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1/1986Page
  • Statistics name
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  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025
  • Update date  2026-04-24
  • EXCEL
    Report
Statistical Tables 1 Monthly Prices and Annual Average Prices by Item - Cities with Prefectural Government and Cities with Population of 150,000 <15> [3001 House rent, private] - [3121 Materials for repairs and maintenance]
File:hood built-in dishwasher I [frontage] 255cm [the material top panel] engineered stone [height counter] 85cm , パイン，〔サイズ〕厚さ14～18mm・幅300mm・長さ900～910mm 1枚･1sheet Materials repairs maintenance Board bonded wood pine 18mm
  • Trade Statistics
  • Trade Statistics Data for Japan / Principal Commodity by Commodity / Export
  • Survey date  2026Apr.
  • Update date  2026-05-28
  • CSV
Detailed 26-03 Commodity (Export Jan-Apr:Detailed) "2" CRUDE MATERIALS, INEDIBLE
File:-Feb Quantity2-Feb Value-Feb Quantity1-Mar Quantity2-Mar Value-Mar Quantity1-Apr Quantity2-Apr Value-Apr Quantity1-May Quantity2-May Value-May Quantity1-Jun Quantity2-Jun Value-Jun Quantity1-Jul Quantity2-Jul Value-Jul Quantity1
  • Trade Statistics
  • Trade Statistics Data by all Customs / Customs by Principal Commodity / Export
  • Survey date  2026Apr.
  • Update date  2026-05-28
  • CSV
Detailed 26-03 Commodity (Export Jan-Apr:Detailed) "2" CRUDE MATERIALS, INEDIBLE
File: Quantity-Mar Value-Mar Quantity-Apr Value-Apr Quantity-May Value-May Quantity-Jun Value-Jun Quantity-Jul Value-Jul Quantity-Aug Value-Aug Quantity-Sep Value-Sep Quantity-Oct Value-Oct Quantity-Nov Value-Nov
  • Trade Statistics
  • Trade Statistics Data by all Customs / Customs by Country by Principal Commodity / Export
  • Survey date  2026Apr.
  • Update date  2026-05-28
  • CSV
Detailed 26-03 Commodity (Export Jan-Apr:Detailed) "2" CRUDE MATERIALS, INEDIBLE
File: Quantity-Mar Value-Mar Quantity-Apr Value-Apr Quantity-May Value-May Quantity-Jun Value-Jun Quantity-Jul Value-Jul Quantity-Aug Value-Aug Quantity-Sep Value-Sep Quantity-Oct Value-Oct Quantity-Nov Value-Nov
  • Housing and Land Survey
  • 2023 Housing and Land Survey / Statistical Tables (Time Series)
  • Survey date  2023
  • Update date  2025-09-30
  • EXCEL
    Report
Tenure of Dwelling, Type of Building, Construction Material and Stories of Building 8 Dwellings by Construction Material (4 Groups) - Japan (1978~2023)
File: 昭和53年～令和５年 Table 8. Dwellings by Construction Material Groups Japan 1978~2023 調査年 総数 構造　　　　　Construction material 木造　　　　　Wooden 非木造　　　　　Non-wooden 木造 防火木造 鉄筋・鉄骨
  • Economic Census for Business Frame
  • 2025 Economic Census for Business Frame / National and Local Governments / Tabulation of Newly Grasped Establishments
  • Survey date  2025Jun.
  • Update date  2026-05-29
  • EXCEL DB
1 Establishments , Persons Engaged, Regular Employees , by Industry Groups and Legal Organization (4 Groups), for Japan
File:only refractory pottery porcelain glass cement materials 059_Miscellaneous D Construction D_Construction , Machinery 263_Textile 264_Daily lives 265_Basic material 266_Metalworking 267_Semiconductor flat-panel
  • 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)
File:DecSummary WORLD Total Value Index Unit Quantum *Raw Materials *Manufs Food-stuff Fish & Shellfish Textiles , Cigarettes Feeding-Stuff Raw Metallic Ore Copper Raw Materials Oil Seeds Soy Beans Crude Rubber Wood Log Sawn Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries with united Kingdom excluded, while indexes until 2014 December are based on 28 countries.
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-5 Employed person by industry and occupation
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: Administrative managerial workers Professional engineering Clerical , School education Medical health welfare other Public Social social Compound Cooperative associations Waste disposal Automobile etc.
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2026May
  • Update date  2026-05-29
  • CSV DB
Ku-area of Tokyo 1 Indices of Items (January 1970 - the Recent Month)
File:hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients Grilled “Kimpira” Roast , douche Hot-water supply equipment kitchen Carports Materials Service charges “Tatami” reupholstering Plumbing
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2026May
  • Update date  2026-05-29
  • CSV DB
Ku-area of Tokyo 2 Indices of Items; Percentage change from the previous month (February
File:hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients Grilled “Kimpira” Roast , douche Hot-water supply equipment kitchen Carports Materials Service charges “Tatami” reupholstering Plumbing
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2026May
  • Update date  2026-05-29
  • CSV DB
Ku-area of Tokyo 3 Indices of Items; Percentage change over the year (January 1971
File:hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients Grilled “Kimpira” Roast , douche Hot-water supply equipment kitchen Carports Materials Service charges “Tatami” reupholstering Plumbing
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report
5 Indices of Items and Contribution to change of All Items Index for Monthly
File:Frozen“Gyoza” 調理カレー 混ぜごはんのもと “Mazegohan no moto” materials assorted ingredients 煮豆 焼き魚 Grilled きんぴら “Kimpira , equipment システムキッチン kitchen カーポート Carports 修繕材料 Materials 工事その他のサービス Service charges 畳替え代 “Tatami” reupholstering
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-11-1 Average weekly hours of work by industry and occupation
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: managerial workers Professional engineering Clerical , School education Medical health welfare other Public Social social Compound Cooperative associations Waste disposal Automobile etc.
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-11-3 Average monthly hours of work by industry and occupation
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: managerial workers Professional engineering Clerical , School education Medical health welfare other Public Social social Compound Cooperative associations Waste disposal Automobile etc.
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-11-2 Average monthly days of work by industry and occupation
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: managerial workers Professional engineering Clerical , School education Medical health welfare other Public Social social Compound Cooperative associations Waste disposal Automobile etc.
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-3 Employed person by industry, occupation, weekly hours of work and status in employment
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: non-ferrous metals fabricated metal general-purpose machinery , associations Waste disposal Automobile maintenance Machine , Administrative managerial workers engineering Engineers Health
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-6 Employee by industry and type of organization
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: non-ferrous metals fabricated metal general-purpose machinery , care welfare other Public hygiene Social social Compound Cooperative associations Waste disposal Automobile maintenance Machine
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-2-1 Employed persons by age and industry
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: quarrying of stone gravel Construction Manufacturing Electricity gas heat supply water Information , metal general-purpose machinery production business oriented , Public hygiene Social social Cooperative associations Waste disposal Automobile
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-2-2 Employee by age and industry
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: quarrying of stone gravel Construction Manufacturing Electricity gas heat supply water Information , metal general-purpose machinery production business oriented , Public hygiene Social social Cooperative associations Waste disposal Automobile
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Basic Tabulation
  • Survey date  2026Apr.
  • Update date  2026-05-29
  • EXCEL
    Report         DB
Employed persons II-1 Employed persons by industry, status in employment, type of employment (employee by number of persons engaged in enterprise) and duration of
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: non-ferrous metals fabricated metal general-purpose machinery , care welfare other Public hygiene Social social Compound Cooperative associations Waste disposal Automobile maintenance Machine
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2026May
  • Update date  2026-05-29
  • CSV DB
Ku-area of Tokyo 1 Goods and Service Group Index (January 1970 - the Recent Month)
File: Other agricultural Rice Industrial products Food Textiles Petroleum Other industrial Electricity manufactured piped gas water , forwarding communication education culture recreation General private private
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2026May
  • Update date  2026-05-29
  • CSV DB
Ku-area of Tokyo 3 Goods and Service Group Index; Percentage change over the year
File: Other agricultural Rice Industrial products Food Textiles Petroleum Other industrial Electricity manufactured piped gas water , forwarding communication education culture recreation General private private
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Detailed Tabulation
  • Survey date  2025Jan.-Mar.
  • 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 statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Detailed Tabulation
  • Survey date  2024Jan.-Mar.
  • 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 statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Detailed Tabulation
  • Survey date  2023Jan.-Mar.
  • 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 statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / Detailed Tabulation
  • Survey date  2022Jan.-Mar.
  • 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 statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Old criteria : 2015 Census-based benchmark population) / Statistical table (Detailed results for each period) ( / Detailed Tabulation
  • Survey date  2021Jan.-Mar.
  • 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 statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Old criteria : 2015 Census-based benchmark population) / Statistical table (Detailed results for each period) ( / Detailed Tabulation
  • Survey date  2020Jan.-Mar.
  • Update date  2026-05-29
  • EXCEL DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Old criteria : 2015 Census-based benchmark population) / Statistical table (Detailed results for each period) ( / Detailed Tabulation
  • Survey date  2019Jan.-Mar.
  • Update date  2026-05-29
  • EXCEL DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Old criteria : 2015 Census-based benchmark population) / Statistical table (Detailed results for each period) ( / Detailed Tabulation
  • Survey date  2018Jan.-Mar.
  • Update date  2026-05-29
  • EXCEL DB Errata
Population of 15 years old and over I-1 Population aged 15 years old and over by labour force statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / 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 statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / 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 statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) ( / 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 statusseeking a job,reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour Force Survey is revised every five years because the Population Estimates are , data (the intercensal-level adjustment data or the retroactive File: income earning school expense housework child-rearing nursing care short commute time utilizing specialized , find better marriage childbirth caring sick member schooling , underemployment unemployed who quitted involuntary potential
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1/1986Page
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  • For details of each statistical survey, please refer to the homepage above.
  • Information on relevant government statistics such as "Survey outline", "Survey results", "Attention on use", "Release schedule", and "Contact" are posted on the website of each ministry. Please use it before using the statistical tables.

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