Data
Marshall U.
| All races | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| U.S. citizens and permanent residents | 162 | 128 | 122 | 128 | 101 | 91 | 81 | 112 | 91 | 100 | 0 | |||||||||||
| Hispanic or Latino | 8 | 3 | 7 | 4 | 5 | 1 | 2 | 1 | 1 | 0 | 0 | |||||||||||
| Not Hispanic or Latino | 131 | 116 | 111 | 122 | 95 | 89 | 78 | 99 | 87 | 98 | 0 | |||||||||||
| American Indian or Alaska Native | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Asian | 3 | 0 | 3 | 4 | 4 | 3 | 2 | 1 | 1 | 3 | 0 | |||||||||||
| Black or African American | 9 | 8 | 5 | 2 | 1 | 4 | 4 | 7 | 3 | 3 | 0 | |||||||||||
| Native Hawaiian or Other Pacific Islander | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |||||||||||
| White | 114 | 98 | 100 | 113 | 90 | 81 | 68 | 87 | 83 | 86 | 0 | |||||||||||
| More than one race | 5 | 10 | 2 | 2 | 0 | 1 | 3 | 4 | 0 | 6 | 0 | |||||||||||
| Unknown ethnicity and race | 23 | 9 | 4 | 2 | 1 | 1 | 1 | 12 | 3 | 2 | 0 | |||||||||||
| Temporary visa holders | 4 | 3 | 4 | 8 | 9 | 26 | 30 | 20 | 17 | 8 | 0 | |||||||||||
| Science and engineering | 154 | 121 | 114 | 128 | 101 | 105 | 97 | 121 | 99 | 102 | 0 | |||||||||||
| Science | 143 | 113 | 105 | 119 | 88 | 90 | 76 | 81 | 75 | 76 | 0 | |||||||||||
| Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Biological and biomedical sciences | 5 | 6 | 4 | 6 | 0 | 1 | 7 | 11 | 4 | 13 | 0 | |||||||||||
| Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Computer and information sciences | 33 | 16 | 10 | 13 | 12 | 20 | 19 | 15 | 17 | 12 | 0 | |||||||||||
| Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Geosciences, atmospheric, and ocean sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 14 | 0 | |||||||||||
| Mathematics and statistics | 6 | 5 | 7 | 5 | 3 | 6 | 5 | 1 | 1 | 1 | 0 | |||||||||||
| Multidisciplinary and interdisciplinary sciences | 0 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Natural resources and conservation | 3 | 2 | 6 | 6 | 4 | 6 | 6 | 0 | 0 | 0 | 0 | |||||||||||
| Physical sciences | 2 | 1 | 3 | 1 | 2 | 2 | 0 | 1 | 1 | 4 | 0 | |||||||||||
| Psychology | 43 | 39 | 27 | 32 | 27 | 33 | 24 | 23 | 22 | 17 | 0 | |||||||||||
| Social sciences | 51 | 41 | 46 | 54 | 40 | 22 | 15 | 17 | 19 | 15 | 0 | |||||||||||
| Engineering | 11 | 8 | 9 | 9 | 13 | 15 | 21 | 40 | 24 | 26 | 0 | |||||||||||
| Aerospace, aeronautical, and astronautical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Biological, biomedical, and biosystems engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Chemical, petroleum, and chemical-related engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Civil, environmental, transportation and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | |||||||||||
| Electrical, electronics, communications and computer engineering | 1 | 3 | 3 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Industrial, manufacturing, systems engineering and operations research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Mechanical engineering | 1 | 0 | 2 | 4 | 4 | 6 | 8 | 1 | 0 | 0 | 0 | |||||||||||
| Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
| Other engineering | 9 | 5 | 4 | 2 | 7 | 9 | 13 | 13 | 24 | 26 | 0 | |||||||||||
| Health | 12 | 10 | 12 | 8 | 9 | 12 | 14 | 11 | 9 | 6 | 0 | |||||||||||
| Clinical medicine | 4 | 5 | 2 | 3 | 4 | 4 | 4 | 2 | 2 | 2 | 0 | |||||||||||
| Other health | 8 | 5 | 10 | 5 | 5 | 8 | 10 | 9 | 7 | 4 | 0 | |||||||||||
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).
