Personal Injury Road Accidents in Rennes MétropoleAccidents corporels sur Rennes Métropole

Accidents corporels sur Rennes MétropolePersonal Injury Road Accidents in Rennes Métropole

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This dataset published by Rennes Métropole (France) provides the geolocation of personal injury road accidents recorded within the territory of the Rennes metropolitan area. It is derived from official accident records, and users are advised to consult the accompanying methodological notes to understand how the layer is constructed, since the reliability of any statistical analysis drawn from this base depends on the recording and reporting practices used. The dataset is freely accessible without authentication and is intended for road safety analysis and local transport planning.Cette couche de données localise les accidents corporels de la circulation sur le territoire de Rennes Métropole. Voir la généalogie pour comprendre comment cette couche est constituée. La validité des exploitations statistiques qui peuvent être faites à partir de cette base dépend des modes de v...

transport

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Data schema (40 fields)

Filterable via the API (38)

gml_idobjectidaccidentunite_pvdateheurejsemcode_inseeinteradresseprnomvnumvrovehicule1usager1ntunbhnbnhnb_velo_dont_epdmwms_timevehicule2usager2pr_2nomv_2usager3vehicule3vehicule4usager4usager5numvro_2pietonvelomotovehicule5usager6usager7vehicule6usager8

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	Geographic point coordinates of the accident location.Geographic point coordinates of the accident location.
—	geo_shapeShape	geo_shape	Geometric shape (GeoJSON) of the accident location.Geometric shape (GeoJSON) of the accident location.
—	gml_idGml id	text	GML identifier of the accident record.GML identifier of the accident record.
—	objectid	int	Internal record identifier.Internal record identifier.
—	accident	int	Unique identifier number of the accident.Unique identifier number of the accident.
—	unite_pvUnite pv	text	Police or gendarmerie unit that recorded the report.Police or gendarmerie unit that recorded the report.
—	date	datetime	Date on which the accident occurred.Date on which the accident occurred.
—	heure	text	Time of day the accident occurred.Time of day the accident occurred.
—	jsem	text	Day of the week the accident occurred.Day of the week the accident occurred.
—	code_inseeINSEE commune code	int	INSEE code of the commune where the accident occurred.INSEE code of the commune where the accident occurred.
100%	inter	text	Type of road junction or layout where the accident occurred.Type of road junction or layout where the accident occurred.
97.8%	adresse	text	Address or road name where the accident occurred.Address or road name where the accident occurred.
55.4%	pr	text	Reference marker point on the main road.Reference marker point on the main road.
76.2%	nomv	text	Name of the main road where the accident occurred.Name of the main road where the accident occurred.
65.2%	numvro	text	Name of the nearest cross street or intersecting road.Name of the nearest cross street or intersecting road.
100%	vehicule1	text	Type of the first vehicle involved in the accident.Type of the first vehicle involved in the accident.
100%	usager1	text	Role of the first road user involved (driver, passenger, etc.).Role of the first road user involved (driver, passenger, etc.).
100%	ntu	int	Number of uninjured people involved in the accident.Number of uninjured people involved in the accident.
100%	nbh	int	Number of people hospitalized due to the accident.Number of people hospitalized due to the accident.
100%	nbnh	int	Number of people injured but not hospitalized.Number of people injured but not hospitalized.
47.4%	nb_velo_dont_epdmNb velo dont epdm	int	Number of bicycles involved, including personal mobility devices.Number of bicycles involved, including personal mobility devices.
0%	wms_timeWms time	datetime	Timestamp used for time-based WMS map display.Timestamp used for time-based WMS map display.
65.2%	vehicule2	text	Type of the second vehicle involved in the accident.Type of the second vehicle involved in the accident.
82.7%	usager2	text	Role of the second road user involved.Role of the second road user involved.
17%	pr_2Pr 2	text	Secondary reference marker point on the road.Secondary reference marker point on the road.
33.5%	nomv_2Nomv 2	text	Name of the secondary road involved.Name of the secondary road involved.
23.9%	usager3	text	Role of the third road user involved.Role of the third road user involved.
8.5%	vehicule3	text	Type of the third vehicle involved in the accident.Type of the third vehicle involved in the accident.
2.2%	vehicule4	text	Type of the fourth vehicle involved in the accident.Type of the fourth vehicle involved in the accident.
9.6%	usager4	text	Role of the fourth road user involved.Role of the fourth road user involved.
4.2%	usager5	text	Role of the fifth road user involved.Role of the fifth road user involved.
49.5%	numvro_2Numvro 2	text	Name of the secondary cross street or intersecting road.Name of the secondary cross street or intersecting road.
52.6%	pieton	text	Indicates whether a pedestrian was involved in the accident.Indicates whether a pedestrian was involved in the accident.
52.6%	velo	text	Indicates whether a bicycle was involved in the accident.Indicates whether a bicycle was involved in the accident.
52.6%	moto	text	Indicates whether a motorcycle was involved in the accident.Indicates whether a motorcycle was involved in the accident.
0.3%	vehicule5	text	Type of the fifth vehicle involved in the accident.Type of the fifth vehicle involved in the accident.
0.9%	usager6	text	Role of the sixth road user involved.Role of the sixth road user involved.
0.3%	usager7	text	Role of the seventh road user involved.Role of the seventh road user involved.
0.1%	vehicule6	text	Type of the sixth vehicle involved in the accident.Type of the sixth vehicle involved in the accident.
0.1%	usager8	text	Role of the eighth road user involved.Role of the eighth road user involved.

Schema captured from opendatasoft 2 days ago.

Query the data

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Sample data (5 records)

These rows are ODbL-1.0: share-alike. Reusing them obliges you to license any derived database on the same terms.

Record 1pr: N/C · nbh: 0

{
  "pr": "N/C",
  "nbh": 0,
  "ntu": 0,
  "date": null,
  "jsem": "Mardi",
  "moto": null,
  "nbnh": 1,
  "nomv": "Avenue d'Italie",
  "pr_2": "N/C",
  "velo": null,
  "heure": "08:20",
  "inter": "En X",
  "gml_id": "accident.2675",
  "nomv_2": "Boulevard Louis Volclair",
  "numvro": null,
  "pieton": null,
  "adresse": "VOLCLAIR (BD LOUIS)",
  "usager1": "Conducteur",
  "usager2": "Conducteur",
  "usager3": null,
  "usager4": null,
  "usager5": null,
  "usager6": null,
  "usager7": null,
  "usager8": null,
  "accident": 67247147,
  "numvro_2": null,
  "objectid": 2675,
  "unite_pv": "SP/35238/178",
  "wms_time": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        -1.667601764207649,
        48.08827339041368
      ]
    },
    "properties": {}
  },
  "vehicule1": "Véhicule de tourisme (VT)",
  "vehicule2": "Bicyclette",
  "vehicule3": null,
  "vehicule4": null,
  "vehicule5": null,
  "vehicule6": null,
  "code_insee": 35238,
  "geo_point_2d": {
    "lat": 48.08827339041368,
    "lon": -1.6676017642076486
  },
  "nb_velo_dont_epdm": 1
}

Record 2pr: N/C · nbh: 1

{
  "pr": "N/C",
  "nbh": 1,
  "ntu": 0,
  "date": null,
  "jsem": "Jeudi",
  "moto": null,
  "nbnh": 0,
  "nomv": null,
  "pr_2": "N/C",
  "velo": null,
  "heure": "18:50",
  "inter": "En X",
  "gml_id": "accident.1409",
  "nomv_2": "SEVIGNE (BD DE)",
  "numvro": null,
  "pieton": null,
  "adresse": "SEVIGNE (BD DE)",
  "usager1": "Conducteur",
  "usager2": "Conducteur",
  "usager3": null,
  "usager4": null,
  "usager5": null,
  "usager6": null,
  "usager7": null,
  "usager8": null,
  "accident": 103588,
  "numvro_2": null,
  "objectid": 1409,
  "unite_pv": "SP/35238/375",
  "wms_time": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        -1.664559999999101,
        48.11609999999554
      ]
    },
    "properties": {}
  },
  "vehicule1": "Véhicule de tourisme (VT)",
  "vehicule2": "Vélo par assistance électrique",
  "vehicule3": null,
  "vehicule4": null,
  "vehicule5": null,
  "vehicule6": null,
  "code_insee": 35238,
  "geo_point_2d": {
    "lat": 48.11609999999554,
    "lon": -1.6645599999991012
  },
  "nb_velo_dont_epdm": 1
}

Record 3pr: — · nbh: 0

{
  "pr": null,
  "nbh": 0,
  "ntu": 0,
  "date": null,
  "jsem": "Mardi",
  "moto": "Non",
  "nbnh": 1,
  "nomv": null,
  "pr_2": null,
  "velo": "Oui",
  "heure": "19:46",
  "inter": "En T",
  "gml_id": "accident.3627",
  "nomv_2": null,
  "numvro": "0",
  "pieton": "Non",
  "adresse": "86, METZ (BD DE)",
  "usager1": "Conducteur",
  "usager2": "Conducteur",
  "usager3": null,
  "usager4": null,
  "usager5": null,
  "usager6": null,
  "usager7": null,
  "usager8": null,
  "accident": 2951,
  "numvro_2": "0",
  "objectid": 3627,
  "unite_pv": "Sécurité publique 0035238 00282",
  "wms_time": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        -1.660835667720849,
        48.11938875469735
      ]
    },
    "properties": {}
  },
  "vehicule1": "VL",
  "vehicule2": "Bicyclette",
  "vehicule3": null,
  "vehicule4": null,
  "vehicule5": null,
  "vehicule6": null,
  "code_insee": 35238,
  "geo_point_2d": {
    "lat": 48.11938875469735,
    "lon": -1.6608356677208491
  },
  "nb_velo_dont_epdm": null
}

Record 4pr: N/C · nbh: 0

{
  "pr": "N/C",
  "nbh": 0,
  "ntu": 0,
  "date": null,
  "jsem": "Dimanche",
  "moto": null,
  "nbnh": 1,
  "nomv": "Rue Charles et Paul Géniaux",
  "pr_2": "N/C",
  "velo": null,
  "heure": "12:10",
  "inter": "En X",
  "gml_id": "accident.2734",
  "nomv_2": "Rue de Lorient",
  "numvro": null,
  "pieton": null,
  "adresse": "LORIENT (DE)",
  "usager1": "Conducteur",
  "usager2": "Conducteur",
  "usager3": "Passager",
  "usager4": "Passager",
  "usager5": null,
  "usager6": null,
  "usager7": null,
  "usager8": null,
  "accident": 67257146,
  "numvro_2": null,
  "objectid": 2734,
  "unite_pv": "SP/35238/276",
  "wms_time": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        -1.710330000004462,
        48.108970000001314
      ]
    },
    "properties": {}
  },
  "vehicule1": "Véhicule de tourisme (VT)",
  "vehicule2": "Véhicule de tourisme (VT)",
  "vehicule3": null,
  "vehicule4": null,
  "vehicule5": null,
  "vehicule6": null,
  "code_insee": 35238,
  "geo_point_2d": {
    "lat": 48.108970000001314,
    "lon": -1.7103300000044617
  },
  "nb_velo_dont_epdm": 0
}

Record 5pr: N/C · nbh: 0

{
  "pr": "N/C",
  "nbh": 0,
  "ntu": 0,
  "date": null,
  "jsem": "Lundi",
  "moto": null,
  "nbnh": 1,
  "nomv": "Rue Louis Braille",
  "pr_2": "N/C",
  "velo": null,
  "heure": "18:15",
  "inter": "En T",
  "gml_id": "accident.1637",
  "nomv_2": "TILLION (AVENUE GERMAINE)",
  "numvro": null,
  "pieton": null,
  "adresse": "TILLION (AVENUE GERMAINE)",
  "usager1": "Conducteur",
  "usager2": "Piéton",
  "usager3": null,
  "usager4": null,
  "usager5": null,
  "usager6": null,
  "usager7": null,
  "usager8": null,
  "accident": 424445,
  "numvro_2": null,
  "objectid": 1637,
  "unite_pv": "SP/35238/209",
  "wms_time": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        -1.704046368613146,
        48.09315129296022
      ]
    },
    "properties": {}
  },
  "vehicule1": "Véhicule de tourisme (VT)",
  "vehicule2": null,
  "vehicule3": null,
  "vehicule4": null,
  "vehicule5": null,
  "vehicule6": null,
  "code_insee": 35281,
  "geo_point_2d": {
    "lat": 48.09315129296022,
    "lon": -1.704046368613146
  },
  "nb_velo_dont_epdm": 0
}

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

Verification Status

Using the API

Configuration

Base URL: https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/accidents_corporels

License

Open Data Commons Open Database License 1.0Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/accidents_corporels/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

7 000 req/day

per ipmeasured

observed 2 days ago

Dataset

Volume & freshness

Records

7.1k

7082

Last upstream update

3 days ago

2026-10-20

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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