bd-geodata

Offline geographic data for Bangladesh, including divisions, districts, upazilas, unions, and areas. This package provides a comprehensive dataset of geographic locations within Bangladesh, making it an essential tool for developers, researchers, and anyone working with geographic data in the region.

Key Features

• No Internet Required: Fully offline dataset, ideal for local development and offline use cases.
• Hierarchical Data: Organized data structure for easy access to divisions, districts, upazilas, unions, and areas.
• Lightweight & Fast: Optimized for quick lookups and low memory usage.
• Easy to Use: Simple APIs to fetch data based on IDs for seamless integration.

Data Structure Overview

The data is divided into five hierarchical levels:

1. Divisions (e.g., Dhaka, Chattogram)
2. Districts (e.g., Comilla, Feni)
3. Upazilas (e.g., Debidwar, Barura)
4. Unions (e.g., Subil, North Gunaighor)
5. Areas (e.g., Barura, Brahmanpara)

Division Names with IDs

Here is a table of division names with their corresponding IDs for reference:

Division ID	Division Name	Bengali Name
1	Chattagram	চট্টগ্রাম
2	Rajshahi	রাজশাহী
3	Khulna	খুলনা
4	Barisal	বরিশাল
5	Sylhet	সিলেট
6	Dhaka	ঢাকা
7	Rangpur	রংপুর
8	Mymensingh	ময়মনসিংহ

Districts in Chattagram Division (ID: 1)

To give you an example of the districts available in Chattagram, here are some district names under Division ID 1:

District ID	District Name	Bengali Name
1	Comilla	কুমিল্লা
2	Feni	ফেনী
3	Brahmanbaria	ব্রাহ্মণবাড়িয়া

This hierarchy continues down to the area level.

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Installation

You can install the package using npm:

npm install bd-geodata

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Usage

After installation, you can import the package and use its functions to access the geographic data. Here are some example use cases:

Example 1: Get All Divisions

import { getDivisions } from 'bd-geodata';

console.log(getDivisions());

Example 2: Get Districts by Division ID

import { getDistrictsByDivision } from 'bd-geodata';

// Fetch districts in Division ID: 1 (Chattagram)
console.log(getDistrictsByDivision('1'));

Example 3: Get Upazilas by District ID

import { getUpazilasByDistrict } from 'bd-geodata';

// Fetch upazilas in District ID: 1 (Comilla)
console.log(getUpazilasByDistrict('1'));

Example 4: Get Unions by Upazila ID

import { getUnionsByUpazila } from 'bd-geodata';

// Fetch unions in Upazila ID: 1 (Debidwar)
console.log(getUnionsByUpazila('1'));

Example 5: Get Areas by District ID

import { getAreasByDistrict } from 'bd-geodata';

// Fetch areas in District ID: 1 (Comilla)
console.log(getAreasByDistrict('1'));

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Visualization Example (Optional)

If you want to visualize this data using a tool like D3.js or Google Charts, you can easily map the hierarchical relationships.

Here is an example of how you might represent the divisions, districts, upazilas, and areas in a tree structure using D3.js:

const data = {
  name: 'Bangladesh',
  children: [
    {
      name: 'Chattagram',
      children: [
        {
          name: 'Comilla',
          children: [
            { name: 'Debidwar' },
            { name: 'Barura' }
          ]
        },
        {
          name: 'Feni',
          children: [
            { name: 'Feni Sadar' }
          ]
        }
      ]
    }
  ]
};

// Use D3.js to generate a tree visualization from the data object.

This code snippet shows the hierarchical structure for a division with its districts, upazilas, and areas. You can use tools like D3.js or Chart.js to visualize the geographic hierarchy.

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API Documentation

getDivisions()

• Returns: An array of all divisions in Bangladesh.

getDistrictsByDivision(divisionId)

• Params:
  • divisionId: The ID of the division (string).
• Returns: An array of districts belonging to the specified division.

getUpazilasByDistrict(districtId)

• Params:
  • districtId: The ID of the district (string).
• Returns: An array of upazilas belonging to the specified district.

getUnionsByUpazila(upazilaId)

• Params:
  • upazilaId: The ID of the upazila (string).
• Returns: An array of unions belonging to the specified upazila.

getAreasByDistrict(districtId)

• Params:
  • districtId: The ID of the district (string).
• Returns: An array of areas belonging to the specified district.

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Use Cases

1. Emergency Response Systems

This data can be used by government or NGOs to develop applications that help citizens quickly identify their nearest upazilas, unions, and areas in disaster relief efforts.

2. Geographic Visualizations

The package can be used in mapping applications to visualize the boundaries and hierarchical relationships between divisions, districts, upazilas, unions, and areas.

3. Offline Applications

For apps that need to function in areas with low or no internet connectivity, this package provides an offline database for geographic queries.

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Contribution

If you'd like to contribute to this package, feel free to submit a pull request or open an issue. Contributions for more data or improvements in functionality are always welcome!

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License

This package is licensed under the MIT License.

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Roadmap

• Add Thana Data: Extend the package to include thana-level data.
• Data Updates: Ensure data is kept up to date with official government sources.
• Integration with Map APIs: Provide more functions to integrate with mapping services like Google Maps or Leaflet.

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Frontend Example

Here is an example of how you might use this package in a React application to dynamically fetch and display geographic data based on user selection:

import React, { useState, useEffect } from 'react';
import { getDivisions, getDistrictsByDivision, getUpazilasByDistrict, getUnionsByUpazila, getAreasByDistrict } from 'bd-geodata';

const TestPage = () => {
    const [division, setDivision] = useState('');
    const [district, setDistrict] = useState('');
    const [upazila, setUpazila] = useState('');
    const [union, setUnion] = useState('');
    const [selectedArea, setSelectedArea] = useState([]);
    const [areas, setAreas] = useState([]);

    useEffect(() => {
        const fetchAreas = async () => {
            const areasData = getAreasByDistrict(district);
            setAreas(areasData);
        };

        fetchAreas();
    }, [district]);

    const handleDivisionChange = (e) => {
        setDivision(e.target.value);
    };

    const handleDistrictChange = (e) => {
        setDistrict(e.target.value);
    };

    const handleUpazilaChange = (e) => {
        setUpazila(e.target.value);
    };

    const handleUnionChange = (e) => {
        setUnion(e.target.value);
    };

    const handleAreaChange = (e) =>{
        setSelectedArea(e.target.value);
    }

    const divisions = getDivisions();
    const districts = getDistrictsByDivision(division);
    const upazilas = getUpazilasByDistrict(district);
    const unions = getUnionsByUpazila(upazila);

    return (
        <div>
            <form className="grid grid-cols-2 md:grid-cols-3 lg:grid-cols-4 justify-between py-10 gap-4 w-10/12 md:w-8/12 lg:w-7/12 mx-auto">
                <select className="border ps-6 pe-10 py-3" value={division} onChange={handleDivisionChange}>
                    <option value="">Select Division</option>
                    {divisions.map((division) => (
                        <option key={division.id} value={division.id}>{division.name}</option>
                    ))}
                </select>
                <select className="border ps-6 pe-10 py-3" value={district} onChange={handleDistrictChange}>
                    <option value="">Select District</option>
                    {districts.map((district) => (
                        <option key={district.id} value={district.id}>{district.name}</option>
                    ))}
                </select>
                <select className="border ps-6 pe-10 py-3" value={upazila} onChange={handleUpazilaChange}>
                    <option value="">Select Upazila</option>
                    {upazilas.map((upazila) => (
                        <option key={upazila.id} value={upazila.id}>{upazila.name}</option>
                    ))}
                </select>
                <select className="border ps-6 pe-10 py-3" value={union} onChange={handleUnionChange}>
                    <option value="">Select Union</option>
                    {unions.map((union) => (
                        <option key={union.id} value={union.id}>{union.name}</option>
                    ))}
                </select>
                <select className="border ps-6 pe-10 py-3" value={selectedArea} onChange={handleAreaChange}>
                    <option value="">Select Area</option>
                    {areas.map((area, index) => (
                        <option key={index} value={area}>{area}</option>
                    ))}
                </select>
            </form>
        </div>
    );
};

export default TestPage;