The Personal Income Tax Rate in Pakistan stands at 35 percent. This dataset provides - Pakistan Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Pakistan PK: Total Tax Rate: % of Profit data was reported at 33.800 % in 2017. This records an increase from the previous number of 33.300 % for 2016. Pakistan PK: Total Tax Rate: % of Profit data is updated yearly, averaging 32.900 % from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 33.800 % in 2017 and a record low of 32.400 % in 2013. Pakistan PK: Total Tax Rate: % of Profit data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Company Statistics. Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxes or goods and service taxes) are excluded.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

The Corporate Tax Rate in Pakistan stands at 29 percent. This dataset provides - Pakistan Corporate Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

According to this forecast, the tax rate will stay nearly the same over the forecast period. The shown rate refers to the nominal standard sales tax rate (sometimes called value added tax) that is applied nation-wide. Usually, exceptions apply to certain product ranges and sometimes certain sales taxes are only levied regionally or locally. Regional and local sales taxes are not included here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the sales tax rate in countries like Sri Lanka and Nepal.

The Sales Tax Rate in Pakistan stands at 18 percent. This dataset provides - Pakistan Sales Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about Pakistan Tax Revenue

• Pakistan Tax Revenue was reported at 11.154 USD bn in Sep 2025.
• This is a decrease from the previous figure of 45.150 USD bn for Jun 2025.
• Pakistan Tax Revenue data is updated quarterly, averaging 15.617 USD bn from Sep 2000 to Sep 2025, with 101 observations.
• The data reached an all-time high of 45.150 USD bn in Jun 2025 and a record low of 1.472 USD bn in Sep 2001.
• Pakistan 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: Quarterly.

CEIC converts quarterly Tax Revenue into USD. The Ministry of Finance provides year-to-date Tax Revenue in local currency. The State Bank of Pakistan average market exchange rate is used for currency conversions.

The personal income tax rate in Bangladesh was forecast to remain on a similar level in 2029 as compared to 2024 with ** percent. According to this forecast, the rate will stay nearly the same over the forecast period. The shown rate refers to the nominal top marginal tax rate. Depending on income the actual rate usually varies individually.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the personal income tax rate in countries like Sri Lanka and Pakistan.

Time series data for the statistic Paying taxes: Total tax and contribution rate (% of profit) and country Pakistan. Indicator Definition:The total tax and contribution rate measures the amount of taxes and mandatory contributions borne by the business in the second year of operation, expressed as a share of commercial pro?t. The total amount of taxes and contributions borne is the sum of all the different taxes and contributions payable after accounting for allowable deductions and exemptions. The taxes withheld (such as personal income tax) or collected by the company and remitted to the tax authorities (such as VAT, sales tax or goods and service tax) but not borne by the company are excluded.

The personal income tax rate in India was forecast to remain on a similar level in 2029 as compared to 2024 with ** percent. According to this forecast, the rate will stay nearly the same over the forecast period. The shown rate refers to the nominal top marginal tax rate. Depending on income the actual rate usually varies individually.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the personal income tax rate in countries like Sri Lanka and Pakistan.

Pakistan: Income, profits, and capital gains taxes: percent of revenue: The latest value from 2000 is 19.03 percent, a decline from 22.69 percent in 1999. In comparison, the world average is 22.88 percent, based on data from 85 countries. Historically, the average for Pakistan from 1973 to 2000 is 13.65 percent. The minimum value, 8.99 percent, was reached in 1989 while the maximum of 22.69 percent was recorded in 1999.

Waseem, Mazhar, (2020) "Does Cutting the Tax Rate to Zero Induce Behavior Different from Other Tax Cuts? Evidence from Pakistan." Review of Economics and Statistics 102:3, 426–441.

The personal income tax rate in Sri Lanka was forecast to remain on a similar level in 2029 as compared to 2024 with ** percent. According to this forecast, the rate will stay nearly the same over the forecast period. The shown rate refers to the nominal top marginal tax rate. Depending on income the actual rate usually varies individually.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the personal income tax rate in countries like India and Pakistan.

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.

Pakistan PK: Industry Electricity Price: USD per kWh data was reported at 0.480 USD/kWh in 2020. This records an increase from the previous number of 0.420 USD/kWh for 2019. Pakistan PK: Industry Electricity Price: USD per kWh data is updated yearly, averaging 0.420 USD/kWh from Dec 2014 (Median) to 2020, with 7 observations. The data reached an all-time high of 0.520 USD/kWh in 2014 and a record low of 0.360 USD/kWh in 2018. Pakistan PK: Industry Electricity Price: USD per kWh 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 Pakistan – Table PK.OECD.GGI: Environmental: Environmental Policy, Taxes and Transfers: Non OECD Member: Annual.

Actual value and historical data chart for Pakistan Total Tax Rate Percent Of Profit

This line chart displays tax revenue (% of GDP) by date using the aggregation average, weighted by gdp in Pakistan. The data is about countries per year.

The author reports results from controlled laboratory experiments on the Laffer curve. Apart from studying the existence of the Laffer curve under exogenous taxation, he explores framing effects, productivity differences under the strategic method and the direct method, and cultural differences. The data collected in Japan and Pakistan delivers evidence for framing effects, although cognitively sophisticated participants doing well on the CRT questions are less prone to it. The average productivity is greater for the strategic method in the case of Pakistan, but there is no significant difference across the two methods in the case of Japan. On average, whether tasks are exogenously assigned or chosen by participants does not affect productivity. The author argues that the Laffer curve is not the result of a simple leisure-income tradeoff. Instead, the disutility of work and fairness perceptions related to taxation plays an important role on the work decisions. A simple behavioral model that incorporates these features induces a ‘fairness adjusted’ Laffer curve, with a negative relationship between tax rate and tax revenue in the 53–57% tax range.

This report focuses principally on three key dimensions of better public expenditure management in Pakistan. First, it is paramount to continue financial discipline and reduce the overall size of the public sector deficit, including the sizable losses of public enterprises. The modest progress made in reducing the government's fiscal deficit during the past few years has been undermined by the persistence of high level of losses of public enterprises, especially Water and Power Development Authority (WAPDA), and Karachi Electricity Supply Company (KESC). To reduce the unsustainable burden of public debt, the fiscal deficit, which has averaged 5.5 percent of GDP (excluding grants) and 3.4 percent (including grants) during the past three years, must be brought down further. Provision needs to be made for the large and continuing public enterprise losses and unfunded contingent liabilities of the public sector. A strong and successful government revenue mobilization effort, which will gradually raise the ratio of revenues from 17 percent of GDP (FY02) to say 20 percent over the next decade, remains central to restoring Pakistan's fiscal health. But as the experience of the past few years shows, the structural weakness in the taxation structure (relatively heavy dependence on trade taxes) and the institutional weaknesses in the tax collection machinery (especially on the income tax side) will continue to dampen revenue growth for some time. Thus it will be prudent to assume, at best, only moderate growth in the ratio of government revenues to GDP over the next five years. Even on the assumption of a steady increase in the ratio of government revenue to GDP, the growth in overall public spending in real terms will be modest over the next few years because of the need to reduce the deficit further and to fund public enterprise losses and contingent liabilities. Indeed, in the medium term overall public spending as a proportion of GDP is unlikely to increase from the level of 22 percent witnessed in recent years, even if grant assistance remains at a relatively high level.

In 2024, the budget balance in relation to the gross domestic product (GDP) in Pakistan stood at -6.81 percent. Between 1993 and 2024, the figure dropped by 1.28 percentage points, though the decline followed an uneven course rather than a steady trajectory. The forecast shows the budget balance will steadily grow by 3.98 percentage points from 2024 to 2030.The indicator describes the general government net lending / borrowing, which is calculated as revenue minus total expenditure. The International Monetary Fund defines the general government expenditure as consisting of total expenses and the net acquisition of nonfinancial assets. The general government revenue consists of the revenue from taxes, social contributions, grants receivable, and other revenue.

Key information about Pakistan Household Income per Capita

• Pakistan Annual Household Income per Capita reached 587.069 USD in Jun 2019, compared with the previous value of 650.644 USD in Jun 2016.
• Pakistan Annual Household Income per Capita data is updated yearly, available from Jun 2005 to Jun 2019, with an averaged value of 479.238 USD.
• The data reached an all-time high of 650.644 USD in Jun 2016 and a record low of 290.069 USD in Jun 2005.

*This indicator will be no longer available from March 2026, 4th onwards. CEIC has a plan to remove the non-standard frequency indicator after the standard frequency indicator has been added and be available on this table. CEIC calculates Annual Household Income per Capita from annual Monthly Average Household Income multiplied by 12 and annual Average Household Size and converts it into USD. The Pakistan Bureau of Statistics provides Average Household Income in local currency and Average Household Size. The State Bank of Pakistan average market exchange rate is used for currency conversions. Household Income per Capita is in annual frequency, ending in June of each year.