Community Data Analytics
Community Data Analytics (CDA) is ESI’s latest suite of data products and services. CDA provides up-to-date customized demographic analyses and projections for communities. Supported by a team of experienced planners, analysts, modelers, and econometricians, CDA works with clients to analyze local demographic trends and provide demographic multipliers that
planning agencies, school districts, and fiscal specialists rely on for population forecasts and to understand projects’ fiscal, demographic, and traffic impact.
CDA uses the Planning Ratio Estimation Program (PREP) to collect and filter the data your community needs. PREP starts with selecting and joining housing and person records from the most current American Community Survey PUMS dataset (2010-2014), to create samples based on pre-established criteria such Newly Moved-in Household, 55+ Household, Transit Commuter, and so on. These reports are grouped into 54 housing configurations. A planning ratio is then computed as an average or median number per occupied housing unit for each configuration. PREP identifies the statistical relationship between an individual PUMA and its larger geographies and uses this relationship to generate the best estimates when
the sample size is not sufficient at the PUMA level.
Ensuring a community’s future success and development takes careful and accurate planning. Smart planning can only be effective when it’s based on the most up-to-date and precise data. CDA was created to provide this necessary and actionable recent data and insight into economic conditions and trends in communities across the United States. Its goal is to facilitate
better understanding of the current characteristics of a community, support decision-making, and allow you to plan with confidence. Stop settling for outdated information and let CDA help build your community’s future.
Presentations and Conference Updates: