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Two-thirds of all physician office visits are for ear, nose, throat or allergic problems!

Today’s Pollen Count

Pollen Archive

June 2018

Date Cotton
Wood
Elm Fungus Grass Maple Oak
Jun 100546,046800
Jun 200466,7441600
Jun 300164,573000
Jun 40005,8132300
Jun 50000000
Jun 6023314,8061600
Jun 70007,4414600
Jun 800935,038000
Jun 900466,1241600
Jun 1000316,356000
Jun 110008,1391600
Jun 1200466,7442300
Jun 130008,1393100
Jun 140007,5961600
Jun 150000000
Jun 160006,356000
Jun 170000000
Jun 180006,8213100
Jun 1900167,5194600
Jun 200088,1396400
Jun 210007,0541600
Jun 2200317,3641600
Jun 230008,9922300
Jun 240008,139800
Jun 2500168,3720046
Jun 2600237,8290016
Jun 2700166,744000
Jun 2800166,2010160
Jun 290007,131000
Jun 300006,5891600

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NAB: Reading the Charts

aaaai allergy pollen countsThe following Aeroallergen Network calculations are based on the data (per cubic meter) reported by all certified counting stations for trees, grasses, weeds and molds.

  • Median or 50th percentile (half of counts are below this point)
  • 75th percentile (75% of counts are below this point)
  • 99th percentile (99% of counts are below this point)

Based on these calculations, we suggest the following definitions for low, moderate, high and very high concentration levels:

NAB SCALE

* MOLD GRASS TREE WEED
0 Absent 0 Absent 0 Absent 0 Absent
1 – 6499 Low 1 – 4 Low 1 – 14 Low 1 – 9 Low
6500 – 12999 Moderate 5 – 19 Moderate 15 – 89 Moderate 10 – 49 Moderate
13000 – 49999 High 20 – 199 High 90-1499 High 50 – 499 High
>50000 Very High >200 Very High >1500 Very High >500 Very High

 

* These mold levels were determined based on outdoor exposure to natural occurring spores in the environment and should not be applied to indoor exposure which may represent an entirely different spectrum of spore types.

These definitions would allow comparison between sites across the country. They are based on ecological measurements, not health effects. However, assuming dose/response relationships are the same across the country, the definitions are probably more appropriate than a definition based on local numbers. This does mean that, for some stations, some categories will never be high.