Nepal Multiple Indicator Cluster Survey 2019
Nepal, 2019
Central Bureau of Statistics
Created on January 30, 2022
Last modified January 30, 2022
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District prior to moving to current place (MWB17)
Data file: mn
Overview
Valid:
534
Invalid:
5071
Minimum:
101
Maximum:
709
Type:
Discrete
Decimal:
0
Width:
3
Range:
101 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | TAPLEJUNG | 9 |
1.7%
|
| 102 | SANKHUWASABHA | 1 |
0.2%
|
| 103 | SOLUKHUMBU | 4 |
0.7%
|
| 104 | OKHALDHUNGA | 14 |
2.6%
|
| 105 | KHOTANG | 7 |
1.3%
|
| 106 | BHOJPUR | 9 |
1.7%
|
| 107 | DHANKUTA | 7 |
1.3%
|
| 108 | TERHATHUM | 8 |
1.5%
|
| 109 | PANCHTHAR | 8 |
1.5%
|
| 110 | ILAM | 4 |
0.7%
|
| 111 | JHAPA | 4 |
0.7%
|
| 112 | MORANG | 8 |
1.5%
|
| 113 | SUNSARI | 7 |
1.3%
|
| 114 | UDAYAPUR | 11 |
2.1%
|
| 201 | SAPTARI | 8 |
1.5%
|
| 202 | SIRAHA | 7 |
1.3%
|
| 203 | DHANUSA | 6 |
1.1%
|
| 204 | MAHOTTARI | 2 |
0.4%
|
| 205 | SARLAHI | 16 |
3%
|
| 206 | RAUTAHAT | 4 |
0.7%
|
| 207 | BARA | 11 |
2.1%
|
| 208 | PARSA | 20 |
3.7%
|
| 301 | DOLAKHA | 4 |
0.7%
|
| 302 | SINDHUPALCHOK | 10 |
1.9%
|
| 303 | RASUWA | 1 |
0.2%
|
| 304 | DHADING | 17 |
3.2%
|
| 305 | NUWAKOT | 17 |
3.2%
|
| 306 | KATHMANDU | 36 |
6.7%
|
| 307 | BHAKTAPUR | 2 |
0.4%
|
| 308 | LALITPUR | 3 |
0.6%
|
| 309 | KAVREPALANCHOK | 14 |
2.6%
|
| 310 | RAMECHHAP | 6 |
1.1%
|
| 311 | SINDHULI | 13 |
2.4%
|
| 312 | MAKWANPUR | 5 |
0.9%
|
| 313 | CHITAWAN | 7 |
1.3%
|
| 401 | GORKHA | 12 |
2.2%
|
| 402 | MANANG | 0 |
0%
|
| 403 | MUSTANG | 0 |
0%
|
| 404 | MYAGDI | 6 |
1.1%
|
| 405 | KASKI | 4 |
0.7%
|
| 406 | LAMJUNG | 5 |
0.9%
|
| 407 | TANAHU | 10 |
1.9%
|
| 408 | NAWALPARASI_EAST | 5 |
0.9%
|
| 409 | SYANGJA | 17 |
3.2%
|
| 410 | PARBAT | 6 |
1.1%
|
| 411 | BAGLUNG | 17 |
3.2%
|
| 501 | RUKUM_EAST | 1 |
0.2%
|
| 502 | ROLPA | 3 |
0.6%
|
| 503 | PYUTHAN | 3 |
0.6%
|
| 504 | GULMI | 10 |
1.9%
|
| 505 | ARGHAKHANCHI | 6 |
1.1%
|
| 506 | PALPA | 17 |
3.2%
|
| 507 | NAWALPARASI_WEST | 1 |
0.2%
|
| 508 | RUPANDEHI | 13 |
2.4%
|
| 509 | KAPILBASTU | 7 |
1.3%
|
| 510 | DANG | 5 |
0.9%
|
| 511 | BANKE | 1 |
0.2%
|
| 512 | BARDIYA | 2 |
0.4%
|
| 601 | DOLPA | 0 |
0%
|
| 602 | MUGU | 0 |
0%
|
| 603 | HUMLA | 0 |
0%
|
| 604 | JUMLA | 2 |
0.4%
|
| 605 | KALIKOT | 4 |
0.7%
|
| 606 | DAILEKH | 9 |
1.7%
|
| 607 | JAJARKOT | 0 |
0%
|
| 608 | RUKUM_WEST | 1 |
0.2%
|
| 609 | SALYAN | 3 |
0.6%
|
| 610 | SURKHET | 2 |
0.4%
|
| 701 | BAJURA | 2 |
0.4%
|
| 702 | BAJHANG | 3 |
0.6%
|
| 703 | DARCHULA | 7 |
1.3%
|
| 704 | BAITADI | 13 |
2.4%
|
| 705 | DADELDHURA | 2 |
0.4%
|
| 706 | DOTI | 6 |
1.1%
|
| 707 | ACHHAM | 10 |
1.9%
|
| 708 | KAILALI | 6 |
1.1%
|
| 709 | KANCHANPUR | 3 |
0.6%
|
| 999 | NO RESPONSE | 0 |
0%
|
| Sysmiss | 5071 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.