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 2018, at 14.1%. Cantal had the lowest, at 5.3%. The median was 8.5%. Source: the Institut national de la statistique et des études économiques (INSEE, France).

Keep it in a collection in your library.
Highest14.1Pyrénées-Orientales
Lowest5.3Cantal
Median8.596 areas

Top 40 areas, 2018

Pyrénées-Orientales: 14.1 %Pyrénées-Orientales14.1Hérault: 12.5 %Hérault12.5Aisne: 12.4 %Aisne12.4Aude: 12.3 %Aude12.3Gard: 12.2 %Gard12.2Nord: 11.9 %Nord11.9Seine-Saint-Denis: 11.7 %Seine-Saint-Denis11.7Vaucluse: 11.6 %Vaucluse11.6Aube: 11.3 %Aube11.3Ariège: 11.2 %Ariège11.2Pas-de-Calais: 11.1 %Pas-de-Calais11.1Bouches-du-Rhône: 10.9 %Bouches-du-Rhône10.9Somme: 10.8 %Somme10.8Alpes-de-Haute-Provence: 10.4 %Alpes-de-Haute-Provence10.4Ardennes: 10.4 %Ardennes10.4Tarn-et-Garonne: 10.4 %Tarn-et-Garonne10.4Seine-Maritime: 10.1 %Seine-Maritime10.1Ardèche: 9.8 %Ardèche9.8Drôme: 9.8 %Drôme9.8Var: 9.8 %Var9.8Hautes-Pyrénées: 9.7 %Hautes-Pyrénées9.7Tarn: 9.6 %Tarn9.6Allier: 9.4 %Allier9.4Alpes-Maritimes: 9.4 %Alpes-Maritimes9.4Haute-Corse: 9.4 %Haute-Corse9.4Vosges: 9.4 %Vosges9.4Cher: 9.3 %Cher9.3Territoire de Belfort: 9.2 %Territoire de Belfort9.2Val-d’Oise: 9.2 %Val-d’Oise9.2Dordogne: 9.1 %Dordogne9.1Eure: 9.1 %Eure9.1Charente-Maritime: 9 %Charente-Maritime9Oise: 9 %Oise9Lot-et-Garonne: 8.9 %Lot-et-Garonne8.9Gironde: 8.8 %Gironde8.8Indre: 8.8 %Indre8.8Moselle: 8.8 %Moselle8.8Loire: 8.7 %Loire8.7Loiret: 8.7 %Loiret8.7Meurthe-et-Moselle: 8.7 %Meurthe-et-Moselle8.7Pyrénées-Orientales: 14.1 %Pyrénées-Orientales14.1Hérault: 12.5 %Hérault12.5Aisne: 12.4 %Aisne12.4Aude: 12.3 %Aude12.3Gard: 12.2 %Gard12.2Nord: 11.9 %Nord11.9Seine-Saint-Denis: 11.7 %Seine-Saint-Denis11.7Vaucluse: 11.6 %Vaucluse11.6Aube: 11.3 %Aube11.3Ariège: 11.2 %Ariège11.2Pas-de-Calais: 11.1 %Pas-de-Calais11.1Bouches-du-Rhône: 10.9 %Bouches-du-Rhône10.9Somme: 10.8 %Somme10.8Alpes-de-Haute-Provence: 10.4 %Alpes-de-Haute-Provence10.4Ardennes: 10.4 %Ardennes10.4Tarn-et-Garonne: 10.4 %Tarn-et-Garonne10.4Seine-Maritime: 10.1 %Seine-Maritime10.1Ardèche: 9.8 %Ardèche9.8Drôme: 9.8 %Drôme9.8Var: 9.8 %Var9.8Hautes-Pyrénées: 9.7 %Hautes-Pyrénées9.7Tarn: 9.6 %Tarn9.6Allier: 9.4 %Allier9.4Alpes-Maritimes: 9.4 %Alpes-Maritimes9.4Haute-Corse: 9.4 %Haute-Corse9.4Vosges: 9.4 %Vosges9.4Cher: 9.3 %Cher9.3Territoire de Belfort: 9.2 %Territoire de Belfort9.2Val-d’Oise: 9.2 %Val-d’Oise9.2Dordogne: 9.1 %Dordogne9.1Eure: 9.1 %Eure9.1Charente-Maritime: 9 %Charente-Maritime9Oise: 9 %Oise9Lot-et-Garonne: 8.9 %Lot-et-Garonne8.9Gironde: 8.8 %Gironde8.8Indre: 8.8 %Indre8.8Moselle: 8.8 %Moselle8.8Loire: 8.7 %Loire8.7Loiret: 8.7 %Loiret8.7Meurthe-et-Moselle: 8.7 %Meurthe-et-Moselle8.7
%. 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

RankAreas2018 (%)Change on 2017
1Pyrénées-Orientales14.1-0.2 pts
2Hérault12.5-0.5 pts
3Aisne12.4-0.6 pts
4Aude12.3-0.4 pts
5Gard12.2-0.3 pts
6Nord11.9-0.3 pts
7Seine-Saint-Denis11.7-0.3 pts
8Vaucluse11.6-0.4 pts
9Aube11.3-0.6 pts
10Ariège11.2-0.3 pts
11Pas-de-Calais11.1-0.4 pts
12Bouches-du-Rhône10.9-0.4 pts
13Somme10.8-0.4 pts
14Alpes-de-Haute-Provence10.4-0.3 pts
14Ardennes10.4-0.7 pts
14Tarn-et-Garonne10.4-0.4 pts
17Seine-Maritime10.1-0.5 pts
18Ardèche9.8-0.3 pts
18Drôme9.8-0.3 pts
18Var9.8-0.4 pts
21Hautes-Pyrénées9.7-0.6 pts
22Tarn9.6-0.4 pts
23Allier9.4-0.3 pts
23Alpes-Maritimes9.4-0.4 pts
23Haute-Corse9.4-0.3 pts
23Vosges9.4-0.6 pts
27Cher9.3-0.4 pts
28Territoire de Belfort9.2-0.4 pts
28Val-d’Oise9.2-0.3 pts
30Dordogne9.1-0.5 pts
30Eure9.1-0.4 pts
32Charente-Maritime9-0.5 pts
32Oise9-0.4 pts
34Lot-et-Garonne8.9-0.4 pts
35Gironde8.8-0.5 pts
35Indre8.8-0.3 pts
35Moselle8.8-0.7 pts
38Loire8.7-0.5 pts
38Loiret8.7-0.3 pts
38Meurthe-et-Moselle8.7-0.6 pts
41Charente8.6-0.3 pts
41Haute-Garonne8.6-0.6 pts
41Lot8.6-0.2 pts
41Meuse8.6-0.4 pts
41Sarthe8.6-0.4 pts
46Creuse8.50 pts
46Eure-et-Loir8.5-0.4 pts
46Hautes-Alpes8.5-0.2 pts
46Landes8.5-0.5 pts
50Calvados8.4-0.3 pts
50Marne8.4-0.5 pts
52Corse-du-Sud8.3-0.8 pts
52Haut-Rhin8.3-0.7 pts
52Orne8.3-0.3 pts
55Haute-Vienne8.2-0.5 pts
55Yonne8.2-0.6 pts
57Haute-Marne8.1-0.4 pts
57Indre-et-Loire8.1-0.4 pts
57Maine-et-Loire8.1-0.4 pts
60Haute-Saône8-0.6 pts
60Rhône8-0.4 pts
60Val-de-Marne8-0.4 pts
63Côtes-d’Armor7.9-0.4 pts
63Morbihan7.9-0.5 pts
65Finistère7.8-0.4 pts
65Puy-de-Dôme7.8-0.3 pts
65Saône-et-Loire7.8-0.5 pts
68Doubs7.7-0.6 pts
68Loir-et-Cher7.7-0.3 pts
68Nièvre7.7-0.7 pts
71Bas-Rhin7.5-0.6 pts
71Pyrénées-Atlantiques7.5-0.3 pts
73Côte-d’Or7.4-0.4 pts
73Isère7.4-0.4 pts
73Vienne7.4-0.2 pts
76Seine-et-Marne7.3-0.2 pts
77Corrèze7.2-0.2 pts
77Loire-Atlantique7.2-0.4 pts
79Haute-Loire7.1-0.3 pts
80Essonne7-0.2 pts
80Paris7-0.4 pts
82Hauts-de-Seine6.9-0.2 pts
83Ille-et-Vilaine6.8-0.4 pts
83Savoie6.8-0.5 pts
83Yvelines6.8-0.2 pts
86Deux-Sèvres6.7-0.5 pts
86Gers6.7-0.5 pts
86Manche6.7-0.5 pts
86Vendée6.7-0.4 pts
90Aveyron6.6-0.3 pts
91Haute-Savoie6.5-0.3 pts
92Jura6.4-0.4 pts
93Ain6.3-0.4 pts
94Mayenne5.8-0.4 pts
95Lozère5.7-0.3 pts
96Cantal5.3-0.3 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, 2018) [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, 2018. 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=2018. 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, 2018. 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=2018.

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, 2018 [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=2018 (Accessed: 12 October 2026).

BibTeX
@misc{institut_nuts_3_areas_of_2018,
  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, 2018}},
  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=2018. 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, 2018
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=2018
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unemployment-rate/france-provinces?period=2018.
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 14.1% in 2018, according to the Institut national de la statistique et des études économiques (INSEE, France).

Which area has the lowest unemployment rate?

Cantal, with 5.3% in 2018.

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