56 datasets found
  1. Percentage of population aged 65 years and older Japan 1960-2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Percentage of population aged 65 years and older Japan 1960-2023 [Dataset]. https://www.statista.com/statistics/1149301/japan-share-of-population-aged-65-and-above/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2023, people aged 65 years and older in Japan accounted for approximately **** percent of the total Japanese population. Due to a low birth rate and high longevity, people aged 65 years and older were estimated to make up almost ** percent of the population in Japan by 2070.

  2. Age distribution in Japan 2013-2023

    • statista.com
    Updated Jun 13, 2025
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    Statista (2025). Age distribution in Japan 2013-2023 [Dataset]. https://www.statista.com/statistics/270087/age-distribution-in-japan/
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    Over the last decade, Japan’s population has aged more and more, to the point where more than a quarter of Japanese were 65 years and older in 2022. Population growth has stopped and even reversed, since it’s been in the red for several years now.

    It’s getting old

    With almost 30 percent of its population being elderly inhabitants, Japan is considered the “oldest” country in the world today. Japan boasts a high life expectancy, in fact, the Japanese tend to live longer than the average human worldwide. The increase of the aging population is accompanied by a decrease of the total population caused by a sinking birth rate. Japan’s fertility rate has been below the replacement rate for many decades now, mostly due to economic uncertainty and thus a decreasing number of marriages.

    Are the Japanese invincible?

    There is no real mystery surrounding the ripe old age of so many Japanese. Their high average age is very likely due to high healthcare standards, nutrition, and an overall high standard of living – all of which could be adopted by other industrial nations as well. But with high age comes less capacity, and Japan’s future enemy might not be an early death, but rather a struggling social network.

  3. f

    An evaluation of fertility- and migration-based policy responses to Japan’s...

    • plos.figshare.com
    txt
    Updated May 30, 2023
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    Alexander J. Q. Parsons; Stuart Gilmour (2023). An evaluation of fertility- and migration-based policy responses to Japan’s ageing population [Dataset]. http://doi.org/10.1371/journal.pone.0209285
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    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Alexander J. Q. Parsons; Stuart Gilmour
    License

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

    Area covered
    Japan
    Description

    Japan’s ongoing struggle with rapid ageing is well known. Fertility and migration policies have both been proposed as solutions to Japan’s ageing population. We used stock flow population models to estimate the impact of hypothetical fertility and migration policy interventions on measures of aging in Japan from 2015 to 2050. We evaluated policy models based on the Old Age Dependency Ratio (OADR) they produced at the specified end date. Start dates ranged from 2020 to 2030 to assess the time horizons of individual policies. Fertility policies were found to be highly time dependent and only slowed the rate of increase of OADR. It would require a Total Fertility Rate far above replacement levels to compensate for Japan’s already aged demography. Migration policy was less time dependent. However, such measures would require unprecedented, and ultimately unrealistic, volumes of migration over coming decades in order to reduce Japan’s OADR. Our results suggest that fertility and migration based policy responses will be unable to significantly reduce Japan’s OADR or reverse Japan’s ageing population within the next few decades. Japan should focus on activating its human capital through the prolongation of working lives, increasing participation, and improving productivity within the Japanese labour force to mitigate and adapt to the inevitable effects of ageing populations.

  4. Japan JP: Population: as % of Total: Female: Aged 65 and Above

    • ceicdata.com
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    CEICdata.com, Japan JP: Population: as % of Total: Female: Aged 65 and Above [Dataset]. https://www.ceicdata.com/en/japan/population-and-urbanization-statistics/jp-population-as--of-total-female-aged-65-and-above
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    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, 2005 - Dec 1, 2016
    Area covered
    Japan
    Variables measured
    Population
    Description

    Japan JP: Population: as % of Total: Female: Aged 65 and Above data was reported at 29.934 % in 2017. This records an increase from the previous number of 29.446 % for 2016. Japan JP: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 13.229 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 29.934 % in 2017 and a record low of 6.270 % in 1960. Japan JP: Population: as % of Total: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

  5. d

    Replication Data for: Aging and the Politics of Monetary Policy in Japan

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Yamada, Kyohei; Park, Gene (2023). Replication Data for: Aging and the Politics of Monetary Policy in Japan [Dataset]. http://doi.org/10.7910/DVN/BA15EX
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Yamada, Kyohei; Park, Gene
    Description

    This paper explores how Japan’s aging population impacts the politics of monetary policy. Previous research suggest that the elderly have a variety of distinct policy preferences. Given that elderly voters also have higher voting rates, the rapid greying of the population could have significant effects on distributive struggles over economic policy across much of the developed world. In Japan, aging is advancing rapidly, and the central bank has engaged in massive monetary stimulus to induce inflation, which existing work suggests the elderly should oppose. Analyzing results from three surveys, this paper has three central findings: (1) the elderly tend to have higher inflation aversion, (2) the elderly display some opposition to quantitative easing (QE), and (3) despite such policy preferences, the concentration of elderly in electoral districts has no significant effect on the preferences either of legislative incumbents or candidates. The third finding is attributable to the fact that elderly opposition to quantitative easing is moderated by their partisan identification. Elderly Liberal Democratic Party voters have systematically lower opposition to quantitative easing, likely reflecting that these voters have aligned their preferences with the LDP’s policies.

  6. H

    Supplementary Information for: Deservingness Heuristics and Policy Attitudes...

    • dataverse.harvard.edu
    Updated Jun 3, 2023
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    Yesola Kweon; ByeongHwa Choi (2023). Supplementary Information for: Deservingness Heuristics and Policy Attitudes Toward the Elderly in an Aging Society: Evidence from Japan [Dataset]. http://doi.org/10.7910/DVN/RNGFHQ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Yesola Kweon; ByeongHwa Choi
    License

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

    Area covered
    Japan
    Description

    Replication Data for: Deservingness Heuristics and Policy Attitudes Toward the Elderly in an Aging Society: Evidence from Japan

  7. Japan JP: Population: as % of Total: Male: Aged 0-14

    • ceicdata.com
    Updated Jan 23, 2025
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    CEICdata.com (2025). Japan JP: Population: as % of Total: Male: Aged 0-14 [Dataset]. https://www.ceicdata.com/en/japan/population-and-urbanization-statistics/jp-population-as--of-total-male-aged-014
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    Dataset updated
    Jan 23, 2025
    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, 2005 - Dec 1, 2016
    Area covered
    Japan
    Variables measured
    Population
    Description

    Japan JP: Population: as % of Total: Male: Aged 0-14 data was reported at 13.548 % in 2017. This records a decrease from the previous number of 13.597 % for 2016. Japan JP: Population: as % of Total: Male: Aged 0-14 data is updated yearly, averaging 20.224 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 31.420 % in 1960 and a record low of 13.548 % in 2017. Japan JP: Population: as % of Total: Male: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Population and Urbanization Statistics. Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

  8. T

    Japan - Population Ages 65 And Above (% Of Total)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 26, 2013
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    TRADING ECONOMICS (2013). Japan - Population Ages 65 And Above (% Of Total) [Dataset]. https://tradingeconomics.com/japan/population-ages-65-and-above-percent-of-total-wb-data.html
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jul 26, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Japan
    Description

    Population ages 65 and above (% of total population) in Japan was reported at 29.56 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Population ages 65 and above (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  9. Japan JP: Population: Female: Aged 0-14

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan JP: Population: Female: Aged 0-14 [Dataset]. https://www.ceicdata.com/en/japan/population-and-urbanization-statistics/jp-population-female-aged-014
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    Dataset updated
    Feb 15, 2025
    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, 2005 - Dec 1, 2016
    Area covered
    Japan
    Variables measured
    Population
    Description

    Japan JP: Population: Female: Aged 0-14 data was reported at 7,950,363.000 Person in 2017. This records a decrease from the previous number of 7,993,231.000 Person for 2016. Japan JP: Population: Female: Aged 0-14 data is updated yearly, averaging 11,629,233.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 13,688,228.000 Person in 1960 and a record low of 7,950,363.000 Person in 2017. Japan JP: Population: Female: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

  10. r

    National Survey of the Japanese Elderly

    • rrid.site
    • uri.interlex.org
    • +3more
    Updated Jun 17, 2025
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    (2025). National Survey of the Japanese Elderly [Dataset]. http://identifiers.org/RRID:SCR_008971
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    Dataset updated
    Jun 17, 2025
    Description

    A panel data set for use in cross-cultural analyses of aging, health, and well-being between the U.S. and Japan. The questionnaires were designed to be partially comparable to many surveys of the aged, including Americans'' Changing Lives; 1984 National Health Interview Survey Supplement on Aging; Health and Retirement Study (HRS), and Well-Being Among the Aged: Personal Control and Self-Esteem (WBA). NSJE questionnaire topics include: * Demographics (age, sex, marital status, education, employment) * Social Integration (interpersonal contacts, social supports) * Health Limitations on daily life and activities * Health Conditions * Health Status (ratings of present health) * Level of physical activity * Subjective Well-Being and Mental Health Status (life satisfaction, morale), * Psychological Indicators (life events, locus of control, self-esteem) * Financial situation (financial status) * Memory (measures of cognitive functioning) * Interviewer observations (assessments of respondents) The NSJE was based on a national sample of 2,200 noninstitutionalized elderly aged 60+ in Japan. This cohort has been interviewed once every 3 years since 1987. To ensure that the data are representative of the 60+ population, the samples in 1990 and 1996 were refreshed to add individuals aged 60-62. In 1999, a new cohort of Japanese adults aged 70+ was added to the surviving members of previous cohorts to form a database of 3,990 respondents 63+, of which some 3,000 were 70+. Currently a 6-wave longitudinal database (1987, 1990, 1993, 1996, 1999, & 2002) is in place; wave 7 began in 2006. Data Availability: Data from the first three waves of the National Survey of the Japanese Elderly are currently in the public domain and can be obtained from ICPSR. Additional data are being prepared for future public release. * Dates of Study: 1987-2006 * Study Features: Longitudinal, International * Sample Size: ** 1987: 2,200 ** 1990: 2,780 ** 1993: 2,780 ** 1996: ** 1999: 3,990 ** 2002: ** 2006: Links: * 1987 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06842 * 1990 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03407 * 1993 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04145 * 1996 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/26621

  11. n

    Nihon University Japanese Longitudinal Study of Aging

    • neuinfo.org
    • dknet.org
    • +1more
    Updated Jan 29, 2022
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    (2022). Nihon University Japanese Longitudinal Study of Aging [Dataset]. http://identifiers.org/RRID:SCR_008974/resolver?q=&i=rrid
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    Dataset updated
    Jan 29, 2022
    Description

    Longitudinal data set of a nationally representative sample of the population aged 65 and over in Japan, comparable to that collected in the US and other countries. The first two waves of data are now available to the international research community. The sample is refreshed with younger members at each wave so it remains representative of the population at each wave. The study was designed primarily to investigate health status of the Japanese elderly and changes in health status over time. An additional aim is to investigate the impact of long-term care insurance system on the use of services by the Japanese elderly and to investigate the relationship between co-residence and the use of long term care. While the focus of the survey is health and health service utilization, other topics relevant to the aging experience are included such as intergenerational exchange, living arrangements, caregiving, and labor force participation. The initial questionnaire was designed to be comparable to the (US) Longitudinal Study of Aging II (LSOAII), and to the Asset and Health Dynamics Among the Oldest Old (AHEAD, a pre-1924 birth cohort) sample of the Health and Retirement Study (HRS), which has now been merged with the HRS. The sample was selected using a multistage stratified sampling method to generate 340 primary sampling units (PSUs). The sample of individuals was selected for the most part by using the National Residents Registry System, considered to be universal and accurate because it is a legal requirement to report any move to local authorities within two weeks. From each of the 340 PSUs, 6-11 persons aged 65-74 were selected and 8-12 persons aged 75+ were sampled. The population 75+ was oversampled by a factor of 2. Weights have been developed for respondents to the first wave of the survey to reflect sampling probabilities. Weights for the second wave are under development. With these weights, the sample should be representative of the 65+ Japanese population. In fall 1999, 4,997 respondents aged 65+ were interviewed, 74.6 percent of the initial target. Twelve percent of responses were provided by proxies, because of physical or mental health problems. The second wave of data was collected in November 2001. The third wave was collected in November 2003. Questionnaire topics include family structure, and living arrangements; subjects'''' parents/spouse''''s parents/children; socioeconomic status; intergenerational exchange; health behaviors, chronic conditions, physical functioning; activities of daily living and instrumental activities of daily living; functioning in the community; mental health depression measures; vision and hearing; dental health; health care and other service utilization. A CD is available which include the codebook and data files for the first and second waves of the national sample. The third wave of data will be released at a later date. * Dates of Study: 1999-2003 * Study Features: Longitudinal, International * Sample Size: ** 4,997 Nov/Dec 1999 Wave 1 ** 3,992 Nov 2001 Wave 2 ** Nov 2003 Wave 3 Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00156

  12. Median age of the population in China 1950-2100

    • ai-chatbox.pro
    • statista.com
    Updated Jun 2, 2025
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    Statista Research Department (2025). Median age of the population 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

    Since 1970, the median age of China’s population has continued to increase from around 20 years to around 37.5 years in 2020. According to estimates from the United Nations, the increasing trend will slow down when the median age will reach 50 years in the middle of the 21st century and will remain at around 60 years up to 2100. China’s aging population Although the median age of China’s population is still lower than in many developed countries, for example in Japan, the consequences of a rapidly aging population have already become a concern for the country’s future. As the most populated country in the world, the large labor force in China contributed to the country’s astonishing economic growth in the last decades. Nowadays however, the aging population is going to become a burden for China’s social welfare system and could change China’s economic situation. Reasons for the aging population Like in many other countries, increasing life expectancy is regarded as the main reason for the aging of the population. As healthcare and living standards have improved, life expectancy in China has also increased. In addition, the one-child policy led to a decreasing fertility rate in China, which further increased the share of older people in the society. Even though the one-child policy has been abolished in 2016, many young people are refraining from having children, largely due to the high costs of raising a child, career pressure and the pursuit of freedom.

  13. Total population in Japan 2020-2030

    • statista.com
    Updated Apr 25, 2025
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    Statista (2025). Total population in Japan 2020-2030 [Dataset]. https://www.statista.com/statistics/263746/total-population-in-japan/
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    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    The statistic shows the total population in Japan from 2020 to 2024, with projections up until 2030. In 2024, the total population of Japan amounted to around 123.89 million inhabitants. See the figures for the population of South Korea for comparison. Total population in Japan From steadily low fertility rates to a growing elderly population, it is no secret that Japan’s population is shrinking. Population growth rates jump around a little, but are currently following a declining trend. The post-war baby boom generation is now in the 65-and-over age group, and the percentage of the population in that category is expected to keep growing, as is indicated by a high median age and high life expectancy. Japan already has the highest percentage of its population over 65 in the world, and the aging population puts some pressure on the Japanese government to provide welfare services for more people as rising numbers leave the workforce. However, the amount of jobs opened up for the younger generations by the older generations leaving the workforce means that unemployment is kept to a minimum. Despite a jump in unemployment after the global recession hit in 2008, rates were almost back to pre-recession rates by 2013. Another factor affecting Japan is the number of emigrants to other countries. The United States absorbs a number of emigrants worldwide, so despite a stagnating birth rate, the U.S. has seen a steady rise in population.

  14. n

    Data from: Lifetime cumulative incidence of dementia in a community-dwelling...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Jan 15, 2021
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    Daigo Yoshida; Tomoyuki Ohara; Jun Hata; Mao Shibata; Yoichiro Hirakawa; Takanori Honda; Yoshihiko Furuta; Emi Oishi; Satoko Sakata; Shigenobu Kanba; Takanari Kitazono; Toshiharu Ninomiya (2021). Lifetime cumulative incidence of dementia in a community-dwelling elderly population in Japan [Dataset]. http://doi.org/10.5061/dryad.d8v1b44
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    zipAvailable download formats
    Dataset updated
    Jan 15, 2021
    Dataset provided by
    ,
    Authors
    Daigo Yoshida; Tomoyuki Ohara; Jun Hata; Mao Shibata; Yoichiro Hirakawa; Takanori Honda; Yoshihiko Furuta; Emi Oishi; Satoko Sakata; Shigenobu Kanba; Takanari Kitazono; Toshiharu Ninomiya
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Japan
    Description

    Objective: The aim of this study is to estimate the lifetime cumulative incidence of dementia and its subtypes from a community-dwelling elderly population in Japan. Methods: A total of 1,193 community-dwelling Japanese individuals without dementia, aged 60 years or older, were followed-up prospectively for 17 years. The cumulative incidence of dementia was estimated based on a death- and dementia-free survival function and the hazard functions of dementia at each year, which were computed by using a Weibull proportional hazards model. The lifetime risk of dementia was defined as the cumulative incidence of dementia at the point in time when the survival probability of the population was estimated to be less than 0.5%. Results: During the follow-up, 350 subjects experienced some type of dementia; among them, 191 subjects developed Alzheimer's disease (AD) and 117 developed vascular dementia (VaD). The lifetime risk of dementia was 55% (95% confidence interval [CI], 49-60%). Women had an approximately 1.5-time greater lifetime risk of dementia than men (65% [57-72%] vs. 41% [33-49%]). The lifetime risks of developing AD and VaD were 42% (35-50%) and 16% (12-21%) in women, versus 20% (7-34%) and 18% (13-23%) in men, respectively. Conclusion: Lifetime risk of all dementia for Japanese elderly was substantial at approximately 50% or higher. This study suggests that the lifetime burden attributable to dementia in contemporary Japanese communities is immense.

  15. Population Japan 2000-2033, by age group

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Population Japan 2000-2033, by age group [Dataset]. https://www.statista.com/statistics/612575/japan-population-age-group/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    According to a projection made in 2023, it was forecast that the number of people aged 65 years or older in Japan would increase from about **** million in 2024 to around ** million people by 2033. By contrast, the number of children, as well as the working-age population, was forecast to shrink in the same period.

  16. f

    Data from: Gridded datasets for Japan: total, male, and female populations...

    • springernature.figshare.com
    zip
    Updated Feb 9, 2024
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    Shunsuke Managi; Chao Li (2024). Gridded datasets for Japan: total, male, and female populations from 2001-2020 [Dataset]. http://doi.org/10.6084/m9.figshare.21077107.v1
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    zipAvailable download formats
    Dataset updated
    Feb 9, 2024
    Dataset provided by
    figshare
    Authors
    Shunsuke Managi; Chao Li
    License

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

    Area covered
    Japan
    Description

    Japan is one of the highly urbanized and severely aging society. In an aging society, chronic disease and disability are prevalent, and the population is sensitive to environmental issues and climate change. To detect the impacts of population changes, formulate the population and public health policies, and assist environmental applications, the high-resolution and accurate gridded population dataset is strongly desired. To provide basic data for these studies, we create an open access annual dataset containing the total, male, and female population counts in each grid at a 500-m resolution from 2001 to 2020. The yearly population dataset is based on the 4th-level mesh data from the Statistics Bureau of Japan to make it easy to use. The dataset is provided here alongside the descriptions of the data and methods used in the fitting, cross-validation, and prediction processes.

    The total population data are stored in 20 attributes, named the “X0000” style. The “0000” of “X0000” represents the four-digit year. For example, the attribute “X2001” reports the total 2001 population in the mesh. The dataset also preserves the direct output from the random forest and the logarithms of the total population. The attributes of the logarithms of the total population in each year are named in “X0000_log” style. The “0000” of “X0000_log” also stands for the four-digit year. The attributes of the female population, the logarithm of the female population, the male population, and the logarithm of the male population are written as “X0000_fema”, “X0000_fe_l”, “X0000_male”, and “X0000_ma_l”, respectively.

    The accuracy of the models constructed to predict the total, male, and female populations are 92.09%, 91.92%, and 92.16%, respectively.

  17. f

    STE, MI, BMI, and p-value of each indicator.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Haruka Kato (2023). STE, MI, BMI, and p-value of each indicator. [Dataset]. http://doi.org/10.1371/journal.pone.0284134.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Haruka Kato
    License

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

    Description

    Shrinking cities due to low birthrates and aging populations represent a significant urban planning issue. The research question of this study is: which economic, social, and educational factors affect population decline in Japanese shrinking cities? By modeling shrinking cities using the case of Japanese cities, this study aims to clarify the indicators that affect the population change rate. The study employed Bayesian network analysis, a machine learning technique, using a dataset of economic, social, and educational indicators. In conclusion, this study demonstrates that social and educational indicators affect the population decline rate. Surprisingly, the impact of educational indicators is more substantial than that of economic indicators such as the financial strength index. Considering the limitations in fiscal expenditures, increasing investment in education might help solve the problem of shrinking cities because of low birthrates and aging populations. The results provide essential insights and can function as a planning support system.

  18. H

    Replication Data for: The Politics of Aging: Age Difference in Welfare Issue...

    • dataverse.harvard.edu
    • search.dataone.org
    pdf, txt +1
    Updated Apr 15, 2020
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    Harvard Dataverse (2020). Replication Data for: The Politics of Aging: Age Difference in Welfare Issue Salience in Japan 1972-2016 [Dataset]. http://doi.org/10.7910/DVN/RG3OYS
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    txt(2593), type/x-r-syntax(5227), txt(2943741), pdf(168538)Available download formats
    Dataset updated
    Apr 15, 2020
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    This paper examines a factor affecting why the interests of the older electorate often prevail in politics in developed countries with aging populations, namely the difference in issue salience related to governmental programs for the elderly. Analysis of data collected with a national electoral survey in Japan conducted at every national election between 1972 and 2016 (28 surveys) revealed that elderly voters have been far more attentive – and more consistently attentive – to the welfare issue than the younger electorate when making voting choices. Moreover, the gap has grown in recent years as the population ages and the welfare program matures, probably due to policy feedback. This gap would enhance the influence of the elderly over the issue beyond their numbers and higher turnout, as discussed in previous studies. This result explains why welfare reform for the elderly has been very difficult, at least in Japan, despite (or, indeed, because of) considerable intergenerational inequality under the current system. At the same time, this result also shows that issue salience is not static but responds to media coverage, especially among young voters who would, otherwise, show less interest in the issue. In other words, lively public debate of the issue, covered by news media, can decrease the salience gap between the youth and the elderly.

  19. f

    Table2_Healthy Aging: Comparative Analysis of Local Perception and Diet in...

    • frontiersin.figshare.com
    docx
    Updated Jun 14, 2023
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    B. Bonfoh; B. V. Koné; Y. D. Koffi; T. Miyama; Y. Fujimoto; G. Fokou; J. Zinsstag; R. Sugimura; K. Makita (2023). Table2_Healthy Aging: Comparative Analysis of Local Perception and Diet in Two Health Districts of Côte d’Ivoire and Japan.DOCX [Dataset]. http://doi.org/10.3389/fragi.2022.817371.s002
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    docxAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    Frontiers
    Authors
    B. Bonfoh; B. V. Koné; Y. D. Koffi; T. Miyama; Y. Fujimoto; G. Fokou; J. Zinsstag; R. Sugimura; K. Makita
    License

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

    Area covered
    Côte d'Ivoire, Japan
    Description

    Context: Good health and longevity depend on dynamic interactions between biological, social, psychological, and environmental factors. Aging is globally a big challenge, particularly with the demographic transition, including population growth, and an emerging burden to society. Knowledge, behavior, diet, and consumption of animal source food were related to aging and emerged as the key factors modulating healthy aging.Objective: The study was designed to understand the main healthy aging factors, such as knowledge, social network, and diet of elders, and to derive mutual learning from it for healthy aging.Methods: A qualitative approach has been applied to explore health-related knowledge, attitude, and diet of elders from Ebetsu (Japan) and Tiassalé (Côte d’Ivoire) health districts, using focus group discussions and comparative context analysis between high- and low-income countries.Results: The study shows that living longer is a common feature of people in Japan compared to Côte d’Ivoire, where the life expectancy is still low. Both groups of elders have social networks that support them, and both offer their gained experience to society. While Japanese elders depend on pension and insurance for income and medical treatments, Ivorians depend mostly on their children and social network in old age. The worries of elders differ between the two regions. In Ebetsu, elder members of the community are concerned about the future burden they pose for the younger generation if they develop ill-health, making them more resilient to aging. In Taabo, elders are considered to be culturally and socially useful to the society. Elders in Ebetsu pointed out that for healthy aging, education on diet at a younger age, physical activities, and access to basic social services are the key aspects. This was not observed in Taabo’s context. Being inactive and dependent on others were described as the most worrying situations for elders in Ebetsu, as it is perceived to increase the risk of non-communicable diseases and anxiety. Elders in Ebetsu have good knowledge on what constitutes a healthy diet, and they believe that diversifying their diet, reducing portions, and substituting red meat with good animal and vegetable proteins are best eating practices to maintain good health. In Côte d’Ivoire, the diet is imbalanced and the whole family consumes the same meal made mainly with high-energy staples and little protein. However, it is observed in both societies that adopting a good diet is very expensive.Conclusion: The consciousness of aging is universal, but healthy aging varies according to the social systems, education, and knowledge on diet transition. Physical activities, protein–energy balance in diet, and social networks are the key for healthy aging in both contexts. The challenge is to find ways to increase knowledge regarding healthy aging and to strengthen the support system so that healthy aging becomes affordable.

  20. G

    Population ages 65 and above by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 13, 2016
    + more versions
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    Globalen LLC (2016). Population ages 65 and above by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/elderly_population/
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    excel, xml, csvAvailable download formats
    Dataset updated
    Nov 13, 2016
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    World, World
    Description

    The average for 2023 based on 196 countries was 10.17 percent. The highest value was in Monaco: 36.36 percent and the lowest value was in Qatar: 1.57 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

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Statista (2025). Percentage of population aged 65 years and older Japan 1960-2023 [Dataset]. https://www.statista.com/statistics/1149301/japan-share-of-population-aged-65-and-above/
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Percentage of population aged 65 years and older Japan 1960-2023

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Japan
Description

In 2023, people aged 65 years and older in Japan accounted for approximately **** percent of the total Japanese population. Due to a low birth rate and high longevity, people aged 65 years and older were estimated to make up almost ** percent of the population in Japan by 2070.

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