pricingagriculturecommoditiesfood-pricesglobal-tradeinflationeconomicsfarminggrainslivestock

Food & Agricultural Commodity Prices

2015–2025

Free

Open dataset

Sample structure: 100 / 100

10 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: FAO
Collection method: Supplier description: Benchmark dataset tracking monthly wholesale prices for 35 food and agricultural commodities across 30 countries from 2015 to March 2025. Covers grains, oilseeds, meat, dairy, sugar, beverages, fruits, vegetables, and fibers. Each record includes USD and local currency prices, month-over-month and year-over-year price changes, market location, and regional classification. Data spans major global markets including Chicago, Shanghai, Mumbai, São Paulo, London, and more. Ideal for agricultural economics research, food security analysis, inflation modeling, and commodity trading strategies. Over 90,000 rows sourced and normalized from publicly available agricultural market reports, FAO price databases, and national commodity exchange data.
Coverage / snapshot: 2015–2025
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	50 / 50	160 of 160 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	160 of 160 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
id	0 / 10	number	0 / 10
date	0 / 10	string	0 / 10
year	0 / 10	number	0 / 10
month	0 / 10	number	0 / 10
country_code	0 / 10	string	0 / 10
country_name	0 / 10	string	0 / 10
region	0 / 10	string	0 / 10
market	0 / 10	string	0 / 10
commodity	0 / 10	string	0 / 10
commodity_category	0 / 10	string	0 / 10
unit	0 / 10	string	0 / 10
price_usd	0 / 10	number	0 / 10
local_currency	0 / 10	string	0 / 10
price_local	0 / 10	number	0 / 10
price_change_mom_pct	0 / 10	number	0 / 10
price_change_yoy_pct	0 / 10	number	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Monthly wholesale prices for 35 food and agricultural commodities across 30 countries, covering grains, oilseeds, meat, dairy, sugar, beverages, fruits, vegetables, and fibers. Records include USD and local currency prices, month-over-month and year-over-year changes, market location, and regional classification across major global markets.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 4cba4d0b-891e-46f7-9a6e-0dd04e537aa7 --output dataset.bin

Full supplier documentation

Original supplier listing: Food & Agricultural Commodity Prices — 35 Commodities (2015–2025) Benchmark dataset tracking monthly wholesale prices for 35 food and agricultural commodities across 30 countries from 2015 to March 2025. Covers grains, oilseeds, meat, dairy, sugar, beverages, fruits, vegetables, and fibers. Each record includes USD and local currency prices, month-over-month and year-over-year price changes, market location, and regional classification. Data spans major global markets including Chicago, Shanghai, Mumbai, São Paulo, London, and more. Ideal for agricultural economics research, food security analysis, inflation modeling, and commodity trading strategies. Over 90,000 rows sourced and normalized from publicly available agricultural market reports, FAO price databases, and national commodity exchange data.

Schema

Name	Type	Description
id	string
date	string
year	string
month	string
country_code	string
country_name	string
region	string
market	string
commodity	string
commodity_category	string
unit	string
price_usd	string
local_currency	string
price_local	string
price_change_mom_pct	string
price_change_yoy_pct	string

Sample Data

Preview a sample of the data before downloading.

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Food & Agricultural Commodity " })
// Found: 4cba4d0b-891e-46f7-9a6e-0dd04e537aa7
get_download_url({ dataset_id: "4cba4d0b-891e-46f7-9a6e-0dd04e537aa7" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/4cba4d0b-891e-46f7-9a6e-0dd04e537aa7/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"