Market speed
Market speed
Rental liquidity
Demand pressure

Reporting Period, Measurement Unit, and Housing Mix Behind Time On Market by Location

Use this Netherlands-wide view to compare time on market across Dutch locations. Read Time on Market by location as a signal shaped by method, geography, and time window, rather than a complete market verdict. Time on market shows how long rental homes usually remain active before they leave supply. Shorter durations point to faster absorption and stronger renter demand, while longer durations can signal softer demand, pricing friction, or stock building up faster than it clears.

City views
74
Listings in the sample
142,000+
Unit
Days
Longest period
12 months

What rental listing speed reveals in the Netherlands

Time on market shows how long rental homes usually remain active before they leave supply. Shorter durations point to faster absorption and stronger renter demand, while longer durations can signal softer demand, pricing friction, or stock building up faster than it clears. It is most useful when read as a market-speed signal rather than a simple popularity score.

Market speedRental liquidityDemand pressureListing absorptionPricing signalMedian days
City views

Time on Market by Location in every covered Dutch city

Open a city to read Time on Market by Location for that local rental market, with the sample size behind each view shown next to the city name. Cities appear here once Luntero represents enough listings to describe them responsibly.

Amsterdam26,000 listings analysedRotterdam12,000 listings analysedThe Hague10,000 listings analysedGroningen8,000 listings analysedUtrecht7,500 listings analysedEindhoven5,500 listings analysedMaastricht5,000 listings analysedEnschede4,500 listings analysedTilburg4,000 listings analysedDelft3,000 listings analysedBreda3,000 listings analysedLeiden2,500 listings analysedLeeuwarden2,000 listings analysedHaarlem2,000 listings analysedArnhem2,000 listings analysedNijmegen2,000 listings analysedAmstelveen1,500 listings analysedAlmere1,500 listings analysedZwolle1,500 listings analysed's-Hertogenbosch1,500 listings analysedHeerlen1,500 listings analysedWageningen1,000 listings analysedHaarlemmermeer1,000 listings analysedApeldoorn1,000 listings analysedAlkmaar1,000 listings analysedHilversum1,000 listings analysedDeventer1,000 listings analysedSittard-Geleen950 listings analysedAmersfoort900 listings analysedAssen800 listings analysedPurmerend800 listings analysedZoetermeer750 listings analysedDiemen750 listings analysedLeidschendam-Voorburg700 listings analysedRoermond700 listings analysedZaanstad650 listings analysedRoosendaal650 listings analysedLelystad650 listings analysedSchiedam600 listings analysedRijswijk550 listings analysedHengelo550 listings analysedNieuwegein550 listings analysedVenlo500 listings analysedHelmond500 listings analysedEmmen500 listings analysedZeist450 listings analysedKerkrade450 listings analysedEde450 listings analysedDen Helder400 listings analysedDordrecht400 listings analysedAlphen aan den Rijn400 listings analysedBergen op Zoom400 listings analysedOss400 listings analysedHoorn400 listings analysedCapelle aan den IJssel400 listings analysedHeerenveen350 listings analysedVeldhoven350 listings analysedSmallingerland350 listings analysedWeert350 listings analysedWassenaar350 listings analysedVlissingen300 listings analysedGoes300 listings analysedHeerhugowaard300 listings analysedSúdwest-Fryslân300 listings analysedKampen300 listings analysedNoordwijk300 listings analysedZutphen250 listings analysedAlmelo250 listings analysedMeppel200 listings analysedTerneuzen200 listings analysedHoogeveen200 listings analysedBrunssum200 listings analysedLisse200 listings analysedVlaardingen200 listings analysed
Browse cities one by one

What to Review in Time On Market by Location: Data Recency, Reporting Period, and Sample Size

Time on Market by Location turns a local dataset into one interpretable measure without presenting it as a forecast or recommendation. Interpret Time on Market by location with geography, comparison, and source attached to the reported value.

What the data shows

  1. 1

    Shorter time on market usually means active demand is absorbing available rentals quickly.

  2. 2

    Longer durations can point to slower take-up, weaker urgency, or pricing that is harder to clear.

  3. 3

    Median days help reduce the influence of unusually fast or unusually slow individual listings.

  4. 4

    Changes over time are often more useful than a single level because they show momentum.

  5. 5

    Comparisons across Dutch locations help separate tight submarkets from slower-moving ones.

What to look at next

  • Use it as a liquidity measure rather than a simple popularity metric.

  • Compare locations to see where rentals clear quickly and where they linger.

  • Read rising durations as a possible sign of softer demand or higher asking prices.

  • Treat median days as a stable summary that limits the effect of outliers.

Related metrics

Metrics that answer the neighbouring question

Measures from the same market family come first, followed by other indicators that are useful next to this one when you are building a fuller picture of a Dutch rental market.

See All Metrics
No unitlisting speedasking rent

This TOM Vs Rent by Location view helps separate the headline number from the definitions and coverage that produced it. A defensible comparison of TOM Vs Rent by location keeps geography aligned with comparison and source.

TOM Vs Rent by Location
Index valueLiquidityMarket tightness

Open Market Liquidity Index by Location when you need one local indicator and the context required to compare it responsibly. For a useful reading of Market Liquidity Index by location, match geography and comparison before judging time window.

Market Liquidity Index by Location
Euro per monthRental pricingMarket direction

The value in Average Rent by Location becomes meaningful only when the measure, geography, period, and available observations remain aligned. Average Rent by location is most informative when geography, comparison, and time window are read together.

Average Rent by Location
Euro per monthasking rentpricing benchmark

Open Median Rent by Location when you need one local indicator and the context required to compare it responsibly. Ground any comparison from Median Rent by location in the same geography, comparison, and time window used by its source.

Median Rent by Location
Euro per m²rent efficiencysize-normalized rent

Price per m² by Location provides a focused view of a local rental signal with its measurement choices kept visible. Before drawing a conclusion from Price per m² by location, verify geography, comparison, and source in the documented method.

Price per m² by Location
Listing countSupply flowFresh listings

The value in New Listings Volume by Location becomes meaningful only when the measure, geography, period, and available observations remain aligned. Use geography to frame New Listings Volume by location, then inspect comparison and time window before comparing results.

New Listings Volume by Location

Confirm Source Methodology, Market Segment, and Measurement Unit for Time On Market by Location

Use time window to frame Time on Market by location, then inspect source and recency before comparing results. Select a Dutch location to review time on market in local context, including its direction, definition, and methodological limits.

Rental market reports

Multi measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.

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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 metrics

Rental listings

Move from represented market data to the apartments, rooms and houses advertised across the Netherlands right now.

Search rentals

Request a New Market Metric or Insight

Have 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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