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15 Best Fall Playlists on Spotify (Oct 2026)

The 15 best fall playlists on Spotify, compared by followers, size and growth, starting with Jazz for Autumn. Updated Oct 2026.

Analysis by PlaylistScaler Β· Playlists credited to their Spotify curators

15 playlists
15 Best Fall Playlists on Spotify (Oct 2026) artwork
15playlists analyzed

Original playlist analysis by PlaylistScaler

Compare 15 selected playlists using observed music, curator information and available measurements.

What our analysis found

Look beyond the track count

Rain and Thunder Sounds for Sleeping has 2,340 entries, with 30 distinct tracks and 2,310 repeated entries.

View supporting analysis

Best for

Playlist picks

Each playlist is credited to its Spotify curator.

  1. Followers
    300,413
    Tracks
    149
    Followers per day
    +204
    Monthly listeners (est.)
    11,900–35,800

    Newest track added Oct 5, 2026 Β· figures via artist.tools.

  2. Followers
    283,319
    Tracks
    310
    Followers per day
    +1,397
    Monthly listeners (est.)
    22,500–67,500
    Most listeners in
    Mexico City, MX

    Newest track added Oct 8, 2026 Β· figures via artist.tools.

  3. Die drei ??? - Fall der Woche artwork

    Die drei ??? - Fall der Woche

    Curated by die_drei_fragezeichen

    Followers
    237,432
    Tracks
    25
    Followers per day
    +34
    Monthly listeners (est.)
    8,200–24,700

    Newest track added Oct 2, 2026 Β· figures via artist.tools.

  4. Followers
    102,709
    Tracks
    198
    Followers per day
    +1,588
    Monthly listeners (est.)
    18,200–54,700
    Most listeners in
    London, GB

    Newest track added Sep 8, 2026 Β· figures via artist.tools.

  5. Followers
    75,766
    Tracks
    75
    Followers per day
    +316
    Monthly listeners (est.)
    5,500–16,400

    Newest track added Oct 5, 2026 Β· figures via artist.tools.

  6. Followers
    59,171
    Tracks
    176
    Followers per day
    +366
    Monthly listeners (est.)
    5,400–16,200
    Most listeners in
    London, GB

    Newest track added Sep 24, 2026 Β· figures via artist.tools.

  7. Followers
    35,245
    Tracks
    226
    Followers per day
    +28
    Monthly listeners (est.)
    1,400–4,300

    Newest track added Sep 30, 2026 Β· figures via artist.tools.

  8. Followers
    16,703
    Tracks
    335
    Followers per day
    +35
    Monthly listeners (est.)
    880–2,600
    Most listeners in
    London, GB

    Newest track added Oct 3, 2026 Β· figures via artist.tools.

  9. Followers
    16,196
    Tracks
    64
    Followers per day
    +117
    Monthly listeners (est.)
    1,600–4,900

    Newest track added Sep 20, 2026 Β· figures via artist.tools.

  10. Followers
    16,038
    Tracks
    94
    Followers per day
    +155
    Monthly listeners (est.)
    2,000–5,900

    Newest track added Sep 26, 2026 Β· figures via artist.tools.

  11. Followers
    5,883
    Tracks
    204
    Followers per day
    +5
    Monthly listeners (est.)
    60–190

    Newest track added Oct 3, 2026 Β· figures via artist.tools.

  12. Followers
    3,634
    Tracks
    259
    Followers per day
    +55
    Monthly listeners (est.)
    630–1,900

    Newest track added Sep 29, 2026 Β· figures via artist.tools.

  13. Top genres

    • rock 99 tracks
    • alternative 93 tracks
    • pop 22 tracks
    Tracks
    197
    Playing time
    11h 42m
    Marked explicit
    48
    Followers
    18,389

    A few observed tracks

    • Sugar, We're Goin DownFall Out Boy
    • I Write Sins Not TragediesPanic! At The Disco
    • Misery BusinessParamore

    Audio profile

    Shazam track measurements via artist.tools Β· aggregated by PlaylistScaler Β· retrieved Oct 9, 2026

    Dot: median Β· shaded band: middle 50% of measured tracks.

    Tempo
    106 BPM0200 BPMMiddle half: 85.5–135 BPM Β· 167 tracks measured
    Energy
    0.9 / 101Middle half: 0.78–0.96 Β· 167 tracks measured
    Danceability
    0.52 / 101Middle half: 0.42–0.64 Β· 167 tracks measured
    Valence
    0.66 / 101Middle half: 0.53–0.77 Β· 167 tracks measured
    Acousticness
    0.58 / 101Middle half: 0.46–0.7 Β· 167 tracks measured
    Melodicness
    0.26 / 101Middle half: 0.12–0.44 Β· 167 tracks measured
    Sources & full analysis Checked Oct 9, 2026
    Track entries
    197
    Distinct tracks
    197
    Repeated entries
    0
    Distinct artists
    109
    Playing time
    11h 42m Β· 100% duration coverage
    Explicit flags
    48 marked explicit Β· 100% coverage
    Track genre labels
    rock, alternative, pop, hard rock, punk Β· 98.98% coverage
    Audio measurements
    168 of 197 distinct tracks Β· 85.28% coverage
    Follower change
    +37 Β· Sep 10, 2026 to Oct 9, 2026

    0.33% overlap with Halloween Music πŸŽƒπŸ’€πŸ•ΈοΈ: the proportion of combined distinct tracks shared by both playlists. Other playlist checked Oct 9, 2026.

    Spotify playlist observations, genre labels via artist.tools, and Shazam measurements via artist.tools. Calculations by PlaylistScaler. How to read this analysis.

  14. Tracks
    2,340
    Playing time
    20h 9m
    Marked explicit
    0
    Followers
    53

    A few observed tracks

    • soothing rain soundsSleepy Theo
    • Comforting Rain LoopSleepy Theo
    • Rain Sounds to Sleep ToSleepy Theo
    Sources & full analysis Checked Oct 8, 2026
    Track entries
    2,340
    Distinct tracks
    30
    Repeated entries
    2,310
    Distinct artists
    1
    Playing time
    20h 9m Β· 100% duration coverage
    Explicit flags
    0 marked explicit Β· 100% coverage
    Follower change
    0 Β· Sep 10, 2026 to Oct 4, 2026

    Spotify playlist observations. Calculations by PlaylistScaler. How to read this analysis.

  15. Top genres

    • pop 38 tracks
    • alternative 25 tracks
    • rock 14 tracks
    Tracks
    105
    Playing time
    6h 25m
    Marked explicit
    23
    Followers
    1

    A few observed tracks

    • Bloody MaryLady Gaga
    • The MonsterEminem, Rihanna
    • Thriller (Steve Aoki Midnight Hour Remix)Michael Jackson, Steve Aoki

    Measured examples

    • Bloody MaryLady Gaga100 BPMEnergy 0.67 / 1
    • Thriller (Steve Aoki Midnight Hour Remix)Michael Jackson, Steve Aoki125 BPMEnergy 0.94 / 1
    • Highway to HellAC/DC115 BPMEnergy 0.96 / 1

    Shazam measurements via artist.tools Β· retrieved Oct 9, 2026.

    Sources & full analysis Checked Oct 9, 2026
    Track entries
    105
    Distinct tracks
    104
    Repeated entries
    1
    Distinct artists
    94
    Playing time
    6h 25m Β· 100% duration coverage
    Explicit flags
    23 marked explicit Β· 100% coverage
    Track genre labels
    pop, alternative, rock, hip-hop/rap, soundtrack Β· 99.04% coverage
    Audio measurements
    77 of 104 distinct tracks Β· 74.04% coverage
    Follower change
    0 Β· Sep 10, 2026 to Oct 8, 2026

    0.33% overlap with Emo Songs Everyone Knows: the proportion of combined distinct tracks shared by both playlists. Other playlist checked Oct 9, 2026.

    Spotify playlist observations, genre labels via artist.tools. Calculations by PlaylistScaler. How to read this analysis.

Songs on the most fall playlists

Counted across the 15 playlists in this guide with readable track lists; each song counts once per playlist.

  1. Where'd All the Time Go?Dr. Dog4 playlists184,466 combined followers
  2. Sweater WeatherThe Neighbourhood4 playlists184,466 combined followers
  3. augustTaylor Swift4 playlists184,466 combined followers
  4. Rialto BridgeSaphena Trio3 playlists339,292 combined followers
  5. Innermost ThoughtsNeil Dunker3 playlists339,292 combined followers
  6. Central Park StrollDries Riesen3 playlists339,292 combined followers
  7. EvergreenRichy Mitch & The Coal Miners3 playlists178,583 combined followers
  8. SparksColdplay3 playlists178,583 combined followers
  9. Always ForeverCults3 playlists167,763 combined followers
  10. My Love Mine All MineMitski3 playlists167,763 combined followers
  11. Lover, You Should've Come OverJeff Buckley3 playlists167,763 combined followers
  12. Real Love BabyFather John Misty3 playlists125,295 combined followers
  13. Big Black CarGregory Alan Isakov3 playlists125,295 combined followers
  14. Fade Into YouMazzy Star3 playlists81,757 combined followers
  15. autumn leavesJazzy Coffee, Cozy Coffee Shop, Relaxing Piano Jazz3 playlists55,075 combined followers

How we compared these playlists

PlaylistScaler analyzes observed Spotify playlist contents. Audio measurements, where shown, come from Shazam through artist.tools. Follower growth, listener estimates and listener cities for the wider selection come from artist.tools. Playlists belong to their credited curators.

Sources, coverage & limitations

Automatic genre picks need a matching title or assigned topic, or supporting track genre labels. Editors can also select crossovers.

Observation dates appear with each playlist. Track examples are a small sample. Missing measurements are excluded, never counted as zero. Audio medians require measurements for at least ten distinct tracks and 80% of the playlist’s distinct tracks. The middle half is the range from the 25th to the 75th percentile.

Energy, danceability and other audio scores describe the recordings on a 0–1 scale; they do not measure listener outcomes or musical quality. Acousticness does not establish the absence of vocals. Explicit flags are metadata, and unmarked tracks are not a guarantee of suitability.

Track overlap uses shared distinct tracks divided by the combined distinct tracks. Repeated entries are counted separately from unique tracks. Genre labels can overlap: one track may have several labels. Follower counts and changes describe audience size, not listening activity or musical quality. Results apply to the playlists compared here, not all of Spotify.

Measurement coverage for each playlist is listed in its "Sources & full analysis" panel. "Best for" picks compare only playlists that have the measurement. Most-added songs count each song once per playlist, across the playlists whose track lists could be read.

AI assists with descriptions grounded in these observations. Supporting evidence changes can retire that commentary until it is refreshed. About the methodology Β· Suggest a correction.

Summarize with AI: