Rental market reports
Multi measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.
Browse reportsRent per m² Hotspots show where space carries a stronger or weaker price premium within The Hague. Use recency to frame Rent per m² Hotspots in The Hague, then inspect denominator and source before comparing results. The pattern helps distinguish concentrated high-value areas from places that still offer relatively better value for the space paid. Read it as a distribution signal, not a single market average.
Compare the higher and lower ends of the local value spectrum to understand where pricing pressure is most concentrated. The spread matters as much as the midpoint, because a narrow range suggests more even pricing while a wider range points to sharper area differences. Avoid reading one point as the whole market.
Figures come from the rental listings Luntero represents for the selected period. Sample sizes differ per location and month, so read short movements together with the underlying listing counts rather than as exact market wide changes.
PPM2 hotspots show where space carries a stronger or weaker price premium within Den Haag. The pattern helps distinguish concentrated high-value areas from places that still offer relatively better value for the space paid. Read it as a distribution signal, not a single market average.
Use Rent per m² Hotspots — The Hague to investigate a local rental-market pattern without treating the analysis as a forecast or recommendation. Before drawing a conclusion from Rent per m² Hotspots in The Hague, verify housing mix, method, and coverage in the documented method.
High PPM2 areas indicate where renters are paying the steepest premium for space within Den Haag.
Lower PPM2 areas can point to relative value pockets, even when the wider city remains expensive.
The spread between areas matters because it shows whether pricing pressure is concentrated or broadly shared.
Local mix effects can shape the pattern, so compare relative positions rather than isolated values.
PPM2 hotspots are useful for judging how much extra space costs in different parts of the city.
Show how local value premiums differ across Den Haag without assuming a uniform city market.
Explain why some areas command a stronger space premium than others.
Compare high-end and low-end area positions to reveal the spread in pricing pressure.
Use the distribution to discuss where renters may find relatively better value for space.
Frame the topic as an area-comparison tool rather than a simple average price view.
This page documents one indicator. The The Hague overview brings the median advertised rent, cost per square metre, three trend windows, listing supply and the bedroom, property-type and furnishing mix together in a single reading.
Stay in The Hague and switch the question. The same represented listing sample powers every metric and report below, so you can move from asking rent to price per square meter, supply, space and neighbourhood detail without losing the local context.
Compare Rent per m² Hotspots by Location across supported Dutch locations using the represented listing sample. Differences reflect the covered sources, period and methodology and are not complete measurements of local supply or demand.
Move from the displayed result on Rent per m² Hotspots in The Hague to observation count, publication date, and denominator before interpreting the pattern.
Multi measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.
Browse reportsMedian and average asking rent, price per square meter, time on market, supply volume and the rest of the indicator library.
Browse metricsSee the apartments, rooms and houses currently advertised in The Hague and filter them by price, size and property type.
Search The Hague rentalsHave 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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