Nepal Commercial Coffee Survey 2019
Nepal, 2018 - 2019
Central Bureau of Statistics
Created on July 05, 2019
Last modified July 05, 2019
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1.2 District (DISTRICT)
Data file: 1.Introduction
Overview
Valid:
894
Invalid:
0
Minimum:
101
Maximum:
506
Type:
Continuous
Decimal:
0
Width:
3
Range:
101 - 506
Format:
Numeric
Questions and instructions
Literal question
Which is your District?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Taplejung | 21 |
2.3%
|
| 102 | Sankhuwasabha | 14 |
1.6%
|
| 104 | Okhaldhunga | 16 |
1.8%
|
| 105 | Khotang | 24 |
2.7%
|
| 106 | Bhojpur | 16 |
1.8%
|
| 107 | Dhankuta | 10 |
1.1%
|
| 108 | Terhathum | 34 |
3.8%
|
| 109 | Panchthar | 20 |
2.2%
|
| 110 | Ilam | 43 |
4.8%
|
| 114 | Udaypur | 29 |
3.2%
|
| 301 | Dolakha | 19 |
2.1%
|
| 302 | Sindhupalchok | 48 |
5.4%
|
| 303 | Rasuwa | 14 |
1.6%
|
| 304 | Dhading | 15 |
1.7%
|
| 305 | Nuwakot | 45 |
5%
|
| 308 | Lalitpur | 45 |
5%
|
| 309 | Kavre | 62 |
6.9%
|
| 310 | Ramechhap | 20 |
2.2%
|
| 311 | Sindhuli | 20 |
2.2%
|
| 312 | Makawanpur | 15 |
1.7%
|
| 401 | Gorkha | 33 |
3.7%
|
| 404 | Myagdi | 14 |
1.6%
|
| 405 | Kaski | 49 |
5.5%
|
| 406 | Lamjung | 30 |
3.4%
|
| 407 | Tanahu | 16 |
1.8%
|
| 409 | Syanjha | 43 |
4.8%
|
| 410 | Parbat | 33 |
3.7%
|
| 411 | Baglung | 12 |
1.3%
|
| 503 | Pyuthan | 13 |
1.5%
|
| 504 | Gulmi | 44 |
4.9%
|
| 505 | Arghakhanchi | 30 |
3.4%
|
| 506 | Palpa | 47 |
5.3%
|
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.