Pulls all college football venues and data on capacity, grass, city/state, location, elevation, dome, timezone and construction year.
Value
A data frame with 337 rows and 13 variables:
venue_id:integer.Referencing venue ID.
name:character.Venue name.
capacity:integer.Stadium capacity.
grass:logical.TRUE/FALSE response on whether the field is grass or not (oh, and there are so many others).
city:character.Venue city.
state:character.Venue state.
zip:character.Venue zip.
country_code:character.Venue country code.
latitude:double.Venue latitude.
longitude: double.Venue longitude.
elevation:character.Venue elevation.
year_constructed:integer.Year in which the venue was constructed.
dome:logical.TRUE/FALSE response to whether the venue has a dome or not.
timezone:character.Time zone in which the venue resides (i.e. Eastern Time -> "America/New York").
Examples
# \donttest{
try(cfbd_venues())
#> ── Venue data from CollegeFootballData.com ─────────────────── cfbfastR 2.0.0 ──
#> ℹ Data updated: 2025-08-25 19:41:58 UTC
#> # A tibble: 832 × 14
#> venue_id name capacity grass dome city state zip country_code timezone
#> <int> <chr> <int> <lgl> <lgl> <chr> <chr> <chr> <chr> <chr>
#> 1 5938 Al Whi… 4000 NA FALSE Port… "NM" 88130 US NA
#> 2 218 FIU St… 20000 FALSE FALSE Miami "FL" 33199 US America…
#> 3 4779 Thomas… 15000 TRUE FALSE Nass… "" NA BS NA
#> 4 11591 Lokken… NA NA FALSE Vall… "ND" NA US NA
#> 5 5220 Garris… 5000 NA FALSE Murf… "TN" NA US NA
#> 6 3884 RAM St… NA NA FALSE East… "GA" NA US NA
#> 7 11589 Hinchl… NA NA TRUE Pate… "NJ" NA US NA
#> 8 6043 Bethpa… 6000 FALSE FALSE Broo… "NY" 11545 US America…
#> 9 11539 Charlo… NA NA FALSE Jame… "ND" NA US NA
#> 10 5096 Toyota… 5000 NA FALSE Geor… "KY" 40324 US NA
#> # ℹ 822 more rows
#> # ℹ 4 more variables: latitude <dbl>, longitude <dbl>, elevation <chr>,
#> # year_constructed <int>
# }