Historical Monthly Peanut Prices in USD

Tracking the global valuation of groundnuts over three decades reveals significant shifts in the agricultural commodity market. This collection of historical price points provides a longitudinal view of peanut costs, recorded in US Dollars per metric ton. By monitoring these fluctuations from the early 1990s through to late 2020, analysts can evaluate long-term economic trends, inflation impacts, and market stability within the global food industry. It serves as a foundational resource for anyone studying the economic history of essential food commodities and seeks to provide an expansive overview of market pricing.

The information is delivered in a CSV file titled Global_Peanut_Price.csv with a compact file size of 7.91 kB. It contains 370 valid records and maintains a perfect integrity profile with no missing or mismatched entries across the two columns. The resource has achieved a usability score of 10.00 and is maintained with an expected quarterly update frequency.

This collection is well-suited for economic forecasting and time-series analysis of agricultural commodities. It can be used to build price prediction models, study the correlation between peanut prices and global food consumption, or create historical visualisations of commodity market volatility. Additionally, it provides a reliable benchmark for businesses involved in the manufacturing of peanut-based products or those managing global snack food supply chains.

The scope is global, providing a continuous timeline spanning 30 years from 1 January 1990 to 1 October 2020. The pricing reflects the international market value of groundnuts in US Dollars. Data availability is consistent across the entire period, with 37 records captured in approximately three-year intervals, ensuring a steady stream of information for three decades.

CC0: Public Domain

Commodities traders can leverage these figures to identify historical price cycles and inform long-term investment strategies. Agricultural economists can utilise the records to research the impact of global trade policies on nut prices over time. Furthermore, data science students and researchers can use this high-integrity collection to practice time-series analysis and regression modelling on real-world economic data.

Original Data Source: Historical Monthly Peanut Prices in USD