Mapping Methodology
The population planning portion of this project was completed using an analysis within ArcGIS software, an ESRI product. This analysis combines several demographic layers into a "suitability analysis". See below for more detail about data sources, methodologies and the specific criteria used for each service line analysis.
DEMOGRAPHIC MAP DATA SOURCES
The following demographic maps were produced for each network using sources as noted:
Map:
Projected outpatient volume growth, 2024
Projected primary care physician need, 2024
Projected specialist physician need, 2024
Projected adult outpatient surgery volume growth, 2024
Projected outpatient emergency department volume growth, 2024
Projected inpatient behavioral health growth, 2024
PacificBlue Health patient density
Population density
Projected population growth, 2020
15-44 year old female density
Percent of population using employer provided insurance
Percent of population using medicare insurance
Percent of population using medicaid insurance
Percent of population 18-64 years old
Percent of population over 65 years old
Buffer from major retailers
Daytime population
Proportion of married households to other households
Median household income
Percent of population 0-18 years old
Percent of population using depression medication
Source:
Advisory Board, 2014
Advisory Board, 2014
Advisory Board, 2014
Advisory Board, 2014
Advisory Board, 2014
Advisory Board, 2014
PacificBlue Health, 2016
US Census, 2013
US Census, 2013
US Census, 2013
US Census, 2013
US Census, 2013
US Census, 2013
US Census, 2013
US Census, 2013
ESRI Business Analyst, NAICS, 2015
US Census, 2013
US Census 2013
ESRI, 2015
US Census, 2013
ESRI, 2015