1. Top Page
  2. Browse Statistics
  3. File
Filtered by:
File
wine
Back to Statistics list (Clear all)

List of datasets

Batch download
<< < 1 2 3 4 5 6 7 8 9 > >>
1/1440Page
  • Statistics name
  • Dataset category0・Dataset category
  • Survey date
  • Update date
  • View / Download
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Jun.
  • Update date  2025-07-18
  • EXCEL
    Report
Statistical Tables 1 Retail Prices of Major Items by Cities [Jun. 2025] [8001 P.T.A. membership fees] - [9951 After-school childcare fees]
File: 水着 1着 Swimming suits 人形 Dolls 玩具自動車 Toy cars 組立玩具 Building , メモリーカード 1枚･128GB Memory cards 新聞代 地方・ブロック紙 Newspapers local block 講習料 水泳 Lesson swimming ダンス dance , decorated flower width cm pairs offering incense [a portrait deceased
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Jun.
  • Update date  2025-07-18
  • EXCEL
    Report
Statistical Tables 1 Retail Prices of Major Items by Cities [Jun. 2025] [5011 Women's 'Kimono'] - [7445 Mobile phones]
File: 1本 "Obi" 男性用スーツ 春夏物 中級 1着 Men's suits for spring summer medium 秋冬物 autumn winter 普通 ordinary 男性用上着 , 鼻炎薬 1箱･48カプセル rhinitis 胃腸薬 1箱･50錠 Gastroenteric medicines ビタミン剤 ビタミン , ，回線使用料 Telephone fixed-line phone circuit
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Jun.
  • Update date  2025-07-18
  • EXCEL
    Report         DB
3 Subgroup Index for Selected Areas (City Groups,Districts and Cities with Prefectural Governments) Annual Average
File: with Prefectural Governments 2024年平均 2020年＝100 C.Y.2024 , effects Tobacco miscellaneous Energy Expenses education culture information , プロパンガス 灯油及びガソリン Manufactured piped gas Liquefied propane Kerosene Gasoline
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Jun.
  • Update date  2025-07-18
  • EXCEL
    Report         DB
3 Subgroup Index for Selected Areas (City Groups,Districts and Cities with Prefectural Governments) Fiscal Yearly Average
File: with Prefectural Governments 2024年度平均 2020年＝100 F.Y.2024 , effects Tobacco miscellaneous Energy Expenses education culture information , プロパンガス 灯油及びガソリン Manufactured piped gas Liquefied propane Kerosene Gasoline
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Jun.
  • Update date  2025-07-18
  • EXCEL
    Report
Statistical Tables 1 Retail Prices of Major Items by Cities [Jun. 2025] [3001 House rent, private] - [4515 Sewage disposal charges]
File:市 Table 1. Retail Prices of Major Items by Cities with Prefectural Government and Population or More 【 , 全自動洗濯機 Washing machines full automatic type 全自動洗濯乾燥機 Drying ルームエアコン Room air conditioners 温風ヒーター Fan heaters 空気清浄機 Air 食器戸棚 1本 Kitchen cabinets
  • International Transactions in Securities
  • International Transactions in Securities
  • Survey date  2025Jun.
  • Update date  2025-07-08
  • CSV
2 Ten days of a month
File:Short-term Total 取得 処分 ネット Acquisition Disposition Net Net2005 １月上旬 1-10 Jan 平成17年 中旬 11-20 下旬 21-31 2月上旬 , マイナス（－）は処分超を表す。 Note Transactions related to funds will be recorded under the　new items "Equity shares" , net aquisition with a plus sign ＋ disposition minus
  • Input-Output Tables for Japan
  • 2020 Input-Output Tables
  • Survey date  2020
  • Update date  2025-07-11
  • EXCEL
Supply and Use Tables Appendix1-3
File:・変成器産業 Relay switches switchboards 開閉制御装置・配電盤 開閉制御装置・配電盤産業 Wiring , の電気機械器具産業 Wired communication 有線電気通信機器 有線電気通信機器産業 Mobile phone , ）） nuclear 電気（原子力） hydroelectric geothermal solar wind etc. 電気（水力、地熱、太陽光、風力等） 都市ガス 都市ガスサービス産業 Steam hot
  • Population Estimates
  • Population Estimates / Annual Report
  • Survey date  1996
  • Update date  2025-07-09
  • EXCEL
Japan 6 and Sex from October 1995 to September 1996 -Japanese, Foreigners
File:Year Age Groups Sex from October to September Japanese Foreigners 日本人 男女計 Both sexes 男 Male 女 Female 年齢階級 , 表　年齢５歳階級，男女別出入国者数－日本人，外国人（平成7年10月～8年9月）　（続き） -Continued 外国人 注　1 　滞在期間が90日未満の者を除く。 Note Excluding persons whose period intended stay is within days.
  • International Transactions in Securities
  • International Transactions in Securities
  • Survey date  2025Jun.
  • Update date  2025-07-08
  • CSV
1 Monthly
File: Net 取得 処分 （A-B C-D Acquisition Disposition A C B D １ , マイナス（－）は処分超を表す。 Note Transactions related to funds will be recorded under the　new items "Equity shares" , net aquisition with a plus sign ＋ disposition minus
  • Indexes of Business Conditions
  • Indexes of Business Conditions / 202505 / Preliminary Release
  • Survey date  2025May
  • Update date  2025-07-07
  • EXCEL DB
Lagging Index
File:総合 最終需要財在庫指数 Time Monthly Code Calendar year Month Index of Tertiary Industry Activity Business Services , Revenue Unemployment Rate Inverted Contractual Cash Earnings , figures" As please see following site; https://www.stat.go.jp/english/data/kakei
  • International Transactions in Securities
  • International Transactions in Securities
  • Survey date  2025Jun.
  • Update date  2025-07-08
  • CSV
3 Sales of Foreign Securities by Residents by Types of Investors (Total)
File:） Central Bank a General Government ｃ Banks（Banking Accounts Trust Banks , with plus sign ＋ disposition minus In view the amendment Exchange Trade Act relevant ordinances that took place line enforcement on September
  • The Special Data Dissemination Standard Plus
  • SDDS Plus / Financial Soundness Indicators (FSIs)
  • Survey date  2025Jan.-Mar.
  • Update date  2025-06-30
  • EXCEL DB
Financial Soundness Indicators (FSIs)
Description of Statistics: established by the International Monetary Fund (IMF) for timely dissemination , standard, "SDDS". The Office of Director-General for Policy Planning on Statistical Standards, , (National Summary Data Page), in cooperation with the Ministry of Finance and other File:FSIs Statistics name: SDDS Plus Title: Financial Soundness Indicators Note * Tier and will not be used for domestic banks with only "core capital ** " being captured as regulatory , risk-weighted assets assets_ reference Nonperforming loans net provisions total gross Return Liquid short-term
  • Trade Statistics
  • Trade Statistics Data for Japan / Trade Indexes
  • Survey date  2025May
  • Update date  2025-06-27
  • CSV
D & P 25-01 Trade Indexes (Jan-May:D & P)
Description of Dataset category 1:Please be noted that as of EU data, indexes from 2015 January are based on 27 countries with united Kingdom excluded, while indexes until 2014 File: steel Those other Alloy Steel Clad Plated Coated with Zinc Thickness less than 3mm Tubes Pipes Non-Ferrous , Relays Fuses Insulated Wire Cable Visual apparatus T.V. Receivers , Photographic Supplies Blank/Recorded Media Musical Instrument Meat Bovine Animals Swine Fish Crustacea
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report         DB
Population aged 15 years old and over I-4 years old and over by labour force status, status in employment, type of employment (employee in non-agricultural industries by number of persons engaged in enterprise
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File:marital age May Both sexes Ten thousand Marital Total Never married Married Widowed or divorced to Labour a0050 Employed person Self-employed worker Family with without Ordinary Doing piecework at home which , forestry Non-agricultural regrouped Government Number Unemployed Attending school Housekeeping participation
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report         DB
Employed persons II-10 Employed person by status in employment, type of employment, duration of employment
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File: classified Engineers Health care Teachers Other professional General , Family with employee without Ordinary Doing piecework at home , More year years Over Not knowing the sure if is specified Status unknown Male Female
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report         DB
Population aged 15 years old and over I-5 labour force status, agri-/non-agriculture, status in employment (employee in non-agricultural industries by number of persons engaged in enterprise), duration of employment contract, type
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File: Ten thousand Type I Total Two-or-more-person continued One-person Employed person Household unemployed , Non-agricultural Self-employed Employee a0050 worker Family with without Ordinary Doing piecework at home which , year Over Not knowing sure if is specified Status agriculture regrouped
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report         DB
Population aged 15 years old and over I-3 years old and over by labour force status, status in employment, type of employment (employee in non-agricultural industries by number of persons engaged in enterprise
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File: Ten thousand Type I Total Two-or-more-person continued One-person The Spouse Other family members which , worker Family with without Ordinary Doing piecework at home worked , Over Not knowing sure if is specified Status unknown work not Agriculture
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report         DB
Population aged 15 years old and over I-1 years old and over by labour force status, status in employment, type of employment (employee by number of persons engaged in enterprise), duration of employment contract, and
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File:a0050 Employed person Self-employed worker Family With Without Ordinary without Doing piecework at home , year Over Not knowing the sure if is specified Status unknown all industries , forestry agriculture Non-agricultural non-agricultural Unemployed participation rate % Employment Unemployment
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • 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 , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File: executive to more　 Government Number with without which worked less than hours a week Regular , Other Less month up months More year years Over knowing persons　　　 Industry a0050 All industries Agriculture , fabricated metal general-purpose machinery production business oriented
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report         DB
Population aged 15 years old and over I-2 years old and over by labour force status, status in employment, type of employment (employee in non-agricultural industries by number of persons engaged in enterprise), duration of employment contract, main activity, agri-/non-agriculture, type of household
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File: worker Family with without Ordinary Doing piecework home which worked , Over Not knowing the sure if is specified Status unknown Agriculture , forestry Non-agricultural regrouped Government Number Unemployed Attending Housekeeping participation rate
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report
Population aged 15 years old and over I-6 years old and over by labour force status, status in employment, type of employment (employee in non-agricultural industries by number of persons engaged in enterprise
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File: worker Family without Ordinary Doing piecework home worked less than , year Over Not knowing sure if is specified Status unknown Agriculture , forestry Non-agricultural regrouped Government Number Unemployed Attending Housekeeping participation rate
  • Trade Statistics
  • Trade Statistics The trade general condition / Principal of Commodity by Area(Country) / Import
  • Survey date  2025May
  • Update date  2025-06-27
  • CSV
9-digit Provisional 25-01 Principal of Commodity by Area(Country) (Import Jan-Apr
File:TEXTILE YARN FABRICS NON-METALLIC WARE & CORK MACHINERY POWER GENERATING MACHINE COMPUTERS UNITS PARTS COMPUTER ELECTRICAL SEMICONDUCTORS ETC IC INSULATED WIRE CABLE AUDIO VISUAL APPARATUS TELEPHONY , QATAR OMAN ISRAEL U ARB E NORWAY SWEDEN DENMARK KING IRELAND NETHLDS BELGIUM FRANCE GERMANY SWITZLD SPAIN
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report         DB
Employed persons II-4 relationship to the head of household, age, status in employment, type of employment, duration of employment contract, number of persons engaged in enterprise, industry, occupation, weekly days of
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File: worker Family with without Ordinary Doing piecework home worked less , knowing sure if is specified unknown Government Industry , fishery process machine operation mining Carrying cleaning packaging related
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Jun.
  • Update date  2025-06-27
  • EXCEL
    Report
Statistical Tables 2 Retail Prices of Major Items for Ku-area of Tokyo [Jun. 2024 - Jun. 2025] [8001 P.T.A. membership fees] - [9951 After-school childcare fees]
File: Tennis Fishing Athletic shoes Sweatpants Swimming Dolls Toy cars , earth dog cat parlor supplies cards local block swimming dance music English calligraphy physical lesson , quality a set articles encoffining support altar decorated with flower width cm pairs
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report
Households IV-8 Number of households with wife and husband by age, labour force status (wife), labour force status, status in employment, agri-/non-agriculture, weekly hours of
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File:Basic tabulation Table IV-8 Number of households with wife and husband by age labour force status in , type household May Total Ten thousand Labour continued Not Employed person Unemployed 　 Self-employed , Wife a0050 years old over Regrouped Household parent
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) (Whole Japan) / Basic Tabulation
  • Survey date  2025May
  • Update date  2025-06-27
  • EXCEL
    Report
Households IV-7 Number of households with wife and husband by labour force status, agri-/non-agriculture, status in labour force, weekly hours of work, monthly hours of work (wife and husband) and family type of household
Description of Dataset category 1:Since 1982, the benchmark population for calculating , on the databases are not adjusted ones and remain the same as of the time they released , databases for those periods are different from the ones in the annual report published in each year or on File:Basic tabulation Table IV-7 Number of households with wife and husband by labour force status agri-/non-agriculture in weekly hours work monthly family type household May Total Ten thousand Labour continued employment Not Husband Employed person Unemployed
disp_toukeih
<< < 1 2 3 4 5 6 7 8 9 > >>
1/1440Page
「」outline
Statistics name
URL
Ministry (Division) in charge
E-mail address
Phone number
  • 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.

Batch download

　　
Options
File type
Estimated size list

Save search condition

    Save the search condition. Please input an arbitrary name and press save button.
    * As the initial value, set "Search condition (YYYY - MM - DD HH: SS)" as the name.
Save
Search help

  • ■ 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