Informations Rapides ·
8 July 2022 · n° 180
In Q1 2022, all regions are above their pre-sanitary crisis levels for payroll employment Localized employment and unemployment rates (by region and department) - first quarter
2022
Between the end of December 2021 and the end of March 2022, payroll employment increased : +0.3% nationwide, thanks to an increase in market services excluding temporary work (+0.6%). Payroll employment increased more than the national level in ten regions, and increased the most in Corse (+0.9%). Year-over-year, payroll employment increased the most in Corse and Auvergne-Rhône-Alpes (+3.7%) and in Provence-Alpes-Côte d’Azur (+3,9%).
The Quarterly Employment Estimates for the first quarter of 2022 are revised more than usual, as they benefit from several methodological changes.
In June 2021, the Urssaf National Fund switched its entire statistical system to the source of nominative social declarations (DSN), generating revisions to the long series of the number of salaried positions in the private sector, excluding temporary work. This revision is now taken into account in the series published by INSEE. In addition, there is the usual revision linked to the updating of models calculating seasonal adjustments.
In addition, work-study students (under apprenticeship or professionalization contracts) are now explicitly included in the dynamics of payroll employment in recent years. This leads to the counting of 240,000 additional jobs created between the end of 2019 and the end of 2021, with apprenticeship having increased significantly between the end of 2019 and the end of 2021.
Eventually, the long-series employment levels of the Quarterly Employment Estimates are calibrated to the Annual Employment Estimates, which were rebased in the spring of 2022.
These various revisions are detailed in the methodological associated with the national publication.
In Q1 2022, payroll employment increased in almost all regions
Between the end of December 2021 and the end of March 2022, payroll employment increased : +0.3% nationwide, thanks to an increase in market services excluding temporary work (+0.6%). Payroll employment increased more than the national level in ten regions, and increased the most in Corse (+0.9%). Year-over-year, payroll employment increased the most in Corse and Auvergne-Rhône-Alpes (+3.7%) and in Provence-Alpes-Côte d’Azur (+3,9%).
tableauFigure 1 – Change in payroll employment (regions) between the end of December 2021 and the end of March 2022
| Change in payroll employment (%) | |
|---|---|
| Auvergne-Rhône-Alpes | 0.3 |
| Bourgogne-Franche-Comté | 0.1 |
| Bretagne | 0.4 |
| Centre-Val de Loire | 0.1 |
| Corse | 0.9 |
| France hors Mayotte | 0.3 |
| Grand Est | 0.0 |
| Guadeloupe | -0.1 |
| Guyane | 0.4 |
| Hauts-de-France | 0.2 |
| Île-de-France | 0.3 |
| La Réunion | 0.2 |
| Martinique | 0.5 |
| Normandie | 0.2 |
| Nouvelle-Aquitaine | 0.5 |
| Occitanie | 0.5 |
| Pays de la Loire | 0.3 |
| Provence-Alpes-Côte d'Azur | 0.3 |
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (+0.3% between the end of December 2021 and the end of March 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, Employment Estimates; quarterly estimates Urssaf, DARES, INSEE
graphiqueFigure 1 – Change in payroll employment (regions) between December 2021 and March 2022
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (+0.3% between the end of December 2021 and the end of March 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, Employment Estimates; quarterly estimates Urssaf, DARES, INSEE
Concerning the 100 departments (excluding Mayotte), in the first quarter 2022, payroll employment increased by at least +0.3% in 41 of them; it increased moderately (+0.2%) in 22 other departements; it stabilized in 21 departments, and declined in 16.
tableauFigure 2 – Change in payroll employment between December 2021 and March 2022
| Change in payroll employment (%) | |
|---|---|
| Ain | -0.4 |
| Aisne | 0.1 |
| Allier | 0.2 |
| Alpes-de-Haute-Provence | 1.0 |
| Alpes-Maritimes | 0.5 |
| Ardèche | -0.4 |
| Ardennes | 0.3 |
| Ariège | -0.2 |
| Aube | 0.2 |
| Aude | 0.4 |
| Aveyron | -0.3 |
| Bas-Rhin | -0.2 |
| Bouches-du-Rhône | 0.2 |
| Calvados | 0.2 |
| Cantal | -0.2 |
| Charente | 0.4 |
| Charente-Maritime | 1.1 |
| Cher | -0.2 |
| Corrèze | -0.1 |
| Corse-du-Sud | 0.9 |
| Côte-d'Or | 0.3 |
| Côtes-d'Armor | 0.3 |
| Creuse | -0.3 |
| Deux-Sèvres | 0.2 |
| Dordogne | 0.2 |
| Doubs | 0.3 |
| Drôme | 0.2 |
| Essonne | -0.2 |
| Eure | 0.2 |
| Eure-et-Loir | 0.2 |
| Finistère | 0.3 |
| Gard | 0.5 |
| Gers | -0.1 |
| Gironde | 0.6 |
| Guadeloupe | -0.1 |
| Guyane | 0.4 |
| Haut-Rhin | 0.2 |
| Haute-Corse | 0.9 |
| Haute-Garonne | 0.5 |
| Haute-Loire | 0.4 |
| Haute-Marne | 0.1 |
| Haute-Saône | 0.2 |
| Haute-Savoie | 0.3 |
| Haute-Vienne | 0.7 |
| Hautes-Alpes | 0.3 |
| Hautes-Pyrénées | -0.2 |
| Hauts-de-Seine | 0.2 |
| Hérault | 0.9 |
| Ille-et-Vilaine | 0.6 |
| Indre | -0.1 |
| Indre-et-Loire | 0.1 |
| Isère | 0.2 |
| Jura | -0.1 |
| La Réunion | 0.2 |
| Landes | 0.6 |
| Loir-et-Cher | 0.2 |
| Loire | 0.1 |
| Loire-Atlantique | 0.6 |
| Loiret | 0.3 |
| Lot | 0.2 |
| Lot-et-Garonne | 0.2 |
| Lozère | -0.2 |
| Maine-et-Loire | 0.0 |
| Manche | 0.0 |
| Marne | 0.1 |
| Martinique | 0.5 |
| Mayenne | 0.2 |
| Meurthe-et-Moselle | -0.4 |
| Meuse | 0.4 |
| Morbihan | 0.2 |
| Moselle | -0.2 |
| Nièvre | -0.1 |
| Nord | 0.3 |
| Oise | -0.3 |
| Orne | -0.2 |
| Paris | 0.8 |
| Pas-de-Calais | 0.1 |
| Puy-de-Dôme | 0.0 |
| Pyrénées-Atlantiques | 0.4 |
| Pyrénées-Orientales | 0.8 |
| Rhône | 0.6 |
| Saône-et-Loire | 0.2 |
| Sarthe | 0.3 |
| Savoie | 1.0 |
| Seine-et-Marne | 0.5 |
| Seine-Maritime | 0.3 |
| Seine-Saint-Denis | 0.4 |
| Somme | 0.3 |
| Tarn | 0.0 |
| Tarn-et-Garonne | 0.3 |
| Territoire de Belfort | -0.2 |
| Val-d'Oise | 0.2 |
| Val-de-Marne | -0.1 |
| Var | 0.1 |
| Vaucluse | 0.3 |
| Vendée | 0.2 |
| Vienne | 0.8 |
| Vosges | 0.1 |
| Yonne | -0.1 |
| Yvelines | 0.1 |
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (+0.3% between the end of December 2021 and the end of March 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, Employment Estimates; quarterly estimates Urssaf, DARES, INSEE
graphiqueFigure 2 – Change in payroll employment (departments) between December 2021 and March 2022
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (+0.3% between the end of December 2021 and the end of March 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, Empoyment Estimates; quarterly estimates Urssaf, DARES, INSEE
All regions are above their pre-sanitary crisis level, for payroll employment
At the national level, in Q1 2022, total payroll employment has exceeded its pre-sanitary crisis level (end of 2019) by 2.8%. Payroll employment is above its pre-crisis level in all regions, and is even clearly above it in two French overseas departments (Guyane and La Réunion) and in Corse.
Payroll employment is above its pre-crisis level in 92 of the 100 departments. The additional payroll employment is more significant in Corse, Guyane, La Réunion, in the departments of Bretagne, Nouvelle-Aquitaine and the coastal departments of Provence-Alpes-Côte d'Azur and Occitanie. The departments that have not returned to their pre-crisis level are mainly concentrated in the regions of Bourgogne-Franche-Comté and Grand Est.
tableauFigure 3 – Change in payroll employment (regions) between December 2019 and March 2022
| Change in payroll employment (%) | |
|---|---|
| Auvergne-Rhône-Alpes | 3.0 |
| Bourgogne-Franche-Comté | 0.8 |
| Bretagne | 4.1 |
| Centre-Val de Loire | 1.6 |
| Corse | 5.4 |
| France hors Mayotte | 2.8 |
| Grand Est | 1.6 |
| Guadeloupe | 2.3 |
| Guyane | 6.6 |
| Hauts-de-France | 2.8 |
| Île-de-France | 1.6 |
| La Réunion | 7.4 |
| Martinique | 2.7 |
| Normandie | 2.1 |
| Nouvelle-Aquitaine | 4.1 |
| Occitanie | 3.9 |
| Pays de la Loire | 3.7 |
| Provence-Alpes-Côte d'Azur | 4.0 |
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (+2.8% between the end of 2019 and early 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, employment estimates; quarterly estimates Urssaf, DARES, INSEE
graphiqueFigure 3 – Change in payroll employment (regions) between December 2019 and March 2022
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (+2.8% between the end of 2019 and early 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, employment estimates; quarterly estimates Urssaf, DARES, INSEE
tableauFigure 4 – Change in payroll employment (departments) between December 2019 and March 2022
| Change in payroll employment(%) | |
|---|---|
| Ain | 1.7 |
| Aisne | 0.6 |
| Allier | 2.7 |
| Alpes-de-Haute-Provence | 5.2 |
| Alpes-Maritimes | 2.5 |
| Ardèche | 2.0 |
| Ardennes | 1.1 |
| Ariège | 3.6 |
| Aube | 0.9 |
| Aude | 4.3 |
| Aveyron | 2.3 |
| Bas-Rhin | 2.7 |
| Bouches-du-Rhône | 4.7 |
| Calvados | 2.6 |
| Cantal | 1.5 |
| Charente | 2.4 |
| Charente-Maritime | 5.2 |
| Cher | 0.4 |
| Corrèze | 1.5 |
| Corse-du-Sud | 4.9 |
| Côte-d'Or | 1.8 |
| Côtes-d'Armor | 3.8 |
| Creuse | 1.7 |
| Deux-Sèvres | 2.6 |
| Dordogne | 4.0 |
| Doubs | -0.4 |
| Drôme | 4.0 |
| Essonne | 1.6 |
| Eure | 1.2 |
| Eure-et-Loir | 2.7 |
| Finistère | 3.6 |
| Gard | 4.5 |
| Gers | 2.4 |
| Gironde | 5.4 |
| Guadeloupe | 2.3 |
| Guyane | 6.6 |
| Haut-Rhin | 1.0 |
| Haute-Corse | 6.0 |
| Haute-Garonne | 2.4 |
| Haute-Loire | 3.4 |
| Haute-Marne | -0.1 |
| Haute-Saône | 1.0 |
| Haute-Savoie | 2.1 |
| Haute-Vienne | 3.8 |
| Hautes-Alpes | 2.6 |
| Hautes-Pyrénées | 1.5 |
| Hauts-de-Seine | 0.3 |
| Hérault | 6.3 |
| Ille-et-Vilaine | 4.4 |
| Indre | -0.9 |
| Indre-et-Loire | 2.2 |
| Isère | 2.8 |
| Jura | 1.6 |
| La Réunion | 7.4 |
| Landes | 4.3 |
| Loir-et-Cher | 1.5 |
| Loire | 2.0 |
| Loire-Atlantique | 4.0 |
| Loiret | 1.8 |
| Lot | 2.4 |
| Lot-et-Garonne | 4.8 |
| Lozère | 3.2 |
| Maine-et-Loire | 3.8 |
| Manche | 2.2 |
| Marne | 1.4 |
| Martinique | 2.7 |
| Mayenne | 2.3 |
| Meurthe-et-Moselle | 1.5 |
| Meuse | -2.6 |
| Morbihan | 4.4 |
| Moselle | 2.3 |
| Nièvre | -0.9 |
| Nord | 3.6 |
| Oise | 1.9 |
| Orne | 1.6 |
| Paris | 2.6 |
| Pas-de-Calais | 2.8 |
| Puy-de-Dôme | 2.3 |
| Pyrénées-Atlantiques | 3.7 |
| Pyrénées-Orientales | 6.4 |
| Rhône | 4.0 |
| Saône-et-Loire | 2.4 |
| Sarthe | 3.3 |
| Savoie | 4.0 |
| Seine-et-Marne | 0.9 |
| Seine-Maritime | 2.2 |
| Seine-Saint-Denis | 3.6 |
| Somme | 2.0 |
| Tarn | 2.9 |
| Tarn-et-Garonne | 4.1 |
| Territoire de Belfort | -2.4 |
| Val-d'Oise | 2.9 |
| Val-de-Marne | 0.6 |
| Var | 3.9 |
| Vaucluse | 4.3 |
| Vendée | 3.9 |
| Vienne | 2.2 |
| Vosges | 1.5 |
| Yonne | 0.1 |
| Yvelines | -0.7 |
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (+2.8% between the end of 2019 and early 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, employment estimates; quarterly estimates Urssaf, DARES, INSEE
graphiqueFigure 4 – Change in payroll employment (departments) between December 2019 and March 2022
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (+2.8% between the end of 2019 and early 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, employment estimates; quarterly estimates Urssaf, DARES, INSEE
At the national level, as in most regions, the unemployment rate pulled back around one point from its level of late 2019
Nationwide (excluding Mayotte), the unemployment rate in Q1 2022 is 7.3%, that is 0.9 points below its level in the Q4 2019.
Between the end of 2019 and early 2022, the unemployment rate decreased in every french region, but less so in Île-de-France (-0,2 points). In most regions, the unemployment rate decreased by 1 or 1.1 points, compared to pre-crisis level. It decreased even more in the Hauts-de-France and in Corse (-1.4 points) and in the French overseas departments (between -1.7 and -4.0 points).
The unemployment rate almost stabilized in three departments of Île-de-France; it decreased moderately in 17 departments. It decreased more than 1.1 points in 21 departments.
tableauFigure 5 – Change in unemployment rate between Q4 2019 and Q1 2022
| Change in unemployment rate (in points) | |
|---|---|
| Auvergne-Rhône-Alpes | -0.8 |
| Bourgogne-Franche-Comté | -1.0 |
| Bretagne | -1.0 |
| Centre-Val de Loire | -1.1 |
| Corse | -1.4 |
| France hors Mayotte | -0.9 |
| France métropolitaine | -0.8 |
| Grand Est | -0.8 |
| Guadeloupe | -2.8 |
| Guyane | -4.0 |
| Hauts-de-France | -1.4 |
| Île-de-France | -0.2 |
| La Réunion | -1.7 |
| Martinique | -2.8 |
| Normandie | -1.1 |
| Nouvelle-Aquitaine | -1.0 |
| Occitanie | -0.9 |
| Pays de la Loire | -1.0 |
| Provence-Alpes-Côte d'Azur | -1.1 |
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (-0.9 points between end of 2019 and early 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, localised unemployment rates
graphiqueFigure 5 – Change in unemployment rate (regions) between Q4 2019 and Q1 2022
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (-0.9 points between end of 2019 and early 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, localised unemployment rates
tableauFigure 6 – Change in unemployment rate between Q4 2019 and Q1 2022
| Change in unemployment rate (in points) | |
|---|---|
| Ain | -0.5 |
| Aisne | -0.6 |
| Allier | -0.9 |
| Alpes-de-Haute-Provence | -1.1 |
| Alpes-Maritimes | -0.8 |
| Ardèche | -0.7 |
| Ardennes | -0.6 |
| Ariège | -1.1 |
| Aube | -0.6 |
| Aude | -1.0 |
| Aveyron | -0.7 |
| Bas-Rhin | -0.7 |
| Bouches-du-Rhône | -1.0 |
| Calvados | -1.1 |
| Cantal | -0.9 |
| Charente | -0.9 |
| Charente-Maritime | -1.1 |
| Cher | -1.2 |
| Corrèze | -0.6 |
| Corse-du-Sud | -1.4 |
| Côte-d'Or | -1.1 |
| Côtes-d'Armor | -0.9 |
| Creuse | -0.6 |
| Deux-Sèvres | -0.7 |
| Dordogne | -1.1 |
| Doubs | -0.9 |
| Drôme | -1.0 |
| Essonne | -0.2 |
| Eure | -1.0 |
| Eure-et-Loir | -1.2 |
| Finistère | -0.9 |
| Gard | -1.2 |
| Gers | -0.5 |
| Gironde | -1.2 |
| Guadeloupe | -2.8 |
| Guyane | -4.0 |
| Haut-Rhin | -0.8 |
| Haute-Corse | -1.6 |
| Haute-Garonne | -0.4 |
| Haute-Loire | -0.8 |
| Haute-Marne | -1.0 |
| Haute-Saône | -1.0 |
| Haute-Savoie | -0.3 |
| Haute-Vienne | -1.0 |
| Hautes-Alpes | -0.9 |
| Hautes-Pyrénées | -1.0 |
| Hauts-de-Seine | -0.3 |
| Hérault | -1.3 |
| Ille-et-Vilaine | -1.1 |
| Indre | -0.9 |
| Indre-et-Loire | -1.2 |
| Isère | -0.8 |
| Jura | -1.1 |
| La Réunion | -1.7 |
| Landes | -1.0 |
| Loir-et-Cher | -0.9 |
| Loire | -1.1 |
| Loire-Atlantique | -1.0 |
| Loiret | -1.0 |
| Lot | -0.8 |
| Lot-et-Garonne | -0.7 |
| Lozère | -0.6 |
| Maine-et-Loire | -1.2 |
| Manche | -1.0 |
| Marne | -0.7 |
| Martinique | -2.8 |
| Mayenne | -0.8 |
| Meurthe-et-Moselle | -0.9 |
| Meuse | -0.3 |
| Morbihan | -1.2 |
| Moselle | -0.7 |
| Nièvre | -0.7 |
| Nord | -1.4 |
| Oise | -0.8 |
| Orne | -1.0 |
| Paris | -0.5 |
| Pas-de-Calais | -1.7 |
| Puy-de-Dôme | -0.9 |
| Pyrénées-Atlantiques | -1.0 |
| Pyrénées-Orientales | -1.6 |
| Rhône | -0.8 |
| Saône-et-Loire | -1.1 |
| Sarthe | -1.1 |
| Savoie | -0.8 |
| Seine-et-Marne | -0.1 |
| Seine-Maritime | -1.3 |
| Seine-Saint-Denis | -0.3 |
| Somme | -1.1 |
| Tarn | -0.9 |
| Tarn-et-Garonne | -0.7 |
| Territoire de Belfort | -0.6 |
| Val-d'Oise | -0.2 |
| Val-de-Marne | -0.1 |
| Var | -1.2 |
| Vaucluse | -1.2 |
| Vendée | -1.1 |
| Vienne | -0.9 |
| Vosges | -1.2 |
| Yonne | -1.1 |
| Yvelines | 0.1 |
- How to read it: the ranges enable to visualize whether the regions/departments have evolved more or less rapidly compared to the national level (-0.9 points between end of 2019 and early 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, localised unemployment rates
graphiqueFigure 6 – Change in unemployment rate (departments) between Q4 2019 and Q1 2022
- How to read it: the ranges enable to visualize the level of the regions/departments compared to the national level (7.3% in Q1 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, localised unemployment rates
In metropolitan France, only three regions have an unemployment rate higher than the nationwide level (7.3%): Provence-Alpes-Côte d’Azur (8.2%), Occitanie and Hauts-de-France (8.7%). In the French overseas departments, unemployment rate is even higher, with rates from 12.3% to almost 19%.
tableauFigure 7 – Trimestrial unemployment rate (regions) in Q1 2022
| Trimestrial unemployment rate (%) | |
|---|---|
| Auvergne-Rhône-Alpes | 6.3 |
| Bourgogne-Franche-Comté | 6.2 |
| Bretagne | 5.8 |
| Centre-Val de Loire | 6.7 |
| Corse | 6.4 |
| France hors Mayotte | 7.3 |
| France métropolitaine | 7.1 |
| Grand Est | 7.1 |
| Guadeloupe | 18.1 |
| Guyane | 15.6 |
| Hauts-de-France | 8.7 |
| Île-de-France | 7.0 |
| La Réunion | 18.6 |
| Martinique | 12.3 |
| Normandie | 6.9 |
| Nouvelle-Aquitaine | 6.5 |
| Occitanie | 8.7 |
| Pays de la Loire | 5.9 |
| Provence-Alpes-Côte d'Azur | 8.2 |
- How to read it: the ranges enable to visualize the level of the regions/departments compared to the national level (7.3% in Q1 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, localised unemployment rates
graphiqueFigure 7 – Trimestrial unemployment rate (regions) in Q1 2022
- How to read it: the ranges enable to visualize the level of the regions/departments compared to the national level (7.3% in Q1 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, localised unemployment rates
tableauFigure 8 – Trimestrial unemployment rate (departments) in Q1 2022
| Trimestrial unemployment rate (%) | |
|---|---|
| Ain | 5.4 |
| Aisne | 10.7 |
| Allier | 7.7 |
| Alpes-de-Haute-Provence | 8.2 |
| Alpes-Maritimes | 7.7 |
| Ardèche | 8.1 |
| Ardennes | 9.3 |
| Ariège | 9.2 |
| Aube | 9.7 |
| Aude | 10.1 |
| Aveyron | 5.6 |
| Bas-Rhin | 6.2 |
| Bouches-du-Rhône | 8.7 |
| Calvados | 6.3 |
| Cantal | 3.9 |
| Charente | 6.9 |
| Charente-Maritime | 7.1 |
| Cher | 7.3 |
| Corrèze | 6.0 |
| Corse-du-Sud | 6.2 |
| Côte-d'Or | 5.5 |
| Côtes-d'Armor | 6.2 |
| Creuse | 7.0 |
| Deux-Sèvres | 5.2 |
| Dordogne | 7.1 |
| Doubs | 6.6 |
| Drôme | 7.9 |
| Essonne | 6.3 |
| Eure | 7.1 |
| Eure-et-Loir | 6.6 |
| Finistère | 6.1 |
| Gard | 10.0 |
| Gers | 5.7 |
| Gironde | 6.6 |
| Guadeloupe | 18.1 |
| Guyane | 15.6 |
| Haut-Rhin | 7.1 |
| Haute-Corse | 6.5 |
| Haute-Garonne | 7.5 |
| Haute-Loire | 5.6 |
| Haute-Marne | 6.1 |
| Haute-Saône | 6.3 |
| Haute-Savoie | 5.7 |
| Haute-Vienne | 6.4 |
| Hautes-Alpes | 6.9 |
| Hautes-Pyrénées | 7.9 |
| Hauts-de-Seine | 6.0 |
| Hérault | 10.1 |
| Ille-et-Vilaine | 5.2 |
| Indre | 7.0 |
| Indre-et-Loire | 6.3 |
| Isère | 5.9 |
| Jura | 4.9 |
| La Réunion | 18.6 |
| Landes | 6.9 |
| Loir-et-Cher | 5.9 |
| Loire | 7.0 |
| Loire-Atlantique | 5.7 |
| Loiret | 7.0 |
| Lot | 7.2 |
| Lot-et-Garonne | 7.6 |
| Lozère | 4.6 |
| Maine-et-Loire | 6.3 |
| Manche | 5.0 |
| Marne | 7.0 |
| Martinique | 12.3 |
| Mayenne | 4.8 |
| Meurthe-et-Moselle | 7.0 |
| Meuse | 7.2 |
| Morbihan | 5.8 |
| Moselle | 7.3 |
| Nièvre | 6.4 |
| Nord | 9.2 |
| Oise | 7.3 |
| Orne | 6.5 |
| Paris | 5.8 |
| Pas-de-Calais | 8.2 |
| Puy-de-Dôme | 6.2 |
| Pyrénées-Atlantiques | 5.7 |
| Pyrénées-Orientales | 11.7 |
| Rhône | 6.5 |
| Saône-et-Loire | 6.2 |
| Sarthe | 7.1 |
| Savoie | 5.4 |
| Seine-et-Marne | 6.7 |
| Seine-Maritime | 7.9 |
| Seine-Saint-Denis | 10.3 |
| Somme | 8.6 |
| Tarn | 7.7 |
| Tarn-et-Garonne | 8.8 |
| Territoire de Belfort | 8.2 |
| Val-d'Oise | 8.1 |
| Val-de-Marne | 7.2 |
| Var | 7.4 |
| Vaucluse | 9.4 |
| Vendée | 5.2 |
| Vienne | 5.7 |
| Vosges | 7.4 |
| Yonne | 6.5 |
| Yvelines | 6.4 |
- >How to read it: the ranges enable to visualize the level of the regions/departments compared to the national level (7.3% in Q1 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, localised unemployment rates
graphiqueFigure 8 – Trimestrial unemployment rate (departments) in Q1 2022
- How to read it: the ranges enable to visualize the level of the regions/departments compared to the national level (7.3% in Q1 2022).
- Scope: France excluding Mayotte
- Sources: INSEE, localised unemployment rates
For further informations
The « enquête Emploi » enables to measure precisely at the national level, the unemployment rate every trimester. At sharper geographic levels the sample surveyed is too small for good cyclical monitoring.
INSEE therefore develops a specific indicator, the "localized unemployment rate," based on three sources for metropolitan France: the « enquête Emploi », which provides the number of unemployed and employed persons in the ILO sense; administrative data on employment from social declarations by companies and the self-employed, making it possible to exhaustively and finely localize employment at a territorial level; data on job seekers at the end of the month registered with Pôle emploi in category A (DEFM A), which make it possible to finely localize unemployed persons. This last source differs in level from the results of the « enquête Emploi », since it does not follow the ILO concepts used in the survey. But, assuming that this difference is evenly distributed, its structure can be used to disaggregate unemployment from the « enquête Emploi ».
The calculation of localized unemployment rates in the DOMs excluding Mayotte is based on a specific methodology, which means that a statistical hazard remains in the short-term variations. To study structural and long-term effects, annual average unemployment rate series should be preferred in the DOMs excluding Mayotte.
Next issue: 6 October 2022
Documentation
Pour en savoir plus
Informations Rapides: In Q4 2021, payroll employment increased by 0.4 %
Informations Rapides: In Q4 2021, the unemployment rate decreased by 0.6 points to 7.4%
Time series: Estimates of salaried employment by business sector
Time series: Localised unemployment rates