Datasets:

electricsheepasia
/

asia-owid-yields-key-staple-crops

country_name stringclasses 37 values	country_iso3 stringclasses 37 values	year int64 1.96k 2.02k	Wheat float64 0.05 10.4 ⌀	Maize float64 0.27 39.4 ⌀	Rice float64 0.14 8.13 ⌀	Soybean float64 0.08 4 ⌀
Afghanistan	AFG	1,961	1.022	1.4	1.519	null
Afghanistan	AFG	1,962	0.9735	1.4	1.519	null
Afghanistan	AFG	1,963	0.8317	1.426	1.519	null
Afghanistan	AFG	1,964	0.951	1.4257	1.7273	null
Afghanistan	AFG	1,965	0.9723	1.44	1.7273	null
Afghanistan	AFG	1,966	0.8666	1.44	1.518	null
Afghanistan	AFG	1,967	1.1232	1.4144	1.9223	null
Afghanistan	AFG	1,968	1.1562	1.7064	1.9515	null
Afghanistan	AFG	1,969	1.1855	1.7177	1.9757	null
Afghanistan	AFG	1,970	0.9563	1.4757	1.8119	null
Afghanistan	AFG	1,971	0.8149	1.34	1.75	null
Afghanistan	AFG	1,972	0.8457	1.5652	1.9048	null
Afghanistan	AFG	1,973	1.1739	1.617	2	null
Afghanistan	AFG	1,974	1.2074	1.617	2	null
Afghanistan	AFG	1,975	1.2128	1.6116	2.0714	null
Afghanistan	AFG	1,976	1.2494	1.6598	2.1333	null
Afghanistan	AFG	1,977	1.1309	1.5833	1.9048	null
Afghanistan	AFG	1,978	1.198	1.6183	2.0381	null
Afghanistan	AFG	1,979	1.2317	1.6102	2.1311	null
Afghanistan	AFG	1,980	1.2549	1.6711	2.1728	null
Afghanistan	AFG	1,981	1.235	1.669	2.2414	null
Afghanistan	AFG	1,982	1.2299	1.6658	2.1994	null
Afghanistan	AFG	1,983	1.258	1.6641	2.2581	null
Afghanistan	AFG	1,984	1.2319	1.6612	2.2416	null
Afghanistan	AFG	1,985	1.2277	1.6652	2.2482	null
Afghanistan	AFG	1,986	1.189	1.6875	2.24	null
Afghanistan	AFG	1,987	1.2849	1.702	2	null
Afghanistan	AFG	1,988	1.1728	1.7034	1.9056	null
Afghanistan	AFG	1,989	1.118	1.6963	1.8824	null
Afghanistan	AFG	1,990	1.051	1.7582	1.9029	null
Afghanistan	AFG	1,991	1.0213	1.68	1.9364	null
Afghanistan	AFG	1,992	1.0313	1.5	1.7143	null
Afghanistan	AFG	1,993	1.0211	1.6786	1.7143	null
Afghanistan	AFG	1,994	1.025	1.6667	1.9	null
Afghanistan	AFG	1,995	1.0895	1.6563	2.2941	null
Afghanistan	AFG	1,996	1.122	1.6364	1.9429	null
Afghanistan	AFG	1,997	1.2764	1.5	2.2222	null
Afghanistan	AFG	1,998	1.2964	1.65	2.5	null
Afghanistan	AFG	1,999	1.2329	1.5	2	null
Afghanistan	AFG	2,000	0.724	1.1979	2	null
Afghanistan	AFG	2,001	0.8977	2	2	null
Afghanistan	AFG	2,002	1.5419	2.98	2.8741	null
Afghanistan	AFG	2,003	1.5	0.84	2.9931	null
Afghanistan	AFG	2,004	1.2659	1.6	2.3744	null
Afghanistan	AFG	2,005	1.8215	1.2069	3.0313	null
Afghanistan	AFG	2,006	1.376	2.6204	3.375	null
Afghanistan	AFG	2,007	1.8183	2.6277	3.2471	null
Afghanistan	AFG	2,008	1.2263	2.6277	3.2211	null
Afghanistan	AFG	2,009	1.9666	2.1429	3.225	null
Afghanistan	AFG	2,010	1.9252	1.6448	3.2308	null
Afghanistan	AFG	2,011	1.5179	1.64	3.2	null
Afghanistan	AFG	2,012	2.0104	2.1986	3.4293	null
Afghanistan	AFG	2,013	2.0248	2.1972	3.7268	null
Afghanistan	AFG	2,014	2.0237	2.4882	3.6432	null
Afghanistan	AFG	2,015	2.1959	2.1457	3.7317	null
Afghanistan	AFG	2,016	1.9803	2.0517	4.4723	null
Afghanistan	AFG	2,017	2.0342	1.2957	4.6148	null
Afghanistan	AFG	2,018	2.21	1.4727	4.4709	null
Afghanistan	AFG	2,019	2.0951	1.9457	4.4766	null
Afghanistan	AFG	2,020	1.9434	1.9344	4.441701	null
Afghanistan	AFG	2,021	1.9631	1.9004	4.4065	null
Afghanistan	AFG	2,022	2.0453	2.2374	4.625	1.5897
Afghanistan	AFG	2,023	2.1506	2.8583	4.6279	2
Afghanistan	AFG	2,024	2.2609	1.9259	5.0619	2.1397
Armenia	ARM	1,992	2.16	3.2344	null	null
Armenia	ARM	1,993	2.2257	3.2261	null	null
Armenia	ARM	1,994	1.7842	3.2667	null	null
Armenia	ARM	1,995	2.548	1.8261	null	null
Armenia	ARM	1,996	2.3569	2.2239	null	null
Armenia	ARM	1,997	1.7009	4.5548	null	null
Armenia	ARM	1,998	2.0651	2.6082	null	null
Armenia	ARM	1,999	1.9466	4.0303	null	null
Armenia	ARM	2,000	1.6679	2.3178	null	null
Armenia	ARM	2,001	2.2263	3.7913	null	null
Armenia	ARM	2,002	2.3877	3.738	null	null
Armenia	ARM	2,003	1.7183	4.6059	null	null
Armenia	ARM	2,004	2.3416	6.179101	null	null
Armenia	ARM	2,005	2.0252	4.469201	null	null
Armenia	ARM	2,006	1.4627	3.3271	null	null
Armenia	ARM	2,007	2.5837	5.326201	null	null
Armenia	ARM	2,008	2.4322	5.3424	null	null
Armenia	ARM	2,009	2.2374	5.7763	null	null
Armenia	ARM	2,010	2.1192	4.6724	null	null
Armenia	ARM	2,011	2.88	5.425701	null	null
Armenia	ARM	2,012	2.601	6.2215	null	null
Armenia	ARM	2,013	3.1273	6.7114	null	null
Armenia	ARM	2,014	3.226	7.0829	null	null
Armenia	ARM	2,015	3.3437	6.882101	null	null
Armenia	ARM	2,016	3.2427	6.3909	null	null
Armenia	ARM	2,017	2.1783	4.9002	null	null
Armenia	ARM	2,018	2.824	5.5061	null	null
Armenia	ARM	2,019	1.9565	4.184701	null	null
Armenia	ARM	2,020	2.2528	5.2068	null	null
Armenia	ARM	2,021	1.6766	5.3777	null	null
Armenia	ARM	2,022	2.4509	5.1644	null	null
Armenia	ARM	2,023	2.5265	7.7489	null	null
Armenia	ARM	2,024	2.1476	5.1881	null	null
Azerbaijan	AZE	1,992	2.1705	1.874	0.7292	0.1141
Azerbaijan	AZE	1,993	1.6855	1.3918	0.9461	0.0811
Azerbaijan	AZE	1,994	1.6296	1.4619	1.0059	0.1905

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Yields Key Staple Crops | Asia (Our World in Data)

🌏 2,687 observations · 47 Asia countries · 1961–2024 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 2,687 observations of Yields Key Staple Crops data across 47 Asia countries, spanning 1961–2024.

About the source

Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Yields Key Staple Crops

Geographic coverage

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

Country	Rows	First year	Last year
`AFG`	64	1961	2024
`BRN`	64	1961	2024
`BGD`	64	1961	2024
`BTN`	64	1961	2024
`IDN`	64	1961	2024
`CYP`	64	1961	2024
`CHN`	64	1961	2024
`IRQ`	64	1961	2024
`IRN`	64	1961	2024
`ISR`	64	1961	2024
`IND`	64	1961	2024
`KHM`	64	1961	2024
`KOR`	64	1961	2024
`JPN`	64	1961	2024
`JOR`	64	1961	2024
...	32 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`1961`
`Wheat`	`float64`	—	`1.0220001`
`Maize`	`float64`	—	`1.4000001`
`Rice`	`float64`	—	`1.519`
`Soybean`	`float64`	—	`1.5897`

Data quality & caveats

Wheat column has 25.8% null values (filtered to non-null in this dataset).

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-yields-key-staple-crops")
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="Wheat")

Citation

@misc{asia_owid_yields_key_staple_crops_2024,
  title        = {Yields Key Staple Crops | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/yields-key-staple-crops},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-yields-key-staple-crops}}
}

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 2026-06-13 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/yields-key-staple-crops

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