NUTS 3 areas of Austria by net migration including statistical adjustment
Wien had the highest net migration including statistical adjustment of 35 areas in 2014, at 27,345. Oststeiermark had the lowest, at -1,480. The median was 807 and the figure for Austria was 73,670. Source: Eurostat, European Commission.
All areas, 2014
Full ranking
| Rank | Areas | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Wien | 27,345 | +18.2% |
| 2 | Linz-Wels | 6,113 | +41.4% |
| 3 | Graz | 5,214 | +2.1% |
| 4 | Innsbruck | 4,227 | +23% |
| 5 | Wiener Umland/Südteil | 4,130 | +41.2% |
| 6 | Wiener Umland/Nordteil | 3,475 | +6.5% |
| 7 | West- und Südsteiermark | 3,179 | +721.4% |
| 8 | Salzburg und Umgebung | 2,796 | +74.8% |
| 9 | Klagenfurt-Villach | 2,554 | +25.1% |
| 10 | Niederösterreich-Süd | 2,138 | +67.3% |
| 11 | Innviertel | 2,002 | +197.5% |
| 12 | Rheintal-Bodenseegebiet | 1,644 | -1.1% |
| 13 | Nordburgenland | 1,459 | +4.3% |
| 14 | Sankt Pölten | 1,242 | +52% |
| 15 | Traunviertel | 1,216 | +53.5% |
| 16 | Tiroler Unterland | 1,072 | -31.8% |
| 17 | Weinviertel | 845 | +61% |
| 18 | Liezen | 807 | +2,273.5% |
| 19 | Mostviertel-Eisenwurzen | 780 | +141.5% |
| 20 | Steyr-Kirchdorf | 675 | +172.2% |
| 21 | Waldviertel | 624 | +137.3% |
| 22 | Bludenz-Bregenzer Wald | 391 | +475% |
| 23 | Pinzgau-Pongau | 388 | +126.9% |
| 24 | Unterkärnten | 291 | +300.7% |
| 25 | Mittelburgenland | 258 | +31% |
| 26 | Südburgenland | 231 | -2.9% |
| 27 | Tiroler Oberland | 97 | +158.8% |
| 28 | Außerfern | 51 | -8.9% |
| 29 | Östliche Obersteiermark | 48 | -74.2% |
| 30 | Mühlviertel | 7 | -97.4% |
| 30 | Westliche Obersteiermark | 7 | +102.8% |
| 32 | Lungau | -8 | +95.3% |
| 33 | Oberkärnten | -47 | +85.8% |
| 34 | Osttirol | -101 | -46.4% |
| 35 | Oststeiermark | -1,480 | -673.6% |
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 Austria by net migration including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment","level":"province","within":"Austria","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment&level=province&within=Austria&limit=10Questions
Which area has the highest net migration including statistical adjustment?
Wien, with 27,345 in 2014, according to Eurostat, European Commission.
Which area has the lowest net migration including statistical adjustment?
Oststeiermark, with -1,480 in 2014.
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 Portugal
- NUTS 3 areas of Belgium
- Regions of France (NUTS 2)
- Regions of Denmark (NUTS 2)
- Regions of Czechia (NUTS 2)