Nepal Multiple Indicator Cluster Survey 2024-25, Fourth round

Nepal, 2024 - 2025
Household Surveys

Women, Children, Health and Nutrition

National Statistics Office (NSO)

Data files
bh
wm
hl
mn
hh
fs
ch

CSV JSON

District (HH7A)

Data file: bh

Overview

Valid: 23924

Invalid: 0

Minimum: 1

Maximum: 77

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 77

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	TAPLEJUNG	83	0.3%
2	SANKHUWASABHA	76	0.3%
3	SOLUKHUMBU	71	0.3%
4	OKHALDHUNGA	103	0.4%
5	KHOTANG	142	0.6%
6	BHOJPUR	108	0.5%
7	DHANKUTA	82	0.3%
8	TERHATHUM	73	0.3%
9	PANCHTHAR	97	0.4%
10	ILAM	126	0.5%
11	JHAPA	593	2.5%
12	MORANG	666	2.8%
13	SUNSARI	630	2.6%
14	UDAYAPUR	219	0.9%
15	SAPTARI	550	2.3%
16	SIRAHA	513	2.1%
17	DHANUSA	594	2.5%
18	MAHOTTARI	525	2.2%
19	SARLAHI	690	2.9%
20	RAUTAHAT	539	2.3%
21	BARA	718	3%
22	PARSA	507	2.1%
23	DOLAKHA	169	0.7%
24	SINDHUPALCHOK	284	1.2%
25	RASUWA	35	0.1%
26	DHADING	340	1.4%
27	NUWAKOT	233	1%
28	KATHMANDU	864	3.6%
29	BHAKTAPUR	182	0.8%
30	LALITPUR	271	1.1%
31	KAVREPALANCHOK	325	1.4%
32	RAMECHHAP	177	0.7%
33	SINDHULI	256	1.1%
34	MAKWANPUR	375	1.6%
35	CHITAWAN	630	2.6%
36	GORKHA	255	1.1%
37	MANANG	0	0%
38	MUSTANG	22	0.1%
39	MYAGDI	102	0.4%
40	KASKI	497	2.1%
41	LAMJUNG	104	0.4%
42	TANAHU	340	1.4%
43	NAWALPARASI (BARDAGHAT SUSTA EAST)	386	1.6%
44	SYANGJA	268	1.1%
45	PARBAT	160	0.7%
46	BAGLUNG	287	1.2%
47	RUKUM (EAST)	38	0.2%
48	ROLPA	156	0.7%
49	PYUTHAN	228	1%
50	GULMI	220	0.9%
51	ARGHAKHANCHI	148	0.6%
52	PALPA	144	0.6%
53	NAWALPARASI (BARDAGHAT SUSTA WEST)	294	1.2%
54	RUPANDEHI	751	3.1%
55	KAPILBASTU	541	2.3%
56	DANG	461	1.9%
57	BANKE	450	1.9%
58	BARDIYA	276	1.2%
59	DOLPA	67	0.3%
60	MUGU	74	0.3%
61	HUMLA	125	0.5%
62	JUMLA	187	0.8%
63	KALIKOT	284	1.2%
64	DAILEKH	432	1.8%
65	JAJARKOT	306	1.3%
66	RUKUM (WEST)	323	1.4%
67	SALYAN	393	1.6%
68	SURKHET	694	2.9%
69	BAJURA	100	0.4%
70	BAJHANG	210	0.9%
71	DARCHULA	224	0.9%
72	BAITADI	247	1%
73	DADELDHURA	197	0.8%
74	DOTI	229	1%
75	ACHHAM	249	1%
76	KAILALI	1011	4.2%
77	KANCHANPUR	598	2.5%

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.