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Live pollen count in Wade Hampton, South Carolina today

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

Live Pollen Level

Moderate

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Wade Hampton, South Carolina

Last updated: ... (Local time)

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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.

Wade Hampton, South Carolina allergies right now

Low

Moderate

High

Very high

Tree pollen

0 ppm

0

95

208

704+

Grass pollen

0 ppm

0

30

61

342+

Weed pollen

78 ppm

0

21

78

267+

AQI

44

Good

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Wade Hampton, South Carolina

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Track live Wade Hampton, South Carolina pollen forecast and history

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Pollen sub-species concentrations in Wade Hampton, South Carolina

0ppm

Ash

0ppm

Birch

0ppm

Elm

0ppm

Maple

0ppm

Mulberry

0ppm

Oak

0ppm

Pine

78ppm

Ragweed


Wade Hampton, South Carolina allergy map: Track pollen near you




Allergy tips for Wade Hampton, South Carolina

As pollen risk levels are

Moderate

  • Keep windows closed while driving in Wade Hampton, South Carolina to avoid pollen infection; use the air conditioner instead.
  • Wash your hands and face frequently throughout the day in Wade Hampton, South Carolina to minimize pollen exposure.
  • Consider wearing a hat or cap outdoors in Wade Hampton, South Carolina to prevent pollen from settling on your hair.
  • Wear sunglasses when in Wade Hampton, South Carolina to protect your eyes from pollen.
  • Start taking preventive allergy medication if you're prone to moderate symptoms in Wade Hampton, South Carolina.
  • Use a HEPA filter in your home's air conditioning system to trap pollen particles in Wade Hampton, South Carolina.

How accurate is South Carolina, USA pollen data?

Ambee’s pollen data for South 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.

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


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