Household Risk and Vulnerability Survey 2016
Nepal, 2016
Get MicrodataCreated on
Oct 10, 2017
Last modified
Oct 10, 2017
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- Data files
- weights
- Section_0
- Section_1
- Section_2
- Section_3a
- Section_3b
- Section_4a
- Section_4b
- Section_5
- Section_0
- Section_1
- Section_2
- Section_3
- Section_4
- Section_5a
- Section_5b
- Section_6a
- Section_6b
- Section_6c
- Section_6d
- Section_7a
- Section_7b
- Section_8
- Section_9a1
- Section_9a2
- Section_9a3
- Section_9a4
- Section_9b1
- Section_9b2
- Section_9c
- Section_9d
- Section_9e
- Section_9f
- Section_10
- Section_11
- Section_12a
- Section_12b
- Section_12c
- Section_13a
- Section_13b
- Section_13c
- Section_13d
- Section_14a
- Section_14b
- Section_14c
- Section_15a
- Section_15b
- Section_16
District of recipient (s13q06d)
Data file: Section_13a
Overview
Valid:
17
Invalid:
207
Type:
Discrete
Decimal:
0
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Achham |
| 2 | Arghakhanchi |
| 3 | Baglung |
| 4 | Baitadi |
| 5 | Bajhang |
| 6 | Bajura |
| 7 | Banke |
| 8 | Bara |
| 9 | Bardiya |
| 10 | Bhaktapur |
| 11 | Bhojpur |
| 12 | Chitwan |
| 13 | Dadeldhura |
| 14 | Dailekh |
| 15 | Dang |
| 16 | Darchula |
| 17 | Dhading |
| 18 | Dhankuta |
| 19 | Dhanusa |
| 20 | Dolakha |
| 21 | Dolpa |
| 22 | Doti |
| 23 | Gorkha |
| 24 | Gulmi |
| 25 | Humla |
| 26 | Illam |
| 27 | Jajarkot |
| 28 | Jhapa |
| 29 | Jumla |
| 30 | Kailali |
| 31 | Kalikot |
| 32 | Kanchanpur |
| 33 | Kapilbastu |
| 34 | Kaski |
| 35 | Kathmandu |
| 36 | Kavrepalanchowk |
| 37 | Khotang |
| 38 | Lalitpur |
| 39 | Lamjung |
| 40 | Mahottari |
| 41 | Makwanpur |
| 42 | Manang |
| 43 | Morang |
| 44 | Mugu |
| 45 | Mustang |
| 46 | Myagdi |
| 47 | Nawalparasi |
| 48 | Nuwakot |
| 49 | Okhaldhunga |
| 50 | Palpa |
| 51 | Panchthar |
| 52 | Parbat |
| 53 | Parsa |
| 54 | Pyuthan |
| 55 | Ramechhap |
| 56 | Rasuwa |
| 57 | Rautahat |
| 58 | Rolpa |
| 59 | Rukum |
| 60 | Rupandehi |
| 61 | Salyan |
| 62 | Sankhuwasabha |
| 63 | Saptari |
| 64 | Sarlahi |
| 65 | Sindhuli |
| 66 | Sindhupalchowk |
| 67 | Siraha |
| 68 | Solukhumbhu |
| 69 | Sunsari |
| 70 | Surkhet |
| 71 | Syangja |
| 72 | Tanahu |
| 73 | Taplejung |
| 74 | Terhathum |
| 75 | Udayapur |
| Sysmiss |
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.