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Data and Resources. Unnamed resource. Online link to the 'provinsi' description on GeoNode. Explore. provinsi.csv WFS. provinsi (CSV Format) Explore. provinsi.zip. provinsi (Original Dataset Format)
Country Province District Sub-district Village Island Ocean. Landuse -Indonesia. The land use dataset for Indonesia is sourced from the Ministry of Environment and Forestry (KLHK) and is available in Shapefile format.
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Where can I find a dataset for administrative boundaries of Indonesia?
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Provides the administrative areas data of Indonesia (province, regency, district, village, and island) based on the latest official sources.
If you are upgrading from version 2 to version 3, please read the upgrade guide.
ESM
Import specific function only : Import the entire module :
CommonJS
Since version 3.0.0, idn-area-data is published as ECMAScript Module (ESM). So that, for CommonJS user, you need to import it using dynamic import like this : Then, you can get the data you need using these methods below.
getProvinces()
Asynchronous function to get all provinces data.
getRegencies(?options)
Asynchronous function to get all regencies data If options.transform argument is true, the property naming will be changed from snake_case into camelCase.
getDistricts(?options)
Asynchronous function to get all districts data. If options.transform argument is true, the property naming will be changed from snake_case into camelCase.
You can try to run this package in the code playground :
This package is a solution that addresses the limitations of other existing packages, repositories, or sources that provides Indonesian area data. Here's why it's the perfect choice for developers :
1.Up-to-date and Government-Sourced Data
This package ensures that you have access to the most current Indonesian area data. We rely on official government sources, guaranteeing that the information provided is reliable and up-to-date.
2.Seamless Database Integration
This package offers data in a format that seamlessly integrates with various databases. Unlike other sources that provide data solely in SQL query or JSON, this package store the data sources in CSV and use JavaScript to parse it into an array. You can easily insert the data into any database by using database integration tools like Prisma, Sequelize, node-postgres, mongodb, etc. This approach ensures compatibility with a wide range of databases.
3.Easy Integration and Minimum Package Size
The data we used is based on official data from the government and stored in separated CSV files by the levels in data directory.
Reporting a Bug
To report a bug, please open a new issue following the guide here.
Requesting a New Feature
If you have a new feature in mind, please open a new issue following the guide here.
Asking a Question
If you have a question, you can search for answers in the GitHub Discussions Q&A category here. If you don't find a relevant discussion already, you can open a new discussion.
Postal codes, provinces & regions data in various formats. - MySQL. - PostgreSQL. - JSON . - Csv . - SQLite. Indonesia Postal Codes Database. Database Kode Pos Indonesia - Kelurahan - Kecamatan - Kota. follow https://sig-dev.bps.go.id/webgis/pencariankodenama#data-table. I've got wrong !! The province code difference between PAPUA on BPS is 94.
- Nama Kota
- kecamatan
- Increment number / kode urut otomatis
- Nama Kelurahan
The Indonesia Database for Policy and Economic Research (INDO-DAPOER) contains over 200 province- and district-level indicators which span across four main categories: fiscal, economic, social and demographic, as well as infrastructure.
Dec 25, 2019 · First of all, open the data from the Drive to be loading into Google Colabs, the geospatial format was the original from the providers (in geojson format) Opening for spatial data from Kemendagri which hard to interpreting at the first time because the annoying column name. To better understand each and every column, you can see the real name here.
This example demonstrates how to fetch data from the 'wilayah/administratif' endpoint, which provides information about all the regions in Indonesia, including the provinces and the cities/regencies. Here's the code: const API_KEY = '<your-api-key>'; const API_URL = 'https://data.go.id/api';
