Pacific States U.

Rankings

Data year	Earned doctorates			Full-time graduate students						Total R&D expenditures
Data year	Rank	Percentile	Institutions ranked	Rank	Percentile	Institutions ranked	Rank	Percentile	Institutions ranked	Rank	Percentile	Institutions ranked
2024
2023
2022
2021				579	17.1	691
2020				591	16.2	698
2019				574	18.5	697
2018				569	19.6	700
2017				558	19.3	684
2016				570	19.1	697
2015				593	15.3	693
2014				641	7.8	688

NOTES:

1. See TableBuilder for the prior year data.
2. Blank white cells indicate data not available, not applicable, or institution not eligible for survey.
3. Data from the Survey of Science and Engineering Research Facilities is collected every two years.

Data sources

Download all tables in Excel format

Data

Full-time graduate students in science, engineering, and health, by selected characteristics: 2023–14
All races	2023	2022	2021		2020	2019		2018		2017		2016	2015	2014
Male	.	.	29	i	25	29	i	29	i	31	i	31	22	10
Female	.	.	10	i	9	10	i	10	i	10	i	10	9	2
U.S. citizens and permanent residents	.	.	0	i	0	0	i	0	i	0	i	0	0	1
Hispanic or Latino	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Not Hispanic or Latino	.	.	0	i	0	0	i	0	i	0	i	0	0	1
American Indian or Alaska Native	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Asian	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Black or African American	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Native Hawaiian or Other Pacific Islander	.	.	0	i	0	0	i	0	i	0	i	0	0	0
White	.	.	0	i	0	0	i	0	i	0	i	0	0	1
More than one race	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Unknown ethnicity and race	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Temporary visa holders	.	.	39	i	34	39	i	39	i	41	i	41	31	11
Science and engineering	.	.	39	i	34	39	i	39	i	41	i	41	31	12
Science	.	.	39	i	34	39	i	39	i	41	i	41	31	12
Agricultural and veterinary sciences	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Biological and biomedical sciences	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Communication	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Computer and information sciences	.	.	39	i	34	39	i	39	i	41	i	41	31	12
Family and consumer sciences and human sciences	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Geosciences, atmospheric, and ocean sciences	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Mathematics and statistics	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Multidisciplinary and interdisciplinary sciences	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Natural resources and conservation	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Physical sciences	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Psychology	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Social sciences	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Engineering	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Aerospace, aeronautical, and astronautical engineering	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Biological, biomedical, and biosystems engineering	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Chemical, petroleum, and chemical-related engineering	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Civil, environmental, transportation and related engineering fields	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Electrical, electronics, communications and computer engineering	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Industrial, manufacturing, systems engineering and operations research	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Mechanical engineering	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Metallurgical, mining, materials and related engineering fields	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Other engineering	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Clinical medicine	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Other health	.	.	0	i	0	0	i	0	i	0	i	0	0	0

i=imputed

NOTE:

. = 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).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Part-time graduate students in science, engineering, and health, by selected characteristics: 2023–14
All races	2023	2022
Male	.	.	i	i	i	i
Female	.	.	i	i	i	i
U.S. citizens and permanent residents	.	.	i	i	i	i
Hispanic or Latino	.	.	i	i	i	i
Not Hispanic or Latino	.	.	i	i	i	i
American Indian or Alaska Native	.	.	i	i	i	i
Asian	.	.	i	i	i	i
Black or African American	.	.	i	i	i	i
Native Hawaiian or Other Pacific Islander	.	.	i	i	i	i
White	.	.	i	i	i	i
More than one race	.	.	i	i	i	i
Unknown ethnicity and race	.	.	i	i	i	i
Temporary visa holders	.	.	i	i	i	i
Science and engineering	.	.	i	i	i	i
Science	.	.	i	i	i	i
Agricultural and veterinary sciences	.	.	i	i	i	i
Biological and biomedical sciences	.	.	i	i	i	i
Communication	.	.	i	i	i	i
Computer and information sciences	.	.	i	i	i	i
Family and consumer sciences and human sciences	.	.	i	i	i	i
Geosciences, atmospheric, and ocean sciences	.	.	i	i	i	i
Mathematics and statistics	.	.	i	i	i	i
Multidisciplinary and interdisciplinary sciences	.	.	i	i	i	i
Natural resources and conservation	.	.	i	i	i	i
Physical sciences	.	.	i	i	i	i
Psychology	.	.	i	i	i	i
Social sciences	.	.	i	i	i	i
Engineering	.	.	i	i	i	i
Aerospace, aeronautical, and astronautical engineering	.	.	i	i	i	i
Biological, biomedical, and biosystems engineering	.	.	i	i	i	i
Chemical, petroleum, and chemical-related engineering	.	.	i	i	i	i
Civil, environmental, transportation and related engineering fields	.	.	i	i	i	i
Electrical, electronics, communications and computer engineering	.	.	i	i	i	i
Industrial, manufacturing, systems engineering and operations research	.	.	i	i	i	i
Mechanical engineering	.	.	i	i	i	i
Metallurgical, mining, materials and related engineering fields	.	.	i	i	i	i
Other engineering	.	.	i	i	i	i
Clinical medicine	.	.	i	i	i	i
Other health	.	.	i	i	i	i

i=imputed

NOTE:

. = 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).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Full-time graduate students in science, engineering, and health receiving primary support from federal sources, by field: 2023–14
Field	2023	2022
All surveyed fields	.	.	i	i	i	i
Science and engineering	.	.	i	i	i	i
Science	.	.	i	i	i	i
Agricultural and veterinary sciences	.	.	i	i	i	i
Biological and biomedical sciences	.	.	i	i	i	i
Communication	.	.	i	i	i	i
Computer and information sciences	.	.	i	i	i	i
Family and consumer sciences and human sciences	.	.	i	i	i	i
Geosciences, atmospheric, and ocean sciences	.	.	i	i	i	i
Mathematics and statistics	.	.	i	i	i	i
Multidisciplinary and interdisciplinary sciences	.	.	i	i	i	i
Natural resources and conservation	.	.	i	i	i	i
Physical sciences	.	.	i	i	i	i
Psychology	.	.	i	i	i	i
Social sciences	.	.	i	i	i	i
Engineering	.	.	i	i	i	i
Aerospace, aeronautical, and astronautical engineering	.	.	i	i	i	i
Biological, biomedical, and biosystems engineering	.	.	i	i	i	i
Chemical, petroleum, and chemical-related engineering	.	.	i	i	i	i
Civil, environmental, transportation and related engineering fields	.	.	i	i	i	i
Electrical, electronics, communications and computer engineering	.	.	i	i	i	i
Industrial, manufacturing, systems engineering and operations research	.	.	i	i	i	i
Mechanical engineering	.	.	i	i	i	i
Metallurgical, mining, materials and related engineering fields	.	.	i	i	i	i
Other engineering	.	.	i	i	i	i
Health	.	.	i	i	i	i
Clinical medicine	.	.	i	i	i	i
Other health	.	.	i	i	i	i

i=imputed

NOTE:

. = 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).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Full-time graduate students in science, engineering, and health, by type and primary source of support: 2023–14
Type and primary source of support	2023	2022	2021		2020	2019		2018		2017		2016	2015	2014
All types and sources of support	.	.	39	i	34	39	i	39	i	41	i	41	31	12
Fellowships	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Federal	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Institutional	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Nonfederal	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Research assistantships	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Federal	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Institutional	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Nonfederal	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Teaching assistantships	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Federal	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Institutional	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Nonfederal	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Other types of support	.	.	39	i	34	39	i	39	i	41	i	41	31	12
Federal	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Institutional	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Nonfederal	.	.	0	i	0	0	i	0	i	0	i	0	0	0
Personal resources	.	.	39	i	34	39	i	39	i	41	i	41	31	12

i=imputed

NOTE:

. = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Postdoctorates in science, engineering, and health, by selected characteristics: 2023–14
All races	2023	2022
Science and engineering	.	.	i	i	i	i
Science	.	.	i	i	i	i
Agricultural and veterinary sciences	.	.	i	i	i	i
Biological and biomedical sciences	.	.	i	i	i	i
Communication	.	.	i	i	i	i
Computer and information sciences	.	.	i	i	i	i
Family and consumer sciences and human sciences	.	.	i	i	i	i
Geosciences, atmospheric, and ocean sciences	.	.	i	i	i	i
Mathematics and statistics	.	.	i	i	i	i
Multidisciplinary and interdisciplinary sciences	.	.	i	i	i	i
Natural resources and conservation	.	.	i	i	i	i
Physical sciences	.	.	i	i	i	i
Psychology	.	.	i	i	i	i
Social sciences	.	.	i	i	i	i
Engineering	.	.	i	i	i	i
Aerospace, aeronautical, and astronautical engineering	.	.	i	i	i	i
Biological, biomedical, and biosystems engineering	.	.	i	i	i	i
Chemical, petroleum, and chemical-related engineering	.	.	i	i	i	i
Civil, environmental, transportation and related engineering fields	.	.	i	i	i	i
Electrical, electronics, communications and computer engineering	.	.	i	i	i	i
Industrial, manufacturing, systems engineering and operations research	.	.	i	i	i	i
Mechanical engineering	.	.	i	i	i	i
Metallurgical, mining, materials and related engineering fields	.	.	i	i	i	i
Other engineering	.	.	i	i	i	i
Clinical medicine	.	.	i	i	i	i
Other health	.	.	i	i	i	i

i=imputed

NOTE:

. = 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).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Federally supported science, engineering, and health postdoctorates, by field: 2023–14
Field	2023	2022
All surveyed fields	.	.	i	i	i	i
Science and engineering	.	.	i	i	i	i
Science	.	.	i	i	i	i
Agricultural and veterinary sciences	.	.	i	i	i	i
Biological and biomedical sciences	.	.	i	i	i	i
Communication	.	.	i	i	i	i
Computer and information sciences	.	.	i	i	i	i
Family and consumer sciences and human sciences	.	.	i	i	i	i
Geosciences, atmospheric, and ocean sciences	.	.	i	i	i	i
Mathematics and statistics	.	.	i	i	i	i
Multidisciplinary and interdisciplinary sciences	.	.	i	i	i	i
Natural resources and conservation	.	.	i	i	i	i
Physical sciences	.	.	i	i	i	i
Psychology	.	.	i	i	i	i
Social sciences	.	.	i	i	i	i
Engineering	.	.	i	i	i	i
Aerospace, aeronautical, and astronautical engineering	.	.	i	i	i	i
Biological, biomedical, and biosystems engineering	.	.	i	i	i	i
Chemical, petroleum, and chemical-related engineering	.	.	i	i	i	i
Civil, environmental, transportation and related engineering fields	.	.	i	i	i	i
Electrical, electronics, communications and computer engineering	.	.	i	i	i	i
Industrial, manufacturing, systems engineering and operations research	.	.	i	i	i	i
Mechanical engineering	.	.	i	i	i	i
Metallurgical, mining, materials and related engineering fields	.	.	i	i	i	i
Other engineering	.	.	i	i	i	i
Health	.	.	i	i	i	i
Clinical medicine	.	.	i	i	i	i
Other health	.	.	i	i	i	i

i=imputed

NOTE:

. = 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).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

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