National automatic preEnumeration Areas (preEAs) in Burkina Faso (2019), version 1.0
National automatic preEnumeration Areas (preEAs) in Burkina Faso (2019), version 1.0
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.
preEnumeration Area, National Sampling Frame, Dataset
University of Southampton
Qader, Sarchil
b1afb647-aeff-4bb8-84f2-56865c4eb9e4
Harfoot, Andrew
88b7248e-c2b4-4980-aa62-834e780c3016
Kuepie, Mathias
ad3760a9-3068-4462-abd2-e7af9745ca38
Darin, Edith
868fa688-2567-4dbd-aa12-3dcc91f2aa8d
Juran, Sabrina
a215df1f-3de7-4330-9656-0b6f7aadcda5
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Qader, Sarchil
b1afb647-aeff-4bb8-84f2-56865c4eb9e4
Harfoot, Andrew
88b7248e-c2b4-4980-aa62-834e780c3016
Kuepie, Mathias
ad3760a9-3068-4462-abd2-e7af9745ca38
Darin, Edith
868fa688-2567-4dbd-aa12-3dcc91f2aa8d
Juran, Sabrina
a215df1f-3de7-4330-9656-0b6f7aadcda5
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Qader, Sarchil, Harfoot, Andrew, Kuepie, Mathias, Darin, Edith, Juran, Sabrina, Lazar, Attila and Tatem, Andrew
(2022)
National automatic preEnumeration Areas (preEAs) in Burkina Faso (2019), version 1.0.
University of Southampton
doi:10.5258/SOTON/WP00731
[Dataset]
Abstract
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.
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More information
Published date: 26 January 2022
Keywords:
preEnumeration Area, National Sampling Frame, Dataset
Identifiers
Local EPrints ID: 454125
URI: http://eprints.soton.ac.uk/id/eprint/454125
PURE UUID: fa02abb9-6221-4695-88a1-2c628b8db9c0
Catalogue record
Date deposited: 01 Feb 2022 17:31
Last modified: 06 May 2023 02:01
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Contributors
Creator:
Mathias Kuepie
Creator:
Sabrina Juran
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