Motor Vehicle and Motorcycle Repair and Maintenance Workshop Survey 2015

Nepal, 2016

Central Bureau of Statistics,

CSV JSON

District (Q121_DISTRICT)

Data file: Operating expenditure

Overview

Valid: 19696

Invalid: 0

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 75

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	16	0.1%
2	Panchthar	96	0.5%
3	Ilam	160	0.8%
4	Jhapa	992	5%
5	Morang	656	3.3%
6	Sunsari	1040	5.3%
7	Dhankuta	32	0.2%
8	Terhathum	64	0.3%
9	Sankhuwasabha	128	0.6%
10	Bhojpur	16	0.1%
11	Solukhumbu	32	0.2%
12	Okhaldhunga	64	0.3%
13	Khotang	32	0.2%
14	Udayapur	368	1.9%
15	Saptari	320	1.6%
16	Siraha	272	1.4%
17	Dhanusa	384	1.9%
18	Mahottari	288	1.5%
19	Sarlahi	448	2.3%
20	Sindhuli	64	0.3%
21	Ramechhap	16	0.1%
22	Dolakha	16	0.1%
23	Sindhupalchok	80	0.4%
24	Kavrepalanchok	336	1.7%
25	Lalitpur	176	0.9%
26	Bhaktapur	448	2.3%
27	Kathmandu	1216	6.2%
28	Nuwakot	160	0.8%
29	Rasuwa	16	0.1%
30	Dhading	176	0.9%
31	Makwanpur	560	2.8%
32	Rautahat	144	0.7%
33	Bara	256	1.3%
34	Parsa	544	2.8%
35	Chitawan	1120	5.7%
36	Gorkha	176	0.9%
37	Lamjung	144	0.7%
38	Tanahu	544	2.8%
39	Syangja	304	1.5%
40	Kaski	1536	7.8%
41	Manang	0	0%
42	Mustang	48	0.2%
43	Myagdi	48	0.2%
44	Parbat	144	0.7%
45	Baglung	240	1.2%
46	Gulmi	144	0.7%
47	Palpa	176	0.9%
48	Nawalparasi	496	2.5%
49	Rupandehi	752	3.8%
50	Kapilbastu	176	0.9%
51	Arghakhanchi	64	0.3%
52	Pyuthan	32	0.2%
53	Rolpa	16	0.1%
54	Rukum	112	0.6%
55	Salyan	96	0.5%
56	Dang	704	3.6%
57	Banke	1040	5.3%
58	Bardiya	128	0.6%
59	Surkhet	272	1.4%
60	Dailekh	32	0.2%
61	Jajarkot	0	0%
62	Dolpa	0	0%
63	Jumla	0	0%
64	Kalikot	16	0.1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	0	0%
68	Bajhang	0	0%
69	Achham	32	0.2%
70	Doti	48	0.2%
71	Kailali	880	4.5%
72	Kanchanpur	416	2.1%
73	Dadeldhura	96	0.5%
74	Baitadi	16	0.1%
75	Darchula	32	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.