Property composition
property type
bedroom count
stock mix

Type Bedroom Matrix by Location — Compare Market Segment, Data Recency, and Measurement Unit

Use this Netherlands-wide report to compare type bedroom matrix across Dutch locations and identify where the pattern changes. Treat Type Bedroom Matrix by location as market evidence only where recency, denominator, and observation count remain compatible. Property type and bedroom count interact to show how rental stock is actually distributed. A matrix view helps separate common combinations from scarce ones, so renters and analysts can judge whether a market is broad, narrow, or skewed toward certain formats.

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

Type Bedroom Matrix by Location in every covered Dutch city

Open a city to read Type Bedroom Matrix 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
Browse cities one by one

How property type and bedroom count shape supply

Property type and bedroom count interact to show how rental stock is actually distributed. A matrix view helps separate common combinations from scarce ones, so renters and analysts can judge whether a market is broad, narrow, or skewed toward certain formats. It is most useful for comparing structure rather than chasing a single count.

property typebedroom countstock mixsupply structurerental compositionunit formats

Type Bedroom Matrix by Location — Measurement Unit, Listing Coverage, and Housing Mix

Type Bedroom Matrix by Location combines related rental-market measures around one analytical question rather than presenting a single isolated number. Compare Type Bedroom Matrix by location like for like by holding housing mix, method, and comparison consistent.

What the data shows

  1. 1

    Some markets look balanced by type or size alone, but the matrix can reveal strong concentration in just a few combinations.

  2. 2

    A high share of one-bedroom apartments means very different options from a market where larger houses dominate.

  3. 3

    Rare combinations matter because they can signal limited choice for households with specific space needs.

  4. 4

    The mix helps compare whether a location offers breadth across formats or is shaped by a narrow stock profile.

  5. 5

    Type and bedroom count together are more informative than either measure on its own when judging market fit.

What to look at next

  • Explain how combined type-and-bedroom patterns reveal real market structure.

  • Compare broad, mixed stock with markets dominated by a few common combinations.

  • Show why rare combinations can matter more than headline totals.

  • Frame the matrix as a way to judge fit for different household sizes and housing preferences.

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
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
Compositionproperty typesmarket composition

Type Mix Overview by Location combines related rental-market measures around one analytical question rather than presenting a single isolated number. Move from the displayed result on Type Mix Overview by location to housing mix, method, and comparison before interpreting the pattern.

Type Mix Overview by Location
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
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
Furnishingfurnished rentalssemi-furnished homes

The Furnishing Mix by Location analysis brings related measures together while preserving the definitions behind each result. Move from the displayed result on Furnishing Mix by location to housing mix, method, and geography before interpreting the pattern.

Furnishing Mix by Location
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

Sample Size, Housing Mix, and Geographic Scope: Continue from Type Bedroom Matrix by Location

Type Bedroom Matrix by location addresses a defined market question; observation count, publication date, and unit set the limits of the answer. Choose a Dutch location to examine type bedroom matrix in its local market context, including the evidence, definition, and methodological cautions.

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

Search the market library

Find a metric, report or city view by name, unit or topic across everything Luntero publishes about the rental market.

Search market data

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.

Newest Properties in the Netherlands

Explore the latest properties added to Luntero. Find new apartments, houses, and studios across the Netherlands — updated daily to help you discover your next home faster.