All features

Weather-Aware Seasonality

Not every destination peaks in summer. Each of our 700+ destinations has month-by-month attractiveness data reflecting real weather patterns — monsoons, dry seasons, extreme heat, typhoons, and polar winters.

Demand follows the weather

Bali empties during monsoon season (November–March). Innsbruck fills up when snow falls (December–March). Barcelona's beaches peak in summer. Our model assigns each destination a set of "peak months" and computes an attractiveness factor that drives the crowdedness score up or down throughout the year.

Monthly Attractiveness (% of peak demand)

0%25%50%75%100%JanFebMarAprMayJunJulAugSepOctNovDecBaliInnsbruckBarcelona

The attractiveness model

Each destination's peak months are defined based on real climate data. The model then applies three tiers of demand:

100%

Peak Months

Full demand during the best weather window

25%

Shoulder Months

Reduced demand in months adjacent to peak

5%

Off-Season

Minimal demand during adverse weather

Key insight

This 3-tier model means a beach destination like Barcelona sees a 20x demand swing between July (100%) and January (5%). This directly affects the crowdedness score — the same destination can go from "Packed" to "Quiet" depending on the month.

Real-world weather patterns we model

Monsoon seasonsBali, Thailand, India — heavy rains suppress tourism Nov–Mar or Jun–Sep
Extreme heatDubai, Rajasthan, Atacama — summer temperatures make outdoor activities impossible
Snow seasonsAlps, Hokkaido, Banff — ski resorts peak when snowfall is guaranteed
Cyclone/typhoon riskCaribbean, Philippines, Fiji — storm seasons drive visitors away
Polar wintersScandinavia, Iceland, Patagonia — extreme cold and short days limit access

See it in action

Explore 700+ destinations on the interactive map

Open the Map