USAID's Collecting Taxes Database (CTD) is a compilation of international statistics about taxation designed to provide policymakers, practitioners, and researchers with the means to conduct analysis on domestic revenue mobilization (DRM). It is part of a wider agenda of the international community to help countries strengthen their tax systems and mobilize domestic revenue. The CTD includes information on tax performance and tax administration variables for 200 countries and territories. USAID plans to update the CTD annually. The CTD comprises a set of 30 indicators divided into three main categories -- (1) Tax Rates and Structure; (2) Tax Performance; and (3) Tax Administration -- and includes information on 200 national tax systems. The tax administration indicators examine the main features of the revenue authority.

The CBT database builds on an existing database which has been created in 2006 as a multi-country database and developed over the years by various Research Fellows at the Centre, and earlier at the Institute for Fiscal Studies. The original version uses various sources such as OECD Tax Database, IBFD (International Bureau of Fiscal Documentation), World Tax Database from the University of Michigan, KPMG and E&Y and covered mainly OECD countries. The data currently in the database comes from various sources, mainly from: • The Worldwide Corporate Tax Guide published by E&Y; years available: 2002-2017 • data for 2011 - 2017 comes mainly from the online IBFD Tax Research Platform where they provide very detailed Country Surveys • G20 countries data has been updated to be consistent with IBFD "Global corporate tax handbook" (years 2007 - 2010) and "European tax handbook" (years 1990 - 2010) • ZEW Intermediate Report 2011, “Effective Tax levels using Devereux/Griffith methodology” • Deloitte Tax Highlights and International Tax and Business Guide; years available: 2009, 2010 • KPMG Tax Rate Survey; years available: 1998 - 2009 • PKF Worldwide Tax Guide; years available: 2007 - 2009

Key information about US Tax revenue: % of GDP

• United States Tax revenue: % of GDP was reported at 16.6 % in Dec 2024.
• This records an increase from the previous number of 16.2 % for Dec 2023.
• US Tax revenue: % of GDP data is updated yearly, averaging 17.0 % from Dec 1968 to 2024, with 57 observations.
• The data reached an all-time high of 19.5 % in 2000 and a record low of 13.7 % in 2009.
• US Tax revenue: % of GDP data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Tax Revenue: % of Nominal GDP: Annual.

CEIC calculates annual Tax Revenue as % of Nominal GDP from monthly Tax Revenue and annual Nominal GDP. Tax Revenue is calculated as the sum of Individual Income Taxes, Corporation Income Taxes, Social Insurance Taxes, Excise Tax, Estate and Gift Taxes and Customs Duties. The Bureau of the Fiscal Service provides Tax Revenue in USD. The Bureau of Economic Analysis provides Nominal GDP in USD.

USAID's Collecting Taxes Database (CTD) is a compilation of international statistics about taxation designed to provide policymakers, practitioners, and researchers with the means to conduct analysis on domestic revenue mobilization (DRM). It is part of a wider agenda of the international community to help countries strengthen their tax systems and mobilize domestic revenue. The CTD includes information on tax performance and tax administration variables for 200 countries and territories. USAID plans to update the CTD annually. The CTD comprises a set of 30 indicators divided into three main categories -- (1) Tax Rates and Structure; (2) Tax Performance; and (3) Tax Administration -- and includes information on 200 national tax systems. The tax rates and structure indicators capture historical tax rates and thresholds. The tax performance indicators measure how effectively the tax system produces revenues. The CTD Performance Data includes Tax Rates and Structure and Tax Performance data.

Performance pay for tax collectors has the potential to raise revenues, but might come at a cost if it increases the bargaining power of tax collectors vis-à-vis taxpayers. We report the first large-scale field experiment on these issues, where we experimentally allocated 482 property tax units in Punjab, Pakistan, into one of three performance pay schemes or a control. After two years, incentivized units had 9.4 log points higher revenue than controls, which translates to a 46% higher growth rate. The scheme that rewarded purely on revenue did best, increasing revenue by 12.9 log points (64% higher growth rate), with little penalty for customer satisfaction and assessment accuracy compared to the two other schemes that explicitly also rewarded these dimensions. The revenue gains accrue from a small number of properties becoming taxed at their true value, which is substantially more than they had been taxed at previously. The majority of properties in incentivized areas in fact pay no more taxes, but instead report higher bribes. The results are consistent with a collusive setting in which performance pay increases collectors’ bargaining power over taxpayers, who have to either pay higher bribes to avoid being reassessed or pay substantially higher taxes if collusion breaks down.

Key information about Russia Tax Revenue

• Russia Tax Revenue was reported at 23.352 USD bn in Jan 2025.
• This is a decrease from the previous figure of 422.316 USD bn for Dec 2024.
• Russia Tax Revenue data is updated monthly, averaging 92.109 USD bn from Jan 1996 to Jan 2025, with 349 observations.
• The data reached an all-time high of 513.949 USD bn in Dec 2022 and a record low of 1.764 USD bn in Jan 1999.
• Russia Tax Revenue data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Tax Revenue: USD: Monthly.

CEIC converts monthly Tax Revenue into USD. The Federal Tax Service of Russia provides year-to-date Tax Revenue in local currency. The Bank of Russia average market exchange rate is used for currency conversions.

AT_2004_ANNE

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation




   Summary


   Serves as a basis for performing various analyses based on parcel data.


   Description


   Assessments & Taxation (A&T) Database from MD Property View 2004 for Anne Arundel County. The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A&T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab.


   It should be noted that the A&T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A&T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields).


   A cursory review of the 2004 version of the A&T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the A&T Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 897 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords."


   Credits


   Maryland Department of Planning


   Use limitations


   BES use only.


   Extent



   West -76.838738  East -76.395283 

   North 39.238726  South 38.708588 




   Scale Range

   There is no scale range for this item.

This database contains the following tax law information for 46 countries (EU and OECD member states): the corporate tax rate, reduced corporate tax rates for Small and Medium Enterprises (SME) and the thresholds for these to apply (e.g. with regard to firm revenue, number of employees etc.), withholding taxes on cross-border dividend payments, taxes on foreign earnings, and allowances for depreciation for corporate investment.

Graph and download economic data for Federal government current tax receipts: Taxes on production and imports: Customs duties (B235RC1Q027SBEA) from Q1 1959 to Q2 2025 about receipts, imports, tax, federal, production, government, GDP, and USA.

Assessments Taxation (A and T) Database from MD Property View 2004 for Harford County. The A and T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A and T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab. It should be noted that the A and T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A and T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields). A cursory review of the 2004 version of the A and T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the A and T Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 690 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords." This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

Key information about United States Tax Revenue

• US Tax Revenue was reported at 510.819 USD bn in Jan 2025.
• This records an increase from the previous figure of 451.093 USD bn for Dec 2024.
• US Tax Revenue data is updated monthly, averaging 107.897 USD bn from Dec 1967 to Jan 2025, with 686 observations.
• The data reached an all-time high of 851.434 USD bn in Apr 2022 and a record low of 10.507 USD bn in Oct 1968.
• US Tax Revenue data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Tax Revenue: USD: Monthly.

CEIC calculates monthly Tax Revenue as the sum of Individual Income Taxes, Corporation Income Taxes, Social Insurance Taxes, Excise Tax, Estate and Gift Taxes and Customs Duties. The Bureau of the Fiscal Service provides Tax Revenue in USD.

The Sales and Use Tax is a state-imposed tax on various transactions, including the sale, rental, or lease of goods, sale of taxable services, and operation of lodging establishments within Connecticut. Individuals and businesses engaging in these activities are required to register with the Department of Revenue Services (DRS) and obtain a Sales and Use Tax Permit. Tax rates vary depending on the type of transaction, with special rates applying to certain sales, such as meals, luxury items, and other specific goods. Businesses are required to electronically file Form OS-114 to report all sales activity, regardless of whether taxes are due.

This table contains the legal description information including legal address (site address), deeded land area, and tax district for properties within Fairfax County. There is a one to one relationship to the parcels data. Refer to this document for descriptions of the data in the table.

AT_2004_CARR

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation




   Summary


   Serves as a basis for performing various analyses based on parcel data.


   Description


   Assessments & Taxation (A&T) Database from MD Property View 2004 for Carroll County. The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A&T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab.


   It should be noted that the A&T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A&T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields).


   A cursory review of the 2004 version of the A&T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the A&T Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 848 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords."


   Credits


   Maryland Department of Planning


   Use limitations


   BES use only.


   Extent



   West -77.306843  East -76.779275 

   North 39.727017  South 39.342858 




   Scale Range

   There is no scale range for this item.

14 sheets of data, each sheet representing a table from the database that stores the information. The order of the sheets is based on the sequence of reporting forms for the Financial Transactions Report.

Retired on 8/17/2022 due to inconsistent downloads in hub. Public extract of the database used for sending tax assessment bills. It is also known as tax assessment roll. ITS stores comprehensive tax information such as ownership, mailing addresses, etc., of record lots, tax lots, parcels, condominiums, and federally owned lands such as reservations and appropriations. The ITS database also processes notices and tax bills. The linkage from the Vector Property layers to this database is SSL (Square, Suffix, and Lot).It should be noted that not all record lots have a direct 1:1 relationship to information in this database. The most obvious examples would be when a tax lot was created from existing record lots. In this case, only the tax lot would have linkage to the ITS database, not the underlying record lots (though they still exist). Another example would be reservations that have been converted into tax lots. The reservation still exists, however for taxation purposes it is referred to as a tax lot and has corresponding linkage to ITS.

This data provides the geographic location for parcel boundary lines within the jurisdiction of the Carteret County, NC and is based on recorded surveys and deeds. This dataset is maintained by the Carteret County GIS Division. Data is updated on an as needed basis. The description for each field name in the layer is included below.FieldAliasMeaningPIN15Parcel NumberTax Parcel ID Number (PIN4+ PIN5)ROLL_TYPERoll TypeRoll type of property (regularly taxed property or tax-exempt)GISMOTHERMother ParcelMother ParcelGISMAPNUMPIN1First 4 digits of PIN15MAPNAMPIN2PIN1 + 2 digitsGISBLOCKPIN3Digits 7 and 8 of PIN15GISPINPIN4PIN2 +PIN3GISPDOTPIN5Digit numbers 9 to 12 of PIN15CONDO_Condo unit #Condo numberGISPRIDOld Tax IDOld parcel number style based on prior mapping system before NC GRID system mapsOWNERTax Owner 1Tax parcel ownerOWNER2Tax Owner 2Secondary tax parcel ownerSITE_HOUSESite House #Site Address House NumberSITE_DIRSite DirSite Address Street directionalSITE_STSite StreetSite Address Street NameSITE_STTYPSite Street TypeSite Address Street Suffix (e.g., Dr., St., etc.)SITE_APTNOSite AptSite Address UnitSITE_CITYSite CitySite Address City/CommunityPropertyAddressPhysical AddressProperty AddressMAIL_ADDRESS1Mailing address and streetConcatenated mailing addressMAIL_ADDRESS2Mailing unitSecondary mailing addressMAIL_CITYMailing cityMailing address CityMAIL_STATEMailing stateMailing address StateMAIL_ZI4Mailing Zip4Mailing address Zip Code + 4MAIL_ZI5Mailing Zip5Mailing address Zip CodeFullMailingAddressFull Mailing AddressFull mailing address concatenatedDBOOKDeed BookDeed book containing the most recent deed to the propertyDPAGEDeed PageDeed page containing the most recent deed to the propertyDDATEDeed Dateunformatted most recent deed date for the propertyDeedDate_2Formatted Deed DateFormatted most recent deed date for the propertyMapBookPlat Map BookMap BookMapPagePlat Map PageMap PagePLATBOOKPlat BookRecorded Plat BookPLATPAGEPlat PageRecorded Plat PageLEGAL_DESCParcel Legal DescriptionLegal descriptionLegalAcresLegal Acres (new)Deeded or platted acresDeededAcresLegal AcresAcres from recorded deedsCalculatedLandUnitsTaxed AcresTaxed land acreageGISacresCalculated AcresCalculated GIS acresGISacres2Calculated Acres (new)Calculated GIS acresLandCodeTax Land Category CodeLand CodeLandCodeDescriptionTax Land Category DescriptionLand Code DescriptionMUNICIPALITYMunicipality/ETJIf parcel is within the corporate limits or ETJTOWNSHIPTownshipTownship codeRESCUE_DISTTax Rescue DistrictTax rescue district that the parcel is withinFIRE_DISTTax Fire DistrictTax fire district that the parcel is withinJurisdictionTax District CodeTax District CodeNBHDNeighborhood CodeNeighborhood codeNeighborhoodNameNeighborhood NameNeighborhood code descriptionBuildingCount# BuildingsNumber of buildings within the propertyY_BLT_HOUSEYear Built HouseYear house was builtBLT_CONDOYear Built CondoYear condo was builtTOT_SQ_FTTotal Sq FootTotal square footage of structure on propertyHtdSqFtHeated Sq FootHeated square footages of structure on the propertyBldgModelBuilding ModelBuilding ModelBEDROOMS# Bedrooms# BedroomsBATHROOMS# Bathrooms# BathroomsBldgUseBuilding UseBuilding UseConditionBuilding ConditionBuilding ConditionDwellingStyleDescriptionDwelling DescriptionDwelling style descriptionExWllDes1Exterior wall 1Exterior wall type 1 descriptionExWllDes2Exterior wall 2Exterior wall type 2 descriptionExWllTyp1Exterior wall 1 codeExterior wall type 1ExWllTyp2Exterior wall 2 codeExterior wall type 2FondDes1Foundation Description Foundation type 1 descriptionFondTyp1Foundation Description CodeFoundation type 1RCovDes1Roof # 1 Covering DescriptionRoof covering type 1 descriptionRCovDes2Roof # 2 CoveringDescriptionRoof covering type 2 descriptionRCovTyp1Roof # 1 CodeRoof covering type 1RCovTyp2Roof # 2 CodeRoof covering type 2RStrDes1Roof Structure DescriptionRoof structure type 1 descriptionRStrTyp1Roof Structure CodeRoof structure type 1GradeBuilding GradeTax gradeGradeAndCDUBuilding Grade & ConditionBuilding Grade & ConditionHeatDes1Heating/Cooling TypeHeating type 1 descriptionHeatTyp1Heating/Cooling CodeHeating type 1FireplaceCountFireplacesFireplacesSTRUC_VALStructure ValueValue of structure(s) on the propertyLAND_VALUETax Land ValueValue of the land on the propertyOTHER_VALOther Structures ValueOther value of the propertyTotal_EMVTotal Estimated Market ValueTotal estimated tax valueSaleImprovedorVacantSALE_PRICEVacant or Improved SaleRecorded Sale PriceVacant of Improved SaleRecorded sale priceSaleDateRecorded Sale DateRecorded sale dateSubdivision_NameSubdivision NameSubdivision NameSubdivision_Platbk_pagSubdivision Plat Book/PakeSubdivision Plat Book and PageCommissioner_DistrictCommissioner District #Commissioner"s DistrictCommissioner_Name1Commissioner NameCommissioner"s NameCommissioner_InfoCommissioner LinkLink to Commissioner"s contact info Elementary_SchoolElementary DistrictElementary school name/districtMiddle_SchoolMiddle School DistrictMiddle School name/districtHigh_SchoolHigh School DistrictHigh school name/districtIsImprovedProperty ImprovedBuilt on = 1, Vacant = 0IsQualifiedQualified SaleQualified = 1, Not Qualified = 0Use_codeTax Use CodeLand use codeUse_descTax Use Code DescriptionLand use descriptionPerm_De1Permit # 1 DescriptionPermit #1 descriptionPerm_De2Permit # 2 DescriptionPermit #2 descriptionPerm_Is1Permit # 1 Issue DatePermit #1 issue datePerm_Is2Permit # 2 Issue DatePermit #2 issue datePerm_N1Permit # 1 NumberPermit #1Perm_N2Permit #2 NumberPermit #2Perm_Ty1Permit # 1 TypePermit #1 typePerm_Ty2Permit # 2 TypePermit #2 typeACTL_DA1Permit #1 Completion DatePermit #1 - actual completion dateACTL_DA2Permit #2 Completion DatePermit #2 - actual completion dateReviewedDateTax Office Review DateDate ReviewedNoise_lvlBogue Air Field Noise LevelNoise level zones surrounding military air basesRisk_levelBogue Landing Risk LevelRisk level for military air plane accident potential within the AICUZ zonesaicuzBogue Air Field AICUZAir Installation Compatible Use Zone - planning zones pertaining to military air bases and the surrounding real estateOBJECTIDOBJECTIDESRI default unique IDSHAPEShapeESRI default fieldSHAPE.STArea()Shape AreaESRI default fieldSHAPE.STLength()Shape PerimeterESRI default field

Gives property, or parcel, ownership together with value information, which ensures fair assessment of Boston taxable and non-taxable property of all types and classifications. To preserve their integrity, the identifiers PID, CM_ID, GIS_ID, ZIPCODE, and MAIL_ZIPCODE all are marked with an underscore ("_") as the last character.

Year-specific documentation for the FY2008 through FY2013 files is not currently available, but the format of those files is equivalent to that described in the FY2014 documentation.

United States - Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax was 45100.00000 Mil. of $ in July of 2019, according to the United States Federal Reserve. Historically, United States - Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax reached a record high of 45100.00000 in July of 2019 and a record low of 12005.00000 in January of 2004. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax - last updated from the United States Federal Reserve on July of 2025.

Data tables are excisable litres of alcohol, cleared for home consumption, and reported by excise clients (generally domestic manufacturers) on their excise returns. These are listed by tariff subitem on a weekly basis and include data for the current and past financial years.