NUTS 3 areas of Hungary by net migration rate including statistical adjustment

Pest had the highest net migration rate including statistical adjustment of 20 areas in 2017, at 12.9 per 1,000 inhabitants. Szabolcs-Szatmár-Bereg had the lowest, at -6.6 per 1,000 inhabitants. The median was -0.3 per 1,000 inhabitants and the figure for Hungary was 1.1 per 1,000 inhabitants. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest12.9Pest
Median-0.320 areas
Hungary1.1History

All areas, 2017

Pest: 12.9 per 1,000 inhabitantsPest12.9Győr-Moson-Sopron: 9 per 1,000 inhabitantsGyőr-Moson-Sopron9Fejér: 5.3 per 1,000 inhabitantsFejér5.3Komárom-Esztergom: 4.7 per 1,000 inhabitantsKomárom-Esztergom4.7Vas: 4.5 per 1,000 inhabitantsVas4.5Veszprém: 1.8 per 1,000 inhabitantsVeszprém1.8Csongrád-Csanád: 1.3 per 1,000 inhabitantsCsongrád-Csanád1.3Baranya: 0.4 per 1,000 inhabitantsBaranya0.4Heves: 0.4 per 1,000 inhabitantsHeves0.4Budapest: -0.1 per 1,000 inhabitantsBudapest-0.1Bács-Kiskun: -0.4 per 1,000 inhabitantsBács-Kiskun-0.4Jász-Nagykun-Szolnok: -1.7 per 1,000 inhabitantsJász-Nagykun-Szolnok-1.7Zala: -2.1 per 1,000 inhabitantsZala-2.1Hajdú-Bihar: -2.3 per 1,000 inhabitantsHajdú-Bihar-2.3Nógrád: -3.1 per 1,000 inhabitantsNógrád-3.1Somogy: -4.1 per 1,000 inhabitantsSomogy-4.1Borsod-Abaúj-Zemplén: -5.6 per 1,000 inhabitantsBorsod-Abaúj-Zemplén-5.6Tolna: -6 per 1,000 inhabitantsTolna-6Békés: -6.1 per 1,000 inhabitantsBékés-6.1Szabolcs-Szatmár-Bereg: -6.6 per 1,000 inhabitantsSzabolcs-Szatmár-Bereg-6.6Pest: 12.9 per 1,000 inhabitantsPest12.9Győr-Moson-Sopron: 9 per 1,000 inhabitantsGyőr-Moson-Sopron9Fejér: 5.3 per 1,000 inhabitantsFejér5.3Komárom-Esztergom: 4.7 per 1,000 inhabitantsKomárom-Esztergom4.7Vas: 4.5 per 1,000 inhabitantsVas4.5Veszprém: 1.8 per 1,000 inhabitantsVeszprém1.8Csongrád-Csanád: 1.3 per 1,000 inhabitantsCsongrád-Csanád1.3Baranya: 0.4 per 1,000 inhabitantsBaranya0.4Heves: 0.4 per 1,000 inhabitantsHeves0.4Budapest: -0.1 per 1,000 inhabitantsBudapest-0.1Bács-Kiskun: -0.4 per 1,000 inhabitantsBács-Kiskun-0.4Jász-Nagykun-Szolnok: -1.7 per 1,000 inhabitantsJász-Nagykun-Szolnok-1.7Zala: -2.1 per 1,000 inhabitantsZala-2.1Hajdú-Bihar: -2.3 per 1,000 inhabitantsHajdú-Bihar-2.3Nógrád: -3.1 per 1,000 inhabitantsNógrád-3.1Somogy: -4.1 per 1,000 inhabitantsSomogy-4.1Borsod-Abaúj-Zemplén: -5.6 per 1,000 inhabitantsBorsod-Abaúj-Zemplén-5.6Tolna: -6 per 1,000 inhabitantsTolna-6Békés: -6.1 per 1,000 inhabitantsBékés-6.1Szabolcs-Szatmár-Bereg: -6.6 per 1,000 inhabitantsSzabolcs-Szatmár-Bereg-6.6
per 1,000 inhabitants. Source: Eurostat, Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Full ranking

RankAreas2017
per 1,000 inhabitants
Change on 2016
1Pest12.9+1.8 pts
2Győr-Moson-Sopron9+4.4 pts
3Fejér5.3+8 pts
4Komárom-Esztergom4.7+2.6 pts
5Vas4.5+3.5 pts
6Veszprém1.8+2.5 pts
7Csongrád-Csanád1.3+4.5 pts
8Baranya0.4+1.2 pts
8Heves0.4+3.4 pts
10Budapest-0.1+2.8 pts
11Bács-Kiskun-0.4+2.8 pts
12Jász-Nagykun-Szolnok-1.7+1.1 pts
13Zala-2.1+0.9 pts
14Hajdú-Bihar-2.3+2 pts
15Nógrád-3.1-0.8 pts
16Somogy-4.1-0.6 pts
17Borsod-Abaúj-Zemplén-5.6+0.3 pts
18Tolna-6-1.8 pts
19Békés-6.1+1.1 pts
20Szabolcs-Szatmár-Bereg-6.6-4.3 pts

Other periods

About this ranking

Net migration including statistical adjustment during the year per 1,000 average residents (Eurostat crude rate of net migration plus statistical adjustment).

Comparable across EU countries and regions. Eurostat derives the net figure as a residual of population change, so it includes census revisions and other statistical adjustments.

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, crude rate of 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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of Hungary by net migration rate 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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Hungary by net migration rate 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-rate/hungary-provinces?period=2017. Accessed 12 Oct. 2026.

Chicago (author-date)

Eurostat, European Commission. 2026. Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). NUTS 3 areas of Hungary by net migration rate 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-rate/hungary-provinces?period=2017.

Harvard

Eurostat, European Commission (2026) Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Hungary by net migration rate 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-rate/hungary-provinces?period=2017 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2017,
  author = {{Eurostat, European Commission}},
  title = {{Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): NUTS 3 areas of Hungary by net migration rate 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-rate/hungary-provinces?period=2017. Publisher attribution: Eurostat. Population change, crude rate of 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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3): NUTS 3 areas of Hungary by net migration rate 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-rate/hungary-provinces?period=2017
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/hungary-provinces?period=2017.
N1  - Publisher attribution: Eurostat. Population change, crude rate of 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.

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 Hungary by net migration rate including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment_rate","level":"province","within":"Hungary","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment_rate&level=province&within=Hungary&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 rate including statistical adjustment?

Pest, with 12.9 per 1,000 inhabitants in 2017, according to Eurostat, European Commission.

Which area has the lowest net migration rate including statistical adjustment?

Szabolcs-Szatmár-Bereg, with -6.6 per 1,000 inhabitants 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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Net migration rate including statistical adjustment: other rankings

NUTS 3 areas of Hungary: more rankings