Bogotá retail property snapshot — January 2026

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Buyer
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I’m assembling a January 2026 snapshot for Bogotá retail units. The current discussion inputs are an indicative 60 days on market, asking-price movement of -2.5%, and visible financing sensitivity around COP 5,125,000,000.

This is not an official index, so the decision is whether these figures are solid enough to retain in the summary. Please add completed-sale evidence, inventory changes or neighbourhood differences, preferably with a source link, revision date or a clearly labelled on-the-ground observation. We also need to identify any price-band or property-type mix affecting the figures.
 
If the -2.5% is defined incorrectly, the summary could suggest weakening prices when only the inventory mix changed. A fall in the median of active listings is not the same as reductions on the same units or discounts agreed during January. Keep the figure only after identifying which measure it represents, the revision date, and whether different retail formats or price bands entered or left the sample. Completed-sale evidence would then show whether the direction carries through to actual transactions.
 
The 60-day figure needs similar clarification. Does the sample include only units still advertised, or also listings removed during the month? Withdrawn and relisted properties could distort the result. It would also help to know the sample size and whether all retail formats and price bands were pooled.
 
I agree about the missing definitions, but I would not discard the snapshot entirely. It can remain a directional observation if every number is labelled indicative. My bigger concern is “financing sensitivity”: does that mean fewer enquiries, longer negotiations, failed financing, or simply seller resistance around COP 5,125,000,000? That phrase currently implies more evidence than has been shown.
 
A practical format would be one row per contribution: neighbourhood, retail subtype, asking-price band, listing date, status at the January cut-off, completed-sale price if available, source or observation label, and revision date. That would expose whether the headline movement comes from actual repricing or from a different mix of units entering the sample.
 
For now, I’d publish the three figures only in a provisional box and keep completed sales separate from listing evidence. Add a comparison date for the -2.5%, define how the 60 days was calculated, and replace the financing statement with the specific behaviour observed once evidence arrives. Neighbourhood splits should wait until each area has enough comparable entries to avoid a misleading contrast.
 
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