25 datasets found
  1. Age distribution of the population Japan 1950-2070

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Age distribution of the population Japan 1950-2070 [Dataset]. https://www.statista.com/statistics/606542/japan-age-distribution/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2023, around **** percent of the total population in Japan was aged 65 years and older. Due to a low birth rate and high longevity, people aged 65 years and over were estimated to make up approximately **** percent of the population in Japan by 2070. The share of children below 15 years old was expected to decrease to around *** percent by that year.

  2. Population development of Japan 0-2020

    • statista.com
    Updated Jul 11, 2024
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    Statista Research Department (2024). Population development of Japan 0-2020 [Dataset]. https://www.statista.com/topics/9347/pre-industrial-demographics/
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    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Throughout the Common Era, Japan's population saw relatively steady growth between each century. Failed invasions and distance from Asia's mainland meant that Japan was unaffected by many pandemics, primarily bubonic plague, therefore its development was not drastically impeded in the same way as areas such as China or Europe. Additionally, religious practices meant that hygiene was prioritized much more in Japan than in other regions, and dietary customs saw lower rates of meat consumption and regular boiling of water in meals or tea; both of these factors contributed to lower rates of infection for many parasitic or water-borne diseases. Fewer international conflicts and domestic stability also saw lower mortality in this regard, and Japan was an considered an outlier by Asian standards, as some shifting trends associated with the demographic transition (such as lower child mortality and fertility) began taking place in the 17th century; much earlier time than anywhere else in the world. Yet the most significant changes came in the 20th century, as Japan's advanced healthcare and sanitation systems saw drastic reductions in mortality. Challenges Japan's isolation meant that, when pandemics did arrive, the population had less protection and viruses could have higher mortality rates; smallpox has been cited as the deadliest of these pandemics, although increased international contact in the late 19th century brought new viruses, and population growth slowed. Earlier isolation also meant that crop failure or food shortages could leave large sections of the population vulnerable, and, as mentioned, the Japanese diet contained relatively little meat, therefore there was a higher reliance on crops and vegetables. It is believed that the shortage of arable land and the acidity of the soil due to volcanic activity meant that agriculture was more challenging in Japan than on the Asian mainland. For most of history, paddy fields were the most efficient source of food production in Japan, but the challenging nature of this form of agriculture and changes in employment trends gradually led to an increased reliance in imported crops. Post-Sakoku Japan Distance from the Asian mainland was not the only reason for Japan's isolation; from 1603 to 1853, under the Tokugawa shogunate, international trade was restricted, migration abroad was forbidden, and most foreign interaction was centered around Nagasaki. American neo-imperialism then forced Japan to open trade with the west, and Japan became an imperial power by the early-1900s. Japanese expansion began with a series of military victories against China and Russia at the turn of the century, and the annexation of Taiwan, Korea, and Manchuria by the 1930s, before things escalated further during its invasion of China and the Second World War. Despite its involvement in so many wars, the majority of conflicts involving Japan were overseas, therefore civilian casualties were much lower than those suffered by other Asian countries during this time. After Japan's defeat in 1945, its imperial ambitions were abandoned, it developed strong economic ties with the West, and had the fastest economic growth of any industrial country in the post-WWII period. Today, Japan is one of the most demographically advanced countries in the world, with the highest life expectancy in most years. However, its population has been in a steady decline for over a decade, and low fertility and an over-aged society are considered some of the biggest challenges to Japanese society today.

  3. Comparison of population growth rates in China, Japan, and Western Europe...

    • statista.com
    Updated Jul 11, 2024
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    Statista Research Department (2024). Comparison of population growth rates in China, Japan, and Western Europe 0-1998 [Dataset]. https://www.statista.com/topics/9347/pre-industrial-demographics/
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    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Throughout the Common Era, until the 18th century, Japan's average population growth rate was significantly higher that those of Europe or China. Japan's relative isolation meant that it was not subjected to the same devastating pandemics during this period (especially plague), which caused regular spikes in mortality across Eurasia. During the period between 1700 and 1850, China and Western Europe's growth rates rose significantly due to improvements in food supply, water treatment, and more infrequent pandemics; as well as the spread of vaccination in Europe. In the late-19th and 20th centuries, population growth was high in all three regions, due to the onset of the demographic transition.

  4. Number of foreign residents Japan 2015-2024

    • statista.com
    • tokrwards.com
    Updated Jun 26, 2025
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    Statista (2025). Number of foreign residents Japan 2015-2024 [Dataset]. https://www.statista.com/statistics/687809/japan-foreign-residents-total-number/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2024, approximately **** million residents of foreign nationality were registered in Japan, making up below ***** percent of the population. The total number of foreign residents increased by about ****million in the last decade. Development of immigration to Japan Except for a large minority of people of Korean descent who have lived in Japan since the first half of the twentieth century, immigration of people from other countries did not become an issue in Japan until the 1980s when the economy required more labor. A revision of the Immigration Control and Refugee Recognition Act in 1990 allowed people of Japanese descent, so-called "nikkeijin," to enter the country and work without restrictions. The nikkeijin who entered Japan in the years that followed mainly came from Brazil and other South American countries. Chinese immigration increased as well throughout the 1990s and early 2000s. A breakdown of foreign residents by major nationalities shows that ********immigrants overtook ******* as the largest minority group in 2007. People from ******* were the strongest growing minority in the 2010s. Recent immigration reform Due to its demographic changes, Japan has a relatively low unemployment rate. As a consequence, a large share of companies report labor shortages. The temporary immigration of foreign workers is considered one of the possible solutions to this problem, next to the increasing labor market participation of women and the elderly. In 2019, the Japanese government enacted a major immigration reform. The reform allowed lower- and semi-skilled workers to enter the country and work in one of 14 different industries suffering from a lack of labor. The vast majority of participants are not allowed to bring their family members and are expected to return to their respective countries after their terms in Japan end.

  5. d

    Colony-level coral demographic data from Japan & Australia (2016-2019)

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Jun 22, 2023
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    James Cant; James Reimer; Brigitte Sommer; Katie Cook; Sun Kim; Carrie Sims; Takuma Mezaki; Cliodhna O'Flaherty; Maxime Brooks; Hamish Malcolm; John Pandolfi; Roberto Salguero-Gómez; Maria Beger (2023). Colony-level coral demographic data from Japan & Australia (2016-2019) [Dataset]. http://doi.org/10.5061/dryad.w0vt4b8xd
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    zipAvailable download formats
    Dataset updated
    Jun 22, 2023
    Dataset provided by
    Dryad
    Authors
    James Cant; James Reimer; Brigitte Sommer; Katie Cook; Sun Kim; Carrie Sims; Takuma Mezaki; Cliodhna O'Flaherty; Maxime Brooks; Hamish Malcolm; John Pandolfi; Roberto Salguero-Gómez; Maria Beger
    Time period covered
    Jun 19, 2023
    Area covered
    Australia, Japan
    Description

    The raw data is provided as a csv file arranged in a stacked format with each row detailing the demographic transitions recorded for an individual colony across a single annual interval (i.e., 2016 to 2017). The first 11 columns of the dataset outline each colonies associated metadata such as location (Country, ecoregion etc.), colony identity (e.g. Plot number), taxonomy (to species level where possible), and life history classification (LHS). The remaining columns then describe each colonies recorded demographic transitions as follows: time.t = 'Starting year of corresponding annual interval' Fragment.t = 'was the colony a product of fragmentation during the previous year' (Yes/No/NA) Bleaching.t = 'Bleaching state at time t' (None/Slight/Moderate/Severe/NA) Size.t = 'Colony size recorded at time t' (is NA if colony recruited between time t and t+1) time.t1 = 'Ending year of corresponding annual interval' No.frag.t1 = 'Number of fragments produced by colo...

  6. Descriptive statistics for the clusters composed of at least ten cells.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
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    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda (2023). Descriptive statistics for the clusters composed of at least ten cells. [Dataset]. http://doi.org/10.1371/journal.pone.0197144.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda
    License

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

    Description

    Descriptive statistics for the clusters composed of at least ten cells.

  7. The selected model.

    • plos.figshare.com
    xls
    Updated Jun 17, 2023
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    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda (2023). The selected model. [Dataset]. http://doi.org/10.1371/journal.pone.0197144.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 17, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda
    License

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

    Description

    The selected model.

  8. 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.

  9. f

    Reconstructing the population history of the sandy beach amphipod...

    • figshare.com
    pdf
    Updated Jun 1, 2023
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    Kay Sakuma; Risa Ishida; Taketoshi Kodama; Yoshitake Takada (2023). Reconstructing the population history of the sandy beach amphipod Haustorioides japonicus using the calibration of demographic transition (CDT) approach [Dataset]. http://doi.org/10.1371/journal.pone.0223624
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kay Sakuma; Risa Ishida; Taketoshi Kodama; Yoshitake Takada
    License

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

    Description

    Calibration of the molecular rate is one of the major challenges in marine population genetics. Although the use of an appropriate evolutionary rate is crucial in exploring population histories, calibration of the rate is always difficult because fossil records and geological events are rarely applicable for rate calibration. The acceleration of the evolutionary rate for recent coalescent events (or more simply, the time dependency of the molecular clock) is also a problem that can lead to overestimation of population parameters. Calibration of demographic transition (CDT) is a rate calibration technique that assumes a post-glacial demographic expansion, representing one of the most promising approaches for dealing with these potential problems in the rate calibration. Here, we demonstrate the importance of using an appropriate evolutionary rate, and the power of CDT, by using populations of the sandy beach amphipod Haustorioides japonicus along the Japanese coast of the northwestern Pacific Ocean. Analysis of mitochondrial sequences found that the most peripheral population in the Pacific coast of northeastern Honshu Island (Tohoku region) is genetically distinct from the other northwestern Pacific populations. By using the two-epoch demographic model and rate of temperature change, the evolutionary rate was modeled as a log-normal distribution with a median rate of 2.2%/My. The split-time of the Tohoku population was subsequently estimated to be during the previous interglacial period by using the rate distribution, which enables us to infer potential causes of the divergence between local populations along the continuous Pacific coast of Japan.

  10. g

    Statistics Bureau, Population; Population Change; Area and Population...

    • geocommons.com
    Updated Jun 24, 2008
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    Burkey (2008). Statistics Bureau, Population; Population Change; Area and Population Density, Japan, 2000-2005 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jun 24, 2008
    Dataset provided by
    Burkey
    Statistics Bureau, Ministry of Internal Affairs and Communications
    Description

    This dataset displays data from the 2005 Census of Japan. It displays population, population change, area, and population density of the 47 prefectures in Japan. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau

  11. Crude birth rate in selected regions 1820-2024

    • statista.com
    Updated Jul 11, 2024
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    Aaron O'Neill (2024). Crude birth rate in selected regions 1820-2024 [Dataset]. https://www.statista.com/topics/9347/pre-industrial-demographics/
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    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Aaron O'Neill
    Description

    For most of the past two centuries, falling birth rates have been associated with societal progress. During the demographic transition, where pre-industrial societies modernize in terms of fertility and mortality, falling death rates, especially among infants and children, are the first major change. In response, as more children survive into adulthood, women have fewer children as the need to compensate for child mortality declines. This transition has happened at different times across the world and is an ongoing process, with early industrial countries being the first to transition, and Sub-Saharan African countries being the most recent to do so. Additionally, some Asian countries (particularly China through government policy) have gone through their demographic transitions at a much faster pace than those deemed more developed. Today, in countries such as Japan, Italy, and Germany, birth rates have fallen well below death rates; this is no longer considered a positive demographic trend, as it leads to natural population decline, and may create an over-aged population that could place a burden on healthcare systems.

  12. d

    Data from: Historical changes in grassland area determined the demography of...

    • dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Jun 30, 2025
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    Naoyuki Nakahama; Kei Uchida; Atushi Ushimaru; Yuji Isagi (2025). Historical changes in grassland area determined the demography of semi-natural grassland butterflies in Japan [Dataset]. http://doi.org/10.5061/dryad.66471
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    Dataset updated
    Jun 30, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Naoyuki Nakahama; Kei Uchida; Atushi Ushimaru; Yuji Isagi
    Time period covered
    Jan 1, 2018
    Area covered
    Japan
    Description

    Semi-natural grassland areas expanded worldwide several thousand years ago following an increase in anthropogenic activities. However, semi-natural grassland habitat areas have been declining in recent decades due to changes in landuse, which have caused a loss of grassland biodiversity. Reconstructing historical and recent demographic changes in semi-natural grassland species will help clarify the factors affecting their population decline. Here, we quantified past and recent demographic histories of Melitaea ambigua (Lepidoptera; Nymphalidae), an endangered grassland butterfly species in Japan. We examined changes in demography over the past 10,000 years based on 1,378 bp of mitochondrial COI gene. We then examined changes in its genetic diversity and structure during the last 30 years using nine microsatellite DNA markers. The effective population size of M. ambigua increased about 3,000 to 6,000 years ago. In contrast, the genetic diversity and effective population sizes of many pop...

  13. f

    Dummy.

    • plos.figshare.com
    zip
    Updated Jun 16, 2023
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    Ryo Oizumi; Hisashi Inaba; Takenori Takada; Youichi Enatsu; Kensaku Kinjo (2023). Dummy. [Dataset]. http://doi.org/10.1371/journal.pone.0273817.s001
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    zipAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ryo Oizumi; Hisashi Inaba; Takenori Takada; Youichi Enatsu; Kensaku Kinjo
    License

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

    Description

    Text A, Representation theorem for a right eigenvector of an irreducible non-negative matrix. Text B, Theorem for infinite series expansion of characteristic equation. Text C, Original definition of type-reproduction number. Text D, Extension theorem of type-reproduction number. (ZIP)

  14. Number of passengers carried via commercial buses in Japan FY 2015-2024

    • tokrwards.com
    • statista.com
    Updated Sep 29, 2025
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    Statista Research Department (2025). Number of passengers carried via commercial buses in Japan FY 2015-2024 [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F4669%2Fpublic-transportation-in-japan%2F%23D%2FIbH0Phabzc8oKQxRXLgxTyDkFTtCs%3D
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    Dataset updated
    Sep 29, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Japan
    Description

    In the fiscal year 2024, the number of passengers carried via public buses in Japan amounted to around 4.03 billion, increasing from roughly 4.02 billion in the previous year. Buses are an alternative land transportation system in Japan, supplementing rapid transit in the cities and Shinkansen bullet trains for long-distance travel. The weight of demographic change dragging down profitability With operating revenue and passenger numbers decreasing in rural areas, bus associations in Japan keep pointing out the dire business conditions they face. In the countryside, the industry struggles with the impact of Japan’s demographic change: a low birthrate and a rapidly aging population. Since the few young people in rural areas tend to move into the cities, while the older and less mobile generations stay, the effects of this demographic change become even more accentuated. Areas depopulate, demand shrinks, bus lines become unprofitable, and businesses need to adapt their services. Bus businesses have been writing red numbers within the last decade. Only in major cities have a few of them been profitable in some years. Mobility-as-a-Service (MaaS): A chance for regional revitalization? The basic idea of MaaS is a mobility concept where various means of public transportation pool their data so users can access these services optimal to their personal needs, ideally booking and paying via a single smartphone application. Worldwide, the MaaS and the shared mobility market are expected to increase rapidly. In Japan, the government-backed initiative called ‘SmartMobility Challenge’ regards MaaS mainly as a way to tackle the problems posed by demographic change. Yearly, the Ministry of Land, Infrastructure, Transport, and Tourism (MLIT) and the Ministry of Economy, Trade, and Industry (METI) select regions for subsidized pilot experiments tailored to local needs. The outcomes will also signify how successfully Japan implements key technologies, such as autonomous driving, the Internet of Things, or artificial intelligence.

  15. s

    Japan 100m Urban change

    • eprints.soton.ac.uk
    Updated May 5, 2023
    + more versions
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    WorldPop, (2023). Japan 100m Urban change [Dataset]. http://doi.org/10.5258/SOTON/WP00119
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Japan
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

  16. Pearson correlation coefficient between the independent variables for the...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
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    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda (2023). Pearson correlation coefficient between the independent variables for the clusters with at least ten cells observed in 2005. [Dataset]. http://doi.org/10.1371/journal.pone.0197144.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda
    License

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

    Description

    Pearson correlation coefficient between the independent variables for the clusters with at least ten cells observed in 2005.

  17. Kendall rank correlation coefficient between the independent variables for...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 2, 2023
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    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda (2023). Kendall rank correlation coefficient between the independent variables for the clusters with at least ten cells observed in 2005. [Dataset]. http://doi.org/10.1371/journal.pone.0197144.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda
    License

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

    Description

    Kendall rank correlation coefficient between the independent variables for the clusters with at least ten cells observed in 2005.

  18. Spearman rank correlation coefficient between the independent variables for...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 3, 2023
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    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda (2023). Spearman rank correlation coefficient between the independent variables for the clusters with at least ten cells observed in 2005. [Dataset]. http://doi.org/10.1371/journal.pone.0197144.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Takuya Sekiguchi; Kohei Tamura; Naoki Masuda
    License

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

    Description

    Spearman rank correlation coefficient between the independent variables for the clusters with at least ten cells observed in 2005.

  19. Change in number of people outside in different areas due to COVID-19 Japan...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Change in number of people outside in different areas due to COVID-19 Japan 2020 [Dataset]. https://www.statista.com/statistics/1113046/japan-population-change-coronavirus-different-areas/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    After the Japanese government declared a state of emergency on ******* due to the spread of the coronavirus disease (COVID-19), the number of people going outside declined significantly across Japan. As of ***************, the number of people in Shibuya area in the center of Tokyo Prefecture was down by approximately ** percent compared to January and February, when the number of infection cases were relatively low. When compared to right after the declaration on ******* at * pm, the number of people outside increased by around ** percent in the area.

    Tokyo has been the prefecture with the highest number of COVID-19 patients since the end of **********. On ******, the government lifted the state of emergency in all ** prefectures in the country. The Tokyo prefectural government lifted the business suspension request as well for almost all the businesses on *******.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  20. Global life expectancy from birth in selected regions 1000-2020

    • statista.com
    Updated Jul 11, 2024
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    Aaron O'Neill (2024). Global life expectancy from birth in selected regions 1000-2020 [Dataset]. https://www.statista.com/topics/9347/pre-industrial-demographics/
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    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Aaron O'Neill
    Description

    Throughout most of history, average life expectancy from birth was fairly consistent across the globe, at around 24 years. A major contributor to this was high rates of infant and child mortality; those who survived into adulthood could expect to live to their 50s or 60s, yet pandemics, food instability, and conflict did cause regular spikes in mortality across the entire population. Gradually, from the 16th to 19th centuries, there was some growth in more developed societies, due to improvements in agriculture, infrastructure, and medical knowledge. However, the most significant change came with the introduction of vaccination and other medical advances in the 1800s, which saw a sharp decline in child mortality and the onset of the demographic transition. This phenomenon began in more developed countries in the 1800s, before spreading to Latin America, Asia, and (later) Africa in the 1900s. As the majority of the world's population lives in countries considered to be "less developed", this figure is much closer to the global average. However, today, there is a considerable difference in life expectancies across these countries, ranging from 84.7 years in Japan to 53 years in the Central African Republic.

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Link copied
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Statista (2025). Age distribution of the population Japan 1950-2070 [Dataset]. https://www.statista.com/statistics/606542/japan-age-distribution/
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Age distribution of the population Japan 1950-2070

Explore at:
Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Japan
Description

In 2023, around **** percent of the total population in Japan was aged 65 years and older. Due to a low birth rate and high longevity, people aged 65 years and over were estimated to make up approximately **** percent of the population in Japan by 2070. The share of children below 15 years old was expected to decrease to around *** percent by that year.

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