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

List of datasets

Batch download
<< < 1 2 3 4 5 6 7 8 9 > >>
1/457Page
  • Statistics name
  • Dataset category0・Dataset category
  • Survey date
  • Update date
  • View / Download
  • Vital Statistics
  • Vital Statistics / Vital statistics of Japan / Final data / Summary
  • Survey date  2024
  • Update date  2025-09-16
  • CSV
Volume 2 2 Summary tables of vital statistics (number of cases), for 30 Wakayama
File:Vital statistics of Japan Volume Summary Table Wakayama tables vital number cases ,for urban/rural residence Description of Statistics:The Vital Statistics Survey takes into account all births, deaths, marriages, divorces , on this page. (Note) Symbols used in tables - Magnitude zero ... Data not available . Category not , figures indicated are rounded off. Thus, the total may not equal to the "total number". (Reference) *
  • 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 Wakayama-ken
File:Shi Ku Machi Mura : All nationalities 和  歌  山  県 Wakayama-ken     移動後の住所地 Destination 移動前の住所地 和 歌 山 市 部
  • 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
File:Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • 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)
File:Osaka -1.1Kinki Hyogo -7.7Kinki Nara 10.2Kinki Wakayama -2.5Chugoku Tottori -4.5Chugoku Shimane -13.6Chugoku , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • 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)
File: -4.1Kinki Osaka Hyogo -8.5Kinki Nara 8.1Kinki Wakayama 0.8Kinki -2.8Chugoku Tottori -9.9Chugoku Shimane , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Nov.
  • Update date  2025-12-16
  • EXCEL
    Report
Traffic accidents situation(year to November,2025)
File:Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • 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
File:Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • 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)
File: Osaka 4.2Kinki Hyogo -9.1Kinki Nara -8.4Kinki Wakayama 14.5Kinki -1.8Chugoku Tottori -31.5Chugoku Shimane , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • 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)
File: Osaka -0.5Kinki Hyogo -8.5Kinki Nara 7.9Kinki Wakayama 2.3Kinki -2.8Chugoku Tottori -10.3Chugoku Shimane , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • 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 30 Wakayama
File:Vital statistics of Japan Volume Summary Table Wakayama tables vital number cases ,for urban/rural residence Description of Statistics:The Vital Statistics Survey takes into account all births, deaths, marriages, divorces , on this page. (Note) Symbols used in tables - Magnitude zero ... Data not available . Category not , figures indicated are rounded off. Thus, the total may not equal to the "total number". (Reference) *
  • Survey on Time Use and Leisure Activities
  • 2006 Survey on Time Use and Leisure Activities / Questionnaire A / Results on Time Use / Results on Activities by Time of the Day
  • Survey date  2006
  • Update date  2007-09-28
  • EXCEL DB
1 Participation Rate in Activities by Day of the Week, Sex and Time of Day - Japan*, Prefectures*, 8 Major Metropolitan Areas, Non-Major Metropolitan Area DIDs Wakayama-ken
File:Metropolitan Areas Non-Major Area City Groups 和歌山県人口集中地区 Wakayama-ken DIDs 平日 Weekday 男女 行動の種類 標本数 10歳以上 推定人口 千人
  • Survey on Time Use and Leisure Activities
  • 2006 Survey on Time Use and Leisure Activities / Questionnaire A / Results on Time Use / Results on Activities by Time of the Day
  • Survey date  2006
  • Update date  2007-09-28
  • EXCEL DB
1 Participation Rate in Activities by Day of the Week, Sex and Time of Day - Japan*, Prefectures*, 8 Major Metropolitan Areas, Non-Major Metropolitan Area Non-DIDs Wakayama-ken
File: Areas Non-Major Area City Groups 和歌山県人口集中地区以外 Wakayama-ken Non-DIDs 平日 Weekday 男女 行動の種類 標本数 10歳以上 推定人口
  • Survey on Time Use and Leisure Activities
  • 2006 Survey on Time Use and Leisure Activities / Questionnaire A / Results on Time Use / Results on Activities by Time of the Day
  • Survey date  2006
  • Update date  2007-09-28
  • EXCEL DB
2 Participation Rate in Activities by Day of the Week, Sex and Time of Day (15 Years Old and Over) - Japan*, Prefectures*, 8 Major Metropolitan Areas, Non-Major Metropolitan Area DIDs Wakayama-ken
File:Metropolitan Areas Non-Major Area City Groups 和歌山県人口集中地区 Wakayama-ken DIDs 平日 Weekday 男女 行動の種類 標本数 推定人口 千人 行動者率
  • Survey on Time Use and Leisure Activities
  • 2006 Survey on Time Use and Leisure Activities / Questionnaire A / Results on Time Use / Results on Activities by Time of the Day
  • Survey date  2006
  • Update date  2007-09-28
  • EXCEL DB
2 Participation Rate in Activities by Day of the Week, Sex and Time of Day (15 Years Old and Over) - Japan*, Prefectures*, 8 Major Metropolitan Areas, Non-Major Metropolitan Area Non-DIDs Wakayama-ken
File: Areas Non-Major Area City Groups 和歌山県人口集中地区以外 Wakayama-ken Non-DIDs 平日 Weekday 男女 行動の種類 標本数 推定人口 千人 行動者率
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Oct.
  • Update date  2025-11-18
  • EXCEL
    Report
Traffic accidents situation(year to October,2025)
File:Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • 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(NAGOYA-OKINAWA CHIKU) (Jan-Oct:D & P)
File: KITAKYU SHIMONOSEKI HAGI UBE TOKUYAMA HOOFU HIRAO IWAKUNI , AIR PORT ABURATSU NAGASAKI SASEBO MIIKE MISUMI MINAMATA YATSUSHIRO KUMAMOTO , ABASHIRI MONBETSU CHITOSE ISHIKARI TOKACHII ASAHIKAWA AOMORI HACHINOHE MIYAKO KAMAISHI
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Sep.
  • Update date  2025-10-17
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-3 Fatalities of elderly persons (aged 65+) by prefecture
File:Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Sep.
  • Update date  2025-10-17
  • CSV EXCEL
    Report
4 Traffic accident occurrence by prefecture 4-1 Road traffic accidents, fatalities and injuries by prefecture (monthly)
File:Kyoto 5.0Kinki Osaka Hyogo -7.4Kinki Nara 1.3Kinki Wakayama 5.1Kinki -0.7Chugoku Tottori -13.2Chugoku Shimane , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • Statistics about Road Traffic
  • Traffic accidents situation
  • Survey date  2025Sep.
  • Update date  2025-10-17
  • 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)
File:Osaka -1.0Kinki Hyogo -8.5Kinki Nara 10.0Kinki Wakayama 0.8Kinki -3.0Chugoku Tottori -7.2Chugoku Shimane , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • 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:" Tokyo-Yamagata JR,新幹線,東京~秋田,こまち "Komachi" Tokyo-Akita JR,新幹線 , ~上野原 Chofu-Uenohara 大泉~三郷南 Oizumi-Misatominami 松河戸~桑名 Matsukawado-Kuwana 天理~堺 Tenri-Sakai 松原~宝塚 , line limited express A ~150km B "Hakutaka" Tokyo-Kanazawa Shinosaka-Okayama students'
  • 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. 2024 - Nov. 2025 [1001 Non-glutinous rice] - [2183 School lunch]
File:セルフサービス店) 1か年 Year and month 1袋・5kg 以外 "Shirasu- "Agekama- "Chikuwa" "Kamaboko" "Shiitake" 45g×3 "Konnyaku , Mixed Pasta Spice "Yokan" "Manju" "Kasutera" Cakes Cream puffs Roll cakes , Sushi Cooking "Takoyaki" "Kabayaki" Grilled Salad "Kimpira" Roast pork
  • Statistics about Road Traffic
  • Number_of_Traffic_accidents_from_September_21_to_September_30(called_Traffic_Safety_Campaign_in_Autumn)
  • Survey date  2025
  • Update date  2025-10-02
  • CSV EXCEL
    Report
2(6)prefecture 2-6 2(6)prefecture
File:Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi , Gifu Aichi Mie Kinki Shiga Kyoto Osaka Hyogo Nara Wakayama Chugoku Tottori Shimane Okayama Hiroshima Yamaguchi Description of Statistics:within 24 hours, injuries, and fatalities within 30 days in the cause of these accidents.
  • Housing and Land Survey
  • 2023 Housing and Land Survey / Summary Table
  • Survey date  2023Oct.
  • Update date  2025-09-30
  • EXCEL
    Report
Japan, Prefectures 1 Households and Household Members - Japan, Prefectures, 21 Major Cities and DIDs
File:Kyoto-fu 大阪府 Osaka-fu 兵庫県 Hyogo-ken 奈良県 Nara-ken 和歌山県 Wakayama-ken 鳥取県 Tottori-ken 島根県 Shimane-ken 岡山県 Okayama-ken , Kyoto-fu_DIDs Osaka-fu_DIDs Hyogo-ken_DIDs Nara-ken_DIDs Wakayama-ken_DIDs Tottori-ken_DIDs Shimane-ken_DIDs Okayama-ken_DIDs
  • 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: fish-paste patties “Chikuwa” baked bars “Kamaboko” steamed cakes processed bonito , Wakame” seaweed tangle “Hijiki” edible brown algae Soybean , balls like sandwiches Frozen cooked pizza Aseptic packaged “Kabayaki” broiled eels Salad Croquettes cutlets
  • 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 - the Recent Month)
File: fish-paste patties “Chikuwa” baked bars “Kamaboko” steamed cakes processed bonito , Wakame” seaweed tangle “Hijiki” edible brown algae Soybean , balls like sandwiches Frozen cooked pizza Aseptic packaged “Kabayaki” broiled eels Salad Croquettes cutlets
  • 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 Month)
File: fish-paste patties “Chikuwa” baked bars “Kamaboko” steamed cakes processed bonito , Wakame” seaweed tangle “Hijiki” edible brown algae Soybean , balls like sandwiches Frozen cooked pizza Aseptic packaged “Kabayaki” broiled eels Salad Croquettes cutlets
  • Family Income and Expenditure Survey
  • Family Income and Expenditure Survey / Savings and Liabilities / Two-or-more-person households / Detailed Tabulation
  • Survey date  2025Apr.-Jun.
  • Update date  2025-10-24
  • EXCEL EXCEL
    Report
Amounts of Savings and Liabilities Held per Household 8-1 For City Groups, Districts and Cities with Prefectural Governments Two-or-more-person Households, Workers' Households
File:Otsu-shi Kyoto-shi Osaka-shi Kobe-shi Nara-shi Wakayama-shi Tottori-shi Matsue-shi Okayama-shi Hiroshima-shi
disp_toukeih
<< < 1 2 3 4 5 6 7 8 9 > >>
1/457Page
」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