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Graph and download economic data for Gross Domestic Product: All Industry Total in California (CANGSP) from 1997 to 2024 about GSP, CA, industry, GDP, and USA.
In 2023, the finance, insurance, real estate, rental, and leasing industry added the most value to California's gross domestic product, adding 577.27 billion chained 2017 U.S. dollars. The information industry added 452.26 billion U.S. dollars to the state GDP in that year.
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Graph and download economic data for Real Gross Domestic Product: All Industry Total in California (CARGSP) from 1997 to 2024 about GSP, CA, real, industry, GDP, and USA.
In 2023, the real gross domestic product (GDP) of California was 3.23 trillion U.S. dollars. This is a slight increase from the previous year, when the state's GDP stood at 3.23 trillion U.S. dollars.
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Graph and download economic data for Gross Domestic Product: All Industry Total in California (CANQGSP) from Q1 2005 to Q4 2024 about GSP, CA, industry, GDP, and USA.
The gross domestic product (GDP) of California was about 3.23 trillion U.S. dollars in 2023, 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 35.07 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.
This statistic shows the Gross Domestic Product (GDP) of Canada in February 2024, distinguished by major industry. In February 2024, the construction industry of Canada contributed about 160.97 billion Canadian dollars to the total Canadian GDP.
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The Ministry of Agriculture, Food and Rural Affairs has created an Economic Impact Summary from the business, agri-food, and farm data profiles for: * each region in the province (Central, Eastern, Western, Southern, and Northern Ontario) * each county within regions The Economic Impact Summary contain statistical data such as: * number of farms, total farm area and farm operators * farm cash receipts * GDP and employment throughout Ontario’s agri-food value chain across the province attributable to farm production in each county and region * number of agri-food businesses and employment in agri-food within the county and region
Gross Domestic Product (GDP) at basic prices, by various North American Industry Classification System (NAICS) aggregates, by Industry, volume measures, all levels of industries, (dollars x 1,000,000), annual, 5 most recent time periods.
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Avalon. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Avalon median household income by race. You can refer the same here
Note: Blueprint has been retired as of June 15, 2021. This dataset will be kept up for historical purposes, but will no longer be updated. California has a new blueprint for reducing COVID-19 in the state with revised criteria for loosening and tightening restrictions on activities. Every county in California is assigned to a tier based on its test positivity and adjusted case rate for tier assignment. Additionally, a new health equity metric took effect on October 6, 2020. In order to advance to the next less restrictive tier, each county will need to meet an equity metric or demonstrate targeted investments to eliminate disparities in levels of COVID-19 transmission, depending on its size. The California Health Equity Metric is designed to help guide counties in their continuing efforts to reduce COVID-19 cases in all communities and requires more intensive efforts to prevent and mitigate the spread of COVID-19 among Californians who have been disproportionately impacted by this pandemic. Please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/COVID19CountyMonitoringOverview.aspx for more information. Also, in lieu of a Data Dictionary, please refer to the detailed explanation of the data columns in Appendix 1 of the above webpage. Because this data is in machine-readable format, the merged headers at the top of the source spreadsheet have not been included: The first 8 columns are under the header "County Status as of Tier Assignment" The next 3 columns are under the header "Current Data Week Tier and Metric Tiers for Data Week" The next 4 columns are under the header "Case Rate Adjustment Factors" The next column is under the header "Small County Considerations" The last 5 columns are under the header "Health Equity Framework Parameters"
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The Ontario Economic Accounts (OEA) is a public document, released four times a year that provides an overall assessment of the current state of the Ontario economy. OEA estimates are based on Statistics Canada data. Its primary audience includes economists in both public and private sectors and credit rating agencies.
*[OEA]: Ontario Economic Accounts
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[ARCHIVED] Community Counts data is retained for archival purposes only, such as research, reference and record-keeping. This data has not been maintained or updated. Users looking for the latest information should refer to Statistics Canada’s Census Program (https://www12.statcan.gc.ca/census-recensement/index-eng.cfm?MM=1) for the latest data, including detailed results about Nova Scotia. This table reports income, taxes and tax yields as reported on tax filings, by age and sex. Geography available: economic regions
In 2023, the G7 countries of Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States held 30 percent of the global gross domestic product (GDP). In 2029, that figure is projected to drop to 27 percent. Considering the other G20 countries, excluding the G7 countries, the GDP is expected to account for around 46 percent of the global GDP in 2029.
Annual Provincial and Territorial Gross Domestic Product (GDP) at basic prices, by North American Industry Classification aggregates, in chained and current dollars, growth rate.
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Graph and download economic data for Real Gross Domestic Product: All Industry Total in California (CARQGSP) from Q1 2005 to Q4 2024 about GSP, CA, real, industry, GDP, and USA.
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Brazil BoP: CA: Primary Income (PI) data was reported at -5.781 USD bn in Mar 2025. This records a decrease from the previous number of -4.104 USD bn for Feb 2025. Brazil BoP: CA: Primary Income (PI) data is updated monthly, averaging -2.611 USD bn from Jan 1995 (Median) to Mar 2025, with 363 observations. The data reached an all-time high of -360.732 USD mn in Feb 1996 and a record low of -10.608 USD bn in Dec 2023. Brazil BoP: CA: Primary Income (PI) data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.JBA002: BPM6: Balance of Payments: Current Account. BoP: Current Account: Primary Income
This table contains data for gross domestic product (GDP), in current dollars, for all census metropolitan area and non-census metropolitan areas.
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BoP: CA: G&S: Goods data was reported at 712.881 JPY bn in Feb 2025. This records an increase from the previous number of -2,937.879 JPY bn for Jan 2025. BoP: CA: G&S: Goods data is updated monthly, averaging 539.360 JPY bn from Jan 1996 (Median) to Feb 2025, with 350 observations. The data reached an all-time high of 1,944.475 JPY bn in Sep 2007 and a record low of -3,217.969 JPY bn in Jan 2023. BoP: CA: G&S: Goods data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.JB001: Balance of Payment: BPM6: Summary.
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Graph and download economic data for Gross Domestic Product: All Industry Total in California (CANGSP) from 1997 to 2024 about GSP, CA, industry, GDP, and USA.