Data

Loyola U., Maryland
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 22 | 23 | 17 | 14 | 19 | 27 | i | 28 | 37 | 34 | 34 | |||||||||
Female | 145 | 146 | 149 | 155 | 182 | 208 | i | 209 | 203 | 202 | 205 | |||||||||
U.S. citizens and permanent residents | 165 | 165 | 164 | 167 | 199 | 229 | i | 231 | 232 | 234 | 237 | |||||||||
Hispanic or Latino | 12 | 8 | 9 | 9 | 14 | 13 | i | 13 | 21 | 11 | 11 | |||||||||
Not Hispanic or Latino | 153 | 156 | 154 | 154 | 179 | 214 | i | 216 | 209 | 219 | 222 | |||||||||
American Indian or Alaska Native | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 1 | 1 | 1 | |||||||||
Asian | 15 | 9 | 8 | 8 | 12 | 12 | i | 12 | 17 | 10 | 10 | |||||||||
Black or African American | 19 | 20 | 25 | 19 | 18 | 12 | i | 12 | 19 | 11 | 11 | |||||||||
Native Hawaiian or Other Pacific Islander | 0 | 1 | 0 | 0 | 0 | 1 | i | 1 | 0 | 0 | 0 | |||||||||
White | 115 | 120 | 110 | 119 | 145 | 182 | i | 184 | 161 | 192 | 195 | |||||||||
More than one race | 4 | 6 | 11 | 8 | 4 | 7 | i | 7 | 11 | 5 | 5 | |||||||||
Unknown ethnicity and race | 0 | 1 | 1 | 4 | 6 | 2 | i | 2 | 2 | 4 | 4 | |||||||||
Temporary visa holders | 2 | 4 | 2 | 2 | 2 | 6 | i | 6 | 8 | 2 | 2 | |||||||||
Science and engineering | 78 | 72 | 62 | 59 | 97 | 135 | i | 138 | 138 | 138 | 139 | |||||||||
Science | 78 | 72 | 62 | 59 | 97 | 135 | i | 138 | 138 | 138 | 139 | |||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Biological and biomedical sciences | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 5 | 0 | 0 | |||||||||
Computer and information sciences | 3 | 3 | 3 | 3 | 1 | 1 | i | 1 | 0 | 2 | 2 | |||||||||
Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Geosciences, atmospheric, and ocean sciences | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Multidisciplinary and interdisciplinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Physical sciences | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Psychology | 75 | 69 | 59 | 56 | 96 | 134 | i | 137 | 133 | 136 | 137 | |||||||||
Social sciences | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Engineering | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Aerospace, aeronautical, and astronautical engineering | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Biological, biomedical, and biosystems engineering | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Chemical, petroleum, and chemical-related engineering | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Civil, environmental, transportation and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Electrical, electronics, communications and computer engineering | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Mechanical engineering | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Other engineering | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Health | 89 | 97 | 104 | 110 | 104 | 100 | i | 99 | 102 | 98 | 100 | |||||||||
Clinical medicine | 0 | 0 | 0 | 0 | 0 | 0 | i | 0 | 0 | 0 | 0 | |||||||||
Other health | 89 | 97 | 104 | 110 | 104 | 100 | i | 99 | 102 | 98 | 100 |
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).