Filtered by:
File
toyota
Back to Statistics list (Clear all)

List of datasets

Batch download
<< < 1 2 3 4 5 6 7 8 9 > >>
1/561Page
  • Statistics name
  • Dataset category0・Dataset category
  • Survey date
  • Update date
  • View / Download
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-3 Fatalities of elderly persons (aged 65+) by prefecture
Description of Statistics:Traffic road statistics is official statistics that is based on the data reported from the prefectural police, which is targeted , and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File: Niigata Yamanashi Nagano Shizuoka Chubu Toyama Ishikawa Fukui Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-1 Road traffic accidents, fatalities and injuries by prefecture (monthly)
Description of Statistics:Traffic road statistics is official statistics that is based on the data reported from the prefectural police, which is targeted , and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File: Kitami Total Tohoku Aomori Iwate Miyagi Akita Yamagata , Niigata Yamanashi Nagano Shizuoka Chubu Toyama Ishikawa Fukui Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-2 Road traffic accidents, fatalities and injuries by prefecture (from the beginning of the year to the present month)
Description of Statistics:Traffic road statistics is official statistics that is based on the data reported from the prefectural police, which is targeted , and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File: Kitami Total Tohoku Aomori Iwate Miyagi Akita Yamagata , Niigata Yamanashi Nagano Shizuoka Chubu Toyama Ishikawa Fukui Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • EXCEL
    Report
Traffic accidents situation(year to November,2025)
Description of Statistics:Traffic road statistics is official statistics that is based on the data reported from the prefectural police, which is targeted , and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File: *** Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Chubu Toyama Ishikawa Fukui Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane
  • Report on Internal Migration in Japan
  • Report on Internal Migration in Japan / Monthly report
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • EXCEL
    Report
    DB
1 Number of Intra-prefectural Migrants, In-migrants from Other Prefectures and Out-migrants to Other Prefectures by Sex for Japan, Prefectures, Tokyo Area, Nagoya Area, Osaka Area and 21 Major Cities
File: Tokyo Area Nagoya Osaka Major Cities 2025年10月 October , 東京都 Tokyo-to 神奈川県 Kanagawa-ken 新潟県 Niigata-ken 富山県 Toyama-ken , 京都市 Kyoto-shi 大阪市 Osaka-shi 堺市 Sakai-shi 神戸市 Kobe-shi 岡山市
  • Report on Internal Migration in Japan
  • Report on Internal Migration in Japan / Monthly report
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • EXCEL
    Report
    DB
2 Inter-prefectural Migrants by Sex and Origin for Prefectures, Tokyo Area, Nagoya Area, Osaka Area and 21 Major Cities
File: and Origin for Prefectures,     Tokyo Area Nagoya Osaka Major Cities 2025年10月 October , 神  奈  川 県 新   潟   Chiba-ken Tokyo-to Kanagawa-ken Niigata-ken 富   石   川   井   梨   , 戸 Kyoto-shi Osaka-shi Sakai-shi Kobe-shi 山 広 島 北 九 州 福
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Historical data / Basic Tabulation
  • Survey date  2025Oct.
  • Update date  2025-11-28
  • EXCEL
[Monthly figures - Results of whole Japan] Others 1-e-1 [Reference table] Monthly regional results in Southern-Kanto and since Jan. 1998
File:労働力人口 非労働力人口 完全失業率 (%) 就業者 完全失業者 雇用者 Labour force Employed person Employee Unemployed Not labour Unemployment , 奈良県、和歌山県 Please refer to "※注_Notes" the sheet. : Saitama Chiba Tokyo Kanagawa Shiga Kyoto Osaka Hyogo Nara Wakayama ※注_Notes 注 Notes 該当シート
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Nov.
  • Update date  2025-11-28
  • EXCEL
    Report
Statistical Tables 2 Retail Prices of Major Items for Ku-area of Tokyo [Nov [1001 Non-glutinous rice] - [2183 School lunch]
File:A002-2 第2表 主要品目の東京都区部小売価格 Table 2. Retail Prices of Major Items for Ku-area Tokyo , Margarine Salt Soy sauce Soybean Sugar Vinegar Worcester Ketchup Mayonnaise , meal sardines patties bars fillets belly loin algae soybeans jelly apricot soy cabbage mix roast noodle crackers
  • Trade Statistics
  • Trade Statistics The trade general condition / Value of Exports and Imports by Customs
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • CSV
D & P 25-01 Value of Exports and Imports by Customs(TOKYO-OSAKA) (Jan-Oct:D & P)
File:Year & Month Total TOKYO HANEDA A.P NARITA NIIGATA NAOETSU KASHIWAZAKI , KOOCHI SUZAKI KOMATSUJIMA TOKUSHIMA OSAKA SAKAI KISHIWADA KANSAI MIYAZU KYOTO SHIGA MAIZURU FUSHIKI TOYAMA NANAO KANAZAWA KOMATSU TSURUGA FUKUI SHIMOTSU
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Nov.
  • Update date  2025-11-28
  • EXCEL
    Report
Statistical Tables 2 Retail Prices of Major Items for Ku-area of Tokyo [Nov [1101 Tuna fish] - [9183 Cut flowers]
File:A002-1 第2表 主要品目の東京都区部小売価格 Table 2. Retail Prices of Major Items for Ku-area Tokyo , Saury Sea bream Yellowtail Cuttlefish Octopus Prawns Short- Oysters Scallops , Pineapple flowers mackerel necked cabbage onions sprouts potatoes roots chinese yams soybeans beans peppers mushrooms
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-28
  • EXCEL
    Report
5 Indices of Items and Contribution to change of All Items Index for Japan and Ku-area of Tokyo Monthly
File:Broccoli もやし Bean sprouts アスパラガス Asparagus さつまいも Sweet potatoes じゃがいも さといも Taros だいこん Radishes にんじん Carrots , pasta 菓子類 Cakes candies ようかん “Yokan” sweet jelly まんじゅう , croquettes 冷凍調理ハンバーグ hamburg steak 冷凍ぎょうざ Frozen“Gyoza” 調理カレー 混ぜごはんのもと “Mazegohan no moto” materials assorted
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2025Nov.
  • Update date  2025-11-28
  • CSV DB
Ku-area of Tokyo 1 Indices of Items (January 1970 - the Recent Month)
File:onions Lettuce Broccoli Bean sprouts Asparagus Sweet potatoes Taros Radishes Carrots Burdocks Onions Lotus , “Wakame” seaweed tangle “Hijiki” edible brown algae Soybean “Tofu” bean , hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2025Nov.
  • Update date  2025-11-28
  • CSV DB
Ku-area of Tokyo 2 Indices of Items; Percentage change from the previous month (February 1970 -
File:onions Lettuce Broccoli Bean sprouts Asparagus Sweet potatoes Taros Radishes Carrots Burdocks Onions Lotus , “Wakame” seaweed tangle “Hijiki” edible brown algae Soybean “Tofu” bean , hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Ku-area of Tokyo / Monthly
  • Survey date  2025Nov.
  • Update date  2025-11-28
  • CSV DB
Ku-area of Tokyo 3 Indices of Items; Percentage change over the year (January 1971 - the Recent
File:onions Lettuce Broccoli Bean sprouts Asparagus Sweet potatoes Taros Radishes Carrots Burdocks Onions Lotus , “Wakame” seaweed tangle “Hijiki” edible brown algae Soybean “Tofu” bean , hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients
  • Report on Internal Migration in Japan
  • Report on Internal Migration in Japan / Monthly report
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • EXCEL
    Report
    DB
4 Number of Intra-prefectual migrants by Age (Five-Year Groups) and Sex for Japan and Prefectures (All nationalities)
File:Five-Year Groups and Sex for Japan Prefectures 2025年10月 October All nationalities 都道府県 都 道 府 県 内 移 動 者 数 総 Both , 54 55~59 60~64 65~69 70~74 75~79 80~84 85~89 90歳以上 Tokyo Area Nagoya Osaka Total years old over 全 国 北海道 , 福岡県 佐賀県 長崎県 熊本県 大分県 宮崎県 鹿児島県 沖縄県 総数には年齢不詳を含む。 The total includes age not reported.
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Nov.
  • Update date  2025-11-28
  • EXCEL
    Report
Statistical Tables 3 Nationwide Uniform Prices or Charges [Nov. 2025]
File:150kmまで JR,新幹線,東京~仙台,やまびこ JR "Shinkansen" "Yamabiko" Tokyo-Sendai JR,新幹線,東京~山形,つばさ "Tsubasa" Tokyo-Yamagata JR,新幹線,東京~秋田,こまち "Komachi" Tokyo-Akita JR,新幹線,東京~新潟,とき "Toki" Tokyo-Niigata JR,新幹線,東京~金沢,はくたか JR,新幹線,東京~名古屋,のぞみ "Nozomi" Tokyo-Nagoya JR,新幹線,新大阪~岡山,のぞみ JR,新幹線,博多~熊本,さくら "Sakura
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Oct.
  • Update date  2025-11-18
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-3 Fatalities of elderly persons (aged 65+) by prefecture
Description of Statistics:Traffic road statistics is official statistics that is based on the data reported from the prefectural police, which is targeted , and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File: Niigata Yamanashi Nagano Shizuoka Chubu Toyama Ishikawa Fukui Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane
  • Report on Internal Migration in Japan
  • Report on Internal Migration in Japan / Monthly report
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • EXCEL
    Report
    DB
3-2 Number of Out-migrants to Other Prefectures by Age (Five-Year Groups) and Sex for Japan and Prefectures, Tokyo Area, Nagoya Area and Osaka Area (All nationalities
File:5歳階級)、男女別他都道府県への 転出者数-全国、都道府県、3大都市圏(東京圏、名古屋圏、大阪圏) Table 3-2. Number of Out-migrants to Other Prefectures by Age Five-Year Groups and Sex for Japan Tokyo Area Nagoya Osaka 2025年10月 October All nationalities , 熊本県 大分県 宮崎県 鹿児島県 沖縄県 東京圏 名古屋圏 大阪圏 総数には年齢不詳を含む。 The total includes age not reported. 3大都市圏は、各大都市圏の境界を越えた
  • Report on Internal Migration in Japan
  • Report on Internal Migration in Japan / Monthly report
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • EXCEL
    Report
    DB
3-1 Number of In-migrants from Other Prefectures by Age (Five-Year Groups) and Sex for Japan and Prefectures, Tokyo Area, Nagoya Area and Osaka Area (All nationalities
File: by Age Five-Year Groups and Sex for Japan Tokyo Area Nagoya Osaka 2025年10月 October All nationalities , 54 55~59 60~64 65~69 70~74 75~79 80~84 85~89 90歳以上 Total years old over 全 国 北海道 青森県 岩手県 宮城県 秋田県 山形県 福島県 , 熊本県 大分県 宮崎県 鹿児島県 沖縄県 東京圏 名古屋圏 大阪圏 総数には年齢不詳を含む。 The total includes age not reported. 3大都市圏は、各大都市圏の境界を越えた
  • Report on Internal Migration in Japan
  • Report on Internal Migration in Japan / Monthly report
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • EXCEL
    Report
    DB
3-3 Five-Year Groups) and Sex for Japan and Prefectures, Tokyo Area, Nagoya Area and Osaka Area(All nationalities
File:Groups and Sex for Japan Prefectures Tokyo Area Nagoya Osaka 2025年10月 October All nationalities , 54 55~59 60~64 65~69 70~74 75~79 80~84 85~89 90歳以上 Total years old over 全 国 北海道 青森県 岩手県 宮城県 秋田県 山形県 福島県 , 熊本県 大分県 宮崎県 鹿児島県 沖縄県 東京圏 名古屋圏 大阪圏 総数には年齢不詳を含む。 The total includes age not reported. 3大都市圏は、各大都市圏の境界を越えた
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Oct.
  • Update date  2025-11-18
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-1 Road traffic accidents, fatalities and injuries by prefecture (monthly)
Description of Statistics:Traffic road statistics is official statistics that is based on the data reported from the prefectural police, which is targeted , and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File:-1.8Chubu Mie 2.2Chubu -3.3Kinki Shiga -5.7Kinki Kyoto -7.6Kinki Osaka 4.2Kinki Hyogo -9.1Kinki Nara - , Niigata Yamanashi Nagano Shizuoka Chubu Toyama Ishikawa Fukui Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Oct.
  • Update date  2025-11-18
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-2 Road traffic accidents, fatalities and injuries by prefecture (from the beginning of the year to the present month)
Description of Statistics:Traffic road statistics is official statistics that is based on the data reported from the prefectural police, which is targeted , and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File:0.6Chubu Mie -10.7Chubu -0.1Kinki Shiga 0.5Kinki Kyoto -5.9Kinki Osaka -0.5Kinki Hyogo -8.5Kinki Nara , Niigata Yamanashi Nagano Shizuoka Chubu Toyama Ishikawa Fukui Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
    DB
3 Subgroup Index for Selected Areas (City Groups,Districts and Cities with Prefectural Governments) Monthly
File: 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-area Tokyo 横浜市 Yokohama-shi 新潟市 Niigata-shi 富山市 Toyama-shi 金沢市 Kanazawa-shi 福井市 Fukui-shi , Nagano-shi 岐阜市 Gifu-shi 静岡市 Shizuoka-shi 名古屋市 Nagoya-shi 津市 Tsu-shi 大津市 Otsu-shi 京都市 Kyoto-shi 大阪市 Osaka-shi
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
    DB
3 Subgroup Index for Selected Areas (City Groups,Districts and Cities with Prefectural Governments) Annual Average
File: 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-area Tokyo 横浜市 Yokohama-shi 新潟市 Niigata-shi 富山市 Toyama-shi 金沢市 Kanazawa-shi 福井市 Fukui-shi , Nagano-shi 岐阜市 Gifu-shi 静岡市 Shizuoka-shi 名古屋市 Nagoya-shi 津市 Tsu-shi 大津市 Otsu-shi 京都市 Kyoto-shi 大阪市 Osaka-shi
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
    DB
3 Subgroup Index for Selected Areas (City Groups,Districts and Cities with Prefectural Governments) Fiscal Yearly Average
File: 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-area Tokyo 横浜市 Yokohama-shi 新潟市 Niigata-shi 富山市 Toyama-shi 金沢市 Kanazawa-shi 福井市 Fukui-shi , Nagano-shi 岐阜市 Gifu-shi 静岡市 Shizuoka-shi 名古屋市 Nagoya-shi 津市 Tsu-shi 大津市 Otsu-shi 京都市 Kyoto-shi 大阪市 Osaka-shi
  • Report on Internal Migration in Japan
  • Report on Internal Migration in Japan / Monthly report
  • Survey date  2025Oct.
  • Update date  2025-11-27
  • EXCEL
    Report
    DB
5 Number of Intra-prefectural Migrants, In-migrants from Other Prefectures and Out-migrants to Other Prefectures for Japan, Prefectures, Tokyo Area, Nagoya Area, Osaka Area and 21 Major Cities
File: In-migrants from Other Prefectures and Out-migrants to for Japan Tokyo Area Nagoya Osaka Major Cities 2025年10月 October All nationalities , Ku-boundaries within city areas outside in 21大都市計 Total 札幌市 仙台市 さいたま市 千葉市 東京都特別区部 横浜市 川崎市 相模原市 新潟市 静岡市
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
15 Indices of Items and Contribution to change of All Items Index Computed by Laspeyres' Monthly
File:Broccoli もやし Bean sprouts アスパラガス Asparagus さつまいも Sweet potatoes じゃがいも さといも Taros だいこん Radishes にんじん Carrots , pasta 菓子類 Cakes candies ようかん “Yokan” sweet jelly まんじゅう , croquettes 冷凍調理ハンバーグ hamburg steak 冷凍ぎょうざ Frozen“Gyoza” 調理カレー 混ぜごはんのもと “Mazegohan no moto” materials assorted
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
15 Indices of Items and Contribution to change of All Items Index Computed by Laspeyres' Annual Average
File:Broccoli もやし Bean sprouts アスパラガス Asparagus さつまいも Sweet potatoes じゃがいも さといも Taros だいこん Radishes にんじん Carrots , pasta 菓子類 Cakes candies ようかん “Yokan” sweet jelly まんじゅう , croquettes 冷凍調理ハンバーグ hamburg steak 冷凍ぎょうざ Frozen“Gyoza” 調理カレー 混ぜごはんのもと “Mazegohan no moto” materials assorted
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • EXCEL
    Report
5 Indices of Items and Contribution to change of All Items Index for Japan and Ku-area of Tokyo Annual Average
File:Broccoli もやし Bean sprouts アスパラガス Asparagus さつまいも Sweet potatoes じゃがいも さといも Taros だいこん Radishes にんじん Carrots , pasta 菓子類 Cakes candies ようかん “Yokan” sweet jelly まんじゅう , croquettes 冷凍調理ハンバーグ hamburg steak 冷凍ぎょうざ Frozen“Gyoza” 調理カレー 混ぜごはんのもと “Mazegohan no moto” materials assorted
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Monthly Report
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • 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:Broccoli もやし Bean sprouts アスパラガス Asparagus さつまいも Sweet potatoes じゃがいも さといも Taros だいこん Radishes にんじん Carrots , pasta 菓子類 Cakes candies ようかん “Yokan” sweet jelly まんじゅう , croquettes 冷凍調理ハンバーグ hamburg steak 冷凍ぎょうざ Frozen“Gyoza” 調理カレー 混ぜごはんのもと “Mazegohan no moto” materials assorted
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Japan / Monthly
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • CSV DB
Japan 1 Indices of Items (January 1970 - the Recent Month)
File:onions Lettuce Broccoli Bean sprouts Asparagus Sweet potatoes Taros Radishes Carrots Burdocks Onions Lotus , “Wakame” seaweed tangle “Hijiki” edible brown algae Soybean “Tofu” bean , hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Japan / Monthly
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • CSV DB
Japan 2 Indices of Items; Percentage change from the previous month (February 1970 -
File:onions Lettuce Broccoli Bean sprouts Asparagus Sweet potatoes Taros Radishes Carrots Burdocks Onions Lotus , “Wakame” seaweed tangle “Hijiki” edible brown algae Soybean “Tofu” bean , hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients
  • Consumer Price Index
  • 2020-Base Consumer Price Index / Time Series / Indices of Items / Japan / Monthly
  • Survey date  2025Oct.
  • Update date  2025-11-21
  • CSV DB
Japan 3 Indices of Items; Percentage change over the year (January 1971 - the Recent
File:onions Lettuce Broccoli Bean sprouts Asparagus Sweet potatoes Taros Radishes Carrots Burdocks Onions Lotus , “Wakame” seaweed tangle “Hijiki” edible brown algae Soybean “Tofu” bean , hamburg steak Frozen“Gyoza” “Mazegohan no moto” materials to assorted ingredients
  • Trade Statistics
  • Trade Statistics The trade general condition / Value of Exports and Imports by Customs
  • Survey date  2024Dec.
  • Update date  2025-11-13
  • CSV
Fixed 24-01 2024. Value of Exports and Imports by Customs(TOKYO-OSAKA) (Jan-Dec:Fixed)
File:Year & Month Total TOKYO HANEDA A.P NARITA NIIGATA NAOETSU KASHIWAZAKI SAKATA YOKOHAMA KAWASAKI YOKOSUKA CHIBA KISARAZU KASHIMA , KOMATSUJIMA OSAKA SAKAI KISHIWADA KANSAI MIYAZU KYOTO SHIGA MAIZURU FUSHIKI TOYAMA NANAO KANAZAWA KOMATSU
  • Retail price survey
  • Retail Price Survey (Trend Survey)
  • Survey date  2025Nov.
  • Update date  2025-11-28
  • EXCEL
    Report
Statistical Tables 2 Retail Prices of Major Items for Ku-area of Tokyo [Nov [8001 P.T.A. membership fees] - [9951 After-school childcare fees]
File:A002-5 第2表 主要品目の東京都区部小売価格 Table 2. Retail Prices of Major Items for Ku-area Tokyo , Athletic shoes Sweatpants Swimming Dolls Toy cars Building Computer games Game Video Horticul , Hair Electric dryer Tooth- Hand soap Facial wash Shampoo Toothpaste color
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-11-11
  • EXCEL
    Report
Household V-2 family type of household) by age (wife), labour force status, agri-/non-agriculture,status in employment, weeklytype of household, number of children and age of the youngest child
Description of Dataset category 1:Census conducted every five years.
Responding to the revision, in order to remove the gaps, data from , to comparable time-series data (the intercensal-level , other hand, figures on the databases from January 2018 File: work number children the youngest child July-Sept. Total Ten thousand Family , couple only their parent Age person persons or more to years old over whether wishing yearsold reason not , week which worked less than Unemployed ILO unemployed Not no prospect finding potential
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Summary (Main results for each period, Press release) / Detailed Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-11-11
  • EXCEL
2-4 Unemployed persons (ILO 2013) who left the previous job by
File:Table 2-4 Unemployed persons ILO who left the previous job by reason for leaving Both sexes Male Female Total Bankruptcy or close down , encouraged retirement Slump in business and uncertain future Retiring age term your employment agreement
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-11-11
  • EXCEL
    Report
    DB
Unemployed person (ILO 2013) III-3 to the head of household, kind of job sought, reasonreason 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:Census conducted every five years.
Responding to the revision, in order to remove the gaps, data from , to comparable time-series data (the intercensal-level , other hand, figures on the databases from January 2018 File:Detailed tabulation Table III-3 Unemployed person ILO , as primary or secondary activity July-Sept. Both sexes Ten thousand persons Duration Total Less than , office Personnel retrenchment encouraged Slump in uncertain future Retiring term your agreement ended To find
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-11-11
  • EXCEL
    Report
Household V-4 and over (one-person household) by labour force status, status in employment, type of employment, whetherreason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work, reason not to seek a job and age
Description of Dataset category 1:Census conducted every five years.
Responding to the revision, in order to remove the gaps, data from , to comparable time-series data (the intercensal-level , other hand, figures on the databases from January 2018 File:reason seeking a job leaving previous duration unemployment kind sought wishing to not seek age July-Sept. Ten thousand persons Sex Both sexes Male continued Female Labour Total when left , retrenchment encouraged retirement Slump business uncertain future Retiring term your agreement ended To find
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-11-11
  • EXCEL
    Report
Unemployed person (ILO 2013) III-12 Unemployed person (ILO 2013) with previous job by age, reason
Description of Dataset category 1:Census conducted every five years.
Responding to the revision, in order to remove the gaps, data from , to comparable time-series data (the intercensal-level , other hand, figures on the databases from January 2018 File:for seeking a leaving the and education July-Sept. Both sexes Ten thousand persons Reason Total Education , retrenchment encouraged retirement Slump in business uncertain future Retiring term your employment agreement , incl. graduate Graduate Age a0*30 Quitted involuntary Mandatory termination contract Circumstances employer
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Oct.
  • Update date  2025-11-18
  • EXCEL
    Report
Traffic accidents situation(year to October,2025)
Description of Statistics:Traffic road statistics is official statistics that is based on the data reported from the prefectural police, which is targeted , and preventing from traffic accidents with understanding the fatalities within 24 hours, injuries, and File: *** Tokyo Kanto Ibaraki Tochigi Gunma Saitama Chiba Kanagawa Niigata Yamanashi Nagano Shizuoka Chubu Toyama Ishikawa Fukui Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-11-11
  • 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
Description of Dataset category 1:Census conducted every five years.
Responding to the revision, in order to remove the gaps, data from , to comparable time-series data (the intercensal-level , other hand, figures on the databases from January 2018 File: age and duration a July-Sept. Both sexes Total Ten thousand persons When took present which Duration Less than month to months less Status a0*30 Employee employee excl. , retrenchment encouraged retirement Slump business uncertain future Retiring term your agreement ended To find
  • Labour Force Survey
  • Labour Force Survey (Public documents, Historical data) / Statistical table (Detailed results for each period) / Detailed Tabulation
  • Survey date  2025Jul.-Sep.
  • Update date  2025-11-11
  • EXCEL
    Report
    DB
Population of 15 years old and over I-1 the past year, reason for taking a non-regular employment, reason for seeking reason for leaving the previous job, duration of unemployment, kind of job sought, whether wishing to work,reason not to seek a job and age
Description of Dataset category 1:Census conducted every five years.
Responding to the revision, in order to remove the gaps, data from , to comparable time-series data (the intercensal-level , other hand, figures on the databases from January 2018 File:previous duration of unemployment kind sought whether wishing to not seek age July-Sept. Both sexes Total Ten thousand persons Age Labour or when , retrenchment encouraged retirement Slump in business uncertain future Retiring term your agreement ended To find
disp_toukeih
<< < 1 2 3 4 5 6 7 8 9 > >>
1/561Page
」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.
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