Data

U. Wisconsin-Eau Claire
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 51 | 65 | 68 | 78 | 81 | 73 | 67 | 1 | 2 | 1 | ||||||||||
Female | 72 | 85 | 93 | 92 | 90 | 98 | 26 | 8 | 10 | 21 | ||||||||||
U.S. citizens and permanent residents | 118 | 143 | 150 | 159 | 157 | 161 | 89 | 9 | 12 | 22 | ||||||||||
Hispanic or Latino | 9 | 10 | 11 | 8 | 9 | 7 | 2 | 1 | 1 | 3 | ||||||||||
Not Hispanic or Latino | 107 | 130 | 137 | 151 | 148 | 152 | 87 | 8 | 11 | 19 | ||||||||||
American Indian or Alaska Native | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Asian | 13 | 15 | 9 | 14 | 14 | 7 | 7 | 0 | 1 | 1 | ||||||||||
Black or African American | 5 | 4 | 6 | 5 | 4 | 6 | 5 | 0 | 0 | 0 | ||||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
White | 88 | 110 | 121 | 129 | 126 | 136 | 75 | 8 | 10 | 18 | ||||||||||
More than one race | 1 | 1 | 1 | 3 | 4 | 3 | 0 | 0 | 0 | 0 | ||||||||||
Unknown ethnicity and race | 2 | 3 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | ||||||||||
Temporary visa holders | 5 | 7 | 11 | 11 | 14 | 10 | 4 | 0 | 0 | 0 | ||||||||||
Science and engineering | 77 | 88 | 104 | 113 | 118 | 112 | 92 | 8 | 12 | 8 | ||||||||||
Science | 77 | 88 | 104 | 113 | 118 | 112 | 92 | 8 | 12 | 8 | ||||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Biological and biomedical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Computer and information sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Geosciences, atmospheric, and ocean sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Multidisciplinary and interdisciplinary sciences | 64 | 80 | 87 | 99 | 106 | 101 | 82 | 0 | 0 | 0 | ||||||||||
Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Physical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Psychology | 13 | 8 | 17 | 14 | 12 | 11 | 10 | 8 | 12 | 8 | ||||||||||
Social sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Aerospace, aeronautical, and astronautical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Biological, biomedical, and biosystems engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Chemical, petroleum, and chemical-related engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Civil, environmental, transportation and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Electrical, electronics, communications and computer engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Mechanical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Other engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Health | 46 | 62 | 57 | 57 | 53 | 59 | 1 | 1 | 0 | 14 | ||||||||||
Clinical medicine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Other health | 46 | 62 | 57 | 57 | 53 | 59 | 1 | 1 | 0 | 14 |
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).