This statistic provides a projection of the gross domestic product (GDP) of major megacities worldwide in 2030. As of this time, it is projected that the GDP of Tokyo, Japan, will reach 40 billion U.S. dollars.

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

As of 2024, Mumbai had a gross domestic product of *** billion U.S. dollars, the highest among other major cities in India. It was followed by Delhi with a GDP of around *** billion U.S. dollars. India’s megacities also boast the highest GDP among other cities in the country. What drives the GDP of India’s megacities? Mumbai is the financial capital of the country, and its GDP growth is primarily fueled by the financial services sector, port-based trade, and the Hindi film industry or Bollywood. Delhi in addition to being the political hub hosts a significant services sector. The satellite cities of Noida and Gurugram amplify the city's economic status. The southern cities of Bengaluru and Chennai have emerged as IT and manufacturing hubs respectively. Hyderabad is a significant player in the pharma and IT industries. Lastly, the western city of Ahmedabad, in addition to its strategic location and ports, is powered by the textile, chemicals, and machinery sectors. Does GDP equal to quality of life? Cities propelling economic growth and generating a major share of GDP is a global phenomenon, as in the case of Tokyo, Shanghai, New York, and others. However, the GDP, which measures the market value of all final goods and services produced in a region, does not always translate to a rise in quality of life. Five of India’s megacities featured in the Global Livability Index, with low ranks among global peers. The Index was based on indicators such as healthcare, political stability, environment and culture, infrastructure, and others.

Contains the GDP growth (% change) from 1980 to 2023 (predicted from 2019 and onwards) for countries around the world. The data was sourced from the International Monetary Fund (IMF), World Economic Outlook (Oct 2018), and from Focus Economics. The spatial data (polygons) were sourced from the World Countries layer by Esri.You can view and download the data here: https://www.imf.org/external/datamapper/NGDP_RPCH@WEO/OEMDC/ADVEC/WEOWORLDhttps://www.focus-economics.com/blog/emerging-markets-2019-economic-outlook

This statistic presents the cities that are at the highest risk of a costly disaster as of 2019, by the amount of GDP at risk. At that time, interstate conflict threatened Tokyo with a loss of **** billion U.S. dollars in GDP, making it the riskiest city in the world at that time in financial terms.

The “richness index” represents the level of economical wellbeing a country certain area in 2010. Regions with higher income per capita and low poverty rate and more access to market are wealthier and are therefore better able to prepare for and respond to adversity. The index results from the second cluster of the Principal Component Analysis preformed among 9 potential variables. The analysis identifies four dominant variables, namely “GDPppp per capita”, “agriculture share GDP per agriculture sector worker”, “poverty rate” and “market accessibility”, assigning weights of 0.33, 0.26, 0.25 and 0.16, respectively. Before to perform the analysis all variables were log transformed (except the “agriculture share GDP per agriculture sector worker”) to shorten the extreme variation and then were score-standardized (converted to distribution with average of 0 and standard deviation of 1; inverse method was applied for the “poverty rate” and “market accessibility”) in order to be comparable. The 0.5 arc-minute grid total GDPppp is based on the night time light satellite imagery of NOAA (see Ghosh, T., Powell, R., Elvidge, C. D., Baugh, K. E., Sutton, P. C., & Anderson, S. (2010).Shedding light on the global distribution of economic activity. The Open Geography Journal (3), 148-161) and adjusted to national total as recorded by International Monetary Fund for 2010. The “GDPppp per capita” was calculated dividing the total GDPppp by the population in each pixel. Further, a focal statistic ran to determine mean values within 10 km. This had a smoothing effect and represents some of the extended influence of intense economic activity for the local people. Country based data for “agriculture share GDP per agriculture sector worker” were calculated from GDPppp (data from International Monetary Fund) fraction from agriculture activity (measured by World Bank) divided by the number of worker in the agriculture sector (data from World Bank). The tabular data represents the average of the period 2008-2012 and were linked by country unit to the national boundaries shapefile (FAO/GAUL) and then converted into raster format (resolution 0.5 arc-minute). The first administrative level data for the “poverty rate” were estimated by NOAA for 2003 using nighttime lights satellite imagery. Tabular data were linked by first administrative unit to the first administrative boundaries shapefile (FAO/GAUL) and then converted into raster format (resolution 0.5 arc-minute). The 0.5 arc-minute grid “market accessibility” measures the travel distance in minutes to large cities (with population greater than 50,000 people). This dataset was developed by the European Commission and the World Bank to represent access to markets, schools, hospitals, etc.. The dataset capture the connectivity and the concentration of economic activity (in 2000). Markets may be important for a variety of reasons, including their abilities to spread risk and increase incomes. Markets are a means of linking people both spatially and over time. That is, they allow shocks (and risks) to be spread over wider areas. In particular, markets should make households less vulnerable to (localized) covariate shocks. This dataset has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

Data publication: 2014-05-15

Supplemental Information:

ClimAfrica was an international project funded by European Commission under the 7th Framework Programme (FP7) for the period 2010-2014. The ClimAfrica consortium was formed by 18 institutions, 9 from Europe, 8 from Africa, and the Food and Agriculture Organization of United Nations (FAO).

ClimAfrica was conceived to respond to the urgent international need for the most appropriate and up-to-date tools and methodologies to better understand and predict climate change, assess its impact on African ecosystems and population, and develop the correct adaptation strategies. Africa is probably the most vulnerable continent to climate change and climate variability and shows diverse range of agro-ecological and geographical features. Thus the impacts of climate change can be very high and can greatly differ across the continent, and even within countries.

The project focused on the following specific objectives:

1. Develop improved climate predictions on seasonal to decadal climatic scales, especially relevant to SSA;

2. Assess climate impacts in key sectors of SSA livelihood and economy, especially water resources and agriculture;

3. Evaluate the vulnerability of ecosystems and civil population to inter-annual variations and longer trends (10 years) in climate;

4. Suggest and analyse new suited adaptation strategies, focused on local needs;

5. Develop a new concept of 10 years monitoring and forecasting warning system, useful for food security, risk management and civil protection in SSA;

6. Analyse the economic impacts of climate change on agriculture and water resources in SSA and the cost-effectiveness of potential adaptation measures.

The work of ClimAfrica project was broken down into the following work packages (WPs) closely connected. All the activities described in WP1, WP2, WP3, WP4, WP5 consider the domain of the entire South Sahara Africa region. Only WP6 has a country specific (watershed) spatial scale where models validation and detailed processes analysis are carried out.

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Selvaraju Ramasamy

Resource constraints:

copyright

Online resources:

Richness index (2010)

Project deliverable D4.1 - Scenarios of major production systems in Africa

Climafrica Website - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations

According to a study by the World Travel & Tourism Council (WTTC), Paris was the city with the highest direct travel and tourism contribution to GDP in 2022. That year, the direct travel and tourism GDP in the capital of France - the country with the highest number of international tourist arrivals worldwide - amounted to roughly ***** billion U.S. dollars. Meanwhile, Beijing and Orlando followed on the ranking in 2022, with a direct travel and tourism GDP of around **** billion and **** billion U.S. dollars, respectively.

A spreadsheet containing THE/Elsevier’s Arts and Humanities 2015-2016 Top 100by Country, Population, GDP and Expenditure in Education (Latest World Bank Data). Some figures with commas for human readability. TES data is likely to be owned by or licensed by TES Global. Scopus data is Copyright © 2015 Elsevier B.V. All rights reserved .Scopus® is a registered trademark of Elsevier B.V. This spreadsheet contains data rearranged for research purposes sourced from freely available content published on https://www.timeshighereducation.com/world-university-rankings/2016/subject-ranking/arts-and-humanities and is shared here for educational and research purposes. No copyright infringement intended. The World Bank Open Data web sites offer free and open access to data about development in countries around the globe.

Like most countries in the world, Vietnam is increasingly seeing its development affected by climate change. With a coastline of 3,260 kilometers that includes major cities and production sites, Vietnam is highly exposed to sea-level rise. Climate change impacts on the Vietnamese economy and national welfare are already significant, about 3.2 percent of gross domestic product (GDP) in 2020, and they are expected to escalate rapidly even if greater efforts are made to mitigate future climate change around the world. Vietnam has historically had very low greenhouse gas (GHG) emissions, but over the past two decades, it has seen some of the fastest emissions growth rates in the world. From 2000 to 2015, as GDP per capita increased from 390 dollars to 2,000 dollars, per capita emissions more than quadrupled. Vietnam’s GHG emissions are associated with toxic air pollution in many of its cities today, with implications for health and labor productivity. At the UN Climate Change Conference in Glasgow in November 2021 (COP26), the Prime Minister made several commitments, including an ambitious target of reducing emissions to net zero by 2050. Vietnam’s increased attention to climate change and the environment reflects the growing economic costs of resource depletion and climate impacts, which have already started to harm trade and investment, two key drivers of the nation’s robust growth and job creation in recent decades. The Vietnam Country and Climate Development Report (CCDR) investigates these questions. One of the first in a series of country-level diagnostics produced by the World Bank Group (WBG) under its 2021–2025 Climate Change Action Plan, the CCDR examines the adaptation and mitigation challenges faced by Vietnam. It pays special attention to policy trade-offs and provides recommendations to help policy makers prioritize among a range of options, recognizing uncertainties about future climate change impacts and the availability of technology and financing. The CCDR relies on data and quantitative tools to inform the analysis and prioritization process.

This dataset provides values for GDP PER CAPITA reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This statistic shows the top ten cities in the world with the largest "super-rich wealth gap" in 2015. Bangalore had the largest wealth gap in 2015 with the wealth of billionaires 646,407 times that of the average per capita GDP.

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

This statistic shows the degree of urbanization in the Netherlands from 2013 to 2023 and details the percentage of the entire population, living in urban areas. In 2023, 93.18 percent of the total population of the Netherlands lived in cities. Population of the Netherlands The Netherlands is a developed country with a high standard of living. Owing to a fairly steady fertility rate, the total population of the Netherlands has only slightly increased over the past decade. A look at the population growth in the Netherlands shows that growth has been less than 1 percent at some points, and has even decreased to less than 0.5 percent at other intervals over the past few years. Population density in the Netherlands has increased very slightly accordingly, with the majority of the population living in cities, the largest being Amsterdam in terms of residents, closely followed by Rotterdam. The median age of the Netherlands’ population (i.e. one half of the population is older, while the other one is younger) has increased significantly since the 1980s, which is indicative of a high life expectancy among inhabitants. The Netherlands is currently ranked 16th on a ranking of the 20 countries with the highest life expectancy worldwide. The Netherlands is also among the countries with the highest GDP in the world, and is thus one of the leading economies. The majority of the workforce is employed in the services sector, generating the majority of gross domestic product. The labor force of the Netherlands consists of more than 8 million employed persons, and the unemployment rate has been increasing since the economic crisis in 2008. The crisis has also been visible in the inflation rate in the Netherlands over the past few years; on the other hand, trade balance figures show that the Dutch economy has been recovering steadily.

In 2023, the GDP of the New York metro area amounted to *** trillion chained 2017 U.S. dollars. This is an increase from 2021, when the GDP of the New York metro area was **** trillion dollars. New York CityThe New York metro area’s GDP has steadily risen in the last two decades from *** trillion U.S. dollars in 2001 to **** trillion U.S. dollars in 2023. In September 2023, the New York- Newark-Jersey City area had an unemployment rate of *** percent. It also had the highest population in the country in 2022 at ***** million people. New York City’s economy is one of the greatest in the country and is home to many Fortune 500 companies, including Big Pharma’s Bristol-Myers Squibb. Industries such as media, real estate, fashion and entertainment are some of the most prominent in the area. The finance industry in New York City, also known as Wall Street, is one of the leading financial centers of the world and houses the New York Stock Exchange and NASDAQ. The region is also home to one of the largest trading industries in the country at the Port of New York and New Jersey. This port includes a large estuary, regional airports, and a plethora of rail and road networks. Silicon Alley is one of the country’s largest technology industry hubs, including internet, telecommunications, and biotechnology. In 2022, there were some ****** business establishments in the region that focused on professional, scientific, and technical services.

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.

In 2023, the GDP of the San Francisco Bay Area amounted to ****** 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, *** cities, and ***** 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 **** trillion U.S. dollars in GDP in 2022.

This statistic provides projected figures for the Gross Metropolitan Product (GMP) of the United States in 2021, by metropolitan area. Only the 100 leading metropolitan areas are shown here. In 2022, the GMP of the New York-Newark-Jersey City metro area is projected to be around of about **** trillion U.S. dollars. Los Angeles metropolitan areaA metropolitan area in the U.S. is characterized by a relatively high population density and close economic ties through the area, albeit, without the legal incorporation that is found within cities. The Gross Metropolitan Product is measured by the Bureau of Economic Analysis under the U.S. Department of Commerce and includes only metropolitan areas. The GMP of the Los Angeles-Long Beach-Anaheim metropolitan area located in California is projected to be among the highest in the United States in 2021, amounting to *** trillion U.S. dollars. The Houston-The Woodlands-Sugar Land, Texas metro area is estimated to be approximately *** billion U.S. dollars in the same year. The Los Angeles metro area had one of the largest populations in the country, totaling ****** million people in 2021. The Greater Los Angeles region has one of the largest economies in the world and is the U.S. headquarters of many international car manufacturers including Honda, Mazda, and Hyundai. Its entertainment industry has generated plenty of tourism and includes world famous beaches, shopping, motion picture studios, and amusement parks. The Hollywood district is known as the “movie capital of the U.S.” and has its historical roots in the country’s film industry. Its port, the Port of Los Angeles and the Port of Long Beach are aggregately one of the world’s busiest ports. The Port of Los Angelesgenerated some ****** million U.S. dollars in revenue in 2019.

The per capita GDP contribution of Shanghai amounted to around ******* yuan in 2023, up from ******* yuan in the previous year. Shanghai is one of the largest cities in China. In terms of GDP, it was also the Chinese city with the largest GDP contribution, followed by Beijing and Shenzhen. Shanghai's economic development Shanghai’s GDP growth rate ranged at *** percent in 2023, slightly below the level of Chinese national GDP growth. As the leading city in the Yangtze River Delta Economic Zone, Shanghai is one of the most active cities for business and trade in China. While the share of the industrial sector in Shanghai’s GDP continues to shrink, the city’s economy is becoming increasingly reliant on the service sector. In 2013, the first free-trade zone in Mainland China was launched in Shanghai, making Shanghai play an essential role in China’s economic reforms. A friendlier investment environment, less tax burdens and a more open financial market for foreign companies were expected to be promoted there. Living in Shanghai Shanghai became world famous when it was recognized by the Europeans in the 19th century for its economic potential as an important harbor city. Today, it is still one of the most open and active cities in China. Migration from across China and other countries makes Shanghai a melting pot of different cultures, which can also be found in its diverse catering industry. In terms of housing prices, it’s one of the most expensive cities in China. Still, the colorful life and plentiful opportunities are attracting numerous young people to come to the city for study and work.

The statistic shows the gross domestic product (GDP) per capita in Canada from 1987 to 2023, with projections up until 2029. In 2023, the gross domestic product per capita in Canada was around 53,607.4 U.S. dollars. Canada's economy GDP per capita is a measurement often used to determine economic growth and potential increases in productivity and is calculated by taking the GDP and dividing it by the total population in the country. In 2014, Canada had one of the largest GDP per capita values in the world, a value that has grown continuously since 2010 after experiencing a slight downturn due to the financial crisis of 2008. Canada is seen as one of the premier countries in the world, particularly due to its strong economy and healthy international relations, most notably with the United States. Canada and the United States have political, social and economical similarities that further strengthen their relationship. The United States was and continues to be Canada’s primary and most important trade partner and vice versa. Canada’s economy is partly supported by its exports, most notably crude oil, which was the country’s largest export category. Canada was also one of the world’s leading oil exporters in 2013, exporting more than the United States. Additionally, Canada was also a major exporter of goods such as motor vehicles and mechanical appliances, which subsequently ranked the country as one of the world’s top export countries in 2013.

In 2023, Puerto Rico and The Bahamas were the states with the highest gross domestic product (GDP) per capita in Latin America and the Caribbean. The average GDP generated per person in the Bahamas amounted to 34,749 U.S. dollars, whereas the average wealth created per capita in Puerto Rico was estimated at around 34,749 U.S. dollars. In that same year, this region's lowest GDP per capita was that of Haiti, at less than 1,693 U.S. dollars per person per year. The largest economies in Latin America GDP is the total value of all goods and services produced in a country in a year. It is an important indicator to measure the economic strength of a country and the average wealth of its population. By far, the two largest economies in the region are Brazil and Mexico, both registering GDPs three times bigger than the third place, Argentina. Nonetheless, they are the two most populated countries by a great margin.
Key economic indicators of Latin America Latin America emerges as an important region in the world economy, as of 2023, around 7.3 percent of the global GDP, a similar share to the Middle East. Nevertheless, the economic development of most of its countries has been heavily affected by other factors, such as corruption, inequality, inflation, or crime and violence. Countries such as Venezuela, Suriname, and Argentina are constantly ranking among the highest inflation rates in the world. While Jamaica, Ecuador, and Haiti rank as some of the most crime-ridden states.