Motor Vehicle and Motorcycle Repair and Maintenance Workshop Survey 2015

Nepal, 2016

Central Bureau of Statistics,

CSV JSON

District (Q121_DISTRICT)

Data file: Salary

Overview

Valid: 11079

Invalid: 0

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 75

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	9	0.1%
2	Panchthar	54	0.5%
3	Ilam	90	0.8%
4	Jhapa	558	5%
5	Morang	369	3.3%
6	Sunsari	585	5.3%
7	Dhankuta	18	0.2%
8	Terhathum	36	0.3%
9	Sankhuwasabha	72	0.6%
10	Bhojpur	9	0.1%
11	Solukhumbu	18	0.2%
12	Okhaldhunga	36	0.3%
13	Khotang	18	0.2%
14	Udayapur	207	1.9%
15	Saptari	180	1.6%
16	Siraha	153	1.4%
17	Dhanusa	216	1.9%
18	Mahottari	162	1.5%
19	Sarlahi	252	2.3%
20	Sindhuli	36	0.3%
21	Ramechhap	9	0.1%
22	Dolakha	9	0.1%
23	Sindhupalchok	45	0.4%
24	Kavrepalanchok	189	1.7%
25	Lalitpur	99	0.9%
26	Bhaktapur	252	2.3%
27	Kathmandu	684	6.2%
28	Nuwakot	90	0.8%
29	Rasuwa	9	0.1%
30	Dhading	99	0.9%
31	Makwanpur	315	2.8%
32	Rautahat	81	0.7%
33	Bara	144	1.3%
34	Parsa	306	2.8%
35	Chitawan	630	5.7%
36	Gorkha	99	0.9%
37	Lamjung	81	0.7%
38	Tanahu	306	2.8%
39	Syangja	171	1.5%
40	Kaski	864	7.8%
41	Manang	0	0%
42	Mustang	27	0.2%
43	Myagdi	27	0.2%
44	Parbat	81	0.7%
45	Baglung	135	1.2%
46	Gulmi	81	0.7%
47	Palpa	99	0.9%
48	Nawalparasi	279	2.5%
49	Rupandehi	423	3.8%
50	Kapilbastu	99	0.9%
51	Arghakhanchi	36	0.3%
52	Pyuthan	18	0.2%
53	Rolpa	9	0.1%
54	Rukum	63	0.6%
55	Salyan	54	0.5%
56	Dang	396	3.6%
57	Banke	585	5.3%
58	Bardiya	72	0.6%
59	Surkhet	153	1.4%
60	Dailekh	18	0.2%
61	Jajarkot	0	0%
62	Dolpa	0	0%
63	Jumla	0	0%
64	Kalikot	9	0.1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	0	0%
68	Bajhang	0	0%
69	Achham	18	0.2%
70	Doti	27	0.2%
71	Kailali	495	4.5%
72	Kanchanpur	234	2.1%
73	Dadeldhura	54	0.5%
74	Baitadi	9	0.1%
75	Darchula	18	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.