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Datasets:
electricsheepafrica
/
africa-worldbank-wbl-legal-framework-childcare-score-scale-0-100-gd-wbl-chc-law-t

Tasks:
Tabular Classification
Tabular Regression
Time Series Forecasting
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
tabular
africa
world-bank-—-gender-statistics
gender-statistics
world-bank
worldbank
Libraries:
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pandas
Polars
License:
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Auto-converted to Parquet Duplicate
indicator_id
stringclasses
1 value
indicator_name
stringclasses
1 value
country_iso3
stringlengths
3
3
country_name
stringlengths
4
24
year
int64
2.03k
2.03k
value
float64
0
100
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
DZA
Algeria
2,025
41.75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
AGO
Angola
2,025
75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
BEN
Benin
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
BWA
Botswana
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
BFA
Burkina Faso
2,025
25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
BDI
Burundi
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
CPV
Cabo Verde
2,025
66.75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
CMR
Cameroon
2,025
25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
CAF
Central African Republic
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
TCD
Chad
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
COM
Comoros
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
COD
Congo, Dem. Rep.
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
COG
Congo, Rep.
2,025
41.75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
CIV
Cote d'Ivoire
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
DJI
Djibouti
2,025
41.75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
EGY
Egypt, Arab Rep.
2,025
50
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
GNQ
Equatorial Guinea
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
ERI
Eritrea
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
SWZ
Eswatini
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
ETH
Ethiopia
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
GAB
Gabon
2,025
25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
GMB
Gambia, The
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
GHA
Ghana
2,025
50
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
GIN
Guinea
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
GNB
Guinea-Bissau
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
KEN
Kenya
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
LSO
Lesotho
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
LBR
Liberia
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
LBY
Libya
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
MDG
Madagascar
2,025
41.75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
MWI
Malawi
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
MLI
Mali
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
MRT
Mauritania
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
MUS
Mauritius
2,025
100
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
MAR
Morocco
2,025
41.75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
MOZ
Mozambique
2,025
58.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
NAM
Namibia
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
NER
Niger
2,025
0
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
NGA
Nigeria
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
RWA
Rwanda
2,025
41.75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
STP
Sao Tome and Principe
2,025
33.25
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
SEN
Senegal
2,025
41.75
GD_WBL_CHC_LAW_T
WBL: Legal Framework, Childcare, Score (scale 0-100)
SYC
Seychelles
2,025
58.25

WBL: Legal Framework, Childcare, Score (scale 0-100) | Africa (World Bank — Gender Statistics)

🌍 54 observations · 54 Africa countries · 2025–2025 · Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset contains 54 observations of Gender Statistics data across 54 Africa countries, spanning 2025–2025, covering 1 distinct indicators.

About the source

Geographic coverage

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

Country Rows First year Last year
AGO 1 2025 2025
BDI 1 2025 2025
BEN 1 2025 2025
BFA 1 2025 2025
BWA 1 2025 2025
CAF 1 2025 2025
CIV 1 2025 2025
CMR 1 2025 2025
COD 1 2025 2025
COG 1 2025 2025
COM 1 2025 2025
CPV 1 2025 2025
DJI 1 2025 2025
DZA 1 2025 2025
EGY 1 2025 2025
... 39 more countries

Indicators (sample)

  • GD_WBL_CHC_LAW_T — WBL: Legal Framework, Childcare, Score (scale 0-100)

Schema

Column Type Description Example
indicator_id string — GD_WBL_CHC_LAW_T
indicator_name string — WBL: Legal Framework, Childcare, Scor…
country_iso3 string — DZA
country_name string — Algeria
year int64 — 2025
value float64 — 41.75

Usage 

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-wbl-legal-framework-childcare-score-scale-0-100-gd-wbl-chc-law-t")
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[df["indicator_id"] == "GD_WBL_CHC_LAW_T"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="GD_WBL_CHC_LAW_T")

Pivot to country × year matrix 

matrix = (df[df["indicator_id"] == "GD_WBL_CHC_LAW_T"]
          .pivot_table(index="year", columns="country_iso3", values="value"))
print(matrix.tail())

Citation 

@misc{africa_worldbank_wbl_legal_framework_childcare_score_scale_0_100_gd_wbl_chc_law_t_2025,
  title        = {WBL: Legal Framework, Childcare, Score (scale 0-100) | Africa (World Bank — Gender Statistics)},
  author       = {World Bank},
  year         = {2025},
  url          = {https://databank.worldbank.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-wbl-legal-framework-childcare-score-scale-0-100-gd-wbl-chc-law-t}}
}

License

Released under cc-by-4.0.

Original data © World Bank. 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 2026-06-17 via the Electric Sheep pipeline. Source URL: https://databank.worldbank.org/
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