Twenty-two million listings recast Europe's housing crunch as square metres an average income buys

The interesting decision here is the choice of outcome variable. Most affordability work fixes a dwelling and asks whether a household can pay for it, which imports an argument about where the threshold sits. This group fixed the income instead and solved for area, using 22 million listings assembled by the ESPON HOUSE4ALL project across 30 countries ^[2].

Mechanically, they analysed the relationship between property size and listed price and mapped the result at municipal level, covering both owner-occupied and rented stock ^[9]. So the reported figure is an implied unit, not an observed one. Nothing in the method guarantees that a 48 square metre flat is actually on the market in the municipality where the model says 48 square metres is what the average income reaches.

Two thresholds carry the story, and they are worth reading against each other. Less than 50 square metres for 44% of the urban population ^[3]; up to 75 square metres, on a 30-year mortgage, for more than 70% of the total population ^[4]. The urban ceiling is two thirds of the broader one, roughly a third less floor area ^[1], which is the quantitative form of the authors' point that cities fare worst despite higher incomes, with visible spillovers into neighbouring regions ^[14].

The tenure comparison is smaller than the framing suggests. Nearly half of Europeans on an average income can only afford to buy a studio or one-bedroom equivalent ^[5], while 39% cannot afford to rent one ^[6]. Read "nearly half" as 45 to 50%, and the buy side exceeds the rent side by 6 to 11 percentage points ^[2]. Renting that size is somewhat more within reach than buying it, on these numbers, and not dramatically so.

Now the limits, which the authors state plainly. The prices are approximate listing prices rather than actual sale prices, the municipal grain misses neighbourhood variation, and financial barriers such as down payment requirements are excluded ^[10]. That last one bites directly on the 30-year mortgage figure ^[4], which presumes the deposit is already solved. The list-to-sale gap is the load-bearing assumption in any cross-country ranking: for Portugal, Poland and the Netherlands to sit together among the highly unaffordable ^[8], the distance between asking and closing price has to behave similarly in each, and the study reports no estimate of it. Coverage is uneven too. Twenty-two million listings over 30 countries averages about 733,000 per country ^[3], and no country is average.

On tourism, the maps show coastal and mountain regions less affordable than comparable areas, with second-home owners and short-term renters named as pricing locals out, and the authors offer intervention in those markets as a policy option ^[13]. That is an association between location type and affordable area. It is not an estimate of what short-term letting does to prices, so the recommendation is a hypothesis the map motivates rather than one it tests.

The thing this doesn't tell you is who is actually squeezed. Listing prices are the price of entry, and lead author Franziska Sielker frames the effect as falling hardest on newcomers to the market and people who move often, alongside rural rental supply gaps ^[11]. Co-author Selim Banabak's two-sided framing, cost and income, is the honest read of what a map like this can support ^[12]: it measures the gap, in a region where prices have outrun incomes for over a decade ^[15], without adjudicating which side should move.