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  • Trade Statistics
  • Trade Statistics The trade general condition / Yearly Data for Trade Indexes
  • Survey date  2025Sep.
  • Update date  2025-10-30
  • CSV
D & P 25-01 Yearly Data for Trade Indexes (Jan-Sep:D & P)
File:8.32024Jan.-Jun. 5.32024Jul.-Dec. 8.82025Jan.-Jun. CHINA 2.62024Jan.-Jun. 5.92024Jul.-Dec. 0.32025Jan.-Jun 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
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2025Sep.
  • Update date  2025-10-30
  • CSV
D & P 25-01 Trade Indexes (Jan-Sep:D & P)
File:formula Passhe Fisher 0Summary USA EU ASIA NIES ASEAN CHINA U KING 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
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2025Oct.
  • Update date  2025-10-31
  • CSV DB
Ku-area of Tokyo 1 Indices of Items (January 1970 - the Recent Month)
File:Chinese Other cereals Wheat flour “Mochi” rice-cakes , ” “Shochu” distilled spirits Beer Low-malt Whisky Wine “Chu-hi , personal Umbrellas Handkerchiefs Tobacco domestics miscellaneous
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2025Oct.
  • Update date  2025-10-31
  • CSV DB
Ku-area of Tokyo 2 Indices of Items; Percentage change from the previous
File:Chinese Other cereals Wheat flour “Mochi” rice-cakes , ” “Shochu” distilled spirits Beer Low-malt Whisky Wine “Chu-hi , personal Umbrellas Handkerchiefs Tobacco domestics miscellaneous
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2025Oct.
  • Update date  2025-10-31
  • CSV DB
Ku-area of Tokyo 3 Indices of Items; Percentage change over the year (January
File:Chinese Other cereals Wheat flour “Mochi” rice-cakes , ” “Shochu” distilled spirits Beer Low-malt Whisky Wine “Chu-hi , personal Umbrellas Handkerchiefs Tobacco domestics miscellaneous
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Oct.
  • Update date  2025-10-31
  • EXCEL
    Report
Statistical Tables 3 Nationwide Uniform Prices or Charges [Oct. 2025]
File:天理～堺 Tenri-Sakai 松原～宝塚 Matsubara-Takarazuka 長原～泉南 Nagahara-Sennan 高井戸～三郷 Takaido-Misato 四日市東～高針 Yokkaichihigashi-Takabari 一宮～東海 Ichinomiya-Tokai 長田～妙法寺 Nagata-Myouhouji 東雲～河内 Shinonome-Kochi , 統合版 without an edition 月刊誌 Monthly magazines 週刊誌 Weekly 単行本 岩波新書 Books "Iwanami" 新潮文庫 "Shincho
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • EXCEL
    Report
5 Indices of Items and Contribution to change of All Items Index for Japan and Ku-area of Tokyo Monthly
File: 中華麺 Chinese 他の穀類 Other cereals 小麦粉 Wheat flour もち “Mochi , 電気洗濯機（全自動洗濯機） Washing machines 電気洗濯機（洗濯乾燥機） drying 冷暖房用器具 Heating cooling , 腕時計 Wrist watches 他の身の回り用品 personal 傘 Umbrellas ハンカチーフ Handkerchiefs
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Historical data / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • EXCEL
Quarterly average figures - Results by region] Seasonally adjusted series and Original series 8-3 Unemployment rate since 1983
File: Hokkaido Tohoku Southern-Kanto Northern-Kanto Koshin Hokuriku Tokai Kinki Chugoku Shikoku Kyushu Okinawa , Aichi Mie Shiga Kyoto Osaka Hyogo Nara Wakayama Tottori , Ehime Kochi Fukuoka Saga Nagasaki Kumamoto Oita Miyazaki
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Historical data / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • EXCEL
Quarterly average figures - Results by region] Seasonally adjusted series and Original series 8-1 Employed person since 1983
File: Hokkaido Tohoku Southern-Kanto Northern-Kanto Koshin Hokuriku Tokai Kinki Chugoku Shikoku Kyushu Okinawa , Aichi Mie Shiga Kyoto Osaka Hyogo Nara Wakayama Tottori , Ehime Kochi Fukuoka Saga Nagasaki Kumamoto Oita Miyazaki
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Historical data / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • EXCEL
Quarterly average figures - Results by region] Seasonally adjusted series and Original series 8-2 Unemployed person since 1983
File: Hokkaido Tohoku Southern-Kanto Northern-Kanto Koshin Hokuriku Tokai Kinki Chugoku Shikoku Kyushu Okinawa , Aichi Mie Shiga Kyoto Osaka Hyogo Nara Wakayama Tottori , Ehime Kochi Fukuoka Saga Nagasaki Kumamoto Oita Miyazaki
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: Security Agricultural forestry fishery Manufacturing process Transport machine operation Construction , metal products except Machine assembly maintenance repair inspection Manufacturing-related , fabricated general-purpose machinery production business oriented Electronic parts
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: Security Agricultural forestry fishery Manufacturing process Transport machine operation Construction , metal products except Machine assembly maintenance repair inspection Manufacturing-related , fabricated general-purpose machinery production business oriented Electronic parts
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: Security Agricultural forestry fishery Manufacturing process Transport machine operation Construction , metal products except Machine assembly maintenance repair inspection Manufacturing-related , fabricated general-purpose machinery production business oriented Electronic parts
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: Security Agricultural forestry fishery Manufacturing process Transport machine operation Construction , metal products except Machine assembly maintenance repair inspection Manufacturing-related , fabricated general-purpose machinery production business oriented Electronic parts
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Oct.
  • Update date  2025-10-31
  • EXCEL
    Report
Statistical Tables 2 Retail Prices of Major Items for Ku-area of Tokyo [Oct. 2024 - Oct. 2025] [1101 Tuna fish] - [9183 Cut flowers]
File: Octopus Prawns Short- Oysters Scallops Cabbage Spinach Chinese Welsh Lettuce Bean Broccoli Asparagus , Grapes Persimmons Peaches Water- Melons Straw- Cherries Bananas Kiwi Avocados , potatoes roots chinese yams soybeans beans peppers mushrooms oranges
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: Security Agricultural forestry fishery Manufacturing process Transport machine operation Construction , metal products except Machine assembly maintenance repair inspection Manufacturing-related , fabricated general-purpose machinery production business oriented Electronic parts
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: Security Agricultural forestry fishery Manufacturing process Transport machine operation Construction , metal products except Machine assembly maintenance repair inspection Manufacturing-related , fabricated general-purpose machinery production business oriented Electronic parts
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: Security Agricultural forestry fishery Manufacturing process Transport machine operation Construction , metal products except Machine assembly maintenance repair inspection Manufacturing-related , fabricated general-purpose machinery production business oriented Electronic parts
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: Security Agricultural forestry fishery Manufacturing process Transport machine operation Construction , metal products except Machine assembly maintenance repair inspection Manufacturing-related , fabricated general-purpose machinery production business oriented Electronic parts
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • EXCEL
    Report         DB
Employed persons II-4 Employed person by type of household, relationship to the head of household, age, status in employmentof employment contract, number of persons engaged in enterprise, industry, occupation, weekly days of
Description of Dataset category 1:Since 1982, the benchmark population for calculating , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File:Ten thousand Labour force Total Weekly Monthly continued which employed at day a week Unknown Average month , research professional technical services Accommodations eating , Service Security Agricultural fishery process machine operation mining Carrying cleaning packaging related
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • EXCEL
    Report         DB
Employed persons II-4 Employed person by type of household, relationship to the head of household, age, status in employmentof employment contract, number of persons engaged in enterprise, industry, occupation, weekly days of
Description of Dataset category 1:Since 1982, the benchmark population for calculating , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File:Ten thousand Labour force Total Weekly Monthly continued which employed at day a week Unknown Average month , research professional technical services Accommodations eating , Service Security Agricultural fishery process machine operation mining Carrying cleaning packaging related
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • EXCEL
    Report         DB
Employed persons II-7 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
Description of Dataset category 1:Since 1982, the benchmark population for calculating , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File:which spouse child other family members One-person Never , research professional technical services Accommodations eating , Service Security Agricultural fishery process machine operation mining Carrying cleaning packaging related
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • EXCEL
    Report         DB
Employed persons II-7 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
Description of Dataset category 1:Since 1982, the benchmark population for calculating , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File:which spouse child other family members One-person Never , research professional technical services Accommodations eating , Service Security Agricultural fishery process machine operation mining Carrying cleaning packaging related
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: research professional technical development institutes Professional , Cooperative associations Waste disposal Automobile maintenance Machine etc. repair Employment worker dispatching , machine operation mining Carrying cleaning packaging related
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: research professional technical development institutes Professional , Cooperative associations Waste disposal Automobile maintenance Machine etc. repair Employment worker dispatching , machine operation mining Carrying cleaning packaging related
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • 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 employment contract
Description of Dataset category 1:Since 1982, the benchmark population for calculating , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: fabricated metal general-purpose machinery production business oriented Electronic parts , research professional technical development institutes Professional , Cooperative associations Waste disposal Automobile maintenance Machine etc. repair Employment dispatching
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-10-31
  • 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 employment contract
Description of Dataset category 1:Since 1982, the benchmark population for calculating , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: fabricated metal general-purpose machinery production business oriented Electronic parts , research professional technical development institutes Professional , Cooperative associations Waste disposal Automobile maintenance Machine etc. repair Employment dispatching
  • Trade Statistics
  • Trade Statistics The trade general condition / Value of Exports and Imports by Customs
  • Survey date  2025Sep.
  • Update date  2025-10-30
  • CSV
D & P 25-01 Value of Exports and Imports by Customs(TOKYO-OSAKA) (Jan-Sep:D & P)
File: YOKOSUKA CHIBA KISARAZU KASHIMA HITACHI TSUKUBA IBRAKI A.P. ONAHAMA , KOBE AMAGASAKI HIMEJI HIGASHIHARIMA UNO OKAYAMA MIZUSHIMA ONOMICHIITOZAKI FUKUYAMA INNOSHIMA KURE HIROSHIMA SAKAIMINATO HAMADA SAKAIDE
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025Sep.
  • Update date  2025-10-31
  • 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 , Census conducted every five years.
Responding to the revision, in order to remove the gaps, data , databases from January 2018 through December 2021 (excluding quarterly and fiscal yearly averages) in the Basic File: research professional technical services Accommodations eating , fabricated metal general-purpose machinery production business oriented Electronic parts , Cooperative associations Waste disposal Automobile maintenance Machine etc. repair Employment worker dispatching
disp_toukeih
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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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