Data

Benedictine U.
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 19 | 24 | 21 | 22 | 18 | 27 | 28 | 27 | 20 | 18 | i | |||||||||
Female | 76 | 69 | 87 | 84 | 90 | 90 | 109 | 128 | 105 | 100 | i | |||||||||
U.S. citizens and permanent residents | 90 | 90 | 105 | 104 | 108 | 115 | 134 | 152 | 123 | 116 | i | |||||||||
Hispanic or Latino | 10 | 9 | 7 | 6 | 10 | 10 | 10 | 5 | 2 | 2 | i | |||||||||
Not Hispanic or Latino | 76 | 74 | 83 | 82 | 83 | 67 | 92 | 109 | 105 | 98 | i | |||||||||
American Indian or Alaska Native | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 7 | 1 | 1 | i | |||||||||
Asian | 22 | 27 | 26 | 28 | 20 | 24 | 33 | 21 | 30 | 27 | i | |||||||||
Black or African American | 14 | 15 | 14 | 12 | 21 | 4 | 10 | 9 | 18 | 16 | i | |||||||||
Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | i | |||||||||
White | 38 | 29 | 40 | 40 | 41 | 39 | 47 | 72 | 56 | 54 | i | |||||||||
More than one race | 2 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Unknown ethnicity and race | 4 | 7 | 15 | 16 | 15 | 38 | 32 | 38 | 16 | 16 | i | |||||||||
Temporary visa holders | 5 | 3 | 3 | 2 | 0 | 2 | 3 | 3 | 2 | 2 | i | |||||||||
Science and engineering | 60 | 72 | 71 | 57 | 40 | 48 | 55 | 54 | 26 | 29 | i | |||||||||
Science | 60 | 72 | 71 | 57 | 40 | 48 | 55 | 54 | 26 | 29 | i | |||||||||
Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Biological and biomedical sciences | 23 | 36 | 32 | 35 | 25 | 20 | 15 | 24 | 26 | 29 | i | |||||||||
Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Computer and information sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Geosciences, atmospheric, and ocean sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Multidisciplinary and interdisciplinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Physical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Psychology | 37 | 36 | 39 | 22 | 15 | 27 | 38 | 30 | 0 | 0 | i | |||||||||
Social sciences | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | i | |||||||||
Engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Aerospace, aeronautical, and astronautical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Biological, biomedical, and biosystems engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Chemical, petroleum, and chemical-related engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Civil, environmental, transportation and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Electrical, electronics, communications and computer engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Mechanical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Other engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | i | |||||||||
Health | 35 | 21 | 37 | 49 | 68 | 69 | 82 | 101 | 99 | 89 | i | |||||||||
Clinical medicine | 35 | 21 | 37 | 49 | 65 | 58 | 76 | 89 | 99 | 89 | i | |||||||||
Other health | 0 | 0 | 0 | 0 | 3 | 11 | 6 | 12 | 0 | 0 | i |
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).