Tanzania Administrative Divisions / Tanzania

Overview

Item	Details
Region	31
District	170
Ward	3,643
Coordinates	✅ Included (all levels)
Formats	JSON, NDJSON, CSV
License	CC-BY-4.0
Last Updated	2026-06-01
Website	openadmindata.org/tz
API	openadmindata.org/api/tz

Browse by Region

#	Region	Districts	Wards	Link
1	Dodoma	7	189	Browse
2	Arusha	7	123	Browse
3	Kilimanjaro	7	153	Browse
4	Tanga	10	215	Browse
5	Morogoro	7	154	Browse
6	Pwani	7	111	Browse
7	Dar-es-salaam	3	90	Browse
8	Lindi	6	136	Browse
9	Mtwara	7	149	Browse
10	Ruvuma	6	140	Browse
11	Iringa	5	93	Browse
12	Mbeya	6	154	Browse
13	Songwe	5	64	Browse
14	Singida	6	124	Browse
15	Tabora	7	166	Browse
16	Rukwa	4	64	Browse
17	Kigoma	8	111	Browse
18	Shinyanga	5	118	Browse
19	Kagera	8	181	Browse
20	Mwanza	7	154	Browse
21	Mara	7	154	Browse
22	Manyara	6	122	Browse
23	Njombe	6	96	Browse
24	Katavi	3	42	Browse
25	Simiyu	5	111	Browse
26	Geita	5	98	Browse
27	Kaskazini Unguja	2	65	Browse
28	Kusini Unguja	2	61	Browse
29	Mjini Magharibi	2	84	Browse
30	Kaskazini Pemba	2	59	Browse
31	Kusini Pemba	2	62	Browse

Data Files

File	Format	Description
all-region.json	JSON	All 31 region records
all-district.json	JSON	All 170 district records
all-ward.json	JSON	All 3,643 ward records
all-flat.json	JSON	Levels 1-2 flat array
all-flat.ndjson	NDJSON	Streaming format
all-flat.csv	CSV	Spreadsheet format
hierarchy.json	JSON	Nested tree
schema.json	JSON Schema	Data schema

Quick Start

Python

import json

with open("data/all-region.json", "r", encoding="utf-8") as f:
    data = json.load(f)

for r in data:
    print(f"{r['name']['local']} ({r['name']['en']}) — {r['children_count']['district']} districts")

JavaScript

import { readFileSync } from "fs";

const data = JSON.parse(readFileSync("data/all-region.json", "utf-8"));
console.log(`Total: ${data.length} regions`);

Schema

Field	Type	Description
id	string	Unique identifier
level	integer	1=region, 2=district, 3=ward
level_name	object	Level label (local + English)
name.local	string	Name in local script
name.en	string	English name
name.slug	string	URL-safe slug
parent	object/null	Parent division reference
ancestors	array	Full ancestor chain
children_count	object	Count of children per level
zip_codes	array	Postal codes (where available)
geo.lat	string	Latitude (WGS84)
geo.lon	string	Longitude (WGS84)

Full schema: data/schema.json

Hierarchy Browse

divisions/{region-slug}/
divisions/{region-slug}/{district-slug}/

Wards are listed inline in each district's README.

AI Integration

• llms.txt — Quick reference for AI agents
• llms-full.txt — Summary with per-region links
• Per-region data — Full data by region

Citation

Tanzania Administrative Divisions Dataset (CC-BY-4.0)
URL: https://github.com/open-admin-data/tanzania-administrative-divisions

See CITATION.cff for machine-readable citation.

License

• Data: CC-BY-4.0

Related

• Open Admin Data — Browse, search and explore administrative divisions for every country
• open-admin-data — GitHub organization with all country repos
• ListBase — Structured reference data for every country