Lithuania vs Serbia: Demographic indicators by urban-rural typology — Deaths

Lithuania
13.79 Per 1 000 inhabitants
in 2024
Serbia
15.32 Per 1 000 inhabitants
in 2024
Lithuania rank
4th
Serbia rank
2nd

Demographic indicators by urban-rural typology — Deaths over time

  • Lithuania
  • Serbia
05101520199020072024

How they compare

Serbia currently reports 15.32 Per 1 000 inhabitants against 13.79 Per 1 000 inhabitants in Lithuania, a difference of 1.53 Per 1 000 inhabitants.

That makes Serbia's figure about 1.1 times Lithuania's.

Across all 8 years both countries report, Serbia has been ahead every year.

Lithuania ranks 4th and Serbia ranks 2nd of 38 countries.

Serbia has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Lithuania Serbia Difference Ahead
2010s 14.57 Per 1 000 inhabitants 14.83 Per 1 000 inhabitants 0.263 Per 1 000 inhabitants Serbia
2020s 15.57 Per 1 000 inhabitants 16.72 Per 1 000 inhabitants 1.15 Per 1 000 inhabitants Serbia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher demographic indicators by urban-rural typology — deaths, Lithuania or Serbia?
Serbia, at 15.32 Per 1 000 inhabitants against 13.79 Per 1 000 inhabitants in Lithuania as of 2024.
What is the difference in demographic indicators by urban-rural typology — deaths between Lithuania and Serbia?
1.53 Per 1 000 inhabitants, with Serbia ahead.
How many years of comparable data are there for Lithuania and Serbia?
8 years are reported by both, from 2017 to 2024.
How do Lithuania and Serbia rank globally for demographic indicators by urban-rural typology — deaths?
Lithuania ranks 4th and Serbia ranks 2nd of 38 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Demographic indicators by urban-rural typology — Deaths. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Lithuania vs Serbia: Demographic indicators by urban-rural typology — Deaths. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 27 August 2026, from https://population.statizoid.com/compare/demographic-indicators-by-urban-rural-typology-deaths/lithuania/serbia/

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About this data

Indicator
Demographic indicators by urban-rural typology — Deaths
Unit
Per 1 000 inhabitants
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
41 places, 991 data points, 1990–2025
Last refreshed

This dataset provides indicators on demogrpahy by regional urban-rural typology. Data source and definition The data by typology includes share of population, dependency rates, fertility and mortality rates, population mobility within and outside countries. 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. The indicators are aggregated data within a country based on the typology of small (TL3) regions to calculate a total or average for all predominantly rural regions, intermediate regions or predominantly urban regions. Territorial typology based on urban-rural population Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region. Traditionally the OECD has classified small (TL3) regions as predominantly urban, intermediate, or predominantly rural regions. Predominantly rural regions can be further broken down as 'Close to city' and 'Remote', see the methodology (pdf). This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts. List of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of For more information, see the OECD Territorial grid (pdf). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats Further information OECD Regions and Cities Statistical Atlas OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.