Techsalerator’s Import/Export Trade Data for North America

Techsalerator’s Import/Export Trade Data for North America delivers an exhaustive and nuanced analysis of trade activities across the North American continent. This extensive dataset provides detailed insights into import and export transactions involving companies across various sectors within North America.

Coverage Across All North American Countries

The dataset encompasses all key countries within North America, including:

1. United States

The dataset provides detailed trade information for the United States, the largest economy in the region. It includes extensive data on trade volumes, product categories, and the key trading partners of the U.S. 2. Canada

Data for Canada covers a wide range of trade activities, including import and export transactions, product classifications, and trade relationships with major global and regional partners. 3. Mexico

Comprehensive data for Mexico includes detailed records on its trade activities, including exports and imports, key sectors, and trade agreements affecting its trade dynamics. 4. Central American Countries:

Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama The dataset covers these countries with information on their trade flows, key products, and trade relations with North American and international partners. 5. Caribbean Countries:

Bahamas Barbados Cuba Dominica Dominican Republic Grenada Haiti Jamaica Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Trinidad and Tobago Trade data for these Caribbean nations includes detailed transaction records, sector-specific trade information, and their interactions with North American trade partners. Comprehensive Data Features

Transaction Details: The dataset includes precise details on each trade transaction, such as product descriptions, quantities, values, and dates. This allows for an accurate understanding of trade flows and patterns across North America.

Company Information: It provides data on companies involved in trade, including names, locations, and industry sectors, enabling targeted business analysis and competitive intelligence.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners, offering insights into market dynamics and sector-specific trends within North America.

Trade Trends: Historical data helps users analyze trends over time, identify emerging markets, and assess the impact of economic or political events on trade flows in the region.

Geographical Insights: The data offers insights into regional trade flows and cross-border dynamics between North American countries and their global trade partners, including significant international trade relationships.

Regulatory and Compliance Data: Information on trade regulations, tariffs, and compliance requirements is included, helping businesses navigate the complex regulatory environments within North America.

Applications and Benefits

Market Research: Companies can leverage the data to discover new market opportunities, analyze competitive landscapes, and understand demand for specific products across North American countries.

Strategic Planning: Insights from the data enable companies to refine trade strategies, optimize supply chains, and manage risks associated with international trade in North America.

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

Investment Decisions: Investors can assess trade trends and market potentials to make informed decisions about investments in North America's diverse economies.

Techsalerator’s Import/Export Trade Data for North America offers a vital resource for organizations involved in international trade, providing a thorough, reliable, and detailed view of trade activities across the continent.

The United States recorded a trade deficit of 78.31 USD Billion in July 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.

This dataset was generated by the Knowledge team in the Inter-American Development Bank’s Water and Sanitation division from publicly available information to allow for the characterization and comparison of tariff systems and subsidies. It contains data on residential drinking water supply and sanitation tariffs, and includes data on subsidies, tariff types, metering, and more.

The tariff dataset has been simplified and made available to the public via the Water and Sanitation Observatory for Latin America and the Caribbean (OLAS), consistent with the OLAS’s goals to provide consistent, reliable, and updated data to understand the water and sanitation sector at the national and regional levels, within the framework of SDG 6.

For more information about this process and general trends in the dataset please see "How Much Do Households Pay for Water Supply and Sanitation Services in Latin America? A Descriptive Analysis of Tariffs and Subsidies in the Region."

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

ABSTRACT This paper contributes by encouraging discussions about the public policy of setting tariffs for public services based on the value of the investment made by the providers of these services. The purpose of this study was, in an unprecedented way and by combining theories of equity valuation and finance, to identify the asset valuation method that can lead to a fair value and balance between an affordable price for the consumer and an adequate return on investment for the concessionaires. The value assigned to these assets affects the tariff in two ways: (i) via depreciation/amortization, which affects the cost of service; (ii) via the return on investment, which is the portion that corresponds to the investor’s profit. We analyzed the Brazilian electricity sector, in which the rates set by the Brazilian Electricity Regulatory Agency (ANEEL) currently use the new replacement value (NRV) approach. We carried out empirical tests using data available on the ANEEL website from the second cycle periodic tariff review and information obtained in financial statements from 1995 onwards. The analysis included the NVR and restated historical cost (RHC) methods, the latter being updated by the extended consumer price index (IPCA). After the descriptive and statistical analyses, we used the test of means to verify the differences between the variables in terms of NRV vs. RHC. The first conclusion was the absence of a significant difference between the NRV and RHC methods; that is, on average, the replacement price showed no significant difference to what would be the pure and simple restatement of assets. But this was found to hide something relevant, the fact that this average is derived from two main groups: that of the consumers who are paying more for energy services than they should, which constitutes a visible benefit to investors and loss for these consumers, and that of the consumers who are paying less than they should, which benefits them but harms investors.

This research note presents a new dataset on the speed of tariff liberalization in sixty-one preferential trade agreements (PTAs) signed by fifty states and regional economic organizations over the period 1995 to 2013. We use this dataset to test prominent arguments concerning the impact of intra-industry trade and global value chains on the political economy of trade. Our results indicate that the speed of tariff liberalization through PTAs is considerably faster for intermediate goods than for finished products. This is in line with the most prominent argument about how global value chains affect the political economy of trade liberalization. At the same time, we find mixed evidence for the impact of intra-industry trade on the ease of trade liberalization, which reflects strong cross-country variation. We conclude with a discussion on how the dataset can help tackle important questions in international political economy and inform ongoing debates on trade agreements.

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.

Techsalerator’s Import/Export Trade Data for Latin America

Techsalerator’s Import/Export Trade Data for Latin America delivers an extensive and detailed analysis of trade activities throughout the Latin American region. This comprehensive dataset provides valuable insights into import and export transactions involving companies across various sectors within Latin America.

Coverage Across All Latin American Countries

The dataset encompasses all countries in Latin America, including:

Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Additionally, it includes countries in Central America and the Caribbean:

Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Cuba Dominican Republic Haiti Jamaica Trinidad and Tobago Comprehensive Data Features

Transaction Details: The dataset provides detailed information on individual trade transactions, including product descriptions, quantities, values, and dates. This allows for precise tracking of trade flows and patterns.

Company Information: It includes specific details about the companies involved in trade, such as company names, locations, and industry sectors, facilitating targeted market research and business analysis.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners. This helps in understanding market dynamics and sector-specific trends within the region.

Trade Trends: Users can analyze historical data to observe trends and shifts in trade volumes, identify emerging markets, and assess the impact of economic or political events on trade patterns.

Geographical Insights: The data offers insights into regional trade flows and the relationships between Latin American countries and their global trade partners, including major trading nations outside the region.

Regulatory and Compliance Data: The dataset includes information on trade regulations, tariffs, and compliance requirements, aiding businesses in navigating the regulatory landscape of international trade within Latin America.

Applications and Benefits

Market Research: Businesses can utilize the data to uncover new market opportunities, analyze competitive landscapes, and understand consumer demand across various Latin American countries.

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

Economic Analysis: Analysts and policymakers can use the data to 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 Latin America’s diverse economies.

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

The National Forest Taxation is a nationwide, annual sampling inventory of the country’s forests, which has been ongoing since 1923. The main objective is to provide relevant input to forest policy, but also to the forestry sector and forest research. Over the years, practices have changed and the content has been extended beyond purely forest. Thus, the inventory of the types of land that can be transferred to forest land has been expanded and its content has become more extensive. It can be said that the inventory has become more and more ecological and environmental information, a development which, moreover, is likely to continue. Statistics and data from the National Forest Taxation are used in a number of contexts. The main use, and at the same time the starting point for the tax assessment in the 1920s, is to serve as a basis for shaping the country’s forest policy. Significant users are the authorities responsible for designing and monitoring forest and environmental policy, in particular the National Board of Forestry and the Swedish Environmental Protection Agency. County bodies such as county administrative boards use statistics in county plans for forests and the environment. Other important uses include research into forests and the environment, as well as as speculative and working materials in teaching. The statistics are also used as a basis for planning and decision-making by companies and trade associations such as the LRF Forest Owners and Forestry Industries. The National Forest Taxation is carried out as a sample inventory. The method is described under the ‘history of development’. This is the series of data sets created by the National Forest Taxation. The data set is made up of the following statistical products: ‘Gran — timber stores m3sk per hectare’, ‘Tall — storel m3sk per hectare’, ‘Other leaves — timber stores m3sk per hectare’, ‘Total stock of timber m3sk per hectare’, ‘Red wood — timber store m3sk per hectare’, ‘Proportion of mooring forest’, ‘Andel Galling forest’, ‘Percentage of luxury forest’ & ‘percentage of agricultural forest’ & ‘crop year’. ‘Björk — timber store m3sk per hectare’, ‘mean growth m3sk per ha per year’

India Imports from United States was US$38.99 Billion during 2024, according to the United Nations COMTRADE database on international trade. India Imports from United States - data, historical chart and statistics - was last updated on September of 2025.