5 datasets found
  1. Population of top 800 major cities in the world

    • kaggle.com
    zip
    Updated Jul 7, 2024
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    Ibrar Hussain (2024). Population of top 800 major cities in the world [Dataset]. https://www.kaggle.com/datasets/dataanalyst001/population-top-800-major-cities-in-the-world-2024
    Explore at:
    zip(12130 bytes)Available download formats
    Dataset updated
    Jul 7, 2024
    Authors
    Ibrar Hussain
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    World
    Description

    The below dataset shows the top 800 biggest cities in the world and their populations in the year 2024. It also tells us which country and continent each city is in, and their rank based on population size. Here are the top ten cities:

    • Tokyo, Japan - in Asia, with 37,115,035 people.
    • Delhi, India - in Asia, with 33,807,403 people.
    • Shanghai, China - in Asia, with 29,867,918 people.
    • Dhaka, Bangladesh - in Asia, with 23,935,652 people.
    • Sao Paulo, Brazil - in South America, with 22,806,704 people.
    • Cairo, Egypt - in Africa, with 22,623,874 people.
    • Mexico City, Mexico - in North America, with 22,505,315 people.
    • Beijing, China - in Asia, with 22,189,082 people.
    • Mumbai, India - in Asia, with 21,673,149 people.
    • Osaka, Japan - in Asia, with 18,967,459 people.
  2. Japanese Housing Prices 2005 - 2024

    • kaggle.com
    zip
    Updated Jun 27, 2025
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    Brian McGloughlin (2025). Japanese Housing Prices 2005 - 2024 [Dataset]. https://www.kaggle.com/datasets/brianmcgloughlin/japanese-housing-prices-2005-2024/data
    Explore at:
    zip(19328395 bytes)Available download formats
    Dataset updated
    Jun 27, 2025
    Authors
    Brian McGloughlin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    Introduction

    The primary purpose for this dataset was to build a regression model to accurately predict housing prices in Japan.

    • Which features are the most important in predicting housing prices?
    • Can you think of other features that may be important that can be derived from this dataset?

    Supplementary Code and Notebooks

    An example notebook for regression analysis , the raw dataset and the cleaning scripts can be found at the following repo:

    https://github.com/bmcgloughlin71/Japanese_future_real_estate_prices/tree/main

    Housing Price Data Column Descriptions

    NameDescriptionNotes
    TypeA tag distinguishing whether real estate is land only or land with a buildingSince this data set is only focusing on building prices this tag is redundant but useful for filtering with the script referenced above
    PrefectureWhich of the 47 prefectures the property is located
    LocationWhich town, village or city within the prefecture the property is located
    TotalTransactionValueThe total transaction value of the propertyin yen (¥)
    AreaTotal area of the property (land included)in square meters (m²)
    FrontageLength of land at the forefront of the propertyin meters (m)
    TotalFloorAreaTotal area of the property footprintin square meters (m²)
    ConstructionYearYear of construction (not necessarily the year of transaction)
    BuildingCoverageRatioWhat percentage of the land is covered by the propertyin percentage points (%)
    FloorAreaRatioTotal floor area of all floors to land area ratioin percentage points (%). Somewhat counterintuitively this may be more than 100%
    QuarterWhich quarter of the year the property was sold1 = first quarter, 2 = second quarter etc.
    YearYear of purchase
    RegionCommercialAreaIn a commercial Area?Boolean
    RegionIndustrialAreaIn an industrial Area?Boolean
    RegionPotentialResidentialAreaIn a potential residential Area?Boolean
    RegionResidentialAreaIn a residential Area?Boolean
    MunicipalityCategoryIs the property in a village, town, city or prefecture capital city ?1 = village, 2 = town, 3 = city, 4 = capital city
    Region_ChubuIn Chubu?Boolean
    AverageTimeToStationAverage walking time to the nearest stationin minutes
    FloorAreaGreaterFLagIs the floor area greater than 2000 m² ?Boolean
    BeforeWarFlagWas the building built before the World War 2?Boolean
    frontage_greater_than_50Is the frontage length greater than 50 m?Boolean
    AreaGreaterFlagIs the total area greater than 2000 m² ?Boolean
    Region_ChugokuIn Chugoku?Boolean
    Region_HokkaidoIn Hokkaido?Boolean
    Region_KansaiIn Kansai?Boolean
    Region_KantoIn Kanto?Boolean
    Region_KyushuIn Kyushu?Boolean
    Region_ShikokuIn Shikoku?Boolean
    Region_TohokuIn Tohoku?Boolean
    City,Town,Ward,Village codePostcode
    MigrationNumber of people who moved to the property's locationBased on migration data from the year before the sale, or from 2008 if the sale occurred in 2009 or earlier

    Location Data Column Descriptions

    NameDescriptionNotes
    latitudegeographical latitudeIn degrees (decimal)
    longitudegeographical longitudeIn degrees (decimal)
    Distance_to_designated_cityDistance to nearest designated city in kilometersIncludes Tokyo
    Nearest_designated_cityThe nearest designated cityIncludes Tokyo
    Close_to_TokyoTrue if Tokyo is closer than any other designated cityBoolean
    Close_to_greater_Tokyo_areaTrue if the nearest designated city is in the greater Tokyo area, namely Yokohama, Kawasaki, Saitama, Chiba or SagamiharaBoolean
    Close_to_designated_city_flagTrue if area is within 5km of either Tokyo or any other designated cityBoolean

    Acknowledgments

    This data set is an extension but not quite identical to:

    https://www.kaggle.com/datasets/nishiodens/japan-real-estate-transaction-prices

  3. T

    Japan Unemployment Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 27, 2025
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    TRADING ECONOMICS (2025). Japan Unemployment Rate [Dataset]. https://tradingeconomics.com/japan/unemployment-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1953 - Oct 31, 2025
    Area covered
    Japan
    Description

    Unemployment Rate in Japan remained unchanged at 2.60 percent in October. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. T

    Japan Employment Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). Japan Employment Rate [Dataset]. https://tradingeconomics.com/japan/employment-rate
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 31, 1972 - Sep 30, 2025
    Area covered
    Japan
    Description

    Employment Rate in Japan increased to 62.50 percent in September from 62.30 percent in August of 2025. This dataset provides - Japan Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. T

    Japan Residential Property Price Index

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 9, 2024
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    TRADING ECONOMICS (2024). Japan Residential Property Price Index [Dataset]. https://tradingeconomics.com/japan/housing-index
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Oct 9, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 30, 1993 - Sep 30, 2025
    Area covered
    Japan
    Description

    Housing Index in Japan increased to 140.54 points in September from 137.89 points in August of 2025. This dataset provides - Japan Construction Starts - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Share
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Click to copy link
Link copied
Close
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Ibrar Hussain (2024). Population of top 800 major cities in the world [Dataset]. https://www.kaggle.com/datasets/dataanalyst001/population-top-800-major-cities-in-the-world-2024
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Population of top 800 major cities in the world

Population of top 800 major cities in the world by 2024

Explore at:
zip(12130 bytes)Available download formats
Dataset updated
Jul 7, 2024
Authors
Ibrar Hussain
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Area covered
World
Description

The below dataset shows the top 800 biggest cities in the world and their populations in the year 2024. It also tells us which country and continent each city is in, and their rank based on population size. Here are the top ten cities:

  • Tokyo, Japan - in Asia, with 37,115,035 people.
  • Delhi, India - in Asia, with 33,807,403 people.
  • Shanghai, China - in Asia, with 29,867,918 people.
  • Dhaka, Bangladesh - in Asia, with 23,935,652 people.
  • Sao Paulo, Brazil - in South America, with 22,806,704 people.
  • Cairo, Egypt - in Africa, with 22,623,874 people.
  • Mexico City, Mexico - in North America, with 22,505,315 people.
  • Beijing, China - in Asia, with 22,189,082 people.
  • Mumbai, India - in Asia, with 21,673,149 people.
  • Osaka, Japan - in Asia, with 18,967,459 people.
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