The statistic provides data on favorite music genres among consumers in the United States as of July 2018, sorted by age group. According to the source, 52 percent of respondents aged 16 to 19 years old stated that pop music was their favorite music genre, compared to 19 percent of respondents aged 65 or above. Country music in the United States – additional information

In 2012, country music topped the list; 27.6 percent of respondents picked it among their three favorite genres. A year earlier, the result was one percent lower, which allowed classic rock to take the lead. The figures show, however, the genre’s popularity across the United States is unshakeable and it has also been spreading abroad. This could be demonstrated by the international success of (among others) Shania Twain or the second place the Dutch country duo “The Common Linnets” received in the Eurovision Song Contest in 2014, singing “Calm after the storm.”

The genre is also widely popular among American teenagers, earning the second place and 15.3 percent of votes in a survey in August 2012. The first place and more than 18 percent of votes was awarded to pop music, rock scored 13.1 percent and landed in fourth place. Interestingly, Christian music made it to top five with nine percent of votes. The younger generation is also widely represented among country music performers with such prominent names as Taylor Swift (born in 1989), who was the highest paid musician in 2015, and Hunter Hayes (born in 1991).

Country music is also able to attract crowds (and large sums of money) to live performances. Luke Bryan’s tour was the most successful tour in North America in 2016 based on ticket sales as almost 1.43 million tickets were sold for his shows. Fellow country singer, Garth Brooks, came second on the list, selling 1.4 million tickets for his tour in North America in 2016.

This statistic shows the public opinion on the music genres which are most representative of America today in the United States as of May 2018. During the survey, 47 percent of respondents stated that they considered country music to be representative of modern America.

According to data gathered in the United States in March 2023, Pop was the most popular genre for Generation Z. ** percent of Gen Z respondents included the genre to be among their favorites. Rap or Hip-Hop was second, being mentioned by a share of ** percent, while Rock concludes the top three, reaching ** percent.

According to a study carried out by Deezer in May 2018, the most popular genre among Americans was rock music, with 56.8 percent of respondents stating that they were currently listening to music within this genre as of the date of survey. Pop and country music were the second and third most popular genres respectively, and 20.2 percent of respondents said they preferred jazz.

The appeal of rock and pop music

The broad appeal of rock and pop music can in part be attributed to how both genres often blend seamlessly into one another and influence other music styles. Heavy rock bands like Led Zeppelin and AC/DC are often more divisive than melodic rock groups like Bon Jovi or Genesis, just like pop music which strays into R&B territory or is better associated with hip hop or EDM. Each have their appeal to fans with different tastes, and the versatility of rock and pop (and music which combines the two) allows such music to reach adults of all ages and backgrounds.

Rock albums also account for the majority of vinyl album sales in the United States, with pop albums ranking second. However, although the resurgence of vinyl has to a certain extent been reliant on the rock genre, this is not the case when it comes to digital music consumption. Rap and hip hop accounted for 22.8 percent of music video streams in the U.S. in 2018, whereas for rock music videos the share was just 7.1 percent. Rock fared similarly when it came to audio streams, once again losing out to rap and hip hop. Taking such data into consideration, it would seem that rock music fans are generally more drawn to traditional formats and are less inclined to enjoy their music via streaming platforms.

This dataset captures the music genre preferences of high school students. Each row represents a student's unique ID along with their preferred music genre. It provides a simple yet insightful look into the musical tastes of students, which could be useful for demographic or cultural studies.

Features: The dataset contains the following two columns: * Student ID: A unique identifier for each student (e.g., Student 1, Student 2). * Preferred Genre: The music genre preferred by the student (e.g., Pop, Rock, Hip-Hop, Classical, etc.).

Potential Applications: ->Analyzing the distribution of music preferences among high school students in a high school. ->Visualizing genre popularity in specific demographics. ->Serving as a basic dataset for practice in data analysis, visualization, or machine learning.

This data set was taken from Spotify's Top 50 Playlists (by country). Surprisingly, the Spotify API does not have an endpoint for collecting a track's genres - so what I did was extract each track's URI using Python, get the corresponding Artist URI, and then make a dataframe out of each Artist's genre(s). Lastly, I grouped them by country to see which countries preferred which genres of music.

A couple of things to note about this dataset: 1. An artist may have multiple genres or even 0. My code only takes into account the list of genres generated from the API. In other words, the genre count for each country will NOT equal 50.

1. Many music genres overlap with each other (i.e. electropop = EDM or pop??). For simplicity, I only classified these into one genre based off my own order (you can see it in the code below)

2. There are so many different genres that I couldn't cover every type in my code. For simplicity, I classified these into one genre called "Other". Also keep in mind that this group will include some genres that should belong to other groups because of the genres' unique name (you can see it in the code below).

3. I didn't get every country, only the countries Spotify covered on their Top 50s.

Classification code in Python: df3[~df3['Genres'].str.contains('hip hop|rap|r&b|edm|electronic|house|dubstep|electro|alternative|trance|pop|dance|rock|metal|thrash|emo|latin|reggaeton')] = 'Other' df3.loc[df3['Genres'].str.contains('hip hop|rap|r&b')] = 'Hip hop/Rap/R&b' df3.loc[df3['Genres'].str.contains('edm|electronic|house|dubstep|trance|electro')] = 'EDM' df3.loc[df3['Genres'].str.contains('pop|dance')] = 'Pop' df3.loc[df3['Genres'].str.contains('rock|metal|thrash|emo|alternative')] = 'Rock/Metal' df3.loc[df3['Genres'].str.contains('latin|reggaeton')] = 'Latin/Reggaeton'

Dataset Card for Music Genre

The Default dataset comprises approximately 1,700 musical pieces in .mp3 format, sourced from the NetEase music. The lengths of these pieces range from 270 to 300 seconds. All are sampled at the rate of 22,050 Hz. As the website providing the audio music includes style labels for the downloaded music, there are no specific annotators involved. Validation is achieved concurrently with the downloading process. They are categorized into a total of 16… See the full description on the dataset page: https://huggingface.co/datasets/ccmusic-database/music_genre.

Data on the distribution of streamed music consumption in the United States showed that rock music accounted for ** percent of all on-demand audio and video streams in 2021. The leading genre by streams was, as is almost always the case, R&B and hip-hop. Most streamed artists The demand for streamed audio content is growing year by year, and in 2021, the number of paid music streaming subscribers in the United States exceeded ** million. So which musicians are topping the digital charts? Based on the most recent data, The Weeknd, Justin Bieber, and Ed Sheeran were the top artists on Spotify based on monthly listeners in 2022. The top-10 ranking was visibly dominated by pop singers and bands that year, although Doja Cat and Eminem were the acts that amassed the largest monthly audience within the R&B and hip-hop genre. Keeping it classical A closer look at the distribution of music consumption in the U.S. by genre and format reveals that fans of jazz, rock, and classical music were among the most likely to listen to artists via physical formats. Between ** and ** percent of surveyed respondents stated that they listened to these genres via physical albums, which was above the industry average. One reason for this sense of audio nostalgia could be that these genres are particularly popular with listeners from older, less tech-savvy generations.

Electronic Music Market size was valued at USD 12,671 Million in 2023 and is projected to reach USD 19,670 Million by 2031, growing at a CAGR of 7.8% during the forecast period 2024-2031.

Global Electronic Music Market Drivers

The electronic music market has experienced significant growth and development in recent years, driven by several key market drivers:

Technological Advancements: Innovations in music production software, synthesizers, and digital audio workstations (DAWs) have made it easier for artists to create high-quality electronic music. Accessibility to affordable technology has democratized music production. Rise of Music Streaming Services: Platforms like Spotify, Apple Music, and SoundCloud have changed how consumers access and discover music. These services often promote electronic music playlists, helping the genre reach wider audiences.

Global Electronic Music Market Restraints

The electronic music market, like any other segment of the music industry, faces several market restraints that can impact growth and development. Here are some key factors:

Market Saturation: With the proliferation of digital tools and platforms for music production, the electronic music genre has become increasingly crowded. This can make it challenging for new artists to stand out and gain recognition. Copyright Issues: The question of intellectual property rights and copyright infringement can stifle creativity and lead to legal challenges, especially since sampling and remixing are prevalent in electronic music.

LAMA World Music Genre Dataset LAMA - LatinAmerica, Asia, MiddleEastern, Africa Genre Dataset This Dataset consists of the .wav files of audio classified into four categories: LatinAmerica, Asia, MiddleEastern, and Africa. We went through Google AudioSet ontology and pickled the ones we double-chekched to be from the region. We added 1-min audio (.wav), plots (.png), and numerical datapoints for training (.json). I hope that this work can help in several Deep Learning, Machine Learning projects in Music Genre Classification. Getting Started The data contained in LAMA can be classified into three categories: ->>>Section Format LatinAmerica Asia MiddleEast Africa audio .wav 535 539 548 645 graph plots .png 2140 2156 2192 2580 numerical .json 101650 102410 104120 122550 Overall statistics of LAMA. The numbers in “audio” and “plots” rows are counts of the included files in each section. The numbers provided in the “numerical” row are counted based on the total number of raw datapoints. Datapoints from two related files (trainMFCC.json, trainSC.json) were counted. Datapoints from trainZCR.json, and trainRMSE.json were not counted in this figure. LatinA refers to Latin America, and MiddleE refers to Middle East. What's in? audio .wav -> 1 min clip audio files from Latin America, Africa, Asia, and Middle East graph plots .png -> MFCC, STFT, FFT, waveform numerical .json -> x13 MFCC datapoints, x6 spectral contrast datapoints

Electronic Dance Music Market size was valued at USD 9.57 Billion in 2023 and is projected to reach USD 9.68 Billion by 2031, growing at a CAGR of 7.88% during the forecast period 2024-2031.Global Electronic Dance Music Market DriversThe Electronic Dance Music (EDM) market has experienced significant growth in recent years, driven by various market factors. Here are some of the primary market drivers for the EDM sector:Cultural Popularity: EDM has grown into a mainstream genre, increasingly popular across various demographics. Festivals, clubs, and events dedicated to EDM attract large audiences, furthering its appeal.Festival Culture: The rise of music festivals focused on EDM, such as Tomorrowland, Ultra Music Festival, and Coachella, has contributed to market growth. These events attract significant attendance and sponsorship, boosting artist visibility and revenue.

In 2018, hip-hop and rap music accounted for 21.7 percent of total music consumption in the United States, more than double the percentage of R&B music sales. Other highly popular genres included pop and rock music, whereas just 1.1 percent of all music sold in the U.S. in 2018 was jazz.

Why are some genres more popular than others? 

Whilst music is a highly subjective medium in terms of the listener’s taste and preferences, the top genres in terms of consumption tend not to fluctuate heavily. The catchiness and familiarity of pop music is appealing to a wide range of music fans. Pop songs tend to be easy to listen to and remember, usually feature simple, snappy lyrics to avoid polarizing listeners, making pop overall less divisive than other genres because it is designed to generate mass appeal.

Conversely, religious music by its very nature is a niche genre in that it encompasses, describes or advocates certain beliefs, giving it the equal ability to alienate some listeners while appealing enormously to others, depending on their religious stance.

The hit genre of 2018 was hip-hop and rap, a music style notorious for its tendency to divide listeners. Singer Drake arguably influenced sales within the genre that year, with ‘Scorpion’ topping the list of best-selling albums in the United States based on total streams and ‘Scary Hours’ also making the top ten. Drake came tenth in the list of most successful music tours in North America, with revenue from his live concerts amounting to 79 million U.S. dollars, and second in the ranking was Jay-Z and Beyoncé with 166.4 million dollars in revenue, artists whose music is also strongly aligned with the rap and hip-hop genre.

Other artists in the genre who achieved significant influence in 2018 include Kendrick Lamar, Childish Gambino, Cardi B, Travis Scott and Post Malone, many of whom released songs that year which garnered hundreds of millions of audio streams. The sheer amount of hip-hop and rap music flooding the music industry has had a profound effect on the genre’s popularity, and musicians in the category tend to be prolific songwriters and active social media users. Equally, artists in the genre are arguably passionate about creating music which challenges social norms in a way that rock music has always been famous for.

Descriptive statistics of primary genres.

Dataset Title: Top 5,000 Spotify Artists Metadata (2025)

Description:

This dataset contains metadata for up to 5,000 unique artists from Spotify, collected via the Spotify Web API in June 2025. The data includes key attributes such as artist name, Spotify ID, popularity score, genres, total followers, and profile image URLs, providing a comprehensive snapshot of prominent artists across various genres.

The dataset was created by querying the Spotify API for artists in popular genres (e.g., pop, rock, hip-hop, jazz, and more) and filtering for unique entries based on Spotify IDs. Artists are sorted by popularity to approximate the "top" artists on the platform, based on Spotify’s popularity metric (0–100), which reflects streaming activity and listener engagement.

Key Features:

Columns:

name: Artist’s name (string). id: Unique Spotify artist ID (string). popularity: Spotify popularity score (integer, 0–100). genres: Comma-separated list of genres associated with the artist (string). followers: Total number of followers on Spotify (integer). image_url: URL to the artist’s profile image, if available (string, nullable). Rows: Up to 5,000 unique artists. File Format: CSV (top_spotify_artists.csv). Data Source: Spotify Web API, accessed via the Spotipy Python library. Collection Date: June 2025.

Potential Uses:

Music Analytics: Analyze artist popularity trends, genre distributions, or follower demographics. Recommendation Systems: Build models to recommend artists based on genres or popularity. Visualization: Create visualizations of artist networks, genre overlaps, or popularity rankings. Market Research: Study the music industry’s top artists and their audience engagement. Notes:

The dataset is an approximation of "top" artists, as Spotify does not provide a direct "top artists" endpoint. Data was gathered by searching across multiple genres and sorting by popularity. Some artists may lack image URLs or genres due to incomplete Spotify profiles. Users should comply with Spotify’s API Terms of Use when utilizing this dataset. License: This dataset is shared under the CC BY-SA 4.0 license, with attribution to the Spotify Web API as the data source.

Acknowledgments:

Data sourced from the Spotify Web API. Collected using the Spotipy Python library.

Description:

This dataset includes information on various music festivals taking place across Europe and other international locations in 2024. It provides details about the festival's name, location, attendance, visitor demographics, economic impact, and the music genres featured. This dataset is useful for analyzing trends in music festivals, understanding visitor preferences, and evaluating the economic significance of these events.

Column Descriptions:

• Festival_Name: The official name of the music festival.
• Location: The city and country where the festival is held.
• Attendance_Numbers: The estimated number of attendees at the festival.
• Visitor_Demographics: The age range and interests of the attendees.
• Economic_Impact: The estimated economic impact of the festival, often presented in local currency.
• Music_Genre: The primary genre or genres of music featured at the festival.