How to Narrow a Portland Home Search by MLS Area and Home Form

The October 6 supplied sample shows why a location filter and a property-form filter should work together. MLS area code 148 has 370 condo records among 420 active records, or 88.1%. Code 143 has 229 detached records among 408, or 56.1%. These are very different housing mixes within the selected file.

The original search filters, complete matching-result count and cutoff are unknown. The study preserves the export's area codes without assigning unverified city or neighborhood boundaries. Its counts describe received records, not complete inventory in either area.

Look beneath the blended asking-price figure

Code 148's sample contains 370 condos, 38 detached homes, 11 attached homes and one floating home. Code 143 contains 229 detached homes, 107 condos, 40 attached homes, 28 IN-PARK records and four RES-MFG records. A buyer seeking a detached home is therefore examining a different subset from a buyer considering every property form.

The blended median asking price is $320,000 for code 148 and $389,900 for code 143. That does not establish the price difference between comparable homes in the two areas. The groups have different compositions, and the export lacks the size, condition and exact-location information needed to make a matched comparison.

The counts include all ACT classifications, including auctions. Area price medians exclude nonnumeric prices: code 148 has 418 numeric observations, while code 143 has 408. The supporting table keeps these denominators separate.

Define the actual geography you want

A code can organize an MLS result set, but it does not identify the precise location of a candidate. Before relying on a code, confirm its current MLS definition and map boundary with your agent. Then check the actual listing location against the geographic boundary you chose.

Keep your location criteria concrete. Use the places you need to reach, your preferred search boundary and the property characteristics that matter to you. Do not translate a broad code or a sample median into a claim about an entire city, a particular neighborhood or the suitability of an address.

Run the search in a useful order

First name the property forms you would accept. Then identify the verified geographic boundary and price ceiling. Run separate current searches within those choices so you can see which results actually meet the combination. A large mixed result set can hide how few records match your chosen form.

For example, the 420 total records assigned to code 148 in this file do not mean there are 420 detached-home options. The detached count is 38. Conversely, the 408 total in code 143 includes 107 condos as well as the larger detached group. These are sample counts that illustrate the filter problem, not current availability promises.

Compare candidates, not area rankings

Once current candidates are identified, compare their actual asking prices, ownership terms, condition and address-specific costs. The property-type median study explains another reason broad price headlines can be misleading. The budget-band study shows how the selected file's mix differs above $400,000.

The area report does not rank neighborhoods, establish which area is cheapest, or infer demand from the number of exported records. A larger count may reflect the source selection, housing composition or export limits. Those possibilities remain unresolved without the original search settings.

Bring the boundary and home form to your search conversation

Use the site's area guides for existing local context, then ask Own It Northwest to confirm the MLS geography and assemble a current property shortlist. Keep the exact home form and geographic boundary attached to every count you use.

Source and supporting research

Own It Northwest analysis of the MLS export supplied October 6, 2026. Read the supporting report, aggregate CSV, and methodology and source register. Raw records remain private.