Maximizing Efficiency Through GIS in the 2013 Population and Housing Census
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The 2013 Population and Housing Census
was the first census taken in The Gambia
where Geographic Information Systems (GIS)
technology was used.
GIS has efficiently enhanced the 2013 census
data collection and subsequent surveys. It has
enhanced easy access to enumeration areas
using geo-referenced maps and helped to
avoid missing out populated areas.
The mapping exercise precedes the census, where geocodes were
developed and planning maps were produced at ward level.
The base map obtained from the Department of Lands and Survey
was use as guide. The planning maps produced were given to the
field staff with Global Positioning System (GPS) receivers to collect
coordinates and other features in populated areas.
Enumeration Areas were delineated by the field staff on the basis of
approximately 500 persons. During the mapping exercise, the point
of entry for the field staff in the regions, districts, wards and
settlement were the heads.
These local authorities have cooperated with the mappers to ensure
a smooth and efficient field exercise.
Data entry clerks, editors and GIS staff were also
recruited to do the processing of the collected
geographic data at the office.
The updated maps were scanned and
georeferenced with the base map and then
digitized.
The completed forms from the field were entered
in CSPro which was later exported to Microsoft
excel and then imported to ArcGIS Desktop 10.0.
As part of quality assurance procedures the field
coordinators made monthly field visits with the
consultant to make sure the exercise was going well
and also to address some of the issues that do arise
sometime.
In addition, the field coordinators do download the
coordinates picked with GPS receivers and collect
completed forms.
The data entered from the completed forms and GPS
data were overlayed to do necessary correction
whenever the two datasets don’t overlay well.
EA maps and supervision area maps (SA) were
produced after the necessary editing and
processing for census.
The existing roads were updated using Google
earth. The use of this technology has helped the
office a lot to avoid overlaps during the census
enumeration.
In addition, the quick count of number of
households and population per EA were used as a
base to detect under count or over count.
The 2013 Population and Housing Census in The Gambia marked the first implementation of Geographic Information Systems (GIS) technology, streamlining data collection processes and ensuring comprehensive coverage of populated areas. GIS tools facilitated easy access to enumeration areas, data processing, and quality assurance through field visits and overlaying of GPS data. The use of GIS also enabled the production of updated maps, enhancing accuracy in census enumeration and avoiding overlaps. Overall, GIS played a pivotal role in optimizing the census operations and data analysis.
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Presentation Transcript
The 2013 Population and Housing Census was the first census taken in The Gambia where Geographic Information Systems (GIS) technology was used. GIS has efficiently enhanced the 2013 census data collection and subsequent surveys. It has enhanced easy access to enumeration areas using geo-referenced maps and helped to avoid missing out populated areas.
Data entry clerks, editors and GIS staff were also recruited to do the processing of the collected geographic data at the office. The updated maps were scanned and georeferenced with the base map and then digitized. The completed forms from the field were entered in CSPro which was later exported to Microsoft excel and then imported to ArcGIS Desktop 10.0.
As part of quality assurance procedures the field coordinators made monthly field visits with the consultant to make sure the exercise was going well and also to address some of the issues that do arise sometime. In addition, the field coordinators do download the coordinates picked with GPS receivers and collect completed forms. The data entered from the completed forms and GPS data were overlayed to do necessary correction whenever the two datasets don t overlay well.
EA maps and supervision area maps (SA) were produced after the necessary editing and processing for census. The existing roads were updated using Google earth. The use of this technology has helped the office a lot to avoid overlaps during the census enumeration. In addition, the quick count of number of households and population per EA were used as a base to detect under count or over count.
