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 metricsTime on market versus rent groups represented Hoorn rental advertisements into asking-price bands and calculates their average visible duration. It can reveal whether premium supply remains as liquid as lower-priced listings or tends to require more time in the market. The comparison does not prove that price causes the difference: property size, type, location, furnishing, quality and renter audience can vary between bands. Advertisement removal also does not confirm a completed letting or its final agreed rent.
Compare average time on market across rent bands to see where listings clear quickly and where they slow down. A widening gap can signal weaker absorption at the upper end, while a flatter pattern suggests demand remains more even across price levels.
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.
TOM vs rent shows whether higher asking rents in Hoorn tend to stay on the market longer or still move quickly. It helps separate a broadly liquid market from one where demand weakens as price rises, which matters for pricing, positioning, and timing decisions.
See whether represented Hoorn rentals remain visible for different periods across price bands. The pattern signals relative liquidity while housing mix and removal reasons remain relevant.
A flatter rent-speed pattern suggests Hoorn remains liquid across a wider range of asking rents.
A stronger slowdown at higher rents can indicate more selective demand in the premium segment.
Segment comparisons help separate broad market strength from price-band-specific weakness.
Average speed can be shaped by property mix, so changes should be read alongside rent tiers.
The relationship is useful for pricing strategy, especially when testing higher asking rents.
Compare whether higher asking rents in Hoorn still clear at similar speeds to mid-range homes.
Use the rent-speed split to judge if demand is broad-based or concentrated in lower price bands.
Read changes in average time on market as a signal of pricing power at different rent levels.
Treat composition effects carefully, since larger or better-finished homes may cluster at higher rents.
Use the relationship to assess whether premium listings need sharper pricing or stronger presentation.
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 TOM Vs Rent 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.
Inspect each rent band and its housing mix, then compare Hoorn's overall time-on-market series or the national breakdown.
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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