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.

Brazil Exports to United States was US$40.92 Billion during 2024, according to the United Nations COMTRADE database on international trade. Brazil Exports to United States - data, historical chart and statistics - was last updated on July of 2025.

This Dataset contains year, month-wise import data of all commodities at HS level 2 for Brazil. It has other details like quantity of export, value of export in Indian Rupees and US Dollars

51451 United States import shipment records of 4 from Brazil with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

This data set is a subset of the "Records of foreign capital" (Registros de capitais estrangeiros", RCE) published by the Central Bank of Brazil (CBB) on their website. The data set consists of three data files and three corresponding metadata files. All files are in openly accessible .csv or .txt formats. See detailed outline below for data contained in each. Data files contain transaction-specific data such as unique identifier, currency, cancelled status and amount. Metadata files outline variables in the corresponding data file. RCE_Unclean_full_dataset.csv - all transactions published to the Central Bank website from the four main categories outlined below Metadata_Unclean_full_dataset.csv RCE_Unclean_cancelled_dataset.csv - data extracted from the RCE_Unclean_full_dataset.csv where transactions were registered then cancelled Metadata_Unclean_cancelled_dataset.csvRCE_Clean_selection_dataset.csv - transaction data extracted from RCE_Unclean_full_dataset.csv and RCE_Unclean_cancelled_dataset.csv for the nine companies and criteria identified below Metadata_Clean_selection_dataset.csv The data include the period between October 2000 and July 2011. This is the only time span for the data provided by the Central Bank of Brazil at this stage. The records were published monthly by the Central Bank of Brazil as required by Art. 66 in Decree nº 55.762 of 17 February 1965, modified by Decree nº 4.842 of 17 September 2003. The records were published on the bank’s website starting October 2000, as per communique nº 011489 of 7 October 2003. This remained the case until August 2011, after which the amount of each transaction was no longer disclosed (and publication of these stopped altogether after October 2011). The disclosure of the records was suspended in order to review their legal and technical aspects, and ensure their suitability to the requirements of the rules governing the confidentiality of the information (Law nº 12.527 of 18 November 2011 and Decree nº 7724 of May 2012) (pers. comm. Central Bank of Brazil, 2016. Name of contact available upon request to Authors). The records track transfers of foreign capital made from abroad to companies domiciled in Brazil, with information on the foreign company (name and country) transferring the money, and on the company receiving the capital (name and federative unit). For the purpose of this study, we consider the four categories of foreign capital transactions which are published with their amount and currency in the Central Bank’s data, and which are all part of the “Register of financial transactions” (abbreviated RDE-ROF): loans, leasing, financed import and cash in advance (see below for a detailed description). Additional categories exist, such as foreign direct investment (RDE-IED) and External Investment in Portfolio (RDE-Portfólio), for which no amount is published and which are therefore not included. We used the data posted online as PDFs on the bank’s website, and created a script to extract the data automatically from these four categories into the RCE_Unclean_full_dataset.csv file. This data set has not been double-checked manually and may contain errors. We used a similar script to extract rows from the "cancelled transactions" sections of the PDFs into the RCE_Unclean_cancelled_dataset.csv file. This is useful to identify transactions that have been registered to the Central Bank but later cancelled. This data set has not been double-checked manually and may contain errors. From these raw data sets, we conducted the following selections and calculations in order to create the RCE_Clean_selection_dataset.csv file. This data set has been double-checked manually to secure that no errors have been made in the extraction process. We selected all transactions whose recipient company name corresponds to one of these nine companies, or to one of their known subsidiaries in Brazil, according to the list of subsidiaries recorded in the Orbis database, maintained by Bureau Van Dijk. Transactions are included if the recipient company name matches one of the following: - the current or former name of one of the nine companies in our sample (former names are identified using Orbis, Bloomberg’s company profiles or the company website); - the name of a known subsidiary of one of the nine companies, if and only if we find evidence (in Orbis, Bloomberg’s company profiles or on the company website) that this subsidiary was owned at some point during the period 2000-2011, and that it operated in a sector related to the soy or beef industry (including fertilizers and trading activities). For each transaction, we extracted the name of the company sending capital and when possible, attributed the transaction to the known ultimate owner. The name of the countries of origin sometimes comes with typos or different denominations: we harmonized them. A manual check of all the selected data unveiled that a few transactions (n=14), appear twice in the database while bearing the same unique identification number. According to the Central Bank of Brazil (pers. comm., November 2016), this is due to errors in their routine of data extraction. We therefore deleted duplicates in our database, keeping only the latest occurrence of each unique transaction. Six (6) transactions recorded with an amount of zero were also deleted. Two (2) transactions registered in August 2003 with incoherent currencies (Deutsche Mark and Dutch guilder, which were demonetised in early 2002) were also deleted. To secure that the import of data from PDF to the database did not contain any systematic errors, for instance due to mistakes in coding, data were checked in two ways. First, because the script identifies the end of the row in the PDF using the amount of the transaction, which can sometimes fail if the amount is not entered correctly, we went through the extracted raw data (2798 rows) and cleaned all rows whose end had not been correctly identified by the script. Next, we manually double-checked the 486 largest transactions representing 90% of the total amount of capital inflows, as well as 140 randomly selected additional rows representing 5% of the total rows, compared the extracted data to the original PDFs, and found no mistakes. Transfers recorded in the database have been made in different currencies, including US dollars, Euros, Japanese Yens, Brazilian Reais, and more. The conversion to US dollars of all amounts denominated in other currencies was done using the average monthly exchange rate as published by the International Monetary Fund (International Financial Statistics: Exchange rates, national currency per US dollar, period average). Due to the limited time period, we have not corrected for inflation but aggregated nominal amounts in USD over the period 2000-2011.

The categories loans, cash in advance (anticipated payment for exports), financed import, and leasing/rental, are those used by the Central Bank of Brazil in their published data. They are denominated respectively: “Loans” (“emprestimos” in original source) - : includes all loans, either contracted directly with creditors or indirectly through the issuance of securities, brokered by foreign agents. “Anticipated payment for exports” (“pagamento/renovacao pagamento antecipado de exportacao” in original source): defined as a type of loan (used in trade finance)“Financed import” (“importacao financiada” in original source): comprises all import financing transactions either direct (contracted by the importer with a foreign bank or with a foreign supplier), or indirect (contracted by Brazilian banks with foreign banks on behalf of Brazilian importers). They must be declared to the Central Bank if their term of payment is superior to 360 days.“Leasing/rental” (“arrendamento mercantil, leasing e aluguel” in original source) : concerns all types of external leasing operations consented by a Brazilian entity to a foreign one. They must be declared if the term of payment is superior to 360 days.More information about the different categories can be found through the Central Bank online. (Research Data Support provided by Springer Nature)

This U.S. Geological Survey (USGS) data release provides the descriptions of 11 U.S. sites that include mineral regions, mines, and mineral occurrences that contain enrichments of niobium (Nb). To be included in this data release, a site must have a contained resource and (or) past production of Nb metal greater than 10,000 metric tons, which was the approximate consumption of Nb in the U.S. in 2019 (U.S. Geological Survey, 2020). Sites in this dataset occur in Alaska, Arkansas, Colorado, Nebraska, and Texas. Niobium primarily occurs in oxide minerals of the pyrochlore group, which are most commonly found in carbonatites and alkaline granite-syenite complexes. Globally, the largest Nb deposits occur in Brazil and Canada. In Brazil, the Barreiro carbonatite complex hosts the Araxá deposit that contains more than 460 million metric tons of ore with an average grade of 2.48 percent Nb2O5 (Schulz and others, 2017). The world’s leading producer of Nb outside of Brazil is the Niobec Mine in Quebec, Canada. The Niobec deposit occurs in the Saint-Honoré carbonatite complex, where pyrochlore is the main niobium-bearing mineral; the ore body contains more than 400 million metric tons with an average grade of 0.42 percent Nb2O5 (Schulz and others, 2017). In comparison, the largest known Nb deposit in the U.S. is the Iron Hill deposit in Colorado, which has been prospected for titanium, Nb, rare earth elements and thorium. There are no current U.S. producers of Nb, but the Elk Creek project in Nebraska is in the furthest stage of development. If Elk Creek comes online, it will be the first recorded producer of Nb in the U.S. since the 1950s. Niobium is necessary for strategic, consumer, and commercial applications. The primary use for Nb is for the production of high strength steel alloys used in pipelines, transportation infrastructure, and structural applications (Schulz and others, 2017). As of 2019, the U.S. maintains a history of being 100 percent net import reliant on Nb from countries, such as Brazil and Canada. Niobium is imported to the U.S. as Nb minerals, oxides, and ferroniobium (U.S. Geological Survey, 2020). The entries and descriptions in the database were derived from published papers, reports, data, and internet documents representing a variety of sources, including geologic and exploration studies described in State, Federal, and industry reports. Resources extracted from older sources might not be compliant with current rules and guidelines in minerals industry standards, such as National Instrument 43-101 (NI 43-101). The inclusion of a Nb mineral deposit in this database is not meant to imply that the deposit is currently economic. Rather, these deposits were included to capture the characteristics of the largest Nb deposits in the United States. Inclusion of material in the database is for descriptive purposes only and does not imply endorsement by the U.S. Government. The authors welcome additional published information in order to continually update and refine this dataset. Schulz, K.J., Piatak, N.M., and Papp, J.F., 2017, Niobium and tantalum, chap. M of Schulz, K.J., DeYoung, J.H., Jr., Seal, R.R., II, and Bradley, D.C., eds., Critical mineral resources of the United States—Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, p. M1–M34, https://doi.org/10.3133/pp1802M. U.S. Geological Survey, 2020, Mineral commodity summaries 2020: U.S. Geological Survey, 200 p., https://doi.org/10.3133/mcs2020.

Brazil Imports from China was US$69.19 Billion during 2024, according to the United Nations COMTRADE database on international trade. Brazil Imports from China - data, historical chart and statistics - was last updated on July of 2025.

Brazil's total Exports in 2024 were valued at US$337.04 Billion, according to the United Nations COMTRADE database on international trade. Brazil's main export partners were: China, the United States and Argentina. The top three export commodities were: Mineral fuels, oils, distillation products; Oil seed, oleagic fruits, grain, seed, fruits and Ores slag and ash. Total Imports were valued at US$277.55 Billion. In 2024, Brazil had a trade surplus of US$59.49 Billion.

Brazil Imports from Russia was US$12.21 Billion during 2024, according to the United Nations COMTRADE database on international trade. Brazil Imports from Russia - data, historical chart and statistics - was last updated on July of 2025.

Canada Imports from Brazil was US$7.45 Billion during 2024, according to the United Nations COMTRADE database on international trade. Canada Imports from Brazil - data, historical chart and statistics - was last updated on July of 2025.

Colombia's total Imports in 2023 were valued at US$62.78 Billion, according to the United Nations COMTRADE database on international trade. Colombia's main import partners were: the United States, China and Brazil. The top three import commodities were: Mineral fuels, oils, distillation products; Machinery, nuclear reactors, boilers and Electrical, electronic equipment. Total Exports were valued at US$49.77 Billion. In 2023, Colombia had a trade deficit of US$13.01 Billion.