NUTS 3 areas of Portugal by net migration including statistical adjustment
Grande Lisboa had the highest net migration including statistical adjustment of 26 areas in 2022, at 216,799. Douro had the lowest, at -612. The median was 6,703 and the figure for Portugal was 371,277. Source: Eurostat, European Commission.
All areas, 2022
Full ranking
| Rank | Areas | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Grande Lisboa Series break | 216,799 | +36,521.5% |
| 2 | Algarve Series break | 74,609 | +3,939.5% |
| 3 | Península de Setúbal Series break | 53,364 | +983.8% |
| 4 | Área Metropolitana do Porto Series break | 51,227 | +198.6% |
| 5 | Oeste Series break | 17,503 | +98.2% |
| 6 | Região de Coimbra Series break | 15,668 | +269.9% |
| 7 | Região de Leiria Series break | 15,393 | +362.4% |
| 8 | Alentejo Litoral Series break | 14,251 | +621.9% |
| 9 | Região de Aveiro Series break | 12,232 | +115.2% |
| 10 | Cávado Series break | 11,322 | +436.8% |
| 11 | Lezíria do Tejo Series break | 9,842 | +81.2% |
| 12 | Ave Series break | 9,076 | +3,037.2% |
| 13 | Baixo Alentejo Series break | 6,729 | +475.6% |
| 14 | Alto Minho Series break | 6,676 | +440.1% |
| 15 | Alentejo Central Series break | 5,992 | +299.2% |
| 16 | Médio Tejo Series break | 5,383 | +77% |
| 17 | Região Autónoma da Madeira Series break | 5,137 | +167% |
| 18 | Viseu Dão Lafões Series break | 4,785 | +138.2% |
| 19 | Região Autónoma dos Açores Series break | 3,828 | +155% |
| 20 | Alto Alentejo Series break | 3,405 | +363.3% |
| 21 | Beira Baixa Series break | 2,573 | +101.5% |
| 22 | Terras de Trás-os-Montes Series break | 1,947 | +316% |
| 23 | Beiras e Serra da Estrela Series break | 1,945 | +58.5% |
| 24 | Tâmega e Sousa Series break | 616 | +184.2% |
| 25 | Alto Tâmega e Barroso Series break | -413 | -364.7% |
| 26 | Douro Series break | -612 | -180.4% |
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.
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 Portugal by net migration including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment","level":"province","within":"Portugal","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment&level=province&within=Portugal&limit=10
Questions
Which area has the highest net migration including statistical adjustment?
Grande Lisboa, with 216,799 in 2022, according to Eurostat, European Commission.
Which area has the lowest net migration including statistical adjustment?
Douro, with -612 in 2022.
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.
Net migration including statistical adjustment: other rankings
- NUTS 3 areas of Ireland
- NUTS 3 areas of Latvia
- NUTS 3 areas of Slovenia
- Regions of Finland (NUTS 2)
- Regions of Bulgaria (NUTS 2)
- Regions of Netherlands (NUTS 2)