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National automatic preEnumeration Areas (preEAs) in Burkina Faso (2019), version 1.0

Domaine:

socioeconomicgeospatial

Type de record:

dataset
Créateur:
QadHarKueDar
Éditeur:
University of Southampton
Hôte:avatar
These data were produced by the WorldPop Research Group at the University of Southampton. GRID3 is supporting the realisation of a fully digital census in Burkina Faso (BFA). BFA has conducted the fifth national population and housing census in December 2019-January 2020. For the purpose of the census data collection, the territory of Burkina Faso was divided into operational geographic units called Enumeration Zones (Zones de Dénombrements (ZDs)) which is equivalent to Enumeration Areas (EAs). The main limitation of this census is that the EA boundaries have been drawn manually on paper and there is currently no national digitized EA dataset for BFA. This makes the processing, dissemination and analysis of census data limited to summary tables and more complex spatial analyses are difficult. In addition, since the current EA boundaries are not georeferenced, accurate statistical summarization of the collected georeferenced census data at the EA level or for custom areas and representation of these on digital maps is a challenge. GRID3 supports the National Institute of Statistics and Demography (INSD) in digitalisation by semi-automatically creating preEnumeration Area datasets that can speed up and make the digital EAs demarcation more robust.

Visit

doi.orgdata.worldpop.org

Tags

preEnumeration Area, National Sampling Frame, Dataset

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