Rincón de la Victoria pollen forecast - today, tomorrow and the week ahead

On 25 June 2026, overall pollen levels in Rincón de la Victoria are moderate. Grass is the main contributor to airborne pollen

On 26 June 2026, pollen conditions in Rincón de la Victoria will be different from today, with grass increasing

According to the five-day outlook, grass pollen levels will increase later in the week.

On 25 June 2026, Grass is the dominant pollen source in Rincón de la Victoria. alder, birch, hazel, cypress, and willow are not currently active.

Rincón de la Victoria's Mediterranean coastal resort setting produces a season opening with olive, cypress, and pine in January, with cypress contributing through spring, before grass from surrounding Málaga farmland peaks through April and May. Mugwort and nettle extend exposure into September, while Mediterranean onshore winds can periodically disperse pollen across this growing Málaga coastal suburb.

The Rincón de la Victoria pollen forecast is updated four times daily. See the timestamp below for the most recent update.

Studies show that most pollen exposure (often 70–90%) comes from nearby sources, such as local trees and vegetation. A good pollen forecast therefore depends on accurately representing local vegetation. Pollen can travel long distances, but this usually matters only early in the season or during specific wind events.

Pollen data is often misunderstood. Most "pollen levels" are not real-time measurements, but forecasts.

Direct pollen measurements are typically delayed by 1-2 days because they require manual analysis. To show current conditions in Rincón de la Victoria, modern forecasts combine recent measurements, weather data, and information about local vegetation.

This allows us to estimate pollen levels for today and the coming days, not just report the past.

Airmine’s atmospheric monitoring platform was developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team, using satellite and Earth observation technologies to improve emissions monitoring.