These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

The Corporate Tax Rate in the United States stands at 21 percent. This dataset provides - United States Corporate Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Analysis of ‘Payments in Lieu of Taxes (PILT) and All Service Receipts (ASR) (Feature Layer)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/fefa4fd0-85e0-4114-b32d-d863facfedf3 on 11 February 2022.

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Note: This is a large dataset. To download, go to ArcGIS Open Data Set and click the download button, and under additional resources select the shapefile or geodatabase option. This data is intended for read-only use. Payments In Lieu of Taxes (PILT) and All Service Receipts (ASR) are combined into a base layer that is used in Forest Service business functions, as well as by other entities such as states and counties. This layer depicts Forest Service lands that qualify for PILT and/or ASR. Payments in Lieu of Taxes are Federal payments to local governments that help offset losses in property taxes due to the existence of nontaxable Federal lands within their boundaries. All Service Receipts data provides acreage inputs to the FS All Service Receipts program that tracks receipt data by unit and computes revenue sharing payments to states and counties. Please note, the publication of this dataset in EDW replaces the file geodatabase on the Public Lands and Realty Management website. Metadata and Downloads.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Real Property Tax - 2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/048c3929-9847-4bc5-83f6-d76a8a1281e4 on 12 February 2022.

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This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit. Update Frequency: Updated Annually in July

--- Original source retains full ownership of the source dataset ---

Personal income tax is collected annually from Ontario residents and those who earned income in the province.

The tax is calculated separately from federal income tax. There are 5 Ontario income tax brackets and 5 corresponding tax rates.

For an explanation of these rates and credits, refer to the federal and provincial personal income tax return for the applicable year. To get a copy of the return (also known as a T1) contact the Canada Revenue Agency at 1-800-959-8281 or visit canada.ca/cra-forms.

Read on: about personal income tax

This data is related to:

• Filing your tax return
• Taxes and benefits
• Business income tax

Related data:

• Personal income tax
• Provincial tax database

Note: This is a large dataset. To download, go to ArcGIS Open Data Set and click the download button, and under additional resources select the shapefile or geodatabase option. This data is intended for read-only use. Payments In Lieu of Taxes (PILT) and All Service Receipts (ASR) are combined into a base layer that is used in Forest Service business functions, as well as by other entities such as states and counties. This layer depicts Forest Service lands that qualify for PILT and/or ASR. Payments in Lieu of Taxes are Federal payments to local governments that help offset losses in property taxes due to the existence of nontaxable Federal lands within their boundaries. All Service Receipts data provides acreage inputs to the FS All Service Receipts program that tracks receipt data by unit and computes revenue sharing payments to states and counties. Please note, the publication of this dataset in EDW replaces the file geodatabase on the Public Lands and Realty Management website. Metadata and Downloads.

“Public Goods through Private Eyes” Project. General information“Public Goods through Private Eyes” is a full-scale comparative public opinion survey carried out in 2013 and 2014 as a result of the 2009 ERC funding of 1.73 million Euro awarded to dr hab. Natalia Letki (project PI, University of Warsaw). The aim of the project was to collect high-quality survey data on attitudes and behaviour towards public goods and the state in 14 post-communist countries:Bulgaria, Croatia, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, Serbia, Slovakia, Slovenia and Ukraine.PGPE QuestionnaireThe questionnaire was developed by the PGPE team with support from the Project’s Advisory Board: Rene Bekkers (VU University Amsterdam), Klarita Gërxhani (EUI), Erich Kirchler (University of Vienna), Stephan Muehlbacher (University of Vienna), Kristina Murphy (Griffith University), Pamela Paxton (The University of Texas at Austin) and Michael Wenzel (Flinders University). It contained 7 main modules:A. Local communityB. Social trust and social cohesionC. Personality and commitmentD. Public goodsE. Institutional qualityF. Tax behaviour and law complianceG. Green behaviourH. Political participationI. Socio-economic background.The survey also contains 4 vignettes – fully randomized survey-embedded experiments.In each country respondents were clustered in 75 stratified sampling points (with the exception of Ukraine, where Russian annexation of Crimea interfered with fieldwork and only data in 74 sampling points were collected). The sampling points were designed to cover a spatially relatable area that respondents could refer to when contextualizing their survey responses. For details, see PGPE document on sampling procedure.ResultThe result of the project is a multi-level multi-component survey, comprising of:1. The main survey of 22039 respondents nested in 1049 SPs in 14 countries.2. The survey of interviewers (each interviewer had to complete the survey prior to commencing work for the project).3. Survey of ecological data for the PSU level in all countries.Surveys 2 and 3 can be linked to survey 1 to explore interviewer effects (survey 2) and contextual effects (survey 3). For confidentiality reasons, surveys 2 and 3 cannot be released.Sampling procedure was developed in cooperation with dr Matthias Ganninger, dr Sabine Haeder and dr Siegfried Gabler (GESIS Mannheim) (for details, see a document on PGPE sampling).Weights were prepared based on the ESS standards by Jan-Philipp Kolb (GESIS Mannheim). The following weight types are provided in the PGPE dataset: DWEIGHT (design weight), PSPWGHT (post-stratification weight), PWEIGHT (population weights) and PPSPWGHT (combination of post-stratication weights and population size weights).Main fieldwork was carried out by two companies and their subcontractors: in Poland it was carried out by CBOS, in all other countries - by IPSOS Strategic Marketing. PAPI and CAPI were used as data collection methods.QualityTo achieve as high a quality as possible the key following principles were applied:· Sampling was designed and carried out centrally, by the PGPE team in cooperation with sampling experts. · Pre-listing of address was verified centrally, by the PGPE team, on the basis of maps.· Questionnaire was translated following the ESS round 5 guidelines.· Questionnaire was tested qualitatively, and a quantitative pre-test on quota samples were carried in each country prior to the main survey.· Data was centrally checked and screened for inconsistencies and feedback was given to the fieldwork companies to be taken into account in the subsequent phases of fieldwork.· Post-survey control in most countries was carried out with the participation of the PGPE team members.Translation of the questionnaireTranslation guidelines were modeled after ESS round 5, with particular emphasis on keeping the equivalence of meaning and the symmetry and consistency of scales. Translation was carried out in three stages: i) questionnaire was translated by two independently working, experienced translators per language; ii) two versions were adjudicated by an experienced adjudicator; iii) language versions used as minority questionnaires in other countries were harmonized by country coordinatorsQuestionnaire testingThe PGPE Questionnaire was tested in two stages. First, a Qualitative pre-test was performed in Polish by GFK Polonia in 3 waves of question testing in a studio with a venetian mirror. Second, a Quantitative pilot was performed by fieldwork companies on a representative quota sample of N=80 in each country. The aims of both qualitative and quantitative pre-testing was to control the quality of translation and to shorten the questionnaire.

Tax Increment Financing (TIF) Districts is established by a municipality around an area that requires public infrastructure to encourage public and private real property development or redevelopment. The property values at the time the District is created are determined and the property taxes generated by that original value continue to go to the taxing entities (municipality and state). This dataset provides the TIF boundaries provided by the municipalities as part of the TIF process. Learn more about the Vermont Increment Financing Districts Program.

Market, total and after-tax income of individuals, adjusted (Average and income share).

Download In State Plane Projection Here In addition to the Tax Parcel polygons feature class, the hyperlink download above also contains a parcel point data layer Parcel boundaries are developed from deeds, plats of subdivision and other legal documents going back to the mid 1800's, following generally accepted practices used in Public Land Survey System states, and following guidelines established by the Illinois Department of Revenue and the International Association of Assessment Officials. Lake County's parcel coverage is based on resolving the accumulated evidence of all of the legal documents surrounding a particular parcel or subdivision, and not the result of a countywide resurvey. These parcel boundaries are intended to be a visual inventory of property for tax and other administrative purposes; they are not intended to be used in place of an on-site survey or for the precise determination of property corners or PLSS features based on GIS coordinates. In Illinois, only a registered professional land surveyor is authorized to determine boundary locations. Included are the tax parcel boundaries, represented as polygons and centroids, for all changes resulting from legal records submitted to the Recorder of Deeds up to December 31st of the preceding year, as well as any court orders, municipal annexations and other transactions which impact the tax parcel boundaries. NOTE: The ONLY attribute included is the Property Index Number, or PARCEL_NUM. Additional assessment attribute data can be downloaded here This parcel layer is used for tax assessment purposes and for a variety of other local government functions. It changes often, both spatially and in its attribution, based on divisions or consolidations, the sale of property and other transactions. Example: PIN 08-17-304-014 can be interpreted as follows: Township 08, Section 17, Block 304, Parcel 014. Note that the first digit of block, "3" in this example, signifies that the parcel lies in quarter section 3. The quarter sections are labeled from 1 through 4, representing the northwest, northeast, southwest and southeast quarter sections, respectively. Update Frequency: This dataset is updated on a weekly basis.

The Corporate Tax Rate in Lebanon stands at 17 percent. This dataset provides - Lebanon Corporate Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Analysis of ‘Bag Tax’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f1ef9957-8916-4675-b3a5-479abf3d7708 on 13 February 2022.

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On May 3, 2011 Montgomery County passed legislation (Bill 8-11) that places a five-cent charge on each paper or plastic carryout bag provided by retail establishments in the County to customers at the point of sale, pickup or delivery. Retailers retain 1 cent of each 5 cents for the bags they sell a customer. This dataset represents information that has been captured since this law went into effect. Update Frequency - Monthly

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Publication Date: November 2024. This data represents Federal properties in New York State derived from a combination of the USGS National Boundary Dataset (NBD) with NYS Publicly Available Parcel data: USGS GU_Reserve feature class "...include extents of forest, grassland, park, wilderness, wildlife, and other reserve areas useful for recreational activities, such as hiking and backpacking. Boundaries data are acquired from a variety of government sources. The data represents the source data with minimal editing or review by USGS." More information and detailed metadata is available here: https://data.usgs.gov/datacatalog/data/USGS:6dcde538-1684-48a0-a8d6-cb671ca0a43e. NYS ITS Geospatial Services publicly available parcel data selection of [OWNER_TYPE] field, where 1 = Federal. Classification is based solely on the parcel owner name indicating that the property is owned by the United States. Parcel data that is not publicly available is not included. More information and detailed metadata is available here: https://gis.ny.gov/parcels.These two datasets were combined with a minimum of available common attributes, indicating the Name, Owner, and Address of the property where applicable and/or available. Unique identifiers were retained to link records back to the original datasets. Work to improve and expand upon this Federal properties GIS dataset is on-going. Please contact NYS ITS Geospatial Services at nysgis@its.ny.gov if you have any questions.

This summary table shows, for Budget Receipts, the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for various types of receipts (i.e. individual income tax, corporate income tax, etc.). The Budget Outlays section of the table shows the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for functions of the federal government. The table also shows the amounts for the budget/surplus deficit categorized as listed above. 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.

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

The Personal Income Tax Rate in Norway stands at 47.40 percent. This dataset provides - Norway Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Withholding Tax Rate in Portugal stands at 25 percent. This dataset includes a chart with historical data for Portugal Withholding Tax Rate.

On October 11, 2017, the Cook County Board repealed the Sweetened Beverage Tax Ordinance, effective December 1, 2017. This dataset is historical and no longer maintained.

Disclaimer: This list was last updated on 10/05/2017 and is updated monthly on the website. If up-to-the-minute accuracy is needed, contact us at 312-603-6328. This dataset contains registered Sweetened Beverage Distributors.

Gini coefficients of adjusted market, total and after-tax income, annual.

This table provides census family taxation statistics, including effective tax and transfer rates, the total amount of taxes paid and government transfers received, and the proportion of Canadian census families that pay tax or receive government transfers.