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country_name
stringclasses
43 values
country_iso3
stringclasses
43 values
year
int64
1.99k
2.02k
Coefficient of variation in calorie consumption
float64
0.22
0.41
⌀
GDP per capita
float64
511
40k
⌀
Population
float64
74k
228M
World region according to OWID
stringclasses
1 value
Algeria
DZA
1,990
null
11,728.546
25,375,815
Africa
Algeria
DZA
1,991
null
11,314.864
25,987,937
Africa
Algeria
DZA
1,992
null
11,241.415
26,628,570
Africa
Algeria
DZA
1,993
null
10,743.706
27,277,042
Africa
Algeria
DZA
1,994
null
10,414.035
27,887,277
Africa
Algeria
DZA
1,995
null
10,588.443
28,470,194
Africa
Algeria
DZA
1,996
null
10,808.879
29,033,045
Africa
Algeria
DZA
1,997
null
10,725.968
29,579,299
Africa
Algeria
DZA
1,998
null
11,094.888
30,054,135
Africa
Algeria
DZA
1,999
null
11,292.037
30,474,360
Africa
Algeria
DZA
2,000
0.3
11,558.221
30,903,894
Africa
Algeria
DZA
2,001
0.3
11,742.595
31,331,226
Africa
Algeria
DZA
2,002
0.3
12,213.126
31,750,832
Africa
Algeria
DZA
2,003
0.3
12,835.182
32,175,813
Africa
Algeria
DZA
2,004
0.3
13,226.765
32,628,286
Africa
Algeria
DZA
2,005
0.3
13,738.496
33,109,258
Africa
Algeria
DZA
2,006
0.3
13,920.694
33,623,505
Africa
Algeria
DZA
2,007
0.3
14,114.675
34,189,420
Africa
Algeria
DZA
2,008
0.3
14,206.776
34,816,963
Africa
Algeria
DZA
2,009
0.3
14,104.428
35,490,442
Africa
Algeria
DZA
2,010
0.3
14,496.421
36,188,237
Africa
Algeria
DZA
2,011
0.3
14,641.964
36,903,374
Africa
Algeria
DZA
2,012
0.3
14,697.54
37,646,165
Africa
Algeria
DZA
2,013
0.3
14,778.191
38,414,176
Africa
Algeria
DZA
2,014
0.3
15,073.763
39,205,035
Africa
Algeria
DZA
2,015
0.3
15,239.518
40,019,528
Africa
Algeria
DZA
2,016
0.3
15,511.686
40,850,719
Africa
Algeria
DZA
2,017
0.3
15,427.664
41,689,302
Africa
Algeria
DZA
2,018
0.29
15,343.426
42,505,033
Africa
Algeria
DZA
2,019
0.29
15,199.199
43,294,551
Africa
Algeria
DZA
2,020
0.29
14,194.155
44,042,094
Africa
Algeria
DZA
2,021
null
14,496.865
44,761,099
Africa
Algeria
DZA
2,022
null
14,782.2
45,477,391
Africa
Algeria
DZA
2,023
null
15,159.324
46,164,222
Africa
Algeria
DZA
2,024
null
15,501.92
46,164,222
Africa
Angola
AGO
1,990
null
8,368.723
11,626,361
Africa
Angola
AGO
1,991
null
8,172.5054
12,023,532
Africa
Angola
AGO
1,992
null
7,447.494
12,423,717
Africa
Angola
AGO
1,993
null
5,483.2773
12,827,136
Africa
Angola
AGO
1,994
null
5,379.475
13,249,763
Africa
Angola
AGO
1,995
null
5,983.184
13,699,780
Africa
Angola
AGO
1,996
null
6,567.6777
14,170,973
Africa
Angola
AGO
1,997
null
6,810.2163
14,660,419
Africa
Angola
AGO
1,998
null
6,895.026
15,159,378
Africa
Angola
AGO
1,999
null
6,817.057
15,667,235
Africa
Angola
AGO
2,000
0.3
6,796.4062
16,194,873
Africa
Angola
AGO
2,001
0.3
6,848.683
16,747,204
Africa
Angola
AGO
2,002
0.3
7,523.813
17,327,701
Africa
Angola
AGO
2,003
0.3
7,518.8896
17,943,718
Africa
Angola
AGO
2,004
0.3
8,081.757
18,600,426
Africa
Angola
AGO
2,005
0.3
8,895.377
19,291,160
Africa
Angola
AGO
2,006
0.3
9,588.822
20,015,281
Africa
Angola
AGO
2,007
0.3
10,437.59
20,778,570
Africa
Angola
AGO
2,008
0.3
11,134.705
21,578,656
Africa
Angola
AGO
2,009
0.3
10,933.271
22,414,775
Africa
Angola
AGO
2,010
0.3
11,077.13
23,294,822
Africa
Angola
AGO
2,011
0.3
11,037.639
24,218,358
Africa
Angola
AGO
2,012
0.3
11,519.993
25,177,398
Africa
Angola
AGO
2,013
0.3
11,626.1875
26,165,616
Africa
Angola
AGO
2,014
0.3
11,721.664
27,160,767
Africa
Angola
AGO
2,015
0.3
11,392.906
28,157,802
Africa
Angola
AGO
2,016
0.3
10,805.712
29,183,072
Africa
Angola
AGO
2,017
0.3
10,414.236
30,234,836
Africa
Angola
AGO
2,018
0.3
10,000.944
31,297,160
Africa
Angola
AGO
2,019
0.31
9,648.011
32,375,633
Africa
Angola
AGO
2,020
0.35
8,960.338
33,451,139
Africa
Angola
AGO
2,021
null
8,862.281
34,532,427
Africa
Angola
AGO
2,022
null
8,950.143
35,635,028
Africa
Angola
AGO
2,023
null
8,788.261
36,749,909
Africa
Angola
AGO
2,024
null
8,901.888
36,749,909
Africa
Benin
BEN
1,990
null
2,207.0679
5,281,482
Africa
Benin
BEN
1,991
null
2,230.4604
5,446,935
Africa
Benin
BEN
1,992
null
2,226.5667
5,617,847
Africa
Benin
BEN
1,993
null
2,254.2456
5,872,707
Africa
Benin
BEN
1,994
null
2,215.3662
6,096,510
Africa
Benin
BEN
1,995
null
2,300.141
6,226,775
Africa
Benin
BEN
1,996
null
2,337.6304
6,391,861
Africa
Benin
BEN
1,997
null
2,399.786
6,583,375
Africa
Benin
BEN
1,998
null
2,419.1
6,789,492
Africa
Benin
BEN
1,999
null
2,470.685
7,002,818
Africa
Benin
BEN
2,000
0.28
2,536.169
7,221,618
Africa
Benin
BEN
2,001
0.28
2,591.065
7,445,599
Africa
Benin
BEN
2,002
0.28
2,630.1807
7,675,430
Africa
Benin
BEN
2,003
0.28
2,639.0437
7,913,074
Africa
Benin
BEN
2,004
0.28
2,672.844
8,159,098
Africa
Benin
BEN
2,005
0.28
2,632.4724
8,426,145
Africa
Benin
BEN
2,006
0.28
2,652.2185
8,693,243
Africa
Benin
BEN
2,007
0.28
2,729.1375
8,953,973
Africa
Benin
BEN
2,008
0.28
2,777.6196
9,228,468
Africa
Benin
BEN
2,009
0.28
2,758.0725
9,509,431
Africa
Benin
BEN
2,010
0.28
2,733.574
9,797,488
Africa
Benin
BEN
2,011
0.28
2,732.0125
10,093,626
Africa
Benin
BEN
2,012
0.28
2,779.7266
10,397,659
Africa
Benin
BEN
2,013
0.28
2,893.0466
10,708,831
Africa
Benin
BEN
2,014
0.28
2,987.3823
11,030,008
Africa
Benin
BEN
2,015
0.28
2,952.0022
11,360,681
Africa
Benin
BEN
2,016
0.28
2,962.6638
11,697,845
Africa
Benin
BEN
2,017
0.28
3,041.7793
12,039,777
Africa
Benin
BEN
2,018
0.28
3,155.4512
12,383,349
Africa
Benin
BEN
2,019
0.28
3,281.1047
12,726,760
Africa
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Coefficient Of Variation In Caloric Consumption 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: Coefficient Of Variation In Caloric Consumption Vs Gdp Per Capita | Africa (Our World in Data) 🌍 1,851 observations · 54 Africa countries · 1990–2024 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 1,851 observations of Coefficient Of Variation In Caloric Consumption Vs Gdp Per Capita data across 54 Africa countries, spanning 1990–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-coefficient-of-variation-in-caloric-consumption-vs-gdp-per-capita.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-owid-coefficient-of-variation-in-caloric-consumption-vs-gdp-per-capita
Sector economics_finance
Topic tags tabular, our-world-in-data, coefficient-of-variation-in-caloric-consumption-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 19:21:08+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-coefficient-of-variation-in-caloric-consumption-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_coefficient_of_variation_in_caloric_consumption_vs_gdp_per_capita_2026,
  title        = {Coefficient Of Variation In Caloric Consumption 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-coefficient-of-variation-in-caloric-consumption-vs-gdp-per-capita},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-coefficient-of-variation-in-caloric-consumption-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.

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