SC · #69 statewide rank · 32 districts

Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas caste data from the Telangana caste census

Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas accounts for 24,560 people and 7,389 households in the statewide caste release. It makes up 0.1% of the Telangana population, 0.4% of the SC total, and 0.4% of Scheduled Caste (SC) families. The largest district count is in GHMC.

Population24,560
Households7,389
State share0.1%
SC share0.4%

Quick context

Where this row sits

Social categorySC
FamilyScheduled Caste (SC) families
Statewide rank#69
Family rank#15
Category rank#15
Leading districtGHMC

How to read the percentages

Avoid mixing up the percentage labels

  • State share is Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas's share of the Telangana population.
  • SC share means this row's share inside the published SC group.
  • Scheduled Caste (SC) families share groups all named SC communities into one family total.
  • In the district table, share of statewide caste shows how much each district contributes to Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas's statewide total.

District concentration

Top districts for Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas

  1. GHMC
    30.2% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    7,424
  2. Sangareddy
    8.3% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    2,051
  3. Nizamabad
    7.3% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    1,782
  4. Kamareddy
    6.4% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    1,572
  5. Medchal Malkajgiri
    4.4% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    1,081
  6. Jagitial
    4.3% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    1,053
  7. Adilabad
    4.3% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    1,049
  8. Nirmal
    3.9% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    956
  9. Narayanpet
    3.8% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    939
  10. Rangareddy
    3.6% of the statewide Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas total
    893

District breakdown

Full district table

District Population Households Within category % Share of statewide caste %
GHMC 7,424 2,256 1.1% 30.2%
Sangareddy 2,051 567 0.7% 8.3%
Nizamabad 1,782 567 0.8% 7.3%
Kamareddy 1,572 478 0.9% 6.4%
Medchal Malkajgiri 1,081 298 0.7% 4.4%
Jagitial 1,053 346 0.6% 4.3%
Adilabad 1,049 300 0.9% 4.3%
Nirmal 956 327 0.8% 3.9%
Narayanpet 939 258 0.7% 3.8%
Rangareddy 893 244 0.3% 3.6%
Siddipet 752 234 0.4% 3.1%
Vikarabad 655 186 0.3% 2.7%
Yadadri Bhuvanagiri 571 177 0.4% 2.3%
Mahabubnagar 462 124 0.3% 1.9%
Rajanna Sircilla 377 124 0.3% 1.5%
Nalgonda 368 118 0.1% 1.5%
Karimnagar 340 110 0.2% 1.4%
Medak 277 79 0.2% 1.1%
Bhadradri Kothagudem 222 64 0.1% 0.9%
Khammam 216 68 0.1% 0.9%
Wanaparthy 196 53 0.2% 0.8%
Mancherial 172 50 0.1% 0.7%
Warangal 146 47 0.1% 0.6%
Jangaon 136 45 0.1% 0.6%
Hanumakonda 135 48 0.1% 0.6%
Suryapet 134 51 0.1% 0.6%
Kumarambheem Asifabad 132 36 0.1% 0.5%
Mahabubabad 120 33 0.1% 0.5%
Peddapalli 112 35 0.1% 0.5%
Jogulamba Gadwal 97 28 0.1% 0.4%
Jayashankar Bhupalpally 11 4 0.0% 0.0%
Mulugu 2 1 0.0% 0.0%

Position inside the family

How Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas sits inside Scheduled Caste (SC) families

Rank Caste / community Population Family share
#13 Bindla 28,757 0.5%
#14 Gosangi 25,217 0.4%
#15 Chamar, Mochi, Muchi, Chamar- Ravidas, Chamar- Rohidas 24,560 0.4%
#16 Arwa Mala 24,364 0.4%
#17 Jambuvulu 19,526 0.3%

Relevant metric tables

Table pages for the related category or subgroup

Source note

Verify sensitive claims against the PDF before publishing

This page is built from the volume-4 caste-population release and district caste tables. Use the linked source PDF to confirm page context, footnotes, and wording before publishing sensitive demographic claims.