electricsheepafrica/africa-djibouti-uneca-education

DJIBOUTI - Education indicators, UNECA

Publisher: United Nations Economic Commission for Africa · Source: HDX · License: cc-by-igo · Updated: 2024-09-13

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Abstract

This dataset contains many indicators in education such as as Net enrolment rate in primary education, Ratio of girls to boys in primary education, etc. The whole list and their description can be find in this link https://bit.ly/2NWP6Z1

Each row in this dataset represents tabular records. Data was last updated on HDX on 2024-09-13. Geographic scope: DJI.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Education
Unit of observation	Tabular records
Rows (total)	45
Columns	11 (8 numeric, 3 categorical, 0 datetime)
Train split	36 rows
Test split	9 rows
Geographic scope	DJI
Publisher	United Nations Economic Commission for Africa
HDX last updated	2024-09-13

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Variables

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-14).

Other — indicator (Gender parity index for participation rate in organized learning (one year before the official primary entry age) (ratio), Net enrolment rate in secondary education - Total (%), Participation rate in organized learning (one year before the official primary entry age) - Female (%)), 2010 (range 0.1–20.5), 2011 (range 0.2–68.6), 2012 (range 0.8–80.4), 2013 (range 0.8–84.4) and 4 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-djibouti-uneca-education")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
indicator	object	0.0%	Gender parity index for participation rate in organized learning (one year before the official primary entry age) (ratio), Net enrolment rate in secondary education - Total (%), Participation rate in organized learning (one year before the official primary entry age) - Female (%)
2010	float64	80.0%	0.1 – 20.5 (mean 3.9778)
2011	float64	17.8%	0.2 – 68.6 (mean 18.8919)
2012	float64	48.9%	0.8 – 80.4 (mean 32.6391)
2013	float64	44.4%	0.8 – 84.4 (mean 30.768)
2014	float64	48.9%	0.8 – 69.5 (mean 30.9609)
2015	float64	42.2%	1.0 – 68.0 (mean 31.1308)
2016	float64	51.1%	1.0 – 67.3 (mean 28.7)
2017	float64	60.0%	2.8 – 67.5 (mean 34.3944)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-14

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Numeric Summary

Column	Min	Max	Mean	Median
2010	0.1	20.5	3.9778	2.8
2011	0.2	68.6	18.8919	4.9
2012	0.8	80.4	32.6391	35.4
2013	0.8	84.4	30.768	36.4
2014	0.8	69.5	30.9609	38.2
2015	1.0	68.0	31.1308	36.65
2016	1.0	67.3	28.7	27.45
2017	2.8	67.5	34.3944	42.1

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 2 column(s) with >80% missing values were removed: 2018, 2019. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from United Nations Economic Commission for Africa and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• The following columns have >20% missing values and should be treated with caution in modelling: 2010, 2012, 2013, 2014, 2015, 2016, 2017.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_djibouti_uneca_education,
  title     = {DJIBOUTI - Education indicators, UNECA},
  author    = {United Nations Economic Commission for Africa},
  year      = {2024},
  url       = {https://data.humdata.org/dataset/djibouti-uneca-education},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.