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, by ethnicity. During the survey, 54 percent of White respondents stated that they considered country music to be representative of modern America.

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.

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 racial diversity of selected music genres in the United States as of May 2018, by age. During the survey, 25 percent of respondents stated that they considered rap/hip-hop to be the most racially diverse music genre.

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.

According to a study on representation and equality in the music industry, female artists were most prevalent in the pop genre between 2012 and 2023. While female artists released roughly **** percent of the highest-charting pop songs during that period, they only accounted for **** percent of top songs in the hip-hop/rap genre.

Women in the music industry Gender inequality remains an ongoing issue across all areas of the music industry. According to the findings of a recent report, the share of female songwriters on the Billboard Top 100 charts has stood below ** percent for nearly a decade now, highlighting how little progress has been made in terms of equal representation in music over the years. Meanwhile, an even bigger representation gap can be observed when looking at the share of female producers in the United States. Women working as producers remain a rare sight, and between 2012 and 2020, only * to * percent of producers of the top-charting songs were female. Who are the top female solo artists? As of 2020, Nicki Minaj (Onika Maraj) and Rihanna (Robyn Fenty) were the two top-performing female solo artists in the United States, with ** songs that placed on the Billboard Top 100 charts each. *** out of the top 13 performers in this ranking were women, and while **** of them fall under the pop category, two female artists (Nicki Minaj and Cardi B) release hip-hop/rap music. Considering that the latter genre is particularly hard to break into for women, the recent wave of successful female rappers (spearheaded by Nicki Minaj, Cardi B, Megan Thee Stallion, and Doja Cat, to name a few) might indicate the beginning of a new musical era.

To explore the relationship between alcohol, drugs, and crime in the electronic dance music and hip hop nightclub scenes of Philadelphia, Pennsylvania, researchers utilized a multi-faceted ethnographic approach featuring in-depth interviews with 51 respondents (Dataset 1, Initial Interview Qualitative Data) and two Web-based follow-up surveys with respondents (Dataset 2, Follow-Up Surveys Quantitative Data). Recruitment of respondents began in April of 2005 and was conducted in two ways. Slightly more than half of the respondents (n = 30) were recruited with the help of staff from two small, independent record stores. The remaining 21 respondents were recruited at electronic dance music or hip hop nightclub events. Dataset 1 includes structured and open-ended questions about the respondent's background, living situation and lifestyle, involvement and commitment to the electronic dance music and hip hop scenes, nightclub culture and interaction therein, and experiences with drugs, criminal activity, and victimization. Dataset 2 includes descriptive information on how many club events were attended, which ones, and the activities (including drug use and crime/victimization experiences) taking place therein. Dataset 3 (Demographic Quantitative Data) includes coded demographic information from the Dataset 1 interviews.

As of June 2019, ** percent of adults aged between 18 and 34 years old reported listening to music every day, and the majority of their older peers also enjoyed music with the same regularity. Daily music listening was far more commonplace among all respondents than weekly or monthly listening, with very few adults stating that they never listened to music or only did so one to two days per week. However, music consumption changed according to the age of respondents, and older generations were more likely to say that they did not listen to music at all. How age affects music consumptionDespite the many genres and formats available (which in theory cater to every kind of music fan out there) music consumption does change with age. For example, the share of adults aged 18 to 29 years old who are avid music fans is far higher than for other age groups, and almost triple that of adults aged over 65. Similarly, rock ‘n’ roll and country/western music is far more popular among older generations, who have little enthusiasm for hip-hop and rap music, which are much more preferable among 16 to 19-year-olds. It is not just a passion for music or a specific genre which changes, but also the way in which music is consumed. For example, studies have shown that the popularity of music streaming sources generally dwindles with age, and platforms like YouTube reach more adults aged under 25 years than older generations, whereas Baby Boomers are more willing to pay for music on vinyl records than Millennials or Gen Z respondents.

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.

When it comes to share of Americans who booked tickets for music events / concerts / festivals in the past 12 months, ** percent of 18 - 29 year olds do so in the U.S. This is according to exclusive insights from the Consumer Insights Global survey which shows that ** percent of 30 - 49 year old consumers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

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.

One out of three urban dwellers in Romania listened to the pop/disco/dance genre in 2024. Families without children, typically above 45 years, preferred old songs, while the young audience listened to rap or hip-hop.

Music sampling is a common practice among hip-hop and electronic producers that has played a critical role in the development of particular subgenres. Artists preferentially sample drum breaks, and previous studies have suggested that these may be culturally transmitted. With the advent of digital sampling technologies and social media the modes of cultural transmission may have shifted, and music communities may have become decoupled from geography. The aim of the current study was to determine whether drum breaks are culturally transmitted through musical collaboration networks, and to identify the factors driving the evolution of these networks. Using network-based diffusion analysis we found strong evidence for the cultural transmission of drum breaks via collaboration between artists, and identified several demographic variables that bias transmission. Additionally, using network evolution methods we found evidence that the structure of the collaboration network is no longer biased by geographic proximity after the year 2000, and that gender disparity has relaxed over the same period. Despite the delocalization of communities by the internet, collaboration remains a key transmission mode of music sampling traditions. The results of this study provide valuable insight into how demographic biases shape cultural transmission in complex networks, and how the evolution of these networks has shifted in the digital age.

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'

The Dataset includes demographic questions such as age, gender, and location, along with preferences related to entertainment and media consumption. Which may be used for research purpose. The key topics covered in the survey are: • Age, Gender, and Location: Respondents' demographic details. • Movie Preferences: Favorite types of movies and preferred cinema industries (Bollywood, Tollywood, Hollywood, etc.). • Streaming Platforms: Commonly used streaming services like Hotstar, Netflix, YouTube, Ibomma, etc. • Social Media Usage: Preferred social media platforms such as Instagram, WhatsApp, Facebook, and Snapchat. • Leisure Activities: Interests such as watching movies, playing video games, reading books, or listening to music. • Video Games: Favorite games like Free Fire, BGMI, Candy Crush, and Asphalt. • Music Genres: Preferences for different genres, including rock, pop, hip-hop, and classic. • Sports and IPL Preferences: Favorite sportspersons (Sachin Tendulkar, Virat Kohli, Dhoni, etc.) and IPL teams (CSK, SRH, RCB, MI). • Favorite Directors: Preferences for movie directors like SS Rajamouli, Sukumar, Prasanth Neel, and Trivikram.