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Sound Clash

Guatemala vs Paraguay music chart comparison

Compare the current chart leaders from ๐Ÿ‡ฌ๐Ÿ‡น Guatemala and ๐Ÿ‡ต๐Ÿ‡พ Paraguay. This page reads the same country chart signals used by the live SoundBorders map, then turns them into a shareable country-vs-country music snapshot.

๐Ÿ‡ฌ๐Ÿ‡น
Guatemala
Pop
VS
๐Ÿ‡ต๐Ÿ‡พ
Paraguay
Pop
#1 Chart
Sonido de Lluvia para Dormir y Relajarse (Pt. 01)
Lluvia para Dormir
Listen on Apple Music โ†—
#1 Chart
SUPERESTRELLA
Aitana
Listen on Apple Music โ†—
๐Ÿ‡ฌ๐Ÿ‡น Open on the Map ๐Ÿ‡ต๐Ÿ‡พ
Chart read

Guatemala is currently led by Sonido de Lluvia para Dormir y Relajarse (Pt. 01) from Lluvia para Dormir, while Paraguay is led by SUPERESTRELLA from Aitana.

The matchup contrasts Pop in Guatemala with Pop in Paraguay. That makes it useful for spotting whether two markets are moving through similar pop signals, regional scenes, or completely different listening moods.

This comparison was built from Aug 5, 2026, 6:00 PM UTC. Open either country page for the surrounding top tracks, or return to today's world music chart report for the full map-wide read.

Shared artist signal: Bad Bunny and Aitana appear in both visible top-five sets, suggesting an overlap between these two chart audiences.

Top track comparison

Guatemala and Paraguay top songs

๐Ÿ‡ฌ๐Ÿ‡นGuatemala
#1
Sonido de Lluvia para Dormir y Relajarse (Pt. 01)
Lluvia para Dormir
#2
Yonaguni
Bad Bunny
#3
Efecto
Bad Bunny
#4
TE MUDASTE
Bad Bunny
#5
SUPERESTRELLA
Aitana
๐Ÿ‡ต๐Ÿ‡พParaguay
#1
SUPERESTRELLA
Aitana
#2
KOKO
Omar Courtz
#3
VeLDร
Bad Bunny, Omar Courtz & Dei V
#4
Yonaguni
Bad Bunny
#5
LA GRACIOSA
Quevedo & Elvis Crespo
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World music charts
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Pop charts
Index
All country charts
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Pop charts
Artists
Charting artists
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More country chart comparisons

Continue from this matchup into nearby country charts with similar genre signals and current top-track movement.

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Guatemala vs Paraguay in the archive

Daily SoundBorders pages preserve the wider country chart snapshot around this comparison, including genre routes, artist signals, and map-wide chart context.