Size and floor space
Compact units
Micro-living
Small-format supply

Market Segment, Data Recency, and Reporting Period for Compact Hotspots by Location

Use this Netherlands-wide report to compare compact hotspots across Dutch locations and identify where the pattern changes. Use recency to frame Compact Hotspots by location, then inspect denominator and property category before comparing results. Compact hotspots show where small-format rental homes make up a stronger share of local supply. That concentration can point to dense central districts, student-oriented demand, affordability pressure, or submarkets shaped by micro-living.

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

Compact Hotspots by Location in every covered Dutch city

Open a city to read Compact Hotspots 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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Where compact rental supply tends to cluster

Compact hotspots show where small-format rental homes make up a stronger share of local supply. That concentration can point to dense central districts, student-oriented demand, affordability pressure, or submarkets shaped by micro-living. The topic helps compare how strongly each Dutch market leans toward compact stock and what that suggests about local housing structure.

Compact unitsMicro-livingSmall-format supplyUrban rental mixStudent demandCentral districts

Measurement Unit, Listing Coverage, and Sample Size Behind Compact Hotspots by Location

This Compact Hotspots by Location view helps renters and researchers examine how several market signals interact in the selected location. Before drawing a conclusion from Compact Hotspots by location, verify housing mix, method, and geography in the documented method.

What the data shows

  1. 1

    A higher compact share often signals a market shaped by dense living patterns rather than larger family-oriented homes.

  2. 2

    Strong concentrations can reflect affordability pressure, especially where smaller units are used to keep entry costs lower.

  3. 3

    Student demand and short-stay urban lifestyles often support a larger compact-stock footprint in some areas.

  4. 4

    Comparisons work best as a distribution view, showing where compact housing is structurally more common.

  5. 5

    Low compact concentration does not mean weak demand; it can simply indicate a different housing mix and dwelling size profile.

What to look at next

  • Compare compact-stock concentration against broader rental mix to identify specialized submarkets.

  • Read strong compact shares as a sign of dense urban form, not just a temporary market shift.

  • Use the topic to separate student-led or central-area demand from family-oriented housing patterns.

  • Treat compact hotspots as a structural supply pattern that can shape affordability and tenant choice.

  • Look for markets where small-unit concentration suggests limited room for larger dwellings.

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
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
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
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

Use Compact Hotspots by Location to Compare Sample Size, Housing Mix, and Aggregation Method

Move from the displayed result on Compact Hotspots by location to observation count, publication date, and period before interpreting the pattern. Choose a Dutch location to examine compact hotspots in its local market context, including the evidence, definition, and methodological cautions.

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