One measure at a time
Metric pages document a single indicator: what it measures, which unit and aggregation it uses, and how to compare it responsibly between locations and periods.
Browse all metricsChoose between defined rental-market metrics, broader analytical reports, and available local views according to the question you need to answer. A metric isolates one measure; a report combines related evidence around a wider pattern. Read every result with its geography, period, unit, denominator, aggregation, methodology, and available listing coverage before comparing places or drawing practical conclusions.
Luntero publishes rental market data at three levels of depth. A metric documents one measure such as median rent or price per square meter, a report combines several measures into one analytical question, and a city view narrows either of them down to a single Dutch rental market. Pick the level that matches your question before comparing numbers, because every level carries its own unit, period and sample.
Metric pages document a single indicator: what it measures, which unit and aggregation it uses, and how to compare it responsibly between locations and periods.
Browse all metricsReports combine related measures into a single analysis of pricing, supply, composition, space, affordability or market speed across the represented listings.
Browse all reportsCity views apply a metric or report to one Dutch rental market, so you can read local asking rents, neighbourhood spreads and available stock in context.
Open a city viewEvery metric and report belongs to a market family: pricing, supply, composition, space, value, affordability, market speed or furnishing. Use the families below to jump straight to the measure that answers your question, whether you are checking median asking rents in Amsterdam, price per square meter in Rotterdam, family sized availability in Utrecht or how long homes stay advertised in Groningen.
Advertised rent, median asking prices and how much a home costs per month across the represented listing sample.
Metrics
How many rental homes reach the market, how much stock stays advertised and how availability moves from month to month.
Which property types and bedroom counts make up the advertised supply, and how that mix differs between Dutch cities.
Metrics
Median floor area, how size relates to asking rent and where compact or family sized homes actually appear.
Reports
Price per square meter, small flat premiums and large unit discounts that show what an extra square meter really costs.
Combined signals on rent levels, compact stock and turnover that describe how tight a local rental market reads.
Time on market, listing turnover and how quickly advertised homes disappear again in the covered sample.
Furnished, upholstered and unfurnished shares plus the rent difference each fit out level carries.
Luntero publishes a city view for every location with enough represented listings to describe responsibly. Open a city to read its median asking rent, price per square meter, supply mix and market speed, then move sideways into the reports built for that same city.
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
Reports read the represented listing sample from one analytical angle, from price distribution and bedroom mix across the Netherlands to neighbourhood price spreads and micro unit pressure inside a single city.
Use Price Distribution by Location to investigate a local rental-market pattern without treating the analysis as a forecast or recommendation. Use housing mix to frame Price Distribution by location, then inspect method and geography before comparing results.
The rent per m² Distribution by Location analysis brings related measures together while preserving the definitions behind each result. Interpret rent per m² Distribution by location with housing mix, method, and geography attached to the reported value.
Treat Bedroom Mix by Location as a framework for comparing related local measures, not a final judgment about the market or a home. Bedroom Mix by location is most informative when housing mix, method, and geography are read together.
Type Mix Overview by Location combines related rental-market measures around one analytical question rather than presenting a single isolated number. Move from the displayed result on Type Mix Overview by location to housing mix, method, and comparison before interpreting the pattern.
The Furnishing Mix by Location analysis brings related measures together while preserving the definitions behind each result. Move from the displayed result on Furnishing Mix by location to housing mix, method, and geography before interpreting the pattern.
The Small Flat Premium by Location report organizes multiple observations into one coherent question for local comparison. Small Flat Premium by location is most informative when housing mix, method, and comparison are read together.
Select a metric when you need one defined indicator, or open a report when the question requires several connected measures, then keep the geography, period, unit, aggregation, methodology, and coverage aligned.
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 reportsMove 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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