🇧🇩 Bangladesh Administrative Data Repository

The most comprehensive open dataset of Bangladesh's administrative geography

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🌟 What's Inside

A complete, researcher-ready dataset covering 491 Upazilas and 767 Police Thanas across all 8 divisions and 64 districts of Bangladesh — with 22 data categories spanning demographics, health, education, infrastructure, agriculture, crime, gender, digital economy, disaster risk, and more.

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📁 Repository Structure

bangladesh-administrative-data/
│
├── 📄 README.md
├── 🖼️  banner.svg                          ← Flag banner (used above)
│
├── 📊 excel/                               ← Full Excel workbooks (multi-sheet)
│   ├── Bangladesh_Upazila_Comprehensive.xlsx
│   ├── Bangladesh_Upazila_Expanded.xlsx
│   └── Bangladesh_Police_Thana_COMPLETE_FINAL.xlsx
│
├── 📂 csv/
│   ├── upazila/                            ← 15 CSVs · 491 rows each
│   │   ├── upazila_01_overview.csv
│   │   ├── upazila_02_education.csv
│   │   ├── upazila_03_healthcare.csv
│   │   ├── upazila_04_infrastructure.csv
│   │   ├── upazila_05_agriculture.csv
│   │   ├── upazila_06_water_sanitation.csv
│   │   ├── upazila_07_disaster_risk.csv
│   │   ├── upazila_08_administrative.csv
│   │   ├── upazila_09_poverty_development.csv
│   │   ├── upazila_12_employment_labour.csv
│   │   ├── upazila_13_gender_social.csv
│   │   ├── upazila_14_transport_connectivity.csv
│   │   ├── upazila_15_housing_living.csv
│   │   ├── upazila_16_religion_ethnicity.csv
│   │   └── upazila_17_digital_economy.csv
│   │
│   ├── thana/                              ← 7 CSVs · 767 rows each
│   │   ├── thana_01_directory.csv
│   │   ├── thana_02_policing.csv
│   │   ├── thana_03_demographics.csv
│   │   ├── thana_04_infrastructure.csv
│   │   ├── thana_05_crime.csv
│   │   ├── thana_06_special_jurisdiction.csv
│   │   └── thana_07_economic_profile.csv
│   │
│   └── summary/                            ← Merged & summary files
│       ├── upazila_master_merged.csv       ⭐ All 15 categories · 491 rows · 112 cols
│       ├── thana_master_merged.csv         ⭐ All 7 categories  · 767 rows · 56 cols
│       ├── upazila_division_summary.csv
│       ├── thana_division_summary.csv
│       └── data_dictionary.csv             ← Field-by-field documentation

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📊 Data Categories

🏘️ Upazila Level — 491 Upazilas

#	File	Key Fields
01	upazila_01_overview.csv	Area, population, density, urban %, economy
02	upazila_02_education.csv	Literacy rate, schools, enrolment rate
03	upazila_03_healthcare.csv	Hospitals, doctors, nurses, immunisation, MMR
04	upazila_04_infrastructure.csv	Roads, electricity, internet, mobile, banking
05	upazila_05_agriculture.csv	Crops, irrigated land, fisheries, agri HH%
06	upazila_06_water_sanitation.csv	Safe water, sanitation, arsenic risk
07	upazila_07_disaster_risk.csv	Flood, cyclone, drought, climate vulnerability
08	upazila_08_administrative.csv	Unions, municipalities, constituencies
09	upazila_09_poverty_development.csv	Poverty rate, HDI, NGOs, food security
12	upazila_12_employment_labour.csv	Labour force, unemployment, sector split
13	upazila_13_gender_social.csv	Sex ratio, child marriage, women empowerment
14	upazila_14_transport_connectivity.csv	Highways, railway, ports, bridges
15	upazila_15_housing_living.csv	Dwelling type, assets, cooking fuel
16	upazila_16_religion_ethnicity.csv	Religious composition, ethnic groups, languages
17	upazila_17_digital_economy.csv	Smartphone, MFS, 4G, e-commerce, freelancers
⭐	upazila_master_merged.csv	All 15 categories merged · 112 columns

🚔 Police Thana Level — 767 Thanas

#	File	Key Fields
01	thana_01_directory.csv	Name, type, area, population, OC rank, FIRs
02	thana_02_policing.csv	Officers, constables, vehicles, detection rate
03	thana_03_demographics.csv	Population, density, gender, literacy
04	thana_04_infrastructure.csv	Roads, electricity, internet, 4G, banks
05	thana_05_crime.csv	Total crime, murder, robbery, narcotics, GBV
06	thana_06_special_jurisdiction.csv	Border, EPZ, port, tourism, flood/cyclone risk
07	thana_07_economic_profile.csv	Poverty, employment, remittance, e-commerce
⭐	thana_master_merged.csv	All 7 categories merged · 56 columns

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🗺️ Administrative Coverage

Division	Upazilas	Police Thanas	Districts
🟢 Barisal	42	78	6
🔴 Chittagong	103	128	11
🟩 Dhaka	67	181	13
🔵 Khulna	59	85	10
🟣 Mymensingh	35	62	4
🟠 Rajshahi	70	88	8
🟤 Rangpur	58	78	8
🟡 Sylhet	38	67	4
Total	491	767	64

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🚀 Quick Start

Python

import pandas as pd

# All upazila data in one file (491 rows × 112 columns)
df = pd.read_csv("csv/summary/upazila_master_merged.csv")
print(df.shape)

# Top 10 most literate upazilas
edu = pd.read_csv("csv/upazila/upazila_02_education.csv")
print(edu[["Division", "Upazila", "Literacy Rate (%)"]]\
      .sort_values("Literacy Rate (%)", ascending=False).head(10))

# Filter metropolitan police thanas
thanas = pd.read_csv("csv/thana/thana_01_directory.csv")
metro  = thanas[thanas["Thana Type"] == "Metropolitan"]
print(f"Metropolitan thanas: {len(metro)}")

# Upazilas with Very High flood risk
risk = pd.read_csv("csv/upazila/upazila_07_disaster_risk.csv")
print(risk[risk["Flood Risk"] == "Very High"][["Division","Upazila"]])

R

library(tidyverse)

df <- read_csv("csv/summary/upazila_master_merged.csv")

# Average literacy by division
df %>%
  group_by(Division) %>%
  summarise(avg_literacy = mean(`Literacy Rate (%)`, na.rm = TRUE)) %>%
  arrange(desc(avg_literacy))

# Crime totals by division
crime <- read_csv("csv/thana/thana_05_crime.csv")
crime %>%
  group_by(Division) %>%
  summarise(total = sum(`Total Crimes (annual)`, na.rm = TRUE)) %>%
  arrange(desc(total))

Excel / Power BI / Tableau

Open any .csv file directly — UTF-8 encoding, headers in row 1, no preprocessing needed.

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🔑 Joining Keys

Level	Key Columns
Upazila files	Division + District + Upazila
Thana files	Division + District + Thana / Police Station

Thana Types

Type	Description
Metropolitan	DMP / CMP / KMP / SMP city thanas
City	District city or municipality thanas
Sadar	Upazila headquarters thanas
Rural	General rural coverage
Industrial	EPZ, factory-cluster, port-industrial
Border	India / Myanmar border thanas
Coastal	Bay of Bengal coastal thanas
River	Haor / river / ferry-ghat thanas
Hill	Chittagong Hill Tracts
Tea	Tea-garden area (Sylhet Division)
Tourism	Beach / heritage / eco-tourism

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⚠️ Disclaimer

All secondary indicators are modelled estimates derived from division-level official statistics using population-weighted calibration.

✅ Suitable for: comparative analysis · planning · research · teaching · visualisation
❌ Not for: official government reporting · legal or policy decisions requiring verified data

Official sources: bbs.gov.bd · police.gov.bd · dghs.gov.bd · lgd.gov.bd

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📜 License

Released under Creative Commons Zero v1.0 Universal (CC0) — free for any purpose, no permission needed.

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🙌 Contributing

Pull requests are welcome! If you have official data, corrections, or additional variables, please open an Issue or submit a PR.

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📬 Citation

@misc{bangladesh_admin_data_2024,
  title = {Bangladesh Administrative Data Repository},
  note  = {Upazila and Police Thana level dataset for Bangladesh},
  year  = {2024},
  url   = {https://github.com/goshamishagar/bangladesh-administrative-data}
}

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Made with ❤️ for Bangladesh 🇧🇩

Last updated: June 2026 · Reference year: 2022 · 491 Upazilas · 767 Thanas · 22 categories