Gruppi di regioni - Vintage/Millésimé - Italy
This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for group of regions (macroregions, also called ripartizione geografica ) in Italy from 2019 to 2021. The data is sourced from ISTAT . Available levels Groups of regions Regions Provinces Co...
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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 | — |
| rip_codeOfficial Code Ripartizione geografica | text | — |
| rip_nameOfficial Name Ripartizione geografica | text | — |
| rip_name_upperOfficial Name Ripartizione geografica upper case | text | — |
| rip_name_lowerOfficial Name Ripartizione geografica lower case | text | — |
| rip_area_codeIso 3166-3 Area Code | text | — |
| rip_typeType | text | — |
Schema captured from opendatasoft 46 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.
Sample data (5 records)
Record 1year: 2022 · rip_code: 2
{
"year": "2022",
"rip_code": "2",
"rip_name": "Nord-Est",
"rip_type": "Ripartizione geografica",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 45.49029832417393,
"lon": 11.593121904833785
},
"rip_area_code": "ITA",
"rip_name_lower": "nord-est",
"rip_name_upper": "NORD-EST"
}Record 2year: 2020 · rip_code: 1
{
"year": "2020",
"rip_code": "1",
"rip_name": "Nord-Ovest",
"rip_type": "Ripartizione geografica",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 45.257625662093446,
"lon": 8.729861893464946
},
"rip_area_code": "ITA",
"rip_name_lower": "nord-ovest",
"rip_name_upper": "NORD-OVEST"
}Record 3year: 2022 · rip_code: 5
{
"year": "2022",
"rip_code": "5",
"rip_name": "Isole",
"rip_type": "Ripartizione geografica",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 38.81964472088525,
"lon": 11.626622044098642
},
"rip_area_code": "ITA",
"rip_name_lower": "isole",
"rip_name_upper": "ISOLE"
}Record 4year: 2020 · rip_code: 3
{
"year": "2020",
"rip_code": "3",
"rip_name": "Centro",
"rip_type": "Ripartizione geografica",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 42.93398408589283,
"lon": 12.131500389037209
},
"rip_area_code": "ITA",
"rip_name_lower": "centro",
"rip_name_upper": "CENTRO"
}Record 5year: 2020 · rip_code: 4
{
"year": "2020",
"rip_code": "4",
"rip_name": "Sud",
"rip_type": "Ripartizione geografica",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 40.74061567777511,
"lon": 15.619900530017969
},
"rip_area_code": "ITA",
"rip_name_lower": "sud",
"rip_name_upper": "SUD"
}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-italy-ripartizione-geografica-millesime
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-italy-ripartizione-geografica-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.
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Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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