Province - Vintage/Millésimé - Italy
This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for province in Italy from 2019 to 2021. The data is sourced from ISTAT . Available levels Groups of regions Regions Provinces Comuni Enhancements Add Italian ISO 3166-3 code. Simplify geome...
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Data schema (14 fields)
Click a field to see example values.
| Fill | 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 | — |
| — | reg_codeOfficial Code Regione | text | — |
| — | reg_nameOfficial Name Regione | text | — |
| — | prov_codeOfficial Code Provincia/Città metropolitana | text | — |
| — | prov_nameOfficial Name Provincia/Città metropolitana | text | — |
| — | prov_name_upperOfficial Name Provincia/Città metropolitana upper case | text | — |
| 100% | prov_name_lowerOfficial Name Provincia/Città metropolitana lower case | text | — |
| 100% | prov_area_codeIso 3166-3 Area Code | text | — |
| 100% | prov_typeType | text | — |
| 100% | prov_siglaProvincia/Città metropolitana Sigla | 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.
Sample data (5 records)
Record 1year: 2022 · reg_code: 20
{
"year": "2022",
"reg_code": "20",
"reg_name": "Sardegna",
"rip_code": "5",
"rip_name": "Isole",
"geo_shape": "[large value omitted]",
"prov_code": "95",
"prov_name": "Oristano",
"prov_type": "Provincia",
"prov_sigla": "OR",
"geo_point_2d": {
"lat": 39.989614132947544,
"lon": 8.716707331699864
},
"prov_area_code": "ITA",
"prov_name_lower": "oristano",
"prov_name_upper": "ORISTANO"
}Record 2year: 2022 · reg_code: 8
{
"year": "2022",
"reg_code": "8",
"reg_name": "Emilia-Romagna",
"rip_code": "2",
"rip_name": "Nord-Est",
"geo_shape": "[large value omitted]",
"prov_code": "36",
"prov_name": "Modena",
"prov_type": "Provincia",
"prov_sigla": "MO",
"geo_point_2d": {
"lat": 44.53671340739956,
"lon": 10.892609586480846
},
"prov_area_code": "ITA",
"prov_name_lower": "modena",
"prov_name_upper": "MODENA"
}Record 3year: 2021 · reg_code: 13
{
"year": "2021",
"reg_code": "13",
"reg_name": "Abruzzo",
"rip_code": "4",
"rip_name": "Sud",
"geo_shape": "[large value omitted]",
"prov_code": "68",
"prov_name": "Pescara",
"prov_type": "Provincia",
"prov_sigla": "PE",
"geo_point_2d": {
"lat": 42.33212197467146,
"lon": 13.984002084399801
},
"prov_area_code": "ITA",
"prov_name_lower": "pescara",
"prov_name_upper": "PESCARA"
}Record 4year: 2021 · reg_code: 19
{
"year": "2021",
"reg_code": "19",
"reg_name": "Sicilia",
"rip_code": "5",
"rip_name": "Isole",
"geo_shape": "[large value omitted]",
"prov_code": "282",
"prov_name": "Palermo",
"prov_type": "Citta metropolitana",
"prov_sigla": "PA",
"geo_point_2d": {
"lat": 37.86951108406903,
"lon": 13.586591138428933
},
"prov_area_code": "ITA",
"prov_name_lower": "palermo",
"prov_name_upper": "PALERMO"
}Record 5year: 2019 · reg_code: 18
{
"year": "2019",
"reg_code": "18",
"reg_name": "Calabria",
"rip_code": "4",
"rip_name": "Sud",
"geo_shape": "[large value omitted]",
"prov_code": "280",
"prov_name": "Reggio di Calabria",
"prov_type": "Citta metropolitana",
"prov_sigla": "RC",
"geo_point_2d": {
"lat": 38.23902415253898,
"lon": 16.031669375833502
},
"prov_area_code": "ITA",
"prov_name_lower": "reggio di calabria",
"prov_name_upper": "REGGIO DI CALABRIA"
}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-provincia-millesime
License
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- ✓ Attribution required
Query examples
curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-italy-provincia-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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