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

The current PM10 concentration at Carlisle, Pennsylvania is 11.008 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Carlisle, Pennsylvania is 0.162 ppb.

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

The current ozone (O3) concentration at Carlisle, Pennsylvania is 31.742 ppm.

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

The current nitrogen dioxide (NO2) concentration at Carlisle, Pennsylvania is 1.928 ppb.

Carlisle, Pennsylvania live air quality index now

Name: Live air pollution levels in Carlisle, Pennsylvania today
Creator: Ambee

Stay updated with real-time air quality in Carlisle, 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

Carlisle, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Carlisle, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.02 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.13 μg/m³

155

255

425

605+

Ozone (O₃)

26.22 ppb

201

201+

Sulfur Dioxide (SO₂)

0.15 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.55 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.32 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Carlisle, Pennsylvania

Get Live Pollen Counts

Carlisle, Pennsylvania

Scroll To Air Quality Map

Track live Carlisle, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	33 \| good	6.495 \| good	28.884 \| good	32.299 \| good	0.282 \| good	14.795 \| good	0.339 \| good
2025-10-19T04:00:00.000Z	33 \| good	6.404 \| good	28.906 \| good	24.085 \| good	0.301 \| good	11.038 \| good	0.339 \| good
2025-10-19T05:00:00.000Z	38 \| good	6.585 \| good	29.807 \| good	17.379 \| good	0.283 \| good	12.395 \| good	0.445 \| good
2025-10-19T06:00:00.000Z	38 \| good	7.086 \| good	32.125 \| good	15.476 \| good	0.244 \| good	12.037 \| good	0.374 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.39 \| good	32.888 \| good	20.29 \| good	0.243 \| good	14.477 \| good	0.356 \| good
2025-10-19T08:00:00.000Z	44 \| good	7.59 \| good	33.97 \| good	16.563 \| good	0.216 \| good	10.591 \| good	0.332 \| good
2025-10-19T09:00:00.000Z	44 \| good	7.725 \| good	34.051 \| good	13.241 \| good	0.189 \| good	9.911 \| good	0.313 \| good
2025-10-19T10:00:00.000Z	44 \| good	7.932 \| good	35.112 \| good	15.25 \| good	0.205 \| good	7.953 \| good	0.333 \| good
2025-10-19T11:00:00.000Z	44 \| good	8.16 \| good	36.296 \| good	17.646 \| good	0.264 \| good	7.965 \| good	0.29 \| good
2025-10-19T12:00:00.000Z	44 \| good	8.282 \| good	36.301 \| good	15.403 \| good	0.171 \| good	12.791 \| good	0.333 \| good
2025-10-19T13:00:00.000Z	49 \| good	8.539 \| good	37.36 \| good	13.372 \| good	0.192 \| good	11.442 \| good	0.333 \| good
2025-10-19T14:00:00.000Z	49 \| good	8.547 \| good	37.288 \| good	23.114 \| good	0.185 \| good	7.197 \| good	0.292 \| good
2025-10-19T15:00:00.000Z	49 \| good	8.885 \| good	39.383 \| good	28.246 \| good	0.19 \| good	5.067 \| good	0.238 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.677 \| good	43.047 \| good	30.351 \| good	0.256 \| good	4.258 \| good	0.218 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	10.459 \| good	46.085 \| good	35.162 \| good	0.255 \| good	3.902 \| good	0.218 \| good
2025-10-19T18:00:00.000Z	54 \| moderate	10.824 \| good	47.878 \| good	38.321 \| good	0.232 \| good	4.121 \| good	0.177 \| good
2025-10-19T19:00:00.000Z	54 \| moderate	10.693 \| good	47.889 \| good	40.808 \| good	0.255 \| good	3.209 \| good	0.218 \| good
2025-10-19T20:00:00.000Z	52 \| moderate	10.181 \| good	44.776 \| good	43.226 \| good	0.236 \| good	2.699 \| good	0.196 \| good
2025-10-19T21:00:00.000Z	52 \| moderate	9.882 \| good	43.987 \| good	44.624 \| good	0.26 \| good	2.991 \| good	0.177 \| good
2025-10-19T22:00:00.000Z	52 \| moderate	9.782 \| good	43.837 \| good	45.431 \| good	0.259 \| good	3.635 \| good	0.177 \| good
2025-10-19T23:00:00.000Z	54 \| moderate	10.593 \| good	47.382 \| good	45.607 \| good	0.283 \| good	4.317 \| good	0.177 \| good
2025-10-20T00:00:00.000Z	60 \| moderate	13.525 \| fine	61.158 \| fine	44.588 \| good	0.273 \| good	4.966 \| good	0.177 \| good
2025-10-20T01:00:00.000Z	52 \| moderate	10.075 \| good	44.867 \| good	41.83 \| good	0.232 \| good	4.977 \| good	0.199 \| good
2025-10-20T02:00:00.000Z	38 \| good	6.424 \| good	28.678 \| good	40.59 \| good	0.247 \| good	3.319 \| good	0.195 \| good
2025-10-20T03:00:00.000Z	36 \| good	4.658 \| good	20.777 \| good	38.975 \| good	0.244 \| good	3.879 \| good	0.138 \| good
2025-10-20T04:00:00.000Z	35 \| good	3.879 \| good	16.816 \| good	37.518 \| good	0.227 \| good	3.423 \| good	0.138 \| good
2025-10-20T05:00:00.000Z	33 \| good	3.481 \| good	15.774 \| good	36.272 \| good	0.216 \| good	2.677 \| good	0.138 \| good
2025-10-20T06:00:00.000Z	33 \| good	2.836 \| good	12.127 \| good	36.373 \| good	0.201 \| good	2.513 \| good	0.138 \| good
2025-10-20T07:00:00.000Z	34 \| good	2.332 \| good	10.165 \| good	37.307 \| good	0.258 \| good	2.585 \| good	0.138 \| good
2025-10-20T08:00:00.000Z	31 \| good	2.023 \| good	8.127 \| good	32.519 \| good	0.212 \| good	4.393 \| good	0.138 \| good
2025-10-20T09:00:00.000Z	26 \| good	1.605 \| good	6.989 \| good	28.252 \| good	0.225 \| good	5.368 \| good	0.156 \| good
2025-10-20T10:00:00.000Z	18 \| good	1.204 \| good	5.022 \| good	18.808 \| good	0.227 \| good	3.647 \| good	0.138 \| good
2025-10-20T11:00:00.000Z	25 \| good	0.933 \| good	4.121 \| good	26.728 \| good	0.211 \| good	4.742 \| good	0.138 \| good
2025-10-20T12:00:00.000Z	18 \| good	0.919 \| good	4.091 \| good	18.799 \| good	0.231 \| good	4.835 \| good	0.14 \| good
2025-10-20T13:00:00.000Z	19 \| good	1.207 \| good	5.032 \| good	20.966 \| good	0.212 \| good	3.961 \| good	0.177 \| good
2025-10-20T14:00:00.000Z	18 \| good	1.631 \| good	7.145 \| good	18.708 \| good	0.252 \| good	3.435 \| good	0.156 \| good
2025-10-20T15:00:00.000Z	18 \| good	2.243 \| good	9.096 \| good	19.145 \| good	0.249 \| good	2.614 \| good	0.137 \| good
2025-10-20T16:00:00.000Z	27 \| good	2.539 \| good	10.289 \| good	29.466 \| good	0.193 \| good	2.913 \| good	0.12 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.646 \| good	11.202 \| good	29.467 \| good	0.255 \| good	3.075 \| good	0.141 \| good
2025-10-20T18:00:00.000Z	29 \| good	2.632 \| good	11.179 \| good	31.148 \| good	0.186 \| good	2.739 \| good	0.138 \| good
2025-10-20T19:00:00.000Z	29 \| good	2.624 \| good	11.117 \| good	30.817 \| good	0.191 \| good	2.956 \| good	0.138 \| good
2025-10-20T20:00:00.000Z	29 \| good	2.618 \| good	11.1 \| good	30.598 \| good	0.195 \| good	2.266 \| good	0.138 \| good
2025-10-20T21:00:00.000Z	28 \| good	2.515 \| good	10.063 \| good	30.259 \| good	0.155 \| good	2.052 \| good	0.138 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.522 \| good	10.111 \| good	31.168 \| good	0.173 \| good	1.281 \| good	0.138 \| good
2025-10-20T23:00:00.000Z	30 \| good	2.604 \| good	11.008 \| good	31.742 \| good	0.162 \| good	1.928 \| good	0.137 \| good
2025-10-21T00:00:00.000Z	28 \| good	2.619 \| good	11.063 \| good	29.815 \| good	0.191 \| good	2.934 \| good	0.137 \| good
2025-10-21T01:00:00.000Z	24 \| good	2.718 \| good	11.105 \| good	26.473 \| good	0.165 \| good	3.953 \| good	0.158 \| good
2025-10-21T02:00:00.000Z	24 \| good	3.016 \| good	12.129 \| good	26.223 \| good	0.146 \| good	5.546 \| good	0.323 \| good
2025-10-21T02:00:00.000Z	24 \| good	3.016 \| good	12.129 \| good	26.223 \| good	0.146 \| good	5.546 \| good	0.323 \| good
2025-10-21T01:00:00.000Z	30 \| good	5.207 \| good	22.762 \| good	31.808 \| good	1.271 \| good	4.671 \| good	0.136 \| good
2025-10-21T02:00:00.000Z	33 \| good	5.745 \| good	25.002 \| good	28.834 \| good	1.349 \| good	5.705 \| good	0.146 \| good
2025-10-21T03:00:00.000Z	27 \| good	4.929 \| good	21.035 \| good	26.558 \| good	1.427 \| good	6.739 \| good	0.156 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.736 \| good	20.868 \| good	23.085 \| good	1.468 \| good	6.756 \| good	0.157 \| good
2025-10-21T05:00:00.000Z	33 \| good	5.565 \| good	24.003 \| good	18.092 \| good	1.51 \| good	6.773 \| good	0.158 \| good
2025-10-21T06:00:00.000Z	33 \| good	5.669 \| good	24.138 \| good	16.164 \| good	1.551 \| good	6.79 \| good	0.16 \| good
2025-10-21T07:00:00.000Z	33 \| good	6.059 \| good	27.034 \| good	15.919 \| good	1.628 \| good	6.256 \| good	0.157 \| good
2025-10-21T08:00:00.000Z	27 \| good	5.385 \| good	23.098 \| good	16.659 \| good	1.705 \| good	5.722 \| good	0.154 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.176 \| good	27.144 \| good	16.506 \| good	1.782 \| good	5.188 \| good	0.152 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.763 \| good	25.089 \| good	15.772 \| good	1.908 \| good	5.504 \| good	0.158 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.854 \| good	21.134 \| good	15.415 \| good	2.035 \| good	5.82 \| good	0.164 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.407 \| good	23.292 \| good	15.251 \| good	2.161 \| good	6.136 \| good	0.169 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.574 \| good	24.245 \| good	20.363 \| good	2.255 \| good	5.281 \| good	0.166 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.201 \| good	27.249 \| good	25.596 \| good	2.348 \| good	4.426 \| good	0.162 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.785 \| good	25.111 \| good	30.916 \| good	2.442 \| good	3.57 \| good	0.159 \| good
2025-10-21T16:00:00.000Z	34 \| good	6.39 \| good	28.108 \| good	37.016 \| good	2.186 \| good	2.97 \| good	0.155 \| good
2025-10-21T17:00:00.000Z	39 \| good	7.203 \| good	31.927 \| good	41.909 \| good	1.93 \| good	2.37 \| good	0.151 \| good
2025-10-21T18:00:00.000Z	42 \| good	6.032 \| good	26.941 \| good	44.517 \| good	1.674 \| good	1.77 \| good	0.147 \| good
2025-10-21T19:00:00.000Z	38 \| good	5.237 \| good	22.967 \| good	41.221 \| good	1.593 \| good	1.712 \| good	0.146 \| good
2025-10-21T20:00:00.000Z	35 \| good	6.129 \| good	26.971 \| good	37.782 \| good	1.513 \| good	1.654 \| good	0.144 \| good
2025-10-21T21:00:00.000Z	36 \| good	5.712 \| good	24.861 \| good	39.189 \| good	1.432 \| good	1.596 \| good	0.143 \| good
2025-10-21T22:00:00.000Z	35 \| good	5.719 \| good	24.849 \| good	38.325 \| good	1.497 \| good	4.104 \| good	0.166 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.198 \| good	27.747 \| good	36.43 \| good	1.561 \| good	6.611 \| good	0.19 \| good
2025-10-22T00:00:00.000Z	32 \| good	4.824 \| good	21.007 \| good	34.851 \| good	1.626 \| good	9.118 \| good	0.213 \| good
2025-10-22T01:00:00.000Z	29 \| good	5.113 \| good	22.056 \| good	31.352 \| good	1.646 \| good	7.734 \| good	0.199 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.935 \| good	21.286 \| good	27.531 \| good	1.666 \| good	6.35 \| good	0.184 \| good
2025-10-22T03:00:00.000Z	33 \| good	5.718 \| good	24.5 \| good	24.998 \| good	1.686 \| good	4.966 \| good	0.17 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.323 \| good	23.3 \| good	22.59 \| good	1.773 \| good	4.296 \| good	0.159 \| good
2025-10-22T05:00:00.000Z	27 \| good	5.331 \| good	23.251 \| good	21.728 \| good	1.861 \| good	3.625 \| good	0.148 \| good
2025-10-22T06:00:00.000Z	27 \| good	5.075 \| good	22.165 \| good	20.731 \| good	1.949 \| good	2.955 \| good	0.137 \| good
2025-10-22T07:00:00.000Z	27 \| good	4.765 \| good	21.124 \| good	18.45 \| good	2.088 \| good	2.755 \| good	0.133 \| good
2025-10-22T08:00:00.000Z	27 \| good	4.72 \| good	20.281 \| good	17.709 \| good	2.226 \| good	2.554 \| good	0.13 \| good
2025-10-22T09:00:00.000Z	22 \| good	4.058 \| good	18.15 \| good	22.657 \| good	2.365 \| good	2.353 \| good	0.126 \| good
2025-10-22T10:00:00.000Z	22 \| good	3.558 \| good	16.016 \| good	24.138 \| good	2.414 \| good	2.702 \| good	0.128 \| good
2025-10-22T11:00:00.000Z	22 \| good	3.669 \| good	16.071 \| good	23.606 \| good	2.463 \| good	3.051 \| good	0.131 \| good
2025-10-22T12:00:00.000Z	22 \| good	3.696 \| good	16.062 \| good	24.329 \| good	2.511 \| good	3.399 \| good	0.133 \| good
2025-10-22T13:00:00.000Z	25 \| good	3.845 \| good	17.022 \| good	26.944 \| good	2.237 \| good	2.772 \| good	0.131 \| good
2025-10-22T14:00:00.000Z	30 \| good	3.869 \| good	17.009 \| good	31.932 \| good	1.963 \| good	2.145 \| good	0.129 \| good
2025-10-22T15:00:00.000Z	31 \| good	3.802 \| good	16.894 \| good	32.901 \| good	1.689 \| good	1.518 \| good	0.126 \| good
2025-10-22T16:00:00.000Z	32 \| good	4.431 \| good	19.034 \| good	35.208 \| good	1.479 \| good	1.439 \| good	0.124 \| good
2025-10-22T17:00:00.000Z	35 \| good	4.62 \| good	20 \| good	37.675 \| good	1.27 \| good	1.36 \| good	0.122 \| good
2025-10-22T18:00:00.000Z	36 \| good	3.985 \| good	17.115 \| good	38.591 \| good	1.06 \| good	1.281 \| good	0.12 \| good
2025-10-22T19:00:00.000Z	36 \| good	4.072 \| good	17.935 \| good	38.842 \| good	1.04 \| good	1.403 \| good	0.122 \| good
2025-10-22T20:00:00.000Z	34 \| good	4.549 \| good	19.986 \| good	36.553 \| good	1.02 \| good	1.525 \| good	0.123 \| good
2025-10-22T21:00:00.000Z	31 \| good	4.39 \| good	19 \| good	33.835 \| good	1 \| good	1.648 \| good	0.124 \| good
2025-10-22T22:00:00.000Z	29 \| good	4.596 \| good	19.945 \| good	30.613 \| good	1.175 \| good	1.99 \| good	0.127 \| good
2025-10-22T23:00:00.000Z	28 \| good	5.448 \| good	23.073 \| good	29.789 \| good	1.351 \| good	2.332 \| good	0.13 \| good
2025-10-23T00:00:00.000Z	27 \| good	3.532 \| good	3.536 \| good	29.494 \| good	1.498 \| good	2.687 \| good	0.133 \| good

Carlisle

Get reliable air quality data to drive your business

Carlisle, Pennsylvania air quality map: Track AQI near you

0.14ppm

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 Carlisle, Pennsylvania updated?

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

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

The worst air quality in Carlisle, Pennsylvania in the last 24 hours was observed at 12:00:00 on 2025-10-20.

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

In the last 24 hrs, the best air quality in Carlisle, Pennsylvania was observed at 03:00:00 on 2025-10-20.

What is the current air quality in Carlisle, Pennsylvania?

The current air quality in Carlisle, Pennsylvania is 30, categorized as Good based on real-time data.

What pollutant is the most common in Carlisle, Pennsylvania?

The most common pollutant in Carlisle, Pennsylvania is O3.

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

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

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

The current PM_2.5 concentration at Carlisle, Pennsylvania is 2.604 μg/m³.

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

The current PM₁₀ concentration at Carlisle, Pennsylvania is 11.008 μg/m³.

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

The current carbon monoxide (CO) concentration at Carlisle, Pennsylvania is 0.137 ppm.

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

The current sulfur dioxide (SO₂) concentration at Carlisle, Pennsylvania is 0.162 ppb.

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

The current ozone (O₃) concentration at Carlisle, Pennsylvania is 31.742 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Carlisle, Pennsylvania is 1.928 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	33 \| good	6.495 \| good	28.884 \| good	32.299 \| good	0.282 \| good	14.795 \| good	0.339 \| good
2025-10-19T04:00:00.000Z	33 \| good	6.404 \| good	28.906 \| good	24.085 \| good	0.301 \| good	11.038 \| good	0.339 \| good
2025-10-19T05:00:00.000Z	38 \| good	6.585 \| good	29.807 \| good	17.379 \| good	0.283 \| good	12.395 \| good	0.445 \| good
2025-10-19T06:00:00.000Z	38 \| good	7.086 \| good	32.125 \| good	15.476 \| good	0.244 \| good	12.037 \| good	0.374 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.39 \| good	32.888 \| good	20.29 \| good	0.243 \| good	14.477 \| good	0.356 \| good
2025-10-19T08:00:00.000Z	44 \| good	7.59 \| good	33.97 \| good	16.563 \| good	0.216 \| good	10.591 \| good	0.332 \| good
2025-10-19T09:00:00.000Z	44 \| good	7.725 \| good	34.051 \| good	13.241 \| good	0.189 \| good	9.911 \| good	0.313 \| good
2025-10-19T10:00:00.000Z	44 \| good	7.932 \| good	35.112 \| good	15.25 \| good	0.205 \| good	7.953 \| good	0.333 \| good
2025-10-19T11:00:00.000Z	44 \| good	8.16 \| good	36.296 \| good	17.646 \| good	0.264 \| good	7.965 \| good	0.29 \| good
2025-10-19T12:00:00.000Z	44 \| good	8.282 \| good	36.301 \| good	15.403 \| good	0.171 \| good	12.791 \| good	0.333 \| good
2025-10-19T13:00:00.000Z	49 \| good	8.539 \| good	37.36 \| good	13.372 \| good	0.192 \| good	11.442 \| good	0.333 \| good
2025-10-19T14:00:00.000Z	49 \| good	8.547 \| good	37.288 \| good	23.114 \| good	0.185 \| good	7.197 \| good	0.292 \| good
2025-10-19T15:00:00.000Z	49 \| good	8.885 \| good	39.383 \| good	28.246 \| good	0.19 \| good	5.067 \| good	0.238 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.677 \| good	43.047 \| good	30.351 \| good	0.256 \| good	4.258 \| good	0.218 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	10.459 \| good	46.085 \| good	35.162 \| good	0.255 \| good	3.902 \| good	0.218 \| good
2025-10-19T18:00:00.000Z	54 \| moderate	10.824 \| good	47.878 \| good	38.321 \| good	0.232 \| good	4.121 \| good	0.177 \| good
2025-10-19T19:00:00.000Z	54 \| moderate	10.693 \| good	47.889 \| good	40.808 \| good	0.255 \| good	3.209 \| good	0.218 \| good
2025-10-19T20:00:00.000Z	52 \| moderate	10.181 \| good	44.776 \| good	43.226 \| good	0.236 \| good	2.699 \| good	0.196 \| good
2025-10-19T21:00:00.000Z	52 \| moderate	9.882 \| good	43.987 \| good	44.624 \| good	0.26 \| good	2.991 \| good	0.177 \| good
2025-10-19T22:00:00.000Z	52 \| moderate	9.782 \| good	43.837 \| good	45.431 \| good	0.259 \| good	3.635 \| good	0.177 \| good
2025-10-19T23:00:00.000Z	54 \| moderate	10.593 \| good	47.382 \| good	45.607 \| good	0.283 \| good	4.317 \| good	0.177 \| good
2025-10-20T00:00:00.000Z	60 \| moderate	13.525 \| fine	61.158 \| fine	44.588 \| good	0.273 \| good	4.966 \| good	0.177 \| good
2025-10-20T01:00:00.000Z	52 \| moderate	10.075 \| good	44.867 \| good	41.83 \| good	0.232 \| good	4.977 \| good	0.199 \| good
2025-10-20T02:00:00.000Z	38 \| good	6.424 \| good	28.678 \| good	40.59 \| good	0.247 \| good	3.319 \| good	0.195 \| good
2025-10-20T03:00:00.000Z	36 \| good	4.658 \| good	20.777 \| good	38.975 \| good	0.244 \| good	3.879 \| good	0.138 \| good
2025-10-20T04:00:00.000Z	35 \| good	3.879 \| good	16.816 \| good	37.518 \| good	0.227 \| good	3.423 \| good	0.138 \| good
2025-10-20T05:00:00.000Z	33 \| good	3.481 \| good	15.774 \| good	36.272 \| good	0.216 \| good	2.677 \| good	0.138 \| good
2025-10-20T06:00:00.000Z	33 \| good	2.836 \| good	12.127 \| good	36.373 \| good	0.201 \| good	2.513 \| good	0.138 \| good
2025-10-20T07:00:00.000Z	34 \| good	2.332 \| good	10.165 \| good	37.307 \| good	0.258 \| good	2.585 \| good	0.138 \| good
2025-10-20T08:00:00.000Z	31 \| good	2.023 \| good	8.127 \| good	32.519 \| good	0.212 \| good	4.393 \| good	0.138 \| good
2025-10-20T09:00:00.000Z	26 \| good	1.605 \| good	6.989 \| good	28.252 \| good	0.225 \| good	5.368 \| good	0.156 \| good
2025-10-20T10:00:00.000Z	18 \| good	1.204 \| good	5.022 \| good	18.808 \| good	0.227 \| good	3.647 \| good	0.138 \| good
2025-10-20T11:00:00.000Z	25 \| good	0.933 \| good	4.121 \| good	26.728 \| good	0.211 \| good	4.742 \| good	0.138 \| good
2025-10-20T12:00:00.000Z	18 \| good	0.919 \| good	4.091 \| good	18.799 \| good	0.231 \| good	4.835 \| good	0.14 \| good
2025-10-20T13:00:00.000Z	19 \| good	1.207 \| good	5.032 \| good	20.966 \| good	0.212 \| good	3.961 \| good	0.177 \| good
2025-10-20T14:00:00.000Z	18 \| good	1.631 \| good	7.145 \| good	18.708 \| good	0.252 \| good	3.435 \| good	0.156 \| good
2025-10-20T15:00:00.000Z	18 \| good	2.243 \| good	9.096 \| good	19.145 \| good	0.249 \| good	2.614 \| good	0.137 \| good
2025-10-20T16:00:00.000Z	27 \| good	2.539 \| good	10.289 \| good	29.466 \| good	0.193 \| good	2.913 \| good	0.12 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.646 \| good	11.202 \| good	29.467 \| good	0.255 \| good	3.075 \| good	0.141 \| good
2025-10-20T18:00:00.000Z	29 \| good	2.632 \| good	11.179 \| good	31.148 \| good	0.186 \| good	2.739 \| good	0.138 \| good
2025-10-20T19:00:00.000Z	29 \| good	2.624 \| good	11.117 \| good	30.817 \| good	0.191 \| good	2.956 \| good	0.138 \| good
2025-10-20T20:00:00.000Z	29 \| good	2.618 \| good	11.1 \| good	30.598 \| good	0.195 \| good	2.266 \| good	0.138 \| good
2025-10-20T21:00:00.000Z	28 \| good	2.515 \| good	10.063 \| good	30.259 \| good	0.155 \| good	2.052 \| good	0.138 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.522 \| good	10.111 \| good	31.168 \| good	0.173 \| good	1.281 \| good	0.138 \| good
2025-10-20T23:00:00.000Z	30 \| good	2.604 \| good	11.008 \| good	31.742 \| good	0.162 \| good	1.928 \| good	0.137 \| good
2025-10-21T00:00:00.000Z	28 \| good	2.619 \| good	11.063 \| good	29.815 \| good	0.191 \| good	2.934 \| good	0.137 \| good
2025-10-21T01:00:00.000Z	24 \| good	2.718 \| good	11.105 \| good	26.473 \| good	0.165 \| good	3.953 \| good	0.158 \| good
2025-10-21T02:00:00.000Z	24 \| good	3.016 \| good	12.129 \| good	26.223 \| good	0.146 \| good	5.546 \| good	0.323 \| good
2025-10-21T02:00:00.000Z	24 \| good	3.016 \| good	12.129 \| good	26.223 \| good	0.146 \| good	5.546 \| good	0.323 \| good
2025-10-21T01:00:00.000Z	30 \| good	5.207 \| good	22.762 \| good	31.808 \| good	1.271 \| good	4.671 \| good	0.136 \| good
2025-10-21T02:00:00.000Z	33 \| good	5.745 \| good	25.002 \| good	28.834 \| good	1.349 \| good	5.705 \| good	0.146 \| good
2025-10-21T03:00:00.000Z	27 \| good	4.929 \| good	21.035 \| good	26.558 \| good	1.427 \| good	6.739 \| good	0.156 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.736 \| good	20.868 \| good	23.085 \| good	1.468 \| good	6.756 \| good	0.157 \| good
2025-10-21T05:00:00.000Z	33 \| good	5.565 \| good	24.003 \| good	18.092 \| good	1.51 \| good	6.773 \| good	0.158 \| good
2025-10-21T06:00:00.000Z	33 \| good	5.669 \| good	24.138 \| good	16.164 \| good	1.551 \| good	6.79 \| good	0.16 \| good
2025-10-21T07:00:00.000Z	33 \| good	6.059 \| good	27.034 \| good	15.919 \| good	1.628 \| good	6.256 \| good	0.157 \| good
2025-10-21T08:00:00.000Z	27 \| good	5.385 \| good	23.098 \| good	16.659 \| good	1.705 \| good	5.722 \| good	0.154 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.176 \| good	27.144 \| good	16.506 \| good	1.782 \| good	5.188 \| good	0.152 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.763 \| good	25.089 \| good	15.772 \| good	1.908 \| good	5.504 \| good	0.158 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.854 \| good	21.134 \| good	15.415 \| good	2.035 \| good	5.82 \| good	0.164 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.407 \| good	23.292 \| good	15.251 \| good	2.161 \| good	6.136 \| good	0.169 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.574 \| good	24.245 \| good	20.363 \| good	2.255 \| good	5.281 \| good	0.166 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.201 \| good	27.249 \| good	25.596 \| good	2.348 \| good	4.426 \| good	0.162 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.785 \| good	25.111 \| good	30.916 \| good	2.442 \| good	3.57 \| good	0.159 \| good
2025-10-21T16:00:00.000Z	34 \| good	6.39 \| good	28.108 \| good	37.016 \| good	2.186 \| good	2.97 \| good	0.155 \| good
2025-10-21T17:00:00.000Z	39 \| good	7.203 \| good	31.927 \| good	41.909 \| good	1.93 \| good	2.37 \| good	0.151 \| good
2025-10-21T18:00:00.000Z	42 \| good	6.032 \| good	26.941 \| good	44.517 \| good	1.674 \| good	1.77 \| good	0.147 \| good
2025-10-21T19:00:00.000Z	38 \| good	5.237 \| good	22.967 \| good	41.221 \| good	1.593 \| good	1.712 \| good	0.146 \| good
2025-10-21T20:00:00.000Z	35 \| good	6.129 \| good	26.971 \| good	37.782 \| good	1.513 \| good	1.654 \| good	0.144 \| good
2025-10-21T21:00:00.000Z	36 \| good	5.712 \| good	24.861 \| good	39.189 \| good	1.432 \| good	1.596 \| good	0.143 \| good
2025-10-21T22:00:00.000Z	35 \| good	5.719 \| good	24.849 \| good	38.325 \| good	1.497 \| good	4.104 \| good	0.166 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.198 \| good	27.747 \| good	36.43 \| good	1.561 \| good	6.611 \| good	0.19 \| good
2025-10-22T00:00:00.000Z	32 \| good	4.824 \| good	21.007 \| good	34.851 \| good	1.626 \| good	9.118 \| good	0.213 \| good
2025-10-22T01:00:00.000Z	29 \| good	5.113 \| good	22.056 \| good	31.352 \| good	1.646 \| good	7.734 \| good	0.199 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.935 \| good	21.286 \| good	27.531 \| good	1.666 \| good	6.35 \| good	0.184 \| good
2025-10-22T03:00:00.000Z	33 \| good	5.718 \| good	24.5 \| good	24.998 \| good	1.686 \| good	4.966 \| good	0.17 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.323 \| good	23.3 \| good	22.59 \| good	1.773 \| good	4.296 \| good	0.159 \| good
2025-10-22T05:00:00.000Z	27 \| good	5.331 \| good	23.251 \| good	21.728 \| good	1.861 \| good	3.625 \| good	0.148 \| good
2025-10-22T06:00:00.000Z	27 \| good	5.075 \| good	22.165 \| good	20.731 \| good	1.949 \| good	2.955 \| good	0.137 \| good
2025-10-22T07:00:00.000Z	27 \| good	4.765 \| good	21.124 \| good	18.45 \| good	2.088 \| good	2.755 \| good	0.133 \| good
2025-10-22T08:00:00.000Z	27 \| good	4.72 \| good	20.281 \| good	17.709 \| good	2.226 \| good	2.554 \| good	0.13 \| good
2025-10-22T09:00:00.000Z	22 \| good	4.058 \| good	18.15 \| good	22.657 \| good	2.365 \| good	2.353 \| good	0.126 \| good
2025-10-22T10:00:00.000Z	22 \| good	3.558 \| good	16.016 \| good	24.138 \| good	2.414 \| good	2.702 \| good	0.128 \| good
2025-10-22T11:00:00.000Z	22 \| good	3.669 \| good	16.071 \| good	23.606 \| good	2.463 \| good	3.051 \| good	0.131 \| good
2025-10-22T12:00:00.000Z	22 \| good	3.696 \| good	16.062 \| good	24.329 \| good	2.511 \| good	3.399 \| good	0.133 \| good
2025-10-22T13:00:00.000Z	25 \| good	3.845 \| good	17.022 \| good	26.944 \| good	2.237 \| good	2.772 \| good	0.131 \| good
2025-10-22T14:00:00.000Z	30 \| good	3.869 \| good	17.009 \| good	31.932 \| good	1.963 \| good	2.145 \| good	0.129 \| good
2025-10-22T15:00:00.000Z	31 \| good	3.802 \| good	16.894 \| good	32.901 \| good	1.689 \| good	1.518 \| good	0.126 \| good
2025-10-22T16:00:00.000Z	32 \| good	4.431 \| good	19.034 \| good	35.208 \| good	1.479 \| good	1.439 \| good	0.124 \| good
2025-10-22T17:00:00.000Z	35 \| good	4.62 \| good	20 \| good	37.675 \| good	1.27 \| good	1.36 \| good	0.122 \| good
2025-10-22T18:00:00.000Z	36 \| good	3.985 \| good	17.115 \| good	38.591 \| good	1.06 \| good	1.281 \| good	0.12 \| good
2025-10-22T19:00:00.000Z	36 \| good	4.072 \| good	17.935 \| good	38.842 \| good	1.04 \| good	1.403 \| good	0.122 \| good
2025-10-22T20:00:00.000Z	34 \| good	4.549 \| good	19.986 \| good	36.553 \| good	1.02 \| good	1.525 \| good	0.123 \| good
2025-10-22T21:00:00.000Z	31 \| good	4.39 \| good	19 \| good	33.835 \| good	1 \| good	1.648 \| good	0.124 \| good
2025-10-22T22:00:00.000Z	29 \| good	4.596 \| good	19.945 \| good	30.613 \| good	1.175 \| good	1.99 \| good	0.127 \| good
2025-10-22T23:00:00.000Z	28 \| good	5.448 \| good	23.073 \| good	29.789 \| good	1.351 \| good	2.332 \| good	0.13 \| good
2025-10-23T00:00:00.000Z	27 \| good	3.532 \| good	3.536 \| good	29.494 \| good	1.498 \| good	2.687 \| good	0.133 \| good

Carlisle, Pennsylvania live air quality index now

Major air pollutants in Carlisle, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Carlisle, Pennsylvania air quality forecast and history

Get reliable air quality data to drive your business

Carlisle, Pennsylvania air quality map: Track AQI near you

Air quality in nearby cities

North Middleton, Pennsylvania

South Middleton, Pennsylvania

Upper Allen, Pennsylvania

Hampden, Pennsylvania

East Pennsboro, Pennsylvania

Lower Allen, Pennsylvania

How accurate is Pennsylvania, USA air quality data?

Air quality levels in US

Frequently asked questions

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

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

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

What is the current air quality in Carlisle, Pennsylvania?

What pollutant is the most common in Carlisle, Pennsylvania?

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

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

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

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

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

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

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

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

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

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

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