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

The current PM10 concentration at Exeter Township, Pennsylvania is 23.467 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 0.998 ppb.

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

The current ozone (O3) concentration at Exeter Township, Pennsylvania is 16.267 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 25.638 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 6.491 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)

6.49 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

23.47 μg/m³

155

255

425

605+

Ozone (O₃)

16.27 ppb

201

201+

Sulfur Dioxide (SO₂)

1.00 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

25.64 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.43 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
2026-01-21T13:00:00.000Z	56 \| moderate	12.335 \| fine	51.334 \| good	3.352 \| good	1.322 \| good	27.896 \| good	0.689 \| good
2026-01-21T14:00:00.000Z	58 \| moderate	13.188 \| fine	53.106 \| good	3.42 \| good	1.165 \| good	36.357 \| good	0.705 \| good
2026-01-21T15:00:00.000Z	75 \| moderate	21.648 \| fine	73.071 \| fine	6.004 \| good	1.279 \| good	25.357 \| good	0.787 \| good
2026-01-21T16:00:00.000Z	77 \| moderate	23.354 \| fine	106.465 \| fine	12.19 \| good	1.146 \| good	15.878 \| good	0.586 \| good
2026-01-21T17:00:00.000Z	69 \| moderate	19.179 \| fine	66.981 \| fine	15.036 \| good	1.085 \| good	17.59 \| good	0.743 \| good
2026-01-21T18:00:00.000Z	56 \| moderate	12.348 \| fine	58.452 \| fine	22.574 \| good	1.045 \| good	10.451 \| good	0.281 \| good
2026-01-21T19:00:00.000Z	49 \| good	8.623 \| good	31.9 \| good	30.873 \| good	0.846 \| good	8.902 \| good	0.261 \| good
2026-01-21T20:00:00.000Z	33 \| good	6.412 \| good	20.928 \| good	30.886 \| good	0.528 \| good	7.107 \| good	0.239 \| good
2026-01-21T21:00:00.000Z	33 \| good	5.526 \| good	26.519 \| good	32.746 \| good	0.434 \| good	7.762 \| good	0.34 \| good
2026-01-21T22:00:00.000Z	33 \| good	5.599 \| good	22.485 \| good	30.193 \| good	0.428 \| good	8.478 \| good	0.291 \| good
2026-01-21T23:00:00.000Z	30 \| good	4.611 \| good	21.741 \| good	31.536 \| good	0.401 \| good	10.358 \| good	0.337 \| good
2026-01-22T00:00:00.000Z	28 \| good	4.805 \| good	23.64 \| good	30.392 \| good	0.415 \| good	13.777 \| good	0.322 \| good
2026-01-22T01:00:00.000Z	33 \| good	5.661 \| good	26.408 \| good	34.73 \| good	0.417 \| good	14.124 \| good	0.302 \| good
2026-01-22T02:00:00.000Z	30 \| good	4.845 \| good	18.203 \| good	31.7 \| good	0.483 \| good	15.426 \| good	0.328 \| good
2026-01-22T03:00:00.000Z	30 \| good	4.815 \| good	23.489 \| good	31.737 \| good	0.408 \| good	10.753 \| good	0.317 \| good
2026-01-22T04:00:00.000Z	28 \| good	4.039 \| good	22.51 \| good	30.398 \| good	0.404 \| good	10.856 \| good	0.306 \| good
2026-01-22T05:00:00.000Z	29 \| good	5.316 \| good	23.845 \| good	31.148 \| good	0.358 \| good	12.235 \| good	0.326 \| good
2026-01-22T06:00:00.000Z	31 \| good	5.348 \| good	23.203 \| good	33.085 \| good	0.378 \| good	9.798 \| good	0.3 \| good
2026-01-22T07:00:00.000Z	33 \| good	5.574 \| good	20.996 \| good	31.564 \| good	0.379 \| good	9.019 \| good	0.275 \| good
2026-01-22T08:00:00.000Z	38 \| good	6.503 \| good	24.233 \| good	29.641 \| good	0.49 \| good	9.244 \| good	0.275 \| good
2026-01-22T09:00:00.000Z	38 \| good	7.412 \| good	37.32 \| good	28.133 \| good	0.402 \| good	13.164 \| good	0.255 \| good
2026-01-22T10:00:00.000Z	44 \| good	7.871 \| good	32.87 \| good	25.944 \| good	0.394 \| good	15.379 \| good	0.285 \| good
2026-01-22T11:00:00.000Z	49 \| good	9.374 \| good	42.192 \| good	27.584 \| good	0.447 \| good	17.207 \| good	0.341 \| good
2026-01-22T12:00:00.000Z	52 \| moderate	10.436 \| good	51.083 \| good	22.99 \| good	0.514 \| good	16.241 \| good	0.372 \| good
2026-01-22T13:00:00.000Z	52 \| moderate	10.431 \| good	40.121 \| good	21.66 \| good	0.514 \| good	15.632 \| good	0.414 \| good
2026-01-22T14:00:00.000Z	56 \| moderate	12.38 \| fine	51.207 \| good	25.287 \| good	0.759 \| good	17.503 \| good	0.503 \| good
2026-01-22T15:00:00.000Z	58 \| moderate	13.31 \| fine	52.571 \| good	26.841 \| good	0.632 \| good	13.708 \| good	0.53 \| good
2026-01-22T16:00:00.000Z	58 \| moderate	13.211 \| fine	50.101 \| good	29.447 \| good	0.552 \| good	10.985 \| good	0.446 \| good
2026-01-22T17:00:00.000Z	56 \| moderate	12.429 \| fine	53.459 \| good	31.658 \| good	0.493 \| good	7.972 \| good	0.337 \| good
2026-01-22T18:00:00.000Z	56 \| moderate	11.623 \| good	37.559 \| good	36.557 \| good	0.453 \| good	5.201 \| good	0.264 \| good
2026-01-22T19:00:00.000Z	49 \| good	9.158 \| good	38.328 \| good	35.66 \| good	0.393 \| good	5.043 \| good	0.264 \| good
2026-01-22T20:00:00.000Z	49 \| good	8.795 \| good	40.264 \| good	37.248 \| good	0.367 \| good	4.448 \| good	0.264 \| good
2026-01-22T21:00:00.000Z	44 \| good	8.379 \| good	34.458 \| good	37.456 \| good	0.366 \| good	4.734 \| good	0.365 \| good
2026-01-22T22:00:00.000Z	38 \| good	7.378 \| good	30.28 \| good	37.205 \| good	0.395 \| good	3.238 \| good	0.305 \| good
2026-01-22T23:00:00.000Z	38 \| good	6.823 \| good	29.308 \| good	35.937 \| good	0.427 \| good	11.317 \| good	0.348 \| good
2026-01-23T00:00:00.000Z	38 \| good	7.039 \| good	22.655 \| good	37.346 \| good	0.436 \| good	16.318 \| good	0.373 \| good
2026-01-23T01:00:00.000Z	52 \| moderate	9.807 \| good	39.829 \| good	35.374 \| good	0.496 \| good	15.772 \| good	0.393 \| good
2026-01-23T02:00:00.000Z	38 \| good	6.859 \| good	29.062 \| good	31.227 \| good	0.514 \| good	15.413 \| good	0.393 \| good
2026-01-23T03:00:00.000Z	41 \| good	4.356 \| good	43.698 \| good	25.779 \| good	0.56 \| good	18.431 \| good	0.322 \| good
2026-01-23T04:00:00.000Z	23 \| good	4.269 \| good	24.891 \| good	22.344 \| good	0.561 \| good	13.429 \| good	0.322 \| good
2026-01-23T05:00:00.000Z	38 \| good	6.843 \| good	29.085 \| good	24.657 \| good	0.529 \| good	13.858 \| good	0.294 \| good
2026-01-23T06:00:00.000Z	29 \| good	4.102 \| good	18.953 \| good	30.791 \| good	0.652 \| good	14.472 \| good	0.275 \| good
2026-01-23T07:00:00.000Z	22 \| good	3.979 \| good	17.684 \| good	23.524 \| good	0.67 \| good	14.508 \| good	0.255 \| good
2026-01-23T08:00:00.000Z	24 \| good	4.168 \| good	19.759 \| good	26.392 \| good	0.634 \| good	23.225 \| good	0.264 \| good
2026-01-23T09:00:00.000Z	24 \| good	3.643 \| good	15.759 \| good	26.057 \| good	0.92 \| good	24.944 \| good	0.319 \| good
2026-01-23T10:00:00.000Z	26 \| good	3.989 \| good	16.59 \| good	23.385 \| good	0.941 \| good	28.131 \| good	0.319 \| good
2026-01-23T11:00:00.000Z	29 \| good	4.528 \| good	20.18 \| good	12.975 \| good	0.932 \| good	31.224 \| good	0.361 \| good
2026-01-23T12:00:00.000Z	33 \| good	6.491 \| good	23.467 \| good	16.267 \| good	0.998 \| good	25.638 \| good	0.431 \| good
2026-01-23T12:00:00.000Z	33 \| good	6.491 \| good	23.467 \| good	16.267 \| good	0.998 \| good	25.638 \| good	0.431 \| good
2026-01-23T13:00:00.000Z	54 \| moderate	11.27 \| good	50.091 \| good	20.176 \| good	3.153 \| good	6.481 \| good	0.217 \| good
2026-01-23T14:00:00.000Z	54 \| moderate	11.491 \| good	51.003 \| good	24.079 \| good	3.133 \| good	5.409 \| good	0.207 \| good
2026-01-23T15:00:00.000Z	54 \| moderate	11.296 \| good	49.891 \| good	26.378 \| good	3.113 \| good	4.338 \| good	0.197 \| good
2026-01-23T16:00:00.000Z	54 \| moderate	11.016 \| good	48.7 \| good	29.38 \| good	2.755 \| good	3.615 \| good	0.185 \| good
2026-01-23T17:00:00.000Z	54 \| moderate	10.923 \| good	48.463 \| good	31.793 \| good	2.397 \| good	2.891 \| good	0.174 \| good
2026-01-23T18:00:00.000Z	49 \| good	8.519 \| good	37.119 \| good	34.591 \| good	2.039 \| good	2.168 \| good	0.162 \| good
2026-01-23T19:00:00.000Z	35 \| good	6.324 \| good	28.017 \| good	37.935 \| good	1.902 \| good	2.321 \| good	0.16 \| good
2026-01-23T20:00:00.000Z	36 \| good	5.423 \| good	23.274 \| good	38.682 \| good	1.765 \| good	2.474 \| good	0.158 \| good
2026-01-23T21:00:00.000Z	37 \| good	3.903 \| good	17.217 \| good	39.529 \| good	1.628 \| good	2.627 \| good	0.157 \| good
2026-01-23T22:00:00.000Z	35 \| good	3.73 \| good	16.079 \| good	37.719 \| good	1.401 \| good	2.56 \| good	0.155 \| good
2026-01-23T23:00:00.000Z	31 \| good	3.629 \| good	16 \| good	34.451 \| good	1.173 \| good	2.493 \| good	0.154 \| good
2026-01-24T00:00:00.000Z	31 \| good	2.996 \| good	12.583 \| good	33.298 \| good	0.946 \| good	2.427 \| good	0.153 \| good
2026-01-24T01:00:00.000Z	31 \| good	2.854 \| good	11.963 \| good	32.703 \| good	0.944 \| good	2.28 \| good	0.15 \| good
2026-01-24T02:00:00.000Z	29 \| good	2.257 \| good	9.226 \| good	31.162 \| good	0.941 \| good	2.133 \| good	0.147 \| good
2026-01-24T03:00:00.000Z	29 \| good	2.744 \| good	11.093 \| good	30.615 \| good	0.939 \| good	1.987 \| good	0.144 \| good
2026-01-24T04:00:00.000Z	27 \| good	3.123 \| good	12.795 \| good	28.513 \| good	0.981 \| good	1.912 \| good	0.144 \| good
2026-01-24T05:00:00.000Z	25 \| good	3.652 \| good	16.007 \| good	27.419 \| good	1.023 \| good	1.837 \| good	0.143 \| good
2026-01-24T06:00:00.000Z	25 \| good	4.281 \| good	18.953 \| good	27.463 \| good	1.065 \| good	1.762 \| good	0.143 \| good
2026-01-24T07:00:00.000Z	27 \| good	4.837 \| good	21.032 \| good	27.274 \| good	1.057 \| good	1.709 \| good	0.144 \| good
2026-01-24T08:00:00.000Z	33 \| good	5.555 \| good	24.076 \| good	26.368 \| good	1.049 \| good	1.656 \| good	0.145 \| good
2026-01-24T09:00:00.000Z	33 \| good	6.028 \| good	26.882 \| good	25.29 \| good	1.041 \| good	1.602 \| good	0.145 \| good
2026-01-24T10:00:00.000Z	33 \| good	5.976 \| good	26.882 \| good	24.703 \| good	1.042 \| good	1.868 \| good	0.148 \| good
2026-01-24T11:00:00.000Z	38 \| good	6.508 \| good	28.736 \| good	21.902 \| good	1.044 \| good	2.135 \| good	0.151 \| good
2026-01-24T12:00:00.000Z	33 \| good	5.847 \| good	25.104 \| good	21.393 \| good	1.045 \| good	2.401 \| good	0.155 \| good
2026-01-24T13:00:00.000Z	38 \| good	6.885 \| good	30.157 \| good	22.871 \| good	1.084 \| good	2.284 \| good	0.156 \| good
2026-01-24T14:00:00.000Z	44 \| good	7.754 \| good	34.019 \| good	23.115 \| good	1.123 \| good	2.167 \| good	0.158 \| good
2026-01-24T15:00:00.000Z	44 \| good	8.499 \| good	37.244 \| good	23.296 \| good	1.162 \| good	2.049 \| good	0.16 \| good
2026-01-24T16:00:00.000Z	49 \| good	8.778 \| good	38.629 \| good	23.997 \| good	1.219 \| good	1.884 \| good	0.159 \| good
2026-01-24T17:00:00.000Z	52 \| moderate	9.543 \| good	42.411 \| good	25.89 \| good	1.276 \| good	1.719 \| good	0.158 \| good
2026-01-24T18:00:00.000Z	38 \| good	6.691 \| good	29.922 \| good	28.365 \| good	1.332 \| good	1.554 \| good	0.157 \| good
2026-01-24T19:00:00.000Z	27 \| good	4.76 \| good	20.912 \| good	28.608 \| good	1.404 \| good	1.888 \| good	0.157 \| good
2026-01-24T20:00:00.000Z	27 \| good	3.546 \| good	15.905 \| good	28.824 \| good	1.475 \| good	2.221 \| good	0.158 \| good
2026-01-24T21:00:00.000Z	28 \| good	2.781 \| good	11.304 \| good	30.46 \| good	1.547 \| good	2.555 \| good	0.158 \| good
2026-01-24T22:00:00.000Z	27 \| good	3.684 \| good	16.085 \| good	28.866 \| good	1.618 \| good	3.316 \| good	0.165 \| good
2026-01-24T23:00:00.000Z	27 \| good	3.884 \| good	17.032 \| good	28.555 \| good	1.689 \| good	4.077 \| good	0.172 \| good
2026-01-25T00:00:00.000Z	26 \| good	3.536 \| good	15.918 \| good	28.083 \| good	1.761 \| good	4.839 \| good	0.179 \| good
2026-01-25T01:00:00.000Z	28 \| good	3.495 \| good	15.276 \| good	29.894 \| good	1.563 \| good	4.519 \| good	0.176 \| good
2026-01-25T02:00:00.000Z	29 \| good	3.645 \| good	16.021 \| good	30.547 \| good	1.366 \| good	4.2 \| good	0.173 \| good
2026-01-25T03:00:00.000Z	28 \| good	3.959 \| good	17.337 \| good	29.923 \| good	1.169 \| good	3.881 \| good	0.17 \| good
2026-01-25T04:00:00.000Z	27 \| good	4.053 \| good	17.973 \| good	28.995 \| good	1.081 \| good	3.694 \| good	0.169 \| good
2026-01-25T05:00:00.000Z	27 \| good	4.855 \| good	21.082 \| good	28.168 \| good	0.994 \| good	3.508 \| good	0.168 \| good
2026-01-25T06:00:00.000Z	27 \| good	3.966 \| good	4.162 \| good	29.307 \| good	0.918 \| good	3.324 \| good	0.168 \| good
2026-01-25T07:00:00.000Z	33 \| good	6.119 \| good	27.252 \| good	24.402 \| good	0.881 \| good	3.195 \| good	0.166 \| good
2026-01-25T08:00:00.000Z	38 \| good	6.679 \| good	29.947 \| good	22.552 \| good	0.856 \| good	3.07 \| good	0.165 \| good
2026-01-25T09:00:00.000Z	44 \| good	7.553 \| good	33.248 \| good	23.608 \| good	0.831 \| good	2.945 \| good	0.164 \| good
2026-01-25T10:00:00.000Z	44 \| good	8.023 \| good	35.124 \| good	23.012 \| good	0.84 \| good	3.264 \| good	0.166 \| good
2026-01-25T11:00:00.000Z	49 \| good	9.248 \| good	41.072 \| good	20.336 \| good	0.848 \| good	3.583 \| good	0.167 \| good
2026-01-25T12:00:00.000Z	27 \| good	4.207 \| good	4.415 \| good	29.063 \| good	0.865 \| good	3.91 \| good	0.169 \| good

Exeter township

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

0.35ppm

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 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 04:00:00 on 2026-01-22.

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 07:00:00 on 2026-01-23.

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 6.491 μg/m³.

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

The current PM₁₀ concentration at Exeter Township, Pennsylvania is 23.467 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 0.431 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 0.998 ppb.

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

The current ozone (O₃) concentration at Exeter Township, Pennsylvania is 16.267 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 25.638 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-21T13:00:00.000Z	56 \| moderate	12.335 \| fine	51.334 \| good	3.352 \| good	1.322 \| good	27.896 \| good	0.689 \| good
2026-01-21T14:00:00.000Z	58 \| moderate	13.188 \| fine	53.106 \| good	3.42 \| good	1.165 \| good	36.357 \| good	0.705 \| good
2026-01-21T15:00:00.000Z	75 \| moderate	21.648 \| fine	73.071 \| fine	6.004 \| good	1.279 \| good	25.357 \| good	0.787 \| good
2026-01-21T16:00:00.000Z	77 \| moderate	23.354 \| fine	106.465 \| fine	12.19 \| good	1.146 \| good	15.878 \| good	0.586 \| good
2026-01-21T17:00:00.000Z	69 \| moderate	19.179 \| fine	66.981 \| fine	15.036 \| good	1.085 \| good	17.59 \| good	0.743 \| good
2026-01-21T18:00:00.000Z	56 \| moderate	12.348 \| fine	58.452 \| fine	22.574 \| good	1.045 \| good	10.451 \| good	0.281 \| good
2026-01-21T19:00:00.000Z	49 \| good	8.623 \| good	31.9 \| good	30.873 \| good	0.846 \| good	8.902 \| good	0.261 \| good
2026-01-21T20:00:00.000Z	33 \| good	6.412 \| good	20.928 \| good	30.886 \| good	0.528 \| good	7.107 \| good	0.239 \| good
2026-01-21T21:00:00.000Z	33 \| good	5.526 \| good	26.519 \| good	32.746 \| good	0.434 \| good	7.762 \| good	0.34 \| good
2026-01-21T22:00:00.000Z	33 \| good	5.599 \| good	22.485 \| good	30.193 \| good	0.428 \| good	8.478 \| good	0.291 \| good
2026-01-21T23:00:00.000Z	30 \| good	4.611 \| good	21.741 \| good	31.536 \| good	0.401 \| good	10.358 \| good	0.337 \| good
2026-01-22T00:00:00.000Z	28 \| good	4.805 \| good	23.64 \| good	30.392 \| good	0.415 \| good	13.777 \| good	0.322 \| good
2026-01-22T01:00:00.000Z	33 \| good	5.661 \| good	26.408 \| good	34.73 \| good	0.417 \| good	14.124 \| good	0.302 \| good
2026-01-22T02:00:00.000Z	30 \| good	4.845 \| good	18.203 \| good	31.7 \| good	0.483 \| good	15.426 \| good	0.328 \| good
2026-01-22T03:00:00.000Z	30 \| good	4.815 \| good	23.489 \| good	31.737 \| good	0.408 \| good	10.753 \| good	0.317 \| good
2026-01-22T04:00:00.000Z	28 \| good	4.039 \| good	22.51 \| good	30.398 \| good	0.404 \| good	10.856 \| good	0.306 \| good
2026-01-22T05:00:00.000Z	29 \| good	5.316 \| good	23.845 \| good	31.148 \| good	0.358 \| good	12.235 \| good	0.326 \| good
2026-01-22T06:00:00.000Z	31 \| good	5.348 \| good	23.203 \| good	33.085 \| good	0.378 \| good	9.798 \| good	0.3 \| good
2026-01-22T07:00:00.000Z	33 \| good	5.574 \| good	20.996 \| good	31.564 \| good	0.379 \| good	9.019 \| good	0.275 \| good
2026-01-22T08:00:00.000Z	38 \| good	6.503 \| good	24.233 \| good	29.641 \| good	0.49 \| good	9.244 \| good	0.275 \| good
2026-01-22T09:00:00.000Z	38 \| good	7.412 \| good	37.32 \| good	28.133 \| good	0.402 \| good	13.164 \| good	0.255 \| good
2026-01-22T10:00:00.000Z	44 \| good	7.871 \| good	32.87 \| good	25.944 \| good	0.394 \| good	15.379 \| good	0.285 \| good
2026-01-22T11:00:00.000Z	49 \| good	9.374 \| good	42.192 \| good	27.584 \| good	0.447 \| good	17.207 \| good	0.341 \| good
2026-01-22T12:00:00.000Z	52 \| moderate	10.436 \| good	51.083 \| good	22.99 \| good	0.514 \| good	16.241 \| good	0.372 \| good
2026-01-22T13:00:00.000Z	52 \| moderate	10.431 \| good	40.121 \| good	21.66 \| good	0.514 \| good	15.632 \| good	0.414 \| good
2026-01-22T14:00:00.000Z	56 \| moderate	12.38 \| fine	51.207 \| good	25.287 \| good	0.759 \| good	17.503 \| good	0.503 \| good
2026-01-22T15:00:00.000Z	58 \| moderate	13.31 \| fine	52.571 \| good	26.841 \| good	0.632 \| good	13.708 \| good	0.53 \| good
2026-01-22T16:00:00.000Z	58 \| moderate	13.211 \| fine	50.101 \| good	29.447 \| good	0.552 \| good	10.985 \| good	0.446 \| good
2026-01-22T17:00:00.000Z	56 \| moderate	12.429 \| fine	53.459 \| good	31.658 \| good	0.493 \| good	7.972 \| good	0.337 \| good
2026-01-22T18:00:00.000Z	56 \| moderate	11.623 \| good	37.559 \| good	36.557 \| good	0.453 \| good	5.201 \| good	0.264 \| good
2026-01-22T19:00:00.000Z	49 \| good	9.158 \| good	38.328 \| good	35.66 \| good	0.393 \| good	5.043 \| good	0.264 \| good
2026-01-22T20:00:00.000Z	49 \| good	8.795 \| good	40.264 \| good	37.248 \| good	0.367 \| good	4.448 \| good	0.264 \| good
2026-01-22T21:00:00.000Z	44 \| good	8.379 \| good	34.458 \| good	37.456 \| good	0.366 \| good	4.734 \| good	0.365 \| good
2026-01-22T22:00:00.000Z	38 \| good	7.378 \| good	30.28 \| good	37.205 \| good	0.395 \| good	3.238 \| good	0.305 \| good
2026-01-22T23:00:00.000Z	38 \| good	6.823 \| good	29.308 \| good	35.937 \| good	0.427 \| good	11.317 \| good	0.348 \| good
2026-01-23T00:00:00.000Z	38 \| good	7.039 \| good	22.655 \| good	37.346 \| good	0.436 \| good	16.318 \| good	0.373 \| good
2026-01-23T01:00:00.000Z	52 \| moderate	9.807 \| good	39.829 \| good	35.374 \| good	0.496 \| good	15.772 \| good	0.393 \| good
2026-01-23T02:00:00.000Z	38 \| good	6.859 \| good	29.062 \| good	31.227 \| good	0.514 \| good	15.413 \| good	0.393 \| good
2026-01-23T03:00:00.000Z	41 \| good	4.356 \| good	43.698 \| good	25.779 \| good	0.56 \| good	18.431 \| good	0.322 \| good
2026-01-23T04:00:00.000Z	23 \| good	4.269 \| good	24.891 \| good	22.344 \| good	0.561 \| good	13.429 \| good	0.322 \| good
2026-01-23T05:00:00.000Z	38 \| good	6.843 \| good	29.085 \| good	24.657 \| good	0.529 \| good	13.858 \| good	0.294 \| good
2026-01-23T06:00:00.000Z	29 \| good	4.102 \| good	18.953 \| good	30.791 \| good	0.652 \| good	14.472 \| good	0.275 \| good
2026-01-23T07:00:00.000Z	22 \| good	3.979 \| good	17.684 \| good	23.524 \| good	0.67 \| good	14.508 \| good	0.255 \| good
2026-01-23T08:00:00.000Z	24 \| good	4.168 \| good	19.759 \| good	26.392 \| good	0.634 \| good	23.225 \| good	0.264 \| good
2026-01-23T09:00:00.000Z	24 \| good	3.643 \| good	15.759 \| good	26.057 \| good	0.92 \| good	24.944 \| good	0.319 \| good
2026-01-23T10:00:00.000Z	26 \| good	3.989 \| good	16.59 \| good	23.385 \| good	0.941 \| good	28.131 \| good	0.319 \| good
2026-01-23T11:00:00.000Z	29 \| good	4.528 \| good	20.18 \| good	12.975 \| good	0.932 \| good	31.224 \| good	0.361 \| good
2026-01-23T12:00:00.000Z	33 \| good	6.491 \| good	23.467 \| good	16.267 \| good	0.998 \| good	25.638 \| good	0.431 \| good
2026-01-23T12:00:00.000Z	33 \| good	6.491 \| good	23.467 \| good	16.267 \| good	0.998 \| good	25.638 \| good	0.431 \| good
2026-01-23T13:00:00.000Z	54 \| moderate	11.27 \| good	50.091 \| good	20.176 \| good	3.153 \| good	6.481 \| good	0.217 \| good
2026-01-23T14:00:00.000Z	54 \| moderate	11.491 \| good	51.003 \| good	24.079 \| good	3.133 \| good	5.409 \| good	0.207 \| good
2026-01-23T15:00:00.000Z	54 \| moderate	11.296 \| good	49.891 \| good	26.378 \| good	3.113 \| good	4.338 \| good	0.197 \| good
2026-01-23T16:00:00.000Z	54 \| moderate	11.016 \| good	48.7 \| good	29.38 \| good	2.755 \| good	3.615 \| good	0.185 \| good
2026-01-23T17:00:00.000Z	54 \| moderate	10.923 \| good	48.463 \| good	31.793 \| good	2.397 \| good	2.891 \| good	0.174 \| good
2026-01-23T18:00:00.000Z	49 \| good	8.519 \| good	37.119 \| good	34.591 \| good	2.039 \| good	2.168 \| good	0.162 \| good
2026-01-23T19:00:00.000Z	35 \| good	6.324 \| good	28.017 \| good	37.935 \| good	1.902 \| good	2.321 \| good	0.16 \| good
2026-01-23T20:00:00.000Z	36 \| good	5.423 \| good	23.274 \| good	38.682 \| good	1.765 \| good	2.474 \| good	0.158 \| good
2026-01-23T21:00:00.000Z	37 \| good	3.903 \| good	17.217 \| good	39.529 \| good	1.628 \| good	2.627 \| good	0.157 \| good
2026-01-23T22:00:00.000Z	35 \| good	3.73 \| good	16.079 \| good	37.719 \| good	1.401 \| good	2.56 \| good	0.155 \| good
2026-01-23T23:00:00.000Z	31 \| good	3.629 \| good	16 \| good	34.451 \| good	1.173 \| good	2.493 \| good	0.154 \| good
2026-01-24T00:00:00.000Z	31 \| good	2.996 \| good	12.583 \| good	33.298 \| good	0.946 \| good	2.427 \| good	0.153 \| good
2026-01-24T01:00:00.000Z	31 \| good	2.854 \| good	11.963 \| good	32.703 \| good	0.944 \| good	2.28 \| good	0.15 \| good
2026-01-24T02:00:00.000Z	29 \| good	2.257 \| good	9.226 \| good	31.162 \| good	0.941 \| good	2.133 \| good	0.147 \| good
2026-01-24T03:00:00.000Z	29 \| good	2.744 \| good	11.093 \| good	30.615 \| good	0.939 \| good	1.987 \| good	0.144 \| good
2026-01-24T04:00:00.000Z	27 \| good	3.123 \| good	12.795 \| good	28.513 \| good	0.981 \| good	1.912 \| good	0.144 \| good
2026-01-24T05:00:00.000Z	25 \| good	3.652 \| good	16.007 \| good	27.419 \| good	1.023 \| good	1.837 \| good	0.143 \| good
2026-01-24T06:00:00.000Z	25 \| good	4.281 \| good	18.953 \| good	27.463 \| good	1.065 \| good	1.762 \| good	0.143 \| good
2026-01-24T07:00:00.000Z	27 \| good	4.837 \| good	21.032 \| good	27.274 \| good	1.057 \| good	1.709 \| good	0.144 \| good
2026-01-24T08:00:00.000Z	33 \| good	5.555 \| good	24.076 \| good	26.368 \| good	1.049 \| good	1.656 \| good	0.145 \| good
2026-01-24T09:00:00.000Z	33 \| good	6.028 \| good	26.882 \| good	25.29 \| good	1.041 \| good	1.602 \| good	0.145 \| good
2026-01-24T10:00:00.000Z	33 \| good	5.976 \| good	26.882 \| good	24.703 \| good	1.042 \| good	1.868 \| good	0.148 \| good
2026-01-24T11:00:00.000Z	38 \| good	6.508 \| good	28.736 \| good	21.902 \| good	1.044 \| good	2.135 \| good	0.151 \| good
2026-01-24T12:00:00.000Z	33 \| good	5.847 \| good	25.104 \| good	21.393 \| good	1.045 \| good	2.401 \| good	0.155 \| good
2026-01-24T13:00:00.000Z	38 \| good	6.885 \| good	30.157 \| good	22.871 \| good	1.084 \| good	2.284 \| good	0.156 \| good
2026-01-24T14:00:00.000Z	44 \| good	7.754 \| good	34.019 \| good	23.115 \| good	1.123 \| good	2.167 \| good	0.158 \| good
2026-01-24T15:00:00.000Z	44 \| good	8.499 \| good	37.244 \| good	23.296 \| good	1.162 \| good	2.049 \| good	0.16 \| good
2026-01-24T16:00:00.000Z	49 \| good	8.778 \| good	38.629 \| good	23.997 \| good	1.219 \| good	1.884 \| good	0.159 \| good
2026-01-24T17:00:00.000Z	52 \| moderate	9.543 \| good	42.411 \| good	25.89 \| good	1.276 \| good	1.719 \| good	0.158 \| good
2026-01-24T18:00:00.000Z	38 \| good	6.691 \| good	29.922 \| good	28.365 \| good	1.332 \| good	1.554 \| good	0.157 \| good
2026-01-24T19:00:00.000Z	27 \| good	4.76 \| good	20.912 \| good	28.608 \| good	1.404 \| good	1.888 \| good	0.157 \| good
2026-01-24T20:00:00.000Z	27 \| good	3.546 \| good	15.905 \| good	28.824 \| good	1.475 \| good	2.221 \| good	0.158 \| good
2026-01-24T21:00:00.000Z	28 \| good	2.781 \| good	11.304 \| good	30.46 \| good	1.547 \| good	2.555 \| good	0.158 \| good
2026-01-24T22:00:00.000Z	27 \| good	3.684 \| good	16.085 \| good	28.866 \| good	1.618 \| good	3.316 \| good	0.165 \| good
2026-01-24T23:00:00.000Z	27 \| good	3.884 \| good	17.032 \| good	28.555 \| good	1.689 \| good	4.077 \| good	0.172 \| good
2026-01-25T00:00:00.000Z	26 \| good	3.536 \| good	15.918 \| good	28.083 \| good	1.761 \| good	4.839 \| good	0.179 \| good
2026-01-25T01:00:00.000Z	28 \| good	3.495 \| good	15.276 \| good	29.894 \| good	1.563 \| good	4.519 \| good	0.176 \| good
2026-01-25T02:00:00.000Z	29 \| good	3.645 \| good	16.021 \| good	30.547 \| good	1.366 \| good	4.2 \| good	0.173 \| good
2026-01-25T03:00:00.000Z	28 \| good	3.959 \| good	17.337 \| good	29.923 \| good	1.169 \| good	3.881 \| good	0.17 \| good
2026-01-25T04:00:00.000Z	27 \| good	4.053 \| good	17.973 \| good	28.995 \| good	1.081 \| good	3.694 \| good	0.169 \| good
2026-01-25T05:00:00.000Z	27 \| good	4.855 \| good	21.082 \| good	28.168 \| good	0.994 \| good	3.508 \| good	0.168 \| good
2026-01-25T06:00:00.000Z	27 \| good	3.966 \| good	4.162 \| good	29.307 \| good	0.918 \| good	3.324 \| good	0.168 \| good
2026-01-25T07:00:00.000Z	33 \| good	6.119 \| good	27.252 \| good	24.402 \| good	0.881 \| good	3.195 \| good	0.166 \| good
2026-01-25T08:00:00.000Z	38 \| good	6.679 \| good	29.947 \| good	22.552 \| good	0.856 \| good	3.07 \| good	0.165 \| good
2026-01-25T09:00:00.000Z	44 \| good	7.553 \| good	33.248 \| good	23.608 \| good	0.831 \| good	2.945 \| good	0.164 \| good
2026-01-25T10:00:00.000Z	44 \| good	8.023 \| good	35.124 \| good	23.012 \| good	0.84 \| good	3.264 \| good	0.166 \| good
2026-01-25T11:00:00.000Z	49 \| good	9.248 \| good	41.072 \| good	20.336 \| good	0.848 \| good	3.583 \| good	0.167 \| good
2026-01-25T12:00:00.000Z	27 \| good	4.207 \| good	4.415 \| good	29.063 \| good	0.865 \| good	3.91 \| good	0.169 \| good

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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)

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