Methodology and Sample

The districts covered in the PVA were selected purposefully based on the following criteria:
  • Prior environmental hazards such as floods, flash floods, or droughts
  • Representativeness in terms of ecological, ethnic, livelihoods, and socioeconomic factors
Selection of households involved a two-stage process. In the first stage, districts were stratified based on socioeconomic and ecological factors and a predetermined number of settlements was selected randomly from each strata.
In the second stage, households were selected randomly from each selected settlement. Household selection followed a random route procedure.
A sample size of about 385 households was used at the district level to ensure representative data on poverty and vulnerability. In each district, the number of households surveyed in a settlement was proportional to the total population. Results are representative at the district level and not at the sub-basin, state/province or national level.


Sample size covered in PVA by Sub-basin (country)


Sub-basin (Country)
Household interviewed
Upper Indus (Pakistan) Chitral 383
Hunza Nagar 376
Gilgit 380
Total 1139
Koshi (Nepal) Khotang 385
Dolakha 385
Kavre Palanchok 385
Sunsari 386
Siraha 384
Udayapur 385
Total 2310
Eastern Brahmaputra (India) Lakhimpur 390
Tinsukia 396
Morigaon 386
Dhemaji 390
Lohit 330
East Siang 375
Lower Dibang 380
Total 2647
Salween-Mekong (China) Lincang 393
Baoshan 391
Dali 406
Diqing 405
Nujiang 392
Total 1987
Total 8083



The views and interpretations provided in this publication are derived from the PVA survey and the participants involved. They are not attributable to ICIMOD, GRID-Arendal and CICERO, and do not imply the expression of any opinion whatsoever on the legal status of any country, territory, city or area of authority, or the delimitation of frontiers or boundaries, or the endorsement of any product.

Chart: PVA survey 2011-2012, ICIMOD

Recommended citation:

ICIMOD (2016) ‘[CHART TITLE]’ in PVA Survey 2011-2012, ICIMOD. Kathmandu: ICIMOD