Demographic indicators by access to city typology β Deaths in Korea
Korea: Demographic indicators by access to city typology β Deaths was 6.62 Per 1 000 inhabitants in 2024. β² Rising
Demographic indicators by access to city typology β Deaths in Korea, 1990β2024
Source: Organisation for Economic Co-operation and Development. Measured in Per 1 000 inhabitants.
Analysis
Korea recorded 6.62 Per 1 000 inhabitants for demographic indicators by access to city typology β deaths in 2024.
Compared with earlier readings it is up 1.8% on the previous year and up 32.7% over ten years.
Over the whole period, demographic indicators by access to city typology β deaths in Korea peaked at 6.89 Per 1 000 inhabitants in 2022 and was at its lowest, 4.71 Per 1 000 inhabitants, in 2008.
The long-run direction has been consistently rising across the 35 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 4.95 Per 1 000 inhabitants | 4.87 Per 1 000 inhabitants | 5.13 Per 1 000 inhabitants | 10 |
| 2000s | 4.78 Per 1 000 inhabitants | 4.71 Per 1 000 inhabitants | 4.92 Per 1 000 inhabitants | 10 |
| 2010s | 5.13 Per 1 000 inhabitants | 4.86 Per 1 000 inhabitants | 5.52 Per 1 000 inhabitants | 10 |
| 2020s | 6.3 Per 1 000 inhabitants | 5.61 Per 1 000 inhabitants | 6.89 Per 1 000 inhabitants | 5 |
Countries ranked near Korea
More population data for Korea
- Africa's Development Dynamics (AfDD) Table 03 - Annual population -0.199 Percent per annum (2030)
- Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates 45,771 Persons (2050)
- Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates -0.1991 % change on previous year (2030)
- Population projections 37.18 million Persons (2070)
- Historical population data 51.68 million Persons (2025)
- Population density - Regions 51.22 million Persons (2024)
- Population by 5-year age groups - Regions 51.22 million Persons (2024)
- Population by broad age groups - Regions 51.22 million Persons (2024)
- Demographic indicators by urban-rural typology β Deaths 8.65 Per 1 000 inhabitants (2024)
- Body weight β Share of population who are obese 8 Percentage of population (2024)
Frequently asked questions
- What is demographic indicators by access to city typology β deaths in Korea?
- Demographic indicators by access to city typology β deaths in Korea was 6.62 Per 1 000 inhabitants in 2024, according to Organisation for Economic Co-operation and Development.
- What is the highest demographic indicators by access to city typology β deaths recorded in Korea?
- The highest recorded value was 6.89 Per 1 000 inhabitants in 2022.
- What is the lowest demographic indicators by access to city typology β deaths recorded in Korea?
- The lowest recorded value was 4.71 Per 1 000 inhabitants in 2008.
- How does Korea rank for demographic indicators by access to city typology β deaths?
- Korea ranks 2nd out of 2 groups with data for 2024.
- Is demographic indicators by access to city typology β deaths rising or falling in Korea?
- Over the last ten years it is up 32.7%. The long-run trend across the full record is rising.
- Where does this Korea data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Demographic indicators by access to city typology β Deaths. Statizoid updates them automatically from the source API.
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About this data
This data set provides indicators on demography by territorial typology according to the population's access to cities. 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 at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions. Territorial typology on population's access to cities 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. The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) β composed of urban centres and their commuting areas β and classifies small (TL3) regions (Fadic et al., 2019) according to the following criteria: Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: metropolitan large, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and metropolitan midsize, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants. Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: near a midsize/large FUA if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; near a small FUA if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and remote, otherwise. 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 The report OECD Regions and Cities at a Glance Contact: RegionStat@oecd.org