Temperature change on land by country (FAOSTAT, yearly)

No commercial useFreshLicense: CC-BY-4.0

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

Country-level annual temperature change from FAO's FAOSTAT Temperature change on land domain (ET): mean surface temperature anomaly vs the 1951-1980 baseline (°C) plus its standard deviation, ~240 countries and territories, 1961 onward — FAO's country aggregation of NASA GISTEMP, keyless official bulk download. This repo's intelligence layer: 30-year warming lens, trailing-decade mean anomaly, within-year hottest-anomaly and fastest-warming ranks, and the >=1.5 °C hot-year flag. Keyless official bulk download. Who joins this: climate-risk models use temp_change_c and warming_30y_c as the warming-side features paired against the agrifood-emissions panel; ag analysts read it alongside the FAOSTAT production/yield panels.

Source: FAOSTAT Temperature Change on Land (yearly, keyless)
Rows: 14,284
Columns: 13
Source cadence: Yearly
Last refreshed: Oct 10, 2026
Theme: climate

Column	Type	Description
area_code	string	FAOSTAT numeric area code (countries and territories; regional/economic aggregates excluded by design). (unit: string)
area_code_m49	string	UN M49 code for the area, as published by FAOSTAT. (unit: string)
area	string	FAOSTAT area name. (unit: string)
year	integer	Observation year (the Meteorological year; the panel join key together with area_code). (unit: year)
temp_change_c	float	FAO element 7271: annual mean surface temperature anomaly vs the 1951-1980 baseline climatology, degrees Celsius (FAO country aggregation of NASA GISTEMP). Genuine Arctic extremes are kept verbatim. (unit: °C)
sd_c	float	FAO element 6078: standard deviation of the temperature change of the baseline methodology, degrees Celsius. (unit: °C)
warming_30y_c	float	The 30-year warming lens: temp_change_c minus its value 30 years earlier for the same area (degrees Celsius); null across coverage gaps, never imputed. (unit: °C)
recent_decade_mean_c	float	Trailing-10-year mean of temp_change_c (degrees Celsius), requiring >= 5 observations in the window; null otherwise. (unit: °C)
temp_change_rank	integer	Dense rank of temp_change_c within the year, 1 = hottest anomaly that year (null where the anomaly is null). (unit: rank)
warming_rank	integer	Dense rank of warming_30y_c within the year, 1 = fastest-warming area that year (null where the 30-year warming is null). (unit: rank)
hot_1_5_flag	integer	1 when temp_change_c >= 1.5 °C (the Paris Agreement-relevant threshold vs the baseline); null where the anomaly is null. (unit: flag)
fao_flag	string	FAO observation flag (E = Estimated value; every published cell in this domain is E; unpublished cells are dropped). (unit: string)
row_hash	string	Deterministic 16-hex sha256 of area_code + year + the four level columns (idempotency key). (unit: string)

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

area_code	area_code_m49	area	year	temp_change_c	sd_c	warming_30y_c	recent_decade_mean_c	temp_change_rank	warming_rank	hot_1_5_flag	fao_flag	row_hash
1	051	Armenia	1,992	-1.296	0.764	—	—	210	—	0	E	fa3f4938216601b9
1	051	Armenia	1,993	-0.961	0.764	—	—	201	—	0	E	6ccf2829b1b3ae7e
1	051	Armenia	1,994	0.469	0.764	—	—	108	—	0	E	a75bc4439db4b002
1	051	Armenia	1,995	0.747	0.764	—	—	64	—	0	E	10db813f8c46833d
1	051	Armenia	1,996	0.542	0.764	—	-0.1	59	—	0	E	3f7d3b52e86664cd
1	051	Armenia	1,997	0.803	0.764	—	0.051	57	—	0	E	ffea4fbf5411716c
1	051	Armenia	1,998	1.415	0.764	—	0.246	19	—	0	E	6b35b89540f637e2
1	051	Armenia	1,999	1.569	0.764	—	0.411	12	—	1	E	12ac7b854c2d04fe
1	051	Armenia	2,000	1.069	0.764	—	0.484	44	—	0	E	cd24398155a0c05f
1	051	Armenia	2,001	1.458	0.764	—	0.581	32	—	0	E	25aa662bd3e210eb

Profiled Oct 11, 2026 from snapshot 20261010T222113Z-e93113e5290c

Measured

Completeness: 91.5%
Rows: 14,284
Columns: 13
Columns with gaps: 4

Rows per yearyear · 1961–2025 · 65 years

19612025

Column	Missing	Distinct	Range	Distribution
area_codevarchar	0%	233	—	1065 10065 10165
area_code_m49varchar	0%	245	—	00465 00865 01065
areavarchar	0%	249	—	Afghanistan65 Albania65 Algeria65
yearbigint	0%	63	1,961 → 2,025median 1,994
temp_change_cdouble	0%	2,783	-3.25 → 5.33median 0.498	286 outside 1st–99th percentile
sd_cdouble	1.1%	199	0.152 → 1.46median 0.306	260 outside 1st–99th percentile
warming_30y_cdouble	51.5%	3,501	-2.29 → 6.17median 0.767	140 outside 1st–99th percentile
recent_decade_mean_cdouble	7%	11,010	-1.33 → 3.53median 0.3927	266 outside 1st–99th percentile
temp_change_rankbigint	0%	237	1 → 219median 101	257 outside 1st–99th percentile
warming_rankbigint	51.5%	225	1 → 209median 95	137 outside 1st–99th percentile
hot_1_5_flagbigint	0%	2	0 → 1median 0
fao_flagvarchar	0%	1	—	E14,284
row_hashvarchar	0%	11,787	—	0001daac63fd8b511 00112b54cfd006001 0012ce74acd734a41

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

cURL

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/faostat_temperature_change_intel/temperature_change_annual").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/faostat_temperature_change_intel/temperature_change_annual

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

Cite this snapshot

Pinned to snapshot 20261010T222113Z-e93113e5290c and its content hash, so readers get exactly the data you used.

APA

FAOSTAT Temperature Change on Land (yearly, keyless). (2026). Temperature change on land by country (FAOSTAT, yearly) [Data set, snapshot 20261010T222113Z-e93113e5290c, sha256 e93113e5290c]. Datazimuts. Retrieved 2026-10-11, from https://datazimuts.com/en/datasets/faostat_temperature_change_intel/temperature_change_annual?snapshot=20261010T222113Z-e93113e5290c

BibTeX

@misc{dz_faostat_temperature_change_intel_tempera_e93113e5,
  title        = {{Temperature change on land by country (FAOSTAT, yearly)}},
  author       = {{FAOSTAT Temperature Change on Land (yearly, keyless)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/faostat_temperature_change_intel/temperature_change_annual?snapshot=20261010T222113Z-e93113e5290c}},
  note         = {Snapshot 20261010T222113Z-e93113e5290c, sha256 e93113e5290c19694354c229905e72a672d4fedfe648456a9e7f0e274affa2aa; accessed 2026-10-11}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=faostat_temperature_change_intel%2Ftemperature_change_annual&lang=en&theme=auto&snapshot=20261010T222113Z-e93113e5290c&x=year&y=year&agg=avg" title="Temperature change on land by country (FAOSTAT, yearly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>