This dataset aggregates daily wholesale price data for a wide spectrum of agricultural commodities traded across India’s regulated markets (mandis). It captures minimum, maximum, and modal prices, enabling detailed analysis of price dispersion and volatility over time. Data is sourced directly from the AGMARKNET portal and made available under the National Data Sharing and Accessibility Policy (NDSAP). With over 165,000 views and nearly 400,000 downloads, it’s a cornerstone resource for economists, agronomists, and data scientists studying India’s commodity markets.

This dataset provides daily wholesale minimum, maximum, and modal prices for a wide variety of agricultural commodities across India’s mandis, sourced from the AGMARKNET portal and published on Data.gov.in under NDSAP, with records dating back to 2013 and updated as of 19 May 2025 via a REST API; it includes key fields like Arrival_Date, State, District, Market, Commodity, Variety, Min_Price, Max_Price, and Modal_Price, making it ideal for time-series analysis, price-trend visualizations, and commodity forecasting.

GSCI fell to 719.33 Index Points on March 27, 2026, down 0.11% from the previous day. Over the past month, GSCI's price has risen 13.77%, and is up 28.34% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2026.

Overview

The data refers to Daily prices of various commodities in India like Tomato, Potato, Brinjal, Wheat etc. It has the wholesale maximum price, minimum price and modal price on daily basis. the prices in the dataset refer to the wholesale prices of various commodities per quintal (100 kg) in Indian rupees. The wholesale price is the price at which goods are sold in large quantities to retailers or distributors.

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Features of the dataset include:

• State: The state in India where the market is located.
• District: The district in India where the market is located.
• Market: The name of the market.
• Commodity: The name of the commodity.
• Variety: The variety of the commodity.
• Grade: The grade or quality of the commodity.
• Min Price: (INR) The minimum wholesale price of the commodity on a given day, per quintal (100 kg).
• Max Price: (INR) The maximum wholesale price of the commodity on a given day, per quintal (100 kg).
• Modal Price: (INR) The most common or representative wholesale price of the commodity on a given day, per quintal (100 kg).

1 INR = 0.012 USD (as on 17 August, 2023)

Use Cases

Market analysis: You can use this dataset to analyze trends and patterns in the wholesale prices of various commodities across different markets in India. This can help you understand factors that affect prices, such as supply and demand, seasonality, and market conditions. Commodity recommendation: Develop recommender systems that suggest the best markets or commodities for farmers or traders to sell or buy based on their location, preferences, and market conditions.

Licensed under the Government Open Data License - India (GODL) https://data.gov.in/government-open-data-license-india

Feel free to download the data and use it in your work. I will wait for interesting notebooks from your side. Thank you

CRB Index rose to 457.52 Index Points on March 26, 2026, up 1.55% from the previous day. Over the past month, CRB Index's price has risen 16.06%, and is up 22.67% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on March of 2026.

Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 1992 to Q4 2025 about World, commodities, price index, indexes, and price.

Daily market prices of agricultural commodities across India from 2001-2025. Contains 75+ million records covering 374 unique commodities and 1,504 varieties from various mandis (wholesale markets). Commodity Like: Vegetables, Fruits, Grains, Spices, etc.

Cleaned, deduplicated, and sorted by date and commodity for analysis.

Column Schema

Data sourced from the Government of India's Open Data Platform.

License: Government Open Data License - India (GODL-India) https://www.data.gov.in/Godl

📈 Global Commodities Market Dataset (1997–Present)

Overview

This dataset provides a comprehensive historical record of global commodity prices across energy, metals, agriculture, and construction-related commodities. It is designed for time-series analysis, forecasting, econometrics, quantitative finance, and machine learning research.

The dataset aggregates daily market data spanning more than two decades, enriched with engineered temporal features to support predictive modeling and pattern discovery.

📊 What’s Inside

• Time Span: October 1997 → Recent years
• Frequency: Daily
• Total Rows: 7,103
• Total Features: 131 columns

Each commodity includes standard OHLCV-style market data where available.

🛢️ Covered Commodity Categories

Energy

• Crude Oil (WTI)
• Brent Oil
• Natural Gas

Precious & Industrial Metals

• Gold
• Silver
• Copper
• Aluminum
• Zinc
• Nickel
• Lead

Agricultural Commodities

• Corn
• Wheat
• Soybeans
• Rice
• Cotton
• Sugar
• Coffee
• Cocoa

Construction & Industrial Inputs

• Lumber

📌 Feature Breakdown

1. Market Price Data

For each commodity, the dataset may include: - Open - High - Low - Close - Volume

Note: Some commodities have missing values during early years due to data availability.

2. Temporal & Calendar Features

To enable advanced time-series modeling and seasonality analysis: - Year - Month - Quarter - Day_of_Week - Week_of_Year

These features are pre-engineered for immediate use in ML pipelines.

🧠 Ideal Use Cases

• Commodity price forecasting
• Inflation and macroeconomic analysis
• Volatility modeling
• Correlation and co-movement studies
• Feature engineering practice for time-series ML
• LSTM / Transformer-based forecasting models
• Algorithmic trading research (educational)

⚠️ Notes on Data Quality

• Missing values exist, especially in earlier years for some commodities.
• Users are encouraged to apply:
  • Forward-filling
  • Interpolation
  • Asset-specific filtering
• Prices are nominal and not inflation-adjusted.

📂 File Format

• CSV
• UTF-8 encoded
• Ready for use with:
  • Pandas
  • NumPy
  • Scikit-learn
  • PyTorch / TensorFlow
  • R

Corn fell to 462 USd/BU on March 27, 2026, down 1.07% from the previous day. Over the past month, Corn's price has risen 6.64%, and is up 1.93% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on March of 2026.

Context

Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil

Content

Dataset contains Monthly prices for 53 commodities and 10 indexes, starting from 1980 to 2016, Last updated on march 17, 2016. The reference year for indexes are 2005 (meaning the value of indexes are 100 and all other values are relative to that year).

Inspiration

This is a challenging dataset with a fair share of NaN values. Some really good potential for EDA and also Time Series Analysis!

Discover the booming global commodity trading services market, projected to reach $2 trillion by 2025, with a 6% CAGR. This in-depth analysis explores market drivers, trends, restraints, and key players like Vitol, Glencore, and Cargill, offering valuable insights for investors and industry professionals.

This statistic depicts global commodity price indexes for energy, metal, and agriculture from January 2018 to November 2019. In November 2019, the commodity index for energy stood at 87.7, compared to 86.1 for metals, and 98.4 for agriculture.

The "Commodity Prices in Meghalaya" offers a detailed and comprehensive collection of datasets focused on the pricing of various commodities within the state of Meghalaya, India. This package is designed to cater to economists, market analysts, policy makers, and researchers who are interested in understanding the economic and market dynamics of this region. It includes the key dataset, "Commodity Average Price," which provides yearly average prices of different commodities across various districts in Meghalaya.

Wheat rose to 605.75 USd/Bu on March 27, 2026, up 0.12% from the previous day. Over the past month, Wheat's price has risen 5.44%, and is up 14.67% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on March of 2026.

Commodity Price: Soyabeans data was reported at 403.960 USD/Metric Ton in Sep 2025. This records a decrease from the previous number of 407.000 USD/Metric Ton for Aug 2025. Commodity Price: Soyabeans data is updated monthly, averaging 350.180 USD/Metric Ton from Jan 2009 (Median) to Sep 2025, with 201 observations. The data reached an all-time high of 737.060 USD/Metric Ton in Jun 2022 and a record low of 319.080 USD/Metric Ton in Nov 2015. Commodity Price: Soyabeans data remains active status in CEIC and is reported by Central Bank of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.P: Commodity Prices.

Discover the booming global commodity trading services market, projected to reach $3.1 trillion by 2033 with a 5% CAGR. This comprehensive analysis explores market size, drivers, trends, restraints, segmentation (metals, energy, agriculture, etc.), key players (Vitol, Glencore, Cargill), and regional insights. Learn about opportunities and challenges in this dynamic sector.

Commodity Price: Cocoa data was reported at 3,625.540 USD/Ton in Sep 2023. This records an increase from the previous number of 3,444.000 USD/Ton for Aug 2023. Commodity Price: Cocoa data is updated monthly, averaging 2,519.660 USD/Ton from Jan 2009 (Median) to Sep 2023, with 177 observations. The data reached an all-time high of 3,625.540 USD/Ton in Sep 2023 and a record low of 178.930 USD/Ton in Jan 2011. Commodity Price: Cocoa data remains active status in CEIC and is reported by Central Bank of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.P001: Commodity Prices.

At 3.82 U.S. dollars per gallon in October 2022, regular all formulation retail gasoline prices in the United States were considerably lower than in Hong Kong or the Central African Republic, which reported the highest gasoline prices in the world at the end of October 2022. Norway also ranked high this year. Its high gasoline prices might be one of the reasons why the country is leading the charge towards electric mobility. Gas prices in selected countries worldwide Fuel prices in different countries range from a few cents to almost two U.S. dollars per liter. Gasoline is often regarded as a key driver of a country’s economy, as it is the main fuel used in passenger vehicles and the automotive fleets of small and large businesses. The United States is one of the biggest consumers of gasoline on a per capita basis, with approximately 356 gallons of gasoline per person in 2020. Fuel prices respond to crude oil price changes One of the liquid’s main ingredients is crude oil. The spot prices of publicly traded crudes, such as U.S.-sourced WTI (West Texas Intermediate), UK Brent, and the OPEC basket grades, are highly volatile and have proven prone to inflation as of late, most recently due to the novel coronavirus outbreak in China, blockages in the Suez Canal, and the Russian invasion of Ukraine. Where access to oil is limited, this volatility may spur a shift towards alternative propulsion systems and fuels among a growing number of vehicle drivers. Affordability of fuel Gas prices in Europe are counted among the highest worldwide. At 7.6 U.S. dollars per gallon or more, gasoline is particularly expensive in Iceland, Norway, Denmark, Greece, Finland, and the Netherlands. Car drivers in Mozambique and Madagascar feel the most pain at the pump. Some 145.7 percent of a month's wages are needed to fill up a tank in Mozambique. The low affordability of fuel is due to weak currencies, limited wage growth, and a level of prosperity that is yet to meet other markets' standards. The high price in countries such as the Netherlands and Norway is largely attributable to taxes. Other factors driving gas prices include local demand, processing and distribution costs, and the aforementioned level of crude oil prices.

Russia Commodity Price: Channels data was reported at 43,802.000 RUB/Ton in 15 May 2020. This stayed constant from the previous number of 43,802.000 RUB/Ton for 14 May 2020. Russia Commodity Price: Channels data is updated daily, averaging 26,714.000 RUB/Ton from May 2005 (Median) to 15 May 2020, with 4595 observations. The data reached an all-time high of 52,297.000 RUB/Ton in 17 May 2018 and a record low of 14,356.000 RUB/Ton in 31 Mar 2006. Russia Commodity Price: Channels data remains active status in CEIC and is reported by Metal.Com.Ru Trade System. The data is categorized under Daily Database’s Commodity Prices and Futures – Table PG003: Metals Trading Price.

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Tomatoes (WPU01130217) from Jan 1947 to Dec 2025 about agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

• aidsSystemData-DIB.xlsx contains the first combination of the USDA ERS data into a single tabular format. It also contains the formulas for the calculation of derived data. • aidsSystemData3.csv is the .xlsx file converted to .csv for import into R. • aidsvdataInbrief.R contains all code used to estimate and calculate elasticities. The following packages must be installed for the script: 'tidyverse', 'lubridate', 'micEconAids', and 'broom'. • Results.xlsx contains all results. Tabs are labeled as “results_” lags between price and quantity, and “h” or “m” to indicate Hicksian or Marshallian. • all.Rdata contains all results and intermediate objects.