Data

Western Michigan U.
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 39 | 49 | 64 | 82 | 179 | 225 | 206 | 236 | 210 | 192 | ||||||||||
Female | 49 | 65 | 82 | 84 | 113 | 152 | 154 | 165 | 169 | 195 | ||||||||||
U.S. citizens and permanent residents | 71 | 93 | 130 | 122 | 185 | 206 | 231 | 296 | 293 | 329 | ||||||||||
Hispanic or Latino | 6 | 6 | 13 | 7 | 8 | 18 | 14 | 14 | 15 | 13 | ||||||||||
Not Hispanic or Latino | 65 | 87 | 117 | 115 | 176 | 187 | 214 | 280 | 273 | 309 | ||||||||||
American Indian or Alaska Native | 1 | 2 | 1 | 1 | 2 | 2 | 1 | 2 | 2 | 2 | ||||||||||
Asian | 1 | 2 | 4 | 5 | 7 | 3 | 5 | 6 | 7 | 12 | ||||||||||
Black or African American | 8 | 8 | 14 | 20 | 27 | 30 | 27 | 32 | 32 | 41 | ||||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||||||||||
White | 53 | 72 | 95 | 87 | 139 | 150 | 174 | 234 | 226 | 248 | ||||||||||
More than one race | 2 | 3 | 3 | 2 | 1 | 2 | 7 | 6 | 5 | 6 | ||||||||||
Unknown ethnicity and race | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 2 | 5 | 7 | ||||||||||
Temporary visa holders | 17 | 21 | 16 | 44 | 107 | 171 | 129 | 105 | 86 | 58 | ||||||||||
Science and engineering | 76 | 91 | 120 | 142 | 276 | 348 | 342 | 379 | 362 | 366 | ||||||||||
Science | 59 | 62 | 86 | 86 | 160 | 207 | 230 | 278 | 285 | 300 | ||||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Biological and biomedical sciences | 8 | 6 | 8 | 3 | 7 | 10 | 15 | 13 | 11 | 14 | ||||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 8 | ||||||||||
Computer and information sciences | 8 | 4 | 7 | 11 | 19 | 32 | 31 | 25 | 20 | 16 | ||||||||||
Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Geosciences, atmospheric, and ocean sciences | 4 | 6 | 9 | 7 | 15 | 24 | 24 | 17 | 18 | 17 | ||||||||||
Mathematics and statistics | 1 | 1 | 6 | 1 | 6 | 4 | 15 | 8 | 12 | 11 | ||||||||||
Multidisciplinary and interdisciplinary sciences | 7 | 4 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | ||||||||||
Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Physical sciences | 0 | 1 | 2 | 4 | 6 | 18 | 13 | 5 | 10 | 9 | ||||||||||
Psychology | 29 | 37 | 48 | 49 | 74 | 83 | 96 | 81 | 87 | 97 | ||||||||||
Social sciences | 2 | 3 | 4 | 8 | 32 | 35 | 36 | 123 | 121 | 128 | ||||||||||
Engineering | 17 | 29 | 34 | 56 | 116 | 141 | 112 | 101 | 77 | 66 | ||||||||||
Aerospace, aeronautical, and astronautical engineering | 1 | 0 | 1 | 3 | 0 | 1 | 2 | 1 | 1 | 0 | ||||||||||
Biological, biomedical, and biosystems engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Chemical, petroleum, and chemical-related engineering | 0 | 2 | 3 | 2 | 5 | 6 | 13 | 2 | 2 | 0 | ||||||||||
Civil, environmental, transportation and related engineering fields | 3 | 1 | 0 | 0 | 11 | 19 | 14 | 11 | 2 | 5 | ||||||||||
Electrical, electronics, communications and computer engineering | 0 | 3 | 7 | 10 | 19 | 32 | 30 | 32 | 35 | 24 | ||||||||||
Industrial, manufacturing, systems engineering and operations research | 7 | 8 | 5 | 29 | 45 | 47 | 28 | 21 | 9 | 13 | ||||||||||
Mechanical engineering | 6 | 15 | 18 | 12 | 32 | 32 | 23 | 28 | 18 | 20 | ||||||||||
Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 3 | ||||||||||
Other engineering | 0 | 0 | 0 | 0 | 4 | 4 | 2 | 3 | 5 | 1 | ||||||||||
Health | 12 | 23 | 26 | 24 | 16 | 29 | 18 | 22 | 17 | 21 | ||||||||||
Clinical medicine | 8 | 9 | 15 | 4 | 2 | 1 | 1 | 22 | 17 | 21 | ||||||||||
Other health | 4 | 14 | 11 | 20 | 14 | 28 | 17 | 0 | 0 | 0 |
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).