What is the current concentration of PM10 in Warminster, Pennsylvania?

The current PM10 concentration at Warminster, Pennsylvania is 17.51 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Warminster, Pennsylvania?

The current sulfur dioxide (SO2) concentration at Warminster, Pennsylvania is 0.21 ppb.

What is the current concentration of ozone (O3) in Warminster, Pennsylvania?

The current ozone (O3) concentration at Warminster, Pennsylvania is 20.872 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Warminster, Pennsylvania?

The current nitrogen dioxide (NO2) concentration at Warminster, Pennsylvania is 6.066 ppb.

Warminster, Pennsylvania live air quality index now

Q: What is the current concentration of PM2.5 in Warminster, Pennsylvania?

The current PM2.5 concentration at Warminster, Pennsylvania is 3.672 μg/m3.

Stay updated with real-time air quality in Warminster, Pennsylvania featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

Warminster, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Warminster, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.24 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

16.80 μg/m³

155

255

425

605+

Ozone (O₃)

27.78 ppb

201

201+

Sulfur Dioxide (SO₂)

0.29 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.80 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.13 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Warminster, Pennsylvania

Get Live Pollen Counts

Warminster, Pennsylvania

Scroll To Air Quality Map

Track live Warminster, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T19:00:00.000Z	29 \| good	3.983 \| good	16.483 \| good	31.347 \| good	0.411 \| good	7.152 \| good	0.237 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.677 \| good	12.611 \| good	36.696 \| good	0.323 \| good	6.945 \| good	0.237 \| good
2025-10-21T21:00:00.000Z	37 \| good	2.693 \| good	12.213 \| good	40.042 \| good	0.31 \| good	6.843 \| good	0.271 \| good
2025-10-21T22:00:00.000Z	35 \| good	4.559 \| good	19.663 \| good	37.661 \| good	0.369 \| good	8.798 \| good	0.271 \| good
2025-10-21T23:00:00.000Z	33 \| good	5.928 \| good	20.798 \| good	28.194 \| good	0.377 \| good	12.556 \| good	0.299 \| good
2025-10-22T00:00:00.000Z	31 \| good	5.38 \| good	22.246 \| good	34.206 \| good	0.373 \| good	8.6 \| good	0.335 \| good
2025-10-22T01:00:00.000Z	38 \| good	6.934 \| good	25.605 \| good	26.948 \| good	0.421 \| good	11.804 \| good	0.335 \| good
2025-10-22T02:00:00.000Z	35 \| good	3.718 \| good	17.663 \| good	38.212 \| good	0.294 \| good	11.922 \| good	0.306 \| good
2025-10-22T03:00:00.000Z	49 \| good	8.756 \| good	38.253 \| good	33.795 \| good	1.978 \| good	7.981 \| good	0.179 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.108 \| good	26.693 \| good	33.82 \| good	0.36 \| good	11.196 \| good	0.314 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.023 \| good	32.807 \| good	30.112 \| good	0.354 \| good	7.761 \| good	0.262 \| good
2025-10-22T06:00:00.000Z	38 \| good	7.246 \| good	30.38 \| good	26.76 \| good	0.299 \| good	10.327 \| good	0.262 \| good
2025-10-22T07:00:00.000Z	44 \| good	7.76 \| good	26.463 \| good	24.989 \| good	0.298 \| good	15.155 \| good	0.262 \| good
2025-10-22T08:00:00.000Z	44 \| good	7.566 \| good	27.865 \| good	24.618 \| good	0.301 \| good	8.975 \| good	0.115 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.891 \| good	38.96 \| good	21.199 \| good	0.296 \| good	8.298 \| good	0.262 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.948 \| good	32.627 \| good	17.399 \| good	0.33 \| good	11.763 \| good	0.285 \| good
2025-10-22T11:00:00.000Z	49 \| good	9.457 \| good	34.498 \| good	19.101 \| good	0.152 \| good	12.478 \| good	0.285 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	9.79 \| good	46.367 \| good	18.185 \| good	0.187 \| good	9.514 \| good	0.309 \| good
2025-10-22T13:00:00.000Z	44 \| good	8.26 \| good	39.107 \| good	21.223 \| good	0.187 \| good	10.459 \| good	0.345 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.771 \| good	32.723 \| good	24.784 \| good	0.365 \| good	6.784 \| good	0.279 \| good
2025-10-22T15:00:00.000Z	33 \| good	6.403 \| good	24.053 \| good	23.731 \| good	0.39 \| good	6.917 \| good	0.279 \| good
2025-10-22T16:00:00.000Z	25 \| good	3.93 \| good	19.839 \| good	27.409 \| good	0.292 \| good	5.074 \| good	0.262 \| good
2025-10-22T17:00:00.000Z	27 \| good	4.9 \| good	11.639 \| good	26.327 \| good	0.322 \| good	3.916 \| good	0.234 \| good
2025-10-22T18:00:00.000Z	27 \| good	2.969 \| good	13.443 \| good	29.233 \| good	0.246 \| good	3.642 \| good	0.192 \| good
2025-10-22T19:00:00.000Z	27 \| good	2.756 \| good	10.116 \| good	28.948 \| good	0.242 \| good	3.075 \| good	0.192 \| good
2025-10-22T20:00:00.000Z	25 \| good	3.532 \| good	15.781 \| good	27.25 \| good	0.273 \| good	4.385 \| good	0.239 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.55 \| good	16.453 \| good	30.179 \| good	0.236 \| good	5.114 \| good	0.204 \| good
2025-10-22T22:00:00.000Z	28 \| good	3.711 \| good	15.631 \| good	29.707 \| good	0.242 \| good	4.166 \| good	0.204 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.791 \| good	15.201 \| good	29.237 \| good	0.241 \| good	5.336 \| good	0.239 \| good
2025-10-23T00:00:00.000Z	24 \| good	4.21 \| good	18.392 \| good	26.061 \| good	0.264 \| good	7.389 \| good	0.264 \| good
2025-10-23T01:00:00.000Z	24 \| good	4.229 \| good	16.941 \| good	25.545 \| good	0.643 \| good	7.654 \| good	0.273 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.51 \| good	21.413 \| good	21.686 \| good	0.264 \| good	6.069 \| good	0.273 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.513 \| good	22.439 \| good	22.671 \| good	0.231 \| good	12.965 \| good	0.198 \| good
2025-10-23T04:00:00.000Z	22 \| good	4.039 \| good	19.304 \| good	22.83 \| good	0.224 \| good	13.618 \| good	0.198 \| good
2025-10-23T05:00:00.000Z	23 \| good	3.997 \| good	17.986 \| good	25.443 \| good	0.194 \| good	7.961 \| good	0.204 \| good
2025-10-23T06:00:00.000Z	23 \| good	4.308 \| good	20.433 \| good	25.312 \| good	0.232 \| good	8.123 \| good	0.199 \| good
2025-10-23T07:00:00.000Z	22 \| good	3.755 \| good	15.623 \| good	22.54 \| good	0.323 \| good	7.956 \| good	0.199 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.672 \| good	17.51 \| good	20.872 \| good	0.21 \| good	6.066 \| good	0.199 \| good
2025-10-23T09:00:00.000Z	22 \| good	3.995 \| good	14.715 \| good	17.179 \| good	0.496 \| good	6.446 \| good	0.199 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.651 \| good	15.808 \| good	17.964 \| good	0.277 \| good	7.681 \| good	0.205 \| good
2025-10-23T11:00:00.000Z	22 \| good	4.072 \| good	20.177 \| good	20.093 \| good	0.408 \| good	8.244 \| good	0.251 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.441 \| good	22.86 \| good	13.397 \| good	0.438 \| good	12.976 \| good	0.283 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.067 \| good	23.055 \| good	15.698 \| good	0.433 \| good	11.673 \| good	0.317 \| good
2025-10-23T14:00:00.000Z	22 \| good	4.287 \| good	17.174 \| good	19.165 \| good	0.411 \| good	9.55 \| good	0.332 \| good
2025-10-23T15:00:00.000Z	27 \| good	5.058 \| good	23.779 \| good	22.662 \| good	0.349 \| good	3.95 \| good	0.209 \| good
2025-10-23T16:00:00.000Z	27 \| good	4.608 \| good	17.915 \| good	23.252 \| good	0.373 \| good	4.877 \| good	0.239 \| good
2025-10-23T17:00:00.000Z	23 \| good	3.824 \| good	16.569 \| good	25.053 \| good	0.248 \| good	4.313 \| good	0.215 \| good
2025-10-23T18:00:00.000Z	26 \| good	3.244 \| good	16.801 \| good	27.777 \| good	0.287 \| good	3.801 \| good	0.126 \| good
2025-10-23T18:00:00.000Z	26 \| good	3.244 \| good	16.801 \| good	27.777 \| good	0.287 \| good	3.801 \| good	0.126 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.12 \| good	27.178 \| good	19.305 \| good	2.3 \| good	5.114 \| good	0.151 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.825 \| good	25.337 \| good	16.888 \| good	2.319 \| good	5.924 \| good	0.158 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.585 \| good	23.996 \| good	16.395 \| good	2.338 \| good	6.735 \| good	0.166 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.488 \| good	23.439 \| good	20.052 \| good	2.356 \| good	7.546 \| good	0.174 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.268 \| good	23.004 \| good	23.113 \| good	2.367 \| good	6.208 \| good	0.167 \| good
2025-10-23T14:00:00.000Z	26 \| good	3.71 \| good	16.283 \| good	27.889 \| good	2.378 \| good	4.87 \| good	0.16 \| good
2025-10-23T15:00:00.000Z	28 \| good	2.878 \| good	11.99 \| good	29.542 \| good	2.388 \| good	3.532 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	28 \| good	2.818 \| good	11.769 \| good	30.199 \| good	2.114 \| good	3.226 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	29 \| good	3.14 \| good	13.744 \| good	30.511 \| good	1.839 \| good	2.921 \| good	0.146 \| good
2025-10-23T18:00:00.000Z	28 \| good	3.126 \| good	13.615 \| good	29.901 \| good	1.565 \| good	2.615 \| good	0.142 \| good
2025-10-23T19:00:00.000Z	27 \| good	2.765 \| good	11.044 \| good	29.283 \| good	1.546 \| good	2.872 \| good	0.143 \| good
2025-10-23T20:00:00.000Z	26 \| good	3.005 \| good	12.376 \| good	28.35 \| good	1.526 \| good	3.128 \| good	0.144 \| good
2025-10-23T21:00:00.000Z	25 \| good	2.617 \| good	10.952 \| good	27.418 \| good	1.507 \| good	3.385 \| good	0.145 \| good
2025-10-23T22:00:00.000Z	26 \| good	1.554 \| good	6.098 \| good	27.702 \| good	1.638 \| good	6.047 \| good	0.164 \| good
2025-10-23T23:00:00.000Z	23 \| good	1.736 \| good	6.934 \| good	25.354 \| good	1.769 \| good	8.709 \| good	0.183 \| good
2025-10-24T00:00:00.000Z	22 \| good	3.597 \| good	15.735 \| good	21.963 \| good	1.901 \| good	11.372 \| good	0.202 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.648 \| good	15.823 \| good	21.722 \| good	2.08 \| good	11.014 \| good	0.2 \| good
2025-10-24T02:00:00.000Z	21 \| good	3.06 \| good	12.492 \| good	23.135 \| good	2.259 \| good	10.656 \| good	0.197 \| good
2025-10-24T03:00:00.000Z	23 \| good	2.719 \| good	11.097 \| good	25.462 \| good	2.438 \| good	10.298 \| good	0.195 \| good
2025-10-24T04:00:00.000Z	25 \| good	2.923 \| good	11.962 \| good	26.646 \| good	2.582 \| good	9.275 \| good	0.189 \| good
2025-10-24T05:00:00.000Z	22 \| good	3.113 \| good	13.714 \| good	23.559 \| good	2.725 \| good	8.253 \| good	0.183 \| good
2025-10-24T06:00:00.000Z	22 \| good	3.509 \| good	15.28 \| good	19.427 \| good	2.869 \| good	7.231 \| good	0.177 \| good
2025-10-24T07:00:00.000Z	22 \| good	4.059 \| good	17.929 \| good	16.702 \| good	2.836 \| good	6.975 \| good	0.175 \| good
2025-10-24T08:00:00.000Z	22 \| good	4.295 \| good	18.945 \| good	14.367 \| good	2.804 \| good	6.718 \| good	0.173 \| good
2025-10-24T09:00:00.000Z	27 \| good	4.803 \| good	20.947 \| good	11.712 \| good	2.772 \| good	6.462 \| good	0.171 \| good
2025-10-24T10:00:00.000Z	33 \| good	6.346 \| good	28.462 \| good	7.959 \| good	2.804 \| good	7.595 \| good	0.186 \| good
2025-10-24T11:00:00.000Z	44 \| good	7.907 \| good	34.612 \| good	5.223 \| good	2.835 \| good	8.727 \| good	0.201 \| good
2025-10-24T12:00:00.000Z	44 \| good	8.471 \| good	36.935 \| good	7.76 \| good	2.866 \| good	9.859 \| good	0.216 \| good
2025-10-24T13:00:00.000Z	38 \| good	6.788 \| good	30.132 \| good	16.52 \| good	2.758 \| good	7.816 \| good	0.201 \| good
2025-10-24T14:00:00.000Z	27 \| good	4.585 \| good	20.079 \| good	23.678 \| good	2.651 \| good	5.773 \| good	0.187 \| good
2025-10-24T15:00:00.000Z	25 \| good	3.95 \| good	17.202 \| good	26.587 \| good	2.543 \| good	3.73 \| good	0.172 \| good
2025-10-24T16:00:00.000Z	27 \| good	3.065 \| good	12.352 \| good	28.895 \| good	2.283 \| good	3.386 \| good	0.168 \| good
2025-10-24T17:00:00.000Z	29 \| good	2.383 \| good	9.814 \| good	30.613 \| good	2.023 \| good	3.043 \| good	0.164 \| good
2025-10-24T18:00:00.000Z	31 \| good	1.931 \| good	7.85 \| good	32.61 \| good	1.764 \| good	2.699 \| good	0.159 \| good
2025-10-24T19:00:00.000Z	31 \| good	1.672 \| good	6.843 \| good	33.49 \| good	1.604 \| good	2.888 \| good	0.159 \| good
2025-10-24T20:00:00.000Z	30 \| good	1.991 \| good	8.098 \| good	32.347 \| good	1.445 \| good	3.078 \| good	0.159 \| good
2025-10-24T21:00:00.000Z	30 \| good	2.983 \| good	11.98 \| good	31.588 \| good	1.285 \| good	3.267 \| good	0.159 \| good
2025-10-24T22:00:00.000Z	27 \| good	5.097 \| good	22.312 \| good	25.078 \| good	1.336 \| good	6.217 \| good	0.18 \| good
2025-10-24T23:00:00.000Z	33 \| good	6.254 \| good	27.525 \| good	20.924 \| good	1.386 \| good	9.167 \| good	0.201 \| good
2025-10-25T00:00:00.000Z	33 \| good	5.777 \| good	24.815 \| good	19.139 \| good	1.437 \| good	12.116 \| good	0.222 \| good
2025-10-25T01:00:00.000Z	27 \| good	5.346 \| good	22.905 \| good	19.097 \| good	1.471 \| good	11.864 \| good	0.219 \| good
2025-10-25T02:00:00.000Z	33 \| good	5.503 \| good	23.89 \| good	17.904 \| good	1.505 \| good	11.612 \| good	0.217 \| good
2025-10-25T03:00:00.000Z	27 \| good	4.706 \| good	20.571 \| good	20.36 \| good	1.539 \| good	11.36 \| good	0.214 \| good
2025-10-25T04:00:00.000Z	22 \| good	4.347 \| good	18.834 \| good	20.264 \| good	1.52 \| good	10.46 \| good	0.207 \| good
2025-10-25T05:00:00.000Z	22 \| good	3.992 \| good	17.557 \| good	20.274 \| good	1.501 \| good	9.559 \| good	0.201 \| good
2025-10-25T06:00:00.000Z	27 \| good	4.948 \| good	5.016 \| good	14.941 \| good	1.472 \| good	8.617 \| good	0.194 \| good
2025-10-25T07:00:00.000Z	22 \| good	4.336 \| good	18.864 \| good	18.376 \| good	1.501 \| good	8.289 \| good	0.191 \| good
2025-10-25T08:00:00.000Z	22 \| good	4.098 \| good	17.954 \| good	17.008 \| good	1.52 \| good	7.92 \| good	0.187 \| good

Warminster

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Warminster, Pennsylvania air quality map: Track AQI near you

0.19ppm

How accurate is Pennsylvania, USA air quality data?

Air quality data and pollutant measurements for Pennsylvania, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Warminster, Pennsylvania updated?

The air quality for Warminster, Pennsylvania is updated every hour.

When was the worst air quality at Warminster, Pennsylvania in the last 24 hrs?

The worst air quality in Warminster, Pennsylvania in the last 24 hours was observed at 12:00:00 on 2025-10-22.

When was the best air quality at Warminster, Pennsylvania in the last 24 hrs?

In the last 24 hrs, the best air quality in Warminster, Pennsylvania was observed at 07:00:00 on 2025-10-23.

What is the current air quality in Warminster, Pennsylvania?

The current air quality in Warminster, Pennsylvania is 22, categorized as Good based on real-time data.

What pollutant is the most common in Warminster, Pennsylvania?

The most common pollutant in Warminster, Pennsylvania is PM2.5.

What should I do if the air quality in Warminster, Pennsylvania is poor?

If the air quality in Warminster, Pennsylvania is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Warminster, Pennsylvania?

The current PM_2.5 concentration at Warminster, Pennsylvania is 3.672 μg/m³.

What is the current concentration of PM₁₀ in Warminster, Pennsylvania?

The current PM₁₀ concentration at Warminster, Pennsylvania is 17.51 μg/m³.

What is the current concentration of carbon monoxide (CO) in Warminster, Pennsylvania?

The current carbon monoxide (CO) concentration at Warminster, Pennsylvania is 0.199 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Warminster, Pennsylvania?

The current sulfur dioxide (SO₂) concentration at Warminster, Pennsylvania is 0.21 ppb.

What is the current concentration of ozone (O₃) in Warminster, Pennsylvania?

The current ozone (O₃) concentration at Warminster, Pennsylvania is 20.872 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Warminster, Pennsylvania?

The current nitrogen dioxide (NO₂) concentration at Warminster, Pennsylvania is 6.066 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T19:00:00.000Z	29 \| good	3.983 \| good	16.483 \| good	31.347 \| good	0.411 \| good	7.152 \| good	0.237 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.677 \| good	12.611 \| good	36.696 \| good	0.323 \| good	6.945 \| good	0.237 \| good
2025-10-21T21:00:00.000Z	37 \| good	2.693 \| good	12.213 \| good	40.042 \| good	0.31 \| good	6.843 \| good	0.271 \| good
2025-10-21T22:00:00.000Z	35 \| good	4.559 \| good	19.663 \| good	37.661 \| good	0.369 \| good	8.798 \| good	0.271 \| good
2025-10-21T23:00:00.000Z	33 \| good	5.928 \| good	20.798 \| good	28.194 \| good	0.377 \| good	12.556 \| good	0.299 \| good
2025-10-22T00:00:00.000Z	31 \| good	5.38 \| good	22.246 \| good	34.206 \| good	0.373 \| good	8.6 \| good	0.335 \| good
2025-10-22T01:00:00.000Z	38 \| good	6.934 \| good	25.605 \| good	26.948 \| good	0.421 \| good	11.804 \| good	0.335 \| good
2025-10-22T02:00:00.000Z	35 \| good	3.718 \| good	17.663 \| good	38.212 \| good	0.294 \| good	11.922 \| good	0.306 \| good
2025-10-22T03:00:00.000Z	49 \| good	8.756 \| good	38.253 \| good	33.795 \| good	1.978 \| good	7.981 \| good	0.179 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.108 \| good	26.693 \| good	33.82 \| good	0.36 \| good	11.196 \| good	0.314 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.023 \| good	32.807 \| good	30.112 \| good	0.354 \| good	7.761 \| good	0.262 \| good
2025-10-22T06:00:00.000Z	38 \| good	7.246 \| good	30.38 \| good	26.76 \| good	0.299 \| good	10.327 \| good	0.262 \| good
2025-10-22T07:00:00.000Z	44 \| good	7.76 \| good	26.463 \| good	24.989 \| good	0.298 \| good	15.155 \| good	0.262 \| good
2025-10-22T08:00:00.000Z	44 \| good	7.566 \| good	27.865 \| good	24.618 \| good	0.301 \| good	8.975 \| good	0.115 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.891 \| good	38.96 \| good	21.199 \| good	0.296 \| good	8.298 \| good	0.262 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.948 \| good	32.627 \| good	17.399 \| good	0.33 \| good	11.763 \| good	0.285 \| good
2025-10-22T11:00:00.000Z	49 \| good	9.457 \| good	34.498 \| good	19.101 \| good	0.152 \| good	12.478 \| good	0.285 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	9.79 \| good	46.367 \| good	18.185 \| good	0.187 \| good	9.514 \| good	0.309 \| good
2025-10-22T13:00:00.000Z	44 \| good	8.26 \| good	39.107 \| good	21.223 \| good	0.187 \| good	10.459 \| good	0.345 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.771 \| good	32.723 \| good	24.784 \| good	0.365 \| good	6.784 \| good	0.279 \| good
2025-10-22T15:00:00.000Z	33 \| good	6.403 \| good	24.053 \| good	23.731 \| good	0.39 \| good	6.917 \| good	0.279 \| good
2025-10-22T16:00:00.000Z	25 \| good	3.93 \| good	19.839 \| good	27.409 \| good	0.292 \| good	5.074 \| good	0.262 \| good
2025-10-22T17:00:00.000Z	27 \| good	4.9 \| good	11.639 \| good	26.327 \| good	0.322 \| good	3.916 \| good	0.234 \| good
2025-10-22T18:00:00.000Z	27 \| good	2.969 \| good	13.443 \| good	29.233 \| good	0.246 \| good	3.642 \| good	0.192 \| good
2025-10-22T19:00:00.000Z	27 \| good	2.756 \| good	10.116 \| good	28.948 \| good	0.242 \| good	3.075 \| good	0.192 \| good
2025-10-22T20:00:00.000Z	25 \| good	3.532 \| good	15.781 \| good	27.25 \| good	0.273 \| good	4.385 \| good	0.239 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.55 \| good	16.453 \| good	30.179 \| good	0.236 \| good	5.114 \| good	0.204 \| good
2025-10-22T22:00:00.000Z	28 \| good	3.711 \| good	15.631 \| good	29.707 \| good	0.242 \| good	4.166 \| good	0.204 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.791 \| good	15.201 \| good	29.237 \| good	0.241 \| good	5.336 \| good	0.239 \| good
2025-10-23T00:00:00.000Z	24 \| good	4.21 \| good	18.392 \| good	26.061 \| good	0.264 \| good	7.389 \| good	0.264 \| good
2025-10-23T01:00:00.000Z	24 \| good	4.229 \| good	16.941 \| good	25.545 \| good	0.643 \| good	7.654 \| good	0.273 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.51 \| good	21.413 \| good	21.686 \| good	0.264 \| good	6.069 \| good	0.273 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.513 \| good	22.439 \| good	22.671 \| good	0.231 \| good	12.965 \| good	0.198 \| good
2025-10-23T04:00:00.000Z	22 \| good	4.039 \| good	19.304 \| good	22.83 \| good	0.224 \| good	13.618 \| good	0.198 \| good
2025-10-23T05:00:00.000Z	23 \| good	3.997 \| good	17.986 \| good	25.443 \| good	0.194 \| good	7.961 \| good	0.204 \| good
2025-10-23T06:00:00.000Z	23 \| good	4.308 \| good	20.433 \| good	25.312 \| good	0.232 \| good	8.123 \| good	0.199 \| good
2025-10-23T07:00:00.000Z	22 \| good	3.755 \| good	15.623 \| good	22.54 \| good	0.323 \| good	7.956 \| good	0.199 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.672 \| good	17.51 \| good	20.872 \| good	0.21 \| good	6.066 \| good	0.199 \| good
2025-10-23T09:00:00.000Z	22 \| good	3.995 \| good	14.715 \| good	17.179 \| good	0.496 \| good	6.446 \| good	0.199 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.651 \| good	15.808 \| good	17.964 \| good	0.277 \| good	7.681 \| good	0.205 \| good
2025-10-23T11:00:00.000Z	22 \| good	4.072 \| good	20.177 \| good	20.093 \| good	0.408 \| good	8.244 \| good	0.251 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.441 \| good	22.86 \| good	13.397 \| good	0.438 \| good	12.976 \| good	0.283 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.067 \| good	23.055 \| good	15.698 \| good	0.433 \| good	11.673 \| good	0.317 \| good
2025-10-23T14:00:00.000Z	22 \| good	4.287 \| good	17.174 \| good	19.165 \| good	0.411 \| good	9.55 \| good	0.332 \| good
2025-10-23T15:00:00.000Z	27 \| good	5.058 \| good	23.779 \| good	22.662 \| good	0.349 \| good	3.95 \| good	0.209 \| good
2025-10-23T16:00:00.000Z	27 \| good	4.608 \| good	17.915 \| good	23.252 \| good	0.373 \| good	4.877 \| good	0.239 \| good
2025-10-23T17:00:00.000Z	23 \| good	3.824 \| good	16.569 \| good	25.053 \| good	0.248 \| good	4.313 \| good	0.215 \| good
2025-10-23T18:00:00.000Z	26 \| good	3.244 \| good	16.801 \| good	27.777 \| good	0.287 \| good	3.801 \| good	0.126 \| good
2025-10-23T18:00:00.000Z	26 \| good	3.244 \| good	16.801 \| good	27.777 \| good	0.287 \| good	3.801 \| good	0.126 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.12 \| good	27.178 \| good	19.305 \| good	2.3 \| good	5.114 \| good	0.151 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.825 \| good	25.337 \| good	16.888 \| good	2.319 \| good	5.924 \| good	0.158 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.585 \| good	23.996 \| good	16.395 \| good	2.338 \| good	6.735 \| good	0.166 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.488 \| good	23.439 \| good	20.052 \| good	2.356 \| good	7.546 \| good	0.174 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.268 \| good	23.004 \| good	23.113 \| good	2.367 \| good	6.208 \| good	0.167 \| good
2025-10-23T14:00:00.000Z	26 \| good	3.71 \| good	16.283 \| good	27.889 \| good	2.378 \| good	4.87 \| good	0.16 \| good
2025-10-23T15:00:00.000Z	28 \| good	2.878 \| good	11.99 \| good	29.542 \| good	2.388 \| good	3.532 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	28 \| good	2.818 \| good	11.769 \| good	30.199 \| good	2.114 \| good	3.226 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	29 \| good	3.14 \| good	13.744 \| good	30.511 \| good	1.839 \| good	2.921 \| good	0.146 \| good
2025-10-23T18:00:00.000Z	28 \| good	3.126 \| good	13.615 \| good	29.901 \| good	1.565 \| good	2.615 \| good	0.142 \| good
2025-10-23T19:00:00.000Z	27 \| good	2.765 \| good	11.044 \| good	29.283 \| good	1.546 \| good	2.872 \| good	0.143 \| good
2025-10-23T20:00:00.000Z	26 \| good	3.005 \| good	12.376 \| good	28.35 \| good	1.526 \| good	3.128 \| good	0.144 \| good
2025-10-23T21:00:00.000Z	25 \| good	2.617 \| good	10.952 \| good	27.418 \| good	1.507 \| good	3.385 \| good	0.145 \| good
2025-10-23T22:00:00.000Z	26 \| good	1.554 \| good	6.098 \| good	27.702 \| good	1.638 \| good	6.047 \| good	0.164 \| good
2025-10-23T23:00:00.000Z	23 \| good	1.736 \| good	6.934 \| good	25.354 \| good	1.769 \| good	8.709 \| good	0.183 \| good
2025-10-24T00:00:00.000Z	22 \| good	3.597 \| good	15.735 \| good	21.963 \| good	1.901 \| good	11.372 \| good	0.202 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.648 \| good	15.823 \| good	21.722 \| good	2.08 \| good	11.014 \| good	0.2 \| good
2025-10-24T02:00:00.000Z	21 \| good	3.06 \| good	12.492 \| good	23.135 \| good	2.259 \| good	10.656 \| good	0.197 \| good
2025-10-24T03:00:00.000Z	23 \| good	2.719 \| good	11.097 \| good	25.462 \| good	2.438 \| good	10.298 \| good	0.195 \| good
2025-10-24T04:00:00.000Z	25 \| good	2.923 \| good	11.962 \| good	26.646 \| good	2.582 \| good	9.275 \| good	0.189 \| good
2025-10-24T05:00:00.000Z	22 \| good	3.113 \| good	13.714 \| good	23.559 \| good	2.725 \| good	8.253 \| good	0.183 \| good
2025-10-24T06:00:00.000Z	22 \| good	3.509 \| good	15.28 \| good	19.427 \| good	2.869 \| good	7.231 \| good	0.177 \| good
2025-10-24T07:00:00.000Z	22 \| good	4.059 \| good	17.929 \| good	16.702 \| good	2.836 \| good	6.975 \| good	0.175 \| good
2025-10-24T08:00:00.000Z	22 \| good	4.295 \| good	18.945 \| good	14.367 \| good	2.804 \| good	6.718 \| good	0.173 \| good
2025-10-24T09:00:00.000Z	27 \| good	4.803 \| good	20.947 \| good	11.712 \| good	2.772 \| good	6.462 \| good	0.171 \| good
2025-10-24T10:00:00.000Z	33 \| good	6.346 \| good	28.462 \| good	7.959 \| good	2.804 \| good	7.595 \| good	0.186 \| good
2025-10-24T11:00:00.000Z	44 \| good	7.907 \| good	34.612 \| good	5.223 \| good	2.835 \| good	8.727 \| good	0.201 \| good
2025-10-24T12:00:00.000Z	44 \| good	8.471 \| good	36.935 \| good	7.76 \| good	2.866 \| good	9.859 \| good	0.216 \| good
2025-10-24T13:00:00.000Z	38 \| good	6.788 \| good	30.132 \| good	16.52 \| good	2.758 \| good	7.816 \| good	0.201 \| good
2025-10-24T14:00:00.000Z	27 \| good	4.585 \| good	20.079 \| good	23.678 \| good	2.651 \| good	5.773 \| good	0.187 \| good
2025-10-24T15:00:00.000Z	25 \| good	3.95 \| good	17.202 \| good	26.587 \| good	2.543 \| good	3.73 \| good	0.172 \| good
2025-10-24T16:00:00.000Z	27 \| good	3.065 \| good	12.352 \| good	28.895 \| good	2.283 \| good	3.386 \| good	0.168 \| good
2025-10-24T17:00:00.000Z	29 \| good	2.383 \| good	9.814 \| good	30.613 \| good	2.023 \| good	3.043 \| good	0.164 \| good
2025-10-24T18:00:00.000Z	31 \| good	1.931 \| good	7.85 \| good	32.61 \| good	1.764 \| good	2.699 \| good	0.159 \| good
2025-10-24T19:00:00.000Z	31 \| good	1.672 \| good	6.843 \| good	33.49 \| good	1.604 \| good	2.888 \| good	0.159 \| good
2025-10-24T20:00:00.000Z	30 \| good	1.991 \| good	8.098 \| good	32.347 \| good	1.445 \| good	3.078 \| good	0.159 \| good
2025-10-24T21:00:00.000Z	30 \| good	2.983 \| good	11.98 \| good	31.588 \| good	1.285 \| good	3.267 \| good	0.159 \| good
2025-10-24T22:00:00.000Z	27 \| good	5.097 \| good	22.312 \| good	25.078 \| good	1.336 \| good	6.217 \| good	0.18 \| good
2025-10-24T23:00:00.000Z	33 \| good	6.254 \| good	27.525 \| good	20.924 \| good	1.386 \| good	9.167 \| good	0.201 \| good
2025-10-25T00:00:00.000Z	33 \| good	5.777 \| good	24.815 \| good	19.139 \| good	1.437 \| good	12.116 \| good	0.222 \| good
2025-10-25T01:00:00.000Z	27 \| good	5.346 \| good	22.905 \| good	19.097 \| good	1.471 \| good	11.864 \| good	0.219 \| good
2025-10-25T02:00:00.000Z	33 \| good	5.503 \| good	23.89 \| good	17.904 \| good	1.505 \| good	11.612 \| good	0.217 \| good
2025-10-25T03:00:00.000Z	27 \| good	4.706 \| good	20.571 \| good	20.36 \| good	1.539 \| good	11.36 \| good	0.214 \| good
2025-10-25T04:00:00.000Z	22 \| good	4.347 \| good	18.834 \| good	20.264 \| good	1.52 \| good	10.46 \| good	0.207 \| good
2025-10-25T05:00:00.000Z	22 \| good	3.992 \| good	17.557 \| good	20.274 \| good	1.501 \| good	9.559 \| good	0.201 \| good
2025-10-25T06:00:00.000Z	27 \| good	4.948 \| good	5.016 \| good	14.941 \| good	1.472 \| good	8.617 \| good	0.194 \| good
2025-10-25T07:00:00.000Z	22 \| good	4.336 \| good	18.864 \| good	18.376 \| good	1.501 \| good	8.289 \| good	0.191 \| good
2025-10-25T08:00:00.000Z	22 \| good	4.098 \| good	17.954 \| good	17.008 \| good	1.52 \| good	7.92 \| good	0.187 \| good

Warminster, Pennsylvania live air quality index now

Major air pollutants in Warminster, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Warminster, Pennsylvania air quality forecast and history

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Warminster, Pennsylvania air quality map: Track AQI near you

Air quality in nearby cities

Horsham, Pennsylvania

Upper Moreland, Pennsylvania

Warwick Township, Pennsylvania

Warrington Township, Pennsylvania

Lower Moreland, Pennsylvania

Upper Southampton, Pennsylvania

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Air quality levels in US

Frequently asked questions

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When was the worst air quality at Warminster, Pennsylvania in the last 24 hrs?

When was the best air quality at Warminster, Pennsylvania in the last 24 hrs?

What is the current air quality in Warminster, Pennsylvania?

What pollutant is the most common in Warminster, Pennsylvania?

What should I do if the air quality in Warminster, Pennsylvania is poor?

What is the current concentration of PM2.5 in Warminster, Pennsylvania?

What is the current concentration of PM10 in Warminster, Pennsylvania?

What is the current concentration of carbon monoxide (CO) in Warminster, Pennsylvania?

What is the current concentration of sulfur dioxide (SO2) in Warminster, Pennsylvania?

What is the current concentration of ozone (O3) in Warminster, Pennsylvania?

What is the current concentration of nitrogen dioxide (NO2) in Warminster, Pennsylvania?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Warminster, Pennsylvania?

What is the current concentration of PM₁₀ in Warminster, Pennsylvania?

What is the current concentration of sulfur dioxide (SO₂) in Warminster, Pennsylvania?

What is the current concentration of ozone (O₃) in Warminster, Pennsylvania?

What is the current concentration of nitrogen dioxide (NO₂) in Warminster, Pennsylvania?