Download - Uncovering DHS data for livestock research
Uncovering DHS Data for Livestock Research
Catherine Pfeifer, Stephen Oloo
Nairobi3rd February 2017
Content
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Background
• DHS data description• Spatial DHS units• Survey types• Standard DHS survey
DHS use in livestock
• Agricultural population mapping• Poor livestock keeper mapping• Gender context maps for value chain• Understanding linkage between livestock ownership and animal sourced food
Potential future research
• Creating absolute poverty maps • Investigate linkage between livestock ownership and nutrition• Conclusion
Content
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DHS data
• Background• Spatial DHS units• Survey types• Standard DHS survey
DHS use in livestock
• Agricultural population mapping• Poor livestock keeper mapping• Gender context maps for value chain• Understanding linkage between livestock ownership and animal sourced food
Potential future research
• Creating absolute poverty maps • Investigate linkage between livestock ownership and nutrition• Conclusion
DHS data : Background
• DHS program was established in 1984 by the USAID
• Carries out nationally representative demographic and health
surveys
• Objectives Support decision making
Improve coordination and partnerships in data collection
Develop capacity
Improve tools and methods for data collection and analysis
Improve the dissemination and utilization of data
• Main funding for the surveys come from the USAID
• More than 300 nationally representative surveys have been carried
out in about 90 countries4
DHS data : Spatiality of DHS data
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DHS units :Admin units at which the survey is representative
Cluster coordinates :Cluster is a group of 20-40 householdsCentroid of the household location is shifted (2km in urban, 5km in rural area)
DHS data : Survey Types
• The types of data collected varies by survey type and level
(individual/household) survey
• Survey types:• Service Provision Assessment (SPA)
• HIV/AIDS Indicator Survey (AIS)
• Malaria Indicator Survey (MIS)
• Demographic and Health Survey (DHS) (Standard DHS Surveys & Interim DHS
Surveys)
• DHS is not open data, needs to be requested for specific projects
and under reporting conditions.
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DHS data : Structure of the Standard Survey
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Standard DHS
Women survey
Men survey
Household survey
Children survey
• Basic data• Health and
breastfeeding• Child’s health• Partner’s
characteristics• Domestic
violence
HH Characteristics(Assets and wealth index)
Sampling : Over-sampling/ Under-sampling=> correction factors are provided Sampling is representative at “DHS unit” level (often admin unit)
DHS data : Standard DHS data we work with
Content
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Background
• DHS data description• Spatial DHS units• Survey types• Standard DHS survey
DHS use in livestock
• Agricultural population mapping• Poor livestock keeper mapping• Gender context maps for value chain• Understanding linkage between livestock ownership and animal sourced food
Potential future research
• Creating absolute poverty maps • Investigate linkage between livestock ownership and nutrition• Conclusion
• Suppress the rural-urban divide
• Extract cluster level data– Livestock ownership (cattle,
sheep, goat, chicken, pigs)– Reporting depending on
agriculture• Currently testing mapping
methods and correlation
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Illustration : Agricultural population mapping
• Wealth index – Relative poverty measurement – Classifying HH in quintiles based on consumer items
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Poorest = poorest 20%Poorer = poorest 40%
From the sample
Illustration : Poor livestock keeper mapping
• Targeting : will only include gender if we can map gender context
• Combining DHS data from women survey with OECD
• Used DHS variables : education, power, asset ownership, access to news
• Factor analysis : 1. High education2. High family labor3. Legal discrimination from finance and
public space4. Land ownership alone (at hh level)5. Legal discrimination for land and non-
land assets12
Illustration : Gender context maps for value chain
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IMPACT GE model : ASF demand and consumption => national average
What does it mean for the poor livestock keeper?
• Do poor people keep more or less livestock?
Data : wealth index and livestock ownership
Illustration : linkage between poverty and livestock ownership
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Data used : wealth index, livestock ownership, 24h recall for children between 1-5 years old
What does it mean for the poor livestock keeper?
• Do poor livestock keeper consume more ASF?
Illustration : linkage between livestock ownership and animal sourced food
Content
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Background
• DHS data description• Spatial DHS units• Survey types• Standard DHS survey
DHS use in livestock
• Agricultural population mapping• Poor livestock keeper mapping• Gender context maps for value chain• Understanding linkage between livestock ownership and animal sourced food
Potential future research
• Creating absolute poverty maps • Investigate linkage between livestock ownership and nutrition• Conclusion
• Absolute poverty maps – Linking to WDI poverty indicators
(1.9$, 3.1$ poverty line) • Improved understanding of the linkages between livestock
ownership and nutrition– Role of markets (degree of urbanity) – Linkages with other food items than ASF
• Assessing the linkage between herd size and composition and wealth
All is a spatio-temporal context
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Potential Future Research
• DHS is a health survey with livestock information, no crops
• Wealth measure is based on consumption and is relative– Lots of consumer items are available
• There is children and mothers nutrition data • It is spatially explicit and can be mapped
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Conclusion
DHS gives us new insights on the role of livestock for the poor based on more than a
million observation points across the developing world
[email protected], [email protected]
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