The statistic shows the GDP per capita and employment growth rate for the 300 largest metropolitan economies worldwide in 2012, by region and development status. The GDP per capita growth rate of metropolitan areas in the developing Asia-Pacific region stood at 5.1 percent for the period between 2011 and 2012.

The statistic shows the growth rate for per capita GDP for the largest megacities worldwide between 2014 and 2016. During these years, per capita GDP grew by 6.9 percent in Mumbai, India.

This dataset provides statistics on gross domestic product and gross domestic product per capita, for large regions (TL2) and small regions (TL3).

Data source and definition

Regional gross domestic product data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures (link). Regional GDP per capita is calculated by dividing the regional GDP by the average annual population of the region.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Use of economic data on small regions

When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions (xlsx) and the EU methodology (link).

Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

• The interactive web-tool OECD Regions and Cities Statistical Atlas
• The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

GDP per Capita: Metropolitan Region of São Paulo: Previous Year Price data was reported at 81,161.203 BRL in 2024. This records an increase from the previous number of 75,307.403 BRL for 2023. GDP per Capita: Metropolitan Region of São Paulo: Previous Year Price data is updated yearly, averaging 45,337.741 BRL from Dec 2003 (Median) to 2024, with 22 observations. The data reached an all-time high of 81,161.203 BRL in 2024 and a record low of 15,640.787 BRL in 2003. GDP per Capita: Metropolitan Region of São Paulo: Previous Year Price data remains active status in CEIC and is reported by State System of Data Analysis Foundation. The data is categorized under Brazil Premium Database’s National Accounts – Table BR.AG022: SNA 2008: Gross Domestic Product per Capita: Southeast: São Paulo.

Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2023, at 90,730 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 39,102 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 214,000 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

This layer contains Gross Domestic Product (GDP) Per Capita - the total value of goods produced and services provided, divided by the total population in each country, from 1960 to 2016, expressed in 2016 US Dollars. Expressing the GDP in "per capita" terms allows for better comparisons across countries. Total GDP is available in an accompanying layer. GDP as a measure has been largely criticized as an incomplete measure of productivity and wealth, as it does not take into account production in the informal economy, quality of life, degradation to the environment, or income distribution. However, GDP is an internationally comparable measure, used in everything from banks setting interest rates to political campaign speeches.Source: World Bank, World Development Indicators.

19 of the 20 countries with the lowest estimated GDP per capita in the world in 2024 are located in Sub-Saharan Africa. South Sudan is believed to have a GDP per capita of just 351.02 U.S. dollars - for reference, Luxembourg has the highest GDP per capita in the world, at almost 130,000 U.S. dollars, which is around 400 times larger than that of Burundi (U.S. GDP per capita is over 250 times higher than Burundi's). Poverty in Sub-Saharan Africa Many parts of Sub-Saharan Africa have been among the most impoverished in the world for over a century, due to lacking nutritional and sanitation infrastructures, persistent conflict, and political instability. These issues are also being exacerbated by climate change, where African nations are some of the most vulnerable in the world, as well as the population boom that will place over the 21st century. Of course, the entire population of Sub-Saharan Africa does not live in poverty, and countries in the southern part of the continent, as well as oil-producing states around the Gulf of Guinea, do have some pockets of significant wealth (especially in urban areas). However, while GDP per capita may be higher in these countries, wealth distribution is often very skewed, and GDP per capita figures are not representative of average living standards across the population. Outside of Africa Yemen is the only country outside of Africa to feature on the list, due to decades of civil war and instability. Yemen lags very far behind some of its neighboring Arab states, some of whom rank among the richest in the world due to their much larger energy sectors. Additionally, the IMF does not make estimates for Afghanistan, which would also likely feature on this list.

GDP per Capita: Metropolitan Region of São Paulo: Current Price data was reported at 84,562.969 BRL in 2024. This records an increase from the previous number of 78,102.846 BRL for 2023. GDP per Capita: Metropolitan Region of São Paulo: Current Price data is updated yearly, averaging 47,377.104 BRL from Dec 2002 (Median) to 2024, with 23 observations. The data reached an all-time high of 84,562.969 BRL in 2024 and a record low of 16,022.710 BRL in 2002. GDP per Capita: Metropolitan Region of São Paulo: Current Price data remains active status in CEIC and is reported by State System of Data Analysis Foundation. The data is categorized under Brazil Premium Database’s National Accounts – Table BR.AG022: SNA 2008: Gross Domestic Product per Capita: Southeast: São Paulo.

GDP per Capita: Metropolitan Region of São Paulo: Growth Rate data was reported at 3.916 % in 2024. This records an increase from the previous number of 1.653 % for 2023. GDP per Capita: Metropolitan Region of São Paulo: Growth Rate data is updated yearly, averaging 1.284 % from Dec 2003 (Median) to 2024, with 22 observations. The data reached an all-time high of 6.952 % in 2021 and a record low of -6.032 % in 2015. GDP per Capita: Metropolitan Region of São Paulo: Growth Rate data remains active status in CEIC and is reported by State System of Data Analysis Foundation. The data is categorized under Brazil Premium Database’s National Accounts – Table BR.AG022: SNA 2008: Gross Domestic Product per Capita: Southeast: São Paulo.

A range of indicators for a selection of cities from the New York City Global City database.

Dataset includes the following:

Geography

City Area (km2)

Metro Area (km2)

People

City Population (millions)

Metro Population (millions)

Foreign Born

Annual Population Growth

Economy

GDP Per Capita (thousands $, PPP rates, per resident)

Primary Industry

Secondary Industry

Share of Global 500 Companies (%)

Unemployment Rate

Poverty Rate

Transportation

Public Transportation

Mass Transit Commuters

Major Airports

Major Ports

Education

Students Enrolled in Higher Education

Percent of Population with Higher Education (%)

Higher Education Institutions

Tourism

Total Tourists Annually (millions)

Foreign Tourists Annually (millions)

Domestic Tourists Annually (millions)

Annual Tourism Revenue ($US billions)

Hotel Rooms (thousands)

Health

Infant Mortality (Deaths per 1,000 Births)

Life Expectancy in Years (Male)

Life Expectancy in Years (Female)

Physicians per 100,000 People

Number of Hospitals

Anti-Smoking Legislation

Culture

Number of Museums

Number of Cultural and Arts Organizations

Environment

Green Spaces (km2)

Air Quality

Laws or Regulations to Improve Energy Efficiency

Retrofitted City Vehicle Fleet

Bike Share Program

Philippines GDP per Capita: 2000p: Metro Manila data was reported at 244,453.000 PHP in 2017. This records an increase from the previous number of 232,739.000 PHP for 2016. Philippines GDP per Capita: 2000p: Metro Manila data is updated yearly, averaging 195,013.000 PHP from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 244,453.000 PHP in 2017 and a record low of 162,321.000 PHP in 2009. Philippines GDP per Capita: 2000p: Metro Manila data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A022: SNA 2008: Gross Domestic Product: per Capita: by Region: 2000 Price.

In 2023, the real GDP of the Los Angeles metro area amount to around 1.08 trillion U.S. dollars, and increase after 2021. The overall quarterly GDP growth in the United States can be found here. Gross domestic product of Los AngelesWith a population of over 12.8 million inhabitants in 2023, Los Angeles is the second-largest city in America, following only New York. The Los Angeles metro area also ranked second among U.S. metro areas in terms of gross metropolitan product, second again only to New York City metro area, which came in with a GMP of 1.99 trillion U.S. dollars to Los Angeles’ 1.13 trillion U.S. dollars in the fiscal year of 2021. Chicago metro area ranked third with GMP of 757.2 billion U.S. dollars. Additional detailed statistics about GDP in the United States is available here. Despite Los Angeles’ high GDP, L.A. did not do as well as some cities in terms of median household income. Los Angeles ranked 9th with a median household income of 76,135 U.S. dollars annually in 2022. This was slightly higher than the median household income of the United States in 2022, which came in at 74,580 U.S. dollars annually. Located in Southern California, Los Angeles is home to Hollywood, the famous epicenter of the U.S. film and television industries. The United States is one of the leading film markets worldwide, producing 449 films in 2022, many of them produced by Hollywood-based studios. In 2018, movie ticket sales in North America generated over 11.89 billion U.S. dollars in box office revenue. Famous Hollywood actresses earn millions annually, with the best paid, Sofia Vergara, earning 43 million U.S. dollars in 2020. Second on the list was Angelina Jolie with earnings of 35.5 million U.S. dollars.

This map contains Gross Domestic Product - the total value of goods produced and services provided - by country, per capita in 2016, expressed in 2016 US Dollars. Expressing the GDP in "per capita" terms allows for better comparisons across countries. Total GDP is available in an accompanying map. GDP as a measure has been largely criticized as an incomplete measure of productivity and wealth, as it does not take into account production in the informal economy, quality of life, degradation to the environment, or income distribution. However, GDP is an internationally comparable measure, used in everything from banks setting interest rates to political campaign speeches.Source: World Bank, World Development Indicators.

Philippines GDP per Capita: 1985p: Metro Manila data was reported at 40,838.000 PHP in 2009. This records a decrease from the previous number of 41,541.000 PHP for 2008. Philippines GDP per Capita: 1985p: Metro Manila data is updated yearly, averaging 28,516.000 PHP from Dec 1980 (Median) to 2009, with 30 observations. The data reached an all-time high of 41,541.000 PHP in 2008 and a record low of 23,660.000 PHP in 1985. Philippines GDP per Capita: 1985p: Metro Manila data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A054: Gross Domestic Product: per Capita: by Region: SNA 1968/1993: 1985 Price.

Philippines GDP per Capita: Metro Manila data was reported at 465,691.000 PHP in 2017. This records an increase from the previous number of 432,155.000 PHP for 2016. Philippines GDP per Capita: Metro Manila data is updated yearly, averaging 341,130.000 PHP from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 465,691.000 PHP in 2017 and a record low of 245,500.000 PHP in 2009. Philippines GDP per Capita: Metro Manila data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A021: SNA 2008: Gross Domestic Product: per Capita: by Region: Current Price.

In 2023, the GDP of the San Francisco Bay Area amounted to 681.89 billion U.S. dollars, an increase from the previous year. The overall quarterly GDP growth in the United States can be found here. The GDP of the San Francisco Bay Area The San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, 101 cities, and 7,000 square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. There are approximately 4.62 million people living in the metro area as of 2022. Silicon Valley In the ten year period between 2001 and 2011, the Bay Area saw steady GDP growth. Starting in 2012, it began to skyrocket. This is thanks to an economic boom in the tech sector, and high value companies headquartered in Silicon Valley - also part of the Bay Area. Silicon Valley is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there. Additionally, California ranked first on a list of U.S. states by GDP, with more than 3.59 trillion U.S. dollars in GDP in 2022.

This data set consists of transcripts from 10 focus group discussions on themes related to social equality in China. The focus group discussions were conducted by Horizon Research Consultancy using a discussion guide written by the Investigators. They were held in nine cities chosen to represent east, west and south China, including 4 provincial capitals: Beijing, Changsha, Guangzhou, and Shanghai, and 5 prefecture level cities: Baoding, Fuzhou, Luoyang, Mianyang, and Suzhou. The respondents included a mix of ages, genders, blue and white collar workers, and included at least one migrant (from another province) in each focus group. Separate focus group discussions were held for respondents with mainly urban hukou (residence registration) and for respondents with mainly rural hukou. There were two discussions in Guangzhou, one for each residence registration category. The focus groups in Baoding and Suzhou were held only for respondents age 18-29. Further details of recruitment and stratification are given in the documentation.

The focus group discussions dealt with household and national economic change, perceptions of social fairness, and welfare values. Specifically, respondents were asked about the state of the national and local economies, their household economy, how they define rich and poor people and how they position themselves in relation to these categories. They were asked about whether they perceived differences in wealth between individuals, regions and between urban and rural areas as fair, and whether such differences are increasing or decreasing. Finally they were asked about whether the rich should take more responsibility for the welfare of the poor, about their own personal responsibility and that of the state and businesses.

Prior to taking part in the focus group discussions, participants completed a screening questionnaire, which also served to collect basic information, including gender, age, marital status, ethnicity, level of education, self-assessed adequacy of income, occupation, hukou, property ownership and type of neighbourhood. The screening questionnaire and information on participants are included.

The transcripts are provided in English and Chinese. The Chinese text was transcribed by Horizon from audio files by someone familiar with the local dialect. The English translations were done by a native English speaker with help from a Chinese assistant. The participants are identified in the transcripts by a seat number, which corresponds to the information on participants in the Excel files. Where individuals' names were disclosed in the discussion, these have been replaced by their seat number. A set of brief notes from the translator is included.

A parallel set of focus group discussions was held in Russia and is available as the collection Social Equality Forum Russia: Focus Group Transcripts (see Related Resources).

Taken together, Russia and China account for 41 per cent of the total territory of the BRICs and 63 per cent of their GDP/PPP. On Goldman Sachs projections China will be the world’s largest economy by 2050, and Russia its sixth largest. The project will seek to examine the following propositions: (1) that these two BRIC countries are becoming increasingly unequal; (2) that within them, political power and economic advantage are increasingly closely associated; (3) that their political systems have increasingly been employed to ensure that no effective challenge can be mounted to that combination of government position and economic advantage; (4) that set against a broader comparative perspective, an increasingly unequal society in which government is effectively immune from conventional challenge is likely to become increasingly regressive, or unstable, or both.

Evidence will be drawn from official statistics, interviews with policy specialists and government officials, two dozen focus groups, and an analysis of the composition of the management boards of the largest companies in both countries. A final part of the analysis will employ crossnational evidence to test a series of hypotheses relating to the association between inequality and political instability on a more broadly comparative basis.

In 2021, per capita gross domestic product (GDP) of the Guangdong - Hong Kong - Macao Greater Bay Area reached around 22,858 U.S. dollars. This was much less than per capita GDP of the San Francisco Bay Area and the New York Metropolitan Area. However, in terms of total GDP, China's Greater Bay Area was very much on par with other major global bay areas.

人均国内生产总值：2000年价格：马尼拉大都会在12-01-2017达244,453.000菲律宾比索，相较于12-01-2016的232,739.000菲律宾比索有所增长。人均国内生产总值：2000年价格：马尼拉大都会数据按年更新，12-01-2009至12-01-2017期间平均值为195,013.000菲律宾比索，共9份观测结果。该数据的历史最高值出现于12-01-2017，达244,453.000菲律宾比索，而历史最低值则出现于12-01-2009，为162,321.000菲律宾比索。CEIC提供的人均国内生产总值：2000年价格：马尼拉大都会数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – 表 PH.A022：国内生产总值：人均：按地区：2008年国民经济核算体系（SNA 2008）：2000年价格。

人均国内生产总值：法国本土 在12-01-2015达33,408.655欧元，相较于12-01-2014的32,838.646欧元有所增长。人均国内生产总值：法国本土 数据按年更新，12-01-1990至12-01-2015期间平均值为26,447.988欧元，共26份观测结果。该数据的历史最高值出现于12-01-2015，达33,408.655欧元，而历史最低值则出现于12-01-1990，为18,407.085欧元。CEIC提供的人均国内生产总值：法国本土 数据处于定期更新的状态，数据来源于Institut National de la Statistique et des Etudes Economiques，数据归类于Global Database的法国 – 表 FR.A025：2010年欧洲账户体系（ESA 2010）：人均国内生产总值：按地区。