Dataset Viewer
Auto-converted to Parquet Duplicate
country_name
stringclasses
39 values
country_iso3
stringclasses
39 values
year
int64
1
2.02k
Real GDP per capita (2011$)
float64
378
47.6k
Algeria
DZA
1,820
685
Algeria
DZA
1,870
1,140
Algeria
DZA
1,913
1,854
Algeria
DZA
1,950
2,176
Algeria
DZA
1,951
2,147
Algeria
DZA
1,952
2,193
Algeria
DZA
1,953
2,182
Algeria
DZA
1,954
2,291
Algeria
DZA
1,955
2,303
Algeria
DZA
1,956
2,475
Algeria
DZA
1,957
2,699
Algeria
DZA
1,958
2,740
Algeria
DZA
1,959
3,178
Algeria
DZA
1,960
3,328
Algeria
DZA
1,961
2,868
Algeria
DZA
1,962
2,284
Algeria
DZA
1,963
2,818
Algeria
DZA
1,964
2,879
Algeria
DZA
1,965
2,981
Algeria
DZA
1,966
2,750
Algeria
DZA
1,967
2,907
Algeria
DZA
1,968
3,151
Algeria
DZA
1,969
3,355
Algeria
DZA
1,970
3,585
Algeria
DZA
1,971
3,188
Algeria
DZA
1,972
3,746
Algeria
DZA
1,973
3,757
Algeria
DZA
1,974
3,870
Algeria
DZA
1,975
4,020
Algeria
DZA
1,976
4,157
Algeria
DZA
1,977
4,398
Algeria
DZA
1,978
4,812
Algeria
DZA
1,979
5,088
Algeria
DZA
1,980
5,024
Algeria
DZA
1,981
4,991
Algeria
DZA
1,982
5,145
Algeria
DZA
1,983
5,243
Algeria
DZA
1,984
5,361
Algeria
DZA
1,985
5,469
Algeria
DZA
1,986
5,262
Algeria
DZA
1,987
5,088
Algeria
DZA
1,988
4,850
Algeria
DZA
1,989
4,889
Algeria
DZA
1,990
4,697
Algeria
DZA
1,991
4,708.232
Algeria
DZA
1,992
4,850.223
Algeria
DZA
1,993
4,816.924
Algeria
DZA
1,994
4,856.9854
Algeria
DZA
1,995
5,142.384
Algeria
DZA
1,996
5,451.6343
Algeria
DZA
1,997
5,638.48
Algeria
DZA
1,998
6,069.7773
Algeria
DZA
1,999
6,421.5083
Algeria
DZA
2,000
6,834.5537
Algeria
DZA
2,001
7,218.2456
Algeria
DZA
2,002
7,814.8384
Algeria
DZA
2,003
8,590.178
Algeria
DZA
2,004
9,182.294
Algeria
DZA
2,005
9,969.623
Algeria
DZA
2,006
10,385.779
Algeria
DZA
2,007
10,974.742
Algeria
DZA
2,008
11,475.002
Algeria
DZA
2,009
11,907.021
Algeria
DZA
2,010
12,587.744
Algeria
DZA
2,011
13,204
Algeria
DZA
2,012
13,379
Algeria
DZA
2,013
13,494
Algeria
DZA
2,014
13,744
Algeria
DZA
2,015
14,004
Algeria
DZA
2,016
14,331
Algeria
DZA
2,017
14,267.23
Algeria
DZA
2,018
14,228.025
Angola
AGO
1,950
1,677
Angola
AGO
1,951
1,715
Angola
AGO
1,952
1,755
Angola
AGO
1,953
1,795
Angola
AGO
1,954
1,720
Angola
AGO
1,955
1,830
Angola
AGO
1,956
1,769
Angola
AGO
1,957
1,908
Angola
AGO
1,958
1,978
Angola
AGO
1,959
1,953
Angola
AGO
1,960
1,997
Angola
AGO
1,961
2,225
Angola
AGO
1,962
2,128
Angola
AGO
1,963
2,200
Angola
AGO
1,964
2,407
Angola
AGO
1,965
2,544
Angola
AGO
1,966
2,646
Angola
AGO
1,967
2,753
Angola
AGO
1,968
2,665
Angola
AGO
1,969
2,695
Angola
AGO
1,970
2,818
Angola
AGO
1,971
2,754
Angola
AGO
1,972
2,729
Angola
AGO
1,973
2,852
Angola
AGO
1,974
2,727
Angola
AGO
1,975
1,710
Angola
AGO
1,976
1,521
Angola
AGO
1,977
1,500
End of preview. Expand in Data Studio

Divergence Of Gdp Per Capita Among Latecomers To The Capitalist Revolution 18002016 | 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: Divergence Of Gdp Per Capita Among Latecomers To The Capitalist Revolution 18002016 | Africa (Our World in Data) 🌍 3,336 observations · 45 Africa countries · 1–2018 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 3,336 observations of Divergence Of Gdp Per Capita Among Latecomers To The Capitalist Revolution 18002016 data across 45 Africa countries, spanning 1–2018. About the source Source: Our World in Data Publisher: Our… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-divergence-of-gdp-per-capita-among-latecomers-to-the-capitalist-revolution-18002016.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-owid-divergence-of-gdp-per-capita-among-latecomers-to-the-capitalist-revolution-18002016
Sector economics_finance
Topic tags tabular, our-world-in-data, divergence-of-gdp-per-capita-among-latecomers-to-the-capitalist-revolution-18002016, 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 2026-06-03 20:44:12+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-divergence-of-gdp-per-capita-among-latecomers-to-the-capitalist-revolution-18002016")
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_divergence_of_gdp_per_capita_among_latecomers_to_the_capitalist_revo_2026,
  title        = {Divergence Of Gdp Per Capita Among Latecomers To The Capitalist Revolution 18002016 | 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-divergence-of-gdp-per-capita-among-latecomers-to-the-capitalist-revolution-18002016},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-divergence-of-gdp-per-capita-among-latecomers-to-the-capitalist-revolution-18002016}}
}

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
8