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County Subdivisions - Vintage/Millésimé - United States of America

APIQuery nowOpen workbench🇫🇷France

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...

0
poor

Weighted across five axes. Tap a ring for what it measures.

Data schema (14 fields)

Filterable via the API (12)
yearste_codeste_namecoty_codecoty_namecousub_codecousub_namecousub_area_codecousub_typecousub_name_longcousub_fp_codecousub_gnis_code

Click a field to see example values.

FillFieldTypeDescription
geo_point_2dGeo Pointgeo_point_2d
geo_shapeShapegeo_shape
yearFilterable via the APIdate
ste_codeFilterable via the APIOfficial Code Statetext
ste_nameFilterable via the APIOfficial Name Statetext
coty_codeFilterable via the APIOfficial Code Countytext
coty_nameFilterable via the APIOfficial Name Countytext
cousub_codeFilterable via the APIOfficial Code County Subdivisiontext
cousub_nameFilterable via the APIOfficial Name County Subdivisiontext
cousub_area_codeFilterable via the APIIso 3166-3 Area Codetext
99.7%cousub_typeFilterable via the APITypetext
101%cousub_name_longFilterable via the APIName with legal/statistical area descriptiontext
100%cousub_fp_codeFilterable via the APICounty Subdivision FIPS Codetext
100%cousub_gnis_codeFilterable via the APICounty Subdivision GNIS Codetext

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: 2020 · ste_code: ["30"]
{
  "year": "2020",
  "ste_code": [
    "30"
  ],
  "ste_name": [
    "Montana"
  ],
  "coty_code": [
    "30085"
  ],
  "coty_name": [
    "Roosevelt"
  ],
  "geo_shape": "[large value omitted]",
  "cousub_code": [
    "3008591239"
  ],
  "cousub_name": [
    "Fort Peck Reservation"
  ],
  "cousub_type": "CCD",
  "geo_point_2d": {
    "lat": 48.318450344715764,
    "lon": -105.25677730361397
  },
  "cousub_fp_code": "91239",
  "cousub_area_code": "USA",
  "cousub_gnis_code": "01940619",
  "cousub_name_long": [
    "Fort Peck Reservation CCD"
  ]
}
Record 2year: 2020 · ste_code: ["31"]
{
  "year": "2020",
  "ste_code": [
    "31"
  ],
  "ste_name": [
    "Nebraska"
  ],
  "coty_code": [
    "31153"
  ],
  "coty_name": [
    "Sarpy"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -96.119624,
            41.18891199906488
          ],
          [
            -96.119622,
            41.18293899906492
          ],
          [
            -96.112611,
            41.182869999064906
          ],
          [
            -96.10876,
            41.183012999064914
          ],
          [
            -96.108636,
            41.183206999064915
          ],
          [
            -96.110583,
            41.1857309990649
          ],
          [
            -96.110596,
            41.18656399906489
          ],
          [
            -96.11039,
            41.18762399906489
          ],
          [
            -96.110464,
            41.19065899906488
          ],
          [
            -96.117824,
            41.19054799906489
          ],
          [
            -96.119599,
            41.19058799906488
          ],
          [
            -96.119624,
            41.18891199906488
          ]
        ]
      ]
    },
    "properties": {}
  },
  "cousub_code": [
    "3115392734"
  ],
  "cousub_name": [
    "Richland III"
  ],
  "cousub_type": "precinct",
  "geo_point_2d": {
    "lat": 41.186652779769254,
    "lon": -96.11484781013074
  },
  "cousub_fp_code": "92734",
  "cousub_area_code": "USA",
  "cousub_gnis_code": "01929238",
  "cousub_name_long": [
    "Richland III precinct"
  ]
}
Record 3year: 2020 · ste_code: ["34"]
{
  "year": "2020",
  "ste_code": [
    "34"
  ],
  "ste_name": [
    "New Jersey"
  ],
  "coty_code": [
    "34003"
  ],
  "coty_name": [
    "Bergen"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -74.137589,
            41.007801999065684
          ],
          [
            -74.137536,
            41.007494999065685
          ],
          [
            -74.138963,
            41.0070949990657
          ],
          [
            -74.139864,
            41.0067469990657
          ],
          [
            -74.141401,
            41.00590299906571
          ],
          [
            -74.142798,
            41.00453299906571
          ],
          [
            -74.145988,
            41.00191899906573
          ],
          [
            -74.150334,
            41.001776999065726
          ],
          [
            -74.155952,
            41.00153599906572
          ],
          [
            -74.156727,
            40.999742999065724
          ],
          [
            -74.157371,
            40.999057999065734
          ],
          [
            -74.153309,
            40.99675499906574
          ],
          [
            -74.15126,
            40.99301299906576
          ],
          [
            -74.152222,
            40.99156199906576
          ],
          [
            -74.154076,
            40.98995499906575
          ],
          [
            -74.150165,
            40.98721699906579
          ],
          [
            -74.144187,
            40.987113999065784
          ],
          [
            -74.143892,
            40.98731599906579
          ],
          [
            -74.14293,
            40.98652699906579
          ],
          [
            -74.142029,
            40.98545699906578
          ],
          [
            -74.141437,
            40.9841759990658
          ],
          [
            -74.14121,
            40.9827609990658
          ],
          [
            -74.141246,
            40.98206099906581
          ],
          [
            -74.136823,
            40.981825999065805
          ],
          [
            -74.135765,
            40.9835409990658
          ],
          [
            -74.135182,
            40.983184999065806
          ],
          [
            -74.132903,
            40.985502999065794
          ],
          [
            -74.132518,
            40.9860319990658
          ],
          [
            -74.129836,
            40.99076799906576
          ],
          [
            -74.127872,
            40.99445399906575
          ],
          [
            -74.132939,
            40.99549999906574
          ],
          [
            -74.13235,
            40.997388999065734
          ],
          [
            -74.130699,
            41.003048999065705
          ],
          [
            -74.130877,
            41.0064499990657
          ],
          [
            -74.13323,
            41.007006999065695
          ],
          [
            -74.137589,
            41.007801999065684
          ]
        ]
      ]
    },
    "properties": {}
  },
  "cousub_code": [
    "3400346110"
  ],
  "cousub_name": [
    "Midland Park"
  ],
  "cousub_type": "borough",
  "geo_point_2d": {
    "lat": 40.99518106553185,
    "lon": -74.14103354471357
  },
  "cousub_fp_code": "46110",
  "cousub_area_code": "USA",
  "cousub_gnis_code": "00885300",
  "cousub_name_long": [
    "Midland Park borough"
  ]
}
Record 4year: 2020 · ste_code: ["12"]
{
  "year": "2020",
  "ste_code": [
    "12"
  ],
  "ste_name": [
    "Florida"
  ],
  "coty_code": [
    "12063"
  ],
  "coty_name": [
    "Jackson"
  ],
  "geo_shape": "[large value omitted]",
  "cousub_code": [
    "1206390728"
  ],
  "cousub_name": [
    "Cypress"
  ],
  "cousub_type": "CCD",
  "geo_point_2d": {
    "lat": 30.70043284836054,
    "lon": -85.08985372795283
  },
  "cousub_fp_code": "90728",
  "cousub_area_code": "USA",
  "cousub_gnis_code": "01935737",
  "cousub_name_long": [
    "Cypress CCD"
  ]
}
Record 5year: 2020 · ste_code: ["13"]
{
  "year": "2020",
  "ste_code": [
    "13"
  ],
  "ste_name": [
    "Georgia"
  ],
  "coty_code": [
    "13013"
  ],
  "coty_name": [
    "Barrow"
  ],
  "geo_shape": "[large value omitted]",
  "cousub_code": [
    "1301390162"
  ],
  "cousub_name": [
    "Auburn"
  ],
  "cousub_type": "CCD",
  "geo_point_2d": {
    "lat": 34.03031025739776,
    "lon": -83.81112131085182
  },
  "cousub_fp_code": "90162",
  "cousub_area_code": "USA",
  "cousub_gnis_code": "01936092",
  "cousub_name_long": [
    "Auburn CCD"
  ]
}

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-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-subdivision-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.

Full API documentation ↗

Rate limits

10 000 000 req/day
per ipmeasured
observed 2 hours ago

Dataset

Volume & freshness

Records
146k
146244
Update cadence
Annual
declared upstream
Last upstream update
2 years ago
2024-06-06
Temporal coverage
2020 → ongoing

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

County Subdivisions - Vintage/Millésimé - United States of America — live verification badge

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