Piyong

Piyong is a Town and Circle in Lohit District of Arunachal Pradesh. In India, a circle is a sub-division of a district that is responsible for the administration and revenue collection of a particular area within the district. It is an important part of the local governance structure, and plays a crucial role in the development and administration of its local community.

According to census 2011 information the sub-district code of Piyong Block (CD) is 01734. Total area of piyong circle is 229 km². Piyong circle has a population of 10,481 peoples. Piyong circle has a population density of 45.81 inhabitants per square kilometre. There are about 2,153 houses in the sub-district. When it comes to literacy, 39.37% population of piyong circle is literate, out of which 45.19% males and 33.08% females are literate.

List of Villages in Piyong Circle

Piyong Circle has a total of 27 villages, each with its own identity, gram panchayat, and local lifestyle. These villages form the real backbone of the region, where everyday life is rooted in agriculture, tradition, and community ties. The list below shows all villages in Piyong Circle, along with their respective gram panchayat and nearest town.

Population of Piyong Circle

The population profile of Piyong Circle offers a deeper understanding of how people are settled across its rural and urban parts. The following sections provide key insights into total population, household distribution, literacy, and age demographics — data that plays a vital role in planning development work and allocating public resources effectively.

Basic Population Details

This section offers a snapshot of Piyong's population composition, including male-female ratio, child population, and how literacy levels vary between villages and towns.

Social Structure and Density

This section gives a clear view of the social makeup of Piyong Circle , highlighting how Scheduled Castes (SC) and Scheduled Tribes (ST) are spread across both rural and urban areas. It also includes population density data, which helps us understand how closely people live together in different parts of the tehsil.