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 by property type reports a median asking price for each represented Ede housing format, allowing rooms, studios, apartments and houses to be compared without merging them into one market average. The hierarchy can frame what additional space and privacy cost, but it is not a ranking of quality or value. Floor area, furnishing, condition, location and changes in the homes available within each category can also influence its midpoint.
Compare the median asking rent across rooms, studios, apartments, and houses to see where the largest step-ups appear. The useful signal is the spread between types, not a single number in isolation, because each format attracts a different renter pool and can move differently over time.
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.
Rent in Ede varies by housing type because rooms, studios, apartments, and houses serve different renter needs and compete in separate segments. The gap between types helps show how much extra space and privacy typically cost, while also reflecting local demand for each format. Read it as a pricing hierarchy, not a direct measure of quality.
See how represented Ede asking-rent medians vary by property format. The hierarchy reflects privacy and space as well as different sizes, finishes and locations within each segment.
Rooms usually sit at the lower end of the type ladder, making them a useful reference point for entry-level demand.
Studios often bridge the gap between shared and self-contained housing, so their premium can signal privacy demand.
Apartments and houses tend to show the clearest step-up in rent when space and independence become more important.
The size of the gap between types helps reveal whether Ede has a steep or gradual pricing hierarchy.
Type mix can shift the median, so changes should be read as market structure as well as price movement.
Compare the rent ladder from rooms to houses and identify where the biggest jump appears.
Use type gaps to judge how costly it is to move from shared living to self-contained housing.
Read the spread between apartments and houses as a signal of space scarcity and household demand.
Treat medians as a stable benchmark, while remembering that the mix of listings can shape the result.
Frame Ede against broader Dutch type premiums to see whether local gaps look restrained or pronounced.
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 Rent by Type 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.
Examine each property-type median and its context, then explore the national rent-by-type metric or Ede's format counts.
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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