staff report memo
WS - E - Analysis of Police Department Staffing
Page 9 of 26
Text from the PDF text layer; check the PDF for anything that matters.Table 1: ICMA Police Staffing Data Analysis
Variable Descriptives Mean Minimum Maximum
Population 67,745.7 5,417.0 83,3024.0
Officers per 100,000 Population 201.2 35.3 465.1
Patrol Percent 66.1 32.4 96.8
Index Crime Rate, per 100,000 3,235.1 405.0 9,418.8
VCR (Violent crime rate, per 100,000) 349.3 12.5 1,415.4
PCR (Property crime rate, per 100,000) 2,885.9 379.7 8,111.6
CFS Rate 1,004.8 2.2 6,894.2
Avg. Service Time Police CFS 17.7 8.1 47.3
Avg. Service Time Public CFS 28.7 16.0 42.9
Avg. # of Responding Units Police CFS 1.2 1.0 1.6
Avg. # of Responding Units Public CFS 1.6 1.2 2.2
Total Service Time Police CFS (officer min.) 22.1 9.7 75.7
Total Service Time Public CFS (officer-min.) 48.0 23.6 84.0
Workload Percent Weekdays Winter 26.6 5.0 48.0
Workload Percent Weekends Winter 28.4 4.0 52.0
Workload Percent Weekdays Summer 28.7 6.0 50.0
Workload Percent Weekends Summer 31.8 5.0 53.0
Average Response Time Winter 11.0 3.1 26.9
Average Response Time Summer 11.2 2.4 26.0
While Table 1 provides a list of all the variables that might be examined by ICMA, different
studies call for different data, and some data are not available in every community. Population is
the first variable, which ranges from more than 800,000 to under 6,000, with a mean of 67,746.
The staffing figures were transformed into number of officers per 100,000 population, and while
not a useful tool for staffing decisions, it is a useful conversion for analysis. Population
influences many variables in this data set; therefore, it is important to control for population size
by transforming variables into rates to improve the analysis. For example, the table shows the
number of officers per 100,000 and the percentage of offices on patrol compared to the total
number of officers in the department.
Other variables used in the analysis are the FBI’s Uniform Crime Reporting (UCR) index
crime rates, and the rate of 911 calls for service (CFS) per 1,000 population. Workload and CFS
processing data are key elements as well. Service time represents the number of minutes required
to handle the average CFS, Responding units is the average number of police units assigned to a
CFS, and Total Service Time is the total number of officer-minutes needed to handle a CFS
(number of officers multiplied by the number of minutes). These variables are categorized
separately by CFS received directly from the public (labeled “public”), and CFS initiated by the
9
Sources
- sharepoint (WS - E - Analysis of Police Department Staffing.pdf) — where it was found ↗ first seen Oct 12, 2026
Data last updated October 15, 2026. Built from the archive's documents; see how the data is built.