electricsheepafrica/africa-economic-performance-data-kenya-economic-survey-2023

---
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
pretty_name: "Economic Performance Data, Kenya Economic Survey 2023"
dataset_info:
splits:
- name: train
num_examples: 35
- name: test
num_examples: 8
---

# Economic Performance Data, Kenya Economic Survey 2023

**Publisher:** Kenya National Bureau of Statistics · **Source:** [OpenAfrica](https://open.africa/dataset/economic-performance-data-kenya-economic-survey-2023) · **License:** `None` · **Updated:** 2023-07-20

---

## Abstract

This dataset contains humanitarian and development data records covering Africa (multiple countries), comprising 44 observations across 8 variables.

Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2023-07-20. Geographic scope: **Africa (multiple countries)**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Tabular records |
| **Rows (total)** | 44 |
| **Columns** | 8 (5 numeric, 3 categorical, 0 datetime) |
| **Train split** | 35 rows |
| **Test split** | 8 rows |
| **Geographic scope** | Africa (multiple countries) |
| **Publisher** | Kenya National Bureau of Statistics |
| **OpenAfrica last updated** | 2023-07-20 |

---

## Variables

**Geographic** — `industry` (Agriculture, forestry and fishing……………………………………………..., Higher and other education……………………………………………..., Insurance activities……………………………………………...).

**Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-04-27).

**Other** — `2018` (range -2.3–100.0), `2019` (range -2.2–100.0), `2020` (range -2.0–100.0), `2021` (range -2.0–100.0), `2022` (range -2.0–100.0).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-economic-performance-data-kenya-economic-survey-2023")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `industry` | object | 2.3% | Agriculture, forestry and fishing……………………………………………..., Higher and other education……………………………………………..., Insurance activities……………………………………………... |
| `2018` | float64 | 6.8% | -2.3 – 100.0 (mean 8.4098) |
| `2019` | float64 | 6.8% | -2.2 – 100.0 (mean 8.422) |
| `2020` | float64 | 6.8% | -2.0 – 100.0 (mean 8.4512) |
| `2021` | float64 | 6.8% | -2.0 – 100.0 (mean 8.4463) |
| `2022` | float64 | 6.8% | -2.0 – 100.0 (mean 8.4707) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-27 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `2018` | -2.3 | 100.0 | 8.4098 | 2.0 |
| `2019` | -2.2 | 100.0 | 8.422 | 1.9 |
| `2020` | -2.0 | 100.0 | 8.4512 | 2.0 |
| `2021` | -2.0 | 100.0 | 8.4463 | 2.0 |
| `2022` | -2.0 | 100.0 | 8.4707 | 2.0 |

---

## Curation

Raw data was downloaded from OpenAfrica 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`. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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 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://open.africa/dataset/economic-performance-data-kenya-economic-survey-2023) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{openafrica_africa_economic_performance_data_kenya_economic_survey_2023,
title = {Economic Performance Data, Kenya Economic Survey 2023},
author = {Kenya National Bureau of Statistics},
year = {2023},
url = {https://open.africa/dataset/economic-performance-data-kenya-economic-survey-2023},
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.*