• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Historical data / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL

Quarterly Average Results 9-2 Employed persons who changed jobs in the past 1 year by age group (ten-year group) (number and rate) Quarterly figures since 1984

File: Supplementary-estimated figures persons:2015-census base rates:2005-census 　The reason treatment that yearly average results for whole , ７～９月期平均までの< >内の数値は補完的に推計した 値 2005年国勢調査基準 Note 　Figures covering March August “< Referential figures:2005

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Historical data / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL

Quarterly Average Results 9-3 Unemployed persons by duration of unemployment Quarterly figures since 1984

File: by duration of unemployment Whole Japan 万人 Ten thousand , Supplementary-estimated figures Referential figures: 2015-census , ７～９月期平均までの< >内の数値は補完的に推計した 値 2005年国勢調査基準 Note 　Figures covering March August “< figures:2005-census

• 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  2025Jun.
• Update date  2025-08-12
• EXCEL

Value of Contracts

File:Ｃｏｎｓｔｒｕｃｔｉｏｎ （Ｐｕｂｌｉｃ Ｃｏｎｓｔｒｕｃｔｉｏｎ） （Unit：million yen，％） Total amount Central Goverment Local Change ｆｒｏｍ ｔｈｅ State Public corporations Independent Enterprises Repeated listing Prefectures Cities wards towns and local Others Administrative central

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report DB

Employed persons II-3 Employed person with previous job (Changed jobs for the past year) by status in employment of the previous job, type of employment of the previous and duration of leaving a job

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: Total Ten thousand persons When took present which Duration Less than month to months less Status a0*20 Employee , Clerical Sales Service Security Agricultural forestry fishery Manufacturing

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Historical data / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL

Quarterly Average Results 9-1 Employed person by age group (ten-year group) and Employee by age group (ten-year group) and type of employment Quarterly figures since 1984

File:　years 55～64歳　years 65歳以上　years over 実数 Actual figures （万人） Ten thousand persons 割　合 Rates （％） Percent , worker Arbeit temporary Dispatched from labour agency Contract Entrusted , Supplementary-estimated Referential figures:2015-census base

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report DB

Population of 15 years old and over I-4 Population aged 15 years old and over by industry of the previous job, occupation the previous job and labour force status (person who worked as a non-agricultural employee and quitted in the past 3 years)

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: encouraged retirement Slump business uncertain future Retiring , gas heat supply water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report DB

Not in Labour Force IV-6 Not in labour force with previous job by when left the previous job, status in employment of the previous job, type of employment job, reason for leaving the previous job and age

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: down office Personnel retrenchment encouraged retirement Slump business uncertain , Industry Agriculture forestry Non-agricultural industries , insurance Real estate goods rental leasing Scientific research

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report DB

Unemployed person (ILO 2013) III-10 Unemployed person (ILO 2013) who left the previous job by when left the previous job, status in employment of the previous job, type of employment of the previous of the previous job, reason for leaving the previous job and

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: down office Personnel retrenchment encouraged retirement Slump business uncertain , gas heat supply water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report

Household V-4 Population of 15 years old and over (one-person household) by labour force status, status in employment, type of employment, whether began, reason for leaving the previous job, duration of unemployment

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: retrenchment encouraged retirement Slump business uncertain , because poor condition health Newly started Graduated school Necessary earn revenue Duration Less than months more less

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report DB

Employed persons II-17 Non-regular employee by status in employment of the previous of the previous job, reason for taking a non-regular employment, type of employment of the present job and when left the previous job

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File:gas heat supply water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research , down office Personnel retrenchment encouraged retirement Slump business uncertain

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report

Unemployed person (ILO 2013) III-6 Unemployed person (ILO 2013) by reason for seeking a job, reason for leaving the previous job, reason unable to take up a job, whether had a job, industry of the previous job, occupation of the previous job and kind

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: contract Circumstances employer business voluntary Newly , Agriculture forestry Non-agricultural industries Fisheries Mining , insurance Real estate goods rental leasing Scientific research

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report

Unemployed person (ILO 2013) III-12 Unemployed person (ILO 2013) with previous job by age, reason for seeking a job, reason for leaving the previous job and education

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: Personnel retrenchment encouraged retirement Slump in business uncertain future Retiring term your employment agreement , termination contract Circumstances employer voluntary Newly started

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report

Unemployed person (ILO 2013) III-9 Unemployed person (ILO 2013) who left the previous job in the past 3 years by status in employment of the previous job, occupation of the previous job, duration of unemployment, primary method used to seek a job and age

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: because poor condition health Industry Agriculture forestry , water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report DB

Not in Labour Force IV-4 left the previous job, reason for leaving the previous job, status in employment of the previous job, type of employment of the previous a business and when able to take a job

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: at home Industry Agriculture forestry Non-agricultural industries , gas heat supply water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report DB

Unemployed person (ILO 2013) III-4 , duration of unemployment, industry of the previous job, occupation of the previous job, reason for seeking a job, reason for leaving the previous job and reason unable to take up a job

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: because poor condition health Mandatory termination contract , had past Industry Agriculture forestry Non-agricultural industries , insurance Real estate goods rental leasing Scientific research

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report

Population of 15 years old and over I-3 Population aged 15 years old and over by labour force status, status in employment, type of employment, agri-/non-agriculture, reason for seeking a job,, whether wishing to work, reason not to seek a job, age, education and relationship

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: and over by labour force status in employment type of , forestry Non-agricultural industries Unemployed ILO Reason Quitted involuntary Mandatory retirement termination contract Circumstances

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report DB

Unemployed person (ILO 2013) III-3 , reason for leaving the previous job, reason unable to take up a job, duration of unemployment, and preference for employment as primary or secondary activity

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: Apr.-June Both sexes Ten thousand persons Duration Total Less than month , contract Circumstances employer business voluntary Newly started seek Graduated school Necessary earn revenue

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• EXCEL
  Report

Employed persons II-2 Employed person by type of household, relationship to the head of household, age, status in employment, type of employment, duration of employment contract, whether had a job, when left the previous job and reason for leaving the previous job

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: down office Personnel retrenchment encouraged retirement Slump business uncertain , gas heat supply water Information communications Transport postal activities Wholesale retail trade Finance insurance Real estate goods rental leasing Scientific research

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Detailed Tabulation
• Survey date  2025Apr.-Jun.
• Update date  2025-08-12
• 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 takingfor leaving the previous job, duration of unemployment, kind of job sought

Description of Dataset category 1: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: and over by labour force status began work for the past , close down office Personnel retrenchment encouraged retirement Slump in business , Necessary earn revenue Duration Less than months more less

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 5 Time series of Expenditures, Quantities and Average Prices per Household (Two-or-more-person Households), By Yearly Income Quintile Group of Household Head (Two-or-more-person Households) Food (Fish & shellfish)

File:品目別支出金額，購入数量及び平均価格（二人以上の世帯） Commodity Classification Table 5. Yearly Amount of Expenditures Quantities and , Tuna Horse mackerel Sardines Bonito Flounder Salmon Mackerel Saury Sea , period that includes or spans it is necessary care about containing gaps

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 5 Time series of Expenditures, Quantities and Average Prices per Household (Two-or-more-person Households), By Yearly Income Quintile Group of Household Head (Two-or-more-person Households) Transportation & communication -- Education

File:品目別支出金額，購入数量及び平均価格（二人以上の世帯） Commodity Classification Table 5. Yearly Amount of Expenditures Quantities and , maintenance monthly Charges for insurance Mobile communi , Automobiles Maintenance Gasoline repairs rent rental

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 6 By City Group, District and City with Prefectural Government (Two-or-more-person Food (Fish & shellfish)

File:年間の品目別支出金額，購入数量（二人以上の世帯） Commodity Classification Table 6. Yearly Amount of Expenditures and Quantities , Sardines Flounder Salmon Mackerel Saury Sea bream Yellowtail , sauce Others prefectural government 金 額 数 量 Exp. Quan

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / One-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification - Yearly Amount of Expenditures per Household 3 Time series of Expenditure One-person Households

File: Pasta 中華麺 Chinese noodles カップ麺 Cup 即席麺 Instant 他の麺類 他の , stock ふりかけ “Furikake” granular つゆ・たれ “Tsuyu” “Tare” , 歯科診療代 Dental 整骨 接骨 ・鍼灸院治療代 Osteopathic acupunctural moxibustic

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 6 By City Group, District and City with Prefectural Government (Two-or-more-person Transportation & communication -- Education

File: maintenance monthly Charges for insurance Mobile communi- group commu- trans- Railway tickets Airplane Highway Purchase Automobiles , parts except cars park sharing compulsion option Postage charges phones equipments prefectural government

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 5 Time series of Expenditures, Quantities and Average Prices per Household (Two-or-more-person Households), By Yearly Income Quintile Group of Household Head (Two-or-more-person Households) Furniture & household utensils

File:品目別支出金額，購入数量及び平均価格（二人以上の世帯） Commodity Classification Table 5. Yearly Amount of Expenditures Quantities and , 臭 用消耗品 サービス 関 連 世帯主 年齢階級 のその他 サ ー ビ ス Other Services Durable durable Interior Domestic Facial domestic , tableware lamps Towels paper laundry food wrap repellent

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 5 Time series of Expenditures, Quantities and Average Prices per Household (Two-or-more-person Households), By Yearly Income Quintile Group of Household Head (Two-or-more-person Households) Food (Oils, fats & seasonings -- Cakes & candies)

File:品目別支出金額，購入数量及び平均価格（二人以上の世帯） Commodity Classification Table 5. Yearly Amount of Expenditures Quantities and , granular “Tare” Year month Edible oil Margarine Salt , ketchup seasoning Dressing Jam Instant curry mix liquid Other income quintile

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Total households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification - Yearly Amount of Expenditures per Household 3 Time series of Expenditures Total Households

File: Pasta 中華麺 Chinese noodles カップ麺 Cup 即席麺 Instant 他の麺類 他の , stock ふりかけ “Furikake” granular つゆ・たれ “Tsuyu” “Tare” , communication 交通 Public transportation 鉄道運賃 Railway fares 鉄道通学定期代 Students' season

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 6 By City Group, District and City with Prefectural Government (Two-or-more-person Furniture & household utensils

File:年間の品目別支出金額，購入数量（二人以上の世帯） Commodity Classification Table 6. Yearly Amount of Expenditures and Quantities , conditioners Stoves fan heaters General Chests drawers Tables Sideboards , tableware lamps Towels paper laundry food wrap repellent

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 6 By City Group, District and City with Prefectural Government (Two-or-more-person Food (Oils, fats & seasonings -- Cakes & candies)

File:年間の品目別支出金額，購入数量（二人以上の世帯） Commodity Classification Table 6. Yearly Amount of Expenditures and Quantities , Dressing Jam Instant curry mix Soup liquid Other seasonings 1g Seasonings 1㎖ dried soup stock prefectural government 金 額 数 量 Exp. Quan. 全国 All

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 5 Time series of Expenditures, Quantities and Average Prices per Household (Two-or-more-person Households), By Yearly Income Quintile Group of Household Head (Two-or-more-person Households) Food (Vegetables & seaweeds (Dried vegetables & seaweeds) -- Fruits

File:品目別支出金額，購入数量及び平均価格（二人以上の世帯） Commodity Classification Table 5. Yearly Amount of Expenditures Quantities and , ” seaweed tangle Soybean Bean curd Fried fermented soybean tongue , Grapes Persimmons Peaches Watermelons Melons Strawberries

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 6 By City Group, District and City with Prefectural Government (Two-or-more-person Food (Vegetables & seaweeds (Dried vegetables & seaweeds) -- Fruits

File:年間の品目別支出金額，購入数量（二人以上の世帯） Commodity Classification Table 6. Yearly Amount of Expenditures and Quantities per Household by City Group District with Prefectural Government Two-or-more-person , products 1丁 block bean soybeans jelly Others prefectural government 金 額

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

3 Purchases and Sales of Foreign Securities by Residents by Types of Investors (Total)

File:投資家部門別対外証券投資（合計） 最終更新日 令和7年8月8日 Purchases and Sales of Foreign Securities by Residents Types Investors Total Final Update August （単位：億円） （Unit , Insurance Companies Non-Life Investment Management Others

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

4 Purchases and Sales of Foreign Securities by Residents by Types of Investors (Equity and Investment Fund Shares)

File:投資家部門別対外証券投資（株式・投資ファンド持分） 最終更新日 令和7年8月8日 Purchases and Sales of Foreign Securities by Residents , Insurance Companies Non-Life Investment Management Others , respectively. Time-series data for months through are

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

5 Purchases and Sales of Foreign Securities by Residents by Types of Investors (Long-term Debt Securities)

File:投資家部門別対外証券投資（中長期債） 最終更新日 令和7年8月8日 Purchases and Sales of Foreign Securities by Residents , Insurance Companies Non-Life Investment Management Others , respectively. Time-series data for months through are

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

6 Purchases and Sales of Foreign Securities by Residents by Types of Investors (Short-term Debt Securities)

File:投資家部門別対外証券投資（短期債） 最終更新日 令和7年8月8日 Purchases and Sales of Foreign Securities by Residents , Insurance Companies Non-Life Investment Management Others , respectively. Time-series data for months through are

• International Transactions in Securities
• International Transactions in Securities
• Survey date  2025Jul.
• Update date  2025-08-08
• 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8月8日 International Transactions in Securities Monthly; based , 期　　債 合計 Equity and investment fund shares Long-term debt securities , the　new items "Equity shares" starting January 2014. Totals may not add due rounding

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Use Classification - Yearly Average of Monthly Receipts and Disbursements per Household 1-2 Time series of Receipts and Disbursements Workers' Households (Non-consumption expenditures -- Engel's coefficient)

File:非消費支出～　 第１－２表　１世帯当たり１か月間の収入と支出（二人以上の世帯のうち勤労者世帯） Table 1-2. Average of Monthly Receipts and Disbursements , increase in Year month Non- Social Public non- Insurance , propensity disposable Engel's expenditures taxes income premiums Savings payments securities

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 6 By City Group, District and City with Prefectural Government (Two-or-more-person Food (Meat -- Dairy Products & eggs)

File:年間の品目別支出金額，購入数量（二人以上の世帯） Commodity Classification Table 6. Yearly Amount of Expenditures and Quantities per Household by City Group District with Prefectural Government Two-or-more-person , Ham Sausages Bacon processed Meat 1g prefectural government

• Statistics about Road Traffic
• Traffic accidents situation(June)
• Survey date  2025Jan.-Jun.
• Update date  2025-07-29
• CSV EXCEL
  Report

4 Trends in enforcement of violations of the Road Traffic 4-1 Trends in enforcement of violations of the Road Traffic

Description of Statistics: at accidents involving fatalities or injuries caused by vehicles , is utilized effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File: restraining toddler restraint system -29.7Notice -11.7The , traffic signal Impeding pedestrians Failure stop while , restraint system ３　The order pay Abandonment Penalty

• 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

Description of Statistics: at accidents involving fatalities or injuries caused by vehicles , is utilized effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File:3-4　Trends in fatal accidents caused by licensed vehicle , Improper crossing turning around overtaking Failure to stop at railway , Improper crossing turning around overtaking Failure to stop at railway

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Use Classification - Yearly Average of Monthly Receipts and Disbursements per Household 1-1 Time series of Disbursements Two-or-more-person Households (Distribution of households -- Furniture & household utensils)

File:Furniture Durable goods Heating furnishings Domestic , Salted Fish-paste Processed products Fresh Vegetables vegetables Soybean , includes spans it is necessary to care about containing gaps

• 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

Description of Statistics: at accidents involving fatalities or injuries caused by vehicles , is utilized effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File:3-2-1 Trends in fatal accidents caused by licensed vehicle , Improper crossing turning around overtaking Failure to stop at railroad , Speeding Improper crossing turning around overtaking Failure to stop at railroad

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Use Classification - Yearly Average of Monthly Receipts and Disbursements per Household 1-2 Time series of Receipts and Disbursements Workers' Households (Disbursements -- Furniture & household utensils)

File:支払～家具・家事用品 第１－２表　１世帯当たり１か月間の収入と支出（二人以上の世帯のうち勤労者世帯） Table 1-2. Average of Monthly Receipts and Disbursements , Service charges Water Furniture Durable goods Heating Interior Domestic , cooling General furnishings non-durable ments Expenditures expenditures

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 5 Time series of Expenditures, Quantities and Average Prices per Household (Two-or-more-person Households), By Yearly Income Quintile Group of Household Head (Two-or-more-person Households) Medical care

File:品目別支出金額，購入数量及び平均価格（二人以上の世帯） Commodity Classification Table 5. Yearly Amount of Expenditures Quantities and , external Medical medical acupunctural Year month intestinal Eutrophic wound & Health supplies Paper Contact Dental Delivery hospital moxibustic

• Family Income and Expenditure Survey
• Family Income and Expenditure Survey / Income and Expenditure / Two-or-more-person households / Annual Report
• Survey date  2024
• Update date  2025-08-08
• EXCEL
  Report

Commodity Classification -Yearly Amount of Expenditures, Quantities and Average Prices per 5 Time series of Expenditures, Quantities and Average Prices per Household (Two-or-more-person Households), By Yearly Income Quintile Group of Household Head (Two-or-more-person Households) Other consumption expenditures

File:品目別支出金額，購入数量及び平均価格（二人以上の世帯） Commodity Classification Table 5. Yearly Amount of Expenditures Quantities and , Liquid Makeup Umbrellas Handbags Suitcases Wrist miscel- Religious altar , Money gifts dwelling domestic remittance Age head 額 数 量 価 格 Exp. Quan. Price

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / 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: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: Clerical Sales Service Security Agricultural forestry fishery Manufacturing , beverage Finance insurance Real estate rental leasing Goods , tables Attention needs be paid some the results because

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / 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: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: Clerical Sales Service Security Agricultural forestry fishery Manufacturing , beverage Finance insurance Real estate rental leasing Goods , tables Attention needs be paid some the results because

• Statistics about Road Traffic
• Traffic accidents situation
• Survey date  2025Jun.
• Update date  2025-07-29
• 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: at accidents involving fatalities or injuries caused by vehicles , is utilized effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File:around overtaking Failure to stop at railroad right turn left Roundabouts , Speeding Improper crossing turning around overtaking Failure to stop at railroad , while fatigued Violation safe practices steering and/or braking Careless Not keeping

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / 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: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: Clerical Sales Service Security Agricultural forestry fishery Manufacturing , Industry a0060 All industries Agriculture Forestry Non-agricultural , beverage Finance insurance Real estate rental leasing Goods

• Labour Force Survey
• Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / 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: adjusted to comparable time-series data (the intercensal-level , figures are presented in "Statistical table".
On the other hand, figures on the databases are not adjusted ones File: Clerical Sales Service Security Agricultural forestry fishery Manufacturing , distribution postal activities Railway transport Road , beverage Finance insurance Real estate rental leasing Goods