A respected organization with extensive national and regional experience in housing policy and neighborhood improvement needed structured survey data to describe rental prices in a target area. The project sought to use the economic survey as the sole source of information in order to shorten timelines, reduce costs and improve quality.
Technical teams participated in structuring and reviewing the final interview instruments and the supporting information used by field technicians observing the buildings. Properties offered for rent in the same area were also identified, and a telephone data-collection process was designed to confirm consistency with the field observations. A database containing nearly one thousand unique records was processed, prepared and structured for analysis and visualization in a business-intelligence platform.
The resulting charts and visualizations presented average rental prices both per dwelling and per square meter, grouped by the different environments within the study area. They also compared average rent across variables that could affect it, including dwelling size, lot size, floor level and construction condition.