Nepal Multiple Indicator Cluster Survey 2019

Nepal, 2019
Women, Children, Health and Nutrition

Central Bureau of Statistics

CSV JSON

District prior to moving to current place (WB17)

Data file: wm

Overview

Valid: 3011

Invalid: 12008

Minimum: 101

Maximum: 999

Type: Discrete

Decimal: 0

Width: 3

Range: 101 - 999

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
101	TAPLEJUNG	35	1.2%
102	SANKHUWASABHA	20	0.7%
103	SOLUKHUMBU	26	0.9%
104	OKHALDHUNGA	28	0.9%
105	KHOTANG	35	1.2%
106	BHOJPUR	35	1.2%
107	DHANKUTA	36	1.2%
108	TERHATHUM	31	1%
109	PANCHTHAR	43	1.4%
110	ILAM	38	1.3%
111	JHAPA	76	2.5%
112	MORANG	71	2.4%
113	SUNSARI	65	2.2%
114	UDAYAPUR	26	0.9%
201	SAPTARI	34	1.1%
202	SIRAHA	42	1.4%
203	DHANUSA	52	1.7%
204	MAHOTTARI	51	1.7%
205	SARLAHI	56	1.9%
206	RAUTAHAT	49	1.6%
207	BARA	61	2%
208	PARSA	56	1.9%
301	DOLAKHA	31	1%
302	SINDHUPALCHOK	60	2%
303	RASUWA	12	0.4%
304	DHADING	63	2.1%
305	NUWAKOT	64	2.1%
306	KATHMANDU	153	5.1%
307	BHAKTAPUR	31	1%
308	LALITPUR	32	1.1%
309	KAVREPALANCHOK	67	2.2%
310	RAMECHHAP	45	1.5%
311	SINDHULI	42	1.4%
312	MAKWANPUR	49	1.6%
313	CHITAWAN	57	1.9%
401	GORKHA	45	1.5%
402	MANANG	2	0.1%
403	MUSTANG	2	0.1%
404	MYAGDI	27	0.9%
405	KASKI	54	1.8%
406	LAMJUNG	25	0.8%
407	TANAHU	65	2.2%
408	NAWALPARASI_EAST	23	0.8%
409	SYANGJA	77	2.6%
410	PARBAT	64	2.1%
411	BAGLUNG	55	1.8%
501	RUKUM_EAST	15	0.5%
502	ROLPA	27	0.9%
503	PYUTHAN	27	0.9%
504	GULMI	46	1.5%
505	ARGHAKHANCHI	26	0.9%
506	PALPA	67	2.2%
507	NAWALPARASI_WEST	14	0.5%
508	RUPANDEHI	41	1.4%
509	KAPILBASTU	12	0.4%
510	DANG	40	1.3%
511	BANKE	27	0.9%
512	BARDIYA	33	1.1%
601	DOLPA	10	0.3%
602	MUGU	5	0.2%
603	HUMLA	1	0%
604	JUMLA	10	0.3%
605	KALIKOT	28	0.9%
606	DAILEKH	32	1.1%
607	JAJARKOT	18	0.6%
608	RUKUM_WEST	9	0.3%
609	SALYAN	24	0.8%
610	SURKHET	34	1.1%
701	BAJURA	26	0.9%
702	BAJHANG	14	0.5%
703	DARCHULA	18	0.6%
704	BAITADI	51	1.7%
705	DADELDHURA	28	0.9%
706	DOTI	50	1.7%
707	ACHHAM	56	1.9%
708	KAILALI	64	2.1%
709	KANCHANPUR	42	1.4%
999	NO RESPONSE	5	0.2%
Sysmiss		12008

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.