What Generation Spends Like You? Inside the Data Science Behind The Spending Age Quiz

If you’ve ever wondered why your 30-something friend spends like a retiree, or why a Gen Z coworker somehow has a monthly housing budget that rivals a Boomer’s—you’re not alone. At B2B Pulse, we live and breathe data-driven decision-making. So when we saw Business Insider’s “Spending Age” quiz, we had to pull back the curtain. The quiz doesn’t just ask you your age; it compares your actual monthly spending to the averages of five generations, then tells you which generation you spend like.

But how does it work? Is it just a fun gimmick, or is there real consumer behavior science behind it? Let’s break down the methodology—because every good growth marketer knows that understanding consumer spending patterns is a secret weapon for segmentation, targeting, and product messaging.

The Core Premise: Age Is Just a Number, Spending Is Data

The quiz, built using an AI tool from Vercel (a platform that frontend devs and revenue teams should have on their radar), starts with a simple premise: your spending habits may have nothing to do with your birth year. It uses actual data from the 2024 Bureau of Labor Statistics (BLS) Consumer Expenditure Survey.

The BLS survey is the gold standard for understanding how American households allocate their money. It tracks annual spending across dozens of categories, broken down by age group. The quiz takes this raw government data and maps it to five generational cohorts:

Generation	Birth Year Range
Gen Z	1997 and later
Millennials	1981 – 1996
Gen X	1965 – 1980
Boomers	1946 – 1964
Silent Generation	1945 and earlier

Why five? Because these cohorts represent distinct economic eras, spending behaviors, and life stages. The Silent Generation grew up during the Great Depression and post-war austerity. Boomers built wealth in a booming economy. Gen X is the latchkey generation. Millennials were shaped by the 2008 recession and student debt. Gen Z is digital-native and rent-burdened. Each cohort has a unique fingerprint in the BLS data.

The Data Pipeline: From BLS to Buzzworthy Quiz

Here’s where the methodology gets interesting—and where any SaaS product team should lean in. The quiz engineers took the BLS annual averages and created a normalized comparison framework. They didn’t just copy-paste government tables. They had to:

Map eight consumer spending categories that users can easily recall (e.g., groceries, rent, streaming) to the official BLS categories.
Convert annual figures to monthly figures for user input.
Build a distance algorithm that compares a user’s self-reported monthly spending across all eight categories to each generation’s average.

The result? The tool calculates a “spending distance score” between you and each generation. Whichever generation has the smallest gap wins.

The Eight Spending Categories: What You Track Matters

The quiz asks users for monthly household spending in these eight buckets. Each directly ties to a specific BLS category:

1. Groceries → “Food at Home”

BLS includes: All food purchased for home consumption.
Why it matters: Grocery spending is a massive indicator of life stage. Gen X spends the most annually ($7,331)—likely because they’re feeding multiple kids. The Silent Generation spends the least ($4,196), often cooking smaller meals or eating less.

2. Dining Out → “Food Away from Home”

BLS includes: Restaurants, takeout, delivery.
The delta is real: Millennials and Gen X both blow past $4,500 annually on dining out; the Silent Generation spends less than half that ($2,116). If you eat out like a 50-year-old but are 25, the algorithm notices.

3. Housing → “Shelter”

BLS includes: Rent, mortgage payments, property taxes, home insurance, maintenance.
The biggest differentiator. Gen X leads here ($19,048 annually), followed closely by Millennials ($18,467). Gen Z trails at $13,844—reflecting lower homeownership rates and smaller rental spaces. This category alone can heavily tilt your score.

4. Utilities → “Utilities, Fuels, and Public Services”

BLS includes: Electric, gas, water, phone, internet, trash.
Surprise leader: Gen X again ($5,641). Boomers ($4,714) and the Silent Gen ($4,040) spend less, likely because they’re downsizing. Gen Z lives lean ($2,697)—maybe because they’re in smaller apartments or share bills.

5. Apparel → “Apparel and Services”

BLS includes: Clothing, shoes, accessories, dry cleaning.
Who spends the most? Gen X ($2,535) and Millennials ($2,491) are neck-and-neck. Gen Z trails at $1,660. The Silent Generation? Just $767. If you’re dropping serious cash on sneakers, you’re probably not Silent Gen.

6. Transportation

BLS includes: Car payments, gasoline, insurance, maintenance, public transit, rideshare.
Another heavy category. Gen X leads again (surprise, they’re the SUV-driving, commute-to-suburbs cohort). Gen Z likely skews lower, using more ride-sharing and fewer car payments.

7. Entertainment (Excluding Pets)

BLS includes: Streaming services, concerts, sporting events, hobbies, recreational fees.
This is where generational divides are clearest. Millennials and Gen Z spend heavily on subscriptions, live events, and experiences. Boomers may spend on golf or travel. The Silent Gen barely registers.

8. Pets

BLS includes: Food, veterinary care, supplies.
Yes, it’s a separate category. Pet spending is a growing share of household budgets. Gen X and Millennials spend the most—they’re the “fur baby” generation. The Silent Gen may have fewer or no pets.

The Benchmark Data: What Each Generation Actually Spends (Annually)

Here are the exact BLS numbers from the 2024 survey, as used in the quiz (in USD):

Category	Gen Z	Millennials	Gen X	Boomers	Silent
Groceries	$4,454	$6,759	$7,331	$5,696	$4,196
Dining Out	$3,162	$4,586	$4,793	$3,251	$2,116
Housing	$13,844	$18,467	$19,048	$13,585	$12,625
Utilities	$2,697	$4,679	$5,641	$4,714	$4,040
Apparel	$1,660	$2,491	$2,535	$1,461	$767
Transportation	(Not fully shown in source)

Key insight for B2B readers: Notice how Gen X consistently outspends everyone across most categories. They’re in peak earning and spending years. If your product targets households with higher disposable income, Gen X should be a core segment—even if your content often focuses on Millennials.

How the Algorithm Actually Works

The quiz isn’t a simple “average all categories.” It uses a multidimensional distance calculation. Think of it like a radar chart with eight axes. Your personal spending creates a profile (e.g., low housing, high dining out). The algorithm then compares that profile to each generation’s profile. It calculates the Euclidean distance (or a similar metric) between your data point and the generation’s centroid across all eight dimensions. The generation with the smallest total distance wins.

Why this matters for product teams: This is a textbook example of “multivariate segmentation.” The traditional approach—just looking at age or income—would miss a 50-year-old who lives like a college student. This quiz finds behavioral clusters. In B2B, this is analogous to account-based marketing (ABM) or persona clustering. You’re not selling to “small business owners”; you’re selling to “fast-growth CFOs who spend like an enterprise but operate like a startup.”

Why Generations Spend Differently: The Real Story

The quiz is fun, but the data tells a strategic story. Here’s the “why” behind the numbers:

Gen X (1965-1980): The peak-spending generation. They have kids in college, mortgages near the end, high car and travel costs. They’re also the “permissionless” consumers—they buy what they want without guilt.
Millennials (1981-1996): Housing- and experience-heavy. They spend on rent (high), dining out, entertainment, and pets. Debt loads are high, but so is spending on quality of life.
Gen Z (1997+): Cautious but digital-native. They spend heavily on streaming and food delivery, but housing is lower because they’re more likely to live with roommates or family. They also have lower car ownership.
Boomers (1946-1964): Nearing or in retirement. Grocery spending remains solid, but apparel, transportation, and dining out decline. Utilities stay high because of larger existing homes.
Silent Generation (1945 and earlier): Minimalist. They spend less on almost everything. Their housing costs are lowest (often paid off), and they don’t chase trends. If your quiz says you’re Silent Gen, you’re either frugal or very settled.

Practical Takeaways for Revenue Teams

If you run a SaaS product that targets consumer-facing businesses, this quiz’s methodology is a goldmine for go-to-market strategy:

Don’t rely on age alone. Yes, Millennials are a huge market, but Gen X outspends them on housing and groceries. If your product is for home services, target Gen X households more aggressively.
Use spending clusters to personalize messaging. If a user scores as “Gen X spender” but is 28, they may be a homeowner early. Offer them products for home maintenance, not “first apartment” kits.
Model your own quiz. The Vercel AI approach is low-code and fast. You could build a “What’s Your Product Fit Score?” quiz for prospects using similar BLS or internal data. It’s a high-engagement lead gen tool.
Watch for shifting patterns. The BLS data updates annually. Gen Z’s housing numbers will likely rise as they age into homeownership. Millennials may start looking more like Gen X as their mortgage payments grow.
Entertainment and pets are sticky categories. If your product integrates with streaming, pet care, or event booking, the Gen Z and Millennial overlap is your sweet spot.

The Final Verdict: Data-Backed, Human-Readable

The “What’s Your Spending Age?” quiz is a masterclass in turning dry government data into a viral, shareable experience. It respects the numbers but makes them accessible. For B2B leaders, the underlying methodology is a reminder that behavioral segmentation beats demographic laziness every time.

So, take the quiz. If you score as a “Gen X spender” but are a Millennial, ask yourself: What does that say about my business decisions, my budget priorities, or the products I buy for my team? The data doesn’t lie—but it might surprise you.

And if you want to steal the methodology for your own lead generation? Go ahead. The BLS data is public. The AI tooling is cheap. The differentiation is priceless.

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See also:

Methodology: How our generational spending quiz works