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Bicycle Counts - Angers Loire MétropoleComptages vélo - Angers Loire Métropole

Comptages vélo - Angers Loire MétropoleBicycle Counts - Angers Loire Métropole

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This API provides bicycle traffic counts collected by cameras across the Angers Loire Métropole area in western France, maintained by the local authority Angers Loire Métropole. Counts are recorded over 7-day periods on dedicated cycle paths, lanes, pavements, or roads, with results broken down at hourly intervals. Data fields include the counter number, the name of the road or path, and a description of the section being monitored. The dataset is useful for analysing cycling activity patterns and informing local cycling infrastructure planning.Trafic vélo par caméras, sur un axe réservé (coulée verte, piste ou bande cyclable), un trottoir ou une voirie, pendant 7 jours, avec résultats au pas horaire sur le territoire d'Angers Loire Métropole. NUM_CPTR : Numéro compteur VOIE : Nom de la voie TRONCON : description des tronçons sur lequel...

transport
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Trust score

How is this computed?
57
fair

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

Data schema (60 fields)

Filterable via the API (58)
num_cptrvoietronconcommunecampagnesens1sens2date_debutdate_fins1_7_8hs1_s2_7_8hs2_7_8hs1_s2_8_9hs1_8_9hs2_8_9hs1_s2_9_10hs1_9_10hs2_9_10hs1_s2_16_17hs1_16_17hs2_16_17hs1_s2_17_18hs1_17_18hs2_17_18hs1_s2_18_19hs1_18_19hs2_18_19hs1_s2_19_20hs1_19_20hs2_19_20hs1_s2_20_21hs1_20_21hs2_20_21hs1_s2_21_22hs1_21_22hs2_21_22hhpmmax_nbrhpmmax_horhpmmoyhpsmax_nbrhpsmax_horhpsmoyhpjmax_nbrhpjmax_horhpjmoytmjo_s1tmjo_s2tmjotmjw_s1tmjw_s2tmjwtmja_s1tmja_s2tmjaobsanneeid_voie_ignsource

Click a field to see example values.

FillFieldTypeDescription
100%num_cptrFilterable via the APINum cptrintIdentifier number of the bicycle counter.Identifier number of the bicycle counter.
100%voieFilterable via the APItextName of the road or path where the counter is located.Name of the road or path where the counter is located.
100%tronconFilterable via the APItextDescription of the road section covered by the counter.Description of the road section covered by the counter.
100%communeFilterable via the APICommunetextName of the municipality where the counter is located.Name of the municipality where the counter is located.
100%campagneFilterable via the APItextMeasurement campaign period, e.g. year and month.Measurement campaign period, e.g. year and month.
100%sens1Filterable via the APItextDescription of the first direction of travel.Description of the first direction of travel.
100%sens2Filterable via the APItextDescription of the second direction of travel.Description of the second direction of travel.
100%date_debutFilterable via the APIDate debuttextStart date of the measurement period.Start date of the measurement period.
100%date_finFilterable via the APIDate fintextEnd date of the measurement period.End date of the measurement period.
100%s1_7_8hFilterable via the APIS1 7 8hintCyclist count in direction 1 between 7am and 8am.Cyclist count in direction 1 between 7am and 8am.
100%s1_s2_7_8hFilterable via the APIS1 s2 7 8hintTotal cyclist count in both directions between 7am and 8am.Total cyclist count in both directions between 7am and 8am.
100%s2_7_8hFilterable via the APIS2 7 8hintCyclist count in direction 2 between 7am and 8am.Cyclist count in direction 2 between 7am and 8am.
100%s1_s2_8_9hFilterable via the APIS1 s2 8 9hintTotal cyclist count in both directions between 8am and 9am.Total cyclist count in both directions between 8am and 9am.
100%s1_8_9hFilterable via the APIS1 8 9hintCyclist count in direction 1 between 8am and 9am.Cyclist count in direction 1 between 8am and 9am.
100%s2_8_9hFilterable via the APIS2 8 9hintCyclist count in direction 2 between 8am and 9am.Cyclist count in direction 2 between 8am and 9am.
100%s1_s2_9_10hFilterable via the APIS1 s2 9 10hintTotal cyclist count in both directions between 9am and 10am.Total cyclist count in both directions between 9am and 10am.
100%s1_9_10hFilterable via the APIS1 9 10hintCyclist count in direction 1 between 9am and 10am.Cyclist count in direction 1 between 9am and 10am.
100%s2_9_10hFilterable via the APIS2 9 10hintCyclist count in direction 2 between 9am and 10am.Cyclist count in direction 2 between 9am and 10am.
100%s1_s2_16_17hFilterable via the APIS1 s2 16 17hintTotal cyclist count in both directions between 4pm and 5pm.Total cyclist count in both directions between 4pm and 5pm.
100%s1_16_17hFilterable via the APIS1 16 17hintCyclist count in direction 1 between 4pm and 5pm.Cyclist count in direction 1 between 4pm and 5pm.
100%s2_16_17hFilterable via the APIS2 16 17hintCyclist count in direction 2 between 4pm and 5pm.Cyclist count in direction 2 between 4pm and 5pm.
100%s1_s2_17_18hFilterable via the APIS1 s2 17 18hintTotal cyclist count in both directions between 5pm and 6pm.Total cyclist count in both directions between 5pm and 6pm.
100%s1_17_18hFilterable via the APIS1 17 18hintCyclist count in direction 1 between 5pm and 6pm.Cyclist count in direction 1 between 5pm and 6pm.
100%s2_17_18hFilterable via the APIS2 17 18hintCyclist count in direction 2 between 5pm and 6pm.Cyclist count in direction 2 between 5pm and 6pm.
100%s1_s2_18_19hFilterable via the APIS1 s2 18 19hintTotal cyclist count in both directions between 6pm and 7pm.Total cyclist count in both directions between 6pm and 7pm.
100%s1_18_19hFilterable via the APIS1 18 19hintCyclist count in direction 1 between 6pm and 7pm.Cyclist count in direction 1 between 6pm and 7pm.
100%s2_18_19hFilterable via the APIS2 18 19hintCyclist count in direction 2 between 6pm and 7pm.Cyclist count in direction 2 between 6pm and 7pm.
100%s1_s2_19_20hFilterable via the APIS1 s2 19 20hintTotal cyclist count in both directions between 7pm and 8pm.Total cyclist count in both directions between 7pm and 8pm.
100%s1_19_20hFilterable via the APIS1 19 20hintCyclist count in direction 1 between 7pm and 8pm.Cyclist count in direction 1 between 7pm and 8pm.
100%s2_19_20hFilterable via the APIS2 19 20hintCyclist count in direction 2 between 7pm and 8pm.Cyclist count in direction 2 between 7pm and 8pm.
100%s1_s2_20_21hFilterable via the APIS1 s2 20 21hintTotal cyclist count in both directions between 8pm and 9pm.Total cyclist count in both directions between 8pm and 9pm.
100%s1_20_21hFilterable via the APIS1 20 21hintCyclist count in direction 1 between 8pm and 9pm.Cyclist count in direction 1 between 8pm and 9pm.
100%s2_20_21hFilterable via the APIS2 20 21hintCyclist count in direction 2 between 8pm and 9pm.Cyclist count in direction 2 between 8pm and 9pm.
100%s1_s2_21_22hFilterable via the APIS1 s2 21 22hintTotal cyclist count in both directions between 9pm and 10pm.Total cyclist count in both directions between 9pm and 10pm.
100%s1_21_22hFilterable via the APIS1 21 22hintCyclist count in direction 1 between 9pm and 10pm.Cyclist count in direction 1 between 9pm and 10pm.
100%s2_21_22hFilterable via the APIS2 21 22hintCyclist count in direction 2 between 9pm and 10pm.Cyclist count in direction 2 between 9pm and 10pm.
100%hpmmax_nbrFilterable via the APIHpmmax nbrtextMaximum cyclist count recorded during the morning peak hour.Maximum cyclist count recorded during the morning peak hour.
100%hpmmax_horFilterable via the APIHpmmax hortextTime slot of the morning peak hour maximum.Time slot of the morning peak hour maximum.
100%hpmmoyFilterable via the APItextAverage cyclist count during the morning peak hour.Average cyclist count during the morning peak hour.
100%hpsmax_nbrFilterable via the APIHpsmax nbrtextMaximum cyclist count recorded during the evening peak hour.Maximum cyclist count recorded during the evening peak hour.
100%hpsmax_horFilterable via the APIHpsmax hortextTime slot of the evening peak hour maximum.Time slot of the evening peak hour maximum.
100%hpsmoyFilterable via the APItextAverage cyclist count during the evening peak hour.Average cyclist count during the evening peak hour.
100%hpjmax_nbrFilterable via the APIHpjmax nbrtextMaximum cyclist count recorded during the busiest hour of the day.Maximum cyclist count recorded during the busiest hour of the day.
100%hpjmax_horFilterable via the APIHpjmax hortextTime slot of the busiest hour of the day.Time slot of the busiest hour of the day.
100%hpjmoyFilterable via the APItextAverage cyclist count during the busiest hour of the day.Average cyclist count during the busiest hour of the day.
100%tmjo_s1Filterable via the APITmjo s1intAverage weekday daily traffic in direction 1.Average weekday daily traffic in direction 1.
100%tmjo_s2Filterable via the APITmjo s2intAverage weekday daily traffic in direction 2.Average weekday daily traffic in direction 2.
100%tmjoFilterable via the APIintAverage weekday daily traffic in both directions.Average weekday daily traffic in both directions.
93.8%tmjw_s1Filterable via the APITmjw s1intAverage weekend daily traffic in direction 1.Average weekend daily traffic in direction 1.
93.8%tmjw_s2Filterable via the APITmjw s2intAverage weekend daily traffic in direction 2.Average weekend daily traffic in direction 2.
—tmjwFilterable via the APIintAverage weekend daily traffic in both directions.Average weekend daily traffic in both directions.
—tmja_s1Filterable via the APITmja s1intAverage annual daily traffic in direction 1.Average annual daily traffic in direction 1.
—tmja_s2Filterable via the APITmja s2intAverage annual daily traffic in direction 2.Average annual daily traffic in direction 2.
—tmjaFilterable via the APIintAverage annual daily traffic in both directions.Average annual daily traffic in both directions.
—obsFilterable via the APItextObservation or status note about the measurement.Observation or status note about the measurement.
—anneeFilterable via the APItextYear of the counting campaign.Year of the counting campaign.
—id_voie_ignFilterable via the APIId voie igntextIGN reference identifier for the road.IGN reference identifier for the road.
—sourceFilterable via the APItextOrganization that produced the data.Organization that produced the data.
—geo_point_2dGeo Pointgeo_point_2dGeographic coordinates of the counter location.Geographic coordinates of the counter location.
—geo_shapeShapegeo_shapeGeographic line shape of the road section counted.Geographic line shape of the road section counted.

Schema captured from opendatasoft 3 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.

=

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 1obs: ok · tmja: 90
{
  "obs": "ok",
  "tmja": 90,
  "tmjo": 90,
  "tmjw": 90,
  "voie": "Route de Laval",
  "annee": "2025",
  "sens1": "Vers Route de La Chevallerie (Nord-Ouest)",
  "sens2": "Vers D103 (Sud-Est)",
  "hpjmoy": "6",
  "hpmmoy": "6",
  "hpsmoy": "6",
  "source": "ANGERS LOIRE METROPOLE  - DIRECTION TRANSPORTS DEPLACEMENTS",
  "commune": "MONTREUIL-JUIGNÉ",
  "s1_7_8h": 3,
  "s1_8_9h": 4,
  "s2_7_8h": 5,
  "s2_8_9h": 5,
  "tmja_s1": 52,
  "tmja_s2": 38,
  "tmjo_s1": 52,
  "tmjo_s2": 38,
  "tmjw_s1": 52,
  "tmjw_s2": 38,
  "troncon": "Entre la RD103 et la route de Marcille",
  "campagne": "2025/09",
  "date_fin": "20251015",
  "num_cptr": 411,
  "s1_9_10h": 1,
  "s2_9_10h": 1,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.6354520897,
          47.5361104027,
          0
        ],
        [
          -0.6349795428,
          47.53651487,
          0
        ]
      ]
    },
    "properties": {}
  },
  "s1_16_17h": 1,
  "s1_17_18h": 4,
  "s1_18_19h": 4,
  "s1_19_20h": 7,
  "s1_20_21h": 7,
  "s1_21_22h": 4,
  "s2_16_17h": 1,
  "s2_17_18h": 2,
  "s2_18_19h": 3,
  "s2_19_20h": 1,
  "s2_20_21h": 0,
  "s2_21_22h": 0,
  "date_debut": "20251009000001",
  "hpjmax_hor": "S1S2_8_9H",
  "hpjmax_nbr": "9",
  "hpmmax_hor": "S1S2_8_9H",
  "hpmmax_nbr": "9",
  "hpsmax_hor": "S1S2_19_20H",
  "hpsmax_nbr": "8",
  "s1_s2_7_8h": 8,
  "s1_s2_8_9h": 9,
  "id_voie_ign": null,
  "s1_s2_9_10h": 2,
  "geo_point_2d": {
    "lat": 47.53631263635,
    "lon": -0.63521581625
  },
  "s1_s2_16_17h": 2,
  "s1_s2_17_18h": 6,
  "s1_s2_18_19h": 7,
  "s1_s2_19_20h": 8,
  "s1_s2_20_21h": 7,
  "s1_s2_21_22h": 4
}
Record 2obs: — · tmja: 82
{
  "obs": null,
  "tmja": 82,
  "tmjo": 93,
  "tmjw": 49,
  "voie": "Route d' Angers",
  "annee": "2023",
  "sens1": "Vers Chemin de la Chatte (Sud-Ouest",
  "sens2": "Vers La Machefèriere (Nord)",
  "hpjmoy": "7",
  "hpmmoy": "10",
  "hpsmoy": "6",
  "source": "ANGERS LOIRE METROPOLE  - DIRECTION TRANSPORTS DEPLACEMENTS",
  "commune": "ÉCOUFLANT",
  "s1_7_8h": 4,
  "s1_8_9h": 7,
  "s2_7_8h": 6,
  "s2_8_9h": 5,
  "tmja_s1": 39,
  "tmja_s2": 43,
  "tmjo_s1": 44,
  "tmjo_s2": 49,
  "tmjw_s1": 25,
  "tmjw_s2": 24,
  "troncon": "Entre Chemin de la Chatte et La Machefèriere",
  "campagne": "2023/10",
  "date_fin": "20231013",
  "num_cptr": 312,
  "s1_9_10h": 4,
  "s2_9_10h": 3,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5237313383,
          47.4994926368,
          0
        ],
        [
          -0.523134503,
          47.4992591476,
          0
        ]
      ]
    },
    "properties": {}
  },
  "s1_16_17h": 3,
  "s1_17_18h": 5,
  "s1_18_19h": 2,
  "s1_19_20h": 3,
  "s1_20_21h": 2,
  "s1_21_22h": 0,
  "s2_16_17h": 4,
  "s2_17_18h": 5,
  "s2_18_19h": 5,
  "s2_19_20h": 7,
  "s2_20_21h": 1,
  "s2_21_22h": 0,
  "date_debut": "20231007000001",
  "hpjmax_hor": "S1_S2_8_9H",
  "hpjmax_nbr": "12",
  "hpmmax_hor": "S1_S2_8_9H",
  "hpmmax_nbr": "12",
  "hpsmax_hor": "S1_S2_17_18H",
  "hpsmax_nbr": "10",
  "s1_s2_7_8h": 10,
  "s1_s2_8_9h": 12,
  "id_voie_ign": null,
  "s1_s2_9_10h": 7,
  "geo_point_2d": {
    "lat": 47.4993758922,
    "lon": -0.5234329206499999
  },
  "s1_s2_16_17h": 7,
  "s1_s2_17_18h": 10,
  "s1_s2_18_19h": 7,
  "s1_s2_19_20h": 10,
  "s1_s2_20_21h": 3,
  "s1_s2_21_22h": 0
}
Record 3obs: — · tmja: 1587
{
  "obs": null,
  "tmja": 1587,
  "tmjo": 1897,
  "tmjw": 913,
  "voie": "Rue Paul Bert",
  "annee": "2023",
  "sens1": "Vers Rue Chateaugontier (Nord-Ouest",
  "sens2": "Vers Rue Rabelais (Sud-Est)",
  "hpjmoy": "127",
  "hpmmoy": "135",
  "hpsmoy": "123",
  "source": "ANGERS LOIRE METROPOLE  - DIRECTION TRANSPORTS DEPLACEMENTS",
  "commune": "ANGERS",
  "s1_7_8h": 64,
  "s1_8_9h": 90,
  "s2_7_8h": 62,
  "s2_8_9h": 88,
  "tmja_s1": 776,
  "tmja_s2": 811,
  "tmjo_s1": 934,
  "tmjo_s2": 964,
  "tmjw_s1": 438,
  "tmjw_s2": 475,
  "troncon": "Entre Rue Desjardins et Rue Chateaugontier",
  "campagne": "2023/10",
  "date_fin": "20231013",
  "num_cptr": 84,
  "s1_9_10h": 55,
  "s2_9_10h": 47,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5497644751,
          47.4650290287,
          0
        ],
        [
          -0.5495813097,
          47.4652455881,
          0
        ]
      ]
    },
    "properties": {}
  },
  "s1_16_17h": 73,
  "s1_17_18h": 99,
  "s1_18_19h": 78,
  "s1_19_20h": 52,
  "s1_20_21h": 40,
  "s1_21_22h": 23,
  "s2_16_17h": 56,
  "s2_17_18h": 90,
  "s2_18_19h": 81,
  "s2_19_20h": 62,
  "s2_20_21h": 57,
  "s2_21_22h": 29,
  "date_debut": "20231007000001",
  "hpjmax_hor": "S1_S2_17_18H",
  "hpjmax_nbr": "189",
  "hpmmax_hor": "S1_S2_8_9H",
  "hpmmax_nbr": "178",
  "hpsmax_hor": "S1_S2_17_18H",
  "hpsmax_nbr": "189",
  "s1_s2_7_8h": 126,
  "s1_s2_8_9h": 178,
  "id_voie_ign": null,
  "s1_s2_9_10h": 102,
  "geo_point_2d": {
    "lat": 47.4651373084,
    "lon": -0.5496728924000001
  },
  "s1_s2_16_17h": 129,
  "s1_s2_17_18h": 189,
  "s1_s2_18_19h": 159,
  "s1_s2_19_20h": 114,
  "s1_s2_20_21h": 97,
  "s1_s2_21_22h": 52
}
Record 4obs: — · tmja: 113
{
  "obs": null,
  "tmja": 113,
  "tmjo": 112,
  "tmjw": 116,
  "voie": "Route d'Angers",
  "annee": "2024",
  "sens1": "vers déviation de la route n112",
  "sens2": "vers route de bouchemaine",
  "hpjmoy": "9",
  "hpmmoy": "11",
  "hpsmoy": "8",
  "source": "ANGERS LOIRE METROPOLE  - DIRECTION TRANSPORTS DEPLACEMENTS",
  "commune": "SAINTE-GEMMES-SUR-LOIRE",
  "s1_7_8h": 4,
  "s1_8_9h": 13,
  "s2_7_8h": 3,
  "s2_8_9h": 7,
  "tmja_s1": 62,
  "tmja_s2": 51,
  "tmjo_s1": 62,
  "tmjo_s2": 49,
  "tmjw_s1": 61,
  "tmjw_s2": 55,
  "troncon": "Entre rue de la fragonelle et  départementale N °112 de Bouchemaine",
  "campagne": "2024/10",
  "date_fin": "20241013",
  "num_cptr": 402,
  "s1_9_10h": 3,
  "s2_9_10h": 2,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5568997942,
          47.4265466431,
          0
        ],
        [
          -0.5567413044,
          47.4265372462,
          0
        ]
      ]
    },
    "properties": {}
  },
  "s1_16_17h": 4,
  "s1_17_18h": 7,
  "s1_18_19h": 6,
  "s1_19_20h": 2,
  "s1_20_21h": 2,
  "s1_21_22h": 2,
  "s2_16_17h": 4,
  "s2_17_18h": 7,
  "s2_18_19h": 5,
  "s2_19_20h": 3,
  "s2_20_21h": 2,
  "s2_21_22h": 1,
  "date_debut": "20241007000001",
  "hpjmax_hor": "S1S2_8_9H",
  "hpjmax_nbr": "20",
  "hpmmax_hor": "S1S2_8_9H",
  "hpmmax_nbr": "20",
  "hpsmax_hor": "S1S2_17_18H",
  "hpsmax_nbr": "14",
  "s1_s2_7_8h": 7,
  "s1_s2_8_9h": 20,
  "id_voie_ign": null,
  "s1_s2_9_10h": 5,
  "geo_point_2d": {
    "lat": 47.42654194465,
    "lon": -0.5568205493
  },
  "s1_s2_16_17h": 8,
  "s1_s2_17_18h": 14,
  "s1_s2_18_19h": 11,
  "s1_s2_19_20h": 5,
  "s1_s2_20_21h": 4,
  "s1_s2_21_22h": 3
}
Record 5obs: — · tmja: 4487
{
  "obs": null,
  "tmja": 4487,
  "tmjo": 5097,
  "tmjw": 2960,
  "voie": "Boulevard du maréchal Foch",
  "annee": "2023",
  "sens1": "Vers Rue Hanneloup (Sud-Ouest)",
  "sens2": "Vers Rue Ménage (Nord-Est)",
  "hpjmoy": "351",
  "hpmmoy": "333",
  "hpsmoy": "360",
  "source": "ANGERS LOIRE METROPOLE  - DIRECTION TRANSPORTS DEPLACEMENTS",
  "commune": "ANGERS",
  "s1_7_8h": 128,
  "s1_8_9h": 232,
  "s2_7_8h": 129,
  "s2_8_9h": 278,
  "tmja_s1": 2227,
  "tmja_s2": 2260,
  "tmjo_s1": 2530,
  "tmjo_s2": 2567,
  "tmjw_s1": 1470,
  "tmjw_s2": 1491,
  "troncon": "Entre Rue d'Alsace et Rue David d'Angers",
  "campagne": "2023/10",
  "date_fin": "20231013",
  "num_cptr": 131,
  "s1_9_10h": 111,
  "s2_9_10h": 120,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5487736714,
          47.4698733133,
          0
        ],
        [
          -0.548418796,
          47.4696625164,
          0
        ]
      ]
    },
    "properties": {}
  },
  "s1_16_17h": 178,
  "s1_17_18h": 282,
  "s1_18_19h": 215,
  "s1_19_20h": 164,
  "s1_20_21h": 128,
  "s1_21_22h": 102,
  "s2_16_17h": 147,
  "s2_17_18h": 255,
  "s2_18_19h": 269,
  "s2_19_20h": 176,
  "s2_20_21h": 131,
  "s2_21_22h": 114,
  "date_debut": "20231007000001",
  "hpjmax_hor": "S1_S2_17_18H",
  "hpjmax_nbr": "537",
  "hpmmax_hor": "S1_S2_8_9H",
  "hpmmax_nbr": "510",
  "hpsmax_hor": "S1_S2_17_18H",
  "hpsmax_nbr": "537",
  "s1_s2_7_8h": 257,
  "s1_s2_8_9h": 510,
  "id_voie_ign": null,
  "s1_s2_9_10h": 231,
  "geo_point_2d": {
    "lat": 47.46976791484999,
    "lon": -0.5485962337
  },
  "s1_s2_16_17h": 325,
  "s1_s2_17_18h": 537,
  "s1_s2_18_19h": 484,
  "s1_s2_19_20h": 340,
  "s1_s2_20_21h": 259,
  "s1_s2_21_22h": 216
}

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

Verification Status

Using the API

Configuration

Base URL
https://data.angers.fr/api/explore/v2.1/catalog/datasets/compteurs_velo

License

Open Data Commons Open Database License 1.0Open
  • ✓ Redistributable
  • ✓ Attribution required

Query examples

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

5 000 req/day
per ipmeasured
observed 3 days ago

Dataset

Volume & freshness

Records
144
Last upstream update
3 days ago
2026-10-19

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON
Comptages vélo - Angers Loire Métropole — live verification badge

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.