Real-estate markets do not come with one universal geographic unit. Statistics may be published for municipalities, metropolitan areas, administrative regions, territories, city-states or entire countries. The chosen boundary changes the observations that enter the measure.
A metropolitan area can include suburban municipalities that a core-city series excludes. A territory-wide index can blend submarkets with very different price levels. A national interest rate can provide financing context without becoming a local property-market observation.
Labels can hide different boundaries
“Paris,” “Dubai,” “Hong Kong,” “Singapore,” and “Montréal” can each refer to several geographic concepts depending on the dataset. SAID therefore stores and displays the source geography rather than relying on the familiar market name alone.
Boundary mismatch
Comparisons become approximate when two measures use materially different geographic structures. Normalizing currencies or rebasing an index does not solve a boundary mismatch. The underlying observations were collected from different spatial universes.
Local and national context
Some indicators are inherently national: central-bank policy rates, national regulation, macroeconomic measures. They can be relevant to a local market without being local measurements. Keeping the distinction visible prevents contextual indicators from being mistaken for direct local evidence.
When comparison is still useful
Different boundaries do not make comparison impossible. They change the claim that can be made. Directional movement across broadly comparable urban markets may still be informative when the mismatch is disclosed. Precise level comparisons require stronger equivalence.
The correct question is not “Do these places have the same label?” It is “Do these observations describe spatial units similar enough for the intended comparison?”