Country Profile

69
ODIN SCORE
Japan
29th GLOBAL RANK
OUT OF 193
67 COVERAGE SCORE
OUT OF 100
71 OPENNESS SCORE
OUT OF 100

Summary of Results

The Open Data Inventory (ODIN) measures how complete a country’s statistical offerings are and whether their data meet international standards of openness. Japan ranks 29th in the Open Data Inventory 2022 with an overall score of 69. The overall score is a combination of a data coverage subscore of 67 and a data openness subscore of 71.

The following tables show the coverage and openness scores for each data category. For more detailed information, view the Coverage and Openness tabs.

Rankings

Coverage Openness Overall
Global
OUT OF 193
18th 44th 29th
Eastern Asia
OUT OF 7
3rd 5th 3rd

Category Scores

Data Category Coverage Openness    Overall   
Population & vital statistics 90 90 90
Education facilities 80 90 85
Education outcomes 50 90 70
Health facilities 70 80 75
Health outcomes 20 60 40
Reproductive health 40 80 60
Food security & nutrition 50 90 72
Gender statistics 10 90 50
Crime & justice 40 70 55
Poverty & income 30 70 50
Social Statistics subscore 48 81 65
National accounts 75 70 72
Labor 80 80 80
Price indexes 88 70 78
Government finance 75 60 67
Money & banking 100 60 75
International trade 50 60 56
Balance of payments 100 60 75
Economic Statistics subscore 81 66 72
Agriculture and land use 70 70 70
Resource use 88 70 78
Energy 100 60 75
Pollution 75 60 67
Built environment 60 70 65
Environment subscore 76 66 71
All Categories 67 71 69
Last updated: March 9, 2023

Coverage

The Open Data Inventory (ODIN) assesses coverage based on five coverage elements described below. Each category receives a coverage score based on the amount of data available in that category. Average scores across all categories are shown in the chart below.

In general, coverage scores are based on the availability of indicator availabilities published, how many observations are available over the last 10 years, and if national and subnational data exist.

Indicators Not Published

Indicators are considered not published when no qualifying and disaggregated data are found. Not all indicators are required for full credit in every category.

20%
Number of Categories That Score 0

Categories that score 0 do not publish the minimum amount of data to receive a score. For most categories, the minimum amount of data is one indicator. There are 22 categories.

0
ODIN-Gender Data Index (OGDI) Score

OGDI is a sub-index of ODIN, which measures the availability and openness of 35 indicators that should be sex-disaggregated or apply only to women and girls. Click the score to learn more.

65

Coverage Element Scores, 2022

Click to see a description of each coverage element. Scoring criteria for each can be found in the Methodology Guide on the page that corresponds to the coverage element. Element scores are given for each category. The chart above shows average scores across all categories.

Indicator availability
This coverage element measures how many indicators and disaggregations are published within a category. In each category, all other coverage elements cannot score higher than this element so that coverage scores are not inflated by only a few datasets.
Data Available the Last 5 Years
This coverage element measures how many of the last 5 years of data are available for indicators within each category.
Data Available the Last 10 Years
This coverage element measures how many of the last 10 years of data are available for indicators within each category.
First Administrative Level
This coverage element measures whether data are available at the first administrative level within each category. First administrative levels are defined by the ISO 3166-2 standard and adjusted for country practices. Not all categories or indicators are required to be published data at this level.
Second Administrative Level
This coverage element measures whether data are available at the second administrative level within each category. Second administrative levels are not defined and any further division of first administrative levels are accepted. Not all categories or indicators are required to be published at this level.

Openness

The Open Data Inventory (ODIN) assesses openness based on five coverage elements described below. Each category receives a coverage score based on the amount of data available in that category. Average scores across all categories are shown in the chart below.

In general, openness scores are based on the format and licensing of the datasets, the comprehensiveness of metadata, and what download options exist.

Data License/Terms of Use

The licensing or terms of use that govern the use and reuse of data assessed in ODIN are classified as Open, Some Restrictions, Not Open or Not Available (if no license is found). Below is licensing information for data from the national statistics office on their website and data portal used most in their assessment, if applicable.

NSO Website

Ministry of Internal Affairs and Communications (MIC)

Open

Openness Element Scores, 2022

Click to see description of each openness element. Scoring criteria for each can be found in the Methodology Guide on the page that corresponds to the openness element. Element scores are given for each category. The chart above shows average scores across all categories.

Machine Readability
This openness element measures whether data are made available in machine readable formats. Machine readable file formats allow users to easily process data using a computer. Common machine readable formats include XLS, XLSX, CSV, and JSON files.
Nonproprietary Format
This openness element measures whether data are made available in nonproprietary formats. Nonproprietary file formats are important because they allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. Common nonproprietary formats include PDF, HTML, XLSX, DOCX, CSV, and JSON files.
Metadata Availability
This openness element measures whether metadata are available for the published indicators. Metadata must be located in or near the data file or on a designated metadata section of the website. ODIN looks for three aspects of metadata: (1) definition of indicator; (2) date of upload; and (3) Source agency.
Download Options
This openness element measures whether download options are available. ODIN looks for three download options: (1) bulk download (at the indicator level), (2) API, and (3) user-select download (custom downloads). Options 2 and 3 are interchangeable for scoring purposes.
Data license/Terms of use
This openness element measures whether data are made available under an open license. Open licenses must allow the use, reuse, and sharing or adaption of data for commercial and noncommercial use without any obligation other than attribution, per the Open Definition. Licenses prohibiting commercial use or having two or more additional stipulations are classified as “Not Open”. Licenses with no more than one additional stipulation are classified as “Some Restrictions.” Licenses that do not explicitly state all allowed uses under the Open Definition and do not include restrictive language are also classified as “Some Restrictions.”

ODIN Indicators

The Open Data Inventory (ODIN) 2022/23 assesses data for 65 representative indicators in 22 data categories. The ODIN indicators are not meant to be a comprehensive list of all indicators produced by a country, but rather an indicative sample of the fundamental types of data produced by countries.

The table below shows a list of all ODIN indicators, whether qualifying data were found, and information about the coverage and openness criteria for each dataset. To qualify, a dataset must be published on the NSO website or an official government website linked from the NSO website. It must show national level data, have one of the required categorical disaggregations (if applicable), and present data from the last 10 years.

Not all indicators are required for full credit. More information about this can be found in our Methodology Guide.

ODIN 2022 Indicator List
(1.1) Population data Data available (1 of 2 datasets)
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex, Marital Status, 5-Year Age Groups
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics A Population and Households > DB > Select Display Item > Select relevant indicators
(1.1) Population data Data available (2 of 2 datasets)
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, Admin 2, National Level
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API, Bulk Download
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics A Population and Households > DB > Select Display Item > Select relevant indicators
(1.2) Birth rate Data available
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
System of Social and Demographic Statistics, A Population and Households e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics A Population and Households > DB > Select Display Item > Select A4101 Live Births and sex disaggregations
(1.3) Death rate Data available
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
System of Social and Demographic Statistics, A Population and Households e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics A Population and Households > DB > Select Display Item > Select A4200_Deaths and sex disaggregations
(2.1) Number of schools or classrooms Data available (1 of 2 datasets)
Education facilities

Dataset Coverage Dataset Openness
Education facilities Disaggregation - School Stage, School Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
System of Social and Demographic Statistics E Education: Prefecture e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics E Education > DB > Select Display Item > Select 'E2101_Number of elementary schools', 'E3101_Number of lower secondary schools', and 'E4101_Number of upper secondary schools'
(2.1) Number of schools or classrooms Data available (2 of 2 datasets)
Education facilities

Dataset Coverage Dataset Openness
Education facilities Disaggregation - School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 2
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API, Bulk Download
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
System of Social and Demographic Statistics E Education: Municipality e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics E Education > DB > Select Display Item > Select 'E2101_Number of elementary schools', 'E3101_Number of lower secondary schools', and 'E4101_Number of upper secondary schools'
(2.2) Number of teaching staff Data available (1 of 2 datasets)
Education facilities

Dataset Coverage Dataset Openness
Education facilities Disaggregation - School Stage, Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics E Education > DB > Select Display Item > Select 'E2401_Number of elementary school teachers', 'E3401_Number of lower secondary school teachers', and 'E4401_Number of upper secondary school teachers'
(2.2) Number of teaching staff Data available (2 of 2 datasets)
Education facilities

Dataset Coverage Dataset Openness
Education facilities Disaggregation - School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 2
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API, Bulk Download
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics E Education > DB > Select Display Item > Select 'E2401_Number of elementary school teachers', 'E3401_Number of lower secondary school teachers', and 'E4401_Number of upper secondary school teachers'
(2.3) Education expenditures Data available
Education facilities

Dataset Coverage Dataset Openness
Education facilities Disaggregation - School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics D Administrative Base > DB > Select Display Item > 'D310311_Education expenditure (prefecture)' and related columns
(3.1) Enrollment rate Data available (1 of 2 datasets)
Education outcomes

Dataset Coverage Dataset Openness
Education outcomes Disaggregation - Sex, School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics E Education > DB > Select Display Item > 'E2501_Elementary school students', 'E3501_Lower secondary school students', 'E4501_Upper secondary school students', and related columns
(3.1) Enrollment rate Data available (2 of 2 datasets)
Education outcomes

Dataset Coverage Dataset Openness
Education outcomes Disaggregation - School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 2
Metadata - Incomplete (Source, Definition)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API, Bulk Download
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics E Education > DB > Select Display Item > 'E2501_Elementary school students', 'E3501_Lower secondary school students', and 'E4501_Upper secondary school students'
(3.2) Completion or graduation rate Data Not Available
Education outcomes
(3.3) Competency exam results Data Not Available
Education outcomes
(4.1) Number of health facilities Data available
Health facilities

Dataset Coverage Dataset Openness
Health facilities Disaggregation - Facility Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, Admin 2, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics I Health and Medical Care > DB > Select Display Item > Select 'I510101_No. of hospitals (Public)', 'I510110_Psychiatric hospitals', 'I510120_General hospitals'
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics I Health and Medical Care > DB > Select Display Item > Select 'I510101_No. of hospitals (Public)', 'I510110_Psychiatric hospitals', 'I510120_General hospitals'
(4.2) Number of beds or data on health care staff Data available (1 of 4 datasets)
Health facilities

Dataset Coverage Dataset Openness
Health facilities Disaggregation - Facility Type, Department Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics I Health and Medical Care > DB > Select Display Item > Select 'I5211_No. of beds in hospitals[number of hospital beds]', 'I521120_No. of beds in psychiatric hospitals', and related data
(4.2) Number of beds or data on health care staff Data available (2 of 4 datasets)
Health facilities

Dataset Coverage Dataset Openness
Health facilities Disaggregation - Facility Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 2
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API, Bulk Download
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics I Health and Medical Care > DB > Select Display Item > 'I5211_No. of beds in hospitals[number of hospital beds]'
(4.2) Number of beds or data on health care staff Data available (3 of 4 datasets)
Health facilities

Dataset Coverage Dataset Openness
Health facilities Disaggregation - Staff Type
Years - 2012, 2013, 2014, 2015, 2016, 2017
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API, Bulk Download
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics I Health and Medical Care > DB > Select Display Item > Select 'I5211_No. of beds in hospitals[number of hospital beds]', 'I521120_No. of beds in psychiatric hospitals', and related data
(4.2) Number of beds or data on health care staff Data available (4 of 4 datasets)
Health facilities

Dataset Coverage Dataset Openness
Health facilities Disaggregation - Staff Type
Years - 2012, 2013, 2014, 2015, 2016
Levels - Admin 1, Admin 2
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics I Health and Medical Care > DB > Select Display Item > 'I5211_No. of beds in hospitals[number of hospital beds]'
(4.3) Health expenditures Data available
Health facilities

Dataset Coverage Dataset Openness
Health facilities Disaggregation - Expenditure Categories
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics D Administrative Base > DB > Select Display Item > 'D310304_Health expenditure (prefecture)' and specific expenditure categories
(5.1) Immunization rate Data Not Available
Health outcomes
(5.2) Diseases prevalence Data available (1 of 2 datasets)
Health outcomes

Dataset Coverage Dataset Openness
Health outcomes Disaggregation - Sex, Disease Type
Years - 2014
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2017 Home> Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2017 > Chapter 24 Health and Sanitation > 24-9 Estimated Inpatients and Outpatients by Classification of Diseases
(5.2) Diseases prevalence Data available (2 of 2 datasets)
Health outcomes

Dataset Coverage Dataset Openness
Health outcomes Disaggregation - Sex, Disease Type
Years - 2017
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home> Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 24 Health and Sanitation > Estimated Inpatients and Outpatients by Classification of Diseases
(6.1) Maternal mortality rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level,
Metadata - Complete (Source, Date, Definition)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Vital Statistics Survey e-Stat portal > Search by theme > Vital Statistics > Vital Statistics > Database > death [124 cases] > Annual [124 cases] > 2018 > 5-39 Maternal mortality and mortality by year by prefecture (per 100,000 births) > Select mortality
(6.2) Infant mortality rate or neonatal mortality rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
Format - CSV (r, np);
Download Options - Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Health Labour and Welfare e-Stat portal > File > Vital Statistics > infant mortality > 2020 > Volume 1 6-1 Trends in live births, infant deaths by sex, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan
(6.3) Under-5 mortality rate Data Not Available
Reproductive health
(6.4) Fertility rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - CSV (r, np);
Download Options - Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Health Labour and Welfare e-Stat portal > Search by keyword: 'Fertility Rate' > Volume 1/ 4-5 Trends in total fertility rates by each prefecture > 2020
(6.5) Contraceptive prevalence rate Data Not Available
Reproductive health
(6.6) Adolescent birth rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - CSV (r, np);
Download Options - Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Health Labour and Welfare e-Stat portal > Search by keyword: 'Trends in live birth rates by age of mother, by live birth order' > Volume 1/ 4-18 Trends in live birth rates by age of mother, by live birth order > 2020
(7.1) Prevalence of undernourishment Data Not Available
Food security & nutrition
(7.2) Prevalence of moderate or severe food insecurity Data Not Available
Food security & nutrition
(7.3) Prevalence of obesity Data available
Food security & nutrition

Dataset Coverage Dataset Openness
Food security & nutrition Disaggregation - Age
Years - 2015, 2016, 2017, 2018,
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Incidence of obese children by prefecture e-Stat portal > In Japanese, search by keyword: 肥満 (obesity) > 6 Incidence of obese children by prefecture
(7.4) Prevalence of stunting Data Not Available
Food security & nutrition
(7.5) Prevalence of wasting Data Not Available
Food security & nutrition
(8.1) Proportion of women who are victims of physical, sexual, or psychological violence Data Not Available
Gender statistics
(8.2) Proportion of women in government Data Not Available
Gender statistics
(8.3) Data on child marriages for girls Data available
Gender statistics

Dataset Coverage Dataset Openness
Gender statistics Disaggregation - None
Years - 2015,
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Health Labour and Welfare e-Stat portal > Search from database > Vital Statistics > Report of Vital Statistics: Occupational and Industrial Aspects > Marriages > Table 3
(9.1) Homicide rate Data Not Available
Crime & justice
(9.2) Crime rate Data available
Crime & justice

Dataset Coverage Dataset Openness
Crime & justice Disaggregation - Crime Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal yearly > System of Social and Demographic Statistics K Safety > DB > Select Display Item > Select 'K4201_Recognitions of criminal offenses' and relevant offenses by type
(9.3) Data on prison population Data available
Crime & justice

Dataset Coverage Dataset Openness
Crime & justice Disaggregation - Sex, Sentencing Status
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 28 Justice and Police > 28-13 Inmates in Prisons, Detention Houses and Juvenile Training Schools
Japan Statistical Yearbook 2016 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2016 > Chapter 28 Justice and Police > 28-13 Inmates in Prisons, Detention Houses and Juvenile Training Schools
Japan Statistical Yearbook 2013 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2013 > Chapter 28 Justice and Police > 28-13 Inmates in Prisons, Detention Houses and Juvenile Training Schools
(10.1) Poverty rate Data available (1 of 2 datasets)
Poverty & income

Dataset Coverage Dataset Openness
Poverty & income Disaggregation - None
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - XLS (r);
Download Options - User Selected, API
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search by Theme > National Survey of Family Income and Expenditure > 2014 National Survey of Family Income and Expenditure > Analytical Data, Income Distribution > Total Households > 84 Absolute and Relative Poverty Rate by Family Composition, Age Group of Household Head, Number of Earners
(10.1) Poverty rate Data available (2 of 2 datasets)
Poverty & income

Dataset Coverage Dataset Openness
Poverty & income Disaggregation - None
Years - 2019
Levels - National Level
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Consumption and Wealth 2019 National Survey of Family Income Database > National Survey of Family Income, Consumption and Wealth > 2019 National Survey of Family Income, Consumption and Wealth > poverty > Wealth Poverty Indicies by Situation of Home Loan Balance (3 Groups), Number of Earners per Household (7 Groups), Sex (3 Groups), Age Group (20 Groups) - Japan
(10.2) Distribution of income by deciles or Gini coefficient Data available (1 of 2 datasets)
Poverty & income

Dataset Coverage Dataset Openness
Poverty & income Disaggregation - None
Years - 2014,
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLS (r); CSV (r, np); XML (r, np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
National Survey of Family Income and Expenditure 2014 e-Stat portal > Search by Theme > National Survey of Family Income and Expenditure > 2014 National Survey of Family Income and Expenditure > Analytical Data, Income Distribution > Total Households > Table 80. Average Income by Yearly Income Decile Group > Switch language to Japanese > DB
(10.2) Distribution of income by deciles or Gini coefficient Data available (2 of 2 datasets)
Poverty & income

Dataset Coverage Dataset Openness
Poverty & income Disaggregation - None
Years - 2019
Levels - National Level
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Consumption and Wealth 2019 National Survey of Family Income Database > National Survey of Family Income, Consumption and Wealth > 2019 National Survey of Family Income, Consumption and Wealth > gini > Gini Coefficients of Equivalised Income by Sex (3 Groups), Number of Persons per Household (8 Groups) - Japan
(11.1) Gross domestic product (production approach) Data available (1 of 2 datasets)
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Industry
Years - 2012, 2013, 2014, 2015, 2016
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r)
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2015 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 3 National Accounts > 3-4 Gross Domestic Product Classified by Economic Activities (At Current Prices)
Japan Statistical Yearbook 2019 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2019 > Chapter 3 National Accounts > 3-8 Gross Domestic Product Classified by Economic Activities (at Current Prices)
(11.1) Gross domestic product (production approach) Data available (2 of 2 datasets)
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Industry
Years - 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 3 National Accounts > 3-4 Gross Domestic Product Classified by Economic Activities (At Current Prices)
(11.2) Gross domestic product (expenditure approach) Data available
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Expenditure Categories
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - CSV (r, np);
Download Options - Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Cabinet Office e-Stat portal > Find Statistics by Theme > National Accounts > Quarterly Estimates of GDP > Latest Data > Quarterly > Nominal Gross Domestic Product (original series) > Amount
(11.3) Gross domestic product (income approach) Data available (1 of 2 datasets)
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Income Components
Years - 2012, 2013, 2014, 2015, 2016
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2019 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2019 > Chapter 3 National Accounts > 3-8 Gross Domestic Product Classified by Economic Activities (at Current Prices)
Japan Statistical Yearbook 2015 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 3 National Accounts > 3- 9 Gross Domestic Product and Factor Income Classified by Economic Activities (At Current Prices)
(11.3) Gross domestic product (income approach) Data available (2 of 2 datasets)
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Income Components
Years - 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 3 National Accounts > 3- 5 Gross Domestic Product and Factor Income Classified by Economic Activities (At Current Prices)
(12.1) Employment rate Data available (1 of 3 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Labour Force Survey e-Stat portal > Search from database > Labour Force Survey > Basic Tabulation > Yearly [109 items] > Labour force participation rate, employment rate and unemployment rate > DB > Employment
(12.1) Employment rate Data available (2 of 3 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Sex, Age
Years - 2015,
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics F Labour > DB > Select Display Item > Select desired variables such as: 'F1102_(Population census) Employed persons', 'F2101_(Population census) Employed persons (Age 15-19, total)', and similar data
(12.1) Employment rate Data available (3 of 3 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Sex
Years - 2015
Levels - Admin 2
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics F Labour > DB > Select Display Item > Select desired variables such as: 'F1102_(Population census) Employed persons', 'F110201_(Population census) Employed persons (Male)', 'F110202_(Population census) Employed persons (Female)'
(12.2) Employment distribution Data available (1 of 3 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Industry, Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Labour Force Survey Table e-Stat portal > Search from database > Labour Force Survey > Basic Tabulation > Yearly [109 items] > Labour force participation rate, employment rate and unemployment rate > DB > Under 'Table Layout', put 'industry' and 'sex' as columns and 'status in employment' in the margin
(12.2) Employment distribution Data available (2 of 3 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Industry, Occupation, Sex
Years - 2015,
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics F Labour > DB > 'F2201_Persons employed in primary industry', 'F2211_Persons employed in secondary industry', 'F2221_Persons employed in tertiary industry', and other relevant variables
(12.2) Employment distribution Data available (3 of 3 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Industry, Occupation
Years - 2015
Levels - Admin 2
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, API
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics F Labour > DB > 'F2201_Persons employed in primary industry', 'F2211_Persons employed in secondary industry', 'F2221_Persons employed in tertiary industry', and other relevant variables
(12.3) Unemployment rate Data available (1 of 2 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Labour Force Survey e-Stat portal > Search from database > Labour Force Survey > Basic Tabulation > Yearly [109 items] > Labour force participation rate, employment rate and unemployment rate > DB > Unemployed Persons
(12.3) Unemployment rate Data available (2 of 2 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Sex
Years - 2015,
Levels - Admin 1, Admin 2, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data[26 items] > Basic Data > Fiscal Yearly [13items] > System of Social and Demographic Statistics F Labour > DB > Select Display Item > 'F110701_(Population census) Unemployed persons (Male)' and 'F110702_(Population census) Unemployed persons (Female)'
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics F Labour > DB > Select Display Item > 'F110701_(Population census) Unemployed persons (Male)' and 'F110702_(Population census) Unemployed persons (Female)'
(13.1) Consumer price index Data available
Price indexes

Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - Admin 1, Admin 2, National Level
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > Consumer Price Index > 2015-Base Consumer Price Index > [1 items] > - [1 items] > DB > Select desired variables and download
(13.2) Producers price index Data available (1 of 2 datasets)
Price indexes

Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - CSV (r, np); HTML (np);
Download Options - No download options,
Terms of Use - Semi-Restrictive
Terms of Use URL  URL
Source Navigation
Bank of Japan BOJ Time-Series Data Search > BOJ's main time-series statistics > Prices > Services Producer Price Index(SPPI)[Monthly]
(13.2) Producers price index Data available (2 of 2 datasets)
Price indexes

Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - None ()
Format - CSV (r, np); HTML (np);
Download Options - User Selected,
Terms of Use - Semi-Restrictive
Terms of Use URL  URL
Source Navigation
Bank of Japan BOJ Time-Series Data Search > Statistical data search > Prices > Input-Output Price Index of the Manufacturing Industry by Sector(IOPI)[PR03] > Input-Output Price Index of the Manufacturing Industry by Sector (2011 base) > Manufacturing industry sectors & Major sectors > select all > Search for CSV and TAB downloads, or graph for HTML
(14.1) Actual revenues Data available (1 of 2 datasets)
Government finance

Dataset Coverage Dataset Openness
Government finance Disaggregation - Revenue Source
Years - 2012, 2013, 2014, 2015, 2016, 2017
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2018 > Chapter 5 Public Finance > 5-4 General Accounts > A Revenue by Principal Item
Japan Statistical Yearbook 2015 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 5 Public Finance > 5-4 General Accounts > A Revenue by Principal Item
(14.1) Actual revenues Data available (2 of 2 datasets)
Government finance

Dataset Coverage Dataset Openness
Government finance Disaggregation - Revenue Source
Years - 2018, 2019, 2020, 2021
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 5 Public Finance > 5-4 General Accounts > A Revenue by Principal Item
(14.2) Actual expenditures Data available
Government finance

Dataset Coverage Dataset Openness
Government finance Disaggregation - Administrative Classification, Functional Classification
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 5 Public Finance > 5-4 General Accounts > B Expenditure by Principal Item and D Expenditure Budget by Purpose and Agency
Japan Statistical Yearbook 2015 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 5 Public Finance > 5-4 General Accounts > B Expenditure by Principal Item and D Expenditure Budget by Purpose and Agency
Japan Statistical Yearbook 2012 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2012 > Chapter 5 Public Finance > 5-4 General Accounts > B Expenditure by Principal Item and D Expenditure Budget by Purpose and Agency
(15.1) Money supply Data available (1 of 2 datasets)
Money & banking

Dataset Coverage Dataset Openness
Money & banking Disaggregation - Money Aggregates
Years - 2012, 2013, 2014, 2015, 2016, 2017
Levels - National Level,
Metadata - Incomplete (Source, Definition)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2018 > Chapter 4 Currency and Flow of Funds > 4-4 Money Stock
Japan Statistical Yearbook 2015 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 4 Currency and Flow of Funds > 4-4 Money Stock
(15.1) Money supply Data available (2 of 2 datasets)
Money & banking

Dataset Coverage Dataset Openness
Money & banking Disaggregation - Money Aggregates
Years - 2018, 2019, 2020
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 4 Currency and Flow of Funds > 4-4 Money Stock
(15.2) Interest rates Data available
Money & banking

Dataset Coverage Dataset Openness
Money & banking Disaggregation - Rate Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - None ()
Format - CSV (r, np); HTML (np);
Download Options - User Selected, Bulk Download,
Terms of Use - Semi-Restrictive
Terms of Use URL  URL
Source Navigation
Bank of Japan BOJ TIme Series Search > Statistical Data Search > Interest Rate (deposits and lending realted) > Average interest rates by type of deposit > Average Interest Rates Posted at Financial Institutions by Type of Deposit > Select desired variables and then select search for CSV and graph for HTML
(16.1) Merchandise exports Data available (1 of 2 datasets)
International trade

Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 2012, 2013, 2014, 2015, 2016
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Home> Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2018 > Chapter 6 Foreign Trade, Balance of Payments and International Cooperation > 6-3 Exports by Principal Commodity, and by Special Classification of Commodity
Japan Statistical Yearbook 2015 Home> Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 15 Foreign Trade, Balance of Payments and International Cooperation > 15-3 Exports by Principal Commodity and Special Classification of Commodity
(16.1) Merchandise exports Data available (2 of 2 datasets)
International trade

Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home> Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 6 Foreign Trade, Balance of Payments and International Cooperation > 6-3 Exports by Principal Commodity, and by Special Classification of Commodity
(16.2) Merchandise imports Data available (1 of 2 datasets)
International trade

Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 2012, 2013, 2014, 2015, 2016
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Home> Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2018 > Chapter 6 Foreign Trade, Balance of Payments and International Cooperation > 6-4 Imports by Principal Commodity and Special Classification of Commodity
Japan Statistical Yearbook 2015 Home> Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 15 Foreign Trade, Balance of Payments and International Cooperation > 15-4 Imports by Principal Commodity and Special Classification of Commodity
(16.2) Merchandise imports Data available (2 of 2 datasets)
International trade

Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Home> Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 6 Foreign Trade, Balance of Payments and International Cooperation > 6-4 Imports by Principal Commodity and Special Classification of Commodity




(18.1) Data on land use or land cover Data available (1 of 4 datasets)
Agriculture and land use

Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Environmental Zones
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics B Natural Environment > DB > Select Display Item > B120101_Evaluated land tract (Paddy field
(18.1) Data on land use or land cover Data available (2 of 4 datasets)
Agriculture and land use

Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Crop Type
Years - 2020
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Date)
Format - XLS (r)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Agriculture Forestry and Fisheries e-Stat portal > Search from database > Census of Agriculture and Forestry > search 'crop' > (15) Number of Planting (Cultivating) Management Entities Engaged in Organic Farming and Planted (Cultivated) Area by Type of Crops for Organic Farming
(18.1) Data on land use or land cover Data available (3 of 4 datasets)
Agriculture and land use

Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Crop Type
Years - 2012, 2013, 2014, 2015, 2016
Levels - Admin 1, National Level
Metadata - Incomplete (Source)
Format - XLS (r)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Statistical Yearbook 2017 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2017 > Chapter 8 Agriculture, Forestry and Fisheries > Planted Area by Prefecture
Statistical Yearbook 2015 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 7 Agriculture, Forestry and Fisheries > Planted Area and Agricultural Production
(18.1) Data on land use or land cover Data available (4 of 4 datasets)
Agriculture and land use

Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Crop Type
Years - 2017, 2018, 2019
Levels - Admin 1, National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Statistical Yearbook 2022 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 8 Agriculture, Forestry and Fisheries > Aggregated Planted Area of Crops by Prefecture
Statistical Yearbook 2021 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2021 > Chapter 8 Agriculture, Forestry and Fisheries > Aggregated Planted Area of Crops by Prefecture
Statistical Yearbook 2020 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2020 > Chapter 8 Agriculture, Forestry and Fisheries > Aggregated Planted Area of Crops by Prefecture
(18.2) Data on protected lands Data available
Agriculture and land use

Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data[26 items] > Basic Data > Fiscal Yearly [13items] > System of Social and Demographic Statistics B Natural Environment > DB > Select Display Item > B1108_Areas of nature conservation areas
(18.3) Commodity production Data available (1 of 2 datasets)
Agriculture and land use

Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Commodity Type
Years - 2012, 2013, 2014, 2015, 2016
Levels - National Level
Metadata - Incomplete (Source)
Format - XLS (r)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Statistical Yearbook 2015 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2015 > Chapter 7 Agriculture, Forestry and Fisheries > Production of Raw Milk, Hen Eggs, Chickens and Carcass
Statistical Yearbook 2017 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2017 > Chapter 8 Agriculture, Forestry and Fisheries > Production of Raw Milk, Hen Eggs and Carcass
(18.3) Commodity production Data available (2 of 2 datasets)
Agriculture and land use

Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Commodity Type
Years - 2015, 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Statistical Yearbook 2022 Home > Statistics > Japan Statistical Yearbook > Japan Statistical Yearbook 2022 > Chapter 8 Agriculture, Forestry and Fisheries > Production of Raw Milk, Hen Eggs and Carcass
(19.1) Data on fishery harvests Data available
Resource use

Dataset Coverage Dataset Openness
Resource use Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data[26 items] > Basic Data > Fiscal Yearly [13items] > System of Social and Demographic Statistics C Economic Base > DB > Select Display Item > 'C312101_Catches of marine fisheries', 'C312102_Quantity of catches of inland water fisheries', 'C312001_Production of marine fisheries', and other relevant indicators
(19.2) Data on timber harvests or deforestation Data available (1 of 2 datasets)
Resource use

Dataset Coverage Dataset Openness
Resource use Disaggregation - None
Years - 2012, 2013, 2014
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2015 Japan Statistical Yearbook 2015 > Chapter 7 Agriculture, Forestry and FIsheries > 7-36 Forestry Output and Income from Forestry Production
Japan Statistical Yearbook 2014 Japan Statistical Yearbook 2014 > Chapter 7 Agriculture, Forestry and FIsheries > 7-36 Forestry Output and Income from Forestry Production
(19.2) Data on timber harvests or deforestation Data available (2 of 2 datasets)
Resource use

Dataset Coverage Dataset Openness
Resource use Disaggregation - None
Years - 2015, 2016, 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Japan Statistical Yearbook 2022 > Chapter 8 Agriculture, Forestry and FIsheries > 8-22 Forestry Output and Income from Forestry Production
Japan Statistical Yearbook 2021 Japan Statistical Yearbook 2021 > Chapter 8 Agriculture, Forestry and FIsheries > 8-22 Forestry Output and Income from Forestry Production
(19.3) Data on mining or extractive activities Data available (1 of 2 datasets)
Resource use

Dataset Coverage Dataset Openness
Resource use Disaggregation - Raw material type
Years - 2012, 2013, 2014, 2015, 2016
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Japan Statistical Yearbook 2018 > Chapter 9 Mining and Manufacturing > 9-2 Production, Shipments and Inventory of Minerals
Japan Statistical Yearbook 2016 Japan Statistical Yearbook 2016 > Chapter 9 Mining and Manufacturing > 9-2 Production, Shipments and Inventory of Minerals
(19.3) Data on mining or extractive activities Data available (2 of 2 datasets)
Resource use

Dataset Coverage Dataset Openness
Resource use Disaggregation - Raw material type
Years - 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Japan Statistical Yearbook 2022 > Chapter 9 Mining and Manufacturing > 9-2 Production, Shipments and Inventory of Minerals
Japan Statistical Yearbook 2021 Japan Statistical Yearbook 2021 > Chapter 9 Mining and Manufacturing > 9-2 Production, Shipments and Inventory of Minerals
(19.4) Water consumption Data available (1 of 2 datasets)
Resource use

Dataset Coverage Dataset Openness
Resource use Disaggregation - Sector
Years - 2012, 2013, 2014, 2015, 2016, 2017
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Japan Statistical Yearbook 2018 > Chapter 11 Energy and Water > Water > 11-20 Industrial Water Used by Medium Group of Manufacturing Industry
Japan Statistical Yearbook 2016 Japan Statistical Yearbook 2016 > Chapter 11 Energy and Water > Water > 11-22 Industrial Water Used by Medium Group of Manufacturing Industry
(19.4) Water consumption Data available (2 of 2 datasets)
Resource use

Dataset Coverage Dataset Openness
Resource use Disaggregation - Sector
Years - 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Japan Statistical Yearbook 2022 > Chapter 11 Energy and Water > 11-20 Industrial Water Used by Medium Group of Manufacturing Industry
Japan Statistical Yearbook 2021 Japan Statistical Yearbook 2021 > Chapter 11 Energy and Water > 11-20 Industrial Water Used by Medium Group of Manufacturing Industry
(20.1) Energy consumption Data available
Energy

Dataset Coverage Dataset Openness
Energy Disaggregation - Energy Commodity, Sector
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - None ()
Format - XLSX (r, np);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Comprehensive energy statistics 2020 Home > Information > Links to Statistical Agencies > Agency for Natural Resources and Energy > Statistics > search 'energy' > https://www.meti.go.jp/english/press/2022/0415_001.html > click on link after 'The Table of the FY2020 Comprehensive Energy Statistics (Revised Report) in Excel format is available on the ANRE website for your reference:' > 時系列表(参考表)> 総合エネルギー統計 > 2020年度
Comprehensive energy statistics 2018 Home > Information > Links to Statistical Agencies > Agency for Natural Resources and Energy > Statistics > search 'energy' > https://www.meti.go.jp/english/press/2022/0415_001.html > click on link after 'The Table of the FY2020 Comprehensive Energy Statistics (Revised Report) in Excel format is available on the ANRE website for your reference:' > 時系列表(参考表)> 総合エネルギー統計 > 2018年度
Comprehensive energy statistics 2015 Home > Information > Links to Statistical Agencies > Agency for Natural Resources and Energy > Statistics > search 'energy' > https://www.meti.go.jp/english/press/2022/0415_001.html > click on link after 'The Table of the FY2020 Comprehensive Energy Statistics (Revised Report) in Excel format is available on the ANRE website for your reference:' > 時系列表(参考表)> 総合エネルギー統計 > 2015年度
(20.2) Energy supply Data available
Energy

Dataset Coverage Dataset Openness
Energy Disaggregation - Energy Commodity
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - None ()
Format - XLSX (r, np);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Comprehensive energy statistics 2015 Home > Information > Links to Statistical Agencies > Agency for Natural Resources and Energy > Statistics > search 'energy' > https://www.meti.go.jp/english/press/2022/0415_001.html > click on link after 'The Table of the FY2020 Comprehensive Energy Statistics (Revised Report) in Excel format is available on the ANRE website for your reference:' > 時系列表(参考表)> 総合エネルギー統計 > 2015年度
Comprehensive energy statistics 2020 Home > Information > Links to Statistical Agencies > Agency for Natural Resources and Energy > Statistics > search 'energy' > https://www.meti.go.jp/english/press/2022/0415_001.html > click on link after 'The Table of the FY2020 Comprehensive Energy Statistics (Revised Report) in Excel format is available on the ANRE website for your reference:' > 時系列表(参考表)> 総合エネルギー統計 > 2020年度
Comprehensive energy statistics 2018 Home > Information > Links to Statistical Agencies > Agency for Natural Resources and Energy > Statistics > search 'energy' > https://www.meti.go.jp/english/press/2022/0415_001.html > click on link after 'The Table of the FY2020 Comprehensive Energy Statistics (Revised Report) in Excel format is available on the ANRE website for your reference:' > 時系列表(参考表)> 総合エネルギー統計 > 2018年度
(21.1) Greenhouse gas emissions Data available (1 of 2 datasets)
Pollution

Dataset Coverage Dataset Openness
Pollution Disaggregation - Gas Type
Years - 2012, 2013, 2014, 2015, 2016
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Japan Statistical Yearbook 2018 > Chapter 17 Environment > 17- 1 Discharge of Greenhouse Gases by Kind(Excel:32KB)
Japan Statistical Yearbook 2016 Japan Statistical Yearbook 2016 > Chapter 17 Environment > 17- 1 Emission of Greenhouse Gases by Kind
(21.1) Greenhouse gas emissions Data available (2 of 2 datasets)
Pollution

Dataset Coverage Dataset Openness
Pollution Disaggregation - Gas Type
Years - 2015, 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Japan Statistical Yearbook 2022 > Chapter 17 Environment > 17- 1 Greenhouse Gases Emissions by Kind
Japan Statistical Yearbook 2021 Japan Statistical Yearbook 2021 > Chapter 17 Environment > 17- 1 Greenhouse Gases Emissions by Kind
(21.2) Emissions of air or water pollutants Data available (1 of 2 datasets)
Pollution

Dataset Coverage Dataset Openness
Pollution Disaggregation - Pollutant Type
Years - 2012, 2013, 2014, 2015, 2016, 2017
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2017 Japan Statistical Yearbook 2017 > Chapter 17 Environment > Rate of Environmental Standard Achievement and Annual Average Density of Major Air Pollutants
Japan Statistical Yearbook 2014 Japan Statistical Yearbook 2014 > Chapter 26 Environment, Disasters and Accidents > Achievement Rate of Environmental Standard on Air Pollution and Annual Average Density (5 Substances and Fine Particulate Matter)
(21.2) Emissions of air or water pollutants Data available (2 of 2 datasets)
Pollution

Dataset Coverage Dataset Openness
Pollution Disaggregation - Pollutant Type
Years - 2015, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Japan Statistical Yearbook 2022 > Chapter 17 Environment > 17- 7 Rate of Environmental Standard Achievement and Annual Average Density of Major Air Pollutants
Japan Statistical Yearbook 2021 Japan Statistical Yearbook 2021 > Chapter 17 Environment > 17- 7 Rate of Environmental Standard Achievement and Annual Average Density of Major Air Pollutants
(22.1) Proportion of households with access to water Data available (1 of 2 datasets)
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Water Supply Type
Years - 2012, 2013, 2014
Levels - National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Japan Statistical Yearbook 2018 > Chapter 11 Energy and Water > 11-19 Water Supplies
Japan Statistical Yearbook 2017 Japan Statistical Yearbook 2017 > Chapter 11 Energy and Water > 11-19 Water Supplies
(22.1) Proportion of households with access to water Data available (2 of 2 datasets)
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Water Supply Type
Years - 2015, 2016, 2017, 2018
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Japan Statistical Yearbook 2022 > Chapter 11 Energy and Water > 11-19 Water Supplies
Japan Statistical Yearbook 2021 Japan Statistical Yearbook 2021 > Chapter 11 Energy and Water > 11-19 Water Supplies
(22.2) Proportion of households with access to sanitation Data available (1 of 2 datasets)
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Sanitation Facility Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level,
Metadata - Incomplete (Source)
Format - XLS (r);
Download Options - No download options,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2018 Japan Statistical Yearbook 2018 > Chapter 17 Environment > 17-5 B Disposal of Human Excrement
Japan Statistical Yearbook 2016 Japan Statistical Yearbook 2016 > Chapter 17 Environment > 17-5 B Disposal of Human Excrement
(22.2) Proportion of households with access to sanitation Data available (2 of 2 datasets)
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Sanitation Facility Type
Years - 2015, 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Japan Statistical Yearbook 2022 Japan Statistical Yearbook 2022 > Chapter 17 Environment > 17- 5 Disposal of General Waste Matters (Garbage and Human Excrement) > B Disposal of Human Excrement
Japan Statistical Yearbook 2021 Japan Statistical Yearbook 2021 > Chapter 17 Environment > 17- 5 Disposal of General Waste Matters (Garbage and Human Excrement) > B Disposal of Human Excrement
(22.3) Number of rooms or bedrooms Data available
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - None
Years - 2013, 2018,
Levels - Admin 1, Admin 2, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
System of Social and Demographic Statistics H Dwelling: Prefecture e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics H Dwelling > DB > Select Display Item > H2110_No. of dwelling rooms per dwelling
System of Social and Demographic Statistics H Dwelling: Municipality e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics H Dwelling > DB > Select Display Item > H2110_No. of dwelling rooms per dwelling
(22.4) Access to electricity Data Not Available
Built environment
(22.5) Data on housing construction materials Data available
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Material Type
Years - 2013, 2018,
Levels - Admin 1, Admin 2, National Level,
Metadata - Incomplete (Source, Date)
Format - XLSX (r, np); CSV (r, np); HTML (np);
Download Options - User Selected, API, Bulk Download,
Terms of Use - Open
Terms of Use URL  URL
Source Navigation
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Prefectural Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics H Dwelling > DB > Select Display Item > 'H1504_No. of dwellings (Reinforced steel-framed concrete)', 'H1505_No. of dwellings of other construction material', and 'H1506_No. of steel frame dwellings'
Ministry of Internal Affairs and Communications e-Stat portal > Search from database > System of Social and Demographic Statistics > Municipality Data > Basic Data > Fiscal Yearly > System of Social and Demographic Statistics H Dwelling > DB > Select Display Item > 'H1504_No. of dwellings (Reinforced steel-framed concrete)', 'H1505_No. of dwellings of other construction material', and 'H1506_No. of steel frame dwellings'

Recommendations

Every country can improve their open data and ODIN scores can help identify gaps where improvements should be focused. The following recommendations may involve not only the national statistics office, but the entire national statistical system.

If you would like to learn more about how to implement these recommendations, please visit our Technical Assistance page to schedule a meeting

13 ODIN indicators were not published with any of the required disaggregation. ODIN indicators are only a representative sample of the types of data a country should publish and not all indicators below may be relevant to your country. Nonetheless, those that are should be published. Below is a table of the ODIN indicators where no disaggregated data could be found on the NSO website or any official national website that is linked from the NSO website. See the Methodology Guide for definitions of each indicator.

Missing ODIN Indicator Required Disaggregation
(3.2) Completion or graduation rate Sex, Age, School Stage, School Type
(3.3) Competency exam results Sex, Age, School Stage
(5.1) Immunization rate Age, Sex
(6.3) Under-5 mortality rate Sex
(6.5) Contraceptive prevalence rate None
(7.1) Prevalence of undernourishment Sex
(7.2) Prevalence of moderate or severe food insecurity Sex
(7.4) Prevalence of stunting Sex, Age
(7.5) Prevalence of wasting Sex, Age
(8.1) Proportion of women who are victims of physical, sexual, or psychological violence Age, Disability Status, Relationship To Perpetrator, Type of violence
(8.2) Proportion of women in government None
(9.1) Homicide rate Sex Of Victim, Age Of Victim, Sex Of Perpetrator, Age Of Perpetrator, Victim/Perpetrator Relationship
(22.4) Access to electricity None

3 ODIN indicators were not published with sex-disaggregation. Sex-disaggregated data are important to reflect the realities of men and women in various policy areas and narrow gender inequalities. Below is a table of the ODIN indicators where no sex-disaggregated data could be found on the NSO website or any official national website that is linked from the NSO website.

ODIN Indicator with no sex-disaggregation Published
(2.2) Number of teaching staff
(7.3) Prevalence of obesity
(9.2) Crime rate

22 ODIN indicators were not published in machine-readable formats for all years available. Nonproprietary formats allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. By definition, proprietary formats restrict either the ability to use the information or the ability to share the information. The most common nonproprietary formats used by statistics offices are PDF, XLSX, and CSV. Below is a table of the ODIN indicators for which data in a nonproprietary format could not be found. File formats with a (r) indicate that the file is machine readable. File formats with a (np) indicate that the file is nonproprietary.

ODIN Indicator not published in proprietary formats Dataset URL File Format
(5.2) Diseases prevalence Japan Statistical Yearbook 2017 XLS (r);
(9.3) Data on prison population Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2016, Japan Statistical Yearbook 2013 XLS (r);
(10.1) Poverty rate Ministry of Internal Affairs and Communications XLS (r);
(11.1) Gross domestic product (production approach) Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2019 XLS (r)
(11.3) Gross domestic product (income approach) Japan Statistical Yearbook 2019, Japan Statistical Yearbook 2015 XLS (r);
(14.1) Actual revenues Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 XLS (r);
(14.2) Actual expenditures Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2012 XLS (r);
(15.1) Money supply Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 XLS (r);
(16.1) Merchandise exports Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 XLS (r);
(16.2) Merchandise imports Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 XLS (r);
(17.1) Current account Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 XLS (r);
(17.2) Capital and financial account Japan Statistical Yearbook 2019, Japan Statistical Yearbook 2015 XLS (r);
(18.1) Data on land use or land cover Ministry of Agriculture Forestry and Fisheries XLS (r)
(18.1) Data on land use or land cover Statistical Yearbook 2017, Statistical Yearbook 2015 XLS (r)
(18.3) Commodity production Statistical Yearbook 2015, Statistical Yearbook 2017 XLS (r)
(19.2) Data on timber harvests or deforestation Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2014 XLS (r);
(19.3) Data on mining or extractive activities Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016 XLS (r);
(19.4) Water consumption Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016 XLS (r);
(21.1) Greenhouse gas emissions Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016 XLS (r);
(21.2) Emissions of air or water pollutants Japan Statistical Yearbook 2017, Japan Statistical Yearbook 2014 XLS (r);
(22.1) Proportion of households with access to water Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2017 XLS (r);
(22.2) Proportion of households with access to sanitation Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016 XLS (r);

85 ODIN indicators were with complete metadata. For all years available. Many metadata standards can be used to meet ODIN criteria for complete metadata. Metadata must include the following three components: 1) Source agency of data, 2) Definition of indicator, and 3) Date that data was uploaded online. Datasets should be published with ample metadata to “aid both discoverability and usability of the data,” according to the Open Data Handbook. Various metadata standards exist that are often used for statistical data, including Dublin Core, Data Catalogue Vocabulary (DCAT), and RDF Data Cube Vocabulary. Below is a table of the ODIN indicators for which data with incomplete metadata was found.

ODIN Indicator with Incomplete Metadata Dataset URL Metadata Components Not Found
(1.1) Population data Ministry of Internal Affairs and Communications Definition
(1.1) Population data Ministry of Internal Affairs and Communications Definition
(1.2) Birth rate System of Social and Demographic Statistics, A Population and Households Definition
(1.3) Death rate System of Social and Demographic Statistics, A Population and Households Definition
(2.1) Number of schools or classrooms System of Social and Demographic Statistics E Education: Prefecture Definition
(2.1) Number of schools or classrooms System of Social and Demographic Statistics E Education: Municipality Definition
(2.2) Number of teaching staff Ministry of Internal Affairs and Communications Definition
(2.2) Number of teaching staff Ministry of Internal Affairs and Communications Definition
(2.3) Education expenditures Ministry of Internal Affairs and Communications Definition
(3.1) Enrollment rate Ministry of Internal Affairs and Communications Definition
(3.1) Enrollment rate Ministry of Internal Affairs and Communications Date
(4.1) Number of health facilities Ministry of Internal Affairs and Communications, Ministry of Internal Affairs and Communications Definition
(4.2) Number of beds or data on health care staff Ministry of Internal Affairs and Communications Definition
(4.2) Number of beds or data on health care staff Ministry of Internal Affairs and Communications Definition
(4.2) Number of beds or data on health care staff Ministry of Internal Affairs and Communications Definition
(4.2) Number of beds or data on health care staff Ministry of Internal Affairs and Communications Definition
(4.3) Health expenditures Ministry of Internal Affairs and Communications Definition
(5.2) Diseases prevalence Japan Statistical Yearbook 2017 Date, Definition
(5.2) Diseases prevalence Japan Statistical Yearbook 2022 Date, Definition
(6.4) Fertility rate Ministry of Health Labour and Welfare Definition
(6.6) Adolescent birth rate Ministry of Health Labour and Welfare Definition
(7.3) Prevalence of obesity Incidence of obese children by prefecture Definition
(8.3) Data on child marriages for girls Ministry of Health Labour and Welfare Definition
(9.2) Crime rate Ministry of Internal Affairs and Communications Definition
(9.3) Data on prison population Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2016, Japan Statistical Yearbook 2013 Date, Definition
(10.1) Poverty rate Ministry of Internal Affairs and Communications Definition
(10.1) Poverty rate Consumption and Wealth 2019 National Survey of Family Income Definition
(10.2) Distribution of income by deciles or Gini coefficient National Survey of Family Income and Expenditure 2014 Definition
(10.2) Distribution of income by deciles or Gini coefficient Consumption and Wealth 2019 National Survey of Family Income Definition
(11.1) Gross domestic product (production approach) Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2019 Date, Definition
(11.1) Gross domestic product (production approach) Japan Statistical Yearbook 2022 Date, Definition
(11.2) Gross domestic product (expenditure approach) Cabinet Office Definition
(11.3) Gross domestic product (income approach) Japan Statistical Yearbook 2019, Japan Statistical Yearbook 2015 Date, Definition
(11.3) Gross domestic product (income approach) Japan Statistical Yearbook 2022 Date, Definition
(12.1) Employment rate Labour Force Survey Definition
(12.1) Employment rate Ministry of Internal Affairs and Communications Definition
(12.1) Employment rate Ministry of Internal Affairs and Communications Definition
(12.2) Employment distribution Labour Force Survey Table Definition
(12.2) Employment distribution Ministry of Internal Affairs and Communications Definition
(12.2) Employment distribution Ministry of Internal Affairs and Communications Definition
(12.3) Unemployment rate Labour Force Survey Definition
(12.3) Unemployment rate Ministry of Internal Affairs and Communications, Ministry of Internal Affairs and Communications Definition
(13.1) Consumer price index Ministry of Internal Affairs and Communications Definition
(13.2) Producers price index Bank of Japan Definition
(13.2) Producers price index Bank of Japan Source, Date, Definition
(14.1) Actual revenues Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 Date, Definition
(14.1) Actual revenues Japan Statistical Yearbook 2022 Date, Definition
(14.2) Actual expenditures Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2012 Date, Definition
(15.1) Money supply Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 Date
(15.1) Money supply Japan Statistical Yearbook 2022 Date, Definition
(15.2) Interest rates Bank of Japan Source, Date, Definition
(16.1) Merchandise exports Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 Date, Definition
(16.1) Merchandise exports Japan Statistical Yearbook 2022 Date, Definition
(16.2) Merchandise imports Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 Date, Definition
(16.2) Merchandise imports Japan Statistical Yearbook 2022 Date, Definition
(17.1) Current account Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015 Date, Definition
(17.1) Current account Japan Statistical Yearbook 2022 Date, Definition
(17.2) Capital and financial account Japan Statistical Yearbook 2019, Japan Statistical Yearbook 2015 Date, Definition
(17.2) Capital and financial account Japan Statistical Yearbook 2022 Date, Definition
(18.1) Data on land use or land cover Ministry of Internal Affairs and Communications Definition
(18.1) Data on land use or land cover Ministry of Agriculture Forestry and Fisheries Definition
(18.1) Data on land use or land cover Statistical Yearbook 2017, Statistical Yearbook 2015 Date, Definition
(18.1) Data on land use or land cover Statistical Yearbook 2022, Statistical Yearbook 2021, Statistical Yearbook 2020 Date, Definition
(18.2) Data on protected lands Ministry of Internal Affairs and Communications Definition
(18.3) Commodity production Statistical Yearbook 2015, Statistical Yearbook 2017 Date, Definition
(18.3) Commodity production Statistical Yearbook 2022 Date, Definition
(19.1) Data on fishery harvests Ministry of Internal Affairs and Communications Definition
(19.2) Data on timber harvests or deforestation Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2014 Date, Definition
(19.2) Data on timber harvests or deforestation Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021 Date, Definition
(19.3) Data on mining or extractive activities Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016 Date, Definition
(19.3) Data on mining or extractive activities Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021 Date, Definition
(19.4) Water consumption Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016 Date, Definition
(19.4) Water consumption Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021 Date, Definition
(20.1) Energy consumption Comprehensive energy statistics 2020, Comprehensive energy statistics 2018, Comprehensive energy statistics 2015 Source, Date, Definition
(20.2) Energy supply Comprehensive energy statistics 2015, Comprehensive energy statistics 2020, Comprehensive energy statistics 2018 Source, Date, Definition
(21.1) Greenhouse gas emissions Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016 Date, Definition
(21.1) Greenhouse gas emissions Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021 Date, Definition
(21.2) Emissions of air or water pollutants Japan Statistical Yearbook 2017, Japan Statistical Yearbook 2014 Date, Definition
(21.2) Emissions of air or water pollutants Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021 Date, Definition
(22.1) Proportion of households with access to water Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2017 Date, Definition
(22.1) Proportion of households with access to water Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021 Date, Definition
(22.2) Proportion of households with access to sanitation Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016 Date, Definition
(22.2) Proportion of households with access to sanitation Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021 Date, Definition
(22.3) Number of rooms or bedrooms System of Social and Demographic Statistics H Dwelling: Prefecture, System of Social and Demographic Statistics H Dwelling: Municipality Definition
(22.5) Data on housing construction materials Ministry of Internal Affairs and Communications, Ministry of Internal Affairs and Communications Definition

7 ODIN indicators were available in datasets that did not include data points for 6 of the last 10 years. It is important to publish historical data, if they exist, and not only recent data. Below is a table of the ODIN indicators for which data for less than 6 of the last 10 years was published.

ODIN Indicator Disaggregation Found URL Years Found
(5.2) Diseases prevalence Age, Sex, Disease Type Japan Statistical Yearbook 2017 2014,2017
(7.3) Prevalence of obesity Sex, Age Incidence of obese children by prefecture 2015,2016,2017,2018
(8.3) Data on child marriages for girls None Ministry of Health Labour and Welfare 2015
(10.1) Poverty rate None Ministry of Internal Affairs and Communications 2014,2019
(10.2) Distribution of income by deciles or Gini coefficient None National Survey of Family Income and Expenditure 2014 2014,2019
(22.3) Number of rooms or bedrooms None System of Social and Demographic Statistics H Dwelling: Prefecture, System of Social and Demographic Statistics H Dwelling: Municipality 2013,2018
(22.5) Data on housing construction materials Material Type Ministry of Internal Affairs and Communications, Ministry of Internal Affairs and Communications 2013,2018

8 ODIN indicators were available in datasets that did not include data points for 3 of the last 5 years. It is important to publish recent data, if they exist, and not only time series data. Below is a table of the ODIN indicators where data for less than 3 of the last 5 years was published.

ODIN Indicator Disaggregation Found URL Years Found
(5.2) Diseases prevalence Age, Sex, Disease Type , Reviewer note: This year separated as it is available in XLSX. Reviewer note: Statistical Yearbooks are available under other years, but the data available for download still just provides data for 2017 at the most recent. 2014,2017
(7.3) Prevalence of obesity Sex, Age Incidence of obese children by prefecture 2015,2016,2017,2018
(8.3) Data on child marriages for girls None Removed definition credit from metadata. Same data as last assessment otherwise. 2015
(10.1) Poverty rate None Same data as last assessment, Added for 2019 2014,2019
(10.2) Distribution of income by deciles or Gini coefficient None Same data as last assessment, Added for 2019 2014,2019
(22.1) Proportion of households with access to water Water Supply Type Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2017 2012,2013,2014,2015,2016,2017,2018
(22.3) Number of rooms or bedrooms None Same data as last assessment 2013,2018
(22.5) Data on housing construction materials Material Type Same data as last assessment 2013,2018

19 ODIN indicators were available in datasets that did not include data at the subnational geographic level. Disaggregation of indicators at the subnational level is one of the key elements to effectively monitor development of a country and ensure certain groups of people are not left behind. Below is a table of the ODIN indicators where data was only made available at the national level.

ODIN Indicator Disaggregation Found URL
(5.2) Diseases prevalence Sex, Disease Type Japan Statistical Yearbook 2017, Japan Statistical Yearbook 2022
(6.2) Infant mortality rate or neonatal mortality rate Sex Ministry of Health Labour and Welfare
(6.6) Adolescent birth rate None Ministry of Health Labour and Welfare
(8.3) Data on child marriages for girls None Ministry of Health Labour and Welfare
(9.3) Data on prison population Age, Sex, Sentencing Status Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2016, Japan Statistical Yearbook 2013
(10.1) Poverty rate None Ministry of Internal Affairs and Communications, Consumption and Wealth 2019 National Survey of Family Income
(11.1) Gross domestic product (production approach) Industry Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2019, Japan Statistical Yearbook 2022
(11.2) Gross domestic product (expenditure approach) Expenditure Categories Cabinet Office
(11.3) Gross domestic product (income approach) Income Components Japan Statistical Yearbook 2019, Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2022
(13.2) Producers price index None Bank of Japan, Bank of Japan
(14.1) Actual revenues Revenue Source Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2022
(14.2) Actual expenditures Administrative Classification, Economic Classification, Functional Classification Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2012
(18.3) Commodity production Commodity Type Statistical Yearbook 2015, Statistical Yearbook 2017, Statistical Yearbook 2022
(19.2) Data on timber harvests or deforestation None Japan Statistical Yearbook 2015, Japan Statistical Yearbook 2014, Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021
(19.3) Data on mining or extractive activities Raw material type Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016, Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021
(19.4) Water consumption Sector Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016, Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021
(21.1) Greenhouse gas emissions Gas Type Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2016, Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021
(21.2) Emissions of air or water pollutants Pollutant Type Japan Statistical Yearbook 2017, Japan Statistical Yearbook 2014, Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021
(22.1) Proportion of households with access to water Water Supply Type Japan Statistical Yearbook 2018, Japan Statistical Yearbook 2017, Japan Statistical Yearbook 2022, Japan Statistical Yearbook 2021

Country Context

To understand a country’s commitment to open data, it is important to look at ODIN scores in context. The information below includes assessments of the country’s statistical capacity, links to relevant laws, and comparative measures of the country’s performance on other measures of data coverage, openness, and government transparency.

Statistical Performance Indicators

The World Bank’s Statistical Performance Indicators measure the capacity and maturity of national statistical systems by assessing the use of data, the quality of services, the coverage of topics, the sources of information, and the infrastructure and availability of resources. The goal is to improve development outcomes and track progress toward the Sustainable Development Goals.

Overall Score
86%
Data Use Score
90%
Data Services Score
91%
Data Products Score
74%
Data Sources Score
80%
Data Infrastructure Score
95%

Global Data Barometer

The Global Data Barometer is a project of the Data for Development Network that aims to measure the state of data in relation to urgent societal issues. It seeks to appraise data availability, governance, capability and use around the world to help shape data infrastructures that limit risks and harms in climate action, company information, health and COVID-19, land, political integrity, public finance and public procurement.

Overall Score
-%
Governance Score
-%
Capability Score
-%
Availability Score
-%
Use and Impact Score
-%

Legal Framework

Data Commitments

National Data Strategy

National data strategies or National Strategies for the Development of Statistics (NSDS) provide a country with a strategy for developing statistical capacity across the entire national statistical system (NSS). It presents the statistics office’s priorities for the next 5-10 years.

Japan does not have a national data strategy.

IMF Standards for Data Dissemination

Data dissemination standards enhance the availability of timely and comprehensive statistics, which contributes to sound macroeconomic policies and the efficient functioning of financial markets.

Japan is an SDDS+ Subscriber.

Open Data Charter (ODC)

The ODC is a collaboration between over 100 governments and organisations working to open up data based on a shared set of seven principles.

Japan has not adopted the charter.

Open Government Partnership (OGP)

OGP is a multilateral initiative that aims to secure concrete commitments from national and subnational governments to promote open government, empower citizens, fight corruption, and harness new technologies to strengthen governance.

Japan is not a participant.

Index Comparison

Click on the index name on the vertical axis to view the country data from the managing organization’s website.

All scores have been converted to a 100 point scale.