11 datasets found
  1. U.S. real value added to GDP in Florida 2023, by industry

    • statista.com
    Updated Oct 14, 2024
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    Statista (2024). U.S. real value added to GDP in Florida 2023, by industry [Dataset]. https://www.statista.com/statistics/304903/florida-real-gdp-by-industry/
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In Florida, the mining, quarrying, and oil and gas extraction industry added around 990 million chained 2017 U.S. dollars of value to the state's gross domestic product (GDP) in 2023. The total value added to Florida's GDP by all industries was about 1.29 trillion U.S. dollars that year.

  2. F

    Real Gross Domestic Product: All Industry Total in Florida

    • fred.stlouisfed.org
    json
    Updated Sep 26, 2025
    + more versions
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    (2025). Real Gross Domestic Product: All Industry Total in Florida [Dataset]. https://fred.stlouisfed.org/series/FLRGSP
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    jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Florida
    Description

    Graph and download economic data for Real Gross Domestic Product: All Industry Total in Florida (FLRGSP) from 1997 to 2024 about GSP, FL, real, industry, GDP, and USA.

  3. d

    Understanding the Creative Economy in China

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Borealis (2023). Understanding the Creative Economy in China [Dataset]. https://search.dataone.org/view/sha256%3A33b030bfbdf112fd0984250f0be4ee04e3ce1af92b559be1b54682984f0bad85
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Area covered
    China
    Description

    This work critically examines the emergence of a post-industrial economy in China as it continues to transform into a 21st century global leader. On August 15th, 2010, the Financial Times published an article stating that recently released figures from the International Monetary Fund show that China had surpassed Japan as the second-largest economy in the world and predicted that China will maintain its lead going forward . This is an astonishing feat for an emerging economy, as Japan had previously held the second-place position for over four decades. In recent years, China has outperformed other large emerging economies such as Brazil, Russia and India. As a result, it is important to examine China more closely and understand what is occurring within the country as it continues to grow and develop as a global leader. In the contemporary global environment, lasting economic advantage comes from attracting and retaining a talented and creative workforce. As China begins to transition from an industrial economy to a post-industrial economy, several factors including a more educated workforce, the development of domestic intellectual property and openness to a more diverse range of ideas and people are becoming more important. Against this backdrop, this report explores the emergence of a creative, service-driven, post-industrial economy in China by employing two methods of analysis developed by Richard Florida (2002). The first part of the analysis examines the changing occupational structure of China’s workforce. To execute this part of the analysis, we divide China’s workforce into the four occupational categories defined by Florida (2002): creative class, service class, working class and fishing, farming and forestry class. The second part of the analysis employs what are known as the “3Ts of economic development” to rank China’s regions according to their strengths in supporting a creative economy. The 3Ts of regional economic development include technology (high-tech employment and innovation), talent (education and skills), and tolerance (diversity and openness). The report explores China’s provincial-level regions and three of its four Municipalities, with a special interest in the dynamics and geography of the creative economy.

  4. U.S. real per capita GDP 2024, by state

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). U.S. real per capita GDP 2024, by state [Dataset]. https://www.statista.com/statistics/248063/per-capita-us-real-gross-domestic-product-gdp-by-state/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    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.

  5. U

    United States State Leading Index: Florida

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States State Leading Index: Florida [Dataset]. https://www.ceicdata.com/en/united-states/state-leading-index/state-leading-index-florida
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    United States
    Variables measured
    Business Cycle Indicator
    Description

    United States State Leading Index: Florida data was reported at 1.954 % in Aug 2018. This records a decrease from the previous number of 2.031 % for Jul 2018. United States State Leading Index: Florida data is updated monthly, averaging 1.847 % from Jan 1982 (Median) to Aug 2018, with 440 observations. The data reached an all-time high of 3.688 % in Oct 1983 and a record low of -2.443 % in Oct 2001. United States State Leading Index: Florida data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.S008: State Leading Index.

  6. F

    Leading Index for Florida

    • fred.stlouisfed.org
    json
    Updated Apr 14, 2020
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    (2020). Leading Index for Florida [Dataset]. https://fred.stlouisfed.org/series/FLSLIND
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    jsonAvailable download formats
    Dataset updated
    Apr 14, 2020
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Florida
    Description

    Graph and download economic data for Leading Index for Florida (FLSLIND) from Jan 1982 to Feb 2020 about leading index, FL, and USA.

  7. T

    Leading Index for Florida

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Leading Index for Florida [Dataset]. https://tradingeconomics.com/united-states/leading-index-for-florida-fed-data.html
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    csv, xml, json, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Florida
    Description

    Leading Index for Florida was 1.72% in February of 2020, according to the United States Federal Reserve. Historically, Leading Index for Florida reached a record high of 3.64 in October of 1983 and a record low of -2.24 in October of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Leading Index for Florida - last updated from the United States Federal Reserve on November of 2025.

  8. U

    United States SB: Florida (FL): COVID-19 Impact: Large Negative Effect

    • ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). United States SB: Florida (FL): COVID-19 Impact: Large Negative Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-south-region/sb-florida-fl-covid19-impact-large-negative-effect
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: Florida (FL): COVID-19 Impact: Large Negative Effect data was reported at 19.200 % in 11 Apr 2022. This records a decrease from the previous number of 22.800 % for 04 Apr 2022. United States SB: Florida (FL): COVID-19 Impact: Large Negative Effect data is updated weekly, averaging 21.750 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 24.300 % in 10 Jan 2022 and a record low of 17.800 % in 21 Feb 2022. United States SB: Florida (FL): COVID-19 Impact: Large Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).

  9. Scientific & Economic Consulting in Florida - Market Research Report...

    • ibisworld.com
    + more versions
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    IBISWorld, Scientific & Economic Consulting in Florida - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/florida/scientific-economic-consulting/20309/
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    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Description

    The Scientific & Economic Consulting industry in Florida is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x million.

  10. Commercial building economic damage due to flood risk in the U.S. 2022, by...

    • statista.com
    Updated Dec 13, 2021
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    Statista (2021). Commercial building economic damage due to flood risk in the U.S. 2022, by state [Dataset]. https://www.statista.com/statistics/1292165/economic-damage-commercial-buildings-flood-risk-us/
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    Dataset updated
    Dec 13, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    As of 2022, Florida was the U.S. state facing the largest economic damage to commercial buildings due to flood risk. At the time, direct structural damage and indirect damage due to business days lost in the Sunshine State could add up to more than ************* U.S. dollars. Meanwhile, in both New York and Pennsylvania, economic damage was estimated at more than *** bilion dollars. Economic damage due to flood in commercial buildings in the U.S. is expected to grow by roughly ** percent by 2052.

  11. N

    Age-wise distribution of Florida, Massachusetts household incomes:...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). Age-wise distribution of Florida, Massachusetts household incomes: Comparative analysis across 16 income brackets [Dataset]. https://www.neilsberg.com/research/datasets/85a640b3-8dec-11ee-9302-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Massachusetts, Florida
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Florida town: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 56(17.61%) households with a householder aged between 25 and 44 years, 175(55.03%) households with a householder aged between 45 and 64 years, and 87(27.36%) households where the householder is over 65 years old.
    • The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the town of Florida town, showcasing varying income levels among different age demographics.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income brackets:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Florida town median household income by age. You can refer the same here

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    Learn how you can add new datasets to our index.

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Statista (2024). U.S. real value added to GDP in Florida 2023, by industry [Dataset]. https://www.statista.com/statistics/304903/florida-real-gdp-by-industry/
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U.S. real value added to GDP in Florida 2023, by industry

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 14, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

In Florida, the mining, quarrying, and oil and gas extraction industry added around 990 million chained 2017 U.S. dollars of value to the state's gross domestic product (GDP) in 2023. The total value added to Florida's GDP by all industries was about 1.29 trillion U.S. dollars that year.

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