dimitrov.im/Sci-Fi Awards

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About the data

Coverage, counting rules, sources and limitations.

Coverage

748 Hugo and Nebula Best Novel award entries, representing 594 distinct books. Hugo records begin in 1953; Nebula records begin with the 1966 ceremony. Both run through 2026.

This is a record of award recognition. It does not measure all science fiction and fantasy published, read or sold.

HugoNebula
1953: Hugo 1 of 1 award entries (100%); Nebula 0 of 1 (0%).1954: Hugo 0 of 0 award entries (0%); no Hugo Best Novel presented; Nebula 0 of 0 (0%).1955: Hugo 1 of 1 award entries (100%); Nebula 0 of 1 (0%).1956: Hugo 5 of 5 award entries (100%); Nebula 0 of 5 (0%).1957: Hugo 0 of 0 award entries (0%); no Hugo Best Novel presented; Nebula 0 of 0 (0%).1958: Hugo 1 of 1 award entries (100%); Nebula 0 of 1 (0%).1959: Hugo 5 of 5 award entries (100%); Nebula 0 of 5 (0%).1960: Hugo 5 of 5 award entries (100%); Nebula 0 of 5 (0%).1961: Hugo 5 of 5 award entries (100%); Nebula 0 of 5 (0%).1962: Hugo 5 of 5 award entries (100%); Nebula 0 of 5 (0%).1963: Hugo 5 of 5 award entries (100%); Nebula 0 of 5 (0%).1964: Hugo 5 of 5 award entries (100%); Nebula 0 of 5 (0%).1965: Hugo 4 of 4 award entries (100%); Nebula 0 of 4 (0%).1966: Hugo 5 of 17 award entries (29%); Nebula 12 of 17 (71%).1967: Hugo 6 of 9 award entries (67%); Nebula 3 of 9 (33%).1968: Hugo 5 of 10 award entries (50%); Nebula 5 of 10 (50%).1969: Hugo 5 of 12 award entries (42%); Nebula 7 of 12 (58%).1970: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1971: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1972: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1973: Hugo 6 of 13 award entries (46%); Nebula 7 of 13 (54%).1974: Hugo 5 of 10 award entries (50%); Nebula 5 of 10 (50%).1975: Hugo 5 of 9 award entries (56%); Nebula 4 of 9 (44%).1976: Hugo 5 of 23 award entries (22%); Nebula 18 of 23 (78%).1977: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1978: Hugo 5 of 10 award entries (50%); Nebula 5 of 10 (50%).1979: Hugo 4 of 9 award entries (44%); Nebula 5 of 9 (56%).1980: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1981: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1982: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1983: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).1984: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1985: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1986: Hugo 5 of 12 award entries (42%); Nebula 7 of 12 (58%).1987: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1988: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1989: Hugo 5 of 12 award entries (42%); Nebula 7 of 12 (58%).1990: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1991: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1992: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).1993: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1994: Hugo 5 of 10 award entries (50%); Nebula 5 of 10 (50%).1995: Hugo 5 of 12 award entries (42%); Nebula 7 of 12 (58%).1996: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1997: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).1998: Hugo 5 of 12 award entries (42%); Nebula 7 of 12 (58%).1999: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2000: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2001: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2002: Hugo 6 of 14 award entries (43%); Nebula 8 of 14 (57%).2003: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2004: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2005: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2006: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2007: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2008: Hugo 5 of 10 award entries (50%); Nebula 5 of 10 (50%).2009: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2010: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).2011: Hugo 6 of 13 award entries (46%); Nebula 7 of 13 (54%).2012: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2013: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2014: Hugo 5 of 13 award entries (38%); Nebula 8 of 13 (62%).2015: Hugo 5 of 11 award entries (45%); Nebula 6 of 11 (55%).2016: Hugo 5 of 12 award entries (42%); Nebula 7 of 12 (58%).2017: Hugo 6 of 11 award entries (55%); Nebula 5 of 11 (45%).2018: Hugo 6 of 13 award entries (46%); Nebula 7 of 13 (54%).2019: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).2020: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).2021: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).2022: Hugo 6 of 11 award entries (55%); Nebula 5 of 11 (45%).2023: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).2024: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).2025: Hugo 6 of 12 award entries (50%); Nebula 6 of 12 (50%).2026: Hugo 6 of 13 award entries (46%); Nebula 7 of 13 (54%).1953196019701980199020002010202020261959 · separate nominations1966 · first Nebulas2017 · new shortlist rulesDashed boxes: no Hugo Best Novel in 1954 and 1957. Each bar counts award entries.
  • Best Novel only. Other award categories and Retro-Hugos are excluded.
  • No Hugo Best Novel award was presented in 1954 or 1957.
  • Early Hugo records may contain only a winner. A separate nominations ballot began in 1959.
Hugo voting history ↗

What the counts mean

Award entry
A book listed for one award in one ceremony year. A book on both shortlists has two entries.
Distinct book
One title-and-author combination, regardless of how many award entries it has.
Finalist
A book on the final ballot, including the winner. These records do not include every work submitted at the nomination stage.
Year
Ceremony year. SFWA’s archive labels Nebulas by the preceding award year: its 2025 results were presented in 2026.
Author
The credited author name or collaboration in the record. Collaborations and pen names are not resolved into separate people.

2026 results

Updated . All six Hugo and seven Nebula Best Novel finalists are included.

Sources

Award lists

Compiled records · official latest results

Wikipedia’s Best Novel tables and the Calibre Awards Tagger dataset. The latest results are checked against the official announcements linked above. Official archives: Hugo and Nebula.

Book and author details

Secondary metadata

ISFDB, Wikidata and individual Wikipedia pages supplied publication, series, author and adaptation information.

Subgenre and theme tags

Experimental

AI-assisted classifications based on book descriptions. These are experimental labels, not classifications issued by either award.

Limits of the data

Small samples

Individual ballots contain few books. Ballot sizes changed over time, and the 2020s are an incomplete decade.

Experimental tags

Books can have several tags, so tag percentages can add to more than 100%. The labels have not been validated consistently across the catalogue. Their charts describe this dataset, not the prevalence of themes across the genre.

Author fields

Gender and nationality use the recorded public information. Collaboration and pen-name records limit person-level comparisons. The dataset has no race or sexuality field.

Book details

Series, debut and adaptation fields may be incomplete or out of date. A missing adaptation or series record is not proof that none exists. Page counts refer to particular editions.

Overlap

Sharing a shortlist in the same year and appearing on both awards’ lists at any time are different measures. The comparison page labels them separately.

Tag coverage changed: 2025–2026 entries carry 61% more subgenre tags per entry than 2023–2024 entries. Period comparisons reflect both the books and uneven tagging. The labels are experimental.

Tag coverage changed: 2025–2026 entries carry 56% more theme tags per entry than 2023–2024 entries. Period comparisons reflect both the books and uneven tagging. The labels are experimental.

Download

The JSON contains the award entries, available book details, experimental tags and timeline notes.

↓ Download awards-data.json

Credits

An independent project by Ivan Dimitrov, unaffiliated with the Hugo Awards or SFWA. Data preparation and classification used AI assistance.