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 metricsTOM versus rent shows whether higher asking rents in Delft tend to stay on the market longer or still move quickly. For a useful reading of TOM Vs Rent in Delft, match property category and publication date before judging denominator. It helps separate broad demand from weaker absorption at the premium end, so the pattern can be read as a sign of market depth rather than a simple price trend. Compare how average time on market changes across rent bands in Delft.
Compare how average time on market changes across rent bands in Delft. A flatter pattern suggests demand is holding across price levels, while a steeper rise at higher rents points to slower absorption and more selective renters. Avoid reading small shifts as structural without a wider context.
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 shows whether higher asking rents in Delft tend to stay on the market longer or still move quickly. It helps separate broad demand from weaker absorption at the premium end, so the pattern can be read as a sign of market depth rather than a simple price trend.
Use TOM Vs Rent — Delft to answer a defined local market question rather than treating one indicator as a complete verdict. A defensible comparison of TOM Vs Rent in Delft keeps observation count aligned with period and property category.
A tight link between rent and TOM suggests demand is still broad across Delft’s rental bands.
If higher-rent homes take longer, the premium segment may be more selective or less liquid.
A similar TOM across tiers points to a market where price alone is not slowing demand much.
Large gaps between tiers can signal a split market, with faster entry-level demand and slower premium absorption.
Use the pattern to judge whether Delft behaves like a single market or several price bands with different speeds.
Compare lower and higher asking rents to see where renter demand weakens first.
Read slower premium turnover as a sign of selectivity, not necessarily weaker overall demand.
Look for consistency in TOM across tiers as evidence of broad liquidity in Delft.
Use the relationship to frame pricing strategy for landlords deciding how far to push asking rent.
This page documents one indicator. The Delft 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 Delft 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.
Treat TOM Vs Rent in Delft as market evidence only where period, coverage, and publication date remain compatible. Move from tom vs rent in Delft 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 Delft and filter them by price, size and property type.
Search Delft 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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