haio Research

haio Research produces the editorial articles on haio News and the charts and market read-outs you see across haio. Our job is narrow and specific: turn official Singapore property data into plain-language analysis you can check for yourself.

We publish under the haio Research name rather than an individual byline. The work is a desk effort built on public records, and we would rather stand behind it as an organisation than attach a single person’s name to numbers that anyone can reproduce from the same sources.

Every figure we publish comes from official Singapore government sources — not from hearsay, agent listings, or recycled news. Our editorial engine only ever analyses primary government releases. The core datasets are:

• URA — private residential transactions (caveats), price indices, and Government Land Sales.
• HDB via data.gov.sg — the full HDB resale transaction record.
• data.gov.sg and other official agency releases (e.g. IRAS, MAS/SORA) where an article’s claim needs them.
• REALIS — URA’s paid property information service, which supplies the unmasked unit number on a private sale and the house number on a landed sale. Official URA data, but subscription-only rather than free to download.

Each article cites the specific release it is based on. Most of what we publish you can go and check yourself against the free government sources. The exception is worth naming: anything resting on a unit number or a landed house number comes from REALIS, which is not a free download, so you can hold us to that figure but you cannot rebuild it from data.gov.sg. For the full data-source table, refresh dates, and how comparables and estimates are derived, see our methodology.

An article starts from a specific official release — a URA quarter, an HDB resale update, a GLS award. We pull the underlying transactions from that source, build the supporting charts on the same public data, and write the analysis around what the data actually shows.

Where the evidence is thin, we say so — we widen the range, lower our confidence, or decline to draw a conclusion rather than manufacture a precise-looking number. A clearly-hedged read is the work being honest, not the work failing.

haio Research reports on public data; it is not a formal valuation, an appraisal, or financial advice, and it is not a substitute for a licensed valuer or your own due diligence. We do not claim credentials, awards, or insider data we do not have — the strength of the analysis is that it rests on sources you can open yourself.