Data

U. Wisconsin-Platteville
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 79 | i | 83 | 166 | 246 | 101 | 129 | 135 | 121 | 118 | 95 | |||||||||
Female | 38 | i | 41 | 127 | 157 | 19 | 18 | 19 | 20 | 12 | 9 | |||||||||
U.S. citizens and permanent residents | 117 | i | 124 | 291 | 399 | 120 | 147 | 154 | 141 | 126 | 87 | |||||||||
Hispanic or Latino | 4 | i | 4 | 5 | 6 | 6 | 5 | 7 | 10 | 6 | 0 | |||||||||
Not Hispanic or Latino | 102 | i | 109 | 267 | 374 | 113 | 137 | 138 | 123 | 108 | 84 | |||||||||
American Indian or Alaska Native | 0 | i | 0 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | |||||||||
Asian | 0 | i | 0 | 2 | 5 | 10 | 9 | 7 | 3 | 3 | 0 | |||||||||
Black or African American | 5 | i | 5 | 19 | 35 | 10 | 14 | 12 | 7 | 6 | 3 | |||||||||
Native Hawaiian or Other Pacific Islander | 0 | i | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |||||||||
White | 84 | i | 91 | 213 | 296 | 92 | 114 | 118 | 111 | 99 | 79 | |||||||||
More than one race | 13 | i | 13 | 32 | 36 | 0 | 0 | 1 | 0 | 0 | 1 | |||||||||
Unknown ethnicity and race | 11 | i | 11 | 19 | 19 | 1 | 5 | 9 | 8 | 12 | 3 | |||||||||
Temporary visa holders | 0 | i | 0 | 2 | 4 | 0 | 0 | 0 | 0 | 4 | 17 | |||||||||
Science and engineering | 117 | i | 124 | 293 | 403 | 120 | 147 | 154 | 141 | 130 | 104 | |||||||||
Science | 49 | i | 53 | 158 | 198 | 1 | 0 | 3 | 1 | 3 | 3 | |||||||||
Agricultural and veterinary sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Biological and biomedical sciences | 5 | i | 5 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Communication | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Computer and information sciences | 5 | i | 5 | 9 | 3 | 1 | 0 | 3 | 1 | 3 | 3 | |||||||||
Family and consumer sciences and human sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Geosciences, atmospheric, and ocean sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Mathematics and statistics | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Multidisciplinary and interdisciplinary sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Natural resources and conservation | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Physical sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Psychology | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Social sciences | 39 | i | 43 | 145 | 191 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Engineering | 68 | i | 71 | 135 | 205 | 119 | 147 | 151 | 140 | 127 | 101 | |||||||||
Aerospace, aeronautical, and astronautical engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Biological, biomedical, and biosystems engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Chemical, petroleum, and chemical-related engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Civil, environmental, transportation and related engineering fields | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Electrical, electronics, communications and computer engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Mechanical engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Metallurgical, mining, materials and related engineering fields | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Other engineering | 68 | i | 71 | 135 | 205 | 119 | 147 | 151 | 140 | 127 | 101 | |||||||||
Clinical medicine | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Other health | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
i=imputed
NOTES:
- . = data were not collected at this level or institution was not eligible to participate for this survey year.
- Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).