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 metricsType share shows how the available rental stock is divided across property formats, rather than only how much supply exists overall. Ground any comparison from Type Share in Heerlen in the same property category, coverage, and housing mix used by its source. In Heerlen, it helps reveal whether the market is tilting toward apartments, shared homes, or larger houses, and whether that mix is becoming more or less balanced over time.
Read the mix as a composition view of supply in Heerlen, not as a simple count of listings. Changes in share matter when one format grows faster than others, because that can reshape what renters encounter and how landlords position homes. Small shifts can still signal a meaningful change in market structure.
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.
Type share shows how the available rental stock is divided across property formats, rather than only how much supply exists overall. In Heerlen, it helps reveal whether the market is tilting toward apartments, shared homes, or larger houses, and whether that mix is becoming more or less balanced over time.
This Type Share — Heerlen view helps separate the headline number from the definitions and coverage that produced it. Use observation count to frame Type Share in Heerlen, then inspect sample and method before comparing results.
A rising apartment share usually points to a more compact rental mix, even when total supply does not change much.
A stronger presence of larger homes can indicate a broader family-oriented stock, but it may also reflect slower turnover.
Shared housing share helps show whether the market is absorbing more room-based or multi-tenant formats.
Composition shifts can matter as much as volume changes when comparing different periods or nearby markets.
Heerlen’s type mix is best read as a structural signal, not as a short-term snapshot of demand.
Use the mix to explain how Heerlen’s rental stock is evolving over time.
Compare apartments, houses, and shared homes as competing formats within the same market.
Look for whether one segment is gaining share because others are shrinking.
Treat composition changes as a clue to market character, not just market size.
This page documents one indicator. The Heerlen 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 Heerlen 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 Type Share 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.
Type Share in Heerlen is most informative when period, method, and comparison are read together. Compare Heerlen with other Dutch markets for type share only after aligning the indicator definition, reporting period, unit, aggregation, and listing coverage.
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 Heerlen and filter them by price, size and property type.
Search Heerlen 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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