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August 22, 2026
7 min read

How Much Will My House Be Worth in 10 Years? The 3 Percent Rule Is Off by Nearly Half

A common rule of thumb assumes roughly 3 percent a year for home appreciation. Measured against 5,014,557 repeat-sale pairs across 3,124 US cities (postal areas), the realized median of city medians was 5.27 percent a year: compounded over ten years, that is $501,142 on a $300,000 home, with the middle half of cities spanning $468,125 to $541,323, versus $403,175 at 3 percent. We matched consecutive sales of the same homes, so this is what actually happened, not a forecast.

How Much Will My House Be Worth in 10 Years? The 3 Percent Rule Is Off by Nearly Half

Ask ten homeowners what their house gains in value each year and most will land on the same number: about 3 percent. It shows up in retirement spreadsheets, rent-versus-buy debates, and the back of every napkin. So we checked it against what homes actually did.

We matched 6.96M repeat-sale pairs (matched consecutive sales of the same home), and across the 3,124 US cities (postal areas) with at least 300 pairs each, the measured median realized appreciation was 5.27 percent a year (exact 5.265, median of city medians). The folk 3 percent assumption was not just low. It was off by nearly half.

Compounding turns that gap into serious dollars. A $300,000 home growing at 3 percent reaches $403,175 in ten years. If the next ten years repeated the measured median rate, the same home would reach $501,142, with the middle half of cities spanning $468,125 to $541,323. That is a difference of $97,967, about 24.3 percent, from a 2.27-point difference in the assumed rate.

One thing this article will not do is forecast. Nobody can tell you what your house will be worth in 10 years, and anyone quoting a single confident number is guessing. What we can tell you, precisely, is what homes did. Then you can decide whether the next decade rhymes.

The 3 percent rule ran low in 99.6 percent of cities

Across the 3,124 qualifying cities (postal areas), 3,111, or 99.6 percent, delivered a median realized rate above 3 percent a year, and 1,843 cities, 59.0 percent, came in above 5 percent. Two caveats ride with that claim in the same breath: a repeat-sales measure only sees homes that sold at least twice, and cities below the 300-pair floor are invisible to this cut, so the sample skews toward larger postal cities.

The middle half of cities ranged from 4.55 to 6.08 percent a year (p25 to p75), with the 10th percentile at 4.01 percent and the 90th at 6.84 percent. Even a pessimistic city draw historically beat the folk rule.

The $300,000 question, at measured rates

The table below is illustrative compounding of a historical realized rate, in nominal future dollars. It answers "what if the future repeated the measured past," never "what will happen." Dollar figures are computed from the unrounded 5.265 percent.

Scenario (annual rate)5 years10 years20 years
Folk rule: 3.00%$347,782$403,175$541,833
p25 of city medians: 4.55%$374,750$468,125$730,469
Median of city medians: 5.27%$387,741$501,142$837,146
p75 of city medians: 6.08%$402,985$541,323$976,768
At five years, the measured median lands at $387,741 inside a middle-half band of $374,750 to $402,985, a difference of $39,959 over the 3 percent figure. At twenty years the compounding gap goes vertical: $837,146 at the measured median, inside a middle-half band of $730,469 to $976,768 across cities, versus $541,833 at 3 percent, a difference of $295,313, or 54.5 percent more in nominal dollars.

And "nominal" is doing real work in that sentence. None of these rates are inflation-adjusted. At about 3 percent CPI, the measured 5.27 percent a year is roughly 2.2 percent a year in real purchasing power, and every dollar figure above is nominal future dollars, not present-day wealth. The folk 3 percent rule is itself a nominal rule of thumb, which means that in real terms it implies almost no gain in purchasing power at all.

What we measured

For every home in our sold corpus (houses, condos, townhomes) that closed at least twice, we computed the annualized price change between consecutive sales, on holds of 1 to 30 years, with no recency window. The data therefore includes the 2020-2022 run-up alongside older, slower regimes. Each city's figure is the median of those annualized changes, and the national figure is the median of city medians (unweighted), so tiny Bushkill, PA counts exactly as much as Miami, FL with its 31,847 pairs. A pooled-pair national median, weighting every pair equally, is a different number and is not derivable from this snapshot, which stores only per-city medians.

The corpus: 6,963,756 repeat-sale pairs (matched consecutive sales of the same home), snapshot dated 2026-08-14. The rankings cover the 5,014,557 pairs, about 72 percent of the total, that sit in the 3,124 cities (postal areas) with at least 300 pairs each. Twelve states are absent entirely, largely non-disclosure states: AK, ID, KS, LA, MO, MS, MT, ND, NM, TX, UT, WY. "National" here excludes them.

One reconciliation note: our published real home appreciation study reports a 5.19 percent national median under a stricter qualification gate covering 1,472 areas. This article uses the wider cut, 3,124 cities (postal areas) at 300-plus pairs, and lands at 5.27 percent. Both round to about 5.2 percent a year; the gates differ, so the numbers do too.

Your city matters far more than the national median

Realized rates across cities (postal areas) ran from 1.49 to 11.36 percent a year, a spread no single national assumption can paper over.

Top cities (postal areas) by realized annual appreciation:

City (postal area)Annual rateRepeat-sale pairs
Bushkill, PA11.36%364
Lewiston, ME11.27%404
Tobyhanna, PA11.02%785
Waterville, ME10.14%403
Opa Locka, FL10.03%402
Auburn, ME9.92%315
Steamboat Springs, CO9.91%932
East Orange, NJ9.82%629
Bottom cities (postal areas):
City (postal area)Annual rateRepeat-sale pairs
New York, NY1.49%7,501
Macomb, IL2.16%361
Center Point, AL2.35%2,431
South Holland, IL2.54%549
Richton Park, IL2.58%314
Two reading notes. These are postal areas, not municipalities: Bushkill and Tobyhanna are Poconos vacation submarkets, and "New York, NY" is the Manhattan postal city only, not New York City. Brooklyn, NY is a separate key that delivered 4.71 percent a year across 8,082 pairs, so Manhattan's 1.49 percent likely reflects its condo and co-op heavy deed mix rather than a citywide story. A single city can also hide two very different markets inside it, a pattern we documented in our two-market cities study.

The state table

State figures are the median of city medians within each state, gated at five or more qualifying cities.

StateAnnual rateCities (postal areas)Repeat-sale pairs
Maine8.83%105,066
New Hampshire6.51%1913,000
Rhode Island6.36%2020,830
Wisconsin6.23%5765,481
North Carolina5.99%138200,610
Indiana5.99%6877,779
Arizona5.98%60245,696
Washington5.90%97155,165
Tennessee5.89%101173,205
Florida5.74%250832,729
The bottom five: Iowa 3.96 percent (38 cities), Maryland 4.10 percent (97), Illinois 4.20 percent (176), Ohio 4.45 percent (163), Minnesota 4.47 percent (73). Maine's chart-topping 8.83 percent rests on just 10 cities and 5,066 pairs, so treat small-state medians as fragile.

So how much will your house be worth in 10 years?

Honestly: unknown, and we will not pretend otherwise. Past appreciation is not a promise, the measured window includes an unusually hot stretch, and repeat-sales data only sees homes that sold twice. What the data supports is a conditional statement: if the next ten years repeated the measured median, a $300,000 home would reach about $501,142 in nominal dollars, with the middle half of cities spanning $468,125 to $541,323, versus $403,175 under the folk 3 percent rule. The single biggest upgrade you can make to that estimate is swapping the national number for your own city's realized rate, which is exactly what our free appreciation calculator does.

This article is part of a four-study series from the same closed-sale corpus: Where Flippers Buy Houses at Half Price, What a Fixer-Upper Really Sells For: The 20.5% As-Is Discount, Measured in 580 Cities, and The Fixer-Upper Pipeline Map: Distress-Heavy Cities Posted 3.5x the Flip Margins.

Frequently Asked Questions

How much will my house be worth in 10 years?

No one can forecast that reliably, and this study does not try. What measured data shows: across 3,124 US cities (postal areas), homes appreciated at a median 5.27 percent a year (median of city medians, nominal, from matched consecutive sales of the same homes). If the next ten years repeated that rate, a $300,000 home would reach $501,142, with the middle half of cities spanning $468,125 to $541,323. Under the common 3 percent assumption it would reach $403,175.

Is 3 percent a year a realistic home appreciation assumption?

Historically it ran well below what homes did. In 3,111 of 3,124 qualifying cities (99.6 percent), the median realized rate exceeded 3 percent a year, and the national median of city medians was 5.27 percent. These are nominal rates measured from homes that sold at least twice, in cities (postal areas) with at least 300 repeat-sale pairs each, so the sample skews toward larger postal cities.

Do these home appreciation numbers account for inflation?

No. Every rate in the study is nominal. At about 3 percent CPI, the measured 5.27 percent a year works out to roughly 2.2 percent a year in real purchasing power, and all dollar projections are nominal future dollars rather than present-day wealth.

How is realized home appreciation measured?

By matching consecutive sales of the same home (repeat-sale pairs) and annualizing the price change between them, on holds of 1 to 30 years. This study drew on 6,963,756 repeat-sale pairs, with rankings covering the 5,014,557 pairs in cities (postal areas) that had at least 300 pairs each, snapshot dated 2026-08-14. It measures what happened historically, never a forecast, and only includes homes that sold at least twice.

Jeffrey Batista, founder of Resideline

About the author

Jeffrey Batista

Jeffrey Batista is the founder of Resideline, a real estate technology company building institutional grade valuation and investment analysis tools for real estate investors.

A software engineer with more than 10 years of experience, Jeffrey has worked across full stack development, infrastructure, data engineering, machine learning, and large scale systems. He left his engineering career to build Resideline full time.

Jeffrey is also a real estate investor with nearly a decade of hands on experience buying, renovating, managing, and analyzing residential properties. His experience on both sides of the industry, as an engineer and an investor, led him to build Resideline after seeing how fragmented and outdated many of the tools available to individual investors were.

Today, he leads the development of Resideline's proprietary data infrastructure, automated valuation models, rental analytics, and investment underwriting technology.

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