Annual Gross Payroll of the Ten Highest Salaries in 2023Masse salariale brute annuelle des dix rémunérations les plus élevées en 2023
Masse salariale brute annuelle des dix rémunérations les plus élevées en 2023Annual Gross Payroll of the Ten Highest Salaries in 2023
This dataset provides the annual gross payroll total for the ten highest-paid positions in 2023, published via the open data portal of Bordeaux Métropole in France. It is part of transparency reporting on remuneration within the metropolitan administration, offering freely accessible figures without authentication. The data is relevant to public accountability and comparative analysis of senior compensation levels within French local government institutions.Masse salariale brute annuelle des dix rémunérations les plus élevées en 2023
Trust score
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Data schema (9 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | sirenSIREN (company) | int | SIREN identifier of the employer organization.SIREN identifier of the employer organization. |
| 100% | denomination_employeurDenomination employeur | text | Name of the employer organization.Name of the employer organization. |
| 100% | type_administrationType administration | text | Category or type of public administration.Category or type of public administration. |
| 100% | annee | text | Year the data refers to.Year the data refers to. |
| 100% | somme_10_plus_hautes_remunerations_brutesSomme 10 plus hautes remunerations brutes | int | Total annual gross pay of the ten highest earners.Total annual gross pay of the ten highest earners. |
| 100% | nb_femmes_beneficiairesNb femmes beneficiaires | int | Number of women among the ten highest-paid employees.Number of women among the ten highest-paid employees. |
| 100% | nb_hommes_beneficiairesNb hommes beneficiaires | int | Number of men among the ten highest-paid employees.Number of men among the ten highest-paid employees. |
| 100% | duree_cumulee_moisDuree cumulee mois | int | Cumulative duration in months covered by these ten remunerations.Cumulative duration in months covered by these ten remunerations. |
| 0% | commentaires | text | Free-text comments or notes about the record.Free-text comments or notes about the record. |
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.
Sample data (1 record)
Record 1annee: 2023 · siren: 213302813
{
"annee": "2023",
"siren": 213302813,
"commentaires": null,
"duree_cumulee_mois": 120,
"type_administration": "Autre collectivité territoriale",
"denomination_employeur": "COMMUNE DE MERIGNAC",
"nb_femmes_beneficiaires": 5,
"nb_hommes_beneficiaires": 5,
"somme_10_plus_hautes_remunerations_brutes": 756678
}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/mer_-hautes_remunerations
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/mer_-hautes_remunerations/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.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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