Prior Trends Continue in FY 2023 for Mentored Career Development Application (K) Funding Rates by Race and Ethnicity

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Mike Lauer headshot
Mike Lauer, M.D., Deputy Director for Extramural Research, NIH
Photo of Marie A. Bernard, M.D.
Marie A. Bernard, M.D., NIH Office of the Director/Chief Officer for Scientific Workforce Diversity

In March 2023, we showed that the number of Black and Hispanic mentored career development (K) applicants and awardees steadily increased from fiscal years (FYs) 2010 to 2022, though the overall numbers remained quite low. That said, the funding rates for Black applicants did increase in recent years. The data were generally promising because being awarded a K grant often precedes a larger NIH Research Project Grant (RPG). Here, we update some of these analyses with additional race and ethnicity data on designated principal investigators (PIs) from FY23 (the complete report is available here).

Please keep the following in mind when reading this post:

  • The data represent K01, K08, K23, K25, and K99 career development awards.
  • Demographic data on researchers were obtained from entries into the eRA Commons Personal Profile. These data are provided voluntarily and are not used to make funding decisions (read more here).
  • Native Hawaiian or Other Pacific Islanders as well as American Indian or Alaska Native researchers were excluded from these analyses due to small cell sizes. We do not publicly report sample sizes that are sufficiently small (<12), which is considered as potentially identifiable.
  • PIs are referred to as applicants or awardees for simplicity here. Please understand though that applicants and awardees are the organizations that designate PIs.

Below are award characteristics according to the race and ethnicity of scientists who were designated as a PI on at least one K application submitted in FY11 (Table 1), which is when the Ginther paper was published discussing race and ethnicity of NIH-supported principal investigators, and in FY23 (Table 2). Compared to White and Asian applicants, Black applicants in FY23 were more likely to submit a K01 application (a grant type that aims to enhance workforce diversity) as well as propose research that involves human participants.

Table 1: Characteristics according to race and ethnicity of scientists who were designated as a Principal Investigator on at least one K application in FY11.

Characteristic WhiteAsianUnknownHispanicBlack
Total N (%)* 1257 (53.3)554 (23.5)282 (12.0)121 (5.1)103 (4.4)
Female 587 (46.7)227 (41.0)108 (38.3)68 (56.2)66 (64.1)
Age (years)Median (IQR)36.0 (33.0 to 39.0)36.0 (34.0 to 39.0)36.0 (34.0 to 40.0)37.0 (35.0 to 40.0)37.0 (34.0 to 42.0)
DegreeM.D.336 (26.7)162 (29.2)41 (14.5)33 (27.3)34 (33.0)
 M.D.-Ph.D.158 (12.6)80 (14.4)26 (9.2)15 (12.4)9 (8.7)
 Other26 (2.1)20 (3.6)91 (32.3)4 (3.3)3 (2.9)
 Ph.D.737 (58.6)292 (52.7)124 (44.0)69 (57.0)57 (55.3)
Submitted a K01 application 215 (17.1)83 (15.0)51 (18.1)34 (28.1)44 (42.7)
Submitted a K08 application 244 (19.4)102 (18.4)41 (14.5)21 (17.4)6 (5.8)
Submitted a K23 application 341 (27.1)126 (22.7)46 (16.3)31 (25.6)37 (35.9)
Submitted a K25 application 37 (2.9)19 (3.4)18 (6.4)7 (5.8)1 (1.0)
Submitted a K99 application 424 (33.7)225 (40.6)126 (44.7)28 (23.1)16 (15.5)
Submitted a K animal research application 543 (43.2)272 (49.1)147 (52.1)44 (36.4)23 (22.3)
Submitted a K human research application 660 (52.5)261 (47.1)105 (37.2)71 (58.7)77 (74.8)

* excludes researchers who identify as having more than one race, so percentages do not add up to 100%  

Table 2: Characteristics according to race and ethnicity of scientists who were designated as a Principal Investigator on at least one K application in FY23.

Characteristic WhiteAsianHispanicUnknownBlack
Total N (%)* 1773 (49.7)984 (27.6)290 (8.1)258 (7.2)177 (5.0)
Female 1018 (57.4)479 (48.7)144 (49.7)61 (23.6)120 (67.8)
Age (years)Median (IQR)36.0 (34.0 to 39.0)36.0 (34.0 to 39.0)36.0 (34.0 to 39.0)36.0 (34.0 to 39.0)38.0 (34.0 to 41.0)
DegreeM.D.343 (19.3)168 (17.1)39 (13.4)37 (14.3)30 (16.9)
 M.D.-Ph.D.172 (9.7)110 (11.2)16 (5.5)21 (8.1)11 (6.2)
 Other197 (11.1)118 (12.0)56 (19.3)99 (38.4)30 (16.9)
 Ph.D.1061 (59.8)588 (59.8)179 (61.7)101 (39.1)106 (59.9)
Submitted an F99-K00 application 40 (2.3)30 (3.0)24 (8.3)9 (3.5)10 (5.6)
Submitted a K01 application 318 (17.9)122 (12.4)67 (23.1)35 (13.6)67 (37.9)
Submitted a K08 application 297 (16.8)141 (14.3)34 (11.7)52 (20.2)20 (11.3)
Submitted a K23 application 433 (24.4)129 (13.1)40 (13.8)42 (16.3)36 (20.3)
Submitted a K25 application 14 (0.8)14 (1.4)4 (1.4)0 (0.0)1 (0.6)
Submitted a K99 application 678 (38.2)550 (55.9)122 (42.1)120 (46.5)43 (24.3)
Submitted a K animal research application 559 (31.5)454 (46.1)135 (46.6)113 (43.8)42 (23.7)
Submitted a K human research application 1047 (59.1)418 (42.5)129 (44.5)117 (45.3)126 (71.2)

* excludes researchers who identify as having more than one race, so percentages do not add up to 100%  

Figure 1 shows the number of unique K applicants each fiscal year according to race and ethnicity. The numbers of Asian, Black/African American, and Hispanic applicants and awardees have steadily increased in recent years. Despite this growth, the overall number of Black/African American and Hispanic applicants remains quite low.

Figure 1: Number of K applicants according to race and ethnicity by fiscal year

Figure 1 is a line graph showing the number of K applicants according to race-ethnicity by fiscal year. The X axis is Fiscal Year from 2010 to 2023, while the Y axis is the number of K applicants from 0 to 1900. White applicants are plotted in red/orange circles, Asian applicants in yellow triangles, Hispanic applicants in blue bars, Black applicants in purple bars with crosshatch boxes, and Unknown applicants in green squares.

Figure 2 shows K funding rates according to race and ethnicity. Funding rates for Black/African American and Hispanic applicants have generally increased over the past three years.

Figure 2: Funding rates for K applicants according to race and ethnicity by fiscal year

Figure 2 is a line graph showing the funding rate of K applicants according to race-ethnicity by fiscal year. The X axis is Fiscal Year from 2010 to 2023, while the Y axis is funding rate from 0 to 48. White applicants are plotted in red/orange circles, Asian applicants in yellow triangles, Hispanic applicants in blue bars, Black applicants in purple bars with crosshatch boxes, and Unknown applicants in green squares.

Table 3 shows data for two NIH programs that help postdoctoral scholars transition to independent faculty positions: the Pathway to Independence (K99) award and Maximizing Opportunities for Scientific and Academic Independent Careers (MOSAIC) (a program to support a cohort of early career, independent investigators from diverse backgrounds). In FY23, the total number of Black/African American awardees (including for K99 and MOSAIC programs) fell from the previous year. Fewer Hispanic K99 awardees were also seen when compared to last year, but there were more total awardees and MOSAIC recipients.

Table 3: Total number of applicants and awardees for K99 and MOSAIC programs in FY22 and FY23

ApplicantsAwardees
TotalK99MOSAICTotalK99MOSAIC
Race or Ethnicity202220232022202320222023202220232022202320222023
Black or African American19517754432426887328181613
Hispanic284291133122384010412946431823

We remain pleased that the number of applicants from underrepresented groups, and their funding rates, continue to trend upward. We will continue assessing these groups as part of our focus on strengthening and diversifying the future biomedical workforce.

We are grateful to our colleagues in the NIH Office of Extramural Research Division of Statistical Analysis and Reporting (DSAR) for their help with these analyses.


3 Comments

  1. What does “unknown” race mean here? Is this people who do not provide a race and/or people who select “Other” and/or people who select more than one race?

    1. The Unknown group includes researchers who did not self-identify a particular race or ethnicity on their eRA personal profile.

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