100+ datasets found
  1. United States US: GDP: Growth: Gross Value Added: Services

    • ceicdata.com
    Updated Dec 15, 2010
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    CEICdata.com (2010). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
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    Dataset updated
    Dec 15, 2010
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. 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.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

  2. m

    Data from: Research Document: Jaouad Karfali Economic Cycle Analysis with...

    • data.mendeley.com
    Updated Feb 26, 2025
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    Karfali Jaouad (2025). Research Document: Jaouad Karfali Economic Cycle Analysis with Numerical Time Cycles [Dataset]. http://doi.org/10.17632/wv7dcm5834.1
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    Dataset updated
    Feb 26, 2025
    Authors
    Karfali Jaouad
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    Description: This dataset contains historical economic data spanning from 1871 to 2024, used in Jaouad Karfali’s research on Economic Cycle Analysis with Numerical Time Cycles. The study aims to improve economic forecasting accuracy through the 9-year cycle model, which demonstrates superior predictive capabilities compared to traditional economic indicators.

    Dataset Contents: The dataset includes a comprehensive range of economic indicators used in the research, such as:

    USGDP_1871-2024.csv – U.S. Gross Domestic Product (GDP) data. USCPI_cleaned.csv – U.S. Consumer Price Index (CPI), cleaned and processed. USWAGE_1871-2024.csv – U.S. average wages data. EXCHANGEGLOBAL_cleaned.csv – Global exchange rates for the U.S. dollar. EXCHANGEPOUND_cleaned.csv – U.S. dollar to British pound exchange rates. INTERESTRATE_1871-2024.csv – U.S. interest rate data. UNRATE.csv – U.S. unemployment rate statistics. POPTOTUSA647NWDB.csv – U.S. total population data. Significance of the Data: This dataset serves as a foundation for a robust economic analysis of the U.S. economy over multiple decades. It was instrumental in testing the 9-year economic cycle model, which demonstrated an 85% accuracy rate in economic forecasting when compared to traditional models such as ARIMA and VAR.

    Applications:

    Economic Forecasting: Predicts a 1.5% decline in GDP in 2025, followed by a gradual recovery between 2026-2034. Economic Stability Analysis: Used for comparing forecasts with estimates from institutions like the IMF and World Bank. Academic and Institutional Research: Supports studies in economic cycles and long-term forecasting. Source & Further Information: For more details on the methodology and research findings, refer to the full paper published on SSRN:

    https://ssrn.com/author=7429208 https://orcid.org/0009-0002-9626-7289

    • Jaouad Karfali
  3. U.S. value added to GDP 2024, by industry

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
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    Statista (2025). U.S. value added to GDP 2024, by industry [Dataset]. https://www.statista.com/statistics/247991/value-added-to-the-us-gdp-by-industry/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, the finance, real estate, insurance, rental, and leasing industry added the most value to the GDP of the United States. In that year, this industry added 6.2 trillion U.S. dollars to the national GDP. Gross Domestic Product Gross domestic product is a measure of how much a country produces in a certain amount of time. Countries with a high GDP tend to have large economies, for example, the United States. However, GDP does not take into consideration the cost of living and inflation rates, so it is not a good measure of the standard of living. GDP per capita at purchasing power parity is thought to be more reflective of living conditions within a particular country. U.S. GDP California added the largest amount of value to the real GDP of the U.S. in 2022. California was followed by Texas and New York. In California, the professional and business services industry was the most valuable to GDP in 2022. In New York, the finance, insurance, real estate, rental, and leasing industry added the most value to the state GDP. While the business sector added the highest value to the U.S. real GDP in 2021, it was the information industry that had the biggest percentage change in value added to the GDP between 2010 and 2021.

  4. T

    United States - Government current expenditures: Federal: Economic affairs

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 11, 2020
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    TRADING ECONOMICS (2020). United States - Government current expenditures: Federal: Economic affairs [Dataset]. https://tradingeconomics.com/united-states/government-current-expenditures-federal-economic-affairs-fed-data.html
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Feb 11, 2020
    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
    United States
    Description

    United States - Government current expenditures: Federal: Economic affairs was 234.46500 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Government current expenditures: Federal: Economic affairs reached a record high of 987.44000 in January of 2021 and a record low of 5.46400 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Government current expenditures: Federal: Economic affairs - last updated from the United States Federal Reserve on July of 2025.

  5. T

    United States - Gross domestic product: Imputations

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 9, 2020
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    TRADING ECONOMICS (2020). United States - Gross domestic product: Imputations [Dataset]. https://tradingeconomics.com/united-states/gross-domestic-product-imputations-fed-data.html
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Feb 9, 2020
    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
    United States
    Description

    United States - Gross domestic product: Imputations was 3726.90400 Bil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Gross domestic product: Imputations reached a record high of 3726.90400 in January of 2022 and a record low of 6.89400 in January of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross domestic product: Imputations - last updated from the United States Federal Reserve on July of 2025.

  6. United States The Economist YouGov Polls: 2024 Presidential Election: Donald...

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump [Dataset]. https://www.ceicdata.com/en/united-states/the-economist-yougov-polls-2024-presidential-election/the-economist-yougov-polls-2024-presidential-election-donald-trump
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 13, 2024 - Oct 29, 2024
    Area covered
    United States
    Description

    United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data was reported at 46.000 % in 29 Oct 2024. This stayed constant from the previous number of 46.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data is updated weekly, averaging 43.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 46.000 % in 29 Oct 2024 and a record low of 38.000 % in 31 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...

  7. United States Diffusion Index: sa: Mfg: 3 Months Span

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Diffusion Index: sa: Mfg: 3 Months Span [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-diffusion-index/diffusion-index-sa-mfg-3-months-span
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Diffusion Index: sa: Mfg: 3 Months Span data was reported at 67.100 Unit in Oct 2018. This records an increase from the previous number of 63.200 Unit for Sep 2018. United States Diffusion Index: sa: Mfg: 3 Months Span data is updated monthly, averaging 49.000 Unit from Jan 1991 (Median) to Oct 2018, with 334 observations. The data reached an all-time high of 82.200 Unit in Nov 1997 and a record low of 2.600 Unit in Mar 2009. United States Diffusion Index: sa: Mfg: 3 Months Span data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G041: Current Employment Statistics Survey: Diffusion Index.

  8. T

    United States - Government current expenditures: Economic affairs:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
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    TRADING ECONOMICS (2020). United States - Government current expenditures: Economic affairs: Transportation: Highways [Dataset]. https://tradingeconomics.com/united-states/government-current-expenditures-economic-affairs-transportation-highways-fed-data.html
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Mar 9, 2020
    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
    United States
    Description

    United States - Government current expenditures: Economic affairs: Transportation: Highways was 194.65300 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Government current expenditures: Economic affairs: Transportation: Highways reached a record high of 194.65300 in January of 2023 and a record low of 4.59000 in January of 1959. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Government current expenditures: Economic affairs: Transportation: Highways - last updated from the United States Federal Reserve on July of 2025.

  9. M

    Benin Economic Growth

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Benin Economic Growth [Dataset]. https://www.macrotrends.net/global-metrics/countries/BEN/benin/economic-growth-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Benin
    Description
    Benin economic growth for 2023 was 19.68 billion US dollars, a 13.07% increase from 2022.
    <ul style='margin-top:20px;'>
    
    <li>Benin economic growth for 2022 was <strong>17.40 billion US dollars</strong>, a <strong>1.63% decline</strong> from 2021.</li>
    <li>Benin economic growth for 2021 was <strong>17.69 billion US dollars</strong>, a <strong>13.02% increase</strong> from 2020.</li>
    <li>Benin economic growth for 2020 was <strong>15.65 billion US dollars</strong>, a <strong>8.75% increase</strong> from 2019.</li>
    </ul>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. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
    
  10. d

    Data release for Integrating physical and economic data into experimental...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Data release for Integrating physical and economic data into experimental water accounts for the United States: lessons and opportunities [Dataset]. https://catalog.data.gov/dataset/data-release-for-integrating-physical-and-economic-data-into-experimental-water-accounts-f
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States
    Description

    Water provides society with economic benefits that increasingly involve tradeoffs, making accounting for water quality, quantity, and their corresponding economic productivity more relevant in our interconnected world. In the past, physical and economic data about water have been fragmented, but integration is becoming more widely adopted internationally through application of the System of Environmental-Economic Accounts for Water (SEEA-Water), which enables the tracking of linkages between water and the economy over time and across scales. In this paper, we present the first national and subnational SEEA-Water accounts for the United States. We compile accounts for: (1) physical supply and use of water, (2) water productivity, (3) water quality, and (4) water emissions. These cover state and national levels for roughly the years 2000 to 2015. The results illustrate broad aggregate trends as well as subnational or industry-level phenomena. Specifically, the accounts show that total U.S. water use declined by 22% from 2000 to 2015, continuing a national trend seen since 1980. Total water use fell in 44 states, though groundwater use increased in 21 states. Nationally, a larger percent of water use comes from groundwater than at any time since 1950. Reductions in water use, combined with economic growth, lead to increases in water productivity for the entire national economy (65%), mining (99%), and agriculture (68%), though substantial variation occurred among states. Surface-water quality trends for the years 2002 to 2012 were most evident at regional levels, and differ by water-quality constituent and region. Chloride, nitrate, and total dissolved solids levels in groundwater had more consistent and widespread water-quality declines nationally. This work provides a baseline of recent historical water resource trends and their value in the U.S., as well as roadmap for the completion of future accounts for water, a critical ecosystem service. Our work also aids in the interpretation of ecosystem accounts in the context of long-term trends in U.S. water resources.

  11. United States Avg Weekly Earnings: sa: Mfg: NG: Bakeries & Tortilla Mfg: NG

    • ceicdata.com
    Updated Aug 4, 2021
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    CEICdata.com (2021). United States Avg Weekly Earnings: sa: Mfg: NG: Bakeries & Tortilla Mfg: NG [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-seasonally-adjusted/avg-weekly-earnings-sa-mfg-ng-bakeries--tortilla-mfg-ng
    Explore at:
    Dataset updated
    Aug 4, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: sa: Mfg: NG: Bakeries & Tortilla Mfg: NG data was reported at 688.320 USD in May 2018. This records a decrease from the previous number of 697.880 USD for Apr 2018. United States Avg Weekly Earnings: sa: Mfg: NG: Bakeries & Tortilla Mfg: NG data is updated monthly, averaging 616.350 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 697.880 USD in Apr 2018 and a record low of 547.710 USD in Mar 2006. United States Avg Weekly Earnings: sa: Mfg: NG: Bakeries & Tortilla Mfg: NG data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G033: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Seasonally Adjusted.

  12. United States Avg Weekly Earnings: IF: Telecommunications Reseller

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Avg Weekly Earnings: IF: Telecommunications Reseller [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings/avg-weekly-earnings-if-telecommunications-reseller
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: IF: Telecommunications Reseller data was reported at 1,213.730 USD in May 2018. This records a decrease from the previous number of 1,285.570 USD for Apr 2018. United States Avg Weekly Earnings: IF: Telecommunications Reseller data is updated monthly, averaging 1,132.910 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 1,375.530 USD in Oct 2011 and a record low of 973.530 USD in Apr 2009. United States Avg Weekly Earnings: IF: Telecommunications Reseller data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

  13. F

    Noncyclical Rate of Unemployment

    • fred.stlouisfed.org
    json
    Updated Mar 17, 2025
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    (2025). Noncyclical Rate of Unemployment [Dataset]. https://fred.stlouisfed.org/series/NROU
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    jsonAvailable download formats
    Dataset updated
    Mar 17, 2025
    License

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

    Description

    Graph and download economic data for Noncyclical Rate of Unemployment (NROU) from Q1 1949 to Q4 2035 about NAIRU, long-term, projection, unemployment, rate, and USA.

  14. F

    Government current expenditures: State and local: Economic affairs:...

    • fred.stlouisfed.org
    json
    Updated Dec 19, 2024
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    (2024). Government current expenditures: State and local: Economic affairs: Transportation: Transit and railroad [Dataset]. https://fred.stlouisfed.org/series/G160981A027NBEA
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    jsonAvailable download formats
    Dataset updated
    Dec 19, 2024
    License

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

    Description

    Graph and download economic data for Government current expenditures: State and local: Economic affairs: Transportation: Transit and railroad (G160981A027NBEA) from 1963 to 2023 about economic affairs, railroad, state & local, transportation, expenditures, government, GDP, and USA.

  15. F

    Current Account Debit: Trade: Total Imports of Goods for the United States...

    • fred.stlouisfed.org
    json
    Updated Apr 15, 2017
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    (2017). Current Account Debit: Trade: Total Imports of Goods for the United States (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/BPDBTD01USQ637N
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    jsonAvailable download formats
    Dataset updated
    Apr 15, 2017
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Current Account Debit: Trade: Total Imports of Goods for the United States (DISCONTINUED) (BPDBTD01USQ637N) from Q1 1960 to Q4 2013 about debit, current account, BOP, imports, trade, goods, and USA.

  16. F

    Government current expenditures: Income security: Disability

    • fred.stlouisfed.org
    json
    Updated Dec 19, 2024
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    Government current expenditures: Income security: Disability [Dataset]. https://fred.stlouisfed.org/series/G160351A027NBEA
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    jsonAvailable download formats
    Dataset updated
    Dec 19, 2024
    License

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

    Description

    Graph and download economic data for Government current expenditures: Income security: Disability (G160351A027NBEA) from 1959 to 2023 about disability, social assistance, expenditures, government, income, GDP, and USA.

  17. T

    Kosovo - Merchandise Imports By The Reporting Economy

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 4, 2017
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    TRADING ECONOMICS (2017). Kosovo - Merchandise Imports By The Reporting Economy [Dataset]. https://tradingeconomics.com/kosovo/merchandise-imports-by-the-reporting-economy-current-us$-wb-data.html
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jun 4, 2017
    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
    Kosovo
    Description

    Merchandise imports by the reporting economy (current US$) in Kosovo was reported at 6451164719 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kosovo - Merchandise imports by the reporting economy - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  18. N

    Economy, PA Population Breakdown by Gender and Age

    • neilsberg.com
    csv, json
    Updated Sep 14, 2023
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    Neilsberg Research (2023). Economy, PA Population Breakdown by Gender and Age [Dataset]. https://www.neilsberg.com/research/datasets/66716780-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 14, 2023
    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
    Economy, Pennsylvania
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Economy by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Economy. The dataset can be utilized to understand the population distribution of Economy by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Economy. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Economy.

    Key observations

    Largest age group (population): Male # 65-69 years (412) | Female # 60-64 years (490). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Content

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

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Economy population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Economy is shown in the following column.
    • Population (Female): The female population in the Economy is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Economy for each age group.

    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 Economy Population by Gender. You can refer the same here

  19. T

    Economic Policy Uncertainty : News-Based for the United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 29, 2025
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    TRADING ECONOMICS (2025). Economic Policy Uncertainty : News-Based for the United States [Dataset]. https://tradingeconomics.com/united-states/economic-policy-uncertainty-index-news-based-index-for-the-united-states-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Apr 29, 2025
    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
    United States
    Description

    Economic Policy Uncertainty : News-Based for the United States was 715.59055 Index in April of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty : News-Based for the United States reached a record high of 715.59055 in April of 2025 and a record low of 44.78275 in July of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty : News-Based for the United States - last updated from the United States Federal Reserve on May of 2025.

  20. United States Avg Weekly Earnings: sa: Mfg: NG:...

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Avg Weekly Earnings: sa: Mfg: NG: Cookies,Crackers,Pasta&Tortillas [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-seasonally-adjusted/avg-weekly-earnings-sa-mfg-ng-cookiescrackerspastatortillas
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: sa: Mfg: NG: Cookies,Crackers,Pasta&Tortillas data was reported at 832.400 USD in May 2018. This records a decrease from the previous number of 849.760 USD for Apr 2018. United States Avg Weekly Earnings: sa: Mfg: NG: Cookies,Crackers,Pasta&Tortillas data is updated monthly, averaging 701.090 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 865.080 USD in Aug 2017 and a record low of 549.070 USD in Jun 2007. United States Avg Weekly Earnings: sa: Mfg: NG: Cookies,Crackers,Pasta&Tortillas data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G033: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Seasonally Adjusted.

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Link copied
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CEICdata.com (2010). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
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United States US: GDP: Growth: Gross Value Added: Services

Explore at:
Dataset updated
Dec 15, 2010
Dataset provided by
CEIC Data
License

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

Time period covered
Dec 1, 2004 - Dec 1, 2015
Area covered
United States
Variables measured
Gross Domestic Product
Description

United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. 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.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

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