How GeoRisk ratings are built

GeoRisk rates the inherent risk of entering a market from the perspective of an Australian business. It deliberately measures what could hurt you once you are in — not how attractive the market is. Attractiveness signals (innovation ranks, FDI inflows, trade agreements) are shown as context, never scored.

Ratings are computed from a frozen, versioned snapshot of public datasets. Nothing is fetched live: a rating can be reproduced exactly from its snapshot, and every indicator displays the reference year of its underlying observation.

Categories and weights

Normalisation

Continuous indicators are direction-aligned (higher always means riskier) and converted to percentile ranks across the countries the source actually covers. Where risk is absolute rather than relative, percentiles give way to fixed threshold bands: the macro indicators are scored on economically anchored bands (GDP growth on a bathtub curve, inflation against the relevant central-bank norm, IMF-style debt and reserve thresholds), income-group-conditional where debt capacity and convergence dynamics differ. The World Cybercrime Index is banded on absolute level for a different reason: most countries were never nominated by any expert, and percentile-ranking that zero-heavy distribution would rate a near-zero originator as a hotspot. Ordinal scales — the OECD country risk classification, DFAT advisory levels, FATF listings, treaty flags — map to fixed, versioned anchor scores: percentile-ranking a four-level scale manufactures precision that isn’t there. Sparse, rich-country-skewed sources (the OECD FDI restrictiveness index) are shrunk toward the midpoint in proportion to coverage so their percentiles don’t overstate.

Coverage floors — no silent guesses

A category is scored only when at least 60% of its design weight and two distinct indicators are present; an overall rating requires at least five of the seven weighted categories and 70% total coverage. Below the floors we show Insufficient data rather than renormalising our way to a confident-looking number — missing data is concentrated in exactly the fragile and micro-states where a fabricated score would be most misleading. We never impute from regional averages.

Bands

The overall score is re-ranked across all scored countries and cut into quartiles: Low (least-risky quarter), Medium, High, and Very High(riskiest quarter). Bands are relative to the world as it is in this snapshot — the honest reading of “how risky is this market compared to my alternatives right now.” Ratings only change at snapshot boundaries.

The sanctions & advisory gate

Sanctions are not a weighted input — averaging would dilute them to irrelevance. They override, assessed through three lenses. Australian frameworks: a comprehensive-style Australian sanctions framework (Russia, Iran, North Korea, Syria, Myanmar) or a FATF call-for-action with counter-measures forces Very High; targeted country frameworks floor the band at High. US/EU secondary sanctions: extraterritorial programs (CAATSA, Helms-Burton, Iran secondary programs) bind an Australian company regardless of Australian law — severe exposure floors the band at High. Banking access: even where every law permits a transaction, correspondent banks may refuse to move the money — severed access (USD clearing effectively unavailable) floors the band at High, while constrained access is disclosed without moving the band. All three lenses appear on the country page with reasons, DFAT’s “Do not travel” advice still floors at High, and the computed score stays visible alongside any override so the audit trail shows both. FATF listing remains a separately scored indicator: AML-driven banking friction is gradual, sanctions-driven exclusion is not.

The Australia comparison

Every score can be compared to Australia’s from the same snapshot. The delta is display-only — baking “relative to Australia” into the rating itself would make it unexplainable. Where Australia has no baseline for an input (DFAT does not issue advice for Australia), the comparison is suppressed rather than fudged.

What we deliberately left out

Unemployment is displayed but unscored (direction-ambiguous for an entrant; headline rates are misleading where informal employment dominates). Several well-known indices — the Global Terrorism Index, Global Peace Index, Gallup Law & Order, ITU cybersecurity, CCPI, the SDG Index, Hofstede culture scores — are excluded because their licences prohibit commercial reuse, and in most cases they also double-count constructs already scored. Cultural distance is scored and displayed but deliberately excluded from the overall rating: cultural difference changes how you operate in a market, not whether the market can hurt you.

Sources, licences, and attribution

Data has been materially transformed (percentile ranks, threshold bands, anchor mappings, weighted composites); source organisations bear no responsibility for the derived ratings and do not endorse this product. Content from the Smartraveller website is attributed to the Department of Foreign Affairs and Trade’s Smartraveller website — www.smartraveller.gov.au. World Bank data: CC BY 4.0. IMF data: World Economic Outlook and Exchange Rates datasets, used under the IMF’s statistical-data terms. OECD data used with citation per OECD terms; any reuse of work built on OECD data must carry the same acknowledgment. ND-GAIN: University of Notre Dame Global Adaptation Initiative (CC BY 3.0). INFORM Risk Index: European Commission Joint Research Centre (CC BY 4.0). Capital-account openness: Chinn & Ito (2006), Journal of Development Economics 81(1), 163–192.

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