The gross domestic product (GDP) of California was about 4.1 trillion U.S. dollars in 2024, meaning that it contributed the most out of any state to the country’s GDP in that year. In contrast, Vermont had the lowest GDP in the United States, with 45.71 billion U.S. dollars. What is GDP? Gross domestic product, or GDP, is the total monetary value of all goods and services produced by an economy within a certain time period. GDP is used by economists to determine the economic health of an area, as well as to determine the size of the economy. GDP can be determined for countries, states and provinces, and metropolitan areas. While GDP is a good measure of the absolute size of a country's economy and economic activity, it does account for many other factors, making it a poor indicator for measuring the cost or standard of living in a country, or for making cross-country comparisons. GDP of the United States The United States has the largest gross domestic product in the world as of 2023, with China, Japan, Germany, and India rounding out the top five. The GDP of the United States has almost quadrupled since 1990, when it was about 5.9 trillion U.S. dollars, to about 25.46 trillion U.S. dollars in 2022.

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.

In 2023, the real gross domestic product of California increased by about two percent when compared to 2022. This was a slight increase in the state's GDP compared to previous years, when the real GDP generally increased by at least * percent.

Canada CA: GDP: Growth:(GDP) Gross Domestic Productper Capita data was reported at -1.855 % in 2023. This records a decrease from the previous number of 1.956 % for 2022. Canada CA: GDP: Growth:(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 1.848 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 5.448 % in 1962 and a record low of -6.062 % in 2020. Canada CA: GDP: Growth:(GDP) Gross Domestic Productper Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

Canada CA: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 54,040.000 USD in 2023. This records an increase from the previous number of 53,300.000 USD for 2022. Canada CA: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 20,870.000 USD from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 54,040.000 USD in 2023 and a record low of 2,380.000 USD in 1962. Canada CA: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

Canada CA: GDP: PPP data was reported at 2,547,198.394 Intl $ mn in 2023. This records an increase from the previous number of 2,442,788.783 Intl $ mn for 2022. Canada CA: GDP: PPP data is updated yearly, averaging 1,271,593.696 Intl $ mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 2,547,198.394 Intl $ mn in 2023 and a record low of 560,184.961 Intl $ mn in 1990. Canada CA: GDP: PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parity (PPP) conversion factor. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From April 2020, “GDP: linked series (current LCU)” [NY.GDP.MKTP.CN.AD] is used as underlying GDP in local currency unit so that it’s in line with time series of PPP conversion factors for GDP, which are extrapolated with linked GDP deflators.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;

In 2023, the state of California added about 3.2 trillion chained (2017) U.S. dollars of value to the U.S. real gross domestic product (GDP). Total real GDP amounted to about 22.7 trillion chained (2017) U.S. dollars.

Graph and download economic data for Real GDP at Constant National Prices for Georgia (RGDPNAGEA666NRUG) from 1990 to 2019 about Georgia, real, GDP, and price.

The U.S. manufacturing sector plays a central role in the economy, accounting for 20% of U.S. capital investment, 60% of the nation's exports and 70% of business R&D. Overall, the sector's market size, measured in terms of revenue is worth roughly $6 trillion, making it a major industry to do business with. So which U.S. states are the biggest for manufacturing? This article will explore the nation's top manufacturing states, measured by number of employees, based on MNI's database of 400,000 U.S. manufacturing companies.

Key information about United States Government Debt: % of GDP

• United States Government debt accounted for 124.0 % of the country's Nominal GDP in Dec 2024, compared with the ratio of 123.1 % in the previous quarter.
• US government debt to GDP ratio data is updated quarterly, available from Mar 1969 to Dec 2024.
• The data reached an all-time high of 130.4 % in Mar 2021 and a record low of 31.8 % in Sep 1974.

CEIC calculates quarterly Government Debt as % of Nominal GDP from monthly Government Debt and rolling sum of quarterly Nominal GDP. The Bureau of the Fiscal Service provides Government Debt in USD. The Bureau of Economic Analysis provides Nominal GDP in USD. Government Debt covers Central Government only.


Related information about United States Government Debt: % of GDP

• In the latest reports, US National Government Debt reached 36,220.2 USD bn in Jan 2025.
• The country's Nominal GDP reached 6,632.4 USD bn in Mar 2023.

Total domestic expenditures on research and development (R&D) as percentage of gross domestic product (GDP). This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Canada CA: GDP: % of GDP: Gross Value Added: Services data was reported at 69.066 % in 2014. This records a decrease from the previous number of 69.312 % for 2013. Canada CA: GDP: % of GDP: Gross Value Added: Services data is updated yearly, averaging 69.189 % from Dec 2007 (Median) to 2014, with 8 observations. The data reached an all-time high of 71.307 % in 2009 and a record low of 66.623 % in 2008. Canada CA: GDP: % of GDP: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Share of GDP. Services correspond to ISIC divisions 50-99 and they include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

The Comparative Political Economy Database (CPEDB) began at the Centre for Learning, Social Economy and Work (CLSEW) at the Ontario Institute for Studies in Education at the University of Toronto (OISE/UT) as part of the Changing Workplaces in a Knowledge Economy (CWKE) project. This data base was initially conceived and developed by Dr. Wally Seccombe (independent scholar) and Dr. D.W. Livingstone (Professor Emeritus at the University of Toronto). Seccombe has conducted internationally recognized historical research on evolving family structures of the labouring classes (A Millennium of Family Change: Feudalism to Capitalism in Northwestern Europe and Weathering the Storm: Working Class Families from the Industrial Revolution to the Fertility Decline). Livingstone has conducted decades of empirical research on class and labour relations. A major part of this research has used the Canadian Class Structure survey done at the Institute of Political Economy (IPE) at Carleton University in 1982 as a template for Canadian national surveys in 1998, 2004, 2010 and 2016, culminating in Tipping Point for Advanced Capitalism: Class, Class Consciousness and Activism in the ‘Knowledge Economy’ (https://fernwoodpublishing.ca/book/tipping-point-for-advanced-capitalism) and a publicly accessible data base including all five of these Canadian surveys (https://borealisdata.ca/dataverse/CanadaWorkLearningSurveys1998-2016). Seccombe and Livingstone have collaborated on a number of research studies that recognize the need to take account of expanded modes of production and reproduction. Both Seccombe and Livingstone are Research Associates of CLSEW at OISE/UT. The CPEDB Main File (an SPSS data file) covers the following areas (in order): demography, family/household, class/labour, government, electoral democracy, inequality (economic, political & gender), health, environment, internet, macro-economic and financial variables. In its present form, it contains annual data on 725 variables from 12 countries (alphabetically listed): Canada, Denmark, France, Germany, Greece, Italy, Japan, Norway, Spain, Sweden, United Kingdom and United States. A few of the variables date back to 1928, and the majority date from 1960 to 1990. Where these years are not covered in the source, a minority of variables begin with more recent years. All the variables end at the most recent available year (1999 to 2022). In the next version developed in 2025, the most recent years (2023 and 2024) will be added whenever they are present in the sources’ datasets. For researchers who are not using SPSS, refer to the Chart files for overviews, summaries and information on the dataset. For a current list of the variable names and their labels in the CPEDB data base, see the excel file: Outline of SPSS file Main CPEDB, Nov 6, 2023. At the end of each variable label in this file and the SPSS datafile, you will find the source of that variable in a bracket. If I have combined two variables from a given source, the bracket will begin with WS and then register the variables combined. In the 14 variables David created at the beginning of the Class Labour section, you will find DWL in these brackets with his description as to how it was derived. The CPEDB’s variables have been derived from many databases; the main ones are OECD (their Statistics and Family Databases), World Bank, ILO, IMF, WHO, WIID (World Income Inequality Database), OWID (Our World in Data), Parlgov (Parliaments and Governments Database), and V-Dem (Varieties of Democracy). The Institute for Political Economy at Carleton University is currently the main site for continuing refinement of the CPEDB. IPE Director Justin Paulson and other members are involved along with Seccombe and Livingstone in further development and safe storage of this updated database both at the IPE at Carleton and the UT dataverse. All those who explore the CPEDB are invited to share their perceptions of the entire database, or any of its sections, with Seccombe generally (wseccombe@sympatico.ca) and Livingstone for class/labour issues (davidlivingstone@utoronto.ca). They welcome any suggestions for additional variables together with their data sources. A new version CPEDB will be created in the spring of 2025 and installed as soon as the revision is completed. This revised version is intended to be a valuable resource for researchers in all of the included countries as well as Canada.

The statistic shows the gross domestic product (GDP) of the United States from 1987 to 2024, with projections up until 2030. The gross domestic product of the United States in 2024 amounted to around 29.18 trillion U.S. dollars. The United States and the economy The United States’ economy is by far the largest in the world; a status which can be determined by several key factors, one being gross domestic product: A look at the GDP of the main industrialized and emerging countries shows a significant difference between US GDP and the GDP of China, the runner-up in the ranking, as well as the followers Japan, Germany and France. Interestingly, it is assumed that China will have surpassed the States in terms of GDP by 2030, but for now, the United States is among the leading countries in almost all other relevant rankings and statistics, trade and employment for example. See the U.S. GDP growth rate here. Just like in other countries, the American economy suffered a severe setback when the economic crisis occurred in 2008. The American economy entered a recession caused by the collapsing real estate market and increasing unemployment. Despite this, the standard of living is considered quite high; life expectancy in the United States has been continually increasing slightly over the past decade, the unemployment rate in the United States has been steadily recovering and decreasing since the crisis, and the Big Mac Index, which represents the global prices for a Big Mac, a popular indicator for the purchasing power of an economy, shows that the United States’ purchasing power in particular is only slightly lower than that of the euro area.

Canada CA: GDP: Growth: Household Final Consumption Expenditure per Capita data was reported at -1.223 % in 2023. This records a decrease from the previous number of 3.196 % for 2022. Canada CA: GDP: Growth: Household Final Consumption Expenditure per Capita data is updated yearly, averaging 1.881 % from Dec 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 5.625 % in 1972 and a record low of -7.268 % in 2020. Canada CA: GDP: Growth: Household Final Consumption Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2010 prices and World Bank population estimates. Household final consumption expenditure (private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

Canada CA: GDP: USD: Gross National Income: Atlas Method data was reported at 2,167.054 USD bn in 2023. This records an increase from the previous number of 2,075.404 USD bn for 2022. Canada CA: GDP: USD: Gross National Income: Atlas Method data is updated yearly, averaging 606.697 USD bn from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 2,167.054 USD bn in 2023 and a record low of 44.354 USD bn in 1962. Canada CA: GDP: USD: Gross National Income: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Gap-filled total;

This graph shows the GDP of the San Francisco Bay Area in 2022, by industry. In 2022, the GDP of the San Francisco metro area amounted to about ****** billion U.S. dollars. About ***** billion U.S. dollars were generated in the manufacturing industries. The overall quarterly GDP growth in the United States can be found here. The San Francisco Bay Area’s GDPThe 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. The United States Census Bureau considers the Bay Area a Combined Statistical Area (CSA) with approximately *** million people, including the nine counties bordering San Francisco Bay as well as Santa Cruz and San Benito Counties, making it the sixth largest CSA in the United States. In the ten year period between 2001 and 2011, the Bay Area saw its GDP grow considerably. In 2001, GDP was *** billion U.S. dollars. This value rose to *** billion U.S. dollars by 2011. Additionally, California ranked first on a list of U.S. states by GDP, with *** trillion U.S. dollars of GDP in 2012. Silicon Valley, located in the Bay Area, is in great part responsible for the Bay Area’s and California’s high GDPs, as it is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there.

Canada CA: GDP: % of GDP: Gross Value Added: Agriculture data was reported at 1.890 % in 2017. This records an increase from the previous number of 1.862 % for 2016. Canada CA: GDP: % of GDP: Gross Value Added: Agriculture data is updated yearly, averaging 1.880 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 2.196 % in 1999 and a record low of 1.493 % in 2010. Canada CA: GDP: % of GDP: Gross Value Added: Agriculture data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Share of GDP. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

Canada CA: PPP Conversion Factor: GDP data was reported at 1.142 CAD/Intl $ in 2024. This records an increase from the previous number of 1.135 CAD/Intl $ for 2023. Canada CA: PPP Conversion Factor: GDP data is updated yearly, averaging 1.214 CAD/Intl $ from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 1.248 CAD/Intl $ in 2015 and a record low of 1.135 CAD/Intl $ in 2023. Canada CA: PPP Conversion Factor: GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. Purchasing power parity (PPP) conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries, thereby allowing volume comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for GDP.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;;

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.