NUTS 3 areas of Lithuania by net migration including statistical adjustment

Vilniaus apskritis had the highest net migration including statistical adjustment of 10 areas in 2019, at 7,493. Tauragės apskritis had the lowest, at -1,095. The median was -206 and the figure for Lithuania was 11,085. Source: Eurostat, European Commission.

Highest7,493Vilniaus apskritis

Lowest-1,095Tauragės apskritis

Median-20610 areas

Lithuania11,085History

All areas, 2019

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	2019 persons	Change on 2018
1	Vilniaus apskritis	7,493	+107.7%
2	Kauno apskritis	3,984	+154.1%
3	Klaipėdos apskritis	3,104	+197.9%
4	Šiaulių apskritis	64	+105.6%
5	Alytaus apskritis	-142	+73.1%
6	Utenos apskritis	-270	+66.2%
7	Marijampolės apskritis	-617	+49%
8	Panevėžio apskritis	-680	+47.1%
9	Telšių apskritis	-756	+41.9%
10	Tauragės apskritis	-1,095	+5.8%

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 Lithuania by net migration including statistical adjustment, 2019) [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 Lithuania by net migration including statistical adjustment, 2019. 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/lithuania-provinces?period=2019. 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 Lithuania by net migration including statistical adjustment, 2019. 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/lithuania-provinces?period=2019.

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 Lithuania by net migration including statistical adjustment, 2019 [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/lithuania-provinces?period=2019 (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_nuts_3_areas_of_2019,
  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 Lithuania by net migration including statistical adjustment, 2019}},
  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/lithuania-provinces?period=2019. 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 Lithuania by net migration including statistical adjustment, 2019
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/lithuania-provinces?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/lithuania-provinces?period=2019.
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  -

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Questions

Which area has the highest net migration including statistical adjustment?

Vilniaus apskritis, with 7,493 in 2019, according to Eurostat, European Commission.

Which area has the lowest net migration including statistical adjustment?

Tauragės apskritis, with -1,095 in 2019.

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.