A benchmark is only as good as the set behind it. This page explains how to compare apartment rental prices in Vietnam properly: what makes a listing comparable, which numbers actually help, and which popular ones mislead.
An average collapses a whole market into one number and hides its shape. A benchmark you can act on is a range built from comparable listings — same area, same type, same size band, observed recently — plus the sample size that produced it.
The middle band of the comparable set (25th–75th percentile); the count of comparables behind it; the date the newest observation was made; and price per square metre when sizes differ. The numbers that mislead: a single citywide average; a 'median' with no sample shown; year-on-year percentages computed from thin or mismatched samples; and any figure that cannot say when it was last refreshed.
Flat A: 12,000,000 ₫ for 50 m² = 240,000 ₫/m². Flat B: 14,000,000 ₫ for 75 m² = 187,000 ₫/m². Flat B costs more per month and less per square metre. Which is better depends on the space you need — but the benchmark must be computed on the same basis for both, or the comparison is meaningless.
Illustrative example — not observed market data. RentScope publishes observed figures only inside the app, and only where its publication gates pass. See the methodology.
Listings are normalised, duplicates merged, quality-checked and canonicalised so the same flat posted three times counts once. Only eligible observations from the last 7 days enter a statistic. Comparables are drawn from the same area within a ±25% area band and a 45-day window, and the result is suppressed when the sample is too thin rather than weakened into a guess.
A reference range built from listings that are genuinely comparable to the one you are evaluating, with a visible sample size and observation date — not a single citywide average.
A median is not pulled around by a handful of unusually expensive or cheap listings, so it describes the middle of the market more honestly. It is still only as good as the set it is computed from.
Enough to describe a range rather than one point: as a rule, at least several listings for a rough read and a few dozen before you trust a percentile band. RentScope suppresses statistics below its minimum sample thresholds instead of showing them.
Percentile bands, sample minimums and the ±25% area band are the product's real rules, not illustrations of them. Observed benchmarks with their sample sizes and confidence labels are published inside the app per area, property type and bedroom count, and only when the publication gates pass.
RentScope reports observed asking rents from public rental listings. They are not
signed-lease prices, valuations or investment advice, and no figure on this page is a market statistic.
Current observed statistics are published only inside the product, and only when the sample, confidence,
freshness, quality, coverage, methodology and source-control gates all pass. Methodology versions:
fair rent fairrent-1.2.0, comparables comparables-1.0.0,
market analytics analytics-1.0.0, Deal Score dealscore-1.1.0.
Coverage today: Ho Chi Minh City only. See the full methodology, coverage and
limitations.
Build a benchmark from observed listings in your area — free for 3 days.