100+ datasets found
  1. t

    Guaranteed and Direct Loan Financing, Net Activity

    • fiscaldata.treasury.gov
    Updated Jul 13, 2020
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    (2020). Guaranteed and Direct Loan Financing, Net Activity [Dataset]. https://fiscaldata.treasury.gov/datasets/monthly-treasury-statement/
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    Dataset updated
    Jul 13, 2020
    Description

    This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government providing a detailed view of all direct and guaranteed loan financing for federal credit programs under the Credit Reform Act of 1990. Guaranteed loan financing is issuing any debt obligation with a guarantee, insurance, or other pledge that payment of all or a part of the principal or interest will be made to the lender. This table applies to lending to non-federal borrowers by non-federal lenders that carries some form of guarantee by the federal government. Exceptions include the insurance of deposits, shares, or other withdrawable accounts in financial institutions. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

  2. o

    Direct government payments to farmers

    • data.ontario.ca
    • ouvert.canada.ca
    • +1more
    xlsx
    Updated May 29, 2025
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    Agriculture, Food and Rural Affairs (2025). Direct government payments to farmers [Dataset]. https://data.ontario.ca/dataset/direct-government-payments-to-farmers
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    xlsx(200169)Available download formats
    Dataset updated
    May 29, 2025
    Dataset authored and provided by
    Agriculture, Food and Rural Affairs
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Time period covered
    May 29, 2025
    Area covered
    Ontario
    Description

    Get statistical data on direct government payments to farmers by the federal and provincial governments.

  3. w

    Websites using irs.gov Direct

    • webtechsurvey.com
    csv
    Updated Jan 13, 2025
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    WebTechSurvey (2025). Websites using irs.gov Direct [Dataset]. https://webtechsurvey.com/technology/irs.gov-direct
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    csvAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the irs.gov Direct technology, compiled through global website indexing conducted by WebTechSurvey.

  4. d

    Government Direct (Indirect) Control List of Personnel, Finance, or Business...

    • data.gov.tw
    csv
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    Ministry of Civil Service (2025). Government Direct (Indirect) Control List of Personnel, Finance, or Business for Investment or Reinvestment [Dataset]. https://data.gov.tw/en/datasets/165831
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    csvAvailable download formats
    Dataset authored and provided by
    Ministry of Civil Service
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Organize the information provided by various supervisory authorities and publicly announce the investment situation of government-subsidized foundations or government and affiliated business/non-business funds for external inquiries.

  5. By Direct Reimbursable Funding Source

    • catalog.data.gov
    • datasets.ai
    Updated May 20, 2022
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    U.S. Environmental Protection Agency (2022). By Direct Reimbursable Funding Source [Dataset]. https://catalog.data.gov/dataset/by-direct-reimbursable-funding-source
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    Dataset updated
    May 20, 2022
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Holds an attribute flag which specifies that the funding source of the associated data value is either a Direct or Reimbursable Funding Source.

  6. Direct effects of illustrative tax changes

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 24, 2025
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    HM Revenue & Customs (2025). Direct effects of illustrative tax changes [Dataset]. https://www.gov.uk/government/statistics/direct-effects-of-illustrative-tax-changes
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    Dataset updated
    Jun 24, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    This table is a ‘ready reckoner’ showing estimates of the effects of illustrative tax changes on tax receipts from 2026 to 2027, 2027 to 2028, and 2028 to 2029, based on an April 2026 implementation. All estimates show the impacts of the various illustrative changes on top of what is already assumed in the indexed baseline i.e. generally revalorisation plus any rates and allowances announced previously up to and including the Spring Statement 2025.

    Archived copies of this publication can be found https://webarchive.nationalarchives.gov.uk/ukgwa/timeline/https:/www.gov.uk/government/statistics/direct-effects-of-illustrative-tax-changes" class="govuk-link">in The National Archives.

  7. B

    Brazil Direct Treasury Balance: Stock: Government Bond: % Share: Financial...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Direct Treasury Balance: Stock: Government Bond: % Share: Financial Treasury Bills [Dataset]. https://www.ceicdata.com/en/brazil/treasury-direct-program-stock-by-securities-percentage-share/direct-treasury-balance-stock-government-bond--share-financial-treasury-bills
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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
    May 1, 2018 - Apr 1, 2019
    Area covered
    Brazil
    Variables measured
    Treasury Account
    Description

    Brazil Direct Treasury Balance: Stock: Government Bond: % Share: Financial Treasury Bills data was reported at 29.182 % in Apr 2019. This records an increase from the previous number of 28.710 % for Mar 2019. Brazil Direct Treasury Balance: Stock: Government Bond: % Share: Financial Treasury Bills data is updated monthly, averaging 19.051 % from Jan 2004 (Median) to Apr 2019, with 184 observations. The data reached an all-time high of 29.182 % in Apr 2019 and a record low of 8.074 % in Mar 2013. Brazil Direct Treasury Balance: Stock: Government Bond: % Share: Financial Treasury Bills data remains active status in CEIC and is reported by National Treasury Secretariat. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FC034: Treasury Direct Program: Stock: by Securities: Percentage Share. This data is part of the Balance of Treasury Direct. Displays information on the Treasury Direct program. On balance it is possible to see statistics about sales, buybacks, evolution and stock listing, number of registered investors and more profitable titles in the month.

  8. t

    Treasury Report on Receivables Full Data

    • fiscaldata.treasury.gov
    Updated Apr 1, 2021
    + more versions
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    (2021). Treasury Report on Receivables Full Data [Dataset]. https://fiscaldata.treasury.gov/datasets/treasury-report-on-receivables/
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    Dataset updated
    Apr 1, 2021
    Description

    The Treasury Report on Receivables and Debt Collection Activities (TROR) is the federal government's primary means for collecting data on the status of non-tax receivables (delinquent and non-delinquent debt) owed to the United States. This report provides summary data on the value of receivables owed to the Federal government, the portion of those receivables that are delinquent, and efforts to collect or write off delinquent debt.

    Receivables are categorized as being either current or delinquent. Delinquent receivables are also referred to as delinquent debt. Receivables are also categorized by type of receivable: Administrative Receivables, Direct Loans, and Defaulted Guaranteed Loans. Administrative Receivables are non-loan receivables, including fines, payments, and overpayments. Direct Loans and Defaulted Guaranteed Loans are federal loan receivables.

    Generally, Federal creditor agencies assess interest on outstanding loan receivables. Federal creditor agencies are also generally required to assess interest, penalties, and administrative costs when receivables become delinquent. The rate of interest is generally governed by 31 U.S.C. Section 3717 and published by the Department of the Treasury.

    Collections are not always mutually exclusive. The amount and count of collections are recorded for each tool or technique that is used to collect funds.

  9. n

    Direct Appropriation Awards

    • data.nashville.gov
    • datanashvillegov-nashville.hub.arcgis.com
    Updated Aug 22, 2022
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    Nashville GIS (2022). Direct Appropriation Awards [Dataset]. https://data.nashville.gov/datasets/direct-appropriation-awards
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    Dataset updated
    Aug 22, 2022
    Dataset authored and provided by
    Nashville GIS
    Description

    This dataset contains all the agencies that are awarded Direct Appropriation funds by the Metropolitan Government for the year ended June 30, 2009 to current. This dataset is updated annually.Source Link: https://www.nashville.gov/departments/finance/grants-and-accountability/grants/direct-appropriation-resourcesMetadata Document: Direct-Appropriations-Awards-Metadata.pdfContact Data Owner: opendata@nashville.gov

  10. a

    US Federal Government Basemap

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 29, 2018
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    suggsjm_state_hiu (2018). US Federal Government Basemap [Dataset]. https://hub.arcgis.com/maps/338c566f66ca407d9bfd1353ebd1fe63
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    Dataset updated
    Mar 29, 2018
    Dataset authored and provided by
    suggsjm_state_hiu
    Area covered
    United States,
    Description

    Contains:World HillshadeWorld Street Map (with Relief) - Base LayerLarge Scale International Boundaries (v11.3)World Street Map (with Relief) - LabelsDoS Country Labels DoS Country LabelsCountry (admin 0) labels that have been vetted for compliance with foreign policy and legal requirements. These labels are part of the US Federal Government Basemap, which contains the borders and place names that have been vetted for compliance with foreign policy and legal requirements.Source: DoS Country Labels - Overview (arcgis.com)Large Scale International BoundariesVersion 11.3Release Date: December 19, 2023DownloadFor more information on the LSIB click here: https://geodata.state.gov/ A direct link to the data is available here: https://data.geodata.state.gov/LSIB.zipAn ISO-compliant version of the LSIB metadata (in ISO 19139 format) is here: https://geodata.state.gov/geonetwork/srv/eng/catalog.search#/metadata/3bdb81a0-c1b9-439a-a0b1-85dac30c59b2 Direct inquiries to internationalboundaries@state.govOverviewThe Office of the Geographer and Global Issues at the U.S. Department of State produces the Large Scale International Boundaries (LSIB) dataset. The current edition is version 11.3 (published 19 December 2023). The 11.3 release contains updates to boundary lines and data refinements enabling reuse of the dataset. These data and generalized derivatives are the only international boundary lines approved for U.S. Government use. The contents of this dataset reflect U.S. Government policy on international boundary alignment, political recognition, and dispute status. They do not necessarily reflect de facto limits of control.National Geospatial Data AssetThis dataset is a National Geospatial Data Asset managed by the Department of State on behalf of the Federal Geographic Data Committee's International Boundaries Theme.DetailsSources for these data include treaties, relevant maps, and data from boundary commissions and national mapping agencies. Where available and applicable, the dataset incorporates information from courts, tribunals, and international arbitrations. The research and recovery process involves analysis of satellite imagery and elevation data. Due to the limitations of source materials and processing techniques, most lines are within 100 meters of their true position on the ground.Attribute StructureThe dataset uses thefollowing attributes:Attribute NameCC1COUNTRY1CC2COUNTRY2RANKSTATUSLABELNOTES These attributes are logically linked:Linked AttributesCC1COUNTRY1CC2COUNTRY2RANKSTATUS These attributes have external sources:Attribute NameExternal Data SourceCC1GENCCOUNTRY1DoS ListsCC2GENCCOUNTRY2DoS ListsThe eight attributes listed above describe the boundary lines contained within the LSIB dataset in both a human and machine-readable fashion. Other attributes in the release include "FID", "Shape", and "Shape_Leng" are components of the shapefile format and do not form an intrinsic part of the LSIB."CC1" and "CC2" fields are machine readable fields which contain political entity codes. These codes are derived from the Geopolitical Entities, Names, and Codes Standard (GENC) Edition 3 Update 18. The dataset uses the GENC two-character codes. The code ‘Q2’, which is not in GENC, denotes a line in the LSIB representing a boundary associated with an area not contained within the GENC standard.The "COUNTRY1" and "COUNTRY2" fields contain human-readable text corresponding to the name of the political entity. These names are names approved by the U.S. Board on Geographic Names (BGN) as incorporated in the list of Independent States in the World and the list of Dependencies and Areas of Special Sovereignty maintained by the Department of State. To ensure the greatest compatibility, names are presented without diacritics and certain names are rendered using commonly accepted cartographic abbreviations. Names for lines associated with the code ‘Q2’ are descriptive and are not necessarily BGN-approved. Names rendered in all CAPITAL LETTERS are names of independent states. Other names are those associated with dependencies, areas of special sovereignty, or are otherwise presented for the convenience of the user.The following fields are an intrinsic part of the LSIB dataset and do not rely on external sources:Attribute NameMandatoryContains NullsRANKYesNoSTATUSYesNoLABELNoYesNOTESNoYesNeither the "RANK" nor "STATUS" field contains null values; the "LABEL" and "NOTES" fields do.The "RANK" field is a numeric, machine-readable expression of the "STATUS" field. Collectively, these fields encode the views of the United States Government on the political status of the boundary line.Attribute NameValueRANK123STATUSInternational BoundaryOther Line of International Separation Special Line A value of "1" in the "RANK" field corresponds to an "International Boundary" value in the "STATUS" field. Values of "2" and "3" correspond to "Other Line of International Separation" and "Special Line", respectively.The "LABEL" field contains required text necessarily to describe the line segment. The "LABEL" field is used when the line segment is displayed on maps or other forms of cartographic visualizations. This includes most interactive products. The requirement to incorporate the contents of the "LABEL" field on these products is scale dependent. If a label is legible at the scale of a given static product a proper use of this dataset would encourage the application of that label. Using the contents of the "COUNTRY1" and "COUNTRY2" fields in the generation of a line segment label is not required. The "STATUS" field is not a line labeling field but does contain the preferred description for the three LSIB line types when lines are incorporated into a map legend. Using the "CC1", "CC2", or "RANK" fields for labeling purposes is prohibited.The "NOTES" field contains an explanation of any applicable special circumstances modifying the lines. This information can pertain to the origins of the boundary lines, any limitations regarding the purpose of the lines, or the original source of the line. Use of the "NOTES" field for labeling purposes is prohibited.External Data SourcesGeopolitical Entities, Names, and Codes Registry: https://nsgreg.nga.mil/GENC-overview.jspU.S. Department of State List of Independent States in the World: https://www.state.gov/independent-states-in-the-world/U.S. Department of State List of Dependencies and Areas of Special Sovereignty: https://www.state.gov/dependencies-and-areas-of-special-sovereignty/The source for the U.S.—Canada international boundary (NGDAID97) is the International Boundary Commission: https://www.internationalboundarycommission.org/en/maps-coordinates/coordinates.phpThe source for the “International Boundary between the United States of America and the United States of Mexico” (NGDAID82) is the International Boundary and Water Commission: https://catalog.data.gov/dataset?q=usibwcCartographic UsageCartographic usage of the LSIB requires a visual differentiation between the three categories of boundaries. Specifically, this differentiation must be between:- International Boundaries (Rank 1);- Other Lines of International Separation (Rank 2); and- Special Lines (Rank 3).Rank 1 lines must be the most visually prominent. Rank 2 lines must be less visually prominent than Rank 1 lines. Rank 3 lines must be shown in a manner visually subordinate to Ranks 1 and 2. Where scale permits, Rank 2 and 3 lines must be labeled in accordance with the “Label” field. Data marked with a Rank 2 or 3 designation does not necessarily correspond to a disputed boundary.Additional cartographic information can be found in Guidance Bulletins (https://hiu.state.gov/data/cartographic_guidance_bulletins/) published by the Office of the Geographer and Global Issues.ContactDirect inquiries to internationalboundaries@state.gov.CreditsThe lines in the LSIB dataset are the product of decades of collaboration between geographers at the Department of State and the National Geospatial-Intelligence Agency with contributions from the Central Intelligence Agency and the UK Defence Geographic Centre.Attribution is welcome: U.S. Department of State, Office of the Geographer and Global Issues.Changes from Prior ReleaseThe 11.3 release is the third update in the version 11 series.This version of the LSIB contains changes and accuracy refinements for the following line segments. These changes reflect improvements in spatial accuracy derived from newly available source materials, an ongoing review process, or the publication of new treaties or agreements. Notable changes to lines include:• AFGHANISTAN / IRAN• ALBANIA / GREECE• ALBANIA / KOSOVO• ALBANIA/MONTENEGRO• ALBANIA / NORTH MACEDONIA• ALGERIA / MOROCCO• ARGENTINA / BOLIVIA• ARGENTINA / CHILE• BELARUS / POLAND• BOLIVIA / PARAGUAY• BRAZIL / GUYANA• BRAZIL / VENEZUELA• BRAZIL / French Guiana (FR.)• BRAZIL / SURINAME• CAMBODIA / LAOS• CAMBODIA / VIETNAM• CAMEROON / CHAD• CAMEROON / NIGERIA• CHINA / INDIA• CHINA / NORTH KOREA• CHINA / Aksai Chin• COLOMBIA / VENEZUELA• CONGO, DEM. REP. OF THE / UGANDA• CZECHIA / GERMANY• EGYPT / LIBYA• ESTONIA / RUSSIA• French Guiana (FR.) / SURINAME• GREECE / NORTH MACEDONIA• GUYANA / VENEZUELA• INDIA / Aksai Chin• KAZAKHSTAN / RUSSIA• KOSOVO / MONTENEGRO• KOSOVO / SERBIA• LAOS / VIETNAM• LATVIA / LITHUANIA• MEXICO / UNITED STATES• MONTENEGRO / SERBIA• MOROCCO / SPAIN• POLAND / RUSSIA• ROMANIA / UKRAINEVersions 11.0 and 11.1 were updates to boundary lines. Like this version, they also contained topology fixes, land boundary terminus refinements, and tripoint adjustments. Version 11.2 corrected a few errors in the attribute data and ensured that CC1 and CC2 attributes are in alignment with an updated version of the Geopolitical Entities, Names, and Codes (GENC) Standard, specifically Edition 3 Update 17.LayersLarge_Scale_International_BoundariesTerms of

  11. Canada CA: General Government: Direct Taxes

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Canada CA: General Government: Direct Taxes [Dataset]. https://www.ceicdata.com/en/canada/government-accounts-general-government-forecast-oecd-member-annual/ca-general-government-direct-taxes
    Explore at:
    Dataset updated
    Jan 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
    Dec 1, 2015 - Dec 1, 2026
    Area covered
    Canada
    Variables measured
    Balance of Payment
    Description

    Canada CA: General Government: Direct Taxes data was reported at 590.735 CAD bn in 2026. This records an increase from the previous number of 566.503 CAD bn for 2025. Canada CA: General Government: Direct Taxes data is updated yearly, averaging 164.315 CAD bn from Dec 1970 (Median) to 2026, with 57 observations. The data reached an all-time high of 590.735 CAD bn in 2026 and a record low of 12.399 CAD bn in 1970. Canada CA: General Government: Direct Taxes data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.EO: Government Accounts: General Government: Forecast: OECD Member: Annual. TY - Total direct taxes received by general governmentData refer to the general government sector, which is a consolidation of accounts for the central, state and local government plus social security

  12. O

    Campaign Finance - Direct Campaign Expenditures

    • data.austintexas.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Aug 1, 2025
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    City of Austin, Texas - data.austintexas.gov (2025). Campaign Finance - Direct Campaign Expenditures [Dataset]. https://data.austintexas.gov/City-Government/Campaign-Finance-Direct-Campaign-Expenditures/8p2b-ewep
    Explore at:
    xml, tsv, csv, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

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

    Description

    Direct Campaign Expenditures

  13. Federal Funds

    • agdatacommons.nal.usda.gov
    • datasets.ai
    • +1more
    bin
    Updated Apr 23, 2025
    + more versions
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    USDA Economic Research Service (2025). Federal Funds [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Federal_Funds/25696377
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    binAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    USDA Economic Research Service
    License

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

    Description

    Note: Updates to this data product are discontinued. The underlying data are no longer available. The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. ERS screens the data for each Federal program for accuracy at the county level and then presents the data by function and type of program for each county and State. See the complete data documentation for details.

    Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ZIP file of Excel files For complete information, please visit https://data.gov.

  14. d

    Hawaii International Study Direct Spending-2

    • catalog.data.gov
    • opendata.hawaii.gov
    • +1more
    Updated Apr 10, 2024
    + more versions
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    Business Economic Development and Tourism (2024). Hawaii International Study Direct Spending-2 [Dataset]. https://catalog.data.gov/dataset/hawaii-international-study-direct-spending-2
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    Dataset updated
    Apr 10, 2024
    Dataset provided by
    Business Economic Development and Tourism
    Area covered
    Hawaii
    Description

    Hawaii International Study Direct Spending-2

  15. Foreign direct investment: a methods comparison of ONS and externally...

    • gov.uk
    • s3.amazonaws.com
    Updated Apr 14, 2020
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    Office for National Statistics (2020). Foreign direct investment: a methods comparison of ONS and externally produced estimates [Dataset]. https://www.gov.uk/government/statistics/foreign-direct-investment-a-methods-comparison-of-ons-and-externally-produced-estimates
    Explore at:
    Dataset updated
    Apr 14, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  16. Debt to the Penny

    • fiscaldata.treasury.gov
    csv, json, xml
    Updated Apr 12, 2022
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    U.S. DEPARTMENT OF THE TREASURY (2022). Debt to the Penny [Dataset]. https://fiscaldata.treasury.gov/datasets/debt-to-the-penny/
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    json, csv, xmlAvailable download formats
    Dataset updated
    Apr 12, 2022
    Dataset provided by
    United States Department of the Treasuryhttps://treasury.gov/
    Authors
    U.S. DEPARTMENT OF THE TREASURY
    Time period covered
    Apr 1, 1993 - Jul 29, 2025
    Description

    Total outstanding debt of the U.S. government reported daily. Includes a breakout of intragovernmental holdings (federal debt held by U.S. government) and debt held by the public (federal debt held by entities outside the U.S. government).

  17. J

    Japan JP: General Government: Direct Taxes on Business

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan JP: General Government: Direct Taxes on Business [Dataset]. https://www.ceicdata.com/en/japan/government-accounts-general-government-forecast-oecd-member-annual/jp-general-government-direct-taxes-on-business
    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, 2015 - Dec 1, 2026
    Area covered
    Japan
    Variables measured
    Balance of Payment
    Description

    Japan JP: General Government: Direct Taxes on Business data was reported at 42,053.167 JPY bn in 2026. This records an increase from the previous number of 40,781.160 JPY bn for 2025. Japan JP: General Government: Direct Taxes on Business data is updated yearly, averaging 19,821.400 JPY bn from Dec 1960 (Median) to 2026, with 67 observations. The data reached an all-time high of 42,053.167 JPY bn in 2026 and a record low of 834.220 JPY bn in 1960. Japan JP: General Government: Direct Taxes on Business data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.EO: Government Accounts: General Government: Forecast: OECD Member: Annual. TYB - Direct taxes on business

  18. California Direct Protection Areas

    • catalog.data.gov
    • data.cnra.ca.gov
    • +6more
    Updated Nov 27, 2024
    + more versions
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    CAL FIRE (2024). California Direct Protection Areas [Dataset]. https://catalog.data.gov/dataset/california-direct-protection-areas-0ca46
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Area covered
    California
    Description

    Direct Protection Areas (DPA) delineates the dividing lines between land that will be provided wildland fire protection by the State, Federal, and Local agencies. The Cooperative Fire Management Agreement (CFMA) between the federal agencies and the California Department of Forestry and Fire Protection (CAL FIRE) is the primary mechanism that provides the framework for wildland fire protection responsibilities statewide. Through this mechanism the state has been divided into practical Direct Protection Areas (DPAs) corresponding with each agency's responsibility. The participating agencies submit proposal for changes to their DPA where necessary. If changes are agreed upon by all parties involved, then the change is approved and the layer is updated.This service represents the latest current version we have available, and is updated when we receive a new version. The data is maintained by USFS. As of April 2017, this represents DirectProtectionAreas17_1.

  19. Statistics On Title II Direct Payments To Claimant Representatives

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Apr 21, 2022
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    Social Security Administration (2022). Statistics On Title II Direct Payments To Claimant Representatives [Dataset]. https://catalog.data.gov/dataset/statistics-on-title-ii-direct-payments-to-claimant-representatives
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    Dataset updated
    Apr 21, 2022
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    Every person has the right to be represented by an attorney or other representative while pursuing a claim or other rights. This dataset contains data around Title II Fee Payments.

  20. F

    Central Reserve City Member Banks in New York City, Classification of...

    • fred.stlouisfed.org
    json
    Updated Jun 29, 2016
    + more versions
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    (2016). Central Reserve City Member Banks in New York City, Classification of Investments: U. S. Government Obligations: Direct: Bills [Dataset]. https://fred.stlouisfed.org/series/USGODBILNY
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    jsonAvailable download formats
    Dataset updated
    Jun 29, 2016
    License

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

    Area covered
    New York, United States
    Description

    Graph and download economic data for Central Reserve City Member Banks in New York City, Classification of Investments: U. S. Government Obligations: Direct: Bills (USGODBILNY) from Oct 1928 to Dec 1941 about bills, investment, government, banks, depository institutions, and USA.

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(2020). Guaranteed and Direct Loan Financing, Net Activity [Dataset]. https://fiscaldata.treasury.gov/datasets/monthly-treasury-statement/

Guaranteed and Direct Loan Financing, Net Activity

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6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 13, 2020
Description

This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government providing a detailed view of all direct and guaranteed loan financing for federal credit programs under the Credit Reform Act of 1990. Guaranteed loan financing is issuing any debt obligation with a guarantee, insurance, or other pledge that payment of all or a part of the principal or interest will be made to the lender. This table applies to lending to non-federal borrowers by non-federal lenders that carries some form of guarantee by the federal government. Exceptions include the insurance of deposits, shares, or other withdrawable accounts in financial institutions. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

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