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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

February 2019

Date Ash Elm Fungus Juniper Maple Mountain
Cedar
Feb 10163,4100062
Feb 20163,178000
Feb 3003,643000
Feb 4003,798000
Feb 50314,341000
Feb 60463,9530031
Feb 716622,9450160
Feb 80163,488000
Feb 9002,403000
Feb 10002,403000
Feb 11003,410000
Feb 1201244,80610800
Feb 13161162,2483100
Feb 1401554,3416200
Feb 150936,201387160
Feb 1601704,8064200
Feb 170773,5653100
Feb 180933,9532300
Feb 190771,8609300
Feb 200623,1783100
Feb 210462,8683100
Feb 220163,2551600
Feb 23000000
Feb 24000000
Feb 2501245,2719300
Feb 260773,64310800
Feb 2716623,9534600
Feb 280313,2552300

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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.