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 versus area groups represented Hoorn rentals into floor-size bands and calculates the average size-adjusted asking price within each. The curve shows whether compact homes command a stronger per-metre premium and whether larger units offer relatively cheaper space. It should be read as a segment pattern, not a causal estimate: property type, location, finish, quality and uneven listing counts can differ between bands, while an isolated jump may be less meaningful than the overall slope.
Compare the average price per square meter across size bands to see where compact homes are most expensive relative to area and where larger homes begin to offer better value. Focus on the direction of change between segments rather than any single point, since the main signal is how pricing efficiency shifts with size.
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.
PPM2 vs Area shows whether smaller homes in Hoorn carry a stronger price premium than larger homes, and how quickly that premium fades as floor area increases. It helps renters and analysts judge whether extra space comes with better per-meter value or remains costly even at larger sizes. The pattern is useful for comparing size segments, not for reading total rent alone.
Compare represented Hoorn size bands to see how per-metre asking prices change as floor area grows. Segment composition and uneven listing samples can influence individual points on the curve.
Smaller homes often carry the strongest per-meter premium, so total rent can understate how expensive compact space really is.
If the per-meter gap narrows with size, larger homes may offer better relative value even when total rent is higher.
A flat pattern suggests size has less influence on pricing efficiency, which can matter in balanced or mixed-supply markets.
Sharp differences between segments can point to scarcity in certain size bands rather than a simple rent level effect.
Hoorn should be read as a local size-value pattern, not as a direct proxy for broader North Holland pricing.
Show how compact homes can command a stronger per-meter premium than larger homes.
Compare whether Hoorn rewards extra floor area with lower price intensity.
Use the size slope to separate total rent from true space efficiency.
Discuss how scarcity in certain size bands can distort per-meter comparisons.
Frame Hoorn against the broader question of when larger homes become better value.
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 Rent per m² by Size 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.
Read the full size-band slope, then inspect median home size, overall rent per square metre or the same comparison nationally.
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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