METHODOLOGY

How Forecast.travel builds trust.

Every score has a source. Every source has a date. Every uncertainty has a label.

01 · DATA SOURCES

Safety scoresUS State DeptGov advisoryWeekly40%
Safety scoresUK FCDOGov advisoryWeekly30%
Safety scoresOSACNGO/GovMonthly20%
Health dataCDCGovernmentWeekly100%
WeatherOpen-MeteoLive API6-hourly100%
Crowd dataHistoricalSeasonal modelAnnual100%
Budget dataTraveler reportsUser generatedOngoing80%

02 · CONFIDENCE METHODOLOGY

Certainty must be earned.

HIGH (>85%): Multiple consistent, recently updated sources. N > 100.

MEDIUM (60–85%): Partial data, conflict, or data older than 90 days.

LOW (<60%): Limited sources, old data, or active conflict.

Confidence: 54% — limited recent data CALCULATED

03 · SOURCE CLASSIFICATIONS

LIVE DATAReal-time API feed. Verified and source-attributed.

CALCULATEDComposite score derived deterministically from inputs.

SEASONALHistorical pattern from prior years.

AI PREDICTIONGenerated by a model. Treat as guidance.

USER GENERATEDSubmitted by travelers. Upload date verified only.

04 · WHAT WE DON’T DO

No affiliate or commission relationships

No paid placements or sponsored destination content

No incentivized or fake reviews

No fabricated confidence scores

We never pick the optimistic source to resolve a conflict

05 · CONTRADICTIONS

When sources conflict, both are shown. You decide.

LIVE DATA Government advisory: normal precautions nationally.

USER GENERATED Traveler reports: increased petty theft in one district.