2021 SAG Award Winners

National Institute of Statistics of Rwanda (NISR)

Project Goal

The National Institute of Statistics of Rwanda (NISR) is planning to conduct the 5th Population and Housing Census in 2022. In the preparation of this exercise, the population of the whole country needed to be mapped as close to the reality as possible.
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Business Problem Solved

A Population and Housing Census consists of counting the whole population within a given time, 15 days for the Rwandan case. To know the exact number of personnel to be hired to conduct the census within the given time, materials and other logistics, is the main problem that the census mapping comes to solve. The census mapping outcomes with a mapping of the location of the existing population and divides the country into small Enumeration Area (EA), equal household numbers and manageable in size to be used as counting units during the data collection for the census. Each EA with clear boundary and manageable household number has to be assigned to one enumerator.
Between two censuses (10 years), different surveys are done by NISR. The Census Mapping builds a database with geographic locations of all housing units of the country and updates the administrative boundary database of the country which are used for sampling frames for other surveys.

Technology Implemented

ArcGIS Survey123, ArcGIS Collector, ArcGIS Pro, ArcGIS Dashboard within an ArcGIS Enterprise environment.

Development Team Biography

BIGIRIMANA Florent, Census Program Manager, background study in Geography and Geo Information Science, working with NISR since 2008;
BIZIMUNGU Clement, GIS Team Leader, with background studies in Geography and Education, and 13 years’ experience with NISR;
KARERA Albert, MBANGUTSE Olivier, MUNDERE Theophile, IRAMBONA Eddy Mercus, NTAWIHA Athanasie,
Geographers working as GIS Staff with working experience ranging from 8 to 15 years;
KICONCO Jovia, NIYITEGEKA Beatha, MUHIRE Olympe, and NDAZIGARUE Alfred, working as GIS support staff for the project.
In Addition to office staff, a team of 177 field work staff worked for field data collection for a period of 6 months.