NUTS 3 areas of France by net migration including statistical adjustment

Gironde had the highest net migration including statistical adjustment of 101 areas in 2017, at 14,984. Paris had the lowest, at -25,118. The median was 335 and the figure for France was 52,773. Source: Eurostat, European Commission.

Highest14,984Gironde

Lowest-25,118Paris

Median335101 areas

France52,773History

Top 40 areas, 2017

persons. Source: Eurostat, Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Full ranking

Rank	Areas	2017 persons	Change on 2016
1	Gironde	14,984	+20.3%
2	Loire-Atlantique	12,801	+41.9%
3	Hérault	12,497	+24.7%
4	Haute-Garonne	11,649	+51.6%
5	Var	10,359	+168.9%
6	Ille-et-Vilaine	5,848	+18.8%
7	Vendée	5,825	+9.3%
8	Morbihan	5,613	+20.6%
9	Charente-Maritime	5,422	+25.8%
10	Puy-de-Dôme	5,353	+89.2%
11	Haute-Savoie	5,285	+201%
12	Bas-Rhin	5,035	+602.2%
13	Finistère	4,799	+69.9%
14	Landes	4,122	+25.1%
15	Pyrénées-Atlantiques	3,865	-7.7%
16	Rhône	3,703	+162.7%
17	Aude	3,614	+11.2%
18	Pyrénées-Orientales	3,175	+188.9%
19	Haute-Corse	3,131	+92.8%
20	Alpes-Maritimes	3,120	+541.3%
21	Côtes-d’Armor	2,853	+64.5%
22	Bouches-du-Rhône	2,716	+173.3%
23	Drôme	2,417	-7.8%
24	Ain	2,385	-9.7%
25	Dordogne	2,288	+93.7%
26	Savoie	1,857	+216.4%
27	Tarn	1,779	-11.3%
28	Ardèche	1,686	+28.9%
29	Hautes-Pyrénées	1,564	-3.2%
30	Aveyron	1,364	-17.2%
31	Gers	1,330	-1.3%
32	Deux-Sèvres	1,189	+2,081.7%
33	Lot	1,140	-24.2%
34	Haute-Loire	928	+95.4%
35	Doubs	893	+165.7%
36	Tarn-et-Garonne	869	-36.4%
37	Indre-et-Loire	826	+229.7%
38	Gard	806	-47.9%
39	Cantal	772	+447.5%
40	Corse-du-Sud	732	-75.9%
41	Vienne	726	+1.1%
42	Allier	681	+773.1%
43	Ariège	602	0%
44	Charente	600	+1,918.2%
45	Alpes-de-Haute-Provence	599	-65.6%
46	Maine-et-Loire	591	+34.3%
47	Mayotte	451	+23.6%
48	Manche	374	+241.1%
49	Lozère	347	-33.3%
50	Corrèze	335	-70.5%
50	Guyane	335	+104.8%
52	Calvados	297	+145.5%
53	Lot-et-Garonne	290	-60.2%
54	Yonne	234	+115.7%
55	Saône-et-Loire	196	+615.8%
56	Nièvre	163	+124.7%
57	Cher	89	+104.6%
58	Aube	47	-95.1%
59	Creuse	16	-94.5%
60	Jura	-64	+48.8%
61	Indre	-235	-1,858.3%
62	Haute-Saône	-268	+9.8%
63	Loire	-276	-245%
64	Mayenne	-328	+10.9%
65	Isère	-333	-1,685.7%
66	Haut-Rhin	-400	-9.3%
67	Hautes-Alpes	-413	-223.7%
68	Haute-Vienne	-464	-436.2%
69	Moselle	-487	+82.2%
70	Vosges	-500	+47.6%
71	Oise	-542	+78.7%
72	Sarthe	-546	+67.2%
73	Vaucluse	-653	+3%
74	Loiret	-795	-142%
75	Meurthe-et-Moselle	-819	+44.9%
76	Seine-Maritime	-823	+80%
77	Loir-et-Cher	-873	-154.5%
78	Côte-d’Or	-923	-2,063.8%
79	Haute-Marne	-936	+53.2%
80	Orne	-965	+20.9%
81	Seine-et-Marne	-1,036	+69.5%
82	Territoire de Belfort	-1,061	+41%
83	Ardennes	-1,309	+20.3%
84	Aisne	-1,377	+23.7%
85	Meuse	-1,550	-2.9%
86	Eure-et-Loir	-1,965	-17.7%
87	Somme	-2,047	-238.3%
88	Val-d’Oise	-2,179	+61.2%
89	Marne	-2,190	+31.5%
90	Eure	-2,985	-13.3%
91	Pas-de-Calais	-3,005	+41.2%
92	Hauts-de-Seine	-3,136	+59.8%
93	Val-de-Marne	-3,230	-31%
94	Martinique	-4,234	+3.4%
95	Guadeloupe	-5,246	+14.9%
96	Yvelines	-6,303	-85.5%
97	La Réunion	-6,733	+19.1%
98	Nord	-7,803	+25.6%
99	Essonne	-10,122	-449.8%
100	Seine-Saint-Denis	-10,546	-166.4%
101	Paris	-25,118	-46.6%

Other periods

About this ranking

Population change during the year minus natural change (live births minus deaths), including statistical adjustment. A negative value means the population fell by more than natural change explains (Eurostat demographic balance).

Eurostat calculates this as a residual, not by counting immigrants and emigrants, so it also absorbs census revisions and other statistical adjustments. For the EU it reflects migration to and from countries outside the EU. net_migration (World Bank, UN estimate) uses a different method, so the two series differ.

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 change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Retrieved 2026-10-12.

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

Eurostat, European Commission. (2026). Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of France by net migration including statistical adjustment, 2017) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table

MLA 9

Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of France by net migration including statistical adjustment, 2017. Eurostat, European Commission, 21 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/france-provinces?period=2017. Accessed 12 Oct. 2026.

Chicago (author-date)

Eurostat, European Commission. 2026. Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). NUTS 3 areas of France by net migration including statistical adjustment, 2017. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Also distributed by Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/france-provinces?period=2017.

Harvard

Eurostat, European Commission (2026) Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of France by net migration including statistical adjustment, 2017 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/net-migration-including-statistical-adjustment/france-provinces?period=2017 (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_nuts_3_areas_of_2017,
  author = {{Eurostat, European Commission}},
  title = {{Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): NUTS 3 areas of France by net migration including statistical adjustment, 2017}},
  year = {2026},
  howpublished = {Data set},
  url = {https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/france-provinces?period=2017. Publisher attribution: Eurostat. Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo\_r\_gind3/default/table. Retrieved 2026-10-12.},
}

RIS

TY  - DATA
AU  - Eurostat, European Commission
TI  - Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3): NUTS 3 areas of France by net migration including statistical adjustment, 2017
PY  - 2026
DA  - 2026/07/21
PB  - Eurostat, European Commission
DB  - Invokely
UR  - https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
L2  - https://invokely.ai/rankings/net-migration-including-statistical-adjustment/france-provinces?period=2017
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/france-provinces?period=2017.
N1  - Publisher attribution: Eurostat. Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Retrieved 2026-10-12.
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.

Embed code

<iframe src="https://invokely.ai/embed/rankings/net-migration-including-statistical-adjustment/france-provinces?period=2017" width="760" height="500" title="NUTS 3 areas of France by net migration including statistical adjustment, 2017, chart from Invokely" loading="lazy" style="border:0;width:100%;max-width:760px" referrerpolicy="strict-origin-when-cross-origin"></iframe>

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 net migration including statistical adjustment using official data, and cite the source.

rank_places {"indicator":"net_migration_plus_adjustment","level":"province","within":"France","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment&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 net migration including statistical adjustment?

Gironde, with 14,984 in 2017, according to Eurostat, European Commission.

Which area has the lowest net migration including statistical adjustment?

Paris, with -25,118 in 2017.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.