Exceptional Covid-19 measures: Urssaf contribution deferrals (employers), by department and main sectorMesures exceptionnelles Covid-19 : reports de cotisations Urssaf (employeurs), par département x grand secteur
Mesures exceptionnelles Covid-19 : reports de cotisations Urssaf (employeurs), par département x grand secteurExceptional Covid-19 measures: Urssaf contribution deferrals (employers), by department and main sector
This dataset provides figures, broken down by department and main business sector, on deferrals of social security contributions granted to employers affiliated with the general scheme under exceptional Urssaf measures related to the Covid-19 crisis. It covers payment deadlines from 15 March to 15 December 2020, with end-of-month snapshots from March through December. The data is published by the Région Centre-Val de Loire and is useful for monitoring the regional and sectoral impact of pandemic-related contribution deferral support on employers across France's general social security scheme.Données par département et grand secteur d'activité relatives aux reports de cotisations des employeurs affiliés au régime général dans le cadre des mesures Urssaf exceptionnelles liées à la crise du Covid-19 (échéances du 15 mars au 15 décembre 2020). Situations en fin de mois de mars à décembre...
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Data schema (19 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | date_d_observationDate d observation | text | Observation date, end of the reporting month.Observation date, end of the reporting month. |
| 100% | mois_d_observationMois d observation | text | Month and year of observation.Month and year of observation. |
| 100% | mois_d_echeanceMois d'échéance | text | Month and year of the payment deadline.Month and year of the payment deadline. |
| 100% | jour_d_echeanceJour d'échéance | text | Day of the month of the payment deadline.Day of the month of the payment deadline. |
| 100% | echeance_de_paiementEchéance de paiement | text | Full date of the contribution payment deadline.Full date of the contribution payment deadline. |
| 100% | code_regionCode région | text | Current administrative code of the region.Current administrative code of the region. |
| 100% | regionRégion | text | Name of the current administrative region.Name of the current administrative region. |
| 100% | code_ancienne_regionCode ancienne région | text | Administrative code of the former (pre-2016) region.Administrative code of the former (pre-2016) region. |
| 100% | ancienne_regionAncienne région | text | Name of the former (pre-2016) region.Name of the former (pre-2016) region. |
| 100% | code_departementCode département | text | Administrative code of the département.Administrative code of the département. |
| — | departementDépartement | text | Name of the département.Name of the département. |
| — | grand_secteur_d_activiteGrand secteur d'activité | text | Broad economic activity sector grouping.Broad economic activity sector grouping. |
| — | nb_etab_a_echeanceNombre d'étab. à l'échéance | int | Number of establishments due to pay at this deadline.Number of establishments due to pay at this deadline. |
| — | cotisations_duesCotisations dues | int | Total amount of contributions due, in euros.Total amount of contributions due, in euros. |
| — | nb_etab_avec_reportNombre d'étab. avec report | int | Number of establishments that deferred payment.Number of establishments that deferred payment. |
| — | montant_reportsMontant des reports | int | Total amount of deferred contributions, in euros.Total amount of deferred contributions, in euros. |
| — | date_num_echeanceDate num echeance | int | Payment deadline date in numeric YYYYMMDD format.Payment deadline date in numeric YYYYMMDD format. |
| — | date_num_observationDate num observation | int | Observation date in numeric YYYYMMDD format.Observation date in numeric YYYYMMDD format. |
| — | geo_point_2dGeo Point | geo_point_2d | Geographic coordinates of the département.Geographic coordinates of the département. |
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 1region: Auvergne-Rhône-Alpes · code_region: 84
{
"region": "Auvergne-Rhône-Alpes",
"code_region": "84",
"departement": "Puy-de-Dôme",
"geo_point_2d": {
"lat": 45.7259140096,
"lon": 3.14042467845
},
"ancienne_region": "Auvergne",
"jour_d_echeance": "15",
"mois_d_echeance": "05/2020",
"montant_reports": 2616236,
"code_departement": "63",
"cotisations_dues": 16133852,
"date_num_echeance": 20200515,
"date_d_observation": "31/12/2020",
"mois_d_observation": "12/2020",
"nb_etab_a_echeance": 4656,
"nb_etab_avec_report": 853,
"code_ancienne_region": "83",
"date_num_observation": 20201231,
"echeance_de_paiement": "15/05/2020",
"grand_secteur_d_activite": "GS5 Autres services marchands"
}Record 2region: Pays de la Loire · code_region: 52
{
"region": "Pays de la Loire",
"code_region": "52",
"departement": "Sarthe",
"geo_point_2d": {
"lat": 47.9950828257,
"lon": 0.222838949961
},
"ancienne_region": "Pays de la Loire",
"jour_d_echeance": "15",
"mois_d_echeance": "06/2020",
"montant_reports": 578067,
"code_departement": "72",
"cotisations_dues": 5897192,
"date_num_echeance": 20200615,
"date_d_observation": "30/06/2020",
"mois_d_observation": "06/2020",
"nb_etab_a_echeance": 1579,
"nb_etab_avec_report": 224,
"code_ancienne_region": "52",
"date_num_observation": 20200630,
"echeance_de_paiement": "15/06/2020",
"grand_secteur_d_activite": "GS3a Commerce non alimentaire"
}Record 3region: Auvergne-Rhône-Alpes · code_region: 84
{
"region": "Auvergne-Rhône-Alpes",
"code_region": "84",
"departement": "Haute-Savoie",
"geo_point_2d": {
"lat": 46.034556512,
"lon": 6.4287256834
},
"ancienne_region": "Rhône-Alpes",
"jour_d_echeance": "05",
"mois_d_echeance": "10/2020",
"montant_reports": 14719,
"code_departement": "74",
"cotisations_dues": 5218877,
"date_num_echeance": 20201005,
"date_d_observation": "31/12/2020",
"mois_d_observation": "12/2020",
"nb_etab_a_echeance": 183,
"nb_etab_avec_report": 3,
"code_ancienne_region": "82",
"date_num_observation": 20201231,
"echeance_de_paiement": "05/10/2020",
"grand_secteur_d_activite": "nca _non classé ailleurs_"
}Record 4region: Provence-Alpes-Côte d'Azur · code_region: 93
{
"region": "Provence-Alpes-Côte d'Azur",
"code_region": "93",
"departement": "Hautes-Alpes",
"geo_point_2d": {
"lat": 44.6639237889,
"lon": 6.26497363954
},
"ancienne_region": "Provence-Alpes-Côte d'Azur",
"jour_d_echeance": "15",
"mois_d_echeance": "06/2020",
"montant_reports": 532595,
"code_departement": "05",
"cotisations_dues": 3518026,
"date_num_echeance": 20200615,
"date_d_observation": "31/07/2020",
"mois_d_observation": "07/2020",
"nb_etab_a_echeance": 1449,
"nb_etab_avec_report": 245,
"code_ancienne_region": "93",
"date_num_observation": 20200731,
"echeance_de_paiement": "15/06/2020",
"grand_secteur_d_activite": "GS5 Autres services marchands"
}Record 5region: Île-de-France · code_region: 11
{
"region": "Île-de-France",
"code_region": "11",
"departement": "Val-de-Marne",
"geo_point_2d": {
"lat": 48.777381661,
"lon": 2.46924536126
},
"ancienne_region": "Île-de-France",
"jour_d_echeance": "15",
"mois_d_echeance": "08/2020",
"montant_reports": 1798601,
"code_departement": "94",
"cotisations_dues": 31195078,
"date_num_echeance": 20200815,
"date_d_observation": "31/10/2020",
"mois_d_observation": "10/2020",
"nb_etab_a_echeance": 4751,
"nb_etab_avec_report": 514,
"code_ancienne_region": "11",
"date_num_observation": 20201031,
"echeance_de_paiement": "15/08/2020",
"grand_secteur_d_activite": "GS2 Construction"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.centrevaldeloire.fr/api/explore/v2.1/catalog/datasets/mesures-exceptionnelles-covid-19-reports-par-departement-x-grand-secteur
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.centrevaldeloire.fr/api/explore/v2.1/catalog/datasets/mesures-exceptionnelles-covid-19-reports-par-departement-x-grand-secteur/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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Source: opendatasoft
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