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 household surveys exclude those without permanent dwellings...

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Hauptverfasser: Himelein, Kristen, Eckman, Stephanie, Murray, Siobhan
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Eckman, Stephanie
Murray, Siobhan
description 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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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.</description><language>eng</language><publisher>World Bank, Washington, DC</publisher><subject>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 ; 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</subject><creationdate>2013</creationdate><rights>CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Policy Research Working Paper</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>307,777,781,784,18963</link.rule.ids><linktorsrc>$$Uhttps://hdl.handle.net/10986/16040$$EView_record_in_World_Bank$$FView_record_in_$$GWorld_Bank$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Himelein, Kristen</creatorcontrib><creatorcontrib>Eckman, Stephanie</creatorcontrib><creatorcontrib>Murray, Siobhan</creatorcontrib><title>The Use of Random Geographic Cluster Sampling to Survey Pastoralists</title><description>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. 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Eckman, Stephanie ; Murray, Siobhan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-worldbank_openknowledgerepository_10986_160403</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2013</creationdate><topic>ACTIVE VOLCANOES</topic><topic>AGRICULTURAL DEVELOPMENT</topic><topic>AGRICULTURAL ECONOMICS</topic><topic>AGRICULTURAL PRODUCTION</topic><topic>AGRICULTURE</topic><topic>ANIMAL</topic><topic>ANIMAL HEALTH</topic><topic>ANIMAL TYPE</topic><topic>ANIMALS</topic><topic>ARMED CONFLICT</topic><topic>CAMELS</topic><topic>CATTLE</topic><topic>CLIMATE CHANGE</topic><topic>COLLECTED DATA</topic><topic>DAIRY</topic><topic>DAIRY PRODUCTS</topic><topic>DATA COLLECTION</topic><topic>DEVELOPMENT RESEARCH</topic><topic>DRY SEASON</topic><topic>ECONOMICS</topic><topic>FARM</topic><topic>FARMS</topic><topic>FIELD GUIDES</topic><topic>FIELD WORK</topic><topic>FOOD SOURCE</topic><topic>FOREST</topic><topic>FOREST INVENTORY</topic><topic>FOREST MENSURATION</topic><topic>FOREST SCIENCE</topic><topic>FOREST SERVICE</topic><topic>GEOGRAPHIC INFORMATION</topic><topic>GEOGRAPHIC INFORMATION SYSTEMS</topic><topic>GOATS</topic><topic>HERD SIZE</topic><topic>HERDERS</topic><topic>HERDS</topic><topic>HOUSING</topic><topic>INTERVIEWS</topic><topic>ISSUES</topic><topic>LAND COVER</topic><topic>LIVESTOCK</topic><topic>LIVESTOCK DATA</topic><topic>LIVESTOCK DENSITY</topic><topic>LIVESTOCK HOLDING</topic><topic>LIVESTOCK OWNERSHIP</topic><topic>LIVESTOCK POPULATIONS</topic><topic>LIVESTOCK RAIDING</topic><topic>LIVESTOCK STATISTICS</topic><topic>MEAT</topic><topic>METHODOLOGIES</topic><topic>METHODOLOGY</topic><topic>MICROBIOLOGY</topic><topic>MIGRATION</topic><topic>MIGRATION ROUTES</topic><topic>MOUNTAINS</topic><topic>NATIONAL PARK</topic><topic>PARK BOUNDARIES</topic><topic>PASTORALISTS</topic><topic>PASTURE</topic><topic>POPULATION DENSITY</topic><topic>POVERTY REDUCTION</topic><topic>QUESTIONNAIRES</topic><topic>RAINFALL</topic><topic>RESEARCH WORKING PAPERS</topic><topic>RESEARCHERS</topic><topic>RIFT VALLEY FEVER</topic><topic>ROAD NETWORK</topic><topic>ROADS</topic><topic>RURAL DEVELOPMENT</topic><topic>RURAL LIVELIHOODS</topic><topic>SAMPLING FRAMES</topic><topic>SURVEY DATA</topic><topic>SURVEY INSTRUMENT</topic><topic>SURVEY METHODOLOGY</topic><topic>SWAMPS</topic><topic>TECHNIQUES</topic><topic>VEGETATION</topic><topic>VETERINARY</topic><topic>VULNERABLE POPULATION</topic><topic>WEIGHTING</topic><topic>WILDLIFE</topic><topic>WILDLIFE STUDIES</topic><toplevel>online_resources</toplevel><creatorcontrib>Himelein, Kristen</creatorcontrib><creatorcontrib>Eckman, Stephanie</creatorcontrib><creatorcontrib>Murray, Siobhan</creatorcontrib><collection>Open Knowledge Repository</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Himelein, Kristen</au><au>Eckman, Stephanie</au><au>Murray, Siobhan</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>The Use of Random Geographic Cluster Sampling to Survey Pastoralists</btitle><seriestitle>Policy Research Working Paper</seriestitle><date>2013-09</date><risdate>2013</risdate><volume>6589</volume><abstract>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.</abstract><pub>World Bank, Washington, DC</pub><oa>free_for_read</oa></addata></record>
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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
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
title The Use of Random Geographic Cluster Sampling to Survey Pastoralists
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