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 metricsListings by bedroom count separates represented Haarlem rental advertisements according to their stated layouts. Comparing the counts reveals whether an apparently active market provides broad household choice or remains concentrated in studios and one-bedroom homes. The segments do not measure renter demand, affordability, condition or individual suitability, and their depth can change with season, new supply, incomplete listing data, landlord choices and the timing of advertisements entering or leaving.
Read the distribution across bedroom counts to see which home sizes are most common in Haarlem. A heavier share of smaller units points to a market geared toward singles and couples, while a broader spread suggests more flexibility for different household needs. Avoid treating one snapshot as a full picture of long-term supply.
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 mix shows whether Haarlem’s rental supply leans toward studios and one-bedroom homes or leaves room for larger households. It helps renters judge fit, because a market can look active overall while still offering limited choice for couples, sharers, or families needing more space.
Compare represented Haarlem rental counts from compact to multi-bedroom homes. The breakdown shows household-fit options that a headline total can conceal, within the stated scope.
A market dominated by smaller units usually serves singles and couples more than larger households.
A wider spread across bedroom counts suggests more flexibility for different renter profiles.
Limited two-bedroom and larger stock can matter even when overall rental activity looks healthy.
Bedroom mix is useful for comparing whether supply matches family or sharer demand.
Composition changes can reveal more about market structure than a single listing total.
Compare whether Haarlem leans toward compact homes or a broader household mix.
Use bedroom composition to judge fit for singles, couples, sharers, and families.
Read the balance between small-unit depth and larger-home scarcity.
Treat the mix as a structural signal, not a live availability forecast.
Consider how bedroom distribution affects search strategy and flexibility.
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 Listings 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.
Inspect the category counts and timing, then open the national bedroom listing metric or Haarlem's percentage layout balance.
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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