55 datasets found
  1. d

    Data from: Comparison of performance-based measures among native Japanese,...

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Sep 6, 2025
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    National Institutes of Health (2025). Comparison of performance-based measures among native Japanese, Japanese-Americans in Hawaii and Caucasian women in the United States, ages 65 years and over: a cross-sectional study [Dataset]. https://catalog.data.gov/dataset/comparison-of-performance-based-measures-among-native-japanese-japanese-americans-in-hawai
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    Dataset updated
    Sep 6, 2025
    Dataset provided by
    National Institutes of Health
    Area covered
    Hawaii, Japan, United States
    Description

    Background Japanese (both in Japan and Hawaii) have a lower incidence of falls and of hip fracture than North American and European Caucasians, but the reasons for these differences are not clear. Subjects and Methods A cross-sectional study. We compared neuromuscular risk factors for falls using performance-based measures (chair stand time, usual and rapid walking speed, and grip strength) among 163 Japanese women in Japan, 681 Japanese-American women in Hawaii and 9403 Caucasian women in the United States aged 65 years and over. Results After adjusting for age, the Caucasian women required about 40% more time to complete 5 chair stands than either group of Japanese. Walking speed was about 10% slower among Caucasians than native Japanese, whereas Japanese-American women in Hawaii walked about 11% faster than native Japanese. Grip strength was greatest in Japan, which may reflect the rural farming district that this sample was drawn from. Additional adjustment for height, weight or body mass index increased the adjusted means of chair stand time and grip strength among Japanese, but the differences remained significant. Conclusions Both native Japanese and Japanese-American women in Hawaii performed better than Caucasians on chair stand time and walking speed tests, and native Japanese had greater grip strength than Japanese in Hawaii and Caucasians. The biological implications of these differences in performance are uncertain, but may be useful in planning future comparisons between populations.

  2. 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
    Statistics Bureau, Ministry of Internal Affairs and Communications
    Burkey
    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

  3. g

    Statistics Bureau, Private Households: Members and Members per Household,...

    • geocommons.com
    Updated Jun 30, 2008
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    Burkey (2008). Statistics Bureau, Private Households: Members and Members per Household, Japan, 2005 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jun 30, 2008
    Dataset provided by
    Statistics Bureau, Ministry of Internal Affairs and Communications
    Burkey
    Description

    This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Private Households, Number of Private Household Members, and Average number of Members per Private Household. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

  4. J

    Japan JP: Refugee Population: by Country or Territory of Asylum

    • ceicdata.com
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    CEICdata.com, Japan JP: Refugee Population: by Country or Territory of Asylum [Dataset]. https://www.ceicdata.com/en/japan/population-and-urbanization-statistics/jp-refugee-population-by-country-or-territory-of-asylum
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    Dataset provided by
    CEICdata.com
    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: Refugee Population: by Country or Territory of Asylum data was reported at 2,189.000 Person in 2017. This records a decrease from the previous number of 2,514.000 Person for 2016. Japan JP: Refugee Population: by Country or Territory of Asylum data is updated yearly, averaging 2,617.500 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 6,819.000 Person in 1990 and a record low of 1,794.000 Person in 2007. Japan JP: Refugee Population: by Country or Territory of Asylum 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. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  5. J

    Japan JP: Refugee Population: by Country or Territory of Origin

    • ceicdata.com
    Updated Apr 15, 2018
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    CEICdata.com (2018). Japan JP: Refugee Population: by Country or Territory of Origin [Dataset]. https://www.ceicdata.com/en/japan/population-and-urbanization-statistics/jp-refugee-population-by-country-or-territory-of-origin
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    Dataset updated
    Apr 15, 2018
    Dataset provided by
    CEICdata.com
    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: Refugee Population: by Country or Territory of Origin data was reported at 53.000 Person in 2016. This records a decrease from the previous number of 145.000 Person for 2015. Japan JP: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 21.000 Person from Dec 1994 (Median) to 2016, with 23 observations. The data reached an all-time high of 521.000 Person in 2007 and a record low of 2.000 Person in 1997. Japan JP: Refugee Population: by Country or Territory of Origin 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. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  6. g

    Statistics Bureau, Male Population by Age in selected Prefectures, Japan,...

    • geocommons.com
    Updated Jun 25, 2008
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    Burkey (2008). Statistics Bureau, Male Population by Age in selected Prefectures, Japan, 2005 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jun 25, 2008
    Dataset provided by
    Statistics Bureau, Ministry of Internal Affairs and Communications
    Burkey
    Description

    This dataset displays data from the 2005 Census of Japan. It displays male population by age, selected age ranges, percentages of age ranges, average average, and median age in the selected prefectures in Japan for the year 2005. Only 30 of the 47 prectures were displayed in the data source. There are also 2 other datasets that break this data up by total and female figures. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

  7. h

    japanese-image-classification-evaluation-dataset

    • huggingface.co
    Updated Jan 26, 2024
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    Recruit Co., Ltd. (2024). japanese-image-classification-evaluation-dataset [Dataset]. https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 26, 2024
    Dataset authored and provided by
    Recruit Co., Ltd.
    License

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

    Description

    recruit-jp/japanese-image-classification-evaluation-dataset

      Overview
    

    Developed by: Recruit Co., Ltd. Dataset type: Image Classification Language(s): Japanese LICENSE: CC-BY-4.0

    More details are described in our tech blog post.

    日本語CLIP学習済みモデルとその評価用データセットの公開

      Dataset Details
    

    This dataset is comprised of four image classification tasks related to concepts and things unique to Japan. Specifically, is consists of the following tasks.

    jafood101: Image… See the full description on the dataset page: https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset.

  8. g

    Statistics Bureau, Population by Sex and Households by Type of Household,...

    • geocommons.com
    Updated Jun 24, 2008
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    Burkey (2008). Statistics Bureau, Population by Sex and Households by Type of Household, Japan, 2005 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jun 24, 2008
    Dataset provided by
    Statistics Bureau, Ministry of Internal Affairs and Communications
    Burkey
    Description

    This dataset displays data from the 2005 Census of Japan. It displays population by sex and households by type in the 47 prefectures in Japan. The data also breaks the data down by shi (cities) and gun(districts) within the prefecture. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

  9. n

    Nihon University Japanese Longitudinal Study of Aging

    • neuinfo.org
    • rrid.site
    • +2more
    Updated Aug 10, 2025
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    (2025). Nihon University Japanese Longitudinal Study of Aging [Dataset]. http://identifiers.org/RRID:SCR_008974
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    Dataset updated
    Aug 10, 2025
    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

  10. e

    European Community-Japanese Relations - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Aug 14, 2018
    + more versions
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    (2018). European Community-Japanese Relations - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/9fff74ba-9ce6-5492-bc2c-20118a173270
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    Dataset updated
    Aug 14, 2018
    Area covered
    Europe, European Union, Japan
    Description

    The image of Europe in Japan. Topics: degree of familiarity of ASEAN, EC and UN; characterization of the European Community as political, economic union or business union; comparison of size of population of the EC with the USA; comparison of standard of living of the EC citizens with that of the Japanese; comparison of the Japanese trade volume with the EC and the United States; knowledge about EC member countries; knowledge about the project ´Europe 92´; expected effects of this project on the relations between Japan and Western Europe; welcoming a closer cooperation between the EC and Japan in the areas culture, technical research, energy, political cooperation, environment and trade; preferred media (television news, seminars, publications etc.) about Europe; most important topics for increased information about occurrences in the EC; most important sources of information about the European Community; judgement on the United States, the European Community and the ASEAN members as fair trading partners. Das Bild Europas in Japan. Themen: Bekanntheitsgrad von ASEAN, EG und UN; Charakterisierung der Europäischen Gemeinschaft als politische, ökonomische Vereinigung oder Handelsunion; Vergleich der Größe der Population der EG mit den USA; Vergleich des Lebensstandards der EG-Bürger mit dem der Japaner; Vergleich des japanischen Handelsvolumens mit der EG und den Vereinigten Staaten; Kenntnis der EG-Mitgliedsländer; Kenntnis des Projekts ´Europa 92´; erwartete Auswirkungen dieses Projekts auf die Beziehungen zwischen Japan und Westeuropa; Begrüßung einer engeren Kooperation zwischen der EG und Japan in den Bereichen Kultur, technische Forschung, Energie, politische Kooperation, Umwelt und Handel; präferierte Medien (Fernsehnachrichten, Seminare, Veröffentlichungen usw.) über Europa; wichtigste Themen für eine vermehrte Information über Vorgänge in der EG; wichtigste Informationsquellen über die Europäische Gemeinschaft; Beurteilung der Vereinigten Staaten, der Europäischen Gemeinschaft und der ASEAN-Mitglieder als faire Handelspartner. Demographie: Alter; Geschlecht; Schulbildung; Berufstätigkeit; Haushaltseinkommen; Ortsgröße.

  11. h

    JapaneseGoblin

    • huggingface.co
    Updated Aug 5, 2023
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    RyokoAI Extra (2023). JapaneseGoblin [Dataset]. https://huggingface.co/datasets/RyokoExtra/JapaneseGoblin
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 5, 2023
    Dataset authored and provided by
    RyokoAI Extra
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset Card for JapaneseGoblin

    WE ARE THE JAPANESE GOBLIN!

      Dataset Summary
    

    JapaneseGoblin is a dump of en.touhouwiki.net wiki.

      Supported Tasks and Leaderboards
    

    This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes.

    text-classification text-generation

      Languages
    

    Primarily english, however there are also japanese as well.

      Dataset Structure
    

    All the articles are… See the full description on the dataset page: https://huggingface.co/datasets/RyokoExtra/JapaneseGoblin.

  12. d

    Liquefaction observations from ten earthquakes in the US, Japan, China, and...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Liquefaction observations from ten earthquakes in the US, Japan, China, and Taiwan [Dataset]. https://catalog.data.gov/dataset/liquefaction-observations-from-ten-earthquakes-in-the-us-japan-china-and-taiwan
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Taiwan, China, United States, Japan
    Description

    These data include observations of liquefaction from ten earthquakes. The data are provided as a feature collection in a GeoJSON file format. Individual features are either points or polygons. Each feature has a single attribute called "earthquake" which gives the name and year of the earthquake associated with the liquefaction feature.

  13. d

    Replication Data for: Opposition to Women Political Leaders: Gender Bias and...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Endo, Yuya (2023). Replication Data for: Opposition to Women Political Leaders: Gender Bias and Stereotypes of Politicians among Japanese Voters [Dataset]. http://doi.org/10.7910/DVN/VHFYWX
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Endo, Yuya
    Description

    Women are extremely underrepresented in Japanese political life. One possible reason for this is that voters are biased against women. Compared to American voters, to what extent are Japanese voters opposed to women political leaders? What kinds of stereotypes do they have about women politicians? To answer these questions and probe the external validity of American studies on this topic, we conducted a survey that elicits respondents’ attitudes toward women political leaders. First, our list experiment outcomes revealed that approximately 10% of Japanese, and 20% of the Liberal Democratic Party (LDP) supporters, oppose a woman becoming prime minister. Second, we also identified respondents’ gender stereotypes by asking them directly about their impressions of politicians, which revealed that Japanese voters have strong stereotypes for men and women politicians regarding their policy areas of expertise and personal characteristics. These stereotypes are strongest among men and older voters as well as voters who support the LDP. Our findings have broad implications for the literature on gender and politics beyond the study of Japanese politics.

  14. g

    Statistics Bureau, Private Households Issued Housing: Members and Size of...

    • geocommons.com
    Updated Jul 1, 2008
    + more versions
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    Burkey (2008). Statistics Bureau, Private Households Issued Housing: Members and Size of Household, Japan, 2005 [Dataset]. http://geocommons.com/search.html
    Explore at:
    Dataset updated
    Jul 1, 2008
    Dataset provided by
    Statistics Bureau, Ministry of Internal Affairs and Communications
    Burkey
    Description

    This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Rented Households Issued Housing, Number of Rented Households Issued Housing Members, Average number of Members per Rented Households Issued Housing, Area of Floor Space per Household of Rented Households Issued Housing, and Area of Floor Space per Person of Rented Households Issued Housing. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

  15. m

    Net_Bilateral_Aid_Japan_to_Mexico

    • macro-rankings.com
    csv, excel
    Updated Aug 7, 2025
    + more versions
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    macro-rankings (2025). Net_Bilateral_Aid_Japan_to_Mexico [Dataset]. https://www.macro-rankings.com/japan/net-bilateral-aid/mexico
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    csv, excelAvailable download formats
    Dataset updated
    Aug 7, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Japan
    Description

    Time series data for the statistic Net_Bilateral_Aid_Japan_to_Mexico. Indicator Definition:Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.The indicator "Net bilateral aid flows from a DAC donor (US$)" stands at 23.03 Million usd as of 12/31/2022. Regarding the One-Year-Change of the series, the current value constitutes an increase of 17.93 Million compared to the value the year prior.The Serie's long term average value is 13.17 Million usd. It's latest available value, on 12/31/2022, is 9.86 Million higher, compared to it's long term average value.The Serie's change from it's minimum value, on 12/31/2015, to it's latest available value, on 12/31/2022, is +148.90 Million.The Serie's change from it's maximum value, on 12/31/1995, to it's latest available value, on 12/31/2022, is -265.26 Million.

  16. Mini Data Center Market Analysis North America, APAC, Europe, South America,...

    • technavio.com
    pdf
    Updated May 17, 2024
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    Technavio (2024). Mini Data Center Market Analysis North America, APAC, Europe, South America, Middle East and Africa - US, China, Japan, UK, Germany - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/mini-data-center-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    May 17, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    Germany, United Kingdom, China, Japan, United States
    Description

    Snapshot img

    Mini Data Center Market Size 2024-2028

    The mini data center market size is forecast to increase by USD 8.68 billion, at a CAGR of 21.68% between 2023 and 2028.

    The market is experiencing significant growth, driven by the increasing demand from Small and Medium Enterprises (SMEs) for reliable and efficient data storage solutions. This trend is further fueled by the growing need for edge computing, which requires data processing to occur closer to the source, reducing latency and enhancing responsiveness. However, the market faces a notable challenge: the lack of awareness and understanding among businesses regarding the benefits and implementation of mini data centers. This obstacle presents an opportunity for market participants to educate potential clients and demonstrate the value proposition of mini data centers in addressing their specific data management needs.
    Companies that successfully navigate this challenge and effectively communicate the advantages of mini data centers will be well-positioned to capitalize on the market's potential for growth.
    

    What will be the Size of the Mini Data Center Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
    Request Free Sample

    The market continues to evolve, driven by the ever-increasing demand for reliable and efficient IT infrastructure. Businesses across various sectors are adopting modular data centers to address their unique requirements, from server consolidation and disaster recovery to network optimization and capacity planning. These data centers incorporate advanced technologies such as redundant power supplies, precision cooling, and remote monitoring, seamlessly integrated into their design. Mini data centers come in various forms, including micro data centers and edge data centers, catering to the diverse needs of organizations. Their modular design allows for easy deployment, scalability, and flexibility, making them an attractive option for businesses seeking to minimize their carbon footprint and optimize operational efficiency.

    Data center construction and lifecycle management are crucial aspects of mini data center operations. From site selection and network infrastructure to HVAC systems and energy efficiency, every detail is meticulously planned and executed to ensure high availability and reliability. As the market continues to unfold, we see the integration of innovative technologies such as network virtualization, liquid cooling, and data center relocation services. These advancements enable businesses to optimize their IT infrastructure, reduce energy consumption, and enhance their overall IT infrastructure's performance and security. Maintenance services and support contracts are essential components of mini data center management, ensuring the seamless operation of these complex systems.

    Capacity planning and space optimization are also critical considerations, as businesses look to maximize their investment in IT infrastructure while minimizing costs and ensuring business continuity. The market's continuous dynamism is reflected in its ongoing evolution, with new technologies and applications emerging regularly. From rackmount servers and blade servers to fiber optic cables and ethernet switches, the market's diverse offerings cater to the ever-changing needs of businesses in various sectors. In conclusion, the market's ongoing evolution is driven by the need for reliable, efficient, and flexible IT infrastructure. From server consolidation and disaster recovery to network optimization and capacity planning, mini data centers offer businesses a range of solutions to meet their unique requirements.

    With a focus on energy efficiency, operational efficiency, and carbon footprint reduction, these data centers are an essential component of modern IT infrastructure.

    How is this Mini Data Center Industry segmented?

    The mini data center industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Type
    
      Containerized data centers
      Micro data centers
    
    
    Business Segment
    
      SMEs
      Large enterprises
    
    
    Geography
    
      North America
    
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        China
        Japan
    
    
      Rest of World (ROW)
    

    By Type Insights

    The containerized data centers segment is estimated to witness significant growth during the forecast period.

    Containerized modular data centers are gaining prominence in the business landscape, serving as crucial infrastructure for edge computing and disaster recovery applications. As companies strive for operational efficiency and expansion, the demand for reliable data centers with robust storage and processing capacities is escalat

  17. m

    Net_Bilateral_Aid_Japan_to_Costa_Rica

    • macro-rankings.com
    csv, excel
    Updated Aug 23, 2025
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    macro-rankings (2025). Net_Bilateral_Aid_Japan_to_Costa_Rica [Dataset]. https://www.macro-rankings.com/japan/net-bilateral-aid/costa-rica
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 23, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Japan
    Description

    Time series data for the statistic Net_Bilateral_Aid_Japan_to_Costa_Rica. Indicator Definition:Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.The indicator "Net bilateral aid flows from a DAC donor (US$)" stands at -8.68 Million usd as of 12/31/2022, the lowest value since 12/31/1997. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -2.75 Million compared to the value the year prior.The Serie's long term average value is 7.84 Million usd. It's latest available value, on 12/31/2022, is -16.52 Million lower, compared to it's long term average value.The Serie's change from it's minimum value, on 12/31/1996, to it's latest available value, on 12/31/2022, is +8.81 Million.The Serie's change from it's maximum value, on 12/31/2010, to it's latest available value, on 12/31/2022, is -72.42 Million.

  18. m

    Net_Bilateral_Aid_Japan_to_Turkmenistan

    • macro-rankings.com
    csv, excel
    Updated Aug 7, 2025
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    macro-rankings (2025). Net_Bilateral_Aid_Japan_to_Turkmenistan [Dataset]. https://www.macro-rankings.com/japan/net-bilateral-aid/turkmenistan
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 7, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Japan
    Description

    Time series data for the statistic Net_Bilateral_Aid_Japan_to_Turkmenistan. Indicator Definition:Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.The indicator "Net bilateral aid flows from a DAC donor (US$)" stands at -1.25 Million usd as of 12/31/2022. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -2.46 Million compared to the value the year prior.The Serie's long term average value is 0.957 Million usd. It's latest available value, on 12/31/2022, is -2.21 Million lower, compared to it's long term average value.The Serie's change from it's minimum value, on 12/31/2012, to it's latest available value, on 12/31/2022, is +0.96 Million.The Serie's change from it's maximum value, on 12/31/2001, to it's latest available value, on 12/31/2022, is -17.67 Million.

  19. Data Wrangling Market Analysis North America, Europe, APAC, Middle East and...

    • technavio.com
    pdf
    Updated Oct 4, 2024
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    Technavio (2024). Data Wrangling Market Analysis North America, Europe, APAC, Middle East and Africa, South America - US, UK, Germany, China, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/data-wrangling-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 4, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    United Kingdom, United States
    Description

    Snapshot img

    Data Wrangling Market Size 2024-2028

    The data wrangling market size is forecast to increase by USD 1.4 billion at a CAGR of 14.8% between 2023 and 2028. The market is experiencing significant growth due to the numerous benefits provided by data wrangling solutions, including data cleaning, transformation, and enrichment. One major trend driving market growth is the rising need for technology such as the competitive intelligence and artificial intelligence in the healthcare sector, where data wrangling is essential for managing and analyzing patient data to improve patient outcomes and reduce costs. However, a challenge facing the market is the lack of awareness of data wrangling tools among small and medium-sized enterprises (SMEs), which limits their ability to effectively manage and utilize their data. Despite this, the market is expected to continue growing as more organizations recognize the value of data wrangling in driving business insights and decision-making.

    What will be the Size of the Market During the Forecast Period?

    Request Free Sample

    The market is experiencing significant growth due to the increasing demand for data management and analysis in various industries. The market is experiencing significant growth due to the increasing volume, variety, and velocity of data being generated from various sources such as IoT devices, financial services, and smart cities. Artificial intelligence and machine learning technologies are being increasingly used for data preparation, data cleaning, and data unification. Data wrangling, also known as data munging, is the process of cleaning, transforming, and enriching raw data to make it usable for analysis. This process is crucial for businesses aiming to gain valuable insights from their data and make informed decisions. Data analytics is a primary driver for the market, as organizations seek to extract meaningful insights from their data. Cloud solutions are increasingly popular for data wrangling due to their flexibility, scalability, and cost-effectiveness.

    Furthermore, both on-premises and cloud-based solutions are being adopted by businesses to meet their specific data management requirements. Multi-cloud strategies are also gaining traction in the market, as organizations seek to leverage the benefits of multiple cloud providers. This approach allows businesses to distribute their data across multiple clouds, ensuring business continuity and disaster recovery capabilities. Data quality is another critical factor driving the market. Ensuring data accuracy, completeness, and consistency is essential for businesses to make reliable decisions. The market is expected to grow further as organizations continue to invest in big data initiatives and implement advanced technologies such as AI and ML to gain a competitive edge. Data cleaning and data unification are key processes in data wrangling that help improve data quality. The finance and insurance industries are major contributors to the market, as they generate vast amounts of data daily.

    In addition, real-time analysis is becoming increasingly important in these industries, as businesses seek to gain insights from their data in near real-time to make informed decisions. The Internet of Things (IoT) is also driving the market, as businesses seek to collect and analyze data from IoT devices to gain insights into their operations and customer behavior. Edge computing is becoming increasingly popular for processing IoT data, as it allows for faster analysis and decision-making. Self-service data preparation is another trend in the market, as businesses seek to empower their business users to prepare their data for analysis without relying on IT departments.

    Moreover, this approach allows businesses to be more agile and responsive to changing business requirements. Big data is another significant trend in the market, as businesses seek to manage and analyze large volumes of data to gain insights into their operations and customer behavior. Data wrangling is a critical process in managing big data, as it ensures that the data is clean, transformed, and enriched to make it usable for analysis. In conclusion, the market in North America is experiencing significant growth due to the increasing demand for data management and analysis in various industries. Cloud solutions, multi-cloud strategies, data quality, finance and insurance, IoT, real-time analysis, self-service data preparation, and big data are some of the key trends driving the market. Businesses that invest in data wrangling solutions can gain a competitive edge by gaining valuable insights from their data and making informed decisions.

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Sector
    
  20. J

    Japan Monthly Earnings

    • ceicdata.com
    Updated Mar 11, 2025
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    CEICdata.com (2025). Japan Monthly Earnings [Dataset]. https://www.ceicdata.com/en/indicator/japan/monthly-earnings
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Japan
    Description

    Key information about Japan Monthly Earnings

    • Japan Monthly Earnings stood at 1,888 USD in Jan 2025, compared with the previous figure of 4,014 USD in Dec 2024
    • Japan Monthly Earnings data is updated monthly, available from Jan 1971 to Jan 2025, with an average number of 2,419 USD
    • The data reached the an all-time high of 7,322 USD in Dec 1994 and a record low of 164 USD in Feb 1971

    CEIC converts Monthly Earnings into USD. The Ministry of Health, Labour and Welfare provides Average Monthly Earnings in local currency. Federal Reserve Bank average market exchange rate is used for currency conversions. Monthly Earnings include Establishments with 5 or more employees. Monthly Earnings prior to January 2012 are based on Conventional Published Value.


    Further information about Japan Monthly Earnings

    • In the latest reports, Japan Population reached 124 million people in Dec 2024
    • Unemployment Rate of Japan remained the same at 3 % in Jan 2025
    • The country's Labour Force Participation Rate dropped to 63 % in Jan 2025

Share
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National Institutes of Health (2025). Comparison of performance-based measures among native Japanese, Japanese-Americans in Hawaii and Caucasian women in the United States, ages 65 years and over: a cross-sectional study [Dataset]. https://catalog.data.gov/dataset/comparison-of-performance-based-measures-among-native-japanese-japanese-americans-in-hawai

Data from: Comparison of performance-based measures among native Japanese, Japanese-Americans in Hawaii and Caucasian women in the United States, ages 65 years and over: a cross-sectional study

Related Article
Explore at:
Dataset updated
Sep 6, 2025
Dataset provided by
National Institutes of Health
Area covered
Hawaii, Japan, United States
Description

Background Japanese (both in Japan and Hawaii) have a lower incidence of falls and of hip fracture than North American and European Caucasians, but the reasons for these differences are not clear. Subjects and Methods A cross-sectional study. We compared neuromuscular risk factors for falls using performance-based measures (chair stand time, usual and rapid walking speed, and grip strength) among 163 Japanese women in Japan, 681 Japanese-American women in Hawaii and 9403 Caucasian women in the United States aged 65 years and over. Results After adjusting for age, the Caucasian women required about 40% more time to complete 5 chair stands than either group of Japanese. Walking speed was about 10% slower among Caucasians than native Japanese, whereas Japanese-American women in Hawaii walked about 11% faster than native Japanese. Grip strength was greatest in Japan, which may reflect the rural farming district that this sample was drawn from. Additional adjustment for height, weight or body mass index increased the adjusted means of chair stand time and grip strength among Japanese, but the differences remained significant. Conclusions Both native Japanese and Japanese-American women in Hawaii performed better than Caucasians on chair stand time and walking speed tests, and native Japanese had greater grip strength than Japanese in Hawaii and Caucasians. The biological implications of these differences in performance are uncertain, but may be useful in planning future comparisons between populations.

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