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

The current PM10 concentration at Worcester, Pennsylvania is 16.625 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Worcester, Pennsylvania is 0.287 ppb.

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

The current ozone (O3) concentration at Worcester, Pennsylvania is 24.824 ppm.

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

The current nitrogen dioxide (NO2) concentration at Worcester, Pennsylvania is 7.845 ppb.

Worcester, Pennsylvania live air quality index now

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

The current PM2.5 concentration at Worcester, Pennsylvania is 3.818 μg/m3.

Stay updated with real-time air quality in Worcester, 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

Worcester, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Worcester, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.72 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

16.32 μg/m³

155

255

425

605+

Ozone (O₃)

24.94 ppb

201

201+

Sulfur Dioxide (SO₂)

0.26 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.72 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

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Worcester, Pennsylvania

Scroll To Air Quality Map

Track live Worcester, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T06:00:00.000Z	27 \| good	5.207 \| good	21.633 \| good	18.326 \| good	0.269 \| good	7.979 \| good	0.213 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.909 \| good	20.288 \| good	17.442 \| good	0.233 \| good	8.646 \| good	0.264 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.742 \| good	20.288 \| good	16.848 \| good	0.274 \| good	8.17 \| good	0.252 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.63 \| good	19.815 \| good	15.929 \| good	0.274 \| good	7.846 \| good	0.249 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.835 \| good	19.975 \| good	13.986 \| good	0.325 \| good	11.647 \| good	0.281 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.601 \| good	23.751 \| good	10.228 \| good	0.369 \| good	16.568 \| good	0.268 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.812 \| good	25.543 \| good	7.934 \| good	0.56 \| good	18.542 \| good	0.38 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.455 \| good	27.991 \| good	7.954 \| good	0.788 \| good	20.325 \| good	0.461 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.7 \| good	32.895 \| good	7.445 \| good	1.158 \| good	19.87 \| good	0.524 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.174 \| good	31.459 \| good	16.091 \| good	1.412 \| good	17.727 \| good	0.416 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.968 \| good	25.723 \| good	17.642 \| good	1.141 \| good	13.949 \| good	0.345 \| good
2025-10-21T17:00:00.000Z	27 \| good	4.986 \| good	21.468 \| good	23.666 \| good	0.498 \| good	10.672 \| good	0.305 \| good
2025-10-21T18:00:00.000Z	28 \| good	4.31 \| good	18.609 \| good	29.526 \| good	0.451 \| good	10.241 \| good	0.309 \| good
2025-10-21T19:00:00.000Z	33 \| good	3.744 \| good	16.378 \| good	35.788 \| good	0.45 \| good	7.786 \| good	0.267 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.719 \| good	16.749 \| good	37.206 \| good	0.354 \| good	7.427 \| good	0.267 \| good
2025-10-21T21:00:00.000Z	37 \| good	3.862 \| good	16.745 \| good	39.532 \| good	0.346 \| good	7.777 \| good	0.313 \| good
2025-10-21T22:00:00.000Z	35 \| good	4.192 \| good	18.683 \| good	38.102 \| good	0.406 \| good	9.286 \| good	0.313 \| good
2025-10-21T23:00:00.000Z	32 \| good	4.344 \| good	19.357 \| good	35.18 \| good	0.414 \| good	11.302 \| good	0.355 \| good
2025-10-22T00:00:00.000Z	30 \| good	4.65 \| good	20.02 \| good	32.211 \| good	0.412 \| good	8.65 \| good	0.384 \| good
2025-10-22T01:00:00.000Z	30 \| good	4.77 \| good	20.957 \| good	31.545 \| good	0.452 \| good	12.047 \| good	0.384 \| good
2025-10-22T02:00:00.000Z	28 \| good	4.922 \| good	21.45 \| good	29.794 \| good	0.283 \| good	10.854 \| good	0.365 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.142 \| good	31.57 \| good	36.465 \| good	1.977 \| good	7.706 \| good	0.181 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.993 \| good	25.777 \| good	26.36 \| good	0.387 \| good	9.993 \| good	0.352 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.276 \| good	27.246 \| good	22.597 \| good	0.369 \| good	6.825 \| good	0.288 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.768 \| good	29.277 \| good	24.639 \| good	0.323 \| good	10.01 \| good	0.288 \| good
2025-10-22T07:00:00.000Z	38 \| good	7.099 \| good	30.627 \| good	24.139 \| good	0.324 \| good	16.361 \| good	0.288 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.361 \| good	31.839 \| good	18.98 \| good	0.328 \| good	9.907 \| good	0.111 \| good
2025-10-22T09:00:00.000Z	44 \| good	8.275 \| good	35.42 \| good	18.086 \| good	0.324 \| good	9.587 \| good	0.288 \| good
2025-10-22T10:00:00.000Z	49 \| good	8.807 \| good	38.703 \| good	17.021 \| good	0.352 \| good	12.067 \| good	0.303 \| good
2025-10-22T11:00:00.000Z	49 \| good	9.141 \| good	39.787 \| good	18.861 \| good	0.144 \| good	13.941 \| good	0.303 \| good
2025-10-22T12:00:00.000Z	44 \| good	8.491 \| good	36.102 \| good	20.476 \| good	0.181 \| good	11.171 \| good	0.324 \| good
2025-10-22T13:00:00.000Z	44 \| good	7.775 \| good	33.089 \| good	22.136 \| good	0.182 \| good	11.032 \| good	0.354 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.776 \| good	24.589 \| good	25.847 \| good	0.402 \| good	7.005 \| good	0.3 \| good
2025-10-22T15:00:00.000Z	33 \| good	5.776 \| good	24.589 \| good	26.088 \| good	0.42 \| good	7.086 \| good	0.3 \| good
2025-10-22T16:00:00.000Z	27 \| good	5.44 \| good	23.376 \| good	26.883 \| good	0.327 \| good	5.468 \| good	0.288 \| good
2025-10-22T17:00:00.000Z	29 \| good	3.358 \| good	12.85 \| good	31.327 \| good	0.34 \| good	3.957 \| good	0.246 \| good
2025-10-22T18:00:00.000Z	30 \| good	2.647 \| good	11.506 \| good	32.183 \| good	0.28 \| good	3.643 \| good	0.213 \| good
2025-10-22T19:00:00.000Z	30 \| good	2.62 \| good	11.367 \| good	31.917 \| good	0.274 \| good	3.15 \| good	0.213 \| good
2025-10-22T20:00:00.000Z	30 \| good	2.788 \| good	12.075 \| good	31.525 \| good	0.31 \| good	4.394 \| good	0.25 \| good
2025-10-22T21:00:00.000Z	27 \| good	2.869 \| good	12.011 \| good	29.002 \| good	0.257 \| good	4.194 \| good	0.221 \| good
2025-10-22T22:00:00.000Z	26 \| good	3.043 \| good	12.851 \| good	27.607 \| good	0.267 \| good	4.085 \| good	0.221 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.264 \| good	14.185 \| good	26.244 \| good	0.265 \| good	5.138 \| good	0.25 \| good
2025-10-23T00:00:00.000Z	23 \| good	3.818 \| good	16.625 \| good	24.824 \| good	0.287 \| good	7.845 \| good	0.271 \| good
2025-10-23T01:00:00.000Z	24 \| good	3.73 \| good	16.152 \| good	26.2 \| good	0.6 \| good	8.488 \| good	0.296 \| good
2025-10-23T02:00:00.000Z	23 \| good	3.716 \| good	16.318 \| good	25.316 \| good	0.292 \| good	6.794 \| good	0.296 \| good
2025-10-23T03:00:00.000Z	24 \| good	3.863 \| good	17.023 \| good	26.066 \| good	0.266 \| good	11.183 \| good	0.217 \| good
2025-10-23T04:00:00.000Z	23 \| good	3.723 \| good	16.32 \| good	24.937 \| good	0.259 \| good	11.722 \| good	0.217 \| good
2025-10-23T05:00:00.000Z	24 \| good	3.693 \| good	16.19 \| good	25.678 \| good	0.219 \| good	8.986 \| good	0.218 \| good
2025-10-23T05:00:00.000Z	23 \| good	3.723 \| good	16.32 \| good	24.937 \| good	0.259 \| good	11.722 \| good	0.217 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.166 \| good	31.845 \| good	22.357 \| good	1.694 \| good	8.06 \| good	0.176 \| good
2025-10-23T03:00:00.000Z	33 \| good	6.296 \| good	27.974 \| good	25.679 \| good	1.718 \| good	8.288 \| good	0.177 \| good
2025-10-23T04:00:00.000Z	27 \| good	5.424 \| good	23.108 \| good	25.079 \| good	1.793 \| good	7.51 \| good	0.171 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.892 \| good	21 \| good	23.378 \| good	1.867 \| good	6.732 \| good	0.166 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.873 \| good	21.004 \| good	20.14 \| good	1.942 \| good	5.955 \| good	0.16 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.22 \| good	22.552 \| good	20.009 \| good	2.113 \| good	5.677 \| good	0.158 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.289 \| good	22.935 \| good	22.677 \| good	2.284 \| good	5.4 \| good	0.156 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.164 \| good	22.203 \| good	19.854 \| good	2.455 \| good	5.123 \| good	0.154 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.442 \| good	23.052 \| good	18.973 \| good	2.491 \| good	5.983 \| good	0.162 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.76 \| good	24.939 \| good	16.605 \| good	2.528 \| good	6.843 \| good	0.17 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.203 \| good	22.49 \| good	18.649 \| good	2.565 \| good	7.703 \| good	0.178 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.785 \| good	16.185 \| good	23.232 \| good	2.515 \| good	6.314 \| good	0.17 \| good
2025-10-23T14:00:00.000Z	27 \| good	1.674 \| good	6.648 \| good	29.27 \| good	2.465 \| good	4.925 \| good	0.162 \| good
2025-10-23T15:00:00.000Z	27 \| good	1.259 \| good	5.04 \| good	29.115 \| good	2.416 \| good	3.536 \| good	0.154 \| good
2025-10-23T16:00:00.000Z	27 \| good	1.724 \| good	7.062 \| good	29.468 \| good	2.147 \| good	3.122 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	28 \| good	1.95 \| good	8.04 \| good	29.937 \| good	1.878 \| good	2.708 \| good	0.144 \| good
2025-10-23T18:00:00.000Z	26 \| good	2.002 \| good	8 \| good	27.713 \| good	1.61 \| good	2.294 \| good	0.139 \| good
2025-10-23T19:00:00.000Z	27 \| good	2.515 \| good	10.023 \| good	28.987 \| good	1.629 \| good	2.6 \| good	0.141 \| good
2025-10-23T20:00:00.000Z	27 \| good	2.072 \| good	8.173 \| good	29.475 \| good	1.648 \| good	2.905 \| good	0.142 \| good
2025-10-23T21:00:00.000Z	28 \| good	2 \| good	8.108 \| good	29.865 \| good	1.666 \| good	3.211 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	26 \| good	0.886 \| good	3.465 \| good	28.349 \| good	1.795 \| good	5.556 \| good	0.162 \| good
2025-10-23T23:00:00.000Z	25 \| good	0.827 \| good	3.085 \| good	27.392 \| good	1.923 \| good	7.902 \| good	0.18 \| good
2025-10-24T00:00:00.000Z	27 \| good	2.301 \| good	9.43 \| good	28.968 \| good	2.051 \| good	10.247 \| good	0.198 \| good
2025-10-24T01:00:00.000Z	23 \| good	3.895 \| good	16.941 \| good	24.749 \| good	2.208 \| good	9.705 \| good	0.196 \| good
2025-10-24T02:00:00.000Z	27 \| good	5.398 \| good	23.492 \| good	20.711 \| good	2.364 \| good	9.163 \| good	0.193 \| good
2025-10-24T03:00:00.000Z	33 \| good	6.075 \| good	26.654 \| good	19.571 \| good	2.521 \| good	8.621 \| good	0.191 \| good
2025-10-24T04:00:00.000Z	27 \| good	5.256 \| good	22.934 \| good	18.48 \| good	2.564 \| good	7.802 \| good	0.185 \| good
2025-10-24T05:00:00.000Z	27 \| good	5.027 \| good	21.928 \| good	16.195 \| good	2.606 \| good	6.982 \| good	0.179 \| good
2025-10-24T06:00:00.000Z	33 \| good	5.709 \| good	25.279 \| good	13.672 \| good	2.649 \| good	6.163 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	38 \| good	6.651 \| good	29.462 \| good	10.254 \| good	2.679 \| good	6.034 \| good	0.171 \| good
2025-10-24T08:00:00.000Z	38 \| good	7.356 \| good	32.058 \| good	9.593 \| good	2.709 \| good	5.905 \| good	0.17 \| good
2025-10-24T09:00:00.000Z	38 \| good	7.375 \| good	32.453 \| good	10.508 \| good	2.739 \| good	5.776 \| good	0.168 \| good
2025-10-24T10:00:00.000Z	44 \| good	7.518 \| good	32.959 \| good	7.974 \| good	2.872 \| good	6.982 \| good	0.182 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.932 \| good	30.841 \| good	6.917 \| good	3.004 \| good	8.189 \| good	0.196 \| good
2025-10-24T12:00:00.000Z	38 \| good	6.634 \| good	29.494 \| good	7.444 \| good	3.137 \| good	9.396 \| good	0.21 \| good
2025-10-24T13:00:00.000Z	33 \| good	6.164 \| good	27.403 \| good	13.136 \| good	3.122 \| good	7.555 \| good	0.2 \| good
2025-10-24T14:00:00.000Z	22 \| good	4.136 \| good	18.046 \| good	23.136 \| good	3.106 \| good	5.715 \| good	0.19 \| good
2025-10-24T15:00:00.000Z	27 \| good	4.422 \| good	19.046 \| good	28.713 \| good	3.091 \| good	3.874 \| good	0.179 \| good
2025-10-24T16:00:00.000Z	28 \| good	4.486 \| good	19.509 \| good	30.175 \| good	2.656 \| good	3.384 \| good	0.172 \| good
2025-10-24T17:00:00.000Z	29 \| good	3.06 \| good	12.988 \| good	30.987 \| good	2.221 \| good	2.894 \| good	0.164 \| good
2025-10-24T18:00:00.000Z	29 \| good	1.712 \| good	7.011 \| good	31.055 \| good	1.786 \| good	2.404 \| good	0.156 \| good
2025-10-24T19:00:00.000Z	29 \| good	2.001 \| good	8.067 \| good	30.948 \| good	1.567 \| good	2.542 \| good	0.154 \| good
2025-10-24T20:00:00.000Z	31 \| good	1.816 \| good	7.413 \| good	33.315 \| good	1.347 \| good	2.681 \| good	0.152 \| good
2025-10-24T21:00:00.000Z	31 \| good	1.424 \| good	5.558 \| good	32.504 \| good	1.127 \| good	2.819 \| good	0.15 \| good
2025-10-24T22:00:00.000Z	27 \| good	1.784 \| good	7.453 \| good	28.983 \| good	1.202 \| good	5.955 \| good	0.174 \| good
2025-10-24T23:00:00.000Z	27 \| good	2.867 \| good	12.015 \| good	28.885 \| good	1.277 \| good	9.091 \| good	0.197 \| good
2025-10-25T00:00:00.000Z	33 \| good	6.143 \| good	6.147 \| good	16.64 \| good	1.334 \| good	12.217 \| good	0.22 \| good
2025-10-25T01:00:00.000Z	27 \| good	4.329 \| good	18.991 \| good	29.161 \| good	1.468 \| good	12.231 \| good	0.221 \| good

Worcester

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Worcester, Pennsylvania air quality map: Track AQI near you

0.26ppm

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 Worcester, Pennsylvania updated?

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

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

The worst air quality in Worcester, Pennsylvania in the last 24 hours was observed at 11:00:00 on 2025-10-22.

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

In the last 24 hrs, the best air quality in Worcester, Pennsylvania was observed at 12:00:00 on 2025-10-23.

What is the current air quality in Worcester, Pennsylvania?

The current air quality in Worcester, Pennsylvania is 23, categorized as Good based on real-time data.

What pollutant is the most common in Worcester, Pennsylvania?

The most common pollutant in Worcester, Pennsylvania is O3.

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

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

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

The current PM_2.5 concentration at Worcester, Pennsylvania is 3.818 μg/m³.

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

The current PM₁₀ concentration at Worcester, Pennsylvania is 16.625 μg/m³.

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

The current carbon monoxide (CO) concentration at Worcester, Pennsylvania is 0.271 ppm.

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

The current sulfur dioxide (SO₂) concentration at Worcester, Pennsylvania is 0.287 ppb.

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

The current ozone (O₃) concentration at Worcester, Pennsylvania is 24.824 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Worcester, Pennsylvania is 7.845 ppb.

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