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

Graph and download economic data for Federal government current tax receipts: Taxes on production and imports: Customs duties (B235RC1A027NBEA) from 1929 to 2024 about receipts, imports, tax, federal, production, government, GDP, and USA.

This data package includes the underlying data to replicate the charts, tables, and calculations presented in The US Revenue Implications of President Trump’s 2025 Tariffs, PIIE Briefing 25-2.

If you use the data, please cite as:

McKibbin, Warwick, and Geoffrey Shuetrim. 2025. The US Revenue Implications of President Trump’s 2025 Tariffs. PIIE Briefing 25-2. Washington: Peterson Institute for International Economics.

In the United States, the revenue from customs duty amounted to 80 billion U.S. dollars in 2023. The forecast predicts a slight increase in customs duty revenue to 97 billion U.S. dollars in 2024, and an increase over the next decade to 96 billion U.S. dollars by 2034.

The Household Impacts of Tariffs (HIT) simulation tool enables users to simulate how changes in import tariffs impact the incomes of households across the income distribution. The website provides estimates of (i) price changes induced by tariff reforms, and (ii) the resulting impact on the real income of households in different percentiles of the income distribution via their impact on (iii) the cost of consumption and (iv) their incomes using detailed data on households’ income and consumption portfolios derived from representative household surveys harmonized with tariff data.

This data package includes the underlying data files to replicate the data, tables, and charts presented in Why Trump’s tariff proposals would harm working Americans, PIIE Policy Brief 24-1.

If you use the data, please cite as: Clausing, Kimberly, and Mary E. Lovely. 2024. Why Trump’s tariff proposals would harm working Americans. PIIE Policy Brief 24-1. Washington, DC: Peterson Institute for International Economics.

This paper characterizes the trade-off between the income gains and the inequality costs of trade using survey data for 54 developing countries. Tariff data on agricultural and manufacturing goods are combined with household survey data on detailed income and expenditure patterns to estimate the first-order effects of the elimination of import tariffs on household welfare. The paper assesses how these welfare effects vary across the distribution by estimating impacts on the consumption of traded goods, wage income, farm and non-farm family enterprise income, and government transfers. For each country, the income gains and the inequality costs of trade liberalization are quantified and the trade-offs between them are assessed using an Atkinson social welfare index. The analysis finds average income gains from import tariff liberalization in 45 countries and average income losses in nine countries. Across countries in the sample, the gains from trade are 1.9 percent of real household expenditure on average. We find overwhelming evidence of a trade-off between the income gains (losses) and the inequality costs (gains), which arise because trade tends to exacerbate income inequality: 45 countries face a trade-off, while only nine do not. The income gains typically more than offset the increase in inequality. In the majority of developing countries, the prevailing tariff structure thus induces sizable welfare losses

Ford Motor Co. projects a $1.5 billion profit decrease this year, attributing it to tariffs and trade policy uncertainties, while emphasizing its US production advantage.

Indices of tariff earnings, weekly working hours: Early federal territory/New Länder, years, economic sectors

This table represents the breakdown of tax refunds by recipient (individual vs business) and type (check vs electronic funds transfer). Tax refunds are also represented as withdrawals in the Deposits and Withdrawals of Operating Cash table. All figures are rounded to the nearest million. As of February 14, 2023, Table VI Income Tax Refunds Issued was renamed to Table V Income Tax Refunds Issued within the published report.

This study investigates the effects of rule of origin (ROOs) and tariff margin on China-ASEAN Free Trade Agreement (CAFTA) utilization. Using a sample of 40,474 product-level observations with China’s imports from ASEAN countries during the period 2015 to 2021 and adopting the Logit model estimation methods, we found that larger tariff margin positively affects the use of CAFTA, whereas, the rules of origin show a negative effect on the CAFTA utilization. In order to assess the specific impact of two effects, we also calculate the relative contribution of these two effects to the CAFTA utilization by ASEAN countries, and the results show that the rules of origin play a more important role on the CAFTA utilization by each ASEAN country. Moreover, based on heterogeneity analysis, we also find that ROOs play an important role in the use of FTA by lower middle-income countries and the tariff margin play an important role in the use of FTA by upper middle-income and high-income countries. Based on the above findings, the study proposes some policy recommendations on how to increase the CAFTA utilization by reducing the ROO costs and accelerating tariff reductions.

These tools are designed to inform high level thinking around micro-grid load and tariff considerations in sub-Saharan Africa. There are two related tools in this dataset:

1. Microgrid REopt LCOE Results Explorer. The purpose of this tool is to display levelized cost of electricity (LCOE) modeling results for representative micro-grid systems serving a rural village with 100 micro-grid connected homes, two shops, and one school. Cost-based modeling of these systems was done using NREL's REopt tool. REopt is a techno-economic decision support model used to determine the optimal selection, sizing, and dispatch strategy of candidate technologies such that site energy requirements are met at the minimum life-cycle cost.

This tool allows the user to see how the optimized LCOE for different micro-grid configurations change as a wide range of input parameters vary. Available toggles include geographical location, fuel prices, discount rates, level of planned reliability, load profile, technology costs, distribution system costs, and other soft costs. Furthermore, a breakdown of the LCOE is provided showing how different cost components contribute to the final LCOE. This tool can be used to obtain a better understanding of what cost-reflective tariffs in sub-Saharan micro-grid systems must be for different combinations of technical and economic project assumptions in order for developers to recover costs and attract investment. The modeled LCOE can also be compared to existing tariff structures and provide insight into the scale of subsidies and grants necessary to make micro-grid projects economically viable under current regulatory structures.

1. Microgrid Load Profile Explorer. The purpose of this tool is to provide hourly electrical load profiles for various household types (i.e., high income, medium income, and low income households) and for various commercial entities (i.e., water pumping for irrigation, grain milling, small shops, schools, clinics, and street lighting) that are commonly found in rural Sub-Saharan Africa. This tool allows the user to input the number of households, types of households, and number of commercial entities in order to see how the hourly electrical load profile changes and to see how the maximum and minimum electrical load changes.

Persons between 16 and 75 years of age who lived in private households at the time of recruitment

In 2023, the total revenues of the U.S. government totaled around 4.44 trillion U.S. dollars. Revenues consist of individual and corporate income taxes, payroll taxes and other taxes. Individual income taxes amounted to 2.18 trillion U.S. dollars in 2023, whereas corporate income taxes totaled 420 billion U.S. dollars.

Despite recent reforms, world agricultural markets remain highly distorted by government policies. Traditional indicators of those price distortions can be poor guides to the policies' economic effects. Recent theoretical literature provides indicators of trade and welfare-reducing effects of price and trade policies which this paper builds on to develop more-satisfactory indexes. The authors exploit a new Agricultural Distortion database to generate estimates of them for developing and high-income countries over the past half century. These better approximations of the trade and welfare effects of sector policies are generated without a formal model of global markets or even price elasticity estimates.

This study investigates the effects of rule of origin (ROOs) and tariff margin on China-ASEAN Free Trade Agreement (CAFTA) utilization. Using a sample of 40,474 product-level observations with China’s imports from ASEAN countries during the period 2015 to 2021 and adopting the Logit model estimation methods, we found that larger tariff margin positively affects the use of CAFTA, whereas, the rules of origin show a negative effect on the CAFTA utilization. In order to assess the specific impact of two effects, we also calculate the relative contribution of these two effects to the CAFTA utilization by ASEAN countries, and the results show that the rules of origin play a more important role on the CAFTA utilization by each ASEAN country. Moreover, based on heterogeneity analysis, we also find that ROOs play an important role in the use of FTA by lower middle-income countries and the tariff margin play an important role in the use of FTA by upper middle-income and high-income countries. Based on the above findings, the study proposes some policy recommendations on how to increase the CAFTA utilization by reducing the ROO costs and accelerating tariff reductions.

In 2024, Chinese exports of trade goods to the United States amounted to about 438.95 billion U.S. dollars; a significant increase from 1985 levels, when imports from China amounted to about 3.86 billion U.S. dollars. U.S. exports to China Compared to U.S. imports from China, the value of U.S. exports to China in 2020 amounted to 427.23billion U.S. dollars. China is the United States’ largest trading partner, while China was the United States third largest goods export market. Some of the leading exports to China in the agricultural sector included soybeans, cotton, and pork products. Texas was the leading state that exported to China in 2020 based on total value of goods exports, at 16.9 billion U.S. dollars. U.S. - China trade war The trade war between the United States and China is an economic conflict between two of the world’s largest national economies. It started in 2018 when U.S. President Donald Trump started putting tariffs and trade barriers on China, with the intent to get China to conform to Trump’s wishes. President Trump claimed that China has unfair trade businesses. As a result of this trade war, it has caused a lot of tension between the U.S. and China. Nearly half of American companies impacted by the U.S.-China trade tariffs said that the trade war increased their cost of manufacturing. The healthcare product industry has suffered the most from the trade war in regards to reduced profits.