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 mix of apartments, houses, and other rental formats is distributed in Heerenveen. Ground any comparison from Type Share in Heerenveen in the same property category, coverage, and publication date used by its source. It helps reveal whether supply is becoming more compact, more family-oriented, or more dependent on shared housing. Read it as a structural signal rather than a simple volume measure.
The distribution highlights which housing formats make up the rental market and how their relative weight changes over time. Compare the shares of each type to see whether the market is tilting toward apartments, retaining more larger homes, or shifting toward shared formats. Small changes can still matter when they reflect a broader change in supply mix.
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 mix of apartments, houses, and other rental formats is distributed in Heerenveen. It helps reveal whether supply is becoming more compact, more family-oriented, or more dependent on shared housing. Read it as a structural signal rather than a simple volume measure.
Type Share — Heerenveen turns a local dataset into one interpretable measure without presenting it as a forecast or recommendation. Use observation count to frame Type Share in Heerenveen, then inspect sample and period before comparing results.
A changing type mix can signal a market that is becoming more compact or more family-oriented.
Apartment-heavy supply often points to different renter options than a market with more larger homes.
Share changes matter even when total supply does not move much, because the market can still recompose.
Persistent shifts are more informative than one-off swings caused by a narrow set of listings.
Type share helps explain why two markets with similar volumes can feel very different to renters.
Track whether Heerenveen is becoming more apartment-led or more evenly mixed.
Use composition shifts to explain changes in renter choice, not just listing volume.
Compare how larger homes and compact units contribute to the local rental stock.
Read the mix as a signal of market structure and long-term supply direction.
Separate genuine composition change from short-term variation in available listings.
This page documents one indicator. The Heerenveen 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 Heerenveen 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 Heerenveen is most informative when period, method, and coverage are read together. Use the Heerenveen reading for type share to frame a precise market question, then examine compatible locations and related indicators before drawing a conclusion.
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 Heerenveen and filter them by price, size and property type.
Search Heerenveen 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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