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 metricsThis Ede measure compares median asking rent per square metre across shell, upholstered and furnished rental segments. Dividing rent by floor area reduces the distortion created when one category contains larger homes, helping expose whether a furnishing-related premium remains. It does not isolate furnishing value completely: compact-stock concentration, property type, condition, location and sample coverage can still differ between groups and influence their medians.
Compare furnished and unfurnished segments by their median rent per square meter. The gap helps separate a furnishing premium from simple size effects, especially where smaller homes tend to look expensive on a per-meter basis. Focus on the relative spread rather than any single listing style.
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 lift rent per square meter because it adds convenience, not just space. In Ede, that matters when comparing compact furnished homes with larger unfurnished ones, since size alone can distort the picture. The median helps show whether furnishing still carries a clear premium after space is normalized.
See whether furnishing categories retain different Ede asking-rent levels after floor area is normalized. Segment property mix can still contribute to any observed premium or discount.
A higher furnished median can indicate a real convenience premium, not only a smaller average home size.
Unfurnished stock may look cheaper per meter, but the gap should be read alongside the type of homes in each segment.
Median pricing reduces the impact of outliers and gives a steadier view of furnishing differences.
In Ede, the comparison is most useful when judging whether furnishing adds value beyond compact floor plans.
Segment mix can shape the result, so avoid treating the gap as a pure furnishing effect alone.
Separate furnishing value from size effects in Ede’s rental market.
Use median rent per m² to compare convenience pricing across furnishing types.
Explain when a furnished premium reflects service value versus compact stock.
Compare furnished and unfurnished segments without overreading single-home extremes.
Show how composition effects can shape per-meter pricing in Ede.
This page documents one indicator. The Ede 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 Ede 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 composition, then open the national furnishing comparison or Ede'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 Ede and filter them by price, size and property type.
Search Ede 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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