Statistical User Satisfaction Survey 2017

Nepal, 2017
Other Ad-hoc Survey

Central Bureau of Statistics

CSV JSON

Address{district} of Respondent (q116a)

Data file: SUSS2017

Overview

Valid: 1020

Invalid: 0

Minimum: 1

Maximum: 99

Type: Continuous

Decimal: 0

Width: 2

Range: 1 - 99

Format: Numeric

Questions and instructions

Literal question

Q1.1.6_a what is the district of respondent?

Categories

Value	Category	Cases
1	Taplegunj	1	0.1%
2	Panchthar	22	2.2%
3	Illam	19	1.9%
4	Jhapa	28	2.7%
5	Morang	27	2.6%
6	Sunsari	31	3%
7	Dhankuta	1	0.1%
8	Tehrathum	2	0.2%
9	Sankhuwasabha	1	0.1%
10	Bhojpur	0	0%
11	Solukhumbu	1	0.1%
12	Okhaldhunga	14	1.4%
13	Khotang	0	0%
14	Udayapur	12	1.2%
15	Saptari	16	1.6%
16	Siraha	15	1.5%
17	Dhanusha	27	2.6%
18	Mahottari	2	0.2%
19	Sarlahi	2	0.2%
20	Sindhuli	11	1.1%
21	Ramechhap	2	0.2%
22	Dolakha	0	0%
23	Sindhupalchowk	12	1.2%
24	Kavrepalanchowk	27	2.6%
25	Lalitpur	35	3.4%
26	Bhaktapur	49	4.8%
27	Kathmandu	110	10.8%
28	Nuwakot	8	0.8%
29	Rasuwa	0	0%
30	Dhading	11	1.1%
31	Makawanpur	29	2.8%
32	Rautahat	14	1.4%
33	Bara	4	0.4%
34	Parsa	24	2.4%
35	Chitwan	43	4.2%
36	Gorkha	11	1.1%
37	Lamgunj	1	0.1%
38	Tanahun	16	1.6%
39	Syangja	18	1.8%
40	Kaski	25	2.5%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	2	0.2%
44	Parbat	1	0.1%
45	Baglung	21	2.1%
46	Gulmi	8	0.8%
47	Palpa	15	1.5%
48	Nawalparasi	9	0.9%
49	Rupandehi	10	1%
50	Kapilbastu	10	1%
51	Arghakhanchi	16	1.6%
52	Pyuthan	17	1.7%
53	Rolpa	0	0%
54	Rukum	13	1.3%
55	Salyan	7	0.7%
56	Dang	37	3.6%
57	Banke	24	2.4%
58	Bardiya	19	1.9%
59	Surkhet	25	2.5%
60	Dailekh	15	1.5%
61	Jajarkot	0	0%
62	Dolpa	0	0%
63	Jumla	20	2%
64	Kalikot	0	0%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	5	0.5%
68	Bajhang	0	0%
69	Aacham	0	0%
70	Doti	12	1.2%
71	Kailali	22	2.2%
72	Kanchanpur	22	2.2%
73	Dadeldhura	11	1.1%
74	Baitadi	0	0%
75	Darchula	2	0.2%
99	Foreign	6	0.6%

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.