Data
Central Washington U.
| All races | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| U.S. citizens and permanent residents | 84 | i | 84 | 76 | 107 | 123 | 99 | 67 | 61 | 55 | 58 | |||||||||
| Hispanic or Latino | 10 | i | 10 | 7 | 16 | 14 | 10 | 10 | 6 | 7 | 6 | |||||||||
| Not Hispanic or Latino | 73 | i | 73 | 67 | 88 | 105 | 87 | 52 | 53 | 45 | 48 | |||||||||
| American Indian or Alaska Native | 10 | i | 9 | 1 | 0 | 2 | 3 | 1 | 1 | 0 | 0 | |||||||||
| Asian | 3 | i | 3 | 2 | 3 | 6 | 6 | 0 | 3 | 3 | 2 | |||||||||
| Black or African American | 7 | i | 7 | 4 | 6 | 5 | 8 | 4 | 2 | 2 | 1 | |||||||||
| Native Hawaiian or Other Pacific Islander | 0 | i | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | |||||||||
| White | 44 | i | 44 | 55 | 73 | 84 | 67 | 44 | 44 | 33 | 40 | |||||||||
| More than one race | 9 | i | 10 | 5 | 5 | 8 | 2 | 3 | 3 | 7 | 5 | |||||||||
| Unknown ethnicity and race | 1 | i | 1 | 2 | 3 | 4 | 2 | 5 | 2 | 3 | 4 | |||||||||
| Temporary visa holders | 2 | i | 2 | 8 | 6 | 16 | 4 | 1 | 8 | 2 | 2 | |||||||||
| Science and engineering | 79 | i | 78 | 75 | 105 | 139 | 100 | 68 | 69 | 57 | 60 | |||||||||
| Science | 79 | i | 78 | 68 | 89 | 108 | 80 | 67 | 68 | 57 | 57 | |||||||||
| Agricultural and veterinary sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| Biological and biomedical sciences | 10 | i | 10 | 5 | 3 | 3 | 0 | 9 | 9 | 10 | 6 | |||||||||
| Communication | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| Computer and information sciences | 42 | i | 40 | 33 | 43 | 58 | 42 | 19 | 13 | 2 | 8 | |||||||||
| Family and consumer sciences and human sciences | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | |||||||||
| Geosciences, atmospheric, and ocean sciences | 4 | i | 4 | 3 | 3 | 4 | 2 | 1 | 2 | 2 | 3 | |||||||||
| Mathematics and statistics | 0 | i | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||
| Multidisciplinary and interdisciplinary sciences | 1 | i | 1 | 10 | 10 | 4 | 9 | 11 | 0 | 3 | 6 | |||||||||
| Natural resources and conservation | 9 | i | 9 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | |||||||||
| Physical sciences | 1 | i | 1 | 4 | 6 | 3 | 7 | 0 | 4 | 0 | 0 | |||||||||
| Psychology | 11 | i | 12 | 10 | 20 | 30 | 14 | 19 | 26 | 18 | 17 | |||||||||
| Social sciences | 1 | i | 1 | 3 | 4 | 6 | 6 | 8 | 6 | 17 | 16 | |||||||||
| Engineering | 0 | i | 0 | 7 | 16 | 31 | 20 | 1 | 1 | 0 | 3 | |||||||||
| 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 | 1 | 1 | 0 | 3 | |||||||||
| 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 | 7 | 16 | 31 | 20 | 0 | 0 | 0 | 0 | |||||||||
| Health | 7 | i | 8 | 9 | 8 | 0 | 3 | 0 | 0 | 0 | 0 | |||||||||
| Clinical medicine | 5 | i | 6 | 9 | 8 | 0 | 3 | 0 | 0 | 0 | 0 | |||||||||
| Other health | 2 | i | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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).
