The FHFA House Price Index tracks changes in U.S. single-family home values using repeat transactions, with several datasets for different analytical needs.
The FHFA House Price Index (HPI) is a family of U.S. indexes that measures average changes in single-family home values by comparing repeat transactions on the same properties. The Federal Housing Finance Agency produces the indexes primarily from mortgages purchased or securitized by Fannie Mae and Freddie Mac.
The name does not identify one universal series. FHFA publishes purchase-only, all-transactions, expanded-data, distress-free, annual, and developmental indexes for different periods and geographies. When a news release refers simply to the FHFA HPI, it usually means the seasonally adjusted purchase-only index, FHFA’s flagship measure.
The index estimates the average rate at which values changed for eligible single-family properties in a defined geography and period. It is a constant-quality measure in a statistical sense: matching a home with its own earlier transaction reduces the effect of one month’s sales containing larger, newer, or more expensive homes than another month’s sales.
This differs from a median-price series. A median can rise because the market sold a larger share of expensive homes, even if no individual home appreciated. A repeat-sales index is designed to isolate price movement more effectively, although it cannot perfectly observe renovations, deterioration, or other changes to a property between transactions.
The index can be reported for the United States, Census divisions, states, metropolitan areas, and smaller geographies, depending on the chosen dataset. Availability varies because a reliable repeat-sales estimate requires enough matched transactions.
FHFA uses a modified geometric weighted Repeat-Sales Methodology. In practical terms, the process is:
The flagship index uses the mortgage origination date as the relevant transaction date, not the later date when an Enterprise acquires or securitizes the loan.
A sales pair separated by many years may be less comparable than a pair separated by a shorter period. The longer interval creates more opportunity for remodeling, deferred maintenance, additions, or unobserved changes. Weighted repeat-sales methods account statistically for the fact that some pairs provide noisier evidence than others.
Weighting reduces noise; it does not prove that a house remained unchanged. A major renovation can still make part of the measured gain property-specific rather than market-wide.
The index variant determines which observations enter the sample. Before quoting an FHFA figure, identify the variant, frequency, geography, seasonal treatment, and data vintage.
| FHFA index | Main observations | Typical analytical use |
|---|---|---|
| Purchase-Only HPI | Eligible sales prices tied to conventional, conforming mortgages purchased or securitized by Fannie Mae or Freddie Mac | Standard national, regional, state, and major-metro price-trend analysis |
| All-Transactions HPI | Purchase-only observations plus appraisal values from Enterprise refinance mortgages | Longer or more geographically detailed analysis where added valuation observations help sample size |
| Expanded-Data HPI | Enterprise purchase data plus FHA-backed purchases and licensed county-recorder sales below the annual loan-limit ceiling | Broader view of the conforming single-family purchase market; FHFA also uses this series when adjusting conforming loan limits |
| Distress-Free HPI | A purchase-only variant that removes short sales and sales of bank-owned properties | Studying price movement without those distressed-sale observations |
| Annual HPI | All-transactions data grouped annually | Smaller areas such as counties, ZIP codes, and census tracts where quarterly samples may be insufficient |
| Manufactured Housing HPI | Eligible Enterprise mortgages on real-property manufactured homes; personal-property loans are excluded | Developmental analysis of manufactured-home price change |
The variants often show similar long-run direction, but short-run growth rates can differ. That is expected when samples, observations, frequencies, or seasonal adjustments differ.
The standard purchase-only sample is broad, but it has clear boundaries. It is based on mortgages that are:
The flagship sample therefore does not directly represent cash purchases, jumbo loans, FHA- or VA-backed mortgages, or loans that never enter the Enterprises’ data. FHFA also restricts condominiums, cooperatives, multi-unit properties, and planned unit developments from that flagship sample and applies filters for incomplete, implausible, or potentially erroneous records.
These boundaries do not make the index unusable. They define the population to which the estimate most directly applies. The expanded-data index exists partly to broaden purchase coverage, but even that series should not be described as a complete record of every U.S. home sale.
An HPI level is a relative number tied to a base period. It is not a price in dollars. Normalization varies by dataset: for example, FHFA normalizes purchase-only indexes to 100 in the first quarter of 1991, while state and division all-transactions series use a different base.
The base affects the displayed level but not the percentage change between two observations. Calculate the change as:
1Percentage change = (Later index / Earlier index - 1) x 100
If an index rises from 280 to 294:
1(294 / 280 - 1) x 100 = 5.0%
The selected market index increased 5% over the stated period. It does not mean every home appreciated 5%, the median home price rose 5%, or a future period will produce the same result.
Suppose a mortgage analyst starts with a historical property value of $350,000. If the relevant local HPI moves from 280 to 294, a simple index-based update would be:
1Estimated updated value = $350,000 x (294 / 280) = $367,500
This is a portfolio estimate, not an appraisal. The actual property may have changed differently because of its neighborhood, condition, renovations, property type, or transaction circumstances. A lender or appraiser must use the evidence and valuation process required for the specific decision.
An HPI growth rate is incomplete unless the period and adjustment basis are stated.
| Label | What it compares | Main caution |
|---|---|---|
| Month-over-month | One month with the immediately preceding month | Can be volatile and sensitive to recurring seasonal patterns |
| Quarter-over-quarter | One quarter with the preceding quarter | Smoother than monthly data but still a short-run measure |
| Year-over-year | A month or quarter with the same period one year earlier | Easier seasonal comparison, but slower to show turning points |
| Cumulative change | Two selected index levels, often across several years | Depends on the exact start and end dates |
FHFA publishes many indexes in both seasonally adjusted (SA) and not seasonally adjusted (NSA) form. Seasonal adjustment estimates and removes recurring calendar patterns so adjacent periods are more comparable. It can also be revised as new data change the estimated seasonal pattern.
Do not divide an SA value by an NSA value. Use observations from the same series, and label the result clearly.
Published FHFA HPI values are nominal, meaning they are not adjusted for inflation. If the HPI rises 4% while the relevant general price measure rises 3%, the implied inflation-adjusted change is much smaller than 4%. The exact real-growth calculation depends on the selected inflation measure and matching dates.
FHFA receives recent origination data after the loans move through Enterprise funding and data processing. The agency states that this creates roughly a two-month delay for new observations.
Historical values can change for three related reasons:
Revisions are generally most relevant near the end of the series, but adding a repeat transaction can affect measured appreciation since the property’s previous observation. For reproducible analysis, retain the release date or data vintage rather than assuming today’s historical file exactly matches what was available at an earlier decision date.
The FHFA HPI and Case-Shiller Home Price Index both use repeat transactions, but they are not substitutes in every analysis.
| Feature | FHFA HPI | Case-Shiller |
|---|---|---|
| Primary data source | Mortgage records associated mainly with Fannie Mae and Freddie Mac; some variants add other sources | Public deed, recorder, and assessor sale records |
| Common headline series | Seasonally adjusted purchase-only HPI | U.S. National, 10-City Composite, and 20-City Composite indexes |
| Financing boundary | Flagship series centers on conventional, conforming Enterprise mortgages | Eligible transactions are not limited to Enterprise-financed purchases in the same way |
| Additional variants | Includes all-transactions, expanded-data, distress-free, annual, and developmental series | Includes national, composite, metro, and price-tier series |
| Geography | National through state and metro levels, with annual or developmental products for some smaller areas | National and selected major-metro products |
| Aggregate weighting | Larger areas are built from component geography growth rates using one-unit detached housing-stock shares | National and composite indexes use housing-market value weights |
| Revision source | New Enterprise deliveries, seasoned loans, and newly identified repeats | Later-arriving public transaction records and model updates |
Differences between the two indexes do not necessarily indicate an error. A divergence may reflect sample composition, geography, weighting, index variant, seasonal treatment, or revision timing. A careful comparison uses the same period and clearly labels both series.
Housing values affect mortgage collateral, household balance sheets, credit losses, prepayments, and financial-system exposure. Analysts may use an FHFA series to support:
The HPI is usually more informative when paired with mortgage rates, household income, inventory, sales volume, rents, delinquency, construction, and local labor-market data. Price appreciation alone does not establish affordability, liquidity, credit quality, or investment value.
The FHFA HPI is not:
$300,000 home price.Before using an FHFA HPI figure, verify:
This article is educational and does not provide an appraisal, lending decision, investment recommendation, or individualized financial advice.