Croatia vs Lithuania: Deaths by 5-year age groups - Regions
Deaths by 5-year age groups - Regions over time
- Croatia
- Lithuania
How they compare
Croatia currently reports 13.23 Per 1 000 inhabitants against 12.98 Per 1 000 inhabitants in Lithuania, a difference of 0.25 Per 1 000 inhabitants.
The two have swapped places 6 times across 35 shared years of data; in 1990 it was Croatia ahead.
Croatia ranks 5th and Lithuania ranks 6th of 47 countries.
Lithuania has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Croatia | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 11.19 Per 1 000 inhabitants | 11.67 Per 1 000 inhabitants | 0.4839 Per 1 000 inhabitants | Lithuania |
| 2000s | 11.83 Per 1 000 inhabitants | 12.62 Per 1 000 inhabitants | 0.7913 Per 1 000 inhabitants | Lithuania |
| 2010s | 12.47 Per 1 000 inhabitants | 13.82 Per 1 000 inhabitants | 1.35 Per 1 000 inhabitants | Lithuania |
| 2020s | 14.38 Per 1 000 inhabitants | 14.74 Per 1 000 inhabitants | 0.3592 Per 1 000 inhabitants | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher deaths by 5-year age groups - regions, Croatia or Lithuania?
- Croatia, at 13.23 Per 1 000 inhabitants against 12.98 Per 1 000 inhabitants in Lithuania as of 2024.
- What is the difference in deaths by 5-year age groups - regions between Croatia and Lithuania?
- 0.25 Per 1 000 inhabitants, with Croatia ahead.
- How many years of comparable data are there for Croatia and Lithuania?
- 35 years are reported by both, from 1990 to 2024.
- How do Croatia and Lithuania rank globally for deaths by 5-year age groups - regions?
- Croatia ranks 5th and Lithuania ranks 6th of 47 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Deaths by 5-year age groups - 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 deaths and mortality rates, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Deaths by 5-year age group</strong> are reported according to the last place of residence of the deceased person.</li> <li><strong>Crude death rate</strong> is the number of deaths per 1 000 population.</li> <li><strong>Age-adjusted mortality rates</strong> eliminate the difference in mortality rates due to a population’s age profile and are comparable across countries and regions. Age-adjusted mortality rates are calculd by applying the age-specific death rates of one region to the age distribution of a standard population. Here, the standard population is represented by the OECD area population in 2010, and the adjusted mortality rate is based on deaths in five-year age groups.</li> </ul> <p>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>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>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>