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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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
Rank:
The global rank of the country based on its Quality of Life Index according to Year (1 = highest quality of life).
Country:
The name of the country.
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.
Purchasing Power Index:
Measures the relative purchasing power of the average consumer in a country compared to New York City (baseline = 100).
Safety Index:
Indicates the safety level of a country. A higher score suggests a safer environment.
Health Care Index:
Evaluates the quality and accessibility of healthcare in the country.
Cost of Living Index:
Measures the relative cost of living in a country compared to New York City (baseline = 100).
Property Price to Income Ratio:
Compares the affordability of real estate by dividing the average property price by the average income.
Traffic Commute Time Index:
Reflects the average time spent commuting due to traffic.
Pollution Index:
Rates the level of pollution in the country (air, water, etc.).
Climate Index:
Rates the favorability of the climate in the country (higher = more favorable).
Year:
Year when the metrics were extracted.
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.Relocation Decision Making:
Use the dataset to compare countries and identify destinations with high quality of life, safety, and healthcare.
Global Analysis:
Perform exploratory data analysis (EDA) to identify trends and correlations across quality of life metrics.
Visualization:
Plot global maps, bar charts, or other visualizations to better understand the data.
Predictive Modeling:
Use this dataset as a base for machine learning tasks, like predicting Quality of Life Index based on other metrics.
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TwitterThe city with the lowest quality of life is Harare. Harare leads the ranking with a value of ****.
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TwitterGeopolitical and economic shocks are destabilising living conditions globally. As instability intensifies, liveability scores for traditionally attractive cities are declining, while those for emerging cities are improving in education and infrastructure.
EIU’s Liveability Index ranks cities based on more than 30 indicators across five categories: stability, healthcare, culture and environment, education and infrastructure.
Each indicator is rated as acceptable, tolerable, uncomfortable, undesirable or intolerable. The ratings are then weighted to provide a score from 1 to 100.
The liveability rating of a city is given both as an overall score and as a score for each category. An overall position in the ranking of 173 cities is also provided.
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TwitterTitle: Top Cities Worldwide: Quality of Life Index 2024 Subtitle: Ranking the World's Best Cities for Living Based on Key Metrics
Source of Data: The dataset was collected from Numbeo.com, a publicly accessible database that provides data on various quality-of-life indicators across cities worldwide. Numbeo aggregates user-contributed data validated through statistical methods to ensure reliability.
Data Collection Method: Data was acquired through web scraping. Care was taken to follow ethical web scraping practices, adhering to Numbeo’s terms of service and respecting their robots.txt file.
Columns Description:
The dataset includes the following columns:
Limitations and Considerations:
Usage Note: The dataset is intended for research and analytical purposes. Users should verify the data's applicability for their specific use cases, considering the limitations mentioned above.
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TwitterIn 2023, the highest levels of quality of life in Denmark was found in small towns with **************** inhabitants. Quality of life levels in Denmark decreased from 2018 to 2023, which must be seen in relation with the COVID-19 pandemic and the rising inflation rates.
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TwitterLive city rankings with ignore politics political preference weighting applied. Showing 1-50 of 386 cities.
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TwitterIn 2025, Luxembourg reached the highest score in the quality of life index in Europe, with 220 points. In second place, The Netherlands registered 211 points. On the opposite side of the spectrum, Albania and Ukraine registered the lowest quality of life across Europe with 104 and 115 points respectively. The Quality of Life Index (where a higher score indicates a higher quality of life) is an estimation of overall quality of life, calculated using an empirical formula. This formula considers various factors, including the purchasing power index, pollution index, house price-to-income ratio, cost of living index, safety index, health care index, traffic commute time index, and climate index.
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TwitterOfficial ranking of 173 global cities based on stability, healthcare, culture, education, and infrastructure by the Economist Intelligence Unit
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TwitterMovehub city ranking as published on http://www.movehub.com/city-rankings
Cities ranked by
Movehub Rating: A combination of all scores for an overall rating for a city or country.
Purchase Power: This compares the average cost of living with the average local wage.
Health Care: Compiled from how citizens feel about their access to healthcare, and its quality.
Pollution: Low is good. A score of how polluted people find a city, includes air, water and noise pollution.
Quality of Life: A balance of healthcare, pollution, purchase power, crime rate to give an overall quality of life score.
Crime Rating: Low is good. The lower the score the safer people feel in this city.
Unit: GBP
City
Cappuccino
Cinema
Wine
Gasoline
Avg Rent
Avg Disposable Income
Cities to countries as parsed from Wikipedia https://en.wikipedia.org/wiki/List_of_towns_and_cities_with_100,000_or_more_inhabitants/cityname:_A (A-Z)
http://www.movehub.com/city-rankings
https://en.wikipedia.org/wiki/List_of_towns_and_cities_with_100,000_or_more_inhabitants/cityname:_A
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TwitterThis dataset provides a detailed view of quality-of-life metrics for various countries, sourced from Numbeo. It includes indicators such as purchasing power, safety, health care, climate, cost of living, property prices, traffic, pollution, and overall quality of life. The data combines both numerical scores and descriptive categories to give a comprehensive understanding of these metrics.
The dataset includes the following columns:
The data from Numbeo, a global database providing cost of living, housing indicators, health care, traffic, crime, and pollution statistics for cities and countries.
This dataset can be used for: - Comparative analysis of quality-of-life indicators across countries. - Data visualization and storytelling for social, economic, or environmental trends. - Statistical modeling or machine learning projects on global living conditions.
The data was collected from Numbeo, which aggregates user-contributed data from individuals worldwide. Proper citation and credit to Numbeo are appreciated when using this dataset.
This data provided under Free Data Usage License by number. """
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TwitterIn 2024, Paris was the most livable city worldwide according to the Global Power City Index (GCPI), with ******points. Furthermore, Madrid was the second most livable city with ******points, while Tokyo was the third with ******points. The criteria taken into consideration include, among others, costs and ease of living, number of retail shops and restaurants, and availability of medical services.
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TwitterA list of some key resources for comparing London with other world cities. European Union/Eurostat, Urban Audit Arcadis, Sustainable cities index AT Kearney, Global Cities Index McKinsey, Urban world: Mapping the economic power of cities Knight Frank, Wealth report OECD, Better Life Index UNODC, Statistics on drugs, crime and criminal justice at the international level Economist, Hot Spots Economist, Global Liveability Ranking and Report August 2014 Mercer, Quality of Living Reports PWC, Cities of opportunity BCG, Decoding Global Talent Forbes, World's most influential cities Mastercard, Global Destination Cities Index Numbeo, Database of user contributed data
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TwitterThis dataset was created by Alexander Avduevsky
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TwitterThis statistic shows a list of the best cities to live in around the world as of 2019. The rating is based on five indicators: stability, healthcare, culture and environment, education, and infrastructure. In 2019, the Austrian capital Vienna topped the ranking with **** out of 100 possible points.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Men’s municipality index Life quality is a balance of all the themes that measure quality of life. Detailed indicators are normalised so that all municipal values are placed on a scale from 0 to 100 where 0 is the worst and 100 is best (for some indicators, inverted scale is used). In the next step, the standardised indicator values are weighed together into indices at aspect level. This is done with averages, all indicators weighed together with the same weight in each aspect. The values are also at this level in the range 0 to 100. Then the index at aspect level is weighed together to the thematic level according to the same principle and these values also fall between 0 and 100. Finally, the value of all themes is weighed together according to the same principle, with the same weight, into an overall quality of life index. Men’s municipality index Life quality is a balance of all the themes that measure quality of life. Detailed indicators are normalised so that all municipal values are placed on a scale from 0 to 100 where 0 is the worst and 100 is best (for some indicators, inverted scale is used). In the next step, the standardised indicator values are weighed together into indices at aspect level. This is done with averages, all indicators weighed together with the same weight in each aspect. The values are also at this level in the range 0 to 100. Then the index at aspect level is weighed together to the thematic level according to the same principle and these values also fall between 0 and 100. Finally, the value of all themes is weighed together according to the same principle, with the same weight, into an overall quality of life index.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Data was initially taken from Numbeo as an aggregation of user voting.
This dataset is one of the public parts of City API project data. Need more? Try our full data
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TwitterAccording to a report on Chinese cities from 2024 that provided a ranking of their cultural vitality and quality of life, Shanghai led the list with a total composite score of ***. Beijing and Hangzhou came in second and third. The overall city ranking, which comprised ten subsets, was headed by China's capital Beijing.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Cities are in constant competition for residents, businesses, and employees, and inclusiveness is a crucial factor that attracts all three. The Municipal Equality Index (MEI) specifically measures laws and policies of municipalities to examine how inclusive cities are of LGBTQ (Lesbian, Gay, Bisexual, Transgender, and Questioning) people.Administered by the Human Rights Campaign, the MEI scorecard criteria annually evaluate a municipality on six categories, with bonus points available: Non-Discrimination Laws: This category evaluates whether discrimination based on sexual orientation and gender identity is prohibited by city, county, or state in areas of employment m housing, and public accommodations.Relationship Recognition: Marriage, civil unions, and comprehensive domestic partnerships are matters of state policy; cities and counties have only the power to create domestic partner registries.Municipality as Employer: By offering equivalent benefits and protections to LGBTQ employees, and by awarding contracts to fair-minded businesses, municipalities commit themselves to treating LGBTQ employees equally.Municipal Services: The section assesses the efforts of the city to ensure LGBTQ constituents are included in city services and programs.Law Enforcement: Fair enforcement of the law includes responsible reporting of hate crimes and engaging with the LGBTQ community in a thoughtful and respectful way.Relationship with the LGBTQ Community: This category measures the city leadership’s commitment to fully include the LGBTQ community and to advocate for full equality. Additional information available at hrc.org/meiThis page provides data for the Municipality Equality Index performance measure. The performance measure dashboard is available at 3.12 Municipal Equality Index. Additional Information Source: Contact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: ExcelPreparation Method: Publish Frequency: Annually, OctoberPublish Method: ManualData Dictionary
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The social environment represents the external conditions under which people engage in social activity within their community. It includes aspects of social opportunity, leisure and recreation, education, access to health services, health status and participation in democratic processes. This map shows the quality of the social environment: the environment in which people engage in social activities, within their community, that contribute to quality of life, including the health status data for a reduced number of communities in the index.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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
Rank:
The global rank of the country based on its Quality of Life Index according to Year (1 = highest quality of life).
Country:
The name of the country.
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.
Purchasing Power Index:
Measures the relative purchasing power of the average consumer in a country compared to New York City (baseline = 100).
Safety Index:
Indicates the safety level of a country. A higher score suggests a safer environment.
Health Care Index:
Evaluates the quality and accessibility of healthcare in the country.
Cost of Living Index:
Measures the relative cost of living in a country compared to New York City (baseline = 100).
Property Price to Income Ratio:
Compares the affordability of real estate by dividing the average property price by the average income.
Traffic Commute Time Index:
Reflects the average time spent commuting due to traffic.
Pollution Index:
Rates the level of pollution in the country (air, water, etc.).
Climate Index:
Rates the favorability of the climate in the country (higher = more favorable).
Year:
Year when the metrics were extracted.
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.Relocation Decision Making:
Use the dataset to compare countries and identify destinations with high quality of life, safety, and healthcare.
Global Analysis:
Perform exploratory data analysis (EDA) to identify trends and correlations across quality of life metrics.
Visualization:
Plot global maps, bar charts, or other visualizations to better understand the data.
Predictive Modeling:
Use this dataset as a base for machine learning tasks, like predicting Quality of Life Index based on other metrics.