Top 10 Popular Songs from the 70s Still Loved Today

Explore 10 iconic popular songs from the 70s that still dominate streaming charts and radio airplay today.
Top 10 Popular Songs from the 70s Still Loved Today
Matic Magister

There’s something timeless about music from the 1970s. Whether it's rock anthems, disco bangers, or soul classics, songs from that era continue to shape pop culture and fill playlists decades later. But which tracks from the 70s are still dominating in terms of popularity today? Based on online charts and current listening trends, we’ve gathered 10 standout tracks that continue to capture the hearts (and ears) of listeners worldwide.

 

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If you're interested in digging deeper into the data behind the , you can do that and much more with Viberate's Song Analytics. But first, let’s explore the legendary tracks still making waves.

1. "Bohemian Rhapsody" – Queen (1975)

A genre-defying masterpiece, "Bohemian Rhapsody" blends operatic drama with hard rock riffs and unforgettable melodies. Its longevity was reaffirmed by the 2018 biopic, which sparked another surge in streams. Even without that push, its presence on global playlists and YouTube channels speaks volumes about its lasting appeal.

2. "Stairway to Heaven" – Led Zeppelin (1971)

Often cited as the greatest rock song of all time, "Stairway to Heaven" continues to thrive across streaming platforms. Its complex structure, mystical lyrics, and iconic guitar solo contribute to a performance legacy that's hard to match.

3. "Hotel California" – Eagles (1976)

"Hotel California" is as enigmatic as it is melodic. Known for its haunting guitar solo and layered storytelling, the song frequently tops classic rock charts and is a mainstay in radio rotations.

4. "Imagine" – John Lennon (1971)

This anthem of peace and unity is more than just a song—it's a message. "Imagine" maintains strong performance metrics across platforms like YouTube, Spotify, and radio, consistently ranking as one of John Lennon's most streamed works.

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5. "Superstition" – Stevie Wonder (1972)

Groovy, funky, and lyrically sharp, "Superstition" remains one of Stevie Wonder's most influential songs. Its crossover appeal between R&B, funk, and pop continues to earn it a solid spot in curated playlists and radio airplay.

6. "Dancing Queen" – ABBA (1976)

Few songs say "feel-good" like "Dancing Queen." This disco classic never really left the dancefloor and continues to be rediscovered by younger audiences. Its enduring popularity is also reflected in sync placements and viral social media use.

7. "Stayin’ Alive" – Bee Gees (1977)

This track defines the disco era and remains instantly recognizable, even to those born decades later. "Stayin’ Alive" frequently appears on workout, party, and nostalgia playlists, proving its cross-generational appeal.

8. "Let It Be" – The Beatles (1970)

While technically at the dawn of the 70s, "Let It Be" carries a timeless message of acceptance and peace. Its Spotify performance and YouTube views show that it continues to connect with listeners around the world.

9. "I Will Survive" – Gloria Gaynor (1978)

This empowering anthem of resilience has evolved beyond its disco roots to become a universal declaration of strength. Its message still resonates, and it continues to perform well across streaming and social platforms.

10. "Le Freak" – Chic (1978)

Funky, fresh, and unmistakably disco, "Le Freak" defined a generation of dance music. It still gets significant traction on nostalgic dance playlists and in club remixes, showing how well it’s aged.

How to Measure a Song’s Ongoing Popularity

Popularity isn’t just about how many people remember a song. It’s about data. And if you want to explore how songs from any decade are performing today, Viberate Song Analytics is a powerful tool that gives you a complete picture.

With Viberate, you can track a song’s streaming performance on Spotify, including how its stream counts evolve over time. You can also discover which top playlists featured the song over the past 12 months and analyze the reach and placements within those playlists.

YouTube analytics are just as in-depth. You can monitor views and likes over time, compare different uploading channels, and see every version of the song uploaded to YouTube in one centralized place.

When it comes to radio, you can track how often a song has been spun, view trends over time, and break the data down by country and city. You can also see which radio stations are giving the song airplay, making it easy to understand regional impact.

Beyond these, Viberate also covers SoundCloud plays, Shazam searches, and even Beatport stats—offering information such as ranking, performance, and the label the track was released under.

The Song Chart tool adds even more depth by letting you explore a ranking of over 58 million songs. You can sort them by overall performance score or individual metrics like Spotify streams, YouTube views, radio spins, Shazams, and SoundCloud plays. Filters for genre, release date, and specific timeframes make it easy to dig into what matters most to you.

Viberate Analytics: Professional music analytics suite at an unbeatable price: $19.90/mo. Charts, talent discovery tools, plus Spotify, TikTok, and other channel-specific analytics of every artist out there.

The Takeaway

The magic of 70s music is alive and well—not just in our memories, but in the data. From chart-topping hits like "Bohemian Rhapsody" to dancefloor staples like "Le Freak," these tracks continue to engage listeners across the globe. And with the help of Viberate Song Analytics, anyone from music professionals to curious fans can explore why these songs have stood the test of time.

So whether you're a label exec, playlist curator, or just someone who appreciates legendary music, there's never been a better time to understand what makes a classic track continuously popular.

Explore more at Viberate.com and let the numbers do the talking.

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Matic Magister

Matic Magister

Head of Database at Viberate
Experienced team leader, wielding precision and adept interpersonal skills, effortlessly navigating the most intricate data challenges.