Census divisions - Vintage/Millésimé - Canada

Name: Census divisions - Vintage/Millésimé - Canada
Creator: opendatasoft

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

This dataset is part of the geographical reference repository maintained by Opendatasoft. It provides data for all Census Divisions (CDs) in Canada, a general term for provincially legislated administrative areas such as counties, municipalités régionales de comté, and regional districts, or their equivalents used for statistical and administrative purposes. The dataset is a 'vintage' or dated release, reflecting boundaries and attributes as defined at a specific point in time. It is accessible without authentication and can be used for geographic analysis, mapping, and integration with other statistical or administrative datasets referencing Canadian census geography.This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for all Census Divisions in Canada. Census division (CD) is the general term for provincially legislated areas (such as county, municipalité régionale de comté and regional district) or thei...

⬇ Export CSV List records Select & filter Run verified request Read the docs

Trust score

How is this computed?

fair

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

Data schema (11 fields)

Filterable via the API (9)

yearprov_codeprov_name_encd_codecd_name_encd_area_codecd_typecd_name_frprov_name_fr

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	—
—	geo_shapeShape	geo_shape	—
—	year	date	—
—	prov_codeOfficial Code Province / Territory	text	—
—	prov_name_enOfficial Name Province / Territory (English)	text	—
—	cd_codeOfficial Code Census Division	text	—
—	cd_name_enOfficial Name Census Division (English)	text	—
—	cd_area_codeIso 3166-3 Area Code	text	—
—	cd_typeType (English / French)	text	—
—	cd_name_frOfficial Name Census Division (French)	text	—
100%	prov_name_frOfficial Name Province / Territory (French)	text	—

Schema captured from opendatasoft 2 minutes 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.

Where=

Sort by

Sample data (5 records)

Record 1year: 2019 · cd_code: ["5953"]

{
  "year": "2019",
  "cd_code": [
    "5953"
  ],
  "cd_type": "Regional district",
  "geo_shape": "[large value omitted]",
  "prov_code": [
    "59"
  ],
  "cd_name_en": [
    "Fraser-Fort George"
  ],
  "cd_name_fr": "Fraser-Fort George",
  "cd_area_code": "CAN",
  "geo_point_2d": {
    "lat": 54.031894928383394,
    "lon": -121.65918969698595
  },
  "prov_name_en": [
    "British Columbia"
  ],
  "prov_name_fr": "Colombie-Britannique"
}

Record 2year: 2019 · cd_code: ["3510"]

{
  "year": "2019",
  "cd_code": [
    "3510"
  ],
  "cd_type": "County",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -76.76980018023879,
              45.1422856272579
            ],
            [
              -76.81473035720498,
              45.221399496424205
            ],
            [
              -76.89151103021084,
              45.19352808439882
            ],
            [
              -76.93200322789617,
              45.210735395701164
            ],
            [
              -76.9823498378044,
              45.18205427185718
            ],
            [
              -76.97068421800685,
              45.14532242243912
            ],
            [
              -77.13748229533431,
              45.09926047729982
            ],
            [
              -77.0657872049069,
              44.96253200100507
            ],
            [
              -77.22135925824035,
              44.919541956201144
            ],
            [
              -77.1680600047643,
              44.76356496424964
            ],
            [
              -77.11816285346012,
              44.77700955474119
            ],
            [
              -77.03219156423359,
              44.61195962041829
            ],
            [
              -76.92464823182992,
              44.63847999763241
            ],
            [
              -76.71380700521554,
              44.353221106475424
            ],
            [
              -76.6260684543266,
              44.22116349398306
            ],
            [
              -76.56472775241177,
              44.20847933164987
            ],
            [
              -76.42786469120146,
              44.236192200766084
            ],
            [
              -76.33385200816281,
              44.27360207602611
            ],
            [
              -76.31136115196597,
              44.29563176819804
            ],
            [
              -76.2337837434504,
              44.309516561587124
            ],
            [
              -76.25493228196513,
              44.49795390257606
            ],
            [
              -76.27783830210655,
              44.5014071081761
            ],
            [
              -76.36381115208586,
              44.572856692770756
            ],
            [
              -76.52566459620097,
              44.72119583471581
            ],
            [
              -76.53176094031127,
              44.71746450624493
            ],
            [
              -76.76980018023879,
              45.1422856272579
            ]
          ]
        ],
        [
          [
            [
              -76.18365211536765,
              44.23692241570274
            ],
            [
              -76.31261160789907,
              44.222305689571165
            ],
            [
              -76.39159862802042,
              44.2228741460921
            ],
            [
              -76.50520083150059,
              44.16776596710175
            ],
            [
              -76.4519370462894,
              44.14004145034403
            ],
            [
              -76.43535394093527,
              44.10214937410533
            ],
            [
              -76.38678738831005,
              44.12451918528912
            ],
            [
              -76.34658247909891,
              44.17143871395165
            ],
            [
              -76.36755259601682,
              44.197100611838046
            ],
            [
              -76.24427138509542,
              44.206459863250004
            ],
            [
              -76.18365211536765,
              44.23692241570274
            ]
          ]
        ],
        [
          [
            [
              -76.205055626068,
              44.30447339159392
            ],
            [
              -76.28144801354526,
              44.298897275179975
            ],
            [
              -76.34253767194437,
              44.263786047753506
            ],
            [
              -76.30666580311275,
              44.24611496016563
            ],
            [
              -76.2174458606352,
              44.27916962669221
            ],
            [
              -76.205055626068,
              44.30447339159392
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "prov_code": [
    "35"
  ],
  "cd_name_en": [
    "Frontenac"
  ],
  "cd_name_fr": "Frontenac",
  "cd_area_code": "CAN",
  "geo_point_2d": {
    "lat": 44.67704218558389,
    "lon": -76.7179372067264
  },
  "prov_name_en": [
    "Ontario"
  ],
  "prov_name_fr": "Ontario"
}

Record 3year: 2016 · cd_code: ["4806"]

{
  "year": "2016",
  "cd_code": [
    "4806"
  ],
  "cd_type": "Census division / Division de recensement",
  "geo_shape": "[large value omitted]",
  "prov_code": [
    "48"
  ],
  "cd_name_en": [
    "Division No.  6"
  ],
  "cd_name_fr": "Division No.  6",
  "cd_area_code": "CAN",
  "geo_point_2d": {
    "lat": 51.17457356059371,
    "lon": -114.13168360575987
  },
  "prov_name_en": [
    "Alberta"
  ],
  "prov_name_fr": "Alberta"
}

Record 4year: 2019 · cd_code: ["1011"]

{
  "year": "2019",
  "cd_code": [
    "1011"
  ],
  "cd_type": "Census division / Division de recensement",
  "geo_shape": "[large value omitted]",
  "prov_code": [
    "10"
  ],
  "cd_name_en": [
    "Division No. 11"
  ],
  "cd_name_fr": "Division No. 11",
  "cd_area_code": "CAN",
  "geo_point_2d": {
    "lat": 56.55267043715855,
    "lon": -61.85535069400267
  },
  "prov_name_en": [
    "Newfoundland and Labrador"
  ],
  "prov_name_fr": "Terre-Neuve-et-Labrador"
}

Record 5year: 2019 · cd_code: ["2435"]

{
  "year": "2019",
  "cd_code": [
    "2435"
  ],
  "cd_type": "Municipalité régionale de comté",
  "geo_shape": "[large value omitted]",
  "prov_code": [
    "24"
  ],
  "cd_name_en": [
    "Mékinac"
  ],
  "cd_name_fr": "Mékinac",
  "cd_area_code": "CAN",
  "geo_point_2d": {
    "lat": 47.043819302601875,
    "lon": -73.13836954398307
  },
  "prov_name_en": [
    "Quebec"
  ],
  "prov_name_fr": "Québec"
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-canada-census-division-millesime

License

Terms stated by the source (not a recognized license):

https://www.statcan.gc.ca/eng/reference/licence

Query examples

curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-canada-census-division-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 minutes ago

Dataset

Volume & freshness

Records

879

Update cadence

Irregular

declared upstream

Last upstream update

4 years ago

2023-01-30

Temporal coverage

2016 → 2019

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.