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 metricsRent per square metre by furnishing compares the median normalized asking price within Haarlem's shell, upholstered and furnished rental segments. Adjusting for floor area helps separate a potential convenience premium from the simple fact that groups can contain differently sized homes. It does not isolate a fixed markup: compact-unit concentration, housing format, condition, location and sample composition can still shift the medians even when underlying demand is steadier.
Compare furnished and unfurnished segments using the median price per square meter. The gap shows whether furnishing adds a meaningful premium after size is accounted for. Treat small differences carefully, because unit mix and compact stock can influence the result.
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.
Furnishing can change the effective rent level per square meter, not just the monthly total. In Haarlem, that makes it useful for separating space-driven pricing from a real convenience premium. Read it as a normalized comparison, especially where compact homes can look expensive on a per-meter basis.
Compare represented Haarlem furnishing groups after adjusting asking rent for floor area. Any remaining spread may reflect move-in convenience alongside housing format, condition and location.
Furnished homes can appear costly because compact units often carry higher rent per meter, so size effects need to be separated from furnishing effects.
A higher per-meter figure for furnished stock suggests convenience is priced in beyond the underlying space value.
Small gaps between furnishing segments can mean furnishing matters less than location, layout, or unit type.
The median helps limit the influence of extreme listings, but it still reflects the mix of homes in each segment.
Use the comparison to judge whether furnished housing in Haarlem is a service premium or mostly a size story.
Separate convenience pricing from the effect of smaller unit sizes in Haarlem.
Compare furnished and unfurnished segments using normalized rent rather than total monthly rent.
Look for whether furnishing adds a persistent premium across the local rental mix.
Use the median to reduce noise from unusually cheap or expensive listings.
Interpret gaps alongside home type and size composition, not in isolation.
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 Furnishing Rent per m² by Location across supported Dutch locations using the represented listing sample. Differences reflect the covered sources, period and methodology and should not be treated as complete local-market or demand measurements.
Review the normalized segment medians and mix, then open the national furnishing comparison or Haarlem's monthly-rent breakdown.
Median and average asking rent, price per square meter, time on market, supply volume and the rest of the indicator library.
Browse metricsMulti measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.
Browse reportsSee 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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