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  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
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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:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File: Fatalities Injuries（Provisional） Prefectures number Change Percentage , Provisional） Fatalities Injuries（Provisional） Compared with Rank Change Percentage change Hokkaido Sapporo Hakodate Asahikawa Kushiro Kitami
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
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4 Traffic accident occurrence by prefecture 4-1 Road traffic accidents, fatalities and injuries by prefecture (monthly)
Description of Statistics:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File: accidents（Provisional） Fatalities Injuries（Provisional） Prefectures number Change Percentage , Traffic accidents（Provisional） Fatalities Injuries（Provisional） Compared with Rank Change Percentage change Hokkaido Sapporo Hakodate Asahikawa Kushiro Kitami
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • EXCEL
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Traffic accidents situation(year to November,2025)
Description of Statistics:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File:Trailers. ３　As a semi-mid-sized newly established range tonnage vehicles that mid-sized standard , Hokkaido Sapporo Hakodate Asahikawa Kushiro Kitami Tohoku Aomori Iwate Miyagi Akita Yamagata , Oita Miyazaki Kagoshima Okinawa 4-2 4-2　Road 4-3 4-3　Fatalities Elderly
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
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4 Traffic accident occurrence by prefecture 4-3 Fatalities of elderly persons (aged 65+) by prefecture
Description of Statistics:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File:4-3　Fatalities of elderly persons aged 65+ by prefecture year to , Oita Miyazaki Kagoshima Okinawa *** 　 , 4-3 4-3　Fatalities of elderly persons aged 65+ by prefecture year to
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
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Statistical Tables 1 Retail Prices of Major Items by Cities [Oct. 2025] [3001 House rent, private] - [4515 Sewage disposal charges]
File:rice-cookers 電子レンジ Microwave ovens ガステーブル cooking tables 冷蔵庫 Refrigerators 掃除機 , 物干し用ハンガー Clothes drying hanger 収納ケース Storage cases ラップ Food wrap ポリ , 浄化槽清掃代 Sewage disposal 注）家賃 民営 ：2010年1月に実施した調査市町村交替等に伴い、新潟市、静岡市
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
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3 Traffic death accidents 3-8 Trends in fatal accidents by location and type of road
Description of Statistics:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File:year Code ot Time Axis A.D Location number Percentage change Compared with last Component ratio Index , November each year Year Compared with Location ・ Change Percentage change Component ratio Index Urban area , difficult to measure accurately including national expressway service plazas.
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
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3 Traffic death accidents 3-7 Trends in fatal accidents by type of accident
Description of Statistics:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File: House/wall Bridge/Bridge support parked departure Fall Turnover , end November each year Year Compared with Type Change Percentage change Component ratio Index Person and , House/wall Bridge/Bridge support parked departure Fall Turnover
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
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3 Traffic death accidents 3-4 Trends in fatal accidents caused by licensed vehicle driver (primary party) by type of violation
Description of Statistics:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File:each year Code ot Time Axis A.D Type number Percentage change Compared with last Component ratio Index , Failure to stop at railway right turn left Roundabouts *** Impeding priority , end November each year Year Compared with Type Change Percentage change Component ratio Index Disregarding
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
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3 Traffic death accidents 3-1 Trends in fatal accidents by vehicle type of primary party
Description of Statistics:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File:each year Code ot Time Axis A.D Primary number Change Compared with last Percentage change Component ratio , November each year Year Compared with Primary Change Percentage change Component ratio Index Car etc. , ３　As a semi-mid-sized motor license was newly established range tonnage vehicles that mid-sized
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • EXCEL
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Table of contents
Description of Statistics:reported from the prefectural police, which is targeted at accidents involving fatalities or injuries , Article 2, Paragraph 1, Item 1 of the Road Traffic Act. This Statistics , the fatalities within 24 hours, injuries, and fatalities within File:Traffic Table1-2 accidents by month ２　Traffic fatalities Table2-1 Trends in Table2-2 age group Table2-3　 per , Table2-4 road user type Table2-5 and Table2-6　 elderly aged 65+ Table2-7　 motor vehicle occupant Table2-8　 , month） Table4-3 Fatalities ※1 Data using this report was collected December
  • 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: Repeated listing Prefectures Cities wards towns and local Others Administrative , ｐｅｒｉｏｄ Institution ｇｏｖｅｒｍｅｎｔ etc then a country vilages goverment fy 2024. 4-2024.10 2025. 4-2025.10 cy , 2022. 2023. 2026. note1 Because classification changes each item during from made it inconvenience to release
  • 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: “Agekamaboko” fried fish-paste patties “Chikuwa” baked , Kimpira” Roast pork “Salad chicken” “Oden” stew Beverages Tea tea Black beverages Coffee cocoa coffee beverages-A , propane fuel Kerosene Water sewerage Sewerage Furniture household utensils
  • 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 Indices of Items; Percentage change from the previous month
File: “Agekamaboko” fried fish-paste patties “Chikuwa” baked , Kimpira” Roast pork “Salad chicken” “Oden” stew Beverages Tea tea Black beverages Coffee cocoa coffee beverages-A , propane fuel Kerosene Water sewerage Sewerage Furniture household utensils
  • 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
File: “Agekamaboko” fried fish-paste patties “Chikuwa” baked , Kimpira” Roast pork “Salad chicken” “Oden” stew Beverages Tea tea Black beverages Coffee cocoa coffee beverages-A , propane fuel Kerosene Water sewerage Sewerage Furniture household utensils
  • 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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File:October Both sexes Total Hours Occupation Administrative managerial , postal activities Railway transport Road passenger freight Water Air , apparel accessories beverage Finance insurance Real estate rental
  • 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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File: managerial workers Professional engineering Clerical Sales , postal activities Railway transport Road passenger freight Water Air , apparel accessories beverage Finance insurance Real estate rental
  • 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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File:Basic tabulation Table II-2-1 Employed persons by age and industry October Ten thousand Industry All industries , based Video picture sound character distribution Railway transport Road passenger freight Water Air Warehousing incidental Postal including mail delivery Retail general merchandise dry apparel accessories beverage
  • 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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File: All industries Agriculture forestry Non-agricultural continued Total , based Video picture sound character distribution Railway transport Road passenger freight Water Air Warehousing incidental Postal including mail delivery Retail general merchandise dry apparel accessories beverage
  • 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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File: Transport postal activities Railway transport Road passenger freight Water Air , apparel accessories beverage Finance insurance Real estate rental , Local Industries unable classify Administrative managerial workers
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-28
  • EXCEL
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5 Indices of Items and Contribution to change of All Items Monthly
File: いくら 魚肉練製品 Fish-paste products 揚げかまぼこ “Agekamaboko” fried fish-paste patties ちくわ “Chikuwa” , 生鮮野菜 vegetables キャベツ Cabbage ほうれんそう Spinach はくさい cabbage ねぎ , プロパンガス Liquefied propane 他の光熱 fuel 灯油 Kerosene 上下水道料 Water sewerage 水道料 下水道料 Sewerage 家具・家事用品 Furniture household
  • 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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File:October Both sexes Total Days Occupation Administrative managerial workers , postal activities Railway transport Road passenger freight Water Air , apparel accessories beverage Finance insurance Real estate rental
  • 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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File: October Both sexes Total Hours Occupation Administrative managerial , postal activities Railway transport Road passenger freight Water Air , apparel accessories beverage Finance insurance Real estate rental
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Nov.
  • Update date  2025-11-28
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Statistical Tables 3 Nationwide Uniform Prices or Charges [Nov. 2025]
File:11月 Specifi- NO. Nov. Oct. コーヒー飲料 セルフ式 Coffee beverages self-service 1杯 乳酸菌飲料 配達 Fermented lactic drinks , charges fixed-line phone time-charges 3分 固定電話，配線使用料 wire , 沖縄県を除く全国 NHK・衛星契約，沖縄県 CS及びBS放送，基本料金 CS and BS charge CS及びBS放送，パック料金 package 映画観覧料 Admission to movies
  • 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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File: Construction Manufacturing Manufacture food beverages tobacco feed textile mill products lumber wood , Transport postal activities Railway transport Road passenger freight Water Air , apparel accessories beverage Finance insurance Real estate rental
  • 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 type of employment (employee by number of persons engaged in enterprise) and duration of employment contract
Description of Dataset category 1: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File:Part-time Arbeit temporary Dispatched from labour agency Contract Entrusted Other Less month up months , Transport postal activities Railway transport Road passenger freight Water Air , apparel accessories beverage Finance insurance Real estate rental
  • 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 - [5011 Women's 'Kimono'] - [7413 Telephone charges]
File: Health Dermal Plasters Eyewashes Chinese Protein Bath Sanitary Masks Spectacles , Disposable Sphygmomano- Hearing aids Supporter lenses Supplies Massage Fees 6か月 Bus fares Expressway Taxi , Garage Parking Car wash "Kimono" "Obi" summer winter jackets
  • 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 - [1001 Non-glutinous rice] - [2183 School lunch]
File:ｾﾙﾌｻｰﾋﾞｽ店） 1か年 Year and month 1袋･5kg 以外 "Shirasu- "Agekama- "Chikuwa" "Kamaboko" "Shiitake" 45g×3 "Konnyaku , steamed Pickled * Canned Beef Pork Chicken Ham Sausages Bacon Seasoned Fresh milk Powdered Butter Cheese , flavor Wasabi tube sweet bean-jam sponge rice gum chips packaging
  • 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 Subgroup Index (January 1970 - the Recent Month)
File: beverages Food Fresh Food Cereals Fish seafood fish reentry , seasonings Cakes candies Cooked Beverages Alcoholic Meals outside , Housing Rent Rent Repairs maintenance Fuel light water charges Electricity Gas Other fuel Water sewerage
  • 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 Subgroup Index; Percentage change from the previous month (February 1970 -
File: beverages Food Fresh Food Cereals Fish seafood fish reentry , seasonings Cakes candies Cooked Beverages Alcoholic Meals outside , Housing Rent Rent Repairs maintenance Fuel light water charges Electricity Gas Other fuel Water sewerage
  • 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 Subgroup Index; Percentage change over the year (January 1971 - the Recent
File: beverages Food Fresh Food Cereals Fish seafood fish reentry , seasonings Cakes candies Cooked Beverages Alcoholic Meals outside , Housing Rent Rent Repairs maintenance Fuel light water charges Electricity Gas Other fuel Water sewerage
  • Trade Statistics
  • Trade Statistics The trade general condition / Principal of Commodity by Area(Country) / Import
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • CSV
9-digit Provisional 25-01 Principal of Commodity by Area(Country) (Import Jan-Sep:Detailed,Oct:9-digit Provisional)
File:AND PREPARATION MEAT CEREALS CEREAL PREPARATION VEGETABLES FRUITS RAW MATERIALS WOOD ORE OF NONFERROUS , MEDICAL MANUFACTURED GOODS STEEL METALS MANUFACTURES TEXTILE YARN FABRICS NON-METALLIC WARE & CORK MACHINERY , ACCESSORIES FURNITURE BAGS2 R KOREA CHINA TAIWAN HG KONG
  • Trade Statistics
  • Trade Statistics The trade general condition / Value of Exports and Imports by Area(Country)
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • CSV
D & P 25-07 Value of Exports and Imports by Area(Country) (Jan-Oct:D & P) Africa
File:D' GHANA TOGO BENIN MALI BURKINA C VERDE CANARY NIGERIA NIGER RWANDA CAMROUN CHAD AFRCA EQ GNEA GABON , DJIBOUT SOMALIA KENYA UGANDA TANZNIA SEYCHEL MOZAMBQ MADAGAS MAURTUS REUNION ZMBABWE NAMIBIA S LESOTHO MALAWI ZAMBIA BOTSWAN ESWATIN IND OCE COMOROS ERITREA Exports Imports
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-28
  • EXCEL
    Report         DB
2-2 Goods and Service Group Index for Ku-area of Tokyo Monthly
File: gas water charges Publi-cations imputed rent Public services , Meals outside the home House public Urban Renaissance Agency corporation related to domestic duties medical care welfare forwarding communication education culture recreation General
  • 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 - [8001 P.T.A. membership fees] - [9951 After-school childcare fees]
File: room surgeon esthetique haircut wave dyeing shavers brushes , Control Law is not applied to Foundation Junior college law literature economic preparatory Bags imported , [home after funeral] paper wood [meal] meal wake people each ; [beverage] beer oolong tea including
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-28
  • EXCEL
    Report         DB
1-2 Subgroup Index for Ku-area of Tokyo Monthly
File:生鮮魚介 生鮮野菜 生鮮果物 Year and month 和服 洋服 セーター類 All items less fresh food imputed rent & energy alcoholic beverages , seasonings Cakes candies Cooked Beverages Alcoholic Meals outside , home Housing Rent Repairs maintenance Fuel light water charges Electric-ity Gas Other fuel Water sewerage
  • Trade Statistics
  • Trade Statistics The trade general condition / Value of Exports and Imports by Customs
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • CSV
D & P 25-01 Value of Exports and Imports by Customs(TOKYO-OSAKA) (Jan-Oct:D & P)
File: ONAHAMA SOOMA FUKUSHI SENDAISHIOGAMA ISHINOMAKI KESENNUMA SENDAI UTSUNOMIYA KOBE AMAGASAKI HIMEJI HIGASHIHARIMA , NANAO KANAZAWA KOMATSU TSURUGA FUKUI SHIMOTSU WAKAYAMA SHINGU Exports Imports Imports2022 Ratio to PY ZENGEN FY ZENZO Jul.-Sep. Oct.-Dec. Jan.-Mar. Apr.-Jun.
  • 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 relationship to the head of household, marital status, age, number of persons engaged in enterprise, industry
Description of Dataset category 1: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File:household relationship to the head marital status age number persons engaged in enterprise industry occupation , Arbeit temporary continued Dispatched from labour agency Contract Entrusted Other Less than month more , classify Occupation Administrative managerial workers Professional engineering Clerical Sales
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • CSV
D & P 25-01 Trade Indexes (Jan-Oct:D & P)
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. File: Agricultural Machinery Office machines Computer Units , Cereals Wheat Maize Maize for feeding purpose Fruits Vegetables Fruits Sugar Coffee Cocoa Coffee Beverages , telegraphy Domestic Equip Semiconductors Integrated Circuits Watch
  • 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
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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: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File:Basic tabulation Table I-8 Population aged years old and over by labour force status in the previous this month industries age October Both sexes Total Ten thousand persons , industry Labour unknown Employed person Unemployed Agriculture forestry Non-agricultural Fisheries Mining
  • 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 household, relationship to the head of household, age, status in employment, type of employment, duration of employment contract, number of persons engaged in enterprise, industry, occupation, weekly days
Description of Dataset category 1: 2021 (excluding quarterly and fiscal yearly averages) in the Basic Tabulation have been adjusted.
Also, databeses other than those periods are different from time series tables. File: engaged enterprise industry occupation weekly days work , Dispatched from labour agency Contract Entrusted Other Indefinite Limited Less , classify Occupation Administrative managerial workers Professional engineering Clerical Sales
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
Statistical Tables 1 Retail Prices of Major Items by Cities [Oct. 2025] [5011 Women's 'Kimono'] - [7445 Mobile phones]
File:Mito Hitachi Utsunomiya Oyama Maebashi Saitama Kumagaya Kawaguchi Tokorozawa Chiba Kashiwa Urayasu Ku-area , コンタクトレンズ用剤 000mL solution 軽度失禁用品 Supplies slight incontinence マッサージ料金 Massage fees 人間ドック受診料 , repairs 自動車オイル交換料 Motor oil replacement 車庫借料 1か月 Garage rental 駐車料金 1時間 Parking 洗車代 Car wash 自動車免許手数料 1件
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
Statistical Tables 1 Retail Prices of Major Items by Cities [Oct. 2025] [1001 Non-glutinous rice] - [2183 School lunch]
File: いくら 塩さば 揚げかまぼこ "Agekamaboko" fried fish-paste patties ちくわ "Chikuwa" , キャベツ Cabbage ほうれんそう Spinach はくさい cabbage ねぎ Welsh onions レタス , Vegetables りんご Apples みかん Mandarin oranges オレンジ Oranges
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Sep.
  • Update date  2025-10-24
  • EXCEL
    Report
Statistical Tables 1 Retail Prices of Major Items by Cities [Sep. 2025] [3001 House rent, private] - [4515 Sewage disposal charges]
File:rice-cookers 電子レンジ Microwave ovens ガステーブル cooking tables 冷蔵庫 Refrigerators 掃除機 , 物干し用ハンガー Clothes drying hanger 収納ケース Storage cases ラップ Food wrap ポリ , 浄化槽清掃代 Sewage disposal 注）家賃 民営 ：2010年1月に実施した調査市町村交替等に伴い、新潟市、静岡市
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
Statistical Tables 1 Retail Prices of Major Items by Cities [Oct. 2025] [8001 P.T.A. membership fees] - [9951 After-school childcare fees]
File:Mito Hitachi Utsunomiya Oyama Maebashi Saitama Kumagaya Kawaguchi Tokorozawa Chiba Kashiwa Urayasu Ku-area Hachioji Tachikawa Fuchu Yokohama Kawasaki Sagamihara Fujisawa Niigata , [home after funeral] paper wood [meal] meal wake people each ; [beverage] beer oolong tea including
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