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Pacific U.

Rankings

Data year Earned doctorates Full-time graduate students Total R&D expenditures
Rank Percentile Institutions ranked Rank Percentile Institutions ranked Rank Percentile Institutions ranked Rank Percentile Institutions ranked
2023 370 20.2 459 414 39.7 679 411 32.5 602 357 61.4 914
2022 346 25.1 457 406 41 680 408 55.2 900
2021 319 29.4 447 394 43.6 691 396 32.8 583 421 54.2 908
2020 421 7.4 450 362 48.7 698 391 57.8 916
2019 389 44.8 697 392 34.2 589 353 61.8 914
2018 388 45.2 700 382 58.6 911
2017 366 47.1 684 391 32.7 575 355 60.9 898
2016 391 44.5 697 481 46.9 896
2015 388 44.6 693 352 38.9 570 515 43.3 898
2014 511 43.1 889
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 formatzip file.

Data

Number of earned doctorates, by trend major field of study of recipients: 2023–14
Fields 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All fields 8 10 14 2 . . . . . .
  Science and engineering 8 10 14 2 . . . . . .
    Biological and biomedical sciences 2 1 2 . . . . . . .
      Neurobiology and neurosciences . . 1 . . . . . . .
      Biology and biomedical sciences, other 2 1 1 . . . . . . .
    Psychology 6 9 12 2 . . . . . .
      Clinical psychology 6 9 11 2 . . . . . .
      Research and experimental psychology . . 1 . . . . . . .

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 Earned Doctorates

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 22 i 22 i 22 33 23 29 44 i 44 i 44 0 i
    Female 132 i 135 i 135 156 133 125 137 i 137 i 135 0 i
  U.S. citizens and permanent residents 154 i 157 i 157 177 153 154 167 i 167 i 165 0 i
    Hispanic or Latino 10 i 10 i 10 12 7 7 9 i 9 i 9 0 i
    Not Hispanic or Latino 82 i 82 i 82 76 64 94 136 i 136 i 135 0 i
      American Indian or Alaska Native 0 i 0 i 0 0 1 2 4 i 4 i 4 0 i
      Asian 5 i 5 i 5 2 5 10 15 i 15 i 15 0 i
      Black or African American 4 i 4 i 4 4 3 4 4 i 4 i 4 0 i
      Native Hawaiian or Other Pacific Islander 0 i 0 i 0 0 0 1 1 i 1 i 1 0 i
      White 71 i 71 i 71 61 45 67 107 i 107 i 106 0 i
      More than one race 2 i 2 i 2 9 10 10 5 i 5 i 5 0 i
    Unknown ethnicity and race 62 i 65 i 65 89 82 53 22 i 22 i 21 0 i
  Temporary visa holders 0 i 0 i 0 12 3 0 14 i 14 i 14 0 i
  Science and engineering 92 i 92 i 93 120 97 92 110 i 110 i 110 0 i
    Science 92 i 92 i 93 120 97 92 110 i 110 i 110 0 i
      Agricultural and veterinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological and biomedical sciences 1 i 1 i 1 12 2 1 23 i 23 i 24 0 i
      Communication 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Computer and information sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Family and consumer sciences and human sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Geosciences, atmospheric, and ocean sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mathematics and statistics 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Multidisciplinary and interdisciplinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Natural resources and conservation 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Physical sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Psychology 91 i 91 i 92 108 95 91 87 i 87 i 86 0 i
      Social sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Aerospace, aeronautical, and astronautical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological, biomedical, and biosystems engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Chemical, petroleum, and chemical-related engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Civil, environmental, transportation and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Electrical, electronics, communications and computer engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Industrial, manufacturing, systems engineering and operations research 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mechanical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Metallurgical, mining, materials and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Other engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Health 62 i 65 i 64 69 59 62 71 i 71 i 69 0 i
    Clinical medicine 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Other health 62 i 65 i 64 69 59 62 71 i 71 i 69 0 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

Part-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 6 i 7 i 7 7 5 5 5 i 5 i 5 0 i
    Female 8 i 8 i 8 12 10 11 1 i 1 i 1 0 i
  U.S. citizens and permanent residents 12 i 12 i 12 18 15 15 6 i 6 i 6 0 i
    Hispanic or Latino 0 i 0 i 0 1 1 1 0 i 0 i 0 0 i
    Not Hispanic or Latino 11 i 11 i 11 8 9 11 5 i 5 i 5 0 i
      American Indian or Alaska Native 1 i 1 i 1 1 1 0 0 i 0 i 0 0 i
      Asian 4 i 4 i 4 2 1 1 1 i 1 i 1 0 i
      Black or African American 0 i 0 i 0 0 1 0 0 i 0 i 0 0 i
      Native Hawaiian or Other Pacific Islander 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      White 5 i 5 i 5 3 5 9 4 i 4 i 4 0 i
      More than one race 1 i 1 i 1 2 1 1 0 i 0 i 0 0 i
    Unknown ethnicity and race 1 i 1 i 1 9 5 3 1 i 1 i 1 0 i
  Temporary visa holders 2 i 3 i 3 1 0 1 0 i 0 i 0 0 i
  Science and engineering 13 i 14 i 14 18 15 16 6 i 6 i 6 0 i
    Science 13 i 14 i 14 18 15 16 6 i 6 i 6 0 i
      Agricultural and veterinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological and biomedical sciences 7 i 8 i 8 2 2 2 2 i 2 i 2 0 i
      Communication 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Computer and information sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Family and consumer sciences and human sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Geosciences, atmospheric, and ocean sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mathematics and statistics 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Multidisciplinary and interdisciplinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Natural resources and conservation 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Physical sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Psychology 6 i 6 i 6 16 13 14 4 i 4 i 4 0 i
      Social sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Aerospace, aeronautical, and astronautical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological, biomedical, and biosystems engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Chemical, petroleum, and chemical-related engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Civil, environmental, transportation and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Electrical, electronics, communications and computer engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Industrial, manufacturing, systems engineering and operations research 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mechanical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Metallurgical, mining, materials and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Other engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Health 1 i 1 i 1 1 0 0 0 i 0 i 0 0 i
    Clinical medicine 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Other health 1 i 1 i 1 1 0 0 0 i 0 i 0 0 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 2021 2020 2019 2018 2017 2016 2015 2014
All surveyed fields 3 i 3 i 3 1 0 1 87 i 87 i 86 0 i
  Science and engineering 1 i 1 i 1 0 0 1 87 i 87 i 86 0 i
    Science 1 i 1 i 1 0 0 1 87 i 87 i 86 0 i
      Agricultural and veterinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological and biomedical sciences 0 i 0 i 0 0 0 1 0 i 0 i 0 0 i
      Communication 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Computer and information sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Family and consumer sciences and human sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Geosciences, atmospheric, and ocean sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mathematics and statistics 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Multidisciplinary and interdisciplinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Natural resources and conservation 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Physical sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Psychology 1 i 1 i 1 0 0 0 87 i 87 i 86 0 i
      Social sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Aerospace, aeronautical, and astronautical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological, biomedical, and biosystems engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Chemical, petroleum, and chemical-related engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Civil, environmental, transportation and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Electrical, electronics, communications and computer engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Industrial, manufacturing, systems engineering and operations research 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mechanical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Metallurgical, mining, materials and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Other engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Health 2 i 2 i 2 1 0 0 0 i 0 i 0 0 i
    Clinical medicine 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Other health 2 i 2 i 2 1 0 0 0 i 0 i 0 0 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 154 i 157 i 157 189 156 154 181 i 181 i 179 0 i
  Fellowships 2 i 2 i 2 2 5 2 0 i 0 i 0 0 i
    Federal 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Institutional 2 i 2 i 2 2 5 2 0 i 0 i 0 0 i
    Nonfederal 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Research assistantships 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Federal 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Institutional 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Nonfederal 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Teaching assistantships 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Federal 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Institutional 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Nonfederal 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Other types of support 152 i 155 i 155 187 151 152 181 i 181 i 179 0 i
    Federal 3 i 3 i 3 1 0 1 87 i 87 i 86 0 i
    Institutional 1 i 1 i 1 31 0 0 0 i 0 i 0 0 i
    Nonfederal 1 i 1 i 1 3 2 3 1 i 1 i 1 0 i
    Personal resources 147 i 150 i 150 152 149 148 93 i 93 i 92 0 i

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 2021 2020 2019 2018 2017 2016 2015 2014
  Science and engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Science 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Agricultural and veterinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological and biomedical sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Communication 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Computer and information sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Family and consumer sciences and human sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Geosciences, atmospheric, and ocean sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mathematics and statistics 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Multidisciplinary and interdisciplinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Natural resources and conservation 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Physical sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Psychology 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Social sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Aerospace, aeronautical, and astronautical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological, biomedical, and biosystems engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Chemical, petroleum, and chemical-related engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Civil, environmental, transportation and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Electrical, electronics, communications and computer engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Industrial, manufacturing, systems engineering and operations research 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mechanical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Metallurgical, mining, materials and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Other engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Health 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Clinical medicine 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Other health 0 i 0 i 0 0 0 0 0 i 0 i 0 0 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 2021 2020 2019 2018 2017 2016 2015 2014
All surveyed fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Science and engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Science 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Agricultural and veterinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological and biomedical sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Communication 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Computer and information sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Family and consumer sciences and human sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Geosciences, atmospheric, and ocean sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mathematics and statistics 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Multidisciplinary and interdisciplinary sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Natural resources and conservation 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Physical sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Psychology 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Social sciences 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Aerospace, aeronautical, and astronautical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Biological, biomedical, and biosystems engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Chemical, petroleum, and chemical-related engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Civil, environmental, transportation and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Electrical, electronics, communications and computer engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Industrial, manufacturing, systems engineering and operations research 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Mechanical engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Metallurgical, mining, materials and related engineering fields 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
      Other engineering 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
  Health 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Clinical medicine 0 i 0 i 0 0 0 0 0 i 0 i 0 0 i
    Other health 0 i 0 i 0 0 0 0 0 i 0 i 0 0 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

Total R&D expenditures, by field: 2023–14
(Dollars in thousands)
Field 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
  All R&D fields 10,719 6,128 4,690 5,842 8,753 6,264 7,770 2,508 2,016 2,122
    Science 6,648 4,714 3,767 4,540 6,607 4,156 5,299 1,509 978 1,094 i
      Computer and information sciences 0 66 0 0 0 0 0 0 0 33 i
      Geosciences, atmospheric sciences, and ocean sciences 0 0 0 0 0 0 0 0 28 38 i
        Atmospheric science and meteorology 0 0 0 0 0 0 0 0 0 0 i
        Geological and earth sciences 0 0 0 0 0 0 0 0 0 0 i
        Ocean sciences and marine sciences 0 0 0 0 0 0 0 0 25 7 i
        Geosciences, atmospheric sciences, and ocean sciences nec 0 0 0 0 0 0 0 0 3 31 i
      Life sciences 6,401 3,813 3,186 3,852 5,294 3,124 3,747 896 539 601 i
        Agricultural sciences 0 0 0 0 15 0 0 13 0 0 i
        Biological and biomedical sciences 292 454 121 160 259 165 431 226 87 34 i
        Health sciences 5,409 3,019 2,745 3,202 4,463 2,641 3,316 657 356 537 i
        Natural resources and conservation 127 36 24 48 554 163 0 0 0 0
        Life sciences nec 573 304 296 442 3 155 0 0 96 30 i
      Mathematics and statistics 0 22 46 42 57 55 74 20 9 6 i
      Physical sciences 49 467 299 120 962 878 870 153 51 59 i
        Astronomy and astrophysics 0 0 10 8 0 0 0 0 0 0 i
        Chemistry 7 431 268 71 189 188 243 12 14 3 i
        Materials science 0 0 0 0 0 0 0 0 0 0
        Physics 42 36 21 41 223 161 627 141 37 56 i
        Physical sciences nec 0 0 0 0 550 529 0 0 0 0 i
      Psychology 73 4 0 2 0 0 570 435 341 315 i
      Social sciences 125 342 236 90 294 99 38 5 10 42 i
        Anthropology 0 0 0 0 0 0 6 0 0 0
        Economics 86 14 4 84 82 82 0 0 0 0 i
        Political science and government 0 1 0 3 0 0 0 3 0 0 i
        Sociology, demography, and population studies 21 327 232 0 0 0 26 0 10 18 i
        Social sciences nec 18 0 0 3 212 17 6 2 0 24 i
      Sciences nec 0 0 0 434 0 0 0 0 0 0 i
    Engineering 0 0 0 0 0 0 0 0 0 0 i
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0 0 0 0 i
      Bioengineering and biomedical engineering 0 0 0 0 0 0 0 0 0 0 i
      Chemical engineering 0 0 0 0 0 0 0 0 0 0 i
      Civil engineering 0 0 0 0 0 0 0 0 0 0 i
      Electrical, electronic, and communications engineering 0 0 0 0 0 0 0 0 0 0 i
      Industrial and manufacturing engineering 0 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 0 0 0 0 0 i
      Metallurgical and materials engineering 0 0 0 0 0 0 0 0 0 0 i
      Engineering nec 0 0 0 0 0 0 0 0 0 0 i
    Non-S&E 4,071 1,414 923 1,302 2,146 2,108 2,471 999 1,038 1,028 i
      Business management and business administration 0 79 8 67 3 3 0 40 18 17 i
      Communication and communications technologies 0 0 0 0 0 0 0 0 70 31 i
      Education 3,707 780 595 937 1,788 1,731 1,856 871 937 940 i
      Humanities 302 344 289 298 9 0 93 62 13 24 i
      Law 0 0 0 0 0 0 0 0 0 0 i
      Social work 0 5 0 0 0 0 0 0 0 0 i
      Visual and performing arts 0 0 31 0 60 58 0 26 0 0 i
      Non-S&E nec 62 206 0 0 286 316 522 0 0 16 i

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Prior to FY 2016, expenditures for natural resources and conservation, materials science, anthropology, and industrial and manufacturing engineering were not collected separately. R&D expenditures in agricultural sciences decreased in FY 2016 because a number of disciplines previously reported in that field are now reported separately under natural resources and conservation.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Total R&D expenditures, by source of funds and R&D field: 2023
(Dollars in thousands)
Field All R&D expenditures Federal government State and local government Institution funds Business Nonprofit organizations All other sources
  All R&D fields 10,719 7,133 1,098 2,053 70 365 0
    Science 6,648 3,461 1,098 1,732 70 287 0
      Computer and information sciences 0 0 0 0 0 0 0
      Geosciences, atmospheric sciences, and ocean sciences 0 0 0 0 0 0 0
        Atmospheric science and meteorology 0 0 0 0 0 0 0
        Geological and earth sciences 0 0 0 0 0 0 0
        Ocean sciences and marine sciences 0 0 0 0 0 0 0
        Geosciences, atmospheric sciences, and ocean sciences nec 0 0 0 0 0 0 0
      Life sciences 6,401 3,274 1,098 1,672 70 287 0
        Agricultural sciences 0 0 0 0 0 0 0
        Biological and biomedical sciences 292 139 0 137 0 16 0
        Health sciences 5,409 3,008 1,098 962 70 271 0
        Natural resources and conservation 127 127 0 0 0 0 0
        Life sciences nec 573 0 0 573 0 0 0
      Mathematics and statistics 0 0 0 0 0 0 0
      Physical sciences 49 34 0 15 0 0 0
        Astronomy and astrophysics 0 0 0 0 0 0 0
        Chemistry 7 0 0 7 0 0 0
        Materials science 0 0 0 0 0 0 0
        Physics 42 34 0 8 0 0 0
        Physical sciences nec 0 0 0 0 0 0 0
      Psychology 73 67 0 6 0 0 0
      Social sciences 125 86 0 39 0 0 0
        Anthropology 0 0 0 0 0 0 0
        Economics 86 86 0 0 0 0 0
        Political science and government 0 0 0 0 0 0 0
        Sociology, demography, and population studies 21 0 0 21 0 0 0
        Social sciences nec 18 0 0 18 0 0 0
      Sciences nec 0 0 0 0 0 0 0
    Engineering 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0
      Bioengineering and biomedical engineering 0 0 0 0 0 0 0
      Chemical engineering 0 0 0 0 0 0 0
      Civil engineering 0 0 0 0 0 0 0
      Electrical, electronic, and communications engineering 0 0 0 0 0 0 0
      Industrial and manufacturing engineering 0 0 0 0 0 0 0
      Mechanical engineering 0 0 0 0 0 0 0
      Metallurgical and materials engineering 0 0 0 0 0 0 0
      Engineering nec 0 0 0 0 0 0 0
    Non-S&E 4,071 3,672 0 321 0 78 0
      Business management and business administration 0 0 0 0 0 0 0
      Communication and communications technologies 0 0 0 0 0 0 0
      Education 3,707 3,513 0 127 0 67 0
      Humanities 302 157 0 134 0 11 0
      Law 0 0 0 0 0 0 0
      Social work 0 0 0 0 0 0 0
      Visual and performing arts 0 0 0 0 0 0 0
      Non-S&E nec 62 2 0 60 0 0 0

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Prior to FY 2016, expenditures for natural resources and conservation, materials science, anthropology, and industrial and manufacturing engineering were not collected separately. R&D expenditures in agricultural sciences decreased in FY 2016 because a number of disciplines previously reported in that field are now reported separately under natural resources and conservation.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Federally funded R&D expenditures, by federal agency: 2023–14
(Dollars in thousands)
Source of funds 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
Federal Agencies 7,133 2,672 2,072 2,596 3,917 2,637 4,058 1,419 962 1,137
  DOD 0 0 0 0 0 0 0 0 0 0
  DOE 0 0 0 0 0 0 0 0 0 0
  HHS 3,408 1,434 1,213 1,564 2,338 1,252 1,918 540 401 905
  NASA 0 0 10 8 0 0 0 0 0 0
  NSF 2,131 883 697 987 1,448 1,355 1,493 386 184 232
  USDA 0 0 0 1 0 0 0 0 0 0
  Other 1,594 355 152 36 131 30 647 493 377 0

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, Higher Education R&D Survey

Headcount of R&D personnel: 2023–17 [temporarily discontinued]
Year
2023 . . . .
2022 . . . .
2021 . . . .
2020 . . . .
2019 96 i 83 i 13 i .
2018 105 i 71 i 34 i .
2017 337 i 95 242 i .

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, Higher Education R&D Survey

Science and engineering research space in academic institutions, by field: 2023–14
(Net assignable square feet in thousands)
Field, medical school space, and research animal space 2023 2021 2019 2017 2015
  All research space 62 62 62 58 i 69 i
    Agricultural sciences 0 0 0 0 i 0 i
    Biological and biomedical sciences 9 9 9 24 i 32 i
    Computer and information sciences 4 4 4 5 i 4 i
    Engineering 0 0 0 0 i 0 i
    Geosciences, atmospheric sciences, and ocean sciences 0 0 0 0 i 0 i
    Health sciences 22 22 22 0 i 0 i
    Mathematics and statistics 3 3 3 3 i 3 i
    Natural resources and conservation 2 2 2 0 i 0 i
    Physical sciences 14 14 14 16 i 17 i
    Psychology 7 7 7 6 i 7 i
    Social sciences 0 0 0 5 i 6 i
    Other 2 2 2 0 i 0 i

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Data from the Survey of Science and Engineering Research Facilities is collected every two years.

SOURCE: National Center for Science and Engineering Statistics, Survey of Science and Engineering Research Facilities

New construction of science and engineering research space, by field and time of construction: 2025–16
(Net assignable square feet in thousands)

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Data from the Survey of Science and Engineering Research Facilities is collected every two years.

SOURCE: National Center for Science and Engineering Statistics, Survey of Science and Engineering Research Facilities

Costs for repair and renovation of science and engineering research space in academic institutions, by field and time of repair and renovation: 2025–16
(Dollars in thousands)
Field, medical school space, and research animal space Planned to start in FY 2024 or FY 2025 Started in FY 2022 or FY 2023 Started in FY 2020 or FY 2021 Started in FY 2018 or FY 2019 Started in FY 2016 or FY 2017
  All research space 0 0 0 0 0 i
    Agricultural sciences 0 0 0 0 0 i
    Biological and biomedical sciences 0 0 0 0 0 i
    Computer and information sciences 0 0 0 0 0 i
    Engineering 0 0 0 0 0 i
    Geosciences, atmospheric sciences, and ocean sciences 0 0 0 0 0 i
    Health sciences 0 0 0 0 0 i
    Mathematics and statistics 0 0 0 0 0 i
    Natural resources and conservation 0 0 0 0 0 i
    Physical sciences 0 0 0 0 0 i
    Psychology 0 0 0 0 0 i
    Social sciences 0 0 0 0 0 i
    Other 0 0 0 0 0 i

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Data from the Survey of Science and Engineering Research Facilities is collected every two years.

SOURCE: National Center for Science and Engineering Statistics, Survey of Science and Engineering Research Facilities

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