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Multiple Indicator Cluster Survey 2019, Round 6

Nepal, 2019
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Reference ID
NPL_2019_MICS_v01_M
Producer(s)
Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Feb 08, 2022
Last modified
Feb 08, 2022
Page views
33233

District prior to moving to current place (WB17)

Data file: wm.sav

Overview

var_valid: 3011
var_invalid: 12008
var_minimum: 101
var_maximum: 999
Type: Continuous
Decimal: 0
Width: 6
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 TAPLEJUNG 35
0.2%
102 SANKHUWASABHA 20
0.1%
103 SOLUKHUMBU 26
0.2%
104 OKHALDHUNGA 28
0.2%
105 KHOTANG 35
0.2%
106 BHOJPUR 35
0.2%
107 DHANKUTA 36
0.2%
108 TERHATHUM 31
0.2%
109 PANCHTHAR 43
0.3%
110 ILAM 38
0.3%
111 JHAPA 76
0.5%
112 MORANG 71
0.5%
113 SUNSARI 65
0.4%
114 UDAYAPUR 26
0.2%
201 SAPTARI 34
0.2%
202 SIRAHA 42
0.3%
203 DHANUSA 52
0.3%
204 MAHOTTARI 51
0.3%
205 SARLAHI 56
0.4%
206 RAUTAHAT 49
0.3%
207 BARA 61
0.4%
208 PARSA 56
0.4%
301 DOLAKHA 31
0.2%
302 SINDHUPALCHOK 60
0.4%
303 RASUWA 12
0.1%
304 DHADING 63
0.4%
305 NUWAKOT 64
0.4%
306 KATHMANDU 153
1%
307 BHAKTAPUR 31
0.2%
308 LALITPUR 32
0.2%
309 KAVREPALANCHOK 67
0.4%
310 RAMECHHAP 45
0.3%
311 SINDHULI 42
0.3%
312 MAKWANPUR 49
0.3%
313 CHITAWAN 57
0.4%
401 GORKHA 45
0.3%
402 MANANG 2
0%
403 MUSTANG 2
0%
404 MYAGDI 27
0.2%
405 KASKI 54
0.4%
406 LAMJUNG 25
0.2%
407 TANAHU 65
0.4%
408 NAWALPARASI_EAST 23
0.2%
409 SYANGJA 77
0.5%
410 PARBAT 64
0.4%
411 BAGLUNG 55
0.4%
501 RUKUM_EAST 15
0.1%
502 ROLPA 27
0.2%
503 PYUTHAN 27
0.2%
504 GULMI 46
0.3%
505 ARGHAKHANCHI 26
0.2%
506 PALPA 67
0.4%
507 NAWALPARASI_WEST 14
0.1%
508 RUPANDEHI 41
0.3%
509 KAPILBASTU 12
0.1%
510 DANG 40
0.3%
511 BANKE 27
0.2%
512 BARDIYA 33
0.2%
601 DOLPA 10
0.1%
602 MUGU 5
0%
603 HUMLA 1
0%
604 JUMLA 10
0.1%
605 KALIKOT 28
0.2%
606 DAILEKH 32
0.2%
607 JAJARKOT 18
0.1%
608 RUKUM_WEST 9
0.1%
609 SALYAN 24
0.2%
610 SURKHET 34
0.2%
701 BAJURA 26
0.2%
702 BAJHANG 14
0.1%
703 DARCHULA 18
0.1%
704 BAITADI 51
0.3%
705 DADELDHURA 28
0.2%
706 DOTI 50
0.3%
707 ACHHAM 56
0.4%
708 KAILALI 64
0.4%
709 KANCHANPUR 42
0.3%
999 NO RESPONSE 5
0%
Sysmiss 12008
80%
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.
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