Data

U. Baltimore
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 17 | 16 | i | 16 | 29 | 23 | 28 | 41 | 46 | 47 | 49 | |||||||||
Female | 78 | 71 | i | 71 | 79 | 69 | 70 | 60 | 88 | 93 | 98 | |||||||||
U.S. citizens and permanent residents | 93 | 85 | i | 86 | 101 | 87 | 90 | 93 | 115 | 125 | 131 | |||||||||
Hispanic or Latino | 11 | 10 | i | 10 | 14 | 7 | 2 | 1 | 5 | 6 | 6 | |||||||||
Not Hispanic or Latino | 77 | 71 | i | 72 | 83 | 78 | 86 | 90 | 108 | 115 | 121 | |||||||||
American Indian or Alaska Native | 0 | 0 | i | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |||||||||
Asian | 4 | 3 | i | 3 | 4 | 4 | 5 | 6 | 2 | 7 | 7 | |||||||||
Black or African American | 26 | 24 | i | 25 | 29 | 25 | 24 | 24 | 36 | 44 | 47 | |||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | i | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | |||||||||
White | 42 | 39 | i | 39 | 44 | 45 | 51 | 54 | 65 | 61 | 64 | |||||||||
More than one race | 5 | 5 | i | 5 | 6 | 4 | 6 | 4 | 5 | 2 | 2 | |||||||||
Unknown ethnicity and race | 5 | 4 | i | 4 | 4 | 2 | 2 | 2 | 2 | 4 | 4 | |||||||||
Temporary visa holders | 2 | 2 | i | 1 | 7 | 5 | 8 | 8 | 19 | 15 | 16 | |||||||||
Science and engineering | 95 | 87 | i | 87 | 108 | 92 | 98 | 101 | 134 | 140 | 147 | |||||||||
Science | 95 | 87 | i | 87 | 108 | 92 | 98 | 101 | 134 | 140 | 147 | |||||||||
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 | 10 | 9 | i | 8 | 10 | 4 | 4 | 3 | 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 | 4 | 1 | i | 1 | 15 | 11 | 15 | 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 | 73 | 67 | i | 67 | 68 | 65 | 62 | 77 | 74 | 68 | 69 | |||||||||
Social sciences | 8 | 10 | i | 11 | 15 | 12 | 17 | 21 | 60 | 72 | 78 | |||||||||
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).