NUTS 3 areas of France by population

Name: NUTS 3 areas of France by population, 2018
Creator: Eurostat, European Commission
License: Eurostat reuse policy (commercial and non-commercial reuse, attribution required)

Nord had the highest population of 101 areas in 2018, at 2.61 million. Lozère had the lowest, at 76,520. The median was 533,220 and the figure for France was 67.03 million. Source: Eurostat, European Commission.

Highest2,606,234Nord

Lowest76,520Lozère

Median533,220101 areas

France67,026,224History

Top 40 areas, 2018

CSV Chart (SVG)

persons. Source: Eurostat. Retrieved 2026-10-08.

Full ranking

Rank	Areas	2018 persons	Change on 2017
1	Nord	2,606,234	+0.1%
2	Paris	2,175,601	-0.5%
3	Bouches-du-Rhône	2,034,357	+0.5%
4	Rhône	1,859,524	+0.9%
5	Seine-Saint-Denis	1,632,677	+0.6%
6	Hauts-de-Seine	1,619,120	+0.6%
7	Gironde	1,601,845	+1.2%
8	Pas-de-Calais	1,466,743	-0.1%
9	Yvelines	1,441,398	+0.2%
10	Seine-et-Marne	1,412,516	+0.6%
11	Loire-Atlantique	1,412,502	+1.3%
12	Val-de-Marne	1,396,913	+0.6%
13	Haute-Garonne	1,380,672	+1.3%
14	Essonne	1,296,641	0%
15	Isère	1,263,563	+0.4%
16	Seine-Maritime	1,255,883	+0.1%
17	Val-d’Oise	1,238,581	+0.8%
18	Hérault	1,159,220	+1.3%
19	Bas-Rhin	1,133,552	+0.7%
20	Alpes-Maritimes	1,086,219	+0.3%
21	Ille-et-Vilaine	1,069,228	+0.9%
22	Var	1,067,697	+0.8%
23	Moselle	1,043,524	0%
24	Finistère	911,735	+0.3%
25	La Réunion	855,961	+0.3%
26	Oise	827,153	+0.3%
27	Haute-Savoie	816,699	+1.2%
28	Maine-et-Loire	815,883	+0.3%
29	Haut-Rhin	764,981	+0.1%
30	Loire	763,441	+0.1%
31	Morbihan	754,867	+0.5%
32	Gard	745,458	+0.2%
33	Meurthe-et-Moselle	733,469	-0%
34	Calvados	694,056	0%
35	Vendée	679,991	+0.7%
36	Pyrénées-Atlantiques	679,810	+0.4%
37	Loiret	678,845	+0.1%
38	Puy-de-Dôme	659,048	+0.8%
39	Ain	647,634	+0.7%
40	Charente-Maritime	646,932	+0.4%
41	Indre-et-Loire	607,760	+0.2%
42	Eure	599,962	-0.3%
43	Côtes-d’Armor	599,584	+0.1%
44	Somme	570,662	-0.3%
45	Marne	567,462	-0.3%
46	Sarthe	565,963	-0.1%
47	Vaucluse	559,793	+0.1%
48	Saône-et-Loire	552,185	-0.3%
49	Doubs	541,454	+0.4%
50	Aisne	533,316	-0.2%
51	Côte-d’Or	533,220	-0.1%
52	Drôme	514,732	+0.6%
53	Manche	495,983	-0.2%
54	Pyrénées-Orientales	476,357	+0.4%
55	Vienne	437,586	+0.2%
56	Savoie	433,724	+0.6%
57	Eure-et-Loir	431,997	-0.3%
58	Guadeloupe	421,694	-0.9%
59	Dordogne	413,418	-0%
60	Landes	410,355	+0.7%
61	Tarn	388,596	+0.2%
62	Deux-Sèvres	374,799	+0.1%
63	Haute-Vienne	373,199	-0.3%
64	Aude	372,806	+0.7%
65	Martinique	368,783	-1%
66	Vosges	366,112	-0.4%
67	Charente	351,778	-0.2%
68	Yonne	337,504	-0.2%
69	Allier	337,171	-0.2%
70	Lot-et-Garonne	331,970	-0.3%
71	Loir-et-Cher	330,248	-0.5%
72	Ardèche	326,606	+0.3%
73	Aube	310,020	0%
74	Mayenne	307,084	-0.1%
75	Cher	303,408	-0.3%
76	Orne	281,593	-0.6%
77	Aveyron	279,274	0%
78	Guyane	276,128	+2.8%
79	Ardennes	271,845	-0.6%
80	Jura	259,746	-0.2%
81	Mayotte	259,621	+3.8%
82	Tarn-et-Garonne	259,124	+0.3%
83	Corrèze	240,583	-0.4%
84	Haute-Saône	236,018	-0.3%
85	Hautes-Pyrénées	229,191	+0.3%
86	Haute-Loire	227,552	+0.1%
87	Indre	220,595	-0.7%
88	Nièvre	205,828	-0.7%
89	Gers	191,283	+0.1%
90	Meuse	185,355	-1%
91	Haute-Corse	180,701	+1.7%
92	Haute-Marne	174,069	-0.9%
93	Lot	173,929	+0.1%
94	Alpes-de-Haute-Provence	164,068	+0.1%
95	Corse-du-Sud	157,853	+0.4%
96	Ariège	153,066	-0.1%
97	Cantal	144,765	-0.3%
98	Territoire de Belfort	141,852	-0.5%
99	Hautes-Alpes	140,698	-0.4%
100	Creuse	117,503	-1%
101	Lozère	76,520	-0.1%

Other periods

About this ranking

Resident population. Spain and the EU: 1 January, with Spanish figures from the official municipal register (Padrón). United States: Census Bureau population estimates for 1 July. Other countries and the World: World Bank mid-year estimates, which count all residents regardless of legal status or citizenship.

For Denmark, Statistics Denmark counts the registered resident population on 1 January. Greenland and the Faroe Islands are excluded. The annual series selects the first-quarter reference date from FOLK1A. The World Bank series exists for every country, so use it (through compare) to rank countries on one basis.

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

Eurostat. Population on 1 January by NUTS 3 region (demo_r_pjanaggr3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanaggr3/default/table. Retrieved 2026-10-08.

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 population using official data, and cite the source.

rank_places {"indicator":"population","level":"province","within":"France","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population&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 population?

Nord, with 2.61 million in 2018, according to Eurostat, European Commission.

Which area has the lowest population?

Lozère, with 76,520 in 2018.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Population on 1 January by NUTS 3 region (demo_r_pjanaggr3). Retrieved 2026-10-08.