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 by bedroom count calculates the median asking price separately for each represented Haarlem layout category. The comparison shows how the monthly step between homes aimed at singles, sharers or larger households differs across distinct supply pools. Those gaps are not explained by bedrooms alone: total floor area, building type, furnishing, condition, location and segment depth can all shape the medians, which describe advertised rather than agreed rents.
Compare the median asking rent across bedroom segments to see how pricing steps up from one layout to the next. Larger gaps can signal tighter supply or stronger demand for a specific format, while smaller gaps may suggest a more balanced segment. Avoid reading a single segment in isolation, since composition and property type can affect the median.
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.
Bedroom count often changes asking rent more sharply than a broad market average, because each layout attracts a different household type and competes in a different supply pool. In Haarlem, that makes bedroom-based pricing useful for judging whether a flat is positioned for singles, sharers, or families, and for spotting where the rent jump between layouts is most pronounced.
See how Haarlem's represented rent midpoint changes between bedroom categories. The segments frame household trade-offs while floor area, building type and location remain relevant.
Bedroom counts can behave like separate submarkets, each with its own pricing pressure and renter pool.
A larger rent jump between bedroom bands can point to stronger competition for specific layouts.
Smaller differences may indicate a more even spread of demand across unit types.
Use the pattern to compare realistic tradeoffs between compact homes and larger households.
Composition effects matter: the mix of apartments and houses can shape the median in each segment.
Compare how rent steps up from studios and one-bedroom homes to larger layouts in Haarlem.
Use bedroom segments to judge whether family-sized homes are priced differently from smaller units.
Look for signs that one bedroom band is tighter or more competitive than the others.
Frame affordability around household size rather than the citywide average alone.
Interpret the median as a segment signal, not a complete measure of total market pressure.
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 by Bedrooms 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.
Review the segment medians and housing mix, then open the national rent-by-bedrooms metric or Haarlem's bedroom listing counts.
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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