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Saint Mary's U. Minnesota

Rankings

Data year Earned doctorates Full-time graduate students Total R&D expenditures Research space
Rank Percentile Institutions ranked Rank Percentile Institutions ranked Rank Percentile Institutions ranked Rank Percentile Institutions ranked
2024 640 31.5 925
2023 285 58.5 679 721 21.7 911
2022 291 57.7 680 678 25.4 900
2021 235 66.4 691 713 22.3 908
2020 227 67.9 698 721 22.1 916
2019 236 66.6 697 732 20.7 914
2018 219 69.1 700 717 22.1 911
2017 255 63.2 684 898 1 898
2016 580 17.6 697 737 18.6 896
2015 546 22 693
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

Full-time graduate students in science, engineering, and health, by selected characteristics: 2024–15
All races 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
  U.S. citizens and permanent residents . 390 354 465 442 415 469 342 31 39
    Hispanic or Latino . 15 11 23 23 25 23 13 1 1
    Not Hispanic or Latino . 301 289 355 352 349 371 284 19 29
      American Indian or Alaska Native . 3 2 1 1 0 1 1 0 0
      Asian . 20 19 14 13 12 19 19 0 1
      Black or African American . 51 39 41 55 66 77 42 3 3
      Native Hawaiian or Other Pacific Islander . 0 1 1 1 0 0 0 0 0
      White . 227 228 298 280 269 273 220 16 25
      More than one race . 0 0 0 2 2 1 2 0 0
    Unknown ethnicity and race . 74 54 87 67 41 75 45 11 9
  Temporary visa holders . 4 5 1 0 9 25 29 4 11
  Science and engineering . 362 325 423 406 407 484 371 35 50
    Science . 362 325 423 406 407 484 371 35 50
      Agricultural and veterinary sciences . 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences . 0 0 0 0 0 0 0 0 0
      Communication . 0 0 0 0 0 0 0 0 0
      Computer and information sciences . 39 19 25 41 53 66 29 0 0
      Family and consumer sciences and human sciences . 0 0 0 0 0 0 0 0 17
      Geosciences, atmospheric, and ocean sciences . 0 0 0 0 0 0 0 0 0
      Mathematics and statistics . 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences . 0 0 0 0 0 0 0 0 0
      Natural resources and conservation . 0 0 0 0 0 0 0 0 0
      Physical sciences . 0 0 0 0 0 0 0 0 0
      Psychology . 317 298 386 347 316 344 297 0 0
      Social sciences . 6 8 12 18 38 74 45 35 33
    Engineering . 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering . 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering . 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering . 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
      Electrical, electronics, communications and computer engineering . 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
      Mechanical engineering . 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
      Other engineering . 0 0 0 0 0 0 0 0 0
    Health . 32 34 43 36 17 10 0 0 0
      Clinical medicine . 32 34 43 36 17 10 0 0 0
      Other health . 0 0 0 0 0 0 0 0 0

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: 2024–15
All races 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
  U.S. citizens and permanent residents . 125 205 150 169 178 198 150 60 78
    Hispanic or Latino . 7 10 9 13 10 10 2 3 2
    Not Hispanic or Latino . 97 160 122 126 149 148 120 35 62
      American Indian or Alaska Native . 1 1 2 0 2 1 1 1 0
      Asian . 6 6 2 4 9 6 4 2 1
      Black or African American . 18 32 37 30 27 29 19 4 4
      Native Hawaiian or Other Pacific Islander . 1 1 1 0 0 0 0 0 0
      White . 71 120 80 91 111 112 94 28 57
      More than one race . 0 0 0 1 0 0 2 0 0
    Unknown ethnicity and race . 21 35 19 30 19 40 28 22 14
  Temporary visa holders . 0 0 0 0 2 3 7 5 1
  Science and engineering . 121 190 129 160 173 199 157 65 79
    Science . 121 190 129 160 173 199 157 65 79
      Agricultural and veterinary sciences . 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences . 0 0 0 0 0 0 0 0 0
      Communication . 0 0 0 0 0 0 0 0 0
      Computer and information sciences . 4 9 8 11 9 10 10 0 0
      Family and consumer sciences and human sciences . 0 0 0 0 0 0 0 47 52
      Geosciences, atmospheric, and ocean sciences . 0 0 0 0 0 0 0 0 0
      Mathematics and statistics . 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences . 0 0 0 0 0 0 0 0 0
      Natural resources and conservation . 0 0 0 0 0 0 0 0 0
      Physical sciences . 0 0 0 0 0 0 0 0 0
      Psychology . 113 174 107 134 122 128 92 0 0
      Social sciences . 4 7 14 15 42 61 55 18 27
    Engineering . 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering . 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering . 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering . 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
      Electrical, electronics, communications and computer engineering . 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
      Mechanical engineering . 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
      Other engineering . 0 0 0 0 0 0 0 0 0
    Health . 4 15 21 9 7 2 0 0 0
      Clinical medicine . 4 15 21 9 7 2 0 0 0
      Other health . 0 0 0 0 0 0 0 0 0

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: 2024–15
Field 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
All surveyed fields . 0 0 0 0 0 0 0 0 0
  Science and engineering . 0 0 0 0 0 0 0 0 0
    Science . 0 0 0 0 0 0 0 0 0
      Agricultural and veterinary sciences . 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences . 0 0 0 0 0 0 0 0 0
      Communication . 0 0 0 0 0 0 0 0 0
      Computer and information sciences . 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
      Geosciences, atmospheric, and ocean sciences . 0 0 0 0 0 0 0 0 0
      Mathematics and statistics . 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences . 0 0 0 0 0 0 0 0 0
      Natural resources and conservation . 0 0 0 0 0 0 0 0 0
      Physical sciences . 0 0 0 0 0 0 0 0 0
      Psychology . 0 0 0 0 0 0 0 0 0
      Social sciences . 0 0 0 0 0 0 0 0 0
    Engineering . 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering . 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering . 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering . 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
      Electrical, electronics, communications and computer engineering . 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
      Mechanical engineering . 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
      Other engineering . 0 0 0 0 0 0 0 0 0
    Health . 0 0 0 0 0 0 0 0 0
      Clinical medicine . 0 0 0 0 0 0 0 0 0
      Other health . 0 0 0 0 0 0 0 0 0

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: 2024–15
Type and primary source of support 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
All types and sources of support . 394 359 466 442 424 494 371 35 50
  Fellowships . 0 0 0 0 0 0 0 0 0
    Federal . 0 0 0 0 0 0 0 0 0
    Institutional . 0 0 0 0 0 0 0 0 0
    Nonfederal . 0 0 0 0 0 0 0 0 0
  Research assistantships . 0 0 0 0 0 0 0 0 0
    Federal . 0 0 0 0 0 0 0 0 0
    Institutional . 0 0 0 0 0 0 0 0 0
    Nonfederal . 0 0 0 0 0 0 0 0 0
  Teaching assistantships . 0 0 0 0 0 0 0 0 0
    Federal . 0 0 0 0 0 0 0 0 0
    Institutional . 0 0 0 0 0 0 0 0 0
    Nonfederal . 0 0 0 0 0 0 0 0 0
  Other types of support . 394 359 466 442 424 494 371 35 50
    Federal . 0 0 0 0 0 0 0 0 0
    Institutional . 0 0 0 0 0 0 0 0 0
    Nonfederal . 0 0 0 0 0 0 0 0 0
    Personal resources . 394 359 466 442 424 494 371 35 50

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: 2024–15
All races 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
  Science and engineering . 0 0 0 0 0 0 0 0 0
    Science . 0 0 0 0 0 0 0 0 0
      Agricultural and veterinary sciences . 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences . 0 0 0 0 0 0 0 0 0
      Communication . 0 0 0 0 0 0 0 0 0
      Computer and information sciences . 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
      Geosciences, atmospheric, and ocean sciences . 0 0 0 0 0 0 0 0 0
      Mathematics and statistics . 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences . 0 0 0 0 0 0 0 0 0
      Natural resources and conservation . 0 0 0 0 0 0 0 0 0
      Physical sciences . 0 0 0 0 0 0 0 0 0
      Psychology . 0 0 0 0 0 0 0 0 0
      Social sciences . 0 0 0 0 0 0 0 0 0
    Engineering . 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering . 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering . 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering . 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
      Electrical, electronics, communications and computer engineering . 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
      Mechanical engineering . 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
      Other engineering . 0 0 0 0 0 0 0 0 0
    Health . 0 0 0 0 0 0 0 0 0
      Clinical medicine . 0 0 0 0 0 0 0 0 0
      Other health . 0 0 0 0 0 0 0 0 0

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: 2024–15
Field 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
All surveyed fields . 0 0 0 0 0 0 0 0 0
  Science and engineering . 0 0 0 0 0 0 0 0 0
    Science . 0 0 0 0 0 0 0 0 0
      Agricultural and veterinary sciences . 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences . 0 0 0 0 0 0 0 0 0
      Communication . 0 0 0 0 0 0 0 0 0
      Computer and information sciences . 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
      Geosciences, atmospheric, and ocean sciences . 0 0 0 0 0 0 0 0 0
      Mathematics and statistics . 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences . 0 0 0 0 0 0 0 0 0
      Natural resources and conservation . 0 0 0 0 0 0 0 0 0
      Physical sciences . 0 0 0 0 0 0 0 0 0
      Psychology . 0 0 0 0 0 0 0 0 0
      Social sciences . 0 0 0 0 0 0 0 0 0
    Engineering . 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering . 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering . 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering . 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
      Electrical, electronics, communications and computer engineering . 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
      Mechanical engineering . 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
      Other engineering . 0 0 0 0 0 0 0 0 0
    Health . 0 0 0 0 0 0 0 0 0
      Clinical medicine . 0 0 0 0 0 0 0 0 0
      Other health . 0 0 0 0 0 0 0 0 0

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: 2024–15
(Dollars in thousands)
Field 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
  All R&D fields 1,480 789 889 640 610 603 680 153 549 .
    Science 1,480 789 889 640 610 603 680 153 549 .
      Computer and information sciences 0 0 0 0 0 0 0 0 0 .
      Geosciences, atmospheric sciences, and ocean sciences 0 0 0 0 0 0 0 0 0 .
        Atmospheric science and meteorology 0 0 0 0 0 0 0 0 0 .
        Geological and earth sciences 0 0 0 0 0 0 0 0 0 .
        Ocean sciences and marine sciences 0 0 0 0 0 0 0 0 0 .
        Geosciences, atmospheric sciences, and ocean sciences nec 0 0 0 0 0 0 0 0 0 .
      Life sciences 0 0 0 0 0 0 0 0 0 .
        Agricultural sciences 0 0 0 0 0 0 0 0 0 .
        Biological and biomedical sciences 0 0 0 0 0 0 0 0 0 .
        Health sciences 0 0 0 0 0 0 0 0 0 .
        Natural resources and conservation 0 0 0 0 0 0 0 0 0 .
        Life sciences nec 0 0 0 0 0 0 0 0 0 .
      Mathematics and statistics 0 0 0 0 0 0 0 0 0 .
      Physical sciences 1,480 789 889 640 610 603 680 153 549 .
        Astronomy and astrophysics 0 0 0 0 0 0 0 0 0 .
        Chemistry 0 0 0 0 0 0 0 0 0 .
        Materials science 0 0 0 0 0 0 0 0 0 .
        Physics 0 0 0 0 0 0 0 0 0 .
        Physical sciences nec 0 0 0 0 0 0 0 0 0 .
      Psychology 0 0 0 0 0 0 0 0 0 .
      Social sciences 0 0 0 0 0 0 0 0 0 .
        Anthropology 0 0 0 0 0 0 0 0 0 .
        Economics 0 0 0 0 0 0 0 0 0 .
        Political science and government 0 0 0 0 0 0 0 0 0 .
        Sociology, demography, and population studies 0 0 0 0 0 0 0 0 0 .
        Social sciences nec 0 0 0 0 0 0 0 0 0 .
      Sciences nec 0 0 0 0 0 0 0 0 0 .
    Engineering 0 0 0 0 0 0 0 0 0 .
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0 0 0 .
      Bioengineering and biomedical engineering 0 0 0 0 0 0 0 0 0 .
      Chemical engineering 0 0 0 0 0 0 0 0 0 .
      Civil engineering 0 0 0 0 0 0 0 0 0 .
      Electrical, electronic, and communications engineering 0 0 0 0 0 0 0 0 0 .
      Industrial and manufacturing engineering 0 0 0 0 0 0 0 0 0 .
      Mechanical engineering 0 0 0 0 0 0 0 0 0 .
      Metallurgical and materials engineering 0 0 0 0 0 0 0 0 0 .
      Engineering nec 0 0 0 0 0 0 0 0 0 .
    Non-S&E 0 0 0 0 0 0 0 0 0 .
      Business management and business administration 0 0 0 0 0 0 0 0 0 .
      Communication and communications technologies 0 0 0 0 0 0 0 0 0 .
      Education 0 0 0 0 0 0 0 0 0 .
      Humanities 0 0 0 0 0 0 0 0 0 .
      Law 0 0 0 0 0 0 0 0 0 .
      Social work 0 0 0 0 0 0 0 0 0 .
      Visual and performing arts 0 0 0 0 0 0 0 0 0 .
      Non-S&E nec 0 0 0 0 0 0 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

Total R&D expenditures, by source of funds and R&D field: 2024
(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 1,480 822 . . . 0 0
    Science 1,480 822 . . . 0 0
      Computer and information sciences 0 0 . . . 0 0
      Geosciences, atmospheric sciences, and ocean sciences 0 0 . . . 0 0
        Atmospheric science and meteorology 0 0 . . . 0 0
        Geological and earth sciences 0 0 . . . 0 0
        Ocean sciences and marine sciences 0 0 . . . 0 0
        Geosciences, atmospheric sciences, and ocean sciences nec 0 0 . . . 0 0
      Life sciences 0 0 . . . 0 0
        Agricultural sciences 0 0 . . . 0 0
        Biological and biomedical sciences 0 0 . . . 0 0
        Health sciences 0 0 . . . 0 0
        Natural resources and conservation 0 0 . . . 0 0
        Life sciences nec 0 0 . . . 0 0
      Mathematics and statistics 0 0 . . . 0 0
      Physical sciences 1,480 822 . . . 0 0
        Astronomy and astrophysics 0 0 . . . 0 0
        Chemistry 0 0 . . . 0 0
        Materials science 0 0 . . . 0 0
        Physics 0 0 . . . 0 0
        Physical sciences nec 0 0 . . . 0 0
      Psychology 0 0 . . . 0 0
      Social sciences 0 0 . . . 0 0
        Anthropology 0 0 . . . 0 0
        Economics 0 0 . . . 0 0
        Political science and government 0 0 . . . 0 0
        Sociology, demography, and population studies 0 0 . . . 0 0
        Social sciences nec 0 0 . . . 0 0
      Sciences nec 0 0 . . . 0 0
    Engineering 0 0 . . . 0 0
      Aerospace, aeronautical, and astronautical engineering 0 0 . . . 0 0
      Bioengineering and biomedical engineering 0 0 . . . 0 0
      Chemical engineering 0 0 . . . 0 0
      Civil engineering 0 0 . . . 0 0
      Electrical, electronic, and communications engineering 0 0 . . . 0 0
      Industrial and manufacturing engineering 0 0 . . . 0 0
      Mechanical engineering 0 0 . . . 0 0
      Metallurgical and materials engineering 0 0 . . . 0 0
      Engineering nec 0 0 . . . 0 0
    Non-S&E 0 0 . . . 0 0
      Business management and business administration 0 0 . . . 0 0
      Communication and communications technologies 0 0 . . . 0 0
      Education 0 0 . . . 0 0
      Humanities 0 0 . . . 0 0
      Law 0 0 . . . 0 0
      Social work 0 0 . . . 0 0
      Visual and performing arts 0 0 . . . 0 0
      Non-S&E nec 0 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: 2024–15
(Dollars in thousands)
Source of funds 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
Federal Agencies . . . . . . . . . .
  DOD . . . . . . . . . .
  DOE . . . . . . . . . .
  HHS . . . . . . . . . .
  NASA . . . . . . . . . .
  NSF . . . . . . . . . .
  USDA . . . . . . . . . .
  Other . . . . . . . . . .

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: 2024–18 [temporarily discontinued]
Year
2024 . . . .
2023 . . . .
2022 . . . .
2021 . . . .
2020 . . . .
2019 . . . .
2018 . . . .

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

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