Dataset Viewer
Auto-converted to Parquet Duplicate
country_name
stringclasses
42 values
country_iso3
stringclasses
42 values
year
int64
1.96k
2.02k
Daily protein supply per person
float64
27.7
105
⌀
GDP per capita
float64
511
40k
⌀
Population
float64
68.7k
228M
World region according to OWID
stringclasses
1 value
Algeria
DZA
1,961
44.747276
null
11,628,877
Africa
Algeria
DZA
1,962
43.703197
null
11,800,768
Africa
Algeria
DZA
1,963
40.77703
null
11,982,121
Africa
Algeria
DZA
1,964
40.976738
null
12,179,807
Africa
Algeria
DZA
1,965
43.478893
null
12,365,979
Africa
Algeria
DZA
1,966
43.371334
null
12,590,068
Africa
Algeria
DZA
1,967
45.209724
null
12,876,115
Africa
Algeria
DZA
1,968
47.482635
null
13,172,615
Africa
Algeria
DZA
1,969
47.57047
null
13,475,959
Africa
Algeria
DZA
1,970
46.92816
null
13,783,722
Africa
Algeria
DZA
1,971
47.835354
null
14,098,937
Africa
Algeria
DZA
1,972
52.37302
null
14,427,075
Africa
Algeria
DZA
1,973
53.500656
null
14,771,150
Africa
Algeria
DZA
1,974
56.493095
null
15,133,508
Africa
Algeria
DZA
1,975
58.92425
null
15,678,603
Africa
Algeria
DZA
1,976
58.9511
null
16,409,171
Africa
Algeria
DZA
1,977
59.991337
null
17,015,988
Africa
Algeria
DZA
1,978
64.01775
null
17,506,977
Africa
Algeria
DZA
1,979
65.083664
null
18,036,655
Africa
Algeria
DZA
1,980
68.74327
null
18,607,175
Africa
Algeria
DZA
1,981
67.94525
null
19,220,708
Africa
Algeria
DZA
1,982
68.574196
null
19,872,353
Africa
Algeria
DZA
1,983
70.20865
null
20,558,120
Africa
Algeria
DZA
1,984
68.859604
null
21,271,969
Africa
Algeria
DZA
1,985
72.25155
null
22,008,542
Africa
Algeria
DZA
1,986
73.75632
null
22,745,501
Africa
Algeria
DZA
1,987
74.185814
null
23,443,627
Africa
Algeria
DZA
1,988
74.974686
null
24,109,538
Africa
Algeria
DZA
1,989
76.86174
null
24,754,488
Africa
Algeria
DZA
1,990
76.17886
11,728.546
25,375,815
Africa
Algeria
DZA
1,991
76.414406
11,314.864
25,987,937
Africa
Algeria
DZA
1,992
79.08337
11,241.415
26,628,570
Africa
Algeria
DZA
1,993
80.56043
10,743.706
27,277,042
Africa
Algeria
DZA
1,994
78.606766
10,414.035
27,887,277
Africa
Algeria
DZA
1,995
77.946266
10,588.443
28,470,194
Africa
Algeria
DZA
1,996
77.36477
10,808.879
29,033,045
Africa
Algeria
DZA
1,997
74.869194
10,725.968
29,579,299
Africa
Algeria
DZA
1,998
80.69525
11,094.888
30,054,135
Africa
Algeria
DZA
1,999
81.14996
11,292.037
30,474,360
Africa
Algeria
DZA
2,000
77.87112
11,558.221
30,903,894
Africa
Algeria
DZA
2,001
79.371376
11,742.595
31,331,226
Africa
Algeria
DZA
2,002
81.979225
12,213.126
31,750,832
Africa
Algeria
DZA
2,003
84.2722
12,835.182
32,175,813
Africa
Algeria
DZA
2,004
85.569496
13,226.765
32,628,286
Africa
Algeria
DZA
2,005
86.27374
13,738.496
33,109,258
Africa
Algeria
DZA
2,006
85.9301
13,920.694
33,623,505
Africa
Algeria
DZA
2,007
85.41886
14,114.675
34,189,420
Africa
Algeria
DZA
2,008
85.626396
14,206.776
34,816,963
Africa
Algeria
DZA
2,009
88.70616
14,104.428
35,490,442
Africa
Algeria
DZA
2,010
90.11
14,496.421
36,188,237
Africa
Algeria
DZA
2,011
91.290016
14,641.964
36,903,374
Africa
Algeria
DZA
2,012
93.98002
14,697.54
37,646,165
Africa
Algeria
DZA
2,013
93.81999
14,778.191
38,414,176
Africa
Algeria
DZA
2,014
93.869995
15,073.763
39,205,035
Africa
Algeria
DZA
2,015
93.810005
15,239.518
40,019,528
Africa
Algeria
DZA
2,016
92.76
15,511.686
40,850,719
Africa
Algeria
DZA
2,017
91.18
15,427.664
41,689,302
Africa
Algeria
DZA
2,018
93.250015
15,343.426
42,505,033
Africa
Algeria
DZA
2,019
94.65
15,199.199
43,294,551
Africa
Algeria
DZA
2,020
92.81999
14,194.155
44,042,094
Africa
Algeria
DZA
2,021
94.15001
14,496.865
44,761,099
Africa
Algeria
DZA
2,022
95.37
14,782.2
45,477,391
Africa
Algeria
DZA
2,023
93.58999
15,159.324
46,164,222
Africa
Algeria
DZA
2,024
null
15,501.92
46,164,222
Africa
Angola
AGO
1,961
34.92103
null
5,301,584
Africa
Angola
AGO
1,962
36.040184
null
5,354,315
Africa
Angola
AGO
1,963
36.512955
null
5,408,334
Africa
Angola
AGO
1,964
39.247272
null
5,464,186
Africa
Angola
AGO
1,965
38.309727
null
5,521,982
Africa
Angola
AGO
1,966
38.600136
null
5,581,391
Africa
Angola
AGO
1,967
40.971
null
5,641,810
Africa
Angola
AGO
1,968
39.41479
null
5,702,706
Africa
Angola
AGO
1,969
40.864483
null
5,763,693
Africa
Angola
AGO
1,970
41.901615
null
5,852,790
Africa
Angola
AGO
1,971
41.769714
null
5,991,114
Africa
Angola
AGO
1,972
39.232723
null
6,174,269
Africa
Angola
AGO
1,973
37.798244
null
6,388,534
Africa
Angola
AGO
1,974
38.605026
null
6,613,368
Africa
Angola
AGO
1,975
39.801117
null
6,842,952
Africa
Angola
AGO
1,976
40.134083
null
7,074,668
Africa
Angola
AGO
1,977
42.993565
null
7,317,837
Africa
Angola
AGO
1,978
43.406982
null
7,576,742
Africa
Angola
AGO
1,979
42.722042
null
7,847,207
Africa
Angola
AGO
1,980
43.293316
null
8,133,867
Africa
Angola
AGO
1,981
42.84666
null
8,435,605
Africa
Angola
AGO
1,982
41.61606
null
8,751,653
Africa
Angola
AGO
1,983
40.837685
null
9,082,985
Africa
Angola
AGO
1,984
40.113472
null
9,425,921
Africa
Angola
AGO
1,985
42.08927
null
9,779,125
Africa
Angola
AGO
1,986
37.672085
null
10,139,459
Africa
Angola
AGO
1,987
37.104233
null
10,497,863
Africa
Angola
AGO
1,988
35.90366
null
10,861,299
Africa
Angola
AGO
1,989
34.20818
null
11,238,562
Africa
Angola
AGO
1,990
34.184868
8,368.723
11,626,361
Africa
Angola
AGO
1,991
29.991522
8,172.5054
12,023,532
Africa
Angola
AGO
1,992
30.058783
7,447.494
12,423,717
Africa
Angola
AGO
1,993
29.593307
5,483.2773
12,827,136
Africa
Angola
AGO
1,994
31.587019
5,379.475
13,249,763
Africa
Angola
AGO
1,995
31.040546
5,983.184
13,699,780
Africa
Angola
AGO
1,996
32.529385
6,567.6777
14,170,973
Africa
End of preview. Expand in Data Studio

Daily Per Capita Protein Supply Vs Gdp Per Capita | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)

Size category: 1K<n<10K - Formats: parquet - Sector: economics_finance - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Daily Per Capita Protein Supply Vs Gdp Per Capita | Africa (Our World in Data) 🌍 3,070 observations · 53 Africa countries · 1961–2024 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 3,070 observations of Daily Per Capita Protein Supply Vs Gdp Per Capita data across 53 Africa countries, spanning 1961–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Daily Per Capita Protein… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-daily-per-capita-protein-supply-vs-gdp-per-capita.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-owid-daily-per-capita-protein-supply-vs-gdp-per-capita
Sector economics_finance
Topic tags tabular, our-world-in-data, daily-per-capita-protein-supply-vs-gdp-per-capita, owid, long-run-series, time-series
Modalities tabular, text
Formats parquet
Size category 1K<n<10K
Countries Africa-wide or source-defined African coverage
ISO3 coverage not declared
Last modified on HF 2026-06-02 20:31:10+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-daily-per-capita-protein-supply-vs-gdp-per-capita")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: country, upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_owid_daily_per_capita_protein_supply_vs_gdp_per_capita_2026,
  title        = {Daily Per Capita Protein Supply Vs Gdp Per Capita | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-owid-daily-per-capita-protein-supply-vs-gdp-per-capita},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-daily-per-capita-protein-supply-vs-gdp-per-capita}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

Downloads last month
7