Live pollen count in Haverhill, Suffolk today

Stay updated with real-time pollen levels in Haverhill, Suffolk. Use our interactive maps and forecasts to manage allergies and confidently plan outdoor activities.

Live Pollen Level

High

Haverhill, Suffolk

Last updated: ... (Local time)

Disclaimer: The information provided is for informational purposes only and should not be considered medical advice. Always consult a healthcare professional for allergy-related concerns.

Haverhill, Suffolk allergies right now

Low

Moderate

High

Very high

Tree pollen

237 ppm

208

704+

Grass pollen

31 ppm

342+

Weed pollen

1 ppm

267+

AQI

Good

Haverhill, Suffolk

View Air Pollution Levels

Haverhill, Suffolk

Scroll To Live Pollen Map

Track live Haverhill, Suffolk pollen forecast and history

Pollen Level

Haverhill

Supercharge your business with reliable pollen data now

Pollen sub-species concentrations in Haverhill, Suffolk

41ppm

Birch

0ppm

Cypress

0ppm

Elm

63ppm

Oak

101ppm

Pine

0ppm

Ragweed

Haverhill, Suffolk allergy map: Track pollen near you

Grass

Allergy tips for Haverhill, Suffolk

As pollen risk levels are

High

Shower and change clothes immediately after coming indoors in Haverhill, Suffolk to remove pollen from your skin and clothing.
Avoid drying your clothes or bedding outside in Haverhill, Suffolk now, as pollen can easily stick on fabric.
Keep pets clean and groomed in Haverhill, Suffolk as they can carry pollen indoors.
Wear a mask or respirator while doing outdoor chores like gardening or lawn mowing in Haverhill, Suffolk.
Use portable air purifiers indoors in Haverhill, Suffolk to reduce airborne pollen.
Regularly vacuum carpets and upholstery in Haverhill, Suffolk using a vacuum with a HEPA filter.
Drink plenty of water to stay hydrated and avoid allergy symptoms in Haverhill, Suffolk.

How accurate is Suffolk, UK pollen data?

Ambee’s pollen data for Suffolk, UK follows National Allergy Bureau (NAB) standards, offering accurate, real-time updates with clear allergy risk levels. Our approach, using machine learning and historical trends, ensures precise, hyper-local pollen forecasts to support allergy management.

Disclaimer: While we strive for accuracy, individual responses to allergens may vary. Always consult a healthcare provider for personal advice.