Kuntloor (og) Ward No 177 (rural Mdds Code:573961), with population of 7041 is Greater Hyderabad city's the 2nd most populous ward, located in Hayathnagar sub district of Rangareddy district in the state Telangana in India.

Demographics

The ward is home to 7041 people, among them 3569 (51%) are male and 3472 (49%) are female. 81% of the whole population are from general caste, 17% are from schedule caste and 1% are schedule tribes. Child (aged under 6 years) population of Kuntloor (og) Ward No 177 (rural Mdds Code:573961) is 12%, among them 50% are boys and 50% are girls. There are 1734 households in the ward and an average 4 persons live in every family.

Caste wise male female population 2011 - Kuntloor (og) Ward No 177 (rural Mdds Code:573961)

Total General Schedule Caste Schedule Tribe Child
Total 7,041 5,729 1,214 98 828
Male 3,569 2,903 622 44 414
Female 3,472 2,826 592 54 414

Sex Ratio - Females per 1000 Male

As of 2011 census there are 973 females per 1000 male in the ward. Sex ratio in general caste is 973, in schedule caste is 952 and in schedule tribe is 1227. There are 1000 girls under 6 years of age per 1000 boys of the same age in the ward.

Literacy

Total 4363 people in the ward are literate, among them 2433 are male and 1930 are female. Literacy rate (children under 6 are excluded) of Kuntloor (OG) WARD NO.-0177 (Rural MDDS CODE:573961) is 70%. 77% of male and 63% of female population are literate here.

Workers profile

Kuntloor (OG) WARD NO.-0177 (Rural MDDS CODE:573961) has 42% (2960) population engaged in either main or marginal works. 56% male and 27% female population are working population. 50% of total male population are main (full time) workers and 6% are marginal (part time) workers. For women 19% of total female population are main and 8% are marginal workers.

Percentage of working population - Kuntloor (og) Ward No 177 (rural Mdds Code:573961)

Worker (Among total population) Main Worker (Among workers) Marginal Worker (Among workers) Non Worker (Among total population)
Total 42% 34.8% 7.3% 58%
Male 56.2% 49.9% 6.3% 43.8%
Female 27.5% 19.2% 8.3% 72.5%