Credit Card Rewards Report: How Much Are Consumers Getting?

Credit Card Rewards Report: How Much Are Consumers Getting?

Joe Resendiz
by updated

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Banks have been spending an exuberant amount of money on credit card rewards over the last several years. This trend has had a positive impact on consumers who are in the market for a new payment card. We took a dive into the data behind the credit card rewards market to develop a better understanding of how it's evolving and how much consumers are benefiting from this trend.

How Much In Rewards Have Consumers Collected from Banks?

American Express, Discover and Capital One—some of the largest credit card issuers in the country—spent a combined $12.9 billion on credit card rewards in 2017. This marks a 59% increase over 2011, and it speaks to the increasing rewards war that has been raging among card issuers this decade. However, this is just a small part of the money spent on rewards throughout the industry. Other large issuers, like Citibank and JPMorgan Chase, do not disclose how much they are spending on rewards per year. But in a recent SEC filing, Chase did disclose its total rewards liability—that is, how much its cardmembers have accumulated in rewards and are waiting to redeem. As of 2017, Chase users have a combined worth of $4.9 billion in unredeemed credit card points.

A graph showing the total annual spending on credit card rewards from 2011 to 2017, among the major card issuers.

Our analysis also included a look at spending per cardmember. Last year, the banks we examined above spent, on average, $78 per active account. American Express lead the pack, with an annual cardmember spend of $121 per account, while Discover put up just $41 per account. While this shows a positive gain for card users, it is presently unclear whether consumers are being charged more in interest and card fees than they are gaining.

Cities With the Most and Least Credit Card Rewards Participation

Nationally, 69% of households are estimated to participate in at least one credit card rewards program. This can encompass any credit card account that provides a sign-up bonus, ongoing rewards or promotions to its cardholders. Select parts of the country have far more households participating in credit card rewards than others. We examined data for 318 cities across the U.S. where the population was above 100,000. Californians seemed the most rewards-obsessed. For example, more than 70% of households in Fremont, San Mateo and Santa Clarita enrolled in at least one credit card rewards program.

For the most part, cities in southern states like Texas, Florida, Georgia and Mississippi saw lower participation. However, a few northern cities also saw low participation—namely, Detroit along with a few cities in Ohio. Detroit placed last, with just 43% of households using rewards.

Rank
City
Rewards Participation
Households with Rewards
Average Card Debt
1Fremont, CA80%62,35811,931
2San Mateo, CA78%32,53510,512
3Honolulu, HI77%105,0115,619
4Daly City, CA76%25,1189,787
5Santa Clarita, CA76%47,78011,731
6Highlands Ranch, CO76%29,4269,994
7Naperville, IL75%39,0477,855
8Huntington Beach, CA75%58,52010,482
9Concord, CA75%35,1309,274
10Centennial, CO74%31,0688,082
11Thousand Oaks, CA74%35,1318,293
12Antioch, CA74%26,0659,502
Show All Rows
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FL","70%","31,574","10,539"],["39","San Jose, CA","70%","232,893","9,322"],["40","Pasadena, CA","70%","40,732","10,143"],["41","Norwalk, CA","70%","19,367","10,412"],["42","Allen, TX","70%","23,055","12,101"],["43","League City, TX","70%","24,582","7,819"],["44","The Woodlands, TX","69%","29,913","7,199"],["45","Arvada, CO","69%","32,982","7,333"],["46","West Jordan, UT","69%","22,830","8,626"],["47","Richmond, CA","69%","26,717","7,920"],["48","Costa Mesa, CA","69%","29,233","10,439"],["49","Burbank, CA","69%","30,169","10,345"],["50","Surprise, AZ","69%","35,417","6,495"],["51","Oakland, CA","68%","116,776","8,347"],["52","Chandler, AZ","68%","66,552","7,877"],["53","Peoria, AZ","68%","44,408","6,842"],["54","Stamford, CT","68%","33,913","7,853"],["55","Thornton, CO","68%","32,256","8,361"],["56","Joliet, IL","67%","33,022","7,127"],["57","Anaheim, CA","67%","70,557","10,242"],["58","Garden Grove, CA","67%","32,367","9,816"],["59","Downey, CA","67%","23,630","9,775"],["60","Elgin, IL","67%","24,859","6,719"],["61","Westminster, CO","67%","31,826","7,544"],["62","Anchorage, AK","67%","74,518","10,475"],["63","Aurora, IL","67%","43,515","7,230"],["64","Cambridge, MA","67%","32,119","6,153"],["65","Oceanside, CA","67%","42,795","7,882"],["66","Palmdale, CA","67%","31,431","10,012"],["67","Cary town, NC","67%","40,809","8,368"],["68","San Diego, CA","67%","348,321","8,665"],["69","McKinney, TX","67%","38,300","11,570"],["70","San Buenaventura, CA","67%","27,968","7,159"],["71","Clovis, CA","67%","24,411","7,961"],["72","Enterprise, NV","66%","33,044","8,281"],["73","Henderson, NV","66%","74,857","6,721"],["74","Chula Vista, CA","66%","54,946","9,108"],["75","Olathe, KS","66%","32,249","8,094"],["76","Overland Park, KS","66%","51,691","7,062"],["77","Yonkers, NY","66%","50,930","7,546"],["78","Fort Lauderdale, FL","66%","53,501","8,301"],["79","Temecula, CA","65%","22,883","9,552"],["80","Plano, TX","65%","73,295","9,761"],["81","Virginia Beach, VA","65%","114,243","7,444"],["82","Washington, DC","65%","202,938","7,175"],["83","Glendale, CA","65%","48,879","9,159"],["84","Hillsboro, OR","65%","25,260","7,586"],["85","Murrieta, CA","65%","22,602","8,870"],["86","Hollywood, FL","65%","40,743","8,502"],["87","Seattle, WA","65%","207,666","6,153"],["88","Long Beach, CA","65%","110,245","9,320"],["89","Lancaster, CA","65%","33,149","9,417"],["90","Oxnard, CA","65%","34,114","7,701"],["91","Chesapeake, VA","65%","55,846","7,407"],["92","Pomona, CA","65%","26,106","9,030"],["93","Rancho Cucamonga, CA","65%","37,017","8,872"],["94","Fairfield, CA","64%","24,534","9,767"],["95","Renton, WA","64%","26,280","6,083"],["96","Lakewood, CO","64%","44,214","6,647"],["97","Santa Ana, CA","64%","49,681","9,516"],["98","Jersey City, NJ","64%","68,749","8,802"],["99","West Palm Beach, FL","64%","30,399","8,082"],["100","Corona, CA","64%","29,965","9,321"],["101","Bakersfield, CA","64%","75,629","7,899"],["102","Pompano Beach, FL","64%","29,217","7,204"],["103","Santa Rosa, CA","63%","43,109","8,504"],["104","Round Rock, TX","63%","26,713","6,872"],["105","Rochester, MN","63%","29,444","7,310"],["106","West Valley City, UT","63%","25,414","6,968"],["107","Los Angeles, CA","63%","876,282","9,161"],["108","Colorado Springs, CO","63%","118,364","6,615"],["109","Beaverton, OR","63%","26,670","6,707"],["110","Carrollton, TX","63%","30,511","9,272"],["111","Sterling Heights, MI","63%","31,759","5,667"],["112","Richardson, TX","63%","26,737","8,956"],["113","Boise City, ID","62%","58,623","6,234"],["114","New York, NY","62%","2,060,291","7,789"],["115","Aurora, CO","62%","87,352","6,834"],["116","Madison, WI","62%","69,768","5,501"],["117","Mesa, AZ","62%","113,987","5,794"],["118","Sandy Springs, GA","62%","29,728","6,849"],["119","Boulder, CO","62%","28,912","8,983"],["120","Sacramento, CA","62%","114,363","7,461"],["121","Brandon, FL","62%","27,363","8,022"],["122","Portland, OR","62%","169,316","6,616"],["123","Denver, CO","62%","194,106","7,202"],["124","Cape Coral, FL","62%","43,704","5,148"],["125","Midland, TX","62%","31,419","9,592"],["126","Vista, CA","62%","19,442","7,188"],["127","Compton, CA","62%","15,067","8,399"],["128","Billings, MT","62%","29,700","8,344"],["129","Escondido, CA","62%","29,908","7,427"],["130","Miami Gardens, FL","62%","21,397","7,627"],["131","Spring Hill, FL","62%","25,289","6,026"],["132","Boston, MA","61%","172,352","5,436"],["","United States Average","61%","75,678,710","6,750"],["133","Fort Collins, CO","61%","40,837","8,720"],["134","Vancouver, WA","61%","44,392","5,922"],["135","Fontana, CA","61%","31,323","9,188"],["136","Vallejo, CA","61%","26,278","8,332"],["137","Broken Arrow, OK","61%","24,864","10,587"],["138","Cedar Rapids, IA","61%","34,354","6,649"],["139","Greeley, CO","61%","23,398","8,383"],["140","North Las Vegas, NV","61%","45,525","6,808"],["141","Albuquerque, NM","60%","139,812","6,213"],["142","Las Vegas, NV","60%","137,841","6,250"],["143","Des Moines, IA","60%","52,677","4,757"],["144","Minneapolis, MN","60%","107,484","5,861"],["145","Lowell, MA","60%","24,546","4,824"],["146","Kent, WA","60%","22,786","5,438"],["147","Wichita, KS","60%","93,524","5,988"],["148","Visalia, CA","60%","25,958","8,782"],["149","Tacoma, WA","60%","50,253","5,114"],["150","Spring Valley, NV","60%","47,558","6,058"],["151","Chicago, IL","60%","642,976","6,103"],["152","Palm Bay, FL","60%","25,840","5,027"],["153","Saint Petersburg, FL","60%","69,338","6,842"],["154","Omaha, NE","60%","101,606","4,717"],["155","Tempe, AZ","59%","42,946","5,842"],["156","Inglewood, CA","59%","22,650","7,819"],["157","Phoenix, AZ","59%","336,667","6,144"],["158","Gresham, OR","59%","24,960","5,824"],["159","Salt Lake City, UT","59%","48,610","6,544"],["160","Clearwater, FL","59%","30,097","6,491"],["161","St. Paul, MN","59%","70,710","5,324"],["162","El Monte, CA","59%","17,062","7,947"],["163","Raleigh, NC","59%","109,493","6,851"],["164","Glendale, AZ","59%","51,144","5,805"],["165","El Cajon, CA","59%","21,098","6,935"],["166","Stockton, CA","59%","55,778","6,760"],["167","Salem, OR","58%","36,229","7,448"],["168","Everett, WA","58%","26,384","5,086"],["169","Sioux Falls, SD","58%","41,856","6,443"],["170","Grand Prairie, TX","58%","37,944","8,812"],["171","Lewisville, TX","58%","25,483","8,877"],["172","Charlotte, NC","58%","192,959","6,937"],["173","Modesto, CA","58%","42,084","7,822"],["174","Hampton, VA","58%","32,175","5,875"],["175","Austin, TX","58%","221,556","5,819"],["176","Odessa, TX","58%","25,598","8,562"],["177","Riverside, CA","58%","56,013","7,493"],["178","Ann Arbor, MI","58%","28,600","6,506"],["179","Charleston, SC","58%","36,596","5,271"],["180","Santa Maria, CA","58%","16,682","8,573"],["181","Jacksonville, FL","58%","204,072","5,589"],["182","Moreno Valley, CA","58%","31,958","7,669"],["183","Spokane, WA","58%","52,392","7,651"],["184","Elizabeth, NJ","57%","25,025","6,548"],["185","Garland, TX","57%","46,904","7,693"],["186","Fresno, CA","57%","95,816","6,401"],["187","Warren, MI","57%","30,724","4,813"],["188","Tampa, FL","57%","86,897","7,610"],["189","Lincoln, NE","57%","64,476","6,161"],["190","Eugene, OR","57%","40,724","7,344"],["191","Arlington, TX","57%","81,053","8,197"],["192","Rialto, CA","57%","14,596","7,513"],["193","Independence, MO","57%","28,396","5,035"],["194","Columbus, OH","57%","207,383","4,270"],["195","Lakeland, FL","57%","25,002","4,705"],["196","Metairie, LA","57%","34,489","4,779"],["197","East Los Angeles, CA","57%","17,985","7,636"],["198","Newport News, VA","57%","40,777","6,089"],["199","Fort Worth, TX","57%","169,903","8,740"],["200","Reno, NV","56%","55,309","7,880"],["201","Springfield, IL","56%","28,948","5,680"],["202","Ontario, CA","56%","25,981","7,587"],["203","Manchester, NH","56%","26,290","6,368"],["204","Paradise, NV","56%","54,182","5,727"],["205","Mesquite, TX","56%","29,202","7,665"],["206","Port St. Lucie, FL","56%","37,858","6,279"],["207","Las Cruces, NM","56%","23,394","7,176"],["208","Salinas, CA","56%","24,363","8,435"],["209","Atlanta, GA","56%","118,176","6,722"],["210","Kansas City, MO","56%","112,539","5,752"],["211","Davenport, IA","56%","23,741","5,832"],["212","Pittsburgh, PA","56%","77,259","4,676"],["213","Fargo, ND","56%","30,915","6,181"],["214","Hialeah, FL","56%","41,739","6,384"],["215","Provo, UT","56%","19,141","7,610"],["216","San Antonio, TX","55%","297,588","5,140"],["217","Waterbury, CT","55%","23,165","5,527"],["218","Louisville\/Jefferson, KY","55%","142,470","5,413"],["219","Miami, FL","55%","98,955","7,714"],["220","Denton, TX","55%","27,297","7,837"],["221","Durham, NC","55%","59,900","6,093"],["222","Tucson, AZ","55%","116,473","5,293"],["223","Pasadena, TX","55%","29,305","5,330"],["224","Pueblo, CO","55%","24,878","6,502"],["225","Lehigh Acres, FL","55%","19,443","5,145"],["226","Philadelphia, PA","55%","342,776","5,351"],["227","Murfreesboro, TN","55%","27,799","5,571"],["228","Bridgeport, CT","55%","29,147","5,841"],["229","Orlando, FL","55%","66,726","7,220"],["230","Sunrise Manor, NV","55%","35,809","5,353"],["231","Houston, TX","55%","483,523","5,418"],["232","Topeka, KS","55%","29,604","5,449"],["233","Worcester, MA","54%","37,940","5,258"],["234","Victorville, CA","54%","19,722","7,207"],["235","Peoria, IL","54%","25,985","5,741"],["236","Corpus Christi, TX","54%","67,425","7,348"],["237","Nashville-Davidson, TN","54%","149,622","5,365"],["238","Fort Wayne, IN","54%","56,963","5,522"],["239","Amarillo, TX","54%","42,007","7,269"],["240","El Paso, TX","54%","124,680","4,935"],["241","Norfolk, VA","54%","47,759","6,063"],["242","Richmond, VA","54%","51,628","6,021"],["243","High Point, NC","54%","23,615","5,678"],["244","Norman, OK","54%","26,403","9,216"],["245","Paterson, NJ","54%","24,352","6,244"],["246","Huntsville, AL","54%","44,732","6,583"],["247","Baltimore, MD","54%","134,921","6,296"],["248","McAllen, TX","54%","24,656","5,226"],["249","Greensboro, NC","54%","65,081","5,495"],["250","Irving, TX","54%","48,880","8,198"],["251","Grand Rapids, MI","54%","41,630","4,282"],["252","San Angelo, TX","53%","21,188","6,783"],["253","Oklahoma City, OK","53%","137,722","9,221"],["254","Newark, NJ","53%","52,592","5,944"],["255","Indianapolis, IN","53%","183,290","5,276"],["256","Buffalo, NY","53%","59,434","3,969"],["257","Green Bay, WI","53%","22,967","5,596"],["258","Lexington-Fayette, KY","53%","70,037","7,052"],["259","Lafayette, LA","53%","28,557","7,055"],["260","Abilene, TX","53%","24,341","6,426"],["261","Allentown, PA","53%","22,795","4,202"],["262","Little Rock, AR","52%","44,543","4,792"],["263","Columbia, MO","52%","24,915","5,863"],["264","Milwaukee, WI","52%","121,792","4,395"],["265","Syracuse, NY","52%","30,111","3,934"],["266","New Haven, CT","52%","25,668","5,587"],["267","Dallas, TX","52%","262,900","7,627"],["268","Wichita Falls, TX","52%","20,204","6,401"],["269","Lubbock, TX","52%","50,508","6,821"],["270","Rochester, NY","52%","45,386","3,955"],["271","Kansas City, KS","52%","28,878","4,925"],["272","Columbia, SC","51%","25,266","4,485"],["273","Wilmington, NC","51%","27,225","6,451"],["274","Clarksville, TN","51%","29,439","7,082"],["275","Rockford, IL","51%","29,690","5,113"],["276","Chattanooga, TN","51%","39,223","4,539"],["277","Killeen, TX","51%","27,757","7,421"],["278","Montgomery, AL","51%","40,055","6,372"],["279","South Bend, IN","51%","20,275","5,067"],["280","Tyler, TX","51%","20,640","6,275"],["281","Evansville, IN","50%","25,638","4,835"],["282","Springfield, MA","50%","28,850","4,429"],["283","Akron, OH","50%","41,716","3,622"],["284","Toledo, OH","50%","58,520","3,635"],["285","North Charleston, SC","50%","21,684","4,516"],["286","Tulsa, OK","50%","85,642","8,147"],["287","Providence, RI","50%","31,396","4,967"],["288","St. Louis, MO","50%","70,918","5,003"],["289","Roanoke, VA","50%","21,859","5,917"],["290","Columbus, GA","50%","39,058","6,479"],["291","Baton Rouge, LA","50%","45,973","4,560"],["292","Fayetteville, NC","49%","40,612","6,218"],["293","San Bernardino, CA","49%","30,044","6,162"],["294","Winston-Salem, NC","49%","48,545","6,155"],["295","Mobile, AL","49%","39,143","6,036"],["296","Springfield, MO","49%","36,554","4,709"],["297","Lansing, MI","49%","24,519","4,893"],["298","Augusta-Richmond, GA","49%","37,496","4,076"],["299","Beaumont, TX","49%","22,747","6,262"],["300","Tallahassee, FL","49%","38,780","6,217"],["301","Shreveport, LA","48%","38,226","6,233"],["302","Knoxville, TN","48%","39,515","4,533"],["303","New Orleans, LA","48%","81,080","4,672"],["304","College Station, TX","48%","18,857","6,956"],["305","Memphis, TN","48%","119,543","4,530"],["306","Laredo, TX","47%","33,797","7,283"],["307","Savannah, GA","47%","27,577","5,953"],["308","Cincinnati, OH","47%","64,352","5,052"],["309","Hartford, 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We looked at several metrics to determine whether any factors tied these cities together and whether anything could explain the rewards participation, or lack thereof. The biggest correlation was present between rewards participation and median household income. The two had a strong, positive correlation of 0.85. The more affluent a city was, the more likely it is to have a high number of households with rewards cards. Fremont, the city where most households have a at least one rewards card, had the fourth-highest median income on our list.

It should also be noted that high credit card rewards participation correlates to a high level of debt. There was a 0.72 correlation between average credit card debt in a city and its credit card rewards participation rate. However, it should be noted that higher card debt can be a result of many factors, and it isn't necessarily caused by rewards. For example, more affluent cities may spend more in general, which would inflate the total credit card balances for that region.

Consumer Advice: How to Take Advantage of Rewards Credit Cards

Consumers who want to start using credit card rewards should proceed with caution. While there's an opportunity to earn a free vacation or score hundreds of dollars in cash-back rewards, there are some risks involved. First and foremost, consumers should be careful with accruing debt. Avoid charging purchases to a credit card unless you know you can pay them off by the end of the month.

You should also consider a card's annual fee before signing up for a rewards card. Take time to figure out whether it makes sense to pay it. How much you spend on a card typically determines if it’s worth paying an annual fee. Charge less than $12,000 a year on your card? Then you should stick to a credit card with no annual fee. Those who spend more could consider getting a card that offers benefits and charges an annual fee. The following chart explains how annual spending impacts whether an annual fee is worth paying. In this scenario, Card A charges a $50 annual fee and offers 2% cash back, and Card B does not charge an annual fee and offers 1.5% cash back.

Annual Spending
Card A Net Rewards
Card B Net Rewards
Winner
$5,000(2% x $5,000) - $50 = $50(1.5% x $5,000) = $75Card B
$10,000(2% x $10,000) - $50 = $150(1.5% x $10,000) = $150Tie
$15,000(2% x $15,000) - $50 = $250(1.5% x $15,000) = $225Card A

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Finally, consumers need to consider which type of rewards card is best suited for their financial lifestyle. There are three main types of rewards cards: cash back, generic travel and co-branded travel. The last one is only worth considering if you're an avid traveler who is loyal to one particular hotel or airline brand. Generic travel cards excel for consumers who spend a lot on entertainment, travel and restaurants. Cash-back cards typically have no annual fees, and they're best for rewarding everyday purchases, like gas and groceries.

When choosing a card, it's best to focus on specific features and prioritize the ones that are most important to you.

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Methodology

Rewards spending by issuer was sourced using balance sheets the companies submit to the U.S. Securities and Exchange Commission (SEC). We looked through 10-k and 8-k filings for the largest credit card issuers by loan amount. Ultimately, rewards spend was reported only by three of the top six issuers: Discover, American Express and Capital One. To obtain spending per cardmember, we pulled the number of active cardmembers by bank from PaymentSource.com.

For data on credit card rewards participation by city, we turned to estimates provided by S&P Global Market Intelligence. Participation was obtained by dividing the number of households enrolled in at least one credit card rewards program by the total number of households for that city. We also considered cities where the population was at least 100,000. Median income and debt data were also obtained through the Market Intelligence platform.

Joe Resendiz

Joe Resendiz is a former investment banking analyst for Goldman Sachs, where he covered public sector and infrastructure financing. During his time on Wall Street, Joe worked closely with the debt capital markets team, which allowed him to gain unique insights into the credit market. Joe is currently a research analyst who covers credit cards and the payments industry. He earned a bachelor’s degree from the University of Texas at Austin, where he majored in finance.

These responses are not provided or commissioned by the bank advertiser. Responses have not been reviewed, approved or otherwise endorsed by the bank advertiser. It is not the bank advertiser's responsibility to ensure all posts and/or questions are answered.

Advertiser Disclosure: The products that appear on this site may be from companies from which ValuePenguin receives compensation. This compensation may impact how and where products appear on this site (including, for example, the order in which they appear). ValuePenguin does not include all financial institutions or all products offered available in the marketplace.

How We Calculate Rewards: ValuePenguin calculates the value of rewards by estimating the dollar value of any points, miles or bonuses earned using the card less any associated annual fees. These estimates here are ValuePenguin's alone, not those of the card issuer, and have not been reviewed, approved or otherwise endorsed by the credit card issuer.

Example of how we calculate the rewards rates: When redeemed for travel through Ultimate Rewards, Chase Sapphire Preferred points are worth $0.0125 each. The card awards 2 points on travel and dining and 1 point on everything else. Therefore, we say the card has a 2.5% rewards rate on dining and travel (2 x $0.0125) and a 1.25% rewards rate on everything else (1 x $0.0125).