88 datasets found
  1. T

    United States Balance of Trade

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 19, 2025
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    TRADING ECONOMICS (2025). United States Balance of Trade [Dataset]. https://tradingeconomics.com/united-states/balance-of-trade
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1950 - Aug 31, 2025
    Area covered
    United States
    Description

    The United States recorded a trade deficit of 59.55 USD Billion in August 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.

  2. US Senate Financial Disclosures (Stocks & Options)

    • kaggle.com
    zip
    Updated May 23, 2024
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    Luke Kerbs (2024). US Senate Financial Disclosures (Stocks & Options) [Dataset]. https://www.kaggle.com/datasets/lukekerbs/us-senate-financial-disclosures-stocks-and-options
    Explore at:
    zip(73142 bytes)Available download formats
    Dataset updated
    May 23, 2024
    Authors
    Luke Kerbs
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    United States
    Description

    US Senate Financial Disclosures (Stocks & Options)

    About the Dataset

    This dataset is a CSV file that contains 4,699 financial disclosure records obtained from https://efdsearch.senate.gov/ disclosed by individual Sentators from 01/01/2012 through 05/22/2024 as required by the STOCK (Stop Trading on Congressional Knowledge) Act. Each record in the dataset represents a purchase or sale of stocks or stock options publicly disclosed by an individual United States Senator.

    Dataset Columns:

    • ticker: The stock ticker symbol of the traded asset.
    • asset_name: The name associated with the stock / asset.
    • stock_price: The price per share of the stock at the date of the transaction's transaction_date.
    • transaction: The transaction type (either 'Purchase' or 'Sale' of the asset).
    • transaction_date: The date the asset was purchased or sold.
    • asset_value_low: The low end value (USD) for which the asset was traded or sold.
    • asset_value_high: The high end value (USD) for which the asset was traded or sold.
    • last_name: The last name of the Senator who reported the financial disclosure.
    • first_name: The first name of the Senator who reported the financial disclosure.
    • owner: The owner of the asset sold (e.g. 'Self' (transaction made by Senator) or family member, etc...).
    • additional_details: Additional comments disclosed regarding the asset transaction.

    Additional Notes:

    • There Are Some Missing Records: This dataset does not include disclosed Senate transactions for stocks or options that have been delisted prior to 05/22/2024 or that were never listed in a public stock exchange (e.g. the stock is no longer publicly listed due to a merger, the company has gone out of business, or company changed its name).
    • 'asset_value_low' and 'asset_value_high' Columns: The STOCK Act only requires that a government official reports the value of the asset being disclosed in a range (e.g. "$1,001-$15,000", "$15,001-$50,000", "$50,001-$100,000", etc.). So the true value of the asset being sold or purchased for a given financial disclosure is somewhere in between the asset_value_low and asset_value_high values.

    Analysis Challenge:

    You can use this dataset to analyze trends or anomalies in U.S. Senator financial dealings. Analyze which senators were the best at picking stocks to buy or sell. Analyze senator stock pick growth compared to the S&P500.

  3. e

    United States America Import Export Data | Customs & Shipment Insights

    • eximpedia.app
    Updated Aug 22, 2022
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    (2022). United States America Import Export Data | Customs & Shipment Insights [Dataset]. https://www.eximpedia.app/global-trade-data/united-states-of-america
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    Dataset updated
    Aug 22, 2022
    Area covered
    United States
    Description

    Access United States America trade data with updated export-import records. Discover major products, top buyers and suppliers, HS codes, and real-time shipment data.

  4. T

    United States Exports

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 19, 2025
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    TRADING ECONOMICS (2025). United States Exports [Dataset]. https://tradingeconomics.com/united-states/exports
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1950 - Aug 31, 2025
    Area covered
    United States
    Description

    Exports in the United States increased to 280.83 USD Billion in August from 280.60 USD Billion in July of 2025. This dataset provides the latest reported value for - United States Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. T

    US Retail Sales

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 25, 2025
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    TRADING ECONOMICS (2025). US Retail Sales [Dataset]. https://tradingeconomics.com/united-states/retail-sales
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 1992 - Sep 30, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States increased 0.20 percent in September of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. H

    Dataset of Daily Buy, Sell, and Net USD Flows for 2,000 U.S. Listed Firms...

    • dataverse.harvard.edu
    Updated Nov 9, 2025
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    Nan Jiang (2025). Dataset of Daily Buy, Sell, and Net USD Flows for 2,000 U.S. Listed Firms from NASDAQ, Russell, and S&P 500 (2015–2025) [Dataset]. http://doi.org/10.7910/DVN/GLGOY0
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 9, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Nan Jiang
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset contains firm-level, daily observations of capital flow activity for approximately 2,000 publicly traded companies listed on the NASDAQ, Russell 3000, and S&P 500 indices between 2015 and 2025. Each record corresponds to one trading day per firm and reports the following variables: date – trading day in YYYY-MM-DD format buy_flow_usd – total value of buy-side transactions (USD) sell_flow_usd – total value of sell-side transactions (USD) net_flow_usd – difference between buy and sell flows (positive = inflow; negative = outflow) trades – number of executed trades during the trading day The data were constructed from aggregated trade-level information using intraday transaction records obtained from official exchange data feeds. All flows are expressed in nominal USD. This dataset can be used to study market liquidity, institutional trading behavior, investor sentiment, and capital movement patterns across major U.S. indices. It supports replication of research on daily capital flows, market microstructure, and cross-sectional determinants of liquidity.

  7. T

    United States Imports from Russia

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
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    TRADING ECONOMICS (2017). United States Imports from Russia [Dataset]. https://tradingeconomics.com/united-states/imports/russia
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    May 30, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Imports from Russia was US$3.27 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Russia - data, historical chart and statistics - was last updated on December of 2025.

  8. U

    United States US: Stocks Traded: Total Value

    • ceicdata.com
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    CEICdata.com (2023). United States US: Stocks Traded: Total Value [Dataset]. https://www.ceicdata.com/en/united-states/financial-sector/us-stocks-traded-total-value
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Turnover
    Description

    United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  9. T

    United States Imports from China

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). United States Imports from China [Dataset]. https://tradingeconomics.com/united-states/imports/china
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Imports from China was US$462.62 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from China - data, historical chart and statistics - was last updated on December of 2025.

  10. ETFs (bonds) Market Dataset

    • kaggle.com
    Updated Aug 20, 2024
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    Andrew K (2024). ETFs (bonds) Market Dataset [Dataset]. https://www.kaggle.com/datasets/kornilovag94/etfs-bonds-market-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 20, 2024
    Dataset provided by
    Kaggle
    Authors
    Andrew K
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Inspiration

    If you find this dataset useful, pls drop a like.

    Description

    Here you can find daily in-depth data about the most liquid US bonds ETFs. I provide prices, volumes, and connected options' data. In my opinion, it's the best ETFs datasets on Kaggle you can find.

    The data is presented in CSV format as follows: 1. Date. 2. Close Price. 3. Open Price. 4. Low Price. 5. High Price. 6. Volume - Total number of shares traded on security on the date. 7. Average Bid Ask Spread % - Average of all bid/ask spreads taken as a percentage of the mid price. 8. Total Put Volume - The total amount of put option contracts (all strike prices and all expiration dates) traded during the previous trading day. If there were no trades the previous day, this field will return the latest volume available, if any, from the most recent 10 trading days. 9. Total Call Volume - The total amount of call option contracts (all strike prices and all expiration dates) traded during the previous trading day. If there were no trades the previous day, this field will return the latest volume available, if any, from the most recent 10 trading days. 10. Put Call Open Interest Total - Total number of call and put option contracts (all strike prices and expiration dates) that have not been closed, liquidated, or delivered for the security during the previous trading day. 11. Call Open Interest Total - The total number of call option contracts (all available strikes and expirations) outstanding for a given underlying as of the close of the previous trading day, as reported by the exchange. 12. Short Interest - Total number of shares investors have sold short but have not yet bought back. 13. Short Interest Ratio - Short Interest divided by the average daily trading volume.

    P.S. For historical values, the dates represent the end date of the period the data is for, not the date when the data was made publicly available. For example, if the data is for the two-week period ending on October 15 and that data is made publicly available on October 25, the date shown is October 15. For options' columns and bid-ask spread the data available from 2012 year.

  11. p

    US Dollar Trading Signal

    • permutable.ai
    Updated Feb 22, 2025
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    Permutable Technologies Limited (2025). US Dollar Trading Signal [Dataset]. https://permutable.ai/forecast-agents/
    Explore at:
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Permutable Technologies Limited
    Description

    The US Dollar Trading Signal dataset provides a near real-time assessment of market sentiment and trading direction for the U.S. dollar. The most recent update indicates a SELL signal with 85% confidence, driven by bearish developments over the last 24–48 hours. Key factors influencing this signal include: Macroeconomic weakness: U.S. consumer sentiment fell to a 15-month low while jobless claims rose, highlighting labour market softening. Monetary policy caution: The Federal Reserve’s restrained stance on interest rate cuts has added to investor uncertainty. Geopolitical pressures: Tariff announcements and ongoing tensions, alongside trade disruptions and sanctions, contributed to volatility. Cross-currency signals: The Japanese yen strengthened against the dollar, reinforcing bearish expectations. The dataset also categorises top themes—from political disruptions and sanctions, to monetary policy and employment data—and identifies influential events such as U.S.–Ukraine economic deals. For systematic traders, this data functions as a structured sentiment and event-driven input. It highlights how narratives around politics, economic releases, and central bank commentary can converge to produce leading indicators for FX strategy and risk management.

  12. m

    Topkey Corp - Total-Debt-To-Ebitda

    • macro-rankings.com
    csv, excel
    Updated Oct 28, 2025
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    macro-rankings (2025). Topkey Corp - Total-Debt-To-Ebitda [Dataset]. https://www.macro-rankings.com/markets/stocks/4536-tw/key-financial-ratios/Solvency/total-debt-to-ebitda
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Oct 28, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    taiwan
    Description

    Total-Debt-To-Ebitda Time Series for Topkey Corp. Topkey Corporation, together with its subsidiaries, produces, processes, sells, and trades in sporting goods in Asia, Europe, America, and internationally. It operates through Sports Products, Aviation and Medical Products, and Others segments. The company offers glass and carbon fiber products; composite materials; glasses; vehicle and bike components; and water gage and HRNT products. It also provides agency services; designs, develops, manufactures, and sells precision molds, as well as VCM and 3C components; processes plastic and rubber products; and engages in international investment and trade activities. In addition, the company offers aviation and medical components; aviation seatbacks; bike frames and front forks; helmets and its parts and accessories; bike knee and neck braces; rackets; building insulation products; and carbon fiber components. Topkey Corporation was incorporated in 1980 and is headquartered in Taichung, Taiwan.

  13. T

    United States Imports from Mexico

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). United States Imports from Mexico [Dataset]. https://tradingeconomics.com/united-states/imports/mexico
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Imports from Mexico was US$509.96 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Mexico - data, historical chart and statistics - was last updated on December of 2025.

  14. m

    Topkey Corp - Research-and-Development

    • macro-rankings.com
    csv, excel
    Updated Nov 24, 2025
    + more versions
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    macro-rankings (2025). Topkey Corp - Research-and-Development [Dataset]. https://www.macro-rankings.com/markets/stocks/4536-tw/income-statement/research-and-development
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    taiwan
    Description

    Research-and-Development Time Series for Topkey Corp. Topkey Corporation, together with its subsidiaries, produces, processes, sells, and trades in sporting goods in Asia, Europe, America, and internationally. It operates through Sports Products, Aviation and Medical Products, and Others segments. The company offers glass and carbon fiber products; composite materials; glasses; vehicle and bike components; and water gage and HRNT products. It also provides agency services; designs, develops, manufactures, and sells precision molds, as well as VCM and 3C components; processes plastic and rubber products; and engages in international investment and trade activities. In addition, the company offers aviation and medical components; aviation seatbacks; bike frames and front forks; helmets and its parts and accessories; bike knee and neck braces; rackets; building insulation products; and carbon fiber components. Topkey Corporation was incorporated in 1980 and is headquartered in Taichung, Taiwan.

  15. Annual wholesale trade survey, financial estimates by the North American...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +1more
    Updated Apr 20, 2017
    + more versions
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    Government of Canada, Statistics Canada (2017). Annual wholesale trade survey, financial estimates by the North American Industry Classification System (NAICS), inactive [Dataset]. http://doi.org/10.25318/2010007501-eng
    Explore at:
    Dataset updated
    Apr 20, 2017
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 5038 series, with data for years 2008 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...) North American Industry Classification System (NAICS) (35 items: Wholesale trade; Farm product wholesaler-distributors; Petroleum product wholesaler-distributors; Food, beverage and tobacco wholesaler-distributors; ...) Financial estimates (11 items: Sale of all goods purchased for resale; Commission revenue; Total operating revenue; Purchases of goods for resale; ...).

  16. v

    Global import data of Sale,printer

    • volza.com
    csv
    Updated Nov 14, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Sale,printer [Dataset]. https://www.volza.com/imports-india/india-import-data-of-sale-printer-from-united-states-of-america
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    5999 Global import shipment records of Sale,printer with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  17. m

    Topkey Corp - Ebit-Interest-Coverage

    • macro-rankings.com
    csv, excel
    Updated Nov 14, 2025
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    macro-rankings (2025). Topkey Corp - Ebit-Interest-Coverage [Dataset]. https://www.macro-rankings.com/markets/stocks/4536-tw/key-financial-ratios/Solvency/ebit-interest-coverage
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    taiwan
    Description

    Ebit-Interest-Coverage Time Series for Topkey Corp. Topkey Corporation, together with its subsidiaries, produces, processes, sells, and trades in sporting goods in Asia, Europe, America, and internationally. It operates through Sports Products, Aviation and Medical Products, and Others segments. The company offers glass and carbon fiber products; composite materials; glasses; vehicle and bike components; and water gage and HRNT products. It also provides agency services; designs, develops, manufactures, and sells precision molds, as well as VCM and 3C components; processes plastic and rubber products; and engages in international investment and trade activities. In addition, the company offers aviation and medical components; aviation seatbacks; bike frames and front forks; helmets and its parts and accessories; bike knee and neck braces; rackets; building insulation products; and carbon fiber components. Topkey Corporation was incorporated in 1980 and is headquartered in Taichung, Taiwan.

  18. m

    Topkey Corp - Net-Interest-Income

    • macro-rankings.com
    csv, excel
    Updated Nov 26, 2025
    + more versions
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    macro-rankings (2025). Topkey Corp - Net-Interest-Income [Dataset]. https://www.macro-rankings.com/markets/stocks/4536-tw/income-statement/net-interest-income
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    taiwan
    Description

    Net-Interest-Income Time Series for Topkey Corp. Topkey Corporation, together with its subsidiaries, produces, processes, sells, and trades in sporting goods in Asia, Europe, America, and internationally. It operates through Sports Products, Aviation and Medical Products, and Others segments. The company offers glass and carbon fiber products; composite materials; glasses; vehicle and bike components; and water gage and HRNT products. It also provides agency services; designs, develops, manufactures, and sells precision molds, as well as VCM and 3C components; processes plastic and rubber products; and engages in international investment and trade activities. In addition, the company offers aviation and medical components; aviation seatbacks; bike frames and front forks; helmets and its parts and accessories; bike knee and neck braces; rackets; building insulation products; and carbon fiber components. Topkey Corporation was incorporated in 1980 and is headquartered in Taichung, Taiwan.

  19. Brazil Import/Export data from 1996 to 2023

    • kaggle.com
    zip
    Updated Sep 28, 2023
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    Yousef Moterassed (2023). Brazil Import/Export data from 1996 to 2023 [Dataset]. https://www.kaggle.com/datasets/yousefmoterassed/brazil-importexport-data-from-1996-to-2023
    Explore at:
    zip(421113565 bytes)Available download formats
    Dataset updated
    Sep 28, 2023
    Authors
    Yousef Moterassed
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    Brazil
    Description

    Abstract:

    The following dataset is generated by the Brazilian Federal Government in the Portuguese language and finely presents all the data used to construct the Brazilian trade balance, as well as the data source from the Comex Stat system, detailed by NCM or by Municipalities of the exporter/importer (and SH4). The data is available in CSV with the column names in the first row. This database is detailed by NCM and is a CSV file with semicolon separator (;) detailed by year, month, NCM code, statistical unit code, country code of destination/origin of the product, code of the UF of origin/destination product, transport route code, loading/unloading URF code, statistical quantity, net kilogram, FOB dollar value (US$).

    • Attention: The files should not be used in spreadsheet software, running the risk of losing lines and information.*

    Export Dataset

    Layout:

    CO_YEAR; CO_MES; CO_NCM; CO_UNIT; CO_COUNTRY; SG_UF_NCM; CO_VIA; CO_URF; QT_ESTAT; KG_LIQUID; VL_FOB.

    Description of columns and auxiliary tables:

    CO_ANO: Year (1997 to 2021)

    CO_MES: Month Codes (1:January 12:December)

    CO_NCM: Mercosul Common Nomenclature Code - Used to control and identify goods sold in Brazil and other Mercosul countries (each NCM represents a different product) Mercosul countries: The Southern Common Market, commonly known by the Spanish abbreviation Mercosur, and Portuguese Mercosul, is a South American trade bloc established by the Treaty of Asunción in 1991 and the Protocol of Ouro Preto in 1994. Its full members are Argentina, Brazil, Paraguay, and Uruguay. Source: Wikipedia

    CO_UNID: Statistical Measurement Unit Code which is a standard unit of measurement for each NCM, which can have values ​​such as kilogram, meter, liter, pairs, ton, and others.

    CO_PAIS: Code of the name of the country with which the commercial operation was carried out (import or export)

    SG_UF _NCM (acronym UF origin/destination of NCM): Code of the Federative Unit (state) of origin (export) or destination (import) of the merchandise.

    CO_VIA: Code to identify the means of transport used (air, sea, road, rail, and others). In export, it is the method used to transport goods between the last place of shipment abroad. Upon import, it is configured through the means of access for goods at the first point of entry into the national territory.

    CO_URF (Federal Revenue Unit): Code of the agency responsible for carrying out the procedures necessary for customs clearance of imported/exported merchandise

    QT_ESTAT: In the breakdown by NCM, each product has its statistical unit. Most products have weight in kilograms as their statistical unit, but there are others: net kilogram, number (units), pairs, dozens, thousand, and ton. The complete table that relates each NCM to its statistical unit can be found in the “NCM _ UNIT” table. It is important to emphasize that statistical quantities of NCMs that contain different statistical units should not be added. [two]

    KG_NET: Measure that expresses the net weight of the merchandise. Even products with statistical quantities other than kilograms also have a measurement in kilograms available, referring to the net weight of the merchandise, that is, merchandise disregarding packaging, boxes, or any other additional transport. It is worth remembering that this information, as well as other information provided in foreign trade operations, is free to fill out and is the sole responsibility of foreign trade operators. [two]

    VL_FOB: The FOB value indicates the price of the merchandise in US Dollars (USD $) under Incoterm FOB (Free on Board), a modality in which the seller is responsible for shipping the merchandise while the buyer pays for freight, insurance, and other costs. post-shipment costs. [two]

    Data source [1] Foreign Trade Statistics in Open Data. Available at: http://comexstat.mdic.gov.br/pt/home and https://www.gov.br/ [2] Manual for using statistical data on Brazilian foreign trade. Available at: https://balanca.economia.gov.br/balanca/manual/Manual.pdf

  20. U.S. Food Imports

    • catalog.data.gov
    • data.globalchange.gov
    • +4more
    Updated Apr 21, 2025
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    Economic Research Service, Department of Agriculture (2025). U.S. Food Imports [Dataset]. https://catalog.data.gov/dataset/u-s-food-imports
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Area covered
    United States
    Description

    U.S. consumers demand variety, quality, and convenience in the foods they consume. As Americans have become wealthier and more ethnically diverse, the American food basket reflects a growing share of tropical products, spices, and imported gourmet products. Seasonal and climatic factors drive U.S. imports of popular types of fruits and vegetables and tropical products, such as cocoa and coffee. In addition, a growing share of U.S. imports can be attributed to intra-industry trade, whereby agricultural-processing industries based in the United States carry out certain processing steps offshore and import products at different levels of processing from their subsidiaries in foreign markets. This data set provides import values of edible products (food and beverages) entering U.S. ports and their origin of shipment. Data are from the U.S. Department of Commerce, U.S. Census Bureau. Food and beverage import values are compiled by calendar year into food groups corresponding to major commodities or level of processing. At least 10 years of annual data are included, enabling users to track long-term growth patterns.

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TRADING ECONOMICS (2025). United States Balance of Trade [Dataset]. https://tradingeconomics.com/united-states/balance-of-trade

United States Balance of Trade

United States Balance of Trade - Historical Dataset (1950-01-31/2025-08-31)

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26 scholarly articles cite this dataset (View in Google Scholar)
json, excel, xml, csvAvailable download formats
Dataset updated
Nov 19, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 31, 1950 - Aug 31, 2025
Area covered
United States
Description

The United States recorded a trade deficit of 59.55 USD Billion in August 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.

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