Value for money
price per square meter
home size
value efficiency

Reporting Period, Measurement Unit, and Sample Size Behind Rent per Square Meter by Home Size by Location

Use this Netherlands-wide view to compare Rent per m² by Size across Dutch locations. A defensible comparison of Rent per m² by Size by location keeps method aligned with geography and time window. This topic shows whether compact homes carry a stronger per-meter premium than larger homes across the Netherlands. It helps compare how value shifts as floor area increases, which is useful for judging scarcity, efficiency, and the tradeoff between total rent and space.

City views
74
Listings in the sample
142,000+
Unit
No unit
Longest period
12 months

How price per square meter changes with size

This topic shows whether compact homes carry a stronger per-meter premium than larger homes across the Netherlands. It helps compare how value shifts as floor area increases, which is useful for judging scarcity, efficiency, and the tradeoff between total rent and space. Read it as a market pattern, not a fixed rule, because size effects can vary by segment and location.

price per square meterhome sizevalue efficiencyrent premiumspace tradeoffmarket comparison
City views

Rent per m² by Size by Location in every covered Dutch city

Open a city to read Rent per m² by Size 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
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What to Review in Rent per m² by Size by Location: Data Recency, Reporting Period, and Listing Coverage

Read Rent per m² by Size by Location as a bounded market observation whose usefulness depends on consistent definitions and coverage. Rent per m² by Size by location is most informative when geography, comparison, and source are read together.

What the data shows

  1. 1

    Compact homes often look expensive on a per-meter basis, even when total rent seems manageable.

  2. 2

    A flatter size pattern suggests larger homes do not gain much efficiency as area rises.

  3. 3

    A steeper pattern points to stronger scarcity in smaller units and a clearer space premium.

  4. 4

    Comparing locations helps show where size adds value and where it mostly adds cost.

  5. 5

    The topic is useful for renters weighing space against efficiency and for analysts tracking segmentation.

What to look at next

  • Compare how the per-meter premium shifts from compact units to larger homes.

  • Use the pattern to judge whether extra space improves value or mainly raises cost.

  • Look for markets where scarcity keeps large homes expensive on a normalized basis.

  • Separate total rent affordability from space efficiency when reading the results.

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.

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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
Euro per m²rent per m²current pricing

Current Price per m² by Location provides a focused view of a local rental signal with its measurement choices kept visible. Compare Current Price per m² by location like for like by holding geography, comparison, and source consistent.

Current Price per m² by
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
DaysMarket speedRental liquidity

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.

Time on Market 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 Reporting Period for Rent per m² by Size by Location

Compare Rent per m² by Size by location like for like by holding time window, source, and recency consistent. Select a Dutch location to review Rent per m² by Size 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.

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Rental listings

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

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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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