Population — Leh

Total population, gender split, growth, density and households

Population93,961Leh
Males56,597
Females37,364
Sex ratio660per 1,000 males
Literacy73.3%
Children 0–67,771
Households15,497

Population Overview

Total population93,961
Males56,597
Females37,364
Sex ratio660per 1,000 males
Households15,497

Children (0–6 years)

Children 0–67,771
Child %8.3%

SC / ST

Literacy

Literate68,845
Literacy %73.3%

Workers — Total

Total workers51,943
Worker males0
Worker females0
Work participation %55.3%

Workers — Main

Workers — Marginal

Workers — Marginal (detail)

Marginal Workers — 3 to 6 months

Marginal Workers — 0 to 3 months


Top villages / towns by population

villages / towns comparison


64 villages / towns

villages / towns-wise data

# Village / TownPopulationMalesFemalesSex ratioLiteracy %Workers %Households
1 Leh Ladakh (MC)30,87021,6699,20142585.3%63.3%4,377
2 Chuglamsar (CT)10,7546,5244,23064872.5%49.3%1,931
3 Chemrey6,2225,45077214289.2%86.6%353
4 Spituk (CT)4,0472,3671,68071070.2%45.8%696
5 Shey2,2381,0571,1811,11769.9%26%398
6 Thiksey2,2371,1111,1261,01467.8%44.4%433
7 Chuchat Yakma2,1621,0541,1081,05173.4%43.7%428
8 Fiang2,0361,06497291466.9%35%352
9 Anlay1,8798839961,12853.6%31.7%371
10 Chuchoot Gongma1,8368979391,04770.2%58%368
11 Sakti1,7188169021,10561.1%55.5%370
12 Chuchot Shama1,5677687991,04072.8%26.8%296
13 Stok1,4717067651,08466.2%40%300
14 Karzok1,29167361891839.8%63%253
15 Saboo1,2336096241,02575.1%56%259
16 Mathoo1,1655546111,10359.8%61.3%279
17 Nimo1,13456856699664.9%53.2%193
18 Igoo1,1035055981,18455.5%56.8%238
19 Likir1,05857348584665.7%28.3%218
20 Man Pangong9774595181,12961.6%68.6%171
21 Bazgoo9504365141,17962.9%28.3%172
22 Chushul94948946094153.6%58.6%148
23 Nyoma9184274911,15043.1%37.6%202
24 Shachokol88845143796960.9%55.1%147
25 Durbok8524164361,04860%58.9%160
26 Tagste68135632591361.8%58.7%126
27 Mood6753183571,12351.4%50.2%127
28 Gia6583013571,18650.9%55.5%140
29 Chumathang6412374041,70562.1%34.6%127
30 Rambir Por59430728793572.9%39.2%122
31 Kargyam5642792851,02250%52.1%106
32 Ney5602752851,03659.8%32.1%103
33 Koyul4932362571,08957.4%42.4%115
34 Taroo4422032391,17762.9%60.4%71
35 Matselang3811752061,17764.3%37.5%69
36 Kumgyam3741732011,16273.5%61%68
37 Samad Rakchan36118817392049.6%59.3%71
38 Stakna3551711841,07662.3%56.1%88
39 Nang3341561781,14152.4%28.4%74
40 Phey33118414779974.6%50.2%57
41 Skiumarkha3281621661,02554%57.6%43
42 Phuktse3161421741,22548.7%59.5%60
43 Hamis3132565722383.4%56.5%24
44 Sharnose2991421571,10656.2%51.8%61
45 Shara2901341561,16468.6%52.4%57
46 Kerey2901401501,07169.7%60%60
47 Tukla2661231431,16363.2%91%54
48 Himya2651321331,00866.4%69.8%52
49 Rumbak24812812093872.2%39.1%36
50 Changa2431191241,04258.8%42.8%58
51 Shang2301151151,00053%78.3%51
52 Chiling Sumda22312010385854.3%59.2%31
53 Teri202961061,10459.4%53%31
54 Kharnak194901041,15657.2%47.9%35
55 Skitmang189999090958.2%60.3%37
56 Meroo188791091,38047.9%42.6%34
57 Tarchit16783841,01255.7%55.1%32
58 Kharoo16777901,16960.5%53.3%42
59 Liktse15271811,14170.4%60.5%28
60 Upshi12864641,00066.4%54.7%26
61 Umla99534686859.6%54.5%21
62 Langokor87444397765.5%58.6%16
63 Demjok78433581439.7%65.4%31
64 Manser00000%0%0
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