Motor Vehicle and Motorcycle Repair and Maintenance Workshop Survey 2015

Nepal, 2016

Central Bureau of Statistics,

CSV JSON

District (Q121_DISTRICT)

Data file: Employment

Overview

Valid: 7386

Invalid: 0

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 75

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	6	0.1%
2	Panchthar	36	0.5%
3	Ilam	60	0.8%
4	Jhapa	372	5%
5	Morang	246	3.3%
6	Sunsari	390	5.3%
7	Dhankuta	12	0.2%
8	Terhathum	24	0.3%
9	Sankhuwasabha	48	0.6%
10	Bhojpur	6	0.1%
11	Solukhumbu	12	0.2%
12	Okhaldhunga	24	0.3%
13	Khotang	12	0.2%
14	Udayapur	138	1.9%
15	Saptari	120	1.6%
16	Siraha	102	1.4%
17	Dhanusa	144	1.9%
18	Mahottari	108	1.5%
19	Sarlahi	168	2.3%
20	Sindhuli	24	0.3%
21	Ramechhap	6	0.1%
22	Dolakha	6	0.1%
23	Sindhupalchok	30	0.4%
24	Kavrepalanchok	126	1.7%
25	Lalitpur	66	0.9%
26	Bhaktapur	168	2.3%
27	Kathmandu	456	6.2%
28	Nuwakot	60	0.8%
29	Rasuwa	6	0.1%
30	Dhading	66	0.9%
31	Makwanpur	210	2.8%
32	Rautahat	54	0.7%
33	Bara	96	1.3%
34	Parsa	204	2.8%
35	Chitawan	420	5.7%
36	Gorkha	66	0.9%
37	Lamjung	54	0.7%
38	Tanahu	204	2.8%
39	Syangja	114	1.5%
40	Kaski	576	7.8%
41	Manang	0	0%
42	Mustang	18	0.2%
43	Myagdi	18	0.2%
44	Parbat	54	0.7%
45	Baglung	90	1.2%
46	Gulmi	54	0.7%
47	Palpa	66	0.9%
48	Nawalparasi	186	2.5%
49	Rupandehi	282	3.8%
50	Kapilbastu	66	0.9%
51	Arghakhanchi	24	0.3%
52	Pyuthan	12	0.2%
53	Rolpa	6	0.1%
54	Rukum	42	0.6%
55	Salyan	36	0.5%
56	Dang	264	3.6%
57	Banke	390	5.3%
58	Bardiya	48	0.6%
59	Surkhet	102	1.4%
60	Dailekh	12	0.2%
61	Jajarkot	0	0%
62	Dolpa	0	0%
63	Jumla	0	0%
64	Kalikot	6	0.1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	0	0%
68	Bajhang	0	0%
69	Achham	12	0.2%
70	Doti	18	0.2%
71	Kailali	330	4.5%
72	Kanchanpur	156	2.1%
73	Dadeldhura	36	0.5%
74	Baitadi	6	0.1%
75	Darchula	12	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.