Visualizing the surge in U.S. consumer debt and spending
The Chart of the Week is a weekly Visual Capitalist feature on Fridays.
Next week, Black Friday and Cyber Monday will kick off the start to the U.S. holiday shopping season, during which consumers are expected to spend a total of $655.8 billion this year.
With the average bill coming in at $938.50 for holiday spending, where are people finding the extra cash?
We looked back at the last five years of Equifax data to see how consumer debt correlates to holiday purchases.
There’s Credit In Store
One way consumers take advantage of Black Friday deals is through the issuance of store credit. Specifically, Black Friday traditionally sees a noteworthy surge in signups to private label cards – the kind redeemed at stores like Macy’s.
Each year, roughly half a million Americans are signing up for new accounts on Black Friday:
|Private label cards issued||2012||2013||2014||2015|
|Prior 10 days (Avg.)||130,312||153,605||164,341||162,006|
|Following 10 days (Avg.)||167,144||181,454||182,320||181,903|
Furniture and department stores are among the biggest providers of this type of credit to consumers. Here are the five-year averages by industry for the months of November and December:
|New store credit issued (Nov/Dec)||$ millions|
Charge it, please
This bump in activity doesn’t stop with new signups for store credit. The average balances on store cards and credit cards both jump noticeably in the months following the holiday season:
|Month||Store Card Balance (5-Year Average)||Credit Card Balance (5-year Average)|
Every year is different, but the data always follows the same trend.
Stocking up on Black Friday deals is not cheap, and extra dollars spent eventually make their way onto the credit card statement with the cost of interest added on.
Visualizing the Rise of Digital Payment Adoption
By 2023, digital transaction values could reach $6.7T globally—catalyzed by digital commerce and mobile payments. COVID-19 is only accelerating this trend.
Digital Payments: The Evolution of Currency
Over the last decade, the digital payments landscape has undergone a structural shift.
Consumer behaviors are changing—moving towards contactless and cashless transactions. Meanwhile, as the magnitude of COVID-19 grows, these trends have only accelerated.
Today’s infographic navigates the digital payments ecosystem, exploring its history and innovative technologies, and how it continues to grow as a solution of choice for trillions of dollars of transactions each year.
Digital Payments Timeline
The origins of digital payments began over 25 years ago with then 21 year-old entrepreneur Dan Kohn in Nashua, New Hampshire, who sold a CD over the internet via credit card payment.
- 1994: First online purchase is made
A CD of Sting’s Ten Summoner’s Tales is sold for $12.48 on NetMarket.
- 1997: First mobile payments and first contactless payments
Coca-Cola installs two vending machines in Helsinki that accept payment by text message.
- 1999: Paypal launches electronic money transfer service
Early on, PayPal’s user base grew nearly 10% daily. Tesla CEO Elon Musk and venture capitalist Peter Thiel were among its co-founders.
- 2003: Alibaba launches Alipay in China
Today, the mobile payment platform has witnessed stunning growth — leveraging digital wallets accepted by merchants in over 50 countries and regions.
- 2007: M-PESA creates the first payments system for mobile phones
Kenya-based M-PESA launched its mobile banking and microfinancing service. Today, it has over 37 million active users on its platform across Africa.
- 2009: Bitcoin enables secure, untraceable payments
Satoshi Nakamoto develops the first decentralized payment network in the world.
- 2013: WeChat Pay is rolled into the popular messaging platform
By 2018, it surpasses 800 million monthly active users.
- 2014: Apple Pay launches
By 2023, over $2 trillion of mobile payment transactions could be authenticated by biometric technology.
As technological advances continue to unfold, advances in digital payment technologies are creating ripple effects globally.
Geographical Differences in Adoption
Unsurprisingly, the sheer volume of digital payments has continued to grow at a double-digit pace, now surpassing the $4.1 trillion mark.
How do cashless payments break down across different countries?
|Country||Daily Average Volume of Cashless Payments||Average Annual Cashless Payments Per Person|
Singapore has the highest number of cashless payments per individual, averaging 831 cashless payments annually. The country’s robust e-commerce market is supported by high-speed, reliable internet and a young, tech-savvy population.
With e-commerce spending accounting for about 6% of South Korea’s national GDP, it is another leading purveyor of a cashless society. Meanwhile, Sweden is projected to become a cashless nation as early as 2023.
Pivotal factors—including core infrastructure, consumer behavior and rising revenues—provide a glimpse into the rapidly changing payment horizon.
The Future of Digital Payments
As transactions rise, a number of other technological innovations could be instrumental to shaping the evolution of the digital payments industry:
- Messaging-app payments
Facebook Messenger, WhatsApp, and WeChat can leverage the reach of billions of users.
- Voice-activated commands
Paying for gas, groceries, or retail via voice could soar.
- Peer-to-peer (P2P) payments
Bank of America and Visa are investing heavily into P2P partnerships.
Over one million transactions take place daily on average.
- Biometric payments
Smartphone biometric security features could spur traction across digital payments.
- Facial recognition
May soon replace QR codes across retail, transit, and airports in China.
- Crypto wallet adoption
Blockchain wallet users are predicted to soar to 200 million by 2030.
- Hardware & in-store interfaces
Square, Stripe, and Clover are driving new mobile processing integrations.
The $4.1T digital payments ecosystem is facing a notable transition, catalyzed by a wave of global advancements and disruption. As the industry continues to widen its reach, consumers and investors alike can benefit from the shift towards a cashless economy.
The Racial Wealth Gap in America: Asset Types Held by Race
White families are more likely to hold assets of any type compared to other races. This chart highlights the substantial racial wealth gap.
The Racial Wealth Gap
People of color have faced economic inequality for generations, and the recent wave of Black Lives Matter protests has renewed discussions on these disparities.
Compared to White families, other races have lower levels of income and net worth. They are also less likely to hold assets of any type. In fact, 19% of Black families have zero or negative net worth, while only 9% of White households have no wealth.
Today’s chart uses data from the U.S. Federal Reserve’s triennial Survey of Consumer Finances to highlight the racial wealth gap, and the proportion of households that own different kinds of assets by racial group.
Asset Types Held By Race
The financial profile between racial groups varies widely. Below is the percentage of U.S. families with each type of asset, according to the most recent survey from 2016.
|Family-owned Business Equity||15%||7%||6%||13%|
Vehicles are the most common asset across all racial groups, followed by a primary residence.
However, the level of equity—or home value less debts—families have in their houses differs by race. White families have equity of $215,800, whereas Black and Hispanic households have net housing wealth of $94,400 and $129,800 respectively.
In addition, White households are more likely to hold financial assets such as retirement accounts, family businesses, and stocks. These assets are instrumental in building wealth, and are prominent in the wealth composition of America’s richest families.
With fewer people of color holding these assets, they miss out on higher average returns than low-risk assets, as well as the power of compound interest. These portfolio differences are striking, but they are not the most important contributing factor in the racial wealth gap.
Demographic and Economic Variations
White households are also more likely to have demographic characteristics that are associated with wealth. According to the U.S. Federal Reserve, they are:
- Older, with more than half of households age 55 and up
- More highly educated, with 51% having some type of degree
- Less likely to have a single parent
- More likely to have received an inheritance
For example, 39% of White heads of households have a bachelor’s degree or higher, compared to 23% and 17% for Black and Hispanic household heads, respectively. However, education doesn’t fully explain the wealth inequities.
Enormous wealth disparities exist between families with the same education level. Even in cases where Black and Hispanic household heads have obtained a bachelor’s degree, their families’ median wealth of $68,000 and $78,000 respectively is still lower than the $98,000 median wealth for White families where the head has no bachelor’s degree.
After accounting for demographic factors, researchers still found there were considerable inequities. What, then, could be primarily responsible for the racial wealth gap?
The Income Gap
While previous research found that the wealth gap is “too big” to be explained by a difference in income, a recent study from the Federal Reserve Bank of Cleveland offers a new perspective. Focusing on White and Black U.S. households only, researchers analyzed the dynamics of wealth accumulation over time, as opposed to previous studies that considered short time periods.
They found that income inequality was the primary contributor to the racial wealth gap. According to the model, if Black and White households had earned the same labor income from 1962 onwards, the Black-to-White wealth ratio would have reached 0.9 by 2007.
Moving forward, the study concludes that policy changes will likely have a positive impact if they address issues contributing to income gaps. This includes reducing racial discrimination in the labor market, and creating programs, such as mentorships, that improve environments for specific racial subgroups.
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