Rental market metrics
Median and average asking rent, price per square meter, time on market, supply volume and the rest of the indicator library.
Browse metricsRent per square metre divides advertised monthly rent by floor area and takes the median across represented Hoorn listings. This size-adjusted series supports fairer comparison over time when the typical homes offered are not equally large, and it can reveal a premium for scarce or compact space that headline rent obscures. It is not a pure like-for-like price index: changes in unit type, neighbourhood, furnishing, quality and the size distribution can still move the median, as can missing floor-area data.
Compare the median price per square meter over time to see whether space in Hoorn is becoming more or less expensive relative to earlier periods. The measure helps separate pure rent growth from changes in typical unit size, but it should not be read in isolation from the mix of homes being offered.
Figures come from the rental listings Luntero represents for the selected period. Sample sizes differ per location and month, so read short movements together with the underlying listing counts rather than as exact market wide changes.
Price per square meter shows how much rent is paid for each unit of living space, which makes Hoorn easier to compare with markets that differ in average home size. A higher figure can reflect scarce space, a stronger premium for compact homes, or a stock mix that leans toward smaller units. It is useful for judging value, not just headline rent.
See how represented Hoorn rent per square metre develops over time. Normalizing for size improves comparison, although property mix, finish, quality and location still affect the median.
Useful for comparing Hoorn with markets where average home size differs, because it normalizes rent by floor area.
A rising figure can mean space is getting pricier, even if headline monthly rents move more slowly.
Smaller homes can push the metric up, so changes in stock mix matter as much as rent levels.
Helps separate affordability of space from the affordability of a whole unit.
Best read alongside rent trends and unit-size patterns rather than as a standalone affordability score.
Compare Hoorn’s space pricing with other North Holland cities and nearby markets.
Explain whether higher rents come from expensive space or from larger average unit sizes.
Track how composition shifts in the available stock affect the median price per m².
Use the metric to judge value efficiency, not just absolute monthly rent.
Read time trends as a signal of changing pressure on smaller versus larger homes.
This page documents one indicator. The Hoorn overview brings the median advertised rent, cost per square metre, three trend windows, listing supply and the bedroom, property-type and furnishing mix together in a single reading.
Stay in Hoorn and switch the question. The same represented listing sample powers every metric and report below, so you can move from asking rent to price per square meter, supply, space and neighbourhood detail without losing the local context.
Compare Price per m² by Location across supported Dutch locations using the represented listing sample. Differences reflect the covered sources, period and methodology and should not be treated as complete local-market or demand measurements.
Compare the size-adjusted trend with median home size, monthly rent and price-per-metre patterns across housing segments.
Median and average asking rent, price per square meter, time on market, supply volume and the rest of the indicator library.
Browse metricsMulti measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.
Browse reportsSee the apartments, rooms and houses currently advertised in Hoorn and filter them by price, size and property type.
Search Hoorn rentalsHave an idea for a new housing market chart, dataset, or analysis? Submit your request and help shape the next generation of Luntero’s rental market insights. Whether it’s a new metric, city comparison, or visualization, your input helps us expand coverage of Dutch housing trends and create data tools that serve renters, investors, and researchers across the Netherlands.
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