Table 9
WISCONSIN
Offenses Known to Law Enforcement
by University and College, 2015
| University/College | Campus |
Student enrollment1 |
Violent crime |
Murder and nonnegligent manslaughter |
Rape (revised definition)2 |
Rape (legacy definition)3 |
Robbery |
Aggravated assault |
Property crime |
Burglary |
Larceny- theft |
Motor vehicle theft |
Arson |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| University of Wisconsin: | Eau Claire | 10,721 | 0 | 0 | 0 | 0 | 0 | 83 | 0 | 83 | 0 | 0 | |
| Green Bay | 6,927 | 1 | 1 | 0 | 0 | 0 | 12 | 0 | 12 | 0 | 0 | ||
| La Crosse | 10,669 | 1 | 0 | 1 | 0 | 0 | 79 | 0 | 79 | 0 | 0 | ||
| Madison | 42,598 | 7 | 0 | 3 | 1 | 3 | 244 | 18 | 225 | 1 | 0 | ||
| Milwaukee | 27,596 | 5 | 0 | 4 | 1 | 0 | 181 | 17 | 164 | 0 | 1 | ||
| Oshkosh | 14,541 | 7 | 0 | 7 | 0 | 0 | 63 | 5 | 58 | 0 | 5 | ||
| Parkside | 4,543 | 0 | 0 | 0 | 0 | 0 | 23 | 4 | 19 | 0 | 0 | ||
| Platteville | 8,901 | 5 | 0 | 5 | 0 | 0 | 58 | 5 | 52 | 1 | 0 | ||
| River Falls | 6,198 | 1 | 0 | 1 | 0 | 0 | 55 | 3 | 51 | 1 | 1 | ||
| Stevens Point | 9,330 | 1 | 0 | 1 | 0 | 0 | 47 | 1 | 46 | 0 | 1 | ||
| Stout | 9,394 | 5 | 0 | 3 | 0 | 2 | 70 | 8 | 62 | 0 | 0 | ||
| Superior | 2,600 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 15 | 1 | 0 | ||
| Whitewater | 12,176 | 3 | 0 | 1 | 1 | 1 | 62 | 9 | 51 | 2 | 0 |
- 1 The student enrollment figures provided by the United States Department of Education are for the 2014 school year, the most recent available. The enrollment figures include full-time and part-time students.
- 2 The figures shown in this column for the offense of rape were reported using the revised Uniform Crime Reporting (UCR) definition of rape. See the data declaration for further explanation.
- 3 The figures shown in this column for the offense of rape were reported using the legacy UCR definition of rape. See the data declaration for further explanation.
- NOTE: Caution should be exercised in making any intercampus comparisons or ranking schools because university/college crime statistics are affected by a variety of factors. These include demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of the campus to outside visitors, size of enrollment, etc.
Data Declaration
Provides the methodology used in constructing this table and other pertinent information about this table.
