Motor Vehicle and Motorcycle Repair and Maintenance Workshop Survey 2015

Nepal, 2016

Central Bureau of Statistics,

CSV JSON

District (Q121_DISTRICT)

Data file: Financial transaction

Overview

Valid: 4924

Invalid: 0

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 75

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	4	0.1%
2	Panchthar	24	0.5%
3	Ilam	40	0.8%
4	Jhapa	248	5%
5	Morang	164	3.3%
6	Sunsari	260	5.3%
7	Dhankuta	8	0.2%
8	Terhathum	16	0.3%
9	Sankhuwasabha	32	0.6%
10	Bhojpur	4	0.1%
11	Solukhumbu	8	0.2%
12	Okhaldhunga	16	0.3%
13	Khotang	8	0.2%
14	Udayapur	92	1.9%
15	Saptari	80	1.6%
16	Siraha	68	1.4%
17	Dhanusa	96	1.9%
18	Mahottari	72	1.5%
19	Sarlahi	112	2.3%
20	Sindhuli	16	0.3%
21	Ramechhap	4	0.1%
22	Dolakha	4	0.1%
23	Sindhupalchok	20	0.4%
24	Kavrepalanchok	84	1.7%
25	Lalitpur	44	0.9%
26	Bhaktapur	112	2.3%
27	Kathmandu	304	6.2%
28	Nuwakot	40	0.8%
29	Rasuwa	4	0.1%
30	Dhading	44	0.9%
31	Makwanpur	140	2.8%
32	Rautahat	36	0.7%
33	Bara	64	1.3%
34	Parsa	136	2.8%
35	Chitawan	280	5.7%
36	Gorkha	44	0.9%
37	Lamjung	36	0.7%
38	Tanahu	136	2.8%
39	Syangja	76	1.5%
40	Kaski	384	7.8%
41	Manang	0	0%
42	Mustang	12	0.2%
43	Myagdi	12	0.2%
44	Parbat	36	0.7%
45	Baglung	60	1.2%
46	Gulmi	36	0.7%
47	Palpa	44	0.9%
48	Nawalparasi	124	2.5%
49	Rupandehi	188	3.8%
50	Kapilbastu	44	0.9%
51	Arghakhanchi	16	0.3%
52	Pyuthan	8	0.2%
53	Rolpa	4	0.1%
54	Rukum	28	0.6%
55	Salyan	24	0.5%
56	Dang	176	3.6%
57	Banke	260	5.3%
58	Bardiya	32	0.6%
59	Surkhet	68	1.4%
60	Dailekh	8	0.2%
61	Jajarkot	0	0%
62	Dolpa	0	0%
63	Jumla	0	0%
64	Kalikot	4	0.1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	0	0%
68	Bajhang	0	0%
69	Achham	8	0.2%
70	Doti	12	0.2%
71	Kailali	220	4.5%
72	Kanchanpur	104	2.1%
73	Dadeldhura	24	0.5%
74	Baitadi	4	0.1%
75	Darchula	8	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.