Use this Netherlands-wide view to compare type share across Dutch locations. Ground any comparison from Type Share by location in the same method, geography, and time window used by its source. Property type share shows how the available rental stock is divided across apartments, houses, studios, and other formats. It matters because the mix shapes tenant choice, pricing pressure, and the kind of demand each market can absorb.
Property type share shows how the available rental stock is divided across apartments, houses, studios, and other formats. It matters because the mix shapes tenant choice, pricing pressure, and the kind of demand each market can absorb. Read changes as a composition signal rather than a simple volume story.
Open a city to read Type Share by Location for that local rental market, with the sample size behind each view shown next to the city name. Cities appear here once Luntero represents enough listings to describe them responsibly.
Type Share by Location turns a local dataset into one interpretable measure without presenting it as a forecast or recommendation. Use geography to frame Type Share by location, then inspect comparison and source before comparing results.
A rising apartment share can signal a market that is becoming more compact and urban in character.
A larger share of shared housing often points to a different tenant mix and shorter-term flexibility.
Changes in type share can matter even when overall supply is stable, because the available stock is shifting.
Comparisons across locations help show whether one market is broadening or narrowing in format.
Type share is useful for reading structural change, not for judging demand strength on its own.
Explain how the mix of homes changes the renter experience and search options.
Compare markets that are apartment-led with those that still have more house-based supply.
Use share shifts to identify structural change in supply, not just short-term fluctuations.
Show how shared housing and smaller formats can alter the overall market character.
Frame type share as a way to understand which housing formats are gaining or losing presence over time.
Measures from the same market family come first, followed by other indicators that are useful next to this one when you are building a fuller picture of a Dutch rental market.
The value in Listings by Bedrooms by Location becomes meaningful only when the measure, geography, period, and available observations remain aligned. Listings by Bedrooms by location addresses a defined market question; geography, comparison, and time window set the limits of the answer.
Open Listings by Type by Location when you need one local indicator and the context required to compare it responsibly. Read Listings by Type by location as a signal shaped by geography, comparison, and time window, rather than a complete market verdict.
Use the Bedroom Share by Location result to identify a pattern worth investigating, then check the evidence behind the value. Before drawing a conclusion from Bedroom Share by location, verify geography, comparison, and time window in the documented method.
Small Unit Share by Location supports a disciplined local comparison when the same unit, period, aggregation, and population are used. Ground any comparison from Small Unit Share by location in the same geography, comparison, and source used by its source.
The value in Average Rent by Location becomes meaningful only when the measure, geography, period, and available observations remain aligned. Average Rent by location is most informative when geography, comparison, and time window are read together.
Open Median Rent by Location when you need one local indicator and the context required to compare it responsibly. Ground any comparison from Median Rent by location in the same geography, comparison, and time window used by its source.
Type Share by location is most informative when time window, source, and recency are read together. Select a Dutch location to review type share in local context, including its direction, definition, and methodological limits.
Multi measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.
Browse reportsMedian and average asking rent, price per square meter, time on market, supply volume and the rest of the indicator library.
Browse metricsMove from represented market data to the apartments, rooms and houses advertised across the Netherlands right now.
Search 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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