100+ datasets found
  1. Share of population aged 60 and older in China 1950-2100

    • ai-chatbox.pro
    • statista.com
    Updated Jun 2, 2025
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    Statista Research Department (2025). Share of population aged 60 and older in China 1950-2100 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F13107%2Faging-population-in-china-statista-dossier%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jun 2, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    China
    Description

    In 2020, about 17.9 percent of the population in China had been 60 years and older. This share is growing rapidly and was estimated to reach 40 percent by 2050. China's aging population With China’s boomer generation growing old and life expectancy increasing at the same time, the number of people at an age of 60 or above nearly doubled between 2000 and 2020 and reached around 255 million. This development is even more pronounced for the age group of 80 and above, which nearly tripled and is expected to reach a size of roughly 132 million in 2050, up from only 32 million in 2020. At the same time, the share of the working-age population is forecasted to decrease gradually from 64 percent of the total population in 2020 to around 50 percent in 2050, which could pose a heavy economic strain on the social security system. The old-age dependency ratio, which denotes the relation of the old-age to the working-age population, is estimated to grow from 18.2 percent in 2020 to more than 50 percent in 2050, implying that by then, statistically, two working-age adults would have to support one elderly. Strain on the social security net During the last 15 years, China's government has successfully increased the coverage of the pension insurance and health insurance. Today, most of the people are covered by some kind of social insurance. Conditions in the pension system are generous, with a regular retirement age for males at 60 years and women at 50 or 55. With the number of retirees increasing quickly, the social insurance system is now under pressure. From an economic point of view, improving the productivity of China's economy would be the primary choice for mitigating alleged inconsistencies of the system. However, without increasing the burden on the working people while tightening payment conditions, balancing the social security net could prove to be challenging.

  2. Age distribution in China 2014-2024

    • ai-chatbox.pro
    • statista.com
    Updated Jun 3, 2025
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    Statista Research Department (2025). Age distribution in China 2014-2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F9896%2Fchina-statista-dossier%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jun 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    China
    Description

    According to the age distribution of China's population in 2024, approximately 68.6 percent of the population were in their working age between 15 and 64 years of age. Retirees aged 65 years and above made up about 15.6 percent of the total population. Age distribution in China As can be seen from this statistic, the age pyramid in China has been gradually shifting towards older demographics during the past decade. Mainly due to low birth rates in China, the age group of 0 to 14 year-olds has remained at around 16 to 17 percent since 2010, whereas the age groups 65 years and over have seen growth of nearly seven percentage points. Thus, the median age of the Chinese population has been constantly rising since 1970 and is forecast to reach 52 years by 2050. Accompanied by a slightly growing mortality rate of more than 7 per thousand, China is showing strong signs of an aging population. China's aging society The impact of this severe change in demographics is the subject of an ongoing scientific discussion. Rising standards of living in China contain the demand for better health care and pension insurance for retirees, which will be hard to meet with the social insurance system in China still being in its infancy. Per capita expenditure on medical care and services of urban households has grown more than ninefold since 2000 with a clear and distinctive upward trend for the near future. As for social security spending, public pension expenditure is forecast to take up approximately nine percent of China's GDP by 2050.

  3. f

    Supplementary file 2_Gender disparities in healthy ageing in China: current...

    • figshare.com
    xlsx
    Updated May 22, 2025
    + more versions
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    Jiajia Deng; Lingshuai Kong; Wenyu Li (2025). Supplementary file 2_Gender disparities in healthy ageing in China: current status and future prospects.xlsx [Dataset]. http://doi.org/10.3389/fpubh.2025.1587922.s002
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    xlsxAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset provided by
    Frontiers
    Authors
    Jiajia Deng; Lingshuai Kong; Wenyu Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    As the global population ages, China faces unique challenges due to its rapid economic development and societal changes. The older adult population in China, especially females, is growing rapidly, with women outnumbering men in older age groups. Gender disparities in aging manifest in physiological, psychological, and social aspects, including higher risks of cardiovascular diseases in older adultmen and osteoporosis in older adult women. China’s rapidly aging population faces profound gender disparities in health outcomes, shaped by biological, social, and cultural determinants. Synthesizing data from the Global Burden of Disease study and national surveys, this perspective highlights elevated cardiovascular risks among older adult men, osteoporosis prevalence in women, and systemic inequities in healthcare access. We propose gender-sensitive strategies spanning research, policy, and societal awareness to advance equitable healthy aging.

  4. g

    Data from: The socioeconomic implications of population aging in the...

    • gimi9.com
    Updated Mar 23, 2025
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    (2025). The socioeconomic implications of population aging in the People's Republic of China [Dataset]. https://gimi9.com/dataset/mekong_the-socioeconomic-implications-of-population-aging-in-the-people-s-republic-of-china
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    Dataset updated
    Mar 23, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    This brief outlines the socioeconomic implications of the aging population of the People's Republic of China. Hazards of population aging, and China’s position regarding aging are discussed. The challenges ahead are then outlined: sustaining inclusive economic growth, improving mobility and quality of the labour force, and strengthening safety nets. The brief concludes with policy directions for the PRC.

  5. Population distribution in China 2023-2024, by broad age group

    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). Population distribution in China 2023-2024, by broad age group [Dataset]. https://www.statista.com/statistics/251524/population-distribution-by-age-group-in-china/
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    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, about 60.9 percent of the Chinese population was between 16 and 59 years old. Apart from the information given on broad age groups in this statistic, some more information is provided by a timeline for the age distribution and a population breakdown by smaller age groups. Demographic development in China China ranked as the second most populous country in the world with a population of nearly 1.41 billion as of mid 2024, surpassed only by India. As the world population reached more than eight billion in mid 2024, China represented almost one fifth of the global population. China's population increased exponentially between the 1950s and the early 1980s due to Mao Zedong's population policy. To tackle the problem of overpopulation, a one-child policy was implemented in 1979. Since then, China's population growth has slowed from more than two percent per annum in the 1970s to around 0.5 percent per annum in the 2000s, and finally turned negative in 2022. China's aging population One outcome of the strict population policy is the acceleration of demographic aging trends. According to the United Nations, China's population median age has more than doubled over the last five decades, from 18 years in 1970 to 37.5 years in 2020. Few countries have aged faster than China. The dramatic aging of the population is matched by slower growth. The total fertility rate, measuring the number of children a woman can expect to have in her life, stood at just around 1.2 children. This incremental decline in labor force could lead to future challenges for the Chinese government, causing instability in current health care and social insurance mechanisms. To learn more about demographic development of the rural and urban population in China, please take a look at our reports on population in China and aging population in China.

  6. Child, old-age, and total dependency ratio in China 1950-2100

    • statista.com
    • ai-chatbox.pro
    Updated Jul 12, 2024
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    Statista (2024). Child, old-age, and total dependency ratio in China 1950-2100 [Dataset]. https://www.statista.com/statistics/251535/child-and-old-age-dependency-ratio-in-china/
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    Dataset updated
    Jul 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    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.

  7. C

    China Assisted Living Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 1, 2025
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    Market Report Analytics (2025). China Assisted Living Market Report [Dataset]. https://www.marketreportanalytics.com/reports/china-assisted-living-market-91972
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    doc, pdf, pptAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    China
    Variables measured
    Market Size
    Description

    The China assisted living market is experiencing robust growth, driven by an aging population, increasing disposable incomes, and a rising awareness of senior care needs. With a CAGR exceeding 12% since 2019 and a projected market size of (estimated) $XX million in 2025, this sector presents significant investment opportunities. Key drivers include government initiatives promoting senior care infrastructure development, urbanization leading to increased demand for professional care services, and a growing preference for non-family-based living arrangements among older adults. The market is segmented geographically, with Shanghai, Beijing, Chongqing, Wuhan, and Chengdu representing significant hubs of activity. Leading players like China Vanke, Sino-Ocean Group, and Taikang Life are actively shaping the market landscape through strategic investments and service innovations. However, challenges remain, including the high cost of high-quality assisted living, limited availability of skilled professionals, and regional disparities in service provision. Future growth will depend on overcoming these restraints through strategic partnerships, technological advancements (such as telehealth integration), and continuous improvement in service standards to meet the evolving needs of an increasingly aging populace. The forecast period (2025-2033) anticipates continued market expansion, fueled by sustained demographic shifts and government policies that aim to improve the overall quality of senior care. While challenges related to staffing and affordability will persist, innovative service models and technological advancements are expected to mitigate some of these pressures. The expansion into secondary and tertiary cities presents a significant avenue for growth, as demand for assisted living solutions expands beyond the major metropolitan areas. Successful players will be those who can adapt quickly to changing regulatory landscapes, deliver cost-effective and high-quality services, and effectively address the diverse needs of their residents. Recent developments include: In September 2021, the Grand Opening of Lendlease's landmark senior living project in Qingpu, Shanghai, was announced. Ardo Gardens provides a welcoming and well-being-focused environment for seniors to live vibrant and active lives, supported by luxury facilities and the best services., In May 2021, New China Life Insurance Co. Ltd opened a new elderly care community in Beijing's Yanqing district, totaling 280,000 sq. m and 2,000 apartments. The community will provide about 200 long-term apartments tailored for the elderly and 100 short-term guest rooms in the project's first phase, along with entertainment, catering, sports, medical care, social exchange, and wealth management services.. Notable trends are: Increase in Senior Population and Life Expectancy.

  8. N

    China, TX Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). China, TX Age Cohorts Dataset: Children, Working Adults, and Seniors in China - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4b75c3ca-f122-11ef-8c1b-3860777c1fe6/
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    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Texas, China
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the China population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of China. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 459 (51.46% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

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

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the China population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in China is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the China 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 China Population by Age. You can refer the same here

  9. H

    Aging Population and Environmental Goals: Exploring China’s Path to Economic...

    • dataverse.harvard.edu
    Updated Mar 23, 2024
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    lili Wang (2024). Aging Population and Environmental Goals: Exploring China’s Path to Economic Growth and Carbon Neutrality [Dataset]. http://doi.org/10.7910/DVN/FFCOK3
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 23, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    lili Wang
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    China
    Description

    Aging Population and Environmental Goals: Exploring China’s Path to Economic Growth and Carbon Neutrality

  10. N

    China, Maine Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). China, Maine Age Cohorts Dataset: Children, Working Adults, and Seniors in China town - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/china-me-population-by-age/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Maine, China
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the China town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of China town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 2,829 (63.22% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

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

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the China town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in China town is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the China town 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 China town Population by Age. You can refer the same here

  11. Population in China 2014-2024, by gender

    • ai-chatbox.pro
    • statista.com
    Updated Jun 2, 2025
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    Statista Research Department (2025). Population in China 2014-2024, by gender [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F57683%2Fwomen-in-china%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jun 2, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    China
    Description

    In 2024, there were around 719 million male inhabitants and 689 million female inhabitants living in China, amounting to around 1.41 billion people in total. China's total population decreased for the first time in decades in 2022, and population decline is expected to accelerate in the upcoming years. Birth control in China From the beginning of the 1970s on, having many children was no longer encouraged in mainland China. The one-child policy was then introduced in 1979 to control the total size of the Chinese population. According to the one-child policy, a married couple was only allowed to have one child. With the time, modifications were added to the policy, for example parents living in rural areas were allowed to have a second child if the first was a daughter, and most ethnic minorities were excepted from the policy. Population ageing The birth control led to a decreasing birth rate in China and a more skewed gender ratio of new births due to boy preference. Since the negative economic and social effects of an aging population were more and more felt in China, the one-child policy was considered an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. However, many young Chinese people are not willing to have more children due to high costs of raising a child, especially in urban areas.

  12. f

    S1 Data -

    • figshare.com
    xls
    Updated Feb 15, 2024
    + more versions
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    Lei Zhang; Jie Tang; Meisa Xu; Daliang Zhang; Haixiao Chen; Dayong Zhang (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0298199.s001
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    xlsAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Lei Zhang; Jie Tang; Meisa Xu; Daliang Zhang; Haixiao Chen; Dayong Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Yangtze River Delta urban agglomeration (YRDUA) is China’s most representative region with remarkable economic development vitality. The purpose of this study is to provide valuable data analysis to actively respond to the population aging in China. We mainly focus on the spatial and temporal evolution of population aging in YRDUA from 2000 to 2020 using city-level population data. This study constructs a multi-dimensional index system to measure population aging including population aging degree, speed, and density. It finds out: (1) the elderly population rate (EPR), the elder-child ratio (ECR), and the elderly dependency ratio (EDR) in the YRDUA area are gradually increasing from 2000 to 2020. In addition, the trends of these indicators in various cities and regions are relatively consistent. All 27 cities in YRDUA entered an aging society, from the primary to the moderate aging stage from 2000 to 2010 and from the moderate to the hyper aging stage from 2010 to 2020. (2) the absolute and relative growth rate of EPR is increasing from 2000 to 2020. However, the absolute and relative growth rate of ECR is increasing from 2000 to 2010 and then decreasing from 2010 to 2020. These results indicate that the two-child policy adopted by the Chinese government plays a positive role. (3) the density level of the elderly population in the YRDUA evolved from low in 2000 to middle in 2010 and then to high in 2020. (4) There are remarkable differences in the process of population aging among three provinces and one city. The contribution of this study is mainly reflected in two aspects: firstly, it constructs a multi-dimensional index system to measure population aging; secondly, using this multi-dimensional index system, it systematically observes the spatial and temporal evolution of population aging from 2000 to 2020 in the Yangtze River Delta Urban Agglomeration.

  13. Moran’s I estimation of population aging in China.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 12, 2023
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    Lianxia Wu; Zuyu Huang; Zehan Pan (2023). Moran’s I estimation of population aging in China. [Dataset]. http://doi.org/10.1371/journal.pone.0243559.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lianxia Wu; Zuyu Huang; Zehan Pan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Moran’s I estimation of population aging in China.

  14. China Population: Age 65 and Above

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2025). China Population: Age 65 and Above [Dataset]. https://www.ceicdata.com/en/china/population/population-age-65-and-above
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Population
    Description

    China Population: Age 65 and Above data was reported at 220.230 Person mn in 2024. This records an increase from the previous number of 216.760 Person mn for 2023. China Population: Age 65 and Above data is updated yearly, averaging 100.550 Person mn from Dec 1953 (Median) to 2024, with 39 observations. The data reached an all-time high of 220.230 Person mn in 2024 and a record low of 25.098 Person mn in 1964. China Population: Age 65 and Above 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.

  15. S

    China's Less-Children-Aging Dataset

    • scidb.cn
    Updated Jun 6, 2025
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    Lin Liyue; Zhu Yu; chen xiang; Ke Wenqian (2025). China's Less-Children-Aging Dataset [Dataset]. http://doi.org/10.57760/sciencedb.26090
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 6, 2025
    Dataset provided by
    Science Data Bank
    Authors
    Lin Liyue; Zhu Yu; chen xiang; Ke Wenqian
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    China's provincial, municipal, and county-level shares of the juvenile population, shares of the elderly population, types of juvenile-aging, transition paths of the types, and changes in the Sangitu in 2000, 2010, and 2020; and typical regional divisions based on the county level and their share of the types of juvenile-aging.1. The proportion of the lesser population, the proportion of the elderly population and their types: the level of aging is measured by the proportion of the elderly population in the total population, and when the proportion of the elderly population aged 65 and above in a country or region exceeds 7%, it is considered that the country or region has entered an aging society. With reference to relevant studies and the actual situation, the proportion of the elderly population aged 65 and above is set at less than 7% as unaged, at 7% to 14% as mildly aged, at 14% to 20% as moderately aged, and at more than 20% as severely aged. The level of underageing is measured by the proportion of children aged 0 to 14 years old, and when the proportion of children aged 0 to 14 years old in a country or region is less than 20%, it is considered to have entered an underage society. Referring to the study of Ding Jinhong et al, the proportion of the population of children less than 20% is set as oligonization, when 20% to 40% is set as polyonization, and 40% to 60% is set as hyperpolyonization. The quadrant diagram (X, Y) tool was introduced to determine the type of oligo-polyploidization. The horizontal axis (X) represents the proportion of elderly population and the vertical axis (Y) represents the proportion of oligo-population, and a two-dimensional matrix is constructed to obtain different combinations of types.2. Sanger diagram: Use the above three scales of types to calculate the size of the type shift flow from 2000 to 2010 and from 2010 to 2020 respectively, e.g., 30% of type 1 shifted to type 2, and 20% were retained as type 1, etc.3. Cluster analysis: using K-Means clustering method to cluster the type shift of oligo - aging at county scale from 2000 to 2010, 2010 to 2020, and 2000 to 2020.4. Pie Chart: A certain type of oligo - aging in a region / the total number of types in the region in that year * 1005. multinomial logistic regression:choose the difference between urbanization rate, population inflow rate, female illiteracy rate and birth rate in time period t (2000-2010, 2010-2020) as the independent variables. Apply multinomial

  16. Number of people in China by age group 1990-2024

    • ai-chatbox.pro
    • statista.com
    Updated Mar 4, 2025
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    Statista (2025). Number of people in China by age group 1990-2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F250753%2Fnumber-of-people-in-china-by-age-group%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, approximately 965.65 million people in China were of working age between 15 and 64 years. This was equal to a 68.3 percent share of the total population. Age groups between 30 and 59 years represented the largest age cohorts in the Chinese population pyramid. Age demographics in China The change in China’s age distribution over time displayed in the given statistic illustrates the unfolding of an aging population. As the fertility rate in China declined and life expectancy increased, the only age groups that have been growing over the last three decades were those of old people. In contrast, the number of children decreased gradually between 1995 and 2010 and remained comparatively low thereafter. According to the data provided by the National Bureau of Statistics of China, which has not been revised for years before the 2020 census, the size of the working age population declined in 2014 for the first time and entered a downward trajectory thereafter. This development has extended itself into the total population, which has shrunk in 2022 for the first time in decades. Future age development As the fertility rate in China is expected to remain below the reproductive level, the Chinese society will very likely age rapidly. According to UN data, which is based on figures slightly different from the Chinese official numbers, the share of the population above 60 years of age is projected to reach nearly 40 percent in 2050, while the share of children is expected to remain stable. This will lead to an increased burden of the old-age population on the social security system, illustrated by an old-age dependency ratio peaking at nearly 106 percent in 2090. This means that by then, ten working-age adults would have to support nine elderly people.

  17. N

    China Grove, TX Age Cohorts Dataset: Children, Working Adults, and Seniors...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). China Grove, TX Age Cohorts Dataset: Children, Working Adults, and Seniors in China Grove - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4b75c246-f122-11ef-8c1b-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Texas, China Grove
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the China Grove population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of China Grove. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 782 (56.06% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

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

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the China Grove population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in China Grove is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the China Grove 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 China Grove Population by Age. You can refer the same here

  18. S

    Senior Care and Living Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 28, 2025
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    Data Insights Market (2025). Senior Care and Living Services Report [Dataset]. https://www.datainsightsmarket.com/reports/senior-care-and-living-services-1418963
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Senior Care and Living Services market is poised for significant growth, with a market size of $580.8 billion in 2025 and a projected CAGR of 5.7% from 2025 to 2033. Key drivers include the rising elderly population, increasing incidence of chronic diseases, and growing demand for home-based care services. Key industry trends include the integration of technology, personalization of care, and increasing government support for senior care services. The market is segmented based on application (home, hospital, nursing home) and type (nursing care facilities, home healthcare services, social services, continuing care retirement communities, assisted living facilities). North America and Europe dominate the market, while Asia Pacific is expected to exhibit the highest growth rate due to the rapidly aging population in countries like China and India. Major industry players include Genesis HealthCare, Benesse Style Care, ApnaCare Latin America, Econ Healthcare Group, and Golden Care Group. The market is expected to continue growing in the coming years, driven by rising demand for quality care and services for the elderly population worldwide.

  19. Speed of population aging in Yangtze river delta urban agglomeration...

    • plos.figshare.com
    xls
    Updated Feb 15, 2024
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    Lei Zhang; Jie Tang; Meisa Xu; Daliang Zhang; Haixiao Chen; Dayong Zhang (2024). Speed of population aging in Yangtze river delta urban agglomeration (2000–2010). [Dataset]. http://doi.org/10.1371/journal.pone.0298199.t004
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    xlsAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lei Zhang; Jie Tang; Meisa Xu; Daliang Zhang; Haixiao Chen; Dayong Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Yangtze Delta
    Description

    Speed of population aging in Yangtze river delta urban agglomeration (2000–2010).

  20. d

    Does population aging reshape carbon emissions during new urbanization in...

    • dataone.org
    • dataverse.harvard.edu
    Updated Dec 16, 2023
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    Wang, lili (2023). Does population aging reshape carbon emissions during new urbanization in emerging countries? insight from China [Dataset]. http://doi.org/10.7910/DVN/WGOOZB
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Wang, lili
    Description

    Does population aging reshape carbon emissions during new urbanization in emerging countries? insight from China

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Statista Research Department (2025). Share of population aged 60 and older in China 1950-2100 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F13107%2Faging-population-in-china-statista-dossier%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
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Share of population aged 60 and older in China 1950-2100

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 2, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Area covered
China
Description

In 2020, about 17.9 percent of the population in China had been 60 years and older. This share is growing rapidly and was estimated to reach 40 percent by 2050. China's aging population With China’s boomer generation growing old and life expectancy increasing at the same time, the number of people at an age of 60 or above nearly doubled between 2000 and 2020 and reached around 255 million. This development is even more pronounced for the age group of 80 and above, which nearly tripled and is expected to reach a size of roughly 132 million in 2050, up from only 32 million in 2020. At the same time, the share of the working-age population is forecasted to decrease gradually from 64 percent of the total population in 2020 to around 50 percent in 2050, which could pose a heavy economic strain on the social security system. The old-age dependency ratio, which denotes the relation of the old-age to the working-age population, is estimated to grow from 18.2 percent in 2020 to more than 50 percent in 2050, implying that by then, statistically, two working-age adults would have to support one elderly. Strain on the social security net During the last 15 years, China's government has successfully increased the coverage of the pension insurance and health insurance. Today, most of the people are covered by some kind of social insurance. Conditions in the pension system are generous, with a regular retirement age for males at 60 years and women at 50 or 55. With the number of retirees increasing quickly, the social insurance system is now under pressure. From an economic point of view, improving the productivity of China's economy would be the primary choice for mitigating alleged inconsistencies of the system. However, without increasing the burden on the working people while tightening payment conditions, balancing the social security net could prove to be challenging.

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