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 2019, at 13.6%. Cantal had the lowest, at 4.9%. The median was 7.95%. Source: the Institut national de la statistique et des études économiques (INSEE, France).

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Highest13.6Pyrénées-Orientales
Lowest4.9Cantal
Median7.9596 areas

Top 40 areas, 2019

Pyrénées-Orientales: 13.6 %Pyrénées-Orientales13.6Hérault: 11.8 %Hérault11.8Aisne: 11.6 %Aisne11.6Aude: 11.6 %Aude11.6Gard: 11.6 %Gard11.6Nord: 11 %Nord11Vaucluse: 11 %Vaucluse11Seine-Saint-Denis: 10.9 %Seine-Saint-Denis10.9Aube: 10.7 %Aube10.7Ariège: 10.6 %Ariège10.6Pas-de-Calais: 10.2 %Pas-de-Calais10.2Bouches-du-Rhône: 10.1 %Bouches-du-Rhône10.1Ardennes: 10 %Ardennes10Somme: 10 %Somme10Alpes-de-Haute-Provence: 9.8 %Alpes-de-Haute-Provence9.8Tarn-et-Garonne: 9.6 %Tarn-et-Garonne9.6Seine-Maritime: 9.4 %Seine-Maritime9.4Hautes-Pyrénées: 9.3 %Hautes-Pyrénées9.3Drôme: 9.2 %Drôme9.2Ardèche: 9.1 %Ardèche9.1Var: 9.1 %Var9.1Territoire de Belfort: 9 %Territoire de Belfort9Allier: 8.9 %Allier8.9Tarn: 8.9 %Tarn8.9Vosges: 8.9 %Vosges8.9Cher: 8.8 %Cher8.8Alpes-Maritimes: 8.7 %Alpes-Maritimes8.7Lot-et-Garonne: 8.6 %Lot-et-Garonne8.6Charente-Maritime: 8.5 %Charente-Maritime8.5Dordogne: 8.5 %Dordogne8.5Val-d’Oise: 8.5 %Val-d’Oise8.5Eure: 8.4 %Eure8.4Haute-Corse: 8.4 %Haute-Corse8.4Loiret: 8.4 %Loiret8.4Loire: 8.3 %Loire8.3Lot: 8.3 %Lot8.3Oise: 8.3 %Oise8.3Sarthe: 8.3 %Sarthe8.3Eure-et-Loir: 8.2 %Eure-et-Loir8.2Indre: 8.2 %Indre8.2Pyrénées-Orientales: 13.6 %Pyrénées-Orientales13.6Hérault: 11.8 %Hérault11.8Aisne: 11.6 %Aisne11.6Aude: 11.6 %Aude11.6Gard: 11.6 %Gard11.6Nord: 11 %Nord11Vaucluse: 11 %Vaucluse11Seine-Saint-Denis: 10.9 %Seine-Saint-Denis10.9Aube: 10.7 %Aube10.7Ariège: 10.6 %Ariège10.6Pas-de-Calais: 10.2 %Pas-de-Calais10.2Bouches-du-Rhône: 10.1 %Bouches-du-Rhône10.1Ardennes: 10 %Ardennes10Somme: 10 %Somme10Alpes-de-Haute-Provence: 9.8 %Alpes-de-Haute-Provence9.8Tarn-et-Garonne: 9.6 %Tarn-et-Garonne9.6Seine-Maritime: 9.4 %Seine-Maritime9.4Hautes-Pyrénées: 9.3 %Hautes-Pyrénées9.3Drôme: 9.2 %Drôme9.2Ardèche: 9.1 %Ardèche9.1Var: 9.1 %Var9.1Territoire de Belfort: 9 %Territoire de Belfort9Allier: 8.9 %Allier8.9Tarn: 8.9 %Tarn8.9Vosges: 8.9 %Vosges8.9Cher: 8.8 %Cher8.8Alpes-Maritimes: 8.7 %Alpes-Maritimes8.7Lot-et-Garonne: 8.6 %Lot-et-Garonne8.6Charente-Maritime: 8.5 %Charente-Maritime8.5Dordogne: 8.5 %Dordogne8.5Val-d’Oise: 8.5 %Val-d’Oise8.5Eure: 8.4 %Eure8.4Haute-Corse: 8.4 %Haute-Corse8.4Loiret: 8.4 %Loiret8.4Loire: 8.3 %Loire8.3Lot: 8.3 %Lot8.3Oise: 8.3 %Oise8.3Sarthe: 8.3 %Sarthe8.3Eure-et-Loir: 8.2 %Eure-et-Loir8.2Indre: 8.2 %Indre8.2
%. 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

RankAreas2019 (%)Change on 2018
1Pyrénées-Orientales13.6-0.5 pts
2Hérault11.8-0.7 pts
3Aisne11.6-0.8 pts
3Aude11.6-0.7 pts
3Gard11.6-0.6 pts
6Nord11-0.9 pts
6Vaucluse11-0.6 pts
8Seine-Saint-Denis10.9-0.8 pts
9Aube10.7-0.6 pts
10Ariège10.6-0.6 pts
11Pas-de-Calais10.2-0.9 pts
12Bouches-du-Rhône10.1-0.8 pts
13Ardennes10-0.4 pts
13Somme10-0.8 pts
15Alpes-de-Haute-Provence9.8-0.6 pts
16Tarn-et-Garonne9.6-0.8 pts
17Seine-Maritime9.4-0.7 pts
18Hautes-Pyrénées9.3-0.4 pts
19Drôme9.2-0.6 pts
20Ardèche9.1-0.7 pts
20Var9.1-0.7 pts
22Territoire de Belfort9-0.2 pts
23Allier8.9-0.5 pts
23Tarn8.9-0.7 pts
23Vosges8.9-0.5 pts
26Cher8.8-0.5 pts
27Alpes-Maritimes8.7-0.7 pts
28Lot-et-Garonne8.6-0.3 pts
29Charente-Maritime8.5-0.5 pts
29Dordogne8.5-0.6 pts
29Val-d’Oise8.5-0.7 pts
32Eure8.4-0.7 pts
32Haute-Corse8.4-1 pts
32Loiret8.4-0.3 pts
35Loire8.3-0.4 pts
35Lot8.3-0.3 pts
35Oise8.3-0.7 pts
35Sarthe8.3-0.3 pts
39Eure-et-Loir8.2-0.3 pts
39Indre8.2-0.6 pts
39Moselle8.2-0.6 pts
42Charente8.1-0.5 pts
42Gironde8.1-0.7 pts
42Haute-Garonne8.1-0.5 pts
45Haut-Rhin8-0.3 pts
45Hautes-Alpes8-0.5 pts
45Landes8-0.5 pts
45Meurthe-et-Moselle8-0.7 pts
49Creuse7.9-0.6 pts
49Marne7.9-0.5 pts
49Meuse7.9-0.7 pts
52Orne7.8-0.5 pts
52Yonne7.8-0.4 pts
54Calvados7.7-0.7 pts
54Corse-du-Sud7.7-0.6 pts
54Haute-Saône7.7-0.3 pts
54Haute-Vienne7.7-0.5 pts
54Indre-et-Loire7.7-0.4 pts
54Maine-et-Loire7.7-0.4 pts
60Doubs7.6-0.1 pts
61Rhône7.5-0.5 pts
61Saône-et-Loire7.5-0.3 pts
61Val-de-Marne7.5-0.5 pts
64Côtes-d’Armor7.4-0.5 pts
64Haute-Marne7.4-0.7 pts
66Finistère7.3-0.5 pts
66Morbihan7.3-0.6 pts
66Nièvre7.3-0.4 pts
66Puy-de-Dôme7.3-0.5 pts
70Bas-Rhin7.1-0.4 pts
70Loir-et-Cher7.1-0.6 pts
72Pyrénées-Atlantiques7-0.5 pts
73Côte-d’Or6.9-0.5 pts
73Isère6.9-0.5 pts
73Seine-et-Marne6.9-0.4 pts
73Vienne6.9-0.5 pts
77Loire-Atlantique6.8-0.4 pts
78Corrèze6.7-0.5 pts
79Essonne6.6-0.4 pts
79Haute-Loire6.6-0.5 pts
81Hauts-de-Seine6.5-0.4 pts
81Paris6.5-0.5 pts
81Vendée6.5-0.2 pts
81Yvelines6.5-0.3 pts
85Ille-et-Vilaine6.4-0.4 pts
85Savoie6.4-0.4 pts
87Aveyron6.3-0.3 pts
87Gers6.3-0.4 pts
89Deux-Sèvres6.2-0.5 pts
89Haute-Savoie6.2-0.3 pts
91Ain6.1-0.2 pts
91Jura6.1-0.3 pts
91Manche6.1-0.6 pts
94Mayenne5.6-0.2 pts
95Lozère5.4-0.3 pts
96Cantal4.9-0.4 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, 2019) [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, 2019. 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=2019. 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, 2019. 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=2019.

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, 2019 [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=2019 (Accessed: 12 October 2026).

BibTeX
@misc{institut_nuts_3_areas_of_2019,
  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, 2019}},
  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=2019. 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, 2019
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=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unemployment-rate/france-provinces?period=2019.
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  -
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Questions

Which area has the highest unemployment rate?

Pyrénées-Orientales, with 13.6% in 2019, according to the Institut national de la statistique et des études économiques (INSEE, France).

Which area has the lowest unemployment rate?

Cantal, with 4.9% in 2019.

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