IRIS Boundaries - 2016 GeographyContours IRIS - géographie 2016

Contours IRIS - géographie 2016IRIS Boundaries - 2016 Geography

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This dataset provides the 2016 IRIS geographic breakdown, a statistical unit used by INSEE for sub-municipal analysis in France. It represents the division of the territory's departments into these IRIS zones. Published as open data, it is available for download in an additional format, including AutoCAD DWG, making it usable in geographic information systems and CAD software for spatial analysis and mapping purposes.Dictionnaire Public Ce jeu de données représente le découpage des départements. Ce jeu de données est disponible dans un format additionnel : Téléchargement au format AutoCAD DWG

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Trust score

How is this computed?

fair

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

Data schema (12 fields)

Filterable via the API (10)

gidgeom_erridentcdatemdateinseenom_comirisnom_iristyp_iris

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	Latitude and longitude of the IRIS area centroid.Latitude and longitude of the IRIS area centroid.
—	geo_shapeShape	geo_shape	Geographic boundary polygon of the IRIS area.Geographic boundary polygon of the IRIS area.
—	gid	int	Primary key identifier for the record.Clé primaire
—	geom_errGeom err	text	Error code indicating a geometric anomaly in the shape, if any.Code d'erreur géométrique : Liste des valeurs possibles : 9999 : Polygone compose et / ou à sections multiples 9998 : Linéaire compose et / ou à sections multiples 9996 : La géométrie contient des informations LRS 9995 : Nombre de dimensions différent de 2 ou 3 9994 : Présence d'un arc de cercle 9000 : Erreur autre 13343 : Polygone de moins de 4 points 13349 : Polygone papillon 13350 : Deux éléments d'un polygone archipel se touchent 13351 : Deux éléments d'un polygone archipel se touchent 13356 : Point double 13366 : Combinaison invalide d'intérieur / extérieur d'un polygone 13367 : Orientation invalide d'intérieur / extérieur d'un polygone
—	ident	text	IRIS identifier code (DCOMIRIS).Identifiant de l' IRIS (DCOMIRIS)
—	cdate	datetime	Date the record was created.Date de création
—	mdate	datetime	Date the record was last modified.Date de modification
—	insee	text	INSEE code identifying the municipality (commune).Code Insee de la commune : Liste des valeurs possibles : 33003 : Ambarès-et-Lagrave 33004 : Ambès 33013 : Artigues-Près-Bordeaux 33032 : Bassens 33039 : Bègles 33056 : Blanquefort 33063 : Bordeaux 33065 : Bouliac 33069 : Le Bouscat 33075 : Bruges 33096 : Carbon-Blanc 33119 : Cenon 33162 : Eysines 33167 : Floirac 33192 : Gradignan 33200 : Le Haillan 33249 : Lormont 33273 : Martignas-sur-Jalle 33281 : Mérignac 33312 : Parempuyre 33318 : Pessac 33376 : Saint-Aubin-de-Médoc 33434 : Saint-Louis-de-Montferrand 33449 : Saint-Médard-en-Jalles 33487 : Saint-Vincent-de-Paul 33519 : Le Taillan-Médoc 33522 : Talence 33550 : Villenave-d'Ornon
—	nom_comNom com	text	Name of the municipality (commune).Nom de la commune
—	iris	text	IRIS code within the municipality.Code IRIS
100%	nom_irisNom iris	text	Name of the IRIS area.NOM_IRIS
100%	typ_irisTyp iris	text	Type classification code of the IRIS area.TYP_IRIS

Schema captured from opendatasoft 2 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 1gid: 408 · iris: 0000

{
  "gid": 408,
  "iris": "0000",
  "cdate": "2022-06-21T13:58:23+00:00",
  "ident": "330040000",
  "insee": "33004",
  "mdate": "2022-06-21T13:58:23+00:00",
  "nom_com": "Ambès",
  "geom_err": null,
  "nom_iris": "Ambès",
  "typ_iris": "Z",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 45.01191241833498,
    "lon": -0.5490730506145669
  }
}

Record 2gid: 562 · iris: 0000

{
  "gid": 562,
  "iris": "0000",
  "cdate": "2022-06-21T13:58:23+00:00",
  "ident": "334390000",
  "insee": "33439",
  "mdate": "2022-06-21T13:58:23+00:00",
  "nom_com": "Saint-Mariens",
  "geom_err": null,
  "nom_iris": "Saint-Mariens",
  "typ_iris": "Z",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 45.12104837268492,
    "lon": -0.4047781207244689
  }
}

Record 3gid: 653 · iris: 0000

{
  "gid": 653,
  "iris": "0000",
  "cdate": "2022-06-21T13:58:23+00:00",
  "ident": "332320000",
  "insee": "33232",
  "mdate": "2022-06-21T13:58:23+00:00",
  "nom_com": "Lartigue",
  "geom_err": null,
  "nom_iris": "Lartigue",
  "typ_iris": "Z",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 44.2529566273666,
    "lon": -0.09138109909657018
  }
}

Record 4gid: 795 · iris: 0000

{
  "gid": 795,
  "iris": "0000",
  "cdate": "2022-06-21T13:58:23+00:00",
  "ident": "334610000",
  "insee": "33461",
  "mdate": "2022-06-21T13:58:23+00:00",
  "nom_com": "Saint-Philippe-d'Aiguille",
  "geom_err": null,
  "nom_iris": "Saint-Philippe-d'Aiguille",
  "typ_iris": "Z",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 44.91557337706918,
    "lon": -0.03817739747372474
  }
}

Record 5gid: 737 · iris: 0000

{
  "gid": 737,
  "iris": "0000",
  "cdate": "2022-06-21T13:58:23+00:00",
  "ident": "333840000",
  "insee": "33384",
  "mdate": "2022-06-21T13:58:23+00:00",
  "nom_com": "Saint-Christophe-des-Bardes",
  "geom_err": null,
  "nom_iris": "Saint-Christophe-des-Bardes",
  "typ_iris": "Z",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 44.898072291559856,
    "lon": -0.1197903399269036
  }
}

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

Verification Status

Using the API

Configuration

Base URL: https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/se_iris16_s

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/se_iris16_s/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

50 000 req/day

per ipmeasured

observed 2 days ago

Dataset

Volume & freshness

Records

834

Last upstream update

29 days ago

2026-09-25

License

No license declared upstream.

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Source: opendatasoft

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JSON

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