Data

U. Baltimore
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 49 | 49 | i | 49 | 54 | 54 | 53 | 51 | 111 | 121 | 118 | |||||||||
Female | 124 | 129 | i | 130 | 129 | 117 | 114 | 86 | 223 | 216 | 210 | |||||||||
U.S. citizens and permanent residents | 168 | 173 | i | 174 | 180 | 166 | 166 | 133 | 322 | 334 | 325 | |||||||||
Hispanic or Latino | 16 | 20 | i | 19 | 13 | 7 | 4 | 3 | 17 | 18 | 17 | |||||||||
Not Hispanic or Latino | 150 | 151 | i | 153 | 166 | 156 | 158 | 125 | 300 | 308 | 300 | |||||||||
American Indian or Alaska Native | 1 | 1 | i | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | |||||||||
Asian | 9 | 8 | i | 8 | 8 | 5 | 4 | 4 | 13 | 13 | 13 | |||||||||
Black or African American | 55 | 54 | i | 55 | 69 | 71 | 72 | 40 | 173 | 181 | 176 | |||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | i | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |||||||||
White | 81 | 84 | i | 85 | 83 | 73 | 76 | 76 | 105 | 106 | 103 | |||||||||
More than one race | 4 | 4 | i | 4 | 5 | 6 | 6 | 4 | 9 | 8 | 8 | |||||||||
Unknown ethnicity and race | 2 | 2 | i | 2 | 1 | 3 | 4 | 5 | 5 | 8 | 8 | |||||||||
Temporary visa holders | 5 | 5 | i | 5 | 3 | 5 | 1 | 4 | 12 | 3 | 3 | |||||||||
Science and engineering | 173 | 178 | i | 179 | 183 | 171 | 167 | 137 | 334 | 337 | 328 | |||||||||
Science | 173 | 178 | i | 179 | 183 | 171 | 167 | 137 | 334 | 337 | 328 | |||||||||
Agricultural and veterinary sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Biological and biomedical sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Communication | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Computer and information sciences | 60 | 65 | i | 57 | 54 | 42 | 43 | 49 | 0 | 0 | 0 | |||||||||
Family and consumer sciences and human sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Geosciences, atmospheric, and ocean sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Mathematics and statistics | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Multidisciplinary and interdisciplinary sciences | 21 | 26 | i | 30 | 32 | 49 | 51 | 0 | 0 | 0 | 0 | |||||||||
Natural resources and conservation | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Physical sciences | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Psychology | 71 | 70 | i | 74 | 76 | 49 | 44 | 53 | 66 | 56 | 55 | |||||||||
Social sciences | 21 | 17 | i | 18 | 21 | 31 | 29 | 35 | 268 | 281 | 273 | |||||||||
Engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Aerospace, aeronautical, and astronautical engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Biological, biomedical, and biosystems engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Chemical, petroleum, and chemical-related engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Civil, environmental, transportation and related engineering fields | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Electrical, electronics, communications and computer engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Mechanical engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Metallurgical, mining, materials and related engineering fields | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Other engineering | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Clinical medicine | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Other health | 0 | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
i=imputed
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).