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Data

U. Pennsylvania

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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   1,499   1,455   1,391   1,365   1,267   1,307   1,260   1,647   1,742 i   1,768 i
    Female   1,472   1,363   1,185   1,151   1,080   1,020   982   1,260   1,356 i   1,310 i
  U.S. citizens and permanent residents   1,979   1,892   1,708   1,682   1,551   1,559   1,505   1,830   2,010 i   1,954 i
    Hispanic or Latino   268   236   241   206   196   183   164   142   124 i   106 i
    Not Hispanic or Latino   1,651   1,585   1,453   1,464   1,350   1,372   1,334   1,659   1,850 i   1,805 i
      American Indian or Alaska Native   3   2   0   4   0   5   0   4   5 i   6 i
      Asian   397   365   314   304   257   242   232   296   304 i   306 i
      Black or African American   149   124   99   87   72   76   66   97   123 i   91 i
      Native Hawaiian or Other Pacific Islander   1   1   1   4   0   5   0   1   12 i   3 i
      White   1,028   1,030   975   1,003   959   1,009   968   1,208   1,340 i   1,346 i
      More than one race   73   63   64   62   62   35   68   53   66 i   53 i
    Unknown ethnicity and race   60   71   14   12   5   4   7   29   36 i   43 i
  Temporary visa holders   992   926   868   834   796   768   737   1,077   1,088 i   1,124 i
  Science and engineering   2,921   2,768   2,576   2,516   2,347   2,327   2,242   2,794   3,006 i   3,008 i
    Science   2,237   2,152   1,982   1,988   1,911   1,895   1,849   2,041   2,319 i   2,225 i
      Agricultural and veterinary sciences   0   0   0   0   0   0   0   0   168 i   59 i
      Biological and biomedical sciences   1,106   1,084   1,026   923   949   876   836   739   712 i   728 i
      Communication   0   0   0   0   0   0   0   83   92 i   83 i
      Computer and information sciences   203   176   163   152   139   122   117   108   105 i   114 i
      Family and consumer sciences and human sciences   0   0   0   0   0   0   0   0   0 i   0 i
      Geosciences, atmospheric, and ocean sciences   20   17   13   17   15   14   13   13   14 i   17 i
      Mathematics and statistics   159   132   110   110   115   100   92   114   107 i   106 i
      Multidisciplinary and interdisciplinary sciences   2   0   0   1   6   0   12   25   31 i   28 i
      Natural resources and conservation   0   0   0   0   0   0   0   0   0 i   0 i
      Physical sciences   309   291   287   292   199   286   274   256   272 i   261 i
      Psychology   67   65   68   65   53   51   52   60   59 i   62 i
      Social sciences   371   387   315   428   435   446   453   527   649 i   650 i
    Engineering   684   616   594   528   436   432   393   753   687 i   783 i
      Aerospace, aeronautical, and astronautical engineering   0   0   0   0   0   0   0   0   0 i   0 i
      Biological, biomedical, and biosystems engineering   329   259   219   181   143   125   114   194   170 i   179 i
      Chemical, petroleum, and chemical-related engineering   91   90   96   96   80   81   68   114   96 i   111 i
      Civil, environmental, transportation and related engineering fields   0   0   0   0   0   0   0   0   0 i   0 i
      Electrical, electronics, communications and computer engineering   125   127   131   120   100   95   90   82   84 i   80 i
      Industrial, manufacturing, systems engineering and operations research   0   0   0   0   0   0   0   0   0 i   80 i
      Mechanical engineering   80   86   87   79   62   73   69   210   202 i   162 i
      Metallurgical, mining, materials and related engineering fields   59   54   61   52   51   58   52   127   109 i   148 i
      Other engineering   0   0   0   0   0   0   0   26   26 i   23 i
  Health   50   50   0   0   0   0   0   113   92 i   70 i
    Clinical medicine   0   0   0   0   0   0   0   113   92 i   70 i
    Other health   50   50   0   0   0   0   0   0   0 i   0 i

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).

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

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