Gridiron Growth

More than 50% of the total U.S. viewing population tuned into at least one minute of a college football game in the 2016 season 

During the regular 2016 college football season, about 58 million college football viewers lived in a household with an income of $100,000 or more—a big jump from the 51.5 million viewers from the 2015 season in the same demographic.


Choice Consumables

Everyday consumables are rising to the top of the list of categories for which global respondents most often say they are willing to trade up.


In-Person Purchasers

When deciding on a mobile phone, 57% of consumers purchase in store, while 37% say they plan to buy online.


Apex of Apps

Facebook was the top smartphone app in 2016, with more than 146 million average unique users each month, up 14% from last year.


Uncommon Sense

News and views from Nielsen's leading voices

Alessandro Zolla, Machine Learning Program Lead

Humans in the
Smart Machine Age

In the coming decades, machine learning will transform work as we know it. And unlike previous revolutions, which primarily affected blue-collar workers, the smart machine revolution has white-collar workers in its sights.

Journal of Measurement

Volume 1, Issue 2

Behind every piece of data at Nielsen, behind every insight, there’s a world of scientific methods and techniques in constant development. And we’re constantly cooperating on ground-breaking initiatives with other scientists and thought-leaders in the industry.


  • What's In Store for Online Grocery Shopping  
    Digital has disrupted a whole host of interactions, including the way we watch video content and the ways we communicate with friends and family. The way we shop is no exception.
  • 2016 U.S. Music Year-End Report 
    Music consumption is at an all-time high. Overall volume is up 3% over 2016, fueled by a 76% increase in on-demand audio streams, enough to offset declines in sales and return a positive year for the business.
  • The Nielsen Total Audience Report: Q3 2016 
    In this report, we provide an extensive profile of working and stay-at-home moms—their income, education, home status, urbanicity and race/origin. We provide data on their technology ownership and media behaviors, across TV, radio and digital media.