Rental market reports
Multi measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.
Browse reportsRental prices per square meter in Haarlem vary significantly between historic central districts and outlying residential areas. Understanding these local hotspots helps identify where space commands a steep premium and where relative value remains. This spatial distribution of rental values provides essential clarity for navigating the competitive North Holland housing market.
Compare the spread of price per square meter across Haarlem’s local areas to see where premiums are concentrated and where relative value may still exist. The main signal is the gap between high and low ends, not a single average, so avoid reading small differences as lasting market shifts.
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 price per square meter sits at the high or low end within Haarlem. The pattern helps reveal whether space is priced evenly or whether a few areas carry a clear premium. It is useful for comparing value, but it should be read as a distribution rather than a simple ranking of quality.
Evaluate how rental costs per square meter are distributed across Haarlem. This analysis highlights the neighborhoods commanding the highest premiums and identifies areas where renters and investors can find more space for their budget, clarifying local market dynamics.
High PPM2 areas signal where space commands a stronger premium within Haarlem’s local market.
Lower PPM2 areas can indicate pockets of relative value, even when the wider city remains expensive.
The distribution matters more than a single average because pricing pressure is rarely uniform.
Micro-location effects can be strong, so nearby areas may still differ meaningfully in value.
Use the pattern to compare where renters pay for location and where space is priced more modestly.
Show how value pressure is distributed across Haarlem rather than assuming one citywide level.
Compare premium areas with lower-priced pockets to frame renter tradeoffs on space and location.
Use the spread in price per square meter to identify concentrated versus broad-based pricing pressure.
Interpret local extremes as signals of market structure, not as a simple quality ranking.
Relate Haarlem’s hotspot pattern to how much extra renters pay for central or scarce space.
This page documents one indicator. The Haarlem 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 Haarlem 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.
Review PPM2 hotspots evidence for Haarlem alongside its scope, measurement period and methodology, then use the result to frame rather than replace property-level comparison.
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 Haarlem and filter them by price, size and property type.
Search Haarlem 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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