Data

U. Maryland, Eastern Shore
All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 26 | i | 26 | 28 | 34 | 40 | 36 | 46 | 34 | 32 | 28 | |||||||||
Female | 46 | i | 48 | 46 | 46 | 42 | 42 | 30 | 52 | 49 | 48 | |||||||||
U.S. citizens and permanent residents | 56 | i | 57 | 58 | 60 | 61 | 61 | 54 | 64 | 60 | 61 | |||||||||
Hispanic or Latino | 5 | i | 4 | 5 | 5 | 7 | 6 | 0 | 5 | 5 | 3 | |||||||||
Not Hispanic or Latino | 47 | i | 49 | 43 | 48 | 51 | 53 | 54 | 59 | 55 | 56 | |||||||||
American Indian or Alaska Native | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Asian | 3 | i | 3 | 4 | 3 | 1 | 2 | 2 | 2 | 1 | 0 | |||||||||
Black or African American | 26 | i | 28 | 16 | 15 | 20 | 24 | 37 | 30 | 30 | 36 | |||||||||
Native Hawaiian or Other Pacific Islander | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
White | 13 | i | 13 | 11 | 15 | 13 | 12 | 7 | 14 | 15 | 16 | |||||||||
More than one race | 5 | i | 5 | 12 | 15 | 17 | 15 | 8 | 13 | 9 | 4 | |||||||||
Unknown ethnicity and race | 4 | i | 4 | 10 | 7 | 3 | 2 | 0 | 0 | 0 | 2 | |||||||||
Temporary visa holders | 16 | i | 17 | 16 | 20 | 21 | 17 | 22 | 22 | 21 | 15 | |||||||||
Science and engineering | 68 | i | 69 | 71 | 74 | 75 | 74 | 74 | 84 | 80 | 76 | |||||||||
Science | 68 | i | 69 | 71 | 74 | 75 | 74 | 74 | 84 | 80 | 76 | |||||||||
Agricultural and veterinary sciences | 25 | i | 26 | 24 | 26 | 22 | 18 | 8 | 10 | 9 | 15 | |||||||||
Biological and biomedical sciences | 4 | i | 4 | 10 | 12 | 16 | 17 | 17 | 27 | 27 | 27 | |||||||||
Communication | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Computer and information sciences | 17 | i | 17 | 13 | 13 | 17 | 15 | 14 | 14 | 9 | 4 | |||||||||
Family and consumer sciences and human sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Geosciences, atmospheric, and ocean sciences | 17 | i | 17 | 20 | 18 | 16 | 22 | 29 | 29 | 32 | 21 | |||||||||
Mathematics and statistics | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Multidisciplinary and interdisciplinary sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Natural resources and conservation | 0 | i | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | |||||||||
Physical sciences | 2 | i | 2 | 1 | 2 | 1 | 0 | 2 | 2 | 0 | 1 | |||||||||
Psychology | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Social sciences | 3 | i | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 3 | 8 | |||||||||
Engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Aerospace, aeronautical, and astronautical engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Biological, biomedical, and biosystems engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Chemical, petroleum, and chemical-related engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Civil, environmental, transportation and related engineering fields | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Electrical, electronics, communications and computer engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Industrial, manufacturing, systems engineering and operations research | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Mechanical engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Metallurgical, mining, materials and related engineering fields | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Other engineering | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Health | 4 | i | 5 | 3 | 6 | 7 | 4 | 2 | 2 | 1 | 0 | |||||||||
Clinical medicine | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
Other health | 4 | i | 5 | 3 | 6 | 7 | 4 | 2 | 2 | 1 | 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).