Counties - Vintage/Millésimé - United States of America
This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for counties and equivalent entities in United States of America. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alas...
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Data schema (12 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 | — |
| — | coty_area_codeIso 3166-3 Area Code | text | — |
| — | coty_typeType | text | — |
| — | coty_name_longName with legal/statistical area description | text | — |
| 100% | coty_fp_codeCounty FIPS Code | text | — |
| 100% | coty_gnis_codeCounty GNIS Code | text | — |
Schema captured from opendatasoft 1 hour 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: 2020 · ste_code: ["01"]
{
"year": "2020",
"ste_code": [
"01"
],
"ste_name": [
"Alabama"
],
"coty_code": [
"01125"
],
"coty_name": [
"Tuscaloosa"
],
"coty_type": "county",
"geo_shape": "[large value omitted]",
"coty_fp_code": "125",
"geo_point_2d": {
"lat": 33.28954982138746,
"lon": -87.52502630948108
},
"coty_area_code": "USA",
"coty_gnis_code": "00161588",
"coty_name_long": [
"Tuscaloosa County"
]
}Record 2year: 2022 · ste_code: ["51"]
{
"year": "2022",
"ste_code": [
"51"
],
"ste_name": [
"Virginia"
],
"coty_code": [
"51690"
],
"coty_name": [
"Martinsville"
],
"coty_type": "city",
"geo_shape": "[large value omitted]",
"coty_fp_code": "690",
"geo_point_2d": {
"lat": 36.682658755114545,
"lon": -79.86363208803921
},
"coty_area_code": "USA",
"coty_gnis_code": "01789072",
"coty_name_long": [
"Martinsville city"
]
}Record 3year: 2022 · ste_code: ["48"]
{
"year": "2022",
"ste_code": [
"48"
],
"ste_name": [
"Texas"
],
"coty_code": [
"48375"
],
"coty_name": [
"Potter"
],
"coty_type": "county",
"geo_shape": "[large value omitted]",
"coty_fp_code": "375",
"geo_point_2d": {
"lat": 35.401275787820076,
"lon": -101.8940049801046
},
"coty_area_code": "USA",
"coty_gnis_code": "01383973",
"coty_name_long": [
"Potter County"
]
}Record 4year: 2023 · ste_code: ["05"]
{
"year": "2023",
"ste_code": [
"05"
],
"ste_name": [
"Arkansas"
],
"coty_code": [
"05081"
],
"coty_name": [
"Little River"
],
"coty_type": "county",
"geo_shape": "[large value omitted]",
"coty_fp_code": "081",
"geo_point_2d": {
"lat": 33.70093678061953,
"lon": -94.23529095388783
},
"coty_area_code": "USA",
"coty_gnis_code": "00066874",
"coty_name_long": [
"Little River County"
]
}Record 5year: 2021 · ste_code: ["55"]
{
"year": "2021",
"ste_code": [
"55"
],
"ste_name": [
"Wisconsin"
],
"coty_code": [
"55021"
],
"coty_name": [
"Columbia"
],
"coty_type": "county",
"geo_shape": "[large value omitted]",
"coty_fp_code": "021",
"geo_point_2d": {
"lat": 43.46660808921874,
"lon": -89.33373626762568
},
"coty_area_code": "USA",
"coty_gnis_code": "01581070",
"coty_name_long": [
"Columbia County"
]
}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-millesime
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-millesime/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
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