PlainZIP Guide

What Your ZIP Code Says About You

How income, education, age, and housing patterns tell a story about community opportunity, and what the starkest contrasts in Census data reveal.

PlainZIP Editorial Published June 24, 2026

Key Takeaway

The US has 33,000+ ZIP Code Tabulation Areas with median household incomes ranging from under $15,000 to over $250,000. Education rates, housing costs, and poverty levels cluster together in patterns that shape access to jobs, schools, and services. Census data makes these patterns legible, and understanding them is the first step to using location data intelligently.

Where is the widest income gap in America?

The ZIP code with the highest median household income in the US sits roughly 25 miles from one of the lowest. This isn't unusual, extreme income polarization at the ZIP code level exists in virtually every major metro area. In the New York metro, affluent suburbs in Westchester County have median household incomes 6-8 times higher than distressed urban ZIP codes in the Bronx. In the San Francisco Bay Area, wealthy ZIP codes in Atherton and Menlo Park exceed $300,000 median income while portions of East Oakland register under $35,000.

This geographic concentration of wealth is a relatively recent and accelerating phenomenon. Research by economist Raj Chetty and colleagues at Opportunity Insights has documented how income sorting by neighborhood has increased substantially since the 1970s, driven by rising housing costs in opportunity-rich areas pricing out lower-income families.

Explore this data for yourself on PlainZIP's rankings pages or by searching any ZIP code to compare against state and national benchmarks.

Eight ZIP Codes: Stark Contrasts in the Data

The table below shows eight ZIP codes representing very different community profiles. These numbers are from Census ACS 5-year estimates (2019-2023). Education = % adults with bachelor's degree or higher.

ZIP	Location	Med. Income	Education	Med. Rent	Ownership	Poverty
10036 Midtown Manhattan, NY High income, low ownership, transient, expensive professional hub	Midtown Manhattan, NY High income, low ownership, transient, expensive professional hub	$107,000	72%	$3,100	14%	9%
90210 Beverly Hills, CA Wealthy enclave, mix of owners and wealthy renters	Beverly Hills, CA Wealthy enclave, mix of owners and wealthy renters	$159,000	68%	$2,800	48%	7%
60637 Woodlawn, Chicago, IL High poverty, low ownership, urban core disinvestment	Woodlawn, Chicago, IL High poverty, low ownership, urban core disinvestment	$28,000	22%	$930	23%	38%
84321 Logan, UT College town, low income due to students, high education rate	Logan, UT College town, low income due to students, high education rate	$42,000	41%	$850	55%	22%
77494 Katy, TX Suburban affluence, high ownership, family-oriented, low poverty	Katy, TX Suburban affluence, high ownership, family-oriented, low poverty	$112,000	55%	$1,900	79%	4%
99501 Anchorage, AK High baseline income from energy/military, moderate education	Anchorage, AK High baseline income from energy/military, moderate education	$74,000	32%	$1,200	59%	9%
35216 Homewood, AL High-opportunity suburban suburb, affordable relative to income	Homewood, AL High-opportunity suburban suburb, affordable relative to income	$89,000	64%	$1,100	67%	4%
33101 Miami, FL Urban core, high cost, low income, renter-dominated	Miami, FL Urban core, high cost, low income, renter-dominated	$31,000	19%	$1,400	18%	28%

Source: Census ACS 5-Year Estimates 2019-2023 Census ACS 5-Year Estimates 2019-2023 Figures are approximate and represent statistical estimates with margins of error

Compiled by the " research team.

The Education-Income Correlation

Across ZIP codes, educational attainment (% of adults with a bachelor's degree or higher) is one of the strongest predictors of median household income. The correlation is strong enough that you can make a reasonable income estimate from education data alone, though there are important exceptions.

Notable exceptions worth understanding:

College towns: Huge student populations depress median income even in highly educated ZIPs (students earn little). Logan, UT (Utah State) and Ames, IA (Iowa State) show this pattern, 35-45% bachelor's degree rates with unusually low median incomes.
High-skill trades: Some ZIP codes in oil-producing regions, ports, or specialized manufacturing have high incomes with lower formal education rates. Parts of North Dakota's oil patch and Louisiana's industrial corridor show this pattern.
Immigrant communities: First-generation immigrants often have lower formal US credentials but high earnings from small business ownership, creating ZIP codes with low bachelor's rates but moderate incomes.

Age Patterns: Who Lives Where

Age distribution within ZIP codes follows predictable patterns:

Young-adult urban cores (25-35 median age): Dense, transit-rich downtown neighborhoods, college towns. High education, moderate to high income, low homeownership, high rental density.
Family suburbs (35-45 median age): ZIP codes with high homeownership and good schools attract families. Child population proportionally high.
Retirement communities (55+ median age): Florida, Arizona, and sunbelt communities show dramatically older profiles. High homeownership and median income (Social Security + savings) but low earned income.
Rural areas (mixed): Rural ZIP codes often have bimodal distributions, the young leave for opportunities, leaving behind children and older adults.

Check the scorecard pages on PlainZIP to see age breakdown for any ZIP alongside its income and education profile.

Housing Type as a Signal

The ratio of owners to renters, and the type of housing stock, carries a great deal of information about a ZIP code's character:

High ownership (70%+): Typically suburban single-family neighborhoods. Associated with stability, longer tenure, higher school quality investment, and civic engagement.
High rental (>60%): Urban density or lower-income areas. Can mean dynamism and opportunity (young professionals) or instability and disinvestment (low-income housing with high turnover).
High vacancy rate (>15%): May indicate economic decline, seasonal housing (vacation towns), or military community fluctuation. High vacancy depresses property values and can signal community stress.

Commute Patterns Tell a Mobility Story

How residents get to work reveals a great deal about a ZIP code's relationship to the broader economy:

High transit share (20%+): Dense urban core with transit access. Associated with walkability, restaurant and retail density, and lower car costs.
High car-alone share (85%+): Car-dependent suburban or rural area. Higher transportation costs ($10,000+/year per vehicle), lower walkability, more spread out services.
Long mean commute (35+ minutes): Exurban or suburban ZIP where residents trade commute time for lower housing costs. Associated with lower housing costs relative to the metro, but higher time and transportation costs.
High work-from-home share (20%+): Post-pandemic patterns, often professional knowledge workers. High income, lower dependence on proximity to employer.

Using This Data on PlainZIP

All of these metrics, income, education, age, housing type, commute patterns, are available for every US ZIP code on PlainZIP. Here's how to put them to work:

Search your ZIP code to see all metrics alongside state and national percentile rankings.
Use the scorecard view to get a visual snapshot of how your ZIP compares on income, education, housing costs, and demographics.
Browse rankings pages to find the wealthiest, most-educated, most-affordable, or most-populous ZIP codes in any state.
Compare multiple ZIPs by opening their pages side-by-side to evaluate trade-offs when considering a move.

Frequently Asked Questions

Can a single ZIP code really define what opportunities you have?

Research consistently shows that where you grow up has a significant effect on lifetime outcomes, income mobility, educational attainment, health, and life expectancy. A landmark Harvard study found that each additional year spent growing up in a high-opportunity ZIP code raises a child's adult income by about 0.5%. The effect is causal, not just correlational. ZIP codes matter because they determine which schools you attend, which social networks you're exposed to, and what services and amenities are nearby.

What Census metrics best predict long-term opportunity?

Several metrics correlate strongly with long-term outcomes: educational attainment of adults (% with bachelor's degree+), commute mode (transit access and walkability), median household income, homeownership rate, and poverty rate. No single number tells the full story, a high-income ZIP with low educational attainment may be extractive (high-paid blue-collar work) rather than high-opportunity in the long-run mobility sense.

Do high-income ZIP codes always have better schools?

Not always, but there's a strong correlation. Public school funding in the US is heavily tied to local property taxes, which means wealthier ZIP codes often have better-funded public schools. However, there are notable exceptions: some lower-income ZIP codes have excellent charter schools, and some wealthy areas have private school dominance that doesn't improve public school quality. Cross-referencing ZIP code income data with school quality databases (like NCES) gives a more complete picture.

Why do two ZIP codes with the same median income feel so different?

Income distribution matters as much as the median. A ZIP code with a $70,000 median might have most households clustered between $60,000-$80,000 (relatively equal), or it might have many households at $30,000-$40,000 alongside a small number making $300,000+ (highly unequal). Housing costs relative to income also vary enormously - $70,000 is comfortable in rural Ohio and inadequate in urban California. Use income alongside median rent and homeownership data for meaningful comparisons.

Can Census data predict neighborhood change?

Census data is a lagging indicator, the 5-year ACS estimates represent conditions averaged over 2019-2023, not today. Areas that were gentrifying rapidly may look very different today. For forward-looking signals, watch for: rapidly rising median home values alongside a declining or stable median income (owners selling to wealthier buyers), increasing educational attainment among renters, and a declining poverty rate alongside an increasing homeownership rate.

Is it fair to judge a place by its ZIP code demographics?

Census data describes community-level statistics, not individuals. A ZIP code with a high poverty rate contains many people who are not in poverty, and many who are working to improve their circumstances. Using aggregate data to make assumptions about individual residents is a logical error. That said, ZIP-level data is legitimately useful for understanding access to resources, making location decisions, understanding systemic patterns, and advocating for community investment.

Sources

U.S. Census Bureau, American Community Survey 5-Year Estimates (2019-2023)
Census Bureau, ZIP Code Tabulation Areas (ZCTAs) definition and methodology
Chetty, R. et al., "The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility" (NBER 2018)
Chetty, R. et al., "Where is the Land of Opportunity? The Geography of Intergenerational Mobility in the United States" (QJE 2014)

This content is for informational purposes only. Census data represents statistical estimates, not exact counts. All ZIP code figures have margins of error and represent 5-year averages. Verify important decisions with current, authoritative sources.