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Home Crime in the U.S. 2019 Crime in the U.S. 2019 Tables Table 75 Table 75 Data Declaration

Table 75 Data Declaration

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Full-time Civilian Law Enforcement Employees, by Population Group, Percent of Total, 2019

The FBI collects these data through the Uniform Crime Reporting (UCR) Program.

General comments

  • This table provides data about civilian employees in law enforcement agencies by population group.
  • Suburban areas include law enforcement agencies in cities with less than 50,000 inhabitants and county law enforcement agencies that are within a Metropolitan Statistical Area.
  • Suburban areas exclude all metropolitan agencies associated with a principal city. The agencies associated with suburban areas also appear in other groups within this table.

Methodology

  • The information in this table is derived from civilian employee counts (as of October 31, 2019) submitted by participating agencies.
  • Civilian employees include full-time agency personnel such as clerks, radio dispatchers, meter attendants, stenographers, jailers, correctional officers, and mechanics.

Population groups

The UCR Program uses the following population group designations:

Population Group 

Political Label 

Population Range 

City 

250,000 and more 

II 

City 

100,000 to 249,999 

III 

City 

50,000 to 99,999 

IV 

City 

25,000 to 49,999 

City 

10,000 to 24,999 

VI1,2 

City 

Less than 10,000 

VIII (Nonmetropolitan County)2 

County 

N/A 

IX (Metropolitan County)2 

County 

N/A 

1Includes universities and colleges, to which no population is attributed.

2Includes state police, to which no population is attributed.

Population estimation

For the 2019 population estimates used in this table, the FBI computed individual rates of growth from one year to the next for every city/town and county using 2010 decennial population counts and 2011 through 2018 population estimates from the U.S. Census Bureau. Each agency’s rates of growth were averaged; that average was then applied and added to its 2018 Census population estimate to derive the agency’s 2019 population estimate.