Data

Oakland U.
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 274 | 290 | 297 | 311 | 320 | 314 | 303 | 273 | 255 | 254 | ||||||||||
Female | 247 | 233 | 218 | 213 | 250 | 235 | 261 | 248 | 225 | 218 | ||||||||||
U.S. citizens and permanent residents | 258 | 270 | 274 | 289 | 290 | 286 | 308 | 283 | 292 | 294 | ||||||||||
Hispanic or Latino | 14 | 13 | 14 | 10 | 12 | 8 | 6 | 5 | 4 | 9 | ||||||||||
Not Hispanic or Latino | 238 | 252 | 257 | 275 | 272 | 269 | 287 | 260 | 267 | 265 | ||||||||||
American Indian or Alaska Native | 1 | 1 | 1 | 1 | 2 | 2 | 2 | 1 | 2 | 1 | ||||||||||
Asian | 27 | 27 | 24 | 23 | 27 | 24 | 26 | 21 | 17 | 24 | ||||||||||
Black or African American | 16 | 17 | 17 | 24 | 25 | 20 | 22 | 21 | 24 | 21 | ||||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
White | 184 | 200 | 208 | 222 | 213 | 214 | 230 | 212 | 219 | 218 | ||||||||||
More than one race | 10 | 7 | 7 | 5 | 5 | 9 | 7 | 5 | 5 | 1 | ||||||||||
Unknown ethnicity and race | 6 | 5 | 3 | 4 | 6 | 9 | 15 | 18 | 21 | 20 | ||||||||||
Temporary visa holders | 263 | 253 | 241 | 235 | 280 | 263 | 256 | 238 | 188 | 178 | ||||||||||
Science and engineering | 454 | 455 | 452 | 478 | 530 | 498 | 447 | 466 | 423 | 437 | ||||||||||
Science | 282 | 266 | 247 | 253 | 264 | 242 | 217 | 271 | 233 | 275 | ||||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Biological and biomedical sciences | 76 | 77 | 73 | 70 | 63 | 51 | 43 | 37 | 39 | 45 | ||||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | 19 | ||||||||||
Computer and information sciences | 131 | 107 | 82 | 95 | 106 | 98 | 81 | 102 | 53 | 79 | ||||||||||
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 | 22 | 21 | 26 | 23 | 24 | 24 | 26 | 24 | 28 | 25 | ||||||||||
Multidisciplinary and interdisciplinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Physical sciences | 30 | 27 | 28 | 23 | 24 | 17 | 16 | 12 | 18 | 21 | ||||||||||
Psychology | 22 | 33 | 32 | 37 | 42 | 46 | 44 | 38 | 31 | 25 | ||||||||||
Social sciences | 1 | 1 | 6 | 5 | 5 | 6 | 7 | 49 | 53 | 61 | ||||||||||
Engineering | 172 | 189 | 205 | 225 | 266 | 256 | 230 | 195 | 190 | 162 | ||||||||||
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 | 83 | 96 | 101 | 90 | 111 | 99 | 90 | 86 | 79 | 62 | ||||||||||
Industrial, manufacturing, systems engineering and operations research | 26 | 24 | 29 | 33 | 39 | 33 | 25 | 8 | 14 | 21 | ||||||||||
Mechanical engineering | 63 | 69 | 75 | 102 | 116 | 124 | 115 | 101 | 97 | 79 | ||||||||||
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 | 67 | 68 | 63 | 46 | 40 | 51 | 117 | 55 | 57 | 35 | ||||||||||
Clinical medicine | 53 | 51 | 50 | 39 | 36 | 34 | 29 | 33 | 23 | 0 | ||||||||||
Other health | 14 | 17 | 13 | 7 | 4 | 17 | 88 | 22 | 34 | 35 |
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).