NovAsia
Evidence before conclusion

Cambodia property market data center

You may be comparing prices, rents or construction progress and finding figures that look equally authoritative even though they measure different things. Before drawing a conclusion, check the definition, geography, property type, observation period, publication date and strength of the underlying evidence. A listing price is not a completed transaction, an advertised rent is not net yield, and missing observations do not mean a zero value.

A listing is not a transaction, a claim is not confirmation and missing data is not zero.

Reviewed 24 July 2026

In short

Start with the question the figure is meant to answer. A dated market review is useful for the broad picture; a project record should separate sales, construction, completion and handover; an economic indicator needs its period and data vintage; infrastructure evidence should distinguish an announcement, works in progress and an opening.

Read every indicator with its definition, geography, property type, period, source date and limitations. Do not substitute listings for an unavailable transaction sample or present an advertised rent as verified market yield.

Four dates that must not be mixed

The indicator period states when measurement occurred. The event date records when a project or infrastructure item actually changed. The publication date records when the source disclosed it. The NovAsia review date records when that source was last checked.

A 2025 outcome released later was not available to a market participant at the end of 2025. Likewise, a new article update date does not mean that every field was independently rechecked that day.

Which data layers exist

Official statistics describe population, economy, credit, permits or other administrative indicators under their own definitions. An industry report may provide a sampled estimate of supply, prices or rent. Public project materials represent developer claims and market offers. Partner confirmation may describe availability of a specific unit on a particular date. A NovAsia calculation is produced only from visible inputs.

These layers cannot be combined without labels. A government construction number does not prove completion of a specific building. A consultancy report does not prove the price of a selected apartment. A listing does not prove a transaction. A manager’s confirmation cannot be transferred to another unit or a future date.

How strongly a figure is supported

Keep supported facts, interested-party claims, calculations from visible inputs, conflicts between reliable sources, stale values and unconfirmed fields separate. Every changing field needs a date, source and concise explanation of its limitation.

An unconfirmed value must not be converted into zero, “no” or an average borrowed from neighbouring projects. Where credible sources disagree, show the disagreement rather than selecting the most convenient number.

Asking prices, price lists and transactions

A “from” price may refer to one older, smaller or unavailable unit. A price list can be incomplete, tied to a particular date, mix furnishing packages and omit negotiated discounts. A listing records the seller’s expectation, not an agreed consideration.

Effective price requires discounts, furniture, payment timing, mandatory charges and financing cost. Transaction evidence needs separate support and sufficient comparability by location, property type, size, condition and date.

Project status consists of separate facts

Sales, construction progress, completion, key handover and actual occupation answer different questions. A development may be marketed before operating approval; one tower may function while another phase is under construction; keys may be released before the individual buyer’s right is registered.

Do not rely on one “completed” label. Ask for the exact tower or phase, the criterion used, the review date and the supporting record. A source replacement or routine refresh should not be mistaken for a new project event.

Where evidence is sufficient and where gaps remain

A property decision may require several layers: official statistics, project records, price lists, listings, rent evidence, building operations, title and infrastructure. For each layer, establish the conclusion it can support, the conclusion it cannot support, its time coverage and its unit of observation.

Where a material point is missing, turn it into a precise request to the seller, developer, manager, bank or specialist. An estimate should not conceal the absence of a critical document.

How to read data corrections

A material correction should explain what was previously shown, what changed, when and why, and whether the user’s conclusion is affected. A minor typographical fix that leaves the meaning intact is not the same as a revised indicator.

When comparing releases, check the correction date and reason. If a source has been replaced, determine whether only the reference changed or whether the value, method and conclusion also changed.

How to use downloadable data

A download is useful only with field definitions, a version, extraction date, use terms, treatment of missing values and change history. The ability to export a table does not, by itself, make it a maintained market dataset.

Before calculating, check units, currency, geography, period, duplicate rows and missing fields. Where original-source terms restrict redistribution, use a permitted derivative or consult the source directly.

National Institute of Statistics — official portal

Publisher: National Institute of Statistics, CambodiaChecked 24.07.2026
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How to verify a property construction update

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Economic data methodology

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Cambodia economy and finance

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Economic and property indicator glossary

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Cambodia infrastructure tracker

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Cambodia property market snapshot

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How to compare property price-list versions

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NovAsia project status — sales, construction, completion

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Sources and methodology at NovAsia

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Code of Practice for Statistics

Publisher: UK Statistics AuthorityChecked 24.07.2026
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Data Catalog Vocabulary (DCAT) — Version 3

Publisher: World Wide Web Consortium (W3C)Checked 24.07.2026
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Data Quality Vocabulary

Publisher: World Wide Web Consortium (W3C)Checked 24.07.2026
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PROV-O: The PROV Ontology

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