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.

Techsalerator’s Import/Export Trade Data for United States's $26.9 trillion economy provides a detailed and insightful collection of information on international trade activities involving companies in United States.

To obtain Techsalerator’s Import/Export Trade Data for the United States, please reach out to info@techsalerator.com with your requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Techsalerator's Import/Export Trade Data for the United States offers a rich and detailed collection of information crucial for businesses, investors, and trade analysts. This dataset provides a thorough examination of trade activities, documenting and classifying import and export transactions across various U.S. industries. By integrating data from customs reports, trade agreements, and shipping records, the dataset delivers a comprehensive view of the U.S. trade landscape.

Key Data Fields

Company Name: Lists companies involved in trade transactions, helping identify potential partners or competitors and track industry-specific trade patterns. Trade Volume: Details the quantity or value of goods traded, offering insights into the scale and economic impact of trade activities. Product Category: Specifies the types of goods traded, such as raw materials or consumer products, aiding in understanding market demand and supply chain dynamics. Import/Export Country: Identifies the countries of origin or destination for traded goods, providing information on regional trade relationships and market access. Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time.

Top Trade Trends in the U.S.

Trade Deficit Dynamics: The U.S. continues to face a notable trade deficit, particularly with major partners like China and the European Union. Efforts are ongoing to address these imbalances through various policy measures and agreements. China-U.S. Trade Relations: The trade relationship with China remains pivotal, characterized by negotiations, tariffs, and agreements that impact global trade flows and supply chains. Shift Towards Regional Trade Agreements: There is a growing emphasis on regional agreements, such as the USMCA, which replaces NAFTA, reflecting a trend toward localized trade solutions. Growth in Technology and E-Commerce: Increased trade in technology products and a surge in e-commerce are reshaping trade patterns and logistics. Sustainability and Environmental Regulations: The U.S. is incorporating sustainability into trade policies, focusing on reducing carbon emissions and promoting green technologies. Notable Companies in U.S. Trade Data Apple Inc.: A major exporter of electronics and software, including iPhones and MacBooks, highlighting its significant role in U.S. trade. Amazon.com, Inc.: A leading e-commerce company with a substantial impact on international trade through its global sales and logistics network. Boeing Company: A key player in aerospace, exporting aircraft and components, contributing significantly to U.S. trade. Microsoft Corporation: Exporter of software, cloud services, and hardware, reflecting the importance of tech exports in the U.S. economy. ExxonMobil Corporation: A major exporter of energy products, including crude oil and refined products, impacting the energy sector of U.S. trade. Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for the United States, please reach out to info@techsalerator.com with your requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

Company Name Trade Volume Product Category Import/Export Country Transaction Date Shipping Details Customs Codes Trade Value

For detailed insights into U.S. import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

Level of impact of tariffs or trade barriers on business or organization, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2025.

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.

🇩🇪 독일 English The dataset contains an overview of the collectively agreed Christmas bonus in selected industries in NRW in 2024. In addition to the respective industry name, the data set contains information on the Christmas bonus, which is given in different units (percentage, euro, etc.) in accordance with the underlying collective agreements. The amount of the Christmas bonus is often staggered (e.g. by length of service), so that minimum and maximum values are specified in the data set for these cases. If there is a single fixed value in a particular sector, it is entered under ‘Maximum value’. Accordingly, under ‘Minimum value’, the entry ‘No value’. Conversely, if there is an entry under ‘Minimum value’ and under ‘Maximum value’, ‘No value’, the collective agreement identifies this value as the minimum tariff Christmas bonus. Graduations or other specifications are listed under ‘Special features/explanation’. Note: The overview is only a work aid. No liability can be assumed for the correctness of the content.

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 Europe

Techsalerator’s Import/Export Trade Data for Europe offers a meticulously detailed and expansive analysis of trade activities across the European continent. This robust data resource provides an in-depth examination of import and export transactions involving companies in a wide range of industries within the European Union (EU) and the broader European region.

Coverage Across All EU Countries

The dataset encompasses all 27 EU member countries, ensuring a comprehensive overview of trade dynamics across the region. This includes:

Austria Belgium Bulgaria Croatia Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden Comprehensive Data Features

Transaction Details: Each record in the dataset provides granular details on individual trade transactions, including the nature of goods or services exchanged, quantities, values, and transaction dates.

Company Information: Data includes specific information about the trading companies involved, such as company names, addresses, and sectors, allowing for targeted analysis and business insights.

Categorization: Transactions are categorized by industry sectors, product categories, and trade partners, providing clarity on market trends and sector-specific performance.

Trade Trends: The dataset includes historical trade trends and patterns, helping users analyze shifts in trade volumes, emerging markets, and economic impacts over time.

Geographical Insights: Users can explore regional trade flows and cross-border trade dynamics within the EU and with non-EU European countries.

Regulatory and Compliance Data: Information on relevant trade regulations, tariffs, and compliance requirements is included, assisting businesses in navigating the complex regulatory landscape of international trade.

Applications and Benefits

Market Research: Businesses can leverage the data to identify new market opportunities, track competitor activities, and assess the demand for specific products across different European regions.

Strategic Planning: Companies can use the insights to develop more effective trade strategies, optimize supply chains, and manage risks associated with international trade.

Economic Analysis: Analysts and policymakers can use the data to monitor economic performance, understand trade imbalances, and make informed decisions on trade policies and economic development initiatives.

Techsalerator’s Import/Export Trade Data for Europe is a vital tool for any organization involved in international trade, providing a detailed, reliable, and comprehensive view of the trade landscape across Europe.

Data availabilityThe datasets used in this study come from multiple sources.Product-level dataThe datasets of product-level trade flows used in this study are available from the United Nations Comtrade Database and are publicly accessible. The tariff datasets used in this study are available from the WTO Tariff Database and are publicly accessible. The macroeconomic indicators (such as GDP per capita and trade openness) used in this study are available from the World Bank and are publicly accessible.Firm-level dataThe datasets of firm-level financial information used in this study are available from the CSMAR (China Stock Market & Accounting Research) database, but restrictions apply to the availability of these data, which were used under licence for the current study and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of CSMAR.The datasets of firm-level textual and disclosure information used in this study are available from CNINFO, but restrictions apply to the availability of these data, which were used under licence for the current study and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of CNINFO.The datasets of additional firm-level indicators used in this study are available from the China Research Data Services Platform (CNRDS), but restrictions apply to the availability of these data, which were used under licence for the current study and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of CNRDS.The datasets of supplementary financial and market information used in this study are available from the Wind database, but restrictions apply to the availability of these data, which were used under licence for the current study and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of Wind.Code and constructed indicatorsThe compiled firm-level and industry-level indicators and the Stata and Python codes used for variable construction and empirical analysis are available from the corresponding author upon reasonable request.