Thailand Tourism Strategic Analysis Reproducibility Package: An Auditable Dataset of Tourism Indicators, Risk Scores, and Scenario-Warning Matrices, 2011–2024

This dataset provides a reproducibility package for the report Thailand Tourism Strategic Analysis Report, covering Thailand’s international tourism system from 2011 to 2024. The package is designed to support transparent verification, structured reanalysis, and future updating of the report’s core claims, calculations, risk assessment, and scenario-monitoring framework. The dataset contains report-derived reconstructed key indicators, an evidence register, a source ledger, a tourism strategic risk-scoring model, sensitivity-test tables, a scenario-warning matrix, update-trigger indicators, a quality-control log, a metadata dictionary, visual outputs, checksums, and a formal report file. The analytical scope includes international tourist arrivals, tourism revenue, average tourist spending, recovery relative to the 2019 pre-pandemic baseline, source-market concentration, aviation dependency, revenue-quality recovery, public-health or border-control shock pathways, tourism safety and reputation risk, and policy-monitoring triggers. The package uses a ranked evidence logic: official Thai national statistics are treated as primary factual sources; international organisations and financial institutions are used for cross-checking and macroeconomic context; report-derived calculations are used for analytical indicators; and structured expert judgement is used for forward-looking scenario and risk scoring. Key formulas include compound annual growth rate, recovery rate, decline rate, and a composite P-I-V-M risk score based on probability, impact, vulnerability, and mitigation-gap dimensions. This dataset should be understood as a report-level reproducibility and audit package rather than a complete archive of all raw official datasets. Users who require full statistical replication should download the original official source tables listed in the source ledger, archive them with timestamps, and then compare recalculated values against the reconstructed key metrics provided here.