Districts - Vintage/Millésimé - Portugal
This dataset is part of the Geographical repository maintained by Huwise. This dataset contains data for districts in Portugal. Processors and tools are using this data. Enhancements Add Portugal ISO 3166-3 code. Simplify geometries to provide better performance across the services.
Trust score
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Data schema (9 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | — |
| geo_shapeShape | geo_shape | — |
| year | date | — |
| dis_codeOfficial Code District | text | — |
| dis_nameOfficial Name District | text | — |
| dis_name_upperOfficial Name District upper case | text | — |
| dis_name_lowerOfficial Name District lower case | text | — |
| dis_area_codeIso 3166-3 Area Code | text | — |
| dis_typeType | 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 · dis_code: 15
{
"year": "2020",
"dis_code": "15",
"dis_name": "Setúbal",
"dis_type": "district",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 38.31845072390471,
"lon": -8.652854025297398
},
"dis_area_code": "PRT",
"dis_name_lower": "setúbal",
"dis_name_upper": "SETÚBAL"
}Record 2year: 2018 · dis_code: 30
{
"year": "2018",
"dis_code": "30",
"dis_name": "Madeira",
"dis_type": "autonomous region",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 32.75098112012344,
"lon": -16.951294277494014
},
"dis_area_code": "PRT",
"dis_name_lower": "madeira",
"dis_name_upper": "MADEIRA"
}Record 3year: 2019 · dis_code: 13
{
"year": "2019",
"dis_code": "13",
"dis_name": "Porto",
"dis_type": "district",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 41.22479231254471,
"lon": -8.352737039750593
},
"dis_area_code": "PRT",
"dis_name_lower": "porto",
"dis_name_upper": "PORTO"
}Record 4year: 2019 · dis_code: 04
{
"year": "2019",
"dis_code": "04",
"dis_name": "Bragança",
"dis_type": "district",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 41.50940475563279,
"lon": -6.8593365389485665
},
"dis_area_code": "PRT",
"dis_name_lower": "bragança",
"dis_name_upper": "BRAGANÇA"
}Record 5year: 2020 · dis_code: 30
{
"year": "2020",
"dis_code": "30",
"dis_name": "Madeira",
"dis_type": "autonomous region",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 32.75089768878848,
"lon": -16.951654784698395
},
"dis_area_code": "PRT",
"dis_name_lower": "madeira",
"dis_name_upper": "MADEIRA"
}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-portugal-distrito-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-portugal-distrito-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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