TourismX

Journey Intelligence · Saudi Tourism Authority

ذكاء رحلة الزائر

Planning · التخطيط

Climate Comfort Window Planner

Run #8 · data as of Tue, 18 Aug 2026 07:37:54 GMT · 60 provenanced figures

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Executive commentary — generated from provenanced figures only

EXECUTIVE COMMENTARY: VISITOR COMFORT INDEX ACROSS KEY SAUDI DESTINATIONS

Optimal Visitation Windows Identified

November emerges as the premium month for visitor comfort, with Riyadh and Diriyah both achieving perfect scores of 100.0. Taif reaches this same benchmark in October (100.0), while AlUla peaks in November at 96.7—its highest comfort rating.

Seasonal Patterns Show Sharp Divergence

The data reveals distinct comfort corridors:

  • Winter-Spring advantage: Jeddah performs strongest in February (96.4) and January (93.5), while inland destinations like Riyadh show moderate winter comfort, rising from 51.6 in January to 80.6 by March.
  • Summer collapse: June through September show dramatic declines. Riyadh, Diriyah, and AlUla record 0.0 comfort scores across most summer months (May-September). Jeddah similarly drops to 0.0 from July through October.
  • Taif's extended season: As the sole destination maintaining measurable comfort in summer, Taif registers 80.6 in July and 35.5 in August—highlighting its unique positioning as a seasonal refuge.

Strategic Implications

The concentration of peak comfort scores (96.7-100.0) within the October-November and February-April windows across all major destinations reinforces the critical importance of winter-spring shoulder seasons for tourism operations. Summer months present severe comfort limitations requiring targeted mitigation strategies, with Taif offering the only viable warm-weather alternative among tracked destinations.

Climate comfort window

share of days meeting the declared comfort thresholds

JanFebMarAprMayJunJulAugSepOctNovDecRiyadh5264812000000310077Diriyah26467720000001610068Taif2679719758278136501009748AlUla13114833100003109736Jeddah9496584013700001381
0% comfortable100% comfortable