In 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.

This 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.

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

In 2023, 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.

A 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

Bangalore ranked first in the Ease of Living Survey conducted among more than 49 million cities across India in 2020. The southern metropolis, which was Karnataka's capital, also ranked first that year in economic abilities, and ranked 12 in the quality of life category.

Cities are in constant competition for residents, business and employees and inclusiveness is an important 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 evaluates a municipality on six categories with bonus points available:

1. Non-Discrimination Laws: This category evaluates whether discrimination on the basis of sexual orientation and gender identity is prohibited by city, county or state in areas of employment m housing and public accommodations.

2. 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.

3. 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.

4. Municipal Services: The section assesses the efforts of the city to ensure LGBTQ constituents are included in city services and programs.

5. 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.

6. 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/mei

This 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 Holmes

Contact E-Mail: wydale_holmes@tempe.gov

Data Source Type: Excel

Preparation Method:

Publish Frequency: Annually, October

Publish Method: Manual

Data Dictionary

In 2024, Bergamo was the most livable province in Italy, according to the annual study conducted by the newspaper Il Sole 24 Ore. Trento and Bolzano followed in the ranking. Among the top-15 provinces, only Ascoli Piceno and Siena are located in central Italy, while all others are in the north, confirming the deep north-south divide between these two areas of the country. As far as macro categories are concerned, Biella, located in Piedmont, recorded the best score in wealth and consumption, while Milan for business and employment. Ascoli Piceno was the best province in terms of security and justice, and Bolzano performed very well in demography and society. Lastly, for environment and services, Brescia ranked at the top, whereas citizens could enjoy at best their leisure and cultural activities in Trieste.

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

Abstract

This dataset is from the Gauteng City-Region Observatory which is a partnership between the University of Johannesburg, the University of the Witwatersrand, the Gauteng Provincial Government and several Gauteng municipalities. The GCRO has conducted previous Quality of Life Surveys in 2009 (Round 1), 2011 (Round 2), 2013-2014 (Round 3) and 2015-2016 (Round 4), and 2017-2018 (Round 5). Round 6 was conducted in 2020-2021 and is the latest round of the survey.

Geographic coverage

The survey covers the Gauteng province in South Africa.

Analysis unit

Households and individuals

Universe

The survey covers all adult residence in Gauteng province, South Africa.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

This statistic shows a list of the best cities to live in in Asia-Pacific countries as of 2018. In 2018, the Australian city Melbourne topped the ranking with 98.4 out of 100 possible points, followed by the Japanese megacity Osaka with 97.7 points.

Data for 333 cities and urban areas on 25 indicators across the six dimensions of the City Prosperity Index (CPI): Productivity, Infrastructure Development, Quality of life, Equity and Social Inclusion, Environmental Sustainability and Governance and Legislation.

Not many studies have documented climate and air quality changes of settlements at early stages of development. This is because high quality climate and air quality records are deficient for the periods of the early 18th century to mid 20th century when many U.S. cities were formed and grew. Dramatic landscape change induces substantial local climate change during the incipient stage of development. Rapid growth along the urban fringe in Phoenix, coupled with a fine-grained climate monitoring system, provide a unique opportunity to study the climate impacts of urban development as it unfolds. Generally, heat islands form, particularly at night, in proportion to city population size and morphological characteristics. Drier air is produced by replacement of the countryside's moist landscapes with dry, hot urbanized surfaces. Wind is increased due to turbulence induced by the built-up urban fabric and its morphology; although, depending on spatial densities of buildings on the land, wind may also decrease. Air quality conditions are worsened due to increased city emissions and surface disturbances. Depending on the diversity of microclimates in pre-existing rural landscapes and the land-use mosaic in cities, the introduction of settlements over time and space can increase or decrease the variety of microclimates within and near urban regions. These differences in microclimatic conditions can influence variations in health, ecological, architectural, economic, energy and water resources, and quality-of-life conditions in the city. Therefore, studying microclimatic conditions which change in the urban fringe over time and space is at the core of urban ecological goals as part of LTER aims. In analyzing Phoenix and Baltimore long-term rural/urban weather and climate stations, Brazel et al. (In progress) have discovered that long-term (i.e., 100 years) temperature changes do not correlate with populations changes in a linear manner, but rather in a third-order nonlinear response fashion. This nonlinear temporal change is consistent with the theories in boundary layer climatology that describe and explain the leading edge transition and energy balance theory. This pattern of urban vs. rural temperature response has been demonstrated in relation to spatial range of city sizes (using population data) for 305 rural vs. urban climate stations in the U.S. Our recent work on the two urban LTER sites has shown that a similar climate response pattern also occurs over time for climate stations that were initially located in rural locations have been overrun bu the urban fringe and subsequent urbanization (e.g., stations in Baltimore, Mesa, Phoenix, and Tempe). Lack of substantial numbers of weather and climate stations in cities has previously precluded small-scale analyses of geographic variations of urban climate, and the links to land-use change processes. With the advent of automated weather and climate station networks, remote-sensing technology, land-use history, and the focus on urban ecology, researchers can now analyze local climate responses as a function of the details of land-use change. Therefore, the basic research question of this study is: How does urban climate change over time and space at the place of maximum disturbance on the urban fringe? Hypotheses 1. Based on the leading edge theory of boundary layer climate change, largest changes should occur during the period of peak development of the land when land is being rapidly transformed from open desert and agriculture to residential, commercial, and industrial uses. 2. One would expect to observe, on average and on a temporal basis (several years), nonlinear temperature and humidity alterations across the station network at varying levels of urban development. 3. Based on past research on urban climate, one would expect to see in areas of the urban fringe, rapid changes in temperature (increases at night particularly), humidity (decreases in areas from agriculture to urban; increases from desert to urban), and wind speed (increases due to urban heating). 4. Changes of the surface climate on the urban fringe are expected to be altered as a function of various energy, moisture, and momentum control parameters, such as albedo, surface moisture, aerodynamic surface roughness, and thermal admittance. These parameters relate directly to population and land-use change (Lougeay et al. 1996).

Tempe’s roadways are an important means of transportation for residents, the workforce, students, and visitors. Tempe measures the quality and condition of its roadways using a Pavement Quality Index (PQI). This measure, rated from a low of 0 to a high of 100, is used by the City to plan for maintenance and repairs, and to allocate resources in the most efficient way possible.

This survey monitors wellbeing among residents of the City of Guelph, located in Ontario, Canada. The survey is a joint initiative of the Canadian Index of Wellbeing in partnership with the City of Guelph. The purpose of the survey is to better understand subjective perceptions of wellbeing of residents in the survey area. The primary objectives of this survey are to (a) gather data on the wellbeing of residents which could be monitored o ver time; and, (b) to provide information on specific aspects of wellbeing that could be used to inform policy issues and community action. The survey provides information based on eight domains of wellbeing, as identified by the Canadian Index of Wellbeing: Community Vitality, Democratic Engagement, Environment, Education, Healthy Populations, Leisure and Culture, Living Standards, and Time Use. The questionnaire collected additional information about socio-economic and household characteristics, and feelings of overall satisfaction with each domain of wellbeing. A total of N=1,390 residents completed the survey.

The City Prosperity Indices comprise six major components (Productivity, Infrastructure Development, Quality of Life, Equity and Social Inclusion, Environmental Sustainability, Urban Governance and Legislation) and each components has it own key ingredients and indicators which enable to calculate the city prosperity index of a city.

Quality of life related to health in children, by sex and Autonomous Community. Average and standard deviation. Population aged 8 to 15 years old. Autonomous Community.

Users can obtain descriptions, maps, profiles, and ranks of U.S. metropolitan areas pertaining to quality of life, diversity, and opportunities for racial and ethnic groups in the U.S. BackgroundThe Diversity Data project operates a website for users to explore how U.S. metropolitan areas perform on evidence-based social measures affecting quality of life, diversity and opportunity for racial and ethnic groups in the United States. These indicators capture a broad definition of quality of life and health, including opportunities for good schools, housing, jobs, wages, health and social services, and safe neighborhoods. This is a useful resource for people inter ested in advocating for policy and social change regarding neighborhood integration, residential mobility, anti-discrimination in housing, urban renewal, school quality and economic opportunities. The Diversity Data project is an ongoing project of the Harvard School of Public Health (Department of Society, Human Development and Health). User FunctionalityUsers can obtain a description, profile and rank of U.S. metropolitan areas and compare ranks across metropolitan areas. Users can also generate maps which demonstrate the distribution of these measures across the United States. Demographic information is available by race/ethnicity. Data NotesData are derived from multiple sources including: the U.S. Census Bureau; National Center for Health Statistics' Vital Statistics Natality Birth Data; Natio nal Center for Education Statistics; Union CPS Utilities Data CD; National Low Income Housing Coalition; Freddie Mac Conventional Mortgage Home Price Index; Neighborhood Change Database; Joint Center for Housing Studies of Harvard University; Federal Financial Institutions Examination Council Home Mortgage Disclosure Act (HMD); Dr. Russ Lopez, Boston University School of Public Health, Department of Environmental Health; HUD State of the Cities Data Systems; Agency for Healthcare Research and Quality; and Texas Transportation Institute. Years in which the data were collected are indicated with the measure. Information is available for metropolitan areas. The website does not indicate when the data are updated.

Abstract

The Gauteng City-Region Observatory (GCRO) was established in 2008 as a partnership between the University of Johannesburg (UJ), the University of the Witwatersrand (Wits) and the Gauteng Provincial Government (GPG), with municipalities in Gauteng also represented. The objective of the GCRO is to inform policy in various spheres of the Gauteng government with data on the quality of the lives of people who live in Guateng. The Quality of Life Survey IV was conducted in 2015 and 2016.

Geographic coverage

The Quality of Life Survey covers the whole of Gauteng and also areas with GCR 'footprints' in the four neighbouring provinces of Free State, North West, Limpopo and Mpumalanga. The lowest level of geographic aggregation of the data is municipality.

Analysis unit

Household and individual

Universe

The Gauteng City-Region Observatory's Quality of Life Survey covers all household residents of Gauteng and selected areas of the four neighbouring provinces of Free State, North West, Limpopo and Mpumalanga.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey instrument (questionnaire) which was used was provided by the GCRO. The instrument was similar to the questionnaire used for the initial Quality of Life survey, with new questions being added only where questions from the previous survey were removed. This was done with the intention of keeping the duration of the survey the same as the initial one. The survey instrument was a 20 page questionnaire, broken up into 12 sections. The bulk of the possible answers were pre-defined, such that most of the survey could be answered using a combination of tick-boxes or by writing down a number from a predefined set. There are therefore not many open-ended questions in the survey.

According 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.