Places - Vintage/Millésimé - United States of America

Name: Places - Vintage/Millésimé - United States of America
Creator: opendatasoft

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This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for places and equivalent entities in United States of America. This layer both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorpora...

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Trust score

How is this computed?

poor

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

Data schema (16 fields)

Filterable via the API (14)

yearste_codeste_namecoty_codecoty_namecousub_codecousub_namepla_codepla_namepla_area_codepla_typepla_name_longpla_fp_codepla_gnis_code

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	—
—	pla_codeOfficial Code Place	text	—
100%	pla_nameOfficial Name Place	text	—
100%	pla_area_codeIso 3166-3 Area Code	text	—
99.9%	pla_typeType	text	—
100%	pla_name_longName with legal/statistical area description	text	—
100%	pla_fp_codePlace FIPS Code	text	—
100%	pla_gnis_codePlace 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.

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Sample data (5 records)

Record 1year: 2022 · pla_code: ["4741980"]

{
  "year": "2022",
  "pla_code": [
    "4741980"
  ],
  "pla_name": [
    "Lexington"
  ],
  "pla_type": "city",
  "ste_code": [
    "47"
  ],
  "ste_name": [
    "Tennessee"
  ],
  "coty_code": [
    "47077"
  ],
  "coty_name": [
    "Henderson"
  ],
  "geo_shape": "[large value omitted]",
  "cousub_code": [
    "4707790078",
    "4707790458",
    "4707790648",
    "4707790838",
    "4707791028"
  ],
  "cousub_name": [
    "1",
    "3",
    "4",
    "5",
    "6"
  ],
  "pla_fp_code": "41980",
  "geo_point_2d": {
    "lat": 35.661818422847766,
    "lon": -88.39442311983458
  },
  "pla_area_code": "USA",
  "pla_gnis_code": "02404920",
  "pla_name_long": [
    "Lexington city"
  ]
}

Record 2year: 2022 · pla_code: ["4815628"]

{
  "year": "2022",
  "pla_code": [
    "4815628"
  ],
  "pla_name": [
    "Cloverleaf"
  ],
  "pla_type": "CDP",
  "ste_code": [
    "48"
  ],
  "ste_name": [
    "Texas"
  ],
  "coty_code": [
    "48201"
  ],
  "coty_name": [
    "Harris"
  ],
  "geo_shape": "[large value omitted]",
  "cousub_code": [
    "4820191835"
  ],
  "cousub_name": [
    "Houston"
  ],
  "pla_fp_code": "15628",
  "geo_point_2d": {
    "lat": 29.788194001861406,
    "lon": -95.17239265320293
  },
  "pla_area_code": "USA",
  "pla_gnis_code": "02407640",
  "pla_name_long": [
    "Cloverleaf CDP"
  ]
}

Record 3year: 2022 · pla_code: ["4829972"]

{
  "year": "2022",
  "pla_code": [
    "4829972"
  ],
  "pla_name": [
    "Godley"
  ],
  "pla_type": "city",
  "ste_code": [
    "48"
  ],
  "ste_name": [
    "Texas"
  ],
  "coty_code": [
    "48251"
  ],
  "coty_name": [
    "Johnson"
  ],
  "geo_shape": "[large value omitted]",
  "cousub_code": [
    "4825191540"
  ],
  "cousub_name": [
    "Godley"
  ],
  "pla_fp_code": "29972",
  "geo_point_2d": {
    "lat": 32.45860422127183,
    "lon": -97.53240818492863
  },
  "pla_area_code": "USA",
  "pla_gnis_code": "02410607",
  "pla_name_long": [
    "Godley city"
  ]
}

Record 4year: 2022 · pla_code: ["4846848"]

{
  "year": "2022",
  "pla_code": [
    "4846848"
  ],
  "pla_name": [
    "Martindale"
  ],
  "pla_type": "city",
  "ste_code": [
    "48"
  ],
  "ste_name": [
    "Texas"
  ],
  "coty_code": [
    "48055"
  ],
  "coty_name": [
    "Caldwell"
  ],
  "geo_shape": "[large value omitted]",
  "cousub_code": [
    "4805592440"
  ],
  "cousub_name": [
    "Martindale"
  ],
  "pla_fp_code": "46848",
  "geo_point_2d": {
    "lat": 29.84460890660196,
    "lon": -97.83917057645881
  },
  "pla_area_code": "USA",
  "pla_gnis_code": "02411044",
  "pla_name_long": [
    "Martindale city"
  ]
}

Record 5year: 2022 · pla_code: ["5533175"]

{
  "year": "2022",
  "pla_code": [
    "5533175"
  ],
  "pla_name": [
    "Hatley"
  ],
  "pla_type": "village",
  "ste_code": [
    "55"
  ],
  "ste_name": [
    "Wisconsin"
  ],
  "coty_code": [
    "55073"
  ],
  "coty_name": [
    "Marathon"
  ],
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -89.35175,
            44.89259999905677
          ],
          [
            -89.351725,
            44.88897499905678
          ],
          [
            -89.349158,
            44.88894399905677
          ],
          [
            -89.349202,
            44.88533899905677
          ],
          [
            -89.347217,
            44.88531099905676
          ],
          [
            -89.347224,
            44.884510999056765
          ],
          [
            -89.34664,
            44.88449799905676
          ],
          [
            -89.346661,
            44.88166699905677
          ],
          [
            -89.341458,
            44.881654999056785
          ],
          [
            -89.340635,
            44.881853999056766
          ],
          [
            -89.338166,
            44.881839999056766
          ],
          [
            -89.338205,
            44.879411999056764
          ],
          [
            -89.339814,
            44.87943499905677
          ],
          [
            -89.339832,
            44.87848099905678
          ],
          [
            -89.340527,
            44.87848999905676
          ],
          [
            -89.340536,
            44.87811299905677
          ],
          [
            -89.335577,
            44.87808199905677
          ],
          [
            -89.334765,
            44.87798599905677
          ],
          [
            -89.330413,
            44.877944999056766
          ],
          [
            -89.330377,
            44.88151299905677
          ],
          [
            -89.3254,
            44.88145899905676
          ],
          [
            -89.325334,
            44.892301999056755
          ],
          [
            -89.334838,
            44.89240699905677
          ],
          [
            -89.340891,
            44.89245099905676
          ],
          [
            -89.34222,
            44.892491999056766
          ],
          [
            -89.347104,
            44.89252999905676
          ],
          [
            -89.35175,
            44.89259999905677
          ]
        ]
      ]
    },
    "properties": {}
  },
  "cousub_code": [
    "5507333175"
  ],
  "cousub_name": [
    "Hatley"
  ],
  "pla_fp_code": "33175",
  "geo_point_2d": {
    "lat": 44.88648989279094,
    "lon": -89.33709643644092
  },
  "pla_area_code": "USA",
  "pla_gnis_code": "01583364",
  "pla_name_long": [
    "Hatley village"
  ]
}

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-place-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-place-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

129k

129450

Update cadence

Annual

declared upstream

Last upstream update

2 years ago

2024-06-06

Temporal coverage

2020 → ongoing

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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