,divorce,2,1504,0.001329787,7,448,448,female stereotypes
5521,31264,2011,UK,divorce,6,2397,0.002503129,7,448,448,female stereotypes
5522,31265,2012,UK,divorce,10,3971,0.0025182570000000003,7,448,448,female stereotypes
5523,31266,2013,UK,divorce,14,5869,0.002385415,7,448,448,female stereotypes
5524,31267,2014,UK,divorce,14,6977,0.002006593,7,448,448,female stereotypes
5525,31268,2015,UK,divorce,22,8477,0.002595258,7,448,448,female stereotypes
5526,31269,2016,UK,divorce,28,11237,0.002491768,7,448,448,female stereotypes
5527,31270,2017,UK,divorce,26,12426,0.002092387,7,448,448,female stereotypes
5528,31271,2018,UK,divorce,36,12793,0.0028140390000000004,7,448,448,female stereotypes
5529,31272,2019,UK,divorce,36,15504,0.002321981,7,448,448,female stereotypes
5530,31273,2020,UK,divorce,33,15622,0.0021124060000000003,7,448,448,female stereotypes
5531,31274,2021,UK,divorce,20,10539,0.001897713,7,448,448,female stereotypes
5532,31331,2010,UK,survivor,1,1504,0.000664894,8,453,454,empowerment
5533,31332,2011,UK,survivor,0,2397,0.0,8,453,454,empowerment
5534,31333,2012,UK,survivor,9,3971,0.002266432,8,453,454,empowerment
5535,31334,2013,UK,survivor,11,5869,0.001874255,8,453,454,empowerment
5536,31335,2014,UK,survivor,9,6977,0.001289953,8,453,454,empowerment
5537,31336,2015,UK,survivor,9,8477,0.001061696,8,453,454,empowerment
5538,31337,2016,UK,survivor,16,11237,0.0014238679999999998,8,453,454,empowerment
5539,31338,2017,UK,survivor,23,12426,0.001850958,8,453,454,empowerment
5540,31339,2018,UK,survivor,18,12793,0.001407019,8,453,454,empowerment
5541,31340,2019,UK,survivor,22,15504,0.0014189889999999998,8,453,454,empowerment
5542,31341,2020,UK,survivor,20,15622,0.001280246,8,453,454,empowerment
5543,31342,2021,UK,survivor,10,10539,0.000948857,8,453,454,empowerment
5556,31382,2010,UK,white,6,1504,0.003989362,5,456,456,"race, ethnicity and identity"
5557,31383,2011,UK,white,14,2397,0.005840634,5,456,456,"race, ethnicity and identity"
5558,31384,2012,UK,white,18,3971,0.004532863,5,456,456,"race, ethnicity and identity"
5559,31385,2013,UK,white,32,5869,0.005452377,5,456,456,"race, ethnicity and identity"
5560,31386,2014,UK,white,32,6977,0.004586498,5,456,456,"race, ethnicity and identity"
5561,31387,2015,UK,white,36,8477,0.004246785,5,456,456,"race, ethnicity and identity"
5562,31388,2016,UK,white,78,11237,0.006941354,5,456,456,"race, ethnicity and identity"
5563,31389,2017,UK,white,113,12426,0.009093836,5,456,456,"race, ethnicity and identity"
5564,31390,2018,UK,white,119,12793,0.009301962,5,456,456,"race, ethnicity and identity"
5565,31391,2019,UK,white,98,15504,0.006320949,5,456,456,"race, ethnicity and identity"
5566,31392,2020,UK,white,122,15622,0.007809499,5,456,456,"race, ethnicity and identity"
5567,31393,2021,UK,white,59,10539,0.005598254,5,456,456,"race, ethnicity and identity"
5568,31467,2010,UK,hate,2,1504,0.001329787,4,461,462,crime and violence
5569,31468,2011,UK,hate,5,2397,0.002085941,4,461,462,crime and violence
5570,31469,2012,UK,hate,11,3971,0.002770083,4,461,462,crime and violence
5571,31470,2013,UK,hate,16,5869,0.002726188,4,461,462,crime and violence
5572,31471,2014,UK,hate,23,6977,0.003296546,4,461,462,crime and violence
5573,31472,2015,UK,hate,27,8477,0.0031850890000000003,4,461,462,crime and violence
5574,31473,2016,UK,hate,35,11237,0.00311471,4,461,462,crime and violence
5575,31474,2017,UK,hate,44,12426,0.003540962,4,461,462,crime and violence
5576,31475,2018,UK,hate,26,12793,0.002032361,4,461,462,crime and violence
5577,31476,2019,UK,hate,25,15504,0.001612487,4,461,462,crime and violence
5578,31477,2020,UK,hate,47,15622,0.003008578,4,461,462,crime and violence
5579,31478,2021,UK,hate,19,10539,0.001802828,4,461,462,crime and violence
5580,31484,2010,UK,lawyer,2,1504,0.001329787,6,462,463,empowerment
5581,31485,2011,UK,lawyer,3,2397,0.001251564,6,462,463,empowerment
5582,31486,2012,UK,lawyer,4,3971,0.001007303,6,462,463,empowerment
5583,31487,2013,UK,lawyer,4,5869,0.000681547,6,462,463,empowerment
5584,31488,2014,UK,lawyer,8,6977,0.001146625,6,462,463,empowerment
5585,31489,2015,UK,lawyer,17,8477,0.0020054260000000003,6,462,463,empowerment
5586,31490,2016,UK,lawyer,12,11237,0.001067901,6,462,463,empowerment
5587,31491,2017,UK,lawyer,11,12426,0.000885241,6,462,463,empowerment
5588,31492,2018,UK,lawyer,16,12793,0.001250684,6,462,463,empowerment
5589,31493,2019,UK,lawyer,23,15504,0.0014834879999999998,6,462,463,empowerment
5590,31494,2020,UK,lawyer,13,15622,0.00083216,6,462,463,empowerment
5591,31495,2021,UK,lawyer,19,10539,0.001802828,6,462,463,empowerment
5604,31620,2010,UK,cry,2,1504,0.001329787,3,473,473,female stereotypes
5605,31621,2011,UK,cry,4,2397,0.0016687529999999998,3,473,473,female stereotypes
5606,31622,2012,UK,cry,2,3971,0.000503651,3,473,473,female stereotypes
5607,31623,2013,UK,cry,13,5869,0.002215028,3,473,473,female stereotypes
5608,31624,2014,UK,cry,28,6977,0.004013186,3,473,473,female stereotypes
5609,31625,2015,UK,cry,27,8477,0.0031850890000000003,3,473,473,female stereotypes
5610,31626,2016,UK,cry,33,11237,0.002936727,3,473,473,female stereotypes
5611,31627,2017,UK,cry,52,12426,0.0041847740000000005,3,473,473,female stereotypes
5612,31628,2018,UK,cry,57,12793,0.004455562,3,473,473,female stereotypes
5613,31629,2019,UK,cry,32,15504,0.002063983,3,473,473,female stereotypes
5614,31630,2020,UK,cry,40,15622,0.002560492,3,473,473,female stereotypes
5615,31631,2021,UK,cry,18,10539,0.001707942,3,473,473,female stereotypes
5616,31654,2010,UK,investigate,2,1504,0.001329787,11,475,475,crime and violence
5617,31655,2011,UK,investigate,1,2397,0.000417188,11,475,475,crime and violence
5618,31656,2012,UK,investigate,1,3971,0.000251826,11,475,475,crime and violence
5619,31657,2013,UK,investigate,7,5869,0.001192707,11,475,475,crime and violence
5620,31658,2014,UK,investigate,13,6977,0.001863265,11,475,475,crime and violence
5621,31659,2015,UK,investigate,9,8477,0.001061696,11,475,475,crime and violence
5622,31660,2016,UK,investigate,7,11237,0.0006229419999999999,11,475,475,crime and violence
5623,31661,2017,UK,investigate,22,12426,0.001770481,11,475,475,crime and violence
5624,31662,2018,UK,investigate,14,12793,0.001094348,11,475,475,crime and violence
5625,31663,2019,UK,investigate,24,15504,0.001547988,11,475,475,crime and violence
5626,31664,2020,UK,investigate,16,15622,0.001024197,11,475,475,crime and violence
5627,31665,2021,UK,investigate,18,10539,0.001707942,11,475,475,crime and violence
5628,31756,2010,UK,security,1,1504,0.000664894,8,487,487,crime and violence
5629,31757,2011,UK,security,0,2397,0.0,8,487,487,crime and violence
5630,31758,2012,UK,security,2,3971,0.000503651,8,487,487,crime and violence
5631,31759,2013,UK,security,5,5869,0.0008519339999999999,8,487,487,crime and violence
5632,31760,2014,UK,security,8,6977,0.001146625,8,487,487,crime and violence
5633,31761,2015,UK,security,9,8477,0.001061696,8,487,487,crime and violence
5634,31762,2016,UK,security,14,11237,0.0012458839999999998,8,487,487,crime and violence
5635,31763,2017,UK,security,16,12426,0.001287623,8,487,487,crime and violence
5636,31764,2018,UK,security,19,12793,0.001485187,8,487,487,crime and violence
5637,31765,2019,UK,security,11,15504,0.000709494,8,487,487,crime and violence
5638,31766,2020,UK,security,15,15622,0.000960184,8,487,487,crime and violence
5639,31767,2021,UK,security,9,10539,0.000853971,8,487,487,crime and violence
5640,31790,2010,UK,writer,1,1504,0.000664894,6,489,489,empowerment
5641,31791,2011,UK,writer,2,2397,0.0008343760000000001,6,489,489,empowerment
5642,31792,2012,UK,writer,6,3971,0.001510954,6,489,489,empowerment
5643,31793,2013,UK,writer,8,5869,0.001363094,6,489,489,empowerment
5644,31794,2014,UK,writer,16,6977,0.002293249,6,489,489,empowerment
5645,31795,2015,UK,writer,7,8477,0.000825764,6,489,489,empowerment
5646,31796,2016,UK,writer,21,11237,0.001868826,6,489,489,empowerment
5647,31797,2017,UK,writer,24,12426,0.001931434,6,489,489,empowerment
5648,31798,2018,UK,writer,22,12793,0.00171969,6,489,489,empowerment
5649,31799,2019,UK,writer,15,15504,0.000967492,6,489,489,empowerment
5650,31800,2020,UK,writer,20,15622,0.001280246,6,489,489,empowerment
5651,31801,2021,UK,writer,9,10539,0.000853971,6,489,489,empowerment
5676,32011,2010,UK,strong,2,1504,0.001329787,6,502,502,empowerment
5677,32012,2011,UK,strong,5,2397,0.002085941,6,502,502,empowerment
5678,32013,2012,UK,strong,7,3971,0.00176278,6,502,502,empowerment
5679,32014,2013,UK,strong,16,5869,0.002726188,6,502,502,empowerment
5680,32015,2014,UK,strong,13,6977,0.001863265,6,502,502,empowerment
5681,32016,2015,UK,strong,13,8477,0.001533561,6,502,502,empowerment
5682,32017,2016,UK,strong,16,11237,0.0014238679999999998,6,502,502,empowerment
5683,32018,2017,UK,strong,25,12426,0.002011911,6,502,502,empowerment
5684,32019,2018,UK,strong,31,12793,0.0024232,6,502,502,empowerment
5685,32020,2019,UK,strong,30,15504,0.001934985,6,502,502,empowerment
5686,32021,2020,UK,strong,31,15622,0.001984381,6,502,502,empowerment
5687,32022,2021,UK,strong,17,10539,0.001613056,6,502,502,empowerment
5688,32079,2010,UK,victim,5,1504,0.003324468,6,506,507,female stereotypes
5689,32080,2011,UK,victim,15,2397,0.006257822,6,506,507,female stereotypes
5690,32081,2012,UK,victim,37,3971,0.009317552,6,506,507,female stereotypes
5691,32082,2013,UK,victim,51,5869,0.008689726,6,506,507,female stereotypes
5692,32083,2014,UK,victim,57,6977,0.0081697,6,506,507,female stereotypes
5693,32084,2015,UK,victim,60,8477,0.007077976,6,506,507,female stereotypes
5694,32085,2016,UK,victim,90,11237,0.008009255,6,506,507,female stereotypes
5695,32086,2017,UK,victim,108,12426,0.008691453,6,506,507,female stereotypes
5696,32087,2018,UK,victim,82,12793,0.006409755,6,506,507,female stereotypes
5697,32088,2019,UK,victim,89,15504,0.005740454,6,506,507,female stereotypes
5698,32089,2020,UK,victim,82,15622,0.005249008,6,506,507,female stereotypes
5699,32090,2021,UK,victim,41,10539,0.003890312,6,506,507,female stereotypes
5700,32096,2010,UK,first,46,1504,0.030585106,5,507,506,empowerment
5701,32097,2011,UK,first,70,2397,0.029203171,5,507,506,empowerment
5702,32098,2012,UK,first,132,3971,0.033240997,5,507,506,empowerment
5703,32099,2013,UK,first,154,5869,0.026239564,5,507,506,empowerment
5704,32100,2014,UK,first,216,6977,0.030958865,5,507,506,empowerment
5705,32101,2015,UK,first,244,8477,0.028783768,5,507,506,empowerment
5706,32102,2016,UK,first,351,11237,0.031236095,5,507,506,empowerment
5707,32103,2017,UK,first,471,12426,0.037904394,5,507,506,empowerment
5708,32104,2018,UK,first,524,12793,0.0409599,5,507,506,empowerment
5709,32105,2019,UK,first,557,15504,0.035926213,5,507,506,empowerment
5710,32106,2020,UK,first,540,15622,0.034566637000000004,5,507,506,empowerment
5711,32107,2021,UK,first,377,10539,0.035771895,5,507,506,empowerment
5712,32113,2010,UK,director,4,1504,0.002659574,8,508,508,empowerment
5713,32114,2011,UK,director,7,2397,0.002920317,8,508,508,empowerment
5714,32115,2012,UK,director,9,3971,0.002266432,8,508,508,empowerment
5715,32116,2013,UK,director,18,5869,0.003066962,8,508,508,empowerment
5716,32117,2014,UK,director,16,6977,0.002293249,8,508,508,empowerment
5717,32118,2015,UK,director,17,8477,0.0020054260000000003,8,508,508,empowerment
5718,32119,2016,UK,director,26,11237,0.002313785,8,508,508,empowerment
5719,32120,2017,UK,director,52,12426,0.0041847740000000005,8,508,508,empowerment
5720,32121,2018,UK,director,47,12793,0.003673884,8,508,508,empowerment
5721,32122,2019,UK,director,42,15504,0.002708978,8,508,508,empowerment
5722,32123,2020,UK,director,66,15622,0.004224811,8,508,508,empowerment
5723,32124,2021,UK,director,32,10539,0.003036341,8,508,508,empowerment
5736,32266,2010,UK,saudi,1,1504,0.000664894,5,518,519,"race, ethnicity and identity"
5737,32267,2011,UK,saudi,6,2397,0.002503129,5,518,519,"race, ethnicity and identity"
5738,32268,2012,UK,saudi,17,3971,0.004281038,5,518,519,"race, ethnicity and identity"
5739,32269,2013,UK,saudi,22,5869,0.003748509,5,518,519,"race, ethnicity and identity"
5740,32270,2014,UK,saudi,9,6977,0.001289953,5,518,519,"race, ethnicity and identity"
5741,32271,2015,UK,saudi,29,8477,0.003421022,5,518,519,"race, ethnicity and identity"
5742,32272,2016,UK,saudi,34,11237,0.003025719,5,518,519,"race, ethnicity and identity"
5743,32273,2017,UK,saudi,52,12426,0.0041847740000000005,5,518,519,"race, ethnicity and identity"
5744,32274,2018,UK,saudi,54,12793,0.004221058,5,518,519,"race, ethnicity and identity"
5745,32275,2019,UK,saudi,47,15504,0.003031476,5,518,519,"race, ethnicity and identity"
5746,32276,2020,UK,saudi,16,15622,0.001024197,5,518,519,"race, ethnicity and identity"
5747,32277,2021,UK,saudi,8,10539,0.000759085,5,518,519,"race, ethnicity and identity"
5784,32470,2010,UK,drama,2,1504,0.001329787,5,532,532,female stereotypes
5785,32471,2011,UK,drama,5,2397,0.002085941,5,532,532,female stereotypes
5786,32472,2012,UK,drama,7,3971,0.00176278,5,532,532,female stereotypes
5787,32473,2013,UK,drama,4,5869,0.000681547,5,532,532,female stereotypes
5788,32474,2014,UK,drama,10,6977,0.001433281,5,532,532,female stereotypes
5789,32475,2015,UK,drama,12,8477,0.001415595,5,532,532,female stereotypes
5790,32476,2016,UK,drama,20,11237,0.001779834,5,532,532,female stereotypes
5791,32477,2017,UK,drama,16,12426,0.001287623,5,532,532,female stereotypes
5792,32478,2018,UK,drama,23,12793,0.0017978579999999996,5,532,532,female stereotypes
5793,32479,2019,UK,drama,20,15504,0.00128999,5,532,532,female stereotypes
5794,32480,2020,UK,drama,34,15622,0.002176418,5,532,532,female stereotypes
5795,32481,2021,UK,drama,15,10539,0.001423285,5,532,532,female stereotypes
5832,32640,2010,UK,boss,8,1504,0.005319149,4,542,542,empowerment
5833,32641,2011,UK,boss,5,2397,0.002085941,4,542,542,empowerment
5834,32642,2012,UK,boss,13,3971,0.003273735,4,542,542,empowerment
5835,32643,2013,UK,boss,25,5869,0.004259669000000001,4,542,542,empowerment
5836,32644,2014,UK,boss,21,6977,0.00300989,4,542,542,empowerment
5837,32645,2015,UK,boss,45,8477,0.005308482,4,542,542,empowerment
5838,32646,2016,UK,boss,48,11237,0.004271603,4,542,542,empowerment
5839,32647,2017,UK,boss,35,12426,0.002816675,4,542,542,empowerment
5840,32648,2018,UK,boss,48,12793,0.003752052,4,542,542,empowerment
5841,32649,2019,UK,boss,50,15504,0.003224974,4,542,542,empowerment
5842,32650,2020,UK,boss,59,15622,0.003776725,4,542,542,empowerment
5843,32651,2021,UK,boss,56,10539,0.005313597,4,542,542,empowerment
5844,32742,2010,UK,feminist,1,1504,0.000664894,8,550,550,empowerment
5845,32743,2011,UK,feminist,2,2397,0.0008343760000000001,8,550,550,empowerment
5846,32744,2012,UK,feminist,11,3971,0.002770083,8,550,550,empowerment
5847,32745,2013,UK,feminist,15,5869,0.002555802,8,550,550,empowerment
5848,32746,2014,UK,feminist,27,6977,0.003869858,8,550,550,empowerment
5849,32747,2015,UK,feminist,41,8477,0.0048366170000000005,8,550,550,empowerment
5850,32748,2016,UK,feminist,39,11237,0.003470677,8,550,550,empowerment
5851,32749,2017,UK,feminist,40,12426,0.003219057,8,550,550,empowerment
5852,32750,2018,UK,feminist,39,12793,0.003048542,8,550,550,empowerment
5853,32751,2019,UK,feminist,24,15504,0.001547988,8,550,550,empowerment
5854,32752,2020,UK,feminist,27,15622,0.0017283320000000002,8,550,550,empowerment
5855,32753,2021,UK,feminist,7,10539,0.0006642,8,550,550,empowerment
5868,32844,2010,UK,accuse,15,1504,0.009973404,6,557,557,crime and violence
5869,32845,2011,UK,accuse,14,2397,0.005840634,6,557,557,crime and violence
5870,32846,2012,UK,accuse,22,3971,0.005540166,6,557,557,crime and violence
5871,32847,2013,UK,accuse,45,5869,0.007667405,6,557,557,crime and violence
5872,32848,2014,UK,accuse,51,6977,0.0073097319999999985,6,557,557,crime and violence
5873,32849,2015,UK,accuse,65,8477,0.007667807,6,557,557,crime and violence
5874,32850,2016,UK,accuse,112,11237,0.009967073,6,557,557,crime and violence
5875,32851,2017,UK,accuse,144,12426,0.011588605,6,557,557,crime and violence
5876,32852,2018,UK,accuse,182,12793,0.01422653,6,557,557,crime and violence
5877,32853,2019,UK,accuse,169,15504,0.010900413,6,557,557,crime and violence
5878,32854,2020,UK,accuse,131,15622,0.00838561,6,557,557,crime and violence
5879,32855,2021,UK,accuse,100,10539,0.009488566,6,557,557,crime and violence
5880,32895,2010,UK,trial,5,1504,0.003324468,5,560,560,crime and violence
5881,32896,2011,UK,trial,8,2397,0.003337505,5,560,560,crime and violence
5882,32897,2012,UK,trial,9,3971,0.002266432,5,560,560,crime and violence
5883,32898,2013,UK,trial,27,5869,0.004600443,5,560,560,crime and violence
5884,32899,2014,UK,trial,25,6977,0.003583202,5,560,560,crime and violence
5885,32900,2015,UK,trial,19,8477,0.002241359,5,560,560,crime and violence
5886,32901,2016,UK,trial,30,11237,0.002669752,5,560,560,crime and violence
5887,32902,2017,UK,trial,35,12426,0.002816675,5,560,560,crime and violence
5888,32903,2018,UK,trial,27,12793,0.002110529,5,560,560,crime and violence
5889,32904,2019,UK,trial,42,15504,0.002708978,5,560,560,crime and violence
5890,32905,2020,UK,trial,51,15622,0.003264627,5,560,560,crime and violence
5891,32906,2021,UK,trial,33,10539,0.0031312270000000003,5,560,560,crime and violence
5904,33184,2010,UK,marry,8,1504,0.005319149,5,580,580,female stereotypes
5905,33185,2011,UK,marry,28,2397,0.011681268,5,580,580,female stereotypes
5906,33186,2012,UK,marry,20,3971,0.005036515,5,580,580,female stereotypes
5907,33187,2013,UK,marry,40,5869,0.006815471,5,580,580,female stereotypes
5908,33188,2014,UK,marry,38,6977,0.005446466999999999,5,580,580,female stereotypes
5909,33189,2015,UK,marry,50,8477,0.0058983130000000005,5,580,580,female stereotypes
5910,33190,2016,UK,marry,73,11237,0.006496396,5,580,580,female stereotypes
5911,33191,2017,UK,marry,76,12426,0.006116208000000001,5,580,580,female stereotypes
5912,33192,2018,UK,marry,65,12793,0.005080904,5,580,580,female stereotypes
5913,33193,2019,UK,marry,103,15504,0.006643446999999999,5,580,580,female stereotypes
5914,33194,2020,UK,marry,82,15622,0.005249008,5,580,580,female stereotypes
5915,33195,2021,UK,marry,48,10539,0.004554512,5,580,580,female stereotypes
5916,33320,2010,UK,pink,2,1504,0.001329787,4,589,589,female stereotypes
5917,33321,2011,UK,pink,5,2397,0.002085941,4,589,589,female stereotypes
5918,33322,2012,UK,pink,12,3971,0.003021909,4,589,589,female stereotypes
5919,33323,2013,UK,pink,14,5869,0.002385415,4,589,589,female stereotypes
5920,33324,2014,UK,pink,8,6977,0.001146625,4,589,589,female stereotypes
5921,33325,2015,UK,pink,12,8477,0.001415595,4,589,589,female stereotypes
5922,33326,2016,UK,pink,24,11237,0.002135801,4,589,589,female stereotypes
5923,33327,2017,UK,pink,23,12426,0.001850958,4,589,589,female stereotypes
5924,33328,2018,UK,pink,22,12793,0.00171969,4,589,589,female stereotypes
5925,33329,2019,UK,pink,29,15504,0.001870485,4,589,589,female stereotypes
5926,33330,2020,UK,pink,20,15622,0.001280246,4,589,589,female stereotypes
5927,33331,2021,UK,pink,12,10539,0.001138628,4,589,589,female stereotypes
5928,33371,2010,UK,success,1,1504,0.000664894,7,593,594,empowerment
5929,33372,2011,UK,success,2,2397,0.0008343760000000001,7,593,594,empowerment
5930,33373,2012,UK,success,11,3971,0.002770083,7,593,594,empowerment
5931,33374,2013,UK,success,13,5869,0.002215028,7,593,594,empowerment
5932,33375,2014,UK,success,12,6977,0.0017199370000000002,7,593,594,empowerment
5933,33376,2015,UK,success,14,8477,0.001651528,7,593,594,empowerment
5934,33377,2016,UK,success,15,11237,0.001334876,7,593,594,empowerment
5935,33378,2017,UK,success,16,12426,0.001287623,7,593,594,empowerment
5936,33379,2018,UK,success,16,12793,0.001250684,7,593,594,empowerment
5937,33380,2019,UK,success,24,15504,0.001547988,7,593,594,empowerment
5938,33381,2020,UK,success,13,15622,0.00083216,7,593,594,empowerment
5939,33382,2021,UK,success,6,10539,0.000569314,7,593,594,empowerment
5940,33388,2010,UK,child,24,1504,0.015957447,5,594,590,female stereotypes
5941,33389,2011,UK,child,35,2397,0.014601585,5,594,590,female stereotypes
5942,33390,2012,UK,child,71,3971,0.017879627,5,594,590,female stereotypes
5943,33391,2013,UK,child,105,5869,0.017890612,5,594,590,female stereotypes
5944,33392,2014,UK,child,138,6977,0.019779275,5,594,590,female stereotypes
5945,33393,2015,UK,child,147,8477,0.01734104,5,594,590,female stereotypes
5946,33394,2016,UK,child,205,11237,0.018243303,5,594,590,female stereotypes
5947,33395,2017,UK,child,223,12426,0.017946242,5,594,590,female stereotypes
5948,33396,2018,UK,child,236,12793,0.018447589,5,594,590,female stereotypes
5949,33397,2019,UK,child,307,15504,0.019801342,5,594,590,female stereotypes
5950,33398,2020,UK,child,273,15622,0.017475355,5,594,590,female stereotypes
5951,33399,2021,UK,child,143,10539,0.01356865,5,594,590,female stereotypes
5964,33456,2010,UK,force,10,1504,0.006648935999999999,5,599,599,crime and violence
5965,33457,2011,UK,force,8,2397,0.003337505,5,599,599,crime and violence
5966,33458,2012,UK,force,16,3971,0.004029212,5,599,599,crime and violence
5967,33459,2013,UK,force,40,5869,0.006815471,5,599,599,crime and violence
5968,33460,2014,UK,force,55,6977,0.007883044,5,599,599,crime and violence
5969,33461,2015,UK,force,74,8477,0.008729503000000001,5,599,599,crime and violence
5970,33462,2016,UK,force,90,11237,0.008009255,5,599,599,crime and violence
5971,33463,2017,UK,force,103,12426,0.008289071,5,599,599,crime and violence
5972,33464,2018,UK,force,83,12793,0.0064879230000000005,5,599,599,crime and violence
5973,33465,2019,UK,force,133,15504,0.008578431,5,599,599,crime and violence
5974,33466,2020,UK,force,119,15622,0.007617463,5,599,599,crime and violence
5975,33467,2021,UK,force,57,10539,0.005408483,5,599,599,crime and violence
5988,33524,2010,UK,fear,9,1504,0.0059840430000000005,4,603,603,female stereotypes
5989,33525,2011,UK,fear,9,2397,0.003754693,4,603,603,female stereotypes
5990,33526,2012,UK,fear,22,3971,0.005540166,4,603,603,female stereotypes
5991,33527,2013,UK,fear,23,5869,0.003918896,4,603,603,female stereotypes
5992,33528,2014,UK,fear,28,6977,0.004013186,4,603,603,female stereotypes
5993,33529,2015,UK,fear,46,8477,0.005426448,4,603,603,female stereotypes
5994,33530,2016,UK,fear,66,11237,0.005873454,4,603,603,female stereotypes
5995,33531,2017,UK,fear,51,12426,0.004104297,4,603,603,female stereotypes
5996,33532,2018,UK,fear,62,12793,0.0048464,4,603,603,female stereotypes
5997,33533,2019,UK,fear,67,15504,0.004321465,4,603,603,female stereotypes
5998,33534,2020,UK,fear,116,15622,0.007425426,4,603,603,female stereotypes
5999,33535,2021,UK,fear,50,10539,0.004744283,4,603,603,female stereotypes
6012,33643,2010,UK,death,43,1504,0.028590426,5,612,612,crime and violence
6013,33644,2011,UK,death,40,2397,0.016687526,5,612,612,crime and violence
6014,33645,2012,UK,death,70,3971,0.017627801999999998,5,612,612,crime and violence
6015,33646,2013,UK,death,181,5869,0.030840007000000006,5,612,612,crime and violence
6016,33647,2014,UK,death,173,6977,0.024795757,5,612,612,crime and violence
6017,33648,2015,UK,death,171,8477,0.020172231,5,612,612,crime and violence
6018,33649,2016,UK,death,234,11237,0.020824063,5,612,612,crime and violence
6019,33650,2017,UK,death,246,12426,0.019797199,5,612,612,crime and violence
6020,33651,2018,UK,death,266,12793,0.020792621,5,612,612,crime and violence
6021,33652,2019,UK,death,372,15504,0.023993808,5,612,612,crime and violence
6022,33653,2020,UK,death,371,15622,0.02374856,5,612,612,crime and violence
6023,33654,2021,UK,death,232,10539,0.022013474,5,612,612,crime and violence
6024,33660,2010,UK,dress,9,1504,0.0059840430000000005,5,613,613,female stereotypes
6025,33661,2011,UK,dress,30,2397,0.012515645,5,613,613,female stereotypes
6026,33662,2012,UK,dress,40,3971,0.010073029,5,613,613,female stereotypes
6027,33663,2013,UK,dress,47,5869,0.008008179,5,613,613,female stereotypes
6028,33664,2014,UK,dress,70,6977,0.010032965,5,613,613,female stereotypes
6029,33665,2015,UK,dress,75,8477,0.00884747,5,613,613,female stereotypes
6030,33666,2016,UK,dress,102,11237,0.009077156,5,613,613,female stereotypes
6031,33667,2017,UK,dress,126,12426,0.010140029,5,613,613,female stereotypes
6032,33668,2018,UK,dress,110,12793,0.008598452,5,613,613,female stereotypes
6033,33669,2019,UK,dress,125,15504,0.008062436,5,613,613,female stereotypes
6034,33670,2020,UK,dress,77,15622,0.004928946,5,613,613,female stereotypes
6035,33671,2021,UK,dress,48,10539,0.004554512,5,613,613,female stereotypes
6036,33881,2010,UK,power,5,1504,0.003324468,5,626,626,empowerment
6037,33882,2011,UK,power,3,2397,0.001251564,5,626,626,empowerment
6038,33883,2012,UK,power,11,3971,0.002770083,5,626,626,empowerment
6039,33884,2013,UK,power,19,5869,0.003237349,5,626,626,empowerment
6040,33885,2014,UK,power,29,6977,0.004156514,5,626,626,empowerment
6041,33886,2015,UK,power,30,8477,0.003538988,5,626,626,empowerment
6042,33887,2016,UK,power,46,11237,0.004093619000000001,5,626,626,empowerment
6043,33888,2017,UK,power,45,12426,0.003621439,5,626,626,empowerment
6044,33889,2018,UK,power,63,12793,0.004924568,5,626,626,empowerment
6045,33890,2019,UK,power,46,15504,0.002966976,5,626,626,empowerment
6046,33891,2020,UK,power,52,15622,0.0033286390000000004,5,626,626,empowerment
6047,33892,2021,UK,power,26,10539,0.002467027,5,626,626,empowerment
6060,34272,2010,UK,murder,42,1504,0.027925532000000003,6,650,650,crime and violence
6061,34273,2011,UK,murder,38,2397,0.01585315,6,650,650,crime and violence
6062,34274,2012,UK,murder,70,3971,0.017627801999999998,6,650,650,crime and violence
6063,34275,2013,UK,murder,104,5869,0.017720225,6,650,650,crime and violence
6064,34276,2014,UK,murder,106,6977,0.015192776000000003,6,650,650,crime and violence
6065,34277,2015,UK,murder,113,8477,0.013330188,6,650,650,crime and violence
6066,34278,2016,UK,murder,174,11237,0.01548456,6,650,650,crime and violence
6067,34279,2017,UK,murder,221,12426,0.017785289,6,650,650,crime and violence
6068,34280,2018,UK,murder,238,12793,0.018603924,6,650,650,crime and violence
6069,34281,2019,UK,murder,305,15504,0.019672343,6,650,650,crime and violence
6070,34282,2020,UK,murder,302,15622,0.019331712,6,650,650,crime and violence
6071,34283,2021,UK,murder,198,10539,0.018787361,6,650,650,crime and violence
6084,34374,2010,UK,knife,6,1504,0.003989362,5,657,657,crime and violence
6085,34375,2011,UK,knife,5,2397,0.002085941,5,657,657,crime and violence
6086,34376,2012,UK,knife,6,3971,0.001510954,5,657,657,crime and violence
6087,34377,2013,UK,knife,20,5869,0.003407736,5,657,657,crime and violence
6088,34378,2014,UK,knife,15,6977,0.002149921,5,657,657,crime and violence
6089,34379,2015,UK,knife,21,8477,0.002477291,5,657,657,crime and violence
6090,34380,2016,UK,knife,23,11237,0.00204681,5,657,657,crime and violence
6091,34381,2017,UK,knife,36,12426,0.002897151,5,657,657,crime and violence
6092,34382,2018,UK,knife,37,12793,0.002892207,5,657,657,crime and violence
6093,34383,2019,UK,knife,56,15504,0.003611971,5,657,657,crime and violence
6094,34384,2020,UK,knife,46,15622,0.002944565,5,657,657,crime and violence
6095,34385,2021,UK,knife,27,10539,0.002561913,5,657,657,crime and violence
6096,34476,2010,UK,mayor,2,1504,0.001329787,5,663,663,empowerment
6097,34477,2011,UK,mayor,2,2397,0.0008343760000000001,5,663,663,empowerment
6098,34478,2012,UK,mayor,4,3971,0.001007303,5,663,663,empowerment
6099,34479,2013,UK,mayor,5,5869,0.0008519339999999999,5,663,663,empowerment
6100,34480,2014,UK,mayor,3,6977,0.000429984,5,663,663,empowerment
6101,34481,2015,UK,mayor,5,8477,0.000589831,5,663,663,empowerment
6102,34482,2016,UK,mayor,11,11237,0.000978909,5,663,663,empowerment
6103,34483,2017,UK,mayor,10,12426,0.0008047639999999999,5,663,663,empowerment
6104,34484,2018,UK,mayor,15,12793,0.001172516,5,663,663,empowerment
6105,34485,2019,UK,mayor,14,15504,0.000902993,5,663,663,empowerment
6106,34486,2020,UK,mayor,13,15622,0.00083216,5,663,663,empowerment
6107,34487,2021,UK,mayor,9,10539,0.000853971,5,663,663,empowerment
6108,34544,2010,UK,beauty,5,1504,0.003324468,6,668,668,female stereotypes
6109,34545,2011,UK,beauty,11,2397,0.00458907,6,668,668,female stereotypes
6110,34546,2012,UK,beauty,18,3971,0.004532863,6,668,668,female stereotypes
6111,34547,2013,UK,beauty,25,5869,0.004259669000000001,6,668,668,female stereotypes
6112,34548,2014,UK,beauty,38,6977,0.005446466999999999,6,668,668,female stereotypes
6113,34549,2015,UK,beauty,39,8477,0.004600684,6,668,668,female stereotypes
6114,34550,2016,UK,beauty,54,11237,0.004805553,6,668,668,female stereotypes
6115,34551,2017,UK,beauty,56,12426,0.00450668,6,668,668,female stereotypes
6116,34552,2018,UK,beauty,46,12793,0.003595716,6,668,668,female stereotypes
6117,34553,2019,UK,beauty,63,15504,0.004063467,6,668,668,female stereotypes
6118,34554,2020,UK,beauty,40,15622,0.002560492,6,668,668,female stereotypes
6119,34555,2021,UK,beauty,22,10539,0.002087485,6,668,668,female stereotypes
6120,34714,2010,UK,guilty,8,1504,0.005319149,6,679,679,crime and violence
6121,34715,2011,UK,guilty,6,2397,0.002503129,6,679,679,crime and violence
6122,34716,2012,UK,guilty,13,3971,0.003273735,6,679,679,crime and violence
6123,34717,2013,UK,guilty,24,5869,0.004089283,6,679,679,crime and violence
6124,34718,2014,UK,guilty,22,6977,0.003153218,6,679,679,crime and violence
6125,34719,2015,UK,guilty,21,8477,0.002477291,6,679,679,crime and violence
6126,34720,2016,UK,guilty,34,11237,0.003025719,6,679,679,crime and violence
6127,34721,2017,UK,guilty,35,12426,0.002816675,6,679,679,crime and violence
6128,34722,2018,UK,guilty,37,12793,0.002892207,6,679,679,crime and violence
6129,34723,2019,UK,guilty,39,15504,0.00251548,6,679,679,crime and violence
6130,34724,2020,UK,guilty,30,15622,0.001920369,6,679,679,crime and violence
6131,34725,2021,UK,guilty,33,10539,0.0031312270000000003,6,679,679,crime and violence
6132,34731,2010,UK,doctor,12,1504,0.007978723,6,680,680,empowerment
6133,34732,2011,UK,doctor,9,2397,0.003754693,6,680,680,empowerment
6134,34733,2012,UK,doctor,22,3971,0.005540166,6,680,680,empowerment
6135,34734,2013,UK,doctor,40,5869,0.006815471,6,680,680,empowerment
6136,34735,2014,UK,doctor,34,6977,0.004873155,6,680,680,empowerment
6137,34736,2015,UK,doctor,45,8477,0.005308482,6,680,680,empowerment
6138,34737,2016,UK,doctor,69,11237,0.006140429,6,680,680,empowerment
6139,34738,2017,UK,doctor,118,12426,0.009496218,6,680,680,empowerment
6140,34739,2018,UK,doctor,95,12793,0.007425936,6,680,680,empowerment
6141,34740,2019,UK,doctor,99,15504,0.0063854490000000005,6,680,680,empowerment
6142,34741,2020,UK,doctor,85,15622,0.005441045,6,680,680,empowerment
6143,34742,2021,UK,doctor,48,10539,0.004554512,6,680,680,empowerment
6144,34765,2010,UK,abortion,4,1504,0.002659574,8,682,682,empowerment
6145,34766,2011,UK,abortion,2,2397,0.0008343760000000001,8,682,682,empowerment
6146,34767,2012,UK,abortion,12,3971,0.003021909,8,682,682,empowerment
6147,34768,2013,UK,abortion,10,5869,0.001703868,8,682,682,empowerment
6148,34769,2014,UK,abortion,28,6977,0.004013186,8,682,682,empowerment
6149,34770,2015,UK,abortion,32,8477,0.00377492,8,682,682,empowerment
6150,34771,2016,UK,abortion,60,11237,0.005339503000000001,8,682,682,empowerment
6151,34772,2017,UK,abortion,56,12426,0.00450668,8,682,682,empowerment
6152,34773,2018,UK,abortion,49,12793,0.00383022,8,682,682,empowerment
6153,34774,2019,UK,abortion,90,15504,0.005804954,8,682,682,empowerment
6154,34775,2020,UK,abortion,45,15622,0.002880553,8,682,682,empowerment
6155,34776,2021,UK,abortion,16,10539,0.001518171,8,682,682,empowerment
6168,35054,2010,UK,artist,5,1504,0.003324468,6,701,701,empowerment
6169,35055,2011,UK,artist,5,2397,0.002085941,6,701,701,empowerment
6170,35056,2012,UK,artist,11,3971,0.002770083,6,701,701,empowerment
6171,35057,2013,UK,artist,21,5869,0.003578122,6,701,701,empowerment
6172,35058,2014,UK,artist,37,6977,0.005303139,6,701,701,empowerment
6173,35059,2015,UK,artist,37,8477,0.004364752,6,701,701,empowerment
6174,35060,2016,UK,artist,48,11237,0.004271603,6,701,701,empowerment
6175,35061,2017,UK,artist,53,12426,0.00426525,6,701,701,empowerment
6176,35062,2018,UK,artist,57,12793,0.004455562,6,701,701,empowerment
6177,35063,2019,UK,artist,44,15504,0.002837977,6,701,701,empowerment
6178,35064,2020,UK,artist,63,15622,0.004032774,6,701,701,empowerment
6179,35065,2021,UK,artist,19,10539,0.001802828,6,701,701,empowerment
6180,35105,2010,UK,shame,4,1504,0.002659574,5,705,705,female stereotypes
6181,35106,2011,UK,shame,4,2397,0.0016687529999999998,5,705,705,female stereotypes
6182,35107,2012,UK,shame,7,3971,0.00176278,5,705,705,female stereotypes
6183,35108,2013,UK,shame,8,5869,0.001363094,5,705,705,female stereotypes
6184,35109,2014,UK,shame,10,6977,0.001433281,5,705,705,female stereotypes
6185,35110,2015,UK,shame,25,8477,0.002949157,5,705,705,female stereotypes
6186,35111,2016,UK,shame,35,11237,0.00311471,5,705,705,female stereotypes
6187,35112,2017,UK,shame,53,12426,0.00426525,5,705,705,female stereotypes
6188,35113,2018,UK,shame,52,12793,0.004064723,5,705,705,female stereotypes
6189,35114,2019,UK,shame,43,15504,0.002773478,5,705,705,female stereotypes
6190,35115,2020,UK,shame,25,15622,0.001600307,5,705,705,female stereotypes
6191,35116,2021,UK,shame,15,10539,0.001423285,5,705,705,female stereotypes
6192,35156,2010,UK,wife,14,1504,0.009308511,4,708,708,female stereotypes
6193,35157,2011,UK,wife,20,2397,0.008343763,4,708,708,female stereotypes
6194,35158,2012,UK,wife,43,3971,0.010828507,4,708,708,female stereotypes
6195,35159,2013,UK,wife,51,5869,0.008689726,4,708,708,female stereotypes
6196,35160,2014,UK,wife,63,6977,0.009029669,4,708,708,female stereotypes
6197,35161,2015,UK,wife,70,8477,0.008257638000000001,4,708,708,female stereotypes
6198,35162,2016,UK,wife,83,11237,0.007386313,4,708,708,female stereotypes
6199,35163,2017,UK,wife,89,12426,0.007162401,4,708,708,female stereotypes
6200,35164,2018,UK,wife,111,12793,0.00867662,4,708,708,female stereotypes
6201,35165,2019,UK,wife,107,15504,0.006901445,4,708,708,female stereotypes
6202,35166,2020,UK,wife,119,15622,0.007617463,4,708,708,female stereotypes
6203,35167,2021,UK,wife,52,10539,0.004934054,4,708,708,female stereotypes
6204,35292,2010,UK,burn,6,1504,0.003989362,4,717,717,crime and violence
6205,35293,2011,UK,burn,9,2397,0.003754693,4,717,717,crime and violence
6206,35294,2012,UK,burn,7,3971,0.00176278,4,717,717,crime and violence
6207,35295,2013,UK,burn,11,5869,0.001874255,4,717,717,crime and violence
6208,35296,2014,UK,burn,30,6977,0.004299842,4,717,717,crime and violence
6209,35297,2015,UK,burn,36,8477,0.004246785,4,717,717,crime and violence
6210,35298,2016,UK,burn,54,11237,0.004805553,4,717,717,crime and violence
6211,35299,2017,UK,burn,70,12426,0.005633349,4,717,717,crime and violence
6212,35300,2018,UK,burn,55,12793,0.004299226,4,717,717,crime and violence
6213,35301,2019,UK,burn,68,15504,0.004385965,4,717,717,crime and violence
6214,35302,2020,UK,burn,74,15622,0.004736909,4,717,717,crime and violence
6215,35303,2021,UK,burn,21,10539,0.001992599,4,717,717,crime and violence
6240,35360,2010,UK,gossip,9,1504,0.0059840430000000005,6,721,721,female stereotypes
6241,35361,2011,UK,gossip,20,2397,0.008343763,6,721,721,female stereotypes
6242,35362,2012,UK,gossip,21,3971,0.00528834,6,721,721,female stereotypes
6243,35363,2013,UK,gossip,2,5869,0.000340774,6,721,721,female stereotypes
6244,35364,2014,UK,gossip,4,6977,0.000573312,6,721,721,female stereotypes
6245,35365,2015,UK,gossip,4,8477,0.000471865,6,721,721,female stereotypes
6246,35366,2016,UK,gossip,12,11237,0.001067901,6,721,721,female stereotypes
6247,35367,2017,UK,gossip,21,12426,0.001690005,6,721,721,female stereotypes
6248,35368,2018,UK,gossip,10,12793,0.0007816769999999999,6,721,721,female stereotypes
6249,35369,2019,UK,gossip,31,15504,0.001999484,6,721,721,female stereotypes
6250,35370,2020,UK,gossip,78,15622,0.004992959,6,721,721,female stereotypes
6251,35371,2021,UK,gossip,31,10539,0.002941456,6,721,721,female stereotypes
6264,35564,2010,UK,famous,4,1504,0.002659574,6,733,733,empowerment
6265,35565,2011,UK,famous,3,2397,0.001251564,6,733,733,empowerment
6266,35566,2012,UK,famous,6,3971,0.001510954,6,733,733,empowerment
6267,35567,2013,UK,famous,8,5869,0.001363094,6,733,733,empowerment
6268,35568,2014,UK,famous,11,6977,0.001576609,6,733,733,empowerment
6269,35569,2015,UK,famous,17,8477,0.0020054260000000003,6,733,733,empowerment
6270,35570,2016,UK,famous,29,11237,0.00258076,6,733,733,empowerment
6271,35571,2017,UK,famous,29,12426,0.002333816,6,733,733,empowerment
6272,35572,2018,UK,famous,20,12793,0.001563355,6,733,733,empowerment
6273,35573,2019,UK,famous,21,15504,0.001354489,6,733,733,empowerment
6274,35574,2020,UK,famous,40,15622,0.002560492,6,733,733,empowerment
6275,35575,2021,UK,famous,13,10539,0.001233514,6,733,733,empowerment
6276,35615,2010,UK,love,33,3008,0.010970745,4,736,736,female stereotypes
6277,35616,2011,UK,love,62,4794,0.012932833,4,736,736,female stereotypes
6278,35617,2012,UK,love,88,7942,0.011080332,4,736,736,female stereotypes
6279,35618,2013,UK,love,104,11738,0.008860112,4,736,736,female stereotypes
6280,35619,2014,UK,love,138,13954,0.009889637,4,736,736,female stereotypes
6281,35620,2015,UK,love,133,16954,0.007844756,4,736,736,female stereotypes
6282,35621,2016,UK,love,172,22474,0.007653288,4,736,736,female stereotypes
6283,35622,2017,UK,love,198,24852,0.007967166,4,736,736,female stereotypes
6284,35623,2018,UK,love,201,25586,0.007855859,4,736,736,female stereotypes
6285,35624,2019,UK,love,245,31008,0.007901186999999999,4,736,736,female stereotypes
6286,35625,2020,UK,love,200,31244,0.0064012290000000005,4,736,736,female stereotypes
6287,35626,2021,UK,love,106,21078,0.00502894,4,736,736,female stereotypes
6288,35683,2010,UK,award,10,1504,0.006648935999999999,5,740,740,empowerment
6289,35684,2011,UK,award,13,2397,0.005423446,5,740,740,empowerment
6290,35685,2012,UK,award,21,3971,0.00528834,5,740,740,empowerment
6291,35686,2013,UK,award,53,5869,0.009030499,5,740,740,empowerment
6292,35687,2014,UK,award,35,6977,0.005016483,5,740,740,empowerment
6293,35688,2015,UK,award,58,8477,0.006842043000000001,5,740,740,empowerment
6294,35689,2016,UK,award,58,11237,0.00516152,5,740,740,empowerment
6295,35690,2017,UK,award,46,12426,0.003701915,5,740,740,empowerment
6296,35691,2018,UK,award,57,12793,0.004455562,5,740,740,empowerment
6297,35692,2019,UK,award,88,15504,0.005675955,5,740,740,empowerment
6298,35693,2020,UK,award,49,15622,0.003136602,5,740,740,empowerment
6299,35694,2021,UK,award,30,10539,0.00284657,5,740,740,empowerment
6312,35836,2010,UK,grope,2,1504,0.001329787,5,749,749,crime and violence
6313,35837,2011,UK,grope,5,2397,0.002085941,5,749,749,crime and violence
6314,35838,2012,UK,grope,4,3971,0.001007303,5,749,749,crime and violence
6315,35839,2013,UK,grope,1,5869,0.000170387,5,749,749,crime and violence
6316,35840,2014,UK,grope,13,6977,0.001863265,5,749,749,crime and violence
6317,35841,2015,UK,grope,13,8477,0.001533561,5,749,749,crime and violence
6318,35842,2016,UK,grope,22,11237,0.001957818,5,749,749,crime and violence
6319,35843,2017,UK,grope,33,12426,0.002655722,5,749,749,crime and violence
6320,35844,2018,UK,grope,25,12793,0.001954194,5,749,749,crime and violence
6321,35845,2019,UK,grope,20,15504,0.00128999,5,749,749,crime and violence
6322,35846,2020,UK,grope,17,15622,0.001088209,5,749,749,crime and violence
6323,35847,2021,UK,grope,6,10539,0.000569314,5,749,749,crime and violence
6324,35921,2010,UK,hijab,1,1504,0.000664894,5,755,755,"race, ethnicity and identity"
6325,35922,2011,UK,hijab,1,2397,0.000417188,5,755,755,"race, ethnicity and identity"
6326,35923,2012,UK,hijab,3,3971,0.000755477,5,755,755,"race, ethnicity and identity"
6327,35924,2013,UK,hijab,6,5869,0.001022321,5,755,755,"race, ethnicity and identity"
6328,35925,2014,UK,hijab,5,6977,0.00071664,5,755,755,"race, ethnicity and identity"
6329,35926,2015,UK,hijab,25,8477,0.002949157,5,755,755,"race, ethnicity and identity"
6330,35927,2016,UK,hijab,42,11237,0.003737652,5,755,755,"race, ethnicity and identity"
6331,35928,2017,UK,hijab,33,12426,0.002655722,5,755,755,"race, ethnicity and identity"
6332,35929,2018,UK,hijab,18,12793,0.001407019,5,755,755,"race, ethnicity and identity"
6333,35930,2019,UK,hijab,20,15504,0.00128999,5,755,755,"race, ethnicity and identity"
6334,35931,2020,UK,hijab,9,15622,0.000576111,5,755,755,"race, ethnicity and identity"
6335,35932,2021,UK,hijab,3,10539,0.000284657,5,755,755,"race, ethnicity and identity"
6336,36006,2010,UK,girlfriend,7,1504,0.004654255,10,760,760,female stereotypes
6337,36007,2011,UK,girlfriend,7,2397,0.002920317,10,760,760,female stereotypes
6338,36008,2012,UK,girlfriend,13,3971,0.003273735,10,760,760,female stereotypes
6339,36009,2013,UK,girlfriend,17,5869,0.002896575,10,760,760,female stereotypes
6340,36010,2014,UK,girlfriend,33,6977,0.004729827,10,760,760,female stereotypes
6341,36011,2015,UK,girlfriend,41,8477,0.0048366170000000005,10,760,760,female stereotypes
6342,36012,2016,UK,girlfriend,61,11237,0.005428495,10,760,760,female stereotypes
6343,36013,2017,UK,girlfriend,55,12426,0.004426203,10,760,760,female stereotypes
6344,36014,2018,UK,girlfriend,46,12793,0.003595716,10,760,760,female stereotypes
6345,36015,2019,UK,girlfriend,59,15504,0.00380547,10,760,760,female stereotypes
6346,36016,2020,UK,girlfriend,43,15622,0.002752528,10,760,760,female stereotypes
6347,36017,2021,UK,girlfriend,20,10539,0.001897713,10,760,760,female stereotypes
6348,36040,2010,UK,chinese,4,1504,0.002659574,7,762,762,"race, ethnicity and identity"
6349,36041,2011,UK,chinese,6,2397,0.002503129,7,762,762,"race, ethnicity and identity"
6350,36042,2012,UK,chinese,8,3971,0.002014606,7,762,762,"race, ethnicity and identity"
6351,36043,2013,UK,chinese,13,5869,0.002215028,7,762,762,"race, ethnicity and identity"
6352,36044,2014,UK,chinese,18,6977,0.002579905,7,762,762,"race, ethnicity and identity"
6353,36045,2015,UK,chinese,33,8477,0.003892887,7,762,762,"race, ethnicity and identity"
6354,36046,2016,UK,chinese,14,11237,0.0012458839999999998,7,762,762,"race, ethnicity and identity"
6355,36047,2017,UK,chinese,13,12426,0.001046193,7,762,762,"race, ethnicity and identity"
6356,36048,2018,UK,chinese,14,12793,0.001094348,7,762,762,"race, ethnicity and identity"
6357,36049,2019,UK,chinese,39,15504,0.00251548,7,762,762,"race, ethnicity and identity"
6358,36050,2020,UK,chinese,18,15622,0.001152221,7,762,762,"race, ethnicity and identity"
6359,36051,2021,UK,chinese,11,10539,0.001043742,7,762,762,"race, ethnicity and identity"
6360,36125,2010,UK,married,4,1504,0.002659574,7,768,768,female stereotypes
6361,36126,2011,UK,married,2,2397,0.0008343760000000001,7,768,768,female stereotypes
6362,36127,2012,UK,married,12,3971,0.003021909,7,768,768,female stereotypes
6363,36128,2013,UK,married,5,5869,0.0008519339999999999,7,768,768,female stereotypes
6364,36129,2014,UK,married,13,6977,0.001863265,7,768,768,female stereotypes
6365,36130,2015,UK,married,9,8477,0.001061696,7,768,768,female stereotypes
6366,36131,2016,UK,married,17,11237,0.001512859,7,768,768,female stereotypes
6367,36132,2017,UK,married,21,12426,0.001690005,7,768,768,female stereotypes
6368,36133,2018,UK,married,21,12793,0.001641523,7,768,768,female stereotypes
6369,36134,2019,UK,married,19,15504,0.00122549,7,768,768,female stereotypes
6370,36135,2020,UK,married,21,15622,0.001344258,7,768,768,female stereotypes
6371,36136,2021,UK,married,10,10539,0.000948857,7,768,768,female stereotypes
6384,36193,2010,UK,survive,7,1504,0.004654255,7,772,772,empowerment
6385,36194,2011,UK,survive,4,2397,0.0016687529999999998,7,772,772,empowerment
6386,36195,2012,UK,survive,9,3971,0.002266432,7,772,772,empowerment
6387,36196,2013,UK,survive,16,5869,0.002726188,7,772,772,empowerment
6388,36197,2014,UK,survive,30,6977,0.004299842,7,772,772,empowerment
6389,36198,2015,UK,survive,19,8477,0.002241359,7,772,772,empowerment
6390,36199,2016,UK,survive,31,11237,0.002758743,7,772,772,empowerment
6391,36200,2017,UK,survive,31,12426,0.002494769,7,772,772,empowerment
6392,36201,2018,UK,survive,36,12793,0.0028140390000000004,7,772,772,empowerment
6393,36202,2019,UK,survive,39,15504,0.00251548,7,772,772,empowerment
6394,36203,2020,UK,survive,36,15622,0.0023044420000000003,7,772,772,empowerment
6395,36204,2021,UK,survive,17,10539,0.001613056,7,772,772,empowerment
6420,36380,2010,UK,breast,8,1504,0.005319149,6,784,784,female stereotypes
6421,36381,2011,UK,breast,5,2397,0.002085941,6,784,784,female stereotypes
6422,36382,2012,UK,breast,15,3971,0.003777386,6,784,784,female stereotypes
6423,36383,2013,UK,breast,26,5869,0.004430056,6,784,784,female stereotypes
6424,36384,2014,UK,breast,29,6977,0.004156514,6,784,784,female stereotypes
6425,36385,2015,UK,breast,47,8477,0.005544414,6,784,784,female stereotypes
6426,36386,2016,UK,breast,48,11237,0.004271603,6,784,784,female stereotypes
6427,36387,2017,UK,breast,58,12426,0.004667632,6,784,784,female stereotypes
6428,36388,2018,UK,breast,57,12793,0.004455562,6,784,784,female stereotypes
6429,36389,2019,UK,breast,56,15504,0.003611971,6,784,784,female stereotypes
6430,36390,2020,UK,breast,42,15622,0.002688516,6,784,784,female stereotypes
6431,36391,2021,UK,breast,16,10539,0.001518171,6,784,784,female stereotypes
6456,36584,2010,UK,molest,1,1504,0.000664894,6,796,796,crime and violence
6457,36585,2011,UK,molest,1,2397,0.000417188,6,796,796,crime and violence
6458,36586,2012,UK,molest,0,3971,0.0,6,796,796,crime and violence
6459,36587,2013,UK,molest,1,5869,0.000170387,6,796,796,crime and violence
6460,36588,2014,UK,molest,6,6977,0.000859968,6,796,796,crime and violence
6461,36589,2015,UK,molest,4,8477,0.000471865,6,796,796,crime and violence
6462,36590,2016,UK,molest,7,11237,0.0006229419999999999,6,796,796,crime and violence
6463,36591,2017,UK,molest,7,12426,0.000563335,6,796,796,crime and violence
6464,36592,2018,UK,molest,11,12793,0.000859845,6,796,796,crime and violence
6465,36593,2019,UK,molest,4,15504,0.000257998,6,796,796,crime and violence
6466,36594,2020,UK,molest,5,15622,0.000320061,6,796,796,crime and violence
6467,36595,2021,UK,molest,2,10539,0.000189771,6,796,796,crime and violence
6468,36652,2010,UK,author,8,1504,0.005319149,6,800,800,empowerment
6469,36653,2011,UK,author,7,2397,0.002920317,6,800,800,empowerment
6470,36654,2012,UK,author,7,3971,0.00176278,6,800,800,empowerment
6471,36655,2013,UK,author,11,5869,0.001874255,6,800,800,empowerment
6472,36656,2014,UK,author,21,6977,0.00300989,6,800,800,empowerment
6473,36657,2015,UK,author,9,8477,0.001061696,6,800,800,empowerment
6474,36658,2016,UK,author,26,11237,0.002313785,6,800,800,empowerment
6475,36659,2017,UK,author,13,12426,0.001046193,6,800,800,empowerment
6476,36660,2018,UK,author,19,12793,0.001485187,6,800,800,empowerment
6477,36661,2019,UK,author,22,15504,0.0014189889999999998,6,800,800,empowerment
6478,36662,2020,UK,author,20,15622,0.001280246,6,800,800,empowerment
6479,36663,2021,UK,author,15,10539,0.001423285,6,800,800,empowerment
6480,36720,2010,UK,pretty,4,1504,0.002659574,6,804,804,female stereotypes
6481,36721,2011,UK,pretty,3,2397,0.001251564,6,804,804,female stereotypes
6482,36722,2012,UK,pretty,8,3971,0.002014606,6,804,804,female stereotypes
6483,36723,2013,UK,pretty,10,5869,0.001703868,6,804,804,female stereotypes
6484,36724,2014,UK,pretty,21,6977,0.00300989,6,804,804,female stereotypes
6485,36725,2015,UK,pretty,29,8477,0.003421022,6,804,804,female stereotypes
6486,36726,2016,UK,pretty,13,11237,0.001156892,6,804,804,female stereotypes
6487,36727,2017,UK,pretty,24,12426,0.001931434,6,804,804,female stereotypes
6488,36728,2018,UK,pretty,30,12793,0.002345032,6,804,804,female stereotypes
6489,36729,2019,UK,pretty,15,15504,0.000967492,6,804,804,female stereotypes
6490,36730,2020,UK,pretty,32,15622,0.002048393,6,804,804,female stereotypes
6491,36731,2021,UK,pretty,7,10539,0.0006642,6,804,804,female stereotypes
6492,36754,2010,UK,sex,59,1504,0.039228723,3,806,806,female stereotypes
6493,36755,2011,UK,sex,45,2397,0.018773467,3,806,806,female stereotypes
6494,36756,2012,UK,sex,62,3971,0.015613196,3,806,806,female stereotypes
6495,36757,2013,UK,sex,120,5869,0.020446413,3,806,806,female stereotypes
6496,36758,2014,UK,sex,168,6977,0.024079117,3,806,806,female stereotypes
6497,36759,2015,UK,sex,270,8477,0.031850891,3,806,806,female stereotypes
6498,36760,2016,UK,sex,329,11237,0.029278277,3,806,806,female stereotypes
6499,36761,2017,UK,sex,318,12426,0.025591502,3,806,806,female stereotypes
6500,36762,2018,UK,sex,314,12793,0.024544673,3,806,806,female stereotypes
6501,36763,2019,UK,sex,312,15504,0.020123839,3,806,806,female stereotypes
6502,36764,2020,UK,sex,209,15622,0.013378569,3,806,806,female stereotypes
6503,36765,2021,UK,sex,101,10539,0.009583452,3,806,806,female stereotypes
6504,36788,2010,UK,killer,17,1504,0.011303191,6,808,808,crime and violence
6505,36789,2011,UK,killer,9,2397,0.003754693,6,808,808,crime and violence
6506,36790,2012,UK,killer,24,3971,0.006043818,6,808,808,crime and violence
6507,36791,2013,UK,killer,40,5869,0.006815471,6,808,808,crime and violence
6508,36792,2014,UK,killer,47,6977,0.00673642,6,808,808,crime and violence
6509,36793,2015,UK,killer,47,8477,0.005544414,6,808,808,crime and violence
6510,36794,2016,UK,killer,85,11237,0.0075642969999999985,6,808,808,crime and violence
6511,36795,2017,UK,killer,75,12426,0.006035731999999999,6,808,808,crime and violence
6512,36796,2018,UK,killer,76,12793,0.005940749,6,808,808,crime and violence
6513,36797,2019,UK,killer,91,15504,0.005869453,6,808,808,crime and violence
6514,36798,2020,UK,killer,65,15622,0.004160799000000001,6,808,808,crime and violence
6515,36799,2021,UK,killer,28,10539,0.002656799,6,808,808,crime and violence
6528,36873,2010,UK,kiss,7,1504,0.004654255,4,813,813,female stereotypes
6529,36874,2011,UK,kiss,12,2397,0.005006258,4,813,813,female stereotypes
6530,36875,2012,UK,kiss,21,3971,0.00528834,4,813,813,female stereotypes
6531,36876,2013,UK,kiss,22,5869,0.003748509,4,813,813,female stereotypes
6532,36877,2014,UK,kiss,23,6977,0.003296546,4,813,813,female stereotypes
6533,36878,2015,UK,kiss,17,8477,0.0020054260000000003,4,813,813,female stereotypes
6534,36879,2016,UK,kiss,41,11237,0.003648661,4,813,813,female stereotypes
6535,36880,2017,UK,kiss,26,12426,0.002092387,4,813,813,female stereotypes
6536,36881,2018,UK,kiss,28,12793,0.0021886970000000003,4,813,813,female stereotypes
6537,36882,2019,UK,kiss,49,15504,0.003160475,4,813,813,female stereotypes
6538,36883,2020,UK,kiss,31,15622,0.001984381,4,813,813,female stereotypes
6539,36884,2021,UK,kiss,11,10539,0.001043742,4,813,813,female stereotypes
6540,36907,2010,UK,muslim,9,1504,0.0059840430000000005,6,815,815,"race, ethnicity and identity"
6541,36908,2011,UK,muslim,5,2397,0.002085941,6,815,815,"race, ethnicity and identity"
6542,36909,2012,UK,muslim,14,3971,0.00352556,6,815,815,"race, ethnicity and identity"
6543,36910,2013,UK,muslim,24,5869,0.004089283,6,815,815,"race, ethnicity and identity"
6544,36911,2014,UK,muslim,24,6977,0.0034398740000000003,6,815,815,"race, ethnicity and identity"
6545,36912,2015,UK,muslim,56,8477,0.006606111,6,815,815,"race, ethnicity and identity"
6546,36913,2016,UK,muslim,117,11237,0.010412032,6,815,815,"race, ethnicity and identity"
6547,36914,2017,UK,muslim,117,12426,0.009415741,6,815,815,"race, ethnicity and identity"
6548,36915,2018,UK,muslim,59,12793,0.004611897,6,815,815,"race, ethnicity and identity"
6549,36916,2019,UK,muslim,51,15504,0.003289474,6,815,815,"race, ethnicity and identity"
6550,36917,2020,UK,muslim,24,15622,0.001536295,6,815,815,"race, ethnicity and identity"
6551,36918,2021,UK,muslim,14,10539,0.001328399,6,815,815,"race, ethnicity and identity"
6564,37060,2010,UK,gay,6,1504,0.003989362,3,824,824,"race, ethnicity and identity"
6565,37061,2011,UK,gay,15,2397,0.006257822,3,824,824,"race, ethnicity and identity"
6566,37062,2012,UK,gay,8,3971,0.002014606,3,824,824,"race, ethnicity and identity"
6567,37063,2013,UK,gay,19,5869,0.003237349,3,824,824,"race, ethnicity and identity"
6568,37064,2014,UK,gay,25,6977,0.003583202,3,824,824,"race, ethnicity and identity"
6569,37065,2015,UK,gay,43,8477,0.005072549,3,824,824,"race, ethnicity and identity"
6570,37066,2016,UK,gay,24,11237,0.002135801,3,824,824,"race, ethnicity and identity"
6571,37067,2017,UK,gay,43,12426,0.003460486,3,824,824,"race, ethnicity and identity"
6572,37068,2018,UK,gay,20,12793,0.001563355,3,824,824,"race, ethnicity and identity"
6573,37069,2019,UK,gay,37,15504,0.002386481,3,824,824,"race, ethnicity and identity"
6574,37070,2020,UK,gay,16,15622,0.001024197,3,824,824,"race, ethnicity and identity"
6575,37071,2021,UK,gay,7,10539,0.0006642,3,824,824,"race, ethnicity and identity"
6576,37111,2010,UK,affair,10,1504,0.006648935999999999,6,827,827,female stereotypes
6577,37112,2011,UK,affair,9,2397,0.003754693,6,827,827,female stereotypes
6578,37113,2012,UK,affair,15,3971,0.003777386,6,827,827,female stereotypes
6579,37114,2013,UK,affair,14,5869,0.002385415,6,827,827,female stereotypes
6580,37115,2014,UK,affair,23,6977,0.003296546,6,827,827,female stereotypes
6581,37116,2015,UK,affair,11,8477,0.001297629,6,827,827,female stereotypes
6582,37117,2016,UK,affair,23,11237,0.00204681,6,827,827,female stereotypes
6583,37118,2017,UK,affair,29,12426,0.002333816,6,827,827,female stereotypes
6584,37119,2018,UK,affair,21,12793,0.001641523,6,827,827,female stereotypes
6585,37120,2019,UK,affair,27,15504,0.001741486,6,827,827,female stereotypes
6586,37121,2020,UK,affair,14,15622,0.000896172,6,827,827,female stereotypes
6587,37122,2021,UK,affair,10,10539,0.000948857,6,827,827,female stereotypes
6588,37145,2010,UK,housewife,4,1504,0.002659574,9,829,829,female stereotypes
6589,37146,2011,UK,housewife,1,2397,0.000417188,9,829,829,female stereotypes
6590,37147,2012,UK,housewife,6,3971,0.001510954,9,829,829,female stereotypes
6591,37148,2013,UK,housewife,3,5869,0.00051116,9,829,829,female stereotypes
6592,37149,2014,UK,housewife,2,6977,0.000286656,9,829,829,female stereotypes
6593,37150,2015,UK,housewife,9,8477,0.001061696,9,829,829,female stereotypes
6594,37151,2016,UK,housewife,4,11237,0.00035596699999999995,9,829,829,female stereotypes
6595,37152,2017,UK,housewife,5,12426,0.000402382,9,829,829,female stereotypes
6596,37153,2018,UK,housewife,3,12793,0.000234503,9,829,829,female stereotypes
6597,37154,2019,UK,housewife,4,15504,0.000257998,9,829,829,female stereotypes
6598,37155,2020,UK,housewife,8,15622,0.000512098,9,829,829,female stereotypes
6599,37156,2021,UK,housewife,4,10539,0.000379543,9,829,829,female stereotypes
6600,37247,2010,UK,sexy,9,1504,0.0059840430000000005,4,836,836,female stereotypes
6601,37248,2011,UK,sexy,13,2397,0.005423446,4,836,836,female stereotypes
6602,37249,2012,UK,sexy,16,3971,0.004029212,4,836,836,female stereotypes
6603,37250,2013,UK,sexy,35,5869,0.005963537,4,836,836,female stereotypes
6604,37251,2014,UK,sexy,30,6977,0.004299842,4,836,836,female stereotypes
6605,37252,2015,UK,sexy,24,8477,0.00283119,4,836,836,female stereotypes
6606,37253,2016,UK,sexy,35,11237,0.00311471,4,836,836,female stereotypes
6607,37254,2017,UK,sexy,34,12426,0.002736198,4,836,836,female stereotypes
6608,37255,2018,UK,sexy,21,12793,0.001641523,4,836,836,female stereotypes
6609,37256,2019,UK,sexy,21,15504,0.001354489,4,836,836,female stereotypes
6610,37257,2020,UK,sexy,21,15622,0.001344258,4,836,836,female stereotypes
6611,37258,2021,UK,sexy,8,10539,0.000759085,4,836,836,female stereotypes
6624,37281,2010,UK,suicide,13,1504,0.008643617,7,838,838,crime and violence
6625,37282,2011,UK,suicide,9,2397,0.003754693,7,838,838,crime and violence
6626,37283,2012,UK,suicide,16,3971,0.004029212,7,838,838,crime and violence
6627,37284,2013,UK,suicide,25,5869,0.004259669000000001,7,838,838,crime and violence
6628,37285,2014,UK,suicide,35,6977,0.005016483,7,838,838,crime and violence
6629,37286,2015,UK,suicide,40,8477,0.00471865,7,838,838,crime and violence
6630,37287,2016,UK,suicide,49,11237,0.004360594000000001,7,838,838,crime and violence
6631,37288,2017,UK,suicide,47,12426,0.003782392,7,838,838,crime and violence
6632,37289,2018,UK,suicide,35,12793,0.002735871,7,838,838,crime and violence
6633,37290,2019,UK,suicide,35,15504,0.0022574820000000003,7,838,838,crime and violence
6634,37291,2020,UK,suicide,30,15622,0.001920369,7,838,838,crime and violence
6635,37292,2021,UK,suicide,10,10539,0.000948857,7,838,838,crime and violence
6648,37349,2010,UK,fat,12,1504,0.007978723,3,843,843,female stereotypes
6649,37350,2011,UK,fat,6,2397,0.002503129,3,843,843,female stereotypes
6650,37351,2012,UK,fat,12,3971,0.003021909,3,843,843,female stereotypes
6651,37352,2013,UK,fat,16,5869,0.002726188,3,843,843,female stereotypes
6652,37353,2014,UK,fat,44,6977,0.006306435,3,843,843,female stereotypes
6653,37354,2015,UK,fat,55,8477,0.006488144,3,843,843,female stereotypes
6654,37355,2016,UK,fat,31,11237,0.002758743,3,843,843,female stereotypes
6655,37356,2017,UK,fat,57,12426,0.004587155999999999,3,843,843,female stereotypes
6656,37357,2018,UK,fat,25,12793,0.001954194,3,843,843,female stereotypes
6657,37358,2019,UK,fat,48,15504,0.003095975,3,843,843,female stereotypes
6658,37359,2020,UK,fat,33,15622,0.0021124060000000003,3,843,843,female stereotypes
6659,37360,2021,UK,fat,6,10539,0.000569314,3,843,843,female stereotypes
6660,37672,2010,UK,dalit,0,1504,0.0,5,862,862,"race, ethnicity and identity"
6661,37673,2011,UK,dalit,0,2397,0.0,5,862,862,"race, ethnicity and identity"
6662,37674,2012,UK,dalit,0,3971,0.0,5,862,862,"race, ethnicity and identity"
6663,37675,2013,UK,dalit,0,5869,0.0,5,862,862,"race, ethnicity and identity"
6664,37676,2014,UK,dalit,0,6977,0.0,5,862,862,"race, ethnicity and identity"
6665,37677,2015,UK,dalit,0,8477,0.0,5,862,862,"race, ethnicity and identity"
6666,37678,2016,UK,dalit,1,11237,8.9e-05,5,862,862,"race, ethnicity and identity"
6667,37679,2017,UK,dalit,0,12426,0.0,5,862,862,"race, ethnicity and identity"
6668,37680,2018,UK,dalit,0,12793,0.0,5,862,862,"race, ethnicity and identity"
6669,37681,2019,UK,dalit,0,15504,0.0,5,862,862,"race, ethnicity and identity"
6670,37682,2020,UK,dalit,0,15622,0.0,5,862,862,"race, ethnicity and identity"
6671,37683,2021,UK,dalit,0,10539,0.0,5,862,862,"race, ethnicity and identity"
6672,37757,2010,UK,gangrape,0,1504,0.0,8,869,869,crime and violence
6673,37758,2011,UK,gangrape,0,2397,0.0,8,869,869,crime and violence
6674,37759,2012,UK,gangrape,0,3971,0.0,8,869,869,crime and violence
6675,37760,2013,UK,gangrape,0,5869,0.0,8,869,869,crime and violence
6676,37761,2014,UK,gangrape,0,6977,0.0,8,869,869,crime and violence
6677,37762,2015,UK,gangrape,0,8477,0.0,8,869,869,crime and violence
6678,37763,2016,UK,gangrape,0,11237,0.0,8,869,869,crime and violence
6679,37764,2017,UK,gangrape,1,12426,8.05e-05,8,869,869,crime and violence
6680,37765,2018,UK,gangrape,0,12793,0.0,8,869,869,crime and violence
6681,37766,2019,UK,gangrape,0,15504,0.0,8,869,869,crime and violence
6682,37767,2020,UK,gangrape,0,15622,0.0,8,869,869,crime and violence
6683,37768,2021,UK,gangrape,0,10539,0.0,8,869,869,crime and violence
6684,37859,2010,UK,hindu,0,1504,0.0,5,875,875,"race, ethnicity and identity"
6685,37860,2011,UK,hindu,0,2397,0.0,5,875,875,"race, ethnicity and identity"
6686,37861,2012,UK,hindu,1,3971,0.000251826,5,875,875,"race, ethnicity and identity"
6687,37862,2013,UK,hindu,2,5869,0.000340774,5,875,875,"race, ethnicity and identity"
6688,37863,2014,UK,hindu,1,6977,0.000143328,5,875,875,"race, ethnicity and identity"
6689,37864,2015,UK,hindu,2,8477,0.000235933,5,875,875,"race, ethnicity and identity"
6690,37865,2016,UK,hindu,4,11237,0.00035596699999999995,5,875,875,"race, ethnicity and identity"
6691,37866,2017,UK,hindu,4,12426,0.000321906,5,875,875,"race, ethnicity and identity"
6692,37867,2018,UK,hindu,5,12793,0.000390839,5,875,875,"race, ethnicity and identity"
6693,37868,2019,UK,hindu,1,15504,6.45e-05,5,875,875,"race, ethnicity and identity"
6694,37869,2020,UK,hindu,2,15622,0.000128025,5,875,875,"race, ethnicity and identity"
6695,37870,2021,UK,hindu,0,10539,0.0,5,875,875,"race, ethnicity and identity"
6696,38352,2010,UK,nigerian,0,1504,0.0,8,907,907,"race, ethnicity and identity"
6697,38353,2011,UK,nigerian,0,2397,0.0,8,907,907,"race, ethnicity and identity"
6698,38354,2012,UK,nigerian,0,3971,0.0,8,907,907,"race, ethnicity and identity"
6699,38355,2013,UK,nigerian,2,5869,0.000340774,8,907,907,"race, ethnicity and identity"
6700,38356,2014,UK,nigerian,7,6977,0.001003297,8,907,907,"race, ethnicity and identity"
6701,38357,2015,UK,nigerian,5,8477,0.000589831,8,907,907,"race, ethnicity and identity"
6702,38358,2016,UK,nigerian,2,11237,0.000177983,8,907,907,"race, ethnicity and identity"
6703,38359,2017,UK,nigerian,3,12426,0.000241429,8,907,907,"race, ethnicity and identity"
6704,38360,2018,UK,nigerian,4,12793,0.000312671,8,907,907,"race, ethnicity and identity"
6705,38361,2019,UK,nigerian,3,15504,0.000193498,8,907,907,"race, ethnicity and identity"
6706,38362,2020,UK,nigerian,2,15622,0.000128025,8,907,907,"race, ethnicity and identity"
6707,38363,2021,UK,nigerian,0,10539,0.0,8,907,907,"race, ethnicity and identity"
6708,38658,2010,UK,tribal,0,1504,0.0,6,928,928,"race, ethnicity and identity"
6709,38659,2011,UK,tribal,0,2397,0.0,6,928,928,"race, ethnicity and identity"
6710,38660,2012,UK,tribal,0,3971,0.0,6,928,928,"race, ethnicity and identity"
6711,38661,2013,UK,tribal,0,5869,0.0,6,928,928,"race, ethnicity and identity"
6712,38662,2014,UK,tribal,1,6977,0.000143328,6,928,928,"race, ethnicity and identity"
6713,38663,2015,UK,tribal,0,8477,0.0,6,928,928,"race, ethnicity and identity"
6714,38664,2016,UK,tribal,1,11237,8.9e-05,6,928,928,"race, ethnicity and identity"
6715,38665,2017,UK,tribal,0,12426,0.0,6,928,928,"race, ethnicity and identity"
6716,38666,2018,UK,tribal,1,12793,7.82e-05,6,928,928,"race, ethnicity and identity"
6717,38667,2019,UK,tribal,1,15504,6.45e-05,6,928,928,"race, ethnicity and identity"
6718,38668,2020,UK,tribal,1,15622,6.4e-05,6,928,928,"race, ethnicity and identity"
6719,38669,2021,UK,tribal,0,10539,0.0,6,928,928,"race, ethnicity and identity"
6720,38743,2010,UK,witchcraft,1,1504,0.000664894,10,935,935,female stereotypes
6721,38744,2011,UK,witchcraft,1,2397,0.000417188,10,935,935,female stereotypes
6722,38745,2012,UK,witchcraft,0,3971,0.0,10,935,935,female stereotypes
6723,38746,2013,UK,witchcraft,1,5869,0.000170387,10,935,935,female stereotypes
6724,38747,2014,UK,witchcraft,1,6977,0.000143328,10,935,935,female stereotypes
6725,38748,2015,UK,witchcraft,1,8477,0.000117966,10,935,935,female stereotypes
6726,38749,2016,UK,witchcraft,9,11237,0.0008009260000000001,10,935,935,female stereotypes
6727,38750,2017,UK,witchcraft,2,12426,0.000160953,10,935,935,female stereotypes
6728,38751,2018,UK,witchcraft,1,12793,7.82e-05,10,935,935,female stereotypes
6729,38752,2019,UK,witchcraft,1,15504,6.45e-05,10,935,935,female stereotypes
6730,38753,2020,UK,witchcraft,0,15622,0.0,10,935,935,female stereotypes
6731,38754,2021,UK,witchcraft,0,10539,0.0,10,935,935,female stereotypes
6744,38879,2010,USA,violence,0,1912,0.0,8,3,3,crime and violence
6745,38880,2011,USA,violence,3,3274,0.00091631,8,3,3,crime and violence
6746,38881,2012,USA,violence,17,5474,0.00310559,8,3,3,crime and violence
6747,38882,2013,USA,violence,25,7160,0.00349162,8,3,3,crime and violence
6748,38883,2014,USA,violence,36,9566,0.003763328,8,3,3,crime and violence
6749,38884,2015,USA,violence,35,10779,0.003247054,8,3,3,crime and violence
6750,38885,2016,USA,violence,41,12290,0.003336046,8,3,3,crime and violence
6751,38886,2017,USA,violence,37,12771,0.002897189,8,3,3,crime and violence
6752,38887,2018,USA,violence,69,15174,0.004547252,8,3,3,crime and violence
6753,38888,2019,USA,violence,82,14453,0.005673563,8,3,3,crime and violence
6754,38889,2020,USA,violence,76,13040,0.005828221,8,3,3,crime and violence
6755,38890,2021,USA,violence,67,7747,0.008648509,8,3,3,crime and violence
6756,39015,2010,USA,mayor,0,1912,0.0,5,12,12,empowerment
6757,39016,2011,USA,mayor,0,3274,0.0,5,12,12,empowerment
6758,39017,2012,USA,mayor,7,5474,0.001278772,5,12,12,empowerment
6759,39018,2013,USA,mayor,7,7160,0.000977654,5,12,12,empowerment
6760,39019,2014,USA,mayor,10,9566,0.001045369,5,12,12,empowerment
6761,39020,2015,USA,mayor,6,10779,0.000556638,5,12,12,empowerment
6762,39021,2016,USA,mayor,15,12290,0.001220504,5,12,12,empowerment
6763,39022,2017,USA,mayor,22,12771,0.001722653,5,12,12,empowerment
6764,39023,2018,USA,mayor,20,15174,0.001318044,5,12,12,empowerment
6765,39024,2019,USA,mayor,32,14453,0.002214073,5,12,12,empowerment
6766,39025,2020,USA,mayor,47,13040,0.003604294,5,12,12,empowerment
6767,39026,2021,USA,mayor,32,7747,0.004130631,5,12,12,empowerment
6768,39083,2010,USA,activist,0,1912,0.0,8,16,16,empowerment
6769,39084,2011,USA,activist,7,3274,0.002138057,8,16,16,empowerment
6770,39085,2012,USA,activist,6,5474,0.001096091,8,16,16,empowerment
6771,39086,2013,USA,activist,11,7160,0.001536313,8,16,16,empowerment
6772,39087,2014,USA,activist,17,9566,0.001777127,8,16,16,empowerment
6773,39088,2015,USA,activist,12,10779,0.001113276,8,16,16,empowerment
6774,39089,2016,USA,activist,17,12290,0.001383238,8,16,16,empowerment
6775,39090,2017,USA,activist,32,12771,0.002505677,8,16,16,empowerment
6776,39091,2018,USA,activist,44,15174,0.002899697,8,16,16,empowerment
6777,39092,2019,USA,activist,36,14453,0.002490832,8,16,16,empowerment
6778,39093,2020,USA,activist,43,13040,0.003297546,8,16,16,empowerment
6779,39094,2021,USA,activist,24,7747,0.003097973,8,16,16,empowerment
6780,39100,2010,USA,harass,0,1912,0.0,6,17,17,crime and violence
6781,39101,2011,USA,harass,2,3274,0.000610874,6,17,17,crime and violence
6782,39102,2012,USA,harass,1,5474,0.000182682,6,17,17,crime and violence
6783,39103,2013,USA,harass,5,7160,0.000698324,6,17,17,crime and violence
6784,39104,2014,USA,harass,17,9566,0.001777127,6,17,17,crime and violence
6785,39105,2015,USA,harass,10,10779,0.00092773,6,17,17,crime and violence
6786,39106,2016,USA,harass,14,12290,0.001139138,6,17,17,crime and violence
6787,39107,2017,USA,harass,41,12771,0.003210399,6,17,17,crime and violence
6788,39108,2018,USA,harass,56,15174,0.003690523,6,17,17,crime and violence
6789,39109,2019,USA,harass,33,14453,0.002283263,6,17,17,crime and violence
6790,39110,2020,USA,harass,22,13040,0.001687117,6,17,17,crime and violence
6791,39111,2021,USA,harass,24,7747,0.003097973,6,17,17,crime and violence
6816,39321,2010,USA,emotional,0,1912,0.0,9,37,37,female stereotypes
6817,39322,2011,USA,emotional,6,3274,0.001832621,9,37,37,female stereotypes
6818,39323,2012,USA,emotional,7,5474,0.001278772,9,37,37,female stereotypes
6819,39324,2013,USA,emotional,7,7160,0.000977654,9,37,37,female stereotypes
6820,39325,2014,USA,emotional,24,9566,0.002508886,9,37,37,female stereotypes
6821,39326,2015,USA,emotional,23,10779,0.002133779,9,37,37,female stereotypes
6822,39327,2016,USA,emotional,40,12290,0.0032546790000000003,9,37,37,female stereotypes
6823,39328,2017,USA,emotional,35,12771,0.0027405840000000003,9,37,37,female stereotypes
6824,39329,2018,USA,emotional,59,15174,0.00388823,9,37,37,female stereotypes
6825,39330,2019,USA,emotional,34,14453,0.002352453,9,37,37,female stereotypes
6826,39331,2020,USA,emotional,27,13040,0.002070552,9,37,37,female stereotypes
6827,39332,2021,USA,emotional,15,7747,0.001936233,9,37,37,female stereotypes
6840,39372,2010,USA,appoint,0,1912,0.0,7,41,41,empowerment
6841,39373,2011,USA,appoint,1,3274,0.000305437,7,41,41,empowerment
6842,39374,2012,USA,appoint,1,5474,0.000182682,7,41,41,empowerment
6843,39375,2013,USA,appoint,2,7160,0.00027933,7,41,41,empowerment
6844,39376,2014,USA,appoint,2,9566,0.000209074,7,41,41,empowerment
6845,39377,2015,USA,appoint,4,10779,0.000371092,7,41,41,empowerment
6846,39378,2016,USA,appoint,6,12290,0.000488202,7,41,41,empowerment
6847,39379,2017,USA,appoint,5,12771,0.000391512,7,41,41,empowerment
6848,39380,2018,USA,appoint,9,15174,0.00059312,7,41,41,empowerment
6849,39381,2019,USA,appoint,8,14453,0.000553518,7,41,41,empowerment
6850,39382,2020,USA,appoint,15,13040,0.001150307,7,41,41,empowerment
6851,39383,2021,USA,appoint,14,7747,0.001807151,7,41,41,empowerment
6852,39423,2010,USA,brutal,0,1912,0.0,6,45,45,crime and violence
6853,39424,2011,USA,brutal,3,3274,0.00091631,6,45,45,crime and violence
6854,39425,2012,USA,brutal,3,5474,0.000548045,6,45,45,crime and violence
6855,39426,2013,USA,brutal,2,7160,0.00027933,6,45,45,crime and violence
6856,39427,2014,USA,brutal,11,9566,0.001149906,6,45,45,crime and violence
6857,39428,2015,USA,brutal,13,10779,0.0012060489999999998,6,45,45,crime and violence
6858,39429,2016,USA,brutal,15,12290,0.001220504,6,45,45,crime and violence
6859,39430,2017,USA,brutal,13,12771,0.001017931,6,45,45,crime and violence
6860,39431,2018,USA,brutal,11,15174,0.000724924,6,45,45,crime and violence
6861,39432,2019,USA,brutal,13,14453,0.0008994669999999998,6,45,45,crime and violence
6862,39433,2020,USA,brutal,10,13040,0.000766871,6,45,45,crime and violence
6863,39434,2021,USA,brutal,13,7747,0.001678069,6,45,45,crime and violence
6864,39457,2010,USA,equality,0,1912,0.0,8,47,47,empowerment
6865,39458,2011,USA,equality,2,3274,0.000610874,8,47,47,empowerment
6866,39459,2012,USA,equality,2,5474,0.000365364,8,47,47,empowerment
6867,39460,2013,USA,equality,3,7160,0.000418994,8,47,47,empowerment
6868,39461,2014,USA,equality,8,9566,0.000836295,8,47,47,empowerment
6869,39462,2015,USA,equality,15,10779,0.001391595,8,47,47,empowerment
6870,39463,2016,USA,equality,21,12290,0.0017087060000000002,8,47,47,empowerment
6871,39464,2017,USA,equality,13,12771,0.001017931,8,47,47,empowerment
6872,39465,2018,USA,equality,35,15174,0.002306577,8,47,47,empowerment
6873,39466,2019,USA,equality,38,14453,0.002629212,8,47,47,empowerment
6874,39467,2020,USA,equality,24,13040,0.001840491,8,47,47,empowerment
6875,39468,2021,USA,equality,13,7747,0.001678069,8,47,47,empowerment
6876,39576,2010,USA,entrepreneur,0,1912,0.0,12,56,56,empowerment
6877,39577,2011,USA,entrepreneur,0,3274,0.0,12,56,56,empowerment
6878,39578,2012,USA,entrepreneur,0,5474,0.0,12,56,56,empowerment
6879,39579,2013,USA,entrepreneur,4,7160,0.000558659,12,56,56,empowerment
6880,39580,2014,USA,entrepreneur,10,9566,0.001045369,12,56,56,empowerment
6881,39581,2015,USA,entrepreneur,7,10779,0.000649411,12,56,56,empowerment
6882,39582,2016,USA,entrepreneur,14,12290,0.001139138,12,56,56,empowerment
6883,39583,2017,USA,entrepreneur,21,12771,0.00164435,12,56,56,empowerment
6884,39584,2018,USA,entrepreneur,24,15174,0.001581653,12,56,56,empowerment
6885,39585,2019,USA,entrepreneur,26,14453,0.001798934,12,56,56,empowerment
6886,39586,2020,USA,entrepreneur,19,13040,0.001457055,12,56,56,empowerment
6887,39587,2021,USA,entrepreneur,9,7747,0.00116174,12,56,56,empowerment
6888,39593,2010,USA,feminist,0,1912,0.0,8,58,58,empowerment
6889,39594,2011,USA,feminist,2,3274,0.000610874,8,58,58,empowerment
6890,39595,2012,USA,feminist,8,5474,0.0014614539999999998,8,58,58,empowerment
6891,39596,2013,USA,feminist,15,7160,0.002094972,8,58,58,empowerment
6892,39597,2014,USA,feminist,14,9566,0.001463517,8,58,58,empowerment
6893,39598,2015,USA,feminist,29,10779,0.002690417,8,58,58,empowerment
6894,39599,2016,USA,feminist,30,12290,0.002441009,8,58,58,empowerment
6895,39600,2017,USA,feminist,46,12771,0.003601911,8,58,58,empowerment
6896,39601,2018,USA,feminist,39,15174,0.002570186,8,58,58,empowerment
6897,39602,2019,USA,feminist,23,14453,0.001591365,8,58,58,empowerment
6898,39603,2020,USA,feminist,27,13040,0.002070552,8,58,58,empowerment
6899,39604,2021,USA,feminist,9,7747,0.00116174,8,58,58,empowerment
6924,39763,2010,USA,testify,0,1912,0.0,7,69,69,crime and violence
6925,39764,2011,USA,testify,7,3274,0.002138057,7,69,69,crime and violence
6926,39765,2012,USA,testify,8,5474,0.0014614539999999998,7,69,69,crime and violence
6927,39766,2013,USA,testify,12,7160,0.0016759779999999998,7,69,69,crime and violence
6928,39767,2014,USA,testify,9,9566,0.000940832,7,69,69,crime and violence
6929,39768,2015,USA,testify,10,10779,0.00092773,7,69,69,crime and violence
6930,39769,2016,USA,testify,10,12290,0.00081367,7,69,69,crime and violence
6931,39770,2017,USA,testify,14,12771,0.001096234,7,69,69,crime and violence
6932,39771,2018,USA,testify,24,15174,0.001581653,7,69,69,crime and violence
6933,39772,2019,USA,testify,16,14453,0.001107037,7,69,69,crime and violence
6934,39773,2020,USA,testify,10,13040,0.000766871,7,69,69,crime and violence
6935,39774,2021,USA,testify,8,7747,0.001032658,7,69,69,crime and violence
6936,39882,2010,USA,abduct,0,1912,0.0,6,78,78,crime and violence
6937,39883,2011,USA,abduct,2,3274,0.000610874,6,78,78,crime and violence
6938,39884,2012,USA,abduct,6,5474,0.001096091,6,78,78,crime and violence
6939,39885,2013,USA,abduct,5,7160,0.000698324,6,78,78,crime and violence
6940,39886,2014,USA,abduct,12,9566,0.001254443,6,78,78,crime and violence
6941,39887,2015,USA,abduct,8,10779,0.0007421839999999999,6,78,78,crime and violence
6942,39888,2016,USA,abduct,17,12290,0.001383238,6,78,78,crime and violence
6943,39889,2017,USA,abduct,15,12771,0.001174536,6,78,78,crime and violence
6944,39890,2018,USA,abduct,10,15174,0.000659022,6,78,78,crime and violence
6945,39891,2019,USA,abduct,15,14453,0.001037847,6,78,78,crime and violence
6946,39892,2020,USA,abduct,3,13040,0.000230061,6,78,78,crime and violence
6947,39893,2021,USA,abduct,6,7747,0.000774493,6,78,78,crime and violence
6960,39950,2010,USA,metoo,0,1912,0.0,5,83,83,empowerment
6961,39951,2011,USA,metoo,0,3274,0.0,5,83,83,empowerment
6962,39952,2012,USA,metoo,0,5474,0.0,5,83,83,empowerment
6963,39953,2013,USA,metoo,0,7160,0.0,5,83,83,empowerment
6964,39954,2014,USA,metoo,0,9566,0.0,5,83,83,empowerment
6965,39955,2015,USA,metoo,0,10779,0.0,5,83,83,empowerment
6966,39956,2016,USA,metoo,0,12290,0.0,5,83,83,empowerment
6967,39957,2017,USA,metoo,28,12771,0.002192467,5,83,83,empowerment
6968,39958,2018,USA,metoo,135,15174,0.008896797,5,83,83,empowerment
6969,39959,2019,USA,metoo,46,14453,0.00318273,5,83,83,empowerment
6970,39960,2020,USA,metoo,23,13040,0.001763804,5,83,83,empowerment
6971,39961,2021,USA,metoo,6,7747,0.000774493,5,83,83,empowerment
6972,40069,2010,USA,trafficking,0,1912,0.0,11,96,96,crime and violence
6973,40070,2011,USA,trafficking,1,3274,0.000305437,11,96,96,crime and violence
6974,40071,2012,USA,trafficking,1,5474,0.000182682,11,96,96,crime and violence
6975,40072,2013,USA,trafficking,3,7160,0.000418994,11,96,96,crime and violence
6976,40073,2014,USA,trafficking,4,9566,0.000418148,11,96,96,crime and violence
6977,40074,2015,USA,trafficking,10,10779,0.00092773,11,96,96,crime and violence
6978,40075,2016,USA,trafficking,9,12290,0.000732303,11,96,96,crime and violence
6979,40076,2017,USA,trafficking,21,12771,0.00164435,11,96,96,crime and violence
6980,40077,2018,USA,trafficking,10,15174,0.000659022,11,96,96,crime and violence
6981,40078,2019,USA,trafficking,19,14453,0.001314606,11,96,96,crime and violence
6982,40079,2020,USA,trafficking,8,13040,0.000613497,11,96,96,crime and violence
6983,40080,2021,USA,trafficking,5,7747,0.000645411,11,96,96,crime and violence
6984,40137,2010,USA,period,0,1912,0.0,6,100,100,female stereotypes
6985,40138,2011,USA,period,1,3274,0.000305437,6,100,100,female stereotypes
6986,40139,2012,USA,period,0,5474,0.0,6,100,100,female stereotypes
6987,40140,2013,USA,period,1,7160,0.000139665,6,100,100,female stereotypes
6988,40141,2014,USA,period,4,9566,0.000418148,6,100,100,female stereotypes
6989,40142,2015,USA,period,6,10779,0.000556638,6,100,100,female stereotypes
6990,40143,2016,USA,period,15,12290,0.001220504,6,100,100,female stereotypes
6991,40144,2017,USA,period,14,12771,0.001096234,6,100,100,female stereotypes
6992,40145,2018,USA,period,13,15174,0.000856729,6,100,100,female stereotypes
6993,40146,2019,USA,period,18,14453,0.001245416,6,100,100,female stereotypes
6994,40147,2020,USA,period,12,13040,0.000920245,6,100,100,female stereotypes
6995,40148,2021,USA,period,4,7747,0.000516329,6,100,100,female stereotypes
6996,40273,2010,USA,vagina,0,1912,0.0,6,115,115,female stereotypes
6997,40274,2011,USA,vagina,1,3274,0.000305437,6,115,115,female stereotypes
6998,40275,2012,USA,vagina,7,5474,0.001278772,6,115,115,female stereotypes
6999,40276,2013,USA,vagina,5,7160,0.000698324,6,115,115,female stereotypes
7000,40277,2014,USA,vagina,11,9566,0.001149906,6,115,115,female stereotypes
7001,40278,2015,USA,vagina,14,10779,0.001298822,6,115,115,female stereotypes
7002,40279,2016,USA,vagina,12,12290,0.000976404,6,115,115,female stereotypes
7003,40280,2017,USA,vagina,11,12771,0.000861326,6,115,115,female stereotypes
7004,40281,2018,USA,vagina,8,15174,0.000527218,6,115,115,female stereotypes
7005,40282,2019,USA,vagina,5,14453,0.000345949,6,115,115,female stereotypes
7006,40283,2020,USA,vagina,1,13040,7.670000000000001e-05,6,115,115,female stereotypes
7007,40284,2021,USA,vagina,3,7747,0.000387247,6,115,115,female stereotypes
7008,40324,2010,USA,dalit,0,1912,0.0,5,118,118,"race, ethnicity and identity"
7009,40325,2011,USA,dalit,0,3274,0.0,5,118,118,"race, ethnicity and identity"
7010,40326,2012,USA,dalit,0,5474,0.0,5,118,118,"race, ethnicity and identity"
7011,40327,2013,USA,dalit,0,7160,0.0,5,118,118,"race, ethnicity and identity"
7012,40328,2014,USA,dalit,0,9566,0.0,5,118,118,"race, ethnicity and identity"
7013,40329,2015,USA,dalit,0,10779,0.0,5,118,118,"race, ethnicity and identity"
7014,40330,2016,USA,dalit,1,12290,8.14e-05,5,118,118,"race, ethnicity and identity"
7015,40331,2017,USA,dalit,1,12771,7.829999999999999e-05,5,118,118,"race, ethnicity and identity"
7016,40332,2018,USA,dalit,3,15174,0.000197707,5,118,118,"race, ethnicity and identity"
7017,40333,2019,USA,dalit,0,14453,0.0,5,118,118,"race, ethnicity and identity"
7018,40334,2020,USA,dalit,1,13040,7.670000000000001e-05,5,118,118,"race, ethnicity and identity"
7019,40335,2021,USA,dalit,2,7747,0.000258164,5,118,118,"race, ethnicity and identity"
7044,40460,2010,USA,hindu,0,1912,0.0,5,132,133,"race, ethnicity and identity"
7045,40461,2011,USA,hindu,0,3274,0.0,5,132,133,"race, ethnicity and identity"
7046,40462,2012,USA,hindu,1,5474,0.000182682,5,132,133,"race, ethnicity and identity"
7047,40463,2013,USA,hindu,0,7160,0.0,5,132,133,"race, ethnicity and identity"
7048,40464,2014,USA,hindu,1,9566,0.000104537,5,132,133,"race, ethnicity and identity"
7049,40465,2015,USA,hindu,3,10779,0.000278319,5,132,133,"race, ethnicity and identity"
7050,40466,2016,USA,hindu,0,12290,0.0,5,132,133,"race, ethnicity and identity"
7051,40467,2017,USA,hindu,2,12771,0.000156605,5,132,133,"race, ethnicity and identity"
7052,40468,2018,USA,hindu,5,15174,0.000329511,5,132,133,"race, ethnicity and identity"
7053,40469,2019,USA,hindu,6,14453,0.000415139,5,132,133,"race, ethnicity and identity"
7054,40470,2020,USA,hindu,1,13040,7.670000000000001e-05,5,132,133,"race, ethnicity and identity"
7055,40471,2021,USA,hindu,1,7747,0.000129082,5,132,133,"race, ethnicity and identity"
7056,40528,2010,USA,nigerian,0,1912,0.0,8,136,137,"race, ethnicity and identity"
7057,40529,2011,USA,nigerian,0,3274,0.0,8,136,137,"race, ethnicity and identity"
7058,40530,2012,USA,nigerian,0,5474,0.0,8,136,137,"race, ethnicity and identity"
7059,40531,2013,USA,nigerian,0,7160,0.0,8,136,137,"race, ethnicity and identity"
7060,40532,2014,USA,nigerian,8,9566,0.000836295,8,136,137,"race, ethnicity and identity"
7061,40533,2015,USA,nigerian,2,10779,0.000185546,8,136,137,"race, ethnicity and identity"
7062,40534,2016,USA,nigerian,5,12290,0.000406835,8,136,137,"race, ethnicity and identity"
7063,40535,2017,USA,nigerian,4,12771,0.00031321,8,136,137,"race, ethnicity and identity"
7064,40536,2018,USA,nigerian,6,15174,0.000395413,8,136,137,"race, ethnicity and identity"
7065,40537,2019,USA,nigerian,5,14453,0.000345949,8,136,137,"race, ethnicity and identity"
7066,40538,2020,USA,nigerian,1,13040,7.670000000000001e-05,8,136,137,"race, ethnicity and identity"
7067,40539,2021,USA,nigerian,1,7747,0.000129082,8,136,137,"race, ethnicity and identity"
7068,40749,2010,USA,black,10,1912,0.005230126,5,156,154,"race, ethnicity and identity"
7069,40750,2011,USA,black,26,3274,0.007941356,5,156,154,"race, ethnicity and identity"
7070,40751,2012,USA,black,48,5474,0.008768725,5,156,154,"race, ethnicity and identity"
7071,40752,2013,USA,black,64,7160,0.008938547,5,156,154,"race, ethnicity and identity"
7072,40753,2014,USA,black,83,9566,0.008676563,5,156,154,"race, ethnicity and identity"
7073,40754,2015,USA,black,148,10779,0.013730402,5,156,154,"race, ethnicity and identity"
7074,40755,2016,USA,black,180,12290,0.014646054,5,156,154,"race, ethnicity and identity"
7075,40756,2017,USA,black,220,12771,0.017226528999999997,5,156,154,"race, ethnicity and identity"
7076,40757,2018,USA,black,388,15174,0.025570054,5,156,154,"race, ethnicity and identity"
7077,40758,2019,USA,black,349,14453,0.024147236,5,156,154,"race, ethnicity and identity"
7078,40759,2020,USA,black,592,13040,0.045398773,5,156,154,"race, ethnicity and identity"
7079,40760,2021,USA,black,328,7747,0.04233897,5,156,154,"race, ethnicity and identity"
7080,40766,2010,USA,protest,1,1912,0.000523013,7,158,158,empowerment
7081,40767,2011,USA,protest,8,3274,0.002443494,7,158,158,empowerment
7082,40768,2012,USA,protest,10,5474,0.001826818,7,158,158,empowerment
7083,40769,2013,USA,protest,13,7160,0.001815642,7,158,158,empowerment
7084,40770,2014,USA,protest,21,9566,0.002195275,7,158,158,empowerment
7085,40771,2015,USA,protest,14,10779,0.001298822,7,158,158,empowerment
7086,40772,2016,USA,protest,45,12290,0.003661513,7,158,158,empowerment
7087,40773,2017,USA,protest,48,12771,0.003758515,7,158,158,empowerment
7088,40774,2018,USA,protest,52,15174,0.003426914,7,158,158,empowerment
7089,40775,2019,USA,protest,34,14453,0.002352453,7,158,158,empowerment
7090,40776,2020,USA,protest,109,13040,0.008358896,7,158,158,empowerment
7091,40777,2021,USA,protest,32,7747,0.004130631,7,158,158,empowerment
7092,40851,2010,USA,transgender,2,1912,0.001046025,11,164,164,"race, ethnicity and identity"
7093,40852,2011,USA,transgender,7,3274,0.002138057,11,164,164,"race, ethnicity and identity"
7094,40853,2012,USA,transgender,15,5474,0.002740227,11,164,164,"race, ethnicity and identity"
7095,40854,2013,USA,transgender,14,7160,0.0019553070000000003,11,164,164,"race, ethnicity and identity"
7096,40855,2014,USA,transgender,28,9566,0.002927033,11,164,164,"race, ethnicity and identity"
7097,40856,2015,USA,transgender,86,10779,0.007978477,11,164,164,"race, ethnicity and identity"
7098,40857,2016,USA,transgender,66,12290,0.00537022,11,164,164,"race, ethnicity and identity"
7099,40858,2017,USA,transgender,76,12771,0.005950983000000001,11,164,164,"race, ethnicity and identity"
7100,40859,2018,USA,transgender,88,15174,0.005799394,11,164,164,"race, ethnicity and identity"
7101,40860,2019,USA,transgender,108,14453,0.007472497,11,164,164,"race, ethnicity and identity"
7102,40861,2020,USA,transgender,89,13040,0.0068251530000000005,11,164,164,"race, ethnicity and identity"
7103,40862,2021,USA,transgender,60,7747,0.007744934,11,164,164,"race, ethnicity and identity"
7116,40885,2010,USA,racist,1,1912,0.000523013,6,166,166,crime and violence
7117,40886,2011,USA,racist,2,3274,0.000610874,6,166,166,crime and violence
7118,40887,2012,USA,racist,2,5474,0.000365364,6,166,166,crime and violence
7119,40888,2013,USA,racist,14,7160,0.0019553070000000003,6,166,166,crime and violence
7120,40889,2014,USA,racist,16,9566,0.00167259,6,166,166,crime and violence
7121,40890,2015,USA,racist,8,10779,0.0007421839999999999,6,166,166,crime and violence
7122,40891,2016,USA,racist,18,12290,0.001464605,6,166,166,crime and violence
7123,40892,2017,USA,racist,17,12771,0.001331141,6,166,166,crime and violence
7124,40893,2018,USA,racist,51,15174,0.003361012,6,166,166,crime and violence
7125,40894,2019,USA,racist,31,14453,0.002144883,6,166,166,crime and violence
7126,40895,2020,USA,racist,59,13040,0.00452454,6,166,166,crime and violence
7127,40896,2021,USA,racist,30,7747,0.003872467,6,166,166,crime and violence
7128,40919,2010,USA,leader,1,1912,0.000523013,6,168,168,empowerment
7129,40920,2011,USA,leader,2,3274,0.000610874,6,168,168,empowerment
7130,40921,2012,USA,leader,9,5474,0.001644136,6,168,168,empowerment
7131,40922,2013,USA,leader,14,7160,0.0019553070000000003,6,168,168,empowerment
7132,40923,2014,USA,leader,10,9566,0.001045369,6,168,168,empowerment
7133,40924,2015,USA,leader,17,10779,0.001577141,6,168,168,empowerment
7134,40925,2016,USA,leader,39,12290,0.003173312,6,168,168,empowerment
7135,40926,2017,USA,leader,51,12771,0.003993423,6,168,168,empowerment
7136,40927,2018,USA,leader,57,15174,0.003756425,6,168,168,empowerment
7137,40928,2019,USA,leader,49,14453,0.0033903,6,168,168,empowerment
7138,40929,2020,USA,leader,51,13040,0.003911043,6,168,168,empowerment
7139,40930,2021,USA,leader,29,7747,0.003743385,6,168,168,empowerment
7152,40970,2010,USA,director,2,1912,0.001046025,8,172,172,empowerment
7153,40971,2011,USA,director,10,3274,0.003054368,8,172,172,empowerment
7154,40972,2012,USA,director,14,5474,0.002557545,8,172,172,empowerment
7155,40973,2013,USA,director,13,7160,0.001815642,8,172,172,empowerment
7156,40974,2014,USA,director,27,9566,0.002822496,8,172,172,empowerment
7157,40975,2015,USA,director,56,10779,0.005195287,8,172,172,empowerment
7158,40976,2016,USA,director,53,12290,0.004312449,8,172,172,empowerment
7159,40977,2017,USA,director,81,12771,0.006342495,8,172,172,empowerment
7160,40978,2018,USA,director,123,15174,0.008105971,8,172,172,empowerment
7161,40979,2019,USA,director,86,14453,0.005950321999999999,8,172,172,empowerment
7162,40980,2020,USA,director,80,13040,0.0061349690000000005,8,172,172,empowerment
7163,40981,2021,USA,director,54,7747,0.00697044,8,172,172,empowerment
7164,41123,2010,USA,church,1,1912,0.000523013,6,185,185,"race, ethnicity and identity"
7165,41124,2011,USA,church,6,3274,0.001832621,6,185,185,"race, ethnicity and identity"
7166,41125,2012,USA,church,14,5474,0.002557545,6,185,185,"race, ethnicity and identity"
7167,41126,2013,USA,church,8,7160,0.001117318,6,185,185,"race, ethnicity and identity"
7168,41127,2014,USA,church,27,9566,0.002822496,6,185,185,"race, ethnicity and identity"
7169,41128,2015,USA,church,31,10779,0.002875963,6,185,185,"race, ethnicity and identity"
7170,41129,2016,USA,church,32,12290,0.002603743,6,185,185,"race, ethnicity and identity"
7171,41130,2017,USA,church,30,12771,0.002349072,6,185,185,"race, ethnicity and identity"
7172,41131,2018,USA,church,31,15174,0.002042968,6,185,185,"race, ethnicity and identity"
7173,41132,2019,USA,church,37,14453,0.002560022,6,185,185,"race, ethnicity and identity"
7174,41133,2020,USA,church,21,13040,0.001610429,6,185,185,"race, ethnicity and identity"
7175,41134,2021,USA,church,22,7747,0.0028398090000000004,6,185,185,"race, ethnicity and identity"
7188,41242,2010,USA,abortion,1,1912,0.000523013,8,194,194,empowerment
7189,41243,2011,USA,abortion,6,3274,0.001832621,8,194,194,empowerment
7190,41244,2012,USA,abortion,16,5474,0.002922908,8,194,194,empowerment
7191,41245,2013,USA,abortion,22,7160,0.003072626,8,194,194,empowerment
7192,41246,2014,USA,abortion,24,9566,0.002508886,8,194,194,empowerment
7193,41247,2015,USA,abortion,32,10779,0.002968736,8,194,194,empowerment
7194,41248,2016,USA,abortion,68,12290,0.0055329540000000005,8,194,194,empowerment
7195,41249,2017,USA,abortion,27,12771,0.002114165,8,194,194,empowerment
7196,41250,2018,USA,abortion,45,15174,0.002965599,8,194,194,empowerment
7197,41251,2019,USA,abortion,86,14453,0.005950321999999999,8,194,194,empowerment
7198,41252,2020,USA,abortion,40,13040,0.003067485,8,194,194,empowerment
7199,41253,2021,USA,abortion,20,7747,0.002581645,8,194,194,empowerment
7200,41310,2010,USA,athlete,2,1912,0.001046025,7,200,200,empowerment
7201,41311,2011,USA,athlete,2,3274,0.000610874,7,200,200,empowerment
7202,41312,2012,USA,athlete,19,5474,0.003470954,7,200,200,empowerment
7203,41313,2013,USA,athlete,7,7160,0.000977654,7,200,200,empowerment
7204,41314,2014,USA,athlete,19,9566,0.001986201,7,200,200,empowerment
7205,41315,2015,USA,athlete,22,10779,0.002041006,7,200,200,empowerment
7206,41316,2016,USA,athlete,34,12290,0.0027664770000000003,7,200,200,empowerment
7207,41317,2017,USA,athlete,33,12771,0.002583979,7,200,200,empowerment
7208,41318,2018,USA,athlete,35,15174,0.002306577,7,200,200,empowerment
7209,41319,2019,USA,athlete,45,14453,0.00311354,7,200,200,empowerment
7210,41320,2020,USA,athlete,54,13040,0.0041411040000000005,7,200,200,empowerment
7211,41321,2021,USA,athlete,37,7747,0.004776042,7,200,200,empowerment
7212,41344,2010,USA,survive,1,1912,0.000523013,7,206,206,empowerment
7213,41345,2011,USA,survive,7,3274,0.002138057,7,206,206,empowerment
7214,41346,2012,USA,survive,17,5474,0.00310559,7,206,206,empowerment
7215,41347,2013,USA,survive,18,7160,0.002513966,7,206,206,empowerment
7216,41348,2014,USA,survive,33,9566,0.003449718,7,206,206,empowerment
7217,41349,2015,USA,survive,44,10779,0.004082011,7,206,206,empowerment
7218,41350,2016,USA,survive,23,12290,0.00187144,7,206,206,empowerment
7219,41351,2017,USA,survive,40,12771,0.003132096,7,206,206,empowerment
7220,41352,2018,USA,survive,47,15174,0.003097403,7,206,206,empowerment
7221,41353,2019,USA,survive,32,14453,0.002214073,7,206,206,empowerment
7222,41354,2020,USA,survive,40,13040,0.003067485,7,206,206,empowerment
7223,41355,2021,USA,survive,18,7747,0.00232348,7,206,206,empowerment
7224,41361,2010,USA,worth,1,1912,0.000523013,5,207,207,empowerment
7225,41362,2011,USA,worth,2,3274,0.000610874,5,207,207,empowerment
7226,41363,2012,USA,worth,4,5474,0.0007307269999999999,5,207,207,empowerment
7227,41364,2013,USA,worth,6,7160,0.0008379889999999999,5,207,207,empowerment
7228,41365,2014,USA,worth,8,9566,0.000836295,5,207,207,empowerment
7229,41366,2015,USA,worth,15,10779,0.001391595,5,207,207,empowerment
7230,41367,2016,USA,worth,12,12290,0.000976404,5,207,207,empowerment
7231,41368,2017,USA,worth,13,12771,0.001017931,5,207,207,empowerment
7232,41369,2018,USA,worth,22,15174,0.001449848,5,207,207,empowerment
7233,41370,2019,USA,worth,23,14453,0.001591365,5,207,207,empowerment
7234,41371,2020,USA,worth,16,13040,0.001226994,5,207,207,empowerment
7235,41372,2021,USA,worth,18,7747,0.00232348,5,207,207,empowerment
7236,41395,2010,USA,hate,3,1912,0.0015690379999999998,4,209,209,crime and violence
7237,41396,2011,USA,hate,9,3274,0.002748931,4,209,209,crime and violence
7238,41397,2012,USA,hate,19,5474,0.003470954,4,209,209,crime and violence
7239,41398,2013,USA,hate,22,7160,0.003072626,4,209,209,crime and violence
7240,41399,2014,USA,hate,27,9566,0.002822496,4,209,209,crime and violence
7241,41400,2015,USA,hate,18,10779,0.001669914,4,209,209,crime and violence
7242,41401,2016,USA,hate,50,12290,0.004068348,4,209,209,crime and violence
7243,41402,2017,USA,hate,43,12771,0.003367003,4,209,209,crime and violence
7244,41403,2018,USA,hate,34,15174,0.002240675,4,209,209,crime and violence
7245,41404,2019,USA,hate,36,14453,0.002490832,4,209,209,crime and violence
7246,41405,2020,USA,hate,45,13040,0.00345092,4,209,209,crime and violence
7247,41406,2021,USA,hate,51,7747,0.006583193,4,209,209,crime and violence
7248,41412,2010,USA,drama,1,1912,0.000523013,5,210,210,female stereotypes
7249,41413,2011,USA,drama,5,3274,0.001527184,5,210,210,female stereotypes
7250,41414,2012,USA,drama,10,5474,0.001826818,5,210,210,female stereotypes
7251,41415,2013,USA,drama,13,7160,0.001815642,5,210,210,female stereotypes
7252,41416,2014,USA,drama,10,9566,0.001045369,5,210,210,female stereotypes
7253,41417,2015,USA,drama,17,10779,0.001577141,5,210,210,female stereotypes
7254,41418,2016,USA,drama,19,12290,0.001545972,5,210,210,female stereotypes
7255,41419,2017,USA,drama,24,12771,0.001879258,5,210,210,female stereotypes
7256,41420,2018,USA,drama,18,15174,0.00118624,5,210,210,female stereotypes
7257,41421,2019,USA,drama,44,14453,0.003044351,5,210,210,female stereotypes
7258,41422,2020,USA,drama,36,13040,0.002760736,5,210,210,female stereotypes
7259,41423,2021,USA,drama,17,7747,0.002194398,5,210,210,female stereotypes
7260,41446,2010,USA,writer,1,1912,0.000523013,6,212,212,empowerment
7261,41447,2011,USA,writer,8,3274,0.002443494,6,212,212,empowerment
7262,41448,2012,USA,writer,8,5474,0.0014614539999999998,6,212,212,empowerment
7263,41449,2013,USA,writer,20,7160,0.002793296,6,212,212,empowerment
7264,41450,2014,USA,writer,24,9566,0.002508886,6,212,212,empowerment
7265,41451,2015,USA,writer,22,10779,0.002041006,6,212,212,empowerment
7266,41452,2016,USA,writer,34,12290,0.0027664770000000003,6,212,212,empowerment
7267,41453,2017,USA,writer,31,12771,0.002427375,6,212,212,empowerment
7268,41454,2018,USA,writer,31,15174,0.002042968,6,212,212,empowerment
7269,41455,2019,USA,writer,34,14453,0.002352453,6,212,212,empowerment
7270,41456,2020,USA,writer,11,13040,0.000843558,6,212,212,empowerment
7271,41457,2021,USA,writer,17,7747,0.002194398,6,212,212,empowerment
7284,41582,2010,USA,career,3,1912,0.0015690379999999998,6,225,225,empowerment
7285,41583,2011,USA,career,8,3274,0.002443494,6,225,225,empowerment
7286,41584,2012,USA,career,25,5474,0.004567044,6,225,225,empowerment
7287,41585,2013,USA,career,21,7160,0.002932961,6,225,225,empowerment
7288,41586,2014,USA,career,33,9566,0.003449718,6,225,225,empowerment
7289,41587,2015,USA,career,35,10779,0.003247054,6,225,225,empowerment
7290,41588,2016,USA,career,46,12290,0.00374288,6,225,225,empowerment
7291,41589,2017,USA,career,53,12771,0.004150027,6,225,225,empowerment
7292,41590,2018,USA,career,73,15174,0.004810861,6,225,225,empowerment
7293,41591,2019,USA,career,68,14453,0.004704906,6,225,225,empowerment
7294,41592,2020,USA,career,52,13040,0.00398773,6,225,225,empowerment
7295,41593,2021,USA,career,46,7747,0.005937782,6,225,225,empowerment
7308,41701,2010,USA,elect,1,1912,0.000523013,5,237,237,empowerment
7309,41702,2011,USA,elect,0,3274,0.0,5,237,237,empowerment
7310,41703,2012,USA,elect,2,5474,0.000365364,5,237,237,empowerment
7311,41704,2013,USA,elect,2,7160,0.00027933,5,237,237,empowerment
7312,41705,2014,USA,elect,11,9566,0.001149906,5,237,237,empowerment
7313,41706,2015,USA,elect,13,10779,0.0012060489999999998,5,237,237,empowerment
7314,41707,2016,USA,elect,32,12290,0.002603743,5,237,237,empowerment
7315,41708,2017,USA,elect,18,12771,0.0014094429999999998,5,237,237,empowerment
7316,41709,2018,USA,elect,65,15174,0.004283643,5,237,237,empowerment
7317,41710,2019,USA,elect,26,14453,0.001798934,5,237,237,empowerment
7318,41711,2020,USA,elect,47,13040,0.003604294,5,237,237,empowerment
7319,41712,2021,USA,elect,14,7747,0.001807151,5,237,237,empowerment
7320,41718,2010,USA,weight,1,1912,0.000523013,6,241,241,female stereotypes
7321,41719,2011,USA,weight,11,3274,0.003359805,6,241,241,female stereotypes
7322,41720,2012,USA,weight,16,5474,0.002922908,6,241,241,female stereotypes
7323,41721,2013,USA,weight,31,7160,0.004329609,6,241,241,female stereotypes
7324,41722,2014,USA,weight,32,9566,0.003345181,6,241,241,female stereotypes
7325,41723,2015,USA,weight,29,10779,0.002690417,6,241,241,female stereotypes
7326,41724,2016,USA,weight,47,12290,0.003824247,6,241,241,female stereotypes
7327,41725,2017,USA,weight,35,12771,0.0027405840000000003,6,241,241,female stereotypes
7328,41726,2018,USA,weight,30,15174,0.001977066,6,241,241,female stereotypes
7329,41727,2019,USA,weight,20,14453,0.001383796,6,241,241,female stereotypes
7330,41728,2020,USA,weight,28,13040,0.002147239,6,241,241,female stereotypes
7331,41729,2021,USA,weight,14,7747,0.001807151,6,241,241,female stereotypes
7332,41735,2010,USA,oscar,4,1912,0.00209205,5,242,242,empowerment
7333,41736,2011,USA,oscar,13,3274,0.003970678,5,242,242,empowerment
7334,41737,2012,USA,oscar,14,5474,0.002557545,5,242,242,empowerment
7335,41738,2013,USA,oscar,29,7160,0.004050279,5,242,242,empowerment
7336,41739,2014,USA,oscar,55,9566,0.00574953,5,242,242,empowerment
7337,41740,2015,USA,oscar,65,10779,0.006030244000000001,5,242,242,empowerment
7338,41741,2016,USA,oscar,48,12290,0.003905614,5,242,242,empowerment
7339,41742,2017,USA,oscar,54,12771,0.00422833,5,242,242,empowerment
7340,41743,2018,USA,oscar,96,15174,0.006326610999999999,5,242,242,empowerment
7341,41744,2019,USA,oscar,88,14453,0.006088701,5,242,242,empowerment
7342,41745,2020,USA,oscar,74,13040,0.005674846999999999,5,242,242,empowerment
7343,41746,2021,USA,oscar,55,7747,0.007099522,5,242,242,empowerment
7344,41837,2010,USA,empower,1,1912,0.000523013,7,251,251,empowerment
7345,41838,2011,USA,empower,4,3274,0.001221747,7,251,251,empowerment
7346,41839,2012,USA,empower,1,5474,0.000182682,7,251,251,empowerment
7347,41840,2013,USA,empower,5,7160,0.000698324,7,251,251,empowerment
7348,41841,2014,USA,empower,11,9566,0.001149906,7,251,251,empowerment
7349,41842,2015,USA,empower,14,10779,0.001298822,7,251,251,empowerment
7350,41843,2016,USA,empower,22,12290,0.001790073,7,251,251,empowerment
7351,41844,2017,USA,empower,27,12771,0.002114165,7,251,251,empowerment
7352,41845,2018,USA,empower,27,15174,0.001779359,7,251,251,empowerment
7353,41846,2019,USA,empower,32,14453,0.002214073,7,251,251,empowerment
7354,41847,2020,USA,empower,9,13040,0.0006901839999999999,7,251,251,empowerment
7355,41848,2021,USA,empower,13,7747,0.001678069,7,251,251,empowerment
7356,41854,2010,USA,pink,1,1912,0.000523013,4,253,253,female stereotypes
7357,41855,2011,USA,pink,10,3274,0.003054368,4,253,253,female stereotypes
7358,41856,2012,USA,pink,11,5474,0.002009499,4,253,253,female stereotypes
7359,41857,2013,USA,pink,17,7160,0.002374302,4,253,253,female stereotypes
7360,41858,2014,USA,pink,14,9566,0.001463517,4,253,253,female stereotypes
7361,41859,2015,USA,pink,25,10779,0.002319325,4,253,253,female stereotypes
7362,41860,2016,USA,pink,15,12290,0.001220504,4,253,253,female stereotypes
7363,41861,2017,USA,pink,38,12771,0.002975491,4,253,253,female stereotypes
7364,41862,2018,USA,pink,27,15174,0.001779359,4,253,253,female stereotypes
7365,41863,2019,USA,pink,34,14453,0.002352453,4,253,253,female stereotypes
7366,41864,2020,USA,pink,15,13040,0.001150307,4,253,253,female stereotypes
7367,41865,2021,USA,pink,13,7747,0.001678069,4,253,253,female stereotypes
7380,41922,2010,USA,knife,1,1912,0.000523013,5,258,258,crime and violence
7381,41923,2011,USA,knife,2,3274,0.000610874,5,258,258,crime and violence
7382,41924,2012,USA,knife,7,5474,0.001278772,5,258,258,crime and violence
7383,41925,2013,USA,knife,9,7160,0.001256983,5,258,258,crime and violence
7384,41926,2014,USA,knife,14,9566,0.001463517,5,258,258,crime and violence
7385,41927,2015,USA,knife,14,10779,0.001298822,5,258,258,crime and violence
7386,41928,2016,USA,knife,15,12290,0.001220504,5,258,258,crime and violence
7387,41929,2017,USA,knife,13,12771,0.001017931,5,258,258,crime and violence
7388,41930,2018,USA,knife,33,15174,0.002174773,5,258,258,crime and violence
7389,41931,2019,USA,knife,18,14453,0.001245416,5,258,258,crime and violence
7390,41932,2020,USA,knife,18,13040,0.001380368,5,258,258,crime and violence
7391,41933,2021,USA,knife,12,7747,0.0015489870000000002,5,258,258,crime and violence
7404,42126,2010,USA,sexual,7,1912,0.003661088,6,276,273,female stereotypes
7405,42127,2011,USA,sexual,9,3274,0.002748931,6,276,273,female stereotypes
7406,42128,2012,USA,sexual,16,5474,0.002922908,6,276,273,female stereotypes
7407,42129,2013,USA,sexual,22,7160,0.003072626,6,276,273,female stereotypes
7408,42130,2014,USA,sexual,53,9566,0.005540456,6,276,273,female stereotypes
7409,42131,2015,USA,sexual,49,10779,0.004545876,6,276,273,female stereotypes
7410,42132,2016,USA,sexual,103,12290,0.008380796999999999,6,276,273,female stereotypes
7411,42133,2017,USA,sexual,202,12771,0.015817086,6,276,273,female stereotypes
7412,42134,2018,USA,sexual,216,15174,0.014234875,6,276,273,female stereotypes
7413,42135,2019,USA,sexual,118,14453,0.008164395,6,276,273,female stereotypes
7414,42136,2020,USA,sexual,77,13040,0.005904908,6,276,273,female stereotypes
7415,42137,2021,USA,sexual,76,7747,0.009810249,6,276,273,female stereotypes
7416,42160,2010,USA,police,24,1912,0.012552301,6,278,277,crime and violence
7417,42161,2011,USA,police,31,3274,0.00946854,6,278,277,crime and violence
7418,42162,2012,USA,police,96,5474,0.01753745,6,278,277,crime and violence
7419,42163,2013,USA,police,92,7160,0.012849162,6,278,277,crime and violence
7420,42164,2014,USA,police,240,9566,0.025088856,6,278,277,crime and violence
7421,42165,2015,USA,police,265,10779,0.024584841,6,278,277,crime and violence
7422,42166,2016,USA,police,297,12290,0.024165989,6,278,277,crime and violence
7423,42167,2017,USA,police,292,12771,0.022864302000000003,6,278,277,crime and violence
7424,42168,2018,USA,police,395,15174,0.026031369,6,278,277,crime and violence
7425,42169,2019,USA,police,423,14453,0.02926728,6,278,277,crime and violence
7426,42170,2020,USA,police,307,13040,0.023542945,6,278,277,crime and violence
7427,42171,2021,USA,police,255,7747,0.032915967000000004,6,278,277,crime and violence
7440,42194,2010,USA,ceo,2,1912,0.001046025,3,280,280,empowerment
7441,42195,2011,USA,ceo,1,3274,0.000305437,3,280,280,empowerment
7442,42196,2012,USA,ceo,4,5474,0.0007307269999999999,3,280,280,empowerment
7443,42197,2013,USA,ceo,18,7160,0.002513966,3,280,280,empowerment
7444,42198,2014,USA,ceo,25,9566,0.002613423,3,280,280,empowerment
7445,42199,2015,USA,ceo,24,10779,0.002226552,3,280,280,empowerment
7446,42200,2016,USA,ceo,32,12290,0.002603743,3,280,280,empowerment
7447,42201,2017,USA,ceo,39,12771,0.0030537940000000003,3,280,280,empowerment
7448,42202,2018,USA,ceo,77,15174,0.005074469,3,280,280,empowerment
7449,42203,2019,USA,ceo,49,14453,0.0033903,3,280,280,empowerment
7450,42204,2020,USA,ceo,55,13040,0.004217790999999999,3,280,280,empowerment
7451,42205,2021,USA,ceo,21,7747,0.002710727,3,280,280,empowerment
7488,42415,2010,USA,support,5,1912,0.002615063,7,302,302,female stereotypes
7489,42416,2011,USA,support,12,3274,0.003665241,7,302,302,female stereotypes
7490,42417,2012,USA,support,8,5474,0.0014614539999999998,7,302,302,female stereotypes
7491,42418,2013,USA,support,22,7160,0.003072626,7,302,302,female stereotypes
7492,42419,2014,USA,support,34,9566,0.003554255,7,302,302,female stereotypes
7493,42420,2015,USA,support,43,10779,0.003989238,7,302,302,female stereotypes
7494,42421,2016,USA,support,79,12290,0.00642799,7,302,302,female stereotypes
7495,42422,2017,USA,support,51,12771,0.003993423,7,302,302,female stereotypes
7496,42423,2018,USA,support,79,15174,0.005206274,7,302,302,female stereotypes
7497,42424,2019,USA,support,83,14453,0.005742751999999999,7,302,302,female stereotypes
7498,42425,2020,USA,support,88,13040,0.006748466,7,302,302,female stereotypes
7499,42426,2021,USA,support,49,7747,0.006325029,7,302,302,female stereotypes
7500,42449,2010,USA,lead,10,1912,0.005230126,4,304,304,empowerment
7501,42450,2011,USA,lead,21,3274,0.006414171999999999,4,304,304,empowerment
7502,42451,2012,USA,lead,36,5474,0.006576544,4,304,304,empowerment
7503,42452,2013,USA,lead,49,7160,0.006843575,4,304,304,empowerment
7504,42453,2014,USA,lead,59,9566,0.006167677,4,304,304,empowerment
7505,42454,2015,USA,lead,79,10779,0.007329065999999999,4,304,304,empowerment
7506,42455,2016,USA,lead,99,12290,0.00805533,4,304,304,empowerment
7507,42456,2017,USA,lead,117,12771,0.009161381,4,304,304,empowerment
7508,42457,2018,USA,lead,155,15174,0.010214841,4,304,304,empowerment
7509,42458,2019,USA,lead,127,14453,0.008787103000000001,4,304,304,empowerment
7510,42459,2020,USA,lead,111,13040,0.00851227,4,304,304,empowerment
7511,42460,2021,USA,lead,97,7747,0.012520976,4,304,304,empowerment
7572,42789,2010,USA,founder,1,1912,0.000523013,7,330,330,empowerment
7573,42790,2011,USA,founder,0,3274,0.0,7,330,330,empowerment
7574,42791,2012,USA,founder,6,5474,0.001096091,7,330,330,empowerment
7575,42792,2013,USA,founder,7,7160,0.000977654,7,330,330,empowerment
7576,42793,2014,USA,founder,9,9566,0.000940832,7,330,330,empowerment
7577,42794,2015,USA,founder,11,10779,0.001020503,7,330,330,empowerment
7578,42795,2016,USA,founder,15,12290,0.001220504,7,330,330,empowerment
7579,42796,2017,USA,founder,13,12771,0.001017931,7,330,330,empowerment
7580,42797,2018,USA,founder,19,15174,0.001252142,7,330,330,empowerment
7581,42798,2019,USA,founder,28,14453,0.001937314,7,330,330,empowerment
7582,42799,2020,USA,founder,24,13040,0.001840491,7,330,330,empowerment
7583,42800,2021,USA,founder,9,7747,0.00116174,7,330,330,empowerment
7584,42823,2010,USA,princess,1,1912,0.000523013,8,332,332,female stereotypes
7585,42824,2011,USA,princess,4,3274,0.001221747,8,332,332,female stereotypes
7586,42825,2012,USA,princess,8,5474,0.0014614539999999998,8,332,332,female stereotypes
7587,42826,2013,USA,princess,15,7160,0.002094972,8,332,332,female stereotypes
7588,42827,2014,USA,princess,18,9566,0.001881664,8,332,332,female stereotypes
7589,42828,2015,USA,princess,30,10779,0.00278319,8,332,332,female stereotypes
7590,42829,2016,USA,princess,40,12290,0.0032546790000000003,8,332,332,female stereotypes
7591,42830,2017,USA,princess,56,12771,0.004384935,8,332,332,female stereotypes
7592,42831,2018,USA,princess,44,15174,0.002899697,8,332,332,female stereotypes
7593,42832,2019,USA,princess,25,14453,0.001729745,8,332,332,female stereotypes
7594,42833,2020,USA,princess,27,13040,0.002070552,8,332,332,female stereotypes
7595,42834,2021,USA,princess,9,7747,0.00116174,8,332,332,female stereotypes
7608,42874,2010,USA,allegedly,8,1912,0.0041841000000000005,9,335,335,crime and violence
7609,42875,2011,USA,allegedly,19,3274,0.0058032990000000005,9,335,335,crime and violence
7610,42876,2012,USA,allegedly,31,5474,0.005663135,9,335,335,crime and violence
7611,42877,2013,USA,allegedly,41,7160,0.005726256999999999,9,335,335,crime and violence
7612,42878,2014,USA,allegedly,63,9566,0.006585825,9,335,335,crime and violence
7613,42879,2015,USA,allegedly,65,10779,0.006030244000000001,9,335,335,crime and violence
7614,42880,2016,USA,allegedly,68,12290,0.0055329540000000005,9,335,335,crime and violence
7615,42881,2017,USA,allegedly,123,12771,0.009631196,9,335,335,crime and violence
7616,42882,2018,USA,allegedly,178,15174,0.011730592,9,335,335,crime and violence
7617,42883,2019,USA,allegedly,195,14453,0.013492009,9,335,335,crime and violence
7618,42884,2020,USA,allegedly,135,13040,0.010352761,9,335,335,crime and violence
7619,42885,2021,USA,allegedly,70,7747,0.009035756,9,335,335,crime and violence
7620,42891,2010,USA,child,17,1912,0.008891213,5,336,336,female stereotypes
7621,42892,2011,USA,child,37,3274,0.011301161,5,336,336,female stereotypes
7622,42893,2012,USA,child,68,5474,0.01242236,5,336,336,female stereotypes
7623,42894,2013,USA,child,97,7160,0.013547486,5,336,336,female stereotypes
7624,42895,2014,USA,child,142,9566,0.01484424,5,336,336,female stereotypes
7625,42896,2015,USA,child,178,10779,0.016513591,5,336,336,female stereotypes
7626,42897,2016,USA,child,167,12290,0.013588283,5,336,336,female stereotypes
7627,42898,2017,USA,child,161,12771,0.012606687,5,336,336,female stereotypes
7628,42899,2018,USA,child,234,15174,0.015421115,5,336,336,female stereotypes
7629,42900,2019,USA,child,218,14453,0.015083373999999997,5,336,336,female stereotypes
7630,42901,2020,USA,child,210,13040,0.016104293999999998,5,336,336,female stereotypes
7631,42902,2021,USA,child,148,7747,0.019104169,5,336,336,female stereotypes
7632,43010,2010,USA,burn,2,1912,0.001046025,4,344,345,crime and violence
7633,43011,2011,USA,burn,10,3274,0.003054368,4,344,345,crime and violence
7634,43012,2012,USA,burn,15,5474,0.002740227,4,344,345,crime and violence
7635,43013,2013,USA,burn,21,7160,0.002932961,4,344,345,crime and violence
7636,43014,2014,USA,burn,32,9566,0.003345181,4,344,345,crime and violence
7637,43015,2015,USA,burn,43,10779,0.003989238,4,344,345,crime and violence
7638,43016,2016,USA,burn,38,12290,0.003091945,4,344,345,crime and violence
7639,43017,2017,USA,burn,59,12771,0.004619842,4,344,345,crime and violence
7640,43018,2018,USA,burn,41,15174,0.00270199,4,344,345,crime and violence
7641,43019,2019,USA,burn,49,14453,0.0033903,4,344,345,crime and violence
7642,43020,2020,USA,burn,24,13040,0.001840491,4,344,345,crime and violence
7643,43021,2021,USA,burn,17,7747,0.002194398,4,344,345,crime and violence
7656,43112,2010,USA,first,45,1912,0.023535565,5,352,343,empowerment
7657,43113,2011,USA,first,87,3274,0.026572999,5,352,343,empowerment
7658,43114,2012,USA,first,171,5474,0.031238582,5,352,343,empowerment
7659,43115,2013,USA,first,223,7160,0.031145251,5,352,343,empowerment
7660,43116,2014,USA,first,331,9566,0.034601714,5,352,343,empowerment
7661,43117,2015,USA,first,381,10779,0.035346507,5,352,343,empowerment
7662,43118,2016,USA,first,474,12290,0.038567941,5,352,343,empowerment
7663,43119,2017,USA,first,506,12771,0.039621016,5,352,343,empowerment
7664,43120,2018,USA,first,657,15174,0.043297746,5,352,343,empowerment
7665,43121,2019,USA,first,512,14453,0.035425171,5,352,343,empowerment
7666,43122,2020,USA,first,566,13040,0.043404908,5,352,343,empowerment
7667,43123,2021,USA,first,382,7747,0.04930941,5,352,343,empowerment
7668,43163,2010,USA,strong,3,1912,0.0015690379999999998,6,356,356,empowerment
7669,43164,2011,USA,strong,7,3274,0.002138057,6,356,356,empowerment
7670,43165,2012,USA,strong,7,5474,0.001278772,6,356,356,empowerment
7671,43166,2013,USA,strong,12,7160,0.0016759779999999998,6,356,356,empowerment
7672,43167,2014,USA,strong,19,9566,0.001986201,6,356,356,empowerment
7673,43168,2015,USA,strong,34,10779,0.003154281,6,356,356,empowerment
7674,43169,2016,USA,strong,31,12290,0.002522376,6,356,356,empowerment
7675,43170,2017,USA,strong,39,12771,0.0030537940000000003,6,356,356,empowerment
7676,43171,2018,USA,strong,54,15174,0.003558719,6,356,356,empowerment
7677,43172,2019,USA,strong,38,14453,0.002629212,6,356,356,empowerment
7678,43173,2020,USA,strong,24,13040,0.001840491,6,356,356,empowerment
7679,43174,2021,USA,strong,25,7747,0.003227056,6,356,356,empowerment
7716,43384,2010,USA,fighter,1,1912,0.000523013,7,369,369,empowerment
7717,43385,2011,USA,fighter,2,3274,0.000610874,7,369,369,empowerment
7718,43386,2012,USA,fighter,10,5474,0.001826818,7,369,369,empowerment
7719,43387,2013,USA,fighter,13,7160,0.001815642,7,369,369,empowerment
7720,43388,2014,USA,fighter,24,9566,0.002508886,7,369,369,empowerment
7721,43389,2015,USA,fighter,13,10779,0.0012060489999999998,7,369,369,empowerment
7722,43390,2016,USA,fighter,14,12290,0.001139138,7,369,369,empowerment
7723,43391,2017,USA,fighter,11,12771,0.000861326,7,369,369,empowerment
7724,43392,2018,USA,fighter,20,15174,0.001318044,7,369,369,empowerment
7725,43393,2019,USA,fighter,18,14453,0.001245416,7,369,369,empowerment
7726,43394,2020,USA,fighter,14,13040,0.00107362,7,369,369,empowerment
7727,43395,2021,USA,fighter,8,7747,0.001032658,7,369,369,empowerment
7752,43520,2010,USA,family,17,1912,0.008891213,6,378,378,female stereotypes
7753,43521,2011,USA,family,45,3274,0.013744655,6,378,378,female stereotypes
7754,43522,2012,USA,family,81,5474,0.014797223,6,378,378,female stereotypes
7755,43523,2013,USA,family,103,7160,0.014385475,6,378,378,female stereotypes
7756,43524,2014,USA,family,146,9566,0.015262388,6,378,378,female stereotypes
7757,43525,2015,USA,family,168,10779,0.015585861,6,378,378,female stereotypes
7758,43526,2016,USA,family,198,12290,0.016110659,6,378,378,female stereotypes
7759,43527,2017,USA,family,190,12771,0.014877457,6,378,378,female stereotypes
7760,43528,2018,USA,family,264,15174,0.017398181000000002,6,378,378,female stereotypes
7761,43529,2019,USA,family,259,14453,0.017920155,6,378,378,female stereotypes
7762,43530,2020,USA,family,214,13040,0.016411043,6,378,378,female stereotypes
7763,43531,2021,USA,family,131,7747,0.016909772,6,378,378,female stereotypes
7764,43554,2010,USA,daughter,20,1912,0.010460251,8,380,379,female stereotypes
7765,43555,2011,USA,daughter,51,3274,0.015577276,8,380,379,female stereotypes
7766,43556,2012,USA,daughter,118,5474,0.021556449,8,380,379,female stereotypes
7767,43557,2013,USA,daughter,124,7160,0.017318436,8,380,379,female stereotypes
7768,43558,2014,USA,daughter,159,9566,0.016621366999999998,8,380,379,female stereotypes
7769,43559,2015,USA,daughter,200,10779,0.018554597,8,380,379,female stereotypes
7770,43560,2016,USA,daughter,257,12290,0.02091131,8,380,379,female stereotypes
7771,43561,2017,USA,daughter,289,12771,0.022629395,8,380,379,female stereotypes
7772,43562,2018,USA,daughter,289,15174,0.019045736,8,380,379,female stereotypes
7773,43563,2019,USA,daughter,316,14453,0.021863973,8,380,379,female stereotypes
7774,43564,2020,USA,daughter,296,13040,0.022699387,8,380,379,female stereotypes
7775,43565,2021,USA,daughter,153,7747,0.01974958,8,380,379,female stereotypes
7776,43571,2010,USA,white,11,1912,0.0057531380000000005,5,381,380,"race, ethnicity and identity"
7777,43572,2011,USA,white,21,3274,0.006414171999999999,5,381,380,"race, ethnicity and identity"
7778,43573,2012,USA,white,34,5474,0.00621118,5,381,380,"race, ethnicity and identity"
7779,43574,2013,USA,white,43,7160,0.006005587,5,381,380,"race, ethnicity and identity"
7780,43575,2014,USA,white,36,9566,0.003763328,5,381,380,"race, ethnicity and identity"
7781,43576,2015,USA,white,74,10779,0.006865201,5,381,380,"race, ethnicity and identity"
7782,43577,2016,USA,white,141,12290,0.011472742,5,381,380,"race, ethnicity and identity"
7783,43578,2017,USA,white,125,12771,0.0097878,5,381,380,"race, ethnicity and identity"
7784,43579,2018,USA,white,183,15174,0.012060103,5,381,380,"race, ethnicity and identity"
7785,43580,2019,USA,white,125,14453,0.008648723,5,381,380,"race, ethnicity and identity"
7786,43581,2020,USA,white,217,13040,0.016641104,5,381,380,"race, ethnicity and identity"
7787,43582,2021,USA,white,84,7747,0.010842907,5,381,380,"race, ethnicity and identity"
7788,43622,2010,USA,accuse,20,1912,0.010460251,6,384,384,crime and violence
7789,43623,2011,USA,accuse,27,3274,0.008246793,6,384,384,crime and violence
7790,43624,2012,USA,accuse,71,5474,0.012970406,6,384,384,crime and violence
7791,43625,2013,USA,accuse,78,7160,0.010893855,6,384,384,crime and violence
7792,43626,2014,USA,accuse,116,9566,0.012126281,6,384,384,crime and violence
7793,43627,2015,USA,accuse,135,10779,0.012524353,6,384,384,crime and violence
7794,43628,2016,USA,accuse,191,12290,0.01554109,6,384,384,crime and violence
7795,43629,2017,USA,accuse,281,12771,0.022002975,6,384,384,crime and violence
7796,43630,2018,USA,accuse,339,15174,0.022340846,6,384,384,crime and violence
7797,43631,2019,USA,accuse,291,14453,0.020134228,6,384,384,crime and violence
7798,43632,2020,USA,accuse,175,13040,0.013420245,6,384,384,crime and violence
7799,43633,2021,USA,accuse,150,7747,0.019362334,6,384,384,crime and violence
7800,43724,2010,USA,artist,3,1912,0.0015690379999999998,6,391,391,empowerment
7801,43725,2011,USA,artist,8,3274,0.002443494,6,391,391,empowerment
7802,43726,2012,USA,artist,15,5474,0.002740227,6,391,391,empowerment
7803,43727,2013,USA,artist,16,7160,0.0022346370000000003,6,391,391,empowerment
7804,43728,2014,USA,artist,19,9566,0.001986201,6,391,391,empowerment
7805,43729,2015,USA,artist,38,10779,0.003525373,6,391,391,empowerment
7806,43730,2016,USA,artist,40,12290,0.0032546790000000003,6,391,391,empowerment
7807,43731,2017,USA,artist,48,12771,0.003758515,6,391,391,empowerment
7808,43732,2018,USA,artist,46,15174,0.003031501,6,391,391,empowerment
7809,43733,2019,USA,artist,48,14453,0.00332111,6,391,391,empowerment
7810,43734,2020,USA,artist,34,13040,0.002607362,6,391,391,empowerment
7811,43735,2021,USA,artist,22,7747,0.0028398090000000004,6,391,391,empowerment
7812,43741,2010,USA,force,5,1912,0.002615063,5,392,392,crime and violence
7813,43742,2011,USA,force,10,3274,0.003054368,5,392,392,crime and violence
7814,43743,2012,USA,force,16,5474,0.002922908,5,392,392,crime and violence
7815,43744,2013,USA,force,33,7160,0.004608939,5,392,392,crime and violence
7816,43745,2014,USA,force,42,9566,0.00439055,5,392,392,crime and violence
7817,43746,2015,USA,force,64,10779,0.005937471,5,392,392,crime and violence
7818,43747,2016,USA,force,53,12290,0.004312449,5,392,392,crime and violence
7819,43748,2017,USA,force,71,12771,0.005559471,5,392,392,crime and violence
7820,43749,2018,USA,force,81,15174,0.005338078,5,392,392,crime and violence
7821,43750,2019,USA,force,69,14453,0.004774095,5,392,392,crime and violence
7822,43751,2020,USA,force,82,13040,0.006288344,5,392,392,crime and violence
7823,43752,2021,USA,force,36,7747,0.00464696,5,392,392,crime and violence
7824,43911,2010,USA,chinese,2,1912,0.001046025,7,402,402,"race, ethnicity and identity"
7825,43912,2011,USA,chinese,10,3274,0.003054368,7,402,402,"race, ethnicity and identity"
7826,43913,2012,USA,chinese,12,5474,0.002192181,7,402,402,"race, ethnicity and identity"
7827,43914,2013,USA,chinese,25,7160,0.00349162,7,402,402,"race, ethnicity and identity"
7828,43915,2014,USA,chinese,12,9566,0.001254443,7,402,402,"race, ethnicity and identity"
7829,43916,2015,USA,chinese,21,10779,0.001948233,7,402,402,"race, ethnicity and identity"
7830,43917,2016,USA,chinese,21,12290,0.0017087060000000002,7,402,402,"race, ethnicity and identity"
7831,43918,2017,USA,chinese,18,12771,0.0014094429999999998,7,402,402,"race, ethnicity and identity"
7832,43919,2018,USA,chinese,16,15174,0.001054435,7,402,402,"race, ethnicity and identity"
7833,43920,2019,USA,chinese,40,14453,0.002767592,7,402,402,"race, ethnicity and identity"
7834,43921,2020,USA,chinese,13,13040,0.000996933,7,402,402,"race, ethnicity and identity"
7835,43922,2021,USA,chinese,14,7747,0.001807151,7,402,402,"race, ethnicity and identity"
7836,43979,2010,USA,security,2,1912,0.001046025,8,406,406,crime and violence
7837,43980,2011,USA,security,4,3274,0.001221747,8,406,406,crime and violence
7838,43981,2012,USA,security,7,5474,0.001278772,8,406,406,crime and violence
7839,43982,2013,USA,security,10,7160,0.001396648,8,406,406,crime and violence
7840,43983,2014,USA,security,6,9566,0.000627221,8,406,406,crime and violence
7841,43984,2015,USA,security,16,10779,0.0014843679999999998,8,406,406,crime and violence
7842,43985,2016,USA,security,15,12290,0.001220504,8,406,406,crime and violence
7843,43986,2017,USA,security,12,12771,0.000939629,8,406,406,crime and violence
7844,43987,2018,USA,security,27,15174,0.001779359,8,406,406,crime and violence
7845,43988,2019,USA,security,33,14453,0.002283263,8,406,406,crime and violence
7846,43989,2020,USA,security,14,13040,0.00107362,8,406,406,crime and violence
7847,43990,2021,USA,security,14,7747,0.001807151,8,406,406,crime and violence
7848,44013,2010,USA,freedom,1,1912,0.000523013,7,408,408,empowerment
7849,44014,2011,USA,freedom,3,3274,0.00091631,7,408,408,empowerment
7850,44015,2012,USA,freedom,4,5474,0.0007307269999999999,7,408,408,empowerment
7851,44016,2013,USA,freedom,4,7160,0.000558659,7,408,408,empowerment
7852,44017,2014,USA,freedom,4,9566,0.000418148,7,408,408,empowerment
7853,44018,2015,USA,freedom,3,10779,0.000278319,7,408,408,empowerment
7854,44019,2016,USA,freedom,8,12290,0.000650936,7,408,408,empowerment
7855,44020,2017,USA,freedom,5,12771,0.000391512,7,408,408,empowerment
7856,44021,2018,USA,freedom,11,15174,0.000724924,7,408,408,empowerment
7857,44022,2019,USA,freedom,13,14453,0.0008994669999999998,7,408,408,empowerment
7858,44023,2020,USA,freedom,13,13040,0.000996933,7,408,408,empowerment
7859,44024,2021,USA,freedom,7,7747,0.000903576,7,408,408,empowerment
7872,44132,2010,USA,death,27,1912,0.014121338999999997,5,415,415,crime and violence
7873,44133,2011,USA,death,57,3274,0.017409896,5,415,415,crime and violence
7874,44134,2012,USA,death,114,5474,0.020825722,5,415,415,crime and violence
7875,44135,2013,USA,death,146,7160,0.020391061,5,415,415,crime and violence
7876,44136,2014,USA,death,257,9566,0.026865984,5,415,415,crime and violence
7877,44137,2015,USA,death,243,10779,0.022543835,5,415,415,crime and violence
7878,44138,2016,USA,death,297,12290,0.024165989,5,415,415,crime and violence
7879,44139,2017,USA,death,262,12771,0.02051523,5,415,415,crime and violence
7880,44140,2018,USA,death,285,15174,0.018782127,5,415,415,crime and violence
7881,44141,2019,USA,death,316,14453,0.021863973,5,415,415,crime and violence
7882,44142,2020,USA,death,269,13040,0.020628834,5,415,415,crime and violence
7883,44143,2021,USA,death,183,7747,0.023622047,5,415,415,crime and violence
7884,44166,2010,USA,lawyer,4,1912,0.00209205,6,417,417,empowerment
7885,44167,2011,USA,lawyer,4,3274,0.001221747,6,417,417,empowerment
7886,44168,2012,USA,lawyer,17,5474,0.00310559,6,417,417,empowerment
7887,44169,2013,USA,lawyer,13,7160,0.001815642,6,417,417,empowerment
7888,44170,2014,USA,lawyer,28,9566,0.002927033,6,417,417,empowerment
7889,44171,2015,USA,lawyer,22,10779,0.002041006,6,417,417,empowerment
7890,44172,2016,USA,lawyer,27,12290,0.002196908,6,417,417,empowerment
7891,44173,2017,USA,lawyer,29,12771,0.00227077,6,417,417,empowerment
7892,44174,2018,USA,lawyer,34,15174,0.002240675,6,417,417,empowerment
7893,44175,2019,USA,lawyer,48,14453,0.00332111,6,417,417,empowerment
7894,44176,2020,USA,lawyer,33,13040,0.002530675,6,417,417,empowerment
7895,44177,2021,USA,lawyer,27,7747,0.00348522,6,417,417,empowerment
7896,44217,2010,USA,owner,3,1912,0.0015690379999999998,5,420,420,empowerment
7897,44218,2011,USA,owner,2,3274,0.000610874,5,420,420,empowerment
7898,44219,2012,USA,owner,6,5474,0.001096091,5,420,420,empowerment
7899,44220,2013,USA,owner,7,7160,0.000977654,5,420,420,empowerment
7900,44221,2014,USA,owner,12,9566,0.001254443,5,420,420,empowerment
7901,44222,2015,USA,owner,6,10779,0.000556638,5,420,420,empowerment
7902,44223,2016,USA,owner,15,12290,0.001220504,5,420,420,empowerment
7903,44224,2017,USA,owner,24,12771,0.001879258,5,420,420,empowerment
7904,44225,2018,USA,owner,27,15174,0.001779359,5,420,420,empowerment
7905,44226,2019,USA,owner,32,14453,0.002214073,5,420,420,empowerment
7906,44227,2020,USA,owner,37,13040,0.002837423,5,420,420,empowerment
7907,44228,2021,USA,owner,20,7747,0.002581645,5,420,420,empowerment
7908,44251,2010,USA,pregnant,18,1912,0.009414226,8,422,422,female stereotypes
7909,44252,2011,USA,pregnant,36,3274,0.010995723999999998,8,422,422,female stereotypes
7910,44253,2012,USA,pregnant,53,5474,0.009682134,8,422,422,female stereotypes
7911,44254,2013,USA,pregnant,93,7160,0.012988827,8,422,422,female stereotypes
7912,44255,2014,USA,pregnant,172,9566,0.017980347,8,422,422,female stereotypes
7913,44256,2015,USA,pregnant,174,10779,0.016142498999999998,8,422,422,female stereotypes
7914,44257,2016,USA,pregnant,180,12290,0.014646054,8,422,422,female stereotypes
7915,44258,2017,USA,pregnant,169,12771,0.013233106,8,422,422,female stereotypes
7916,44259,2018,USA,pregnant,174,15174,0.011466983,8,422,422,female stereotypes
7917,44260,2019,USA,pregnant,158,14453,0.010931986,8,422,422,female stereotypes
7918,44261,2020,USA,pregnant,180,13040,0.013803681000000002,8,422,422,female stereotypes
7919,44262,2021,USA,pregnant,119,7747,0.015360785,8,422,422,female stereotypes
7920,44285,2010,USA,rape,10,1912,0.005230126,4,424,424,crime and violence
7921,44286,2011,USA,rape,22,3274,0.0067196090000000005,4,424,424,crime and violence
7922,44287,2012,USA,rape,42,5474,0.007672634,4,424,424,crime and violence
7923,44288,2013,USA,rape,67,7160,0.009357542,4,424,424,crime and violence
7924,44289,2014,USA,rape,114,9566,0.011917207,4,424,424,crime and violence
7925,44290,2015,USA,rape,108,10779,0.010019482,4,424,424,crime and violence
7926,44291,2016,USA,rape,133,12290,0.010821806000000002,4,424,424,crime and violence
7927,44292,2017,USA,rape,173,12771,0.013546316,4,424,424,crime and violence
7928,44293,2018,USA,rape,175,15174,0.011532885,4,424,424,crime and violence
7929,44294,2019,USA,rape,139,14453,0.00961738,4,424,424,crime and violence
7930,44295,2020,USA,rape,128,13040,0.009815951,4,424,424,crime and violence
7931,44296,2021,USA,rape,65,7747,0.008390345,4,424,424,crime and violence
7932,44489,2010,USA,threaten,6,1912,0.003138075,8,439,439,crime and violence
7933,44490,2011,USA,threaten,5,3274,0.001527184,8,439,439,crime and violence
7934,44491,2012,USA,threaten,9,5474,0.001644136,8,439,439,crime and violence
7935,44492,2013,USA,threaten,12,7160,0.0016759779999999998,8,439,439,crime and violence
7936,44493,2014,USA,threaten,17,9566,0.001777127,8,439,439,crime and violence
7937,44494,2015,USA,threaten,14,10779,0.001298822,8,439,439,crime and violence
7938,44495,2016,USA,threaten,27,12290,0.002196908,8,439,439,crime and violence
7939,44496,2017,USA,threaten,35,12771,0.0027405840000000003,8,439,439,crime and violence
7940,44497,2018,USA,threaten,38,15174,0.002504284,8,439,439,crime and violence
7941,44498,2019,USA,threaten,53,14453,0.003667059,8,439,439,crime and violence
7942,44499,2020,USA,threaten,52,13040,0.00398773,8,439,439,crime and violence
7943,44500,2021,USA,threaten,36,7747,0.00464696,8,439,439,crime and violence
7956,44540,2010,USA,girlfriend,4,1912,0.00209205,10,442,442,female stereotypes
7957,44541,2011,USA,girlfriend,20,3274,0.006108735,10,442,442,female stereotypes
7958,44542,2012,USA,girlfriend,21,5474,0.003836317,10,442,442,female stereotypes
7959,44543,2013,USA,girlfriend,36,7160,0.005027933,10,442,442,female stereotypes
7960,44544,2014,USA,girlfriend,40,9566,0.004181476,10,442,442,female stereotypes
7961,44545,2015,USA,girlfriend,48,10779,0.004453103,10,442,442,female stereotypes
7962,44546,2016,USA,girlfriend,47,12290,0.003824247,10,442,442,female stereotypes
7963,44547,2017,USA,girlfriend,42,12771,0.003288701,10,442,442,female stereotypes
7964,44548,2018,USA,girlfriend,42,15174,0.002767892,10,442,442,female stereotypes
7965,44549,2019,USA,girlfriend,49,14453,0.0033903,10,442,442,female stereotypes
7966,44550,2020,USA,girlfriend,34,13040,0.002607362,10,442,442,female stereotypes
7967,44551,2021,USA,girlfriend,24,7747,0.003097973,10,442,442,female stereotypes
7992,44829,2010,USA,trial,3,1912,0.0015690379999999998,5,465,466,crime and violence
7993,44830,2011,USA,trial,18,3274,0.005497861999999999,5,465,466,crime and violence
7994,44831,2012,USA,trial,21,5474,0.003836317,5,465,466,crime and violence
7995,44832,2013,USA,trial,31,7160,0.004329609,5,465,466,crime and violence
7996,44833,2014,USA,trial,34,9566,0.003554255,5,465,466,crime and violence
7997,44834,2015,USA,trial,28,10779,0.002597644,5,465,466,crime and violence
7998,44835,2016,USA,trial,30,12290,0.002441009,5,465,466,crime and violence
7999,44836,2017,USA,trial,32,12771,0.002505677,5,465,466,crime and violence
8000,44837,2018,USA,trial,26,15174,0.001713457,5,465,466,crime and violence
8001,44838,2019,USA,trial,37,14453,0.002560022,5,465,466,crime and violence
8002,44839,2020,USA,trial,19,13040,0.001457055,5,465,466,crime and violence
8003,44840,2021,USA,trial,17,7747,0.002194398,5,465,466,crime and violence
8004,44863,2010,USA,gender,7,1912,0.003661088,6,468,468,"race, ethnicity and identity"
8005,44864,2011,USA,gender,5,3274,0.001527184,6,468,468,"race, ethnicity and identity"
8006,44865,2012,USA,gender,13,5474,0.002374863,6,468,468,"race, ethnicity and identity"
8007,44866,2013,USA,gender,16,7160,0.0022346370000000003,6,468,468,"race, ethnicity and identity"
8008,44867,2014,USA,gender,41,9566,0.004286013,6,468,468,"race, ethnicity and identity"
8009,44868,2015,USA,gender,48,10779,0.004453103,6,468,468,"race, ethnicity and identity"
8010,44869,2016,USA,gender,69,12290,0.005614320999999999,6,468,468,"race, ethnicity and identity"
8011,44870,2017,USA,gender,62,12771,0.004854749,6,468,468,"race, ethnicity and identity"
8012,44871,2018,USA,gender,87,15174,0.005733490999999999,6,468,468,"race, ethnicity and identity"
8013,44872,2019,USA,gender,117,14453,0.008095205,6,468,468,"race, ethnicity and identity"
8014,44873,2020,USA,gender,76,13040,0.005828221,6,468,468,"race, ethnicity and identity"
8015,44874,2021,USA,gender,39,7747,0.005034207,6,468,468,"race, ethnicity and identity"
8016,44897,2010,USA,march,2,1912,0.001046025,5,470,470,empowerment
8017,44898,2011,USA,march,3,3274,0.00091631,5,470,470,empowerment
8018,44899,2012,USA,march,1,5474,0.000182682,5,470,470,empowerment
8019,44900,2013,USA,march,0,7160,0.0,5,470,470,empowerment
8020,44901,2014,USA,march,3,9566,0.000313611,5,470,470,empowerment
8021,44902,2015,USA,march,7,10779,0.000649411,5,470,470,empowerment
8022,44903,2016,USA,march,8,12290,0.000650936,5,470,470,empowerment
8023,44904,2017,USA,march,87,12771,0.006812309,5,470,470,empowerment
8024,44905,2018,USA,march,47,15174,0.003097403,5,470,470,empowerment
8025,44906,2019,USA,march,51,14453,0.0035286790000000007,5,470,470,empowerment
8026,44907,2020,USA,march,29,13040,0.002223926,5,470,470,empowerment
8027,44908,2021,USA,march,11,7747,0.001419904,5,470,470,empowerment
8040,45135,2010,USA,inspire,6,1912,0.003138075,7,485,485,empowerment
8041,45136,2011,USA,inspire,14,3274,0.004276115,7,485,485,empowerment
8042,45137,2012,USA,inspire,12,5474,0.002192181,7,485,485,empowerment
8043,45138,2013,USA,inspire,21,7160,0.002932961,7,485,485,empowerment
8044,45139,2014,USA,inspire,31,9566,0.0032406440000000004,7,485,485,empowerment
8045,45140,2015,USA,inspire,37,10779,0.0034326,7,485,485,empowerment
8046,45141,2016,USA,inspire,59,12290,0.004800651,7,485,485,empowerment
8047,45142,2017,USA,inspire,64,12771,0.005011354,7,485,485,empowerment
8048,45143,2018,USA,inspire,56,15174,0.003690523,7,485,485,empowerment
8049,45144,2019,USA,inspire,54,14453,0.003736249,7,485,485,empowerment
8050,45145,2020,USA,inspire,55,13040,0.004217790999999999,7,485,485,empowerment
8051,45146,2021,USA,inspire,31,7747,0.004001549,7,485,485,empowerment
8064,45288,2010,USA,survivor,3,1912,0.0015690379999999998,8,494,494,empowerment
8065,45289,2011,USA,survivor,8,3274,0.002443494,8,494,494,empowerment
8066,45290,2012,USA,survivor,15,5474,0.002740227,8,494,494,empowerment
8067,45291,2013,USA,survivor,5,7160,0.000698324,8,494,494,empowerment
8068,45292,2014,USA,survivor,13,9566,0.00135898,8,494,494,empowerment
8069,45293,2015,USA,survivor,23,10779,0.002133779,8,494,494,empowerment
8070,45294,2016,USA,survivor,26,12290,0.002115541,8,494,494,empowerment
8071,45295,2017,USA,survivor,27,12771,0.002114165,8,494,494,empowerment
8072,45296,2018,USA,survivor,31,15174,0.002042968,8,494,494,empowerment
8073,45297,2019,USA,survivor,30,14453,0.002075694,8,494,494,empowerment
8074,45298,2020,USA,survivor,24,13040,0.001840491,8,494,494,empowerment
8075,45299,2021,USA,survivor,15,7747,0.001936233,8,494,494,empowerment
8088,45543,2010,USA,relationship,5,1912,0.002615063,12,510,510,female stereotypes
8089,45544,2011,USA,relationship,6,3274,0.001832621,12,510,510,female stereotypes
8090,45545,2012,USA,relationship,14,5474,0.002557545,12,510,510,female stereotypes
8091,45546,2013,USA,relationship,11,7160,0.001536313,12,510,510,female stereotypes
8092,45547,2014,USA,relationship,28,9566,0.002927033,12,510,510,female stereotypes
8093,45548,2015,USA,relationship,41,10779,0.003803692,12,510,510,female stereotypes
8094,45549,2016,USA,relationship,40,12290,0.0032546790000000003,12,510,510,female stereotypes
8095,45550,2017,USA,relationship,37,12771,0.002897189,12,510,510,female stereotypes
8096,45551,2018,USA,relationship,47,15174,0.003097403,12,510,510,female stereotypes
8097,45552,2019,USA,relationship,42,14453,0.002905971,12,510,510,female stereotypes
8098,45553,2020,USA,relationship,45,13040,0.00345092,12,510,510,female stereotypes
8099,45554,2021,USA,relationship,24,7747,0.003097973,12,510,510,female stereotypes
8100,45560,2010,USA,abuse,8,1912,0.0041841000000000005,5,511,511,crime and violence
8101,45561,2011,USA,abuse,13,3274,0.003970678,5,511,511,crime and violence
8102,45562,2012,USA,abuse,26,5474,0.004749726,5,511,511,crime and violence
8103,45563,2013,USA,abuse,28,7160,0.003910615,5,511,511,crime and violence
8104,45564,2014,USA,abuse,53,9566,0.005540456,5,511,511,crime and violence
8105,45565,2015,USA,abuse,56,10779,0.005195287,5,511,511,crime and violence
8106,45566,2016,USA,abuse,54,12290,0.004393816,5,511,511,crime and violence
8107,45567,2017,USA,abuse,96,12771,0.007517030999999999,5,511,511,crime and violence
8108,45568,2018,USA,abuse,129,15174,0.008501384,5,511,511,crime and violence
8109,45569,2019,USA,abuse,120,14453,0.008302775,5,511,511,crime and violence
8110,45570,2020,USA,abuse,97,13040,0.00743865,5,511,511,crime and violence
8111,45571,2021,USA,abuse,38,7747,0.004905125,5,511,511,crime and violence
8112,45594,2010,USA,investigate,4,1912,0.00209205,11,513,513,crime and violence
8113,45595,2011,USA,investigate,1,3274,0.000305437,11,513,513,crime and violence
8114,45596,2012,USA,investigate,3,5474,0.000548045,11,513,513,crime and violence
8115,45597,2013,USA,investigate,5,7160,0.000698324,11,513,513,crime and violence
8116,45598,2014,USA,investigate,15,9566,0.001568054,11,513,513,crime and violence
8117,45599,2015,USA,investigate,15,10779,0.001391595,11,513,513,crime and violence
8118,45600,2016,USA,investigate,19,12290,0.001545972,11,513,513,crime and violence
8119,45601,2017,USA,investigate,21,12771,0.00164435,11,513,513,crime and violence
8120,45602,2018,USA,investigate,19,15174,0.001252142,11,513,513,crime and violence
8121,45603,2019,USA,investigate,27,14453,0.001868124,11,513,513,crime and violence
8122,45604,2020,USA,investigate,26,13040,0.001993865,11,513,513,crime and violence
8123,45605,2021,USA,investigate,19,7747,0.002452562,11,513,513,crime and violence
8124,45645,2010,USA,power,7,1912,0.003661088,5,518,518,empowerment
8125,45646,2011,USA,power,8,3274,0.002443494,5,518,518,empowerment
8126,45647,2012,USA,power,23,5474,0.004201681,5,518,518,empowerment
8127,45648,2013,USA,power,28,7160,0.003910615,5,518,518,empowerment
8128,45649,2014,USA,power,41,9566,0.004286013,5,518,518,empowerment
8129,45650,2015,USA,power,53,10779,0.004916968,5,518,518,empowerment
8130,45651,2016,USA,power,53,12290,0.004312449,5,518,518,empowerment
8131,45652,2017,USA,power,69,12771,0.005402866,5,518,518,empowerment
8132,45653,2018,USA,power,112,15174,0.007381047,5,518,518,empowerment
8133,45654,2019,USA,power,86,14453,0.005950321999999999,5,518,518,empowerment
8134,45655,2020,USA,power,87,13040,0.006671779,5,518,518,empowerment
8135,45656,2021,USA,power,32,7747,0.004130631,5,518,518,empowerment
8148,45730,2010,USA,shame,2,1912,0.001046025,5,524,524,female stereotypes
8149,45731,2011,USA,shame,1,3274,0.000305437,5,524,524,female stereotypes
8150,45732,2012,USA,shame,2,5474,0.000365364,5,524,524,female stereotypes
8151,45733,2013,USA,shame,5,7160,0.000698324,5,524,524,female stereotypes
8152,45734,2014,USA,shame,13,9566,0.00135898,5,524,524,female stereotypes
8153,45735,2015,USA,shame,24,10779,0.002226552,5,524,524,female stereotypes
8154,45736,2016,USA,shame,28,12290,0.002278275,5,524,524,female stereotypes
8155,45737,2017,USA,shame,34,12771,0.002662282,5,524,524,female stereotypes
8156,45738,2018,USA,shame,35,15174,0.002306577,5,524,524,female stereotypes
8157,45739,2019,USA,shame,21,14453,0.001452986,5,524,524,female stereotypes
8158,45740,2020,USA,shame,8,13040,0.000613497,5,524,524,female stereotypes
8159,45741,2021,USA,shame,9,7747,0.00116174,5,524,524,female stereotypes
8160,45849,2010,USA,boss,3,1912,0.0015690379999999998,4,531,531,empowerment
8161,45850,2011,USA,boss,3,3274,0.00091631,4,531,531,empowerment
8162,45851,2012,USA,boss,18,5474,0.003288272,4,531,531,empowerment
8163,45852,2013,USA,boss,12,7160,0.0016759779999999998,4,531,531,empowerment
8164,45853,2014,USA,boss,16,9566,0.00167259,4,531,531,empowerment
8165,45854,2015,USA,boss,23,10779,0.002133779,4,531,531,empowerment
8166,45855,2016,USA,boss,25,12290,0.002034174,4,531,531,empowerment
8167,45856,2017,USA,boss,29,12771,0.00227077,4,531,531,empowerment
8168,45857,2018,USA,boss,36,15174,0.002372479,4,531,531,empowerment
8169,45858,2019,USA,boss,34,14453,0.002352453,4,531,531,empowerment
8170,45859,2020,USA,boss,19,13040,0.001457055,4,531,531,empowerment
8171,45860,2021,USA,boss,13,7747,0.001678069,4,531,531,empowerment
8196,46104,2010,USA,kidnap,4,1912,0.00209205,6,548,548,crime and violence
8197,46105,2011,USA,kidnap,11,3274,0.003359805,6,548,548,crime and violence
8198,46106,2012,USA,kidnap,9,5474,0.001644136,6,548,548,crime and violence
8199,46107,2013,USA,kidnap,27,7160,0.00377095,6,548,548,crime and violence
8200,46108,2014,USA,kidnap,28,9566,0.002927033,6,548,548,crime and violence
8201,46109,2015,USA,kidnap,23,10779,0.002133779,6,548,548,crime and violence
8202,46110,2016,USA,kidnap,30,12290,0.002441009,6,548,548,crime and violence
8203,46111,2017,USA,kidnap,26,12771,0.002035863,6,548,548,crime and violence
8204,46112,2018,USA,kidnap,40,15174,0.002636088,6,548,548,crime and violence
8205,46113,2019,USA,kidnap,41,14453,0.002836781,6,548,548,crime and violence
8206,46114,2020,USA,kidnap,34,13040,0.002607362,6,548,548,crime and violence
8207,46115,2021,USA,kidnap,16,7747,0.002065316,6,548,548,crime and violence
8208,46274,2010,USA,grope,2,1912,0.001046025,5,558,558,crime and violence
8209,46275,2011,USA,grope,1,3274,0.000305437,5,558,558,crime and violence
8210,46276,2012,USA,grope,9,5474,0.001644136,5,558,558,crime and violence
8211,46277,2013,USA,grope,2,7160,0.00027933,5,558,558,crime and violence
8212,46278,2014,USA,grope,9,9566,0.000940832,5,558,558,crime and violence
8213,46279,2015,USA,grope,5,10779,0.000463865,5,558,558,crime and violence
8214,46280,2016,USA,grope,32,12290,0.002603743,5,558,558,crime and violence
8215,46281,2017,USA,grope,61,12771,0.0047764470000000005,5,558,558,crime and violence
8216,46282,2018,USA,grope,34,15174,0.002240675,5,558,558,crime and violence
8217,46283,2019,USA,grope,35,14453,0.002421643,5,558,558,crime and violence
8218,46284,2020,USA,grope,9,13040,0.0006901839999999999,5,558,558,crime and violence
8219,46285,2021,USA,grope,8,7747,0.001032658,5,558,558,crime and violence
8244,46427,2010,USA,mom,40,1912,0.020920502,3,571,571,female stereotypes
8245,46428,2011,USA,mom,81,3274,0.024740379,3,571,571,female stereotypes
8246,46429,2012,USA,mom,133,5474,0.024296675,3,571,571,female stereotypes
8247,46430,2013,USA,mom,145,7160,0.020251397,3,571,571,female stereotypes
8248,46431,2014,USA,mom,201,9566,0.021011917,3,571,571,female stereotypes
8249,46432,2015,USA,mom,256,10779,0.023749884,3,571,571,female stereotypes
8250,46433,2016,USA,mom,296,12290,0.024084622000000003,3,571,571,female stereotypes
8251,46434,2017,USA,mom,354,12771,0.027719051,3,571,571,female stereotypes
8252,46435,2018,USA,mom,363,15174,0.023922499,3,571,571,female stereotypes
8253,46436,2019,USA,mom,330,14453,0.02283263,3,571,571,female stereotypes
8254,46437,2020,USA,mom,325,13040,0.024923313,3,571,571,female stereotypes
8255,46438,2021,USA,mom,157,7747,0.020265909,3,571,571,female stereotypes
8256,46444,2010,USA,award,9,1912,0.004707113,5,572,572,empowerment
8257,46445,2011,USA,award,35,3274,0.010690287,5,572,572,empowerment
8258,46446,2012,USA,award,24,5474,0.004384362,5,572,572,empowerment
8259,46447,2013,USA,award,40,7160,0.005586592,5,572,572,empowerment
8260,46448,2014,USA,award,37,9566,0.003867865,5,572,572,empowerment
8261,46449,2015,USA,award,71,10779,0.006586882,5,572,572,empowerment
8262,46450,2016,USA,award,79,12290,0.00642799,5,572,572,empowerment
8263,46451,2017,USA,award,72,12771,0.005637773,5,572,572,empowerment
8264,46452,2018,USA,award,84,15174,0.005535785,5,572,572,empowerment
8265,46453,2019,USA,award,120,14453,0.008302775,5,572,572,empowerment
8266,46454,2020,USA,award,77,13040,0.005904908,5,572,572,empowerment
8267,46455,2021,USA,award,35,7747,0.004517878,5,572,572,empowerment
8268,46529,2010,USA,marry,6,1912,0.003138075,5,577,577,female stereotypes
8269,46530,2011,USA,marry,22,3274,0.0067196090000000005,5,577,577,female stereotypes
8270,46531,2012,USA,marry,30,5474,0.005480453000000001,5,577,577,female stereotypes
8271,46532,2013,USA,marry,40,7160,0.005586592,5,577,577,female stereotypes
8272,46533,2014,USA,marry,51,9566,0.005331382,5,577,577,female stereotypes
8273,46534,2015,USA,marry,47,10779,0.00436033,5,577,577,female stereotypes
8274,46535,2016,USA,marry,36,12290,0.002929211,5,577,577,female stereotypes
8275,46536,2017,USA,marry,42,12771,0.003288701,5,577,577,female stereotypes
8276,46537,2018,USA,marry,67,15174,0.004415447,5,577,577,female stereotypes
8277,46538,2019,USA,marry,52,14453,0.003597869,5,577,577,female stereotypes
8278,46539,2020,USA,marry,20,13040,0.001533742,5,577,577,female stereotypes
8279,46540,2021,USA,marry,23,7747,0.002968891,5,577,577,female stereotypes
8304,46818,2010,USA,fear,8,1912,0.0041841000000000005,4,595,595,female stereotypes
8305,46819,2011,USA,fear,9,3274,0.002748931,4,595,595,female stereotypes
8306,46820,2012,USA,fear,16,5474,0.002922908,4,595,595,female stereotypes
8307,46821,2013,USA,fear,16,7160,0.0022346370000000003,4,595,595,female stereotypes
8308,46822,2014,USA,fear,15,9566,0.001568054,4,595,595,female stereotypes
8309,46823,2015,USA,fear,32,10779,0.002968736,4,595,595,female stereotypes
8310,46824,2016,USA,fear,36,12290,0.002929211,4,595,595,female stereotypes
8311,46825,2017,USA,fear,29,12771,0.00227077,4,595,595,female stereotypes
8312,46826,2018,USA,fear,40,15174,0.002636088,4,595,595,female stereotypes
8313,46827,2019,USA,fear,46,14453,0.00318273,4,595,595,female stereotypes
8314,46828,2020,USA,fear,49,13040,0.003757669,4,595,595,female stereotypes
8315,46829,2021,USA,fear,28,7747,0.003614302,4,595,595,female stereotypes
8340,46954,2010,USA,pretty,2,1912,0.001046025,6,603,603,female stereotypes
8341,46955,2011,USA,pretty,8,3274,0.002443494,6,603,603,female stereotypes
8342,46956,2012,USA,pretty,21,5474,0.003836317,6,603,603,female stereotypes
8343,46957,2013,USA,pretty,21,7160,0.002932961,6,603,603,female stereotypes
8344,46958,2014,USA,pretty,27,9566,0.002822496,6,603,603,female stereotypes
8345,46959,2015,USA,pretty,45,10779,0.004174784,6,603,603,female stereotypes
8346,46960,2016,USA,pretty,24,12290,0.001952807,6,603,603,female stereotypes
8347,46961,2017,USA,pretty,32,12771,0.002505677,6,603,603,female stereotypes
8348,46962,2018,USA,pretty,53,15174,0.003492817,6,603,603,female stereotypes
8349,46963,2019,USA,pretty,21,14453,0.001452986,6,603,603,female stereotypes
8350,46964,2020,USA,pretty,13,13040,0.000996933,6,603,603,female stereotypes
8351,46965,2021,USA,pretty,7,7747,0.000903576,6,603,603,female stereotypes
8352,46971,2010,USA,doctor,7,1912,0.003661088,6,604,604,empowerment
8353,46972,2011,USA,doctor,9,3274,0.002748931,6,604,604,empowerment
8354,46973,2012,USA,doctor,24,5474,0.004384362,6,604,604,empowerment
8355,46974,2013,USA,doctor,28,7160,0.003910615,6,604,604,empowerment
8356,46975,2014,USA,doctor,31,9566,0.0032406440000000004,6,604,604,empowerment
8357,46976,2015,USA,doctor,35,10779,0.003247054,6,604,604,empowerment
8358,46977,2016,USA,doctor,66,12290,0.00537022,6,604,604,empowerment
8359,46978,2017,USA,doctor,92,12771,0.007203821,6,604,604,empowerment
8360,46979,2018,USA,doctor,96,15174,0.006326610999999999,6,604,604,empowerment
8361,46980,2019,USA,doctor,52,14453,0.003597869,6,604,604,empowerment
8362,46981,2020,USA,doctor,62,13040,0.004754601,6,604,604,empowerment
8363,46982,2021,USA,doctor,24,7747,0.003097973,6,604,604,empowerment
8364,46988,2010,USA,murder,30,1912,0.015690377,6,605,605,crime and violence
8365,46989,2011,USA,murder,34,3274,0.01038485,6,605,605,crime and violence
8366,46990,2012,USA,murder,68,5474,0.01242236,6,605,605,crime and violence
8367,46991,2013,USA,murder,93,7160,0.012988827,6,605,605,crime and violence
8368,46992,2014,USA,murder,180,9566,0.018816642,6,605,605,crime and violence
8369,46993,2015,USA,murder,137,10779,0.012709898999999998,6,605,605,crime and violence
8370,46994,2016,USA,murder,178,12290,0.01448332,6,605,605,crime and violence
8371,46995,2017,USA,murder,181,12771,0.014172735,6,605,605,crime and violence
8372,46996,2018,USA,murder,210,15174,0.013839462,6,605,605,crime and violence
8373,46997,2019,USA,murder,256,14453,0.017712586000000002,6,605,605,crime and violence
8374,46998,2020,USA,murder,180,13040,0.013803681000000002,6,605,605,crime and violence
8375,46999,2021,USA,murder,102,7747,0.013166387,6,605,605,crime and violence
8376,47005,2010,USA,author,5,1912,0.002615063,6,606,606,empowerment
8377,47006,2011,USA,author,4,3274,0.001221747,6,606,606,empowerment
8378,47007,2012,USA,author,14,5474,0.002557545,6,606,606,empowerment
8379,47008,2013,USA,author,37,7160,0.005167598,6,606,606,empowerment
8380,47009,2014,USA,author,23,9566,0.002404349,6,606,606,empowerment
8381,47010,2015,USA,author,29,10779,0.002690417,6,606,606,empowerment
8382,47011,2016,USA,author,22,12290,0.001790073,6,606,606,empowerment
8383,47012,2017,USA,author,33,12771,0.002583979,6,606,606,empowerment
8384,47013,2018,USA,author,21,15174,0.001383946,6,606,606,empowerment
8385,47014,2019,USA,author,38,14453,0.002629212,6,606,606,empowerment
8386,47015,2020,USA,author,37,13040,0.002837423,6,606,606,empowerment
8387,47016,2021,USA,author,17,7747,0.002194398,6,606,606,empowerment
8388,47022,2010,USA,victim,13,1912,0.006799163,6,607,607,female stereotypes
8389,47023,2011,USA,victim,19,3274,0.0058032990000000005,6,607,607,female stereotypes
8390,47024,2012,USA,victim,35,5474,0.006393861999999999,6,607,607,female stereotypes
8391,47025,2013,USA,victim,55,7160,0.007681564,6,607,607,female stereotypes
8392,47026,2014,USA,victim,51,9566,0.005331382,6,607,607,female stereotypes
8393,47027,2015,USA,victim,52,10779,0.004824195,6,607,607,female stereotypes
8394,47028,2016,USA,victim,69,12290,0.005614320999999999,6,607,607,female stereotypes
8395,47029,2017,USA,victim,93,12771,0.007282124,6,607,607,female stereotypes
8396,47030,2018,USA,victim,93,15174,0.006128905,6,607,607,female stereotypes
8397,47031,2019,USA,victim,113,14453,0.007818446,6,607,607,female stereotypes
8398,47032,2020,USA,victim,56,13040,0.004294479,6,607,607,female stereotypes
8399,47033,2021,USA,victim,44,7747,0.005679618000000001,6,607,607,female stereotypes
8412,47175,2010,USA,suicide,4,1912,0.00209205,7,616,616,crime and violence
8413,47176,2011,USA,suicide,12,3274,0.003665241,7,616,616,crime and violence
8414,47177,2012,USA,suicide,23,5474,0.004201681,7,616,616,crime and violence
8415,47178,2013,USA,suicide,41,7160,0.005726256999999999,7,616,616,crime and violence
8416,47179,2014,USA,suicide,39,9566,0.004076939,7,616,616,crime and violence
8417,47180,2015,USA,suicide,44,10779,0.004082011,7,616,616,crime and violence
8418,47181,2016,USA,suicide,38,12290,0.003091945,7,616,616,crime and violence
8419,47182,2017,USA,suicide,46,12771,0.003601911,7,616,616,crime and violence
8420,47183,2018,USA,suicide,60,15174,0.003954132,7,616,616,crime and violence
8421,47184,2019,USA,suicide,62,14453,0.004289767,7,616,616,crime and violence
8422,47185,2020,USA,suicide,32,13040,0.002453988,7,616,616,crime and violence
8423,47186,2021,USA,suicide,13,7747,0.001678069,7,616,616,crime and violence
8424,47277,2010,USA,divorce,7,1912,0.003661088,7,622,622,female stereotypes
8425,47278,2011,USA,divorce,13,3274,0.003970678,7,622,622,female stereotypes
8426,47279,2012,USA,divorce,15,5474,0.002740227,7,622,622,female stereotypes
8427,47280,2013,USA,divorce,19,7160,0.002653631,7,622,622,female stereotypes
8428,47281,2014,USA,divorce,22,9566,0.002299812,7,622,622,female stereotypes
8429,47282,2015,USA,divorce,25,10779,0.002319325,7,622,622,female stereotypes
8430,47283,2016,USA,divorce,23,12290,0.00187144,7,622,622,female stereotypes
8431,47284,2017,USA,divorce,20,12771,0.0015660479999999998,7,622,622,female stereotypes
8432,47285,2018,USA,divorce,40,15174,0.002636088,7,622,622,female stereotypes
8433,47286,2019,USA,divorce,33,14453,0.002283263,7,622,622,female stereotypes
8434,47287,2020,USA,divorce,32,13040,0.002453988,7,622,622,female stereotypes
8435,47288,2021,USA,divorce,22,7747,0.0028398090000000004,7,622,622,female stereotypes
8448,47345,2010,USA,guilty,8,1912,0.0041841000000000005,6,626,626,crime and violence
8449,47346,2011,USA,guilty,7,3274,0.002138057,6,626,626,crime and violence
8450,47347,2012,USA,guilty,25,5474,0.004567044,6,626,626,crime and violence
8451,47348,2013,USA,guilty,26,7160,0.003631285,6,626,626,crime and violence
8452,47349,2014,USA,guilty,43,9566,0.004495087,6,626,626,crime and violence
8453,47350,2015,USA,guilty,52,10779,0.004824195,6,626,626,crime and violence
8454,47351,2016,USA,guilty,57,12290,0.004637917,6,626,626,crime and violence
8455,47352,2017,USA,guilty,64,12771,0.005011354,6,626,626,crime and violence
8456,47353,2018,USA,guilty,63,15174,0.004151839,6,626,626,crime and violence
8457,47354,2019,USA,guilty,58,14453,0.004013008,6,626,626,crime and violence
8458,47355,2020,USA,guilty,28,13040,0.002147239,6,626,626,crime and violence
8459,47356,2021,USA,guilty,24,7747,0.003097973,6,626,626,crime and violence
8460,47413,2010,USA,blood,4,1912,0.00209205,5,630,630,crime and violence
8461,47414,2011,USA,blood,7,3274,0.002138057,5,630,630,crime and violence
8462,47415,2012,USA,blood,9,5474,0.001644136,5,630,630,crime and violence
8463,47416,2013,USA,blood,6,7160,0.0008379889999999999,5,630,630,crime and violence
8464,47417,2014,USA,blood,7,9566,0.000731758,5,630,630,crime and violence
8465,47418,2015,USA,blood,19,10779,0.0017626870000000004,5,630,630,crime and violence
8466,47419,2016,USA,blood,13,12290,0.001057771,5,630,630,crime and violence
8467,47420,2017,USA,blood,12,12771,0.000939629,5,630,630,crime and violence
8468,47421,2018,USA,blood,14,15174,0.000922631,5,630,630,crime and violence
8469,47422,2019,USA,blood,15,14453,0.001037847,5,630,630,crime and violence
8470,47423,2020,USA,blood,13,13040,0.000996933,5,630,630,crime and violence
8471,47424,2021,USA,blood,12,7747,0.0015489870000000002,5,630,630,crime and violence
8472,47549,2010,USA,hijab,1,1912,0.000523013,5,639,639,"race, ethnicity and identity"
8473,47550,2011,USA,hijab,1,3274,0.000305437,5,639,639,"race, ethnicity and identity"
8474,47551,2012,USA,hijab,1,5474,0.000182682,5,639,639,"race, ethnicity and identity"
8475,47552,2013,USA,hijab,0,7160,0.0,5,639,639,"race, ethnicity and identity"
8476,47553,2014,USA,hijab,2,9566,0.000209074,5,639,639,"race, ethnicity and identity"
8477,47554,2015,USA,hijab,5,10779,0.000463865,5,639,639,"race, ethnicity and identity"
8478,47555,2016,USA,hijab,28,12290,0.002278275,5,639,639,"race, ethnicity and identity"
8479,47556,2017,USA,hijab,21,12771,0.00164435,5,639,639,"race, ethnicity and identity"
8480,47557,2018,USA,hijab,15,15174,0.000988533,5,639,639,"race, ethnicity and identity"
8481,47558,2019,USA,hijab,12,14453,0.0008302769999999999,5,639,639,"race, ethnicity and identity"
8482,47559,2020,USA,hijab,6,13040,0.0004601230000000001,5,639,639,"race, ethnicity and identity"
8483,47560,2021,USA,hijab,3,7747,0.000387247,5,639,639,"race, ethnicity and identity"
8508,47889,2010,USA,famous,3,1912,0.0015690379999999998,6,662,662,empowerment
8509,47890,2011,USA,famous,6,3274,0.001832621,6,662,662,empowerment
8510,47891,2012,USA,famous,7,5474,0.001278772,6,662,662,empowerment
8511,47892,2013,USA,famous,12,7160,0.0016759779999999998,6,662,662,empowerment
8512,47893,2014,USA,famous,20,9566,0.002090738,6,662,662,empowerment
8513,47894,2015,USA,famous,31,10779,0.002875963,6,662,662,empowerment
8514,47895,2016,USA,famous,26,12290,0.002115541,6,662,662,empowerment
8515,47896,2017,USA,famous,27,12771,0.002114165,6,662,662,empowerment
8516,47897,2018,USA,famous,32,15174,0.00210887,6,662,662,empowerment
8517,47898,2019,USA,famous,17,14453,0.001176226,6,662,662,empowerment
8518,47899,2020,USA,famous,21,13040,0.001610429,6,662,662,empowerment
8519,47900,2021,USA,famous,8,7747,0.001032658,6,662,662,empowerment
8520,48008,2010,USA,dream,8,1912,0.0041841000000000005,5,669,669,empowerment
8521,48009,2011,USA,dream,9,3274,0.002748931,5,669,669,empowerment
8522,48010,2012,USA,dream,28,5474,0.00511509,5,669,669,empowerment
8523,48011,2013,USA,dream,20,7160,0.002793296,5,669,669,empowerment
8524,48012,2014,USA,dream,32,9566,0.003345181,5,669,669,empowerment
8525,48013,2015,USA,dream,35,10779,0.003247054,5,669,669,empowerment
8526,48014,2016,USA,dream,38,12290,0.003091945,5,669,669,empowerment
8527,48015,2017,USA,dream,36,12771,0.002818887,5,669,669,empowerment
8528,48016,2018,USA,dream,46,15174,0.003031501,5,669,669,empowerment
8529,48017,2019,USA,dream,36,14453,0.002490832,5,669,669,empowerment
8530,48018,2020,USA,dream,40,13040,0.003067485,5,669,669,empowerment
8531,48019,2021,USA,dream,20,7747,0.002581645,5,669,669,empowerment
8532,48127,2010,USA,makeup,2,1912,0.001046025,6,677,677,female stereotypes
8533,48128,2011,USA,makeup,6,3274,0.001832621,6,677,677,female stereotypes
8534,48129,2012,USA,makeup,12,5474,0.002192181,6,677,677,female stereotypes
8535,48130,2013,USA,makeup,17,7160,0.002374302,6,677,677,female stereotypes
8536,48131,2014,USA,makeup,23,9566,0.002404349,6,677,677,female stereotypes
8537,48132,2015,USA,makeup,28,10779,0.002597644,6,677,677,female stereotypes
8538,48133,2016,USA,makeup,28,12290,0.002278275,6,677,677,female stereotypes
8539,48134,2017,USA,makeup,32,12771,0.002505677,6,677,677,female stereotypes
8540,48135,2018,USA,makeup,32,15174,0.00210887,6,677,677,female stereotypes
8541,48136,2019,USA,makeup,30,14453,0.002075694,6,677,677,female stereotypes
8542,48137,2020,USA,makeup,21,13040,0.001610429,6,677,677,female stereotypes
8543,48138,2021,USA,makeup,5,7747,0.000645411,6,677,677,female stereotypes
8544,48195,2010,USA,wife,26,1912,0.013598326,4,681,681,female stereotypes
8545,48196,2011,USA,wife,55,3274,0.016799023,4,681,681,female stereotypes
8546,48197,2012,USA,wife,68,5474,0.01242236,4,681,681,female stereotypes
8547,48198,2013,USA,wife,80,7160,0.011173184,4,681,681,female stereotypes
8548,48199,2014,USA,wife,100,9566,0.01045369,4,681,681,female stereotypes
8549,48200,2015,USA,wife,114,10779,0.01057612,4,681,681,female stereotypes
8550,48201,2016,USA,wife,89,12290,0.00724166,4,681,681,female stereotypes
8551,48202,2017,USA,wife,113,12771,0.008848172,4,681,681,female stereotypes
8552,48203,2018,USA,wife,92,15174,0.006063003000000001,4,681,681,female stereotypes
8553,48204,2019,USA,wife,115,14453,0.007956826,4,681,681,female stereotypes
8554,48205,2020,USA,wife,103,13040,0.007898773000000001,4,681,681,female stereotypes
8555,48206,2021,USA,wife,64,7747,0.008261262,4,681,681,female stereotypes
8568,48484,2010,USA,beauty,9,1912,0.004707113,6,698,698,female stereotypes
8569,48485,2011,USA,beauty,12,3274,0.003665241,6,698,698,female stereotypes
8570,48486,2012,USA,beauty,11,5474,0.002009499,6,698,698,female stereotypes
8571,48487,2013,USA,beauty,18,7160,0.002513966,6,698,698,female stereotypes
8572,48488,2014,USA,beauty,40,9566,0.004181476,6,698,698,female stereotypes
8573,48489,2015,USA,beauty,36,10779,0.003339827,6,698,698,female stereotypes
8574,48490,2016,USA,beauty,30,12290,0.002441009,6,698,698,female stereotypes
8575,48491,2017,USA,beauty,47,12771,0.003680213,6,698,698,female stereotypes
8576,48492,2018,USA,beauty,47,15174,0.003097403,6,698,698,female stereotypes
8577,48493,2019,USA,beauty,49,14453,0.0033903,6,698,698,female stereotypes
8578,48494,2020,USA,beauty,30,13040,0.002300613,6,698,698,female stereotypes
8579,48495,2021,USA,beauty,20,7747,0.002581645,6,698,698,female stereotypes
8592,48637,2010,USA,kiss,10,1912,0.005230126,4,707,707,female stereotypes
8593,48638,2011,USA,kiss,20,3274,0.006108735,4,707,707,female stereotypes
8594,48639,2012,USA,kiss,14,5474,0.002557545,4,707,707,female stereotypes
8595,48640,2013,USA,kiss,24,7160,0.003351955,4,707,707,female stereotypes
8596,48641,2014,USA,kiss,20,9566,0.002090738,4,707,707,female stereotypes
8597,48642,2015,USA,kiss,27,10779,0.002504871,4,707,707,female stereotypes
8598,48643,2016,USA,kiss,36,12290,0.002929211,4,707,707,female stereotypes
8599,48644,2017,USA,kiss,33,12771,0.002583979,4,707,707,female stereotypes
8600,48645,2018,USA,kiss,20,15174,0.001318044,4,707,707,female stereotypes
8601,48646,2019,USA,kiss,33,14453,0.002283263,4,707,707,female stereotypes
8602,48647,2020,USA,kiss,16,13040,0.001226994,4,707,707,female stereotypes
8603,48648,2021,USA,kiss,20,7747,0.002581645,4,707,707,female stereotypes
8616,48722,2010,USA,gay,4,1912,0.00209205,3,712,712,"race, ethnicity and identity"
8617,48723,2011,USA,gay,22,3274,0.0067196090000000005,3,712,712,"race, ethnicity and identity"
8618,48724,2012,USA,gay,23,5474,0.004201681,3,712,712,"race, ethnicity and identity"
8619,48725,2013,USA,gay,32,7160,0.0044692740000000005,3,712,712,"race, ethnicity and identity"
8620,48726,2014,USA,gay,32,9566,0.003345181,3,712,712,"race, ethnicity and identity"
8621,48727,2015,USA,gay,37,10779,0.0034326,3,712,712,"race, ethnicity and identity"
8622,48728,2016,USA,gay,18,12290,0.001464605,3,712,712,"race, ethnicity and identity"
8623,48729,2017,USA,gay,24,12771,0.001879258,3,712,712,"race, ethnicity and identity"
8624,48730,2018,USA,gay,21,15174,0.001383946,3,712,712,"race, ethnicity and identity"
8625,48731,2019,USA,gay,22,14453,0.001522175,3,712,712,"race, ethnicity and identity"
8626,48732,2020,USA,gay,19,13040,0.001457055,3,712,712,"race, ethnicity and identity"
8627,48733,2021,USA,gay,8,7747,0.001032658,3,712,712,"race, ethnicity and identity"
8628,48841,2010,USA,success,2,1912,0.001046025,7,719,719,empowerment
8629,48842,2011,USA,success,3,3274,0.00091631,7,719,719,empowerment
8630,48843,2012,USA,success,4,5474,0.0007307269999999999,7,719,719,empowerment
8631,48844,2013,USA,success,4,7160,0.000558659,7,719,719,empowerment
8632,48845,2014,USA,success,17,9566,0.001777127,7,719,719,empowerment
8633,48846,2015,USA,success,11,10779,0.001020503,7,719,719,empowerment
8634,48847,2016,USA,success,13,12290,0.001057771,7,719,719,empowerment
8635,48848,2017,USA,success,23,12771,0.001800955,7,719,719,empowerment
8636,48849,2018,USA,success,30,15174,0.001977066,7,719,719,empowerment
8637,48850,2019,USA,success,27,14453,0.001868124,7,719,719,empowerment
8638,48851,2020,USA,success,16,13040,0.001226994,7,719,719,empowerment
8639,48852,2021,USA,success,4,7747,0.000516329,7,719,719,empowerment
8640,48909,2010,USA,molest,1,1912,0.000523013,6,723,723,crime and violence
8641,48910,2011,USA,molest,3,3274,0.00091631,6,723,723,crime and violence
8642,48911,2012,USA,molest,8,5474,0.0014614539999999998,6,723,723,crime and violence
8643,48912,2013,USA,molest,3,7160,0.000418994,6,723,723,crime and violence
8644,48913,2014,USA,molest,17,9566,0.001777127,6,723,723,crime and violence
8645,48914,2015,USA,molest,3,10779,0.000278319,6,723,723,crime and violence
8646,48915,2016,USA,molest,10,12290,0.00081367,6,723,723,crime and violence
8647,48916,2017,USA,molest,17,12771,0.001331141,6,723,723,crime and violence
8648,48917,2018,USA,molest,15,15174,0.000988533,6,723,723,crime and violence
8649,48918,2019,USA,molest,10,14453,0.000691898,6,723,723,crime and violence
8650,48919,2020,USA,molest,2,13040,0.000153374,6,723,723,crime and violence
8651,48920,2021,USA,molest,2,7747,0.000258164,6,723,723,crime and violence
8652,48977,2010,USA,tribal,1,1912,0.000523013,6,727,727,"race, ethnicity and identity"
8653,48978,2011,USA,tribal,0,3274,0.0,6,727,727,"race, ethnicity and identity"
8654,48979,2012,USA,tribal,0,5474,0.0,6,727,727,"race, ethnicity and identity"
8655,48980,2013,USA,tribal,0,7160,0.0,6,727,727,"race, ethnicity and identity"
8656,48981,2014,USA,tribal,2,9566,0.000209074,6,727,727,"race, ethnicity and identity"
8657,48982,2015,USA,tribal,0,10779,0.0,6,727,727,"race, ethnicity and identity"
8658,48983,2016,USA,tribal,3,12290,0.000244101,6,727,727,"race, ethnicity and identity"
8659,48984,2017,USA,tribal,1,12771,7.829999999999999e-05,6,727,727,"race, ethnicity and identity"
8660,48985,2018,USA,tribal,1,15174,6.59e-05,6,727,727,"race, ethnicity and identity"
8661,48986,2019,USA,tribal,1,14453,6.92e-05,6,727,727,"race, ethnicity and identity"
8662,48987,2020,USA,tribal,1,13040,7.670000000000001e-05,6,727,727,"race, ethnicity and identity"
8663,48988,2021,USA,tribal,2,7747,0.000258164,6,727,727,"race, ethnicity and identity"
8664,49028,2010,USA,muslim,7,1912,0.003661088,6,730,730,"race, ethnicity and identity"
8665,49029,2011,USA,muslim,10,3274,0.003054368,6,730,730,"race, ethnicity and identity"
8666,49030,2012,USA,muslim,14,5474,0.002557545,6,730,730,"race, ethnicity and identity"
8667,49031,2013,USA,muslim,8,7160,0.001117318,6,730,730,"race, ethnicity and identity"
8668,49032,2014,USA,muslim,17,9566,0.001777127,6,730,730,"race, ethnicity and identity"
8669,49033,2015,USA,muslim,42,10779,0.003896465,6,730,730,"race, ethnicity and identity"
8670,49034,2016,USA,muslim,79,12290,0.00642799,6,730,730,"race, ethnicity and identity"
8671,49035,2017,USA,muslim,61,12771,0.0047764470000000005,6,730,730,"race, ethnicity and identity"
8672,49036,2018,USA,muslim,60,15174,0.003954132,6,730,730,"race, ethnicity and identity"
8673,49037,2019,USA,muslim,34,14453,0.002352453,6,730,730,"race, ethnicity and identity"
8674,49038,2020,USA,muslim,14,13040,0.00107362,6,730,730,"race, ethnicity and identity"
8675,49039,2021,USA,muslim,13,7747,0.001678069,6,730,730,"race, ethnicity and identity"
8676,49198,2010,USA,breast,5,1912,0.002615063,6,740,740,female stereotypes
8677,49199,2011,USA,breast,19,3274,0.0058032990000000005,6,740,740,female stereotypes
8678,49200,2012,USA,breast,16,5474,0.002922908,6,740,740,female stereotypes
8679,49201,2013,USA,breast,32,7160,0.0044692740000000005,6,740,740,female stereotypes
8680,49202,2014,USA,breast,30,9566,0.003136107,6,740,740,female stereotypes
8681,49203,2015,USA,breast,50,10779,0.004638649,6,740,740,female stereotypes
8682,49204,2016,USA,breast,32,12290,0.002603743,6,740,740,female stereotypes
8683,49205,2017,USA,breast,41,12771,0.003210399,6,740,740,female stereotypes
8684,49206,2018,USA,breast,31,15174,0.002042968,6,740,740,female stereotypes
8685,49207,2019,USA,breast,31,14453,0.002144883,6,740,740,female stereotypes
8686,49208,2020,USA,breast,21,13040,0.001610429,6,740,740,female stereotypes
8687,49209,2021,USA,breast,8,7747,0.001032658,6,740,740,female stereotypes
8688,49266,2010,USA,love,46,3824,0.012029289,4,744,744,female stereotypes
8689,49267,2011,USA,love,71,6548,0.010843005,4,744,744,female stereotypes
8690,49268,2012,USA,love,86,10948,0.007855316,4,744,744,female stereotypes
8691,49269,2013,USA,love,130,14320,0.009078212,4,744,744,female stereotypes
8692,49270,2014,USA,love,112,19132,0.005854066,4,744,744,female stereotypes
8693,49271,2015,USA,love,190,21558,0.008813434,4,744,744,female stereotypes
8694,49272,2016,USA,love,185,24580,0.007526444,4,744,744,female stereotypes
8695,49273,2017,USA,love,160,25542,0.006264191999999999,4,744,744,female stereotypes
8696,49274,2018,USA,love,183,30348,0.006030051,4,744,744,female stereotypes
8697,49275,2019,USA,love,173,28906,0.005984916999999999,4,744,744,female stereotypes
8698,49276,2020,USA,love,159,26080,0.006096626,4,744,744,female stereotypes
8699,49277,2021,USA,love,71,15494,0.004582419,4,744,744,female stereotypes
8700,49385,2010,USA,married,2,1912,0.001046025,7,751,751,female stereotypes
8701,49386,2011,USA,married,3,3274,0.00091631,7,751,751,female stereotypes
8702,49387,2012,USA,married,8,5474,0.0014614539999999998,7,751,751,female stereotypes
8703,49388,2013,USA,married,4,7160,0.000558659,7,751,751,female stereotypes
8704,49389,2014,USA,married,9,9566,0.000940832,7,751,751,female stereotypes
8705,49390,2015,USA,married,5,10779,0.000463865,7,751,751,female stereotypes
8706,49391,2016,USA,married,13,12290,0.001057771,7,751,751,female stereotypes
8707,49392,2017,USA,married,9,12771,0.000704722,7,751,751,female stereotypes
8708,49393,2018,USA,married,15,15174,0.000988533,7,751,751,female stereotypes
8709,49394,2019,USA,married,18,14453,0.001245416,7,751,751,female stereotypes
8710,49395,2020,USA,married,5,13040,0.000383436,7,751,751,female stereotypes
8711,49396,2021,USA,married,3,7747,0.000387247,7,751,751,female stereotypes
8712,49470,2010,USA,killer,11,1912,0.0057531380000000005,6,756,756,crime and violence
8713,49471,2011,USA,killer,16,3274,0.004886988,6,756,756,crime and violence
8714,49472,2012,USA,killer,22,5474,0.0040189990000000005,6,756,756,crime and violence
8715,49473,2013,USA,killer,38,7160,0.005307263,6,756,756,crime and violence
8716,49474,2014,USA,killer,45,9566,0.004704161,6,756,756,crime and violence
8717,49475,2015,USA,killer,39,10779,0.003618146,6,756,756,crime and violence
8718,49476,2016,USA,killer,54,12290,0.004393816,6,756,756,crime and violence
8719,49477,2017,USA,killer,37,12771,0.002897189,6,756,756,crime and violence
8720,49478,2018,USA,killer,68,15174,0.00448135,6,756,756,crime and violence
8721,49479,2019,USA,killer,52,14453,0.003597869,6,756,756,crime and violence
8722,49480,2020,USA,killer,21,13040,0.001610429,6,756,756,crime and violence
8723,49481,2021,USA,killer,16,7747,0.002065316,6,756,756,crime and violence
8724,49487,2010,USA,dress,18,1912,0.009414226,5,757,757,female stereotypes
8725,49488,2011,USA,dress,31,3274,0.00946854,5,757,757,female stereotypes
8726,49489,2012,USA,dress,50,5474,0.009134088,5,757,757,female stereotypes
8727,49490,2013,USA,dress,81,7160,0.011312849,5,757,757,female stereotypes
8728,49491,2014,USA,dress,75,9566,0.007840268000000001,5,757,757,female stereotypes
8729,49492,2015,USA,dress,76,10779,0.007050747,5,757,757,female stereotypes
8730,49493,2016,USA,dress,99,12290,0.00805533,5,757,757,female stereotypes
8731,49494,2017,USA,dress,93,12771,0.007282124,5,757,757,female stereotypes
8732,49495,2018,USA,dress,78,15174,0.005140372,5,757,757,female stereotypes
8733,49496,2019,USA,dress,64,14453,0.004428146,5,757,757,female stereotypes
8734,49497,2020,USA,dress,41,13040,0.003144172,5,757,757,female stereotypes
8735,49498,2021,USA,dress,26,7747,0.003356138,5,757,757,female stereotypes
8736,49521,2010,USA,single,15,1912,0.007845188000000001,6,759,759,female stereotypes
8737,49522,2011,USA,single,26,3274,0.007941356,6,759,759,female stereotypes
8738,49523,2012,USA,single,19,5474,0.003470954,6,759,759,female stereotypes
8739,49524,2013,USA,single,32,7160,0.0044692740000000005,6,759,759,female stereotypes
8740,49525,2014,USA,single,38,9566,0.003972402,6,759,759,female stereotypes
8741,49526,2015,USA,single,39,10779,0.003618146,6,759,759,female stereotypes
8742,49527,2016,USA,single,51,12290,0.004149715,6,759,759,female stereotypes
8743,49528,2017,USA,single,56,12771,0.004384935,6,759,759,female stereotypes
8744,49529,2018,USA,single,49,15174,0.003229208,6,759,759,female stereotypes
8745,49530,2019,USA,single,55,14453,0.003805438,6,759,759,female stereotypes
8746,49531,2020,USA,single,46,13040,0.0035276070000000007,6,759,759,female stereotypes
8747,49532,2021,USA,single,21,7747,0.002710727,6,759,759,female stereotypes
8748,49572,2010,USA,sex,31,1912,0.016213388999999998,3,762,762,female stereotypes
8749,49573,2011,USA,sex,42,3274,0.012828345,3,762,762,female stereotypes
8750,49574,2012,USA,sex,56,5474,0.010230179,3,762,762,female stereotypes
8751,49575,2013,USA,sex,98,7160,0.013687151000000002,3,762,762,female stereotypes
8752,49576,2014,USA,sex,136,9566,0.014217019,3,762,762,female stereotypes
8753,49577,2015,USA,sex,163,10779,0.015121996,3,762,762,female stereotypes
8754,49578,2016,USA,sex,133,12290,0.010821806000000002,3,762,762,female stereotypes
8755,49579,2017,USA,sex,171,12771,0.013389711,3,762,762,female stereotypes
8756,49580,2018,USA,sex,195,15174,0.012850929,3,762,762,female stereotypes
8757,49581,2019,USA,sex,177,14453,0.012246592,3,762,762,female stereotypes
8758,49582,2020,USA,sex,113,13040,0.008665644,3,762,762,female stereotypes
8759,49583,2021,USA,sex,43,7747,0.005550536,3,762,762,female stereotypes
8760,49589,2010,USA,beautiful,8,1912,0.0041841000000000005,9,763,763,female stereotypes
8761,49590,2011,USA,beautiful,7,3274,0.002138057,9,763,763,female stereotypes
8762,49591,2012,USA,beautiful,10,5474,0.001826818,9,763,763,female stereotypes
8763,49592,2013,USA,beautiful,33,7160,0.004608939,9,763,763,female stereotypes
8764,49593,2014,USA,beautiful,29,9566,0.00303157,9,763,763,female stereotypes
8765,49594,2015,USA,beautiful,43,10779,0.003989238,9,763,763,female stereotypes
8766,49595,2016,USA,beautiful,45,12290,0.003661513,9,763,763,female stereotypes
8767,49596,2017,USA,beautiful,37,12771,0.002897189,9,763,763,female stereotypes
8768,49597,2018,USA,beautiful,19,15174,0.001252142,9,763,763,female stereotypes
8769,49598,2019,USA,beautiful,28,14453,0.001937314,9,763,763,female stereotypes
8770,49599,2020,USA,beautiful,26,13040,0.001993865,9,763,763,female stereotypes
8771,49600,2021,USA,beautiful,11,7747,0.001419904,9,763,763,female stereotypes
8772,49606,2010,USA,cry,9,1912,0.004707113,3,764,764,female stereotypes
8773,49607,2011,USA,cry,9,3274,0.002748931,3,764,764,female stereotypes
8774,49608,2012,USA,cry,12,5474,0.002192181,3,764,764,female stereotypes
8775,49609,2013,USA,cry,17,7160,0.002374302,3,764,764,female stereotypes
8776,49610,2014,USA,cry,16,9566,0.00167259,3,764,764,female stereotypes
8777,49611,2015,USA,cry,41,10779,0.003803692,3,764,764,female stereotypes
8778,49612,2016,USA,cry,34,12290,0.0027664770000000003,3,764,764,female stereotypes
8779,49613,2017,USA,cry,30,12771,0.002349072,3,764,764,female stereotypes
8780,49614,2018,USA,cry,47,15174,0.003097403,3,764,764,female stereotypes
8781,49615,2019,USA,cry,36,14453,0.002490832,3,764,764,female stereotypes
8782,49616,2020,USA,cry,27,13040,0.002070552,3,764,764,female stereotypes
8783,49617,2021,USA,cry,12,7747,0.0015489870000000002,3,764,764,female stereotypes
8784,49623,2010,USA,pilot,6,1912,0.003138075,5,765,765,empowerment
8785,49624,2011,USA,pilot,3,3274,0.00091631,5,765,765,empowerment
8786,49625,2012,USA,pilot,10,5474,0.001826818,5,765,765,empowerment
8787,49626,2013,USA,pilot,9,7160,0.001256983,5,765,765,empowerment
8788,49627,2014,USA,pilot,30,9566,0.003136107,5,765,765,empowerment
8789,49628,2015,USA,pilot,12,10779,0.001113276,5,765,765,empowerment
8790,49629,2016,USA,pilot,24,12290,0.001952807,5,765,765,empowerment
8791,49630,2017,USA,pilot,25,12771,0.00195756,5,765,765,empowerment
8792,49631,2018,USA,pilot,23,15174,0.001515751,5,765,765,empowerment
8793,49632,2019,USA,pilot,21,14453,0.001452986,5,765,765,empowerment
8794,49633,2020,USA,pilot,10,13040,0.000766871,5,765,765,empowerment
8795,49634,2021,USA,pilot,8,7747,0.001032658,5,765,765,empowerment
8808,49759,2010,USA,housewife,12,1912,0.006276151,9,773,773,female stereotypes
8809,49760,2011,USA,housewife,14,3274,0.004276115,9,773,773,female stereotypes
8810,49761,2012,USA,housewife,15,5474,0.002740227,9,773,773,female stereotypes
8811,49762,2013,USA,housewife,17,7160,0.002374302,9,773,773,female stereotypes
8812,49763,2014,USA,housewife,22,9566,0.002299812,9,773,773,female stereotypes
8813,49764,2015,USA,housewife,19,10779,0.0017626870000000004,9,773,773,female stereotypes
8814,49765,2016,USA,housewife,27,12290,0.002196908,9,773,773,female stereotypes
8815,49766,2017,USA,housewife,31,12771,0.002427375,9,773,773,female stereotypes
8816,49767,2018,USA,housewife,15,15174,0.000988533,9,773,773,female stereotypes
8817,49768,2019,USA,housewife,17,14453,0.001176226,9,773,773,female stereotypes
8818,49769,2020,USA,housewife,8,13040,0.000613497,9,773,773,female stereotypes
8819,49770,2021,USA,housewife,15,7747,0.001936233,9,773,773,female stereotypes
8832,49946,2010,USA,saudi,9,1912,0.004707113,5,785,785,"race, ethnicity and identity"
8833,49947,2011,USA,saudi,15,3274,0.004581552,5,785,785,"race, ethnicity and identity"
8834,49948,2012,USA,saudi,24,5474,0.004384362,5,785,785,"race, ethnicity and identity"
8835,49949,2013,USA,saudi,20,7160,0.002793296,5,785,785,"race, ethnicity and identity"
8836,49950,2014,USA,saudi,12,9566,0.001254443,5,785,785,"race, ethnicity and identity"
8837,49951,2015,USA,saudi,40,10779,0.003710919,5,785,785,"race, ethnicity and identity"
8838,49952,2016,USA,saudi,24,12290,0.001952807,5,785,785,"race, ethnicity and identity"
8839,49953,2017,USA,saudi,78,12771,0.006107588000000001,5,785,785,"race, ethnicity and identity"
8840,49954,2018,USA,saudi,95,15174,0.006260709000000001,5,785,785,"race, ethnicity and identity"
8841,49955,2019,USA,saudi,72,14453,0.004981665,5,785,785,"race, ethnicity and identity"
8842,49956,2020,USA,saudi,12,13040,0.000920245,5,785,785,"race, ethnicity and identity"
8843,49957,2021,USA,saudi,9,7747,0.00116174,5,785,785,"race, ethnicity and identity"
8844,50252,2010,USA,affair,7,1912,0.003661088,6,803,803,female stereotypes
8845,50253,2011,USA,affair,1,3274,0.000305437,6,803,803,female stereotypes
8846,50254,2012,USA,affair,11,5474,0.002009499,6,803,803,female stereotypes
8847,50255,2013,USA,affair,8,7160,0.001117318,6,803,803,female stereotypes
8848,50256,2014,USA,affair,19,9566,0.001986201,6,803,803,female stereotypes
8849,50257,2015,USA,affair,10,10779,0.00092773,6,803,803,female stereotypes
8850,50258,2016,USA,affair,21,12290,0.0017087060000000002,6,803,803,female stereotypes
8851,50259,2017,USA,affair,2,12771,0.000156605,6,803,803,female stereotypes
8852,50260,2018,USA,affair,27,15174,0.001779359,6,803,803,female stereotypes
8853,50261,2019,USA,affair,14,14453,0.000968657,6,803,803,female stereotypes
8854,50262,2020,USA,affair,10,13040,0.000766871,6,803,803,female stereotypes
8855,50263,2021,USA,affair,6,7747,0.000774493,6,803,803,female stereotypes
8868,50456,2010,USA,fat,7,1912,0.003661088,3,815,815,female stereotypes
8869,50457,2011,USA,fat,13,3274,0.003970678,3,815,815,female stereotypes
8870,50458,2012,USA,fat,13,5474,0.002374863,3,815,815,female stereotypes
8871,50459,2013,USA,fat,13,7160,0.001815642,3,815,815,female stereotypes
8872,50460,2014,USA,fat,44,9566,0.004599624,3,815,815,female stereotypes
8873,50461,2015,USA,fat,24,10779,0.002226552,3,815,815,female stereotypes
8874,50462,2016,USA,fat,24,12290,0.001952807,3,815,815,female stereotypes
8875,50463,2017,USA,fat,26,12771,0.002035863,3,815,815,female stereotypes
8876,50464,2018,USA,fat,20,15174,0.001318044,3,815,815,female stereotypes
8877,50465,2019,USA,fat,15,14453,0.001037847,3,815,815,female stereotypes
8878,50466,2020,USA,fat,9,13040,0.0006901839999999999,3,815,815,female stereotypes
8879,50467,2021,USA,fat,4,7747,0.000516329,3,815,815,female stereotypes
8880,50592,2010,USA,gossip,61,1912,0.031903766,6,823,823,female stereotypes
8881,50593,2011,USA,gossip,76,3274,0.023213195,6,823,823,female stereotypes
8882,50594,2012,USA,gossip,108,5474,0.019729631,6,823,823,female stereotypes
8883,50595,2013,USA,gossip,17,7160,0.002374302,6,823,823,female stereotypes
8884,50596,2014,USA,gossip,10,9566,0.001045369,6,823,823,female stereotypes
8885,50597,2015,USA,gossip,30,10779,0.00278319,6,823,823,female stereotypes
8886,50598,2016,USA,gossip,13,12290,0.001057771,6,823,823,female stereotypes
8887,50599,2017,USA,gossip,34,12771,0.002662282,6,823,823,female stereotypes
8888,50600,2018,USA,gossip,29,15174,0.001911164,6,823,823,female stereotypes
8889,50601,2019,USA,gossip,38,14453,0.002629212,6,823,823,female stereotypes
8890,50602,2020,USA,gossip,29,13040,0.002223926,6,823,823,female stereotypes
8891,50603,2021,USA,gossip,25,7747,0.003227056,6,823,823,female stereotypes
8892,50643,2010,USA,sexy,9,1912,0.004707113,4,826,826,female stereotypes
8893,50644,2011,USA,sexy,19,3274,0.0058032990000000005,4,826,826,female stereotypes
8894,50645,2012,USA,sexy,26,5474,0.004749726,4,826,826,female stereotypes
8895,50646,2013,USA,sexy,47,7160,0.006564246,4,826,826,female stereotypes
8896,50647,2014,USA,sexy,42,9566,0.00439055,4,826,826,female stereotypes
8897,50648,2015,USA,sexy,43,10779,0.003989238,4,826,826,female stereotypes
8898,50649,2016,USA,sexy,19,12290,0.001545972,4,826,826,female stereotypes
8899,50650,2017,USA,sexy,26,12771,0.002035863,4,826,826,female stereotypes
8900,50651,2018,USA,sexy,17,15174,0.001120337,4,826,826,female stereotypes
8901,50652,2019,USA,sexy,7,14453,0.000484329,4,826,826,female stereotypes
8902,50653,2020,USA,sexy,9,13040,0.0006901839999999999,4,826,826,female stereotypes
8903,50654,2021,USA,sexy,3,7747,0.000387247,4,826,826,female stereotypes
8916,50983,2010,USA,cricketer,0,1912,0.0,9,847,847,empowerment
8917,50984,2011,USA,cricketer,0,3274,0.0,9,847,847,empowerment
8918,50985,2012,USA,cricketer,0,5474,0.0,9,847,847,empowerment
8919,50986,2013,USA,cricketer,1,7160,0.000139665,9,847,847,empowerment
8920,50987,2014,USA,cricketer,0,9566,0.0,9,847,847,empowerment
8921,50988,2015,USA,cricketer,1,10779,9.28e-05,9,847,847,empowerment
8922,50989,2016,USA,cricketer,0,12290,0.0,9,847,847,empowerment
8923,50990,2017,USA,cricketer,0,12771,0.0,9,847,847,empowerment
8924,50991,2018,USA,cricketer,0,15174,0.0,9,847,847,empowerment
8925,50992,2019,USA,cricketer,0,14453,0.0,9,847,847,empowerment
8926,50993,2020,USA,cricketer,0,13040,0.0,9,847,847,empowerment
8927,50994,2021,USA,cricketer,0,7747,0.0,9,847,847,empowerment
8928,51085,2010,USA,gangrape,0,1912,0.0,8,856,856,crime and violence
8929,51086,2011,USA,gangrape,0,3274,0.0,8,856,856,crime and violence
8930,51087,2012,USA,gangrape,0,5474,0.0,8,856,856,crime and violence
8931,51088,2013,USA,gangrape,0,7160,0.0,8,856,856,crime and violence
8932,51089,2014,USA,gangrape,0,9566,0.0,8,856,856,crime and violence
8933,51090,2015,USA,gangrape,0,10779,0.0,8,856,856,crime and violence
8934,51091,2016,USA,gangrape,0,12290,0.0,8,856,856,crime and violence
8935,51092,2017,USA,gangrape,0,12771,0.0,8,856,856,crime and violence
8936,51093,2018,USA,gangrape,0,15174,0.0,8,856,856,crime and violence
8937,51094,2019,USA,gangrape,0,14453,0.0,8,856,856,crime and violence
8938,51095,2020,USA,gangrape,0,13040,0.0,8,856,856,crime and violence
8939,51096,2021,USA,gangrape,0,7747,0.0,8,856,856,crime and violence
8952,52173,2010,USA,temple,0,1912,0.0,6,930,930,"race, ethnicity and identity"
8953,52174,2011,USA,temple,0,3274,0.0,6,930,930,"race, ethnicity and identity"
8954,52175,2012,USA,temple,1,5474,0.000182682,6,930,930,"race, ethnicity and identity"
8955,52176,2013,USA,temple,2,7160,0.00027933,6,930,930,"race, ethnicity and identity"
8956,52177,2014,USA,temple,3,9566,0.000313611,6,930,930,"race, ethnicity and identity"
8957,52178,2015,USA,temple,5,10779,0.000463865,6,930,930,"race, ethnicity and identity"
8958,52179,2016,USA,temple,3,12290,0.000244101,6,930,930,"race, ethnicity and identity"
8959,52180,2017,USA,temple,0,12771,0.0,6,930,930,"race, ethnicity and identity"
8960,52181,2018,USA,temple,5,15174,0.000329511,6,930,930,"race, ethnicity and identity"
8961,52182,2019,USA,temple,9,14453,0.000622708,6,930,930,"race, ethnicity and identity"
8962,52183,2020,USA,temple,2,13040,0.000153374,6,930,930,"race, ethnicity and identity"
8963,52184,2021,USA,temple,0,7747,0.0,6,930,930,"race, ethnicity and identity"
8964,52224,2010,USA,witchcraft,0,1912,0.0,10,935,935,female stereotypes
8965,52225,2011,USA,witchcraft,2,3274,0.000610874,10,935,935,female stereotypes
8966,52226,2012,USA,witchcraft,1,5474,0.000182682,10,935,935,female stereotypes
8967,52227,2013,USA,witchcraft,1,7160,0.000139665,10,935,935,female stereotypes
8968,52228,2014,USA,witchcraft,0,9566,0.0,10,935,935,female stereotypes
8969,52229,2015,USA,witchcraft,1,10779,9.28e-05,10,935,935,female stereotypes
8970,52230,2016,USA,witchcraft,0,12290,0.0,10,935,935,female stereotypes
8971,52231,2017,USA,witchcraft,0,12771,0.0,10,935,935,female stereotypes
8972,52232,2018,USA,witchcraft,2,15174,0.000131804,10,935,935,female stereotypes
8973,52233,2019,USA,witchcraft,1,14453,6.92e-05,10,935,935,female stereotypes
8974,52234,2020,USA,witchcraft,1,13040,7.670000000000001e-05,10,935,935,female stereotypes
8975,52235,2021,USA,witchcraft,0,7747,0.0,10,935,935,female stereotypes
8976,52547,2010,all countries,cricketer,0,35448,0.0,9,17,17,empowerment
8977,52548,2011,all countries,cricketer,0,58436,0.0,9,17,17,empowerment
8978,52549,2012,all countries,cricketer,3,94038,3.19e-05,9,17,17,empowerment
8979,52550,2013,all countries,cricketer,21,128387,0.000163568,9,17,17,empowerment
8980,52551,2014,all countries,cricketer,30,171115,0.00017532099999999998,9,17,17,empowerment
8981,52552,2015,all countries,cricketer,36,212576,0.000169351,9,17,17,empowerment
8982,52553,2016,all countries,cricketer,48,269843,0.000177881,9,17,17,empowerment
8983,52554,2017,all countries,cricketer,168,312298,0.000537948,9,17,17,empowerment
8984,52555,2018,all countries,cricketer,129,352387,0.000366075,9,17,17,empowerment
8985,52556,2019,all countries,cricketer,237,380716,0.000622511,9,17,17,empowerment
8986,52557,2020,all countries,cricketer,153,381402,0.000401152,9,17,17,empowerment
8987,52558,2021,all countries,cricketer,204,234227,0.00087095,9,17,17,empowerment
9000,52717,2010,all countries,abduct,0,35448,0.0,6,28,28,crime and violence
9001,52718,2011,all countries,abduct,21,58436,0.00035936800000000005,6,28,28,crime and violence
9002,52719,2012,all countries,abduct,33,94038,0.000350922,6,28,28,crime and violence
9003,52720,2013,all countries,abduct,51,128387,0.000397236,6,28,28,crime and violence
9004,52721,2014,all countries,abduct,75,171115,0.000438302,6,28,28,crime and violence
9005,52722,2015,all countries,abduct,69,212576,0.00032459,6,28,28,crime and violence
9006,52723,2016,all countries,abduct,192,269843,0.000711525,6,28,28,crime and violence
9007,52724,2017,all countries,abduct,180,312298,0.000576373,6,28,28,crime and violence
9008,52725,2018,all countries,abduct,147,352387,0.000417155,6,28,28,crime and violence
9009,52726,2019,all countries,abduct,219,380716,0.000575232,6,28,28,crime and violence
9010,52727,2020,all countries,abduct,213,381402,0.000558466,6,28,28,crime and violence
9011,52728,2021,all countries,abduct,171,234227,0.0007300610000000001,6,28,28,crime and violence
9012,52768,2010,all countries,equality,0,35448,0.0,8,31,31,empowerment
9013,52769,2011,all countries,equality,21,58436,0.00035936800000000005,8,31,31,empowerment
9014,52770,2012,all countries,equality,33,94038,0.000350922,8,31,31,empowerment
9015,52771,2013,all countries,equality,60,128387,0.000467337,8,31,31,empowerment
9016,52772,2014,all countries,equality,114,171115,0.0006662189999999999,8,31,31,empowerment
9017,52773,2015,all countries,equality,156,212576,0.000733855,8,31,31,empowerment
9018,52774,2016,all countries,equality,207,269843,0.000767113,8,31,31,empowerment
9019,52775,2017,all countries,equality,201,312298,0.000643616,8,31,31,empowerment
9020,52776,2018,all countries,equality,342,352387,0.000970524,8,31,31,empowerment
9021,52777,2019,all countries,equality,366,380716,0.000961347,8,31,31,empowerment
9022,52778,2020,all countries,equality,264,381402,0.0006921830000000001,8,31,31,empowerment
9023,52779,2021,all countries,equality,153,234227,0.000653212,8,31,31,empowerment
9024,53023,2010,all countries,metoo,0,35448,0.0,5,50,50,empowerment
9025,53024,2011,all countries,metoo,0,58436,0.0,5,50,50,empowerment
9026,53025,2012,all countries,metoo,0,94038,0.0,5,50,50,empowerment
9027,53026,2013,all countries,metoo,0,128387,0.0,5,50,50,empowerment
9028,53027,2014,all countries,metoo,0,171115,0.0,5,50,50,empowerment
9029,53028,2015,all countries,metoo,0,212576,0.0,5,50,50,empowerment
9030,53029,2016,all countries,metoo,0,269843,0.0,5,50,50,empowerment
9031,53030,2017,all countries,metoo,213,312298,0.0006820410000000001,5,50,50,empowerment
9032,53031,2018,all countries,metoo,1428,352387,0.004052363,5,50,50,empowerment
9033,53032,2019,all countries,metoo,360,380716,0.000945587,5,50,50,empowerment
9034,53033,2020,all countries,metoo,183,381402,0.000479809,5,50,50,empowerment
9035,53034,2021,all countries,metoo,81,234227,0.000345818,5,50,50,empowerment
9036,53193,2010,all countries,temple,0,35448,0.0,6,61,62,"race, ethnicity and identity"
9037,53194,2011,all countries,temple,15,58436,0.000256691,6,61,62,"race, ethnicity and identity"
9038,53195,2012,all countries,temple,9,94038,9.57e-05,6,61,62,"race, ethnicity and identity"
9039,53196,2013,all countries,temple,42,128387,0.000327136,6,61,62,"race, ethnicity and identity"
9040,53197,2014,all countries,temple,45,171115,0.000262981,6,61,62,"race, ethnicity and identity"
9041,53198,2015,all countries,temple,96,212576,0.000451603,6,61,62,"race, ethnicity and identity"
9042,53199,2016,all countries,temple,306,269843,0.001133993,6,61,62,"race, ethnicity and identity"
9043,53200,2017,all countries,temple,105,312298,0.000336217,6,61,62,"race, ethnicity and identity"
9044,53201,2018,all countries,temple,375,352387,0.001064171,6,61,62,"race, ethnicity and identity"
9045,53202,2019,all countries,temple,303,380716,0.0007958689999999999,6,61,62,"race, ethnicity and identity"
9046,53203,2020,all countries,temple,99,381402,0.000259569,6,61,62,"race, ethnicity and identity"
9047,53204,2021,all countries,temple,57,234227,0.000243354,6,61,62,"race, ethnicity and identity"
9048,53227,2010,all countries,testify,0,35448,0.0,7,63,64,crime and violence
9049,53228,2011,all countries,testify,24,58436,0.000410706,7,63,64,crime and violence
9050,53229,2012,all countries,testify,36,94038,0.000382824,7,63,64,crime and violence
9051,53230,2013,all countries,testify,60,128387,0.000467337,7,63,64,crime and violence
9052,53231,2014,all countries,testify,39,171115,0.000227917,7,63,64,crime and violence
9053,53232,2015,all countries,testify,48,212576,0.000225802,7,63,64,crime and violence
9054,53233,2016,all countries,testify,57,269843,0.000211234,7,63,64,crime and violence
9055,53234,2017,all countries,testify,90,312298,0.000288186,7,63,64,crime and violence
9056,53235,2018,all countries,testify,132,352387,0.000374588,7,63,64,crime and violence
9057,53236,2019,all countries,testify,105,380716,0.000275796,7,63,64,crime and violence
9058,53237,2020,all countries,testify,75,381402,0.000196643,7,63,64,crime and violence
9059,53238,2021,all countries,testify,48,234227,0.000204929,7,63,64,crime and violence
9060,53244,2010,all countries,vagina,0,35448,0.0,6,64,65,female stereotypes
9061,53245,2011,all countries,vagina,3,58436,5.13e-05,6,64,65,female stereotypes
9062,53246,2012,all countries,vagina,51,94038,0.000542334,6,64,65,female stereotypes
9063,53247,2013,all countries,vagina,48,128387,0.00037387,6,64,65,female stereotypes
9064,53248,2014,all countries,vagina,117,171115,0.000683751,6,64,65,female stereotypes
9065,53249,2015,all countries,vagina,156,212576,0.000733855,6,64,65,female stereotypes
9066,53250,2016,all countries,vagina,153,269843,0.000566996,6,64,65,female stereotypes
9067,53251,2017,all countries,vagina,141,312298,0.000451492,6,64,65,female stereotypes
9068,53252,2018,all countries,vagina,168,352387,0.000476749,6,64,65,female stereotypes
9069,53253,2019,all countries,vagina,141,380716,0.000370355,6,64,65,female stereotypes
9070,53254,2020,all countries,vagina,81,381402,0.000212374,6,64,65,female stereotypes
9071,53255,2021,all countries,vagina,48,234227,0.000204929,6,64,65,female stereotypes
9072,53295,2010,all countries,nigerian,0,35448,0.0,8,72,76,"race, ethnicity and identity"
9073,53296,2011,all countries,nigerian,9,58436,0.000154015,8,72,76,"race, ethnicity and identity"
9074,53297,2012,all countries,nigerian,12,94038,0.000127608,8,72,76,"race, ethnicity and identity"
9075,53298,2013,all countries,nigerian,9,128387,7.01e-05,8,72,76,"race, ethnicity and identity"
9076,53299,2014,all countries,nigerian,75,171115,0.000438302,8,72,76,"race, ethnicity and identity"
9077,53300,2015,all countries,nigerian,48,212576,0.000225802,8,72,76,"race, ethnicity and identity"
9078,53301,2016,all countries,nigerian,66,269843,0.000244587,8,72,76,"race, ethnicity and identity"
9079,53302,2017,all countries,nigerian,57,312298,0.000182518,8,72,76,"race, ethnicity and identity"
9080,53303,2018,all countries,nigerian,81,352387,0.000229861,8,72,76,"race, ethnicity and identity"
9081,53304,2019,all countries,nigerian,66,380716,0.000173358,8,72,76,"race, ethnicity and identity"
9082,53305,2020,all countries,nigerian,30,381402,7.87e-05,8,72,76,"race, ethnicity and identity"
9083,53306,2021,all countries,nigerian,36,234227,0.000153697,8,72,76,"race, ethnicity and identity"
9084,53873,2010,all countries,activist,3,35448,8.46e-05,8,115,74,empowerment
9085,53874,2011,all countries,activist,36,58436,0.000616059,8,115,74,empowerment
9086,53875,2012,all countries,activist,48,94038,0.000510432,8,115,74,empowerment
9087,53876,2013,all countries,activist,93,128387,0.0007243719999999999,8,115,74,empowerment
9088,53877,2014,all countries,activist,123,171115,0.000718815,8,115,74,empowerment
9089,53878,2015,all countries,activist,180,212576,0.000846756,8,115,74,empowerment
9090,53879,2016,all countries,activist,276,269843,0.001022817,8,115,74,empowerment
9091,53880,2017,all countries,activist,264,312298,0.0008453460000000001,8,115,74,empowerment
9092,53881,2018,all countries,activist,438,352387,0.001242952,8,115,74,empowerment
9093,53882,2019,all countries,activist,414,380716,0.001087425,8,115,74,empowerment
9094,53883,2020,all countries,activist,504,381402,0.00132144,8,115,74,empowerment
9095,53884,2021,all countries,activist,369,234227,0.001575395,8,115,74,empowerment
9108,54060,2010,all countries,founder,3,35448,8.46e-05,7,129,105,empowerment
9109,54061,2011,all countries,founder,12,58436,0.000205353,7,129,105,empowerment
9110,54062,2012,all countries,founder,42,94038,0.000446628,7,129,105,empowerment
9111,54063,2013,all countries,founder,75,128387,0.000584171,7,129,105,empowerment
9112,54064,2014,all countries,founder,84,171115,0.000490898,7,129,105,empowerment
9113,54065,2015,all countries,founder,138,212576,0.00064918,7,129,105,empowerment
9114,54066,2016,all countries,founder,180,269843,0.000667055,7,129,105,empowerment
9115,54067,2017,all countries,founder,207,312298,0.0006628280000000001,7,129,105,empowerment
9116,54068,2018,all countries,founder,294,352387,0.00083431,7,129,105,empowerment
9117,54069,2019,all countries,founder,318,380716,0.000835268,7,129,105,empowerment
9118,54070,2020,all countries,founder,345,381402,0.000904557,7,129,105,empowerment
9119,54071,2021,all countries,founder,219,234227,0.00093499,7,129,105,empowerment
9120,54111,2010,all countries,violence,12,35448,0.00033852400000000004,8,133,106,crime and violence
9121,54112,2011,all countries,violence,18,58436,0.00030802900000000003,8,133,106,crime and violence
9122,54113,2012,all countries,violence,99,94038,0.001052766,8,133,106,crime and violence
9123,54114,2013,all countries,violence,246,128387,0.001916082,8,133,106,crime and violence
9124,54115,2014,all countries,violence,351,171115,0.002051252,8,133,106,crime and violence
9125,54116,2015,all countries,violence,345,212576,0.001622949,8,133,106,crime and violence
9126,54117,2016,all countries,violence,387,269843,0.001434167,8,133,106,crime and violence
9127,54118,2017,all countries,violence,480,312298,0.001536994,8,133,106,crime and violence
9128,54119,2018,all countries,violence,606,352387,0.0017197,8,133,106,crime and violence
9129,54120,2019,all countries,violence,807,380716,0.00211969,8,133,106,crime and violence
9130,54121,2020,all countries,violence,972,381402,0.0025484920000000003,8,133,106,crime and violence
9131,54122,2021,all countries,violence,765,234227,0.003266062,8,133,106,crime and violence
9132,54145,2010,all countries,hindu,3,35448,8.46e-05,5,135,118,"race, ethnicity and identity"
9133,54146,2011,all countries,hindu,12,58436,0.000205353,5,135,118,"race, ethnicity and identity"
9134,54147,2012,all countries,hindu,21,94038,0.000223314,5,135,118,"race, ethnicity and identity"
9135,54148,2013,all countries,hindu,18,128387,0.000140201,5,135,118,"race, ethnicity and identity"
9136,54149,2014,all countries,hindu,33,171115,0.000192853,5,135,118,"race, ethnicity and identity"
9137,54150,2015,all countries,hindu,93,212576,0.000437491,5,135,118,"race, ethnicity and identity"
9138,54151,2016,all countries,hindu,135,269843,0.000500291,5,135,118,"race, ethnicity and identity"
9139,54152,2017,all countries,hindu,210,312298,0.000672435,5,135,118,"race, ethnicity and identity"
9140,54153,2018,all countries,hindu,282,352387,0.000800257,5,135,118,"race, ethnicity and identity"
9141,54154,2019,all countries,hindu,375,380716,0.000984986,5,135,118,"race, ethnicity and identity"
9142,54155,2020,all countries,hindu,417,381402,0.001093335,5,135,118,"race, ethnicity and identity"
9143,54156,2021,all countries,hindu,183,234227,0.0007812930000000001,5,135,118,"race, ethnicity and identity"
9144,54179,2010,all countries,empower,6,35448,0.00016926200000000002,7,139,120,empowerment
9145,54180,2011,all countries,empower,30,58436,0.0005133819999999999,7,139,120,empowerment
9146,54181,2012,all countries,empower,30,94038,0.00031902,7,139,120,empowerment
9147,54182,2013,all countries,empower,42,128387,0.000327136,7,139,120,empowerment
9148,54183,2014,all countries,empower,90,171115,0.0005259619999999999,7,139,120,empowerment
9149,54184,2015,all countries,empower,162,212576,0.00076208,7,139,120,empowerment
9150,54185,2016,all countries,empower,234,269843,0.000867171,7,139,120,empowerment
9151,54186,2017,all countries,empower,414,312298,0.001325657,7,139,120,empowerment
9152,54187,2018,all countries,empower,411,352387,0.001166331,7,139,120,empowerment
9153,54188,2019,all countries,empower,408,380716,0.001071665,7,139,120,empowerment
9154,54189,2020,all countries,empower,327,381402,0.000857363,7,139,120,empowerment
9155,54190,2021,all countries,empower,333,234227,0.001421698,7,139,120,empowerment
9156,54230,2010,all countries,ceo,6,35448,0.00016926200000000002,3,145,126,empowerment
9157,54231,2011,all countries,ceo,36,58436,0.000616059,3,145,126,empowerment
9158,54232,2012,all countries,ceo,63,94038,0.000669942,3,145,126,empowerment
9159,54233,2013,all countries,ceo,129,128387,0.001004775,3,145,126,empowerment
9160,54234,2014,all countries,ceo,216,171115,0.001262309,3,145,126,empowerment
9161,54235,2015,all countries,ceo,240,212576,0.001129008,3,145,126,empowerment
9162,54236,2016,all countries,ceo,285,269843,0.00105617,3,145,126,empowerment
9163,54237,2017,all countries,ceo,336,312298,0.001075895,3,145,126,empowerment
9164,54238,2018,all countries,ceo,549,352387,0.0015579460000000002,3,145,126,empowerment
9165,54239,2019,all countries,ceo,471,380716,0.001237143,3,145,126,empowerment
9166,54240,2020,all countries,ceo,612,381402,0.001604606,3,145,126,empowerment
9167,54241,2021,all countries,ceo,306,234227,0.001306425,3,145,126,empowerment
9180,54332,2010,all countries,elect,3,35448,8.46e-05,5,156,145,empowerment
9181,54333,2011,all countries,elect,3,58436,5.13e-05,5,156,145,empowerment
9182,54334,2012,all countries,elect,21,94038,0.000223314,5,156,145,empowerment
9183,54335,2013,all countries,elect,21,128387,0.000163568,5,156,145,empowerment
9184,54336,2014,all countries,elect,60,171115,0.000350641,5,156,145,empowerment
9185,54337,2015,all countries,elect,93,212576,0.000437491,5,156,145,empowerment
9186,54338,2016,all countries,elect,216,269843,0.000800465,5,156,145,empowerment
9187,54339,2017,all countries,elect,156,312298,0.000499523,5,156,145,empowerment
9188,54340,2018,all countries,elect,360,352387,0.001021604,5,156,145,empowerment
9189,54341,2019,all countries,elect,216,380716,0.0005673519999999999,5,156,145,empowerment
9190,54342,2020,all countries,elect,402,381402,0.001054006,5,156,145,empowerment
9191,54343,2021,all countries,elect,132,234227,0.000563556,5,156,145,empowerment
9204,54451,2010,all countries,transgender,12,35448,0.00033852400000000004,11,170,149,"race, ethnicity and identity"
9205,54452,2011,all countries,transgender,39,58436,0.000667397,11,170,149,"race, ethnicity and identity"
9206,54453,2012,all countries,transgender,72,94038,0.0007656480000000001,11,170,149,"race, ethnicity and identity"
9207,54454,2013,all countries,transgender,126,128387,0.000981408,11,170,149,"race, ethnicity and identity"
9208,54455,2014,all countries,transgender,195,171115,0.001139584,11,170,149,"race, ethnicity and identity"
9209,54456,2015,all countries,transgender,675,212576,0.003175335,11,170,149,"race, ethnicity and identity"
9210,54457,2016,all countries,transgender,630,269843,0.002334691,11,170,149,"race, ethnicity and identity"
9211,54458,2017,all countries,transgender,720,312298,0.00230549,11,170,149,"race, ethnicity and identity"
9212,54459,2018,all countries,transgender,750,352387,0.002128342,11,170,149,"race, ethnicity and identity"
9213,54460,2019,all countries,transgender,897,380716,0.002356087,11,170,149,"race, ethnicity and identity"
9214,54461,2020,all countries,transgender,597,381402,0.0015652779999999998,11,170,149,"race, ethnicity and identity"
9215,54462,2021,all countries,transgender,465,234227,0.001985254,11,170,149,"race, ethnicity and identity"
9228,54519,2010,all countries,appoint,6,35448,0.00016926200000000002,7,175,157,empowerment
9229,54520,2011,all countries,appoint,9,58436,0.000154015,7,175,157,empowerment
9230,54521,2012,all countries,appoint,6,94038,6.38e-05,7,175,157,empowerment
9231,54522,2013,all countries,appoint,57,128387,0.00044397,7,175,157,empowerment
9232,54523,2014,all countries,appoint,60,171115,0.000350641,7,175,157,empowerment
9233,54524,2015,all countries,appoint,78,212576,0.000366928,7,175,157,empowerment
9234,54525,2016,all countries,appoint,93,269843,0.000344645,7,175,157,empowerment
9235,54526,2017,all countries,appoint,147,312298,0.000470704,7,175,157,empowerment
9236,54527,2018,all countries,appoint,228,352387,0.0006470159999999999,7,175,157,empowerment
9237,54528,2019,all countries,appoint,213,380716,0.000559472,7,175,157,empowerment
9238,54529,2020,all countries,appoint,285,381402,0.0007472430000000001,7,175,157,empowerment
9239,54530,2021,all countries,appoint,222,234227,0.000947799,7,175,157,empowerment
9240,54536,2010,all countries,racist,6,35448,0.00016926200000000002,6,176,158,crime and violence
9241,54537,2011,all countries,racist,9,58436,0.000154015,6,176,158,crime and violence
9242,54538,2012,all countries,racist,36,94038,0.000382824,6,176,158,crime and violence
9243,54539,2013,all countries,racist,102,128387,0.0007944730000000001,6,176,158,crime and violence
9244,54540,2014,all countries,racist,90,171115,0.0005259619999999999,6,176,158,crime and violence
9245,54541,2015,all countries,racist,102,212576,0.000479828,6,176,158,crime and violence
9246,54542,2016,all countries,racist,177,269843,0.000655937,6,176,158,crime and violence
9247,54543,2017,all countries,racist,213,312298,0.0006820410000000001,6,176,158,crime and violence
9248,54544,2018,all countries,racist,366,352387,0.001038631,6,176,158,crime and violence
9249,54545,2019,all countries,racist,339,380716,0.0008904280000000002,6,176,158,crime and violence
9250,54546,2020,all countries,racist,501,381402,0.001313575,6,176,158,crime and violence
9251,54547,2021,all countries,racist,222,234227,0.000947799,6,176,158,crime and violence
9252,54570,2010,all countries,emotional,6,35448,0.00016926200000000002,9,178,163,female stereotypes
9253,54571,2011,all countries,emotional,33,58436,0.00056472,9,178,163,female stereotypes
9254,54572,2012,all countries,emotional,60,94038,0.00063804,9,178,163,female stereotypes
9255,54573,2013,all countries,emotional,51,128387,0.000397236,9,178,163,female stereotypes
9256,54574,2014,all countries,emotional,135,171115,0.0007889430000000001,9,178,163,female stereotypes
9257,54575,2015,all countries,emotional,192,212576,0.000903206,9,178,163,female stereotypes
9258,54576,2016,all countries,emotional,246,269843,0.000911641,9,178,163,female stereotypes
9259,54577,2017,all countries,emotional,288,312298,0.000922196,9,178,163,female stereotypes
9260,54578,2018,all countries,emotional,447,352387,0.001268492,9,178,163,female stereotypes
9261,54579,2019,all countries,emotional,372,380716,0.0009771060000000002,9,178,163,female stereotypes
9262,54580,2020,all countries,emotional,459,381402,0.001203455,9,178,163,female stereotypes
9263,54581,2021,all countries,emotional,219,234227,0.00093499,9,178,163,female stereotypes
9264,54587,2010,all countries,worth,6,35448,0.00016926200000000002,5,179,164,empowerment
9265,54588,2011,all countries,worth,27,58436,0.000462044,5,179,164,empowerment
9266,54589,2012,all countries,worth,48,94038,0.000510432,5,179,164,empowerment
9267,54590,2013,all countries,worth,45,128387,0.0003505030000000001,5,179,164,empowerment
9268,54591,2014,all countries,worth,72,171115,0.00042077,5,179,164,empowerment
9269,54592,2015,all countries,worth,123,212576,0.000578617,5,179,164,empowerment
9270,54593,2016,all countries,worth,144,269843,0.000533644,5,179,164,empowerment
9271,54594,2017,all countries,worth,162,312298,0.000518735,5,179,164,empowerment
9272,54595,2018,all countries,worth,234,352387,0.000664043,5,179,164,empowerment
9273,54596,2019,all countries,worth,312,380716,0.000819509,5,179,164,empowerment
9274,54597,2020,all countries,worth,309,381402,0.0008101689999999999,5,179,164,empowerment
9275,54598,2021,all countries,worth,219,234227,0.00093499,5,179,164,empowerment
9276,54672,2010,all countries,black,66,35448,0.001861882,5,189,171,"race, ethnicity and identity"
9277,54673,2011,all countries,black,171,58436,0.002926278,5,189,171,"race, ethnicity and identity"
9278,54674,2012,all countries,black,357,94038,0.003796338,5,189,171,"race, ethnicity and identity"
9279,54675,2013,all countries,black,441,128387,0.003434927,5,189,171,"race, ethnicity and identity"
9280,54676,2014,all countries,black,573,171115,0.003348625,5,189,171,"race, ethnicity and identity"
9281,54677,2015,all countries,black,987,212576,0.004643045,5,189,171,"race, ethnicity and identity"
9282,54678,2016,all countries,black,1287,269843,0.00476944,5,189,171,"race, ethnicity and identity"
9283,54679,2017,all countries,black,1527,312298,0.004889561,5,189,171,"race, ethnicity and identity"
9284,54680,2018,all countries,black,2475,352387,0.007023528,5,189,171,"race, ethnicity and identity"
9285,54681,2019,all countries,black,2346,380716,0.006162074,5,189,171,"race, ethnicity and identity"
9286,54682,2020,all countries,black,4173,381402,0.010941212,5,189,171,"race, ethnicity and identity"
9287,54683,2021,all countries,black,2223,234227,0.009490793,5,189,171,"race, ethnicity and identity"
9288,54689,2010,all countries,leader,18,35448,0.000507786,6,191,177,empowerment
9289,54690,2011,all countries,leader,57,58436,0.000975426,6,191,177,empowerment
9290,54691,2012,all countries,leader,87,94038,0.000925158,6,191,177,empowerment
9291,54692,2013,all countries,leader,159,128387,0.001238443,6,191,177,empowerment
9292,54693,2014,all countries,leader,213,171115,0.001244777,6,191,177,empowerment
9293,54694,2015,all countries,leader,324,212576,0.001524161,6,191,177,empowerment
9294,54695,2016,all countries,leader,453,269843,0.001678754,6,191,177,empowerment
9295,54696,2017,all countries,leader,561,312298,0.001796361,6,191,177,empowerment
9296,54697,2018,all countries,leader,756,352387,0.002145369,6,191,177,empowerment
9297,54698,2019,all countries,leader,822,380716,0.00215909,6,191,177,empowerment
9298,54699,2020,all countries,leader,1023,381402,0.002682209,6,191,177,empowerment
9299,54700,2021,all countries,leader,597,234227,0.002548809,6,191,177,empowerment
9300,54706,2010,all countries,fighter,3,35448,8.46e-05,7,192,189,empowerment
9301,54707,2011,all countries,fighter,24,58436,0.000410706,7,192,189,empowerment
9302,54708,2012,all countries,fighter,51,94038,0.000542334,7,192,189,empowerment
9303,54709,2013,all countries,fighter,72,128387,0.000560804,7,192,189,empowerment
9304,54710,2014,all countries,fighter,162,171115,0.000946732,7,192,189,empowerment
9305,54711,2015,all countries,fighter,216,212576,0.001016107,7,192,189,empowerment
9306,54712,2016,all countries,fighter,291,269843,0.001078405,7,192,189,empowerment
9307,54713,2017,all countries,fighter,189,312298,0.0006051909999999999,7,192,189,empowerment
9308,54714,2018,all countries,fighter,264,352387,0.000749176,7,192,189,empowerment
9309,54715,2019,all countries,fighter,270,380716,0.00070919,7,192,189,empowerment
9310,54716,2020,all countries,fighter,168,381402,0.00044048,7,192,189,empowerment
9311,54717,2021,all countries,fighter,99,234227,0.000422667,7,192,189,empowerment
9360,54893,2010,all countries,gangrape,3,35448,8.46e-05,8,205,204,crime and violence
9361,54894,2011,all countries,gangrape,0,58436,0.0,8,205,204,crime and violence
9362,54895,2012,all countries,gangrape,12,94038,0.000127608,8,205,204,crime and violence
9363,54896,2013,all countries,gangrape,27,128387,0.000210302,8,205,204,crime and violence
9364,54897,2014,all countries,gangrape,27,171115,0.000157789,8,205,204,crime and violence
9365,54898,2015,all countries,gangrape,39,212576,0.000183464,8,205,204,crime and violence
9366,54899,2016,all countries,gangrape,81,269843,0.000300175,8,205,204,crime and violence
9367,54900,2017,all countries,gangrape,150,312298,0.00048031,8,205,204,crime and violence
9368,54901,2018,all countries,gangrape,153,352387,0.000434182,8,205,204,crime and violence
9369,54902,2019,all countries,gangrape,126,380716,0.000330955,8,205,204,crime and violence
9370,54903,2020,all countries,gangrape,186,381402,0.000487674,8,205,204,crime and violence
9371,54904,2021,all countries,gangrape,87,234227,0.000371435,8,205,204,crime and violence
9384,54927,2010,all countries,support,27,35448,0.0007616789999999999,7,207,193,female stereotypes
9385,54928,2011,all countries,support,57,58436,0.000975426,7,207,193,female stereotypes
9386,54929,2012,all countries,support,90,94038,0.00095706,7,207,193,female stereotypes
9387,54930,2013,all countries,support,159,128387,0.001238443,7,207,193,female stereotypes
9388,54931,2014,all countries,support,255,171115,0.001490226,7,207,193,female stereotypes
9389,54932,2015,all countries,support,366,212576,0.001721737,7,207,193,female stereotypes
9390,54933,2016,all countries,support,555,269843,0.002056752,7,207,193,female stereotypes
9391,54934,2017,all countries,support,507,312298,0.001623449,7,207,193,female stereotypes
9392,54935,2018,all countries,support,741,352387,0.002102802,7,207,193,female stereotypes
9393,54936,2019,all countries,support,858,380716,0.002253648,7,207,193,female stereotypes
9394,54937,2020,all countries,support,894,381402,0.002343984,7,207,193,female stereotypes
9395,54938,2021,all countries,support,771,234227,0.003291679,7,207,193,female stereotypes
9396,54961,2010,all countries,athlete,9,35448,0.000253893,7,218,210,empowerment
9397,54962,2011,all countries,athlete,18,58436,0.00030802900000000003,7,218,210,empowerment
9398,54963,2012,all countries,athlete,129,94038,0.001371786,7,218,210,empowerment
9399,54964,2013,all countries,athlete,51,128387,0.000397236,7,218,210,empowerment
9400,54965,2014,all countries,athlete,93,171115,0.000543494,7,218,210,empowerment
9401,54966,2015,all countries,athlete,141,212576,0.000663292,7,218,210,empowerment
9402,54967,2016,all countries,athlete,240,269843,0.000889406,7,218,210,empowerment
9403,54968,2017,all countries,athlete,216,312298,0.000691647,7,218,210,empowerment
9404,54969,2018,all countries,athlete,261,352387,0.000740663,7,218,210,empowerment
9405,54970,2019,all countries,athlete,450,380716,0.001181983,7,218,210,empowerment
9406,54971,2020,all countries,athlete,351,381402,0.000920289,7,218,210,empowerment
9407,54972,2021,all countries,athlete,237,234227,0.0010118389999999998,7,218,210,empowerment
9408,55046,2010,all countries,brutal,6,35448,0.00016926200000000002,6,227,223,crime and violence
9409,55047,2011,all countries,brutal,15,58436,0.000256691,6,227,223,crime and violence
9410,55048,2012,all countries,brutal,33,94038,0.000350922,6,227,223,crime and violence
9411,55049,2013,all countries,brutal,39,128387,0.000303769,6,227,223,crime and violence
9412,55050,2014,all countries,brutal,66,171115,0.000385706,6,227,223,crime and violence
9413,55051,2015,all countries,brutal,120,212576,0.000564504,6,227,223,crime and violence
9414,55052,2016,all countries,brutal,177,269843,0.000655937,6,227,223,crime and violence
9415,55053,2017,all countries,brutal,156,312298,0.000499523,6,227,223,crime and violence
9416,55054,2018,all countries,brutal,141,352387,0.000400128,6,227,223,crime and violence
9417,55055,2019,all countries,brutal,192,380716,0.000504313,6,227,223,crime and violence
9418,55056,2020,all countries,brutal,177,381402,0.000464077,6,227,223,crime and violence
9419,55057,2021,all countries,brutal,147,234227,0.000627596,6,227,223,crime and violence
9420,55097,2010,all countries,allegedly,33,35448,0.000930941,9,233,222,crime and violence
9421,55098,2011,all countries,allegedly,81,58436,0.0013861320000000002,9,233,222,crime and violence
9422,55099,2012,all countries,allegedly,147,94038,0.0015631979999999998,9,233,222,crime and violence
9423,55100,2013,all countries,allegedly,204,128387,0.0015889460000000002,9,233,222,crime and violence
9424,55101,2014,all countries,allegedly,306,171115,0.001788271,9,233,222,crime and violence
9425,55102,2015,all countries,allegedly,423,212576,0.001989877,9,233,222,crime and violence
9426,55103,2016,all countries,allegedly,579,269843,0.0021456920000000003,9,233,222,crime and violence
9427,55104,2017,all countries,allegedly,894,312298,0.00286265,9,233,222,crime and violence
9428,55105,2018,all countries,allegedly,1317,352387,0.003737368,9,233,222,crime and violence
9429,55106,2019,all countries,allegedly,1536,380716,0.004034503,9,233,222,crime and violence
9430,55107,2020,all countries,allegedly,1539,381402,0.004035113,9,233,222,crime and violence
9431,55108,2021,all countries,allegedly,780,234227,0.003330103,9,233,222,crime and violence
9432,55165,2010,all countries,gender,27,35448,0.0007616789999999999,6,243,232,"race, ethnicity and identity"
9433,55166,2011,all countries,gender,48,58436,0.0008214110000000001,6,243,232,"race, ethnicity and identity"
9434,55167,2012,all countries,gender,114,94038,0.001212276,6,243,232,"race, ethnicity and identity"
9435,55168,2013,all countries,gender,153,128387,0.001191709,6,243,232,"race, ethnicity and identity"
9436,55169,2014,all countries,gender,396,171115,0.002314233,6,243,232,"race, ethnicity and identity"
9437,55170,2015,all countries,gender,474,212576,0.002229791,6,243,232,"race, ethnicity and identity"
9438,55171,2016,all countries,gender,741,269843,0.002746041,6,243,232,"race, ethnicity and identity"
9439,55172,2017,all countries,gender,780,312298,0.002497614,6,243,232,"race, ethnicity and identity"
9440,55173,2018,all countries,gender,1017,352387,0.002886032,6,243,232,"race, ethnicity and identity"
9441,55174,2019,all countries,gender,1320,380716,0.003467151,6,243,232,"race, ethnicity and identity"
9442,55175,2020,all countries,gender,1017,381402,0.002666478,6,243,232,"race, ethnicity and identity"
9443,55176,2021,all countries,gender,591,234227,0.002523193,6,243,232,"race, ethnicity and identity"
9456,55199,2010,all countries,protest,21,35448,0.0005924169999999999,7,245,236,empowerment
9457,55200,2011,all countries,protest,54,58436,0.000924088,7,245,236,empowerment
9458,55201,2012,all countries,protest,78,94038,0.0008294519999999999,7,245,236,empowerment
9459,55202,2013,all countries,protest,120,128387,0.000934674,7,245,236,empowerment
9460,55203,2014,all countries,protest,186,171115,0.001086988,7,245,236,empowerment
9461,55204,2015,all countries,protest,249,212576,0.001171346,7,245,236,empowerment
9462,55205,2016,all countries,protest,408,269843,0.00151199,7,245,236,empowerment
9463,55206,2017,all countries,protest,462,312298,0.001479356,7,245,236,empowerment
9464,55207,2018,all countries,protest,672,352387,0.001906994,7,245,236,empowerment
9465,55208,2019,all countries,protest,678,380716,0.001780855,7,245,236,empowerment
9466,55209,2020,all countries,protest,1287,381402,0.003374392,7,245,236,empowerment
9467,55210,2021,all countries,protest,456,234227,0.001946829,7,245,236,empowerment
9468,55301,2010,all countries,director,24,35448,0.0006770480000000001,8,254,246,empowerment
9469,55302,2011,all countries,director,66,58436,0.001129441,8,254,246,empowerment
9470,55303,2012,all countries,director,90,94038,0.00095706,8,254,246,empowerment
9471,55304,2013,all countries,director,132,128387,0.001028141,8,254,246,empowerment
9472,55305,2014,all countries,director,222,171115,0.001297373,8,254,246,empowerment
9473,55306,2015,all countries,director,366,212576,0.001721737,8,254,246,empowerment
9474,55307,2016,all countries,director,411,269843,0.0015231079999999998,8,254,246,empowerment
9475,55308,2017,all countries,director,627,312298,0.002007698,8,254,246,empowerment
9476,55309,2018,all countries,director,843,352387,0.002392256,8,254,246,empowerment
9477,55310,2019,all countries,director,675,380716,0.001772975,8,254,246,empowerment
9478,55311,2020,all countries,director,741,381402,0.001942832,8,254,246,empowerment
9479,55312,2021,all countries,director,492,234227,0.002100526,8,254,246,empowerment
9480,55352,2010,all countries,dalit,6,35448,0.00016926200000000002,5,258,255,"race, ethnicity and identity"
9481,55353,2011,all countries,dalit,12,58436,0.000205353,5,258,255,"race, ethnicity and identity"
9482,55354,2012,all countries,dalit,18,94038,0.000191412,5,258,255,"race, ethnicity and identity"
9483,55355,2013,all countries,dalit,30,128387,0.000233669,5,258,255,"race, ethnicity and identity"
9484,55356,2014,all countries,dalit,42,171115,0.000245449,5,258,255,"race, ethnicity and identity"
9485,55357,2015,all countries,dalit,39,212576,0.000183464,5,258,255,"race, ethnicity and identity"
9486,55358,2016,all countries,dalit,204,269843,0.000755995,5,258,255,"race, ethnicity and identity"
9487,55359,2017,all countries,dalit,207,312298,0.0006628280000000001,5,258,255,"race, ethnicity and identity"
9488,55360,2018,all countries,dalit,327,352387,0.000927957,5,258,255,"race, ethnicity and identity"
9489,55361,2019,all countries,dalit,249,380716,0.000654031,5,258,255,"race, ethnicity and identity"
9490,55362,2020,all countries,dalit,414,381402,0.001085469,5,258,255,"race, ethnicity and identity"
9491,55363,2021,all countries,dalit,123,234227,0.000525132,5,258,255,"race, ethnicity and identity"
9492,55437,2010,all countries,writer,6,35448,0.00016926200000000002,6,268,269,empowerment
9493,55438,2011,all countries,writer,45,58436,0.000770073,6,268,269,empowerment
9494,55439,2012,all countries,writer,54,94038,0.000574236,6,268,269,empowerment
9495,55440,2013,all countries,writer,117,128387,0.000911307,6,268,269,empowerment
9496,55441,2014,all countries,writer,156,171115,0.000911668,6,268,269,empowerment
9497,55442,2015,all countries,writer,162,212576,0.00076208,6,268,269,empowerment
9498,55443,2016,all countries,writer,258,269843,0.000956112,6,268,269,empowerment
9499,55444,2017,all countries,writer,243,312298,0.000778103,6,268,269,empowerment
9500,55445,2018,all countries,writer,288,352387,0.000817283,6,268,269,empowerment
9501,55446,2019,all countries,writer,291,380716,0.0007643489999999999,6,268,269,empowerment
9502,55447,2020,all countries,writer,228,381402,0.000597794,6,268,269,empowerment
9503,55448,2021,all countries,writer,120,234227,0.000512324,6,268,269,empowerment
9528,55641,2010,all countries,period,6,35448,0.00016926200000000002,6,291,291,female stereotypes
9529,55642,2011,all countries,period,9,58436,0.000154015,6,291,291,female stereotypes
9530,55643,2012,all countries,period,9,94038,9.57e-05,6,291,291,female stereotypes
9531,55644,2013,all countries,period,12,128387,9.35e-05,6,291,291,female stereotypes
9532,55645,2014,all countries,period,51,171115,0.000298045,6,291,291,female stereotypes
9533,55646,2015,all countries,period,141,212576,0.000663292,6,291,291,female stereotypes
9534,55647,2016,all countries,period,234,269843,0.000867171,6,291,291,female stereotypes
9535,55648,2017,all countries,period,267,312298,0.000854953,6,291,291,female stereotypes
9536,55649,2018,all countries,period,228,352387,0.0006470159999999999,6,291,291,female stereotypes
9537,55650,2019,all countries,period,324,380716,0.000851028,6,291,291,female stereotypes
9538,55651,2020,all countries,period,252,381402,0.00066072,6,291,291,female stereotypes
9539,55652,2021,all countries,period,111,234227,0.000473899,6,291,291,female stereotypes
9564,55862,2010,all countries,sexual,42,35448,0.0011848339999999998,6,311,298,female stereotypes
9565,55863,2011,all countries,sexual,96,58436,0.001642823,6,311,298,female stereotypes
9566,55864,2012,all countries,sexual,111,94038,0.001180374,6,311,298,female stereotypes
9567,55865,2013,all countries,sexual,201,128387,0.001565579,6,311,298,female stereotypes
9568,55866,2014,all countries,sexual,408,171115,0.002384361,6,311,298,female stereotypes
9569,55867,2015,all countries,sexual,498,212576,0.002342692,6,311,298,female stereotypes
9570,55868,2016,all countries,sexual,771,269843,0.002857217,6,311,298,female stereotypes
9571,55869,2017,all countries,sexual,1605,312298,0.005139322,6,311,298,female stereotypes
9572,55870,2018,all countries,sexual,1902,352387,0.005397475,6,311,298,female stereotypes
9573,55871,2019,all countries,sexual,1068,380716,0.002805241,6,311,298,female stereotypes
9574,55872,2020,all countries,sexual,924,381402,0.002422641,6,311,298,female stereotypes
9575,55873,2021,all countries,sexual,732,234227,0.003125173,6,311,298,female stereotypes
9588,55930,2010,all countries,oscar,21,35448,0.0005924169999999999,5,317,312,empowerment
9589,55931,2011,all countries,oscar,54,58436,0.000924088,5,317,312,empowerment
9590,55932,2012,all countries,oscar,78,94038,0.0008294519999999999,5,317,312,empowerment
9591,55933,2013,all countries,oscar,156,128387,0.001215076,5,317,312,empowerment
9592,55934,2014,all countries,oscar,300,171115,0.001753207,5,317,312,empowerment
9593,55935,2015,all countries,oscar,324,212576,0.001524161,5,317,312,empowerment
9594,55936,2016,all countries,oscar,312,269843,0.001156228,5,317,312,empowerment
9595,55937,2017,all countries,oscar,336,312298,0.001075895,5,317,312,empowerment
9596,55938,2018,all countries,oscar,507,352387,0.001438759,5,317,312,empowerment
9597,55939,2019,all countries,oscar,564,380716,0.001481419,5,317,312,empowerment
9598,55940,2020,all countries,oscar,447,381402,0.001171992,5,317,312,empowerment
9599,55941,2021,all countries,oscar,360,234227,0.001536971,5,317,312,empowerment
9600,55947,2010,all countries,police,192,35448,0.005416385,6,318,304,crime and violence
9601,55948,2011,all countries,police,273,58436,0.004671778,6,318,304,crime and violence
9602,55949,2012,all countries,police,636,94038,0.0067632230000000005,6,318,304,crime and violence
9603,55950,2013,all countries,police,837,128387,0.006519352,6,318,304,crime and violence
9604,55951,2014,all countries,police,1464,171115,0.00855565,6,318,304,crime and violence
9605,55952,2015,all countries,police,1857,212576,0.008735699,6,318,304,crime and violence
9606,55953,2016,all countries,police,2190,269843,0.00811583,6,318,304,crime and violence
9607,55954,2017,all countries,police,2589,312298,0.008290159,6,318,304,crime and violence
9608,55955,2018,all countries,police,3570,352387,0.010130907,6,318,304,crime and violence
9609,55956,2019,all countries,police,4212,380716,0.011063365,6,318,304,crime and violence
9610,55957,2020,all countries,police,4368,381402,0.011452483,6,318,304,crime and violence
9611,55958,2021,all countries,police,3276,234227,0.013986432,6,318,304,crime and violence
9612,56066,2010,all countries,harass,15,35448,0.000423155,6,328,325,crime and violence
9613,56067,2011,all countries,harass,12,58436,0.000205353,6,328,325,crime and violence
9614,56068,2012,all countries,harass,30,94038,0.00031902,6,328,325,crime and violence
9615,56069,2013,all countries,harass,36,128387,0.000280402,6,328,325,crime and violence
9616,56070,2014,all countries,harass,132,171115,0.0007714110000000001,6,328,325,crime and violence
9617,56071,2015,all countries,harass,156,212576,0.000733855,6,328,325,crime and violence
9618,56072,2016,all countries,harass,231,269843,0.0008560530000000001,6,328,325,crime and violence
9619,56073,2017,all countries,harass,429,312298,0.001373688,6,328,325,crime and violence
9620,56074,2018,all countries,harass,591,352387,0.001677133,6,328,325,crime and violence
9621,56075,2019,all countries,harass,444,380716,0.001166224,6,328,325,crime and violence
9622,56076,2020,all countries,harass,381,381402,0.000998946,6,328,325,crime and violence
9623,56077,2021,all countries,harass,246,234227,0.001050263,6,328,325,crime and violence
9624,56185,2010,all countries,freedom,6,35448,0.00016926200000000002,7,339,342,empowerment
9625,56186,2011,all countries,freedom,39,58436,0.000667397,7,339,342,empowerment
9626,56187,2012,all countries,freedom,27,94038,0.000287118,7,339,342,empowerment
9627,56188,2013,all countries,freedom,36,128387,0.000280402,7,339,342,empowerment
9628,56189,2014,all countries,freedom,42,171115,0.000245449,7,339,342,empowerment
9629,56190,2015,all countries,freedom,63,212576,0.000296365,7,339,342,empowerment
9630,56191,2016,all countries,freedom,69,269843,0.000255704,7,339,342,empowerment
9631,56192,2017,all countries,freedom,114,312298,0.000365036,7,339,342,empowerment
9632,56193,2018,all countries,freedom,201,352387,0.000570396,7,339,342,empowerment
9633,56194,2019,all countries,freedom,165,380716,0.000433394,7,339,342,empowerment
9634,56195,2020,all countries,freedom,156,381402,0.000409017,7,339,342,empowerment
9635,56196,2021,all countries,freedom,93,234227,0.000397051,7,339,342,empowerment
9648,56236,2010,all countries,lead,69,35448,0.001946513,4,343,334,empowerment
9649,56237,2011,all countries,lead,129,58436,0.002207543,4,343,334,empowerment
9650,56238,2012,all countries,lead,237,94038,0.002520258,4,343,334,empowerment
9651,56239,2013,all countries,lead,321,128387,0.002500253,4,343,334,empowerment
9652,56240,2014,all countries,lead,519,171115,0.003033048,4,343,334,empowerment
9653,56241,2015,all countries,lead,672,212576,0.003161222,4,343,334,empowerment
9654,56242,2016,all countries,lead,963,269843,0.003568742,4,343,334,empowerment
9655,56243,2017,all countries,lead,1011,312298,0.003237293,4,343,334,empowerment
9656,56244,2018,all countries,lead,1437,352387,0.004077903,4,343,334,empowerment
9657,56245,2019,all countries,lead,1452,380716,0.003813867,4,343,334,empowerment
9658,56246,2020,all countries,lead,1536,381402,0.004027247,4,343,334,empowerment
9659,56247,2021,all countries,lead,1056,234227,0.0045084470000000005,4,343,334,empowerment
9660,56372,2010,all countries,strong,15,35448,0.000423155,6,354,353,empowerment
9661,56373,2011,all countries,strong,42,58436,0.000718735,6,354,353,empowerment
9662,56374,2012,all countries,strong,66,94038,0.000701844,6,354,353,empowerment
9663,56375,2013,all countries,strong,117,128387,0.000911307,6,354,353,empowerment
9664,56376,2014,all countries,strong,150,171115,0.000876603,6,354,353,empowerment
9665,56377,2015,all countries,strong,192,212576,0.000903206,6,354,353,empowerment
9666,56378,2016,all countries,strong,240,269843,0.000889406,6,354,353,empowerment
9667,56379,2017,all countries,strong,372,312298,0.00119117,6,354,353,empowerment
9668,56380,2018,all countries,strong,429,352387,0.001217412,6,354,353,empowerment
9669,56381,2019,all countries,strong,372,380716,0.0009771060000000002,6,354,353,empowerment
9670,56382,2020,all countries,strong,339,381402,0.000888826,6,354,353,empowerment
9671,56383,2021,all countries,strong,219,234227,0.00093499,6,354,353,empowerment
9672,56406,2010,all countries,threaten,30,35448,0.00084631,8,358,348,crime and violence
9673,56407,2011,all countries,threaten,30,58436,0.0005133819999999999,8,358,348,crime and violence
9674,56408,2012,all countries,threaten,60,94038,0.00063804,8,358,348,crime and violence
9675,56409,2013,all countries,threaten,93,128387,0.0007243719999999999,8,358,348,crime and violence
9676,56410,2014,all countries,threaten,150,171115,0.000876603,8,358,348,crime and violence
9677,56411,2015,all countries,threaten,180,212576,0.000846756,8,358,348,crime and violence
9678,56412,2016,all countries,threaten,300,269843,0.001111758,8,358,348,crime and violence
9679,56413,2017,all countries,threaten,438,312298,0.001402507,8,358,348,crime and violence
9680,56414,2018,all countries,threaten,450,352387,0.001277005,8,358,348,crime and violence
9681,56415,2019,all countries,threaten,576,380716,0.001512939,8,358,348,crime and violence
9682,56416,2020,all countries,threaten,570,381402,0.0014944860000000002,8,358,348,crime and violence
9683,56417,2021,all countries,threaten,435,234227,0.001857173,8,358,348,crime and violence
9684,56457,2010,all countries,march,9,35448,0.000253893,5,362,363,empowerment
9685,56458,2011,all countries,march,18,58436,0.00030802900000000003,5,362,363,empowerment
9686,56459,2012,all countries,march,12,94038,0.000127608,5,362,363,empowerment
9687,56460,2013,all countries,march,33,128387,0.000257035,5,362,363,empowerment
9688,56461,2014,all countries,march,39,171115,0.000227917,5,362,363,empowerment
9689,56462,2015,all countries,march,81,212576,0.00038104,5,362,363,empowerment
9690,56463,2016,all countries,march,105,269843,0.000389115,5,362,363,empowerment
9691,56464,2017,all countries,march,633,312298,0.00202691,5,362,363,empowerment
9692,56465,2018,all countries,march,432,352387,0.001225925,5,362,363,empowerment
9693,56466,2019,all countries,march,348,380716,0.000914067,5,362,363,empowerment
9694,56467,2020,all countries,march,294,381402,0.00077084,5,362,363,empowerment
9695,56468,2021,all countries,march,129,234227,0.000550748,5,362,363,empowerment
9696,56559,2010,all countries,witchcraft,3,35448,8.46e-05,10,371,399,female stereotypes
9697,56560,2011,all countries,witchcraft,9,58436,0.000154015,10,371,399,female stereotypes
9698,56561,2012,all countries,witchcraft,6,94038,6.38e-05,10,371,399,female stereotypes
9699,56562,2013,all countries,witchcraft,6,128387,4.67e-05,10,371,399,female stereotypes
9700,56563,2014,all countries,witchcraft,15,171115,8.77e-05,10,371,399,female stereotypes
9701,56564,2015,all countries,witchcraft,21,212576,9.88e-05,10,371,399,female stereotypes
9702,56565,2016,all countries,witchcraft,45,269843,0.00016676400000000002,10,371,399,female stereotypes
9703,56566,2017,all countries,witchcraft,24,312298,7.68e-05,10,371,399,female stereotypes
9704,56567,2018,all countries,witchcraft,33,352387,9.36e-05,10,371,399,female stereotypes
9705,56568,2019,all countries,witchcraft,21,380716,5.5200000000000014e-05,10,371,399,female stereotypes
9706,56569,2020,all countries,witchcraft,54,381402,0.000141583,10,371,399,female stereotypes
9707,56570,2021,all countries,witchcraft,42,234227,0.00017931299999999998,10,371,399,female stereotypes
9720,56814,2010,all countries,rape,177,35448,0.00499323,4,389,379,crime and violence
9721,56815,2011,all countries,rape,273,58436,0.004671778,4,389,379,crime and violence
9722,56816,2012,all countries,rape,546,94038,0.0058061630000000005,4,389,379,crime and violence
9723,56817,2013,all countries,rape,1098,128387,0.008552268,4,389,379,crime and violence
9724,56818,2014,all countries,rape,1518,171115,0.008871226999999999,4,389,379,crime and violence
9725,56819,2015,all countries,rape,1563,212576,0.007352664,4,389,379,crime and violence
9726,56820,2016,all countries,rape,2313,269843,0.008571651,4,389,379,crime and violence
9727,56821,2017,all countries,rape,2823,312298,0.009039443,4,389,379,crime and violence
9728,56822,2018,all countries,rape,3324,352387,0.009432811,4,389,379,crime and violence
9729,56823,2019,all countries,rape,3462,380716,0.009093392,4,389,379,crime and violence
9730,56824,2020,all countries,rape,3597,381402,0.009430994,4,389,379,crime and violence
9731,56825,2021,all countries,rape,2325,234227,0.009926268,4,389,379,crime and violence
9732,56865,2010,all countries,pregnant,123,35448,0.003469871,8,392,382,female stereotypes
9733,56866,2011,all countries,pregnant,279,58436,0.004774454,8,392,382,female stereotypes
9734,56867,2012,all countries,pregnant,420,94038,0.00446628,8,392,382,female stereotypes
9735,56868,2013,all countries,pregnant,570,128387,0.004439702,8,392,382,female stereotypes
9736,56869,2014,all countries,pregnant,978,171115,0.005715455,8,392,382,female stereotypes
9737,56870,2015,all countries,pregnant,1224,212576,0.005757941,8,392,382,female stereotypes
9738,56871,2016,all countries,pregnant,1398,269843,0.00518079,8,392,382,female stereotypes
9739,56872,2017,all countries,pregnant,1674,312298,0.005360265,8,392,382,female stereotypes
9740,56873,2018,all countries,pregnant,1686,352387,0.004784512,8,392,382,female stereotypes
9741,56874,2019,all countries,pregnant,1755,380716,0.004609735,8,392,382,female stereotypes
9742,56875,2020,all countries,pregnant,2373,381402,0.006221782,8,392,382,female stereotypes
9743,56876,2021,all countries,pregnant,1611,234227,0.006877943,8,392,382,female stereotypes
9768,57103,2010,all countries,tribal,6,35448,0.00016926200000000002,6,408,420,"race, ethnicity and identity"
9769,57104,2011,all countries,tribal,3,58436,5.13e-05,6,408,420,"race, ethnicity and identity"
9770,57105,2012,all countries,tribal,12,94038,0.000127608,6,408,420,"race, ethnicity and identity"
9771,57106,2013,all countries,tribal,12,128387,9.35e-05,6,408,420,"race, ethnicity and identity"
9772,57107,2014,all countries,tribal,42,171115,0.000245449,6,408,420,"race, ethnicity and identity"
9773,57108,2015,all countries,tribal,54,212576,0.000254027,6,408,420,"race, ethnicity and identity"
9774,57109,2016,all countries,tribal,90,269843,0.000333527,6,408,420,"race, ethnicity and identity"
9775,57110,2017,all countries,tribal,117,312298,0.000374642,6,408,420,"race, ethnicity and identity"
9776,57111,2018,all countries,tribal,126,352387,0.000357561,6,408,420,"race, ethnicity and identity"
9777,57112,2019,all countries,tribal,183,380716,0.000480673,6,408,420,"race, ethnicity and identity"
9778,57113,2020,all countries,tribal,102,381402,0.000267434,6,408,420,"race, ethnicity and identity"
9779,57114,2021,all countries,tribal,75,234227,0.000320202,6,408,420,"race, ethnicity and identity"
9780,57188,2010,all countries,daughter,198,35448,0.005585646999999999,8,413,403,female stereotypes
9781,57189,2011,all countries,daughter,396,58436,0.006776645,8,413,403,female stereotypes
9782,57190,2012,all countries,daughter,723,94038,0.0076883809999999985,8,413,403,female stereotypes
9783,57191,2013,all countries,daughter,966,128387,0.007524126,8,413,403,female stereotypes
9784,57192,2014,all countries,daughter,1140,171115,0.006662186,8,413,403,female stereotypes
9785,57193,2015,all countries,daughter,1566,212576,0.007366777,8,413,403,female stereotypes
9786,57194,2016,all countries,daughter,2250,269843,0.008338182,8,413,403,female stereotypes
9787,57195,2017,all countries,daughter,2433,312298,0.007790636,8,413,403,female stereotypes
9788,57196,2018,all countries,daughter,2628,352387,0.00745771,8,413,403,female stereotypes
9789,57197,2019,all countries,daughter,3189,380716,0.008376323,8,413,403,female stereotypes
9790,57198,2020,all countries,daughter,3423,381402,0.008974783,8,413,403,female stereotypes
9791,57199,2021,all countries,daughter,2454,234227,0.010477016,8,413,403,female stereotypes
9816,57256,2010,all countries,family,141,35448,0.003977657,6,417,408,female stereotypes
9817,57257,2011,all countries,family,261,58436,0.004466425,6,417,408,female stereotypes
9818,57258,2012,all countries,family,585,94038,0.006220889,6,417,408,female stereotypes
9819,57259,2013,all countries,family,774,128387,0.006028648,6,417,408,female stereotypes
9820,57260,2014,all countries,family,1029,171115,0.0060135,6,417,408,female stereotypes
9821,57261,2015,all countries,family,1119,212576,0.005264,6,417,408,female stereotypes
9822,57262,2016,all countries,family,1473,269843,0.00545873,6,417,408,female stereotypes
9823,57263,2017,all countries,family,1803,312298,0.005773332,6,417,408,female stereotypes
9824,57264,2018,all countries,family,2427,352387,0.006887314,6,417,408,female stereotypes
9825,57265,2019,all countries,family,2538,380716,0.006666386,6,417,408,female stereotypes
9826,57266,2020,all countries,family,2928,381402,0.007676939,6,417,408,female stereotypes
9827,57267,2021,all countries,family,1713,234227,0.007313418,6,417,408,female stereotypes
9828,57307,2010,all countries,dream,33,35448,0.000930941,5,420,413,empowerment
9829,57308,2011,all countries,dream,93,58436,0.001591485,5,420,413,empowerment
9830,57309,2012,all countries,dream,174,94038,0.001850316,5,420,413,empowerment
9831,57310,2013,all countries,dream,147,128387,0.001144976,5,420,413,empowerment
9832,57311,2014,all countries,dream,219,171115,0.001279841,5,420,413,empowerment
9833,57312,2015,all countries,dream,330,212576,0.001552386,5,420,413,empowerment
9834,57313,2016,all countries,dream,402,269843,0.001489755,5,420,413,empowerment
9835,57314,2017,all countries,dream,471,312298,0.001508175,5,420,413,empowerment
9836,57315,2018,all countries,dream,531,352387,0.0015068660000000002,5,420,413,empowerment
9837,57316,2019,all countries,dream,735,380716,0.001930573,5,420,413,empowerment
9838,57317,2020,all countries,dream,669,381402,0.001754055,5,420,413,empowerment
9839,57318,2021,all countries,dream,399,234227,0.001703476,5,420,413,empowerment
9852,57460,2010,all countries,drama,12,35448,0.00033852400000000004,5,431,428,female stereotypes
9853,57461,2011,all countries,drama,33,58436,0.00056472,5,431,428,female stereotypes
9854,57462,2012,all countries,drama,51,94038,0.000542334,5,431,428,female stereotypes
9855,57463,2013,all countries,drama,57,128387,0.00044397,5,431,428,female stereotypes
9856,57464,2014,all countries,drama,84,171115,0.000490898,5,431,428,female stereotypes
9857,57465,2015,all countries,drama,105,212576,0.000493941,5,431,428,female stereotypes
9858,57466,2016,all countries,drama,138,269843,0.000511408,5,431,428,female stereotypes
9859,57467,2017,all countries,drama,174,312298,0.00055716,5,431,428,female stereotypes
9860,57468,2018,all countries,drama,177,352387,0.0005022890000000001,5,431,428,female stereotypes
9861,57469,2019,all countries,drama,267,380716,0.00070131,5,431,428,female stereotypes
9862,57470,2020,all countries,drama,276,381402,0.0007236460000000001,5,431,428,female stereotypes
9863,57471,2021,all countries,drama,141,234227,0.00060198,5,431,428,female stereotypes
9876,57545,2010,all countries,hate,27,35448,0.0007616789999999999,4,436,429,crime and violence
9877,57546,2011,all countries,hate,60,58436,0.001026764,4,436,429,crime and violence
9878,57547,2012,all countries,hate,117,94038,0.001244178,4,436,429,crime and violence
9879,57548,2013,all countries,hate,150,128387,0.001168343,4,436,429,crime and violence
9880,57549,2014,all countries,hate,189,171115,0.00110452,4,436,429,crime and violence
9881,57550,2015,all countries,hate,204,212576,0.000959657,4,436,429,crime and violence
9882,57551,2016,all countries,hate,318,269843,0.001178463,4,436,429,crime and violence
9883,57552,2017,all countries,hate,375,312298,0.001200776,4,436,429,crime and violence
9884,57553,2018,all countries,hate,303,352387,0.00085985,4,436,429,crime and violence
9885,57554,2019,all countries,hate,297,380716,0.000780109,4,436,429,crime and violence
9886,57555,2020,all countries,hate,435,381402,0.001140529,4,436,429,crime and violence
9887,57556,2021,all countries,hate,312,234227,0.001332041,4,436,429,crime and violence
9900,57664,2010,all countries,abuse,66,35448,0.001861882,5,444,433,crime and violence
9901,57665,2011,all countries,abuse,90,58436,0.001540146,5,444,433,crime and violence
9902,57666,2012,all countries,abuse,174,94038,0.001850316,5,444,433,crime and violence
9903,57667,2013,all countries,abuse,285,128387,0.002219851,5,444,433,crime and violence
9904,57668,2014,all countries,abuse,471,171115,0.002752535,5,444,433,crime and violence
9905,57669,2015,all countries,abuse,483,212576,0.002272129,5,444,433,crime and violence
9906,57670,2016,all countries,abuse,717,269843,0.002657101,5,444,433,crime and violence
9907,57671,2017,all countries,abuse,1239,312298,0.003967365,5,444,433,crime and violence
9908,57672,2018,all countries,abuse,1389,352387,0.003941689,5,444,433,crime and violence
9909,57673,2019,all countries,abuse,1386,380716,0.003640509,5,444,433,crime and violence
9910,57674,2020,all countries,abuse,1290,381402,0.003382258,5,444,433,crime and violence
9911,57675,2021,all countries,abuse,747,234227,0.003189214,5,444,433,crime and violence
9924,57817,2010,all countries,mayor,18,35448,0.000507786,5,453,450,empowerment
9925,57818,2011,all countries,mayor,15,58436,0.000256691,5,453,450,empowerment
9926,57819,2012,all countries,mayor,69,94038,0.0007337460000000001,5,453,450,empowerment
9927,57820,2013,all countries,mayor,63,128387,0.000490704,5,453,450,empowerment
9928,57821,2014,all countries,mayor,75,171115,0.000438302,5,453,450,empowerment
9929,57822,2015,all countries,mayor,78,212576,0.000366928,5,453,450,empowerment
9930,57823,2016,all countries,mayor,135,269843,0.000500291,5,453,450,empowerment
9931,57824,2017,all countries,mayor,165,312298,0.000528342,5,453,450,empowerment
9932,57825,2018,all countries,mayor,153,352387,0.000434182,5,453,450,empowerment
9933,57826,2019,all countries,mayor,213,380716,0.000559472,5,453,450,empowerment
9934,57827,2020,all countries,mayor,246,381402,0.000644989,5,453,450,empowerment
9935,57828,2021,all countries,mayor,201,234227,0.000858142,5,453,450,empowerment
9936,57834,2010,all countries,kidnap,27,35448,0.0007616789999999999,6,454,447,crime and violence
9937,57835,2011,all countries,kidnap,63,58436,0.001078103,6,454,447,crime and violence
9938,57836,2012,all countries,kidnap,84,94038,0.000893256,6,454,447,crime and violence
9939,57837,2013,all countries,kidnap,180,128387,0.001402011,6,454,447,crime and violence
9940,57838,2014,all countries,kidnap,204,171115,0.001192181,6,454,447,crime and violence
9941,57839,2015,all countries,kidnap,150,212576,0.00070563,6,454,447,crime and violence
9942,57840,2016,all countries,kidnap,309,269843,0.00114511,6,454,447,crime and violence
9943,57841,2017,all countries,kidnap,261,312298,0.00083574,6,454,447,crime and violence
9944,57842,2018,all countries,kidnap,414,352387,0.001174845,6,454,447,crime and violence
9945,57843,2019,all countries,kidnap,519,380716,0.001363221,6,454,447,crime and violence
9946,57844,2020,all countries,kidnap,432,381402,0.001132663,6,454,447,crime and violence
9947,57845,2021,all countries,kidnap,300,234227,0.001280809,6,454,447,crime and violence
9948,58140,2010,all countries,survivor,15,35448,0.000423155,8,473,468,empowerment
9949,58141,2011,all countries,survivor,24,58436,0.000410706,8,473,468,empowerment
9950,58142,2012,all countries,survivor,75,94038,0.00079755,8,473,468,empowerment
9951,58143,2013,all countries,survivor,60,128387,0.000467337,8,473,468,empowerment
9952,58144,2014,all countries,survivor,87,171115,0.00050843,8,473,468,empowerment
9953,58145,2015,all countries,survivor,150,212576,0.00070563,8,473,468,empowerment
9954,58146,2016,all countries,survivor,195,269843,0.000722642,8,473,468,empowerment
9955,58147,2017,all countries,survivor,249,312298,0.000797315,8,473,468,empowerment
9956,58148,2018,all countries,survivor,264,352387,0.000749176,8,473,468,empowerment
9957,58149,2019,all countries,survivor,282,380716,0.00074071,8,473,468,empowerment
9958,58150,2020,all countries,survivor,297,381402,0.0007787060000000001,8,473,468,empowerment
9959,58151,2021,all countries,survivor,162,234227,0.0006916369999999999,8,473,468,empowerment
9960,58157,2010,all countries,security,12,35448,0.00033852400000000004,8,474,472,crime and violence
9961,58158,2011,all countries,security,12,58436,0.000205353,8,474,472,crime and violence
9962,58159,2012,all countries,security,45,94038,0.00047853,8,474,472,crime and violence
9963,58160,2013,all countries,security,87,128387,0.000677639,8,474,472,crime and violence
9964,58161,2014,all countries,security,87,171115,0.00050843,8,474,472,crime and violence
9965,58162,2015,all countries,security,126,212576,0.0005927290000000001,8,474,472,crime and violence
9966,58163,2016,all countries,security,186,269843,0.00068929,8,474,472,crime and violence
9967,58164,2017,all countries,security,234,312298,0.0007492839999999999,8,474,472,crime and violence
9968,58165,2018,all countries,security,261,352387,0.000740663,8,474,472,crime and violence
9969,58166,2019,all countries,security,297,380716,0.000780109,8,474,472,crime and violence
9970,58167,2020,all countries,security,264,381402,0.0006921830000000001,8,474,472,crime and violence
9971,58168,2021,all countries,security,129,234227,0.000550748,8,474,472,crime and violence
10008,58327,2010,all countries,pilot,21,35448,0.0005924169999999999,5,485,479,empowerment
10009,58328,2011,all countries,pilot,45,58436,0.000770073,5,485,479,empowerment
10010,58329,2012,all countries,pilot,66,94038,0.000701844,5,485,479,empowerment
10011,58330,2013,all countries,pilot,87,128387,0.000677639,5,485,479,empowerment
10012,58331,2014,all countries,pilot,171,171115,0.000999328,5,485,479,empowerment
10013,58332,2015,all countries,pilot,177,212576,0.000832643,5,485,479,empowerment
10014,58333,2016,all countries,pilot,372,269843,0.001378579,5,485,479,empowerment
10015,58334,2017,all countries,pilot,312,312298,0.000999046,5,485,479,empowerment
10016,58335,2018,all countries,pilot,372,352387,0.001055658,5,485,479,empowerment
10017,58336,2019,all countries,pilot,474,380716,0.001245023,5,485,479,empowerment
10018,58337,2020,all countries,pilot,324,381402,0.000849497,5,485,479,empowerment
10019,58338,2021,all countries,pilot,216,234227,0.000922182,5,485,479,empowerment
10020,58361,2010,all countries,pink,12,35448,0.00033852400000000004,4,487,489,female stereotypes
10021,58362,2011,all countries,pink,54,58436,0.000924088,4,487,489,female stereotypes
10022,58363,2012,all countries,pink,93,94038,0.000988962,4,487,489,female stereotypes
10023,58364,2013,all countries,pink,114,128387,0.00088794,4,487,489,female stereotypes
10024,58365,2014,all countries,pink,81,171115,0.000473366,4,487,489,female stereotypes
10025,58366,2015,all countries,pink,153,212576,0.000719743,4,487,489,female stereotypes
10026,58367,2016,all countries,pink,231,269843,0.0008560530000000001,4,487,489,female stereotypes
10027,58368,2017,all countries,pink,303,312298,0.000970227,4,487,489,female stereotypes
10028,58369,2018,all countries,pink,282,352387,0.000800257,4,487,489,female stereotypes
10029,58370,2019,all countries,pink,354,380716,0.000929827,4,487,489,female stereotypes
10030,58371,2020,all countries,pink,174,381402,0.000456212,4,487,489,female stereotypes
10031,58372,2021,all countries,pink,123,234227,0.000525132,4,487,489,female stereotypes
10032,58480,2010,all countries,first,447,35448,0.01261002,5,494,481,empowerment
10033,58481,2011,all countries,first,720,58436,0.012321172,5,494,481,empowerment
10034,58482,2012,all countries,first,1290,94038,0.013717859,5,494,481,empowerment
10035,58483,2013,all countries,first,1719,128387,0.013389206,5,494,481,empowerment
10036,58484,2014,all countries,first,2367,171115,0.013832803,5,494,481,empowerment
10037,58485,2015,all countries,first,3075,212576,0.014465415,5,494,481,empowerment
10038,58486,2016,all countries,first,4230,269843,0.015675782,5,494,481,empowerment
10039,58487,2017,all countries,first,5412,312298,0.017329602,5,494,481,empowerment
10040,58488,2018,all countries,first,6618,352387,0.018780488,5,494,481,empowerment
10041,58489,2019,all countries,first,6285,380716,0.016508368,5,494,481,empowerment
10042,58490,2020,all countries,first,6630,381402,0.017383233,5,494,481,empowerment
10043,58491,2021,all countries,first,4503,234227,0.01922494,5,494,481,empowerment
10044,58497,2010,all countries,accuse,153,35448,0.004316181,6,495,486,crime and violence
10045,58498,2011,all countries,accuse,180,58436,0.003080293,6,495,486,crime and violence
10046,58499,2012,all countries,accuse,366,94038,0.003892044,6,495,486,crime and violence
10047,58500,2013,all countries,accuse,528,128387,0.004112566,6,495,486,crime and violence
10048,58501,2014,all countries,accuse,696,171115,0.00406744,6,495,486,crime and violence
10049,58502,2015,all countries,accuse,870,212576,0.004092654,6,495,486,crime and violence
10050,58503,2016,all countries,accuse,1281,269843,0.004747205,6,495,486,crime and violence
10051,58504,2017,all countries,accuse,1923,312298,0.00615758,6,495,486,crime and violence
10052,58505,2018,all countries,accuse,2778,352387,0.007883378,6,495,486,crime and violence
10053,58506,2019,all countries,accuse,2658,380716,0.006981581999999999,6,495,486,crime and violence
10054,58507,2020,all countries,accuse,2184,381402,0.005726242,6,495,486,crime and violence
10055,58508,2021,all countries,accuse,1530,234227,0.006532125,6,495,486,crime and violence
10056,58582,2010,all countries,makeup,6,35448,0.00016926200000000002,6,500,509,female stereotypes
10057,58583,2011,all countries,makeup,27,58436,0.000462044,6,500,509,female stereotypes
10058,58584,2012,all countries,makeup,42,94038,0.000446628,6,500,509,female stereotypes
10059,58585,2013,all countries,makeup,69,128387,0.000537438,6,500,509,female stereotypes
10060,58586,2014,all countries,makeup,114,171115,0.0006662189999999999,6,500,509,female stereotypes
10061,58587,2015,all countries,makeup,189,212576,0.000889094,6,500,509,female stereotypes
10062,58588,2016,all countries,makeup,270,269843,0.001000582,6,500,509,female stereotypes
10063,58589,2017,all countries,makeup,213,312298,0.0006820410000000001,6,500,509,female stereotypes
10064,58590,2018,all countries,makeup,255,352387,0.000723636,6,500,509,female stereotypes
10065,58591,2019,all countries,makeup,252,380716,0.000661911,6,500,509,female stereotypes
10066,58592,2020,all countries,makeup,219,381402,0.0005741969999999999,6,500,509,female stereotypes
10067,58593,2021,all countries,makeup,60,234227,0.000256162,6,500,509,female stereotypes
10080,58735,2010,all countries,trial,27,35448,0.0007616789999999999,5,511,505,crime and violence
10081,58736,2011,all countries,trial,81,58436,0.0013861320000000002,5,511,505,crime and violence
10082,58737,2012,all countries,trial,129,94038,0.001371786,5,511,505,crime and violence
10083,58738,2013,all countries,trial,222,128387,0.001729147,5,511,505,crime and violence
10084,58739,2014,all countries,trial,240,171115,0.001402566,5,511,505,crime and violence
10085,58740,2015,all countries,trial,183,212576,0.0008608689999999999,5,511,505,crime and violence
10086,58741,2016,all countries,trial,234,269843,0.000867171,5,511,505,crime and violence
10087,58742,2017,all countries,trial,279,312298,0.000893377,5,511,505,crime and violence
10088,58743,2018,all countries,trial,294,352387,0.00083431,5,511,505,crime and violence
10089,58744,2019,all countries,trial,405,380716,0.001063785,5,511,505,crime and violence
10090,58745,2020,all countries,trial,375,381402,0.000983215,5,511,505,crime and violence
10091,58746,2021,all countries,trial,261,234227,0.001114304,5,511,505,crime and violence
10092,58769,2010,all countries,entrepreneur,42,35448,0.0011848339999999998,12,514,506,empowerment
10093,58770,2011,all countries,entrepreneur,57,58436,0.000975426,12,514,506,empowerment
10094,58771,2012,all countries,entrepreneur,78,94038,0.0008294519999999999,12,514,506,empowerment
10095,58772,2013,all countries,entrepreneur,111,128387,0.0008645739999999999,12,514,506,empowerment
10096,58773,2014,all countries,entrepreneur,162,171115,0.000946732,12,514,506,empowerment
10097,58774,2015,all countries,entrepreneur,192,212576,0.000903206,12,514,506,empowerment
10098,58775,2016,all countries,entrepreneur,357,269843,0.001322992,12,514,506,empowerment
10099,58776,2017,all countries,entrepreneur,378,312298,0.001210382,12,514,506,empowerment
10100,58777,2018,all countries,entrepreneur,438,352387,0.001242952,12,514,506,empowerment
10101,58778,2019,all countries,entrepreneur,480,380716,0.001260782,12,514,506,empowerment
10102,58779,2020,all countries,entrepreneur,525,381402,0.0013765,12,514,506,empowerment
10103,58780,2021,all countries,entrepreneur,402,234227,0.001716284,12,514,506,empowerment
10104,58871,2010,all countries,white,69,35448,0.001946513,5,520,511,"race, ethnicity and identity"
10105,58872,2011,all countries,white,138,58436,0.002361558,5,520,511,"race, ethnicity and identity"
10106,58873,2012,all countries,white,201,94038,0.002137434,5,520,511,"race, ethnicity and identity"
10107,58874,2013,all countries,white,294,128387,0.002289951,5,520,511,"race, ethnicity and identity"
10108,58875,2014,all countries,white,264,171115,0.001542822,5,520,511,"race, ethnicity and identity"
10109,58876,2015,all countries,white,441,212576,0.002074552,5,520,511,"race, ethnicity and identity"
10110,58877,2016,all countries,white,849,269843,0.003146274,5,520,511,"race, ethnicity and identity"
10111,58878,2017,all countries,white,960,312298,0.003073987,5,520,511,"race, ethnicity and identity"
10112,58879,2018,all countries,white,1215,352387,0.0034479140000000003,5,520,511,"race, ethnicity and identity"
10113,58880,2019,all countries,white,963,380716,0.002529445,5,520,511,"race, ethnicity and identity"
10114,58881,2020,all countries,white,1536,381402,0.004027247,5,520,511,"race, ethnicity and identity"
10115,58882,2021,all countries,white,648,234227,0.0027665470000000003,5,520,511,"race, ethnicity and identity"
10116,58922,2010,all countries,owner,18,35448,0.000507786,5,523,519,empowerment
10117,58923,2011,all countries,owner,33,58436,0.00056472,5,523,519,empowerment
10118,58924,2012,all countries,owner,54,94038,0.000574236,5,523,519,empowerment
10119,58925,2013,all countries,owner,69,128387,0.000537438,5,523,519,empowerment
10120,58926,2014,all countries,owner,96,171115,0.000561026,5,523,519,empowerment
10121,58927,2015,all countries,owner,93,212576,0.000437491,5,523,519,empowerment
10122,58928,2016,all countries,owner,117,269843,0.000433585,5,523,519,empowerment
10123,58929,2017,all countries,owner,222,312298,0.000710859,5,523,519,empowerment
10124,58930,2018,all countries,owner,246,352387,0.000698096,5,523,519,empowerment
10125,58931,2019,all countries,owner,234,380716,0.000614631,5,523,519,empowerment
10126,58932,2020,all countries,owner,375,381402,0.000983215,5,523,519,empowerment
10127,58933,2021,all countries,owner,168,234227,0.000717253,5,523,519,empowerment
10128,58956,2010,all countries,feminist,9,35448,0.000253893,8,526,529,empowerment
10129,58957,2011,all countries,feminist,18,58436,0.00030802900000000003,8,526,529,empowerment
10130,58958,2012,all countries,feminist,60,94038,0.00063804,8,526,529,empowerment
10131,58959,2013,all countries,feminist,117,128387,0.000911307,8,526,529,empowerment
10132,58960,2014,all countries,feminist,156,171115,0.000911668,8,526,529,empowerment
10133,58961,2015,all countries,feminist,300,212576,0.00141126,8,526,529,empowerment
10134,58962,2016,all countries,feminist,327,269843,0.001211816,8,526,529,empowerment
10135,58963,2017,all countries,feminist,357,312298,0.001143139,8,526,529,empowerment
10136,58964,2018,all countries,feminist,375,352387,0.001064171,8,526,529,empowerment
10137,58965,2019,all countries,feminist,240,380716,0.000630391,8,526,529,empowerment
10138,58966,2020,all countries,feminist,258,381402,0.000676452,8,526,529,empowerment
10139,58967,2021,all countries,feminist,84,234227,0.000358626,8,526,529,empowerment
10140,59160,2010,all countries,inspire,36,35448,0.001015572,7,539,537,empowerment
10141,59161,2011,all countries,inspire,90,58436,0.001540146,7,539,537,empowerment
10142,59162,2012,all countries,inspire,84,94038,0.000893256,7,539,537,empowerment
10143,59163,2013,all countries,inspire,135,128387,0.001051508,7,539,537,empowerment
10144,59164,2014,all countries,inspire,222,171115,0.001297373,7,539,537,empowerment
10145,59165,2015,all countries,inspire,327,212576,0.001538273,7,539,537,empowerment
10146,59166,2016,all countries,inspire,534,269843,0.001978928,7,539,537,empowerment
10147,59167,2017,all countries,inspire,519,312298,0.001661874,7,539,537,empowerment
10148,59168,2018,all countries,inspire,516,352387,0.001464299,7,539,537,empowerment
10149,59169,2019,all countries,inspire,567,380716,0.001489299,7,539,537,empowerment
10150,59170,2020,all countries,inspire,690,381402,0.001809115,7,539,537,empowerment
10151,59171,2021,all countries,inspire,324,234227,0.001383273,7,539,537,empowerment
10152,59262,2010,all countries,hijab,9,35448,0.000253893,5,547,550,"race, ethnicity and identity"
10153,59263,2011,all countries,hijab,18,58436,0.00030802900000000003,5,547,550,"race, ethnicity and identity"
10154,59264,2012,all countries,hijab,21,94038,0.000223314,5,547,550,"race, ethnicity and identity"
10155,59265,2013,all countries,hijab,27,128387,0.000210302,5,547,550,"race, ethnicity and identity"
10156,59266,2014,all countries,hijab,45,171115,0.000262981,5,547,550,"race, ethnicity and identity"
10157,59267,2015,all countries,hijab,120,212576,0.000564504,5,547,550,"race, ethnicity and identity"
10158,59268,2016,all countries,hijab,375,269843,0.001389697,5,547,550,"race, ethnicity and identity"
10159,59269,2017,all countries,hijab,354,312298,0.001133533,5,547,550,"race, ethnicity and identity"
10160,59270,2018,all countries,hijab,222,352387,0.000629989,5,547,550,"race, ethnicity and identity"
10161,59271,2019,all countries,hijab,183,380716,0.000480673,5,547,550,"race, ethnicity and identity"
10162,59272,2020,all countries,hijab,93,381402,0.000243837,5,547,550,"race, ethnicity and identity"
10163,59273,2021,all countries,hijab,81,234227,0.000345818,5,547,550,"race, ethnicity and identity"
10176,59364,2010,all countries,church,18,35448,0.000507786,6,553,549,"race, ethnicity and identity"
10177,59365,2011,all countries,church,39,58436,0.000667397,6,553,549,"race, ethnicity and identity"
10178,59366,2012,all countries,church,117,94038,0.001244178,6,553,549,"race, ethnicity and identity"
10179,59367,2013,all countries,church,87,128387,0.000677639,6,553,549,"race, ethnicity and identity"
10180,59368,2014,all countries,church,165,171115,0.000964264,6,553,549,"race, ethnicity and identity"
10181,59369,2015,all countries,church,192,212576,0.000903206,6,553,549,"race, ethnicity and identity"
10182,59370,2016,all countries,church,225,269843,0.0008338180000000001,6,553,549,"race, ethnicity and identity"
10183,59371,2017,all countries,church,216,312298,0.000691647,6,553,549,"race, ethnicity and identity"
10184,59372,2018,all countries,church,279,352387,0.000791743,6,553,549,"race, ethnicity and identity"
10185,59373,2019,all countries,church,381,380716,0.001000746,6,553,549,"race, ethnicity and identity"
10186,59374,2020,all countries,church,204,381402,0.000534869,6,553,549,"race, ethnicity and identity"
10187,59375,2021,all countries,church,159,234227,0.0006788289999999999,6,553,549,"race, ethnicity and identity"
10188,59500,2010,all countries,girlfriend,36,35448,0.001015572,10,561,555,female stereotypes
10189,59501,2011,all countries,girlfriend,99,58436,0.001694161,10,561,555,female stereotypes
10190,59502,2012,all countries,girlfriend,120,94038,0.00127608,10,561,555,female stereotypes
10191,59503,2013,all countries,girlfriend,177,128387,0.001378644,10,561,555,female stereotypes
10192,59504,2014,all countries,girlfriend,264,171115,0.001542822,10,561,555,female stereotypes
10193,59505,2015,all countries,girlfriend,357,212576,0.001679399,10,561,555,female stereotypes
10194,59506,2016,all countries,girlfriend,453,269843,0.001678754,10,561,555,female stereotypes
10195,59507,2017,all countries,girlfriend,417,312298,0.001335263,10,561,555,female stereotypes
10196,59508,2018,all countries,girlfriend,405,352387,0.001149305,10,561,555,female stereotypes
10197,59509,2019,all countries,girlfriend,483,380716,0.001268662,10,561,555,female stereotypes
10198,59510,2020,all countries,girlfriend,456,381402,0.001195589,10,561,555,female stereotypes
10199,59511,2021,all countries,girlfriend,312,234227,0.001332041,10,561,555,female stereotypes
10212,59704,2010,all countries,weight,27,35448,0.0007616789999999999,6,574,574,female stereotypes
10213,59705,2011,all countries,weight,60,58436,0.001026764,6,574,574,female stereotypes
10214,59706,2012,all countries,weight,138,94038,0.001467492,6,574,574,female stereotypes
10215,59707,2013,all countries,weight,210,128387,0.00163568,6,574,574,female stereotypes
10216,59708,2014,all countries,weight,228,171115,0.001332437,6,574,574,female stereotypes
10217,59709,2015,all countries,weight,252,212576,0.001185458,6,574,574,female stereotypes
10218,59710,2016,all countries,weight,390,269843,0.001445285,6,574,574,female stereotypes
10219,59711,2017,all countries,weight,405,312298,0.001296838,6,574,574,female stereotypes
10220,59712,2018,all countries,weight,342,352387,0.000970524,6,574,574,female stereotypes
10221,59713,2019,all countries,weight,417,380716,0.001095305,6,574,574,female stereotypes
10222,59714,2020,all countries,weight,408,381402,0.001069737,6,574,574,female stereotypes
10223,59715,2021,all countries,weight,222,234227,0.000947799,6,574,574,female stereotypes
10224,59806,2010,all countries,blood,30,35448,0.00084631,5,582,582,crime and violence
10225,59807,2011,all countries,blood,45,58436,0.000770073,5,582,582,crime and violence
10226,59808,2012,all countries,blood,81,94038,0.0008613539999999999,5,582,582,crime and violence
10227,59809,2013,all countries,blood,87,128387,0.000677639,5,582,582,crime and violence
10228,59810,2014,all countries,blood,93,171115,0.000543494,5,582,582,crime and violence
10229,59811,2015,all countries,blood,186,212576,0.000874981,5,582,582,crime and violence
10230,59812,2016,all countries,blood,189,269843,0.000700407,5,582,582,crime and violence
10231,59813,2017,all countries,blood,213,312298,0.0006820410000000001,5,582,582,crime and violence
10232,59814,2018,all countries,blood,264,352387,0.000749176,5,582,582,crime and violence
10233,59815,2019,all countries,blood,333,380716,0.000874668,5,582,582,crime and violence
10234,59816,2020,all countries,blood,213,381402,0.000558466,5,582,582,crime and violence
10235,59817,2021,all countries,blood,240,234227,0.001024647,5,582,582,crime and violence
10248,59891,2010,all countries,career,48,35448,0.0013540960000000002,6,589,585,empowerment
10249,59892,2011,all countries,career,90,58436,0.001540146,6,589,585,empowerment
10250,59893,2012,all countries,career,225,94038,0.00239265,6,589,585,empowerment
10251,59894,2013,all countries,career,225,128387,0.001752514,6,589,585,empowerment
10252,59895,2014,all countries,career,264,171115,0.001542822,6,589,585,empowerment
10253,59896,2015,all countries,career,363,212576,0.001707625,6,589,585,empowerment
10254,59897,2016,all countries,career,447,269843,0.001656519,6,589,585,empowerment
10255,59898,2017,all countries,career,516,312298,0.001652268,6,589,585,empowerment
10256,59899,2018,all countries,career,645,352387,0.001830374,6,589,585,empowerment
10257,59900,2019,all countries,career,642,380716,0.001686296,6,589,585,empowerment
10258,59901,2020,all countries,career,612,381402,0.001604606,6,589,585,empowerment
10259,59902,2021,all countries,career,378,234227,0.0016138189999999998,6,589,585,empowerment
10260,59959,2010,all countries,marry,84,35448,0.002369668,5,593,592,female stereotypes
10261,59960,2011,all countries,marry,198,58436,0.003388322,5,593,592,female stereotypes
10262,59961,2012,all countries,marry,201,94038,0.002137434,5,593,592,female stereotypes
10263,59962,2013,all countries,marry,321,128387,0.002500253,5,593,592,female stereotypes
10264,59963,2014,all countries,marry,480,171115,0.002805131,5,593,592,female stereotypes
10265,59964,2015,all countries,marry,591,212576,0.002780182,5,593,592,female stereotypes
10266,59965,2016,all countries,marry,636,269843,0.002356926,5,593,592,female stereotypes
10267,59966,2017,all countries,marry,789,312298,0.002526433,5,593,592,female stereotypes
10268,59967,2018,all countries,marry,972,352387,0.002758331,5,593,592,female stereotypes
10269,59968,2019,all countries,marry,1008,380716,0.002647643,5,593,592,female stereotypes
10270,59969,2020,all countries,marry,807,381402,0.002115878,5,593,592,female stereotypes
10271,59970,2021,all countries,marry,648,234227,0.0027665470000000003,5,593,592,female stereotypes
10272,60027,2010,all countries,death,297,35448,0.00837847,5,597,595,crime and violence
10273,60028,2011,all countries,death,423,58436,0.007238688,5,597,595,crime and violence
10274,60029,2012,all countries,death,768,94038,0.008166910999999999,5,597,595,crime and violence
10275,60030,2013,all countries,death,1257,128387,0.009790711,5,597,595,crime and violence
10276,60031,2014,all countries,death,1755,171115,0.01025626,5,597,595,crime and violence
10277,60032,2015,all countries,death,1869,212576,0.00879215,5,597,595,crime and violence
10278,60033,2016,all countries,death,2304,269843,0.008538298,5,597,595,crime and violence
10279,60034,2017,all countries,death,2541,312298,0.008136459,5,597,595,crime and violence
10280,60035,2018,all countries,death,2934,352387,0.008326073,5,597,595,crime and violence
10281,60036,2019,all countries,death,3558,380716,0.009345549,5,597,595,crime and violence
10282,60037,2020,all countries,death,3648,381402,0.009564711,5,597,595,crime and violence
10283,60038,2021,all countries,death,2259,234227,0.00964449,5,597,595,crime and violence
10284,60061,2010,all countries,child,222,35448,0.006262695,5,599,597,female stereotypes
10285,60062,2011,all countries,child,354,58436,0.00605791,5,599,597,female stereotypes
10286,60063,2012,all countries,child,618,94038,0.006571811,5,599,597,female stereotypes
10287,60064,2013,all countries,child,834,128387,0.006495985,5,599,597,female stereotypes
10288,60065,2014,all countries,child,1257,171115,0.0073459369999999986,5,599,597,female stereotypes
10289,60066,2015,all countries,child,1527,212576,0.007183313,5,599,597,female stereotypes
10290,60067,2016,all countries,child,1896,269843,0.007026308,5,599,597,female stereotypes
10291,60068,2017,all countries,child,2154,312298,0.006897258000000001,5,599,597,female stereotypes
10292,60069,2018,all countries,child,2568,352387,0.007287442,5,599,597,female stereotypes
10293,60070,2019,all countries,child,3018,380716,0.007927169,5,599,597,female stereotypes
10294,60071,2020,all countries,child,2985,381402,0.007826388,5,599,597,female stereotypes
10295,60072,2021,all countries,child,1686,234227,0.007198145,5,599,597,female stereotypes
10296,60214,2010,all countries,princess,27,35448,0.0007616789999999999,8,608,604,female stereotypes
10297,60215,2011,all countries,princess,72,58436,0.001232117,8,608,604,female stereotypes
10298,60216,2012,all countries,princess,60,94038,0.00063804,8,608,604,female stereotypes
10299,60217,2013,all countries,princess,171,128387,0.001331911,8,608,604,female stereotypes
10300,60218,2014,all countries,princess,114,171115,0.0006662189999999999,8,608,604,female stereotypes
10301,60219,2015,all countries,princess,189,212576,0.000889094,8,608,604,female stereotypes
10302,60220,2016,all countries,princess,258,269843,0.000956112,8,608,604,female stereotypes
10303,60221,2017,all countries,princess,531,312298,0.001700299,8,608,604,female stereotypes
10304,60222,2018,all countries,princess,456,352387,0.001294032,8,608,604,female stereotypes
10305,60223,2019,all countries,princess,453,380716,0.001189863,8,608,604,female stereotypes
10306,60224,2020,all countries,princess,540,381402,0.001415829,8,608,604,female stereotypes
10307,60225,2021,all countries,princess,201,234227,0.000858142,8,608,604,female stereotypes
10332,60469,2010,all countries,mom,162,35448,0.004570074,3,623,620,female stereotypes
10333,60470,2011,all countries,mom,321,58436,0.005493189,3,623,620,female stereotypes
10334,60471,2012,all countries,mom,579,94038,0.006157085,3,623,620,female stereotypes
10335,60472,2013,all countries,mom,633,128387,0.004930406,3,623,620,female stereotypes
10336,60473,2014,all countries,mom,774,171115,0.004523274,3,623,620,female stereotypes
10337,60474,2015,all countries,mom,1158,212576,0.0054474630000000005,3,623,620,female stereotypes
10338,60475,2016,all countries,mom,1410,269843,0.005225261,3,623,620,female stereotypes
10339,60476,2017,all countries,mom,1725,312298,0.00552357,3,623,620,female stereotypes
10340,60477,2018,all countries,mom,2019,352387,0.005729496,3,623,620,female stereotypes
10341,60478,2019,all countries,mom,2091,380716,0.005492283000000001,3,623,620,female stereotypes
10342,60479,2020,all countries,mom,2301,381402,0.006033005,3,623,620,female stereotypes
10343,60480,2021,all countries,mom,1152,234227,0.004918306,3,623,620,female stereotypes
10356,60520,2010,all countries,investigate,21,35448,0.0005924169999999999,11,626,628,crime and violence
10357,60521,2011,all countries,investigate,6,58436,0.000102676,11,626,628,crime and violence
10358,60522,2012,all countries,investigate,18,94038,0.000191412,11,626,628,crime and violence
10359,60523,2013,all countries,investigate,42,128387,0.000327136,11,626,628,crime and violence
10360,60524,2014,all countries,investigate,99,171115,0.0005785580000000001,11,626,628,crime and violence
10361,60525,2015,all countries,investigate,96,212576,0.000451603,11,626,628,crime and violence
10362,60526,2016,all countries,investigate,105,269843,0.000389115,11,626,628,crime and violence
10363,60527,2017,all countries,investigate,159,312298,0.000509129,11,626,628,crime and violence
10364,60528,2018,all countries,investigate,126,352387,0.000357561,11,626,628,crime and violence
10365,60529,2019,all countries,investigate,231,380716,0.000606751,11,626,628,crime and violence
10366,60530,2020,all countries,investigate,195,381402,0.000511272,11,626,628,crime and violence
10367,60531,2021,all countries,investigate,147,234227,0.000627596,11,626,628,crime and violence
10368,60588,2010,all countries,knife,24,35448,0.0006770480000000001,5,630,632,crime and violence
10369,60589,2011,all countries,knife,27,58436,0.000462044,5,630,632,crime and violence
10370,60590,2012,all countries,knife,63,94038,0.000669942,5,630,632,crime and violence
10371,60591,2013,all countries,knife,96,128387,0.000747739,5,630,632,crime and violence
10372,60592,2014,all countries,knife,120,171115,0.000701283,5,630,632,crime and violence
10373,60593,2015,all countries,knife,123,212576,0.000578617,5,630,632,crime and violence
10374,60594,2016,all countries,knife,147,269843,0.0005447609999999999,5,630,632,crime and violence
10375,60595,2017,all countries,knife,195,312298,0.0006244040000000001,5,630,632,crime and violence
10376,60596,2018,all countries,knife,258,352387,0.00073215,5,630,632,crime and violence
10377,60597,2019,all countries,knife,285,380716,0.0007485889999999999,5,630,632,crime and violence
10378,60598,2020,all countries,knife,258,381402,0.000676452,5,630,632,crime and violence
10379,60599,2021,all countries,knife,165,234227,0.000704445,5,630,632,crime and violence
10380,60639,2010,all countries,lawyer,36,35448,0.001015572,6,633,633,empowerment
10381,60640,2011,all countries,lawyer,57,58436,0.000975426,6,633,633,empowerment
10382,60641,2012,all countries,lawyer,84,94038,0.000893256,6,633,633,empowerment
10383,60642,2013,all countries,lawyer,117,128387,0.000911307,6,633,633,empowerment
10384,60643,2014,all countries,lawyer,132,171115,0.0007714110000000001,6,633,633,empowerment
10385,60644,2015,all countries,lawyer,177,212576,0.000832643,6,633,633,empowerment
10386,60645,2016,all countries,lawyer,192,269843,0.000711525,6,633,633,empowerment
10387,60646,2017,all countries,lawyer,234,312298,0.0007492839999999999,6,633,633,empowerment
10388,60647,2018,all countries,lawyer,306,352387,0.000868363,6,633,633,empowerment
10389,60648,2019,all countries,lawyer,432,380716,0.0011347039999999998,6,633,633,empowerment
10390,60649,2020,all countries,lawyer,384,381402,0.001006812,6,633,633,empowerment
10391,60650,2021,all countries,lawyer,246,234227,0.001050263,6,633,633,empowerment
10416,60843,2010,all countries,force,87,35448,0.002454299,5,645,643,crime and violence
10417,60844,2011,all countries,force,105,58436,0.0017968379999999996,5,645,643,crime and violence
10418,60845,2012,all countries,force,180,94038,0.00191412,5,645,643,crime and violence
10419,60846,2013,all countries,force,333,128387,0.002593721,5,645,643,crime and violence
10420,60847,2014,all countries,force,462,171115,0.002699939,5,645,643,crime and violence
10421,60848,2015,all countries,force,684,212576,0.003217673,5,645,643,crime and violence
10422,60849,2016,all countries,force,825,269843,0.003057333,5,645,643,crime and violence
10423,60850,2017,all countries,force,1032,312298,0.003304536,5,645,643,crime and violence
10424,60851,2018,all countries,force,1065,352387,0.003022245,5,645,643,crime and violence
10425,60852,2019,all countries,force,1164,380716,0.0030573970000000003,5,645,643,crime and violence
10426,60853,2020,all countries,force,1254,381402,0.003287869,5,645,643,crime and violence
10427,60854,2021,all countries,force,567,234227,0.002420729,5,645,643,crime and violence
10428,60928,2010,all countries,power,57,35448,0.001607989,5,652,649,empowerment
10429,60929,2011,all countries,power,87,58436,0.001488808,5,652,649,empowerment
10430,60930,2012,all countries,power,180,94038,0.00191412,5,652,649,empowerment
10431,60931,2013,all countries,power,255,128387,0.001986182,5,652,649,empowerment
10432,60932,2014,all countries,power,345,171115,0.002016188,5,652,649,empowerment
10433,60933,2015,all countries,power,456,212576,0.002145115,5,652,649,empowerment
10434,60934,2016,all countries,power,531,269843,0.001967811,5,652,649,empowerment
10435,60935,2017,all countries,power,768,312298,0.00245919,5,652,649,empowerment
10436,60936,2018,all countries,power,900,352387,0.00255401,5,652,649,empowerment
10437,60937,2019,all countries,power,846,380716,0.002222129,5,652,649,empowerment
10438,60938,2020,all countries,power,753,381402,0.001974295,5,652,649,empowerment
10439,60939,2021,all countries,power,369,234227,0.001575395,5,652,649,empowerment
10440,60996,2010,all countries,relationship,42,35448,0.0011848339999999998,12,656,653,female stereotypes
10441,60997,2011,all countries,relationship,60,58436,0.001026764,12,656,653,female stereotypes
10442,60998,2012,all countries,relationship,90,94038,0.00095706,12,656,653,female stereotypes
10443,60999,2013,all countries,relationship,105,128387,0.00081784,12,656,653,female stereotypes
10444,61000,2014,all countries,relationship,225,171115,0.001314905,12,656,653,female stereotypes
10445,61001,2015,all countries,relationship,273,212576,0.001284247,12,656,653,female stereotypes
10446,61002,2016,all countries,relationship,390,269843,0.001445285,12,656,653,female stereotypes
10447,61003,2017,all countries,relationship,474,312298,0.0015177810000000002,12,656,653,female stereotypes
10448,61004,2018,all countries,relationship,501,352387,0.0014217320000000002,12,656,653,female stereotypes
10449,61005,2019,all countries,relationship,552,380716,0.0014499,12,656,653,female stereotypes
10450,61006,2020,all countries,relationship,603,381402,0.001581009,12,656,653,female stereotypes
10451,61007,2021,all countries,relationship,270,234227,0.001152728,12,656,653,female stereotypes
10452,61013,2010,all countries,burn,36,35448,0.001015572,4,657,657,crime and violence
10453,61014,2011,all countries,burn,75,58436,0.001283455,4,657,657,crime and violence
10454,61015,2012,all countries,burn,105,94038,0.00111657,4,657,657,crime and violence
10455,61016,2013,all countries,burn,150,128387,0.001168343,4,657,657,crime and violence
10456,61017,2014,all countries,burn,240,171115,0.001402566,4,657,657,crime and violence
10457,61018,2015,all countries,burn,345,212576,0.001622949,4,657,657,crime and violence
10458,61019,2016,all countries,burn,450,269843,0.001667636,4,657,657,crime and violence
10459,61020,2017,all countries,burn,603,312298,0.001930848,4,657,657,crime and violence
10460,61021,2018,all countries,burn,612,352387,0.0017367270000000002,4,657,657,crime and violence
10461,61022,2019,all countries,burn,741,380716,0.001946333,4,657,657,crime and violence
10462,61023,2020,all countries,burn,561,381402,0.001470889,4,657,657,crime and violence
10463,61024,2021,all countries,burn,231,234227,0.000986223,4,657,657,crime and violence
10464,61132,2010,all countries,murder,273,35448,0.007701421999999999,6,664,656,crime and violence
10465,61133,2011,all countries,murder,327,58436,0.005595866,6,664,656,crime and violence
10466,61134,2012,all countries,murder,573,94038,0.006093281,6,664,656,crime and violence
10467,61135,2013,all countries,murder,831,128387,0.006472618,6,664,656,crime and violence
10468,61136,2014,all countries,murder,1182,171115,0.006907635,6,664,656,crime and violence
10469,61137,2015,all countries,murder,1071,212576,0.005038198,6,664,656,crime and violence
10470,61138,2016,all countries,murder,1845,269843,0.006837309000000001,6,664,656,crime and violence
10471,61139,2017,all countries,murder,2100,312298,0.006724347,6,664,656,crime and violence
10472,61140,2018,all countries,murder,2352,352387,0.00667448,6,664,656,crime and violence
10473,61141,2019,all countries,murder,3009,380716,0.007903529,6,664,656,crime and violence
10474,61142,2020,all countries,murder,3072,381402,0.008054494,6,664,656,crime and violence
10475,61143,2021,all countries,murder,1737,234227,0.007415883000000002,6,664,656,crime and violence
10476,61302,2010,all countries,shame,21,35448,0.0005924169999999999,5,674,675,female stereotypes
10477,61303,2011,all countries,shame,18,58436,0.00030802900000000003,5,674,675,female stereotypes
10478,61304,2012,all countries,shame,39,94038,0.000414726,5,674,675,female stereotypes
10479,61305,2013,all countries,shame,51,128387,0.000397236,5,674,675,female stereotypes
10480,61306,2014,all countries,shame,93,171115,0.000543494,5,674,675,female stereotypes
10481,61307,2015,all countries,shame,237,212576,0.001114895,5,674,675,female stereotypes
10482,61308,2016,all countries,shame,306,269843,0.001133993,5,674,675,female stereotypes
10483,61309,2017,all countries,shame,402,312298,0.001287232,5,674,675,female stereotypes
10484,61310,2018,all countries,shame,441,352387,0.001251465,5,674,675,female stereotypes
10485,61311,2019,all countries,shame,342,380716,0.000898307,5,674,675,female stereotypes
10486,61312,2020,all countries,shame,219,381402,0.0005741969999999999,5,674,675,female stereotypes
10487,61313,2021,all countries,shame,132,234227,0.000563556,5,674,675,female stereotypes
10488,61353,2010,all countries,abortion,24,35448,0.0006770480000000001,8,677,676,empowerment
10489,61354,2011,all countries,abortion,36,58436,0.000616059,8,677,676,empowerment
10490,61355,2012,all countries,abortion,108,94038,0.001148472,8,677,676,empowerment
10491,61356,2013,all countries,abortion,108,128387,0.000841207,8,677,676,empowerment
10492,61357,2014,all countries,abortion,201,171115,0.001174649,8,677,676,empowerment
10493,61358,2015,all countries,abortion,228,212576,0.001072558,8,677,676,empowerment
10494,61359,2016,all countries,abortion,525,269843,0.001945576,8,677,676,empowerment
10495,61360,2017,all countries,abortion,393,312298,0.001258413,8,677,676,empowerment
10496,61361,2018,all countries,abortion,420,352387,0.0011918710000000002,8,677,676,empowerment
10497,61362,2019,all countries,abortion,696,380716,0.001828134,8,677,676,empowerment
10498,61363,2020,all countries,abortion,384,381402,0.001006812,8,677,676,empowerment
10499,61364,2021,all countries,abortion,150,234227,0.000640404,8,677,676,empowerment
10512,61557,2010,all countries,boss,63,35448,0.001777251,4,689,686,empowerment
10513,61558,2011,all countries,boss,60,58436,0.001026764,4,689,686,empowerment
10514,61559,2012,all countries,boss,129,94038,0.001371786,4,689,686,empowerment
10515,61560,2013,all countries,boss,168,128387,0.001308544,4,689,686,empowerment
10516,61561,2014,all countries,boss,231,171115,0.001349969,4,689,686,empowerment
10517,61562,2015,all countries,boss,375,212576,0.001764075,4,689,686,empowerment
10518,61563,2016,all countries,boss,351,269843,0.001300756,4,689,686,empowerment
10519,61564,2017,all countries,boss,483,312298,0.0015466,4,689,686,empowerment
10520,61565,2018,all countries,boss,525,352387,0.001489839,4,689,686,empowerment
10521,61566,2019,all countries,boss,513,380716,0.001347461,4,689,686,empowerment
10522,61567,2020,all countries,boss,588,381402,0.00154168,4,689,686,empowerment
10523,61568,2021,all countries,boss,384,234227,0.001639435,4,689,686,empowerment
10536,61812,2010,all countries,victim,78,35448,0.002200406,6,704,693,female stereotypes
10537,61813,2011,all countries,victim,126,58436,0.002156205,6,704,693,female stereotypes
10538,61814,2012,all countries,victim,255,94038,0.00271167,6,704,693,female stereotypes
10539,61815,2013,all countries,victim,426,128387,0.003318093,6,704,693,female stereotypes
10540,61816,2014,all countries,victim,426,171115,0.002489554,6,704,693,female stereotypes
10541,61817,2015,all countries,victim,495,212576,0.002328579,6,704,693,female stereotypes
10542,61818,2016,all countries,victim,633,269843,0.002345808,6,704,693,female stereotypes
10543,61819,2017,all countries,victim,900,312298,0.002881863,6,704,693,female stereotypes
10544,61820,2018,all countries,victim,894,352387,0.002536983,6,704,693,female stereotypes
10545,61821,2019,all countries,victim,894,380716,0.002348207,6,704,693,female stereotypes
10546,61822,2020,all countries,victim,804,381402,0.0021080120000000003,6,704,693,female stereotypes
10547,61823,2021,all countries,victim,465,234227,0.001985254,6,704,693,female stereotypes
10548,61999,2010,all countries,survive,39,35448,0.001100203,7,715,710,empowerment
10549,62000,2011,all countries,survive,54,58436,0.000924088,7,715,710,empowerment
10550,62001,2012,all countries,survive,99,94038,0.001052766,7,715,710,empowerment
10551,62002,2013,all countries,survive,147,128387,0.001144976,7,715,710,empowerment
10552,62003,2014,all countries,survive,234,171115,0.001367501,7,715,710,empowerment
10553,62004,2015,all countries,survive,249,212576,0.001171346,7,715,710,empowerment
10554,62005,2016,all countries,survive,204,269843,0.000755995,7,715,710,empowerment
10555,62006,2017,all countries,survive,384,312298,0.001229595,7,715,710,empowerment
10556,62007,2018,all countries,survive,387,352387,0.001098224,7,715,710,empowerment
10557,62008,2019,all countries,survive,354,380716,0.000929827,7,715,710,empowerment
10558,62009,2020,all countries,survive,435,381402,0.001140529,7,715,710,empowerment
10559,62010,2021,all countries,survive,225,234227,0.000960607,7,715,710,empowerment
10572,62186,2010,all countries,divorce,51,35448,0.001438727,7,727,725,female stereotypes
10573,62187,2011,all countries,divorce,75,58436,0.001283455,7,727,725,female stereotypes
10574,62188,2012,all countries,divorce,156,94038,0.001658904,7,727,725,female stereotypes
10575,62189,2013,all countries,divorce,165,128387,0.001285177,7,727,725,female stereotypes
10576,62190,2014,all countries,divorce,198,171115,0.001157117,7,727,725,female stereotypes
10577,62191,2015,all countries,divorce,228,212576,0.001072558,7,727,725,female stereotypes
10578,62192,2016,all countries,divorce,309,269843,0.00114511,7,727,725,female stereotypes
10579,62193,2017,all countries,divorce,240,312298,0.0007684969999999999,7,727,725,female stereotypes
10580,62194,2018,all countries,divorce,348,352387,0.000987551,7,727,725,female stereotypes
10581,62195,2019,all countries,divorce,426,380716,0.001118944,7,727,725,female stereotypes
10582,62196,2020,all countries,divorce,420,381402,0.0011012,7,727,725,female stereotypes
10583,62197,2021,all countries,divorce,279,234227,0.001191152,7,727,725,female stereotypes
10584,62203,2010,all countries,artist,36,35448,0.001015572,6,728,728,empowerment
10585,62204,2011,all countries,artist,57,58436,0.000975426,6,728,728,empowerment
10586,62205,2012,all countries,artist,102,94038,0.001084668,6,728,728,empowerment
10587,62206,2013,all countries,artist,138,128387,0.001074875,6,728,728,empowerment
10588,62207,2014,all countries,artist,255,171115,0.001490226,6,728,728,empowerment
10589,62208,2015,all countries,artist,336,212576,0.001580611,6,728,728,empowerment
10590,62209,2016,all countries,artist,435,269843,0.0016120479999999998,6,728,728,empowerment
10591,62210,2017,all countries,artist,459,312298,0.00146975,6,728,728,empowerment
10592,62211,2018,all countries,artist,504,352387,0.001430246,6,728,728,empowerment
10593,62212,2019,all countries,artist,495,380716,0.001300182,6,728,728,empowerment
10594,62213,2020,all countries,artist,528,381402,0.0013843660000000002,6,728,728,empowerment
10595,62214,2021,all countries,artist,195,234227,0.0008325260000000001,6,728,728,empowerment
10620,62390,2010,all countries,award,78,35448,0.002200406,5,740,737,empowerment
10621,62391,2011,all countries,award,180,58436,0.003080293,5,740,737,empowerment
10622,62392,2012,all countries,award,162,94038,0.001722708,5,740,737,empowerment
10623,62393,2013,all countries,award,345,128387,0.002687188,5,740,737,empowerment
10624,62394,2014,all countries,award,330,171115,0.001928528,5,740,737,empowerment
10625,62395,2015,all countries,award,624,212576,0.002935421,5,740,737,empowerment
10626,62396,2016,all countries,award,621,269843,0.002301338,5,740,737,empowerment
10627,62397,2017,all countries,award,666,312298,0.002132578,5,740,737,empowerment
10628,62398,2018,all countries,award,735,352387,0.002085775,5,740,737,empowerment
10629,62399,2019,all countries,award,1101,380716,0.002891919,5,740,737,empowerment
10630,62400,2020,all countries,award,813,381402,0.002131609,5,740,737,empowerment
10631,62401,2021,all countries,award,408,234227,0.0017419,5,740,737,empowerment
10632,62407,2010,all countries,married,27,35448,0.0007616789999999999,7,741,742,female stereotypes
10633,62408,2011,all countries,married,30,58436,0.0005133819999999999,7,741,742,female stereotypes
10634,62409,2012,all countries,married,84,94038,0.000893256,7,741,742,female stereotypes
10635,62410,2013,all countries,married,69,128387,0.000537438,7,741,742,female stereotypes
10636,62411,2014,all countries,married,111,171115,0.000648687,7,741,742,female stereotypes
10637,62412,2015,all countries,married,117,212576,0.000550391,7,741,742,female stereotypes
10638,62413,2016,all countries,married,231,269843,0.0008560530000000001,7,741,742,female stereotypes
10639,62414,2017,all countries,married,198,312298,0.00063401,7,741,742,female stereotypes
10640,62415,2018,all countries,married,276,352387,0.00078323,7,741,742,female stereotypes
10641,62416,2019,all countries,married,222,380716,0.000583112,7,741,742,female stereotypes
10642,62417,2020,all countries,married,198,381402,0.0005191369999999999,7,741,742,female stereotypes
10643,62418,2021,all countries,married,141,234227,0.00060198,7,741,742,female stereotypes
10644,62526,2010,all countries,beautiful,57,35448,0.001607989,9,748,746,female stereotypes
10645,62527,2011,all countries,beautiful,81,58436,0.0013861320000000002,9,748,746,female stereotypes
10646,62528,2012,all countries,beautiful,156,94038,0.001658904,9,748,746,female stereotypes
10647,62529,2013,all countries,beautiful,231,128387,0.0017992479999999996,9,748,746,female stereotypes
10648,62530,2014,all countries,beautiful,219,171115,0.001279841,9,748,746,female stereotypes
10649,62531,2015,all countries,beautiful,366,212576,0.001721737,9,748,746,female stereotypes
10650,62532,2016,all countries,beautiful,411,269843,0.0015231079999999998,9,748,746,female stereotypes
10651,62533,2017,all countries,beautiful,465,312298,0.001488962,9,748,746,female stereotypes
10652,62534,2018,all countries,beautiful,381,352387,0.001081198,9,748,746,female stereotypes
10653,62535,2019,all countries,beautiful,390,380716,0.001024386,9,748,746,female stereotypes
10654,62536,2020,all countries,beautiful,327,381402,0.000857363,9,748,746,female stereotypes
10655,62537,2021,all countries,beautiful,291,234227,0.001242385,9,748,746,female stereotypes
10656,62577,2010,all countries,fear,75,35448,0.002115775,4,751,749,female stereotypes
10657,62578,2011,all countries,fear,78,58436,0.001334794,4,751,749,female stereotypes
10658,62579,2012,all countries,fear,132,94038,0.001403688,4,751,749,female stereotypes
10659,62580,2013,all countries,fear,150,128387,0.001168343,4,751,749,female stereotypes
10660,62581,2014,all countries,fear,195,171115,0.001139584,4,751,749,female stereotypes
10661,62582,2015,all countries,fear,345,212576,0.001622949,4,751,749,female stereotypes
10662,62583,2016,all countries,fear,417,269843,0.0015453429999999998,4,751,749,female stereotypes
10663,62584,2017,all countries,fear,435,312298,0.0013929,4,751,749,female stereotypes
10664,62585,2018,all countries,fear,552,352387,0.00156646,4,751,749,female stereotypes
10665,62586,2019,all countries,fear,546,380716,0.00143414,4,751,749,female stereotypes
10666,62587,2020,all countries,fear,777,381402,0.002037221,4,751,749,female stereotypes
10667,62588,2021,all countries,fear,381,234227,0.001626627,4,751,749,female stereotypes
10668,62611,2010,all countries,doctor,99,35448,0.002792823,6,753,753,empowerment
10669,62612,2011,all countries,doctor,93,58436,0.001591485,6,753,753,empowerment
10670,62613,2012,all countries,doctor,198,94038,0.002105532,6,753,753,empowerment
10671,62614,2013,all countries,doctor,306,128387,0.002383419,6,753,753,empowerment
10672,62615,2014,all countries,doctor,357,171115,0.002086316,6,753,753,empowerment
10673,62616,2015,all countries,doctor,423,212576,0.001989877,6,753,753,empowerment
10674,62617,2016,all countries,doctor,657,269843,0.002434749,6,753,753,empowerment
10675,62618,2017,all countries,doctor,1032,312298,0.003304536,6,753,753,empowerment
10676,62619,2018,all countries,doctor,966,352387,0.0027413040000000004,6,753,753,empowerment
10677,62620,2019,all countries,doctor,954,380716,0.002505805,6,753,753,empowerment
10678,62621,2020,all countries,doctor,999,381402,0.002619284,6,753,753,empowerment
10679,62622,2021,all countries,doctor,495,234227,0.002113335,6,753,753,empowerment
10704,62900,2010,all countries,wife,186,35448,0.005247123,4,771,769,female stereotypes
10705,62901,2011,all countries,wife,318,58436,0.005441851,4,771,769,female stereotypes
10706,62902,2012,all countries,wife,414,94038,0.004402476,4,771,769,female stereotypes
10707,62903,2013,all countries,wife,519,128387,0.004042465,4,771,769,female stereotypes
10708,62904,2014,all countries,wife,675,171115,0.003944716,4,771,769,female stereotypes
10709,62905,2015,all countries,wife,855,212576,0.004022090999999999,4,771,769,female stereotypes
10710,62906,2016,all countries,wife,834,269843,0.003090686,4,771,769,female stereotypes
10711,62907,2017,all countries,wife,1155,312298,0.003698391,4,771,769,female stereotypes
10712,62908,2018,all countries,wife,1359,352387,0.003856555,4,771,769,female stereotypes
10713,62909,2019,all countries,wife,1413,380716,0.003711428,4,771,769,female stereotypes
10714,62910,2020,all countries,wife,1449,381402,0.003799141,4,771,769,female stereotypes
10715,62911,2021,all countries,wife,882,234227,0.003765578,4,771,769,female stereotypes
10740,63070,2010,all countries,famous,36,35448,0.001015572,6,781,781,empowerment
10741,63071,2011,all countries,famous,33,58436,0.00056472,6,781,781,empowerment
10742,63072,2012,all countries,famous,69,94038,0.0007337460000000001,6,781,781,empowerment
10743,63073,2013,all countries,famous,117,128387,0.000911307,6,781,781,empowerment
10744,63074,2014,all countries,famous,120,171115,0.000701283,6,781,781,empowerment
10745,63075,2015,all countries,famous,210,212576,0.000987882,6,781,781,empowerment
10746,63076,2016,all countries,famous,228,269843,0.000844936,6,781,781,empowerment
10747,63077,2017,all countries,famous,207,312298,0.0006628280000000001,6,781,781,empowerment
10748,63078,2018,all countries,famous,222,352387,0.000629989,6,781,781,empowerment
10749,63079,2019,all countries,famous,204,380716,0.000535832,6,781,781,empowerment
10750,63080,2020,all countries,famous,246,381402,0.000644989,6,781,781,empowerment
10751,63081,2021,all countries,famous,162,234227,0.0006916369999999999,6,781,781,empowerment
10752,63104,2010,all countries,success,24,35448,0.0006770480000000001,7,783,783,empowerment
10753,63105,2011,all countries,success,33,58436,0.00056472,7,783,783,empowerment
10754,63106,2012,all countries,success,72,94038,0.0007656480000000001,7,783,783,empowerment
10755,63107,2013,all countries,success,99,128387,0.000771106,7,783,783,empowerment
10756,63108,2014,all countries,success,171,171115,0.000999328,7,783,783,empowerment
10757,63109,2015,all countries,success,177,212576,0.000832643,7,783,783,empowerment
10758,63110,2016,all countries,success,204,269843,0.000755995,7,783,783,empowerment
10759,63111,2017,all countries,success,276,312298,0.0008837710000000002,7,783,783,empowerment
10760,63112,2018,all countries,success,309,352387,0.000876877,7,783,783,empowerment
10761,63113,2019,all countries,success,351,380716,0.000921947,7,783,783,empowerment
10762,63114,2020,all countries,success,207,381402,0.000542734,7,783,783,empowerment
10763,63115,2021,all countries,success,108,234227,0.000461091,7,783,783,empowerment
10788,63342,2010,all countries,trafficking,12,35448,0.00033852400000000004,11,797,799,crime and violence
10789,63343,2011,all countries,trafficking,6,58436,0.000102676,11,797,799,crime and violence
10790,63344,2012,all countries,trafficking,6,94038,6.38e-05,11,797,799,crime and violence
10791,63345,2013,all countries,trafficking,21,128387,0.000163568,11,797,799,crime and violence
10792,63346,2014,all countries,trafficking,39,171115,0.000227917,11,797,799,crime and violence
10793,63347,2015,all countries,trafficking,60,212576,0.000282252,11,797,799,crime and violence
10794,63348,2016,all countries,trafficking,75,269843,0.000277939,11,797,799,crime and violence
10795,63349,2017,all countries,trafficking,132,312298,0.000422673,11,797,799,crime and violence
10796,63350,2018,all countries,trafficking,108,352387,0.000306481,11,797,799,crime and violence
10797,63351,2019,all countries,trafficking,132,380716,0.000346715,11,797,799,crime and violence
10798,63352,2020,all countries,trafficking,117,381402,0.000306763,11,797,799,crime and violence
10799,63353,2021,all countries,trafficking,51,234227,0.000217737,11,797,799,crime and violence
10824,63410,2010,all countries,grope,18,35448,0.000507786,5,801,804,crime and violence
10825,63411,2011,all countries,grope,30,58436,0.0005133819999999999,5,801,804,crime and violence
10826,63412,2012,all countries,grope,45,94038,0.00047853,5,801,804,crime and violence
10827,63413,2013,all countries,grope,12,128387,9.35e-05,5,801,804,crime and violence
10828,63414,2014,all countries,grope,87,171115,0.00050843,5,801,804,crime and violence
10829,63415,2015,all countries,grope,66,212576,0.00031047700000000003,5,801,804,crime and violence
10830,63416,2016,all countries,grope,219,269843,0.000811583,5,801,804,crime and violence
10831,63417,2017,all countries,grope,405,312298,0.001296838,5,801,804,crime and violence
10832,63418,2018,all countries,grope,255,352387,0.000723636,5,801,804,crime and violence
10833,63419,2019,all countries,grope,225,380716,0.0005909919999999999,5,801,804,crime and violence
10834,63420,2020,all countries,grope,99,381402,0.000259569,5,801,804,crime and violence
10835,63421,2021,all countries,grope,75,234227,0.000320202,5,801,804,crime and violence
10836,63427,2010,all countries,guilty,63,35448,0.001777251,6,802,800,crime and violence
10837,63428,2011,all countries,guilty,51,58436,0.00087275,6,802,800,crime and violence
10838,63429,2012,all countries,guilty,165,94038,0.00175461,6,802,800,crime and violence
10839,63430,2013,all countries,guilty,204,128387,0.0015889460000000002,6,802,800,crime and violence
10840,63431,2014,all countries,guilty,240,171115,0.001402566,6,802,800,crime and violence
10841,63432,2015,all countries,guilty,258,212576,0.001213684,6,802,800,crime and violence
10842,63433,2016,all countries,guilty,351,269843,0.001300756,6,802,800,crime and violence
10843,63434,2017,all countries,guilty,387,312298,0.001239201,6,802,800,crime and violence
10844,63435,2018,all countries,guilty,375,352387,0.001064171,6,802,800,crime and violence
10845,63436,2019,all countries,guilty,429,380716,0.001126824,6,802,800,crime and violence
10846,63437,2020,all countries,guilty,312,381402,0.000818035,6,802,800,crime and violence
10847,63438,2021,all countries,guilty,261,234227,0.001114304,6,802,800,crime and violence
10848,63597,2010,all countries,chinese,39,35448,0.001100203,7,812,812,"race, ethnicity and identity"
10849,63598,2011,all countries,chinese,60,58436,0.001026764,7,812,812,"race, ethnicity and identity"
10850,63599,2012,all countries,chinese,111,94038,0.001180374,7,812,812,"race, ethnicity and identity"
10851,63600,2013,all countries,chinese,195,128387,0.001518845,7,812,812,"race, ethnicity and identity"
10852,63601,2014,all countries,chinese,186,171115,0.001086988,7,812,812,"race, ethnicity and identity"
10853,63602,2015,all countries,chinese,258,212576,0.001213684,7,812,812,"race, ethnicity and identity"
10854,63603,2016,all countries,chinese,225,269843,0.0008338180000000001,7,812,812,"race, ethnicity and identity"
10855,63604,2017,all countries,chinese,186,312298,0.000595585,7,812,812,"race, ethnicity and identity"
10856,63605,2018,all countries,chinese,255,352387,0.000723636,7,812,812,"race, ethnicity and identity"
10857,63606,2019,all countries,chinese,393,380716,0.001032266,7,812,812,"race, ethnicity and identity"
10858,63607,2020,all countries,chinese,327,381402,0.000857363,7,812,812,"race, ethnicity and identity"
10859,63608,2021,all countries,chinese,153,234227,0.000653212,7,812,812,"race, ethnicity and identity"
10860,63750,2010,all countries,beauty,54,35448,0.0015233579999999998,6,821,820,female stereotypes
10861,63751,2011,all countries,beauty,75,58436,0.001283455,6,821,820,female stereotypes
10862,63752,2012,all countries,beauty,123,94038,0.001307982,6,821,820,female stereotypes
10863,63753,2013,all countries,beauty,171,128387,0.001331911,6,821,820,female stereotypes
10864,63754,2014,all countries,beauty,306,171115,0.001788271,6,821,820,female stereotypes
10865,63755,2015,all countries,beauty,372,212576,0.001749962,6,821,820,female stereotypes
10866,63756,2016,all countries,beauty,387,269843,0.001434167,6,821,820,female stereotypes
10867,63757,2017,all countries,beauty,555,312298,0.001777149,6,821,820,female stereotypes
10868,63758,2018,all countries,beauty,483,352387,0.0013706520000000002,6,821,820,female stereotypes
10869,63759,2019,all countries,beauty,516,380716,0.001355341,6,821,820,female stereotypes
10870,63760,2020,all countries,beauty,402,381402,0.001054006,6,821,820,female stereotypes
10871,63761,2021,all countries,beauty,201,234227,0.000858142,6,821,820,female stereotypes
10920,64039,2010,all countries,cry,54,35448,0.0015233579999999998,3,838,837,female stereotypes
10921,64040,2011,all countries,cry,60,58436,0.001026764,3,838,837,female stereotypes
10922,64041,2012,all countries,cry,72,94038,0.0007656480000000001,3,838,837,female stereotypes
10923,64042,2013,all countries,cry,126,128387,0.000981408,3,838,837,female stereotypes
10924,64043,2014,all countries,cry,189,171115,0.00110452,3,838,837,female stereotypes
10925,64044,2015,all countries,cry,309,212576,0.001453598,3,838,837,female stereotypes
10926,64045,2016,all countries,cry,315,269843,0.001167345,3,838,837,female stereotypes
10927,64046,2017,all countries,cry,363,312298,0.001162351,3,838,837,female stereotypes
10928,64047,2018,all countries,cry,501,352387,0.0014217320000000002,3,838,837,female stereotypes
10929,64048,2019,all countries,cry,411,380716,0.001079545,3,838,837,female stereotypes
10930,64049,2020,all countries,cry,345,381402,0.000904557,3,838,837,female stereotypes
10931,64050,2021,all countries,cry,180,234227,0.000768485,3,838,837,female stereotypes
10932,64124,2010,all countries,molest,21,35448,0.0005924169999999999,6,844,844,crime and violence
10933,64125,2011,all countries,molest,15,58436,0.000256691,6,844,844,crime and violence
10934,64126,2012,all countries,molest,48,94038,0.000510432,6,844,844,crime and violence
10935,64127,2013,all countries,molest,48,128387,0.00037387,6,844,844,crime and violence
10936,64128,2014,all countries,molest,129,171115,0.0007538789999999999,6,844,844,crime and violence
10937,64129,2015,all countries,molest,90,212576,0.000423378,6,844,844,crime and violence
10938,64130,2016,all countries,molest,168,269843,0.000622584,6,844,844,crime and violence
10939,64131,2017,all countries,molest,288,312298,0.000922196,6,844,844,crime and violence
10940,64132,2018,all countries,molest,360,352387,0.001021604,6,844,844,crime and violence
10941,64133,2019,all countries,molest,210,380716,0.000551592,6,844,844,crime and violence
10942,64134,2020,all countries,molest,201,381402,0.0005270030000000001,6,844,844,crime and violence
10943,64135,2021,all countries,molest,69,234227,0.000294586,6,844,844,crime and violence
10944,64260,2010,all countries,muslim,102,35448,0.002877454,6,852,851,"race, ethnicity and identity"
10945,64261,2011,all countries,muslim,84,58436,0.00143747,6,852,851,"race, ethnicity and identity"
10946,64262,2012,all countries,muslim,147,94038,0.0015631979999999998,6,852,851,"race, ethnicity and identity"
10947,64263,2013,all countries,muslim,162,128387,0.00126181,6,852,851,"race, ethnicity and identity"
10948,64264,2014,all countries,muslim,267,171115,0.001560354,6,852,851,"race, ethnicity and identity"
10949,64265,2015,all countries,muslim,567,212576,0.002667281,6,852,851,"race, ethnicity and identity"
10950,64266,2016,all countries,muslim,1314,269843,0.004869498,6,852,851,"race, ethnicity and identity"
10951,64267,2017,all countries,muslim,1383,312298,0.004428463,6,852,851,"race, ethnicity and identity"
10952,64268,2018,all countries,muslim,993,352387,0.002817925,6,852,851,"race, ethnicity and identity"
10953,64269,2019,all countries,muslim,894,380716,0.002348207,6,852,851,"race, ethnicity and identity"
10954,64270,2020,all countries,muslim,654,381402,0.001714726,6,852,851,"race, ethnicity and identity"
10955,64271,2021,all countries,muslim,312,234227,0.001332041,6,852,851,"race, ethnicity and identity"
10956,64277,2010,all countries,love,333,35448,0.009394042,4,853,852,female stereotypes
10957,64278,2011,all countries,love,486,58436,0.008316791,4,853,852,female stereotypes
10958,64279,2012,all countries,love,690,94038,0.007337459,4,853,852,female stereotypes
10959,64280,2013,all countries,love,882,128387,0.006869854,4,853,852,female stereotypes
10960,64281,2014,all countries,love,1014,171115,0.0059258390000000005,4,853,852,female stereotypes
10961,64282,2015,all countries,love,1395,212576,0.006562359,4,853,852,female stereotypes
10962,64283,2016,all countries,love,1638,269843,0.006070196,4,853,852,female stereotypes
10963,64284,2017,all countries,love,1911,312298,0.006119155,4,853,852,female stereotypes
10964,64285,2018,all countries,love,2082,352387,0.005908276999999999,4,853,852,female stereotypes
10965,64286,2019,all countries,love,2148,380716,0.005642001,4,853,852,female stereotypes
10966,64287,2020,all countries,love,2193,381402,0.0057498390000000005,4,853,852,female stereotypes
10967,64288,2021,all countries,love,1014,234227,0.004329134,4,853,852,female stereotypes
10968,64294,2010,all countries,saudi,36,35448,0.001015572,5,854,854,"race, ethnicity and identity"
10969,64295,2011,all countries,saudi,105,58436,0.0017968379999999996,5,854,854,"race, ethnicity and identity"
10970,64296,2012,all countries,saudi,207,94038,0.002201238,5,854,854,"race, ethnicity and identity"
10971,64297,2013,all countries,saudi,201,128387,0.001565579,5,854,854,"race, ethnicity and identity"
10972,64298,2014,all countries,saudi,108,171115,0.000631154,5,854,854,"race, ethnicity and identity"
10973,64299,2015,all countries,saudi,330,212576,0.001552386,5,854,854,"race, ethnicity and identity"
10974,64300,2016,all countries,saudi,285,269843,0.00105617,5,854,854,"race, ethnicity and identity"
10975,64301,2017,all countries,saudi,723,312298,0.002315096,5,854,854,"race, ethnicity and identity"
10976,64302,2018,all countries,saudi,888,352387,0.002519957,5,854,854,"race, ethnicity and identity"
10977,64303,2019,all countries,saudi,663,380716,0.001741456,5,854,854,"race, ethnicity and identity"
10978,64304,2020,all countries,saudi,162,381402,0.000424749,5,854,854,"race, ethnicity and identity"
10979,64305,2021,all countries,saudi,108,234227,0.000461091,5,854,854,"race, ethnicity and identity"
11004,64396,2010,all countries,suicide,93,35448,0.002623561,7,860,858,crime and violence
11005,64397,2011,all countries,suicide,123,58436,0.0021048670000000003,7,860,858,crime and violence
11006,64398,2012,all countries,suicide,177,94038,0.001882218,7,860,858,crime and violence
11007,64399,2013,all countries,suicide,324,128387,0.00252362,7,860,858,crime and violence
11008,64400,2014,all countries,suicide,348,171115,0.00203372,7,860,858,crime and violence
11009,64401,2015,all countries,suicide,468,212576,0.002201566,7,860,858,crime and violence
11010,64402,2016,all countries,suicide,648,269843,0.002401396,7,860,858,crime and violence
11011,64403,2017,all countries,suicide,591,312298,0.001892423,7,860,858,crime and violence
11012,64404,2018,all countries,suicide,849,352387,0.002409283,7,860,858,crime and violence
11013,64405,2019,all countries,suicide,705,380716,0.001851774,7,860,858,crime and violence
11014,64406,2020,all countries,suicide,642,381402,0.001683263,7,860,858,crime and violence
11015,64407,2021,all countries,suicide,276,234227,0.001178344,7,860,858,crime and violence
11028,64481,2010,all countries,single,90,35448,0.00253893,6,865,865,female stereotypes
11029,64482,2011,all countries,single,189,58436,0.003234308,6,865,865,female stereotypes
11030,64483,2012,all countries,single,153,94038,0.0016270020000000002,6,865,865,female stereotypes
11031,64484,2013,all countries,single,219,128387,0.00170578,6,865,865,female stereotypes
11032,64485,2014,all countries,single,270,171115,0.001577886,6,865,865,female stereotypes
11033,64486,2015,all countries,single,324,212576,0.001524161,6,865,865,female stereotypes
11034,64487,2016,all countries,single,549,269843,0.002034516,6,865,865,female stereotypes
11035,64488,2017,all countries,single,615,312298,0.001969273,6,865,865,female stereotypes
11036,64489,2018,all countries,single,540,352387,0.001532406,6,865,865,female stereotypes
11037,64490,2019,all countries,single,675,380716,0.001772975,6,865,865,female stereotypes
11038,64491,2020,all countries,single,552,381402,0.0014472920000000002,6,865,865,female stereotypes
11039,64492,2021,all countries,single,255,234227,0.001088687,6,865,865,female stereotypes
11040,64498,2010,all countries,dress,138,35448,0.003893026,5,866,866,female stereotypes
11041,64499,2011,all countries,dress,243,58436,0.004158396,5,866,866,female stereotypes
11042,64500,2012,all countries,dress,357,94038,0.003796338,5,866,866,female stereotypes
11043,64501,2013,all countries,dress,447,128387,0.003481661,5,866,866,female stereotypes
11044,64502,2014,all countries,dress,555,171115,0.003243433,5,866,866,female stereotypes
11045,64503,2015,all countries,dress,624,212576,0.002935421,5,866,866,female stereotypes
11046,64504,2016,all countries,dress,858,269843,0.003179627,5,866,866,female stereotypes
11047,64505,2017,all countries,dress,1011,312298,0.003237293,5,866,866,female stereotypes
11048,64506,2018,all countries,dress,825,352387,0.002341176,5,866,866,female stereotypes
11049,64507,2019,all countries,dress,912,380716,0.002395486,5,866,866,female stereotypes
11050,64508,2020,all countries,dress,600,381402,0.001573143,5,866,866,female stereotypes
11051,64509,2021,all countries,dress,390,234227,0.001665051,5,866,866,female stereotypes
11064,64770,2010,all countries,author,51,35448,0.001438727,6,882,880,empowerment
11065,64771,2011,all countries,author,36,58436,0.000616059,6,882,880,empowerment
11066,64772,2012,all countries,author,78,94038,0.0008294519999999999,6,882,880,empowerment
11067,64773,2013,all countries,author,177,128387,0.001378644,6,882,880,empowerment
11068,64774,2014,all countries,author,159,171115,0.0009292,6,882,880,empowerment
11069,64775,2015,all countries,author,162,212576,0.00076208,6,882,880,empowerment
11070,64776,2016,all countries,author,231,269843,0.0008560530000000001,6,882,880,empowerment
11071,64777,2017,all countries,author,198,312298,0.00063401,6,882,880,empowerment
11072,64778,2018,all countries,author,204,352387,0.0005789090000000001,6,882,880,empowerment
11073,64779,2019,all countries,author,306,380716,0.000803749,6,882,880,empowerment
11074,64780,2020,all countries,author,273,381402,0.00071578,6,882,880,empowerment
11075,64781,2021,all countries,author,132,234227,0.000563556,6,882,880,empowerment
11076,64804,2010,all countries,affair,69,35448,0.001946513,6,884,882,female stereotypes
11077,64805,2011,all countries,affair,45,58436,0.000770073,6,884,882,female stereotypes
11078,64806,2012,all countries,affair,114,94038,0.001212276,6,884,882,female stereotypes
11079,64807,2013,all countries,affair,105,128387,0.00081784,6,884,882,female stereotypes
11080,64808,2014,all countries,affair,153,171115,0.000894136,6,884,882,female stereotypes
11081,64809,2015,all countries,affair,108,212576,0.000508054,6,884,882,female stereotypes
11082,64810,2016,all countries,affair,210,269843,0.00077823,6,884,882,female stereotypes
11083,64811,2017,all countries,affair,189,312298,0.0006051909999999999,6,884,882,female stereotypes
11084,64812,2018,all countries,affair,270,352387,0.000766203,6,884,882,female stereotypes
11085,64813,2019,all countries,affair,267,380716,0.00070131,6,884,882,female stereotypes
11086,64814,2020,all countries,affair,198,381402,0.0005191369999999999,6,884,882,female stereotypes
11087,64815,2021,all countries,affair,177,234227,0.000755677,6,884,882,female stereotypes
11088,64974,2010,all countries,killer,105,35448,0.002962085,6,894,894,crime and violence
11089,64975,2011,all countries,killer,105,58436,0.0017968379999999996,6,894,894,crime and violence
11090,64976,2012,all countries,killer,165,94038,0.00175461,6,894,894,crime and violence
11091,64977,2013,all countries,killer,273,128387,0.002126384,6,894,894,crime and violence
11092,64978,2014,all countries,killer,360,171115,0.002103848,6,894,894,crime and violence
11093,64979,2015,all countries,killer,336,212576,0.001580611,6,894,894,crime and violence
11094,64980,2016,all countries,killer,504,269843,0.001867753,6,894,894,crime and violence
11095,64981,2017,all countries,killer,489,312298,0.0015658120000000002,6,894,894,crime and violence
11096,64982,2018,all countries,killer,666,352387,0.001889968,6,894,894,crime and violence
11097,64983,2019,all countries,killer,642,380716,0.001686296,6,894,894,crime and violence
11098,64984,2020,all countries,killer,396,381402,0.001038275,6,894,894,crime and violence
11099,64985,2021,all countries,killer,249,234227,0.001063071,6,894,894,crime and violence
11100,65127,2010,all countries,kiss,69,35448,0.001946513,4,903,903,female stereotypes
11101,65128,2011,all countries,kiss,111,58436,0.001899514,4,903,903,female stereotypes
11102,65129,2012,all countries,kiss,138,94038,0.001467492,4,903,903,female stereotypes
11103,65130,2013,all countries,kiss,171,128387,0.001331911,4,903,903,female stereotypes
11104,65131,2014,all countries,kiss,171,171115,0.000999328,4,903,903,female stereotypes
11105,65132,2015,all countries,kiss,168,212576,0.0007903060000000001,4,903,903,female stereotypes
11106,65133,2016,all countries,kiss,351,269843,0.001300756,4,903,903,female stereotypes
11107,65134,2017,all countries,kiss,261,312298,0.00083574,4,903,903,female stereotypes
11108,65135,2018,all countries,kiss,315,352387,0.0008939039999999998,4,903,903,female stereotypes
11109,65136,2019,all countries,kiss,393,380716,0.001032266,4,903,903,female stereotypes
11110,65137,2020,all countries,kiss,216,381402,0.000566332,4,903,903,female stereotypes
11111,65138,2021,all countries,kiss,150,234227,0.000640404,4,903,903,female stereotypes
11112,65178,2010,all countries,pretty,30,35448,0.00084631,6,906,906,female stereotypes
11113,65179,2011,all countries,pretty,60,58436,0.001026764,6,906,906,female stereotypes
11114,65180,2012,all countries,pretty,138,94038,0.001467492,6,906,906,female stereotypes
11115,65181,2013,all countries,pretty,105,128387,0.00081784,6,906,906,female stereotypes
11116,65182,2014,all countries,pretty,165,171115,0.000964264,6,906,906,female stereotypes
11117,65183,2015,all countries,pretty,267,212576,0.001256021,6,906,906,female stereotypes
11118,65184,2016,all countries,pretty,183,269843,0.000678172,6,906,906,female stereotypes
11119,65185,2017,all countries,pretty,201,312298,0.000643616,6,906,906,female stereotypes
11120,65186,2018,all countries,pretty,324,352387,0.000919444,6,906,906,female stereotypes
11121,65187,2019,all countries,pretty,186,380716,0.0004885530000000001,6,906,906,female stereotypes
11122,65188,2020,all countries,pretty,213,381402,0.000558466,6,906,906,female stereotypes
11123,65189,2021,all countries,pretty,60,234227,0.000256162,6,906,906,female stereotypes
11124,65246,2010,all countries,sex,378,35448,0.010663507,3,911,911,female stereotypes
11125,65247,2011,all countries,sex,390,58436,0.006673968000000001,3,911,911,female stereotypes
11126,65248,2012,all countries,sex,543,94038,0.005774261,3,911,911,female stereotypes
11127,65249,2013,all countries,sex,900,128387,0.007010056,3,911,911,female stereotypes
11128,65250,2014,all countries,sex,1230,171115,0.007188148,3,911,911,female stereotypes
11129,65251,2015,all countries,sex,1761,212576,0.008284096,3,911,911,female stereotypes
11130,65252,2016,all countries,sex,1830,269843,0.006781721,3,911,911,female stereotypes
11131,65253,2017,all countries,sex,2070,312298,0.006628285,3,911,911,female stereotypes
11132,65254,2018,all countries,sex,2103,352387,0.005967871,3,911,911,female stereotypes
11133,65255,2019,all countries,sex,2061,380716,0.0054134840000000005,3,911,911,female stereotypes
11134,65256,2020,all countries,sex,1368,381402,0.0035867670000000007,3,911,911,female stereotypes
11135,65257,2021,all countries,sex,711,234227,0.003035517,3,911,911,female stereotypes
11136,65280,2010,all countries,gay,39,35448,0.001100203,3,913,913,"race, ethnicity and identity"
11137,65281,2011,all countries,gay,147,58436,0.002515573,3,913,913,"race, ethnicity and identity"
11138,65282,2012,all countries,gay,120,94038,0.00127608,3,913,913,"race, ethnicity and identity"
11139,65283,2013,all countries,gay,198,128387,0.001542212,3,913,913,"race, ethnicity and identity"
11140,65284,2014,all countries,gay,216,171115,0.001262309,3,913,913,"race, ethnicity and identity"
11141,65285,2015,all countries,gay,300,212576,0.00141126,3,913,913,"race, ethnicity and identity"
11142,65286,2016,all countries,gay,141,269843,0.0005225259999999999,3,913,913,"race, ethnicity and identity"
11143,65287,2017,all countries,gay,282,312298,0.000902984,3,913,913,"race, ethnicity and identity"
11144,65288,2018,all countries,gay,153,352387,0.000434182,3,913,913,"race, ethnicity and identity"
11145,65289,2019,all countries,gay,237,380716,0.000622511,3,913,913,"race, ethnicity and identity"
11146,65290,2020,all countries,gay,141,381402,0.000369689,3,913,913,"race, ethnicity and identity"
11147,65291,2021,all countries,gay,69,234227,0.000294586,3,913,913,"race, ethnicity and identity"
11160,65348,2010,all countries,breast,66,35448,0.001861882,6,917,917,female stereotypes
11161,65349,2011,all countries,breast,102,58436,0.001745499,6,917,917,female stereotypes
11162,65350,2012,all countries,breast,123,94038,0.001307982,6,917,917,female stereotypes
11163,65351,2013,all countries,breast,234,128387,0.001822614,6,917,917,female stereotypes
11164,65352,2014,all countries,breast,225,171115,0.001314905,6,917,917,female stereotypes
11165,65353,2015,all countries,breast,396,212576,0.001862863,6,917,917,female stereotypes
11166,65354,2016,all countries,breast,351,269843,0.001300756,6,917,917,female stereotypes
11167,65355,2017,all countries,breast,405,312298,0.001296838,6,917,917,female stereotypes
11168,65356,2018,all countries,breast,405,352387,0.001149305,6,917,917,female stereotypes
11169,65357,2019,all countries,breast,411,380716,0.001079545,6,917,917,female stereotypes
11170,65358,2020,all countries,breast,300,381402,0.0007865719999999999,6,917,917,female stereotypes
11171,65359,2021,all countries,breast,108,234227,0.000461091,6,917,917,female stereotypes
11172,65501,2010,all countries,housewife,48,35448,0.0013540960000000002,9,926,926,female stereotypes
11173,65502,2011,all countries,housewife,51,58436,0.00087275,9,926,926,female stereotypes
11174,65503,2012,all countries,housewife,69,94038,0.0007337460000000001,9,926,926,female stereotypes
11175,65504,2013,all countries,housewife,72,128387,0.000560804,9,926,926,female stereotypes
11176,65505,2014,all countries,housewife,87,171115,0.00050843,9,926,926,female stereotypes
11177,65506,2015,all countries,housewife,99,212576,0.000465716,9,926,926,female stereotypes
11178,65507,2016,all countries,housewife,120,269843,0.000444703,9,926,926,female stereotypes
11179,65508,2017,all countries,housewife,132,312298,0.000422673,9,926,926,female stereotypes
11180,65509,2018,all countries,housewife,66,352387,0.000187294,9,926,926,female stereotypes
11181,65510,2019,all countries,housewife,69,380716,0.000181237,9,926,926,female stereotypes
11182,65511,2020,all countries,housewife,69,381402,0.000180911,9,926,926,female stereotypes
11183,65512,2021,all countries,housewife,66,234227,0.000281778,9,926,926,female stereotypes
11184,65671,2010,all countries,gossip,234,35448,0.006601219,6,936,935,female stereotypes
11185,65672,2011,all countries,gossip,312,58436,0.005339174,6,936,935,female stereotypes
11186,65673,2012,all countries,gossip,405,94038,0.00430677,6,936,935,female stereotypes
11187,65674,2013,all countries,gossip,63,128387,0.000490704,6,936,935,female stereotypes
11188,65675,2014,all countries,gossip,60,171115,0.000350641,6,936,935,female stereotypes
11189,65676,2015,all countries,gossip,123,212576,0.000578617,6,936,935,female stereotypes
11190,65677,2016,all countries,gossip,84,269843,0.000311292,6,936,935,female stereotypes
11191,65678,2017,all countries,gossip,228,312298,0.000730072,6,936,935,female stereotypes
11192,65679,2018,all countries,gossip,144,352387,0.000408642,6,936,935,female stereotypes
11193,65680,2019,all countries,gossip,264,380716,0.00069343,6,936,935,female stereotypes
11194,65681,2020,all countries,gossip,372,381402,0.000975349,6,936,935,female stereotypes
11195,65682,2021,all countries,gossip,216,234227,0.000922182,6,936,935,female stereotypes
11196,65722,2010,all countries,fat,87,35448,0.002454299,3,939,939,female stereotypes
11197,65723,2011,all countries,fat,105,58436,0.0017968379999999996,3,939,939,female stereotypes
11198,65724,2012,all countries,fat,99,94038,0.001052766,3,939,939,female stereotypes
11199,65725,2013,all countries,fat,123,128387,0.000958041,3,939,939,female stereotypes
11200,65726,2014,all countries,fat,345,171115,0.002016188,3,939,939,female stereotypes
11201,65727,2015,all countries,fat,291,212576,0.001368922,3,939,939,female stereotypes
11202,65728,2016,all countries,fat,249,269843,0.000922759,3,939,939,female stereotypes
11203,65729,2017,all countries,fat,348,312298,0.00111432,3,939,939,female stereotypes
11204,65730,2018,all countries,fat,189,352387,0.000536342,3,939,939,female stereotypes
11205,65731,2019,all countries,fat,285,380716,0.0007485889999999999,3,939,939,female stereotypes
11206,65732,2020,all countries,fat,174,381402,0.000456212,3,939,939,female stereotypes
11207,65733,2021,all countries,fat,48,234227,0.000204929,3,939,939,female stereotypes
11208,65739,2010,all countries,sexy,135,35448,0.003808395,4,941,941,female stereotypes
11209,65740,2011,all countries,sexy,147,58436,0.002515573,4,941,941,female stereotypes
11210,65741,2012,all countries,sexy,156,94038,0.001658904,4,941,941,female stereotypes
11211,65742,2013,all countries,sexy,282,128387,0.002196484,4,941,941,female stereotypes
11212,65743,2014,all countries,sexy,303,171115,0.001770739,4,941,941,female stereotypes
11213,65744,2015,all countries,sexy,327,212576,0.001538273,4,941,941,female stereotypes
11214,65745,2016,all countries,sexy,204,269843,0.000755995,4,941,941,female stereotypes
11215,65746,2017,all countries,sexy,243,312298,0.000778103,4,941,941,female stereotypes
11216,65747,2018,all countries,sexy,159,352387,0.000451208,4,941,941,female stereotypes
11217,65748,2019,all countries,sexy,159,380716,0.000417634,4,941,941,female stereotypes
11218,65749,2020,all countries,sexy,114,381402,0.000298897,4,941,941,female stereotypes
11219,65750,2021,all countries,sexy,51,234227,0.000217737,4,941,941,female stereotypes