Explanations:Population density is a critical demographic measure that helps understand the distribution of people across a given area. It is calculated by dividing the total population of a region by its total area, typically expressed as the number of people per square kilometer. This measure is particularly useful in understanding the spatial distribution of populations and can provide insights into the economic, social, and environmental conditions of a region.
In the context of Indian states, the 2011 census data provides a comprehensive overview of population density across various states. Among the northeastern states, Arunachal Pradesh stands out as having the lowest population density. This is primarily due to its vast land area and relatively small population. Arunachal Pradesh covers a large geographical area, which is characterized by rugged terrain, dense forests, and mountainous regions. These geographical features contribute to a sparse population distribution, resulting in a low population density.
Understanding the population density of different states is essential for various purposes, including urban planning, resource allocation, and policy-making. It helps in identifying regions that may require special attention in terms of infrastructure development, healthcare, and education. In the case of Arunachal Pradesh, the low population density indicates a need for tailored development strategies that take into account the unique geographical and socio-economic conditions of the state.
It is important to note that while Arunachal Pradesh has the lowest population density, other northeastern states like Sikkim, Mizoram, and Manipur also have relatively low population densities compared to the national average. However, these states have higher population densities than Arunachal Pradesh due to their smaller land areas and more concentrated populations. Therefore, when comparing the population densities of these states, Arunachal Pradesh emerges as the state with the lowest population density according to the 2011 census data.