Data

U. Wisconsin-Milwaukee
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 211 | 177 | 202 | 186 | 215 | 307 | 291 | 334 | 311 | 349 | ||||||||||
Female | 210 | 213 | 211 | 194 | 230 | 238 | 282 | 313 | 263 | 277 | ||||||||||
U.S. citizens and permanent residents | 332 | 336 | 376 | 347 | 409 | 403 | 435 | 479 | 424 | 452 | ||||||||||
Hispanic or Latino | 28 | 32 | 23 | 25 | 33 | 10 | 9 | 10 | 5 | 2 | ||||||||||
Not Hispanic or Latino | 290 | 302 | 346 | 320 | 373 | 383 | 423 | 466 | 418 | 444 | ||||||||||
American Indian or Alaska Native | 1 | 2 | 2 | 1 | 4 | 2 | 1 | 1 | 1 | 0 | ||||||||||
Asian | 23 | 14 | 21 | 21 | 25 | 23 | 21 | 19 | 18 | 22 | ||||||||||
Black or African American | 30 | 26 | 25 | 27 | 23 | 22 | 25 | 28 | 18 | 23 | ||||||||||
Native Hawaiian or Other Pacific Islander | 1 | 1 | 1 | 1 | 0 | 2 | 2 | 4 | 1 | 4 | ||||||||||
White | 235 | 242 | 280 | 255 | 304 | 299 | 347 | 377 | 359 | 380 | ||||||||||
More than one race | 0 | 17 | 17 | 15 | 17 | 35 | 27 | 37 | 21 | 15 | ||||||||||
Unknown ethnicity and race | 14 | 2 | 7 | 2 | 3 | 10 | 3 | 3 | 1 | 6 | ||||||||||
Temporary visa holders | 89 | 54 | 37 | 33 | 36 | 142 | 138 | 168 | 150 | 174 | ||||||||||
Science and engineering | 370 | 335 | 341 | 322 | 365 | 488 | 477 | 573 | 511 | 579 | ||||||||||
Science | 327 | 287 | 288 | 249 | 289 | 337 | 325 | 407 | 353 | 407 | ||||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 22 | 0 | ||||||||||
Biological and biomedical sciences | 3 | 2 | 2 | 3 | 2 | 19 | 14 | 28 | 34 | 54 | ||||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 32 | 42 | ||||||||||
Computer and information sciences | 146 | 84 | 93 | 81 | 92 | 68 | 59 | 51 | 35 | 33 | ||||||||||
Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Geosciences, atmospheric, and ocean sciences | 3 | 2 | 1 | 1 | 4 | 12 | 8 | 7 | 9 | 39 | ||||||||||
Mathematics and statistics | 17 | 6 | 2 | 3 | 4 | 10 | 11 | 22 | 12 | 15 | ||||||||||
Multidisciplinary and interdisciplinary sciences | 7 | 9 | 2 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | ||||||||||
Natural resources and conservation | 9 | 15 | 10 | 11 | 12 | 20 | 17 | 0 | 0 | 0 | ||||||||||
Physical sciences | 2 | 2 | 5 | 5 | 4 | 27 | 31 | 31 | 29 | 32 | ||||||||||
Psychology | 64 | 66 | 69 | 50 | 85 | 53 | 68 | 71 | 52 | 54 | ||||||||||
Social sciences | 76 | 101 | 104 | 92 | 85 | 128 | 116 | 153 | 127 | 138 | ||||||||||
Engineering | 43 | 48 | 53 | 73 | 76 | 151 | 152 | 166 | 158 | 172 | ||||||||||
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 | 1 | 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 | 42 | 48 | 53 | 73 | 76 | 151 | 152 | 166 | 158 | 172 | ||||||||||
Health | 51 | 55 | 72 | 58 | 80 | 57 | 96 | 74 | 63 | 47 | ||||||||||
Clinical medicine | 20 | 20 | 35 | 18 | 23 | 24 | 22 | 23 | 5 | 9 | ||||||||||
Other health | 31 | 35 | 37 | 40 | 57 | 33 | 74 | 51 | 58 | 38 |
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).