Data

Ohio U.
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 266 | 269 | 273 | 284 | 451 | 496 | 450 | 422 | 367 | 347 | ||||||||||
Female | 287 | 265 | 192 | 190 | 204 | 185 | 128 | 164 | 173 | 203 | ||||||||||
U.S. citizens and permanent residents | 491 | 487 | 394 | 413 | 569 | 556 | 471 | 462 | 442 | 454 | ||||||||||
Hispanic or Latino | 49 | 32 | 35 | 31 | 50 | 36 | 33 | 30 | 27 | 21 | ||||||||||
Not Hispanic or Latino | 430 | 440 | 346 | 366 | 492 | 494 | 414 | 406 | 392 | 403 | ||||||||||
American Indian or Alaska Native | 2 | 2 | 1 | 2 | 0 | 1 | 4 | 4 | 4 | 2 | ||||||||||
Asian | 20 | 24 | 22 | 20 | 30 | 31 | 28 | 24 | 18 | 24 | ||||||||||
Black or African American | 66 | 58 | 26 | 24 | 45 | 47 | 33 | 33 | 36 | 33 | ||||||||||
Native Hawaiian or Other Pacific Islander | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | ||||||||||
White | 323 | 343 | 292 | 310 | 407 | 396 | 340 | 337 | 327 | 337 | ||||||||||
More than one race | 18 | 12 | 5 | 10 | 10 | 19 | 8 | 7 | 7 | 6 | ||||||||||
Unknown ethnicity and race | 12 | 15 | 13 | 16 | 27 | 26 | 24 | 26 | 23 | 30 | ||||||||||
Temporary visa holders | 62 | 47 | 71 | 61 | 86 | 125 | 107 | 124 | 98 | 96 | ||||||||||
Science and engineering | 436 | 411 | 450 | 463 | 640 | 673 | 568 | 574 | 528 | 537 | ||||||||||
Science | 299 | 264 | 263 | 260 | 227 | 234 | 155 | 217 | 224 | 267 | ||||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Biological and biomedical sciences | 12 | 13 | 10 | 13 | 25 | 17 | 8 | 12 | 9 | 11 | ||||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 62 | 54 | ||||||||||
Computer and information sciences | 5 | 6 | 5 | 11 | 16 | 23 | 8 | 4 | 4 | 8 | ||||||||||
Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | ||||||||||
Geosciences, atmospheric, and ocean sciences | 32 | 38 | 36 | 27 | 2 | 4 | 1 | 16 | 13 | 10 | ||||||||||
Mathematics and statistics | 2 | 2 | 1 | 2 | 4 | 7 | 4 | 5 | 6 | 5 | ||||||||||
Multidisciplinary and interdisciplinary sciences | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Natural resources and conservation | 18 | 13 | 2 | 1 | 3 | 5 | 4 | 0 | 0 | 0 | ||||||||||
Physical sciences | 161 | 131 | 143 | 130 | 79 | 27 | 17 | 16 | 20 | 18 | ||||||||||
Psychology | 23 | 17 | 14 | 12 | 14 | 13 | 23 | 21 | 17 | 21 | ||||||||||
Social sciences | 46 | 43 | 52 | 64 | 84 | 138 | 90 | 100 | 91 | 139 | ||||||||||
Engineering | 137 | 147 | 187 | 203 | 413 | 439 | 413 | 357 | 304 | 270 | ||||||||||
Aerospace, aeronautical, and astronautical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Biological, biomedical, and biosystems engineering | 1 | 2 | 2 | 1 | 0 | 5 | 1 | 0 | 0 | 0 | ||||||||||
Chemical, petroleum, and chemical-related engineering | 9 | 10 | 11 | 11 | 13 | 10 | 8 | 11 | 10 | 8 | ||||||||||
Civil, environmental, transportation and related engineering fields | 47 | 35 | 46 | 52 | 76 | 87 | 86 | 96 | 67 | 47 | ||||||||||
Electrical, electronics, communications and computer engineering | 65 | 86 | 112 | 119 | 127 | 135 | 133 | 94 | 101 | 57 | ||||||||||
Industrial, manufacturing, systems engineering and operations research | 1 | 2 | 1 | 4 | 6 | 7 | 6 | 147 | 121 | 150 | ||||||||||
Mechanical engineering | 2 | 2 | 3 | 3 | 5 | 3 | 2 | 9 | 5 | 8 | ||||||||||
Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
Other engineering | 12 | 10 | 12 | 13 | 186 | 192 | 177 | 0 | 0 | 0 | ||||||||||
Health | 117 | 123 | 15 | 11 | 15 | 8 | 10 | 12 | 12 | 13 | ||||||||||
Clinical medicine | 104 | 112 | 10 | 4 | 10 | 2 | 2 | 4 | 8 | 9 | ||||||||||
Other health | 13 | 11 | 5 | 7 | 5 | 6 | 8 | 8 | 4 | 4 |
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).