explorer / gender

Author Gender in Best Novel Awards

Hugo and Nebula finalist entries by recorded author gender, including winners.
748
award entries in this view
244
entries by women · 33%
1979
first year women outnumbered men

Gender split by decade

Share of award entries with a recorded author gender. The 1950s and 2020s are partial decades.

WomenMenNon-binary
1950s
8%92%
n=13
1960s
96%
n=77
1970s
19%81%
n=118
1980s
17%83%
n=113
1990s
38%63%
n=112
2000s
27%73%
n=112
2010s
60%39%
n=119
2020s
65%30%
n=84

Year-by-year counts

Women above, men below; non-binary at the upper edge. Each bar counts one year’s award entries.

1950s: women 1 of 13 entries (8%); men 12 of 13 (92%); non-binary 0 of 13 (0%).1950s8%92%1960s: women 3 of 77 entries (4%); men 74 of 77 (96%); non-binary 0 of 77 (0%).1960s4%96%1970s: women 23 of 118 entries (19%); men 95 of 118 (81%); non-binary 0 of 118 (0%).1970s19%81%1980s: women 19 of 113 entries (17%); men 94 of 113 (83%); non-binary 0 of 113 (0%).1980s17%83%1990s: women 42 of 112 entries (38%); men 70 of 112 (63%); non-binary 0 of 112 (0%).1990s38%63%2000s: women 30 of 112 entries (27%); men 82 of 112 (73%); non-binary 0 of 112 (0%).2000s27%73%2010s: women 71 of 119 entries (60%); men 46 of 119 (39%); non-binary 2 of 119 (2%).2010s60%39%2020s: women 55 of 84 entries (65%); men 25 of 84 (30%); non-binary 4 of 84 (5%).2020s65%30%1953: women 0 of 1 entries (0%); men 1 of 1 (100%); non-binary 0 of 1 (0%).1954: women 0 of 0 entries (0%); men 0 of 0 (0%); non-binary 0 of 0 (0%).1955: women 0 of 1 entries (0%); men 1 of 1 (100%); non-binary 0 of 1 (0%).1956: women 1 of 5 entries (20%); men 4 of 5 (80%); non-binary 0 of 5 (0%).1957: women 0 of 0 entries (0%); men 0 of 0 (0%); non-binary 0 of 0 (0%).1958: women 0 of 1 entries (0%); men 1 of 1 (100%); non-binary 0 of 1 (0%).1959: women 0 of 5 entries (0%); men 5 of 5 (100%); non-binary 0 of 5 (0%).1960: women 0 of 5 entries (0%); men 5 of 5 (100%); non-binary 0 of 5 (0%).1961: women 0 of 5 entries (0%); men 5 of 5 (100%); non-binary 0 of 5 (0%).1962: women 0 of 5 entries (0%); men 5 of 5 (100%); non-binary 0 of 5 (0%).1963: women 1 of 5 entries (20%); men 4 of 5 (80%); non-binary 0 of 5 (0%).1964: women 1 of 5 entries (20%); men 4 of 5 (80%); non-binary 0 of 5 (0%).1965: women 0 of 4 entries (0%); men 4 of 4 (100%); non-binary 0 of 4 (0%).1966: women 0 of 17 entries (0%); men 17 of 17 (100%); non-binary 0 of 17 (0%).1967: women 0 of 9 entries (0%); men 9 of 9 (100%); non-binary 0 of 9 (0%).1968: women 0 of 10 entries (0%); men 10 of 10 (100%); non-binary 0 of 10 (0%).1969: women 1 of 12 entries (8%); men 11 of 12 (92%); non-binary 0 of 12 (0%).1970: women 2 of 11 entries (18%); men 9 of 11 (82%); non-binary 0 of 11 (0%).1971: women 1 of 11 entries (9%); men 10 of 11 (91%); non-binary 0 of 11 (0%).1972: women 4 of 11 entries (36%); men 7 of 11 (64%); non-binary 0 of 11 (0%).1973: women 0 of 13 entries (0%); men 13 of 13 (100%); non-binary 0 of 13 (0%).1974: women 0 of 10 entries (0%); men 10 of 10 (100%); non-binary 0 of 10 (0%).1975: women 2 of 9 entries (22%); men 7 of 9 (78%); non-binary 0 of 9 (0%).1976: women 5 of 23 entries (22%); men 18 of 23 (78%); non-binary 0 of 23 (0%).1977: women 3 of 11 entries (27%); men 8 of 11 (73%); non-binary 0 of 11 (0%).1978: women 1 of 10 entries (10%); men 9 of 10 (90%); non-binary 0 of 10 (0%).1979: women 5 of 9 entries (56%); men 4 of 9 (44%); non-binary 0 of 9 (0%).1980: women 2 of 11 entries (18%); men 9 of 11 (82%); non-binary 0 of 11 (0%).1981: women 2 of 11 entries (18%); men 9 of 11 (82%); non-binary 0 of 11 (0%).1982: women 4 of 11 entries (36%); men 7 of 11 (64%); non-binary 0 of 11 (0%).1983: women 1 of 12 entries (8%); men 11 of 12 (92%); non-binary 0 of 12 (0%).1984: women 3 of 11 entries (27%); men 8 of 11 (73%); non-binary 0 of 11 (0%).1985: women 0 of 11 entries (0%); men 11 of 11 (100%); non-binary 0 of 11 (0%).1986: women 1 of 12 entries (8%); men 11 of 12 (92%); non-binary 0 of 12 (0%).1987: women 2 of 11 entries (18%); men 9 of 11 (82%); non-binary 0 of 11 (0%).1988: women 1 of 11 entries (9%); men 10 of 11 (91%); non-binary 0 of 11 (0%).1989: women 3 of 12 entries (25%); men 9 of 12 (75%); non-binary 0 of 12 (0%).1990: women 3 of 11 entries (27%); men 8 of 11 (73%); non-binary 0 of 11 (0%).1991: women 4 of 11 entries (36%); men 7 of 11 (64%); non-binary 0 of 11 (0%).1992: women 7 of 12 entries (58%); men 5 of 12 (42%); non-binary 0 of 12 (0%).1993: women 6 of 11 entries (55%); men 5 of 11 (45%); non-binary 0 of 11 (0%).1994: women 2 of 10 entries (20%); men 8 of 10 (80%); non-binary 0 of 10 (0%).1995: women 4 of 12 entries (33%); men 8 of 12 (67%); non-binary 0 of 12 (0%).1996: women 2 of 11 entries (18%); men 9 of 11 (82%); non-binary 0 of 11 (0%).1997: women 5 of 11 entries (45%); men 6 of 11 (55%); non-binary 0 of 11 (0%).1998: women 4 of 12 entries (33%); men 8 of 12 (67%); non-binary 0 of 12 (0%).1999: women 5 of 11 entries (45%); men 6 of 11 (55%); non-binary 0 of 11 (0%).2000: women 4 of 11 entries (36%); men 7 of 11 (64%); non-binary 0 of 11 (0%).2001: women 5 of 11 entries (45%); men 6 of 11 (55%); non-binary 0 of 11 (0%).2002: women 5 of 14 entries (36%); men 9 of 14 (64%); non-binary 0 of 14 (0%).2003: women 2 of 11 entries (18%); men 9 of 11 (82%); non-binary 0 of 11 (0%).2004: women 6 of 11 entries (55%); men 5 of 11 (45%); non-binary 0 of 11 (0%).2005: women 2 of 11 entries (18%); men 9 of 11 (82%); non-binary 0 of 11 (0%).2006: women 1 of 11 entries (9%); men 10 of 11 (91%); non-binary 0 of 11 (0%).2007: women 3 of 11 entries (27%); men 8 of 11 (73%); non-binary 0 of 11 (0%).2008: women 1 of 10 entries (10%); men 9 of 10 (90%); non-binary 0 of 10 (0%).2009: women 1 of 11 entries (9%); men 10 of 11 (91%); non-binary 0 of 11 (0%).2010: women 4 of 12 entries (33%); men 8 of 12 (67%); non-binary 0 of 12 (0%).2011: women 11 of 13 entries (85%); men 2 of 13 (15%); non-binary 0 of 13 (0%).2012: women 6 of 11 entries (55%); men 5 of 11 (45%); non-binary 0 of 11 (0%).2013: women 6 of 11 entries (55%); men 5 of 11 (45%); non-binary 0 of 11 (0%).2014: women 8 of 13 entries (62%); men 5 of 13 (38%); non-binary 0 of 13 (0%).2015: women 4 of 11 entries (36%); men 7 of 11 (64%); non-binary 0 of 11 (0%).2016: women 7 of 12 entries (58%); men 5 of 12 (42%); non-binary 0 of 12 (0%).2017: women 8 of 11 entries (73%); men 3 of 11 (27%); non-binary 0 of 11 (0%).2018: women 8 of 13 entries (62%); men 4 of 13 (31%); non-binary 1 of 13 (8%).2019: women 9 of 12 entries (75%); men 2 of 12 (17%); non-binary 1 of 12 (8%).2020: women 11 of 12 entries (92%); men 1 of 12 (8%); non-binary 0 of 12 (0%).2021: women 11 of 12 entries (92%); men 0 of 12 (0%); non-binary 1 of 12 (8%).2022: women 6 of 11 entries (55%); men 4 of 11 (36%); non-binary 1 of 11 (9%).2023: women 8 of 12 entries (67%); men 4 of 12 (33%); non-binary 0 of 12 (0%).2024: women 7 of 12 entries (58%); men 4 of 12 (33%); non-binary 1 of 12 (8%).2025: women 5 of 12 entries (42%); men 7 of 12 (58%); non-binary 0 of 12 (0%).2026: women 7 of 13 entries (54%); men 5 of 13 (38%); non-binary 1 of 13 (8%).Women ↑Men ↓99

Hugo and Nebula compared

One square = one award entry. Award is shown by column; colour shows gender.

WomenMenNon-binary

Hugo

106 women · 29%256 men · 71%1 non-binary · 0%

Nebula

138 women · 36%242 men · 63%5 non-binary · 1%

How to read these charts

Award entries

A novel shortlisted by both awards contributes an entry to each.

Recorded gender

Gender uses recorded public information. Collaborations and pen names limit person-level comparisons.

Coverage

These ballots do not represent all books published, read or sold. Read the dataset methods →

Experimental

Experimental: Gender × Subgenre

These charts combine recorded gender with unvalidated subgenre tags. Counts are unique books, dated to their first selected award entry. Read the dataset methods →

Female share, compared with era

Observed share minus the decade-weighted baseline. At least 15 books per tag; only recorded men and women enter these percentages.

Historical Fantasy: 70% recorded female share versus a 51% decade-weighted baseline, a +19 percentage-point difference, among 20 unique books.Historical Fantasy+19ppn=20Urban Fantasy: 53% recorded female share versus a 44% decade-weighted baseline, a +9 percentage-point difference, among 17 unique books.Urban Fantasy+9ppn=17Epic Fantasy: 48% recorded female share versus a 41% decade-weighted baseline, a +7 percentage-point difference, among 81 unique books.Epic Fantasy+7ppn=81Social SF: 33% recorded female share versus a 28% decade-weighted baseline, a +5 percentage-point difference, among 198 unique books.Social SF+5ppn=198Dark Fantasy: 44% recorded female share versus a 43% decade-weighted baseline, a +1 percentage-point difference, among 25 unique books.Dark Fantasy+1ppn=25Dystopian: 23% recorded female share versus a 24% decade-weighted baseline, a -1 percentage-point difference, among 40 unique books.Dystopian-1ppn=40Alternate History: 27% recorded female share versus a 29% decade-weighted baseline, a -2 percentage-point difference, among 26 unique books.Alternate History-2ppn=26Post-Apocalyptic: 22% recorded female share versus a 25% decade-weighted baseline, a -3 percentage-point difference, among 45 unique books.Post-Apocalyptic-3ppn=45Military SF: 29% recorded female share versus a 32% decade-weighted baseline, a -3 percentage-point difference, among 24 unique books.Military SF-3ppn=24Time Travel: 24% recorded female share versus a 28% decade-weighted baseline, a -4 percentage-point difference, among 29 unique books.Time Travel-4ppn=29Space Opera: 22% recorded female share versus a 36% decade-weighted baseline, a -14 percentage-point difference, among 60 unique books.Space Opera-14ppn=60Mystery/Thriller: 20% recorded female share versus a 35% decade-weighted baseline, a -15 percentage-point difference, among 30 unique books.Mystery/Thriller-15ppn=30Cyberpunk: 10% recorded female share versus a 32% decade-weighted baseline, a -22 percentage-point difference, among 39 unique books.Cyberpunk-22ppn=39First Contact: 5% recorded female share versus a 33% decade-weighted baseline, a -28 percentage-point difference, among 19 unique books.First Contact-28ppn=19Hard SF: 7% recorded female share versus a 35% decade-weighted baseline, a -28 percentage-point difference, among 29 unique books.Hard SF-28ppn=29Decade baseline

Female share by subgenre group

Share of unique books by authors recorded as women, among recorded men and women. Cells with fewer than five books are suppressed.

Group1953–791980–992000–092010–172018–26
Hard edge0%n=1311%n=360%n=1710%n=10—n=3
Space opera / military16%n=1922%n=239%n=1131%n=1355%n=11
Apoc / dystopian17%n=3515%n=2717%n=657%n=7—n=3
Social SF13%n=7836%n=5835%n=2671%n=1768%n=19
Fantasy13%n=844%n=3438%n=2665%n=2671%n=38

Subgenre mix by period

Share of group assignments, including “other”. A book can enter several groups; these are assignments rather than shares of all books.

Hard edgeSpace opera / militaryApoc / dystopianSocial SFFantasy
1953–79
8%11%20%45%12%
164 books
1980–99
19%12%14%30%18%8%
173 books
2000–09
16%11%25%25%17%
98 books
2010–17
13%17%9%22%34%
74 books
2018–26
13%23%48%9%
85 books

Patterns in These Tags

Among books whose authors are classified as men or women, the female share rose from 8% in the 1950s to 66% in the 2020s. Within the hard-edge group, the female share never exceeded 11% in a reported period. The group appeared on 21% of finalist books in 1980–99 and 4% in 2018–26.

The fantasy group appeared on 5% of unique finalist books in 1953–79 and 49% in 2018–26. The recorded female share also increased over that span. This is an association in these tags, not evidence that one change caused the other.

The female share within the space-opera and military-SF group ranged between 9% and 31% in the earlier reported periods. It reached 55% in 2018–26.

Counts are unique books: a novel listed by both awards counts once, and only books by male or female authors enter the percentages. The 6 books by non-binary authors are too few for stable shares and sit outside these figures. A book tagged with several subgenres counts in each. The data measures what award voters rewarded, not what the field published, and the most recent cells are small. Treat this section as exploratory.

2025–2026 entries have 61% more subgenre tags per entry than 2023–2024 entries. This uneven coverage affects comparisons by period.