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.

Hong Kong HK: Tariff Rate: Applied: Simple Mean: Manufactured Products data was reported at 0.000 % in 2016. This stayed constant from the previous number of 0.000 % for 2015. Hong Kong HK: Tariff Rate: Applied: Simple Mean: Manufactured Products data is updated yearly, averaging 0.000 % from Dec 1988 (Median) to 2016, with 22 observations. Hong Kong HK: Tariff Rate: Applied: Simple Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong – Table HK.World Bank: Trade Tariffs. Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

China recorded a trade surplus of 114.77 USD Billion in June of 2025. This dataset provides - China Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The United States recorded a trade deficit of 71.52 USD Billion in May of 2025. This dataset provides the latest reported value for - United States Balance of Trade - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Macau MO: Tariff Rate: Most Favored Nation: Simple Mean: Manufactured Products data was reported at 0.000 % in 2016. This stayed constant from the previous number of 0.000 % for 2015. Macau MO: Tariff Rate: Most Favored Nation: Simple Mean: Manufactured Products data is updated yearly, averaging 0.000 % from Dec 1996 (Median) to 2016, with 21 observations. Macau MO: Tariff Rate: Most Favored Nation: Simple Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Macau – Table MO.World Bank: Trade Tariffs. Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

Techsalerator’s Import/Export Trade Data for Asia

Techsalerator’s Import/Export Trade Data for Asia offers a comprehensive and detailed examination of trade activities across the Asian continent. This extensive dataset provides deep insights into import and export transactions involving companies across various sectors throughout Asia.

Coverage Across All Asian Countries

The dataset encompasses a broad range of countries within Asia, including:

Central Asia:

Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia:

China Hong Kong Japan Mongolia North Korea South Korea Taiwan Southeast Asia:

Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam South Asia:

Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka West Asia (Middle East):

Armenia Azerbaijan Bahrain Cyprus Georgia Iran Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey United Arab Emirates Yemen Comprehensive Data Features

Transaction Details: The dataset includes detailed information on individual trade transactions, such as product descriptions, quantities, values, and dates. This level of detail allows for accurate tracking and analysis of trade patterns across Asia.

Company Information: It provides insights into the companies involved in trade, including their names, locations, and industry sectors. This information supports targeted market analysis and competitive intelligence.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners, helping users understand market dynamics and sector-specific trends across diverse Asian economies.

Trade Trends: Historical data is available to analyze trade trends, identify emerging markets, and assess the impact of economic or geopolitical events on trade flows within the region.

Geographical Insights: Users can explore regional trade flows and cross-border dynamics between Asian countries and their global trade partners, including major trading nations outside the continent.

Regulatory and Compliance Data: Information on trade regulations, tariffs, and compliance requirements is included, assisting businesses in navigating the complex regulatory environments across different Asian countries.

Applications and Benefits

Market Research: Businesses can use the data to identify new market opportunities, assess competitive landscapes, and understand consumer demand across various Asian countries.

Strategic Planning: Companies can leverage insights from the data to refine trade strategies, optimize supply chains, and manage risks associated with international trade in Asia.

Economic Analysis: Analysts and policymakers can monitor economic performance, evaluate trade balances, and make informed decisions on trade policies and economic development initiatives.

Investment Decisions: Investors can assess trade trends and market potentials to make informed decisions about investments in Asia’s diverse and rapidly evolving markets.

Techsalerator’s Import/Export Trade Data for Asia provides a vital resource for organizations involved in international trade, offering a detailed, reliable, and expansive view of trade activities across the Asian continent.

Macau MO: Tariff Rate: Applied: Simple Mean: Primary Products data was reported at 0.000 % in 2016. This stayed constant from the previous number of 0.000 % for 2015. Macau MO: Tariff Rate: Applied: Simple Mean: Primary Products data is updated yearly, averaging 0.000 % from Dec 1996 (Median) to 2016, with 21 observations. Macau MO: Tariff Rate: Applied: Simple Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Macau SAR – Table MO.World Bank.WDI: Trade Tariffs. Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

Iron Ore CNY fell to 785 CNY/T on July 18, 2025, down 1.57% from the previous day. Over the past month, Iron Ore CNY's price has risen 12.22%, but it is still 2.42% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Iron Ore CNY.

Macau MO: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 0.000 % in 2016. This stayed constant from the previous number of 0.000 % for 2015. Macau MO: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 0.000 % from Dec 1996 (Median) to 2016, with 21 observations. Macau MO: Tariff Rate: Applied: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Macau – Table MO.World Bank: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;