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 still move quickly or start to slow as prices rise. For a useful reading of TOM Vs Rent in Diemen, match property category and period before judging geography. In Diemen, the pattern helps separate broadly liquid segments from bands where demand becomes more selective. Read it as a signal of absorption strength, not as a stand-alone measure of value.
Compare how time on market changes across asking-rent segments in Diemen. Shorter TOM in higher tiers can indicate resilient demand, while a wider gap between cheaper and pricier homes suggests weaker absorption at the upper end. Avoid overreading small swings, which can reflect mix changes.
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 still move quickly or start to slow as prices rise. In Diemen, the pattern helps separate broadly liquid segments from bands where demand becomes more selective. Read it as a signal of absorption strength, not as a stand-alone measure of value.
The value in TOM Vs Rent — Diemen becomes meaningful only when the measure, geography, period, and available observations remain aligned. A defensible comparison of TOM Vs Rent in Diemen keeps observation count aligned with unit and comparison.
A tight link between rent and TOM suggests the market is clearing across multiple price bands.
If higher-rent homes take longer, demand may be thinning as asking prices rise.
A flat pattern points to broad liquidity rather than a sharp split between cheap and premium stock.
Large gaps between segments can signal that pricing power is limited above a certain level.
Use the relationship alongside other liquidity measures to judge how quickly renters are absorbing supply.
Show whether Diemen stays liquid across rent bands or becomes slower at the premium end.
Compare absorption speed in lower and higher asking-rent segments without assuming a linear trend.
Use the pattern to judge whether pricing up still meets active demand in Diemen.
Frame the metric as a test of market breadth, not just overall speed.
Highlight where composition effects can distort a simple reading of average TOM.
This page documents one indicator. The Diemen 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 Diemen 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 Diemen as market evidence only where period, sample, and source remain compatible. Open the wider tom vs rent comparison from the Diemen result, distinguish level from direction, and preserve the methodology and evidence limits throughout.
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 Diemen and filter them by price, size and property type.
Search Diemen 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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