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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| Format: | Policy Research Working Paper |
| Language: | English en_US |
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World Bank, Washington, DC
2013
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| Online Access: | http://documents.worldbank.org/curated/en/2013/09/18193888/use-random-geographic-cluster-sampling-survey-pastoralists http://hdl.handle.net/10986/16040 |
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okr-10986-160402021-04-23T14:03:27Z The Use of Random Geographic Cluster Sampling to Survey Pastoralists Himelein, Kristen Eckman, Stephanie Murray, Siobhan 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 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. 2013-10-02T21:32:04Z 2013-10-02T21:32:04Z 2013-09 http://documents.worldbank.org/curated/en/2013/09/18193888/use-random-geographic-cluster-sampling-survey-pastoralists http://hdl.handle.net/10986/16040 English en_US Policy Research Working Paper;No. 6589 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research Africa |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
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 |
| spellingShingle |
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 Himelein, Kristen Eckman, Stephanie Murray, Siobhan The Use of Random Geographic Cluster Sampling to Survey Pastoralists |
| geographic_facet |
Africa |
| relation |
Policy Research Working Paper;No. 6589 |
| 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. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Himelein, Kristen Eckman, Stephanie Murray, Siobhan |
| author_facet |
Himelein, Kristen Eckman, Stephanie Murray, Siobhan |
| author_sort |
Himelein, Kristen |
| title |
The Use of Random Geographic Cluster Sampling to Survey Pastoralists |
| title_short |
The Use of Random Geographic Cluster Sampling to Survey Pastoralists |
| title_full |
The Use of Random Geographic Cluster Sampling to Survey Pastoralists |
| title_fullStr |
The Use of Random Geographic Cluster Sampling to Survey Pastoralists |
| title_full_unstemmed |
The Use of Random Geographic Cluster Sampling to Survey Pastoralists |
| title_sort |
use of random geographic cluster sampling to survey pastoralists |
| publisher |
World Bank, Washington, DC |
| publishDate |
2013 |
| url |
http://documents.worldbank.org/curated/en/2013/09/18193888/use-random-geographic-cluster-sampling-survey-pastoralists http://hdl.handle.net/10986/16040 |
| _version_ |
1764432057384042496 |