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 metricsPrice per square metre versus area divides represented Haarlem rentals into floor-size bands and calculates their average normalized asking value. The pattern shows whether compact homes command a stronger rate per unit of space or larger dwellings remain expensive after size adjustment. Each band may contain different housing types, locations, furnishing and quality, so relative spacing between segments is more useful than treating the curve as a precise valuation formula or affordability score.
Compare how average price per square meter shifts across size segments in Haarlem. A steeper drop for larger homes suggests stronger value gains as size increases, while a flatter pattern points to persistent scarcity across the market. Avoid reading one segment in isolation, since composition and property type can shape the average.
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 Haarlem carry a stronger per-meter premium than larger homes, or whether the market keeps larger homes expensive even after normalizing for size. It helps renters and analysts compare value across home sizes without relying on total rent alone. The pattern is useful for judging how much extra space costs.
See how represented Haarlem rent per square metre changes with dwelling size. The curve frames relative rental value, while housing type, furnishing, location and quality can shape each observed band.
Smaller homes often carry a higher per-meter cost, but the strength of that premium can vary across Haarlem.
A gentler decline in price per square meter suggests larger homes do not gain much efficiency.
A sharper drop can indicate that extra space becomes relatively cheaper as size increases.
Composition effects matter because apartments and family homes can pull the averages in different directions.
Use the pattern to compare relative value, not to infer the total monthly rent of any single home.
Compare how compact homes and larger homes differ in per-meter pricing.
Show whether Haarlem rewards extra space with lower unit costs.
Use the size curve to judge scarcity pressure across housing segments.
Separate total rent from normalized value when comparing homes.
Read the pattern alongside property type mix and segment composition.
This page documents one indicator. The Haarlem 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 Haarlem 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.
Inspect adjacent size segments and composition, then visit the national area analysis or Haarlem's total-rent-versus-size page.
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 Haarlem and filter them by price, size and property type.
Search Haarlem 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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