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 metricsTime on market versus rent groups represented Súdwest-Fryslân rentals into price bands and calculates average visible duration within each. It shows whether higher-rent supply moves like lower-priced options or lingers. Price alone does not explain the pattern: size, type, condition, furnishing and local setting vary between tiers. Advertisement removal does not confirm a letting, so use the comparison as a relative liquidity signal rather than exact closing behaviour.
Compare time on market with asking-rent segments to see whether faster movement is concentrated at lower rents or remains visible among premium-priced homes in Súdwest-Fryslân. The key signal is the direction and consistency of the relationship across bands; isolated differences should not be overread as a universal pricing rule.
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.
TOM versus rent compares how quickly homes move across asking-rent levels in Súdwest-Fryslân. It helps landlords, investors, and analysts assess whether higher-priced homes remain liquid or whether demand softens as rents rise. Read the relationship as a pattern across rent bands, not as proof that price alone determines absorption.
See whether represented Súdwest-Fryslân rentals linger differently across rent tiers. The pattern signals relative liquidity while home mix, location and removal reasons still matter.
Higher asking rents may still attract demand when listing speed remains stable across premium rent bands.
A widening gap in TOM can indicate that demand becomes more selective as asking rents increase.
Fast movement at lower rents does not necessarily mean the entire Súdwest-Fryslân market is equally liquid.
Comparing rent tiers helps distinguish broad market liquidity from a split between accessible and slower-moving homes.
Changes in the mix of homes within each rent band can influence the observed relationship between rent and TOM.
Assess whether premium-priced homes retain competitive listing speed.
Compare broad rent tiers to identify demand sensitivity to asking prices.
Separate uniform market liquidity from fast and slow-moving price bands.
Discuss composition effects when homes differ across rent segments.
Frame TOM versus rent as an absorption signal rather than a causal pricing test.
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 TOM Vs Rent 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.
Inspect the homes in each price band, then compare overall time on market, median rent or the national breakdown.
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 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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