Rental market reports
Multi measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.
Browse reportsExamining the intersection of property types and bedroom counts reveals the structural patterns of the Súdwest-Fryslân rental market. This matrix shows which configurations dominate local supply, helping analysts and landlords identify whether specific combinations, like multi-bedroom apartments or houses, are common or rare.
Compare bedroom counts within each property type, then compare the same bedroom count across types. The most useful signal is the shape of the matrix: concentrations indicate established supply patterns, while sparse combinations may point to narrower availability. Counts describe composition and should not be read as current availability, demand, or a ranking.
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.
The type-bedroom matrix shows how available rental stock in Súdwest-Fryslân is distributed across property types and bedroom counts. It reveals combinations that are relatively common or limited, helping renters assess realistic choices and helping analysts understand supply structure. Read the pattern as a composition view, not as a measure of quality or demand.
A detailed breakdown of the Súdwest-Fryslân rental market combining property types with bedroom counts. Analysts and landlords can evaluate which configurations are widely available and which segments remain underserved, offering clear insights into local housing composition.
Two dimensions together can reveal supply gaps hidden by separate type or bedroom summaries.
A common bedroom count may be concentrated in one property type rather than broadly available.
Sparse cells identify combinations that may require wider search criteria or closer monitoring.
The matrix supports comparisons between compact and larger homes without treating size as a quality measure.
Counts describe the observed market composition, not guaranteed availability for an individual renter.
Compare bedroom counts within apartments, houses, and other property types.
Identify combinations that appear concentrated or structurally limited.
Explain why separate type and size summaries can hide important supply patterns.
Frame the matrix as a search-planning tool for renters and landlords.
Discuss how category scope and stock composition influence count comparisons.
This page documents one indicator. The Súdwest-Fryslân 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 Súdwest-Fryslân 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 Bedroom Matrix by Location across supported Dutch locations using the represented listing sample. Differences reflect the covered sources, period and methodology and are not complete measurements of local supply or demand.
Review Type and Bedroom Mix evidence for Súdwest-Fryslân alongside its scope, measurement period and methodology, then use the result to frame rather than replace property-level comparison.
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 metricsSee the apartments, rooms and houses currently advertised in Súdwest-Fryslân and filter them by price, size and property type.
Search Súdwest-Fryslân 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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