Data

U. Detroit Mercy
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 54 | 72 | i | 70 | 111 | 125 | 123 | 104 | 131 | 134 | 122 | |||||||||
Female | 27 | 39 | i | 40 | 46 | 50 | 49 | 68 | 78 | 101 | 74 | |||||||||
U.S. citizens and permanent residents | 39 | 51 | i | 51 | 57 | 58 | 74 | 91 | 105 | 112 | 106 | |||||||||
Hispanic or Latino | 3 | 3 | i | 3 | 2 | 4 | 4 | 3 | 8 | 8 | 6 | |||||||||
Not Hispanic or Latino | 35 | 43 | i | 43 | 48 | 49 | 58 | 79 | 90 | 98 | 98 | |||||||||
American Indian or Alaska Native | 1 | 0 | i | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | |||||||||
Asian | 4 | 4 | i | 4 | 7 | 7 | 9 | 9 | 8 | 7 | 9 | |||||||||
Black or African American | 1 | 3 | i | 3 | 2 | 9 | 5 | 6 | 10 | 14 | 8 | |||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
White | 27 | 35 | i | 35 | 38 | 32 | 42 | 61 | 69 | 73 | 74 | |||||||||
More than one race | 2 | 1 | i | 1 | 1 | 1 | 1 | 2 | 3 | 4 | 7 | |||||||||
Unknown ethnicity and race | 1 | 5 | i | 5 | 7 | 5 | 12 | 9 | 7 | 6 | 2 | |||||||||
Temporary visa holders | 42 | 60 | i | 59 | 100 | 117 | 98 | 81 | 104 | 123 | 90 | |||||||||
Science and engineering | 67 | 86 | i | 85 | 132 | 150 | 148 | 149 | 184 | 210 | 171 | |||||||||
Science | 16 | 31 | i | 33 | 34 | 37 | 61 | 82 | 107 | 120 | 84 | |||||||||
Agricultural and veterinary sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Biological and biomedical sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Communication | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Computer and information sciences | 0 | 0 | i | 0 | 1 | 9 | 19 | 0 | 7 | 8 | 3 | |||||||||
Family and consumer sciences and human sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Geosciences, atmospheric, and ocean sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Mathematics and statistics | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Multidisciplinary and interdisciplinary sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Natural resources and conservation | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Physical sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 1 | 3 | 2 | 3 | |||||||||
Psychology | 9 | 11 | i | 11 | 16 | 11 | 13 | 61 | 64 | 76 | 74 | |||||||||
Social sciences | 7 | 20 | i | 22 | 17 | 17 | 29 | 20 | 33 | 34 | 4 | |||||||||
Engineering | 51 | 55 | i | 52 | 98 | 113 | 87 | 67 | 77 | 90 | 87 | |||||||||
Aerospace, aeronautical, and astronautical engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Biological, biomedical, and biosystems engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Chemical, petroleum, and chemical-related engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Civil, environmental, transportation and related engineering fields | 12 | 10 | i | 10 | 8 | 11 | 10 | 19 | 21 | 42 | 48 | |||||||||
Electrical, electronics, communications and computer engineering | 22 | 34 | i | 31 | 60 | 71 | 39 | 20 | 25 | 17 | 22 | |||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Mechanical engineering | 17 | 11 | i | 11 | 30 | 31 | 38 | 28 | 24 | 21 | 17 | |||||||||
Metallurgical, mining, materials and related engineering fields | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Other engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 7 | 10 | 0 | |||||||||
Health | 14 | 25 | i | 25 | 25 | 25 | 24 | 23 | 25 | 25 | 25 | |||||||||
Clinical medicine | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Other health | 14 | 25 | i | 25 | 25 | 25 | 24 | 23 | 25 | 25 | 25 |
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).