Data / Rankings / Net migration rate including statistical adjustment / NUTS 3 areas of Czechia

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

Hlavní město Praha had the highest net migration rate including statistical adjustment of 14 areas in 2021, at 12.1 per 1,000 inhabitants. Moravskoslezský kraj had the lowest, at -0.1 per 1,000 inhabitants. The median was 2.6 per 1,000 inhabitants and the figure for Czechia was 4.8 per 1,000 inhabitants. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest12.1Hlavní město Praha
Lowest-0.1Moravskoslezský kraj
Median2.614 areas
Czechia4.8History

All areas, 2021

Hlavní město Praha: 12.1 per 1,000 inhabitantsHlavní město Praha12.1Středočeský kraj: 11.5 per 1,000 inhabitantsStředočeský kraj11.5Plzeňský kraj: 7.5 per 1,000 inhabitantsPlzeňský kraj7.5Jihomoravský kraj: 4.7 per 1,000 inhabitantsJihomoravský kraj4.7Jihočeský kraj: 3.6 per 1,000 inhabitantsJihočeský kraj3.6Liberecký kraj: 3.5 per 1,000 inhabitantsLiberecký kraj3.5Pardubický kraj: 3.3 per 1,000 inhabitantsPardubický kraj3.3Kraj Vysočina: 1.8 per 1,000 inhabitantsKraj Vysočina1.8Ústecký kraj: 1.5 per 1,000 inhabitantsÚstecký kraj1.5Zlínský kraj: 1.1 per 1,000 inhabitantsZlínský kraj1.1Královéhradecký kraj: 0.9 per 1,000 inhabitantsKrálovéhradecký kraj0.9Karlovarský kraj: 0.6 per 1,000 inhabitantsKarlovarský kraj0.6Olomoucký kraj: 0.3 per 1,000 inhabitantsOlomoucký kraj0.3Moravskoslezský kraj: -0.1 per 1,000 inhabitantsMoravskoslezský kraj-0.1Hlavní město Praha: 12.1 per 1,000 inhabitantsHlavní město Praha12.1Středočeský kraj: 11.5 per 1,000 inhabitantsStředočeský kraj11.5Plzeňský kraj: 7.5 per 1,000 inhabitantsPlzeňský kraj7.5Jihomoravský kraj: 4.7 per 1,000 inhabitantsJihomoravský kraj4.7Jihočeský kraj: 3.6 per 1,000 inhabitantsJihočeský kraj3.6Liberecký kraj: 3.5 per 1,000 inhabitantsLiberecký kraj3.5Pardubický kraj: 3.3 per 1,000 inhabitantsPardubický kraj3.3Kraj Vysočina: 1.8 per 1,000 inhabitantsKraj Vysočina1.8Ústecký kraj: 1.5 per 1,000 inhabitantsÚstecký kraj1.5Zlínský kraj: 1.1 per 1,000 inhabitantsZlínský kraj1.1Královéhradecký kraj: 0.9 per 1,000 inhabitantsKrálovéhradecký kraj0.9Karlovarský kraj: 0.6 per 1,000 inhabitantsKarlovarský kraj0.6Olomoucký kraj: 0.3 per 1,000 inhabitantsOlomoucký kraj0.3Moravskoslezský kraj: -0.1 per 1,000 inhabitantsMoravskoslezský kraj-0.1
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

RankAreas2021
per 1,000 inhabitants		Change on 2020
1Hlavní město Praha Series break12.1+4.8 pts
2Středočeský kraj Series break11.5+1.6 pts
3Plzeňský kraj Series break7.5+3.6 pts
4Jihomoravský kraj Series break4.7+0.9 pts
5Jihočeský kraj Series break3.6+2.5 pts
6Liberecký kraj Series break3.5+4.7 pts
7Pardubický kraj Series break3.3+1.2 pts
8Kraj Vysočina Series break1.8+1.5 pts
9Ústecký kraj Series break1.5+2.9 pts
10Zlínský kraj Series break1.1+1.9 pts
11Královéhradecký kraj Series break0.9+0.3 pts
12Karlovarský kraj Series break0.6+0.6 pts
13Olomoucký kraj Series break0.3+0.2 pts
14Moravskoslezský kraj Series break-0.1+2.9 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 Czechia by net migration rate including statistical adjustment, 2021) [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 Czechia by net migration rate including statistical adjustment, 2021. 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/czechia-provinces?period=2021. 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 Czechia by net migration rate including statistical adjustment, 2021. 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/czechia-provinces?period=2021.

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 Czechia by net migration rate including statistical adjustment, 2021 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/net-migration-rate/czechia-provinces?period=2021 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2021,
  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 Czechia by net migration rate including statistical adjustment, 2021}},
  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/czechia-provinces?period=2021. 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 Czechia by net migration rate including statistical adjustment, 2021
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/czechia-provinces?period=2021
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/czechia-provinces?period=2021.
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 Czechia 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":"Czechia","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment_rate&level=province&within=Czechia&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?

Hlavní město Praha, with 12.1 per 1,000 inhabitants in 2021, according to Eurostat, European Commission.

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

Moravskoslezský kraj, with -0.1 per 1,000 inhabitants in 2021.

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 Czechia: more rankings