Munganoor (og) Ward No 174 (rural Mdds Code:574210), with population of 1899 is Greater Hyderabad city's the 4th least populous ward, located in Hayathnagar sub district of Rangareddy district in the state Telangana in India.

Demographics

The ward is home to 1899 people, among them 899 (47%) are male and 1000 (53%) are female. 75% of the whole population are from general caste, 20% are from schedule caste and 5% are schedule tribes. Child (aged under 6 years) population of Munganoor (og) Ward No 174 (rural Mdds Code:574210) is 12%, among them 47% are boys and 53% are girls. There are 440 households in the ward and an average 4 persons live in every family.

Caste wise male female population 2011 - Munganoor (og) Ward No 174 (rural Mdds Code:574210)

Total General Schedule Caste Schedule Tribe Child
Total 1,899 1,425 383 91 226
Male 899 669 186 44 106
Female 1,000 756 197 47 120

Sex Ratio - Females per 1000 Male

As of 2011 census there are 1112 females per 1000 male in the ward. Sex ratio in general caste is 1130, in schedule caste is 1059 and in schedule tribe is 1068. There are 1132 girls under 6 years of age per 1000 boys of the same age in the ward.

Literacy

Total 1191 people in the ward are literate, among them 654 are male and 537 are female. Literacy rate (children under 6 are excluded) of Munganoor (OG) WARD NO.-0174 (Rural MDDS CODE:574210) is 71%. 82% of male and 61% of female population are literate here.

Workers profile

Munganoor (OG) WARD NO.-0174 (Rural MDDS CODE:574210) has 37% (709) population engaged in either main or marginal works. 57% male and 20% female population are working population. 53% of total male population are main (full time) workers and 4% are marginal (part time) workers. For women 17% of total female population are main and 3% are marginal workers.

Percentage of working population - Munganoor (og) Ward No 174 (rural Mdds Code:574210)

Worker (Among total population) Main Worker (Among workers) Marginal Worker (Among workers) Non Worker (Among total population)
Total 37.3% 33.8% 3.6% 62.7%
Male 56.6% 52.5% 4.1% 43.4%
Female 20% 16.9% 3.1% 80%