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  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2026Apr.
  • Update date  2026-05-28
  • CSV
D & P 26-01 Trade Indexes (Jan-Apr:D & P)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 0.00Unit Laspeyres formula Passhe Fisher 0Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2025Dec.
  • Update date  2026-03-12
  • CSV
Revised 25-01 2025. Trade Indexes (Jan-Dec:Revised)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 93.26Unit Laspeyres formula Passhe Fisher 206.41Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2023Dec.
  • Update date  2025-12-25
  • CSV
Fixed 23-01 2023. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 85.09Unit Laspeyres formula Passhe Fisher 157.83Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2022Dec.
  • Update date  2025-12-25
  • CSV
Fixed 21-01 2022. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 77.02Unit Laspeyres formula Passhe Fisher 169.34Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2020Dec.
  • Update date  2025-12-25
  • CSV
Fixed 20-12-01 2020. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 101.19Unit Laspeyres formula Passhe Fisher 90.31Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2024Dec.
  • Update date  2025-12-25
  • CSV
Fixed 24-01 2024. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 89.76Unit Laspeyres formula Passhe Fisher 164.95Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2021Dec.
  • Update date  2025-12-25
  • CSV
Fixed 21-12-01 2021. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 84.97Unit Laspeyres formula Passhe Fisher 122.29Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2004Dec.
  • Update date  2023-11-29
  • CSV
Fixed 04-12-01 2004. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:goods Footwear Sporting Plastic Terms Classification Trade 101.16Unit Laspeyres formula Passhe Fisher 75.8Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2003Dec.
  • Update date  2023-11-29
  • CSV
Fixed 03-12-01 2003. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:goods Footwear Sporting Plastic Terms Classification Trade 103.26Unit Laspeyres formula Passhe Fisher 68.45Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2019Dec.
  • Update date  2023-11-29
  • CSV
Fixed 19-12-01 2019. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 91.11Unit Laspeyres formula Passhe Fisher 125.47Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2018Dec.
  • Update date  2023-11-29
  • CSV
Fixed 18-12-01 2018. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 89.73Unit Laspeyres formula Passhe Fisher 110.04Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2017Dec.
  • Update date  2023-11-29
  • CSV
Fixed 17-12-01 2017. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 91.59Unit Laspeyres formula Passhe Fisher 162.18Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2016Dec.
  • Update date  2023-11-29
  • CSV
Fixed 16-12-01 2016. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 94.11Unit Laspeyres formula Passhe Fisher 168.81Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2015Dec.
  • Update date  2023-11-29
  • CSV
Fixed 15-12-01 2015. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 92.77Unit Laspeyres formula Passhe Fisher 186.78Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2014Dec.
  • Update date  2023-11-29
  • CSV
Fixed 14-12-01 2014. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 83.72Unit Laspeyres formula Passhe Fisher 180.54Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2013Dec.
  • Update date  2023-11-29
  • CSV
Fixed 13-12-01 2013. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 80.02Unit Laspeyres formula Passhe Fisher 156.53Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2012Dec.
  • Update date  2023-11-29
  • CSV
Fixed 12-12-01 2012. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 84.78Unit Laspeyres formula Passhe Fisher 130.74Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2011Dec.
  • Update date  2023-11-29
  • CSV
Fixed 11-12-01 2011. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 81.44Unit Laspeyres formula Passhe Fisher 110.39Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2010Dec.
  • Update date  2023-11-29
  • CSV
Fixed 10-12-01 2010. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 87.94Unit Laspeyres formula Passhe Fisher 120.18Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2009Dec.
  • Update date  2023-11-29
  • CSV
Fixed 09-12-01 2009. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 90.31Unit Laspeyres formula Passhe Fisher 113.86Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2008Dec.
  • Update date  2023-11-29
  • CSV
Fixed 08-12-01 2008. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 88.05Unit Laspeyres formula Passhe Fisher 123.1Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2007Dec.
  • Update date  2023-11-29
  • CSV
Fixed 07-12-01 2007. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 80.26Unit Laspeyres formula Passhe Fisher 118.48Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2006Dec.
  • Update date  2023-11-29
  • CSV
Fixed 06-12-01 2006. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 89.60Unit Laspeyres formula Passhe Fisher 187.72Summary
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2005Dec.
  • Update date  2023-11-29
  • CSV
Fixed 05-12-01 2005. Trade Indexes (Jan-Dec:Fixed)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries File:Sporting Plastic Toys Indoor Games Terms Classification Trade 89.49Unit Laspeyres formula Passhe Fisher 113.8Summary
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Historical data / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
[Monthly figures - Results of whole Japan] Employee by major industry (Original series) 1-d-3 Employee by industries [12th, 13th and 14th revision industrial classification since Jan. 2002
File:回改定日本標準産業分類】 全国、月別結果 [Basic Tabulation] Historical data d-3 Employee by major industry [12th 13th and 14th , communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing , Standard Industrial Classification JSIC With 12th Statistics Bureau started providing new classification from
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Historical data / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
[Monthly figures - Results of whole Japan] Employed person by major industry (Original series) 1-c-3 Employed person by industries [12th, 13th and 14th revision industrial classification] since Jan. 2002
File:回改定日本標準産業分類】 全国、月別結果 [Basic Tabulation] Historical data c-3 Employed person by major industry [12th 13th , communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing , Standard Industrial Classification JSIC With 12th Statistics Bureau started providing new classification from
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2026Apr.
  • Update date  2026-05-18
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-1 Road traffic accidents, fatalities and injuries by prefecture (monthly)
Description of Statistics:Traffic road statistics is official statistics that is based on the data , Paragraph 1, Item 1 of the Road Traffic Act. This Statistics is utilized effectively for formulating Traffic File:prefecture monthly） in April Traffic accidents（Provisional） Fatalities Injuries（Provisional） Prefectures , monthly） in April Prefectures Traffic accidents（Provisional） Fatalities Injuries（Provisional） Compared with
  • Vital Statistics
  • Vital Statistics / Vital statistics of Japan / Final data / Summary
  • Survey date  2024
  • Update date  2025-09-16
  • CSV
Volume 1 3-3-1 Summary tables of vital statistics: Japan, each prefecture (special wards and specified
Description of Statistics:The Vital Statistics Survey takes into account all births, deaths, , Japan concerning persons of Japanese nationality. Statistics of events concerning Japanese nationals abroad , ) Symbols used in tables - Magnitude zero ... Data not available . Category not applicable 0.0 Figure File:Vital statistics of Japan Volume Summary Table tables vital statistics , wards and specified cities Note: The prefecture-wise data is based on the address child for live births，the , given in Population Estimates October 1，2024 by Statistics Bureau Japan，　　　　 whereas total estimated each
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report
Population aged 15 years old and over I-8 Population aged 15 years old and over by labour force status in the previous and this month, industries and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:tions Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2026Apr.
  • Update date  2026-05-18
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-2 Road traffic accidents, fatalities and injuries by prefecture (from the beginning of the year to the present month
Description of Statistics:Traffic road statistics is official statistics that is based on the data , Paragraph 1, Item 1 of the Road Traffic Act. This Statistics is utilized effectively for formulating Traffic File:year to present month） April Traffic accidents（Provisional） Fatalities Injuries（Provisional） Prefectures , present month） April Prefectures Traffic accidents（Provisional） Fatalities Injuries（Provisional） Compared with
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Detailed Tabulation
  • Survey date  2026Jan.-Mar.
  • Update date  2026-05-15
  • EXCEL
    Report         DB
Population of 15 years old and over I-4 Population aged 15 years old and over by industry of the previous job, occupation of the previous job,when left labour force status (person who worked as a non-agricultural employee
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2026Mar.
  • Update date  2026-04-17
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-1 Road traffic accidents, fatalities and injuries by prefecture (monthly)
Description of Statistics:Traffic road statistics is official statistics that is based on the data , Paragraph 1, Item 1 of the Road Traffic Act. This Statistics is utilized effectively for formulating Traffic File:prefecture monthly） in March Traffic accidents（Provisional） Fatalities Injuries（Provisional） Prefectures , monthly） in March Prefectures Traffic accidents（Provisional） Fatalities Injuries（Provisional） Compared with
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2026Apr.
  • Update date  2026-05-18
  • EXCEL
    Report
Traffic accidents situation(year to April,2026)
Description of Statistics:Traffic road statistics is official statistics that is based on the data , Paragraph 1, Item 1 of the Road Traffic Act. This Statistics is utilized effectively for formulating Traffic File:beginning year to present month） Table4-3 Fatalities ※1 Data using this report was collected May 2026. Some total , Compared with End Change Percentage change accidents（Provisional） Injuries（Provisional） 1-2 1-2　Traffic Month , calculated 100. 2-3 2-3　Trends Population capita data on basis national census population estimate 1st
  • Vital Statistics
  • Vital Statistics / Vital statistics of Japan / Final data / Summary
  • Survey date  2024
  • Update date  2026-01-15
  • EXCEL
Volume 1 3-4 International comparison of vital statistics
Description of Statistics:The Vital Statistics Survey takes into account all births, deaths, , Japan concerning persons of Japanese nationality. Statistics of events concerning Japanese nationals abroad , ) Symbols used in tables - Magnitude zero ... Data not available . Category not applicable 0.0 Figure File:人口動態 Table3-4 International comparison of vital statistics 出生数・出生率（人口千対）　　Live births and live birth rates , （出生千対）　　Infant infant mortality Source：“Vital Statistics” the Ministry Health Labour Welfare for data
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2026Mar.
  • Update date  2026-04-28
  • EXCEL
    Report
Population aged 15 years old and over I-8 Population aged 15 years old and over by labour force status in the previous and this month, industries and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:tions Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2026Jan.-Mar.
  • Update date  2026-04-28
  • EXCEL
    Report
Population aged 15 years old and over I-8 Population aged 15 years old and over by labour force status in the previous and this month, industries and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:tions Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2026Mar.
  • Update date  2026-04-17
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-2 Road traffic accidents, fatalities and injuries by prefecture (from the beginning of the year to the present month
Description of Statistics:Traffic road statistics is official statistics that is based on the data , Paragraph 1, Item 1 of the Road Traffic Act. This Statistics is utilized effectively for formulating Traffic File:year to present month） March Traffic accidents（Provisional） Fatalities Injuries（Provisional） Prefectures , present month） March Prefectures Traffic accidents（Provisional） Fatalities Injuries（Provisional） Compared with
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2026-05-29
  • EXCEL
    Report         DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force status for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work,reason not to seek a job and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:old and over by labour force status began work for the past , leaving previous duration of unemployment kind sought whether , schooling because poor condition health Newly started Graduated from Necessary
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Detailed Tabulation
  • Survey date  2024Apr.-Jun.
  • Update date  2026-05-29
  • EXCEL
    Report         DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force status for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work,reason not to seek a job and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:old and over by labour force status began work for the past , leaving previous duration of unemployment kind sought whether , schooling because poor condition health Newly started Graduated from Necessary
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Detailed Tabulation
  • Survey date  2023Apr.-Jun.
  • Update date  2026-05-29
  • EXCEL
    Report         DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force status for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work,reason not to seek a job and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:old and over by labour force status began work for the past , leaving previous duration of unemployment kind sought whether , schooling because poor condition health Newly started Graduated from Necessary
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Detailed Tabulation
  • Survey date  2022Apr.-Jun.
  • Update date  2026-05-29
  • EXCEL
    Report         DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force status for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work,reason not to seek a job and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:old and over by labour force status began work for the past , leaving previous duration of unemployment kind sought whether , schooling because poor condition health Newly started Graduated from Necessary
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Detailed Tabulation
  • Survey date  2025
  • Update date  2026-05-29
  • EXCEL
    Report         DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force status for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work,reason not to seek a job and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:old and over by labour force status began work for the past , leaving previous duration of unemployment kind sought whether , schooling because poor condition health Newly started Graduated from Necessary
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Detailed Tabulation
  • Survey date  2024
  • Update date  2026-05-29
  • EXCEL
    Report         DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force status for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work,reason not to seek a job and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:old and over by labour force status began work for the past , leaving previous duration of unemployment kind sought whether , schooling because poor condition health Newly started Graduated from Necessary
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Detailed Tabulation
  • Survey date  2023
  • Update date  2026-05-29
  • EXCEL
    Report         DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force status for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work,reason not to seek a job and age
Description of Dataset category 1:Responding to the revision, in order to remove the gaps, data from October 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive adjustment data).
On the other hand, figures on the databases File:old and over by labour force status began work for the past , leaving previous duration of unemployment kind sought whether , schooling because poor condition health Newly started Graduated from Necessary
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