Motor Vehicle and Motorcycle Repair and Maintenance Workshop Survey 2015

Nepal, 2016

Central Bureau of Statistics,

CSV JSON

District (Q121_DISTRICT)

Data file: No.of employee

Overview

Valid: 3693

Invalid: 0

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 75

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	3	0.1%
2	Panchthar	18	0.5%
3	Ilam	30	0.8%
4	Jhapa	186	5%
5	Morang	123	3.3%
6	Sunsari	195	5.3%
7	Dhankuta	6	0.2%
8	Terhathum	12	0.3%
9	Sankhuwasabha	24	0.6%
10	Bhojpur	3	0.1%
11	Solukhumbu	6	0.2%
12	Okhaldhunga	12	0.3%
13	Khotang	6	0.2%
14	Udayapur	69	1.9%
15	Saptari	60	1.6%
16	Siraha	51	1.4%
17	Dhanusa	72	1.9%
18	Mahottari	54	1.5%
19	Sarlahi	84	2.3%
20	Sindhuli	12	0.3%
21	Ramechhap	3	0.1%
22	Dolakha	3	0.1%
23	Sindhupalchok	15	0.4%
24	Kavrepalanchok	63	1.7%
25	Lalitpur	33	0.9%
26	Bhaktapur	84	2.3%
27	Kathmandu	228	6.2%
28	Nuwakot	30	0.8%
29	Rasuwa	3	0.1%
30	Dhading	33	0.9%
31	Makwanpur	105	2.8%
32	Rautahat	27	0.7%
33	Bara	48	1.3%
34	Parsa	102	2.8%
35	Chitawan	210	5.7%
36	Gorkha	33	0.9%
37	Lamjung	27	0.7%
38	Tanahu	102	2.8%
39	Syangja	57	1.5%
40	Kaski	288	7.8%
41	Manang	0	0%
42	Mustang	9	0.2%
43	Myagdi	9	0.2%
44	Parbat	27	0.7%
45	Baglung	45	1.2%
46	Gulmi	27	0.7%
47	Palpa	33	0.9%
48	Nawalparasi	93	2.5%
49	Rupandehi	141	3.8%
50	Kapilbastu	33	0.9%
51	Arghakhanchi	12	0.3%
52	Pyuthan	6	0.2%
53	Rolpa	3	0.1%
54	Rukum	21	0.6%
55	Salyan	18	0.5%
56	Dang	132	3.6%
57	Banke	195	5.3%
58	Bardiya	24	0.6%
59	Surkhet	51	1.4%
60	Dailekh	6	0.2%
61	Jajarkot	0	0%
62	Dolpa	0	0%
63	Jumla	0	0%
64	Kalikot	3	0.1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	0	0%
68	Bajhang	0	0%
69	Achham	6	0.2%
70	Doti	9	0.2%
71	Kailali	165	4.5%
72	Kanchanpur	78	2.1%
73	Dadeldhura	18	0.5%
74	Baitadi	3	0.1%
75	Darchula	6	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.