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 metricsTOM versus rent shows whether higher asking prices in Goes tend to move more slowly or whether demand stays resilient across rent tiers. For a useful reading of TOM Vs Rent in Goes, match property category and unit before judging geography. The pattern helps separate broadly liquid segments from price bands that need more time to clear. Read it as a market balance signal, not a direct measure of quality or value.
Compare how average time on market changes across rent segments in Goes. Shorter times suggest stronger absorption, while longer times can point to weaker demand or more selective tenants. Avoid overreading small gaps, since property mix and pricing strategy can also shape the pattern.
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.
TOM versus rent shows whether higher asking prices in Goes tend to move more slowly or whether demand stays resilient across rent tiers. The pattern helps separate broadly liquid segments from price bands that need more time to clear. Read it as a market balance signal, not a direct measure of quality or value.
TOM Vs Rent — Goes isolates one local rental-market measure so its level, direction, and limitations can be examined clearly. A defensible comparison of TOM Vs Rent in Goes keeps observation count aligned with coverage and comparison.
Shows whether higher asking rents in Goes still clear quickly or begin to slow more noticeably.
Helps separate a uniformly liquid market from one where premium segments behave differently.
Useful for judging whether pricing power is matched by tenant demand across rent bands.
Longer listing times at higher rents can signal more selective demand rather than a broad slowdown.
Segment patterns matter more than a single average when the market is split by price tier.
Compare low, mid, and high rent tiers to see where absorption weakens first.
Use the pattern to assess whether pricing up is supported by tenant demand in Goes.
Look for signs of a split market where premium homes need longer exposure.
Interpret longer TOM as a pricing or positioning signal, not only as weaker demand.
Relate rent tiers to market liquidity rather than treating all listings as one pool.
This page documents one indicator. The Goes 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 Goes 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 TOM Vs Rent 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.
Treat TOM Vs Rent in Goes as market evidence only where period, housing mix, and source remain compatible. Review how tom vs rent is calculated for Goes, then compare the same indicator across places without mixing periods, geography levels, units, or coverage.
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 Goes and filter them by price, size and property type.
Search Goes 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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