Motor Vehicle and Motorcycle Repair and Maintenance Workshop Survey 2015

Nepal, 2016

Central Bureau of Statistics,

CSV JSON

District (Q121_DISTRICT)

Data file: weight

Overview

Valid: 1230

Invalid: 0

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 75

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	1	0.1%
2	Panchthar	6	0.5%
3	Ilam	10	0.8%
4	Jhapa	62	5%
5	Morang	41	3.3%
6	Sunsari	65	5.3%
7	Dhankuta	2	0.2%
8	Terhathum	4	0.3%
9	Sankhuwasabha	8	0.7%
10	Bhojpur	1	0.1%
11	Solukhumbu	2	0.2%
12	Okhaldhunga	4	0.3%
13	Khotang	2	0.2%
14	Udayapur	23	1.9%
15	Saptari	20	1.6%
16	Siraha	17	1.4%
17	Dhanusa	24	2%
18	Mahottari	18	1.5%
19	Sarlahi	28	2.3%
20	Sindhuli	4	0.3%
21	Ramechhap	1	0.1%
22	Dolakha	1	0.1%
23	Sindhupalchok	5	0.4%
24	Kavrepalanchok	21	1.7%
25	Lalitpur	11	0.9%
26	Bhaktapur	28	2.3%
27	Kathmandu	76	6.2%
28	Nuwakot	10	0.8%
29	Rasuwa	1	0.1%
30	Dhading	11	0.9%
31	Makwanpur	35	2.8%
32	Rautahat	9	0.7%
33	Bara	16	1.3%
34	Parsa	34	2.8%
35	Chitawan	70	5.7%
36	Gorkha	11	0.9%
37	Lamjung	9	0.7%
38	Tanahu	34	2.8%
39	Syangja	19	1.5%
40	Kaski	96	7.8%
41	Manang	0	0%
42	Mustang	3	0.2%
43	Myagdi	3	0.2%
44	Parbat	9	0.7%
45	Baglung	15	1.2%
46	Gulmi	9	0.7%
47	Palpa	11	0.9%
48	Nawalparasi	31	2.5%
49	Rupandehi	46	3.7%
50	Kapilbastu	11	0.9%
51	Arghakhanchi	4	0.3%
52	Pyuthan	2	0.2%
53	Rolpa	1	0.1%
54	Rukum	7	0.6%
55	Salyan	6	0.5%
56	Dang	44	3.6%
57	Banke	65	5.3%
58	Bardiya	8	0.7%
59	Surkhet	17	1.4%
60	Dailekh	2	0.2%
61	Jajarkot	0	0%
62	Dolpa	0	0%
63	Jumla	0	0%
64	Kalikot	1	0.1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	0	0%
68	Bajhang	0	0%
69	Achham	2	0.2%
70	Doti	3	0.2%
71	Kailali	55	4.5%
72	Kanchanpur	26	2.1%
73	Dadeldhura	6	0.5%
74	Baitadi	1	0.1%
75	Darchula	2	0.2%

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.