electricsheepafrica/africa-world-bank-millenium-development-goals-indicators-for-zambia

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- indicators
- sustainable-development-goals-sdg
- zmb
pretty_name: "Zambia - Millenium development goals"
dataset_info:
splits:
- name: train
num_examples: 20
- name: test
num_examples: 5
---

# Zambia - Millenium development goals

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-zambia) · **License:** `cc-by` · **Updated:** 2026-03-27

---

## Abstract

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-zambia) on HDX.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **ZMB**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 25 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 20 rows |
| **Test split** | 5 rows |
| **Geographic scope** | ZMB |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Zambia), `country_iso3` (ZMB), `year` (range 1999.0–2018.0).

**Outcome / Measurement** — `value` (range 0.2–5685096816.813).

**Identifier / Metadata** — `indicator_name` (Status under enhanced HIPC initiative, Mosquito net use by children (insecticide-treated net) (% of children under 5): Q1 (lowest), Mosquito net use by children (insecticide-treated net) (% of children under 5): Q5 (highest)), `indicator_code` (DT.HPC.STTS, SH.MLR.NETS.Q1.ZS, SH.MLR.NETS.Q5.ZS), `esa_source` (HDX), `esa_processed` (2026-04-09).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-millenium-development-goals-indicators-for-zambia")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `country_name` | object | 0.0% | Zambia |
| `country_iso3` | object | 0.0% | ZMB |
| `year` | int64 | 0.0% | 1999.0 – 2018.0 (mean 2007.28) |
| `indicator_name` | object | 0.0% | Status under enhanced HIPC initiative, Mosquito net use by children (insecticide-treated net) (% of children under 5): Q1 (lowest), Mosquito net use by children (insecticide-treated net) (% of children under 5): Q5 (highest) |
| `indicator_code` | object | 0.0% | DT.HPC.STTS, SH.MLR.NETS.Q1.ZS, SH.MLR.NETS.Q5.ZS |
| `value` | float64 | 0.0% | 0.2 – 5685096816.813 (mean 454807756.413) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-09 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1999.0 | 2018.0 | 2007.28 | 2007.0 |
| `value` | 0.2 | 5685096816.813 | 454807756.413 | 2.0 |

---

## 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 World Bank Group 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/world-bank-millenium-development-goals-indicators-for-zambia) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_millenium_development_goals_indicators_for_zambia,
title = {Zambia - Millenium development goals},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-zambia},
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.*