In 2023, the child and old-age dependency ratio in Taiwan ranged at around ***** and ***** percent respectively, summing up to a total dependency ratio of ***** percent. While the child dependency ratio is expected to remain stable, the old-age dependency ratio will rise steadily in coming decades.

In 2021, the projected old age dependency rate was around 15.7 percent. And it was expected to reach 20.1 percent in 2031. The old age dependency ratio in India is seeing a gradual rise since the past few years. Projections reflect a steep rise in old age dependency from 2021 to 2031.

China Elderly Dependency Ratio data was reported at 21.800 % in 2022. This records an increase from the previous number of 20.800 % for 2021. China Elderly Dependency Ratio data is updated yearly, averaging 10.700 % from Dec 1982 (Median) to 2022, with 35 observations. The data reached an all-time high of 21.800 % in 2022 and a record low of 8.000 % in 1982. China Elderly Dependency Ratio data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: Elderly Dependency Ratio: By Region.

Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for Chad (SPPOPDPNDOLTCD) from 1960 to 2024 about Chad, 64 years +, working-age, ratio, and population.

Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for the United States (SPPOPDPNDOLUSA) from 1960 to 2024 about 64 years +, working-age, ratio, population, and USA.

Elderly Dependency Ratio(Sample Survey): Shanghai data was reported at 23.990 % in 2021. This records an increase from the previous number of 22.020 % for 2020. Elderly Dependency Ratio(Sample Survey): Shanghai data is updated yearly, averaging 17.850 % from Dec 2002 (Median) to 2021, with 20 observations. The data reached an all-time high of 23.990 % in 2021 and a record low of 9.400 % in 2011. Elderly Dependency Ratio(Sample Survey): Shanghai data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: Elderly Dependency Ratio: By Region.

France - Old-age-dependency ratio was 34.80% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Old-age-dependency ratio - last updated from the EUROSTAT on August of 2025. Historically, France - Old-age-dependency ratio reached a record high of 34.80% in December of 2024 and a record low of 25.60% in December of 2010.

Finland - Old-age-dependency ratio was 37.80% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Old-age-dependency ratio - last updated from the EUROSTAT on August of 2025. Historically, Finland - Old-age-dependency ratio reached a record high of 37.80% in December of 2024 and a record low of 25.60% in December of 2010.

Hungary - Old-age-dependency ratio was 31.90% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Hungary - Old-age-dependency ratio - last updated from the EUROSTAT on August of 2025. Historically, Hungary - Old-age-dependency ratio reached a record high of 31.90% in December of 2024 and a record low of 24.20% in December of 2010.

Hong Kong SAR (China) Elderly Dependency Ratio: Per Aged 15-64 data was reported at 340.000 Per 1000 Person in 2024. This records an increase from the previous number of 321.000 Per 1000 Person for 2023. Hong Kong SAR (China) Elderly Dependency Ratio: Per Aged 15-64 data is updated yearly, averaging 130.500 Per 1000 Person from Dec 1961 (Median) to 2024, with 64 observations. The data reached an all-time high of 340.000 Per 1000 Person in 2024 and a record low of 56.000 Per 1000 Person in 1961. Hong Kong SAR (China) Elderly Dependency Ratio: Per Aged 15-64 data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G014: Vital Statistics: Dependency Ratio.

The old-age dependency index in Italy peaked in 2025, with ** elderly people to every 100 individuals in working age. This indicator refers to the ratio between the number of elderly aged 65 years and older, age when they are generally economically inactive, and the working-age population between 15 and 64 years, percent.

Elderly Dependency Ratio(Sample Survey): Guangdong data was reported at 13.830 % in 2023. This records an increase from the previous number of 13.340 % for 2022. Elderly Dependency Ratio(Sample Survey): Guangdong data is updated yearly, averaging 10.350 % from Dec 2002 (Median) to 2023, with 22 observations. The data reached an all-time high of 13.830 % in 2023 and a record low of 8.600 % in 2011. Elderly Dependency Ratio(Sample Survey): Guangdong data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: Elderly Dependency Ratio: By Region.

Elderly Dependency Ratio(Sample Survey): Yunnan data was reported at 17.140 % in 2023. This records an increase from the previous number of 16.770 % for 2022. Elderly Dependency Ratio(Sample Survey): Yunnan data is updated yearly, averaging 11.450 % from Dec 2002 (Median) to 2023, with 22 observations. The data reached an all-time high of 17.140 % in 2023 and a record low of 10.300 % in 2003. Elderly Dependency Ratio(Sample Survey): Yunnan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: Elderly Dependency Ratio: By Region.

Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for Japan (SPPOPDPNDOLJPN) from 1960 to 2024 about 64 years +, working-age, ratio, Japan, and population.

Poland - Old-age-dependency ratio was 31.80% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Poland - Old-age-dependency ratio - last updated from the EUROSTAT on August of 2025. Historically, Poland - Old-age-dependency ratio reached a record high of 31.80% in December of 2024 and a record low of 19.10% in December of 2011.

The dataset contains the old age dependency ratio which is computed from the people aged 65 and over and people aged 15 to 64 from data source OECD. It is given in the percentage.

About this dataset

Context

The dataset tabulates the data for the Forest Park, IL population pyramid, which represents the Forest Park population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Forest Park, IL, is 22.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Forest Park, IL, is 26.0.
• Total dependency ratio for Forest Park, IL is 48.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Forest Park, IL is 3.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Forest Park population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Forest Park for the selected age group is shown in the following column.
• Population (Female): The female population in the Forest Park for the selected age group is shown in the following column.
• Total Population: The total population of the Forest Park for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Forest Park Population by Age. You can refer the same here

Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for Thailand (SPPOPDPNDOLTHA) from 1960 to 2024 about 64 years +, Thailand, working-age, ratio, and population.

About this dataset

Context

The dataset tabulates the data for the Greenbrier, AR population pyramid, which represents the Greenbrier population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Greenbrier, AR, is 48.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Greenbrier, AR, is 28.0.
• Total dependency ratio for Greenbrier, AR is 76.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Greenbrier, AR is 3.6.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Greenbrier population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Greenbrier for the selected age group is shown in the following column.
• Population (Female): The female population in the Greenbrier for the selected age group is shown in the following column.
• Total Population: The total population of the Greenbrier for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Greenbrier Population by Age. You can refer the same here

This dataset contains the state and gender-wise number of persons aged 60+ per 100 persons in the age group 15-59, also known as old-age dependency ratio.Only major states have been considered. Note: Data for 2021 and 2031 is Projections