\n",
" \n",
" 0 | \n",
" /db/pystreet/response_usd/response_id/2.json | \n",
" USD | \n",
" United States | \n",
" $60,000.00 | \n",
" $60,000.00 | \n",
" Employee | \n",
" 2 | \n",
" $45,000.00 | \n",
" $45,000.00 | \n",
" 0 | \n",
"
\n",
" \n",
" 1 | \n",
" /db/pystreet/response_usd/response_id/3.json | \n",
" USD | \n",
" United States | \n",
" $125,000.00 | \n",
" $125,000.00 | \n",
" Employee | \n",
" 3 | \n",
" $95,000.00 | \n",
" $95,000.00 | \n",
" 0 | \n",
"
\n",
" \n",
" 2 | \n",
" /db/pystreet/response_usd/response_id/31.json | \n",
" USD | \n",
" United States | \n",
" $80,000.00 | \n",
" $80,000.00 | \n",
" Employee | \n",
" 31 | \n",
" $65,000.00 | \n",
" $65,000.00 | \n",
" 1 | \n",
"
\n",
" \n",
" 3 | \n",
" /db/pystreet/response_usd/response_id/53.json | \n",
" USD | \n",
" United States | \n",
" $125,000.00 | \n",
" $125,000.00 | \n",
" Self-employed | \n",
" 53 | \n",
" $100,000.00 | \n",
" $100,000.00 | \n",
" 3 | \n",
"
\n",
" \n",
" 4 | \n",
" /db/pystreet/response_usd/response_id/54.json | \n",
" USD | \n",
" United States | \n",
" $125,000.00 | \n",
" $125,000.00 | \n",
" Employee | \n",
" 54 | \n",
" $110,000.00 | \n",
" $110,000.00 | \n",
" 3 | \n",
"
\n",
" \n",
" 5 | \n",
" /db/pystreet/response_usd/response_id/57.json | \n",
" USD | \n",
" United States | \n",
" $75,000.00 | \n",
" $75,000.00 | \n",
" Employee | \n",
" 57 | \n",
" $62,000.00 | \n",
" $62,000.00 | \n",
" 3 | \n",
"
\n",
" \n",
" 6 | \n",
" /db/pystreet/response_usd/response_id/168.json | \n",
" USD | \n",
" United States | \n",
" $125,000.00 | \n",
" $125,000.00 | \n",
" Employee | \n",
" 168 | \n",
" $95,000.00 | \n",
" $95,000.00 | \n",
" 13 | \n",
"
\n",
" \n",
" 7 | \n",
" /db/pystreet/response_usd/response_id/170.json | \n",
" USD | \n",
" United States | \n",
" $150,000.00 | \n",
" $150,000.00 | \n",
" Employee | \n",
" 170 | \n",
" $100,000.00 | \n",
" $100,000.00 | \n",
" 15 | \n",
"
\n",
" \n",
" 8 | \n",
" /db/pystreet/response_usd/response_id/173.json | \n",
" USD | \n",
" United States | \n",
" $91,000.00 | \n",
" $91,000.00 | \n",
" Employee | \n",
" 173 | \n",
" $91,000.00 | \n",
" $91,000.00 | \n",
" 15 | \n",
"
\n",
" \n",
" 9 | \n",
" /db/pystreet/response_usd/response_id/174.json | \n",
" USD | \n",
" United States | \n",
" $115,000.00 | \n",
" $115,000.00 | \n",
" Employee | \n",
" 174 | \n",
" $90,000.00 | \n",
" $90,000.00 | \n",
" 15 | \n",
"
\n",
" \n",
" 10 | \n",
" /db/pystreet/response_usd/response_id/176.json | \n",
" USD | \n",
" United States | \n",
" $700,000.00 | \n",
" $700,000.00 | \n",
" Employee | \n",
" 176 | \n",
" $600,000.00 | \n",
" $600,000.00 | \n",
" 18 | \n",
"
\n",
" \n",
" 11 | \n",
" /db/pystreet/response_usd/response_id/157.json | \n",
" USD | \n",
" United States | \n",
" $250,000.00 | \n",
" $250,000.00 | \n",
" Self-employed | \n",
" 157 | \n",
" $250,000.00 | \n",
" $250,000.00 | \n",
" 10 | \n",
"
\n",
" \n",
" 12 | \n",
" /db/pystreet/response_usd/response_id/158.json | \n",
" USD | \n",
" United States | \n",
" $150,000.00 | \n",
" $150,000.00 | \n",
" Employee | \n",
" 158 | \n",
" $120,000.00 | \n",
" $120,000.00 | \n",
" 10 | \n",
"
\n",
" \n",
" 13 | \n",
" /db/pystreet/response_usd/response_id/159.json | \n",
" USD | \n",
" United States | \n",
" $40,000.00 | \n",
" $40,000.00 | \n",
" Employee | \n",
" 159 | \n",
" $30,000.00 | \n",
" $30,000.00 | \n",
" 10 | \n",
"
\n",
" \n",
" 14 | \n",
" /db/pystreet/response_usd/response_id/162.json | \n",
" USD | \n",
" United States | \n",
" $160,000.00 | \n",
" $160,000.00 | \n",
" Employee | \n",
" 162 | \n",
" $142,000.00 | \n",
" $142,000.00 | \n",
" 10 | \n",
"
\n",
" \n",
" 15 | \n",
" /db/pystreet/response_usd/response_id/163.json | \n",
" USD | \n",
" United States | \n",
" $135,000.00 | \n",
" $135,000.00 | \n",
" Self-employed | \n",
" 163 | \n",
" $145,000.00 | \n",
" $145,000.00 | \n",
" 11 | \n",
"
\n",
" \n",
" 16 | \n",
" /db/pystreet/response_usd/response_id/164.json | \n",
" USD | \n",
" United States | \n",
" $68,000.00 | \n",
" $68,000.00 | \n",
" Employee | \n",
" 164 | \n",
" $68,000.00 | \n",
" $68,000.00 | \n",
" 11 | \n",
"
\n",
" \n",
" 17 | \n",
" /db/pystreet/response_usd/response_id/145.json | \n",
" USD | \n",
" United States | \n",
" $120,000.00 | \n",
" $120,000.00 | \n",
" Employee | \n",
" 145 | \n",
" $71,956.00 | \n",
" $71,956.00 | \n",
" 7 | \n",
"
\n",
" \n",
" 18 | \n",
" /db/pystreet/response_usd/response_id/147.json | \n",
" USD | \n",
" United States | \n",
" $100,000.00 | \n",
" $100,000.00 | \n",
" Employee | \n",
" 147 | \n",
" $85,000.00 | \n",
" $85,000.00 | \n",
" 7 | \n",
"
\n",
" \n",
" 19 | \n",
" /db/pystreet/response_usd/response_id/148.json | \n",
" USD | \n",
" United States | \n",
" $150,000.00 | \n",
" $150,000.00 | \n",
" Employee | \n",
" 148 | \n",
" $120,000.00 | \n",
" $120,000.00 | \n",
" 7 | \n",
"
\n",
" \n",
" 20 | \n",
" /db/pystreet/response_usd/response_id/149.json | \n",
" USD | \n",
" United States | \n",
" $75,000.00 | \n",
" $75,000.00 | \n",
" Employee | \n",
" 149 | \n",
" $68,000.00 | \n",
" $68,000.00 | \n",
" 8 | \n",
"
\n",
" \n",
" 22 | \n",
" /db/pystreet/response_usd/response_id/155.json | \n",
" USD | \n",
" United States | \n",
" $150,000.00 | \n",
" $150,000.00 | \n",
" Employee | \n",
" 155 | \n",
" $140,000.00 | \n",
" $140,000.00 | \n",
" 9 | \n",
"
\n",
" \n",
" 23 | \n",
" /db/pystreet/response_usd/response_id/129.json | \n",
" USD | \n",
" United States | \n",
" $120,000.00 | \n",
" $120,000.00 | \n",
" Self-employed | \n",
" 129 | \n",
" $70,000.00 | \n",
" $70,000.00 | \n",
" 6 | \n",
"
\n",
" \n",
" 24 | \n",
" /db/pystreet/response_usd/response_id/130.json | \n",
" USD | \n",
" United States | \n",
" $130,000.00 | \n",
" $130,000.00 | \n",
" Self-employed | \n",
" 130 | \n",
" $120,000.00 | \n",
" $120,000.00 | \n",
" 6 | \n",
"
\n",
" \n",
" 25 | \n",
" /db/pystreet/response_usd/response_id/133.json | \n",
" USD | \n",
" United States | \n",
" $110,000.00 | \n",
" $110,000.00 | \n",
" Employee | \n",
" 133 | \n",
" $96,000.00 | \n",
" $96,000.00 | \n",
" 6 | \n",
"
\n",
" \n",
" 26 | \n",
" /db/pystreet/response_usd/response_id/135.json | \n",
" USD | \n",
" United States | \n",
" $120,000.00 | \n",
" $120,000.00 | \n",
" Employee | \n",
" 135 | \n",
" $112,000.00 | \n",
" $112,000.00 | \n",
" 6 | \n",
"
\n",
" \n",
" 27 | \n",
" /db/pystreet/response_usd/response_id/142.json | \n",
" USD | \n",
" United States | \n",
" $110,000.00 | \n",
" $110,000.00 | \n",
" Employee | \n",
" 142 | \n",
" $90,000.00 | \n",
" $90,000.00 | \n",
" 7 | \n",
"
\n",
" \n",
" 28 | \n",
" /db/pystreet/response_usd/response_id/144.json | \n",
" USD | \n",
" United States | \n",
" $150,000.00 | \n",
" $150,000.00 | \n",
" Employee | \n",
" 144 | \n",
" $125,000.00 | \n",
" $125,000.00 | \n",
" 7 | \n",
"
\n",
" \n",
" 29 | \n",
" /db/pystreet/response_usd/response_id/112.json | \n",
" USD | \n",
" United States | \n",
" $175,000.00 | \n",
" $175,000.00 | \n",
" Self-employed | \n",
" 112 | \n",
" $150,000.00 | \n",
" $150,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 30 | \n",
" /db/pystreet/response_usd/response_id/115.json | \n",
" USD | \n",
" United States | \n",
" $110,000.00 | \n",
" $110,000.00 | \n",
" Self-employed | \n",
" 115 | \n",
" $90,000.00 | \n",
" $90,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 31 | \n",
" /db/pystreet/response_usd/response_id/116.json | \n",
" USD | \n",
" United States | \n",
" $134,000.00 | \n",
" $134,000.00 | \n",
" Employee | \n",
" 116 | \n",
" $114,000.00 | \n",
" $114,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 32 | \n",
" /db/pystreet/response_usd/response_id/120.json | \n",
" USD | \n",
" United States | \n",
" $135,000.00 | \n",
" $135,000.00 | \n",
" Employee | \n",
" 120 | \n",
" $123,000.00 | \n",
" $123,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 33 | \n",
" /db/pystreet/response_usd/response_id/122.json | \n",
" USD | \n",
" United States | \n",
" $58,000.00 | \n",
" $58,000.00 | \n",
" Employee | \n",
" 122 | \n",
" $55,000.00 | \n",
" $55,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 34 | \n",
" /db/pystreet/response_usd/response_id/124.json | \n",
" USD | \n",
" United States | \n",
" $130,000.00 | \n",
" $130,000.00 | \n",
" Employee | \n",
" 124 | \n",
" $130,000.00 | \n",
" $130,000.00 | \n",
" 6 | \n",
"
\n",
" \n",
" 35 | \n",
" /db/pystreet/response_usd/response_id/90.json | \n",
" USD | \n",
" United States | \n",
" $100,000.00 | \n",
" $100,000.00 | \n",
" Employee | \n",
" 90 | \n",
" $75,000.00 | \n",
" $75,000.00 | \n",
" 4 | \n",
"
\n",
" \n",
" 36 | \n",
" /db/pystreet/response_usd/response_id/91.json | \n",
" USD | \n",
" United States | \n",
" $55,000.00 | \n",
" $55,000.00 | \n",
" Employee | \n",
" 91 | \n",
" $40,000.00 | \n",
" $40,000.00 | \n",
" 4 | \n",
"
\n",
" \n",
" 37 | \n",
" /db/pystreet/response_usd/response_id/96.json | \n",
" USD | \n",
" United States | \n",
" $120,000.00 | \n",
" $120,000.00 | \n",
" Employee | \n",
" 96 | \n",
" $60,000.00 | \n",
" $60,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 38 | \n",
" /db/pystreet/response_usd/response_id/102.json | \n",
" USD | \n",
" United States | \n",
" $70,000.00 | \n",
" $70,000.00 | \n",
" Employee | \n",
" 102 | \n",
" $50,000.00 | \n",
" $50,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 39 | \n",
" /db/pystreet/response_usd/response_id/103.json | \n",
" USD | \n",
" United States | \n",
" $150,000.00 | \n",
" $150,000.00 | \n",
" Employee | \n",
" 103 | \n",
" $100,000.00 | \n",
" $100,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 40 | \n",
" /db/pystreet/response_usd/response_id/109.json | \n",
" USD | \n",
" United States | \n",
" $140,000.00 | \n",
" $140,000.00 | \n",
" Employee | \n",
" 109 | \n",
" $120,000.00 | \n",
" $120,000.00 | \n",
" 5 | \n",
"
\n",
" \n",
" 41 | \n",
" /db/pystreet/response_usd/response_id/59.json | \n",
" USD | \n",
" United States | \n",
" $150,000.00 | \n",
" $150,000.00 | \n",
" Self-employed | \n",
" 59 | \n",
" $100,000.00 | \n",
" $100,000.00 | \n",
" 3 | \n",
"
\n",
" \n",
" 42 | \n",
" /db/pystreet/response_usd/response_id/64.json | \n",
" USD | \n",
" United States | \n",
" $60,000.00 | \n",
" $60,000.00 | \n",
" Self-employed | \n",
" 64 | \n",
" $30,000.00 | \n",
" $30,000.00 | \n",
" 3 | \n",
"
\n",
" \n",
" 43 | \n",
" /db/pystreet/response_usd/response_id/65.json | \n",
" USD | \n",
" United States | \n",
" $85,000.00 | \n",
" $85,000.00 | \n",
" Self-employed | \n",
" 65 | \n",
" $70,000.00 | \n",
" $70,000.00 | \n",
" 3 | \n",
"
\n",
" \n",
" 44 | \n",
" /db/pystreet/response_usd/response_id/67.json | \n",
" USD | \n",
" United States | \n",
" $85,000.00 | \n",
" $85,000.00 | \n",
" Employee | \n",
" 67 | \n",
" $85,000.00 | \n",
" $85,000.00 | \n",
" 3 | \n",
"
\n",
" \n",
" 45 | \n",
" /db/pystreet/response_usd/response_id/72.json | \n",
" USD | \n",
" United States | \n",
" $97,996.00 | \n",
" $97,996.00 | \n",
" Employee | \n",
" 72 | \n",
" $97,996.00 | \n",
" $97,996.00 | \n",
" 3 | \n",
"
\n",
" \n",
" 46 | \n",
" /db/pystreet/response_usd/response_id/74.json | \n",
" USD | \n",
" United States | \n",
" $80,000.00 | \n",
" $80,000.00 | \n",
" Employee | \n",
" 74 | \n",
" $80,000.00 | \n",
" $80,000.00 | \n",
" 4 | \n",
"
\n",
" \n",
"