Value for money
price per m²
space efficiency
value bands

What to Review in Space Value Bands by Location: Market Segment, Data Recency, and Measurement Unit

Use this Netherlands-wide report to compare space value bands across Dutch locations and identify where the pattern changes. Use recency to frame Space Value Bands by location, then inspect denominator and observation count before comparing results. Space value bands show how rental homes group by size and rent per square meter instead of collapsing into one average. That helps reveal where larger homes still price efficiently, where compact homes carry a premium, and where value weakens as size changes.

City views
77
Listings in the sample
169,000+
Longest period
12 months
City views

Space Value Bands by Location in every covered Dutch city

Open a city to read Space Value Bands 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.

Amsterdam25,000 listings analysedRotterdam12,000 listings analysedThe Hague10,000 listings analysedGroningen7,500 listings analysedUtrecht7,500 listings analysedEindhoven5,500 listings analysedMaastricht4,500 listings analysedEnschede4,500 listings analysedTilburg3,500 listings analysedDelft3,000 listings analysedBreda2,500 listings analysedLeiden2,500 listings analysedLeeuwarden2,000 listings analysedHaarlem2,000 listings analysedArnhem2,000 listings analysedNijmegen2,000 listings analysedAmstelveen1,500 listings analysedAlmere1,500 listings analysed's-Hertogenbosch1,500 listings analysedZwolle1,500 listings analysedHeerlen1,000 listings analysedWageningen1,000 listings analysedHaarlemmermeer1,000 listings analysedApeldoorn1,000 listings analysedAlkmaar1,000 listings analysedHilversum950 listings analysedDeventer950 listings analysedSittard-Geleen950 listings analysedAmersfoort900 listings analysedPurmerend800 listings analysedAssen750 listings analysedDiemen700 listings analysedZoetermeer700 listings analysedLeidschendam-Voorburg700 listings analysedRoermond650 listings analysedLelystad650 listings analysedZaanstad650 listings analysedRoosendaal650 listings analysedHengelo550 listings analysedSchiedam550 listings analysedNieuwegein550 listings analysedRijswijk500 listings analysedHelmond500 listings analysedVenlo500 listings analysedHoorn500 listings analysedEmmen500 listings analysedZeist450 listings analysedEde400 listings analysedKerkrade400 listings analysedDordrecht400 listings analysedMiddelburg400 listings analysedBergen op Zoom400 listings analysedOss400 listings analysedAlphen aan den Rijn400 listings analysedCapelle aan den IJssel350 listings analysedDen Helder350 listings analysedHeerenveen350 listings analysedVeldhoven350 listings analysedSmallingerland350 listings analysedWassenaar300 listings analysedWeert300 listings analysedVlissingen300 listings analysedHeerhugowaard300 listings analysedGoes300 listings analysedKampen300 listings analysedGooise Meren300 listings analysedNoordwijk250 listings analysedDoetinchem250 listings analysedOosterhout250 listings analysedLandgraaf250 listings analysedGouda250 listings analysedZutphen250 listings analysedAlmelo250 listings analysedEtten-Leur200 listings analysedTerneuzen200 listings analysedMeppel200 listings analysedBrunssum200 listings analysed
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How rental space and value cluster across the market

Space value bands show how rental homes group by size and price per square metre instead of collapsing into one average. That helps reveal where larger homes still price efficiently, where compact homes carry a premium, and where value weakens as size changes. The useful comparison is between bands, not isolated listings.

price per m²space efficiencyvalue bandssize clustersrental comparisonmarket segmentation

Compare Measurement Unit, Listing Coverage, and Housing Mix Through Space Value Bands by Location

Treat Space Value Bands by Location as a framework for comparing related local measures, not a final judgment about the market or a home. Before drawing a conclusion from Space Value Bands by location, verify housing mix, method, and comparison in the documented method.

What the data shows

  1. 1

    Some markets combine usable space with moderate pricing, while others charge a clear premium for similar floor area.

  2. 2

    Band analysis helps separate efficient stock from homes that look expensive once size is taken into account.

  3. 3

    A single average can hide very different value tiers that coexist within the same rental market.

  4. 4

    Compact homes and larger homes may follow different pricing patterns, so size mix matters as much as headline rent.

  5. 5

    Comparisons work best when reading where the densest value clusters sit, not only where the extremes appear.

What to look at next

  • Show how size and price interact across Dutch rental markets without reducing the market to one average.

  • Compare efficient space bands with premium bands to identify where value is concentrated.

  • Explain why composition effects matter when compact homes and larger homes are priced differently.

  • Frame the topic as a way to spot structurally expensive segments, not just high asking rents.

  • Use band clustering to discuss where renters may get more usable space for each euro per square metre.

Related reports

Reports that extend this analysis

Reports from the same market family come first, followed by other analyses that read the represented listing sample from a neighbouring angle.

See All Reports
Valuedistributionvalue per m²

The rent per m² Distribution by Location analysis brings related measures together while preserving the definitions behind each result. Interpret rent per m² Distribution by location with housing mix, method, and geography attached to the reported value.

rent per m² Distribution by
Valuecompact flatssize premium

The Small Flat Premium by Location report organizes multiple observations into one coherent question for local comparison. Small Flat Premium by location is most informative when housing mix, method, and comparison are read together.

Small Flat Premium by Location
Valueper-square-meter valueunit size premium

Open Large Unit Discount by Location for a structured view of the local evidence behind this market theme. Read Large Unit Discount by location as a signal shaped by housing mix, method, and geography, rather than a complete market verdict.

Large Unit Discount by Location
Valuevalue per m²space premium

This Rent per m² Hotspots by Location view helps renters and researchers examine how several market signals interact in the selected location. A defensible comparison of Rent per m² Hotspots by location keeps housing mix aligned with method and geography.

Rent per m² Hotspots by
PricingPrice bandsRental spread

Use Price Distribution by Location to investigate a local rental-market pattern without treating the analysis as a forecast or recommendation. Use housing mix to frame Price Distribution by location, then inspect method and geography before comparing results.

Price Distribution by Location
Compositionbedroom distributionrental composition

Treat Bedroom Mix by Location as a framework for comparing related local measures, not a final judgment about the market or a home. Bedroom Mix by location is most informative when housing mix, method, and geography are read together.

Bedroom Mix by Location

Explore Space Value Bands by Location: Sample Size, Housing Mix, and Geographic Scope

Move from the displayed result on Space Value Bands by location to observation count, publication date, and unit before interpreting the pattern. Choose a Dutch location to examine space value bands in its local market context, including the evidence, definition, and methodological cautions.

Rental market metrics

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