year int64 | iso3 string | adm0_pt string | adm0_pcode string | f_tl int64 | m_tl int64 | t_tl int64 | f_00_04 int64 | f_05_09 int64 | f_10_14 int64 | f_15_19 int64 | f_20_24 int64 | f_25_29 int64 | f_30_34 int64 | f_35_39 int64 | f_40_44 int64 | f_45_49 int64 | f_50_54 int64 | f_55_59 int64 | f_60_64 int64 | f_65_69 int64 | f_70_74 int64 | f_75_79 int64 | f_80_84 int64 | f_85_89 int64 | f_90_94 int64 | f_95plus int64 | m_00_04 int64 | m_05_09 int64 | m_10_14 int64 | m_15_19 int64 | m_20_24 int64 | m_25_29 int64 | m_30_34 int64 | m_35_39 int64 | m_40_44 int64 | m_45_49 int64 | m_50_54 int64 | m_55_59 int64 | m_60_64 int64 | m_65_69 int64 | m_70_74 int64 | m_75_79 int64 | m_80_84 int64 | m_85_89 int64 | m_90_94 int64 | m_95plus int64 | t_00_04 int64 | t_05_09 int64 | t_10_14 int64 | t_15_19 int64 | t_20_24 int64 | t_25_29 int64 | t_30_34 int64 | t_35_39 int64 | t_40_44 int64 | t_45_49 int64 | t_50_54 int64 | t_55_59 int64 | t_60_64 int64 | t_65_69 int64 | t_70_74 int64 | t_75_79 int64 | t_80_84 int64 | t_85_89 int64 | t_90_94 int64 | t_95plus int64 | esa_source string | esa_processed string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,022 | CPV | Cabo Verde | CV | 280,362 | 289,150 | 569,523 | 25,262 | 25,359 | 24,532 | 23,498 | 21,749 | 24,670 | 25,924 | 22,422 | 17,165 | 13,738 | 12,504 | 12,390 | 9,907 | 7,236 | 3,912 | 2,797 | 2,815 | 2,492 | 1,338 | 652 | 26,470 | 26,577 | 24,923 | 23,722 | 23,195 | 26,824 | 29,509 | 26,233 | 20,834 | 15,460 | 12,729 | 11,244 | 8,251 | 4,770 | 2,618 | 1,782 | 1,637 | 1,440 | 727 | 205 | 51,729 | 51,938 | 49,464 | 47,223 | 44,943 | 51,493 | 55,436 | 48,655 | 38,002 | 29,197 | 25,233 | 23,632 | 18,156 | 12,006 | 6,533 | 4,579 | 4,451 | 3,930 | 2,065 | 858 | HDX | 2026-04-04 |
Cabo Verde - Subnational Population Statistics | Africa (original)
Size category: n<1K - Formats: parquet - Sector: humanitarian_development - Engineered by Electric Sheep Africa
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: Cabo Verde - Subnational Population Statistics Publisher: UNFPA · Source: HDX · License: cc-by-igo · Updated: 2025-05-05 Abstract Cabo Verde administrative level 0-1 and island sex and age disaggregated 2021 projected population statistics UPDATED 24 January 2023 to correctly assign ADM1 feature "São Salvador do Mundo" [CV19] to island "Santiago" [CV6]. REFERENCE YEAR: 2022 Gazetteer available to administrative level 4 The administrative level 0, 1, and island tables… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cod-ps-cpv.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-cod-ps-cpv |
| Sector | humanitarian_development |
| Topic tags | humanitarian, hdx, electric-sheep-africa, baseline-population, demographics, gazetteer, cpv |
| Modalities | tabular, text |
| Formats | parquet |
| Size category | n<1K |
| Countries | Cabo Verde |
| ISO3 coverage | CPV |
| Last modified on HF | 2026-04-04 15:34:32+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-cod-ps-cpv")
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: upstream_publisher.
- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
Source And Provenance
- Source context: original
- Publisher/source attribution: original
- License: CC BY 4.0
- Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-cod-ps-cpv
- Inventory retrieved at:
2026-07-16T16:00:34Z
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_cod_ps_cpv_2026,
title = {Cabo Verde - Subnational Population Statistics | Africa (original)},
author = {original},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-cod-ps-cpv},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cod-ps-cpv}}
}
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
- 33