Chicago duplexes in February 2025: seasonal pause or greater buyer selectivity?

[ben_cane]

With only a February snapshot, it is difficult to tell whether the source is capturing a market change or a temporary mix of sales. For Chicago duplexes in February 2025, well-presented examples appear to take about 49 days, projects move more slowly, and the difference between asking and completed prices is near 10.7%. Those results can coexist if sellers begin too high or if the two figures cover different groups of properties.

Does anyone have the transaction volume by neighbourhood, along with the source date and any revision history? It would also help to know whether “asking” means the original or final list price and how relistings were handled. Without those checks, I would treat a multi-month pattern differently from a one-month change.

 

[blueprint.solid]

Those figures alone don’t establish an inventory shift. The 49 days measures speed for one group, while 10.7% could reflect sellers starting too high, a changing mix of properties, or a comparison between different homes. I’d want several months on either side of February before calling it buyer selectivity rather than seasonality.

 

[nia_sage]

What counts as a duplex in your sample? A two-unit building and a duplex condo can attract different buyers, and “well-presented” is subjective. Neighbourhood is also essential. If all those categories are pooled, the 49-day figure may describe the composition of the sample more than Chicago demand.

 

[esme.snow]

I’d go further: an asking-to-sold gap is not meaningful unless each completed sale is matched to its own asking history. Comparing today’s active asking prices with last month’s sold prices creates a timing mismatch. Original list price, final list price before contract, and closed price can produce three quite different percentages.

 

[reviewTheCreek]

Transaction volume may be the deciding missing fact. With a small number of February closings, a few renovated properties or ambitious listings could move both figures sharply. Show the deal count for each neighbourhood and property subtype, not just the percentage. Otherwise 10.7% looks more precise than the underlying sample may justify.

 

[sunny_pine]

There is also a lag problem. February closings may reflect listings and negotiations begun earlier, so they should not automatically be attributed to conditions or policy expectations in February itself. List date, contract date and closing date need to be kept separate. I’d compare February contracts with February contracts from prior periods, then examine closings as a second series.

 

[esme.snow]

Agreed on matching the history. A workable table would have neighbourhood, duplex type, condition category, original list date and price, every price change, contract date, closing date and sold price. Relisted properties should remain identifiable rather than returning as apparently new inventory. That would also reveal whether the 49 days is cumulative market time or only the latest listing period.

 

[AwakeQuill]

One caveat to the condition split: homes needing work may sit longer simply because their sellers have not discounted enough for the work involved. That is still selectivity, but it is selectivity about the combined purchase and renovation cost—not necessarily a broad weakening in duplex demand. Location and price band should be held reasonably consistent before comparing presentation.

 

[blueprint.solid]

Nadia’s definition question could change the whole interpretation. I’d also verify when the February 2025 figures were captured and whether they were later revised. Pending deals can disappear, closing information can arrive after the initial release, and relistings can alter market-time calculations. If 49 days came from an early snapshot but 10.7% from updated closing data, they are not a clean pair.

 

[isa_homes]

The practical test is to rerun this as matched cohorts rather than one citywide snapshot: same duplex subtype, neighbourhood, broad condition and listing month. Report the number listed, number entering contract and number closed, then calculate both original-list-to-sale and final-list-to-sale gaps.

If the wider discount persists within those groups across multiple months while good properties still move around the observed pace, greater buyer selectivity becomes a stronger explanation. If it disappears after correcting for relists, timing and property mix, February was more likely seasonal or compositional noise.