SAMPLE Global Pollen Data - Historical | Real-Time | Forecast | Climatology

Ambee’s global pollen dataset provides precision-level environmental intelligence on allergenic activity, built for real-world decision systems across healthcare, consumer health, retail, and analytics platforms.
The dataset is powered by a blend of environmental signals and proprietary modeling techniques, designed to reflect real-world conditions with high spatial and temporal accuracy. Pollen outputs are available at both category level (tree, grass, weed) and species level, with hourly updates and validated forecast windows extending up to 30 days in advance. Every forecast is benchmarked against seasonal cycles and adjusted by geography for local accuracy.
Ambee maintains a pristine historical pollen archive spanning more than a decade, supporting long-term analysis, demand modeling, and climate-aware planning. All data is spatially and temporally complete, queryable at lat-lon resolution or mapped to ZIP codes, postcodes, DMAs, and custom geographies.
Core variables include:
• Pollen count and risk by species
• Category-level breakdowns: tree, grass, weed
• Hourly and daily forecast feeds
• Historical pollen records spanning multiple decades

Built for integration into platforms where environmental triggers impact behavior, outcomes, or demand, Ambee’s pollen data supports everything from personalized digital health recommendations to allergy season inventory forecasting.