Genre Profile
Country music is characterized by solid energy that keeps listeners engaged without overwhelming, with a median energy of 59.3%. The genre carries predominantly electronic production (25.6% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 0.0%, while danceability registers at 58.1% — providing enough groove to move to. The emotional tone is generally upbeat and positive in tone, with valence at 52.0%. Speechiness is virtually absent at 3.3%.
The typical country track moves at a moderate tempo that sits comfortably in walking-pace territory of 120.1 BPM (±33.3). Tonally, A is the most common key (14 of 100 tracks), and 85% of tracks are in a major key — creating an overall sense of brightness and openness.
The genre's sonic identity is shaped by artists like Dan + Shay, Kane Brown, Eagles alongside Shania Twain, Dolly Parton. The typical track runs about 3.5 minutes, optimized for streaming attention spans.
Production-wise, country sits at a median loudness of -7.2 dB — moderately loud, balancing dynamics with presence. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic country sound.
Prompt Lab
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BPM 95-140: nostalgic pace Energy 49-69%: nostalgic, heartfelt Valence 44-64%: nostalgic, heartfelt, warm, storytelling Danceability 51-61%: country groove Acousticness 21-41%: acoustic guitar textures Instrumentalness -8-11%: Focus on acoustic guitar Speechiness 4-14%: Clean country passages Tempo: nostalgic to moderate Key preference: A, C#/Db, warm keys
Create a country track with: • acoustic guitar foundation (120 BPM) • americana-inspired pedal steel • nostalgic acoustic guitar patterns • fiddle banjo • heartfelt production style • country-pop sound design • Moderate energy (59%), nostalgic mood (54%) • country arrangement (1%), acoustic guitar elements (31%) Artists to reference: Dan + Shay, Kane Brown, Eagles, Shania Twain, Dolly Parton, Morgan Wallen Duration: 3-4 minutes, perfect for storytelling listening
{
"genre": "country",
"audio_features": {
"bpm": {"min": 48, "max": 203, "median": 120},
"energy": {"avg": 0.594, "range": "nostalgic"},
"valence": {"avg": 0.545, "range": "nostalgic, heartfelt, warm, storytelling"},
"danceability": {"avg": 0.565, "range": "country groove"},
"acousticness": {"avg": 0.310, "range": "acoustic guitar/organic"},
"instrumentalness": {"avg": 0.011, "range": "focus on acoustic guitar"},
"key_preference": ["A", "C#/Db", "F#/Gb"],
"mode_preference": {"major": 85.0, "minor": 15.0}
},
"production_style": {
"instruments": ["acoustic guitar", "pedal steel", "fiddle", "banjo", "dobro"],
"style_tags": ["country", "americana", "country-pop", "outlaw", "twang"],
"mood_descriptors": ["nostalgic", "heartfelt", "warm", "storytelling"],
"tempo_category": "nostalgic_to_moderate"
},
"reference_artists": ["Dan + Shay", "Kane Brown", "Eagles", "Shania Twain", "Dolly Parton", "Morgan Wallen", "Creedence Clearwater Revival", "Luke Combs"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " storytelling listening",
"production_focus": "acoustic guitar foundation"
}
}}
Audio DNA
Key finding: Six audio features define country's fingerprint: Energy leads at 59.3%, while Instrumentalness sits at just 0.0% — with almost no instrumentalness to speak of.
Rhythm & Tonality
Key finding: 85% of country tracks are in a major key, with A the most common. Typical BPM: 120.1 (σ 33.3).
Emotional Fingerprint
Top Artists
Key finding: Dan + Shay dominates with 7 tracks in the top 100, followed by Kane Brown (6) and Eagles (4).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular country track is “Something in the Orange” by Zach Bryan with a popularity score of 89.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
How Country Compares
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 🤠country tracks by popularity, supplemented by Gemini AI audio analysis of 30-second preview clips.
Audio features (energy, valence, acousticness, instrumentalness, danceability, speechiness, tempo, key, mode, loudness, duration) are sourced directly from Spotify's audio analysis pipeline. Production insights, mood classifications, and instrumentation details are generated by Gemini AI.
Data was collected and analyzed by kapiko — a music analytics platform for AI-era music production.