Data

U. San Francisco
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 163 | 162 | 184 | 162 | 333 | 312 | 299 | 245 | 213 | 214 | ||||||||||
Female | 445 | 481 | 496 | 457 | 708 | 594 | 602 | 246 | 217 | 187 | ||||||||||
U.S. citizens and permanent residents | 481 | 487 | 534 | 494 | 809 | 712 | 717 | 237 | 203 | 218 | ||||||||||
Hispanic or Latino | 155 | 167 | 181 | 161 | 224 | 199 | 168 | 25 | 25 | 34 | ||||||||||
Not Hispanic or Latino | 281 | 312 | 348 | 326 | 558 | 480 | 487 | 192 | 154 | 158 | ||||||||||
American Indian or Alaska Native | 1 | 1 | 0 | 0 | 3 | 2 | 3 | 0 | 0 | 0 | ||||||||||
Asian | 67 | 88 | 85 | 85 | 143 | 135 | 147 | 56 | 43 | 38 | ||||||||||
Black or African American | 27 | 30 | 48 | 30 | 61 | 61 | 55 | 10 | 6 | 11 | ||||||||||
Native Hawaiian or Other Pacific Islander | 7 | 4 | 4 | 3 | 7 | 6 | 5 | 2 | 1 | 2 | ||||||||||
White | 149 | 154 | 172 | 176 | 298 | 236 | 229 | 112 | 96 | 95 | ||||||||||
More than one race | 30 | 35 | 39 | 32 | 46 | 40 | 48 | 12 | 8 | 12 | ||||||||||
Unknown ethnicity and race | 45 | 8 | 5 | 7 | 27 | 33 | 62 | 20 | 24 | 26 | ||||||||||
Temporary visa holders | 127 | 156 | 146 | 125 | 232 | 194 | 184 | 254 | 227 | 183 | ||||||||||
Science and engineering | 581 | 584 | 615 | 574 | 893 | 749 | 716 | 491 | 430 | 401 | ||||||||||
Science | 581 | 584 | 615 | 574 | 893 | 749 | 716 | 491 | 430 | 401 | ||||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 80 | 82 | ||||||||||
Biological and biomedical sciences | 31 | 29 | 28 | 32 | 55 | 36 | 37 | 50 | 43 | 40 | ||||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Computer and information sciences | 81 | 109 | 110 | 107 | 172 | 149 | 136 | 117 | 87 | 93 | ||||||||||
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 | 18 | 20 | 36 | 32 | 53 | 32 | 44 | 0 | 0 | 0 | ||||||||||
Natural resources and conservation | 11 | 10 | 3 | 16 | 67 | 76 | 81 | 0 | 0 | 0 | ||||||||||
Physical sciences | 0 | 0 | 0 | 0 | 11 | 8 | 9 | 9 | 11 | 9 | ||||||||||
Psychology | 381 | 356 | 359 | 320 | 364 | 294 | 254 | 0 | 0 | 0 | ||||||||||
Social sciences | 59 | 60 | 79 | 67 | 171 | 154 | 155 | 230 | 209 | 177 | ||||||||||
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 | 27 | 59 | 65 | 45 | 148 | 157 | 185 | 0 | 0 | 0 | ||||||||||
Clinical medicine | 25 | 52 | 64 | 43 | 125 | 125 | 148 | 0 | 0 | 0 | ||||||||||
Other health | 2 | 7 | 1 | 2 | 23 | 32 | 37 | 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).