Commodity Prices Dataset
- kaggle.com
Updated May 10, 2023
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EmailClick to copy linkLink copiedCiteGanesh Jainarain (2023). Commodity Prices Dataset [Dataset]. https://www.kaggle.com/datasets/richeyjay/commodity-prices-datasetCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMay 10, 2023AuthorsGanesh JainarainDescriptionThis dataset contains monthly historical prices of 10 different commodities from January 1980 to April 2023. The data was collected from the Alpha Vantage API using Python. The commodities included in the dataset are WTI crude oil, cotton, natural gas, coffee, sugar, aluminum, Brent crude oil, corn, copper, and wheat. Prices are reported in USD per unit of measurement for each commodity. The dataset contains 520 rows and 12 columns, with each row representing a monthly observation of the prices of the 10 commodities. The 'All_Commodities' column is new.
WTI: WTI crude oil price per unit of measurement (USD). COTTON: Cotton price per unit of measurement (USD). NATURAL_GAS: Natural gas price per unit of measurement (USD). ALL_COMMODITIES: A composite index that represents the average price of all 10 commodities in the dataset, weighted by their individual market capitalizations. Prices are reported in USD per unit of measurement. COFFEE: Coffee price per unit of measurement (USD). SUGAR: Sugar price per unit of measurement (USD). ALUMINUM: Aluminum price per unit of measurement (USD). BRENT: Brent crude oil price per unit of measurement (USD). CORN: Corn price per unit of measurement (USD). COPPER: Copper price per unit of measurement (USD). WHEAT: Wheat price per unit of measurement (USD).
Note that some values are missing in the dataset, represented by NaN. These missing values occur for some of the commodities in the earlier years of the dataset.
It may be useful for time series analysis and predictive modeling.
NaN values were included so that you as a Data Scientist can get some practice on dealing with NaN values.
Latest agricultural price indices
- gov.uk
- s3.amazonaws.com
Updated Jun 26, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Environment, Food & Rural Affairs (2025). Latest agricultural price indices [Dataset]. https://www.gov.uk/government/statistics/agricultural-price-indicesDataset updatedJun 26, 2025AuthorsDepartment for Environment, Food & Rural AffairsDescriptionThe Agricultural Price Index (API) is a monthly publication that measures the price changes in agricultural outputs and inputs for the UK. The output series reflects the price farmers receive for their products (referred to as the farm-gate price). Information is collected for all major crops (for example wheat and potatoes) and on livestock and livestock products (for example sheep, milk and eggs). The input series reflects the price farmers pay for goods and services. This is split into two groups: goods and services currently consumed; and goods and services contributing to investment. Goods and services currently consumed refer to items that are used up in the production process, for example fertiliser, or seed. Goods and services contributing to investment relate to items that are required but not consumed in the production process, such as tractors or buildings.
A price index is a way of measuring relative price changes compared to a reference point or base year which is given a value of 100. The year used as the base year needs to be updated over time to reflect changing market trends. The latest data are presented with a base year of 2020 = 100. To maintain continuity with the current API time series, the UK continues to use standardised methodology adopted across the EU. Details of this internationally recognised methodology are described in the https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/ks-bh-02-003" class="govuk-link">Handbook for EU agricultural price statistics.
Please note: The historical time series with base years 2000 = 100, 2005 = 100, 2010 = 100 and 2015 = 100 are not updated monthly and presented for archive purposes only. Each file gives the date the series was last updated.For those commodities where farm-gate prices are currently unavailable we use the best proxy data that are available (for example wholesale prices). Similarly, calculations are based on UK prices where possible but sometimes we cannot obtain these. In such cases prices for Great Britain, England and Wales or England are used instead.
Next update: see the statistics release calendar.
Defra statistics: prices
Email mailto:prices@defra.gov.uk">prices@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>Corn Futures tick data (ZC) - CME Globex MDP 3.0
- databento.com
csv, dbn, jsonUpdated Jun 6, 2010ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDatabento (2010). Corn Futures tick data (ZC) - CME Globex MDP 3.0 [Dataset]. https://databento.com/catalog/cme/GLBX.MDP3/futures/ZCdbn, csv, jsonAvailable download formatsDataset updatedJun 6, 2010Dataset provided byDatabento Inc.AuthorsDatabentoTime period coveredJun 6, 2010 - PresentDescriptionBrowse Corn Futures (ZC) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book. MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations. Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.
Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
Supported data encodings: DBN, CSV, JSON Learn more
Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics Learn more
Resolution: Immediate publication, nanosecond-resolution timestamps
Historical statistics notices on agricultural price indices, 2024
- gov.uk
Updated Mar 27, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteDepartment for Environment, Food & Rural Affairs (2025). Historical statistics notices on agricultural price indices, 2024 [Dataset]. https://www.gov.uk/government/statistics/historical-statistics-notices-on-agricultural-price-indices-2024Dataset updatedMar 27, 2025AuthorsDepartment for Environment, Food & Rural AffairsDescriptionThe API is a measure of the monthly price changes in agricultural outputs and inputs for the UK. The output series reflects the price farmers receive for their products, also referred to as farm gate price. Information is collected for all major crops (for example wheat and potatoes) and on livestock and livestock products (for example sheep, milk and eggs). The input series reflects the price farmers pay for goods and services. This is split into two groups: goods and services currently consumed; and goods and services contributing to investment. Goods and services currently consumed refer to items that are used up in the production process, for example fertiliser, or seed. Goods and services contributing to investment relate to items that are required but not consumed in the production process, such as tractors or buildings.
The current indices are based on the year 2015 =100. The methodology used is standardised across EU member states and is described in the https://www.ons.gov.uk/economy/inflationandpriceindices/methodologies/consumerpricesindicestechnicalmanual2019?:uri=economy/inflationandpriceindices/methodologies/consumerpricesindicestechnicalmanual2019#:~:text=The%20Technical%20Manual%20is%20a,Retail%20Prices%20Index%20(RPI)" class="govuk-link">Handbook for EU Agricultural Price Statistics.
Defra statistics: prices
Email mailto:prices@defra.gov.uk">prices@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>CBOT Historical and Real-time Data
- databento.com
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteCME Group, CBOT Historical and Real-time Data [Dataset]. https://databento.com/datasets/GLBX.MDP3DescriptionCBOT operates as part of the CME Group, offering a wide range of futures and options contracts across various asset classes. CBOT specializes in trading futures and options contracts for agricultural commodities, such as corn, soybeans, wheat, and oats, as well as financial instruments, including interest rates and stock indexes.
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The Power of Commodity Prices: A Comprehensive Dataset for Commodities
This dataset contains monthly historical prices of 10 different commodities from January 1980 to April 2023. The data was collected from the Alpha Vantage API using Python. The commodities included in the dataset are WTI crude oil, cotton, natural gas, coffee, sugar, aluminum, Brent crude oil, corn, copper, and wheat. Prices are reported in USD per unit of measurement for each commodity. The dataset contains 520 rows and 12 columns, with each row representing a monthly observation of the prices of the 10 commodities. The 'All_Commodities' column is new.
WTI: WTI crude oil price per unit of measurement (USD). COTTON: Cotton price per unit of measurement (USD). NATURAL_GAS: Natural gas price per unit of measurement (USD). ALL_COMMODITIES: A composite index that represents the average price of all 10 commodities in the dataset, weighted by their individual market capitalizations. Prices are reported in USD per unit of measurement. COFFEE: Coffee price per unit of measurement (USD). SUGAR: Sugar price per unit of measurement (USD). ALUMINUM: Aluminum price per unit of measurement (USD). BRENT: Brent crude oil price per unit of measurement (USD). CORN: Corn price per unit of measurement (USD). COPPER: Copper price per unit of measurement (USD). WHEAT: Wheat price per unit of measurement (USD).
Note that some values are missing in the dataset, represented by NaN. These missing values occur for some of the commodities in the earlier years of the dataset.
It may be useful for time series analysis and predictive modeling.
NaN values were included so that you as a Data Scientist can get some practice on dealing with NaN values.