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  • Annual Population and Social Security Surveys (The National Survey on Social Security and People's Life)
  • The National Survey on Social Security and People's Life in / Cross Tabulation
  • Survey date  FY2022Jul.
  • Update date  2025-07-31
  • EXCEL
9. Cross tabulation on medical care, pension and caregiving 128 Number of individuals by Equivalised disposable income category and Preparing for and sharing thoughts about one's own death
File:ct_128_1en Table Number of individuals by Equivalised disposable income category and Preparing for sharing , A Prepared/thought this No Yes Not applicable response Total , funeral ct_128_6en ct_128_7en ④Selection assistant/guardian ct_128_8en ct_128_9en ⑤Desired
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
5 Road traffic accidents on expressways 5-2-5 Trends in fatal accidents on expressways by vehicle type of primary party
File:Component ratio Index"Motor etc. Motor Private Passenger car Bus *** ***"Motor Minibus Standard Motor Light Total , change Component ratio Motor etc. Private Passenger car Bus Minibus Standard Light Total Truck Large Mid Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents.
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Fatal accidents 3-8 Trends in fatal accidents by vehicle type of primary party
File:Component ratio Index Motor etc. Motor Private Passenger car Bus Minibus *** Standard Light Total Truck Large , change Component ratio Motor etc. Private Passenger car Bus Minibus Standard Light Total Truck Large Mid Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents.
  • Annual Population and Social Security Surveys (The National Survey on Social Security and People's Life)
  • The National Survey on Social Security and People's Life in / Cross Tabulation
  • Survey date  FY2022Jul.
  • Update date  2025-07-31
  • EXCEL
9. Cross tabulation on medical care, pension and caregiving 123 individuals by Debt group and Preferred place of long-term care
File:of individuals by Debt group and Preferred place long-term care 【Frequency】 Facility covered insurance Private retirement home or elderly housing Hospital other medical institution At including staying at children's Other Not applicable No response Total yen Less than 000～1 000～2 000
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jun.
  • Update date  2025-07-29
  • EXCEL
    Report
Traffic accidents situation(year to July,2025)
File:2-16　Trends night・age *１ ２ 3-1 3-1　Trends Primary Car etc. Private Passenger car Bus Minibus Standard Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents.
  • Annual Population and Social Security Surveys (The National Survey on Social Security and People's Life)
  • The National Survey on Social Security and People's Life in / Cross Tabulation
  • Survey date  FY2022Jul.
  • Update date  2025-07-31
  • EXCEL
9. Cross tabulation on medical care, pension and caregiving 122 individuals by Savings group and Preferred place of long-term care
File:individuals by Savings group and Preferred place long-term care 【Frequency】 Facility covered insurance Private retirement home or elderly housing Hospital other medical institution At including staying at children's Other Not applicable No response Total yen Less than 000～1 000～2 000
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2025Jun.
  • Update date  2025-07-30
  • CSV
D & P 25-01 Trade Indexes (Jan-Jun:D & P)
File:instruments Condenser Transport Motor Vehicles Passenger Car Used Buses Tracks Cargo Cars Cycles Ships Tankers 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.
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Jun.
  • Update date  2025-07-18
  • EXCEL
    Report
5 Indices of Items and Contribution to change of All Items Index for Japan and Ku-area of Tokyo Fiscal Yearly Average
File:rental 駐車料金 parking 自動車免許手数料 driving license レンタカー料金 car 洗車代 Car wash ロードサービス料 Road 自動車保険料（自賠責） compulsion , games use ゲームソフト Game softwares 人形 Dolls 玩具自動車 Toy cars 組立玩具 Building blocks 切り花 flowers 切り花（カーネーション） Carnations
  • Annual Population and Social Security Surveys (The National Survey on Social Security and People's Life)
  • The National Survey on Social Security and People's Life in / Cross Tabulation
  • Survey date  FY2022Jul.
  • Update date  2025-07-31
  • EXCEL
15. Cross tabulation on educational background and living away from parents 208 Number of individuals by Last completed education level and Bearer of cost of living when initially living away from parents
File: Table Number of individuals by Last completed education level and Bearer cost living when initially away , Mother Grandparent Sibling Spouse Child Other relative Public assistance Unknown Not applicable No response Total Elementary or junior high school
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Fatal accidents 3-5-4 Fatal accidents caused by licensed vehicle driver (primary party) by type of accident and type of violation
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File: steering and/or breaking Careless Not keeping eyes on road confirm movement make , working standing lying Multiple vehicles Head-on collision Rear-end moving Crossing passing , party" is whose negligence grossest among parties concerned
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Fatal accidents 3-5-3 Fatal accidents caused by licensed vehicle driver (primary party) by
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File: 0.0Person behind 1.0Person While crossing road On pedestrian , collision Rear-end moving Crossing while passing or overtaking , party" is whose negligence grossest among parties concerned
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Fatal accidents 3-5-2 Fatal accidents caused by licensed vehicle driver (primary party) per 100,000 driver's license holders by type of accident and age group
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File:collision Rear-end moving Crossing while passing or overtaking , party" is whose negligence grossest among parties concerned , accident. ３　"Train" means involving trains at railroad crossings. ４　Per capita data are calculated basis population
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Fatal accidents 3-2-1 Trends in fatal accidents caused by licensed vehicle driver (primary party) by type of violation
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File: Component ratio Disregarding traffic signal Road or lane , maintenance Drunk Driving while fatigued Violation safe practices steering and/or braking Careless , general motorized bicycle. ３　"Primary party" is whose negligence grossest among parties
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Fatal accidents 3-3 Trends in fatal accidents caused by licensed vehicle driver (primary party) by
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File: with last year Percentage Component ratio IndexDrunk Drunkenness , ３　"Primary party" is whose negligence grossest among parties , “drunk driving” which classification based on law violation. The category aggregated
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Jul.
  • Update date  2025-07-25
  • EXCEL
    Report
Statistical Tables 3 Nationwide Uniform Prices or Charges [Jul. 2025]
File: 普通乗用車 普通乗用車，輸入品 imported レンタカー料金 本州・四国・九州 Rental car Honshu Shikoku Kyushu 北海道 Hokkaido 沖縄県 Okinawa-ken カーリース Car lease 1か月 ロードサービス料 バッテリートラブル Breakdown service Battery
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • EXCEL
    Report
First half report of traffic accidents statistics
File:cyclists. 第１当事者別死亡事故件数の推移 Vehicle Private Passenger car Bus Minibus Standard Light Truck Large Mid Semi-mid Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents.
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Fatal accidents 3-2-3 Fatal accidents caused by licensed vehicle driver (primary party) by type of violation and age group
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File: 12.3Violation Careless 16.4Violation Not keeping eyes on , maintenance Drunk Driving while fatigued Violation safe practices steering and/or braking Careless , party" is whose negligence grossest among parties concerned
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jun.
  • Update date  2025-07-29
  • 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: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File: signal Road or lane infringement Speeding Improper crossing , Violation safe practices steering and/or braking Careless , Violation safe practices steering and/or braking Careless
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Fatal accidents 3-2-2 Fatal accidents caused by licensed vehicle driver (primary party) per 100,000 driver's license holders by type of violation and age group
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File: maintenance Drunk Driving while fatigued Violation safe practices steering and/or braking Careless , speed Others Sub-total Unknown No *１　Per capita data are calculated basis population with licenses , party" is whose negligence grossest among parties concerned
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2025Jul.
  • Update date  2025-07-25
  • CSV DB
Ku-area of Tokyo 1 Indices of Items (January 1970 - the Recent Month)
File:replacement garage rental parking driving license car Car wash Road compulsion option Communication Postcards , Toys Computer games use Game softwares Dolls Toy cars Building blocks flowers Carnations Chrysanthemums
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2025Jul.
  • Update date  2025-07-25
  • CSV DB
Ku-area of Tokyo 2 Indices of Items; Percentage change from the previous month (February 1970 - the Recent Month)
File:replacement garage rental parking driving license car Car wash Road compulsion option Communication Postcards , Toys Computer games use Game softwares Dolls Toy cars Building blocks flowers Carnations Chrysanthemums
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File:related Workers not classified Engineers Health care Teachers Other professional , Internet based Video picture sound character distribution postal , Warehousing Services incidental to Postal including mail
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: Engineers Health care Teachers Other professional General clerical Accountancy , Internet based Video picture sound character distribution postal , Warehousing Services incidental to Postal including mail
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File:related Workers not classified Engineers Health care Teachers Other professional , Internet based Video picture sound character distribution postal , Warehousing Services incidental to Postal including mail
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File:related Workers not classified Engineers Health care Teachers Other professional , Internet based Video picture sound character distribution postal , Warehousing Services incidental to Postal including mail
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File:related Workers not classified Engineers Health care Teachers Other professional , Internet based Video picture sound character distribution postal , Warehousing Services incidental to Postal including mail
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File:related Workers not classified Engineers Health care Teachers Other professional , Internet based Video picture sound character distribution postal , Warehousing Services incidental to Postal including mail
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: managerial workers Professional engineering Clerical Sales Service Security , related Workers not classified Engineers Health care Teachers Other professional , Warehousing Services incidental to Postal including mail
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: managerial workers Professional engineering Clerical Sales Service Security , related Workers not classified Engineers Health care Teachers Other professional , Warehousing Services incidental to Postal including mail
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: postal activities Railway transport Road passenger freight Water Air Warehousing Services incidental to Postal including mail , rental leasing Goods Scientific research professional technical
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: postal activities Railway transport Road passenger freight Water Air Warehousing Services incidental to Postal including mail , rental leasing Goods Scientific research professional technical
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • EXCEL
    Report         DB
Employed persons II-3 Employed person by industry, occupation, weekly hours of work and
Description of Dataset category 1:Since 1982, the benchmark population for calculating , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: postal activities Railway transport Road passenger freight Water Air Warehousing Services incidental Postal including mail , rental leasing Goods Scientific research professional technical
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • EXCEL
    Report         DB
Employed persons II-3 Employed person by industry, occupation, weekly hours of work and
Description of Dataset category 1:Since 1982, the benchmark population for calculating , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: postal activities Railway transport Road passenger freight Water Air Warehousing Services incidental Postal including mail , rental leasing Goods Scientific research professional technical
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: retail trade Finance insurance Real estate goods rental leasing Scientific research professional , personal amusement Education learning support Medical health , institutes Professional Advertising Technical Eating places
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: heat supply water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research professional , personal amusement Education learning support Medical health
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: retail trade Finance insurance Real estate goods rental leasing Scientific research professional , personal amusement Education learning support Medical health , institutes Professional Advertising Technical Eating places
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: heat supply water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research professional , personal amusement Education learning support Medical health
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: postal activities Railway transport Road passenger freight Water Air Warehousing Services incidental Postal including mail , rental leasing Goods Scientific research professional technical
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • 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 , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: postal activities Railway transport Road passenger freight Water Air Warehousing Services incidental Postal including mail , rental leasing Goods Scientific research professional technical
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Jun.
  • Update date  2025-07-25
  • EXCEL
    Report
5 Indices of Items and Contribution to change of All Items Index for Japan and Ku-area of Tokyo Monthly
File:rental 駐車料金 parking 自動車免許手数料 driving license レンタカー料金 car 洗車代 Car wash ロードサービス料 Road 自動車保険料（自賠責） compulsion , games use ゲームソフト Game softwares 人形 Dolls 玩具自動車 Toy cars 組立玩具 Building blocks 切り花 flowers 切り花（カーネーション） Carnations
  • Annual Population and Social Security Surveys (The National Survey on Social Security and People's Life)
  • The National Survey on Social Security and People's Life in / Cross Tabulation
  • Survey date  FY2022Jul.
  • Update date  2025-07-31
  • EXCEL
16. Cross tabulation on relationships with others and social 243 Number of individuals by Last completed education level and Awareness of and attitude toward neighbors
File: Table Number of individuals by Last completed education level and Awareness attitude toward neighbors , know if there No response Total Elementary or junior high school High , ct_243_2en Attitudes behaviors those avoid interaction engage greetings
  • Annual Population and Social Security Surveys (The National Survey on Social Security and People's Life)
  • The National Survey on Social Security and People's Life in / Cross Tabulation
  • Survey date  FY2022Jul.
  • Update date  2025-07-31
  • EXCEL
14. Cross tabulation on family structure and financial conditions 186 Number of individuals by Disability certification status and Bearer of cost of living (currently
File: Table Number of individuals by Disability certification status and Bearer cost living currently 【Frequency】 【multiple answers】 Self Father Mother Grandparent Sibling Spouse Child Other relative Public assistance No response Total Do not have a disability
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Region (Statistical table) / Basic Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-01
  • EXCEL
    Report
1 Population aged 15 years old and over by labour forcestatus, main activity, status in employment, duration of employment contract, industry and age Northern-Kanto, Koshin
Description of Dataset category 1:Since 1982, the benchmark population for calculating , years because the Population Estimates are revised every , the same as of the time they released.
Therefore, databases for those periods are File: heat supply water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research professional , personal amusement Education learning support Medical health
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
2 Fatalities 2-3-4 Fatalities per 100,000 persons by type of violation of pedestrian (primary or secondary party)
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File:Careless crossing at railroad Drunken staggering etc , Careless crossing at railroad Drunken staggering etc , Traffic No Total * １　"Primary party" is whose negligence grossest among parties
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
3 Traffic death accidents 3-7 Trends in fatal accidents by type of accident
Description of Statistics: road statistics is official statistics that is based on the data reported from the prefectural police , caused by vehicles, streetcars and trains on the road , 30 days in the cause of these accidents. File: Head-on collision Rear-end colission moving Crossing Collision , collision Rear-end colission moving Crossing Collision while , Turnover Train * １　Changes percent changes are calculated based 2024. 　２　Indices
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1/1233Page
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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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  • ■ You can select the search target from "Statistics list", "List of datasets" or "Datasets".
  • ・ "Statistics list"... Statistics name, explanation of statistics.
  • ・ "List of datasets"... the ones that put datasets in a similar category together.
  • ・ "Datasets"... Meta informations (attached information) and data resources.

  • ■ Advanced Search
  • ・"Search Metadata"
  • 　... Search meta informations (attached information), such as metadata and table title.
  • ・"Search Data"
  • 　... Search data resources from database or files.

  • ■The following operators can be specified as search conditions.
  • ・" "(space) or "and" ... Pages containing all keywords are searched.
  • ・"or" ... Pages containing one of the keywords are searched.
  • ・"-" ... Pages containing the keywords are excluded from search.
  • ・Double-quotation "<keyword>"...The keyword will be searched in exact match.
  • ・Half bracket "()" ... The search condition in parentheses takes precedence.
  • 　(When specifying "and","or" there must be a space before and after.
  • 　　When specifying "-", there must be a space before.)

  • ■Enter with a combination of keywords and operators.
  • ・e.g. Population Census and Population