Data / Rankings / Unemployment rate / NUTS 3 areas of France

NUTS 3 areas of France by unemployment rate

Pyrénées-Orientales had the highest unemployment rate of 96 areas in 2022, at 11.6%. Cantal had the lowest, at 4%. The median was 6.85%. Source: the Institut national de la statistique et des études économiques (INSEE, France).

Keep it in a collection in your library.
Highest11.6Pyrénées-Orientales
Lowest4Cantal
Median6.8596 areas

Top 40 areas, 2022

Pyrénées-Orientales: 11.6 %Pyrénées-Orientales11.6Aisne: 10.4 %Aisne10.4Seine-Saint-Denis: 10.2 %Seine-Saint-Denis10.2Hérault: 10.1 %Hérault10.1Aude: 10 %Aude10Gard: 9.9 %Gard9.9Aube: 9.5 %Aube9.5Vaucluse: 9.5 %Vaucluse9.5Ariège: 9.4 %Ariège9.4Ardennes: 9.3 %Ardennes9.3Nord: 9.2 %Nord9.2Bouches-du-Rhône: 8.7 %Bouches-du-Rhône8.7Somme: 8.6 %Somme8.6Tarn-et-Garonne: 8.6 %Tarn-et-Garonne8.6Pas-de-Calais: 8.3 %Pas-de-Calais8.3Alpes-de-Haute-Provence: 8.2 %Alpes-de-Haute-Provence8.2Territoire de Belfort: 8.2 %Territoire de Belfort8.2Ardèche: 8 %Ardèche8Val-d’Oise: 8 %Val-d’Oise8Hautes-Pyrénées: 7.9 %Hautes-Pyrénées7.9Drôme: 7.8 %Drôme7.8Seine-Maritime: 7.8 %Seine-Maritime7.8Tarn: 7.8 %Tarn7.8Allier: 7.6 %Allier7.6Cher: 7.5 %Cher7.5Alpes-Maritimes: 7.4 %Alpes-Maritimes7.4Haute-Garonne: 7.4 %Haute-Garonne7.4Lot-et-Garonne: 7.4 %Lot-et-Garonne7.4Oise: 7.4 %Oise7.4Vosges: 7.4 %Vosges7.4Lot: 7.3 %Lot7.3Var: 7.3 %Var7.3Dordogne: 7.2 %Dordogne7.2Meuse: 7.2 %Meuse7.2Val-de-Marne: 7.2 %Val-de-Marne7.2Indre: 7.1 %Indre7.1Loire: 7.1 %Loire7.1Loiret: 7.1 %Loiret7.1Moselle: 7.1 %Moselle7.1Sarthe: 7.1 %Sarthe7.1Pyrénées-Orientales: 11.6 %Pyrénées-Orientales11.6Aisne: 10.4 %Aisne10.4Seine-Saint-Denis: 10.2 %Seine-Saint-Denis10.2Hérault: 10.1 %Hérault10.1Aude: 10 %Aude10Gard: 9.9 %Gard9.9Aube: 9.5 %Aube9.5Vaucluse: 9.5 %Vaucluse9.5Ariège: 9.4 %Ariège9.4Ardennes: 9.3 %Ardennes9.3Nord: 9.2 %Nord9.2Bouches-du-Rhône: 8.7 %Bouches-du-Rhône8.7Somme: 8.6 %Somme8.6Tarn-et-Garonne: 8.6 %Tarn-et-Garonne8.6Pas-de-Calais: 8.3 %Pas-de-Calais8.3Alpes-de-Haute-Provence: 8.2 %Alpes-de-Haute-Provence8.2Territoire de Belfort: 8.2 %Territoire de Belfort8.2Ardèche: 8 %Ardèche8Val-d’Oise: 8 %Val-d’Oise8Hautes-Pyrénées: 7.9 %Hautes-Pyrénées7.9Drôme: 7.8 %Drôme7.8Seine-Maritime: 7.8 %Seine-Maritime7.8Tarn: 7.8 %Tarn7.8Allier: 7.6 %Allier7.6Cher: 7.5 %Cher7.5Alpes-Maritimes: 7.4 %Alpes-Maritimes7.4Haute-Garonne: 7.4 %Haute-Garonne7.4Lot-et-Garonne: 7.4 %Lot-et-Garonne7.4Oise: 7.4 %Oise7.4Vosges: 7.4 %Vosges7.4Lot: 7.3 %Lot7.3Var: 7.3 %Var7.3Dordogne: 7.2 %Dordogne7.2Meuse: 7.2 %Meuse7.2Val-de-Marne: 7.2 %Val-de-Marne7.2Indre: 7.1 %Indre7.1Loire: 7.1 %Loire7.1Loiret: 7.1 %Loiret7.1Moselle: 7.1 %Moselle7.1Sarthe: 7.1 %Sarthe7.1
%. Source: INSEE, INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département. Retrieved 2026-10-12.

Full ranking

RankAreas2022 (%)Change on 2021
1Pyrénées-Orientales11.6-0.6 pts
2Aisne10.4-0.6 pts
3Seine-Saint-Denis10.2-0.7 pts
4Hérault10.1-0.7 pts
5Aude10-0.7 pts
6Gard9.9-0.6 pts
7Aube9.5-0.5 pts
7Vaucluse9.5-0.6 pts
9Ariège9.4-0.3 pts
10Ardennes9.3-0.2 pts
11Nord9.2-0.6 pts
12Bouches-du-Rhône8.7-0.5 pts
13Somme8.6-0.5 pts
13Tarn-et-Garonne8.6-0.5 pts
15Pas-de-Calais8.3-0.6 pts
16Alpes-de-Haute-Provence8.2-0.6 pts
16Territoire de Belfort8.2-0.7 pts
18Ardèche8-0.6 pts
18Val-d’Oise8-0.7 pts
20Hautes-Pyrénées7.9-0.8 pts
21Drôme7.8-0.7 pts
21Seine-Maritime7.8-0.8 pts
21Tarn7.8-0.2 pts
24Allier7.6-0.5 pts
25Cher7.5-0.3 pts
26Alpes-Maritimes7.4-1.1 pts
26Haute-Garonne7.4-0.7 pts
26Lot-et-Garonne7.4-0.5 pts
26Oise7.4-0.4 pts
26Vosges7.4-0.6 pts
31Lot7.3-0.5 pts
31Var7.3-0.8 pts
33Dordogne7.2-0.4 pts
33Meuse7.2-0.3 pts
33Val-de-Marne7.2-0.5 pts
36Indre7.1-0.4 pts
36Loire7.1-0.5 pts
36Loiret7.1-0.2 pts
36Moselle7.1-0.7 pts
36Sarthe7.1-0.6 pts
41Creuse70 pts
41Eure7-0.7 pts
41Marne7-0.4 pts
41Meurthe-et-Moselle7-0.5 pts
45Charente6.9-0.5 pts
45Charente-Maritime6.9-0.8 pts
45Haut-Rhin6.9-0.9 pts
45Landes6.9-0.6 pts
49Hautes-Alpes6.8-1.1 pts
50Eure-et-Loir6.7-0.3 pts
50Seine-et-Marne6.7-0.5 pts
50Yonne6.7-0.4 pts
53Gironde6.6-0.7 pts
53Nièvre6.60 pts
53Orne6.6-0.5 pts
56Doubs6.5-0.7 pts
56Haute-Vienne6.5-0.4 pts
56Indre-et-Loire6.5-0.4 pts
56Maine-et-Loire6.5-0.5 pts
60Calvados6.4-0.6 pts
60Essonne6.4-0.3 pts
60Haute-Corse6.4-0.6 pts
60Haute-Saône6.4-0.3 pts
60Rhône6.4-0.7 pts
60Yvelines6.4-0.3 pts
66Côtes-d’Armor6.3-0.5 pts
66Haute-Marne6.3-0.4 pts
66Puy-de-Dôme6.3-0.5 pts
66Saône-et-Loire6.3-0.2 pts
70Bas-Rhin6.2-0.5 pts
71Finistère6.1-0.6 pts
72Corrèze6-0.4 pts
72Loir-et-Cher6-0.4 pts
74Hauts-de-Seine5.9-0.7 pts
74Isère5.9-0.6 pts
74Vienne5.9-0.5 pts
77Corse-du-Sud5.8-0.7 pts
77Morbihan5.8-0.7 pts
79Aveyron5.7-0.3 pts
79Gers5.7-0.4 pts
79Loire-Atlantique5.7-0.7 pts
79Paris5.7-0.8 pts
79Pyrénées-Atlantiques5.7-0.6 pts
84Côte-d’Or5.6-0.3 pts
84Haute-Loire5.6-0.4 pts
86Ain5.4-0.5 pts
86Haute-Savoie5.4-1 pts
86Ille-et-Vilaine5.4-0.4 pts
89Deux-Sèvres5.3-0.3 pts
89Savoie5.3-1.2 pts
91Vendée5.2-0.6 pts
92Jura5.1-0.3 pts
92Manche5.1-0.4 pts
94Mayenne5-0.3 pts
95Lozère4.6-0.4 pts
96Cantal4-0.3 pts

Other periods

About this ranking

Unemployed people as a percentage of the labour force, using the survey definition of unemployment: without work, available and looking for work.

More on how it is measured
  • Spain: EPA, aged 16 and over.
  • EU: Labour Force Survey, aged 15 to 74.
  • United States: civilian labour force aged 16 and over, from the Current Population Survey for the nation and from BLS Local Area Unemployment Statistics models, consistent with that survey, for states, counties and cities.
  • United Kingdom regions: Labour Force Survey, aged 16 and over, seasonally adjusted.
  • Canada: Labour Force Survey, aged 15 and over, seasonally adjusted, for the country and the provinces.
  • Australia: Labour Force Survey, aged 15 and over, seasonally adjusted, for the nation and the six states; the ABS publishes no seasonally adjusted series for the Northern Territory and the Australian Capital Territory.
  • New Zealand: Household Labour Force Survey, aged 15 and over, seasonally adjusted for the country and not seasonally adjusted for regional council areas.
  • Norway: Statistics Norway Labour Force Survey, aged 15 to 74, seasonally adjusted monthly figures.
  • Sweden: Labour Force Survey, aged 15 to 74, seasonally adjusted and smoothed (the series Statistics Sweden gives in its monthly release), national.
  • Switzerland: Swiss Labour Force Survey (SLFS), ILO definition, permanent resident population aged 15 and over, seasonally adjusted quarterly averages, national.
  • For other countries, the source may be OECD survey-based rates, annual survey-based rates compiled by the ILO in ILOSTAT, or annual ILO modelled estimates published by the World Bank.
  • ILO modelled estimates cover ages 15 and over.
  • The World series uses those ILO modelled estimates.

Survey-based for national and Eurostat series. Available for Spain, regions, provinces, EU countries, US states, US counties, US cities (those of 25,000 or more and smaller New England cities), United Kingdom regions, Canadian provinces, Australia and its six states, New Zealand with 10 of its regions, Norway, Sweden and Switzerland (national), not Spanish municipalities. For Spanish municipalities use registered_unemployment_rate.

Every value in the ranking comes from the same publisher and the same period, so the areas are compared on one definition. Equal values share a rank.

How to cite

Source : Insee. INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département. https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982. Retrieved 2026-10-12. Licence Ouverte / Open Licence 2.0 (Etalab). No changes made to source values.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

Institut national de la statistique et des études économiques (INSEE, France). (2026). INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département (NUTS 3 areas of France by unemployment rate, 2022) [Data set]. Retrieved October 12, 2026, from https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982

MLA 9

INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département, NUTS 3 areas of France by unemployment rate, 2022. Institut national de la statistique et des études économiques (INSEE, France), 3 June 2026, https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982. Invokely, https://invokely.ai/rankings/unemployment-rate/france-provinces?period=2022. Accessed 12 Oct. 2026.

Chicago (author-date)

Institut national de la statistique et des études économiques (INSEE, France). 2026. INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département. NUTS 3 areas of France by unemployment rate, 2022. Dataset. Accessed October 12, 2026. https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982. Also distributed by Invokely, https://invokely.ai/rankings/unemployment-rate/france-provinces?period=2022.

Harvard

Institut national de la statistique et des études économiques (INSEE, France) (2026) INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département, NUTS 3 areas of France by unemployment rate, 2022 [Dataset]. Available at: https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982, via Invokely: https://invokely.ai/rankings/unemployment-rate/france-provinces?period=2022 (Accessed: 12 October 2026).

BibTeX
@misc{institut_nuts_3_areas_of_2022,
  author = {{Institut national de la statistique et des études économiques (INSEE, France)}},
  title = {{INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département: NUTS 3 areas of France by unemployment rate, 2022}},
  year = {2026},
  howpublished = {Data set},
  url = {https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/unemployment-rate/france-provinces?period=2022. Publisher attribution: Source : Insee. INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département. https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX\_CHOMAGE\_LOCALISE\_MOYENNE\_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982. Retrieved 2026-10-12. Licence Ouverte / Open Licence 2.0 (Etalab). No changes made to source values.},
}
RIS
TY  - DATA
AU  - Institut national de la statistique et des études économiques (INSEE, France)
TI  - INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département: NUTS 3 areas of France by unemployment rate, 2022
PY  - 2026
DA  - 2026/06/03
PB  - Institut national de la statistique et des études économiques (INSEE, France)
DB  - Invokely
UR  - https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982
L2  - https://invokely.ai/rankings/unemployment-rate/france-provinces?period=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unemployment-rate/france-provinces?period=2022.
N1  - Publisher attribution: Source : Insee. INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département. https://bdm.insee.fr/series/sdmx/data/TCRED-TRAVAIL-EMPLOI-TCHOMA-SA/A.TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE.TAUX..0.00-.POURCENT.BRUT?startPeriod=1982. Retrieved 2026-10-12. Licence Ouverte / Open Licence 2.0 (Etalab). No changes made to source values.
ER  -
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank NUTS 3 areas of France by unemployment rate using official data, and cite the source.
rank_places {"indicator":"unemployment_rate","level":"province","within":"France","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=unemployment_rate&level=province&within=France&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which area has the highest unemployment rate?

Pyrénées-Orientales, with 11.6% in 2022, according to the Institut national de la statistique et des études économiques (INSEE, France).

Which area has the lowest unemployment rate?

Cantal, with 4% in 2022.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Institut national de la statistique et des études économiques (INSEE, France), INSEE, BDM dataflow TCRED-TRAVAIL-EMPLOI-TCHOMA-SA: localised unemployment rate, annual average, all ages, both sexes, by département. Retrieved 2026-10-12.

Unemployment rate: other rankings

NUTS 3 areas of France: more rankings