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country_name
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12
country_iso3
stringlengths
3
3
year
int64
2.02k
2.02k
Affordability of a nutrient adequate diet: ratio of cost to food expenditures
float64
14
79
Armenia
ARM
2,021
22
Azerbaijan
AZE
2,021
25
Bahrain
BHR
2,021
32
Bangladesh
BGD
2,021
27.000002
Bhutan
BTN
2,021
45
Brunei
BRN
2,021
42
Cambodia
KHM
2,021
79
China
CHN
2,021
52.999996
Cyprus
CYP
2,021
37
India
IND
2,021
58
Indonesia
IDN
2,021
50
Iraq
IRQ
2,021
52
Israel
ISR
2,021
23
Japan
JPN
2,021
48
Jordan
JOR
2,021
49
Kazakhstan
KAZ
2,021
17
Kuwait
KWT
2,021
17
Kyrgyzstan
KGZ
2,021
49
Laos
LAO
2,021
70
Lebanon
LBN
2,021
64
Malaysia
MYS
2,021
22
Maldives
MDV
2,021
66
Mongolia
MNG
2,021
32
Nepal
NPL
2,021
44
Oman
OMN
2,021
23
Pakistan
PAK
2,021
43
Palestine
PSE
2,021
43
Philippines
PHL
2,021
48
Qatar
QAT
2,021
34
Saudi Arabia
SAU
2,021
14
Singapore
SGP
2,021
36
South Korea
KOR
2,021
55

Cost Nutritious Diet Share Food Expenditure | Asia (Our World in Data)

🌏 41 observations · 41 Asia countries · 2021–2021 · Repackaged by Electric Sheep Asia

rows countries years license

TL;DR

This dataset contains 41 observations of Cost Nutritious Diet Share Food Expenditure data across 41 Asia countries, spanning 2021–2021.

About the source

Geographic coverage

41 Asia countries · top rows shown below, sorted by row count:

Country Rows First year Last year
ARE 1 2021 2021
ARM 1 2021 2021
AZE 1 2021 2021
BGD 1 2021 2021
BHR 1 2021 2021
BRN 1 2021 2021
BTN 1 2021 2021
CHN 1 2021 2021
CYP 1 2021 2021
IDN 1 2021 2021
IND 1 2021 2021
IRQ 1 2021 2021
ISR 1 2021 2021
JOR 1 2021 2021
JPN 1 2021 2021
... 26 more countries

Schema

Column Type Description Example
country_name string Armenia
country_iso3 string ARM
year int64 2021
Affordability of a nutrient adequate diet: ratio of cost to food expenditures float64 22.0

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-cost-nutritious-diet-share-food-expenditure")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Affordability of a nutrient adequate diet: ratio of cost to food expenditures")

Citation

@misc{asia_owid_cost_nutritious_diet_share_food_expenditure_2021,
  title        = {Cost Nutritious Diet Share Food Expenditure | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2021},
  url          = {https://ourworldindata.org/grapher/cost-nutritious-diet-share-food-expenditure},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-cost-nutritious-diet-share-food-expenditure}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepasia


Provenance: ingested 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/cost-nutritious-diet-share-food-expenditure

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