100+ datasets found
  1. Comparison of Worldwide Cost of Living 2020

    • kaggle.com
    zip
    Updated Nov 3, 2021
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    serdar altan (2021). Comparison of Worldwide Cost of Living 2020 [Dataset]. https://www.kaggle.com/datasets/hserdaraltan/comparison-of-worldwide-cost-of-living-2020
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    zip(17638 bytes)Available download formats
    Dataset updated
    Nov 3, 2021
    Authors
    serdar altan
    License

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

    Description

    "Cost of living and purchasing power related to average income

    We adjusted the average cost of living inside the USA (based on 2021 and 2022) to an index of 100. All other countries are related to this index. Therefore with an index of e.g. 80, the usual expenses in another country are 20% less then in the United States.

    The monthly income (please do not confuse this with a wage or salary) is calculated from the gross national income per capita.

    The calculated purchasing power index is again based on a value of 100 for the United States. If it is higher, people can afford more based on the cost of living in relation to income. If it is lower, the population is less wealthy.

    The example of Switzerland: With a cost of living index of 142 all goods are on average about 42% more expensive than in the USA. But the average income in Switzerland of 7,550 USD is also 28% higher, which means that citizens can also afford more goods. Now you calculate the 42% higher costs against the 28% higher income. In the result, people in Switzerland can afford about 10 percent less than a US citizen."

    Source: https://www.worlddata.info/cost-of-living.php

  2. G

    Cost of living by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 22, 2021
    + more versions
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    Globalen LLC (2021). Cost of living by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    May 22, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2021 based on 165 countries was 79.81 index points. The highest value was in Bermuda: 212.7 index points and the lowest value was in Syria: 33.25 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  3. Price level index comparison 2022, by country

    • statista.com
    • abripper.com
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    Statista, Price level index comparison 2022, by country [Dataset]. https://www.statista.com/statistics/426431/price-level-index-comparison-imf-and-world-bank-by-country/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    As of 2022, Israel had the highest price level index among listed countries, amounting to 138, with 100 being the average of OECD countries. Switzerland and Iceland followed on the places behind. On the other hand, Turkey and India had the lowest price levels compared to the OECD average. This price index shows differences in price levels in different countries. Another very popular index indicating the value of money is the Big Mac index, showing how much a Big Mac costs in different countries. This list was also topped by Switzerland in 2023.

  4. n

    Cost of Living Comparison: EU Countries

    • n26.com
    Updated Feb 20, 2025
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    (2025). Cost of Living Comparison: EU Countries [Dataset]. https://n26.com/en-at/blog/tips-for-moving-to-another-country
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    Dataset updated
    Feb 20, 2025
    Description

    A table comparing the cost of living in various European Union countries, including expenses for rent, utilities, food, and transportation in major cities

  5. Cost of Living Index by Country

    • kaggle.com
    zip
    Updated Jul 19, 2024
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    myrios (2024). Cost of Living Index by Country [Dataset]. https://www.kaggle.com/datasets/myrios/cost-of-living-index-by-country-by-number-2024
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    zip(2897 bytes)Available download formats
    Dataset updated
    Jul 19, 2024
    Authors
    myrios
    Description

    Cost of Living Index by Country, 2024 Mid Year data Data scraped from Numbeo: www.numbeo.com/cost-of-living/rankings_by_country.jsp All credits to Numbeo: www.numbeo.com/cost-of-living/

    An index of 100 reflects the same living cost as in New York City, United States. As of 2024 Mid Year data, in NYC, A family of four estimated monthly costs are $6,074.40 without rent. A single person's estimated monthly costs are $1,640.90 without rent.

  6. Cost of living index in the U.S. 2024, by state

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

  7. G

    Cost of living in South America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 28, 2021
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    Globalen LLC (2021). Cost of living in South America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/South-America/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2021 based on 11 countries was 67.5 index points. The highest value was in Uruguay: 100.24 index points and the lowest value was in Suriname: 43.15 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  8. U.S. consumer price index: medical professional and hospital services...

    • statista.com
    Updated Mar 13, 2025
    + more versions
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    Statista Research Department (2025). U.S. consumer price index: medical professional and hospital services 1970-2025 [Dataset]. https://www.statista.com/topics/768/cost-of-living/
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    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2025, the Consumer Price Index (CPI) for medical professional services in the United States was at 432.46, compared to the period from 1982 to 1984 (=100). The CPI for hospital services was at 1,102.12.

  9. Quality of Life Index by Country 🌎🏡

    • kaggle.com
    zip
    Updated Mar 2, 2025
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    Marceloo (2025). Quality of Life Index by Country 🌎🏡 [Dataset]. https://www.kaggle.com/datasets/marcelobatalhah/quality-of-life-index-by-country
    Explore at:
    zip(33239 bytes)Available download formats
    Dataset updated
    Mar 2, 2025
    Authors
    Marceloo
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    About the Dataset

    This dataset contains Quality of Life indices for various countries around the globe, extracted from the Numbeo website. The data provides valuable metrics for comparing countries based on several aspects of living standards, which can assist in decisions such as choosing a place to live or analyzing global trends in quality of life.

    OBS: The code to generate this dataset is presented on: https://www.kaggle.com/code/marcelobatalhah/web-scrapping-quality-of-life-index

    Columns in the Dataset

    1. Rank:
      The global rank of the country based on its Quality of Life Index according to Year (1 = highest quality of life).

    2. Country:
      The name of the country.

    3. Quality of Life Index:
      A composite index that evaluates the overall quality of life in a country by combining other indices, such as Safety, Purchasing Power, and Health Care.

    4. Purchasing Power Index:
      Measures the relative purchasing power of the average consumer in a country compared to New York City (baseline = 100).

    5. Safety Index:
      Indicates the safety level of a country. A higher score suggests a safer environment.

    6. Health Care Index:
      Evaluates the quality and accessibility of healthcare in the country.

    7. Cost of Living Index:
      Measures the relative cost of living in a country compared to New York City (baseline = 100).

    8. Property Price to Income Ratio:
      Compares the affordability of real estate by dividing the average property price by the average income.

    9. Traffic Commute Time Index:
      Reflects the average time spent commuting due to traffic.

    10. Pollution Index:
      Rates the level of pollution in the country (air, water, etc.).

    11. Climate Index:
      Rates the favorability of the climate in the country (higher = more favorable).

    12. Year:
      Year when the metrics were extracted.

    Key Insights from the Dataset

    • The Quality of Life Index aggregates multiple indicators, making it a useful single metric to compare countries.
    • Specific indices such as Safety Index or Health Care Index allow for focused analysis on areas like security or healthcare quality.
    • Cost of Living Index and Purchasing Power Index can help determine the affordability of living in each country.

    How the Data Was Collected

    • The dataset was built using web scraping techniques in Python.
    • The data was extracted from the "Quality of Life Rankings by Country" page on Numbeo.
    • Libraries used:
      • requests for retrieving webpage content.
      • BeautifulSoup for parsing the HTML and extracting relevant information.
      • pandas for organizing and storing the data in a structured format.

    Possible Applications

    1. Relocation Decision Making:
      Use the dataset to compare countries and identify destinations with high quality of life, safety, and healthcare.

    2. Global Analysis:
      Perform exploratory data analysis (EDA) to identify trends and correlations across quality of life metrics.

    3. Visualization:
      Plot global maps, bar charts, or other visualizations to better understand the data.

    4. Predictive Modeling:
      Use this dataset as a base for machine learning tasks, like predicting Quality of Life Index based on other metrics.

  10. Consumer Sentiment Index in the U.S. 2012-2025

    • statista.com
    Updated Mar 13, 2025
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    Statista Research Department (2025). Consumer Sentiment Index in the U.S. 2012-2025 [Dataset]. https://www.statista.com/topics/768/cost-of-living/
    Explore at:
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The Consumer Sentiment Index in the United States stood at 51 in November 2025. This reflected a drop of 2.6 point from the previous survey. Furthermore, this was its lowest level measured since June 2022. The index is normalized to a value of 100 in December 1964 and based on a monthly survey of consumers, conducted in the continental United States. It consists of about 50 core questions which cover consumers' assessments of their personal financial situation, their buying attitudes and overall economic conditions.

  11. a

    Location Affordability Index

    • hub.arcgis.com
    • hub-lincolninstitute.hub.arcgis.com
    • +6more
    Updated May 10, 2022
    + more versions
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    New Mexico Community Data Collaborative (2022). Location Affordability Index [Dataset]. https://hub.arcgis.com/maps/447a461f048845979f30a2478b9e65bb
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    Dataset updated
    May 10, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

    Title: Location Affordability Index - NMCDC Copy

    Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

    Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

    Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

    Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

    Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

    UID: 73

    Data Requested: Family income spent on basic need

    Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

    Date Acquired: Map copied on May 10, 2022

    Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

    Tags: PENDING

  12. G

    Cost of living in Asia | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 22, 2021
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    Globalen LLC (2021). Cost of living in Asia | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/Asia/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    May 22, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2021 based on 40 countries was 69.86 index points. The highest value was in Israel: 188.01 index points and the lowest value was in Syria: 33.25 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  13. g

    THE COST OF LIVING

    • global-relocate.com
    Updated Oct 29, 2024
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    Global Relocate (2024). THE COST OF LIVING [Dataset]. https://global-relocate.com/rankings/cost-of-living
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    Dataset updated
    Oct 29, 2024
    Dataset provided by
    Global Relocate
    Description

    The Cost of living rating evaluates how much ordinary living expenses cost in different countries, including food, housing, necessary goods, services, medical insurance and other aspects.

  14. Cost of living index in India 2025, by city

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Cost of living index in India 2025, by city [Dataset]. https://www.statista.com/statistics/1399330/india-cost-of-living-index-by-city/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    As of September 2025, Mumbai had the highest cost of living among other cities in the country, with an index value of ****. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of ****.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.

  15. Cost of Living Index by Cities

    • kaggle.com
    zip
    Updated Nov 14, 2018
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    Debd (2018). Cost of Living Index by Cities [Dataset]. https://www.kaggle.com/debdutta/cost-of-living-index-by-country
    Explore at:
    zip(15379 bytes)Available download formats
    Dataset updated
    Nov 14, 2018
    Authors
    Debd
    Description

    Cost of living indices are relative to New York City (NYC) which means that for New York City, each index should be 100. If another city has, for example, rent index of 120, it means that on an average in that city rents are 20% more expensive than in New York City. If a city has rent index of 70, that means on an average in that city rents are 30% less expensive than in New York City.

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

    Rent Index is an estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price of rents in that city is on an average 20% less than the price in New York.

    Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses weights of items in the "Markets" section for each city.

    Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC.

    Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent comparing to New York City.

    Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy on an average 60% less goods and services than New York City residents with an average salary.

  16. G

    Cost of living in Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 31, 2021
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    Globalen LLC (2021). Cost of living in Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/Africa/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    May 31, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2021 based on 50 countries was 57.94 index points. The highest value was in Zimbabwe: 90.09 index points and the lowest value was in Egypt: 37.46 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  17. Cost of living index score of megacities APAC 2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Cost of living index score of megacities APAC 2024 [Dataset]. https://www.statista.com/statistics/915112/asia-pacific-cost-of-living-index-in-megacities/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Asia-Pacific, Asia, APAC
    Description

    South Korea's capital Seoul had the highest cost of living among megacities in the Asia-Pacific region in 2024, with an index score of ****. Japan's capital Tokyo followed with a cost of living index score of ****. AffordabilityIn terms of housing affordability, Chinese megacity Shanghai had the highest rent index score in 2024. Affordability has become an issue in certain megacities across the Asia-Pacific region, with accommodation proving expensive. Next to Shanghai, Japanese capital Tokyo and South Korean capital Seoul boast some of the highest rent indices in the region. Increased opportunities in megacitiesAs the biggest region in the world, it is not surprising that the Asia-Pacific region is home to 28 megacities as of January 2024, with expectations that this number will dramatically increase by 2030. The growing number of megacities in the Asia-Pacific region can be attributed to raised levels of employment and living conditions. Cities such as Tokyo, Shanghai, and Beijing have become economic and industrial hubs. Subsequently, these cities have forged a reputation as being the in-trend places to live among the younger generations. This reputation has also pushed them to become enticing to tourists, with Tokyo displaying increased numbers of tourists throughout recent years, which in turn has created more job opportunities for inhabitants. As well as Tokyo, Shanghai has benefitted from the increased tourism, and has demonstrated an increasing population. A big factor in this population increase could be due to the migration of citizens to the city, seeking better employment possibilities.

  18. n

    Data from: Country Rankings

    • n26.com
    Updated Nov 6, 2023
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    (2023). Country Rankings [Dataset]. https://n26.com/en-de/liveability-index
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    Dataset updated
    Nov 6, 2023
    Description

    Table showing the country rankings based in the different metrics analysed

  19. G

    Cost of living in Europe | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 28, 2021
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    Globalen LLC (2021). Cost of living in Europe | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/Europe/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2021 based on 41 countries was 107.05 index points. The highest value was in Switzerland: 211.98 index points and the lowest value was in Belarus: 40.99 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  20. 3

    Data from: Global: GDP per capita

    • 360analytika.com
    csv
    Updated Jun 11, 2025
    + more versions
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    360 Analytika (2025). Global: GDP per capita [Dataset]. https://360analytika.com/worldwide-gdp-per-capita-by-countries/
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    csvAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    360 Analytika
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    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Gross domestic product (GDP) per capita is a crucial economic indicator that represents the average economic output per person in a given country or region. It is calculated by dividing the total GDP by the population size. This metric is often used to compare the economic performance of different countries and assess the relative prosperity of their citizens. Two commonly used versions of this indicator are GDP per capita at current prices and GDP per capita adjusted for purchasing power parity (PPP). GDP per capita at current prices reflects the total economic output of a country divided by its population, using the market prices of goods and services at the time of measurement. This metric provides a snapshot of the economic activity within a country without adjusting for inflation or differences in the cost of living across regions. Global GDP per capita at current prices (PPP) provides a measure of the average economic output per person, adjusted for the differences in the cost of living between countries. This adjustment allows for a more accurate comparison of living standards and economic productivity across different nations.

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serdar altan (2021). Comparison of Worldwide Cost of Living 2020 [Dataset]. https://www.kaggle.com/datasets/hserdaraltan/comparison-of-worldwide-cost-of-living-2020
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Comparison of Worldwide Cost of Living 2020

Cost of Living by Countries

Explore at:
zip(17638 bytes)Available download formats
Dataset updated
Nov 3, 2021
Authors
serdar altan
License

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

Description

"Cost of living and purchasing power related to average income

We adjusted the average cost of living inside the USA (based on 2021 and 2022) to an index of 100. All other countries are related to this index. Therefore with an index of e.g. 80, the usual expenses in another country are 20% less then in the United States.

The monthly income (please do not confuse this with a wage or salary) is calculated from the gross national income per capita.

The calculated purchasing power index is again based on a value of 100 for the United States. If it is higher, people can afford more based on the cost of living in relation to income. If it is lower, the population is less wealthy.

The example of Switzerland: With a cost of living index of 142 all goods are on average about 42% more expensive than in the USA. But the average income in Switzerland of 7,550 USD is also 28% higher, which means that citizens can also afford more goods. Now you calculate the 42% higher costs against the 28% higher income. In the result, people in Switzerland can afford about 10 percent less than a US citizen."

Source: https://www.worlddata.info/cost-of-living.php

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