Music Sales by Format and Year

Sales data for music industry by format and year

By Charlie Hutcheson [source]

About this dataset

The Music Industry Sales by Format and Year dataset provides comprehensive information on the sales data for different music formats over a span of 40 years. The dataset aims to analyze and visualize the trends in music industry sales, specifically focusing on various formats and metrics used to measure these sales.

The dataset includes several key columns to facilitate data analysis, including Format which represents the different formats of music sales such as physical (CDs, vinyl) or digital (downloads, streaming). Additionally, the column Metric indicates the specific measure used to quantify the sales data, such as units sold or revenue generated. The column Year specifies the particular year in which the sales data was recorded.

To provide a more comprehensive understanding of each combination of format, metric, and year, additional columns are included. The Number of Records column denotes the total number of entries or records available for each unique combination. This information helps assess sample size reliability for further analysis. Moreover, there is an Actual Value column that presents precise numerical values representing the actual recorded sales figure corresponding to each format-metric-year combination.

This dataset is obtained from credible sources including RIAA's U.S Sales Database and was originally presented through a visualization by Visual Capitalist. It offers insights into historical trends in music industry sales patterns across different formats over four decades.

In order to enhance this dataset visual representation and further explore its potential insights accurately, it would be necessary to perform an exploratory analysis assessing: seasonal patterns within each format; changes in market share across multiple years; growth rates comparison between physical and digital formats; etc. These analyses can help identify emerging trends in consumer preferences along with underlying factors driving shifts in market dynamics. Additionally,the presentation media (such as charts or graphs) could benefit from improvements such as clearer labeling, more detailed annotations,captions that allow viewers to easily interpret visualized information,and arrangement providing a logical flow conducive to understanding the data

How to use the dataset

Dataset Overview

The dataset consists of the following columns:

• Format: The format of the music sales, such as physical (CDs, vinyl) or digital (downloads, streaming).
• Metric: The metric used to measure the sales, such as units sold or revenue generated.
• Year: The year in which the sales data was recorded.
• Number of Records: The number of records or entries for each combination of format, metric and year.
• Value (Actual): The actual value of the sales for each combination of format, metric and year.

Key Considerations

Before diving into analyzing this dataset, here are some key points to consider:

• Categorical Variables: Both Format and Metric columns contain categorical variables that represent different aspects related to music industry sales.
• Numeric Variables: Year, Number of Records, and Value (Actual) are numeric variables providing chronological information about record counts and actual sale values.

Interpreting Insights

To make meaningful interpretations using this data set:

Analyzing Different Formats:

• You can compare different formats' popularity over time based on units sold/revenue generated.
• Explore how digital formats have influenced physical format sales over time.
• Understand which formats have experienced growth or decline in specific years.

Evaluating Different Metrics:

• Analyze revenue trends compared to unit count trends for different formats each year.
• Identify metrics showing exceptional growth/decline compared across differing years/formats.

Understanding Sales Trends:

• Examine the relationship between the number of records and actual sales value each year.
• Identify periods where significant changes in music industry sales occurred.
• Observe trends and fluctuations based on different formats/metrics.

Visualizing Data

To enhance your analysis, create visualizations using this dataset:

• Time Series Analysis: Create line plots to visualize the trend in music sales for different formats over time.
• Comparative Analysis: Generate bar charts or grouped bar plots...

This is a dataset downloaded off excelbianalytics.com created off of random VBA logic. I recently performed an extensive exploratory data analysis on it and I included new columns to it, namely: Unit margin, Order year, Order month, Order weekday and Order_Ship_Days which I think can help with analysis on the data. I shared it because I thought it was a great dataset to practice analytical processes on for newbies like myself.

This dataset contains 10,000 sales transactions across different countries, product categories, and sales channels. It includes details about sales revenue, cost, and profit, helping us understand business performance and customer trends.

Column Name	Description	Example
Region	The geographical area where the sales occurred.	Europe, Asia, Africa
Country	The country where the product was sold.	USA, India, Germany
Item Type	The type of product being sold.	Office Supplies, Beverages
Sales Channel	How the product was sold – Online or Offline.	Online, Offline
Order Priority	Urgency level of the order (e.g., High, Medium, Low).	C (Critical), H (High)
Order Date	The date the order was placed.	2022-06-15
Order ID	A unique identifier for each sale.	123456789
Ship Date	The date the order was shipped to the customer.	2022-06-20
Units Sold	Number of units sold in that transaction.	500
Unit Price	The selling price per unit of the product.	$45.99
Unit Cost	The cost of producing or buying one unit.	$30.50
Total Revenue	Total money earned from the sale (Units Sold × Unit Price).	$22,995
Total Cost	Total expense incurred (Units Sold × Unit Cost).	$15,250
Total Profit	Profit made from the sale (Total Revenue - Total Cost).	$7,745

Annual music album sales in the United States dropped by roughly ***** percent between 2019 and 2021, amounting to just *** million in the most recent year. This number decreased further to just *** million in the U.S. in 2022. In 2013, sales amounted to ***** million units, a number which had already noticeably decreased from the *** million units sold in 2011. Annual music album sales - additional information The past decade has brought along many changes, both technological and societal, which have forever changed the face of the global music industry. Today, music superstars, such as Beyonce, who was the highest paid musician in the United States in 2016, have money, coverage in all possible mediums, and power like never before. However, as of 2015, the worldwide revenue generated by the music business stood at **** billion U.S. dollars, some **** billion less than in 2002. It seems that the internet, the magical tool that is responsible for the creation of so many music celebrities, might also be responsible for the dismal statistics surrounding the sale of music albums in the United States, once the main revenue stream in the business. As the data shows, annual music album sales in the United States have plummeted from *** million units sold in 2007 to under *** million units sold in 2017. At the same time, digital music revenues, especially from album and single downloads, as well as subscription and streaming services, have been steadily growing in the past years. The fall in record sales is attributed to the rise of illegal music downloading, but also to legal services, which provide music products without the additional costs of production and shipping. Despite changes in the way Americans acquire music, U.S. consumers still enjoy and value music industry products. Recent studies show that more consumers are choosing to use a legal alternative to file sharing, mainly digital music streaming services, such as online radio services like Pandora and Spotify. Additionally, musicians reorient themselves from album sales towards live performances and business deals to boost their incomes. As of 2017, the sales revenue from concert tickets in North America was at an all-time high, with revenue hit ***** billion U.S. dollars for the first time.

In 2024, just **** million digital albums were sold in the United States. This marks a decline of almost ** percent as compared to the previous year, when **** million digital albums were sold. Digital album sales peaked in 2012 and 2013, but have been dropping ever since and have even fallen drastically below the figures recorded prior to 2010.

Data on the year-over-year changes in music sales in the United States from 2009 to 2023 show yearly increases in LP/vinyl album sales, which saw growth of **** percent between 2022 and 2023. Meanwhile, digital album sales are declining, with a unit sales drop of almost *** percent to ***** million in the last measured period.

Data on vinyl album sales in the United States from 1993 to 2023 shows consistent growth since 2006, and in 2023 a total of **** million vinyl albums were sold, up by over ** percent from the previous year. LP/vinyl sales - additional information Vinyl records, or LPs (short for Long Play), dominated the music recording industry for most of the twentieth century, holding their own against cassette tapes between the 1970s and 1990s, but sales of the compact disc (or CD), introduced in 1983, outpaced LP sales by the end of the 1980s. LPs have been enjoying a comeback in recent years, and the vinyl record is the only format of music available that has recorded positive sales growth from 2009 to 2017. This is impressive, especially because the overall number of albums sold in all formats has been decreasing since at least 2007. This is not because music piracy is replacing music purchasing — in fact, a recent study showed that those individuals who engage in pirating have more legally purchased music in their collections than those who do not use P2P sites to share music.The LP market, while growing, is still a niche market. The number of vinyl records shipped in 2017 is significantly less than the number of CDs, partially due to the market for vinyl consisting mainly of DJs, collectors, and audiophiles. DJs prefer the LP to most other formats due to its versatility and the ability to directly manipulate the record. Many audiophiles and collectors argue that the sound quality of the vinyl record is better than that of digitally recorded music, and new releases of older albums, such as those by the Beatles and Jimi Hendrix, are particularly popular. Modern artists from Mumford & Sons to Justin Timberlake also utilize the LP format. Ed Sheeran's album ''Divide" sold a total of ** thousand units on vinyl in 2017.

The sales volume of vinyl records in Finland increased significantly in the period from 2014 to 2024. The vinyl record sales peaked at ******* packages in 2023, while around ******* vinyl records were sold in 2024.

40 Years of Music Industry Sales

Data Description:

The record industry has seen a lot of change over the years.

8-tracks took a short-lived run at the dominance of vinyl, cassettes faded away as compact discs took the world by storm, and through it all, the music industry saw its revenue continue to climb. That is, until it was digitally disrupted.

Looking back at four decades of U.S. music industry sales data is a fascinating exercise as it charts not only the rise and fall the record company profits, but seismic shifts in technology and consumer behavior as well. The Long Fade Out

For people of a certain age group, early memories of acquiring new music are inexorably linked to piracy. Going to the store and purchasing a $20 disc wasn’t even a part of the thought process. Napster, the first widely used P2P service, figuratively skipped the needle off the record and ended years of impressive profitability in the recording industry.

In this dataset you can find each year sales and analysis this matter.

Time period covered 1973 - 2019

The sales based on format of musical recordings for the record production and integrated record production and distribution industries, sound recording and music publishing (NAICS 512210 and 512220), for two years of data.

****Attribute information:****

Row ID: A unique identifier for each row in the table Order ID: The identifier for each sales order Order Date: The date the order was placed Ship Date: The date the order was shipped Delivery Duration: The amount of time it took to deliver the order Ship Mode: The shipping method used for the order Customer ID: The identifier for the customer who placed the order Customer Name: The name of the customer who placed the order Country: The customer's country City: The customer's city State: The customer's state Postal Code: The customer's postal code Region: The customer's region Product ID: The identifier for the product that was ordered Category: The category of the product that was ordered (e.g., furniture, office supplies, technology) Sub-Category - This attribute likely refers to a subcategory within a larger product category (e.g., Tables within Furniture). (Bookcases - Chairs - Labels - Tables - Storage - Furnishings - Art - Phones - Binders - Appliances - Paper - Others). Product Name - This attribute specifies the name of the product sold. (Bush Somerset Collection Bookcase - Hon Deluxe Fabric Upholstered Stacking Chairs, Rounded Back - Self-Adhesive Address Labels for Typewriters by Universal - Bretford CP4500 Series Slim Rectangular Table - Others).

Sales - This attribute shows the total sales amount for each product. Values are listed in currency format Quantity - This attribute specifies the number of units sold for each product. Integer values. Discount - This attribute indicates the discount offered on the product. Discount Value - This attribute shows the total discount amount applied to the product. Profit - This attribute shows the profit earned on the sale of each product. COGS - This attribute likely refers to each product's Cost of Goods Sold. COGS = Sales - Profit

This statistic displays album sales distribution in the United Kingdom (UK) in 2016, broken down by artist gender. In 2016, male solo artists accounted for **** percent of album sales in the United Kingdom, with **** male artists in the year-end top 10 chart (namely, Justin Bieber, Elvis Presley, Drake and *** albums by David Bowie). The share of female groups reached the level of *** percent (the highest share over the last decade), mainly due to Little Mix.

The total sales of recordings by country of control for the record production and integrated record production and distribution industries, sound recording and music publishing (NAICS 512210 and 512220), for two years of data.

In 2024, the South Korean K-pop boyband BTS, also known as the Bangtan Boys, sold around 341,500 copies of their albums. All of their group sales came from their older albums or re-releases that year, as members focused on solo releases and completed their mandatory military service. The group is known as the biggest boyband in South Korea and has fans all over the globe. The BTS phenomenon BTS, also known as ‘Bangtan Boys’ (or Bangtan Sonyeondan in Korean), formed in 2010 and had their debut in 2013. Several years after their debut, the seven-member K-Pop boyband became one of the biggest bands in the country, which ultimately led to international success. The group went on seven world tours, released three concert movies in cinemas all over the world, and broke several records on a national and international basis. Their fanbase, known as “A.R.M.Y.”, is known for being one of the most active fan clubs on social media. Because of their international success, BTS has been awarded the Order of Cultural Merit by president Moon Jae-In. K-pop idol cultureK-pop, short for South Korean popular music, is a genre of pop music originating in South Korea. While the term describes songs of a variety of music styles, it developed an “idol culture” that proved to be successful both in South Korea and around the globe. K-pop idols are famous for being good-looking, fashionable, and highly trained in both singing and dancing. Music videos are often colorful and feature powerful dance choreographies. Individuals that are hoping to become a K-pop idol sign with agencies, preferably one of the leading companies, and dedicate years into their training before they might be able to debut in a boy or girl group. Due to high standards in the industry, K-pop labels are known to enforce strict rules on both trainees as well as idols.

US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

Key Features & Stats:

200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

95% Accuracy: Email & Phone numbers verified for maximum deliverability.

Bi-Weekly Updates: Never waste time on outdated leads with our frequent data refreshes.

50+ Data Points: Comprehensive firmographic, technographic, and contact details.

Core Fields:

Direct Work Emails & Personal Emails for effective outreach.

Mobile Phone Numbers for cold calls and SMS campaigns.

Full Name, Job Title, Seniority for better personalization.

Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

Location: HQ and regional offices to target local, national, or international markets.

Top Use Cases:

Cold Email & Calling Campaigns: Target the right people with accurate contact data.

CRM & Marketing Automation Enrichment: Enhance your CRM with enriched data for better lead management.

ABM & Sales Intelligence: Target the right decision-makers and personalize your approach.

Recruiting & Talent Mapping: Access CEO and senior leadership data for executive search.

Instant Delivery Options:

JSON – Bulk downloads via S3 for easy integration.

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SOC 2 Compliant: Ensuring the highest standards of security and data privacy.

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US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

The European vinyl record market, valued at €292.37 million in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 9.43% from 2025 to 2033. This resurgence is driven by several key factors. Firstly, a growing appreciation for the superior audio quality and tangible experience offered by vinyl compared to digital formats fuels consumer demand. Nostalgia for a bygone era of music consumption also plays a significant role, attracting both older generations revisiting their musical past and younger audiences seeking a unique and engaging listening experience. Furthermore, the thriving independent music scene and the increasing popularity of vinyl-focused record stores contribute to the market's expansion. The market segmentation reveals strong demand across various genres and applications, with key players strategically focusing on high-quality production, exclusive releases, and innovative packaging to enhance consumer engagement. Strong growth is predicted across key European markets, particularly in the UK, Germany, France, and Italy, which benefit from established music cultures and a strong collector base. The competitive landscape is characterized by a mix of large established players and smaller independent labels and pressing plants. Successful companies are leveraging e-commerce channels and direct-to-consumer strategies to reach wider audiences. While challenges exist, such as fluctuating raw material costs and production capacity limitations, the long-term outlook for the European vinyl record market remains exceptionally positive. The market's sustained growth trajectory is anticipated to continue throughout the forecast period, driven by evolving consumer preferences, the continued success of independent artists, and the sustained popularity of the vinyl format itself. This presents significant opportunities for both established and emerging players within the industry.

During the week of the Record Store Day event in the United States in 2019, a total of 827 thousand vinyl albums were sold across the country. A record-breaking 673 thousand of these albums were sold at indie retailers, meaning that 81.3 percent of total sales were conducted via independent record stores during the 2019 event.

Sales record of 100,000 items by global regions, country, and sales channel for the year 2010 through 2017. This data is highly useful for practice and hands-on activity as it is unbiased and vetted by reputable data agencies. You can also find same data and more in eforexcel.com. Data points include office supplies, cereal, fruits, household fittings, snacks and cosmetics.

1.Introduction

Sales data collection is a crucial aspect of any manufacturing industry as it provides valuable insights about the performance of products, customer behaviour, and market trends. By gathering and analysing this data, manufacturers can make informed decisions about product development, pricing, and marketing strategies in Internet of Things (IoT) business environments like the dairy supply chain.

One of the most important benefits of the sales data collection process is that it allows manufacturers to identify their most successful products and target their efforts towards those areas. For example, if a manufacturer could notice that a particular product is selling well in a certain region, this information could be utilised to develop new products, optimise the supply chain or improve existing ones to meet the changing needs of customers.

This dataset includes information about 7 of MEVGAL’s products [1]. According to the above information the data published will help researchers to understand the dynamics of the dairy market and its consumption patterns, which is creating the fertile ground for synergies between academia and industry and eventually help the industry in making informed decisions regarding product development, pricing and market strategies in the IoT playground. The use of this dataset could also aim to understand the impact of various external factors on the dairy market such as the economic, environmental, and technological factors. It could help in understanding the current state of the dairy industry and identifying potential opportunities for growth and development.

2. Citation

Please cite the following papers when using this dataset:

1. I. Siniosoglou, K. Xouveroudis, V. Argyriou, T. Lagkas, S. K. Goudos, K. E. Psannis and P. Sarigiannidis, "Evaluating the Effect of Volatile Federated Timeseries on Modern DNNs: Attention over Long/Short Memory," in the 12th International Conference on Circuits and Systems Technologies (MOCAST 2023), April 2023, Accepted

3. Dataset Modalities

The dataset includes data regarding the daily sales of a series of dairy product codes offered by MEVGAL. In particular, the dataset includes information gathered by the logistics division and agencies within the industrial infrastructures overseeing the production of each product code. The products included in this dataset represent the daily sales and logistics of a variety of yogurt-based stock. Each of the different files include the logistics for that product on a daily basis for three years, from 2020 to 2022.

3.1 Data Collection

The process of building this dataset involves several steps to ensure that the data is accurate, comprehensive and relevant.

The first step is to determine the specific data that is needed to support the business objectives of the industry, i.e., in this publication’s case the daily sales data.

Once the data requirements have been identified, the next step is to implement an effective sales data collection method. In MEVGAL’s case this is conducted through direct communication and reports generated each day by representatives & selling points.

It is also important for MEVGAL to ensure that the data collection process conducted is in an ethical and compliant manner, adhering to data privacy laws and regulation. The industry also has a data management plan in place to ensure that the data is securely stored and protected from unauthorised access.

The published dataset is consisted of 13 features providing information about the date and the number of products that have been sold. Finally, the dataset was anonymised in consideration to the privacy requirement of the data owner (MEVGAL).

File	Period	Number of Samples (days)
product 1 2020.xlsx	01/01/2020–31/12/2020	363
product 1 2021.xlsx	01/01/2021–31/12/2021	364
product 1 2022.xlsx	01/01/2022–31/12/2022	365
product 2 2020.xlsx	01/01/2020–31/12/2020	363
product 2 2021.xlsx	01/01/2021–31/12/2021	364
product 2 2022.xlsx	01/01/2022–31/12/2022	365
product 3 2020.xlsx	01/01/2020–31/12/2020	363
product 3 2021.xlsx	01/01/2021–31/12/2021	364
product 3 2022.xlsx	01/01/2022–31/12/2022	365
product 4 2020.xlsx	01/01/2020–31/12/2020	363
product 4 2021.xlsx	01/01/2021–31/12/2021	364
product 4 2022.xlsx	01/01/2022–31/12/2022	364
product 5 2020.xlsx	01/01/2020–31/12/2020	363
product 5 2021.xlsx	01/01/2021–31/12/2021	364
product 5 2022.xlsx	01/01/2022–31/12/2022	365
product 6 2020.xlsx	01/01/2020–31/12/2020	362
product 6 2021.xlsx	01/01/2021–31/12/2021	364
product 6 2022.xlsx	01/01/2022–31/12/2022	365
product 7 2020.xlsx	01/01/2020–31/12/2020	362
product 7 2021.xlsx	01/01/2021–31/12/2021	364
product 7 2022.xlsx	01/01/2022–31/12/2022	365

3.2 Dataset Overview

The following table enumerates and explains the features included across all of the included files.

Feature	Description	Unit
Day	day of the month	-
Month	Month	-
Year	Year	-
daily_unit_sales	Daily sales - the amount of products, measured in units, that during that specific day were sold	units
previous_year_daily_unit_sales	Previous Year’s sales - the amount of products, measured in units, that during that specific day were sold the previous year	units
percentage_difference_daily_unit_sales	The percentage difference between the two above values	%
daily_unit_sales_kg	The amount of products, measured in kilograms, that during that specific day were sold	kg
previous_year_daily_unit_sales_kg	Previous Year’s sales - the amount of products, measured in kilograms, that during that specific day were sold, the previous year	kg
percentage_difference_daily_unit_sales_kg	The percentage difference between the two above values	kg
daily_unit_returns_kg	The percentage of the products that were shipped to selling points and were returned	%
previous_year_daily_unit_returns_kg	The percentage of the products that were shipped to

This dataset is prepared for statistical factor pricing models and standardized across variables including country, region, currency, vendor, artist for seamless data filtering.