Jakarta student housing: is 21 days meaningful without completed-sale data?

L

lila.dale

Homeowner
I’m tracking Jakarta student-housing listings around IDR 11,650,000,000, using a wider range of IDR 9,324,000,000–IDR 13,990,000,000. The current sample suggests roughly 21 days to find a buyer, but completed prices are much harder to locate than asking data.

The slower outliers appear to have weaker energy performance, although that may be masking condition or location differences. Is 21 days a useful signal, or are withdrawn and still-active listings distorting the picture?
 
I wouldn’t treat 21 days as time to sale unless you know those listings actually completed. A removed advert could mean sold, withdrawn, relisted, or simply expired. Compare the original asking price, any reduction date, and the final removal date. A burst of new listings could also make the current sample look slower without buyer demand having changed.
 
Without exact map boundaries, the energy comparison may be describing location rather than building performance. Student accommodation a short distance apart can serve different campuses or transport links, so placing it in one Jakarta sample may create misleading outliers.

I would divide the listings by catchment area and then separate renovated stock from properties that still need work. If the slower cases remain concentrated among inefficient buildings within the same area and condition group, energy performance becomes a more plausible explanation. If the pattern disappears, investigate seller expectations, price changes and withdrawn adverts instead. How narrowly are the current neighbourhood groups defined?
 
Also, I’m not convinced energy performance is necessarily the main buyer filter here. At these prices, seller motivation and buyer financing could explain more of the timing. A well-presented property may sit because the seller refuses to negotiate, while a weaker one disappears quickly after a price cut. Do you have the asking-price history for the 21-day cases?
 
A practical approach would be to keep three groups: confirmed completed sales, listings withdrawn without a known outcome, and stock still online. Then compare days advertised only within each group, split by neighbourhood and condition. Even a small completed-sales group would be more informative than treating every disappearance as a buyer found. Until then, describe 21 days as listing-removal time rather than sale time.
 
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