Live air quality index in Allentown, Pennsylvania today

Stay updated with real-time air quality in Allentown, 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

Allentown, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Allentown, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.76 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

20.89 μg/m³

155

255

425

605+

Ozone (O₃)

22.15 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.92 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.27 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Allentown, Pennsylvania

Get Live Pollen Counts

Allentown, Pennsylvania

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Track live Allentown, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T04:00:00.000Z	21 \| good	3.175 \| good	14.09 \| good	22.504 \| good	0.225 \| good	8.467 \| good	0.263 \| good
2025-10-21T05:00:00.000Z	18 \| good	3.265 \| good	14.77 \| good	18.983 \| good	0.247 \| good	8.647 \| good	0.264 \| good
2025-10-21T06:00:00.000Z	16 \| good	3.398 \| good	15.369 \| good	17.252 \| good	0.241 \| good	7.026 \| good	0.177 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.572 \| good	15.875 \| good	17.19 \| good	0.207 \| good	8.334 \| good	0.224 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.811 \| good	17.035 \| good	16.428 \| good	0.254 \| good	6.381 \| good	0.203 \| good
2025-10-21T09:00:00.000Z	22 \| good	4.17 \| good	18.774 \| good	14.058 \| good	0.254 \| good	7.986 \| good	0.202 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.511 \| good	19.687 \| good	10.441 \| good	0.404 \| good	11.284 \| good	0.24 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.02 \| good	21.859 \| good	9.057 \| good	0.391 \| good	11.283 \| good	0.239 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.282 \| good	22.975 \| good	9.985 \| good	0.565 \| good	10.379 \| good	0.379 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.348 \| good	23.522 \| good	10.348 \| good	0.802 \| good	11.786 \| good	0.461 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.844 \| good	25.417 \| good	11.731 \| good	0.966 \| good	12.26 \| good	0.488 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.56 \| good	24.713 \| good	16.129 \| good	1.804 \| good	5.647 \| good	0.367 \| good
2025-10-21T16:00:00.000Z	22 \| good	4.39 \| good	19.682 \| good	21.754 \| good	1.862 \| good	5.92 \| good	0.317 \| good
2025-10-21T17:00:00.000Z	24 \| good	3.701 \| good	16.517 \| good	25.808 \| good	1.296 \| good	8.694 \| good	0.255 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.378 \| good	15.348 \| good	29.637 \| good	0.547 \| good	6.125 \| good	0.267 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.135 \| good	14.025 \| good	33.098 \| good	0.538 \| good	5.198 \| good	0.241 \| good
2025-10-21T20:00:00.000Z	33 \| good	2.939 \| good	12.166 \| good	36.057 \| good	0.312 \| good	5.157 \| good	0.241 \| good
2025-10-21T21:00:00.000Z	34 \| good	2.915 \| good	12.065 \| good	37.323 \| good	0.296 \| good	5.518 \| good	0.281 \| good
2025-10-21T22:00:00.000Z	33 \| good	2.965 \| good	12.179 \| good	36.283 \| good	0.328 \| good	7.016 \| good	0.281 \| good
2025-10-21T23:00:00.000Z	31 \| good	3.149 \| good	13.102 \| good	32.977 \| good	0.334 \| good	12.783 \| good	0.306 \| good
2025-10-22T00:00:00.000Z	30 \| good	3.847 \| good	17.245 \| good	32.119 \| good	0.343 \| good	9.022 \| good	0.331 \| good
2025-10-22T01:00:00.000Z	28 \| good	4.634 \| good	20.789 \| good	29.583 \| good	0.373 \| good	12.164 \| good	0.331 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.614 \| good	20.643 \| good	29.052 \| good	0.238 \| good	13.988 \| good	0.29 \| good
2025-10-22T03:00:00.000Z	54 \| moderate	10.78 \| good	48.121 \| good	21.625 \| good	2.242 \| good	8.199 \| good	0.193 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.343 \| good	23.266 \| good	27.249 \| good	0.318 \| good	12.174 \| good	0.289 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.697 \| good	25.082 \| good	21.659 \| good	0.297 \| good	11.488 \| good	0.241 \| good
2025-10-22T06:00:00.000Z	33 \| good	5.92 \| good	26.169 \| good	24.796 \| good	0.266 \| good	14.566 \| good	0.241 \| good
2025-10-22T07:00:00.000Z	33 \| good	6.347 \| good	28.547 \| good	24.858 \| good	0.266 \| good	13.999 \| good	0.241 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.331 \| good	32.395 \| good	19.255 \| good	0.287 \| good	11.911 \| good	0.121 \| good
2025-10-22T09:00:00.000Z	49 \| good	8.718 \| good	38.278 \| good	16.692 \| good	0.273 \| good	12.266 \| good	0.241 \| good
2025-10-22T10:00:00.000Z	49 \| good	9.02 \| good	40.545 \| good	12.244 \| good	0.262 \| good	10.909 \| good	0.293 \| good
2025-10-22T11:00:00.000Z	52 \| moderate	9.828 \| good	43.872 \| good	13.052 \| good	0.161 \| good	10.897 \| good	0.293 \| good
2025-10-22T12:00:00.000Z	58 \| moderate	12.739 \| fine	57.189 \| fine	10.699 \| good	0.2 \| good	8.635 \| good	0.315 \| good
2025-10-22T13:00:00.000Z	58 \| moderate	13.393 \| fine	59.665 \| fine	12.909 \| good	0.199 \| good	8.03 \| good	0.34 \| good
2025-10-22T14:00:00.000Z	54 \| moderate	10.797 \| good	48.184 \| good	16.094 \| good	0.32 \| good	4.163 \| good	0.28 \| good
2025-10-22T15:00:00.000Z	38 \| good	7.422 \| good	33.028 \| good	23.47 \| good	0.324 \| good	4.724 \| good	0.28 \| good
2025-10-22T16:00:00.000Z	27 \| good	4.944 \| good	21.574 \| good	25.059 \| good	0.266 \| good	4.977 \| good	0.241 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.765 \| good	16.271 \| good	28.683 \| good	0.255 \| good	3.788 \| good	0.215 \| good
2025-10-22T18:00:00.000Z	26 \| good	3.09 \| good	13.819 \| good	28.39 \| good	0.253 \| good	3.271 \| good	0.176 \| good
2025-10-22T19:00:00.000Z	27 \| good	2.708 \| good	11.252 \| good	29.003 \| good	0.229 \| good	2.781 \| good	0.176 \| good
2025-10-22T20:00:00.000Z	28 \| good	2.686 \| good	10.982 \| good	29.564 \| good	0.261 \| good	3.858 \| good	0.228 \| good
2025-10-22T21:00:00.000Z	26 \| good	2.833 \| good	11.975 \| good	27.593 \| good	0.216 \| good	4.36 \| good	0.203 \| good
2025-10-22T22:00:00.000Z	24 \| good	3.132 \| good	13.842 \| good	26.434 \| good	0.227 \| good	4.724 \| good	0.203 \| good
2025-10-22T23:00:00.000Z	22 \| good	3.432 \| good	15.479 \| good	23.884 \| good	0.223 \| good	5.593 \| good	0.228 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.788 \| good	16.901 \| good	22.419 \| good	0.275 \| good	7.929 \| good	0.25 \| good
2025-10-23T01:00:00.000Z	22 \| good	4.2 \| good	18.74 \| good	20.242 \| good	0.786 \| good	8.378 \| good	0.266 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.666 \| good	20.595 \| good	22.69 \| good	0.245 \| good	7.528 \| good	0.266 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.758 \| good	20.888 \| good	22.148 \| good	0.245 \| good	6.918 \| good	0.266 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.538 \| good	23.923 \| good	21.413 \| good	1.865 \| good	5.526 \| good	0.167 \| good
2025-10-23T02:00:00.000Z	27 \| good	5.435 \| good	23.321 \| good	24.996 \| good	1.968 \| good	5.553 \| good	0.168 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.007 \| good	21.584 \| good	25.731 \| good	2.072 \| good	5.58 \| good	0.168 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.697 \| good	24.633 \| good	21.947 \| good	2.218 \| good	5.173 \| good	0.165 \| good
2025-10-23T05:00:00.000Z	33 \| good	5.683 \| good	24.339 \| good	18.458 \| good	2.364 \| good	4.765 \| good	0.162 \| good
2025-10-23T06:00:00.000Z	27 \| good	5.49 \| good	23.207 \| good	17.67 \| good	2.51 \| good	4.357 \| good	0.158 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.863 \| good	25.614 \| good	15.471 \| good	2.604 \| good	4.157 \| good	0.157 \| good
2025-10-23T08:00:00.000Z	33 \| good	5.558 \| good	23.889 \| good	14.303 \| good	2.699 \| good	3.956 \| good	0.155 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.221 \| good	22.508 \| good	18.661 \| good	2.793 \| good	3.756 \| good	0.153 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.964 \| good	21.348 \| good	17.169 \| good	2.782 \| good	4.354 \| good	0.159 \| good
2025-10-23T11:00:00.000Z	27 \| good	4.871 \| good	21 \| good	19.673 \| good	2.771 \| good	4.952 \| good	0.164 \| good
2025-10-23T12:00:00.000Z	22 \| good	4.327 \| good	19 \| good	21.897 \| good	2.76 \| good	5.55 \| good	0.17 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.613 \| good	15.958 \| good	21.779 \| good	2.675 \| good	4.69 \| good	0.164 \| good
2025-10-23T14:00:00.000Z	22 \| good	2.125 \| good	8.758 \| good	24.284 \| good	2.589 \| good	3.829 \| good	0.157 \| good
2025-10-23T15:00:00.000Z	23 \| good	1.177 \| good	4.818 \| good	24.528 \| good	2.503 \| good	2.969 \| good	0.151 \| good
2025-10-23T16:00:00.000Z	21 \| good	1.973 \| good	8.029 \| good	22.801 \| good	2.229 \| good	2.564 \| good	0.147 \| good
2025-10-23T17:00:00.000Z	20 \| good	2.506 \| good	10.092 \| good	22.383 \| good	1.955 \| good	2.16 \| good	0.142 \| good
2025-10-23T18:00:00.000Z	20 \| good	2.651 \| good	10.818 \| good	21.996 \| good	1.681 \| good	1.755 \| good	0.137 \| good
2025-10-23T19:00:00.000Z	22 \| good	2.593 \| good	10.617 \| good	23.615 \| good	1.661 \| good	1.957 \| good	0.139 \| good
2025-10-23T20:00:00.000Z	21 \| good	2.242 \| good	9.326 \| good	23.008 \| good	1.642 \| good	2.159 \| good	0.14 \| good
2025-10-23T21:00:00.000Z	19 \| good	1.186 \| good	4.853 \| good	20.73 \| good	1.622 \| good	2.36 \| good	0.142 \| good
2025-10-23T22:00:00.000Z	25 \| good	0.889 \| good	3.582 \| good	26.951 \| good	1.76 \| good	3.917 \| good	0.157 \| good
2025-10-23T23:00:00.000Z	22 \| good	1.599 \| good	6.611 \| good	24.314 \| good	1.899 \| good	5.473 \| good	0.171 \| good
2025-10-24T00:00:00.000Z	20 \| good	3.191 \| good	13.906 \| good	21.828 \| good	2.037 \| good	7.029 \| good	0.186 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.211 \| good	13.962 \| good	23.726 \| good	2.106 \| good	6.532 \| good	0.183 \| good
2025-10-24T02:00:00.000Z	24 \| good	3.038 \| good	13.039 \| good	25.812 \| good	2.175 \| good	6.035 \| good	0.18 \| good
2025-10-24T03:00:00.000Z	24 \| good	2.842 \| good	11.702 \| good	26.186 \| good	2.245 \| good	5.537 \| good	0.177 \| good
2025-10-24T04:00:00.000Z	24 \| good	2.678 \| good	10.766 \| good	25.798 \| good	2.196 \| good	5.106 \| good	0.173 \| good
2025-10-24T05:00:00.000Z	21 \| good	1.705 \| good	6.964 \| good	23.011 \| good	2.147 \| good	4.674 \| good	0.169 \| good
2025-10-24T06:00:00.000Z	15 \| good	2.288 \| good	9.483 \| good	16.449 \| good	2.099 \| good	4.243 \| good	0.164 \| good
2025-10-24T07:00:00.000Z	16 \| good	3.372 \| good	14.641 \| good	10.336 \| good	2.134 \| good	4.211 \| good	0.164 \| good
2025-10-24T08:00:00.000Z	22 \| good	4.2 \| good	18.185 \| good	7.241 \| good	2.17 \| good	4.179 \| good	0.164 \| good
2025-10-24T09:00:00.000Z	22 \| good	4.115 \| good	17.878 \| good	6.537 \| good	2.205 \| good	4.147 \| good	0.164 \| good
2025-10-24T10:00:00.000Z	22 \| good	4.215 \| good	18.544 \| good	5.714 \| good	2.318 \| good	5.102 \| good	0.176 \| good
2025-10-24T11:00:00.000Z	22 \| good	3.589 \| good	15.573 \| good	5.597 \| good	2.432 \| good	6.056 \| good	0.187 \| good
2025-10-24T12:00:00.000Z	16 \| good	3.28 \| good	14.216 \| good	5.063 \| good	2.545 \| good	7.01 \| good	0.199 \| good
2025-10-24T13:00:00.000Z	13 \| good	2.458 \| good	10.144 \| good	13.567 \| good	2.357 \| good	5.543 \| good	0.188 \| good
2025-10-24T14:00:00.000Z	19 \| good	2.557 \| good	10.546 \| good	20.937 \| good	2.169 \| good	4.076 \| good	0.177 \| good
2025-10-24T15:00:00.000Z	20 \| good	2.748 \| good	11.498 \| good	22.355 \| good	1.98 \| good	2.61 \| good	0.166 \| good
2025-10-24T16:00:00.000Z	21 \| good	2.263 \| good	9.437 \| good	22.53 \| good	1.737 \| good	2.316 \| good	0.161 \| good
2025-10-24T17:00:00.000Z	25 \| good	1.96 \| good	8.029 \| good	27.199 \| good	1.494 \| good	2.022 \| good	0.156 \| good
2025-10-24T18:00:00.000Z	25 \| good	1.745 \| good	7.048 \| good	26.922 \| good	1.251 \| good	1.728 \| good	0.151 \| good
2025-10-24T19:00:00.000Z	28 \| good	1.64 \| good	6.818 \| good	30.109 \| good	1.123 \| good	1.775 \| good	0.148 \| good
2025-10-24T20:00:00.000Z	28 \| good	0.975 \| good	3.881 \| good	29.928 \| good	0.995 \| good	1.822 \| good	0.145 \| good
2025-10-24T21:00:00.000Z	26 \| good	0.734 \| good	2.818 \| good	27.526 \| good	0.867 \| good	1.869 \| good	0.142 \| good
2025-10-24T22:00:00.000Z	20 \| good	2.699 \| good	11.215 \| good	22.052 \| good	1.014 \| good	4.015 \| good	0.161 \| good
2025-10-24T23:00:00.000Z	22 \| good	3.54 \| good	15.513 \| good	21.298 \| good	1.16 \| good	6.162 \| good	0.18 \| good
2025-10-25T00:00:00.000Z	22 \| good	3.963 \| good	3.975 \| good	21.063 \| good	1.323 \| good	8.353 \| good	0.2 \| good

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Source: Ambee Data Sources

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T04:00:00.000Z	21 \| good	3.175 \| good	14.09 \| good	22.504 \| good	0.225 \| good	8.467 \| good	0.263 \| good
2025-10-21T05:00:00.000Z	18 \| good	3.265 \| good	14.77 \| good	18.983 \| good	0.247 \| good	8.647 \| good	0.264 \| good
2025-10-21T06:00:00.000Z	16 \| good	3.398 \| good	15.369 \| good	17.252 \| good	0.241 \| good	7.026 \| good	0.177 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.572 \| good	15.875 \| good	17.19 \| good	0.207 \| good	8.334 \| good	0.224 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.811 \| good	17.035 \| good	16.428 \| good	0.254 \| good	6.381 \| good	0.203 \| good
2025-10-21T09:00:00.000Z	22 \| good	4.17 \| good	18.774 \| good	14.058 \| good	0.254 \| good	7.986 \| good	0.202 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.511 \| good	19.687 \| good	10.441 \| good	0.404 \| good	11.284 \| good	0.24 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.02 \| good	21.859 \| good	9.057 \| good	0.391 \| good	11.283 \| good	0.239 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.282 \| good	22.975 \| good	9.985 \| good	0.565 \| good	10.379 \| good	0.379 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.348 \| good	23.522 \| good	10.348 \| good	0.802 \| good	11.786 \| good	0.461 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.844 \| good	25.417 \| good	11.731 \| good	0.966 \| good	12.26 \| good	0.488 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.56 \| good	24.713 \| good	16.129 \| good	1.804 \| good	5.647 \| good	0.367 \| good
2025-10-21T16:00:00.000Z	22 \| good	4.39 \| good	19.682 \| good	21.754 \| good	1.862 \| good	5.92 \| good	0.317 \| good
2025-10-21T17:00:00.000Z	24 \| good	3.701 \| good	16.517 \| good	25.808 \| good	1.296 \| good	8.694 \| good	0.255 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.378 \| good	15.348 \| good	29.637 \| good	0.547 \| good	6.125 \| good	0.267 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.135 \| good	14.025 \| good	33.098 \| good	0.538 \| good	5.198 \| good	0.241 \| good
2025-10-21T20:00:00.000Z	33 \| good	2.939 \| good	12.166 \| good	36.057 \| good	0.312 \| good	5.157 \| good	0.241 \| good
2025-10-21T21:00:00.000Z	34 \| good	2.915 \| good	12.065 \| good	37.323 \| good	0.296 \| good	5.518 \| good	0.281 \| good
2025-10-21T22:00:00.000Z	33 \| good	2.965 \| good	12.179 \| good	36.283 \| good	0.328 \| good	7.016 \| good	0.281 \| good
2025-10-21T23:00:00.000Z	31 \| good	3.149 \| good	13.102 \| good	32.977 \| good	0.334 \| good	12.783 \| good	0.306 \| good
2025-10-22T00:00:00.000Z	30 \| good	3.847 \| good	17.245 \| good	32.119 \| good	0.343 \| good	9.022 \| good	0.331 \| good
2025-10-22T01:00:00.000Z	28 \| good	4.634 \| good	20.789 \| good	29.583 \| good	0.373 \| good	12.164 \| good	0.331 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.614 \| good	20.643 \| good	29.052 \| good	0.238 \| good	13.988 \| good	0.29 \| good
2025-10-22T03:00:00.000Z	54 \| moderate	10.78 \| good	48.121 \| good	21.625 \| good	2.242 \| good	8.199 \| good	0.193 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.343 \| good	23.266 \| good	27.249 \| good	0.318 \| good	12.174 \| good	0.289 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.697 \| good	25.082 \| good	21.659 \| good	0.297 \| good	11.488 \| good	0.241 \| good
2025-10-22T06:00:00.000Z	33 \| good	5.92 \| good	26.169 \| good	24.796 \| good	0.266 \| good	14.566 \| good	0.241 \| good
2025-10-22T07:00:00.000Z	33 \| good	6.347 \| good	28.547 \| good	24.858 \| good	0.266 \| good	13.999 \| good	0.241 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.331 \| good	32.395 \| good	19.255 \| good	0.287 \| good	11.911 \| good	0.121 \| good
2025-10-22T09:00:00.000Z	49 \| good	8.718 \| good	38.278 \| good	16.692 \| good	0.273 \| good	12.266 \| good	0.241 \| good
2025-10-22T10:00:00.000Z	49 \| good	9.02 \| good	40.545 \| good	12.244 \| good	0.262 \| good	10.909 \| good	0.293 \| good
2025-10-22T11:00:00.000Z	52 \| moderate	9.828 \| good	43.872 \| good	13.052 \| good	0.161 \| good	10.897 \| good	0.293 \| good
2025-10-22T12:00:00.000Z	58 \| moderate	12.739 \| fine	57.189 \| fine	10.699 \| good	0.2 \| good	8.635 \| good	0.315 \| good
2025-10-22T13:00:00.000Z	58 \| moderate	13.393 \| fine	59.665 \| fine	12.909 \| good	0.199 \| good	8.03 \| good	0.34 \| good
2025-10-22T14:00:00.000Z	54 \| moderate	10.797 \| good	48.184 \| good	16.094 \| good	0.32 \| good	4.163 \| good	0.28 \| good
2025-10-22T15:00:00.000Z	38 \| good	7.422 \| good	33.028 \| good	23.47 \| good	0.324 \| good	4.724 \| good	0.28 \| good
2025-10-22T16:00:00.000Z	27 \| good	4.944 \| good	21.574 \| good	25.059 \| good	0.266 \| good	4.977 \| good	0.241 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.765 \| good	16.271 \| good	28.683 \| good	0.255 \| good	3.788 \| good	0.215 \| good
2025-10-22T18:00:00.000Z	26 \| good	3.09 \| good	13.819 \| good	28.39 \| good	0.253 \| good	3.271 \| good	0.176 \| good
2025-10-22T19:00:00.000Z	27 \| good	2.708 \| good	11.252 \| good	29.003 \| good	0.229 \| good	2.781 \| good	0.176 \| good
2025-10-22T20:00:00.000Z	28 \| good	2.686 \| good	10.982 \| good	29.564 \| good	0.261 \| good	3.858 \| good	0.228 \| good
2025-10-22T21:00:00.000Z	26 \| good	2.833 \| good	11.975 \| good	27.593 \| good	0.216 \| good	4.36 \| good	0.203 \| good
2025-10-22T22:00:00.000Z	24 \| good	3.132 \| good	13.842 \| good	26.434 \| good	0.227 \| good	4.724 \| good	0.203 \| good
2025-10-22T23:00:00.000Z	22 \| good	3.432 \| good	15.479 \| good	23.884 \| good	0.223 \| good	5.593 \| good	0.228 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.788 \| good	16.901 \| good	22.419 \| good	0.275 \| good	7.929 \| good	0.25 \| good
2025-10-23T01:00:00.000Z	22 \| good	4.2 \| good	18.74 \| good	20.242 \| good	0.786 \| good	8.378 \| good	0.266 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.666 \| good	20.595 \| good	22.69 \| good	0.245 \| good	7.528 \| good	0.266 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.758 \| good	20.888 \| good	22.148 \| good	0.245 \| good	6.918 \| good	0.266 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.538 \| good	23.923 \| good	21.413 \| good	1.865 \| good	5.526 \| good	0.167 \| good
2025-10-23T02:00:00.000Z	27 \| good	5.435 \| good	23.321 \| good	24.996 \| good	1.968 \| good	5.553 \| good	0.168 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.007 \| good	21.584 \| good	25.731 \| good	2.072 \| good	5.58 \| good	0.168 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.697 \| good	24.633 \| good	21.947 \| good	2.218 \| good	5.173 \| good	0.165 \| good
2025-10-23T05:00:00.000Z	33 \| good	5.683 \| good	24.339 \| good	18.458 \| good	2.364 \| good	4.765 \| good	0.162 \| good
2025-10-23T06:00:00.000Z	27 \| good	5.49 \| good	23.207 \| good	17.67 \| good	2.51 \| good	4.357 \| good	0.158 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.863 \| good	25.614 \| good	15.471 \| good	2.604 \| good	4.157 \| good	0.157 \| good
2025-10-23T08:00:00.000Z	33 \| good	5.558 \| good	23.889 \| good	14.303 \| good	2.699 \| good	3.956 \| good	0.155 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.221 \| good	22.508 \| good	18.661 \| good	2.793 \| good	3.756 \| good	0.153 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.964 \| good	21.348 \| good	17.169 \| good	2.782 \| good	4.354 \| good	0.159 \| good
2025-10-23T11:00:00.000Z	27 \| good	4.871 \| good	21 \| good	19.673 \| good	2.771 \| good	4.952 \| good	0.164 \| good
2025-10-23T12:00:00.000Z	22 \| good	4.327 \| good	19 \| good	21.897 \| good	2.76 \| good	5.55 \| good	0.17 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.613 \| good	15.958 \| good	21.779 \| good	2.675 \| good	4.69 \| good	0.164 \| good
2025-10-23T14:00:00.000Z	22 \| good	2.125 \| good	8.758 \| good	24.284 \| good	2.589 \| good	3.829 \| good	0.157 \| good
2025-10-23T15:00:00.000Z	23 \| good	1.177 \| good	4.818 \| good	24.528 \| good	2.503 \| good	2.969 \| good	0.151 \| good
2025-10-23T16:00:00.000Z	21 \| good	1.973 \| good	8.029 \| good	22.801 \| good	2.229 \| good	2.564 \| good	0.147 \| good
2025-10-23T17:00:00.000Z	20 \| good	2.506 \| good	10.092 \| good	22.383 \| good	1.955 \| good	2.16 \| good	0.142 \| good
2025-10-23T18:00:00.000Z	20 \| good	2.651 \| good	10.818 \| good	21.996 \| good	1.681 \| good	1.755 \| good	0.137 \| good
2025-10-23T19:00:00.000Z	22 \| good	2.593 \| good	10.617 \| good	23.615 \| good	1.661 \| good	1.957 \| good	0.139 \| good
2025-10-23T20:00:00.000Z	21 \| good	2.242 \| good	9.326 \| good	23.008 \| good	1.642 \| good	2.159 \| good	0.14 \| good
2025-10-23T21:00:00.000Z	19 \| good	1.186 \| good	4.853 \| good	20.73 \| good	1.622 \| good	2.36 \| good	0.142 \| good
2025-10-23T22:00:00.000Z	25 \| good	0.889 \| good	3.582 \| good	26.951 \| good	1.76 \| good	3.917 \| good	0.157 \| good
2025-10-23T23:00:00.000Z	22 \| good	1.599 \| good	6.611 \| good	24.314 \| good	1.899 \| good	5.473 \| good	0.171 \| good
2025-10-24T00:00:00.000Z	20 \| good	3.191 \| good	13.906 \| good	21.828 \| good	2.037 \| good	7.029 \| good	0.186 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.211 \| good	13.962 \| good	23.726 \| good	2.106 \| good	6.532 \| good	0.183 \| good
2025-10-24T02:00:00.000Z	24 \| good	3.038 \| good	13.039 \| good	25.812 \| good	2.175 \| good	6.035 \| good	0.18 \| good
2025-10-24T03:00:00.000Z	24 \| good	2.842 \| good	11.702 \| good	26.186 \| good	2.245 \| good	5.537 \| good	0.177 \| good
2025-10-24T04:00:00.000Z	24 \| good	2.678 \| good	10.766 \| good	25.798 \| good	2.196 \| good	5.106 \| good	0.173 \| good
2025-10-24T05:00:00.000Z	21 \| good	1.705 \| good	6.964 \| good	23.011 \| good	2.147 \| good	4.674 \| good	0.169 \| good
2025-10-24T06:00:00.000Z	15 \| good	2.288 \| good	9.483 \| good	16.449 \| good	2.099 \| good	4.243 \| good	0.164 \| good
2025-10-24T07:00:00.000Z	16 \| good	3.372 \| good	14.641 \| good	10.336 \| good	2.134 \| good	4.211 \| good	0.164 \| good
2025-10-24T08:00:00.000Z	22 \| good	4.2 \| good	18.185 \| good	7.241 \| good	2.17 \| good	4.179 \| good	0.164 \| good
2025-10-24T09:00:00.000Z	22 \| good	4.115 \| good	17.878 \| good	6.537 \| good	2.205 \| good	4.147 \| good	0.164 \| good
2025-10-24T10:00:00.000Z	22 \| good	4.215 \| good	18.544 \| good	5.714 \| good	2.318 \| good	5.102 \| good	0.176 \| good
2025-10-24T11:00:00.000Z	22 \| good	3.589 \| good	15.573 \| good	5.597 \| good	2.432 \| good	6.056 \| good	0.187 \| good
2025-10-24T12:00:00.000Z	16 \| good	3.28 \| good	14.216 \| good	5.063 \| good	2.545 \| good	7.01 \| good	0.199 \| good
2025-10-24T13:00:00.000Z	13 \| good	2.458 \| good	10.144 \| good	13.567 \| good	2.357 \| good	5.543 \| good	0.188 \| good
2025-10-24T14:00:00.000Z	19 \| good	2.557 \| good	10.546 \| good	20.937 \| good	2.169 \| good	4.076 \| good	0.177 \| good
2025-10-24T15:00:00.000Z	20 \| good	2.748 \| good	11.498 \| good	22.355 \| good	1.98 \| good	2.61 \| good	0.166 \| good
2025-10-24T16:00:00.000Z	21 \| good	2.263 \| good	9.437 \| good	22.53 \| good	1.737 \| good	2.316 \| good	0.161 \| good
2025-10-24T17:00:00.000Z	25 \| good	1.96 \| good	8.029 \| good	27.199 \| good	1.494 \| good	2.022 \| good	0.156 \| good
2025-10-24T18:00:00.000Z	25 \| good	1.745 \| good	7.048 \| good	26.922 \| good	1.251 \| good	1.728 \| good	0.151 \| good
2025-10-24T19:00:00.000Z	28 \| good	1.64 \| good	6.818 \| good	30.109 \| good	1.123 \| good	1.775 \| good	0.148 \| good
2025-10-24T20:00:00.000Z	28 \| good	0.975 \| good	3.881 \| good	29.928 \| good	0.995 \| good	1.822 \| good	0.145 \| good
2025-10-24T21:00:00.000Z	26 \| good	0.734 \| good	2.818 \| good	27.526 \| good	0.867 \| good	1.869 \| good	0.142 \| good
2025-10-24T22:00:00.000Z	20 \| good	2.699 \| good	11.215 \| good	22.052 \| good	1.014 \| good	4.015 \| good	0.161 \| good
2025-10-24T23:00:00.000Z	22 \| good	3.54 \| good	15.513 \| good	21.298 \| good	1.16 \| good	6.162 \| good	0.18 \| good
2025-10-25T00:00:00.000Z	22 \| good	3.963 \| good	3.975 \| good	21.063 \| good	1.323 \| good	8.353 \| good	0.2 \| good

Live air quality index in Allentown, Pennsylvania today

Major air pollutants in Allentown, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Air quality levels in US

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)