Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2024, at 92,341 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 41,603 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 210,780 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.

The gross domestic product per capita varied between provinces of Turkey. Under the observed period, Istanbul generally registered the highest GDP per capita. However, from 2021, Kocaeli ranked first, with its GDP per capita totaling almost ****** U.S. dollars in 2023. The capital city, Ankara, came third in the ranking, with a GDP per capita of ****** U.S. dollars.

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.

The average for 2024 based on 40 countries was 31895 U.S. dollars. The highest value was in Singapore: 132570 U.S. dollars and the lowest value was in Palestine: 3846 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

Annual estimates of balanced UK regional gross domestic product (GDP). Current price estimates and chained volume measures for combined authorities and city regions.

CN: GDP: per Capita: Anhui: Xuancheng data was reported at 78,358.000 RMB in 2023. This records an increase from the previous number of 76,853.000 RMB for 2022. CN: GDP: per Capita: Anhui: Xuancheng data is updated yearly, averaging 28,057.506 RMB from Dec 2001 (Median) to 2023, with 22 observations. The data reached an all-time high of 78,358.000 RMB in 2023 and a record low of 6,144.410 RMB in 2001. CN: GDP: per Capita: Anhui: Xuancheng data remains active status in CEIC and is reported by Xuancheng Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City: per Capita.

CN: GDP: per Capita: Guangdong: Zhanjiang data was reported at 53,757.127 RMB in 2023. This records an increase from the previous number of 52,786.547 RMB for 2022. CN: GDP: per Capita: Guangdong: Zhanjiang data is updated yearly, averaging 25,317.762 RMB from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 53,757.127 RMB in 2023 and a record low of 6,230.589 RMB in 2000. CN: GDP: per Capita: Guangdong: Zhanjiang data remains active status in CEIC and is reported by Zhanjiang Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City: per Capita.

In 2024, the average per capita gross domestic product (GDP) in the Guangdong - Hong Kong - Macao Greater Bay Area ranged at ****** U.S. dollars. Per capita gross domestic product in Macao amounted to around ****** U.S. dollars in that year, ranking first among cities in the Greater Bay Area. The Greater Bay Area in China The political concept of the Guangdong - Hong Kong - Macao Greater Bay Area was introduced to the public in 2017 and further implemented by jointly signed agreements in the following years. It aims at integrating the special administrative regions of Macao and Hong Kong into the Chinese mainland and boosting the economy of all participating cities in the Pearl River Delta. The development plan for the Greater Bay Area is part of a national Chinese initiative to promote several economic city clusters in China. On the Chinese mainland, nine cities are part of the Greater Bay Area region, all of them located in Guangdong province: Shenzhen, Guangzhou, Zhuhai, Foshan, Zhongshan, Dongguan, Huizhou, Jiangmen, and Zhaoqing. In the long run, the joint plan intends to develop the region into the world's largest and economically most successful Bay Area. Per capita GDP in the Greater Bay Area In terms of per capita GDP, the more mature economies of Macao and Hong Kong are still ahead of mainland Chinese cities in the Greater Bay Area, although Shenzhen and Guangzhou belong to the most developed cities in the whole of mainland China. However, growth rates on the mainland are considerably higher than in Hong Kong and Macao. This is especially true for Shenzhen, which is famous for its past economic boom and has developed into a bustling high-tech location, home to the well-known computer and internet giants Huawei and Tencent.

GDP: per Capita: Guangdong: Shenzhen data was reported at 195,230.173 RMB in 2023. This records an increase from the previous number of 183,801.000 RMB for 2022. GDP: per Capita: Guangdong: Shenzhen data is updated yearly, averaging 35,390.000 RMB from Dec 1979 (Median) to 2023, with 45 observations. The data reached an all-time high of 195,230.173 RMB in 2023 and a record low of 606.000 RMB in 1979. GDP: per Capita: Guangdong: Shenzhen data remains active status in CEIC and is reported by Shenzhen Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City: per Capita.

This table contains data for gross domestic product (GDP), in current dollars, for all census metropolitan area and non-census metropolitan areas.

GDP: per Capita: Guangxi: Nanning data was reported at 61,338.000 RMB in 2023. This records an increase from the previous number of 58,883.000 RMB for 2022. GDP: per Capita: Guangxi: Nanning data is updated yearly, averaging 12,173.500 RMB from Dec 1980 (Median) to 2023, with 36 observations. The data reached an all-time high of 61,338.000 RMB in 2023 and a record low of 387.000 RMB in 1980. GDP: per Capita: Guangxi: Nanning data remains active status in CEIC and is reported by Nanning Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City: per Capita.

In 2021, Midland metropolitan area in Texas had a per capita real GDP of about 227,765 chained U.S. dollars, the highest of any metro area in the United States. The San-Jose-Sunnyvale-Santa Clara and San Francisco-Oakland-Berkely metro areas in California also had high real GDP per capita. The Seattle-Tacoma-Bellevue metro area in Washington state and the Trenton-Princeton metro area in New Jersey round out the top five. Only the top 100 metro areas by GDP per capita are shown here.

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

GDP: per Capita: Guizhou: Guiyang data was reported at 81,670.000 RMB in 2023. This records an increase from the previous number of 79,872.000 RMB for 2022. GDP: per Capita: Guizhou: Guiyang data is updated yearly, averaging 21,822.000 RMB from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 81,670.000 RMB in 2023 and a record low of 4,063.000 RMB in 1994. GDP: per Capita: Guizhou: Guiyang data remains active status in CEIC and is reported by Guiyang Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City: per Capita.

Weather Conditions and Economic Analysis

Investigating the Relationship between Weather and Economic Activity

By [source]

About this dataset

This dataset consists of detailed information about the weather conditions in different cities from one of the official weather websites. It includes several variables including temperature, humidity, pressure, wind speed and direction, precipitation levels, cloud cover etc. which can be used to analyze the correlation between economic activities in these cities and their weather conditions. For example, this data can help us understand how certain types of business like tourism, retail or leisure activities are affected by changes in temperature and humidity levels. Additionally, it allows us to identify which specific kind of weather has more economic impact in a certain region and thus create accurate forecasts which could further improve commercial performances. All in all, this dataset is an invaluable source of information for people interested in understanding the relation between climate dynamics and economic outcomes

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How to use the dataset

• City Name: This column provides the name of the cities covered in this dataset.
• Weather Condition: This column lists the weather conditions associated with each city, such as sunny, cloudy, windy, etc.
• Temperature (C): This column provides the temperature (in Celsius) of each city as provided by official weather sources.
• Population: This column lists the population size (in millions) of each city covered in this dataset.
• GDP Per Capita: This column presents GDP per capita (measured in US Dollars) for each city included in our dataset 6 Economic Activity Index: This index measures economic activity levels for a particular state or region and can be used to analyze how different weather conditions affect economic activities such as tourism, retail, and leisure activities

How to use this dataset?

This dataset can be used to explore relationships between different factors that might influence economic activity levels at a regional level—namely population size and wealth as well as weather condition—or across countries over time and certain seasons or months to identify trends in regional differences between regions regarding their respective economics activities levels due to varying climates or meteorological events . Some specific analysis that could be done includes:

• Use City Name & Weather Condition columns together to calculate correlations between types of weather patterns/conditions seen throughout different locales; temperatures could also potentially be included for more comprehensive data exploration/analysis on climate dynamics - research on how “cold” vs “warm” periods affect local economies overall would also benefit from including these two columns together;

• Analyze Population & Economic Activity Index together - use these variables together to see if any correlation exists between populations sizes within a given region versus their respective economic performance level; other related variables such as GDP Per Capita could also potentially provide valuable insight into how economic activity varies depending on population density;

• Using all 6 columns together would enable even more comprehensive analysis e..g comparing temperatures & storm information versus expected tourist visits data or analyzing effects/correlations between strong winds & droughts versus changes seen within agricultural outputs . With careful combination of all 6 columns you could easily create some interesting models & computations for understanding broad implications which climate dynamics have upon global economics ; conversely you may explore individual cities too!

Research Ideas

• Use this dataset to analyze the correlation between weather conditions and consumer sentiment by comparing customer purchasing decisions in different cities under different weather conditions.
• Use this dataset to identify the optimal temperature for selling certain products, so that retailers can optimize their prices accordingly.
• Use this dataset to study how changes in weather influencers the types of transportation used by the population of a certain city, and help suggest improvements to public systems for better customer experience in changing climate situations

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

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The city of Paris in France had an estimated gross domestic product of 757.6 billion Euros in 2021, the most of any European city. Paris was followed by the spanish capital, Madrid, which had a GDP of 237.5 billion Euros, and the Irish capital, Dublin at 230 billion Euros. Milan, in the prosperous north of Italy, had a GDP of 228.4 billion Euros, 65 billion euros larger than the Italian capital Rome, and was the largest non-capital city in terms of GDP in Europe. The engine of Europe Among European countries, Germany had by far the largest economy, with a gross domestic product of over 4.18 trillion Euros. The United Kingdom or France have been Europe's second largest economy since the 1980s, depending on the year, with forecasts suggesting France will overtake the UK going into the 2020s. Germany however, has been the biggest European economy for some time, with five cities (Munich, Berlin, Hamburg, Stuttgart and Frankfurt) among the 15 largest European cities by GDP. Europe's largest cities In 2023, Moscow was the largest european city, with a population of nearly 12.7 million. Paris was the largest city in western Europe, with a population of over 11 million, while London was Europe's third-largest city at 9.6 million inhabitants.

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

Graph and download economic data for Per Capita Personal Income in San Francisco County/city, CA (PCPI06075) from 1969 to 2023 about San Francisco County/City, CA; San Francisco; personal income; per capita; CA; personal; income; and USA.

This dataset provides economic indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.

Data source and definition

The indicators include GDP, GDP per capita, gross value added, employment at place of work and labour productivity by type of territory. Data is collected 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.

The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.

Territorial typology on the population's access to cities

Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.

The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) – composed of urban centres and their commuting areas – and classifies small (TL3) regions (Fadic et al., 2019) according to the following criteria:

• Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: metropolitan large, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and metropolitan midsize, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.
• Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: near a midsize/large FUA if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; near a small FUA if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and remote, otherwise.

List of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).

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

A dataset listing the 20 richest cities in Illinois for 2024, including information on rank, city, county, population, average income, and median income.