Croatia vs New Zealand: Population density - Regions
Population density - Regions over time
- Croatia
- New Zealand
How they compare
New Zealand currently reports 5.29 million Persons against 3.87 million Persons in Croatia, a difference of 1.41 million Persons.
That makes New Zealand's figure about 1.4 times Croatia's.
The two have swapped places 1 time across 29 shared years of data; in 1996 it was Croatia ahead.
Croatia ranks 41st and New Zealand ranks 40th of 51 countries.
Across the 4 decades both report, Croatia averaged higher in 2 and New Zealand in 2.
Head to head by decade
| Decade | Croatia | New Zealand | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 4.54 million Persons | 3.79 million Persons | 753,768 Persons | Croatia |
| 2000s | 4.33 million Persons | 4.09 million Persons | 236,229 Persons | Croatia |
| 2010s | 4.17 million Persons | 4.60 million Persons | 434,035 Persons | New Zealand |
| 2020s | 3.88 million Persons | 5.15 million Persons | 1.26 million Persons | New Zealand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher population density - regions, Croatia or New Zealand?
- New Zealand, at 5.29 million Persons against 3.87 million Persons in Croatia as of 2024.
- What is the difference in population density - regions between Croatia and New Zealand?
- 1.41 million Persons, with New Zealand ahead.
- How many years of comparable data are there for Croatia and New Zealand?
- 29 years are reported by both, from 1996 to 2024.
- How do Croatia and New Zealand rank globally for population density - regions?
- Croatia ranks 41st and New Zealand ranks 40th of 51 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Population density - Regions. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
<p>This dataset provides indicators on population density and land areas, in large (TL2) regions and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Population density per land area excludes inland water bodies. This indicator measures the number of people residing in small TL3 and large TL2 regions per square kilometers. Data is collected from Eurostat (reg_dem) for EU countries and 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>