Msuluzya/TanzaniaRegions
Domaine:
geospatialType de record:
dataset
Créateur:
Msu
Hôte:
A comprehensive geographical database of Tanzania containing regions, districts, wards, streets, places, and villages with NAPA postcode integration.
# Tanzania Regions Database
A comprehensive geographical database of Tanzania containing regions, districts, wards, streets, places, and villages with NAPA postcode integration.
## ✨ Features
- 🌍 **Complete Coverage** - All 36 Tanzanian regions with 220+ districts and 1,600+ wards
- 🏘️ **Detailed Data** - Villages, streets, places, and postcodes for each ward
- 📮 **NAPA Integration** - Postcode matching with Tanzania National Postage Agency
- 🔒 **Data Integrity** - Zero data loss with complete backup preservation
- 📊 **Multiple Formats** - JSON, CSV, and SQL exports available
- 🚀 **Ready to Use** - Drop-in integration for web, mobile, and desktop applications
## 📊 Database Statistics
| Metric | Count |
|--------|-------|
| Regions | 36 |
| Districts | 220+ |
| Wards | 1,600+ |
| Villages | Complete |
| Postcodes | NAPA integrated |
## 🚀 Quick Start
### Installation
```bash
git clone github.com
cd TanzaniaRegions
```
### Usage Examples
#### JavaScript/Node.js
```javascript
const fs = require('fs');
const database = JSON.parse(fs.readFileSync('json/tanzania-regions.json', 'utf8'));
// Get all regions
const regions = Object.keys(database);
console.log('Regions:', regions);
// Get districts in Dar es Salaam
const darDistricts = Object.keys(database['Dar es Salaam']);
console.log('Dar es Salaam Districts:', darDistricts);
```
#### Python
```python
import pandas as pd
# Load Kigoma region data
df = pd.read_csv('csv/kigoma.csv')
# Filter by district
kigoma_urban = df[df['district'] == 'Kigoma']
print(f"Kigoma Urban wards: {len(kigoma_urban)}")
```
#### PHP
```php
getStatistics();
echo "Total regions: " . $stats['regions'];
?>
```
## 📁 File Structure
```
TanzaniaRegions/
├── json/
│ └── tanzania-regions.json # Complete database (557KB) - All regions, districts, wards with villages, streets, places, and NAPA postcodes
├── csv/ # 36 region files - Complete regional data with 8 …