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The Use of Random Geographic Cluster Sampling to Survey Pastoralists

Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect because of the nomadic and semi-nomadic nature of many pastoralist populations. Most househo...

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Bibliographic Details
Main Authors: Himelein, Kristen, Eckman, Stephanie, Murray, Siobhan
Language:English
en_US
Published: World Bank, Washington, DC 2013
Subjects:
ACTIVE VOLCANOES
AGRICULTURAL DEVELOPMENT
AGRICULTURAL ECONOMICS
AGRICULTURAL PRODUCTION
AGRICULTURE
ANIMAL
ANIMAL HEALTH
ANIMAL TYPE
ANIMALS
ARMED CONFLICT
CAMELS
CATTLE
CLIMATE CHANGE
COLLECTED DATA
DAIRY
DAIRY PRODUCTS
DATA COLLECTION
DEVELOPMENT RESEARCH
DRY SEASON
ECONOMICS
EQUIPMENT
FARM
FARMS
FIELD GUIDES
FIELD WORK
FOOD SOURCE
FOREST
FOREST INVENTORY
FOREST MENSURATION
FOREST SCIENCE
FOREST SERVICE
GEOGRAPHIC INFORMATION
GEOGRAPHIC INFORMATION SYSTEMS
GOATS
HERD SIZE
HERDERS
HERDS
HOUSING
INTERVIEWS
ISSUES
LAND COVER
LIVESTOCK
LIVESTOCK DATA
LIVESTOCK DENSITY
LIVESTOCK HOLDING
LIVESTOCK OWNERSHIP
LIVESTOCK POPULATIONS
LIVESTOCK RAIDING
LIVESTOCK STATISTICS
MEAT
METHODOLOGIES
METHODOLOGY
MICROBIOLOGY
MIGRATION
MIGRATION ROUTES
MOUNTAINS
NATIONAL PARK
PARK BOUNDARIES
PASTORALISTS
PASTURE
POPULATION DENSITY
POVERTY REDUCTION
QUESTIONNAIRES
RAINFALL
RESEARCH WORKING PAPERS
RESEARCHERS
RIFT VALLEY FEVER
ROAD NETWORK
ROADS
RURAL DEVELOPMENT
RURAL LIVELIHOODS
SAMPLING FRAMES
SURVEY DATA
SURVEY INSTRUMENT
SURVEY METHODOLOGY
SWAMPS
TECHNIQUES
VEGETATION
VETERINARY
VULNERABLE POPULATION
WEIGHTING
WILDLIFE
WILDLIFE STUDIES
Online Access:http://documents.worldbank.org/curated/en/2013/09/18193888/use-random-geographic-cluster-sampling-survey-pastoralists
http://hdl.handle.net/10986/16040
Description
Summary:Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect because of the nomadic and semi-nomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. This study explores the use of a random geographic cluster sample as an alternative to the household-based sample. In this design, points are randomly selected and all eligible respondents found inside circles drawn around the selected points are interviewed. This approach should eliminate undercoverage of mobile populations. The results of a random geographic cluster sample survey are presented with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. The paper explores the data quality of the random geographic cluster sample relative to a recent household survey and discusses the implementation challenges.

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