100+ datasets found
  1. 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.

  2. 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
    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.

  3. 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
  4. Number of Norwegians that ski weekly 2024, by economic status

    • statista.com
    Updated Jun 11, 2025
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    Statista (2025). Number of Norwegians that ski weekly 2024, by economic status [Dataset]. https://www.statista.com/statistics/1608930/number-of-people-that-ski-once-a-week-by-economic-status-in-norway/
    Explore at:
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Norway
    Description

    In 2024, there ere about ** employed people per 1,000 inhabitants that enjoyed skiing once a week for more than three hours in Norway, while *** people skied for less than three hours weekly. About ** per capita of retired Norwegians skied weekly.

  5. U

    United States Premiums: SE: Manufacturing

    • ceicdata.com
    Updated Aug 14, 2019
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    CEICdata.com (2019). United States Premiums: SE: Manufacturing [Dataset]. https://www.ceicdata.com/en/united-states/single-employer-program-statistics/premiums-se-manufacturing
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    Dataset updated
    Aug 14, 2019
    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
    Sep 1, 2003 - Sep 1, 2014
    Area covered
    United States
    Description

    United States Premiums: SE: Manufacturing data was reported at 1,832,409.000 USD th in 2014. This records an increase from the previous number of 1,394,802.000 USD th for 2013. United States Premiums: SE: Manufacturing data is updated yearly, averaging 644,094.000 USD th from Sep 1996 (Median) to 2014, with 19 observations. The data reached an all-time high of 1,832,409.000 USD th in 2014 and a record low of 366,528.000 USD th in 2002. United States Premiums: SE: Manufacturing data remains active status in CEIC and is reported by Pension Benefit Guaranty Corporation. The data is categorized under Global Database’s USA – Table US.G078: Single Employer Program Statistics.

  6. W

    SPQ45 - Persons aged 15 years and over who are members of sports or fitness...

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    json-stat, px
    Updated Jun 20, 2019
    + more versions
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    Ireland (2019). SPQ45 - Persons aged 15 years and over who are members of sports or fitness clubs (%) by Membership, Quarter and Principal Economic Status [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/over-who-are-members-of-sports-or-fitness-clubs-by-membership-quarter-and-principal-economic-st
    Explore at:
    json-stat, pxAvailable download formats
    Dataset updated
    Jun 20, 2019
    Dataset provided by
    Ireland
    License

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

    Description

    Persons aged 15 years and over who are members of sports or fitness clubs (%) by Membership, Quarter and Principal Economic Status

    View data using web pages

    Download .px file (Software required)

  7. Bureau of Labor Statistics Unemployment and Inflation

    • redivis.com
    • columbia.redivis.com
    application/jsonl +7
    Updated Dec 14, 2020
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    Columbia Data Platform Demo (2020). Bureau of Labor Statistics Unemployment and Inflation [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
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    arrow, avro, csv, parquet, spss, application/jsonl, stata, sasAvailable download formats
    Dataset updated
    Dec 14, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Columbia Data Platform Demo
    Time period covered
    Jan 1, 1939 - Dec 31, 2020
    Description

    Abstract

    This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)

    Documentation

    Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics

  8. United States PDS: Specific Issues: Floating Rate Notes: Net Settled...

    • ceicdata.com
    Updated Dec 3, 2024
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    CEICdata.com (2024). United States PDS: Specific Issues: Floating Rate Notes: Net Settled Position: 2 Years [Dataset]. https://www.ceicdata.com/en/united-states/primary-dealer-statistics-specific-issues/pds-specific-issues-floating-rate-notes-net-settled-position-2-years
    Explore at:
    Dataset updated
    Dec 3, 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
    Dec 18, 2024 - Mar 5, 2025
    Area covered
    United States
    Description

    United States PDS: Specific Issues: Floating Rate Notes: Net Settled Position: 2 Years data was reported at 5.241 USD bn in 30 Apr 2025. This records an increase from the previous number of -1.061 USD bn for 23 Apr 2025. United States PDS: Specific Issues: Floating Rate Notes: Net Settled Position: 2 Years data is updated weekly, averaging 1.589 USD bn from Jan 2015 (Median) to 30 Apr 2025, with 539 observations. The data reached an all-time high of 8.684 USD bn in 30 Dec 2020 and a record low of -2.441 USD bn in 24 Aug 2022. United States PDS: Specific Issues: Floating Rate Notes: Net Settled Position: 2 Years data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.Z044: Primary Dealer Statistics: Specific Issues.

  9. F

    International Merchandise Trade Statistics: Imports: Commodities for Poland

    • fred.stlouisfed.org
    json
    Updated Aug 15, 2025
    + more versions
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    (2025). International Merchandise Trade Statistics: Imports: Commodities for Poland [Dataset]. https://fred.stlouisfed.org/series/POLXTIMVA01CXMLQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 15, 2025
    License

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

    Area covered
    Poland
    Description

    Graph and download economic data for International Merchandise Trade Statistics: Imports: Commodities for Poland (POLXTIMVA01CXMLQ) from Q1 1980 to Q1 2025 about Poland, trade, and imports.

  10. Titanic

    • kaggle.com
    zip
    Updated Apr 19, 2020
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    Davor Budimir (2020). Titanic [Dataset]. https://www.kaggle.com/davorbudimir/titanic
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    zip(485 bytes)Available download formats
    Dataset updated
    Apr 19, 2020
    Authors
    Davor Budimir
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner Titanic, summarized according to economic status (class), sex, age and survival.

  11. d

    ACS 5-Year Economic Characteristics DC Ward

    • opdatahub.dc.gov
    • catalog.data.gov
    Updated Mar 7, 2025
    + more versions
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    City of Washington, DC (2025). ACS 5-Year Economic Characteristics DC Ward [Dataset]. https://opdatahub.dc.gov/datasets/43e7da983bd24f8cbaceb6e654f0da3d
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    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: 2022 Wards (State Legislative Districts [Upper Chamber]). Current Vintage: 2019-2023. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

  12. U

    United States Avg Weekly Earnings: FA: All Other Financial Investment...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Avg Weekly Earnings: FA: All Other Financial Investment Activities [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings/avg-weekly-earnings-fa-all-other-financial-investment-activities
    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
    Oct 1, 2017 - Sep 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data was reported at 1,911.910 USD in Sep 2018. This records an increase from the previous number of 1,799.030 USD for Aug 2018. United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data is updated monthly, averaging 1,464.970 USD from Mar 2006 (Median) to Sep 2018, with 151 observations. The data reached an all-time high of 1,912.710 USD in Apr 2018 and a record low of 1,242.460 USD in Oct 2013. United States Avg Weekly Earnings: FA: All Other Financial Investment Activities 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.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

  13. 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
    Explore at:
    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
    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.

  14. a

    Sweden export data: Unveiling Swedish Economic Might

    • tr.abrams.wiki
    • ko.abrams.wiki
    • +4more
    Updated Aug 1, 2025
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    ABRAMS world trade wiki (2025). Sweden export data: Unveiling Swedish Economic Might [Dataset]. https://tr.abrams.wiki/global-trade-data/sweden-export-data
    Explore at:
    Dataset updated
    Aug 1, 2025
    Dataset authored and provided by
    ABRAMS world trade wiki
    License

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

    Time period covered
    2025
    Area covered
    Description

    Sweden export data: Discover how this Nordic powerhouse fuels economy via machinery, vehicles, pharmaceuticals, and paper exports.

  15. h

    Soy Sauce Balance Sheet and Consumption, 1874~1908: Estimates of long-term...

    • d-repo.ier.hit-u.ac.jp
    application/x-yaml +3
    Updated Feb 17, 2023
    + more versions
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    篠原, 三代平 (2023). Soy Sauce Balance Sheet and Consumption, 1874~1908: Estimates of long-term economic statistics of Japan Personal Consumption Expenditures Table 55 [Dataset]. https://d-repo.ier.hit-u.ac.jp/records/2019951
    Explore at:
    application/x-yaml, xlsx, text/x-shellscript, txtAvailable download formats
    Dataset updated
    Feb 17, 2023
    Authors
    篠原, 三代平
    Time period covered
    1874
    Area covered
    Japan, 日本
    Description

    Production, Exports, Domestic Supply, Domestic Supply: Waste, Domestic Supply: Net Food Supply, Domestic Supply: Net Food Supply: Household Production, Domestic Supply: Net Food Supply: Factory Production, Unit Prices for Household Production, Retail Prices, Value of Household Production, Value of Factory Production, Value of Consumption

  16. Data from: Economics of Resource and Environmental Project Management in the...

    • vanuatu-data.sprep.org
    • niue-data.sprep.org
    • +12more
    pdf
    Updated Feb 20, 2025
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    Secretariat of the Pacific Regional Environment Programme (2025). Economics of Resource and Environmental Project Management in the Pacific [Dataset]. https://vanuatu-data.sprep.org/dataset/economics-resource-and-environmental-project-management-pacific
    Explore at:
    pdf(7189164)Available download formats
    Dataset updated
    Feb 20, 2025
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    -218.3642578125 -7.3624668655357)), POLYGON ((-218.3642578125 -0.82027732487935, -124.1455078125 1.9917933540374, -133.52053642273 -25.694344510612, -198.20803642273 -29.024146371439, Pacific Region
    Description

    This report summarises key economic factors affecting the success of recent resource and environmental management projects in the Pacific.

  17. h

    Number of Gainful Workers by Sex and Age Groups(Japanese only, in the Mid of...

    • d-repo.ier.hit-u.ac.jp
    • jdcat.jsps.go.jp
    application/x-yaml +3
    Updated Mar 13, 2023
    + more versions
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    梅村, 又次; 赤坂, 敬子; 南, 亮進; 高松, 信清; 新居, 玄武; 伊藤, 繁 (2023). Number of Gainful Workers by Sex and Age Groups(Japanese only, in the Mid of the Year):Male, 1872~1920: Estimates of long-term economic statistics of Japan Manpower Table 5-1 [Dataset]. https://d-repo.ier.hit-u.ac.jp/records/2035742
    Explore at:
    xlsx, text/x-shellscript, application/x-yaml, txtAvailable download formats
    Dataset updated
    Mar 13, 2023
    Authors
    梅村, 又次; 赤坂, 敬子; 南, 亮進; 高松, 信清; 新居, 玄武; 伊藤, 繁
    Time period covered
    1872
    Area covered
    日本, Japan
    Description

    Male: Total, Male: 10-14 years old, Male: 15-19 years old, Male: 20-24 years old, Male: 25-29 years old, Male: 30-34 years old, Male: 35-39 years old, Male: 40-44 years old, Male: 45-49 years old, Male: 50-54 years old, Male: 55-59 years old, Male: 60 and over

  18. 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
    Explore at:
    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.

  19. United States Exports: Services: OB: TTR: MI: Abroad

    • ceicdata.com
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    CEICdata.com, United States Exports: Services: OB: TTR: MI: Abroad [Dataset]. https://www.ceicdata.com/en/united-states/trade-statistics-services-by-type/exports-services-ob-ttr-mi-abroad
    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
    Dec 1, 2006 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Services Trade
    Description

    United States Exports: Services: OB: TTR: MI: Abroad data was reported at 3.377 USD bn in 2016. This records a decrease from the previous number of 4.324 USD bn for 2015. United States Exports: Services: OB: TTR: MI: Abroad data is updated yearly, averaging 3.451 USD bn from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 4.324 USD bn in 2015 and a record low of 1.917 USD bn in 2006. United States Exports: Services: OB: TTR: MI: Abroad data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JA021: Trade Statistics: Services: By Type.

  20. U

    United States Avg Weekly Earnings: sa: RT: Meat, Fish & Seafood Market

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Avg Weekly Earnings: sa: RT: Meat, Fish & Seafood Market [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-seasonally-adjusted/avg-weekly-earnings-sa-rt-meat-fish--seafood-market
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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
    Jun 1, 2017 - May 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: sa: RT: Meat, Fish & Seafood Market data was reported at 488.560 USD in May 2018. This records an increase from the previous number of 484.900 USD for Apr 2018. United States Avg Weekly Earnings: sa: RT: Meat, Fish & Seafood Market data is updated monthly, averaging 423.130 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 518.680 USD in Mar 2015 and a record low of 394.940 USD in Jan 2014. United States Avg Weekly Earnings: sa: RT: Meat, Fish & Seafood Market 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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data.iowa.gov (2023). State Financial Reports [Dataset]. https://catalog.data.gov/dataset/state-financial-reports

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.

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