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IMPACT-ASSESSMENT-SURVEYS

High-Value Agriculture Project in Hill and Mountain Areas, IFAD Impact Assessment Surveys, 2018

Nepal, 2018
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Reference ID
NPL_2018_HVAP-IIAS_v01_EN_M_v01_A_OCS
Producer(s)
International Fund for Agricultural Development, Ministry of Agriculture, Land Management and Cooperatives, Lattanzio Monitoring and Evaluation, Italy, Full Bright Consultancy, Nepal
Collections
IFAD Impact Assessment Surveys
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Created on
May 11, 2022
Last modified
Jun 13, 2022
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I.2. What is the name of the Village Development Committee (VDC) or Municipality (vdc_municipality)

Data file: anon_analysis

Overview

Valid: 2874
Invalid: 0
Type: Discrete
Decimal: 2
Width: 6
Range: 101 - 735
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Bannatoli 13
0.5%
102 Barla 10
0.3%
103 BAYALA 26
0.9%
104 Bhairabstan 39
1.4%
105 Dharaki 38
1.3%
106 Ghodasain 13
0.5%
107 Nada 11
0.4%
108 Tosi 12
0.4%
201 Badabhairab 13
0.5%
202 Baraha 13
0.5%
203 Basi 11
0.4%
204 Belpata 24
0.8%
205 Bhairi Kalikathum 12
0.4%
206 Dada Parajul 11
0.4%
207 Gamaudi 13
0.5%
208 Gauri 12
0.4%
209 Goganpani 13
0.5%
210 Jaganatha 38
1.3%
211 Kal Bhairab 13
0.5%
212 Khadgabada 24
0.8%
213 Kusapani 24
0.8%
214 Lakandra 12
0.4%
215 lakuri 39
1.4%
216 Liyatibindrasaini 13
0.5%
217 Malika 12
0.4%
218 Meheltoli 11
0.4%
219 Narayan Municipality 24
0.8%
220 Narayan Nagarpalika 23
0.8%
221 Naule Katuwal 13
0.5%
222 Paduka 13
0.5%
223 Pipalkot 13
0.5%
224 Rakam Karnali 13
0.5%
225 Shalleri 12
0.4%
226 Sinhasain 12
0.4%
301 Bhoor 12
0.4%
302 Dasera 13
0.5%
303 Dhime 26
0.9%
304 Garkhakot 12
0.4%
305 Jagatipur 23
0.8%
306 Jhapra 13
0.5%
307 Karkigaun 13
0.5%
308 Khagenkot 75
2.6%
309 Khalanga 74
2.6%
310 Pajaru 12
0.4%
311 Punama 11
0.4%
312 Ragda 24
0.8%
313 Sima 26
0.9%
314 Suwanauli 12
0.4%
315 Talegaun 23
0.8%
401 Badki 13
0.5%
402 Chhumchaur 10
0.3%
403 Depalgaun 50
1.7%
404 Dhapa 12
0.4%
405 Dillichaur 46
1.6%
406 Kartik Swami 26
0.9%
407 Lamra 26
0.9%
408 Mahabai Patarkhola 12
0.4%
409 Malika 26
0.9%
410 Pandabgupha 50
1.7%
411 Patarashi 35
1.2%
412 Patmara 45
1.6%
413 Sanigaun 11
0.4%
501 Badalkot 37
1.3%
502 Chhapre 48
1.7%
503 Chilkhaya 20
0.7%
504 Dahafatgaun 13
0.5%
505 Fukot 62
2.2%
506 Jubitha 23
0.8%
507 Kotbada 12
0.4%
508 Manma 25
0.9%
509 Mugraha 12
0.4%
510 Odanaku 11
0.4%
511 Raku 25
0.9%
512 Ranchuli 34
1.2%
513 Sipkhana 51
1.8%
601 Chande 12
0.4%
602 Dandagoun 25
0.9%
603 Devsthal 23
0.8%
604 Hiwalcha 35
1.2%
605 Kalimati Kalche 24
0.8%
606 Khalanga 19
0.7%
607 Kotmala 12
0.4%
608 Kupinde Daha 13
0.5%
609 Majh Kanda 25
0.9%
610 Marke 13
0.5%
611 Mulkhola 12
0.4%
612 Nigalchula 24
0.8%
613 Saijuwal Takura 26
0.9%
614 Suikot 13
0.5%
615 Syanikhal 13
0.5%
616 Laxmipur 26
0.9%
701 Agragaun 12
0.4%
702 Awalching 13
0.5%
703 Babiyachaur 12
0.4%
704 Betan 37
1.3%
705 Bidyapur 12
0.4%
706 Bijaura 38
1.3%
707 Birendranagar Municipality 25
0.9%
708 Chapre 12
0.4%
709 Chhinchu 26
0.9%
710 Dahachour 25
0.9%
711 Dasarathpur 12
0.4%
712 Dharapani 13
0.5%
713 Ghatgaun 38
1.3%
714 Ghumkhahare 26
0.9%
715 Gumi 52
1.8%
716 Hariharpur 12
0.4%
717 Kafalkot 25
0.9%
718 Kalyan 12
0.4%
719 Kaprichaur 12
0.4%
720 Khanikhola 49
1.7%
721 Kunathari 24
0.8%
722 Latikoili 23
0.8%
723 Lekhparajul 36
1.3%
724 Malarani 12
0.4%
725 Mehelkuna 26
0.9%
726 Neta 13
0.5%
727 Pamka 44
1.5%
728 Pokharikanda 12
0.4%
729 Rajena 49
1.7%
730 Ramghat 13
0.5%
731 Ranibas 51
1.8%
732 Sahare 11
0.4%
733 Salkot 49
1.7%
734 Satakhani 12
0.4%
735 Tatopani 24
0.8%
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.
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