Rent levels and pricing
bedroom segments
asking rent
layout comparison

Rent by Bedrooms by Location: Reporting Period, Measurement Unit, and Housing Mix

Use this Netherlands-wide view to compare rent by bedrooms across Dutch locations. Rent by Bedrooms by location is most informative when method, geography, and time window are read together. Bedroom count often changes rent more sharply than broad market averages suggest. Comparing segments helps show how household size, layout, and supply pressure affect pricing, while avoiding the mistake of treating all homes as one pool.

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

How bedroom count shapes asking rent

Bedroom count often changes rent more sharply than broad market averages suggest. Comparing segments helps show how household size, layout, and supply pressure affect pricing, while avoiding the mistake of treating all homes as one pool. The useful reading is the gap between bedroom categories, not a single headline figure.

bedroom segmentsasking rentlayout comparisonmedian renthousehold sizepricing spread
City views

Rent by Bedrooms by Location in every covered Dutch city

Open a city to read Rent by Bedrooms 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

Rent by Bedrooms by Location: Data Recency, Reporting Period, and Sample Size in Context

Rent by Bedrooms by Location isolates one local rental-market measure so its level, direction, and limitations can be examined clearly. Move from the displayed result on Rent by Bedrooms by location to geography, comparison, and source before interpreting the pattern.

What the data shows

  1. 1

    One-bedroom, two-bedroom, and larger homes can behave like separate pricing segments within the same market.

  2. 2

    A wider gap between bedroom counts can signal stronger competition for family-sized homes or tighter supply.

  3. 3

    Median asking rent helps reduce the influence of extreme listings when comparing bedroom categories.

  4. 4

    The most useful comparison is the relative jump between layouts, not a broad market average alone.

  5. 5

    Shifts in one segment do not always move the others in the same way, so each category deserves separate reading.

What to look at next

  • How bedroom count changes pricing within the same local market

  • Why household size creates different rent dynamics across segments

  • Reading the gap between one-, two-, and larger-bedroom homes

  • When bedroom categories act like separate submarkets

  • Using median asking rent to compare layout-based affordability

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
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 monthasking renthousing type

Use the Rent by Type by Location result to identify a pattern worth investigating, then check the evidence behind the value. Read Rent by Type by location as a signal shaped by geography, comparison, and source, rather than a complete market verdict.

Rent by Type by Location
Euro per monthCurrent pricingMedian rent

Open Current Median Rent by Location when you need one local indicator and the context required to compare it responsibly. Interpret Current Median Rent by location with geography, comparison, and time window attached to the reported value.

Current 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
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

Continue from Rent by Bedrooms by Location: Source Methodology, Market Segment, and Measurement Unit

Read Rent by Bedrooms by location as a signal shaped by time window, source, and recency, rather than a complete market verdict. Select a Dutch location to review rent by bedrooms 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.

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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