11 datasets found
  1. M

    Japan Literacy Rate | Historical Data | Chart | N/A-N/A

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Japan Literacy Rate | Historical Data | Chart | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/jpn/japan/literacy-rate
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Japan
    Description

    Historical dataset showing Japan literacy rate by year from N/A to N/A.

  2. Education Statistics

    • kaggle.com
    zip
    Updated Oct 23, 2018
    + more versions
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    World Bank (2018). Education Statistics [Dataset]. https://www.kaggle.com/datasets/theworldbank/education-statistics/versions/66
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    zip(79282075 bytes)Available download formats
    Dataset updated
    Oct 23, 2018
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Authors
    World Bank
    Description

    Content

    The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.

    The query also holds learning outcome data from international and regional learning assessments (e.g. PISA, TIMSS, PIRLS), equity data from household surveys, and projection/attainment data to 2050. For further information, please visit the EdStats website.

    Context

    This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore the World Bank using Kaggle and all of the data sources available through the World Bank organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using the World Bank's APIs and Kaggle's API.

    Cover photo by NESA by Makers on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  3. Level of HL-SAC by Sex.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 20, 2025
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    Mika Ninohei; Hiroki Sugimori; Naoko Ito; Ataru Igarashi; Mika Kigawa; Junko Miyazawa; Maki Hirao; Keiko Suzuki; Takeshi Odajima; Takeo Nakayama (2025). Level of HL-SAC by Sex. [Dataset]. http://doi.org/10.1371/journal.pone.0324456.t003
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    xlsAvailable download formats
    Dataset updated
    May 20, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mika Ninohei; Hiroki Sugimori; Naoko Ito; Ataru Igarashi; Mika Kigawa; Junko Miyazawa; Maki Hirao; Keiko Suzuki; Takeshi Odajima; Takeo Nakayama
    License

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

    Description

    Health literacy is a modifiable determinant of health with the potential to enhance public health. An association between health literacy and health-related quality of life has been reported. Although each country has developed their own original health literacy scales, the assessment of adolescent health literacy using the Health Literacy Scale for School-Aged Children has not yet been studied in Japan. In this study, we aimed to clarify the factors associated with adolescents’ health literacy and examine the relationship between health literacy, health-related behaviors, and health-related quality of life in Japan. Participants were recruited by a research company using registered monitors (1st- to 3rd-year junior high school students and their mothers living in Japan in August 2023). Multivariate regression analysis was performed using the total EuroQoL Five Dimensions, Youth Version scores. SAS software was used for data analysis. Overall, 1,854 adolescents and their mothers participated in the online survey. Factors associated with Health Literacy Scale for School-Aged Children included physical activity, sleep conditions in health-related behaviors, parental communication, parental health literacy, and health-related quality of life. Furthermore, parental health literacy was associated to children’s quality of life. Our study showed the influence of family variables, highlighting the need for tailored approaches that consider parents’ health literacy levels.

  4. f

    Demographic Characteristics.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated May 20, 2025
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    Odajima, Takeshi; Kigawa, Mika; Nakayama, Takeo; Igarashi, Ataru; Miyazawa, Junko; Sugimori, Hiroki; Hirao, Maki; Ninohei, Mika; Ito, Naoko; Suzuki, Keiko (2025). Demographic Characteristics. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0002086879
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    Dataset updated
    May 20, 2025
    Authors
    Odajima, Takeshi; Kigawa, Mika; Nakayama, Takeo; Igarashi, Ataru; Miyazawa, Junko; Sugimori, Hiroki; Hirao, Maki; Ninohei, Mika; Ito, Naoko; Suzuki, Keiko
    Description

    Health literacy is a modifiable determinant of health with the potential to enhance public health. An association between health literacy and health-related quality of life has been reported. Although each country has developed their own original health literacy scales, the assessment of adolescent health literacy using the Health Literacy Scale for School-Aged Children has not yet been studied in Japan. In this study, we aimed to clarify the factors associated with adolescents’ health literacy and examine the relationship between health literacy, health-related behaviors, and health-related quality of life in Japan. Participants were recruited by a research company using registered monitors (1st- to 3rd-year junior high school students and their mothers living in Japan in August 2023). Multivariate regression analysis was performed using the total EuroQoL Five Dimensions, Youth Version scores. SAS software was used for data analysis. Overall, 1,854 adolescents and their mothers participated in the online survey. Factors associated with Health Literacy Scale for School-Aged Children included physical activity, sleep conditions in health-related behaviors, parental communication, parental health literacy, and health-related quality of life. Furthermore, parental health literacy was associated to children’s quality of life. Our study showed the influence of family variables, highlighting the need for tailored approaches that consider parents’ health literacy levels.

  5. p

    Trends in Reading and Language Arts Proficiency (2011-2022): Strain-Japan...

    • publicschoolreview.com
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    Public School Review, Trends in Reading and Language Arts Proficiency (2011-2022): Strain-Japan R-XVI School District vs. Missouri [Dataset]. https://www.publicschoolreview.com/missouri/strain-japan-r-xvi-school-district/2912480-school-district
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    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Strain-japan R-xvi
    Description

    This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Strain-Japan R-XVI School District vs. Missouri

  6. World Bank: Education Data

    • kaggle.com
    zip
    Updated Mar 20, 2019
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    World Bank (2019). World Bank: Education Data [Dataset]. https://www.kaggle.com/datasets/theworldbank/world-bank-intl-education
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    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Authors
    World Bank
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

    Content

    This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access.

    For more information, see the World Bank website.

    Fork this kernel to get started with this dataset.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_health_population

    http://data.worldbank.org/data-catalog/ed-stats

    https://cloud.google.com/bigquery/public-data/world-bank-education

    Citation: The World Bank: Education Statistics

    Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by @till_indeman from Unplash.

    Inspiration

    Of total government spending, what percentage is spent on education?

  7. Distribution of Responses of the EQ-5D-Y.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 20, 2025
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    Mika Ninohei; Hiroki Sugimori; Naoko Ito; Ataru Igarashi; Mika Kigawa; Junko Miyazawa; Maki Hirao; Keiko Suzuki; Takeshi Odajima; Takeo Nakayama (2025). Distribution of Responses of the EQ-5D-Y. [Dataset]. http://doi.org/10.1371/journal.pone.0324456.t005
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    xlsAvailable download formats
    Dataset updated
    May 20, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mika Ninohei; Hiroki Sugimori; Naoko Ito; Ataru Igarashi; Mika Kigawa; Junko Miyazawa; Maki Hirao; Keiko Suzuki; Takeshi Odajima; Takeo Nakayama
    License

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

    Description

    Health literacy is a modifiable determinant of health with the potential to enhance public health. An association between health literacy and health-related quality of life has been reported. Although each country has developed their own original health literacy scales, the assessment of adolescent health literacy using the Health Literacy Scale for School-Aged Children has not yet been studied in Japan. In this study, we aimed to clarify the factors associated with adolescents’ health literacy and examine the relationship between health literacy, health-related behaviors, and health-related quality of life in Japan. Participants were recruited by a research company using registered monitors (1st- to 3rd-year junior high school students and their mothers living in Japan in August 2023). Multivariate regression analysis was performed using the total EuroQoL Five Dimensions, Youth Version scores. SAS software was used for data analysis. Overall, 1,854 adolescents and their mothers participated in the online survey. Factors associated with Health Literacy Scale for School-Aged Children included physical activity, sleep conditions in health-related behaviors, parental communication, parental health literacy, and health-related quality of life. Furthermore, parental health literacy was associated to children’s quality of life. Our study showed the influence of family variables, highlighting the need for tailored approaches that consider parents’ health literacy levels.

  8. f

    Data_Sheet_1_Financial Literacy, Financial Education, and Smoking Behavior:...

    • frontiersin.figshare.com
    • figshare.com
    xlsx
    Updated Jun 6, 2023
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    Somtip Watanapongvanich; Mostafa Saidur Rahim Khan; Pongpat Putthinun; Shunsuke Ono; Yoshihiko Kadoya (2023). Data_Sheet_1_Financial Literacy, Financial Education, and Smoking Behavior: Evidence From Japan.xlsx [Dataset]. http://doi.org/10.3389/fpubh.2020.612976.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Frontiers
    Authors
    Somtip Watanapongvanich; Mostafa Saidur Rahim Khan; Pongpat Putthinun; Shunsuke Ono; Yoshihiko Kadoya
    License

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

    Description

    In this study, we examine the relationship between financial literacy, financial education, and smoking behavior among the Japanese population. We hypothesize that financially literate and financially educated people, who have the ability to make more rational decisions, are less likely to smoke. Using the Preference Parameters Study of Osaka University, conducted in 2010 (N = 3,706), the probit regression results show that both financial literacy (with an emphasis on knowledge of investments) and financial education (with an emphasis on savings behavior) have a significant negative impact on smoking behavior. In addition, gender, age, education, marital status, household income and assets, risky behaviors, a myopic view of the future, risk preference, and level of happiness also significantly predict the likelihood of a person being a current smoker. This study provides empirical evidence that enhancing the rational decision-making ability of individuals through financial literacy and financial education may curtail smoking behavior.

  9. f

    Data from: Association between health literacy and COVID-19 prevention...

    • datasetcatalog.nlm.nih.gov
    • tandf.figshare.com
    Updated Aug 3, 2022
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    Okawa, Sumiyo; Shigemi, Daisuke; Tabuchi, Takahiro; Yasunaga, Hideo (2022). Association between health literacy and COVID-19 prevention behaviors among pregnant and postpartum women [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000258174
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    Dataset updated
    Aug 3, 2022
    Authors
    Okawa, Sumiyo; Shigemi, Daisuke; Tabuchi, Takahiro; Yasunaga, Hideo
    Description

    To investigate the association between health literacy and COVID-19 prevention behaviors among pregnant and postpartum women in Japan. In this cross-sectional, web-based, self-reported questionnaire survey, we investigated the association between health literacy and COVID-19 prevention behaviors among pregnant and postpartum women in Japan. A multivariable logistic regression analysis was performed to evaluate the association with adjustment for socioeconomic characteristics. There were 926 respondents, comprising 368 pregnant and 558 postpartum women. Women with high health literacy scores accounted for 42% of the respondents. This group had a significantly higher proportion of actively adopting preventive behaviors than the low health literacy group (33.5 vs. 25.4%, p = .008). The multivariable logistic regression analysis showed high health literacy was significantly associated with high preventive behaviors scores compared to low health literacy (adjusted odds ratio, 1.66; 95% confidence interval, 1.22–2.27). Higher health literacy was significantly associated with a higher proportion of COVID-19 prevention behaviors among women who are pregnant or postpartum.

  10. f

    Table_4_What is the association between schoolwork-related anxiety and...

    • figshare.com
    docx
    Updated Jul 19, 2024
    + more versions
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    Lawrence Grabau; Benoît Galand; Dominique Lafontaine; Jari Lavonen; Ragnar F. Ólafsson; Louis Trudel; SaeYeol Yoon (2024). Table_4_What is the association between schoolwork-related anxiety and science literacy proficiency? A comparison between Southeast Asia and Northwest Europe.DOCX [Dataset]. http://doi.org/10.3389/feduc.2024.1414423.s004
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    docxAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Frontiers
    Authors
    Lawrence Grabau; Benoît Galand; Dominique Lafontaine; Jari Lavonen; Ragnar F. Ólafsson; Louis Trudel; SaeYeol Yoon
    License

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

    Area covered
    Asia, South East Asia, Northwestern Europe
    Description

    What is the shape of the association between schoolwork-related anxiety (SRA; sometimes referred to as “test anxiety”) and science literacy proficiency (SLP)? Prior results in some areas (e.g., Flanders) have showed an inverse linear relationship between SRA and SLP. Intriguingly, academic anxiety showed an inverse “U-shaped” association with academic performance in Taiwan. Data for six southeast Asian (SEA; Hong Kong, Japan, Korea, Macao, Singapore, Taiwan) and six northwest European (NWE; Belgium, Estonia, Finland, Iceland, Ireland, the Netherlands) nations/entities were drawn from PISA 2015, the most recent science-focused iteration of OECD’s (Organization for Economic Cooperation and Development) triennial PISA (Programme for International Student Assessment) evaluations. Mean SRA and SLP, respectively, were 0.34 and 532 across the selected SEA representatives (aggregate n = 35711) and −0.21 and 515 across the identified NWE nations (n = 34601). We sorted each nation’s/entity’s dataset into five SLP levels (utilizing PISA’s own criteria) and placed students into SLP levels based on an average of ten plausible values for each individual student). ANOVA results showed Taiwan, Japan, and Korea, (with some qualified evidence for SEA as a region) to have an inverse U-shaped relationship between SRA and SLP; Finland, and Iceland (along with modest evidence for NWE as a region) had a negative linear relationship between SRA and SLP. Multilevel modeling (MLM; within nations/entities only) partially confirmed our parallel ANOVA results: an inverse U-shaped relationship for Taiwan, and the negative linear relationship for Finland and Iceland. Our Belgian MLM also showed negative linearity. Thus, our results confirmed the earlier observation of an inverse U-shaped relationship between student anxiety measures and academic performance in Taiwan (extending that finding to a science context—and further extending that finding for science to Japan and Korea). We discuss possible classroom interventions aimed at mitigating non-adaptive anxieties among students at intermediate SLP levels.

  11. f

    Dataset and results of 109 participants.

    • plos.figshare.com
    xlsx
    Updated Aug 12, 2024
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    Masaki Takebayashi; Mira Namba; Tatsuya Koyama; Yudai Kaneda; Hiroyuki Kawaguchi; Chiaki Uemura; Megumi Shibuya; Shin Murakami; Hiroshi Fukuda; Hirohide Shibutani (2024). Dataset and results of 109 participants. [Dataset]. http://doi.org/10.1371/journal.pone.0305765.s001
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    xlsxAvailable download formats
    Dataset updated
    Aug 12, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Masaki Takebayashi; Mira Namba; Tatsuya Koyama; Yudai Kaneda; Hiroyuki Kawaguchi; Chiaki Uemura; Megumi Shibuya; Shin Murakami; Hiroshi Fukuda; Hirohide Shibutani
    License

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

    Description

    ObjectivePrior research has implied that promoting sustaining physical activity through nudges is challenging and boosting health literacy is important for the long-term establishment of behaviors. This study aimed to investigate the effects of commitment-based health application on step count and health literacy.MethodsA control experiment was conducted involving employees from companies located in Shizuoka Prefecture, Japan. Participants were divided into three groups: the commitment app group (utilizing a commitment-based application "Minchalle," where teams of around five members were randomly assigned to declare a target step count and report daily step count with pictures), the self-commitment group (individuals declaring a target step count and endeavoring on their own), and the control group (no intervention). Changes in step count and health literacy were examined over one month.ResultsA total of 109 employees from 7 companies participated. The changes in step count were an increase of 893 steps for the commitment app group, 243 steps for the self-commitment group, and 178 steps for the control group, with a significant increase in the commitment app group compared to the control group. Regarding health literacy measures, there was significant progress in four items out of five for the commitment app group compared to the control group, and significant progress in one item for the self-commitment group compared to the control group.ConclusionCommunication within the app teams, such as commitment, sharing photos of their goal achievements and provide encouraging comments to others, functioned as social nudges, suggesting the potential for an immediate increase in step count and long-term behavioral reinforcement through improved health literacy.

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MACROTRENDS (2025). Japan Literacy Rate | Historical Data | Chart | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/jpn/japan/literacy-rate

Japan Literacy Rate | Historical Data | Chart | N/A-N/A

Japan Literacy Rate | Historical Data | Chart | N/A-N/A

Explore at:
csvAvailable download formats
Dataset updated
Oct 31, 2025
Dataset authored and provided by
MACROTRENDS
License

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

Area covered
Japan
Description

Historical dataset showing Japan literacy rate by year from N/A to N/A.

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