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 versus area groups represented Hoorn rental advertisements into floor-size bands and calculates the average monthly asking price within each. The shape shows whether larger homes carry a gradual premium or whether size thresholds bring sharper increases, complementing the price-per-square-metre curve. It is not a controlled valuation model: property type, layout, energy performance, furnishing, quality and location can differ between bands, and averages are sensitive to unusually expensive homes.
Compare how asking rent changes across home-size segments in Hoorn and look for places where the curve steepens or flattens. A steeper rise suggests larger homes become much more expensive for each added step in space, while a gentler slope points to more even pricing across sizes. Avoid reading too much into a single segment without considering the broader size mix.
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.
Rent vs area shows whether larger homes in Hoorn command a smooth premium or a sharper jump in asking rent. It helps renters judge if extra space is priced proportionally, while also showing where smaller homes may carry a strong cost per square meter. Read it as a size-to-price relationship, not a measure of overall affordability.
Follow how average represented Hoorn rent changes across size groups. The curve highlights price steps for extra space, while type, finish, quality and outliers can shape each band.
Smaller homes can look expensive when rent does not fall as quickly as size does, raising the implied cost per square meter.
A flatter rent-to-area pattern suggests extra space is priced more gradually, which can improve value for movers seeking more room.
A steep jump between size bands can signal that larger homes are scarce or carry a strong premium in the local market.
The relationship is useful for comparing whether moving up in size adds usable value or mainly increases headline rent.
Composition matters: a market with many compact homes can look different from one with a broader spread of larger units.
Explain where Hoorn’s rent curve becomes steeper as homes get larger.
Compare small-unit pricing with larger-unit pricing to judge space value.
Show how size mix can distort the average rent-to-area relationship.
Use the pattern to assess whether upgrading for more space feels efficient.
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 Vs Area 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.
Examine the full size-price curve, then compare rent per square metre, median home size or the same area bands 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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