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  • Report on Internal Migration in Japan
  • Report on Internal Migration in Japan / Annual report (Real number) 2020-
  • Survey date  2024
  • Update date  2025-04-24
  • EXCEL
    Report         DB
10 of In-migrants by Sex and Origin (Prefectures, 21 Major Cities) for Prefectures and Municipalities (Shi, Ku, Machi and Mura) (All nationalities) : 2024 Saitama-ken
File:Ku Machi Mura : 移動者 All nationalities 埼　　 玉　　 県 Saitama-ken 　　　 移動後の住所地 Destination 移動前の住所地 埼 玉 市 部 郡
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jul.
  • Update date  2025-08-19
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-3 Fatalities of elderly persons (aged 65+) by prefecture
File:Yamagata Fukushima Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka , Yamagata Fukushima Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jul.
  • Update date  2025-08-19
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-1 Road traffic accidents, fatalities and injuries by prefecture (monthly)
File:Ibaraki 3.0Kanto Tochigi -2.7Kanto Gunma 7.8Kanto Saitama 2.0Kanto Chiba 5.1Kanto Kanagawa 10.4Kanto Niigata , Fukushima *** Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jul.
  • Update date  2025-08-19
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-2 Road traffic accidents, fatalities and injuries by prefecture (from the beginning
File:Ibaraki -1.6Kanto Tochigi 9.2Kanto Gunma 0.0Kanto Saitama -3.9Kanto Chiba Kanagawa 0.6Kanto Niigata -8.0Kanto , Fukushima *** Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Vital Statistics
  • Vital Statistics / Vital statistics of Japan / Final data / Summary
  • Survey date  2023
  • Update date  2024-09-17
  • CSV
Volume 2 2 Summary tables of vital statistics (number of cases), for prefecture, each health center and each municipality (city, town, village) 11 Saitama
File:Vital statistics of Japan Volume Summary Table Saitama tables vital number cases ，for urban/rural residence Description of Statistics:, deaths, marriages, divorces and foetal deaths. However, this , in tables - Magnitude zero ... Data not available . , , List of chapter titled items - List of Statistical Tables (Excel)
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jul.
  • Update date  2025-08-19
  • EXCEL
    Report
Traffic accidents situation(year to July,2025)
File:Fukushima *** Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-3 Fatalities of elderly persons (aged 65+) by prefecture
File:Yamagata Fukushima Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka , Yamagata Fukushima Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
6 Road traffic accidents by prefecture 6-1 Road traffic accidents, fatalities and injuries per 100,000 persons by prefectures
File:Yamagata Fukushima Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka , Yamagata Fukushima Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-1 Road traffic accidents, fatalities and injuries by prefecture (monthly)
File:Ibaraki 9.2Kanto Tochigi 17.3Kanto Gunma 5.6Kanto Saitama -0.5Kanto Chiba 0.9Kanto Kanagawa -0.8Kanto Niigata , Fukushima *** Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
6 Road traffic accidents by prefecture 6-2 Road traffic accidents, fatalities and injuries by prefecture
File:Ibaraki -2.4Kanto Tochigi 11.3Kanto Gunma -1.3Kanto Saitama -4.8Kanto Chiba 0.1Kanto Kanagawa -1.1Kanto Niigata , Yamagata Fukushima Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-2 Road traffic accidents, fatalities and injuries by prefecture (from the beginning
File:Ibaraki -2.4Kanto Tochigi 11.3Kanto Gunma -1.3Kanto Saitama -4.8Kanto Chiba 0.1Kanto Kanagawa -1.1Kanto Niigata , Fukushima *** Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Statistics about Road Traffic
  • Traffic accidents situation(June)
  • Survey date  2025Jan.-Jun.
  • Update date  2025-07-29
  • CSV EXCEL
    Report
6 Road traffic accidents by prefecture 6-3 Fatalities of elderly persons (aged 65+) by prefecture
File:38Kanto Ibaraki 20Kanto Tochigi 16Kanto Gunma 11Kanto Saitama 25Kanto Chiba 27Kanto Kanagawa 40Kanto Niigata , Yamagata Fukushima Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • 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 6 By City Group, District and City with Prefectural Government Food (Meat -- Dairy Products & eggs)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Food (Alcoholic beverages -- Meals outside the home)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Food (Fish & shellfish)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Food (Oils, fats & seasonings -- Cakes & candies)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Distribution of Households -- Food (Cereals)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Clothing & footwear (Underwear -- Services related to clothing)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Clothing & footwear (Japanese clothing -- Shirts & sweaters)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Medical care
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Food (Cooked food -- Beverages)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Food (Vegetables & seaweeds (Dried vegetables & seaweeds) -- Fruits
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Food (Vegetables & seaweeds (Fresh vegetables) )
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Culture & recreation (Recreational services)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Housing -- Fuel, light & water charges
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Transportation & communication -- Education
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Recreational durable goods -- Books & other reading materials)
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Furniture & household utensils
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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 6 By City Group, District and City with Prefectural Government Other consumption expenditures
File:Mito-shi 宇都宮市 Utsunomiya-shi 前橋市 Maebashi-shi さいたま市 Saitama-shi 千葉市 Chiba-shi 東京都区部 Ku-areas Tokyo 横浜市 Yokohama-shi
  • 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:Fukushima *** Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Description of Statistics:and trains on the road prescribed in Article 2, Paragraph , effectively for formulating Traffic Safety Measures and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / 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 job, type of employmentprevious job, occupation of the previous job, reason for taking a non-regular employment, type of employment the present job and when left the previous job(quitted a job in the past 3 years)
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File: years Apr.-June Both sexes Total Had Ten thousand Reason main regrouped continued , communications Transport postal activities Wholesale retail trade Finance insurance , Sales Service Security Agricultural fishery process
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report
Unemployed person (ILO 2013) III-6 reason for leaving the previous job, reason unable to take up a job, whether had a job, industry of the previous
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:sought Apr.-June Total Ten thousand persons Sex Both sexes Male Female , member housework schooling because poor condition health Not satisfied with salary available Unfavorable , communications Transport postal activities Wholesale retail trade Finance insurance
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report
Unemployed person (ILO 2013) III-9 who left the previous job in the past 3 years by status in employment of the previous job, type of employmentof the previous job, duration of unemployment, primary method used to seek a job and age
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File: Ten thousand Duration Total Primary Age Less than month less , Waiting Other old over Status 24歳 34歳 44歳 54歳 64歳 以上 , communications Transport postal activities Wholesale retail trade Finance insurance
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report         DB
Unemployed person (ILO 2013) III-4 for leaving the previous job and reason unable to take up a job
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table III-4 Unemployed person ILO , satisfied with salary available Unfavorable working , communications Transport postal activities Wholesale retail trade Finance insurance
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report         DB
Not in Labour Force IV-4 previous job, reason for leaving the previous job, status in employment of the previous job, type of employmentsought a job or prepared a business and when able to take a job
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table IV-4 Not in labour force who , communications Transport postal activities Wholesale retail trade Finance insurance , Sales Service Security Agricultural fishery process
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report
Employed persons II-2 household, relationship to the head of household, age, status in employment, type of employment, duration ofengaged, industry, occupation, weekly hours of work, main activity, whether had a job, when left the previous
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table II-2 Employed person by type , engaged industry occupation weekly hours work main activity whether had a job when left previous and , communications Transport postal activities Wholesale retail trade Finance insurance
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report         DB
Unemployed person (ILO 2013) III-10 the previous job by when left the previous job, status in employment of the previous job, type of employment
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table III-10 Unemployed person ILO , communications Transport postal activities Wholesale retail trade Finance insurance , Sales Service Security Agricultural fishery process
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / 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
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table IV-6 Not in labour force with , communications Transport postal activities Wholesale retail trade Finance insurance , Sales Service Security Agricultural fishery process
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report
Household V-4 and over (one-person household) by labour force status, status in employment, type of employment, whether
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table V-4 Population of years old , better For marriage childbirth child-rearing caring aged sick family , etc. under current economic situation season Waiting start new After graduation Within
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report
Unemployed person (ILO 2013) III-2 a job, reason for seeking a job, reason unable to take up a job, age,type of household, relationship to
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File: Newly started Not satisfied with salary available Unfavorable , directly preparation start making inquiries about results waiting Registered Advertisements Through acquaintance Preparation Making Waiting Male Female
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report         DB
Unemployed person (ILO 2013) III-1 a job, reason for seeking a job, reason unable to take up a job, age, type of household, relationship
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File: Newly started Not satisfied with salary available Unfavorable , revenue which spouse child other family members Regular employee Non-regular Mandatory , directly Preparation start Making inquiries about results Waiting Secondary
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / 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
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File: better For marriage childbirth child-rearing caring sick family , house suitable own knowledge skill favorable working hours salary etc. under current economic situation season Waiting start new After graduation Within
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report         DB
Unemployed person (ILO 2013) III-8 Unemployment person (ILO 2013) by age, marital status, type of household, relationship to the head of household, status in employment of the previous job, type of employment
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table III-8 Unemployment person ILO , Sales Service Security Agricultural fishery Manufacturing , postal activities Wholesale retail trade Finance insurance
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report         DB
Population of 15 years old and over I-4 reason for leaving 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:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table I-4 Population aged years old , quitted in past Apr.-June Both sexes Total Ten thousand , communications Transport postal activities Wholesale retail trade Finance insurance
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-08-12
  • EXCEL
    Report         DB
Employed persons II-10 household, weekly hours of work, industry, occupation, status in employment, type of employment, duration of
Description of Dataset category 1:Since 1982, the benchmark population for calculating the results of the Labour , adjusted to comparable time-series data (the intercensal-level adjustment data or the retroactive , ".
On the other hand, figures on the databases are not adjusted ones and remain the same as File:Detailed tabulation Table II-10 Employed person by age , Sales Service Security Agricultural fishery Manufacturing , postal activities Wholesale retail trade Finance insurance
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