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country_name
stringclasses
3 values
country_iso3
stringclasses
3 values
year
int64
1.96k
2.02k
Rye - Production (tonnes)
float64
700
98k
Egypt
EGY
1,989
16,000
Egypt
EGY
1,990
16,500
Egypt
EGY
1,991
15,000
Egypt
EGY
1,992
15,000
Egypt
EGY
1,993
17,500
Egypt
EGY
1,994
19,000
Egypt
EGY
1,995
22,000
Egypt
EGY
1,996
23,000
Egypt
EGY
1,997
24,000
Egypt
EGY
1,998
25,000
Egypt
EGY
1,999
25,000
Egypt
EGY
2,000
26,000
Egypt
EGY
2,001
30,000
Egypt
EGY
2,002
30,000
Egypt
EGY
2,003
30,000
Egypt
EGY
2,004
30,000
Egypt
EGY
2,005
52,000
Egypt
EGY
2,006
75,000
Egypt
EGY
2,007
78,000
Egypt
EGY
2,008
95,000
Egypt
EGY
2,009
98,000
Egypt
EGY
2,010
98,000
Egypt
EGY
2,011
94,110.25
Egypt
EGY
2,012
90,000
Egypt
EGY
2,013
89,000
Egypt
EGY
2,014
90,015.72
Egypt
EGY
2,015
91,431.32
Egypt
EGY
2,016
92,904.4
Egypt
EGY
2,017
94,229
Egypt
EGY
2,018
94,814.01
Egypt
EGY
2,019
95,038.05
Egypt
EGY
2,020
95,105.25
Egypt
EGY
2,021
95,503.98
Egypt
EGY
2,022
95,222.48
Egypt
EGY
2,023
95,422.12
Egypt
EGY
2,024
95,618.05
Morocco
MAR
1,961
1,400
Morocco
MAR
1,962
2,100
Morocco
MAR
1,963
1,800
Morocco
MAR
1,964
1,100
Morocco
MAR
1,965
4,900
Morocco
MAR
1,966
700
Morocco
MAR
1,967
1,600
Morocco
MAR
1,968
2,100
Morocco
MAR
1,969
800
Morocco
MAR
1,970
8,160
Morocco
MAR
1,971
1,120
Morocco
MAR
1,972
5,000
Morocco
MAR
1,973
9,320
Morocco
MAR
1,974
3,850
Morocco
MAR
1,975
3,980
Morocco
MAR
1,976
5,330
Morocco
MAR
1,977
1,900
Morocco
MAR
1,978
7,870
Morocco
MAR
1,979
5,800
Morocco
MAR
1,980
5,900
Morocco
MAR
1,981
4,060
Morocco
MAR
1,982
3,149
Morocco
MAR
1,983
3,800
Morocco
MAR
1,984
1,520
Morocco
MAR
1,985
1,520
Morocco
MAR
1,986
2,000
Morocco
MAR
1,987
2,000
Morocco
MAR
1,988
2,000
Morocco
MAR
1,989
2,100
Morocco
MAR
1,990
1,774
Morocco
MAR
1,991
2,200
Morocco
MAR
1,992
2,300
Morocco
MAR
1,993
2,344.04
Morocco
MAR
1,994
2,400
Morocco
MAR
1,995
2,400
Morocco
MAR
1,996
2,370.43
Morocco
MAR
1,997
2,370.34
Morocco
MAR
1,998
2,371.24
Morocco
MAR
1,999
2,372.32
Morocco
MAR
2,000
2,353.9
Morocco
MAR
2,001
2,349.74
Morocco
MAR
2,002
2,354.63
Morocco
MAR
2,003
2,276.38
Morocco
MAR
2,004
2,272.85
Morocco
MAR
2,005
2,265.06
Morocco
MAR
2,006
2,252.81
Morocco
MAR
2,007
2,057.27
Morocco
MAR
2,008
2,000
Morocco
MAR
2,009
2,700
Morocco
MAR
2,010
3,000
Morocco
MAR
2,011
2,300
Morocco
MAR
2,012
2,400
Morocco
MAR
2,013
2,500
Morocco
MAR
2,014
2,447.21
Morocco
MAR
2,015
2,374.31
Morocco
MAR
2,016
2,347.29
Morocco
MAR
2,017
2,347.69
Morocco
MAR
2,018
2,351.83
Morocco
MAR
2,019
2,363.05
Morocco
MAR
2,020
2,372.21
Morocco
MAR
2,021
2,363.27
Morocco
MAR
2,022
2,352.51
Morocco
MAR
2,023
2,352.37
Morocco
MAR
2,024
2,352.22
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Rye Production | Africa (Our World in Data)

🌍 164 observations · 3 Africa countries · 1961–2024 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 164 observations of Rye Production data across 3 Africa countries, spanning 1961–2024.

About the source

Geographic coverage

3 Africa countries · top rows shown below, sorted by row count:

Country Rows First year Last year
MAR 64 1961 2024
ZAF 64 1961 2024
EGY 36 1989 2024

Schema

Column Type Description Example
country_name string Egypt
country_iso3 string EGY
year int64 1989
Rye - Production (tonnes) float64 16000.0

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-rye-production")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

kenya = df[df["country_iso3"] == "KEN"]

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Rye - Production (tonnes)")

Citation

@misc{africa_owid_rye_production_2024,
  title        = {Rye Production | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/rye-production},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-rye-production}}
}

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 Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa 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/electricsheepafrica


Provenance: ingested 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/rye-production

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