NUTS 3 areas of Romania by net migration including statistical adjustment
Ilfov had the highest net migration including statistical adjustment of 42 areas in 2018, at 11,055. Vaslui had the lowest, at -4,589. The median was -1,810 and the figure for Romania was -57,856. Source: Eurostat, European Commission.
All areas, 2018
Full ranking
| Rank | Areas | 2018 | Change on 2017 |
|---|---|---|---|
| 1 | Ilfov | 11,055 | -7.3% |
| 2 | Timiş | 3,564 | +2.3% |
| 3 | Cluj | 3,229 | +28.3% |
| 4 | Bucureşti | 1,375 | -20.8% |
| 5 | Sibiu | 1,222 | +1,372.3% |
| 6 | Braşov | 1,052 | +984.5% |
| 7 | Iaşi | 816 | +518.2% |
| 8 | Arad | -57 | +92.6% |
| 9 | Covasna | -752 | +28.7% |
| 10 | Giurgiu | -959 | +66.7% |
| 11 | Constanţa | -1,070 | +24% |
| 12 | Satu Mare | -1,117 | +16.8% |
| 13 | Bistriţa-Năsăud | -1,268 | -4.3% |
| 14 | Harghita | -1,337 | -23.9% |
| 15 | Bihor | -1,344 | -38.1% |
| 16 | Sălaj | -1,372 | +12.8% |
| 17 | Alba | -1,513 | +1.3% |
| 18 | Mureş | -1,721 | -7.4% |
| 19 | Tulcea | -1,785 | +0.3% |
| 20 | Maramureş | -1,791 | -21% |
| 21 | Ialomiţa | -1,798 | +11.7% |
| 22 | Mehedinţi | -1,822 | +25% |
| 23 | Caraş-Severin | -1,959 | +9.7% |
| 24 | Călăraşi | -2,008 | +35.9% |
| 25 | Vrancea | -2,087 | +3.7% |
| 26 | Dolj | -2,101 | -43% |
| 27 | Brăila | -2,224 | +18.1% |
| 28 | Vâlcea | -2,587 | +2.6% |
| 29 | Hunedoara | -2,637 | -8.1% |
| 30 | Dâmboviţa | -2,768 | +5.9% |
| 31 | Buzău | -2,816 | +7.1% |
| 32 | Neamţ | -2,851 | -23.5% |
| 33 | Gorj | -2,852 | -26.5% |
| 34 | Bacău | -3,240 | -21% |
| 35 | Suceava | -3,266 | -110% |
| 36 | Olt | -3,369 | +14.5% |
| 37 | Botoşani | -3,515 | -10.6% |
| 38 | Argeş | -3,641 | -34.5% |
| 39 | Teleorman | -3,666 | +20% |
| 40 | Prahova | -3,754 | -5.6% |
| 41 | Galaţi | -4,533 | -66.5% |
| 42 | Vaslui | -4,589 | -37% |
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 Romania by net migration including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment","level":"province","within":"Romania","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment&level=province&within=Romania&limit=10Questions
Which area has the highest net migration including statistical adjustment?
Ilfov, with 11,055 in 2018, according to Eurostat, European Commission.
Which area has the lowest net migration including statistical adjustment?
Vaslui, with -4,589 in 2018.
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 Slovakia
- NUTS 3 areas of Croatia
- NUTS 3 areas of Estonia
- Regions of Portugal (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Austria (NUTS 2)