What is the current concentration of PM10 in Exeter Township, Pennsylvania?

The current PM10 concentration at Exeter Township, Pennsylvania is 25.19 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Exeter Township, Pennsylvania is 0.313 ppb.

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

The current ozone (O3) concentration at Exeter Township, Pennsylvania is 20.819 ppm.

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

The current nitrogen dioxide (NO2) concentration at Exeter Township, Pennsylvania is 6.239 ppb.

Exeter Township, Pennsylvania live air quality index now

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

The current PM2.5 concentration at Exeter Township, Pennsylvania is 6.238 μg/m3.

Stay updated with real-time air quality in Exeter Township, 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

Exeter Township, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Exeter Township, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.24 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

25.19 μg/m³

155

255

425

605+

Ozone (O₃)

20.82 ppb

201

201+

Sulfur Dioxide (SO₂)

0.31 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.24 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.24 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Exeter Township, Pennsylvania

Get Live Pollen Counts

Exeter Township, Pennsylvania

Scroll To Air Quality Map

Track live Exeter Township, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T16:00:00.000Z	26 \| good	2.055 \| good	7.912 \| good	27.651 \| good	0.229 \| good	2.683 \| good	0.265 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.352 \| good	10.01 \| good	29.27 \| good	0.31 \| good	3.083 \| good	0.24 \| good
2025-10-20T18:00:00.000Z	27 \| good	2.773 \| good	6.627 \| good	29.169 \| good	0.209 \| good	3.463 \| good	0.193 \| good
2025-10-20T19:00:00.000Z	28 \| good	2.487 \| good	9.562 \| good	30.017 \| good	0.21 \| good	3.231 \| good	0.193 \| good
2025-10-20T20:00:00.000Z	26 \| good	2.656 \| good	11.244 \| good	28.193 \| good	0.27 \| good	2.975 \| good	0.181 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.523 \| good	10.596 \| good	29.277 \| good	0.204 \| good	3.317 \| good	0.193 \| good
2025-10-20T22:00:00.000Z	26 \| good	2.552 \| good	10.918 \| good	28.091 \| good	0.224 \| good	3.372 \| good	0.181 \| good
2025-10-20T23:00:00.000Z	25 \| good	2.533 \| good	9.476 \| good	26.577 \| good	0.196 \| good	2.76 \| good	0.202 \| good
2025-10-21T00:00:00.000Z	23 \| good	3.837 \| good	16.024 \| good	24.794 \| good	0.185 \| good	3.727 \| good	0.225 \| good
2025-10-21T01:00:00.000Z	26 \| good	3.742 \| good	17.185 \| good	27.565 \| good	0.213 \| good	4.978 \| good	0.236 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.572 \| good	21.577 \| good	22.602 \| good	0.216 \| good	5.835 \| good	0.284 \| good
2025-10-21T03:00:00.000Z	33 \| good	5.77 \| good	25.044 \| good	12.576 \| good	2.145 \| good	5.195 \| good	0.156 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.609 \| good	19.478 \| good	14.925 \| good	0.229 \| good	7.571 \| good	0.278 \| good
2025-10-21T05:00:00.000Z	27 \| good	4.814 \| good	18.702 \| good	12.134 \| good	0.231 \| good	7.076 \| good	0.278 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.279 \| good	20.456 \| good	8.621 \| good	0.229 \| good	8.065 \| good	0.222 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.407 \| good	20.375 \| good	9.056 \| good	0.206 \| good	8.55 \| good	0.269 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.596 \| good	19.916 \| good	6.785 \| good	0.265 \| good	8.115 \| good	0.246 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.892 \| good	20.675 \| good	7.34 \| good	0.265 \| good	8.358 \| good	0.254 \| good
2025-10-21T10:00:00.000Z	31 \| good	5.217 \| good	34.192 \| good	9.746 \| good	0.351 \| good	10.794 \| good	0.307 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.328 \| good	22.587 \| good	4.791 \| good	0.442 \| good	13.302 \| good	0.31 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.04 \| good	19.3 \| good	5.547 \| good	0.815 \| good	12.458 \| good	0.405 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.661 \| good	31.496 \| good	5.76 \| good	0.837 \| good	13.284 \| good	0.466 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.181 \| good	32.106 \| good	8.549 \| good	0.937 \| good	11.61 \| good	0.449 \| good
2025-10-21T15:00:00.000Z	33 \| good	6.048 \| good	28.476 \| good	13.265 \| good	1.571 \| good	7.635 \| good	0.341 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.085 \| good	21.713 \| good	17.897 \| good	1.28 \| good	5.241 \| good	0.286 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.24 \| good	19.467 \| good	22.219 \| good	0.417 \| good	8.95 \| good	0.25 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.89 \| good	16.223 \| good	31.439 \| good	0.345 \| good	7.871 \| good	0.25 \| good
2025-10-21T19:00:00.000Z	33 \| good	3.376 \| good	16.431 \| good	35.522 \| good	0.364 \| good	6.447 \| good	0.221 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.284 \| good	14.962 \| good	37.385 \| good	0.303 \| good	6.284 \| good	0.221 \| good
2025-10-21T21:00:00.000Z	36 \| good	3.334 \| good	11.521 \| good	39.351 \| good	0.286 \| good	6.705 \| good	0.261 \| good
2025-10-21T22:00:00.000Z	37 \| good	3.463 \| good	22.298 \| good	39.876 \| good	0.315 \| good	7.67 \| good	0.261 \| good
2025-10-21T23:00:00.000Z	32 \| good	4.571 \| good	19.854 \| good	34.744 \| good	0.322 \| good	8.161 \| good	0.282 \| good
2025-10-22T00:00:00.000Z	30 \| good	4.686 \| good	23.964 \| good	32.117 \| good	0.327 \| good	9.427 \| good	0.306 \| good
2025-10-22T01:00:00.000Z	29 \| good	5.35 \| good	21.749 \| good	31.162 \| good	0.359 \| good	9.614 \| good	0.306 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.996 \| good	21.046 \| good	26.874 \| good	0.229 \| good	7.251 \| good	0.313 \| good
2025-10-22T03:00:00.000Z	54 \| moderate	10.919 \| good	48.462 \| good	22.243 \| good	2.368 \| good	6.444 \| good	0.194 \| good
2025-10-22T04:00:00.000Z	33 \| good	6.268 \| good	26.786 \| good	24.773 \| good	0.301 \| good	9.2 \| good	0.298 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.211 \| good	28.67 \| good	18.336 \| good	0.271 \| good	9.644 \| good	0.246 \| good
2025-10-22T06:00:00.000Z	33 \| good	6.221 \| good	27.214 \| good	22.746 \| good	0.243 \| good	12.916 \| good	0.246 \| good
2025-10-22T07:00:00.000Z	44 \| good	8.335 \| good	35.763 \| good	20.535 \| good	0.242 \| good	12.82 \| good	0.246 \| good
2025-10-22T08:00:00.000Z	49 \| good	8.735 \| good	34.562 \| good	17.313 \| good	0.265 \| good	12.165 \| good	0.147 \| good
2025-10-22T09:00:00.000Z	33 \| good	6.361 \| good	27.538 \| good	13.896 \| good	0.241 \| good	12.191 \| good	0.246 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.874 \| good	26.087 \| good	19.976 \| good	0.227 \| good	10.703 \| good	0.258 \| good
2025-10-22T11:00:00.000Z	44 \| good	8.081 \| good	29.926 \| good	20.035 \| good	0.163 \| good	10.679 \| good	0.251 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	9.815 \| good	40.152 \| good	19.006 \| good	0.204 \| good	11.119 \| good	0.274 \| good
2025-10-22T13:00:00.000Z	49 \| good	9.015 \| good	40.03 \| good	18.575 \| good	0.201 \| good	10.824 \| good	0.298 \| good
2025-10-22T14:00:00.000Z	33 \| good	6.238 \| good	25.19 \| good	20.819 \| good	0.313 \| good	6.239 \| good	0.24 \| good
2025-10-22T15:00:00.000Z	23 \| good	4.42 \| good	19.184 \| good	25.142 \| good	0.316 \| good	5.464 \| good	0.24 \| good
2025-10-22T15:00:00.000Z	33 \| good	6.238 \| good	25.19 \| good	20.819 \| good	0.313 \| good	6.239 \| good	0.24 \| good
2025-10-22T16:00:00.000Z	32 \| good	2.964 \| good	12 \| good	34.703 \| good	1.818 \| good	1.714 \| good	0.136 \| good
2025-10-22T17:00:00.000Z	32 \| good	3.352 \| good	14.872 \| good	35.245 \| good	1.598 \| good	1.574 \| good	0.134 \| good
2025-10-22T18:00:00.000Z	32 \| good	3.663 \| good	16 \| good	35.096 \| good	1.377 \| good	1.433 \| good	0.133 \| good
2025-10-22T19:00:00.000Z	31 \| good	3.939 \| good	17.026 \| good	33.688 \| good	1.38 \| good	1.707 \| good	0.135 \| good
2025-10-22T20:00:00.000Z	31 \| good	3.637 \| good	16 \| good	33.986 \| good	1.383 \| good	1.981 \| good	0.137 \| good
2025-10-22T21:00:00.000Z	30 \| good	3.077 \| good	12.237 \| good	31.925 \| good	1.385 \| good	2.255 \| good	0.14 \| good
2025-10-22T22:00:00.000Z	27 \| good	3.158 \| good	13.92 \| good	28.684 \| good	1.531 \| good	3.343 \| good	0.15 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.787 \| good	20.939 \| good	21.257 \| good	1.676 \| good	4.43 \| good	0.159 \| good
2025-10-23T00:00:00.000Z	38 \| good	6.572 \| good	29.06 \| good	18.176 \| good	1.821 \| good	5.518 \| good	0.169 \| good
2025-10-23T01:00:00.000Z	38 \| good	6.664 \| good	29.904 \| good	23.864 \| good	1.896 \| good	5.547 \| good	0.169 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.624 \| good	24.056 \| good	28.341 \| good	1.971 \| good	5.577 \| good	0.169 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.149 \| good	22.12 \| good	26.267 \| good	2.047 \| good	5.606 \| good	0.169 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.851 \| good	21.028 \| good	22.56 \| good	2.191 \| good	5.19 \| good	0.166 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.68 \| good	20.307 \| good	19.84 \| good	2.336 \| good	4.774 \| good	0.163 \| good
2025-10-23T06:00:00.000Z	27 \| good	5.206 \| good	22.399 \| good	19.359 \| good	2.48 \| good	4.359 \| good	0.159 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.141 \| good	22.147 \| good	19.47 \| good	2.571 \| good	4.15 \| good	0.157 \| good
2025-10-23T08:00:00.000Z	27 \| good	4.835 \| good	21.01 \| good	17.897 \| good	2.662 \| good	3.94 \| good	0.155 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.975 \| good	21.333 \| good	18.233 \| good	2.753 \| good	3.731 \| good	0.153 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.93 \| good	21.307 \| good	16.667 \| good	2.72 \| good	4.303 \| good	0.159 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.187 \| good	22.288 \| good	15.571 \| good	2.687 \| good	4.876 \| good	0.164 \| good
2025-10-23T12:00:00.000Z	27 \| good	4.676 \| good	20.333 \| good	19.111 \| good	2.655 \| good	5.448 \| good	0.17 \| good
2025-10-23T13:00:00.000Z	23 \| good	3.265 \| good	14.036 \| good	24.677 \| good	2.569 \| good	4.595 \| good	0.163 \| good
2025-10-23T14:00:00.000Z	24 \| good	1.998 \| good	8.061 \| good	26.174 \| good	2.482 \| good	3.743 \| good	0.156 \| good
2025-10-23T15:00:00.000Z	23 \| good	2.129 \| good	8.914 \| good	25.22 \| good	2.396 \| good	2.89 \| good	0.15 \| good
2025-10-23T16:00:00.000Z	23 \| good	2.817 \| good	11.71 \| good	25.027 \| good	2.173 \| good	2.539 \| good	0.146 \| good
2025-10-23T17:00:00.000Z	23 \| good	2.807 \| good	11.71 \| good	25.411 \| good	1.95 \| good	2.189 \| good	0.141 \| good
2025-10-23T18:00:00.000Z	24 \| good	2.643 \| good	10.754 \| good	26.493 \| good	1.728 \| good	1.838 \| good	0.137 \| good
2025-10-23T19:00:00.000Z	25 \| good	2.763 \| good	11.092 \| good	27.433 \| good	1.764 \| good	2.046 \| good	0.139 \| good
2025-10-23T20:00:00.000Z	24 \| good	2.459 \| good	10 \| good	25.604 \| good	1.801 \| good	2.254 \| good	0.14 \| good
2025-10-23T21:00:00.000Z	24 \| good	1.975 \| good	8.17 \| good	25.978 \| good	1.838 \| good	2.461 \| good	0.142 \| good
2025-10-23T22:00:00.000Z	25 \| good	1.545 \| good	6.219 \| good	26.628 \| good	2.072 \| good	4.037 \| good	0.158 \| good
2025-10-23T23:00:00.000Z	21 \| good	2.701 \| good	11.267 \| good	23.31 \| good	2.306 \| good	5.613 \| good	0.174 \| good
2025-10-24T00:00:00.000Z	27 \| good	5.123 \| good	22.204 \| good	21.212 \| good	2.54 \| good	7.188 \| good	0.19 \| good
2025-10-24T01:00:00.000Z	33 \| good	6.376 \| good	28.44 \| good	19.38 \| good	2.707 \| good	6.752 \| good	0.188 \| good
2025-10-24T02:00:00.000Z	33 \| good	5.675 \| good	24.88 \| good	20.467 \| good	2.874 \| good	6.316 \| good	0.185 \| good
2025-10-24T03:00:00.000Z	27 \| good	4.922 \| good	21.665 \| good	18.592 \| good	3.041 \| good	5.881 \| good	0.182 \| good
2025-10-24T04:00:00.000Z	33 \| good	5.912 \| good	25.601 \| good	12.262 \| good	3.117 \| good	5.604 \| good	0.18 \| good
2025-10-24T05:00:00.000Z	38 \| good	7.423 \| good	32.804 \| good	8.457 \| good	3.193 \| good	5.327 \| good	0.178 \| good
2025-10-24T06:00:00.000Z	49 \| good	8.521 \| good	37.419 \| good	6.953 \| good	3.27 \| good	5.051 \| good	0.176 \| good
2025-10-24T07:00:00.000Z	49 \| good	8.756 \| good	38.151 \| good	5.079 \| good	3.431 \| good	5.082 \| good	0.178 \| good
2025-10-24T08:00:00.000Z	44 \| good	8.335 \| good	36.822 \| good	4.567 \| good	3.592 \| good	5.114 \| good	0.18 \| good
2025-10-24T09:00:00.000Z	44 \| good	7.537 \| good	33.214 \| good	4.722 \| good	3.753 \| good	5.145 \| good	0.181 \| good
2025-10-24T10:00:00.000Z	38 \| good	7.003 \| good	31.194 \| good	4.547 \| good	3.862 \| good	5.943 \| good	0.191 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.631 \| good	29.468 \| good	4.504 \| good	3.97 \| good	6.742 \| good	0.201 \| good
2025-10-24T12:00:00.000Z	38 \| good	6.77 \| good	29.782 \| good	4.443 \| good	4.079 \| good	7.54 \| good	0.211 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.181 \| good	31.586 \| good	13.92 \| good	3.63 \| good	5.975 \| good	0.197 \| good
2025-10-24T14:00:00.000Z	33 \| good	6.401 \| good	28.311 \| good	20.398 \| good	3.181 \| good	4.41 \| good	0.183 \| good
2025-10-24T15:00:00.000Z	27 \| good	5.248 \| good	22.855 \| good	23.63 \| good	2.732 \| good	2.846 \| good	0.168 \| good

Exeter township

Get reliable air quality data to drive your business

Exeter Township, Pennsylvania air quality map: Track AQI near you

0.23ppm

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

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

Frequently asked questions

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

The air quality for Exeter Township, Pennsylvania is updated every hour.

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

The worst air quality in Exeter Township, Pennsylvania in the last 24 hours was observed at 03:00:00 on 2025-10-22.

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

In the last 24 hrs, the best air quality in Exeter Township, Pennsylvania was observed at 05:00:00 on 2025-10-21.

What is the current air quality in Exeter Township, Pennsylvania?

The current air quality in Exeter Township, Pennsylvania is 33, categorized as Good based on real-time data.

What pollutant is the most common in Exeter Township, Pennsylvania?

The most common pollutant in Exeter Township, Pennsylvania is PM2.5.

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

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

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

The current PM_2.5 concentration at Exeter Township, Pennsylvania is 6.238 μg/m³.

What is the current concentration of PM₁₀ in Exeter Township, Pennsylvania?

The current PM₁₀ concentration at Exeter Township, Pennsylvania is 25.19 μg/m³.

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

The current carbon monoxide (CO) concentration at Exeter Township, Pennsylvania is 0.24 ppm.

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

The current sulfur dioxide (SO₂) concentration at Exeter Township, Pennsylvania is 0.313 ppb.

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

The current ozone (O₃) concentration at Exeter Township, Pennsylvania is 20.819 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Exeter Township, Pennsylvania is 6.239 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T16:00:00.000Z	26 \| good	2.055 \| good	7.912 \| good	27.651 \| good	0.229 \| good	2.683 \| good	0.265 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.352 \| good	10.01 \| good	29.27 \| good	0.31 \| good	3.083 \| good	0.24 \| good
2025-10-20T18:00:00.000Z	27 \| good	2.773 \| good	6.627 \| good	29.169 \| good	0.209 \| good	3.463 \| good	0.193 \| good
2025-10-20T19:00:00.000Z	28 \| good	2.487 \| good	9.562 \| good	30.017 \| good	0.21 \| good	3.231 \| good	0.193 \| good
2025-10-20T20:00:00.000Z	26 \| good	2.656 \| good	11.244 \| good	28.193 \| good	0.27 \| good	2.975 \| good	0.181 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.523 \| good	10.596 \| good	29.277 \| good	0.204 \| good	3.317 \| good	0.193 \| good
2025-10-20T22:00:00.000Z	26 \| good	2.552 \| good	10.918 \| good	28.091 \| good	0.224 \| good	3.372 \| good	0.181 \| good
2025-10-20T23:00:00.000Z	25 \| good	2.533 \| good	9.476 \| good	26.577 \| good	0.196 \| good	2.76 \| good	0.202 \| good
2025-10-21T00:00:00.000Z	23 \| good	3.837 \| good	16.024 \| good	24.794 \| good	0.185 \| good	3.727 \| good	0.225 \| good
2025-10-21T01:00:00.000Z	26 \| good	3.742 \| good	17.185 \| good	27.565 \| good	0.213 \| good	4.978 \| good	0.236 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.572 \| good	21.577 \| good	22.602 \| good	0.216 \| good	5.835 \| good	0.284 \| good
2025-10-21T03:00:00.000Z	33 \| good	5.77 \| good	25.044 \| good	12.576 \| good	2.145 \| good	5.195 \| good	0.156 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.609 \| good	19.478 \| good	14.925 \| good	0.229 \| good	7.571 \| good	0.278 \| good
2025-10-21T05:00:00.000Z	27 \| good	4.814 \| good	18.702 \| good	12.134 \| good	0.231 \| good	7.076 \| good	0.278 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.279 \| good	20.456 \| good	8.621 \| good	0.229 \| good	8.065 \| good	0.222 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.407 \| good	20.375 \| good	9.056 \| good	0.206 \| good	8.55 \| good	0.269 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.596 \| good	19.916 \| good	6.785 \| good	0.265 \| good	8.115 \| good	0.246 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.892 \| good	20.675 \| good	7.34 \| good	0.265 \| good	8.358 \| good	0.254 \| good
2025-10-21T10:00:00.000Z	31 \| good	5.217 \| good	34.192 \| good	9.746 \| good	0.351 \| good	10.794 \| good	0.307 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.328 \| good	22.587 \| good	4.791 \| good	0.442 \| good	13.302 \| good	0.31 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.04 \| good	19.3 \| good	5.547 \| good	0.815 \| good	12.458 \| good	0.405 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.661 \| good	31.496 \| good	5.76 \| good	0.837 \| good	13.284 \| good	0.466 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.181 \| good	32.106 \| good	8.549 \| good	0.937 \| good	11.61 \| good	0.449 \| good
2025-10-21T15:00:00.000Z	33 \| good	6.048 \| good	28.476 \| good	13.265 \| good	1.571 \| good	7.635 \| good	0.341 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.085 \| good	21.713 \| good	17.897 \| good	1.28 \| good	5.241 \| good	0.286 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.24 \| good	19.467 \| good	22.219 \| good	0.417 \| good	8.95 \| good	0.25 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.89 \| good	16.223 \| good	31.439 \| good	0.345 \| good	7.871 \| good	0.25 \| good
2025-10-21T19:00:00.000Z	33 \| good	3.376 \| good	16.431 \| good	35.522 \| good	0.364 \| good	6.447 \| good	0.221 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.284 \| good	14.962 \| good	37.385 \| good	0.303 \| good	6.284 \| good	0.221 \| good
2025-10-21T21:00:00.000Z	36 \| good	3.334 \| good	11.521 \| good	39.351 \| good	0.286 \| good	6.705 \| good	0.261 \| good
2025-10-21T22:00:00.000Z	37 \| good	3.463 \| good	22.298 \| good	39.876 \| good	0.315 \| good	7.67 \| good	0.261 \| good
2025-10-21T23:00:00.000Z	32 \| good	4.571 \| good	19.854 \| good	34.744 \| good	0.322 \| good	8.161 \| good	0.282 \| good
2025-10-22T00:00:00.000Z	30 \| good	4.686 \| good	23.964 \| good	32.117 \| good	0.327 \| good	9.427 \| good	0.306 \| good
2025-10-22T01:00:00.000Z	29 \| good	5.35 \| good	21.749 \| good	31.162 \| good	0.359 \| good	9.614 \| good	0.306 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.996 \| good	21.046 \| good	26.874 \| good	0.229 \| good	7.251 \| good	0.313 \| good
2025-10-22T03:00:00.000Z	54 \| moderate	10.919 \| good	48.462 \| good	22.243 \| good	2.368 \| good	6.444 \| good	0.194 \| good
2025-10-22T04:00:00.000Z	33 \| good	6.268 \| good	26.786 \| good	24.773 \| good	0.301 \| good	9.2 \| good	0.298 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.211 \| good	28.67 \| good	18.336 \| good	0.271 \| good	9.644 \| good	0.246 \| good
2025-10-22T06:00:00.000Z	33 \| good	6.221 \| good	27.214 \| good	22.746 \| good	0.243 \| good	12.916 \| good	0.246 \| good
2025-10-22T07:00:00.000Z	44 \| good	8.335 \| good	35.763 \| good	20.535 \| good	0.242 \| good	12.82 \| good	0.246 \| good
2025-10-22T08:00:00.000Z	49 \| good	8.735 \| good	34.562 \| good	17.313 \| good	0.265 \| good	12.165 \| good	0.147 \| good
2025-10-22T09:00:00.000Z	33 \| good	6.361 \| good	27.538 \| good	13.896 \| good	0.241 \| good	12.191 \| good	0.246 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.874 \| good	26.087 \| good	19.976 \| good	0.227 \| good	10.703 \| good	0.258 \| good
2025-10-22T11:00:00.000Z	44 \| good	8.081 \| good	29.926 \| good	20.035 \| good	0.163 \| good	10.679 \| good	0.251 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	9.815 \| good	40.152 \| good	19.006 \| good	0.204 \| good	11.119 \| good	0.274 \| good
2025-10-22T13:00:00.000Z	49 \| good	9.015 \| good	40.03 \| good	18.575 \| good	0.201 \| good	10.824 \| good	0.298 \| good
2025-10-22T14:00:00.000Z	33 \| good	6.238 \| good	25.19 \| good	20.819 \| good	0.313 \| good	6.239 \| good	0.24 \| good
2025-10-22T15:00:00.000Z	23 \| good	4.42 \| good	19.184 \| good	25.142 \| good	0.316 \| good	5.464 \| good	0.24 \| good
2025-10-22T15:00:00.000Z	33 \| good	6.238 \| good	25.19 \| good	20.819 \| good	0.313 \| good	6.239 \| good	0.24 \| good
2025-10-22T16:00:00.000Z	32 \| good	2.964 \| good	12 \| good	34.703 \| good	1.818 \| good	1.714 \| good	0.136 \| good
2025-10-22T17:00:00.000Z	32 \| good	3.352 \| good	14.872 \| good	35.245 \| good	1.598 \| good	1.574 \| good	0.134 \| good
2025-10-22T18:00:00.000Z	32 \| good	3.663 \| good	16 \| good	35.096 \| good	1.377 \| good	1.433 \| good	0.133 \| good
2025-10-22T19:00:00.000Z	31 \| good	3.939 \| good	17.026 \| good	33.688 \| good	1.38 \| good	1.707 \| good	0.135 \| good
2025-10-22T20:00:00.000Z	31 \| good	3.637 \| good	16 \| good	33.986 \| good	1.383 \| good	1.981 \| good	0.137 \| good
2025-10-22T21:00:00.000Z	30 \| good	3.077 \| good	12.237 \| good	31.925 \| good	1.385 \| good	2.255 \| good	0.14 \| good
2025-10-22T22:00:00.000Z	27 \| good	3.158 \| good	13.92 \| good	28.684 \| good	1.531 \| good	3.343 \| good	0.15 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.787 \| good	20.939 \| good	21.257 \| good	1.676 \| good	4.43 \| good	0.159 \| good
2025-10-23T00:00:00.000Z	38 \| good	6.572 \| good	29.06 \| good	18.176 \| good	1.821 \| good	5.518 \| good	0.169 \| good
2025-10-23T01:00:00.000Z	38 \| good	6.664 \| good	29.904 \| good	23.864 \| good	1.896 \| good	5.547 \| good	0.169 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.624 \| good	24.056 \| good	28.341 \| good	1.971 \| good	5.577 \| good	0.169 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.149 \| good	22.12 \| good	26.267 \| good	2.047 \| good	5.606 \| good	0.169 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.851 \| good	21.028 \| good	22.56 \| good	2.191 \| good	5.19 \| good	0.166 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.68 \| good	20.307 \| good	19.84 \| good	2.336 \| good	4.774 \| good	0.163 \| good
2025-10-23T06:00:00.000Z	27 \| good	5.206 \| good	22.399 \| good	19.359 \| good	2.48 \| good	4.359 \| good	0.159 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.141 \| good	22.147 \| good	19.47 \| good	2.571 \| good	4.15 \| good	0.157 \| good
2025-10-23T08:00:00.000Z	27 \| good	4.835 \| good	21.01 \| good	17.897 \| good	2.662 \| good	3.94 \| good	0.155 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.975 \| good	21.333 \| good	18.233 \| good	2.753 \| good	3.731 \| good	0.153 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.93 \| good	21.307 \| good	16.667 \| good	2.72 \| good	4.303 \| good	0.159 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.187 \| good	22.288 \| good	15.571 \| good	2.687 \| good	4.876 \| good	0.164 \| good
2025-10-23T12:00:00.000Z	27 \| good	4.676 \| good	20.333 \| good	19.111 \| good	2.655 \| good	5.448 \| good	0.17 \| good
2025-10-23T13:00:00.000Z	23 \| good	3.265 \| good	14.036 \| good	24.677 \| good	2.569 \| good	4.595 \| good	0.163 \| good
2025-10-23T14:00:00.000Z	24 \| good	1.998 \| good	8.061 \| good	26.174 \| good	2.482 \| good	3.743 \| good	0.156 \| good
2025-10-23T15:00:00.000Z	23 \| good	2.129 \| good	8.914 \| good	25.22 \| good	2.396 \| good	2.89 \| good	0.15 \| good
2025-10-23T16:00:00.000Z	23 \| good	2.817 \| good	11.71 \| good	25.027 \| good	2.173 \| good	2.539 \| good	0.146 \| good
2025-10-23T17:00:00.000Z	23 \| good	2.807 \| good	11.71 \| good	25.411 \| good	1.95 \| good	2.189 \| good	0.141 \| good
2025-10-23T18:00:00.000Z	24 \| good	2.643 \| good	10.754 \| good	26.493 \| good	1.728 \| good	1.838 \| good	0.137 \| good
2025-10-23T19:00:00.000Z	25 \| good	2.763 \| good	11.092 \| good	27.433 \| good	1.764 \| good	2.046 \| good	0.139 \| good
2025-10-23T20:00:00.000Z	24 \| good	2.459 \| good	10 \| good	25.604 \| good	1.801 \| good	2.254 \| good	0.14 \| good
2025-10-23T21:00:00.000Z	24 \| good	1.975 \| good	8.17 \| good	25.978 \| good	1.838 \| good	2.461 \| good	0.142 \| good
2025-10-23T22:00:00.000Z	25 \| good	1.545 \| good	6.219 \| good	26.628 \| good	2.072 \| good	4.037 \| good	0.158 \| good
2025-10-23T23:00:00.000Z	21 \| good	2.701 \| good	11.267 \| good	23.31 \| good	2.306 \| good	5.613 \| good	0.174 \| good
2025-10-24T00:00:00.000Z	27 \| good	5.123 \| good	22.204 \| good	21.212 \| good	2.54 \| good	7.188 \| good	0.19 \| good
2025-10-24T01:00:00.000Z	33 \| good	6.376 \| good	28.44 \| good	19.38 \| good	2.707 \| good	6.752 \| good	0.188 \| good
2025-10-24T02:00:00.000Z	33 \| good	5.675 \| good	24.88 \| good	20.467 \| good	2.874 \| good	6.316 \| good	0.185 \| good
2025-10-24T03:00:00.000Z	27 \| good	4.922 \| good	21.665 \| good	18.592 \| good	3.041 \| good	5.881 \| good	0.182 \| good
2025-10-24T04:00:00.000Z	33 \| good	5.912 \| good	25.601 \| good	12.262 \| good	3.117 \| good	5.604 \| good	0.18 \| good
2025-10-24T05:00:00.000Z	38 \| good	7.423 \| good	32.804 \| good	8.457 \| good	3.193 \| good	5.327 \| good	0.178 \| good
2025-10-24T06:00:00.000Z	49 \| good	8.521 \| good	37.419 \| good	6.953 \| good	3.27 \| good	5.051 \| good	0.176 \| good
2025-10-24T07:00:00.000Z	49 \| good	8.756 \| good	38.151 \| good	5.079 \| good	3.431 \| good	5.082 \| good	0.178 \| good
2025-10-24T08:00:00.000Z	44 \| good	8.335 \| good	36.822 \| good	4.567 \| good	3.592 \| good	5.114 \| good	0.18 \| good
2025-10-24T09:00:00.000Z	44 \| good	7.537 \| good	33.214 \| good	4.722 \| good	3.753 \| good	5.145 \| good	0.181 \| good
2025-10-24T10:00:00.000Z	38 \| good	7.003 \| good	31.194 \| good	4.547 \| good	3.862 \| good	5.943 \| good	0.191 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.631 \| good	29.468 \| good	4.504 \| good	3.97 \| good	6.742 \| good	0.201 \| good
2025-10-24T12:00:00.000Z	38 \| good	6.77 \| good	29.782 \| good	4.443 \| good	4.079 \| good	7.54 \| good	0.211 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.181 \| good	31.586 \| good	13.92 \| good	3.63 \| good	5.975 \| good	0.197 \| good
2025-10-24T14:00:00.000Z	33 \| good	6.401 \| good	28.311 \| good	20.398 \| good	3.181 \| good	4.41 \| good	0.183 \| good
2025-10-24T15:00:00.000Z	27 \| good	5.248 \| good	22.855 \| good	23.63 \| good	2.732 \| good	2.846 \| good	0.168 \| good

Exeter Township, Pennsylvania live air quality index now

Major air pollutants in Exeter Township, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Exeter Township, Pennsylvania air quality forecast and history

Get reliable air quality data to drive your business

Exeter Township, Pennsylvania air quality map: Track AQI near you

Air quality in nearby cities