Counties Subdivisions - United States of America
This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for counties subdivisions and equivalent entities in United States of America. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Ce...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (14 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | year | date | — |
| — | ste_codeOfficial Code State | text | — |
| — | ste_nameOfficial Name State | text | — |
| — | coty_codeOfficial Code County | text | — |
| — | coty_nameOfficial Name County | text | — |
| — | cousub_codeOfficial Code County Subdivision | text | — |
| — | cousub_nameOfficial Name County Subdivision | text | — |
| — | cousub_area_codeIso 3166-3 Area Code | text | — |
| 100% | cousub_typeType | text | — |
| 101% | cousub_name_longName with legal/statistical area description | text | — |
| 100% | cousub_fp_codeCounty Subdivision FIPS Code | text | — |
| 100% | cousub_gnis_codeCounty Subdivision GNIS Code | text | — |
Schema captured from opendatasoft 2 hours ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1year: 2023 · ste_code: ["41"]
{
"year": "2023",
"ste_code": [
"41"
],
"ste_name": [
"Oregon"
],
"coty_code": [
"41047"
],
"coty_name": [
"Marion"
],
"geo_shape": "[large value omitted]",
"cousub_code": [
"4104791428"
],
"cousub_name": [
"Jefferson"
],
"cousub_type": "CCD",
"geo_point_2d": {
"lat": 44.77589484952142,
"lon": -122.9880226717442
},
"cousub_fp_code": "91428",
"cousub_area_code": "USA",
"cousub_gnis_code": "01938032",
"cousub_name_long": [
"Jefferson CCD"
]
}Record 2year: 2023 · ste_code: ["42"]
{
"year": "2023",
"ste_code": [
"42"
],
"ste_name": [
"Pennsylvania"
],
"coty_code": [
"42007"
],
"coty_name": [
"Beaver"
],
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-80.503248,
40.64396399906742
],
[
-80.505596,
40.64738599906739
],
[
-80.512352,
40.644908999067404
],
[
-80.511055,
40.641376999067425
],
[
-80.506923,
40.64280199906743
],
[
-80.503248,
40.64396399906742
]
]
]
},
"properties": {}
},
"cousub_code": [
"4200729392"
],
"cousub_name": [
"Glasgow"
],
"cousub_type": "borough",
"geo_point_2d": {
"lat": 40.64439703768809,
"lon": -80.50801229748332
},
"cousub_fp_code": "29392",
"cousub_area_code": "USA",
"cousub_gnis_code": "01214877",
"cousub_name_long": [
"Glasgow borough"
]
}Record 3year: 2023 · ste_code: ["42"]
{
"year": "2023",
"ste_code": [
"42"
],
"ste_name": [
"Pennsylvania"
],
"coty_code": [
"42051"
],
"coty_name": [
"Fayette"
],
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-79.910054,
39.7283779990724
],
[
-79.904156,
39.7277839990724
],
[
-79.896765,
39.73396499907237
],
[
-79.895262,
39.74079299907232
],
[
-79.903438,
39.743076999072315
],
[
-79.903919,
39.73780899907235
],
[
-79.910054,
39.7283779990724
]
]
]
},
"properties": {}
},
"cousub_code": [
"4205161864"
],
"cousub_name": [
"Point Marion"
],
"cousub_type": "borough",
"geo_point_2d": {
"lat": 39.73514613020282,
"lon": -79.90190763405016
},
"cousub_fp_code": "61864",
"cousub_area_code": "USA",
"cousub_gnis_code": "01215236",
"cousub_name_long": [
"Point Marion borough"
]
}Record 4year: 2023 · ste_code: ["42"]
{
"year": "2023",
"ste_code": [
"42"
],
"ste_name": [
"Pennsylvania"
],
"coty_code": [
"42077"
],
"coty_name": [
"Lehigh"
],
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-75.380396,
40.5066579990681
],
[
-75.382333,
40.51643299906805
],
[
-75.390793,
40.51642399906805
],
[
-75.399807,
40.51174999906807
],
[
-75.398821,
40.5052889990681
],
[
-75.388292,
40.50169699906813
],
[
-75.386717,
40.50266899906811
],
[
-75.382017,
40.50563099906811
],
[
-75.380396,
40.5066579990681
]
]
]
},
"properties": {}
},
"cousub_code": [
"4207716056"
],
"cousub_name": [
"Coopersburg"
],
"cousub_type": "borough",
"geo_point_2d": {
"lat": 40.50949829143573,
"lon": -75.389727488074
},
"cousub_fp_code": "16056",
"cousub_area_code": "USA",
"cousub_gnis_code": "01215374",
"cousub_name_long": [
"Coopersburg borough"
]
}Record 5year: 2023 · ste_code: ["42"]
{
"year": "2023",
"ste_code": [
"42"
],
"ste_name": [
"Pennsylvania"
],
"coty_code": [
"42117"
],
"coty_name": [
"Tioga"
],
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-77.048276,
41.91337399906207
],
[
-77.045331,
41.85602299906226
],
[
-77.024738,
41.856099999062266
],
[
-77.023727,
41.83354899906235
],
[
-76.904024,
41.83811899906233
],
[
-76.911778,
41.89668999906214
],
[
-76.914221,
41.914939999062064
],
[
-77.048276,
41.91337399906207
]
],
[
[
-76.963779,
41.86044899906225
],
[
-76.963405,
41.868619999062226
],
[
-76.953269,
41.86949699906222
],
[
-76.951321,
41.85824299906226
],
[
-76.963779,
41.86044899906225
]
]
]
},
"properties": {}
},
"cousub_code": [
"4211766912"
],
"cousub_name": [
"Rutland"
],
"cousub_type": "township",
"geo_point_2d": {
"lat": 41.87596480228431,
"lon": -76.97578761189439
},
"cousub_fp_code": "66912",
"cousub_area_code": "USA",
"cousub_gnis_code": "01217121",
"cousub_name_long": [
"Rutland township"
]
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-united-states-of-america-county-subdivision
License
Terms stated by the source (not a recognized license):
https://en.wikipedia.org/wiki/Public_domain
Query examples
curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-united-states-of-america-county-subdivision/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.