FAOSTAT healthy diet cost and affordability (2017-)

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.

Cost and affordability of a healthy diet from FAO's FAOSTAT domain (CAHD), the headline affordability indicators of the annual State of Food Security and Nutrition report: cost of a healthy diet (CoHD) in PPP international dollars and in local currency units per person per day, prevalence of unaffordability (%), and number of people unable to afford a healthy diet (millions), ~175 countries and territories x 2017-2025, with each area's share of the world's unaffording population, within-year ranks of diet cost and unaffordability, year-on-year changes and FAO observation flags. Who joins this: food policy teams track diet-cost inflation and affordability against social-protection coverage; development economists join the unaffordability series on (area, year) to poverty and nutrition panels; agri-food desks read the PPP cost ranks as demand-side context for consumption outlooks.

Source: FAOSTAT Healthy Diet Cost Intelligence
Rows: 1,575
Columns: 17
Source cadence: Yearly
Last refreshed: Oct 11, 2026
Theme: agriculture

Column	Type	Description
area_code	integer	FAOSTAT numeric area code (countries and territories; regional aggregates such as World and Sub-Saharan Africa are excluded from this panel). (unit: string)
area_code_m49	string	UN M49 code for the area, as published by FAOSTAT (stray leading apostrophe stripped). (unit: string)
area	string	FAOSTAT area name. (unit: string)
year	integer	Reference year (2017-2025). Panel join key with area_code. (unit: year)
cost_cohd_ppp	float	Cost of a healthy diet (CoHD): least-cost combination of locally available foods meeting national food-based dietary guidelines, in PPP international dollars per person per day (FAOSTAT item 70040). Non-negative upstream; honestly null where unpublished (e.g. China) — never imputed. (unit: int-$ PPP/person/day)
cost_cohd_lcu	float	Cost of a healthy diet in local currency units per capita per day (FAOSTAT item 70041). Useful for within-country trends; not comparable across currencies. Honestly null where unpublished upstream. (unit: LCU/capita/day)
pua_pct	float	Prevalence of unaffordability (PUA): share of the population unable to afford a healthy diet, in percent (FAOSTAT item 7005). Bounded [0, 100] upstream; honestly null where unpublished — never imputed. (unit: %)
nua_million	float	Number of people unable to afford a healthy diet, in millions (FAOSTAT item 7006). Non-negative upstream; honestly null where unpublished — never imputed. (unit: million people)
nua_world_share_pct	float	The area's share of the world's population unable to afford a healthy diet, in percent (area NUA divided by the FAO World aggregate NUA for that year). The World aggregate is estimated independently, so shares need not sum to 100. (unit: %)
cost_cohd_ppp_rank	integer	Within-year rank of the PPP diet cost (1 = most expensive healthy diet that year). (unit: rank)
pua_pct_rank	integer	Within-year rank of unaffordability prevalence (1 = highest share unable to afford that year). (unit: rank)
nua_million_rank	integer	Within-year rank of the unaffording headcount (1 = largest number of people unable to afford that year). (unit: rank)
cost_cohd_ppp_yoy_pct	float	Year-on-year percent change of the PPP diet cost (exact prior-year match; null in the first published year and wherever either side is unpublished). (unit: %)
pua_yoy_pp	float	Year-on-year change of unaffordability prevalence in percentage points (exact prior-year match; null in the first published year and wherever either side is unpublished). (unit: percentage points)
cohd_flag	string	FAO observation flag of the published CoHD PPP cell (E = estimated value; O/Q/L = missing). (unit: string)
pua_flag	string	FAO observation flag of the published PUA cell (E = estimated value; O/Q/L = missing). (unit: string)
row_hash	string	Deterministic 16-hex SHA-256 hash over (area_code, year, the four raw measures, both flags) — change detection across refreshes. (unit: string)

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

area_code	area_code_m49	area	year	cost_cohd_ppp	cost_cohd_lcu	pua_pct	nua_million	nua_world_share_pct	cost_cohd_ppp_rank	pua_pct_rank	nua_million_rank	cost_cohd_ppp_yoy_pct	pua_yoy_pp	cohd_flag	pua_flag	row_hash
1	051	Armenia	2,017	3.22	536.78	51.4	1.5	0.048	69	50	86	—	—	E	E	3ee9ead9dbae30ec
1	051	Armenia	2,018	3.31	549.33	51.6	1.5	0.05	60	45	86	2.795	0.2	E	E	ffc03de04cc5a9d6
1	051	Armenia	2,019	3.44	559.37	55.5	1.6	0.054	62	37	81	3.927	3.9	E	E	52321da510b0dc36
1	051	Armenia	2,020	3.54	561.12	56.5	1.6	0.051	62	40	83	2.907	1	E	E	f8cba6c9d95b370a
1	051	Armenia	2,021	3.8	624.4	56.8	1.6	0.054	57	37	82	7.345	0.3	E	E	f937534fd559a63a
1	051	Armenia	2,022	4.27	705.33	57	1.6	0.054	57	37	84	12.368	0.2	E	E	5bc562d12c6a4031
1	051	Armenia	2,023	4.33	701.23	57.4	1.7	0.059	79	35	81	1.405	0.4	E	E	465447c69c999f14
1	051	Armenia	2,024	4.37	687.94	46.6	1.4	0.05	90	52	85	0.924	-10.8	E	E	3d7c746b1fa82992
1	051	Armenia	2,025	4.56	722.36	44	1.3	0.048	84	52	87	4.348	-2.6	E	E	2366eefab49ad16b
3	008	Albania	2,017	3.04	160.41	29.2	0.8	0.026	84	79	102	—	—	E	E	bcb31359334bf701

Profiled Oct 11, 2026 from snapshot 20261011T061658Z-f01ed285b72e

Measured

Completeness: 92.3%
Rows: 1,575
Columns: 17
Columns with gaps: 11

Rows per yearyear · 2017–2025 · 9 years

20172025

Column	Missing	Distinct	Range	Distribution
area_codebigint	0%	177	1 → 351median 123	18 outside 1st–99th percentile
area_code_m49varchar	0%	178	—	0089 0129 0249
areavarchar	0%	174	—	Albania9 Algeria9 Angola9
yearbigint	0%	10	2,017 → 2,025median 2,021
cost_cohd_pppdouble	5.3%	369	1.7 → 8.27median 3.65	30 outside 1st–99th percentile
cost_cohd_lcudouble	1.8%	1,222	0.41 → 757,949median 34.55	32 outside 1st–99th percentile
pua_pctdouble	15.6%	716	0.1 → 95.8median 28.75	25 outside 1st–99th percentile
nua_milliondouble	15.6%	411	0 → 813.1median 2.3	14 outside 1st–99th percentile
nua_world_share_pctdouble	15.6%	788	0 → 25.93median 0.0777	14 outside 1st–99th percentile
cost_cohd_ppp_rankbigint	5.3%	170	1 → 166median 83	24 outside 1st–99th percentile
pua_pct_rankbigint	15.6%	151	1 → 148median 74	22 outside 1st–99th percentile
nua_million_rankbigint	15.6%	134	1 → 142median 74	23 outside 1st–99th percentile
cost_cohd_ppp_yoy_pctdouble	15.8%	1,518	-19.06 → 67.55median 4.18	28 outside 1st–99th percentile
pua_yoy_ppdouble	25%	374	-24.2 → 33median -0.3	24 outside 1st–99th percentile
cohd_flagvarchar	0.57%	4	—	E1,492 Q54 O18
pua_flagvarchar	0%	4	—	E1,330 O189 Q54
row_hashvarchar	0%	1,608	—	001a5e2359a96d4f1 002d3999444f20771 00aab3fcdc0246601

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_healthy_diet_cost_intel/healthy_diet_cost_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/faostat_healthy_diet_cost_intel/healthy_diet_cost_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_healthy_diet_cost_intel/healthy_diet_cost_annual

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

Cite this snapshot

Pinned to snapshot 20261011T061658Z-f01ed285b72e and its content hash, so readers get exactly the data you used.

APA

FAOSTAT Healthy Diet Cost Intelligence. (2026). FAOSTAT healthy diet cost and affordability (2017-) [Data set, snapshot 20261011T061658Z-f01ed285b72e, sha256 f01ed285b72e]. Datazimuts. Retrieved 2026-10-11, from https://datazimuts.com/en/datasets/faostat_healthy_diet_cost_intel/healthy_diet_cost_annual?snapshot=20261011T061658Z-f01ed285b72e

BibTeX

@misc{dz_faostat_healthy_diet_cost_intel_healthy__f01ed285,
  title        = {{FAOSTAT healthy diet cost and affordability (2017-)}},
  author       = {{FAOSTAT Healthy Diet Cost Intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/faostat_healthy_diet_cost_intel/healthy_diet_cost_annual?snapshot=20261011T061658Z-f01ed285b72e}},
  note         = {Snapshot 20261011T061658Z-f01ed285b72e, sha256 f01ed285b72ed80111cb7f6f5f7192019125ad866e9abf165009136ee355a5dd; accessed 2026-10-11}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=faostat_healthy_diet_cost_intel%2Fhealthy_diet_cost_annual&lang=en&theme=auto&snapshot=20261011T061658Z-f01ed285b72e&x=year&y=area_code&agg=avg" title="FAOSTAT healthy diet cost and affordability (2017-)" width="100%" height="380" style="border:0" loading="lazy"></iframe>