National Sample Census of Agriculture 2011-2012

Nepal, 2012
Agriculture, Forestry and Fisheries

Central Bureau of Statistics

CSV JSON

District (Q01)

Data file: S054

Overview

Valid: 856388

Invalid: 0

Minimum: 1

Maximum: 75

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 75

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	9471	1.1%
2	Panchthar	10360	1.2%
3	Ilam	11830	1.4%
4	Jhapa	16079	1.9%
5	Morang	16079	1.9%
6	Sunsari	13076	1.5%
7	Dhankuta	11179	1.3%
8	Terhathum	9905	1.2%
9	Sankhuwasabha	10794	1.3%
10	Bhojpur	11445	1.3%
11	Solukhumbu	9429	1.1%
12	Okhaldhunga	9905	1.2%
13	Khotang	13251	1.5%
14	Udayapur	11011	1.3%
15	Saptari	14728	1.7%
16	Siraha	13503	1.6%
17	Dhanusa	14266	1.7%
18	Mahottari	12238	1.4%
19	Sarlahi	14077	1.6%
20	Sindhuli	11543	1.3%
21	Ramechhap	10857	1.3%
22	Dolakha	8071	0.9%
23	Sindhupalchok	13132	1.5%
24	Kavrepalanchok	13097	1.5%
25	Lalitpur	8512	1%
26	Bhaktapur	7686	0.9%
27	Kathmandu	8253	1%
28	Nuwakot	12355	1.4%
29	Rasuwa	8463	1%
30	Dhading	11459	1.3%
31	Makwanpur	10948	1.3%
32	Rautahat	14259	1.7%
33	Bara	16773	2%
34	Parsa	13944	1.6%
35	Chitawan	14121	1.6%
36	Gorkha	12173	1.4%
37	Lamjung	11396	1.3%
38	Tanahu	11466	1.3%
39	Syangja	13678	1.6%
40	Kaski	12495	1.5%
41	Manang	6909	0.8%
42	Mustang	8386	1%
43	Myagdi	9002	1.1%
44	Parbat	10542	1.2%
45	Baglung	12348	1.4%
46	Gulmi	11123	1.3%
47	Palpa	10682	1.2%
48	Nawalparasi	15043	1.8%
49	Rupandehi	15876	1.9%
50	Kapilbastu	16310	1.9%
51	Arghakhanchi	10052	1.2%
52	Pyuthan	9905	1.2%
53	Rolpa	9499	1.1%
54	Rukum	10584	1.2%
55	Salyan	11431	1.3%
56	Dang	14721	1.7%
57	Banke	13762	1.6%
58	Bardiya	13657	1.6%
59	Surkhet	12348	1.4%
60	Dailekh	10697	1.2%
61	Jajarkot	9331	1.1%
62	Dolpa	9177	1.1%
63	Jumla	8736	1%
64	Kalikot	8638	1%
65	Mugu	8743	1%
66	Humla	8939	1%
67	Bajura	8449	1%
68	Bajhang	8267	1%
69	Achham	9030	1.1%
70	Doti	9444	1.1%
71	Kailali	17199	2%
72	Kanchanpur	14588	1.7%
73	Dadeldhura	8225	1%
74	Baitadi	8821	1%
75	Darchula	8617	1%

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.