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. India data available from WorldPop here. Data and Resources TIFF India - Population density (2015) DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid...

The population density in India was 479.43 people in 2022. In a steady upward trend, the population density rose by 329.23 people from 1961.

India is the most populous country in the world with one-sixth of the world's population. According to official estimates in 2022, India's population stood at over 1.42 billion.

This dataset contains the population distribution by state, gender, sex & region.

The file is in .csv format thus it is accessible everywhere.

In 2022, the union territory of Delhi had the highest urban population density of over ** thousand persons per square kilometer. While the rural population density was highest in union territory of Puducherry, followed by the state of Bihar.

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

Content

The current population of India is 1,403,717,340 as of Sunday, April 3, 2022, based on Worldometer elaboration of the latest United Nations data. This three datasets contain population data of India (2020 and historical), population forecast and population in major cities.

Attribute Information

• Year - Years from 2020-1955
• Population - Population in the respective year
• Yearly % Change - Percentage Yearly Change in Population
• Yearly Change - Yearly Change in Population
• Migrants (net) - Total number of migrants
• Median Age - Median age of the population
• Fertility Rate - Fertility rate
• Density (P/Km²)- Population density (population per square km)
• Urban Pop %- Percentage of urban population
• Urban Population- Urban population
• Country's Share of World Pop - Population share
• World Population - World Population in the respective year
• India Global Rank - Global Rank in Population

Source

Link : https://www.worldometers.info/world-population/india-population/

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India's population density has seen a dramatic rise since 1951, reflecting significant demographic shifts over the past six decades. In 1951, the density stood at 117 people per square kilometer, highlighting India's largely rural society at the time. Over the next 60 years, this figure more than tripled, reaching 382 people per square kilometer by 2011. Key drivers of this population boom included high birth rates and improved healthcare, which lowered mortality rates. From 1951 to 1961, the population density increased by 21%, and by 1971 it had risen by another 25%. The 1981 census showed a 22% increase, reaching 216 people per square kilometer. In 1991, this figure crossed the 250 mark, showing a 24% rise from the previous decade. The population density surged again in 2001 and 2011, though at a slower rate compared to previous decades. This steady rise reflects India's rapid urbanization, changing family structures, and economic growth. However, regional variations in density highlight the uneven nature of this growth, with some urban centers experiencing extreme population pressures. By 2011, India’s challenges in managing this population boom became evident in its strain on resources, infrastructure, and urban planning efforts.

India IN: Population Density: Inhabitants per sq km data was reported at 476.650 Person in 2022. This records an increase from the previous number of 473.420 Person for 2021. India IN: Population Density: Inhabitants per sq km data is updated yearly, averaging 394.320 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 476.650 Person in 2022 and a record low of 292.770 Person in 1990. India IN: 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 India – Table IN.OECD.GGI: Social: Demography: Non OECD Member: Annual.

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

Dataset

This dataset was created by Aravind M

Released under CC0: Public Domain

Contents

The population density of the northern state of Uttar Pradesh in India recorded *** people for every square kilometer in 2011, the latest available census. This was a doubling compared to the value in 1981.

According to the 2011 census, the population density in the Indian state of Maharashtra was *** individuals per square kilometer. Located on the Deccan Plateau, it is the second-most populous state in the country. A steady increase in the population of the state can be attributed to growing urban districts such as Mumbai and Pune, with diverse employment opportunities in several sectors.

India's economic powerhouse

With a contribution of over ** trillion Indian rupees in the financial year 2017, the state of Maharashtra had the highest gross state domestic product in the country. A per capita income of over *** thousand Indian rupees was estimated across the state for the preceding year. Based on its economic model, the state was a highly preferred destination for domestic and foreign investments.

The most populous Indian state

Mumbai, the capital city of Maharashtra, was the most populous city after Delhi. As the country's economic core, it serves as the financial and commercial capital while providing numerous job opportunities. Many are attracted to this dream city in search of a lucrative career and to make it big in the world-famous Bollywood film industry.

The dataset contains Year and State wise Density of Population

Note: 1. The 1981 Census could not be held in Assam. Total Population for 1981 has been worked out by Interpolation. 2. Includes estimated population of Paomata, Mao Maram and Purul sub-divisions of Senapati District of Manipur for 2001. 3. For working out the density of India and Jammu & Kashmir for 1991,2001, the entire area and population of those portions of Jammu & Kashmir which are under illegal occupation of Pakistan and China have not been taken into account.

India is the second most populated country in the world with a sixth of the world's population. According to the 2022 revision of the World Population Prospects the population stood at 1,402,807,867.

Between 1975 and 2010, the population doubled to 1.2 billion, reaching the billion mark in 1998. India is projected to surpass China to become the world's most populous country by 2023. It is expected to become the first country to be home to more than 1.5 billion people by 2030, and its population is set to reach 1.7 billion by 2050. Its population growth rate is 0.98%, down from 2.3% from 1972 to 1983, ranking 112th in the world in 2017.

India has more than 50% of its population below the age of 25 and more than 65% below the age of 35. In 2022, the average age of an Indian is 28.7 years, compared to 38.4 for China and 48.6 for Japan; and, by 2030, India's dependency ratio will be just over 0.4. However, the number of children in India peaked more than a decade ago and is now falling. The number of children under the age of five peaked in 2007, and since then the number has been falling. The number of Indians under 15 years old peaked slightly later (in 2011) and is now also declining. India has more than two thousand ethnic groups, and every major religion is represented, as are four major families of languages (Indo-European, Dravidian, Austroasiatic and Sino-Tibetan languages) as well as two language isolates: the Nihali language, spoken in parts of Maharashtra, and the Burushaski language, spoken in parts of Jammu and Kashmir. 1,000,000 people in India are Anglo-Indians and 700,000 United States citizens are living in India. They represent over 0.1% of the total population of India. Overall, only the continent of Africa exceeds the linguistic, genetic and cultural diversity of the nation of India.

The sex ratio was 944 females for 1000 males in 2016, and 940 per 1000 in 2011. This ratio has been showing an upward trend for the last two decades after a continuous decline in the last century.

• The current population of India contributes to 17% of the global population. Also, all these people are unevenly distributed across 3.28 million square kilometers of our geographical area.Population growth is determined by the annual growth rate, which is calculated in percent per annum. Like, if there is an increase of two people per 100 people of the population, then the annual growth rate would be 2%.

Population Density of India

Population Density of a place is defined as the number of people living in that particular place divided by the geographical area. In other words, it's the number of people living per unit area. It depends on several factors. The most prominent characteristic is the geographic location. People generally avoid hilly terrains due to harsh climatic conditions and their inability to sustain agriculture. Hence states like Himachal Pradesh and Assam are sparsely populated. On the other hand, river valleys, coastal areas, and the Northern plains are highly fertile and densely populated regions. - This dataset will help to show population density and its rank through several years

Population Growth The annual Growth rate is defined as the increase in people per every hundred people per year. For example, if a city's population is 100 and 5 more people are added in a year, taking the population to 105, the Annual Growth rate would be 5%. The population of an area is not always destined to increase, and it may decrease as well. The population change, which includes increase and decreases, can be due to various factors like Birth, Death, and Migration.

According to the latest Indian census in 2011, every square kilometer in the southern state of Karnataka was inhabited by *** people, up from *** in 1951. The highest population density in the state was in Bangalore.

The southern state of Tamil Nadu in India recorded a population density of *** people for every square kilometer according to the country's latest census in 2011. This was a significant increase compared to a decade earlier where the figure stood at ***.

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

The Dataset consist of distribution of population across different states. The dataset also gives information regarding the area of the state, urban-rural distribution of population, population density, sex ratio and literacy rates in different states with reference from 2011 census. The dataset helps in analysis of population distribution of India.

Note: *Disputed area of 13 km^2 between Puducherry and Andhra Pradesh is included in neither. *The shortfall of 7 km^2 area of Madhya Pradesh and 3 km^2 area of Chhattisgarh is yet to be resolved by the Survey of India. *Area figures do not include the areas claimed by India that are in Pakistani or Chinese administrative control. This includes 78,114 km^2 of area in Azad Kashmir and Gilgit-Baltistan under Pakistani administration, 5,180 km^2 of area in Shaksgam Valley ceded to China by Pakistan and 37,555 km^2 of area in Aksai Chin under Chinese administration totaling to 120,849 km^2.

This dataset contains estimates of the number of persons per square kilometer consistent with national censuses and population registers. There is one image for each modeled year. General Documentation The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1 km) grid cells. Population is distributed to cells using proportional allocation of population from census and administrative units. Population input data are collected at the most detailed spatial resolution available from the results of the 2010 round of censuses, which occurred between 2005 and 2014. The input data are extrapolated to produce population estimates for each modeled year.