Germany vs Romania: Demographic indicators by urban-rural typology — Deaths

Germany
12.52 Per 1 000 inhabitants
in 2024
Romania
12.81 Per 1 000 inhabitants
in 2024
Germany rank
8th
Romania rank
7th

Demographic indicators by urban-rural typology — Deaths over time

  • Germany
  • Romania
051015199520092024

How they compare

Romania currently reports 12.81 Per 1 000 inhabitants against 12.52 Per 1 000 inhabitants in Germany, a difference of 0.29 Per 1 000 inhabitants.

Across all 13 years both countries report, Romania has been ahead every year.

Germany ranks 8th and Romania ranks 7th of 38 countries.

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

Head to head by decade

Decade Germany Romania Difference Ahead
2010s 11.39 Per 1 000 inhabitants 12.78 Per 1 000 inhabitants 1.39 Per 1 000 inhabitants Romania
2020s 12.7 Per 1 000 inhabitants 14.49 Per 1 000 inhabitants 1.79 Per 1 000 inhabitants Romania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher demographic indicators by urban-rural typology — deaths, Germany or Romania?
Romania, at 12.81 Per 1 000 inhabitants against 12.52 Per 1 000 inhabitants in Germany as of 2024.
What is the difference in demographic indicators by urban-rural typology — deaths between Germany and Romania?
0.29 Per 1 000 inhabitants, with Romania ahead.
How many years of comparable data are there for Germany and Romania?
13 years are reported by both, from 2012 to 2024.
How do Germany and Romania rank globally for demographic indicators by urban-rural typology — deaths?
Germany ranks 8th and Romania ranks 7th 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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Germany vs Romania: Demographic indicators by urban-rural typology — Deaths. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 August 2026, from https://population.statizoid.com/compare/demographic-indicators-by-urban-rural-typology-deaths/germany/romania/

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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.