Data
U. Wisconsin-Green Bay
| All races | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | 36 | 55 | 77 | 76 | 70 | 62 | 57 | 31 | 8 | 15 | ||||||||||
| Female | 27 | 20 | 32 | 20 | 25 | 23 | 17 | 14 | 11 | 11 | ||||||||||
| U.S. citizens and permanent residents | 60 | 71 | 105 | 95 | 94 | 85 | 71 | 45 | 19 | 26 | ||||||||||
| Hispanic or Latino | 8 | 8 | 5 | 4 | 4 | 4 | 4 | 3 | 0 | 0 | ||||||||||
| Not Hispanic or Latino | 51 | 62 | 99 | 90 | 86 | 81 | 67 | 42 | 19 | 26 | ||||||||||
| American Indian or Alaska Native | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | ||||||||||
| Asian | 7 | 10 | 12 | 12 | 8 | 12 | 7 | 9 | 2 | 0 | ||||||||||
| Black or African American | 3 | 3 | 7 | 7 | 7 | 4 | 3 | 0 | 0 | 0 | ||||||||||
| Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ||||||||||
| White | 38 | 48 | 79 | 71 | 71 | 63 | 56 | 32 | 17 | 25 | ||||||||||
| More than one race | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||||||||||
| Unknown ethnicity and race | 1 | 1 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Temporary visa holders | 3 | 4 | 4 | 1 | 1 | 0 | 3 | 0 | 0 | 0 | ||||||||||
| Science and engineering | 63 | 75 | 94 | 96 | 95 | 85 | 74 | 45 | 19 | 26 | ||||||||||
| Science | 63 | 75 | 94 | 96 | 95 | 85 | 74 | 45 | 19 | 26 | ||||||||||
| Agricultural and veterinary sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Biological and biomedical sciences | 16 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Communication | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Computer and information sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Family and consumer sciences and human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Geosciences, atmospheric, and ocean sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 17 | 26 | ||||||||||
| Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Multidisciplinary and interdisciplinary sciences | 46 | 69 | 87 | 80 | 74 | 65 | 62 | 35 | 2 | 0 | ||||||||||
| Natural resources and conservation | 0 | 0 | 0 | 16 | 21 | 20 | 12 | 0 | 0 | 0 | ||||||||||
| Physical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Psychology | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Social sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Aerospace, aeronautical, and astronautical engineering | 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 | ||||||||||
| Chemical, petroleum, and chemical-related engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Civil, environmental, transportation and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Electrical, electronics, communications and computer engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Industrial, manufacturing, systems engineering and operations research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Mechanical engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Metallurgical, mining, materials and related engineering fields | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Other engineering | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Health | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Clinical medicine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||
| Other health | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 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).

