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 Kerkrade’s rental supply is split across property formats and how that mix changes over time. Ground any comparison from Type Share in Kerkrade in the same property category, sample, and publication date used by its source. It helps separate a broadening market from one that is becoming more apartment-led, more shared-housing oriented, or less exposed to larger homes. Read it as a structural signal, not a snapshot of volume.
Compare the relative share of apartments, houses, and other formats to see which property types are gaining or losing weight in Kerkrade. Small shifts can matter because they change the character of available supply, but the mix should be read alongside market scope and timing rather than as a direct measure of demand.
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 Kerkrade’s rental supply is split across property formats and how that mix changes over time. It helps separate a broadening market from one that is becoming more apartment-led, more shared-housing oriented, or less exposed to larger homes. Read it as a structural signal, not a snapshot of volume.
Use Type Share — Kerkrade to answer a defined local market question rather than treating one indicator as a complete verdict. Use observation count to frame Type Share in Kerkrade, then inspect housing mix and period before comparing results.
A rising apartment share can signal a more compact rental mix, even when total supply is not changing in the same way.
A larger share of houses points to a market with more family-sized options and a different tenant profile.
Shifts toward shared housing can change affordability patterns and the kind of renter competition seen in Kerkrade.
Composition changes are useful for tracking market character, not just short-term listing activity.
The mix should be read over time, because one period can be shaped by temporary supply additions or removals.
Track whether Kerkrade is becoming more apartment-heavy or more balanced across formats.
Use share changes to explain structural shifts in rental supply, not just listing volume.
Compare the weight of larger homes versus smaller units to understand renter choice.
Read the mix as a signal of market character and housing availability over time.
This page documents one indicator. The Kerkrade 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 Kerkrade 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 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 Kerkrade is most informative when period, geography, and coverage are read together. Move from type share in Kerkrade to the broader location comparison, and keep every value attached to its definition, period, aggregation, method, and available sample.
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 Kerkrade and filter them by price, size and property type.
Search Kerkrade 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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