---
license: cc-by-sa-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
multilinguality: multilingual
size_categories:
- 1K<n<10K
tags:
- "tabular"
- "africa"
- "open-data"
- "official-statistics"
- "mauritius"
- "mdpa"
- "ict-and-telecom"
- "localities"
- "postcodes"
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-00000-of-00001.parquet
pretty_name: "Postcodes and Localities in Mauritius | Africa (MDPA)"
---

# Postcodes and Localities in Mauritius | Africa (MDPA)

**1,685 rows** - **1 Africa country/area** - **detected** - **source table** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*

![rows](https://img.shields.io/badge/rows-1685-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![period](https://img.shields.io/badge/period-detected-orange)
![indicators](https://img.shields.io/badge/indicators-0-purple)
![license](https://img.shields.io/badge/license-cc--by--sa--4.0-lightgrey)

## TL;DR

This dataset contains **1,685 rows** from **MDPA**, covering **Postcodes and Localities in Mauritius**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

## What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: Postcodes and Localities in Mauritius

## How To Read This Dataset

- **One row means:** one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
- **Primary geography column:** `country_iso3`.
- **Best time column:** `source_period_start_year`.
- **Time coverage basis:** source_period_start_year.
- **Recommended join keys:** `country_iso3` where available plus source-specific keys.

## Coverage

| Dimension | Value |
|---|---:|
| Rows | 1,685 |
| Countries/areas | 1 |
| First period | detected |
| Last period | detected |
| Indicators | 0 |
| Columns | 18 |
| Source format | XLSX |

## Geographic Coverage

Top areas shown below, sorted by row count when available:

| Area | Rows | First year | Last year | Name |
|------|-----:|-----------:|----------:|------|
| `MU` | 1,685 | detected | detected | `Mauritius` |

## Indicators, Variables, Or Resource Contents

- This repo preserves one source tabular resource with its usable columns kept together.

## Schema

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| `source_record_id` | `string` | Stable row identifier assigned during Electric Sheep Africa engineering. | `61c6de44-223c-4bec-8000-f3b4aae1e348:sheet1:0` |
| `country_iso3` | `dictionary<values=string, indices=int8, ordered=0>` | ISO3 country or area code. | `MU` |
| `country_name` | `dictionary<values=string, indices=int8, ordered=0>` | Country or area name. | `Mauritius` |
| `source_sheet` | `string` | Source column from the original resource. | `Sheet1` |
| `locality` | `string` | Source column from the original resource. | `ALBION` |
| `sublocality` | `string` | Source column from the original resource. | `Albion` |
| `postcode` | `double` | Source column from the original resource. | `91001.0` |
| `source_period_start_year` | `int64` | Start year inferred from source metadata. | `` |
| `source_period_end_year` | `int64` | End year inferred from source metadata. | `` |
| `source_period_label` | `string` | Source column from the original resource. | `` |
| `source_provider` | `dictionary<values=string, indices=int8, ordered=0>` | Publishing organization. | `MDPA` |
| `source_dataset` | `dictionary<values=string, indices=int8, ordered=0>` | Source dataset or package title. | `Postcodes and Localities in Mauritius` |
| `source_resource` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource title, table name, or file name. | `PostCodeMauritius_0.xlsx` |
| `source_package_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source package identifier. | `5babd1ea-4745-406d-8ada-871d13981ceb` |
| `source_resource_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource identifier. | `61c6de44-223c-4bec-8000-f3b4aae1e348` |
| `source_url` | `dictionary<values=string, indices=int8, ordered=0>` | Original source URL or download URL. | `https://data.govmu.org/dataset/5babd1ea-4745-406d-8ada-871d13981ceb/r...` |
| `license_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source license identifier. | `CC-BY-SA-4.0` |
| `retrieved_at` | `dictionary<values=string, indices=int8, ordered=0>` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `2026-08-08T16:26:20Z` |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-postcodes-and-localities-in-mauritius-20c7ffe2")
df = ds["train"].to_pandas()
print(df.head())
```

### Inspect Columns

```python
print(df.info())
print(df.head())
```

### Filter By Geography

```python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MU"]
```

### Time-Series Pattern

```python
if "value" in df.columns and "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_year")
```

### Pivot For Analysis

```python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())
```

## Data Quality Notes

- Canonical time field: `source_period_start_year`.
- Missing values are preserved rather than silently imputed.
- Column names are standardized for machine use; source meanings are preserved where known.
- Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

## Source And Provenance

- **Source:** [MDPA](https://data.govmu.org/dataset/postcodes-and-localities-mauritius)
- **Publisher:** MDPA
- **Portal:** [https://data.govmu.org](https://data.govmu.org)
- **Resource:** [PostCodeMauritius_0.xlsx](https://data.govmu.org/dataset/5babd1ea-4745-406d-8ada-871d13981ceb/resource/61c6de44-223c-4bec-8000-f3b4aae1e348/download/postcodemauritius_0.xlsx)
- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
- **Retrieved/generated:** `2026-08-08T16:27:11Z`
- **Hugging Face repo:** [electricsheepafrica/africa-mauritius-postcodes-and-localities-in-mauritius-20c7ffe2](https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-postcodes-and-localities-in-mauritius-20c7ffe2)

## Transformations Applied

- Converted the source table to Parquet for efficient analytics and ML workflows.
- Added or preserved source provenance columns where available.
- Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
- Preserved source-reported values without analytical imputation.

## Suggested Analyses

- Profile the distribution of values
- Compare categories or geographies
- Join with complementary public datasets
- Build time-series views and period-over-period comparisons
- Check missingness before modeling
- Use `country_iso3` as the safest geography join key when present

## Citation

```bibtex
@misc{electric_sheep_africa_africa_mauritius_postcodes_and_localities_in_mauritius_20c7ffe2_2026,
  title        = {Postcodes and Localities in Mauritius | Africa (MDPA)},
  author       = {MDPA},
  year         = {2026},
  url          = {https://data.govmu.org/dataset/postcodes-and-localities-mauritius},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-postcodes-and-localities-in-mauritius-20c7ffe2}}
}
```

## License

Released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).

Original data is published by MDPA. Electric Sheep Africa
engineering standardizes the data for discovery, loading, and analysis on
Hugging Face. Cite both the original source and this ML-ready dataset when used.

## About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

---

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/postcodes-and-localities-mauritius