Population6,540District - Upper Siang
Males3,364
Females3,176
Literate4,477
Workers2,731
Population Overview
Total population6,540
Males3,364
Females3,176
Children (0–6 years)
Children 0–6885
Boys 0–6459
Girls 0–6426
Child %13.5%
Literacy
Literate4,477
Literate males2,443
Literate females2,034
Literacy %68.5%
Illiterate2,063
Illiterate males921
Illiterate females1,142
Workers — Total
Total workers2,731
Worker males1,693
Worker females1,038
Work participation %41.8%
Non-workers3,809
Non-worker males1,671
Non-worker females2,138
Workers — Main
Main workers2,144
Main males1,438
Main females706
Cultivators121
Cultivator males55
Cultivator females66
Agri labourers111
Agri labourer males56
Agri labourer females55
Household industry44
HH industry males34
HH industry females10
Other workers1,868
Other males1,293
Other females575
Workers — Marginal
Marginal workers587
Marginal males255
Marginal females332
Marg. cultivators97
Marg. agri labourers142
Marg. HH industry32
Marg. other316
Workers — Marginal (detail)
Marg. cultivator males45
Marg. cultivator females52
Marg. agri lab. males63
Marg. agri lab. females79
Marg. HH industry males18
Marg. HH industry females14
Marg. other males129
Marg. other females187
Marginal Workers — 3 to 6 months
3–6 mo workers442
3–6 mo males195
3–6 mo females247
3–6 mo cultivators64
3–6 mo cult. males31
3–6 mo cult. females33
3–6 mo agri lab.96
3–6 mo agri lab. males38
3–6 mo agri lab. females58
3–6 mo HH industry26
3–6 mo HH ind. males17
3–6 mo HH ind. females9
3–6 mo other256
3–6 mo other males109
3–6 mo other females147
Marginal Workers — 0 to 3 months
0–3 mo workers145
0–3 mo males60
0–3 mo females85
0–3 mo cultivators33
0–3 mo cult. males14
0–3 mo cult. females19
0–3 mo agri lab.46
0–3 mo agri lab. males25
0–3 mo agri lab. females21
0–3 mo HH industry6
0–3 mo HH ind. males1
0–3 mo HH ind. females5
0–3 mo other60
0–3 mo other males20
0–3 mo other females40
Top sub-districts by population
sub-districts comparison
11 sub-districts
sub-districts-wise data
| # | Sub-district | Population | Males | Females | Literate | Workers |
|---|---|---|---|---|---|---|
| 1 | Yingkiong | 8,573 | 4,381 | 4,192 | 5,424 | 3,787 |
| 2 | Mariyang | 6,260 | 3,252 | 3,008 | 3,145 | 3,131 |
| 3 | Tuting | 5,207 | 3,156 | 2,051 | 3,002 | 2,918 |
| 4 | Geku | 4,445 | 2,220 | 2,225 | 2,001 | 2,094 |
| 5 | Jengging | 3,293 | 1,821 | 1,472 | 1,778 | 1,888 |
| 6 | Katan | 2,944 | 1,531 | 1,413 | 1,210 | 1,387 |
| 7 | Mopom ( Adipasi ) | 1,360 | 703 | 657 | 405 | 954 |
| 8 | Singa | 988 | 497 | 491 | 427 | 466 |
| 9 | Migging | 857 | 441 | 416 | 359 | 263 |
| 10 | Gelling | 780 | 391 | 389 | 288 | 410 |
| 11 | Palling | 613 | 306 | 307 | 156 | 346 |