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What do existing home sales tell you about the housing market?

Existing home sales measure the number of homes sold (not newly built, but previously owned) in the U.S. during a given month. Released monthly by the National Association of Realtors (NAR), this data covers roughly 85 percent of the housing market by volume—far more than new construction. For homeowners, existing home sales are directly relevant: the data show whether it's a buyer's or seller's market, what median prices are, and how many months of inventory are available. For economists, existing home sales are a crucial gauge of household wealth, consumer confidence, and the real estate wealth effect—the tendency for consumers to spend more when home prices rise.

Existing home sales are different from housing starts. Starts measure supply being added; existing sales measure demand and turnover of current homes. These often move in opposite directions. When mortgage rates rise, existing sales fall (fewer buyers can afford homes at higher rates), but housing starts also fall (fewer builders want to build). However, during transitions—like 2022, when rates rose sharply—existing sales often fall faster than starts because existing homes are older, smaller, and often less energy-efficient; higher rates make existing homes less affordable relative to new, efficient homes.

Quick definition: Existing home sales measure the number of previously-owned residential properties sold during a month, released monthly by the National Association of Realtors, and reflect household wealth, consumer confidence, and real estate market turnover.

Key takeaways​

  • Existing home sales account for roughly 85 percent of residential real estate transactions by volume; new home sales are the other 15 percent.
  • Existing sales are more sensitive to mortgage rates than housing starts because most existing homes are older and less efficient; higher rates depress demand sharply.
  • The NAR reports median price (the midpoint sale price, sensitive to mix shifts) and average price (mean sale price, more stable).
  • Home inventory (how many homes are listed) is reported with sales data; low inventory combined with rising prices suggests supply is tight; high inventory with falling prices suggests oversupply.
  • The months-of-supply metric (inventory divided by the rate of sales) tells you how long it would take to sell all homes at the current rate; 5–6 months is balanced; below 3 months favors sellers; above 8 months favors buyers.

How existing home sales are measured and reported​

The National Association of Realtors conducts the Pending Home Sales Survey (prior to closing) and publishes the Existing Home Sales data monthly, typically near the end of the month covering the prior month. The data count closed transactions (the buyer took possession) of single-family detached homes, townhomes, condominiums, and co-ops. The report includes:

Total sales (annualized rate). The monthly count is annualized to represent what the annual total would be if the monthly rate held for 12 months (similar to housing starts reporting).

Breakdown by property type. Single-family homes (about 84 percent), condos (about 12 percent), co-ops (about 2 percent), and townhomes (tracked separately in some regions).

Median price and average price. Median is reported more often because it's less sensitive to luxury outliers; average can jump if a few multimillion-dollar homes sell. Mix-adjusted price changes are more reliable than raw medians because they account for changes in the types of homes being sold.

Home inventory. The number of homes listed for sale at the end of the month, expressed in both absolute terms and as "months of supply" (months of supply = inventory ÷ [sales rate / 12]).

Time-on-market. How long the average home listed for sale before closing; typically 20–60 days depending on market conditions.

Why existing home sales differ from new home sales​

Existing homes and new homes are different markets. Existing home sales are driven by household relocations, life changes (marriage, divorce, job moves, retirement, kids starting school), and turnover. New home sales are driven by builder confidence and the affordability of newly-built homes relative to existing homes.

Existing home prices are determined by supply and demand in that local market; new home prices are determined by construction costs plus builder margin. During high-inflation periods (like 2021–2022 when lumber prices surged), new homes become expensive relative to existing homes (because builders pass through cost inflation). This drives buyers toward existing homes, pushing existing home prices up and existing sales up, while new home sales might fall.

Conversely, when existing homes are in oversupply (like 2008–2009, post-crisis), existing home prices collapse relative to new homes. New homes have better efficiency, fewer surprises, and builder warranties. Buyers prefer new over existing, depressing existing sales. By 2009, existing home sales had fallen to 4.5 million annualized (from 7.3 million in 2006).

The 2010s saw a gradual recovery in existing sales as foreclosures were cleared, inventory normalized, and prices recovered. By 2021, existing home inventory had fallen to historic lows (homes were scarce), and existing sales surged to 6.1 million annualized. Then, in 2022, as mortgage rates rose from 3 percent to 7 percent, existing sales fell 25 percent, while new home sales held up better because new homes included builders' rate-buy-down incentives.

Median price volatility and the composition problem​

Existing home median prices are reported monthly and attract enormous media attention—headlines scream "Home prices soar!" or "Home prices collapse!" But median prices are tricky to interpret because they're sensitive to the composition of homes being sold, not just price changes.

Consider this scenario: In January, median home price is $300,000 (mostly modest homes in suburban markets). In February, a real estate boom in wealthy enclaves means that high-end homes are selling at record rates, shifting the mix of sales toward expensive homes. Now the median is $320,000. Did homes get 7 percent more expensive, or did the sales mix just shift to pricier homes?

The NAR publishes a "Mix-Adjusted Home Price Index" to account for this, but mainstream media usually ignores it and focuses on the raw median. Smart analysis requires looking at:

  • Raw median prices (what the headline number says).
  • Mix-adjusted price changes (more reliable for trend analysis).
  • Regional breakouts (prices in the West vs. Midwest can diverge sharply).
  • Price-per-square-foot (controls for home size; more stable than raw prices).

In 2022, headline existing home median prices fell from $370,000 to $350,000 (a 5 percent drop), but this masked sharp regional variation: Western and Southern markets saw 15–20 percent price declines, while Midwest and Northeast saw 2–5 percent declines. Price-per-square-foot fell even more sharply because homes that sold in late 2022 were slightly smaller (builders had started paring size to improve affordability as rates rose).

Inventory dynamics and market balance​

The most important signal from existing home sales data is inventory. When homes listed for sale are scarce (inventory-to-sales ratio below 3 months), buyers compete for homes and prices rise. When inventory is abundant (ratio above 8 months), sellers cut prices and buyer demand strengthens.

From 2012 to 2021, U.S. inventory fell sharply. Homeowners who bought in 2008–2012 at low prices, then saw values recover, chose to stay (not sell) rather than trade up. Properties that would normally have come to market (rentals, vacation homes, second homes) were held as investments. The result: inventory fell to 3 months of supply or less, favoring sellers. Existing home prices rose sharply (7–10 percent annually from 2015 to 2021) even though mortgage rates were rising slightly.

Then, starting in late 2021, as the Federal Reserve began signaling rate hikes, homeowners accelerated sales. In early 2022, inventory was still tight, but existing sales rose as people rushed to close before rates went higher. By mid-2022, as rates surged and existing home demand collapsed 25 percent, inventory began to rise. By early 2023, inventory had climbed to 5 months of supply (more balanced), and price declines accelerated.

This inventory story is often missed by headlines focused on prices alone. The real story is: tight inventory drove prices up 2017–2021; rising rates collapsed demand and inventory surged 2022–2023; and as supply normalized, prices stabilized or fell.

The real estate wealth effect and consumer spending​

When home prices rise, homeowners feel wealthier (even if they haven't sold). This "wealth effect" causes them to spend more. Estimates suggest that a $1 rise in home values generates $0.03–$0.05 in additional annual consumer spending. This is a massive channel: in 2020–2021, home prices rose $2 trillion in the aggregate, generating roughly $60–100 billion in additional annual spending—enough to boost GDP growth 0.3–0.5 percentage points.

Conversely, when home prices fall (like 2022), the wealth effect works in reverse. Homeowners feel poorer and cut spending. In 2022–2023, home prices fell $500 billion in the aggregate, subtracting perhaps $15–25 billion from annual spending—a small but real drag on growth.

This wealth effect is why the Fed cares about housing prices and existing home sales. The Fed doesn't directly control house prices (the market does), but by raising or lowering interest rates, the Fed influences mortgage demand and, through that, home prices. A Fed rate hike that cools home prices also cools consumer spending through the wealth effect. This is part of the transmission mechanism by which the Fed controls inflation.

For investors, this means: when the Fed is hiking rates and existing home sales are falling sharply, consumer spending is likely to cool in subsequent months. This is a leading indicator of slower GDP growth.

Turnover and household mobility​

Existing home sales data reveal something about American mobility and economic flexibility. High turnover (frequent sales) suggests people are moving for jobs, starting families, or upgrading/downgrading. Low turnover suggests people are stuck in place—either by preference (bought a home they love and plan to stay) or by constraint (underwater on the mortgage and can't sell).

During the 2008 crisis, turnover collapsed. Millions of homeowners were underwater (owed more than the home was worth) and couldn't sell without taking a loss. Turnover only recovered by 2011–2012 as prices recovered. From 2015 to 2021, turnover was healthy (people were mobile), suggesting a flexible labor market. Then, in 2022, as existing home sales fell 25 percent, turnover slowed sharply—partly due to rate hikes (affordability constraint) but also partly due to people locking in low mortgage rates (the "lock-in effect").

By mid-2023, many homeowners with 2.5–3.5 percent mortgages had no incentive to sell and buy at 6–7 percent rates, reducing turnover. This lock-in effect can persist for years and limits labor market flexibility; people can't easily move for a new job if selling their home means giving up a locked-in low mortgage rate.

Reading the existing home sales report​

The NAR releases existing home sales data around the 20th of each month. Key metrics to watch:

  • Total sales (annualized). 5.0–6.5 million is normal; below 4.5 million suggests weak demand; above 7.0 million suggests strong demand.
  • Month-over-month change (percent). ±5 percent is normal; anything beyond ±10 percent suggests a trend shift.
  • Median price (year-over-year change). Positive growth is normal; declines for three consecutive months suggest a price correction underway.
  • Inventory (months of supply). 3–5 months is balanced; below 2.5 suggests very tight supply; above 7 suggests oversupply.
  • Time-on-market. Rising time-on-market (homes taking longer to sell) suggests weakening demand; falling time suggests strengthening demand.

For context, pair existing home sales with new home sales (released separately by the Census Bureau). If new home sales are strong but existing sales are weak, it suggests new homes are outcompeting existing homes on affordability or efficiency. If both are falling, housing demand is cooling broadly.

In 2006–2007, existing home sales peaked at 7.3 million annualized as the housing bubble approached peak insanity. Prices were soaring, inventory was tight, and buyers feared missing out. Then, in 2008, subprime mortgage defaults began to cascade. Existing home sales fell to 4.5 million by 2009 (a 38 percent decline). Prices fell 35 percent from peak. Inventory surged to 12 months as foreclosed homes flooded the market. This collapse in existing sales was a harbinger of the Great Recession.

Fast-forward to 2020–2021. COVID lockdowns pushed people toward remote work. Demand for homes surged; inventory collapsed. Existing home sales rose to 6.1 million annualized in 2021 (the highest in 15 years). Median prices rose 20 percent in one year. This boom in existing sales and prices was a key driver of the post-COVID recovery—the wealth effect from rising home prices boosted consumer spending and GDP growth.

Then, in 2022, as the Fed raised rates from 0 to 4.25 percent in less than a year, existing home demand collapsed. Sales fell from 6.1 million to 4.1 million (a 32 percent decline by end of 2022). Median prices fell 15 percent from peak. Inventory rose sharply. This collapse was forecasted to trigger a recession in 2023, but the recession call was wrong because the labor market remained strong and other factors offset the housing weakness.

Common mistakes when reading existing home sales​

Focusing on median price changes without accounting for mix shifts. A 5 percent rise in median price might be entirely due to a shift in the composition of homes being sold (more expensive homes selling) rather than homes actually becoming 5 percent more expensive. Always check mix-adjusted price changes or price-per-square-foot.

Ignoring inventory and only looking at sales. Strong sales combined with falling inventory is very different from strong sales combined with rising inventory. The former signals tight supply and future price pressures; the latter signals demand strength but potential oversupply risk ahead.

Comparing month-to-month without seasonal adjustment. Existing home sales are seasonal (more sales in spring and summer, fewer in winter). The NAR reports seasonally-adjusted numbers, but raw data swings are much larger. Always use the reported seasonally-adjusted figures.

Assuming existing home sales predict future house prices. Existing home sales are a lagging indicator of price; they don't predict future prices. Rising existing home sales and rising prices confirm a boom is underway, but falling existing home sales often follow price declines by one to three months, not precede them.

Forgetting about the lock-in effect. When mortgage rates have been rising sharply, homeowners with old, low-rate mortgages have no incentive to sell. Existing home sales can stay weak even as demand for housing (renters looking to buy) is strong—because existing homeowners are locked in.

FAQ​

Why does the NAR report existing home sales instead of a government agency?​

Existing home sales are transactions in a private market mediated by real estate agents. There's no central clearinghouse like there is for new construction (tracked by the Census Bureau). The NAR surveys its members and aggregates data, so it's the only source available. The NAR's data are generally reliable but can have revisions as lagging sales close.

How do all-cash home purchases affect existing home sales data?​

All-cash purchases are included in the total existing home sales count, but they don't require a mortgage. Cash buyers are often investors, not owner-occupants. A surge in investor buying (high cash-to-total ratio) can inflate existing home sales while reducing owner-occupancy. During 2021–2022, investor purchases surged to 30 percent of the market (historically 15–20 percent), so existing home sales growth was partly driven by investor demand, not end-user demand.

Can existing home sales go negative?​

No, existing home sales can't be negative; the count is always positive. However, the month-over-month change can be negative (fewer homes sold this month than last month). The year-over-year change can also be negative (fewer homes sold this month compared to the same month last year).

How does the lock-in effect from low mortgage rates affect the labor market?​

When the Fed raises rates sharply, homeowners with low-rate mortgages (e.g., 2.5 percent) won't sell, even if they want to move for a better job. Accepting a job in a new city means selling at today's prices and buying at 7 percent rates—a much larger monthly payment. This immobilizes labor supply and makes it harder for companies to fill jobs by internal transfers or hiring people to relocate. It's a drag on economic flexibility.

How do rising property taxes affect existing home sales?​

Rising property taxes don't directly affect the ability to sell a home, but they do reduce the value of home ownership and can dampen incentive to trade up. However, property taxes are paid by the current owner, so they don't affect the transaction price. What does affect transactions is the perception that a home is overpriced—and rising property taxes can push owners to sell before taxes go even higher.

Summary​

Existing home sales measure the number of previously-owned homes sold during a month, reported by the National Association of Realtors as an annualized rate. Existing home transactions account for roughly 85 percent of residential real estate volume; new home sales are the other 15 percent. Existing sales are sensitive to mortgage rates, household wealth, and consumer confidence. Key metrics include total annualized sales (5–6.5 million is normal), median price (prone to composition shifts; mix-adjusted prices are more reliable), and inventory expressed as "months of supply" (3–5 months is balanced; below 2.5 favors sellers; above 7 favors buyers). The "lock-in effect" of low mortgage rates can suppress existing home sales even when housing demand is strong—homeowners won't sell if it means giving up a 2.5 percent mortgage for a 7 percent mortgage. Existing home sales are a lagging indicator of housing prices and a key driver of the wealth effect on consumer spending (rising home prices boost confidence and spending; falling prices reduce both).

Next​

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