Live pollen count in Leland, North Carolina today

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

Live Pollen Level

Very high

Leland, North Carolina

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.

Leland, North Carolina allergies right now

Low

Moderate

High

Very high

Tree pollen

1531 ppm

208

704+

Grass pollen

0 ppm

342+

Weed pollen

0 ppm

267+

AQI

Good

Leland, North Carolina

View Air Pollution Levels

Leland, North Carolina

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Track live Leland, North Carolina pollen forecast and history

Pollen Level

Leland

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Pollen sub-species concentrations in Leland, North Carolina

40ppm

Ash

217ppm

Birch

158ppm

Elm

22ppm

Maple

217ppm

Mulberry

647ppm

Oak

27ppm

Pine

0ppm

Ragweed

Leland, North Carolina allergy map: Track pollen near you

Grass

Allergy tips for Leland, North Carolina

As pollen risk levels are

Very high

Keep all windows and doors closed in Leland, North Carolina to prevent pollen from entering your home.
Use a medical-grade face mask like an N95 if you must step outside in Leland, North Carolina.
Consult your doctor for prescription-strength allergy medications or shots in Leland, North Carolina.
Schedule outdoor chores like gardening for a day with lower pollen counts in Leland, North Carolina.
Monitor weather updates in Leland, North Carolina rain can help clear pollen from the air.
Replace air filters in your home and car regularly to maintain clean air in Leland, North Carolina.
Avoid exercising outdoors in Leland, North Carolina as heavy breathing can worsen symptoms.

How accurate is North Carolina, USA pollen data?

Ambee’s pollen data for North Carolina, USA 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.