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The Portland Appraisal Blog Affordability Index (PABAI) is an appraiser-developed metric designed to measure realistic housing qualification across single-family residential segments in the Portland Region’s six-county market (Columbia, Clackamas, Hood River, Multnomah, Washington, and Yamhill counties in Oregon).
Built entirely from local closed-sale data and actual carrying costs, the PABAI provides lenders, realtors, homeowners, estate planners, and attorneys with a transparent view of affordability grounded in daily valuation and underwriting practice.
Purpose and Distinction
National affordability indices serve a useful broad purpose but frequently rely on principal-and-interest-only calculations, national assumptions, and simplified cost inputs. The PABAI takes a different approach by incorporating full monthly housing expenses specific to the Portland Region—revealing local qualification realities that generic metrics often overlook.
The index is expressed on a scale where a value of 100 indicates that typical household qualification exactly aligns with the average sale price in the segment under the modeled assumptions. Values above 100 suggest greater affordability, while values below 100 highlight constraints.

Interpreting PABAI Values
The following bands offer practical context for segment-level readings:
| PABAI Range | Interpretation | Practical Implications |
|---|---|---|
| 120+ | Strongly Affordable | Typical qualifying power provides a meaningful buffer against the Portland Region’s elevated utility, maintenance, hazard insurance, and (where applicable) HOA costs. |
| 100–119 | Moderately Affordable | Accessible market—household income aligns with or exceeds full PITI costs, including property taxes, homeowners insurance, and HOA dues where applicable. |
| 80–99 | Strained | Qualification constraints emerge; buyers often need larger down payments, dual high incomes, rate concessions, or removable mortgage insurance to bridge the gap. |
| Below 80 | Severely Constrained | Significant affordability barrier—median household falls short of qualifying for typical sale prices under standard underwriting, particularly when mortgage insurance is required for low-down-payment scenarios. |
Methodology
The PABAI derives from Regional Multiple Listing Service (RMLS) closed sales of single-family residential properties—detached homes, attached homes, condominiums, and manufactured homes on owned land—within the Portland Region.
Extensive quarterly cleanup corrects widespread misclassifications in raw data, especially condominiums incorrectly listed as attached or detached properties. This step ensures accurate segment separation critical to valuation and lending differences.
Core elements include:
- Income basis derived from U.S. Department of Housing and Urban Development (HUD) area median income tables and U.S. Census Bureau American Community Survey (ACS) data, with cohort-specific adjustments where applied.
- Full Principal, Interest, Taxes, and Insurance (PITI) calculation; Homeowners Association dues added for attached, condominium, and detached segments where applicable (PITIH); Mortgage Insurance incorporated for low-down-payment scenarios (PITIHM).
- Interest rates matched to each sale’s close date via Freddie Mac Primary Mortgage Market Survey data.
- Actual property taxes reported for each sold property and regional averages for homeowners insurance.
- Default qualification at 28% front-end debt-to-income ratio and 20% down payment.
Formula
The Maximum Qualifying Price (MQP) is the highest home price a typical household can afford under the modeled assumptions, calculated from applicable income, debt-to-income ratio, interest rate, and full monthly housing expenses (PITI(H)(M)).
The PABAI begins with an individual affordability ratio for each sold property:
The segment or regional index value is the arithmetic mean of these individual ratios across all sales in the period, scaled by multiplying by 100:
where n is the number of qualifying sales.
A value of 100 indicates exact alignment between typical qualification and the mean sale price under the assumptions. Values above 100 reflect excess qualifying power; values below 100 indicate a shortfall.
The headline PABAI for each housing segment is the average of individual transaction-level calculations across all sales in the dataset. This approach ensures every data point participates equally in the final figure, providing a more comprehensive and accurate view of affordability than methods relying on a single median or average price.
Model Flexibility and Scenario Analysis
All assumptions remain modular, allowing granular simulations such as:
- Alternative down-payment levels (e.g., 3.5% FHA, 0% VA, 5–10% conventional).
- Varied debt-to-income ratios or mortgage insurance rates.
- Specific buyer cohorts (e.g., households headed by individuals aged 25–44).
- Elevated carrying costs from hazard insurance or special assessments.
- Geographic breakdowns at the county or city level.
This flexibility supports targeted analyses of financing program effects, buyer pool depth, and external obsolescence driven by persistent monthly expenses.
Current Readings
PABAI values are updated quarterly. Detailed regional and segment readings appear in the latest reports listed below.
Calculated at the individual transaction level and averaged across all sales in each segment for equal weighting. This provides greater accuracy than median-price methods.
Detached Single-Family Homes
| Metric | Q3 2025 Value | Explanation |
|---|---|---|
| Average PABAI | 78.91 | Average across individual transactions; <100 = reduced affordability for median HUD household ($124,100) |
| Average Close Price | $692,778 | Simple average of all detached sales |
| Average Monthly PITIH | $4,294 | Principal, interest (close-date rate), taxes, insurance (HOA negligible) |
| Required Household Income | ~$184,000 | At 28% qualifying ratio for average home |
| Income Shortfall | 48.3% | Additional income median household needs |
| Housing Burden for Median Household | ~41.5% | % of gross monthly income required |
Note:
- The Portland–Vancouver region remains highly unaffordable for detached homes. An average PABAI of 78.91 indicates the median HUD-income household ($124,100) falls substantially short of qualifying for the average detached sale, requiring roughly 48% more income or devoting over 41% of gross monthly income to housing — well above sustainable levels.
Condominiums
| Metric | Q3 2025 Value | Explanation |
|---|---|---|
| Average PABAI | 117 | Average across individual transactions; >100 = surplus capacity on average |
| Average Close Price | $374,080 | Simple average of all condo sales |
| Average Monthly PITIH | $2,938 | Principal, interest (close-date rate), taxes, insurance, HOA |
| Average HOA Dues | ~$529 | Range $0–$2,321; significant driver of variability |
| Required Household Income | ~$126,000 | At 28% qualifying ratio for average condo |
| Housing Burden for Median Household | ~28.4% | Slightly above threshold due to HOA variability |
Note:
- The average monthly PITIH for condominiums can be misleading without understanding the bimodal dynamics driven by HOA dues. While high-dues units increase the average payment, condominiums remain, on average, substantially less expensive than detached homes ($374,080 vs $692,778 close price) and therefore represent a more attainable entry point for median-income households in the region.
PABAI Publications and Reports
Quarterly analyses and annual PDF reports will be added as published.
Latest PABAI Posts
Data Sources
The PABAI draws exclusively from primary sources, including Regional Multiple Listing Service (RMLS) closed-sale records, U.S. Department of Housing and Urban Development area median income tables, Freddie Mac rate data, and U.S. Census Bureau inputs.
The index is provided for informational purposes only. Individual qualification and valuation decisions should involve qualified professionals.
Contact
Need a custom PABAI analysis or tailored affordability report for your Portland-Vancouver portfolio? Contact for institutional-grade intelligence built from cleaned RMLS data.