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 Almere tend to take longer to lease or still move quickly. For a useful reading of TOM Vs Rent in Almere, match property category and observation count before judging housing mix. It helps separate a broadly liquid market from one where demand weakens as price rises. Read it as a tier-by-tier signal rather than a single market verdict.
Compare average time on market across rent bands to see where listings stay competitive and where they slow down. A flatter pattern suggests broad demand, while a steeper rise in TOM at higher rents points to weaker absorption in the premium segment. Avoid reading small shifts as structural change.
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 Almere tend to take longer to lease or still move quickly. It helps separate a broadly liquid market from one where demand weakens as price rises. Read it as a tier-by-tier signal rather than a single market verdict.
Compare TOM Vs Rent — Almere through its documented scope before relating the result to another place, period, or metric. A defensible comparison of TOM Vs Rent in Almere keeps observation count aligned with publication date and method.
A small gap between rent tiers suggests demand remains fairly even across Almere’s rental market.
A wider gap at higher asking rents can signal that premium homes need more time to find tenants.
Use the pattern to judge whether pricing power is matched by leasing speed.
Segment breakdowns are more useful than a single average when the market is split by rent level.
Changes in home mix can shift the average, so compare the shape of the relationship over time.
Show whether Almere’s rental market clears evenly or slows as asking rent rises.
Compare lower, mid, and higher rent bands to spot where demand thins out.
Use the relationship as a proxy for pricing power in different parts of the market.
Explain how premium listings can remain liquid or become noticeably slower to lease.
Frame the metric as a check on market depth, not just headline rent levels.
This page documents one indicator. The Almere 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 Almere 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 Almere as market evidence only where period, unit, and comparison remain compatible. Review how tom vs rent is calculated for Almere, then compare the same indicator across places without mixing periods, geography levels, units, or coverage.
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 Almere and filter them by price, size and property type.
Search Almere 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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