electricsheepafrica/africa-enrolment-in-secondary-schools-by-level-and-sex-2009-2013

Kenya - Enrolment in Secondary Schools by Level and Sex, 2009 – 2013

Publisher: Kenya National Bureau of Statistics (inactive) · Source: HDX · License: other-pd-nr · Updated: 2025-07-22

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Abstract

The Dataset shows the Enrolment in Secondary Schools by Level and Sex for the period of 2009 – 2013 as reported by the Kenya National Bureau of statistics in the KNBS Economic Survey 2014

Each row in this dataset represents time-series observations. Data was last updated on HDX on 2025-07-22. Geographic scope: KEN.

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

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Dataset Characteristics

Domain	Education
Unit of observation	Time-series observations
Rows (total)	10
Columns	8 (5 numeric, 3 categorical, 0 datetime)
Train split	8 rows
Test split	2 rows
Geographic scope	KEN
Publisher	Kenya National Bureau of Statistics (inactive)
HDX last updated	2025-07-22

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Variables

Geographic — year (range 2009.0–2013.0).

Demographic — gender (Boys, Girls).

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-07).

Other — form_1 (range 212467.0–327775.0), form_2 (range 175098.0–288238.0), form_3 (range 142579.0–267221.0), form_4 (range 141999.0–244463.0).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-enrolment-in-secondary-schools-by-level-and-sex-2009-2013")
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
year	int64	0.0%	2009.0 – 2013.0 (mean 2011.0)
gender	object	0.0%	Boys, Girls
form_1	int64	0.0%	212467.0 – 327775.0 (mean 261551.1)
form_2	int64	0.0%	175098.0 – 288238.0 (mean 233702.3)
form_3	int64	0.0%	142579.0 – 267221.0 (mean 207803.1)
form_4	int64	0.0%	141999.0 – 244463.0 (mean 188225.8)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-07

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Numeric Summary

Column	Min	Max	Mean	Median
year	2009.0	2013.0	2011.0	2011.0
form_1	212467.0	327775.0	261551.1	258140.0
form_2	175098.0	288238.0	233702.3	235944.0
form_3	142579.0	267221.0	207803.1	217532.0
form_4	141999.0	244463.0	188225.8	185481.0

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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. 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 Kenya National Bureau of Statistics (inactive) and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_enrolment_in_secondary_schools_by_level_and_sex_2009_2013,
  title     = {Kenya - Enrolment in Secondary Schools by Level and Sex, 2009 – 2013},
  author    = {Kenya National Bureau of Statistics (inactive)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/enrolment-in-secondary-schools-by-level-and-sex-2009-2013},
  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.