Toms River pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in Toms River are low. Grass is the main contributor to airborne pollen

On 17 July 2026, pollen conditions in Toms River will be similar to today, with grass at low levels

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

On 16 July 2026, Grass is the dominant pollen source in Toms River. willow, alder, ambrosia, artemisia, birch, cypress, and oak are not currently active.

Toms River's pollen season opens with maple and birch from late February, followed by oak through April and May. Grass pollen peaks through June and July, with ragweed extending the season into September. The surrounding Ocean County Pine Barrens and coastal plain woodland contribute substantial tree and grass pollen, while the Atlantic coast position means onshore winds can periodically moderate pollen levels across the area.

The Toms River 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 Toms River, 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.