Motor Vehicle and Motorcycle Repair and Maintenance Workshop Survey 2015

Nepal, 2016

Central Bureau of Statistics,

CSV JSON

District (Q121_DISTRICT)

Data file: Other expenditure

Overview

Valid: 6155

Invalid: 0

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 75

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	5	0.1%
2	Panchthar	30	0.5%
3	Ilam	50	0.8%
4	Jhapa	310	5%
5	Morang	205	3.3%
6	Sunsari	325	5.3%
7	Dhankuta	10	0.2%
8	Terhathum	20	0.3%
9	Sankhuwasabha	40	0.6%
10	Bhojpur	5	0.1%
11	Solukhumbu	10	0.2%
12	Okhaldhunga	20	0.3%
13	Khotang	10	0.2%
14	Udayapur	115	1.9%
15	Saptari	100	1.6%
16	Siraha	85	1.4%
17	Dhanusa	120	1.9%
18	Mahottari	90	1.5%
19	Sarlahi	140	2.3%
20	Sindhuli	20	0.3%
21	Ramechhap	5	0.1%
22	Dolakha	5	0.1%
23	Sindhupalchok	25	0.4%
24	Kavrepalanchok	105	1.7%
25	Lalitpur	55	0.9%
26	Bhaktapur	140	2.3%
27	Kathmandu	380	6.2%
28	Nuwakot	50	0.8%
29	Rasuwa	5	0.1%
30	Dhading	55	0.9%
31	Makwanpur	175	2.8%
32	Rautahat	45	0.7%
33	Bara	80	1.3%
34	Parsa	170	2.8%
35	Chitawan	350	5.7%
36	Gorkha	55	0.9%
37	Lamjung	45	0.7%
38	Tanahu	170	2.8%
39	Syangja	95	1.5%
40	Kaski	480	7.8%
41	Manang	0	0%
42	Mustang	15	0.2%
43	Myagdi	15	0.2%
44	Parbat	45	0.7%
45	Baglung	75	1.2%
46	Gulmi	45	0.7%
47	Palpa	55	0.9%
48	Nawalparasi	155	2.5%
49	Rupandehi	235	3.8%
50	Kapilbastu	55	0.9%
51	Arghakhanchi	20	0.3%
52	Pyuthan	10	0.2%
53	Rolpa	5	0.1%
54	Rukum	35	0.6%
55	Salyan	30	0.5%
56	Dang	220	3.6%
57	Banke	325	5.3%
58	Bardiya	40	0.6%
59	Surkhet	85	1.4%
60	Dailekh	10	0.2%
61	Jajarkot	0	0%
62	Dolpa	0	0%
63	Jumla	0	0%
64	Kalikot	5	0.1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	0	0%
68	Bajhang	0	0%
69	Achham	10	0.2%
70	Doti	15	0.2%
71	Kailali	275	4.5%
72	Kanchanpur	130	2.1%
73	Dadeldhura	30	0.5%
74	Baitadi	5	0.1%
75	Darchula	10	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.