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Pollen data for the EU countries

When plants bloom, they produce pollen that is transported by wind or insects to pollinate other plants. Weather conditions such as wind, humidity and temperature play an important role in the distribution of pollen. With the recipe of measured pollen,weather data and advanced machine learning / artificial intelligence algorithms, we can provide you with accurate pollen forecast and helpful health data to minimize health risk.

You can seamlessly integrate our proprietary forecast data into your website, data science projects or other applications. Stay ahead of the pollen and offer our reliable service to your customers.

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High quality pollen forecast

The Pollen Loading Index parameter in our API is a measure of the amount of pollen in the air for up to 7 days in the future.

The index ranges from 0 to 3, where 0 indicates an absence of pollen, 1 indicates a low pollen load, 2 indicates a moderate pollen load, and 3 indicates a high pollen load.

This parameter is calculated by combining various factors such as the type and amount of pollen expected in the air, weather conditions and historical data. Our sophisticated algorithms use advanced data science techniques to provide precise and accurate pollen load index values. Exactly at the zip code level and for the next 7 days.

Did you know that up to 35 pollen species are counted in Germany?

> 35 available pollen types based on pollen measurement stations, including…

… Fir, maple, horse chestnut, alder, ragweed, mugwort, composite, birch, hornbeam, chestnut, goosefoot, hazel, crucifer, sour grass, heather, beech, ash, mold, rennet, Hops, touch-me-not, walnut, larch, spruce, pine, plantain, sycamore, grasses, poplar, oak, holm oak, dock, willow, rye, yew, lime, elm, nettle.

Pollen data for the EU countries

High quality pollen forecast

Did you know that up to 35 pollen species are counted in Germany?

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Easy access to precise weather data