FAO Food Price Index, monthly

Name: FAO Food Price Index, monthly
Creator: FAO Food Price Index Intelligence
License: https://www.fao.org/contact-us/terms/db-terms-of-use/en/
Keywords: food, commodities, agriculture, inflation, macroeconomics, fao, united-nations, monthly, benchmark, ml-features

No commercial useFreshLicense: CC-BY-4.0

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Downloads are disabled for this dataset: its license prohibits commercial use. The documentation, schema and sample rows stay available here.

Monthly FAO Food Price Index intelligence (keyless official CSV): the UN FAO's flagship global food-commodity benchmark and its five sub-indices — Meat, Dairy, Cereals, Vegetable Oils, Sugar — in nominal index points (2014-2016=100), 1990-01 onward. Carries 1- and 12-month percent changes, deviation from the trailing 12-month average, rolling 12-month realized volatility (percentage points), and the percent below the trailing 60-month maximum (boom/bust gauge). One row per month x index; genuine upstream gaps are kept as nulls, never imputed. Data note: recent months' meat values mix projected and observed prices and are revised by FAO. Who joins this: food/CPG procurement teams join input costs on year_month + index_code; macro models use the FFPI as the global food-inflation pass-through feature.

Source: FAO Food Price Index Intelligence
Rows: 2,640
Columns: 12
Source cadence: Monthly
Last refreshed: Oct 1, 2026
Theme: economy

Column	Type	Description
month_date	date	First day of the observation month (FFPI labels months YYYY-MM). (unit: date)
year_month	string	Observation month as YYYY-MM (panel join key). (unit: string)
index_code	string	Stable code of the FFPI index: ffpi_overall or one of meat, dairy, cereals, oils, sugar (panel join key). (unit: string)
index_name	string	FAO's published index name verbatim. (unit: string)
category	string	overall (the headline FFPI) or commodity_group (one of the five sub-indices). (unit: string)
index_value	float	Monthly index level in nominal index points (2014-2016=100); null where upstream publishes no observation. (unit: index points (2014-2016=100))
index_mom_pct	float	1-month percent change in the index (null for the first valid observation of each index and around upstream gaps). (unit: percent)
index_yoy_pct	float	12-month percent change in the index (null for the first 12 valid observations of each index and around upstream gaps). (unit: percent)
index_vs_12m_avg_pct	float	Percent deviation of the index from its trailing 12-month average (null until 12 valid observations). (unit: percent)
vol_12m_pp	float	Rolling 12-month standard deviation of monthly percent changes — the realized-volatility read (null until 12 valid observations). (unit: percentage points)
drawdown_5y_pct	float	Percent below the trailing 60-month maximum index level — the boom/bust gauge (null until 60 valid observations). (unit: percent)
row_hash	string	Deterministic 16-hex sha256 of year_month + index_code + index_value (idempotency key). (unit: string)

First 10 sample rows — a preview, not the complete dataset.

month_date	year_month	index_code	index_name	category	index_value	index_mom_pct	index_yoy_pct	index_vs_12m_avg_pct	vol_12m_pp	drawdown_5y_pct	row_hash
1990-01-01	1990-01	cereals	Cereals	commodity_group	64.1	—	—	—	—	—	c5a5828b60d08c4a
1990-02-01	1990-02	cereals	Cereals	commodity_group	62.2	-2.964	—	—	—	—	04d2b8fa780b8c74
1990-03-01	1990-03	cereals	Cereals	commodity_group	61.3	-1.447	—	—	—	—	1666dcadff462e4d
1990-04-01	1990-04	cereals	Cereals	commodity_group	62.8	2.447	—	—	—	—	8167731ff57ff382
1990-05-01	1990-05	cereals	Cereals	commodity_group	62	-1.274	—	—	—	—	dbb1a22d739bb268
1990-06-01	1990-06	cereals	Cereals	commodity_group	60.7	-2.097	—	—	—	—	8f2ed2b6e718aa06
1990-07-01	1990-07	cereals	Cereals	commodity_group	57.9	-4.613	—	—	—	—	24f4562596caff50
1990-08-01	1990-08	cereals	Cereals	commodity_group	55.7	-3.8	—	—	—	—	931aba003977cd7e
1990-09-01	1990-09	cereals	Cereals	commodity_group	52.5	-5.745	—	—	—	—	66907f65c990933e
1990-10-01	1990-10	cereals	Cereals	commodity_group	52.8	0.571	—	—	—	—	5d0557d17cedca8a

Profiled Oct 1, 2026 from snapshot 20261001T061418Z-d1500279bad0

Measured

Completeness: 98.2%
Rows: 2,640
Columns: 12
Columns with gaps: 5

Rows per yearmonth_date · 1990–2026 · 37 years

19902026

Column	Missing	Distinct	Range	Distribution
month_datedate	0%	397	Jan 1, 1990 → Aug 1, 2026	—
year_monthvarchar	0%	419	—	1990-016 1990-026 1990-036
index_codevarchar	0%	5	—	cereals440 dairy440 ffpi_overall440
index_namevarchar	0%	6	—	Cereals440 Dairy440 Food Price Index440
categoryvarchar	0%	2	—	commodity_group2,200 overall440
index_valuedouble	0%	1,453	31.8 → 251.8median 84.75	54 outside 1st–99th percentile
index_mom_pctdouble	0.23%	2,553	-26.62 → 24.84median 0.1485	54 outside 1st–99th percentile
index_yoy_pctdouble	2.7%	2,091	-53.86 → 124.89median 1.51	52 outside 1st–99th percentile
index_vs_12m_avg_pctdouble	2.5%	2,646	-44.32 → 60.11median 0.6182	52 outside 1st–99th percentile
vol_12m_ppdouble	2.7%	2,820	0.6766 → 13.25median 2.96	52 outside 1st–99th percentile
drawdown_5y_pctdouble	13.4%	1,978	-66.56 → 0median -26.29	23 outside 1st–99th percentile
row_hashvarchar	0%	2,553	—	00075f3d6e2e88261 0018d449936e743f1 0026c00e43461b3d1

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/fao_food_price_intel/fao_food_price_index_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/fao_food_price_intel/fao_food_price_index_monthly").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/fao_food_price_intel/fao_food_price_index_monthly

Tip: fetch /llms.txt for the full machine-readable catalog.

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Pinned to snapshot 20261001T061418Z-d1500279bad0 and its content hash, so readers get exactly the data you used.

APA

FAO Food Price Index Intelligence. (2026). FAO Food Price Index, monthly [Data set, snapshot 20261001T061418Z-d1500279bad0, sha256 d1500279bad0]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/en/datasets/fao_food_price_intel/fao_food_price_index_monthly?snapshot=20261001T061418Z-d1500279bad0

BibTeX

@misc{dz_fao_food_price_intel_fao_food_price_inde_d1500279,
  title        = {{FAO Food Price Index, monthly}},
  author       = {{FAO Food Price Index Intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/fao_food_price_intel/fao_food_price_index_monthly?snapshot=20261001T061418Z-d1500279bad0}},
  note         = {Snapshot 20261001T061418Z-d1500279bad0, sha256 d1500279bad041292dea7b6fd53dc68203175a7c63fd4070553e67a2b51258fd; accessed 2026-10-01}
}

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FAO Food Price Index, monthly

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