Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Data and Resources TIFF Bangladesh - Population density (2015) DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid...

The population density in Bangladesh reached its highest in 2020, amounting to approximately 1.27 thousand people per square kilometer. The South Asian country was the tenth most densely populated country in the world in 2019. Within the Asia Pacific region, Bangladesh’s population density was only exceeded by Macao, Singapore, Hong Kong, and the Maldives. Overall, Asia had the highest population density in the world in 2018.

Population growth in Bangladesh

In 1971, Bangladesh gained its independence from Pakistan. Bangladesh’s birth rate and mortality rate had declined significantly in the past years with a life expectancy of 72.59 years in 2019. In general, the population in Bangladesh had been growing at a slow pace, slightly fluctuating around an annual rate of one percent. This growth was forecasted to continue, although it was estimated to halve by 2040. As of today, Dhaka is the largest city in Bangladesh.

Population density explained

According to the source, “population density is the mid-year population divided by land area in square kilometers.” Further, “population is based on the de facto definition of population, which counts all residents.” Bangladesh’s population reached an estimated number of 164.69 million inhabitants in 2020. In 2018, the country’s land area amounted 130.2 thousand square kilometers.

Actual value and historical data chart for Bangladesh Population Density People Per Sq Km

Bangladesh BD: Population Density: People per Square Km data was reported at 1,301.259 Person/sq km in 2022. This records an increase from the previous number of 1,287.999 Person/sq km for 2021. Bangladesh BD: Population Density: People per Square Km data is updated yearly, averaging 882.459 Person/sq km from Dec 1961 (Median) to 2022, with 62 observations. The data reached an all-time high of 1,301.259 Person/sq km in 2022 and a record low of 409.544 Person/sq km in 1961. Bangladesh BD: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.;Food and Agriculture Organization and World Bank population estimates.;Weighted average;

Historical dataset showing Bangladesh population density by year from 1961 to 2022.

Bangladesh BD: Population Density: Inhabitants per sq km data was reported at 1,301.260 Person in 2022. This records an increase from the previous number of 1,288.000 Person for 2021. Bangladesh BD: Population Density: Inhabitants per sq km data is updated yearly, averaging 1,124.730 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1,301.260 Person in 2022 and a record low of 857.600 Person in 1990. Bangladesh BD: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Bangladesh – Table BD.OECD.GGI: Social: Demography: Non OECD Member: Annual.

Bangladesh is largely ethnically homogeneous, and its name derives from the Bengali ethno-linguistic group which comprises 98% of the population. The Chittagong Hill Tracts, Sylhet, Mymensingh and North Bengal divisions are home to diverse indigenous peoples. There are many dialects of Bengali spoken throughout the region. The dialect spoken by those in Chittagong and Sylhet are particularly distinctive. In 2013 the population was estimated at 160 million. About 87% of Bangladeshis are Muslims, followed by Hindus (12%), Buddhists (1%) and Christians (0.5%).

Bangladesh has the highest population density in the world, excluding a handful of city-states and small countries with populations under 10m, such as Malta and Hong Kong.

Most of the demographic statistics below are from the Bangladesh Bureau of Statistics, World Bank and CIA World Fackbook, unless otherwise indicated.

Estimated population density per grid-cell. The dataset is available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc (approximately 1km at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per square kilometer. The units are number of people per square kilometre based on country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects). The mapping approach is Random Forest-based dasymetric redistribution.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)

-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method.

Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Bangladesh data available from WorldPop here.

In 1800, the population of the area of modern-day Bangladesh was estimated to be just over 19 million, a figure which would rise steadily throughout the 19th century, reaching over 26 million by 1900. At the time, Bangladesh was the eastern part of the Bengal region in the British Raj, and had the most-concentrated Muslim population in the subcontinent's east. At the turn of the 20th century, the British colonial administration believed that east Bengal was economically lagging behind the west, and Bengal was partitioned in 1905 as a means of improving the region's development. East Bengal then became the only Muslim-majority state in the eastern Raj, which led to socioeconomic tensions between the Hindu upper classes and the general population. Bengal Famine During the Second World War, over 2.5 million men from across the British Raj enlisted in the British Army and their involvement was fundamental to the war effort. The war, however, had devastating consequences for the Bengal region, as the famine of 1943-1944 resulted in the deaths of up to three million people (with over two thirds thought to have been in the east) due to starvation and malnutrition-related disease. As the population boomed in the 1930s, East Bengal's mismanaged and underdeveloped agricultural sector could not sustain this growth; by 1942, food shortages spread across the region, millions began migrating in search of food and work, and colonial mismanagement exacerbated this further. On the brink of famine in early-1943, authorities in India called for aid and permission to redirect their own resources from the war effort to combat the famine, however these were mostly rejected by authorities in London. While the exact extent of each of these factors on causing the famine remains a topic of debate, the general consensus is that the British War Cabinet's refusal to send food or aid was the most decisive. Food shortages did not dissipate until late 1943, however famine deaths persisted for another year. Partition to independence Following the war, the movement for Indian independence reached its final stages as the process of British decolonization began. Unrest between the Raj's Muslim and Hindu populations led to the creation of two separate states in1947; the Muslim-majority regions became East Pakistan (now Bangladesh) and West Pakistan (now Pakistan), separated by the Hindu-majority India. Although East Pakistan's population was larger, power lay with the military in the west, and authorities grew increasingly suppressive and neglectful of the eastern province in the following years. This reached a tipping point when authorities failed to respond adequately to the Bhola cyclone in 1970, which claimed over half a million lives in the Bengal region, and again when they failed to respect the results of the 1970 election, in which the Bengal party Awami League won the majority of seats. Bangladeshi independence was claimed the following March, leading to a brutal war between East and West Pakistan that claimed between 1.5 and three million deaths in just nine months. The war also saw over half of the country displaced, widespread atrocities, and the systematic rape of hundreds of thousands of women. As the war spilled over into India, their forces joined on the side of Bangladesh, and Pakistan was defeated two weeks later. An additional famine in 1974 claimed the lives of several hundred thousand people, meaning that the early 1970s was one of the most devastating periods in the country's history. Independent Bangladesh In the first decades of independence, Bangladesh's political hierarchy was particularly unstable and two of its presidents were assassinated in military coups. Since transitioning to parliamentary democracy in the 1990s, things have become comparatively stable, although political turmoil, violence, and corruption are persistent challenges. As Bangladesh continues to modernize and industrialize, living standards have increased and individual wealth has risen. Service industries have emerged to facilitate the demands of Bangladesh's developing economy, while manufacturing industries, particularly textiles, remain strong. Declining fertility rates have seen natural population growth fall in recent years, although the influx of Myanmar's Rohingya population due to the displacement crisis has seen upwards of one million refugees arrive in the country since 2017. In 2020, it is estimated that Bangladesh has a population of approximately 165 million people.

View yearly updates and historical trends for Bangladesh Population Density. Source: World Bank. Track economic data with YCharts analytics.

Dataset

This dataset was created by Rubayet Alam

Released under CC0: Public Domain

Contents

Comprehensive socio-economic dataset for Bangladesh including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Exploring City Population Data of Bangladesh

The dataset contains comprehensive information about various cities in Bangladesh, including their population statistics across different years. Analyzing this dataset offers valuable insights into the demographic trends, urban development, and population dynamics within Bangladesh.

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Dataset Overview:

Source: The data was scraped from the webpage https://www.citypopulation.de/en/bangladesh/cities/ & https://en.wikipedia.org/wiki/Districts_of_Bangladesh **Content: **The dataset contains information about cities in Bangladesh, including their names, population, and other relevant demographic data. **Format: **The data is presented in a tabular format within an HTML table on the webpage.

• Cities: The dataset encompasses a diverse range of cities across Bangladesh, representing different regions, sizes, and administrative statuses.
• Population Trends: Population data is provided for multiple years, spanning from 1991 to 2022. This allows for a longitudinal analysis of population growth, migration patterns, and urbanization trends over time.
• Geographical Information: In addition to population statistics, the dataset includes details about the geographical area of each city in square kilometers, providing context for population density and spatial distribution.
• City Status: The dataset categorizes cities based on their administrative status, such as urban, rural, or special administrative regions, offering insights into the urban-rural divide and administrative structures within Bangladesh.
• Native Names: Native or local names of cities are included, reflecting the linguistic and cultural diversity of Bangladesh.
• Administrative Divisions: Information about the division to which each city belongs is included, offering insights into the administrative structure of Bangladesh.

Fields: The dataset likely includes fields such as:

1. Name: The official name of the city as recognized by administrative authorities.
2. Abbr.: The abbreviation or short form of the city name, often used for convenience or in informal contexts.
3. Division: The administrative division to which the city belongs.
4. Established: The status or classification of the city, indicating whether it is urban, rural, or possibly a special administrative region.
5. Native: The native or local name of the city, which may differ from the official name and is often used by residents.
6. Area (km2): The total land area of the city in square kilometers, providing information about its geographical size.
7. Population_1991: The population of the city as recorded in the year 1991, serving as a historical reference point for demographic changes.
8. Population_2001: The population of the city as recorded in the year 2001, allowing for comparison with earlier and later population data.
9. Population_2011: The population of the city as recorded in the year 2011, providing insight into population trends over time.
10. Population_2022: The population of the city as recorded in the year 2022, offering recent demographic information for analysis and decision-making.

These columns collectively offer a comprehensive view of the cities in Bangladesh, encompassing their names, status, native names, geographical dimensions, and population dynamics across multiple years.

Objective:

The objective of exploring this dataset is to gain a deeper understanding of the population dynamics and urban development patterns within Bangladesh. By analyzing population trends, demographic shifts, and geographical distributions, stakeholders can make informed decisions regarding infrastructure development, resource allocation, and urban planning initiatives.

Analytical Approach:

Analyzing the dataset may involve various analytical techniques, including:

• Descriptive Statistics: Calculating summary statistics such as mean, median, and standard deviation to understand the distribution of population, area, and population density among cities.

• Time Series Analysis: Examining population trends over time to identify growth rates, patterns, and fluctuations.

• Spatial Mapping: Visualizing population density and distribution across different regions of Bangladesh using maps and geographical information systems (GIS).

• Division-wise Analysis: Comparing population dynamics and urbanization trends across different administrative divisions to understand regional variations and disparities.

By employing these analytical approaches, stakeholders can derive meaningful insights from the dataset to support evidence-based decision-making and policy formulation.

Dataset Overview This dataset contains district-wise population data of Bangladesh along with corresponding geographic coordinates (latitude and longitude).

Contents

1. District name
2. Population count (as per available sources)
3. Latitude
4. Longitude

Use Cases 1. Mapping population distribution across Bangladesh 2. Building geospatial visualizations (heatmaps, choropleths) 3. Demographic and geographic research 4. Training machine learning models involving population density and location-based analysis

Sources Data compiled from publicly available internet sources (government and open data portals).

License Released under CC BY-SA 4.0 — free to use with attribution.

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Bangladesh: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Here I upload my all research data of COVID-19 outbreak in Bangladesh from 8th March to 30th July cumulative confirmed cases by districts wise. Here also population density by districts wise

Description for the Dataset

Title: Comprehensive Socio-Economic and Environmental Dataset of Bangladesh 1980-2023

Description:
This dataset provides an extensive overview of Bangladesh's socio-economic, demographic, and environmental indicators over time. It encompasses a wide array of features, including literacy rates, population statistics, economic growth metrics, trade balances, environmental indicators, healthcare spending, and poverty rates. The dataset aims to facilitate research and analysis on Bangladesh's development trends, policy impacts, and sustainability challenges.

Key Features: - Population and Demographics: Includes total population, growth rates, population density, birth/death rates, infant mortality rates, fertility rates, urban and rural population distributions, and migration statistics.
- Economic Indicators: GDP, GNP, GNI, trade balances, export and import metrics, inflation rates, unemployment rates, labor force participation, and foreign direct investment.
- Poverty and Social Metrics: National, rural, and urban poverty rates, literacy rates, healthcare spending, and maternal mortality rates.
- Environmental Metrics: Tree cover loss, carbon emissions, renewable energy usage, deforestation causes, and greenhouse gas emissions.
- Infrastructure and Development: Access to electricity and clean water, arable land, private vehicles, and tourism spending.
- Crime and Defense: Crime rates, homicide rates, and military spending.
- Education: Education spending as a percentage of GDP and youth unemployment rates.

Intended Use:
This dataset is designed for data analysis, trend forecasting, and machine learning applications. It is suitable for researchers, policymakers, and analysts studying socio-economic development, environmental sustainability, and public policy in Bangladesh.

Source and Methodology:
The dataset aggregates publicly available statistics from reliable sources, including government reports, international organizations, and research publications. It has been curated and processed to ensure consistency and usability.

Potential Applications:
- Analyzing the impact of socio-economic policies on literacy and poverty rates.
- Forecasting demographic and economic growth trends.
- Exploring the relationship between environmental changes and economic activities.
- Studying the effects of urbanization and migration on rural-urban dynamics.

License:
CC BY-SA 4.0

Keywords:
Bangladesh, Socio-Economic Indicators, Environmental Metrics, Development Trends, Poverty Rates, Literacy Rates, GDP, Carbon Emissions, Renewable Energy, Migration.

人口密度：每平方公里人口在12-01-2022达1,301.259Person/sq km，相较于12-01-2021的1,287.999Person/sq km有所增长。人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2022期间平均值为882.459Person/sq km，共62份观测结果。该数据的历史最高值出现于12-01-2022，达1,301.259Person/sq km，而历史最低值则出现于12-01-1961，为409.544Person/sq km。CEIC提供的人口密度：每平方公里人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的孟加拉 – Table BD.World Bank.WDI: Population and Urbanization Statistics。