README.md

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- education
- gender-and-age-disaggregated-data-gadd
- ken
pretty_name: "Kenya - Enrolment in Secondary Schools by Level and Sex, 2009 – 2013"
dataset_info:
  splits:
    - name: train
      num_examples: 8
    - name: test
      num_examples: 2
---

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

**Publisher:** Kenya National Bureau of Statistics (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/enrolment-in-secondary-schools-by-level-and-sex-2009-2013) · **License:** `other-pd-nr` · **Updated:** 2025-07-22

---

## 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](https://huggingface.co/electricsheepafrica).*

---

## 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 |

---

## 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).

---

## Quick Start

```python
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()
```

---

## 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 |

---

## 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 |

---

## 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.

---

## 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](https://data.humdata.org/dataset/enrolment-in-secondary-schools-by-level-and-sex-2009-2013) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@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)}
}
```

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*