Population35,320Upper Siang
Males18,699
Females16,621
Literate18,195
Population Overview
Total population35,320
Males18,699
Females16,621
Sex ratio889per 1,000 males
Households7,324
Literacy
Literate18,195
Literate males10,723
Literate females7,472
Literacy %51.5%
Illiterate17,125
Illiterate males7,976
Illiterate females9,149
Children (0–6 years)
Children 0–64,988
Boys 0–62,563
Girls 0–62,425
Child %14.1%
SC / ST
ST population28,468
ST males14,413
ST females14,055
ST %80.6%
Workers — Total
Total workers17,644
Worker males9,968
Worker females7,676
Work participation %50%
Non-workers17,676
Non-worker males8,731
Non-worker females8,945
Workers — Main
Main workers14,524
Main males8,521
Main females6,003
Cultivators8,190
Cultivator males3,948
Cultivator females4,242
Agri labourers611
Agri labourer males340
Agri labourer females271
Household industry354
HH industry males225
HH industry females129
Other workers5,369
Other males4,008
Other females1,361
Workers — Marginal
Marginal workers3,120
Marginal males1,447
Marginal females1,673
Marg. cultivators1,786
Marg. agri labourers193
Marg. HH industry237
Marg. other904
Workers — Marginal (detail)
Marg. cultivator males876
Marg. cultivator females910
Marg. agri lab. males94
Marg. agri lab. females99
Marg. HH industry males55
Marg. HH industry females182
Marg. other males422
Marg. other females482
Marginal Workers — 3 to 6 months
3–6 mo workers2,351
3–6 mo males1,073
3–6 mo females1,278
3–6 mo cultivators1,333
3–6 mo cult. males656
3–6 mo cult. females677
3–6 mo agri lab.134
3–6 mo agri lab. males61
3–6 mo agri lab. females73
3–6 mo HH industry193
3–6 mo HH ind. males38
3–6 mo HH ind. females155
3–6 mo other691
3–6 mo other males318
3–6 mo other females373
Marginal Workers — 0 to 3 months
0–3 mo workers769
0–3 mo males374
0–3 mo females395
0–3 mo cultivators453
0–3 mo cult. males220
0–3 mo cult. females233
0–3 mo agri lab.59
0–3 mo agri lab. males33
0–3 mo agri lab. females26
0–3 mo HH industry44
0–3 mo HH ind. males17
0–3 mo HH ind. females27
0–3 mo other213
0–3 mo other males104
0–3 mo other females109
Top sub-districts by population
sub-districts comparison
11 sub-districts
sub-districts-wise data
| # | Sub-district | Population | Males | Females | Literate |
|---|---|---|---|---|---|
| 1 | Yingkiong | 8,573 | 4,381 | 4,192 | 5,424 |
| 2 | Mariyang | 6,260 | 3,252 | 3,008 | 3,145 |
| 3 | Tuting | 5,207 | 3,156 | 2,051 | 3,002 |
| 4 | Geku | 4,445 | 2,220 | 2,225 | 2,001 |
| 5 | Jengging | 3,293 | 1,821 | 1,472 | 1,778 |
| 6 | Katan | 2,944 | 1,531 | 1,413 | 1,210 |
| 7 | Mopom ( Adipasi ) | 1,360 | 703 | 657 | 405 |
| 8 | Singa | 988 | 497 | 491 | 427 |
| 9 | Migging | 857 | 441 | 416 | 359 |
| 10 | Gelling | 780 | 391 | 389 | 288 |
| 11 | Palling | 613 | 306 | 307 | 156 |