EASI Profile Analysis is similar to a Rank Analysis with two important differences:
Profiles are determined by concentration (the value of the variable(s) compared to the population), while a Rank Analysis uses the raw values of the selected variable.
Profiles allow up to five variables to be applied to the comparison instead of the single variable used in a Rank Analysis. Any combination of variables is allowed in a Profile and each of the variables can be weighted to reflect its relative importance to the analysis as a whole.
To generate an EASI Profile Analysis:
Select a Geography to Rank - Choose one of States, CBSAs, Counties, Cities, ZIP Codes, Census Tracts or Block Groups.
Select up to 9 States - To limit the ranking to one group of States containing up to nine members, select the checkbox next to Analyze Selected States. Select a State and holding the control key, select all the other States to be included in the ranking. Limiting the number of States analyzed can speed the creation of the report, particularly when using smaller geographies such as ZIP Codes. When using Census Tracts or Block Groups as the geography to be ranked, only 3 States may be analyzed.
Create a Profile - A profile is a variable and weight (or group of up to 5 variables and weights).
Existing Profiles - (paid subscribers only) are shown in the drop down listing and can be included or deleted on this page.
Variables are added to the profile using the guidelines shown on the page. Add Variables includes the selected variable(s) as part of the profile. Clear Variables removes ALL the variables in the profile. Variables from multiple variable types may be included in a single profile.
Select a Variable Type - There are up to 23 broad categories of variables available for profiles, depending on subscription level. Types of variables range from population characteristics to quality of life. Many categories have either broadly grouped statistics or detailed statistics for specific variables.
Select a Variable - Choose the specific variable(s) on which to profile the selected geography.
The selected variables can be weighted to reflect their relative contribution to the overall value derived for the profile. For instance, if Household Income was half as important as the EASI Quality of Life Index, Household Income could be weighted as ".5"and Quality of Life weighted as "1." Variables can be weighted with negative numbers to indicate a negative value for them. For example, if rural areas were preferred over urban areas, the Rural Population could be included with a positive weight, OR the Urban Population could be included with a negative weight. Weight values must be between "-9.9" and "9.9".
Select Profile Options:
Display High to Low and Display Low to High set the order of the display in the ranking. Records to Display controls the number of lines presented in the report and can be any number up to 999. The checking the box Include Profile Fields in Report will cause the values for each of the variables in the profile to be included in columns in the report. Save Profile As (paid subscribers only) will store the profile under the name given in the input box. Stored profiles can be reused alone or in combination with new variables or other changes in the profile.
Create Profile - Builds the report for the selected geography and variables. The report generated for an EASI Profile Analysis has an additional column of data called Intensity representing how closely each area matches a perfect score for the chosen profile. The highest possible intensity score is 100, which would mean that the EASI Rank for every factor in the user profile is 1 for a given area. As more variables are added to the User Profile, the likelihood of this outcome diminishes. A high intensity score represents a high concentration of a variable within an area but does not necessarily imply a high quantity. The relative intensity of one area compared to another is more important than simply the numeric value.
Refer to Printing or Exporting Reports for more information on using the information in the resulting report.