Graph and download economic data for Total Revenue for Traveler Accommodation, Establishments Subject to Federal Income Tax (REV7211TAXABL144QNSA) from Q3 2012 to Q2 2025 about travel, revenue, establishments, tax, federal, income, CPI, services, price index, indexes, price, and USA.

The data includes the following information for various tax credits and benefits:

• maximum amounts
• income ranges
• phase-out rates

Each year the maximum amounts and income ranges for certain credits and benefits are adjusted for inflation.

You can download the dataset to view these adjustments.

ABSTRACT This paper aims to evaluate and compare the distributive impact of the personal income tax (PIT) on individual’s income in Brazil and China by measuring the Gini Index before and after this tax incidence. The paper also proposes a methodology for transposing the PIT backets from one country to another. The results show that a more progressive scheme implemented by China, with more brackets and higher rates, does not guarantee reduction of inequality, due to the level of income exemption and to the incomes on which the marginal rates affect. Thus, it can be perceived that the PIT brackets of these two countries deserves revisions if they seek to fulfill the distributive function.

As of 2020, the tax burden sub-score on the Economic Freedom Index for Egypt was ****. This was an increase of *** points from the preceding year. Between 2000 and 2020, the tax burden value ranged between **** points in 2006 and **** points in 2008. For the period under review, the Egyptian tax burden score was below the world average from 2000 to 2006, and the African average from 2001 to 2006. In 2007, the sub-score improved significantly by **** points from 2006, and remained higher than both averages until 2020. This occurred due to a new income tax in June 2005, as well as a unified corporate law. According to the index, the score for tax burden in Egypt was considered "free" from 2007 to 2020.

Graph and download economic data for Producer Price Index by Commodity: Professional Services (Partial): Tax Preparation and Planning (WPU452102) from Apr 2009 to Sep 2025 about professional, tax, services, commodities, PPI, inflation, price index, indexes, price, and USA.

This chart provides the indexation factors used in determining the federal and provincial (except Manitoba, Nova Scotia, Prince Edward Island and Quebec) tax brackets and certain tax credits for the 2013 Income Tax and Benefit Returns. It also provides the 2013 tax rates and tax brackets for the calculation of federal and provincial (except Quebec) taxes.

This statistic shows the state business tax climate index of the federal states in the United States in 2025. The State Tax Business Climate Index is a measure of how each state's tax law affect economic performance. In 2025, the states of South Dakota and Wyoming ranked *** both with the score of ****, which indicates that it has the best business climate in the United States. In contrast to that, New York has the worst business climate with the score of ****.

This chart provides the indexation factors used in determining the federal and provincial (except Manitoba, Nova Scotia, Prince Edward Island and Quebec) tax brackets and certain tax credits for the 2014 Income Tax and Benefit Returns. It also provides the 2014 tax rates and tax brackets for the calculation of federal and provincial (except Quebec) taxes.

Graph and download economic data for Producer Price Index by Industry: Offices of Certified Public Accountants: Tax Preparation and Planning (PCU5412115412115) from Jun 1995 to Aug 2025 about public, accounting, tax, PPI, industry, inflation, price index, indexes, price, and USA.

The dataset, named "Tax Complexity and Economic Development Dataset," explores the relationship between tax complexity and the economic development of nations. The data covers the years 2016 to 2022 and comprises the following columns:

Country: Name of the country. Year: Year of the data. Tax Complexity Index: Index measuring the overall complexity of a country's tax system. Tax Complexity Index Rank: Rank of the country based on the Tax Complexity Index. Tax Code Complexity: Complexity inherent in different regulations of the tax code. Tax Code Complexity Rank: Rank of the country based on Tax Code Complexity. Tax Framework Complexity: Complexity arising from features and processes of a tax system. Tax Framework Complexity Rank: Rank of the country based on Tax Framework Complexity. Additional Taxes Complexity: Complexity of taxes levied on multinational corporations (MNCs) in addition to corporate income taxes. Additional Taxes Rank: Rank of the country based on Additional Taxes Complexity. (Alternative) Minimum Tax Complexity: Separate income tax regulations to ensure that an MNC pays at least a minimum amount of taxes. (Alternative) Minimum Tax Rank: Rank of the country based on (Alternative) Minimum Tax Complexity. Capital Gains Complexity: Complexity related to capital gains realized by an MNC on the disposal of non-inventory assets. Capital Gains Rank: Rank of the country based on Capital Gains Complexity. CFC-Rules Complexity: Regulations to combat profit shifting to companies in low- or no-tax jurisdictions controlled by an MNC. CFC-Rules Rank: Rank of the country based on CFC-Rules Complexity. Corporate Reorganization Complexity: Complexity related to the change in the structure or ownership of an MNC through reorganization. Corporate Reorganization Rank: Rank of the country based on Corporate Reorganization Complexity. Depreciation Complexity: Deductions for allocating the costs of assets over their useful lives. Depreciation Rank: Rank of the country based on Depreciation Complexity. Dividends Complexity: Complexity of cash dividends received or paid by an MNC. Dividends Rank: Rank of the country based on Dividends Complexity. General Anti-Avoidance Complexity: Broad regulations denying the benefit of a transaction designed to avoid taxes. General Anti-Avoidance Rank: Rank of the country based on General Anti-Avoidance Complexity. Group Treatment Complexity: Regime allowing the grouping of profits and losses of associated companies. Group Treatment Rank: Rank of the country based on Group Treatment Complexity. Interest Complexity: Complexity of interest payments received or paid by an MNC. Interest Rank: Rank of the country based on Interest Complexity. Investment Incentives Complexity: Measures designed to encourage investment and promote innovation. Investment Incentives Rank: Rank of the country based on Investment Incentives Complexity. Loss Offset Complexity: Form of relief for ordinary losses incurred. Loss Offset Rank: Rank of the country based on Loss Offset Complexity. Royalties Complexity: Complexity of payments for the use of intellectual property. Royalties Rank: Rank of the country based on Royalties Complexity. Statutory Tax Rate Complexity: Complexity of the tax rate that applies to MNCs' determined taxable income. Statutory Tax Rate Rank: Rank of the country based on Statutory Tax Rate Complexity. Transfer Pricing Complexity: Regulations to prevent prices from being charged to a subsidiary to excessively reduce taxable income. Transfer Pricing Rank: Rank of the country based on Transfer Pricing Complexity. Guidance Complexity: Guidance provided by the tax authority or other laws to resolve uncertain tax issues. Guidance Rank: Rank of the country based on Guidance Complexity. Enactment Complexity: Complexity of the formal process of how a tax proposal becomes law. Enactment Rank: Rank of the country based on Enactment Complexity. Payment & Filing Complexity: Process of preparing and filing a tax return as well as paying taxes. Payment & Filing Rank: Rank of the country based on Payment & Filing Complexity. Audits Complexity: Complexity of the examination and verification of a tax return carried out by the tax authority. Audits Rank: Rank of the country based on Audits Complexity. Appeals Complexity: Complexity of the process of challenging a tax assessment. Appeals Rank: Rank of the country based on Appeals Complexity. Country Code: Code representing the country. Taxes on income, profits and capital gains (% of total taxes): Percentage of total taxes levied on income, profits, and capital gains. GDP growth (annual %): Annual percentage growth rate of GDP at market price...

Indonesia PT Bank Index Selindo: Income Tax data was reported at 11.085 IDR bn in Jun 2019. This records an increase from the previous number of 7.499 IDR bn for May 2019. Indonesia PT Bank Index Selindo: Income Tax data is updated monthly, averaging 11.986 IDR bn from Jan 2010 (Median) to Jun 2019, with 114 observations. The data reached an all-time high of 39.983 IDR bn in Dec 2016 and a record low of 0.591 IDR bn in Jan 2010. Indonesia PT Bank Index Selindo: Income Tax data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Banking Sector – Table ID.KBC045: Foreign Exchange Bank: Income Statement: PT Bank Index Selindo.

The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

This table contains figures about the price developments of a package of goods and services purchased by the average Dutch household, also known as the consumer price index (CPI). The table also includes the derived consumer price index: this price index excludes the effect of changes in the rates of product-related taxes (e.g. VAT and excise duty on alcohol and tobacco) and subsidies and consumption-related taxes (e.g. motor vehicle tax).

The table also includes the month-on-month and year-on-year changes of the CPI. The year-on-year change of total consumer expenditures is known as inflation. The figures are shown for 338 product groups in 2025. Furthermore, 34 combinations of product groups (special aggregates) are displayed in the table. The weighting coefficient shows how much Dutch consumers spend on each product group in relation to their total expenditure. The total weighting is 100,000.

CPI figures are published every month. In addition, an annual figure is published at the end of the year. The CPI of a calendar year is calculated as the average of the indices of the twelve months of that year.

Data available from: January 1996.

Status of the figures: Figures of the flash estimate are published at the end of a reporting month, or shortly thereafter. At the flash estimate, annual rates of change and monthly rates of change are made available for the all items category and for a selection of special aggregates. These figures are calculated on the basis of still incomplete source data. These figures are not suitable for indexation purposes. Therefore, the publication of the flash estimate does not include indices. The rates of change of the flash estimate are characterized as provisional.

The flash estimate is followed by the first publication of all indices and rates of change for the reporting month. These figures are also provisional. The figures for that same reporting month become final one month later. Differences between the provisional and final indices are caused by source material that has become available after the provisional publication.

Changes compared with previous version: Data on the most recent period have been added and/or adjustments have been implemented.

Changes as of 13 February 2025: Starting in the reporting month of January 2025, price changes will be published for expenditure categories 053290 Other small electric household appliances and 103000 Post-secondary non-tertiary education. The base period for this new index series is December 2024. This means that the index level of 100 is the price level measured in December 2024.

Changes as of 8 February 2024: Starting in the reporting month of January 2024, a price change will be published for expenditure category 063000 Hospital Services. The base period for this new index series is December 2023. This means that the index level of 100 is the price level measured in December 2023. Previously, between 2006 and 2009, an index was published for the same expenditure category. The base year for that index series was 2006=100. It was discontinued after December 2009. The current series starts again from 100 in December 2023.

Changes as of 1 June 2016: For all series new data is added for the period 1996 to January 2015. To complete the data, the existing series that were terminated before 2015 are added to the table.

This concerns the series: 2006=100: 011320 Frozen fish 031100 Clothing materials 031420 Repair and hire of clothing 032200 Repair and hire of footwear 043210 Services of plumbers 043230 Maintenance of heating systems 043250 Services of carpenters 043290 Oth. maint. services for dwell. 051300 Repair of furniture etc. 053190 Other major household appliances 063000 Services of hospitals 091420 Unrecorded recording media 094240 Hire of equipment for culture 096010 Package domestic holidays 2000=100: 134000 Real estate tax

These series do not have base year 2015=100. 2006=100 and 2000=100 are added for these series. When another base year applies, it is mentioned explicitly in the description.

When will new figures be published? The figures of the flash estimate are published on the last working day of the month to which the figures relate, or shortly thereafter.

The new indices are usually published between the first and second Thursday of the month following on the reporting month. The figures of the previous reporting month then become final.

All CPI publications are announced on the publication calendar.

Graph and download economic data for Producer Price Index by Industry: Offices of Lawyers: Tax Legal Services (PCU541110541110901) from Dec 2014 to Sep 2025 about legal, tax, services, PPI, industry, inflation, price index, indexes, price, and USA.

The Los Angeles Index of Neighborhood Change is a tool that allows users to explore the extent to which Los Angeles Zip Codes have undergone demographic change from 2000 to 2014. Created in 2015/2016, the data comes from 2000, 2005, 2013, and 2014. Please read details about each measure for exact years.Index scores are an aggregate of six demographic measures indicative of gentrification. The measures are standardized and combined using weights that reflect the proportion of each measure that is statistically significant.Measure 1: Percent change in low/high IRS filer ratio. For the purposes of this measure, High Income = >$75K Adjust Gross Income tax filer and Low Income = <$25k filers who also received an earned income tax credit. Years Compared for Measure 1: 2005 and 2013 | Source: IRS Income Tax Return DataMeasure 2: Change in percent of residents 25 years or older with Bachelor's Degrees or HigherMeasure 3: Change in percent of White, non-Hispanic/Latino residentsMeasure 4: Percent change in median household income (2000 income is adjusted to 2014 dollars)Measure 5: % Change in median gross rent (2000 rent is adjusted to 2013/2014 dollars)Measure 6: Percent change in average household size Year Compared for Measures 2-5: 2000 and 2014, Measure 6: 2013Sources: Decennial Census, 2000 | American Community Survey (5-Year Estimate, 2009-2013; 2010; 2014)Date Updated: December 13, 2016Refresh Rate: Never - Historical data

Replication dataset for "Effective corporate income taxation and its effect on capital accumulation: Cross-country evidence"

Abstract It is debated to what extent corporate taxation discourages capital formation, and the related empirical cross-country evidence is inconclusive. This paper provides new insights into this matter for a large sample of developed and developing countries. In a first step, national accounts data is used to calculate backward-looking effective corporate income tax rates (ECTR) for 77 countries during 1995–2018. In a second step, dynamic panel data regressions are used to estimate the effect of ECTR on aggregate corporate investment. The main findings of this exercise are that (i) statutory corporate income tax rates (SCTR), on average, are twice as high as ECTR, (ii) average ECTR have been relatively stable but show distinct dynamics across countries, and (iii) no significant negative relationship exists between ECTR and aggregate corporate investment. The latter finding is robust to different specifications and samples and when publicly available SCTR or forward-looking effective tax rate measures are used as alternative tax rate proxies.

Germany Advance Turnover Tax Return Index: swda data was reported at 125.900 2015=100 in Jul 2020. This records an increase from the previous number of 123.600 2015=100 for Jun 2020. Germany Advance Turnover Tax Return Index: swda data is updated monthly, averaging 112.500 2015=100 from Jan 2015 (Median) to Jul 2020, with 67 observations. The data reached an all-time high of 132.500 2015=100 in Feb 2020 and a record low of 97.900 2015=100 in Jan 2015. Germany Advance Turnover Tax Return Index: swda data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.F006: Advance Turnover Tax Returns Index: Seasonally and Working Day Adjusted.

In the fiscal year 2023, with the national average set at 100, the per capita local tax revenue of Tokyo prefecture stood at ***** index points, representing about *** times the amount of Nagasaki prefecture.

This table contains 26 series, with data for years 1961 - 1992 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic Region; Eastern Canada; Prince Edward Island ...), Price index (1 items: Property taxes ...), Index year (2 items: 1981=100; 1986=100 ...).