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 rental market in Leiden is split across property formats, such as apartments, shared homes, and larger units. Ground any comparison from Type Share in Leiden in the same property category, sample, and geography used by its source. It helps explain whether supply is shifting toward smaller homes or becoming more balanced. Read it as a structural signal, not a simple count of available listings.
Compare how each property type contributes to the overall market mix in Leiden and how those shares move over time. A rising share can mean one format is gaining prominence even if the total market is not changing much. Avoid reading small swings as a full market shift unless they persist.
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 rental market in Leiden is split across property formats, such as apartments, shared homes, and larger units. It helps explain whether supply is shifting toward smaller homes or becoming more balanced. Read it as a structural signal, not a simple count of available listings.
Use Type Share — Leiden to answer a defined local market question rather than treating one indicator as a complete verdict. Use observation count to frame Type Share in Leiden, then inspect housing mix and comparison before comparing results.
A higher apartment share usually points to a more compact rental stock and can signal stronger pressure on smaller homes.
Growth in shared-housing share may indicate more room-by-room supply or a market adapting to student and single-tenant demand.
A stronger presence of larger homes suggests a broader family-oriented rental mix, even when those homes are less common overall.
Share changes are useful for spotting structural shifts that raw listing counts can hide.
Leiden's historic urban form can influence the balance between apartments, smaller units, and larger-format homes.
Track whether Leiden's rental supply is becoming more apartment-heavy over time.
Use share changes to separate structural mix shifts from short-term listing noise.
Compare the role of shared housing with larger homes in a student-influenced market.
Read composition alongside demand to see which formats are most exposed to pressure.
Use the mix to understand whether the market is broadening or concentrating in fewer housing types.
This page documents one indicator. The Leiden 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 Leiden 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 Leiden is most informative when period, geography, and source are read together. Move from type share in Leiden 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 Leiden and filter them by price, size and property type.
Search Leiden 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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