Motor Vehicle and Motorcycle Repair and Maintenance Workshop Survey 2015

Nepal, 2016

Central Bureau of Statistics,

CSV JSON

District (Q121_DISTRICT)

Data file: Waste management

Overview

Valid: 4416

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	0.9%
4	Jhapa	212	4.8%
5	Morang	148	3.4%
6	Sunsari	120	2.7%
7	Dhankuta	8	0.2%
8	Terhathum	16	0.4%
9	Sankhuwasabha	32	0.7%
10	Bhojpur	4	0.1%
11	Solukhumbu	8	0.2%
12	Okhaldhunga	16	0.4%
13	Khotang	8	0.2%
14	Udayapur	76	1.7%
15	Saptari	76	1.7%
16	Siraha	68	1.5%
17	Dhanusa	96	2.2%
18	Mahottari	56	1.3%
19	Sarlahi	92	2.1%
20	Sindhuli	16	0.4%
21	Ramechhap	4	0.1%
22	Dolakha	0	0%
23	Sindhupalchok	20	0.5%
24	Kavrepalanchok	64	1.4%
25	Lalitpur	44	1%
26	Bhaktapur	112	2.5%
27	Kathmandu	300	6.8%
28	Nuwakot	40	0.9%
29	Rasuwa	4	0.1%
30	Dhading	44	1%
31	Makwanpur	128	2.9%
32	Rautahat	36	0.8%
33	Bara	60	1.4%
34	Parsa	136	3.1%
35	Chitawan	252	5.7%
36	Gorkha	44	1%
37	Lamjung	36	0.8%
38	Tanahu	132	3%
39	Syangja	72	1.6%
40	Kaski	380	8.6%
41	Manang	0	0%
42	Mustang	12	0.3%
43	Myagdi	4	0.1%
44	Parbat	28	0.6%
45	Baglung	56	1.3%
46	Gulmi	36	0.8%
47	Palpa	40	0.9%
48	Nawalparasi	120	2.7%
49	Rupandehi	164	3.7%
50	Kapilbastu	40	0.9%
51	Arghakhanchi	16	0.4%
52	Pyuthan	8	0.2%
53	Rolpa	4	0.1%
54	Rukum	28	0.6%
55	Salyan	24	0.5%
56	Dang	172	3.9%
57	Banke	252	5.7%
58	Bardiya	32	0.7%
59	Surkhet	68	1.5%
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	0.3%
71	Kailali	192	4.3%
72	Kanchanpur	24	0.5%
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.