Table 13 Data Declaration
Crime Trends, by Suburban and Nonsuburban Cities by Population Group, 2016–2017
The FBI collects these data through the Uniform Crime Reporting (UCR) Program.
Important note about rape data
In 2013, the FBI’s UCR Program initiated the collection of rape data under a revised definition within the Summary Reporting System. The term “forcible” was removed from the offense name, and the definition was changed to “Penetration, no matter how slight, of the vagina or anus with any body part or object, or oral penetration by a sex organ of another person, without the consent of the victim.”
In 2016, the FBI Director approved the recommendation to discontinue the reporting of rape data using the UCR legacy definition beginning in 2017.
General comments
- This 2-year trend table provides the number of offenses for 2016 and 2017 and the percent change between these 2 years for suburban and nonsuburban cities.
- Suburban cities include law enforcement agencies in cities with less than 50,000 inhabitants that are within a Metropolitan Statistical Area (MSA) but exclude all metropolitan agencies associated with a principal city.
- Nonsuburban cities include law enforcement agencies in cities with less than 50,000 in population that are not associated with an MSA.
Methodology
- The data used in creating this table were from all law enforcement agencies submitting at least 6 common months of complete offense reports for 2016 and 2017. If the FBI determines certain variables have created unusual fluctuations in the data, those data are excluded from the tabulations.
- A crime trend represents the percentage change in crime based on data reported in a prior equivalent period. In calculating trends, the UCR Program includes only common reported months for individual agencies.
- The rape data reported by those agencies using the UCR legacy definition for either 2016, 2017, or both years are not included in the trend tables 12-15. This includes 1,164 agencies with a total population of 18,671,578.
- The percent changes shown for the offense of rape are based on data from those agencies that submitted rape data according to the UCR revised definition for both 2016 and 2017 as well as converted data from agencies that reported data for rape, sodomy, and sexual assault with an object via the NIBRS for both years.
- The following table provides the actual number of reporting agencies and populations covered for rape.
Populations used to calculate rape rates |
||
Population Group |
Agencies using the revised UCR rape definition |
|
Agency count |
Population |
|
Total Suburban Cities |
6,158 |
56,954,580 |
IV (25,000 to 49,999 inhabitants) |
660 |
22,746,183 |
V (10,000 to 24,999 inhabitants) |
1,293 |
20,752,651 |
VI (Less than 10,000 inhabitants) |
4,205 |
13,455,746 |
Total Nonsuburban Cities |
3,435 |
19,698,034 |
IV (25,000 to 49,999 inhabitants) |
163 |
5,847,575 |
V (10,000 to 24,999 inhabitants) |
384 |
6,026,740 |
VI (Less than 10,000 inhabitants) |
2,888 |
7,823,719 |
1Suburban cities include law enforcement agencies in cities with less than 50,000 inhabitants that are within a Metropolitan Statistical Area. Suburban cities exclude all metropolitan agencies associated with a principal city. Nonsuburban cities include law enforcement agencies in cities with less than 50,000 inhabitants that are not associated with a Metropolitan Statistical Area.
Population groups
The UCR Program uses the following population group designations:
Population Group |
Political Label |
Population Range |
I |
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 |
V |
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 2017 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 2016 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 2016 Census population estimate to derive the agency’s 2017 population estimate.