--- layout: default title: Get node properties nav_order: 3 parent: REST (V2) grand_parent: API - Query data programmatically published: true include_scripts: - /assets/js/syntax_highlighting.js - /assets/js/api-doc-tabs.js --- {: .no_toc} # /v2/node * TOC {:toc} Data Commons represents node relations as directed edges between nodes, or _properties_. The name of the property is a _label_, while the _value_ of the property may be a connected node. The Node API returns the property labels and values that are connected to the queried node. This is useful for finding local connections between nodes of the Data Commons knowledge graph. More specifically, this API can perform the following tasks: - Get all property labels associated with individual or multiple nodes. - Get the values of a property for individual or multiple nodes. These can also be chained for multiple hops in the graph. - Get all connected nodes that are linked with individual or multiple nodes. ## Request
{
"data": {
"NODE_DCID": {
"arcs": {
"LABEL": {
"nodes": [
...
]
}
...
},
"properties": [
"VALUE",
],
}
}
"nextToken": "TOKEN_STRING"
}
{: .response-signature .scroll}
### Response fields
| Name | Type | Description |
| --------- | ------ | ---------------------------------------------------------------------------- |
| data | object | Data of the property label and value information, keyed by the queried nodes |
| nextToken | string | A token used to query [next page of data](/api/rest/v2/index.html#pagination) |
{: .doc-table}
## Examples
### Example 1: Get all property labels for a given node
Get all (incoming arc) property labels of the node with DCID `geoId/06` (California) by querying all properties with the `<-` symbol. This returns just the property labels but not the property values.
Parameters:
{: .example-box-title}
```bash
nodes: "geoId/06"
property: "<-"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=geoId%2F06&property=%3C-'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["geoId/06"], "property": "<-"}'
```
Response:
{: .example-box-title}
```json
{
"data": {
"geoId/06": {
"properties": [
"affectedPlace",
"containedInPlace",
"location",
"member",
"overlapsWith"
]
}
}
}
```
### Example 2: Get one property value for a given node
Get a `name` property for a given node with DCID `dc/03lw9rhpendw5` by querying the `->name` symbol.
Parameters:
{: .example-box-title}
```bash
nodes: "dc/03lw9rhpendw5"
property: "->name"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=dc%2F03lw9rhpendw5&property=-%3Ename'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["dc/03lw9rhpendw5"], "property": "->name"}'
```
Response:
{: .example-box-title}
```json
{
"data": {
"dc/03lw9rhpendw5": {
"arcs": {
"name": {
"nodes": [
{
"provenanceId": "dc/base/EIA_860",
"value": "191 Peachtree Tower"
}
]
}
}
}
}
}
```
{: .example-box-content .scroll}
### Example 3: Get the DCIDs of all the states in the United States
In this example, we use a [filter expression](/api/rest/v2/#filters) to specify "all contained places in
United States of type `State`".
Parameters:
{: .example-box-title}
```bash
nodes: "country/USA"
property: "<-containedInPlace+{typeOf:State}"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=country%2FUSA&property=%3C-containedInPlace%2B%7BtypeOf%3AState%7D'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["country/USA"], "property": "<-containedInPlace+{typeOf:State}"}'
```
Response:
{: .example-box-title}
```
{
"data" : {
"country/USA" : {
"arcs" : {
"containedInPlace+" : {
"nodes" : [
{
"dcid" : "geoId/01",
"name" : "Alabama"
},
{
"dcid" : "geoId/02",
"name" : "Alaska"
},
{
"dcid" : "geoId/04",
"name" : "Arizona"
},
{
"dcid" : "geoId/05",
"name" : "Arkansas"
},
{
"dcid" : "geoId/06",
"name" : "California"
},
{
"dcid" : "geoId/08",
"name" : "Colorado"
},
{
"dcid" : "geoId/09",
"name" : "Connecticut"
},
...
}
}
}
}
}
```
{: #multiple-properties}
### Example 4: Get multiple property values for multiple nodes
Get `name`, `latitude`, and `longitude` values for several nodes: `geoId/06085`
and `geoId/06087`. Note that multiple properties for a given node must be
enclosed in square brackets `[]`.
Parameters:
{: .example-box-title}
```bash
nodes: "geoId/06085", "geoId/06087"
property: "->[name, latitude, longitude]"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=geoId%2F06085&nodes=geoId%2F06087&property=-%3E%5Bname,%20latitude,%20longitude%5D'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["geoId/06085", "geoId/06087"], "property": "->[name, latitude, longitude]"}'
```
Response:
{: .example-box-title}
```json
{
"data" : {
"geoId/06085" : {
"arcs" : {
"latitude" : {
"nodes" : [
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "37.221614"
},
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "37.36"
}
]
},
"longitude" : {
"nodes" : [
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "-121.68954"
},
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "-121.97"
}
]
},
"name" : {
"nodes" : [
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "Santa Clara County"
}
]
}
}
},
"geoId/06087" : {
"arcs" : {
"latitude" : {
"nodes" : [
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "37.012347"
},
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "37.03"
}
]
},
"longitude" : {
"nodes" : [
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "-122.007789"
},
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "-122.01"
}
]
},
"name" : {
"nodes" : [
{
"provenanceId" : "dc/base/WikidataOtherIdGeos",
"value" : "Santa Cruz County"
}
]
}
}
}
}
}
```
{: .example-box-content .scroll}
{: #wildcard}
### Example 5: Get all property values for a node
Get all the property labels and values (incoming arcs) for node `PowerPlant`, using `<-*`. Note that, unlike example 1, this query returns the actual property values, not just their labels.
Also note that the response contains a `nextToken`, so to get all the data, you need to send additional requests with [continuation tokens](/api/rest/v2/index.html#pagination), until no `nextToken` is returned.
Parameters:
{: .example-box-title}
```bash
nodes: "PowerPlant"
property: "<-*"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=PowerPlant&property=%3C-%2A'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["PowerPlant"], "property": "<-*"}'
```
Response:
{: .example-box-title}
```json
{
"data": {
"PowerPlant": {
"arcs": {
"subClassOf": {
"nodes": [
{
"name": "PowerPlantUnit",
"types": [
"Class"
],
"dcid": "PowerPlantUnit",
"provenanceId": "dc/base/BaseSchema"
}
]
},
"subClassOf" : {
"nodes" : [
{
"dcid" : "PowerPlantUnit",
"name" : "PowerPlantUnit",
"provenanceId" : "dc/base/BaseSchema",
"types" : [
"Class"
]
}
]
},
"typeOf" : {
"nodes": [
{
"name": "Suzlon Project VIII LLC",
"types": [
"PowerPlant"
],
"dcid": "dc/000qxlm93vn93",
"provenanceId": "dc/base/EIA_860"
},
{
"name": "NYC-HH - CONEY ISLAND HOSPITAL",
"types": [
"PowerPlant"
],
"dcid": "dc/002x855kf3wv3",
"provenanceId": "dc/base/EIA_860"
},
{
"name": "Bridgeport Gas Processing Plant",
"types": [
"PowerPlant"
],
"dcid": "dc/0053j61z19gn6",
"provenanceId": "dc/base/EIA_860"
},
{
"name": "Hennepin Island",
"types": [
"PowerPlant"
],
"dcid": "dc/005r26ht43r1f",
"provenanceId": "dc/base/EIA_860"
},
{
"name": "Bountiful City",
"types": [
"PowerPlant"
],
"dcid": "dc/006cgl79w0bj9",
"provenanceId": "dc/base/EIA_860"
} ...
]
},
"domainIncludes": {
"nodes": [
{
"types": [
"Property"
],
"dcid": "ashImpoundmentStatus",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "co2Mass",
"types": [
"Property"
],
"dcid": "co2Mass",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "co2Rate",
"types": [
"Property"
],
"dcid": "co2Rate",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "eiaPlantCode",
"types": [
"Property"
],
"dcid": "eiaPlantCode",
"provenanceId": "dc/base/BaseSchema"
},
{
"types": [
"Property"
],
"dcid": "fercCogenerationDocketNumber",
"provenanceId": "dc/base/BaseSchema"
},
{
"types": [
"Property"
],
"dcid": "fercExemptWholesaleGeneratorDocketNumber",
"provenanceId": "dc/base/BaseSchema"
},
{
"types": [
"Property"
],
"dcid": "fercSmallPowerProducerDocketNumber",
"provenanceId": "dc/base/BaseSchema"
},
{
"types": [
"Property"
],
"dcid": "fercStatus",
"provenanceId": "dc/base/BaseSchema"
} ...
]
}
}
}
},
"nextToken": "H4sIAAAAAAAA/0zIMQ6CMBjFcfus9fnpYP4Xs4MXYCgTAUKaEG7PyvqLf0Rd9rbVaZh7lH6s7TdejRtyQhbyHTkjP5AL8hPZyC/kQH6T/fmmEwAA//8BAAD///dHSrJWAAAA"
}
```
{: .example-box-content .scroll}
{: #liststatvars}
### Example 6: Get a list of all existing statistical variables
Get all incoming linked nodes of node `StatisticalVariable`, with the `typeof` property. Since `StatisticalVariable` is a top-level entity, or entity type, this effectively gets all statistical variables.
Also note that the response contains a `nextToken`, so to get all the data, you need to send additional requests with [continuation tokens](/api/rest/v2/index.html#pagination), until no `nextToken` is returned.
Parameters:
{: .example-box-title}
```bash
nodes: "StatisticalVariable"
property: "<-typeOf"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=StatisticalVariable&property=%3C-typeOf'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["StatisticalVariable"], "property": "<-typeOf"}'
```
Response:
{: .example-box-title}
(truncated)
```json
{
"data": {
"StatisticalVariable": {
"arcs": {
"typeOf": {
"nodes": [
{
"name": "Max Temperature (Difference Relative To Base Date): Relative To 1990, Highest Value, Median Across Models",
"types": [
"StatisticalVariable"
],
"dcid": "AggregateMax_MedianAcrossModels_DifferenceRelativeToBaseDate1990_Max_Temperature",
"provenanceId": "dc/base/HumanReadableStatVars"
},
{
"name": "Max Temperature (Difference Relative To Base Date): Relative To Between 2006 And 2020, Based on RCP 4.5, Highest Value, Median Across Models",
"types": [
"StatisticalVariable"
],
"dcid": "AggregateMax_MedianAcrossModels_DifferenceRelativeToBaseDate2006To2020_Max_Temperature_RCP45",
"provenanceId": "dc/base/HumanReadableStatVars"
},
{
"name": "Max Temperature (Difference Relative To Base Date): Relative To Between 2006 And 2020, Based on RCP 8.5, Highest Value, Median Across Models",
"types": [
"StatisticalVariable"
],
"dcid": "AggregateMax_MedianAcrossModels_DifferenceRelativeToBaseDate2006To2020_Max_Temperature_RCP85",
"provenanceId": "dc/base/HumanReadableStatVars"
},
{
"name": "Max Temperature (Difference Relative To Base Date): Relative To 2006, Based on RCP 4.5, Highest Value, Median Across Models",
"types": [
"StatisticalVariable"
],
"dcid": "AggregateMax_MedianAcrossModels_DifferenceRelativeToBaseDate2006_Max_Temperature_RCP45",
"provenanceId": "dc/base/HumanReadableStatVars"
},
{
"name": "Max Temperature (Difference Relative To Base Date): Relative To 2006, Based on RCP 8.5, Highest Value, Median Across Models",
"types": [
"StatisticalVariable"
],
"dcid": "AggregateMax_MedianAcrossModels_DifferenceRelativeToBaseDate2006_Max_Temperature_RCP85",
"provenanceId": "dc/base/HumanReadableStatVars"
}...
]
}
}
}
},
"nextToken": "H4sIAAAAAAAA/2zJsQ6CMBQFUHut9fp0MNcPcyBhf5CSNOlA4C38PT/AfGyx3xAebY82ex99az71aiWOtf6vUTdlpm8SCIF3gVngQ2AR+BRIgS+BJvAt8HMCAAD//wEAAP//522gCWgAAAA="
}
```
{: .example-box-content .scroll}
### Example 7: Get a list of all existing statistical variables filtered by 2 property values
This example gets all nodes of type `StatisticalVariable`, filtered by gender and population type.
Parameters:
{: .example-box-title}
```bash
nodes: "StatisticalVariable"
property: "<-typeOf{gender:Female,populationType:Student}"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=StatisticalVariable&property=%3C-typeOf{gender:Female,populationType:Student}'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["StatisticalVariable"], "property": "<-typeOf{gender:Female,populationType:Student}"}'
```
Response:
{: .example-box-title}
(truncated)
```jsonc
{
"data": {
"StatisticalVariable": {
"arcs": {
"typeOf": {
"nodes": [
{
"name": "Count of Student: Years 6 To 12, Female, Primary Education",
"types": [
"StatisticalVariable"
],
"dcid": "Count_Student_6To12Years_Female_PrimaryEducation",
"provenanceId": "dc/base/Schema"
},
{
"name": "Number of female students in school grade 3 who completed an academic assessment in english language arts",
"types": [
"StatisticalVariable"
],
"dcid": "Count_Student_AcademicAssessmentEvent_Female_SchoolGrade3_EnglishLanguageArts",
"provenanceId": "dc/base/Schema"
},
{
"name": "Number of female students in school grade 3, mathematics",
"types": [
"StatisticalVariable"
],
"dcid": "Count_Student_AcademicAssessmentEvent_Female_SchoolGrade3_Mathematics",
"provenanceId": "dc/base/Schema"
},
{
"name": "Number of female students in school grade 4 who completed an academic assessment in english language arts",
"types": [
"StatisticalVariable"
],
"dcid": "Count_Student_AcademicAssessmentEvent_Female_SchoolGrade4_EnglishLanguageArts",
"provenanceId": "dc/base/Schema"
},
{
"name": "Number of female students in school grade 4, mathematics",
"types": [
"StatisticalVariable"
],
"dcid": "Count_Student_AcademicAssessmentEvent_Female_SchoolGrade4_Mathematics",
"provenanceId": "dc/base/Schema"
},
]
}
}
}
},
"nextToken": "H4sIAAAAAAAA/+Ly5/IoLkjMy0st0i0oys9KTS4p1k9JLEnOz9UtLskvStXPzCsuScxLTi3WT0nWTS9KLMgAKUwBKUpMSiwGi8eDxaWYOb4wAwAAAP//AQAA//9rtwC6UQAAAA=="
}
```
{: .example-box-content .scroll}
{: #list-entity-types}
### Example 8: Get a list of all existing entity types
This example gets all incoming linked nodes of node `Class`, with the `typeof` property. Since `Class` is the top-level entity in the knowledge graph, getting all directly linked nodes effectively gets all entity types.
Also note that the response contains a `nextToken`, so you need to send additional requests with the continuation tokens to get all the data.
Parameters:
{: .example-box-title}
```bash
nodes: "Class"
property: "<-typeOf"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=Class&property=%3C-typeOf'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["Class"], "property": "<-typeOf"}'
```
Response:
{: .example-box-title}
```json
{
"data": {
"Class": {
"arcs": {
"typeOf": {
"nodes": [
{
"name": "ACLGroup",
"types": [
"Class"
],
"dcid": "ACLGroup",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "ACSEDChild",
"types": [
"Class"
],
"dcid": "ACSEDChild",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "ACSEDParent",
"types": [
"Class"
],
"dcid": "ACSEDParent",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "APIReference",
"types": [
"Class"
],
"dcid": "APIReference",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "AboutPage",
"types": [
"Class"
],
"dcid": "AboutPage",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "AcademicAssessmentEvent",
"types": [
"Class"
],
"dcid": "AcademicAssessmentEvent",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "AcademicAssessmentTypeEnum",
"types": [
"Class"
],
"dcid": "AcademicAssessmentTypeEnum",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "AcceptAction",
"types": [
"Class"
],
"dcid": "AcceptAction",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "Accommodation",
"types": [
"Class"
],
"dcid": "Accommodation",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "AccountingService",
"types": [
"Class"
],
"dcid": "AccountingService",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "AchieveAction",
"types": [
"Class"
],
"dcid": "AchieveAction",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "Action",
"types": [
"Class"
],
"dcid": "Action",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "ActionStatusType",
"types": [
"Class"
],
"dcid": "ActionStatusType",
"provenanceId": "dc/base/BaseSchema"
},
{
"name": "ActivateAction",
"types": [
"Class"
],
"dcid": "ActivateAction",
"provenanceId": "dc/base/BaseSchema"
},
...
]
}
}
}
},
"nextToken": "H4sIAAAAAAAA/yzHsQ5EQBiF0Z27O7PXTyFf5X20Es+goFJIRuPtRaI7J6bI477UGuW8jnXe3vKhOPVp+CEL+Yv8OCMX5D+ykRvkQG6RuxsAAP//AQAA//8tG+Q2TgAAAA=="
}
```
{: .example-box-content .scroll}
### Example 9: Get the hierarchy of a node
This example uses recursive chaining to get all subclasses of the class `Person`.
Parameters:
{: .example-box-title}
```bash
nodes: "Person"
property: "<-subClassOf+"
```
GET Request:
{: .example-box-title}
```bash
curl --request GET --url \
'https://api.datacommons.org/v2/node?key=AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI&nodes=Person&property=<-subClassOf%2B'
```
POST Request:
{: .example-box-title}
```bash
curl -X POST -H "X-API-Key: AIzaSyCTI4Xz-UW_G2Q2RfknhcfdAnTHq5X5XuI" \
https://api.datacommons.org/v2/node \
-d '{"nodes": ["Person"], "property": "<-subClassOf+"}'
```
Response:
{: .example-box-title}
```jsonc
{
"data": {
"Person": {
"arcs": {
"subClassOf+": {
"nodes": [
{
"name": "ACSEDChild",
"types": [
"Class"
],
"dcid": "ACSEDChild"
},
{
"name": "ACSEDParent",
"types": [
"Class"
],
"dcid": "ACSEDParent"
},
{
"name": "BLSWorker",
"types": [
"Class"
],
"dcid": "BLSWorker"
},
{
"name": "Child",
"types": [
"Class"
],
"dcid": "Child"
},
{
"name": "Consumer",
"types": [
"Class"
],
"dcid": "Consumer"
},
{
"name": "ElectricityConsumer",
"types": [
"Class"
],
"dcid": "ElectricityConsumer"
},
{
"name": "Faculty",
"types": [
"Class"
],
"dcid": "Faculty"
},
{
"name": "HealthcareWorker",
"types": [
"Class"
],
"dcid": "HealthcareWorker"
},
{
"name": "Infant",
"types": [
"AgeGroupClassificationEnum",
"Class"
],
"dcid": "Infant"
},
{
"name": "MedicareEnrollee",
"types": [
"Class"
],
"dcid": "MedicareEnrollee"
},
{
"name": "MenstrualWoman",
"types": [
"Class"
],
"dcid": "MenstrualWoman"
},
{
"name": "Mother",
"types": [
"Class"
],
"dcid": "Mother"
},
{
"name": "NonPregnantWoman",
"types": [
"Class"
],
"dcid": "NonPregnantWoman"
},
{
"name": "PregnantWoman",
"types": [
"Class"
],
"dcid": "PregnantWoman"
},
{
"name": "Student",
"types": [
"Class"
],
"dcid": "Student"
},
{
"name": "USCWorker",
"types": [
"Class"
],
"dcid": "USCWorker"
},
{
"name": "UrbanConsumer",
"types": [
"Class"
],
"dcid": "UrbanConsumer"
},
{
"name": "UrbanWageEarnerAndClericalWorker",
"types": [
"Class"
],
"dcid": "UrbanWageEarnerAndClericalWorker"
}
]
}
}
}
}
}
```
{: .example-box-content .scroll}