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The average for 2023 based on 196 countries was 58.49 percent. The highest value was in Niger: 104.73 percent and the lowest value was in the United Arab Emirates: 20.6 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.
Japan had the highest age dependency ratio among G20 countries in 2023. That year, the population either aged 0-14 years or 65 years and older comprised a share of more than ** percent of the population of those aged 15 to 64. Japan is struggling with an ageing population and one of the lowest fertility rates worldwide. On the other hand, the age dependency ratio in Saudi Arabia was below ** percent, the lowest of the G20. The age dependency ratio is the population of those aged 0-14 and 65 and above as a share of the working age population aged 15-64.
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Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for High Income Countries (SPPOPDPNDOLHIC) from 1960 to 2024 about working-age, ratio, income, and population.
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United States US: Age Dependency Ratio: % of Working-Age Population data was reported at 52.268 % in 2017. This records an increase from the previous number of 51.652 % for 2016. United States US: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 52.247 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 66.700 % in 1962 and a record low of 49.442 % in 2009. United States US: Age Dependency Ratio: % of Working-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.
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Chad TD: Age Dependency Ratio: % of Working-Age Population data was reported at 95.358 % in 2023. This records a decrease from the previous number of 97.860 % for 2022. Chad TD: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 101.627 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 107.647 % in 2002 and a record low of 81.736 % in 1960. Chad TD: Age Dependency Ratio: % of Working-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.;World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.
In 2022, Italy had the highest old-age dependency ratio, with a rate of 37.5 people aged over 65 to 100 people of working age. Finland followed second with an old-age dependency ratio of 37.4, while Azerbaijan had the lowest old-age dependency ratio of 11.3 percent.
The dependency ratio is a measure of the proportion of a country's population who are either below the age of being able to take up full-time employment or past the retirement age. A higher dependency ratio generally means that a country must fund a higher amount of public services used by dependents from a smaller tax base of full-time earners. On the other hand, having a high young person dependency ratio is markedly different from countries with an older population, as the money invested in younger people today will result in more full-time earners in the future. Countries with a very high old-age dependency ratios may struggle to fund their pension systems, as there are many people withdrawing with fewer people paying into the system. Except for Serbia, all EU candidate countries had smaller dependency ratios than the European Union average. In particular, Turkey has a much lower total dependency ratio than the EU, with 2.17 working age individuals per every dependent person, compared to 1.75 working age people in the EU. Considering the old-age dependency ratio, the difference expands further. In 2024, there were 6.6 citizens in working age for every person aged 65 and older, while the EU had around three workers for every European aged 65 and older. The EU's high old-age dependency ratio is often considered a key economic weakness of the bloc, as countries such as Italy and Germany have elderly and declining populations, leading them to have skills shortages. The youthful age profile of these candidate countries could therefore benefit the European Union, as it would provide it with a larger pool of young workers. On the other hand, countries which are particularly wary of allowing countries into the Union that may increase immigration within the bloc may look at this negatively, such as Austria and the Netherlands.
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The average for 2023 based on 20 countries was 51.68 percent. The highest value was in Guatemala: 58.2 percent and the lowest value was in Brazil: 43.3 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.
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Brazil BR: Age Dependency Ratio: % of Working-Age Population data was reported at 44.029 % in 2023. This records an increase from the previous number of 43.790 % for 2022. Brazil BR: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 64.019 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 89.023 % in 1963 and a record low of 43.371 % in 2017. Brazil BR: Age Dependency Ratio: % of Working-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.;World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.
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Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for High Income OECD Countries (SPPOPDPNDOLOEC) from 1960 to 2014 about OECD Economies, working-age, ratio, income, and population.
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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 July 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.
In 2020, the child and old-age dependency ratios in China ranged at around 25.9 and 18.2 percent respectively, summing up to a total dependency ratio of 44.1 percent. While the child dependency ratio is expected to drop slightly and then remain stable, the old-age dependency ratio will rise steadily in coming decades. Age demographics in China With a populace of 1.4 billion people by the end of 2023, China stands the country with the second largest population in the world. Since its foundation in 1949, the PRC has experienced high population growth. With the beginning of the reform period in the end of the 1970s, population growth decreased steadily. Finally, China's population size peaked in 2021 and entered a declining path. Falling birth rates in combination with higher life expectancy led to a continuously increasing median age of the population in China over the past five decades. The median age of the Chinese population is expected to rise further and to reach 50 years by the middle of the century. Development of the dependency ratio China has enjoyed a continuously growing work force since the late 1970s. Simultaneously, the total dependency ratio in China decreased from 80 percent in 1970 to about 37 percent in 2010. However, an important turning point was reached in 2011, as the total dependency ratio was set to increase again after 30 years of population bonus. As can be seen from the above graph, until 2100, child-dependency is estimated to remain steady around 15 to 20 percent. Old-age dependency on the other hand is expected to grow from about 12 percent in 2010 to 69 percent in 2060, implying a growing number of senior citizens that need support from the working population. The shift of age demographics in the near future in China is bound to have ineligible economical and social impacts. To learn more about age demographics in China, take a look at our dossier aging population in China.
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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 June 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.
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Germany - Old-age-dependency ratio was 35.20% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Old-age-dependency ratio - last updated from the EUROSTAT on July of 2025. Historically, Germany - Old-age-dependency ratio reached a record high of 35.20% in December of 2024 and a record low of 31.40% in December of 2012.
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Costa Rica CR: Age Dependency Ratio: % of Working-Age Population data was reported at 45.032 % in 2023. This records a decrease from the previous number of 45.141 % for 2022. Costa Rica CR: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 67.333 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 99.000 % in 1963 and a record low of 45.032 % in 2023. Costa Rica CR: Age Dependency Ratio: % of Working-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.;World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.
In 2021, the old-age dependency ratio in Egypt was *** percent, which means that there were roughly eight people among the age group 65 years and older per 100 working-age population (between 15 and 64 years old). Throughout the period under review, the old-age dependency ratio was lowest in 2009 and 2010, while was highest between 1990 and 1998. Moreover, between 2000 and 2021, the ratio for Egypt was higher than the old-age dependency ratio of the African continent.
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The average for 2023 based on 47 countries was 76.54 percent. The highest value was in Niger: 104.73 percent and the lowest value was in Mauritius: 41.48 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.
Italy is a country with an aging population. According to data, the dependency ratio peaked at 65.4 percent in Liguria. The lowest value was registered in Campania (50.8 percent).The dependency ratio is a comparison between the resident population in non-active age (from 0 to 14 years old as well as 65 years and older) and the working age population (15 to 64 years). Values above 50 percent indicate a generation imbalance.
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Context
The dataset tabulates the data for the High Springs, FL population pyramid, which represents the High Springs 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for High Springs Population by Age. You can refer the same here
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Context
The dataset tabulates the data for the High Bridge, NJ population pyramid, which represents the High Bridge 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for High Bridge Population by Age. You can refer the same here
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The average for 2023 based on 196 countries was 58.49 percent. The highest value was in Niger: 104.73 percent and the lowest value was in the United Arab Emirates: 20.6 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.