What areas of South Asia are sparsely populated?

The Himalayan region, the Thar Desert, and the islands of the Bay of Bengal are all areas of South Asia that are sparsely populated.

Which areas of South Asia are sparsely populated?

A.
coastal areas

B.
areas with an arid climate

C.
areas with heavy rainfall

D.
areas in the humid temperate climate region

B. areas with an arid climate, such as the Thar Desert in Rajasthan and parts of Balochistan in Pakistan, are typically sparsely populated in South Asia.

To determine the areas of South Asia that are sparsely populated, we can look at the population density of different regions. Population density is the number of people per unit area. Generally, sparsely populated areas have a lower population density compared to more densely populated areas. Here's how you can find this information:

1. Start by gathering data on the population of South Asian countries. This information is typically available from various sources such as national statistical agencies, World Bank, and United Nations databases.

2. Once you have the population figures for each country, you can calculate the population density. Divide the total population of a country by its land area in square kilometers. This will give you the population density in people per square kilometer.

3. Compare the population density figures of different countries within South Asia. Lower population density indicates sparser population.

4. Additionally, you can also look for more detailed data like population density at the state/region level within each country. This will help you identify specific areas within South Asian countries that are sparsely populated.

5. Consider other factors that contribute to sparsely populated areas, such as topography, climate, and economic development. These factors can impact human settlement patterns.

It's important to note that population densities can change over time due to factors like migration and urbanization. Therefore, it's always a good idea to gather the most up-to-date data available.