Denmark vs Lithuania: International migration flows - Regions — Net international migration
International migration flows - Regions — Net international migration over time
- Denmark
- Lithuania
How they compare
Lithuania currently reports 44,934 Persons against 31,691 Persons in Denmark, a difference of 13,243 Persons.
That makes Lithuania's figure about 1.4 times Denmark's.
The two have swapped places 3 times across 17 shared years of data; in 2007 it was Denmark ahead.
Denmark ranks 12th and Lithuania ranks 9th of 19 countries.
Across the 3 decades both report, Denmark averaged higher in 2 and Lithuania in 1.
Head to head by decade
| Decade | Denmark | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 21,369 Persons | -23,413 Persons | 44,782 Persons | Denmark |
| 2010s | 22,864 Persons | -21,363 Persons | 44,227 Persons | Denmark |
| 2020s | 31,456 Persons | 39,365 Persons | 7,909 Persons | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher international migration flows - regions — net international migration, Denmark or Lithuania?
- Lithuania, at 44,934 Persons against 31,691 Persons in Denmark as of 2023.
- What is the difference in international migration flows - regions — net international migration between Denmark and Lithuania?
- 13,243 Persons, with Lithuania ahead.
- How many years of comparable data are there for Denmark and Lithuania?
- 17 years are reported by both, from 2007 to 2023.
- How do Denmark and Lithuania rank globally for international migration flows - regions — net international migration?
- Denmark ranks 12th and Lithuania ranks 9th of 19 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as International migration flows - Regions — Net international migration (inflows minus outflows). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
<p style="text-align: justify;">This dataset provides indicators on annual international population migration flows to and from sub-national regions, in large regions (TL2) and small regions (TL3).</p> <p style="text-align: justify;"><strong>Data source</strong></p> <p style="text-align: justify;">Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. </p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0">(link)</a>. </p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a> </li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p>