• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Summary (Main results for each period, Press release) / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL

2-3 Unemployed persons (ILO 2013) by reason unable to take up a job

File:unable to take up a job Total Not satisfied with the salary of available Unfavorable working hours and days

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Summary (Main results for each period, Press release) / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL

3-2 Persons not in labour force wishing to work by reason not to seek a

File:own knowledge skill with favorable working hours salary etc. under current economic situation season Actual

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Summary (Main results for each period, Press release) / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL

Population of 15 years old and over by labour force statusemployed persons, unemployed persons, persons not in labour force and labour underutilization

File:less reason unable take up a job satisfied with salary available Unfavorable working hours days Limited

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report DB

Not in Labour Force IV-5 Not in labour force who wishing to work by kind of job wishednot to seek a job, whether/when sought a job or prepared a business and when able to take a job

File:own knowledge skill with favorable working hours salary etc. under current economic situation season For Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report DB

Not in Labour Force IV-3 Not in labour force who wishing to work by whether/when sought a job or prepared a business, age, type of household, relationship

File:own knowledge skill with favorable working hours salary etc. under current economic situation season Whether Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report DB

Unemployed person (ILO 2013) III-1 unable to take up a job, age, type of household, relationship to the head of household, kind of job sought

File:Duration Quitted Newly started Not satisfied with salary available Unfavorable working hours days Limited Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report

Household V-4 Population of 15 years old and over (one-person household) by labour force status, status in employment, type of employmentwhether began work or changed jobs for the past year, reason for seeking a job, reason for leaving the

File:suitable own knowledge skill favorable working hours salary etc. under current economic situation season Waiting Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report DB

Unemployed person (ILO 2013) III-3 Unemployed person (ILO 2013) by age, type of household, relationship to the head of household, kind of job soughtunemployment, and preference for employment as primary or secondary activity

File:health More ago Within In past Not satisfied with salary available Unfavorable working hours days Limited Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report

Unemployed person (ILO 2013) III-2 unable to take up a job, age,type of household, relationship to the head of household, kind of job sought

File:Duration Quitted Newly started Not satisfied with salary available Unfavorable working hours days Limited Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report

Population of 15 years old and over I-3 Population aged 15 years old and over by labour force statuswork, reason not to seek a job, age, education and relationship to the head of household

File:suitable own knowledge skill favorable working hours salary etc. under current economic situation season Waiting Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report DB

Population of 15 years old and over I-1 Population aged 15 years old and over by labour force status, began work for the past year,changed jobs for the past year, reason for taking a non-regular employment, reason for seeking a job,reason for

File:suitable own knowledge skill with favorable hours salary etc. under current economic situation season Waiting Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report

Unemployed person (ILO 2013) III-6 unable to take up a job, whether had a job, industry of the previous job, occupation of the previous job

File:because poor condition health Not satisfied with salary available Unfavorable working hours days Limited Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Detailed Tabulation
• Survey date  2025Jul.-Sep.
• Update date  2025-11-11
• EXCEL
  Report DB

Unemployed person (ILO 2013) III-4 Unemployed person (ILO 2013) by type of household, relationship to the head of household, education, age, duration of unemployment, industry of the previous job, occupation of the previous job

File:Newly started seek regrouped Not satisfied with salary available Unfavorable working hours days Limited Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment

• Statistics about Road Traffic
• Traffic accidents situation
• Survey date  2025Nov.
• Update date  2025-12-16
• CSV EXCEL
  Report

3 Traffic death accidents 3-4 Trends in fatal accidents caused by licensed vehicle driver (primary party) by type of violation

Description of Statistics: the prefectural police, which is targeted at accidents involving fatalities or injuries caused by vehicles, streetcars and , This Statistics is utilized effectively for formulating Traffic Safety Measures and preventing from traffic File:3-4　Trends in fatal accidents caused by licensed vehicle driver primary , 3-4 3-4　Trends in fatal accidents caused by licensed vehicle driver primary , /A Total * Indices are calculated 100.

• Statistics about Road Traffic
• Traffic accidents situation
• Survey date  2025Nov.
• Update date  2025-12-16
• CSV EXCEL
  Report

3 Traffic death accidents 3-5 Fatal accidents caused by licensed vehicle driver (primary party) by type of violation and age group

Description of Statistics: the prefectural police, which is targeted at accidents involving fatalities or injuries caused by vehicles, streetcars and , This Statistics is utilized effectively for formulating Traffic Safety Measures and preventing from traffic File:3-5 3-5　Fatal accidents caused by licensed vehicle driver primary , ～ 35～ 40～ 45～ 50～ 55～ 60～ 65～ 70～ 75～ 80～ over Total Type Disregarding traffic signal Road or lane infringement , 3-5　Fatal accidents caused by licensed vehicle driver primary

• Statistics about Road Traffic
• Traffic accidents situation
• Survey date  2025Nov.
• Update date  2025-12-16
• EXCEL
  Report

Traffic accidents situation(year to November,2025)

Description of Statistics: the prefectural police, which is targeted at accidents involving fatalities or injuries caused by vehicles, streetcars and , This Statistics is utilized effectively for formulating Traffic Safety Measures and preventing from traffic File:） Injuries（Provisional） 1-2 1-2　Traffic Month Per Component ratio January February March April May June July August September October , Commercial Minicar Special Agricultural Large-sized Small-sized

• Statistics about Road Traffic
• Traffic accidents situation
• Survey date  2025Nov.
• Update date  2025-12-16
• CSV EXCEL
  Report

4 Traffic accident occurrence by prefecture 4-3 Fatalities of elderly persons (aged 65+) by prefecture

Description of Statistics: the prefectural police, which is targeted at accidents involving fatalities or injuries caused by vehicles, streetcars and , This Statistics is utilized effectively for formulating Traffic Safety Measures and preventing from traffic File: to November Total Elderly Fatalities Population prefectures number , Total *　Per capita data is calculated on the basis population estimate as October 1st before interpolation correction in compiled Ministry Internal Affairs

• Current Survey on Orders Received for Construction
• Current Survey on Orders Received for Construction / Current Survey on Orders Received for Construction / Private secter
• Survey date  2025Oct.
• Update date  2025-12-10
• EXCEL

Value of Contracts

File:exceeds million yen） engineering　work and machine　installation　work Work yen Unit :million % Ｔｏｔａｌ ａｍｏｕｎｔ , Electric power Gas Transportation Communication Wholesale retail Finannce Real estate Services activities Others The ratio of forestry Steam Hot trade eating Insurance the previous year

• Current Survey on Orders Received for Construction
• Current Survey on Orders Received for Construction / Current Survey on Orders Received for Construction / Public secter
• Survey date  2025Oct.
• Update date  2025-12-10
• EXCEL

Value of Contracts

File: Enterprises Repeated listing Prefectures Cities wards towns and local Others Administrative central Organizations , ｓａｍｅ ｐｅｒｉｏｄ Institution ｇｏｖｅｒｍｅｎｔ etc then a country vilages goverment fy 2024. 4-2024.10 2025. 4-2025.10 , inconvenience to release “Change the same period” we had released "Repeated listing" as total

• National Accounts
• Quarterly Estimates of GDP / Latest Data / The Second Preliminary
• Survey date  2025Jul.-Sep.
• Update date  2025-12-08
• CSV

Deflators (quarter) Changes from the previous term

File:四半期デフレーター原系列 前年同期比 2020暦年＝100 単位:％ Deflators Original Series Year-over-Year Percent Change Calendar Year of = % 家計最終消費支出（再掲） 形態別総固定資本形成 総資本形成 財貨 , OtherMachinery andEquipment etc. IntellectualPropertyProducts Net

• National Accounts
• Quarterly Estimates of GDP / Latest Data / The Second Preliminary
• Survey date  2025Jul.-Sep.
• Update date  2025-12-08
• CSV

Deflators (quarter) Amount

File:四半期デフレーター原系列 2020暦年＝100 Deflators Original Series Calendar Year of = 家計最終消費支出（再掲 , inInventories Goods & ResidentialInvestment Other Buildingsand Structures TransportEquipment OtherMachinery andEquipment etc. IntellectualPropertyProducts Net

• National Accounts
• Quarterly Estimates of GDP / Latest Data / The Second Preliminary
• Survey date  2025Jul.-Sep.
• Update date  2025-12-08
• CSV

Deflators (fiscal year) Amount

File:年度デフレーター 2020暦年＝100 Deflators Fiscal Year Calendar Year of = 家計最終消費支出（再掲） 形態別総固定資本形成 , inInventories Goods & ResidentialInvestment Other Buildingsand Structures TransportEquipment OtherMachinery andEquipment etc. IntellectualPropertyProducts Net

• National Accounts
• Quarterly Estimates of GDP / Latest Data / The Second Preliminary
• Survey date  2025Jul.-Sep.
• Update date  2025-12-08
• CSV

Deflators (calendar year) Amount

File:暦年デフレーター 2020暦年＝100 Deflators Calendar Year Year of = 家計最終消費支出（再掲） 形態別総固定資本形成 , inInventories Goods & ResidentialInvestment Other Buildingsand Structures TransportEquipment OtherMachinery andEquipment etc. IntellectualPropertyProducts Net

• National Accounts
• Quarterly Estimates of GDP / Latest Data / The Second Preliminary
• Survey date  2025Jul.-Sep.
• Update date  2025-12-08
• CSV

Deflators (fiscal year) Changes from the previous year

File:年度デフレーター 前年度比 2020暦年＝100 単位:％ Deflators Fiscal Year Annual Percent Change Calendar of , inInventories Goods & ResidentialInvestment Other Buildingsand Structures TransportEquipment OtherMachinery andEquipment etc. IntellectualPropertyProducts Net

• National Accounts
• Quarterly Estimates of GDP / Latest Data / The Second Preliminary
• Survey date  2025Jul.-Sep.
• Update date  2025-12-08
• CSV

Deflators (calendar year) Changes from the previous year

File:暦年デフレーター 前年比 2020暦年＝100 単位:％ Deflators Calendar Year Annual Percent Change of = % 家計最終消費支出 , inInventories Goods & ResidentialInvestment Other Buildingsand Structures TransportEquipment OtherMachinery andEquipment etc. IntellectualPropertyProducts Net

• International Transactions in Securities
• International Transactions in Securities
• Survey date  2025Nov.
• Update date  2025-12-08
• CSV

2 Ten days of a month

File:対外及び対内証券売買契約等の状況（旬別推移） 最終更新日 令和7年12月8日 International Transactions in Securities Monthly; based on reports , わないことがある。 ③ネットのプラス（＋）は取得超、マイナス（－）は処分超を表す。 Note Transactions related to funds will be recorded under the　new items "Equity shares" starting January 2014. Totals may not add due

• International Transactions in Securities
• International Transactions in Securities
• Survey date  2025Nov.
• Update date  2025-12-08
• CSV

1 Monthly

File:対外及び対内証券売買契約等の状況（月別推移） 最終更新日 令和7年12月8日 International Transactions in Securities Monthly; based on reports , わないことがある。 ③ネットのプラス（＋）は取得超、マイナス（－）は処分超を表す。 Note Transactions related to funds will be recorded under the　new items "Equity shares" starting January 2014. Totals may not add due

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• 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 , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: Construction mining Carrying cleaning packaging related Workers not classified , Accountancy clerks Merchandise sales Quasi-sales Care service Domestic hygiene Food , delivery Wholesale retail trade Retail general merchandise

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• 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 , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: delivery Wholesale retail trade Retail general merchandise , clerks Sales Merchandise sales Quasi-sales Service Care service , cleaning packaging related Cleaning carrying Workers years old Self-employed

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report DB

Employed persons II-10 Employed person by status in employment, type of employment, duration of employment contract and occupation

Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: Construction mining Carrying cleaning packaging related Workers not classified , Accountancy clerks Merchandise sales Quasi-sales Care service Domestic hygiene Food , or corporation excl. executive Regular Non-regular Part-time Arbeit temporary Dispatched

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• 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 , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: Accountancy clerks Merchandise sales Quasi-sales Care service Domestic hygiene Food , delivery Wholesale retail trade Retail general merchandise , Local Industries unable classify Note From January average

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• 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 , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File:machine operation Construction mining Carrying cleaning packaging related Workers not classified , Accountancy clerks Merchandise sales Quasi-sales Care service Domestic hygiene Food , delivery Wholesale retail trade Retail general merchandise

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• 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 , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File:machine operation Construction mining Carrying cleaning packaging related Workers not classified , Accountancy clerks Merchandise sales Quasi-sales Care service Domestic hygiene Food , delivery Wholesale retail trade Retail general merchandise

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report DB

Employed persons II-7 of company or corporation by type of household, relationship to the head of household, marital status,age, number of persons engaged in enterprise, industry, occupation, weekly hours of work, type of employment

Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: contract October Both sexes Ten thousand Type Total Regular employee Non-regular （continued , managerial workers Professional engineering Clerical Sales Service Security Agricultural fishery process machine operation mining Carrying

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report DB

Employed persons II-4 Employed person by type of household, relationship to the head of household, age, status in contract, number of persons engaged in enterprise, industry, occupation, weekly days of work, monthly days of

Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: Both sexes Ten thousand Labour force Total Weekly Monthly continued which , Part-time Arbeit temporary Dispatched from labour agency , Security Agricultural fishery process machine operation mining Carrying

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• 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 , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: October Ten thousand Industry All industries Agriculture forestry Non-agricultural continued Total Forestry Fisheries Mining quarrying of stone gravel , freight Water Air Warehousing incidental Postal including mail delivery

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• 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 , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: Ten thousand persons Industry All industries Agriculture forestry Non-agricultural continued Total Forestry Fisheries Mining quarrying , freight Water Air Warehousing incidental Postal including mail delivery

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• 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 , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: Non-agricultural Fisheries except aquaculture Aquaculture Mining quarrying , delivery Wholesale retail trade Retail general merchandise , take out Living-related personal amusement Laundry beauty bath living-related

• Consumer Price Index
• 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
• Survey date  2025Nov.
• Update date  2025-11-28
• CSV DB

Ku-area of Tokyo 1 Indices of Items (January 1970 - the Recent Month)

File: Fresh fish Tuna Horse mackerel Sardines Bonito Salmon Mackerel Saury Sea bream Yellowtail , Mufflers socks stockings Belts Services related Laundry charges-A charges-B repair Charges Medical , Chrysanthemums Roses recreational Memory cards Compact

• Consumer Price Index
• 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
• Survey date  2025Nov.
• Update date  2025-11-28
• CSV DB

Ku-area of Tokyo 2 ; Percentage change from the previous month (February 1970 - the Recent Month)

File: Fresh fish Tuna Horse mackerel Sardines Bonito Salmon Mackerel Saury Sea bream Yellowtail , Mufflers socks stockings Belts Services related Laundry charges-A charges-B repair Charges Medical , Chrysanthemums Roses recreational Memory cards Compact

• Consumer Price Index
• 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
• Survey date  2025Nov.
• Update date  2025-11-28
• CSV DB

Ku-area of Tokyo 3 Indices of Items; Percentage change over the year (January 1971 - the Recent Month)

File: Fresh fish Tuna Horse mackerel Sardines Bonito Salmon Mackerel Saury Sea bream Yellowtail , Mufflers socks stockings Belts Services related Laundry charges-A charges-B repair Charges Medical , Chrysanthemums Roses recreational Memory cards Compact

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report DB

Employed persons II-1 Employed persons by industry, status in employment, type of employment (employee

Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: specified more Ordinary Doing piecework at home Part-time Arbeit temporary , delivery Wholesale retail trade Retail general merchandise , take out Living-related personal amusement Laundry beauty bath living-related

• Consumer Price Index
• 2020-Base Consumer Price Index / Monthly Report
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report

5 Indices of Items and Contribution to change of All Items Index for Japan and Ku-area of Tokyo Monthly

File:seafood 生鮮魚介 Fresh fish まぐろ Tuna あじ Horse mackerel いわし Sardines かつお * Bonito さけ Salmon さば Mackerel さんま Saury , さけ salmon たらこ cod roe しらす干し “Shirasu-boshi” young sardines , lactic drinks ミネラルウォーター Mineral water 宅配水 Home delivery

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report

Households IV-2 Number of households by industry of the head and type of household

Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: head and type household October Ten thousand Type II Total Two-or-more-person One-person Industry a0100 Agriculture forestry Non-agricultural industries Fisheries Mining quarrying , are calculated which is "employed person".

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report

Households IV-3 Number of households by occupation of the head and type of household

Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: a0100 Administrative managerial workers Professional engineering Clerical Sales Service , machine operation Construction mining Carrying cleaning packaging related Workers not classified Note The figures are calculated which is "employed person".

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report DB

Unemployed persons III-3 for seeking a job, preference for employment as primary or secondary activity, relationship to the head

Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File: a job preference employment as primary or secondary activity relationship to the head of household type and age October Ten thousand persons Relationship Total Two-or-more-person continued , employer business voluntarily Newly started seek Graduated from school Necessary

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Statistical table (Detailed results for each period) (Whole Japan / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL
  Report

Population aged 15 years old and over I-8 Population aged 15 years old and over by labour force status

Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , every five years according to the release of the latest , 2005 through December 2021 have been adjusted to comparable time-series data (the intercensal-level adjustment File:Basic tabulation Table I-8 Population aged years old and over , age October Both sexes Total Ten thousand persons Status continued but Not dwelled , forestry Non-agricultural Fisheries Mining quarrying of stone

• Retail price survey
• Retail Price Survey (Trend Survey)
• Survey date  2025Nov.
• Update date  2025-11-28
• EXCEL
  Report

Statistical Tables 2 Retail Prices of Major Items for Ku-area of Tokyo [Nov. 2024 - Nov. 2025] [1001 Non-glutinous rice] - [2183 School lunch]

File:- pickled Tangle "Kimuchi" Nuts Edible oil Margarine Salt Soy sauce Soybean Sugar Vinegar Worcester , Sterilized Box lunch Cooked Rice balls Sushi Cooking "Takoyaki" "Kabayaki" Grilled Salad , Nonalcoholic Carbonated Sports Mineral "Sake" "Shochu"

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Historical data / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL

[Monthly figures - Results of whole Japan] Seasonally adjusted series and Original series 1-a-7 Unemployed person [by reason for seeking a job] since Jan. 2002

File: contract Circumstances employer business voluntarily Newly started to seek Graduated from school Necessary , is revised every five years because Population Estimates according , figures" used. Supplementary estimated Referential displayed with < >. ＜季節調整法

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data / Historical data / Basic Tabulation
• Survey date  2025Oct.
• Update date  2025-11-28
• EXCEL

Results of whole Japan] Employed person by major industry (Original series) 1-c-3 person by industries (12th and 13th revision industrial classification) since Jan. 2002

File:月 Year month Total Agriculture forestry Non-agricultural , www.stat.go.jp/data/roudou/220201/index.html Since benchmark population calculating revised every five years , figures" used. Supplementary estimated Referential displayed >.