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Compare Phuket districts, including local road-death rates and source-linked safety context.
Safrom's citywide research estimate is 71/100. Higher scores mean safer on the model's scale. Evidence as of . Confidence: D.
3 areas with estimates. Area evidence as of .
road_deaths_per_100k_person_years_shrunk · 2021-01-01/2024-12-31.
Coverage is Phuket province, all three districts (Mueang Phuket, Kathu including Patong, Thalang). Districts are large administrative areas, not beaches or hotel streets. Road deaths 2021-2024 (Buddhist Era 2564-2567) from the DDC Ministry of Public Health integrated three-database road-death records, assigned by accident district (acc_dist), or, when blank, by accident coordinates inside Phuket district boundaries. Many 2021-2023 Phuket records lack any accident location and are excluded (counts in provenance facts), so absolute rates are understated; only relative district rates are used. Denominator: WorldPop R2025A constrained 2024 population (100 m model estimate, includes non-registered residents but not short-stay tourists) summed in each district; four-year person-years. Rates per 100,000 per year are shrunk toward the Phuket rate with a Gamma-Poisson prior of 10 deaths. Only mobility varies locally; the citywide estimate and other dimensions use Thailand national research priors. No clearly licensed district flood-hazard layer was found for Phuket (JRC global maps exclude small islands; the Phuket DDPM 2025 village flood-event list is a single-year event log, not a hazard map), so disaster_and_environment keeps the national prior. Sources: Department of Disease Control, Ministry of Public Health, integrated road-death data (dataset 26), CC BY-SA; this derived district layer is shared under CC BY-SA 4.0. WorldPop (Bondarenko et al. 2025, DOI 10.5258/SOTON/WP00839), CC BY 4.0. Safrom computed rates and scores. No endorsement. District boundaries: geoBoundaries gbOpen THA ADM2 (Royal Thai Survey Department, OCHA ROAP; boundary year 2019), CC BY 3.0 IGO, generalized 20 m with less than 0.5% area change.
Download the scored safety layer and calculation evidence (GeoJSON)
Coverage is Phuket province, all three districts (Mueang Phuket, Kathu including Patong, Thalang). Districts are large administrative areas, not beaches or hotel streets. Road deaths 2021-2024 (Buddhist Era 2564-2567) from the DDC Ministry of Public Health integrated three-database road-death records, assigned by accident district (acc_dist), or, when blank, by accident coordinates inside Phuket district boundaries. Many 2021-2023 Phuket records lack any accident location and are excluded (counts in provenance facts), so absolute rates are understated; only relative district rates are used. Denominator: WorldPop R2025A constrained 2024 population (100 m model estimate, includes non-registered residents but not short-stay tourists) summed in each district; four-year person-years. Rates per 100,000 per year are shrunk toward the Phuket rate with a Gamma-Poisson prior of 10 deaths. Only mobility varies locally; the citywide estimate and other dimensions use Thailand national research priors. No clearly licensed district flood-hazard layer was found for Phuket (JRC global maps exclude small islands; the Phuket DDPM 2025 village flood-event list is a single-year event log, not a hazard map), so disaster_and_environment keeps the national prior. Sources: Department of Disease Control, Ministry of Public Health, integrated road-death data (dataset 26), CC BY-SA; this derived district layer is shared under CC BY-SA 4.0. WorldPop (Bondarenko et al. 2025, DOI 10.5258/SOTON/WP00839), CC BY 4.0. Safrom computed rates and scores. No endorsement. District boundaries: geoBoundaries gbOpen THA ADM2 (Royal Thai Survey Department, OCHA ROAP; boundary year 2019), CC BY 3.0 IGO, generalized 20 m with less than 0.5% area change.
Boundaries: geoBoundaries / Royal Thai Survey Department / OCHA ROAP · Phuket districts (geoBoundaries THA ADM2) (CC BY 3.0 IGO; https://data.humdata.org/dataset/cod-ab-tha).
Coverage is Phuket province, all three districts (Mueang Phuket, Kathu including Patong, Thalang). Districts are large administrative areas, not beaches or hotel streets. Road deaths 2021-2024 (Buddhist Era 2564-2567) from the DDC Ministry of Public Health integrated three-database road-death records, assigned by accident district (acc_dist), or, when blank, by accident coordinates inside Phuket district boundaries. Many 2021-2023 Phuket records lack any accident location and are excluded (counts in provenance facts), so absolute rates are understated; only relative district rates are used. Denominator: WorldPop R2025A constrained 2024 population (100 m model estimate, includes non-registered residents but not short-stay tourists) summed in each district; four-year person-years. Rates per 100,000 per year are shrunk toward the Phuket rate with a Gamma-Poisson prior of 10 deaths. Only mobility varies locally; the citywide estimate and other dimensions use Thailand national research priors. No clearly licensed district flood-hazard layer was found for Phuket (JRC global maps exclude small islands; the Phuket DDPM 2025 village flood-event list is a single-year event log, not a hazard map), so disaster_and_environment keeps the national prior. Sources: Department of Disease Control, Ministry of Public Health, integrated road-death data (dataset 26), CC BY-SA; this derived district layer is shared under CC BY-SA 4.0. WorldPop (Bondarenko et al. 2025, DOI 10.5258/SOTON/WP00839), CC BY 4.0. Safrom computed rates and scores. No endorsement. District boundaries: geoBoundaries gbOpen THA ADM2 (Royal Thai Survey Department, OCHA ROAP; boundary year 2019), CC BY 3.0 IGO, generalized 20 m with less than 0.5% area change.
alerts are not long-term baseline risk; event footprint may not equal traveler exposure; alert severity cannot be copied directly into Safrom score
country-level only; humanitarian risk framing differs from traveler exposure; composite inputs can overlap Safrom dimensions; current event conditions require separate signals
country-level only; reporting and justice-system differences; latest year differs by country; not traveler-specific
country-level only; availability does not measure emergency accessibility; latest year differs by country; distribution within a country is hidden
country-level only; collection is not annual for every country; some values are modeled estimates; resident exposure differs from traveler exposure
most statistics remain country-level; U.S.-traveler perspective; advisory level is not an absolute safety score; Bangkok conditions differ from border and southern-province warnings
country-level only; modeled perceptions rather than traveler incidents; cannot represent neighborhood variation or current events; confidence intervals must not be discarded
Road deaths 2021-2024 (Buddhist Era 2564-2567) from the DDC Ministry of Public Health integrated three-database road-death records, assigned by accident district (acc_dist), or, when blank, by accident coordinates inside Phuket district boundaries. Many 2021-2023 Phuket records lack any accident location and are excluded (counts in provenance facts), so absolute rates are understated; only relative district rates are used.; Denominator: WorldPop R2025A constrained 2024 population (100 m model estimate, includes non-registered residents but not short-stay tourists) summed in each district; four-year person-years. Rates per 100,000 per year are shrunk toward the Phuket rate with a Gamma-Poisson prior of 10 deaths.; Sources: Department of Disease Control, Ministry of Public Health, integrated road-death data (dataset 26), CC BY-SA; this derived district layer is shared under CC BY-SA 4.0. WorldPop (Bondarenko et al. 2025, DOI 10.5258/SOTON/WP00839), CC BY 4.0. Safrom computed rates and scores. No endorsement.
Denominator: WorldPop R2025A constrained 2024 population (100 m model estimate, includes non-registered residents but not short-stay tourists) summed in each district; four-year person-years. Rates per 100,000 per year are shrunk toward the Phuket rate with a Gamma-Poisson prior of 10 deaths.