Myanmar Administrative Divisions / မြန်မာ

Open dataset of Myanmar's complete administrative hierarchy — from states and regions down to wards and village tracts. This repository provides structured, bilingual (Myanmar + English) reference data for all four levels of Myanmar's administrative divisions, including geographic coordinates at every level. Designed for developers, researchers, government agencies, and AI agents.

Licensed under CC-BY-4.0. Browse the hierarchy through GitHub's folder navigation, download aggregate files in JSON/CSV/NDJSON, or integrate directly via raw URLs.

Overview

Item	Details
State/Region	15
District	77
Township	491
Ward/Village Tract	17,043
Coordinates	✅ Included (all levels)
Postal Codes	✅ Included (ward/village tract level)
Formats	JSON, NDJSON, CSV
License	CC-BY-4.0
Last Updated	2026-06-01
Website	openadmindata.org/mm
API	openadmindata.org/api/mm

Browse by State/Region

#	State/Region	Districts	Townships	Ward/Village Tracts	Link
1	ကချင်ပြည်နယ် (Kachin)	4	33	780	Browse
2	ကယားပြည်နယ် (Kayah)	2	10	124	Browse
3	ကရင်ပြည်နယ် (Kayin)	4	18	463	Browse
4	ချင်းပြည်နယ် (Chin)	4	20	543	Browse
5	စစ်ကိုင်းတိုင်းဒေသကြီး (Sagaing)	11	42	1,889	Browse
6	တနင်္သာရီတိုင်းဒေသကြီး (Tanintharyi)	3	18	358	Browse
7	ပဲခူးတိုင်းဒေသကြီး (Bago)	4	51	1,804	Browse
8	မကွေးတိုင်းဒေသကြီး (Magway)	5	32	1,677	Browse
9	မန္တလေးတိုင်းဒေသကြီး (Mandalay)	7	34	1,703	Browse
10	မွန်ပြည်နယ် (Mon)	2	17	494	Browse
11	ရခိုင်ပြည်နယ် (Rakhine)	5	28	1,245	Browse
12	ရန်ကုန်တိုင်းဒေသကြီး (Yangon)	4	49	1,408	Browse
13	ရှမ်းပြည်နယ် (Shan)	14	86	2,077	Browse
14	ဧရာဝတီတိုင်းဒေသကြီး (Ayeyarwady)	6	45	2,230	Browse
15	နေပြည်တော် (Nay Pyi Taw)	2	8	248	Browse

Data Files

File	Format	Description
all-region.json	JSON	All 15 state/region records
all-district.json	JSON	All 77 district records
all-township.json	JSON	All 491 township records
ward-by-region/	JSON	17,043 ward/village tracts split by state/region
all-flat.json	JSON	Levels 1-3 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} state/regions`);

Schema

Field	Type	Description
id	string	Unique identifier
level	integer	1=state/region, 2=district, 3=township, 4=ward/village tract
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}/
divisions/{region-slug}/{district-slug}/{township-slug}/

Ward/Village Tracts are listed inline in each township's README.

AI Integration

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

Citation

Myanmar Administrative Divisions Dataset (CC-BY-4.0)
URL: https://github.com/open-admin-data/myanmar-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