Indonesia GeoJSON & TopoJSON Maps (38 Provinces)

This repository provides Indonesia province boundaries in GeoJSON and TopoJSON format, updated to 38 provinces (including the newer Papua-region provinces).

Source article: https://dev.to/denyherianto/geojson-topojson-maps-of-indonesia-38-provinces-591n

What’s Included

• GeoJSON/indonesia-38-provinces.geojson (≈ 254 KB)
• TopoJSON/indonesia-38-provinces.topo.json (≈ 49 KB)

Both files contain 38 features/geometries (one per province).

GeoJSON vs TopoJSON (Quick Recap)

Feature	GeoJSON	TopoJSON
Readability	High	Medium
File size	Larger	Smaller
Browser performance	Can be heavier	Typically faster
Best for	Simpler maps / overlays	Data viz / dashboards (D3)

Data Fields (Properties)

The province name and code are available under properties:

• PROVINSI: province name (e.g. Jawa Barat)
• KODE_PROV: province code as a string (e.g. 32)

GeoJSON (GeoJSON/indonesia-38-provinces.geojson) also includes:

• id: string identifier (same value as KODE_PROV in this dataset)

Usage Examples

Leaflet (GeoJSON)

import L from "leaflet";
import provinces from "./GeoJSON/indonesia-38-provinces.geojson";

L.geoJSON(provinces, {
  style: {
    color: "#1e40af",
    weight: 1,
    fillOpacity: 0.6,
  },
  onEachFeature: (feature, layer) => {
    layer.bindPopup(feature.properties.PROVINSI);
  },
}).addTo(map);

D3 (TopoJSON → GeoJSON)

import * as d3 from "d3";
import { feature } from "topojson-client";
import topoData from "./TopoJSON/indonesia-38-provinces.topo.json";

const objectName = "indonesia-38-prov-topo";
const provinces = feature(topoData, topoData.objects[objectName]);

const width = 800;
const height = 600;

const svg = d3
  .select("#map")
  .append("svg")
  .attr("width", width)
  .attr("height", height);

const projection = d3
  .geoMercator()
  .fitSize([width, height], provinces);

const path = d3.geoPath().projection(projection);

svg
  .selectAll("path")
  .data(provinces.features)
  .enter()
  .append("path")
  .attr("d", path)
  .attr("fill", "#60a5fa")
  .attr("stroke", "#1e3a8a")
  .append("title")
  .text((d) => d.properties.PROVINSI);

Common Use Cases

• Choropleth maps (elections, demographics, analytics)
• Logistics/coverage planning
• Civic/government dashboards
• Disaster & flood tracking
• Mobile-first data visualizations

Notes

• Province boundaries and naming can differ across sources and time. If you spot an issue (typo, missing/extra province, mismatched code), please open an issue or PR with references.

License

• Dataset files are licensed under DATA_LICENSE.md (CC BY 4.0).
• Documentation and any scripts (if added) are licensed under LICENSE (MIT).

Contributing

See CONTRIBUTING.md.