8 datasets found
  1. Cost of Living

    • kaggle.com
    Updated Jan 14, 2020
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    Ste_ (2020). Cost of Living [Dataset]. https://www.kaggle.com/stephenofarrell/cost-of-living/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 14, 2020
    Dataset provided by
    Kaggle
    Authors
    Ste_
    Description

    This is a comparison of the cost of living in various cities, as gathered by popular site numbeo. All data belongs to them and has been shared with permission

    Currency is Euro

  2. Cost of Living Index 2022

    • kaggle.com
    Updated May 28, 2022
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    Ankan Hore (2022). Cost of Living Index 2022 [Dataset]. https://www.kaggle.com/datasets/ankanhore545/cost-of-living-index-2022
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 28, 2022
    Dataset provided by
    Kaggle
    Authors
    Ankan Hore
    Description

    Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods prices, including groceries, restaurants, transportation and utilities. Cost of Living Index does not include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo has estimated it is 20% more expensive than New York (excluding rent).

    Please refer further to: https://www.numbeo.com/cost-of-living/cpi_explained.jsp for motivation and methodology.

    All credits to https://www.numbeo.com .

    This dataset would surely help socio-economic researchers to analyse and get deeper insights regarding the life of people country-wise.

    Thanks to @andradaolteanu for the motivation! Upwards and onwards...

  3. A

    ‘Property Prices Index By City 2009 to 2021’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Property Prices Index By City 2009 to 2021’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-property-prices-index-by-city-2009-to-2021-048d/638a90ec/?iid=002-832&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Property Prices Index By City 2009 to 2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/jolenech/property-prices-index-by-city-2009-to-2021 on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    I wanted to see how affordable housing is across countries and wanted to compare the price of housing. But I could not find a properly documented and easily downloaded dataset hence I created one with the help of web-scraping with Python and Pandas.

    Content

    I spent a lot of time searching for a source for the information I wanted in order to compare affordability. I stumbled upon a great website which was exactly what I was looking for Numbeo The website has a lot of details like affordability index, prime to income ratio, price to rent ratios in and out of city centre and more!

    Now I had the data, I needed to download it. Since I couldn't get the raw form of the data, I did web scraping in order to get details in the table for 2009 to 2021 using a for loop to go through all links and create csv files for every year.

    What's in the dataset?

    Details of columns Note: There are a few null values in the 2009 dataset (mortgage and Affordability Index columns.

    Check out the code I used on Github.

    Acknowledgements

    I couldn't have gotten the data without Numbeo!

    Inspiration

    I was working on a project trying to see if Price of Housing in Singapore can be justified and wanted more data that's global instead of just from Singapore. Let me know if you have any questions!

    --- Original source retains full ownership of the source dataset ---

  4. w

    Resources of Global City Comparison Indicators

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    Updated Sep 26, 2015
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    London Datastore Archive (2015). Resources of Global City Comparison Indicators [Dataset]. https://data.wu.ac.at/schema/datahub_io/NWMyNzM0OTYtMDE3Yi00MDU2LWI4NjItYjI1NWRhN2UwZDlh
    Explore at:
    Dataset updated
    Sep 26, 2015
    Dataset provided by
    London Datastore Archive
    Description
  5. World cities average internet prices. 2010 - 2020

    • kaggle.com
    Updated Oct 24, 2021
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    city-api.io (2021). World cities average internet prices. 2010 - 2020 [Dataset]. https://www.kaggle.com/cityapiio/world-cities-average-internet-prices-2010-2020/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 24, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    city-api.io
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Average USD internet prices among 679 cities across the world. The 2010 - 2020 year data.

    This dataset is one of the public parts of City API project data. Need more? Try our full data

  6. Global Cost of Living

    • kaggle.com
    Updated Dec 3, 2022
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    Miguel Piedade (2022). Global Cost of Living [Dataset]. https://www.kaggle.com/datasets/mvieira101/global-cost-of-living/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 3, 2022
    Dataset provided by
    Kaggle
    Authors
    Miguel Piedade
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains information about the cost of living in almost 5000 cities across the world. The data were gathered by scraping Numbeo's website (https://www.numbeo.com).

    Data dictionary

    ColumnDescription
    cityName of the city
    countryName of the country
    x1Meal, Inexpensive Restaurant (USD)
    x2Meal for 2 People, Mid-range Restaurant, Three-course (USD)
    x3McMeal at McDonalds (or Equivalent Combo Meal) (USD)
    x4Domestic Beer (0.5 liter draught, in restaurants) (USD)
    x5Imported Beer (0.33 liter bottle, in restaurants) (USD)
    x6Cappuccino (regular, in restaurants) (USD)
    x7Coke/Pepsi (0.33 liter bottle, in restaurants) (USD)
    x8Water (0.33 liter bottle, in restaurants) (USD)
    x9Milk (regular), (1 liter) (USD)
    x10Loaf of Fresh White Bread (500g) (USD)
    x11Rice (white), (1kg) (USD)
    x12Eggs (regular) (12) (USD)
    x13Local Cheese (1kg) (USD)
    x14Chicken Fillets (1kg) (USD)
    x15Beef Round (1kg) (or Equivalent Back Leg Red Meat) (USD)
    x16Apples (1kg) (USD)
    x17Banana (1kg) (USD)
    x18Oranges (1kg) (USD)
    x19Tomato (1kg) (USD)
    x20Potato (1kg) (USD)
    x21Onion (1kg) (USD)
    x22Lettuce (1 head) (USD)
    x23Water (1.5 liter bottle, at the market) (USD)
    x24Bottle of Wine (Mid-Range, at the market) (USD)
    x25Domestic Beer (0.5 liter bottle, at the market) (USD)
    x26Imported Beer (0.33 liter bottle, at the market) (USD)
    x27Cigarettes 20 Pack (Marlboro) (USD)
    x28One-way Ticket (Local Transport) (USD)
    x29Monthly Pass (Regular Price) (USD)
    x30Taxi Start (Normal Tariff) (USD)
    x31Taxi 1km (Normal Tariff) (USD)
    x32Taxi 1hour Waiting (Normal Tariff) (USD)
    x33Gasoline (1 liter) (USD)
    x34Volkswagen Golf 1.4 90 KW Trendline (Or Equivalent New Car) (USD)
    x35Toyota Corolla Sedan 1.6l 97kW Comfort (Or Equivalent New Car) (USD)
    x36Basic (Electricity, Heating, Cooling, Water, Garbage) for 85m2 Apartment (USD)
    x371 min. of Prepaid Mobile Tariff Local (No Discounts or Plans) (USD)
    x38Internet (60 Mbps or More, Unlimited Data, Cable/ADSL) (USD)
    x39Fitness Club, Monthly Fee for 1 Adult (USD)
    x40Tennis Court Rent (1 Hour on Weekend) (USD)
    x41Cinema, International Release, 1 Seat (USD)
    x42Preschool (or Kindergarten), Full Day, Private, Monthly for 1 Child (USD)
    x43International Primary School, Yearly for 1 Child (USD)
    x441 Pair of Jeans (Levis 501 Or Similar) (USD)
    x451 Summer Dress in a Chain Store (Zara, H&M, ...) (USD)
    x461 Pair of Nike Running Shoes (Mid-Range) (USD)
    x471 Pair of Men Leather Business Shoes (USD)
    x48Apartment (1 bedroom) in City Centre (USD)
    x49Apartment (1 bedroom) Outside of Centre (USD)
    x50Apartment (3 bedrooms) in City Centre (USD)
    x51Apartment (3 bedrooms) Outside of Centre (USD)
    x52Price per Square Meter to Buy Apartment in City Centre (USD)
    x53Price per Square Meter to Buy Apartment Outside of Centre (USD)
    x54Average Monthly Net Salary (After Tax) (USD)
    x55Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate
    data_quality0 if Numbeo considers that more contributors are needed to increase data quality, else 1
  7. e

    Risorse degli indicatori globali di confronto delle città

    • data.europa.eu
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    Greater London Authority, Risorse degli indicatori globali di confronto delle città [Dataset]. https://data.europa.eu/data/datasets/resources-of-global-city-comparison-indicators?locale=no
    Explore at:
    Dataset authored and provided by
    Greater London Authority
    Description
  8. Countries' quality of life index. 2020 year

    • kaggle.com
    Updated Oct 24, 2021
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    city-api.io (2021). Countries' quality of life index. 2020 year [Dataset]. https://www.kaggle.com/cityapiio/countries-quality-of-life-index-2020-year/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 24, 2021
    Dataset provided by
    Kaggle
    Authors
    city-api.io
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Data was initially taken from Numbeo as an aggregation of user voting.

    • Quality of Life Index varies from 0 (bad quality) to 190 (top good quality)

    This dataset is one of the public parts of City API project data. Need more? Try our full data

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Ste_ (2020). Cost of Living [Dataset]. https://www.kaggle.com/stephenofarrell/cost-of-living/metadata
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Cost of Living

Comparison of Cost of Living in Various Cities Around the World

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jan 14, 2020
Dataset provided by
Kaggle
Authors
Ste_
Description

This is a comparison of the cost of living in various cities, as gathered by popular site numbeo. All data belongs to them and has been shared with permission

Currency is Euro

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