100+ datasets found
  1. U

    United States US: GDP: Growth: Gross Value Added: Services

    • ceicdata.com
    Updated Mar 15, 2009
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    CEICdata.com (2009). 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
    Mar 15, 2009
    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 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. R

    Russia Economic Activity Rate: NW: Republic of Karelia

    • ceicdata.com
    Updated Mar 15, 2024
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    CEICdata.com (2024). Russia Economic Activity Rate: NW: Republic of Karelia [Dataset]. https://www.ceicdata.com/en/russia/economic-activity-rate-by-region-annual/economic-activity-rate-nw-republic-of-karelia
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    Dataset updated
    Mar 15, 2024
    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 1, 2010 - Dec 1, 2021
    Area covered
    Russia
    Variables measured
    Labour Activity
    Description

    Economic Activity Rate: NW: Republic of Karelia data was reported at 57.700 % in 2024. This records a decrease from the previous number of 58.100 % for 2023. Economic Activity Rate: NW: Republic of Karelia data is updated yearly, averaging 67.000 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 69.300 % in 2008 and a record low of 57.100 % in 2022. Economic Activity Rate: NW: Republic of Karelia data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GB006: Economic Activity Rate: by Region: Annual.

  4. d

    State Financial Reports

    • catalog.data.gov
    • s.cnmilf.com
    • +3more
    Updated Sep 1, 2023
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    data.iowa.gov (2023). State Financial Reports [Dataset]. https://catalog.data.gov/dataset/state-financial-reports
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    Dataset updated
    Sep 1, 2023
    Dataset provided by
    data.iowa.gov
    Description

    The Comprehensive Annual Financial Reports are presented in three main sections; the Introductory Section, the Financial Section, and the Statistical Section. The Introductory Section includes a financial overview, discussion of Iowa's economy and an organizational chart for State government. The Financial Section includes the state auditor's report, management's discussion and analysis, audited basic financial statements and notes thereto, and the underlying combining and individual fund financial statements and supporting schedules. The Statistical Section sets forth selected unaudited economic, financial trend and demographic information for the state on a multi-year basis. Reports for multiple fiscal years are available.

  5. d

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

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
    + more versions
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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.

  6. w

    DCMS Sectors Economic Estimates: Regional GVA 2023

    • gov.uk
    Updated Jul 3, 2025
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    Department for Culture, Media and Sport (2025). DCMS Sectors Economic Estimates: Regional GVA 2023 [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-regional-gva-2023
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    Dataset updated
    Jul 3, 2025
    Dataset provided by
    GOV.UK
    Authors
    Department for Culture, Media and Sport
    Description

    Headline findings

    • Our annual GVA 2023 provisional statistics estimated that GVA by DCMS sectors was £220.3 billion in 2023, 9.3% of the UK economy. The part generated from creative industries, culture, gambling and sport was £150.2 billion, making up 6.3% of UK GVA. This publication shows how that GVA is distributed by region. Tourism and civil society are not included in this release due to data availability.
    • London and the South East combined generated the majority of included DCMS sector GVA in 2023, generating 46.3% and 16.0% respectively. This pattern is driven by the creative industries, the largest included sector, and the overlapping cultural sector, which are heavily concentrated in London. In the gambling and sport sectors, regional differences are less pronounced.
    • Included DCMS sector GVA fell in all regions between 2022 and 2023.
    • Compared to 2019 (pre-pandemic), included DCMS sector GVA overall in 2023 was similar but this varies substantially by region.

    About

    These Economic Estimates are Official Statistics used to provide an estimate of the contribution of DCMS sectors to each region in the UK, measured by GVA (gross value added). This is the first release of provisional regional estimates for 2023. This release contains some revisions to the back series.

    Content

    These statistics cover the contributions of the following sectors to the UK economy:

    • creative industries
    • cultural sector
    • gambling
    • sport

    Users should note that there is overlap between DCMS sector definitions and that several cultural sector industries are simultaneously creative industries.

    The release also includes estimates for the audio visual sector, computer games subsector and arts and antiques market.

    Estimates of tourism and civil society GVA are not available at present, due to a lack of regional data.

    Released

    These statistics were first published on 3 July 2025.

    Feedback

    DCMS aims to continuously improve the quality of estimates and better meet user needs. Feedback should be sent to DCMS via email at evidence@dcms.gov.uk.

    Office for Statistics Regulation

    These official statistics were independently reviewed by the Office for Statistics Regulation (OSR) in June 2019. They comply with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics and should be labelled accredited official statistics. Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007.

    Our statistical practice is regulated by the OSR. OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to.

    You are welcome to contact us directly with any comments about how we meet these standards by emailing evidence@dcms.gov.uk. Alternatively, you can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.

    The responsible analyst for this release is Rachel Moyce. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@dcms.gov.uk.

    Pre-release access

    The accompanying pre-release access document lists ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.

  7. G

    Georgia GDP Index: GVA: Agriculture, Forestry and Fishing

    • ceicdata.com
    Updated Jun 15, 2021
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    CEICdata.com (2021). Georgia GDP Index: GVA: Agriculture, Forestry and Fishing [Dataset]. https://www.ceicdata.com/en/georgia/gdp-by-industry-index-same-quarter-previous-year100/gdp-index-gva-agriculture-forestry-and-fishing
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    Dataset updated
    Jun 15, 2021
    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
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Georgia, Georgia
    Variables measured
    Gross Domestic Product
    Description

    Georgia GDP Index: GVA: Agriculture, Forestry and Fishing data was reported at 97.452 Same Qtr PY=100 in Jun 2018. This records an increase from the previous number of 96.243 Same Qtr PY=100 for Mar 2018. Georgia GDP Index: GVA: Agriculture, Forestry and Fishing data is updated quarterly, averaging 99.443 Same Qtr PY=100 from Mar 1998 (Median) to Jun 2018, with 82 observations. The data reached an all-time high of 120.741 Same Qtr PY=100 in Sep 2007 and a record low of 78.806 Same Qtr PY=100 in Sep 2006. Georgia GDP Index: GVA: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.A017: GDP: by Industry: Index: Same Quarter Previous Year=100.

  8. U.S. value added to GDP 2024, by industry

    • statista.com
    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.

  9. Share of economic sectors in the GDP in the Bahamas 2023

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Share of economic sectors in the GDP in the Bahamas 2023 [Dataset]. https://www.statista.com/statistics/578622/share-of-economic-sectors-in-the-gdp-in-the-bahamas/
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    The Bahamas, North America
    Description

    This statistic shows the share of economic sectors in the gross domestic product (GDP) in the Bahamas from 2013 to 2023. In 2023, the share of agriculture in the gross domestic product of the Bahamas was 0.45 percent, industry contributed approximately 8.79 percent and the services sector contributed about 80.84 percent.

  10. N

    Economy, PA Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Economy, PA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Economy from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/economy-pa-population-by-year/
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    json, csvAvailable download formats
    Dataset updated
    Jul 30, 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
    Economy, Pennsylvania
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. 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 Economy population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Economy across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Economy was 8,962, a 0.18% decrease year-by-year from 2022. Previously, in 2022, Economy population was 8,978, a decline of 0.74% compared to a population of 9,045 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Economy decreased by 452. In this period, the peak population was 9,414 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Economy is shown in this column.
    • Year on Year Change: This column displays the change in Economy population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Year. You can refer the same here

  11. o

    Replication data for: Replication in Labor Economics: Evidence from Data,...

    • openicpsr.org
    Updated May 1, 2017
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    Daniel S. Hamermesh (2017). Replication data for: Replication in Labor Economics: Evidence from Data, and What It Suggests [Dataset]. http://doi.org/10.3886/E113534V1
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    Dataset updated
    May 1, 2017
    Dataset provided by
    American Economic Association
    Authors
    Daniel S. Hamermesh
    Description

    Examining the most heavily cited publications in labor economics from the early 1990s, I show that few of over 3,000 articles, citing them directly, replicates them. They are replicated more frequently using data from other time periods and economies, so that the validity of their central ideas has typically been verified. This pattern of scholarship suggests, beyond the currently required depositing of data and code upon publication, that there is little need for formal mechanisms for replication. The market for scholarship already produces replications of non-laboratory applied research.

  12. e

    Annual Abstract of Statistics

    • data.europa.eu
    • data.wu.ac.at
    html
    Updated Feb 1, 2001
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    Office for National Statistics (2001). Annual Abstract of Statistics [Dataset]. https://data.europa.eu/data/datasets/annual_abstract_of_statistics
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    htmlAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    Office for National Statistics
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Contains statistics on the UK's economy, industry, society and demography presented in easy to read tables and backed up with explanatory notes and definitions. It covers, among others, the following areas: area; parliamentary elections; defence; population and vital statistics; education; labour market; expenditure and wealth; health; crime and justice; lifestyles; environment, housing; transport and communications; government finance; agriculture, fisheries and food; production; banking and insurance and service industry.

    Source agency: Office for National Statistics

    Designation: National Statistics

    Language: English

    Alternative title: AA

  13. g

    Development Economics Data Group - Claims on other sectors of the domestic...

    • gimi9.com
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    Development Economics Data Group - Claims on other sectors of the domestic economy (% of GDP) | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_wb_wdi_fs_ast_domo_gd_zs/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Claims on other sectors of the domestic economy include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.

  14. County Business Patterns

    • data.wu.ac.at
    html
    Updated Apr 21, 2016
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    Department of Commerce (2016). County Business Patterns [Dataset]. https://data.wu.ac.at/schema/data_gov/NjVlYjliNmEtNDFhZi00MTY3LTlkNzAtMjViZWQ5ODNkYWJm
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Apr 21, 2016
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    ZIP Code Business Patterns (ZBP)

    County Business Patterns (CBP) is an annual series that provides subnational economic data by industry. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. This data is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning.

  15. w

    Economic Estimates: Employment January 2024 to December 2024 for DCMS...

    • gov.uk
    Updated Aug 14, 2025
    + more versions
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    Department for Culture, Media and Sport (2025). Economic Estimates: Employment January 2024 to December 2024 for DCMS Sectors [Dataset]. https://www.gov.uk/government/statistics/economic-estimates-employment-january-2024-to-december-2024-for-dcms-sectors
    Explore at:
    Dataset updated
    Aug 14, 2025
    Dataset provided by
    GOV.UK
    Authors
    Department for Culture, Media and Sport
    Description

    About

    These economic estimates are used to provide an estimate of the contribution of DCMS sectors to the UK economy, measured by employment (number of filled jobs). These estimates are calculated based on the Office for National Statistics (ONS) Annual Population Survey (APS).

    Notice on Accreditation:

    The statistics in this series (including this release) will be classed as official statistics in development until further review. On 4 August 2025, the Office for Statistics Regulation (OSR) https://osr.statisticsauthority.gov.uk/correspondence/ed-humpherson-to-sarah-alloway-lasher-suspension-of-official-statistics-accreditation/" class="govuk-link">temporarily suspended the accreditation from this employment series, at https://osr.statisticsauthority.gov.uk/correspondence/sarah-alloway-lasher-to-ed-humpherson-suspension-of-official-statistics-accreditation/" class="govuk-link">our request, following ONS https://osr.statisticsauthority.gov.uk/correspondence/michael-keoghan-to-siobhan-tuohy-smith-request-to-suspend-aps-accreditation/" class="govuk-link">reporting concerns with the quality of estimates for smaller segments of the APS population, which the DCMS Sector Economic Estimates: Employment series depends on.

    Due to ongoing challenges with response rates, response levels and weighting, the accreditation of ONS statistics based on Annual Population Survey (APS) was https://osr.statisticsauthority.gov.uk/correspondence/michael-keoghan-to-siobhan-tuohy-smith-request-to-suspend-aps-accreditation/" class="govuk-link">temporarily suspended on 9 October 2024. Because of the increased volatility of both Labour Force Survey (LFS) and APS estimates, the ONS advises that estimates produced using these datasets should be treated with additional caution. ONS statistics based on both the APS and LFS will be considered official statistics in development until further review.

    Following the ONS reporting concerns regarding the quality of the APS estimates, particularly for smaller segments of the population, we conducted analysis to understand the quality of DCMS employment estimates. Consequently, we have concerns regarding increased volatility due to low APS sample sizes and its impact on the reliability and quality of our estimates. The statistics in this series will be classified as official statistics in development until further review. Previous releases in the series have been classified as accredited official statistics, meaning that they have been independently assessed by the OSR as complying with the standards of trustworthiness, quality and value in the Code of Practice for Statistics.

    Content

    DCMS Sectors

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • civil society
    • creative industries
    • cultural sector
    • gambling
    • sport
    • tourism

    Tourism estimates are available up to 2023 only due to data availability. We have made some revisions to employment estimates for the tourism sector and DCMS sectors overall for the years 2016 to 2019, following revisions made by the ONS to the underlying https://www.ons.gov.uk/economy/nationalaccounts/satelliteaccounts/datasets/uktourismsatelliteaccounttsatables" class="govuk-link">Tourism Satellite Account data.

    The release also includes estimates for the audio visual sector, computer games sector and art and antiques market.

    Users should note that there is overlap between DCMS sector definitions. In particular, several cultural sector industries are simultaneously creative industries.

    A definition for each sector is available in the tables published alongside this release. Further information on all these sectors is available in the associated technical report along with details of methods and data limitations.

    Alongside these calendar year employment estimates, we would usually publish APS earnings estimates to provide detailed demographic information about earnings in DCMS sectors. Due to ongoing challenges with the quality of APS data, we have not published these estimates in this release. We will explore producing these estimates in future as the quality of APS data improves.

    Headline findings

    Estimates of the number of filled jobs in the included DCMS sectors in 2024 show that:

    • There were 4.0 million total filled jobs in the included DCMS sectors in 2024, representing 11.7% of UK total filled jobs. Tourism data is available up to 2023 and provisional estimates show that there were 4.9 million filled jobs in DCMS sectors overall (incl tourism) in 2023, 14.4% of

  16. Share of economic sectors in the GDP in Portugal 2012-2023

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Share of economic sectors in the GDP in Portugal 2012-2023 [Dataset]. https://www.statista.com/statistics/372187/share-of-economic-sectors-in-the-gdp-in-portugal/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Portugal
    Description

    This statistic shows the share of economic sectors in gross domestic product (GDP) in Portugal from 2013 to 2023. In 2023, the share of agriculture in Portugal's gross domestic product was 2.12 percent, industry contributed approximately 18.15 percent and the services sector contributed about 66.76 percent.

  17. Forecasts for the UK economy: November 2022

    • gov.uk
    • s3.amazonaws.com
    Updated Nov 16, 2022
    + more versions
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    HM Treasury (2022). Forecasts for the UK economy: November 2022 [Dataset]. https://www.gov.uk/government/statistics/forecasts-for-the-uk-economy-november-2022
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    Dataset updated
    Nov 16, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Treasury
    Area covered
    United Kingdom
    Description

    Forecasts for the UK economy is a monthly comparison of independent forecasts.

    Please note that this is a summary of published material reflecting the views of the forecasting organisations themselves and does not in any way provide new information on the Treasury’s own views. It contains only a selection of forecasters, which is subject to review.

    No significance should be attached to the inclusion or exclusion of any particular forecasting organisation. HM Treasury accepts no responsibility for the accuracy of material published in this comparison.

    This month’s edition of the forecast comparison contains short-term forecasts for 2022 and 2023.

  18. Ontario public library statistics (Population group 100,001 to 250,000)

    • open.canada.ca
    • beta.data.urbandatacentre.ca
    html, xlsx
    Updated Jun 25, 2025
    + more versions
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    Government of Ontario (2025). Ontario public library statistics (Population group 100,001 to 250,000) [Dataset]. https://open.canada.ca/data/dataset/7f29eaa0-f816-4b16-878a-5d9c6bd335f7
    Explore at:
    xlsx, htmlAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2022 - Dec 31, 2023
    Area covered
    Ontario
    Description

    Categorized library statistical reports for the population group of 100,001 to 250,000.

  19. P

    Poland PL: Primary Completion Rate: Total: % of Relevant Age Group

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Poland PL: Primary Completion Rate: Total: % of Relevant Age Group [Dataset]. https://www.ceicdata.com/en/poland/education-statistics/pl-primary-completion-rate-total--of-relevant-age-group
    Explore at:
    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
    Dec 1, 2004 - Dec 1, 2016
    Area covered
    Poland
    Variables measured
    Education Statistics
    Description

    Poland PL: Primary Completion Rate: Total: % of Relevant Age Group data was reported at 100.163 % in 2016. This records an increase from the previous number of 98.755 % for 2015. Poland PL: Primary Completion Rate: Total: % of Relevant Age Group data is updated yearly, averaging 96.132 % from Dec 1971 (Median) to 2016, with 45 observations. The data reached an all-time high of 100.919 % in 1989 and a record low of 92.210 % in 1973. Poland PL: Primary Completion Rate: Total: % of Relevant Age Group data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank: Education Statistics. Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  20. Growth of the real gross domestic product (GDP) in Argentina 1980-2030

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). Growth of the real gross domestic product (GDP) in Argentina 1980-2030 [Dataset]. https://www.statista.com/statistics/314787/gross-domestic-product-gdp-growth-rate-in-argentina/
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Argentina
    Description

    In 2024, the growth of the real gross domestic product (GDP) in Argentina amounted to about -1.72 percent. Between 1980 and 2024, the figure dropped by approximately 2.42 percentage points, though the decline followed an uneven course rather than a steady trajectory. From 2024 to 2030, the growth will rise by around 4.69 percentage points, showing an overall upward trend with periodic ups and downs.This indicator describes the annual change in the gross domestic product at constant prices, expressed in national currency units. Here the gross domestic product represents the total value of the final goods and services produced during a year.

Share
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CEICdata.com (2009). 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

United States US: GDP: Growth: Gross Value Added: Services

Explore at:
Dataset updated
Mar 15, 2009
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 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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