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.

The Personal Income Tax Rate in the United States stands at 37 percent. This dataset provides - United States Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

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.

The Sales Tax Rate in the United States stands at 0 percent. This dataset provides - United States Sales Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Tax rates on motor fuel by type and state from the U.S. Department of Transportation's Federal Highway Administrations' Monthly Motor Fuel Report, available at: https://www.fhwa.dot.gov/policyinformation/motorfuelhwy_trustfund.cfm All States levy volume taxes on gasoline and diesel fuel. Traditionally, State fuel tax rates could only be changed with legislation, but as of 2021, 10 States have variable rate motor fuel taxes. These taxes are adjusted at specified intervals annually, semi-annually, or quarterly. Adjustments to variable tax rates are announced by State tax agencies shortly before the effective date of the change. The fuel tax rate is collected annually and therefore the semi-annual and quarterly adjustments are not captured in the data.

The Personal Income Tax Rate in Denmark stands at 55.90 percent. This dataset provides - Denmark Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Personal Income Tax Rate in Sweden stands at 52 percent. This dataset provides - Sweden Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Withholding Tax Rate in the United States stands at 30 percent. This dataset includes a chart with historical data for the United States Withholding Tax Rate.

This table contains 63 series, with data for years 1947 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: United States); Components (63 items: Total federal government current receipts; Federal personal current taxes; Federal government income tax receipts; Federal government estate and gift taxes receipts; ...).

This dataset contains 6 external datasets for the GoDaddy - Microbusiness Density Forecasting competition. The script used to clean the data can be found here

Cleaned Data

10yr_treasury_rate.csv

Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity dataset was sourced from the Federal Reserve Bank of St Louis. Source: Data

county_coastline.csv

US census data on counties on a coastline. There was no metadata to go with this file. Source: Data.

county_neighbours.csv

Provides an array of all neighbouring counties for each county. Used US counties shape files from the ArcGIS Hub to compute this.

Source: Data

county_rent_estimates.csv

50th Percentile Rent Estimate Data was sourced from the Office of Policy Development and Research. This source could provide a sense of economic health in each county. The frequency of this dataset is annual and provides a median estimation of rent prices for 1,2 and 3-bedroom rentals each year. Some counties in the raw data have multiple estimates, so we take the median estimate for each county each year.

Source: Data

state_employment.csv

Seasonally adjusted employment data by state sourced from the Bureau of Labor Statistics. This dataset provides monthly employment information by state. Navigate to the Downloadable Series Files (TXT) section for the raw data after clicking the link below.

Source: Data

state_corporate_tax_rates.csv

Top Marginal Corporate Income Tax Rate by state and year. This data was sourced from Richstatespoorstates, and could be used as another economic indicator.

Source: Data

Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.

The Payments in Lieu of Taxes Program is administered by Public Services and Procurement Canada (PSPC). Every year more than $560 million is distributed to approximately 1,100 taxing authorities where property owned by federal departments is situated. Payments made under the Payments in Lieu of Taxes Act are based on the principle of fairness respecting both the taxing authorities and the federal government and are equitable in comparison to those made by other property owners. Payments are calculated on the basis of values and tax rates which would, in the opinion of the Minister of Public Services and Procurement, apply to federal property if it were taxable. The dataset lists payments in lieu of taxes paid to taxing authorities across Canada for a specific tax year.

Key Table Information.Table Title.Arts, Entertainment, and Recreation: Summary Statistics for the U.S., States, and Selected Geographies: 2022.Table ID.ECNBASIC2022.EC2271BASIC.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2024-12-05.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesOperating expenses ($1,000)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels. For information about NAICS, see Economic Census Code Lists..Business Characteristics.For selected Services sectors, data are published by Tax Status (All establishments, Establishments subject to federal income tax, and Establishments exempt from federal income tax)..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher le...

Overview

This dataset is a cleaned and updated version of the classic Boston Housing Dataset, originally made available by the U.S. Census and later popularized in machine learning communities. It contains detailed information about housing prices in Boston suburbs, along with environmental, structural, and socio-economic indicators for each neighborhood.

The dataset is widely used as a benchmark for regression tasks and offers an excellent opportunity to explore linear modeling, feature engineering, multicollinearity analysis, bias mitigation, and more. 📚 Context

Originally published by Harrison and Rubinfeld in 1978, this dataset has been widely adopted in the machine learning and statistics communities. It contains 506 observations, each representing a town or neighborhood in the Boston metropolitan area.

However, some features in the dataset—particularly the B column which encodes race-based information—have become the subject of ethical scrutiny in recent years. Therefore, this version may have undergone data cleaning, feature selection, or modification to ensure it is more appropriate for modern and ethical ML applications. 📊 Features Feature Description CRIM Per capita crime rate by town ZN Proportion of residential land zoned for lots over 25,000 sq. ft. INDUS Proportion of non-retail business acres per town CHAS Charles River dummy variable (= 1 if tract bounds river; 0 otherwise) NOX Nitric oxides concentration (parts per 10 million) RM Average number of rooms per dwelling AGE Proportion of owner-occupied units built before 1940 DIS Weighted distance to five Boston employment centers RAD Index of accessibility to radial highways TAX Property tax rate per $10,000 PTRATIO Pupil-teacher ratio by town B 1000(Bk - 0.63)^2 where Bk is the proportion of Black residents LSTAT Percentage of lower-status population MEDV Median value of owner-occupied homes in $1000s (Target Variable)

🟡 Note: Some features (e.g., CHAS, B, or RAD) may have been removed or modified in this version depending on your ethical preprocessing or cleaning steps.

🎯 Target Variable

MEDV: Median value of owner-occupied homes (in $1000s). This is the value we aim to predict in regression tasks.

✅ Use Cases

This dataset is ideal for:

Predictive modeling using linear regression or advanced ML techniques

Feature engineering and feature selection

Studying the effects of urban and environmental variables on real estate prices

Analyzing multicollinearity and variable importance

Exploring ethical considerations in machine learning

⚖️ Ethical Considerations

The original dataset includes the feature B, which encodes racial information. While historically included for statistical analysis, modern ML best practices recommend caution when using such data to avoid unintended bias or discrimination.

In this version, you may choose to remove or retain the column depending on the intended use and audience.

Always consider the fairness, accountability, and transparency of your ML models.

📁 File Information

Filename: boston_housing_cleaned.csv

Records: 506 rows (observations)

Columns: 13 features + 1 target variable (depending on cleaning)

Missing Values: None (in original); NA if introduced during preprocessing

Source: Based on U.S. Census data (original), sourced from Kaggle and cleaned

📌 Tags

housing-prices · regression · real-estate · data-cleaning · ethical-ml · boston · exploratory-data-analysis · feature-engineering

The California Housing dataset contains information about various factors affecting housing prices in the California area. It includes features such as the per capita crime rate, average number of rooms per dwelling, proportion of residential land zoned for lots over 25,000 square feet, and more.

Datasource: The data were derived from information collected by the U.S. Census Service concerning housing in the area of California.

Columns: Location: Region Address: Address of the house Price: Price in millions CRIMS per capita crime rate by town ZN proportion of residential land zoned for lots over 25,000 sq.ft. INDUS proportion of non-retail business acres per town CHAS Charles River dummy variable (= 1 if tract bounds river; 0 otherwise) NOX nitric oxides concentration (parts per 10 million) RM average number of rooms per dwelling AGE proportion of owner-occupied units built prior to 1940 DIS weighted distances to five Boston employment centres RAD index of accessibility to radial highways TAX full-value property-tax rate per 10,000usd PTRATIO pupil-teacher ratio by town B 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town LSTAT % lower status of the population

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPIs) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and Recommendations.

In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro.

The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three country groups: the euro area (EA), the European Union (EU), and the European Economic Area (EEA), the latter covering Iceland and Norway, in addition to the EU. Liechtenstein does not produce HICP and is therefore not included in the EEA HICP aggregate.

The official indices for the country-groups reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group indices with stable country composition over time.

HICP for Albania, Montenegro, North Macedonia, Serbia, Türkiye (candidate countries), as well as Kosovo (^*) are also published. Their data is flagged with 'd' ('definition differs'), given that its conformity with the methodological HICP requirements has not been evaluated by Eurostat.

A proxy-HICP for the all-items index and main headings is also available for the USA.

National HICPs are produced by National Statistical Institutes (NSIs), while country-group indices (EU, EA and EEA) are produced by Eurostat.

The data are released monthly in Eurostat's database and include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline 'all-items HICP', over 400 sub-indices for different goods and services and over 30 special aggregates are available, including the HICP at administered prices (HICP-AP).

Every year, with the release of the January data, the relative weights for the indices and the special aggregates (item weights) as well as the individual countries' weight within the country groups (country weights) are published.

The composition of the HICP for administered prices (HICP-AP), i.e. which sub-indices are classified as mainly or fully administered by each Member State, is updated at the same time (more information on HICP-AP can be found under the Specific topics on the web page: Information on data - Harmonised Indices of Consumer Prices (HICP) - Eurostat (europa.eu) (#HICP - administered prices).

Eurostat publishes early estimates, called 'flash estimate', of the euro area overall inflation rate and selected components. These are published monthly, usually on the last working day of the reference month.

The HICP at constant tax rates (HICP-CT) is also published every month and follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as value-added tax (VAT) and excise duties, on the overall inflation (more information can be found in the 'HICP-CT Reference methodology document').

Flags

Flags used in the Eurostat online database provide information about the status of the data or a specific data value. The list of used flags can be found in the web page Database - Eurostat (europa.eu), above the tree, through the 'i' box 'information on the database' and then 'Flags and special values' topic.

(*) Under United Nations Security Council Resolution 1244/99.

If you’re a senior with low income, you may qualify for monthly Guaranteed Annual Income System payments. #Maximum payment and allowable private income amounts for the period from July 1, 2025 to June 30, 2026 are: * $90 monthly for single seniors (maximum monthly payment amount), your annual private income must be less than $4,320 * $180 monthly for senior couples (maximum monthly payment amount), your annual private income must be less than $8,640 The data is organized by private income levels. GAINS payments are provided on top of the Old Age Security (OAS) pension and the Guaranteed Income Supplement (GIS) payments you may receive from the federal government. Learn more about the Ontario Guaranteed Annual Income System This data is related to The Retirement Income System in Canada Join the Ontario Ministry of Finance for a free webinar to help you learn about tax credits, benefits, and other programs available to support Ontario seniors with a low income. Visit ontario.ca/TaxTalk to learn more.

The Personal Income Tax Rate in Canada stands at 33 percent. This dataset provides - Canada Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.