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P

Province - Vintage/Millésimé - Italy

Name: Province - Vintage/Millésimé - Italy
Creator: opendatasoft

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This API provides geographic reference data for Italian provinces (province) covering the years 2019 to 2021, part of the Geographical repository maintained by Opendatasoft. Source data comes from ISTAT, Italy's national statistics institute. The dataset includes multiple administrative levels, such as groups of regions, regions, provinces, and comuni, along with enhancements including Italian ISO 3166-3 codes and simplified geometries. It is useful for mapping, administrative analysis, and linking statistical data to Italian territorial units at various levels of granularity.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)

Filterable via the API (12)

yearrip_coderip_namereg_codereg_nameprov_codeprov_nameprov_name_upperprov_name_lowerprov_area_codeprov_typeprov_sigla

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 7 days 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: 2020 · reg_code: 19

{
  "year": "2020",
  "reg_code": "19",
  "reg_name": "Sicilia",
  "rip_code": "5",
  "rip_name": "Isole",
  "geo_shape": "[large value omitted]",
  "prov_code": "85",
  "prov_name": "Caltanissetta",
  "prov_type": "Libero consorzio di comuni",
  "prov_sigla": "CL",
  "geo_point_2d": {
    "lat": 37.35657563171264,
    "lon": 14.072874662801537
  },
  "prov_area_code": "ITA",
  "prov_name_lower": "caltanissetta",
  "prov_name_upper": "CALTANISSETTA"
}

Record 2year: 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 3year: 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 4year: 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 5year: 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"
}

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-italy-provincia-millesime

License

Creative Commons Attribution 3.0Open

✓ Redistributable
✓ 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.

Full API documentation ↗

Rate limits

10 000 000 req/day

per ipmeasured

observed 7 days ago

Dataset

Volume & freshness

Records

428

Update cadence

Annual

declared upstream

Last upstream update

4 years ago

2022-06-02

Temporal coverage

2019 → ongoing

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

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Province - Vintage/Millésimé - Italy

Trust score

Data schema (14 fields)

Query the data

Sample data (5 records)

Verification Status

Using the API

Configuration

License

Query examples

Rate limits

Dataset

Volume & freshness

License

Machine-readable & source