Choose among defined rental-market indicators covering rent, supply, space, composition, affordability, and market speed. Interpret Rental Metrics with housing mix, method, and geography attached to the reported value. Each metric answers a different question and carries its own unit, denominator, aggregation, period, methodology, and available listing coverage. Read those definitions before opening a local view, then compare only results that use compatible geography, time windows, units, and populations.
Two metrics with similar names can describe very different things. Check the definition, the period and the geography before you compare a number between cities or against another source.
Each metric states what it counts and in which unit, from euro per month and euro per square meter to days, listing counts, shares and index values. Median and average answer different questions, so read the aggregation before the number.
Charts cover the last three, six or twelve months of represented listings. A smaller sample moves more between months, so treat short term swings in smaller cities as noise until the underlying counts support them.
Numbers describe the listings Luntero represents for a location, not every rental agreement signed there. City views only appear where the sample is large enough to describe the local market responsibly.
Browse the full set of listing based metrics for the Dutch rental market, from median and average asking rent to price per square meter, time on market, new listing volume, bedroom and property type shares, furnishing premiums and market liquidity. Each card links to the national view and to the cities where the metric has enough data behind it.
Advertised rent, median asking prices and how much a home costs per month across the represented listing sample.
The value in Average Rent by Location becomes meaningful only when the measure, geography, period, and available observations remain aligned. Average Rent by location is most informative when geography, comparison, and time window are read together.
Open Median Rent by Location when you need one local indicator and the context required to compare it responsibly. Ground any comparison from Median Rent by location in the same geography, comparison, and time window used by its source.
Rent by Bedrooms by Location isolates one local rental-market measure so its level, direction, and limitations can be examined clearly. Move from the displayed result on Rent by Bedrooms by location to geography, comparison, and source before interpreting the pattern.
Use the Rent by Type by Location result to identify a pattern worth investigating, then check the evidence behind the value. Read Rent by Type by location as a signal shaped by geography, comparison, and source, rather than a complete market verdict.
Open Current Median Rent by Location when you need one local indicator and the context required to compare it responsibly. Interpret Current Median Rent by location with geography, comparison, and time window attached to the reported value.
How many rental homes reach the market, how much stock stays advertised and how availability moves from month to month.
The value in New Listings Volume by Location becomes meaningful only when the measure, geography, period, and available observations remain aligned. Use geography to frame New Listings Volume by location, then inspect comparison and time window before comparing results.
Active Listings Stock by Location provides a focused view of a local rental signal with its measurement choices kept visible. Treat Active Listings Stock by location as market evidence only where geography, comparison, and time window remain compatible.
Which property types and bedroom counts make up the advertised supply, and how that mix differs between Dutch cities.
The value in Listings by Bedrooms by Location becomes meaningful only when the measure, geography, period, and available observations remain aligned. Listings by Bedrooms by location addresses a defined market question; geography, comparison, and time window set the limits of the answer.
Open Listings by Type by Location when you need one local indicator and the context required to compare it responsibly. Read Listings by Type by location as a signal shaped by geography, comparison, and time window, rather than a complete market verdict.
Type Share by Location turns a local dataset into one interpretable measure without presenting it as a forecast or recommendation. Use geography to frame Type Share by location, then inspect comparison and source before comparing results.
Use the Bedroom Share by Location result to identify a pattern worth investigating, then check the evidence behind the value. Before drawing a conclusion from Bedroom Share by location, verify geography, comparison, and time window in the documented method.
Small Unit Share by Location supports a disciplined local comparison when the same unit, period, aggregation, and population are used. Ground any comparison from Small Unit Share by location in the same geography, comparison, and source used by its source.
Median floor area, how size relates to asking rent and where compact or family sized homes actually appear.
Median Home Size by Location turns a local dataset into one interpretable measure without presenting it as a forecast or recommendation. A defensible comparison of Median Home Size by location keeps geography aligned with comparison and time window.
Compare Rent Vs Area by Location through its documented scope before relating the result to another place, period, or metric. For a useful reading of Rent Vs Area by location, match geography and comparison before judging source.
Price per square meter, small flat premiums and large unit discounts that show what an extra square meter really costs.
Price per m² by Location provides a focused view of a local rental signal with its measurement choices kept visible. Before drawing a conclusion from Price per m² by location, verify geography, comparison, and source in the documented method.
Read Rent per m² by Size by Location as a bounded market observation whose usefulness depends on consistent definitions and coverage. Rent per m² by Size by location is most informative when geography, comparison, and source are read together.
Current Price per m² by Location provides a focused view of a local rental signal with its measurement choices kept visible. Compare Current Price per m² by location like for like by holding geography, comparison, and source consistent.
Combined signals on rent levels, compact stock and turnover that describe how tight a local rental market reads.
Family Rental Share by Location isolates one local rental-market measure so its level, direction, and limitations can be examined clearly. Compare Family Rental Share by location like for like by holding geography, comparison, and time window consistent.
Time on market, listing turnover and how quickly advertised homes disappear again in the covered sample.
Time on Market by Location turns a local dataset into one interpretable measure without presenting it as a forecast or recommendation. Interpret Time on Market by location with geography, comparison, and source attached to the reported value.
This TOM Vs Rent by Location view helps separate the headline number from the definitions and coverage that produced it. A defensible comparison of TOM Vs Rent by location keeps geography aligned with comparison and source.
Open Market Liquidity Index by Location when you need one local indicator and the context required to compare it responsibly. For a useful reading of Market Liquidity Index by location, match geography and comparison before judging time window.
Furnished, upholstered and unfurnished shares plus the rent difference each fit out level carries.
The value in Furnishing Share by Location becomes meaningful only when the measure, geography, period, and available observations remain aligned. Move from the displayed result on Furnishing Share by location to geography, comparison, and time window before interpreting the pattern.
Read Rent by Furnishing by Location as a bounded market observation whose usefulness depends on consistent definitions and coverage. Rent by Furnishing by location addresses a defined market question; geography, comparison, and source set the limits of the answer.
Furnishing Rent per m² by Location isolates one local rental-market measure so its level, direction, and limitations can be examined clearly. Treat Furnishing Rent per m² by location as market evidence only where geography, comparison, and source remain compatible.
Every covered city has its own metric views built on the listings Luntero represents there. Start with median asking rent, then use the city page to move into price per square meter, supply, size and market speed for the same location.
The covered cities with the lowest advertised rent, set beside the ones where a square metre costs least. Cities that lead the first list often sit mid-table on the second, because a low monthly rent usually reflects a smaller advertised home.
Lowest monthly asking rent among the covered cities
Lowest cost per square metre among the covered cities
Luntero's monthly rent reports read every new rental listing of a closed month and turn it into figures you can compare from month to month: the median asking rent and its like-for-like change, rent per m² by home size, how asking rents spread across price bands, rent by home type, number of rooms and furnishing, and a ranking of all covered Dutch cities by rent and rent per square metre. Each month has a national report plus reports for Amsterdam, Rotterdam, The Hague, Utrecht and Eindhoven.
Before drawing a conclusion from Rental Metrics, verify comparison, time window, and source in the documented method.
Multi measure analyses of pricing, supply, composition, space, affordability and market speed across the Netherlands and its cities.
Browse reportsFind a metric, report or city view by name, unit or topic across everything Luntero publishes about the rental market.
Search market dataMove from represented market data to the apartments, rooms and houses advertised across the Netherlands right now.
Search 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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