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

The current PM10 concentration at Wilkinsburg, Pennsylvania is 23.119 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Wilkinsburg, Pennsylvania is 1.281 ppb.

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

The current ozone (O3) concentration at Wilkinsburg, Pennsylvania is 3.39 ppm.

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

The current nitrogen dioxide (NO2) concentration at Wilkinsburg, Pennsylvania is 7.502 ppb.

Wilkinsburg, Pennsylvania live air quality index now

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

Stay updated with real-time air quality in Wilkinsburg, 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

Wilkinsburg, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Wilkinsburg, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.23 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

23.12 μg/m³

155

255

425

605+

Ozone (O₃)

3.39 ppb

201

201+

Sulfur Dioxide (SO₂)

1.28 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.50 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Wilkinsburg, Pennsylvania

Get Live Pollen Counts

Wilkinsburg, Pennsylvania

Scroll To Air Quality Map

Track live Wilkinsburg, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	44 \| good	8.256 \| good	36.255 \| good	18.276 \| good	2.239 \| good	5.647 \| good	0.27 \| good
2025-10-19T13:00:00.000Z	44 \| good	7.955 \| good	35.264 \| good	23.754 \| good	1.783 \| good	5.586 \| good	0.235 \| good
2025-10-19T14:00:00.000Z	44 \| good	8.055 \| good	35.259 \| good	32.231 \| good	1.958 \| good	4.681 \| good	0.223 \| good
2025-10-19T15:00:00.000Z	44 \| good	8.252 \| good	36.25 \| good	32.478 \| good	2.272 \| good	4.767 \| good	0.243 \| good
2025-10-19T16:00:00.000Z	44 \| good	8.453 \| good	37.257 \| good	34.841 \| good	1.551 \| good	4.771 \| good	0.223 \| good
2025-10-19T17:00:00.000Z	49 \| good	8.56 \| good	37.297 \| good	44.317 \| good	2.547 \| good	2.434 \| good	0.225 \| good
2025-10-19T18:00:00.000Z	44 \| good	8.079 \| good	35.356 \| good	39.696 \| good	2.456 \| good	2.264 \| good	0.329 \| good
2025-10-19T19:00:00.000Z	38 \| good	7.255 \| good	32.255 \| good	36.876 \| good	1.328 \| good	2.207 \| good	0.185 \| good
2025-10-19T20:00:00.000Z	38 \| good	7.255 \| good	32.255 \| good	36.07 \| good	1.953 \| good	2.68 \| good	0.185 \| good
2025-10-19T21:00:00.000Z	35 \| good	6.15 \| good	27.228 \| good	38.153 \| good	1.188 \| good	2.653 \| good	0.167 \| good
2025-10-19T22:00:00.000Z	33 \| good	4.935 \| good	21.16 \| good	36.268 \| good	1.296 \| good	2.712 \| good	0.166 \| good
2025-10-19T23:00:00.000Z	31 \| good	3.928 \| good	17.125 \| good	33.615 \| good	1.44 \| good	2.576 \| good	0.164 \| good
2025-10-20T00:00:00.000Z	32 \| good	3.226 \| good	14.114 \| good	34.729 \| good	1.685 \| good	2.534 \| good	0.164 \| good
2025-10-20T01:00:00.000Z	34 \| good	2.326 \| good	10.115 \| good	36.584 \| good	3.076 \| good	2.105 \| good	0.146 \| good
2025-10-20T02:00:00.000Z	26 \| good	1.938 \| good	8.173 \| good	27.846 \| good	1.515 \| good	2.064 \| good	0.144 \| good
2025-10-20T03:00:00.000Z	25 \| good	1.826 \| good	8.119 \| good	26.967 \| good	3.094 \| good	1.811 \| good	0.144 \| good
2025-10-20T04:00:00.000Z	26 \| good	1.809 \| good	8.032 \| good	28.001 \| good	5.008 \| good	2.227 \| good	0.144 \| good
2025-10-20T05:00:00.000Z	25 \| good	1.414 \| good	6.059 \| good	27.478 \| good	5.063 \| good	1.82 \| good	0.129 \| good
2025-10-20T06:00:00.000Z	23 \| good	1.014 \| good	4.059 \| good	24.62 \| good	2.264 \| good	1.972 \| good	0.128 \| good
2025-10-20T07:00:00.000Z	22 \| good	0.807 \| good	3.036 \| good	24.239 \| good	1.896 \| good	1.595 \| good	0.126 \| good
2025-10-20T08:00:00.000Z	22 \| good	0.804 \| good	3.024 \| good	24.151 \| good	0.864 \| good	1.469 \| good	0.126 \| good
2025-10-20T09:00:00.000Z	22 \| good	1.501 \| good	6.011 \| good	23.55 \| good	0.987 \| good	1.688 \| good	0.126 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.299 \| good	9.987 \| good	24.277 \| good	1.719 \| good	2.424 \| good	0.141 \| good
2025-10-20T11:00:00.000Z	24 \| good	3.098 \| good	13.975 \| good	25.999 \| good	1.594 \| good	2.946 \| good	0.14 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.705 \| good	16.024 \| good	23.862 \| good	0.854 \| good	3.744 \| good	0.148 \| good
2025-10-20T13:00:00.000Z	22 \| good	4.001 \| good	17.997 \| good	21.459 \| good	0.72 \| good	5.3 \| good	0.164 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.102 \| good	18.008 \| good	22.248 \| good	0.974 \| good	5.943 \| good	0.17 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.101 \| good	18.008 \| good	22.023 \| good	1.776 \| good	5.18 \| good	0.156 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.896 \| good	16.982 \| good	20.568 \| good	1.328 \| good	4.508 \| good	0.141 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.6 \| good	15.996 \| good	20.721 \| good	1.321 \| good	3.675 \| good	0.138 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.398 \| good	14.994 \| good	24.784 \| good	1.56 \| good	3.208 \| good	0.136 \| good
2025-10-20T19:00:00.000Z	24 \| good	3.098 \| good	13.972 \| good	26.238 \| good	2.434 \| good	2.75 \| good	0.135 \| good
2025-10-20T20:00:00.000Z	27 \| good	3.098 \| good	13.972 \| good	28.858 \| good	1.681 \| good	2.573 \| good	0.136 \| good
2025-10-20T21:00:00.000Z	26 \| good	3.097 \| good	13.971 \| good	28.024 \| good	0.988 \| good	2.237 \| good	0.139 \| good
2025-10-20T22:00:00.000Z	30 \| good	3.097 \| good	13.97 \| good	31.652 \| good	0.885 \| good	2.978 \| good	0.142 \| good
2025-10-20T23:00:00.000Z	26 \| good	2.997 \| good	11.996 \| good	27.976 \| good	0.86 \| good	2.272 \| good	0.138 \| good
2025-10-21T00:00:00.000Z	23 \| good	2.998 \| good	11.997 \| good	25.026 \| good	0.75 \| good	5.1 \| good	0.141 \| good
2025-10-21T01:00:00.000Z	19 \| good	3.097 \| good	13.973 \| good	19.617 \| good	1.351 \| good	12.203 \| good	0.161 \| good
2025-10-21T02:00:00.000Z	16 \| good	3.138 \| good	14.172 \| good	16.142 \| good	1.219 \| good	13.988 \| good	0.273 \| good
2025-10-21T03:00:00.000Z	54 \| moderate	10.684 \| good	47.429 \| good	8.641 \| good	2.021 \| good	12.826 \| good	0.232 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	9.617 \| good	43.069 \| good	9.047 \| good	1.247 \| good	16.852 \| good	0.158 \| good
2025-10-21T05:00:00.000Z	52 \| moderate	9.617 \| good	43.069 \| good	7.036 \| good	1.327 \| good	13.47 \| good	0.185 \| good
2025-10-21T06:00:00.000Z	52 \| moderate	9.508 \| good	43.032 \| good	5.954 \| good	1.341 \| good	15.08 \| good	0.223 \| good
2025-10-21T07:00:00.000Z	44 \| good	7.701 \| good	34.008 \| good	7.59 \| good	1.356 \| good	12.374 \| good	0.2 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.301 \| good	28.011 \| good	4.322 \| good	1.322 \| good	7.992 \| good	0.184 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.301 \| good	28.011 \| good	3.072 \| good	1.315 \| good	7.277 \| good	0.234 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.226 \| good	23.119 \| good	3.39 \| good	1.281 \| good	7.502 \| good	0.217 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.242 \| good	19.176 \| good	1.556 \| good	1.246 \| good	7.187 \| good	0.217 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.226 \| good	23.119 \| good	3.39 \| good	1.281 \| good	7.502 \| good	0.217 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.76 \| good	16.429 \| good	13.743 \| good	1.939 \| good	3.804 \| good	0.151 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.162 \| good	22.214 \| good	20.873 \| good	2.172 \| good	3.778 \| good	0.153 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.27 \| good	27.862 \| good	21.513 \| good	2.405 \| good	3.752 \| good	0.154 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.1 \| good	21.94 \| good	25.432 \| good	2.638 \| good	3.727 \| good	0.156 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.359 \| good	28.5 \| good	24.668 \| good	3.066 \| good	3.31 \| good	0.155 \| good
2025-10-21T17:00:00.000Z	38 \| good	7.248 \| good	31.94 \| good	29.66 \| good	3.494 \| good	2.894 \| good	0.153 \| good
2025-10-21T18:00:00.000Z	38 \| good	6.994 \| good	30.937 \| good	37.949 \| good	3.922 \| good	2.477 \| good	0.152 \| good
2025-10-21T19:00:00.000Z	40 \| good	7.297 \| good	31.967 \| good	42.627 \| good	3.729 \| good	2.421 \| good	0.15 \| good
2025-10-21T20:00:00.000Z	39 \| good	7.219 \| good	31.945 \| good	41.88 \| good	3.537 \| good	2.365 \| good	0.147 \| good
2025-10-21T21:00:00.000Z	44 \| good	7.654 \| good	33.747 \| good	38.837 \| good	3.344 \| good	2.309 \| good	0.145 \| good
2025-10-21T22:00:00.000Z	38 \| good	6.764 \| good	29.85 \| good	36.715 \| good	3.038 \| good	4.473 \| good	0.161 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.328 \| good	28.209 \| good	31.075 \| good	2.731 \| good	6.638 \| good	0.177 \| good
2025-10-22T00:00:00.000Z	44 \| good	8.115 \| good	35.46 \| good	26.996 \| good	2.425 \| good	8.802 \| good	0.193 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.226 \| good	36.215 \| good	22.12 \| good	2.355 \| good	7.946 \| good	0.184 \| good
2025-10-22T02:00:00.000Z	33 \| good	6.464 \| good	28.601 \| good	20.811 \| good	2.284 \| good	7.089 \| good	0.176 \| good
2025-10-22T03:00:00.000Z	27 \| good	4.988 \| good	21.679 \| good	27.485 \| good	2.214 \| good	6.232 \| good	0.167 \| good
2025-10-22T04:00:00.000Z	26 \| good	4.37 \| good	19.009 \| good	28.43 \| good	2.272 \| good	5.41 \| good	0.157 \| good
2025-10-22T05:00:00.000Z	22 \| good	4.44 \| good	19.45 \| good	22.891 \| good	2.33 \| good	4.589 \| good	0.147 \| good
2025-10-22T06:00:00.000Z	22 \| good	3.514 \| good	15.449 \| good	23.51 \| good	2.389 \| good	3.767 \| good	0.137 \| good
2025-10-22T07:00:00.000Z	26 \| good	2.714 \| good	11.241 \| good	27.954 \| good	2.3 \| good	3.4 \| good	0.134 \| good
2025-10-22T08:00:00.000Z	29 \| good	3.547 \| good	15.556 \| good	30.663 \| good	2.212 \| good	3.033 \| good	0.13 \| good
2025-10-22T09:00:00.000Z	26 \| good	2.931 \| good	11.761 \| good	28.057 \| good	2.124 \| good	2.666 \| good	0.126 \| good
2025-10-22T10:00:00.000Z	20 \| good	1.382 \| good	5.262 \| good	22.473 \| good	2.039 \| good	2.999 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	16 \| good	2.026 \| good	8.229 \| good	17.349 \| good	1.955 \| good	3.332 \| good	0.132 \| good
2025-10-22T12:00:00.000Z	19 \| good	1.63 \| good	6.85 \| good	19.538 \| good	1.871 \| good	3.665 \| good	0.135 \| good
2025-10-22T13:00:00.000Z	23 \| good	1.525 \| good	6.151 \| good	25.352 \| good	1.807 \| good	3.263 \| good	0.134 \| good
2025-10-22T14:00:00.000Z	25 \| good	2.453 \| good	10.081 \| good	26.807 \| good	1.742 \| good	2.86 \| good	0.134 \| good
2025-10-22T15:00:00.000Z	24 \| good	3.568 \| good	15.634 \| good	25.975 \| good	1.678 \| good	2.458 \| good	0.133 \| good
2025-10-22T16:00:00.000Z	21 \| good	2.736 \| good	10.992 \| good	22.771 \| good	1.583 \| good	2.315 \| good	0.131 \| good
2025-10-22T17:00:00.000Z	20 \| good	3.463 \| good	15.389 \| good	22.184 \| good	1.488 \| good	2.172 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	21 \| good	3.241 \| good	14.115 \| good	22.929 \| good	1.394 \| good	2.029 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	24 \| good	3.614 \| good	15.882 \| good	25.904 \| good	1.424 \| good	2.359 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	26 \| good	3.875 \| good	16.757 \| good	27.87 \| good	1.454 \| good	2.689 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	27 \| good	5.047 \| good	21.672 \| good	27.406 \| good	1.485 \| good	3.019 \| good	0.137 \| good
2025-10-22T22:00:00.000Z	27 \| good	5.055 \| good	21.765 \| good	25.09 \| good	1.648 \| good	3.519 \| good	0.141 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.877 \| good	21.034 \| good	24.598 \| good	1.811 \| good	4.019 \| good	0.145 \| good
2025-10-23T00:00:00.000Z	27 \| good	5.192 \| good	22.516 \| good	23.175 \| good	1.974 \| good	4.519 \| good	0.15 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.497 \| good	23.613 \| good	22.387 \| good	1.919 \| good	4.255 \| good	0.148 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.621 \| good	24.055 \| good	19.206 \| good	1.865 \| good	3.99 \| good	0.147 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.3 \| good	22.735 \| good	23.291 \| good	1.81 \| good	3.725 \| good	0.145 \| good
2025-10-23T04:00:00.000Z	27 \| good	5.147 \| good	22.099 \| good	22.642 \| good	1.7 \| good	3.491 \| good	0.144 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.956 \| good	21.233 \| good	22.578 \| good	1.59 \| good	3.256 \| good	0.142 \| good
2025-10-23T06:00:00.000Z	24 \| good	3.541 \| good	3.543 \| good	25.826 \| good	1.476 \| good	3.025 \| good	0.141 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.244 \| good	18.323 \| good	22.214 \| good	1.458 \| good	2.916 \| good	0.14 \| good
2025-10-23T08:00:00.000Z	27 \| good	4.504 \| good	19.477 \| good	21.156 \| good	1.435 \| good	2.81 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	22 \| good	4.475 \| good	19.25 \| good	21.12 \| good	1.413 \| good	2.703 \| good	0.138 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.767 \| good	20.73 \| good	19.802 \| good	1.477 \| good	2.968 \| good	0.14 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.041 \| good	21.844 \| good	18.748 \| good	1.54 \| good	3.232 \| good	0.142 \| good

Wilkinsburg

Get reliable air quality data to drive your business

Wilkinsburg, Pennsylvania air quality map: Track AQI near you

0.21ppm

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 Wilkinsburg, Pennsylvania updated?

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

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

The worst air quality in Wilkinsburg, Pennsylvania in the last 24 hours was observed at 03:00:00 on 2025-10-21.

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

In the last 24 hrs, the best air quality in Wilkinsburg, Pennsylvania was observed at 02:00:00 on 2025-10-21.

What is the current air quality in Wilkinsburg, Pennsylvania?

The current air quality in Wilkinsburg, Pennsylvania is 27, categorized as Good based on real-time data.

What pollutant is the most common in Wilkinsburg, Pennsylvania?

The most common pollutant in Wilkinsburg, Pennsylvania is PM2.5.

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

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

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

The current PM_2.5 concentration at Wilkinsburg, Pennsylvania is 5.226 μg/m³.

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

The current PM₁₀ concentration at Wilkinsburg, Pennsylvania is 23.119 μg/m³.

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

The current carbon monoxide (CO) concentration at Wilkinsburg, Pennsylvania is 0.217 ppm.

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

The current sulfur dioxide (SO₂) concentration at Wilkinsburg, Pennsylvania is 1.281 ppb.

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

The current ozone (O₃) concentration at Wilkinsburg, Pennsylvania is 3.39 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Wilkinsburg, Pennsylvania is 7.502 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	44 \| good	8.256 \| good	36.255 \| good	18.276 \| good	2.239 \| good	5.647 \| good	0.27 \| good
2025-10-19T13:00:00.000Z	44 \| good	7.955 \| good	35.264 \| good	23.754 \| good	1.783 \| good	5.586 \| good	0.235 \| good
2025-10-19T14:00:00.000Z	44 \| good	8.055 \| good	35.259 \| good	32.231 \| good	1.958 \| good	4.681 \| good	0.223 \| good
2025-10-19T15:00:00.000Z	44 \| good	8.252 \| good	36.25 \| good	32.478 \| good	2.272 \| good	4.767 \| good	0.243 \| good
2025-10-19T16:00:00.000Z	44 \| good	8.453 \| good	37.257 \| good	34.841 \| good	1.551 \| good	4.771 \| good	0.223 \| good
2025-10-19T17:00:00.000Z	49 \| good	8.56 \| good	37.297 \| good	44.317 \| good	2.547 \| good	2.434 \| good	0.225 \| good
2025-10-19T18:00:00.000Z	44 \| good	8.079 \| good	35.356 \| good	39.696 \| good	2.456 \| good	2.264 \| good	0.329 \| good
2025-10-19T19:00:00.000Z	38 \| good	7.255 \| good	32.255 \| good	36.876 \| good	1.328 \| good	2.207 \| good	0.185 \| good
2025-10-19T20:00:00.000Z	38 \| good	7.255 \| good	32.255 \| good	36.07 \| good	1.953 \| good	2.68 \| good	0.185 \| good
2025-10-19T21:00:00.000Z	35 \| good	6.15 \| good	27.228 \| good	38.153 \| good	1.188 \| good	2.653 \| good	0.167 \| good
2025-10-19T22:00:00.000Z	33 \| good	4.935 \| good	21.16 \| good	36.268 \| good	1.296 \| good	2.712 \| good	0.166 \| good
2025-10-19T23:00:00.000Z	31 \| good	3.928 \| good	17.125 \| good	33.615 \| good	1.44 \| good	2.576 \| good	0.164 \| good
2025-10-20T00:00:00.000Z	32 \| good	3.226 \| good	14.114 \| good	34.729 \| good	1.685 \| good	2.534 \| good	0.164 \| good
2025-10-20T01:00:00.000Z	34 \| good	2.326 \| good	10.115 \| good	36.584 \| good	3.076 \| good	2.105 \| good	0.146 \| good
2025-10-20T02:00:00.000Z	26 \| good	1.938 \| good	8.173 \| good	27.846 \| good	1.515 \| good	2.064 \| good	0.144 \| good
2025-10-20T03:00:00.000Z	25 \| good	1.826 \| good	8.119 \| good	26.967 \| good	3.094 \| good	1.811 \| good	0.144 \| good
2025-10-20T04:00:00.000Z	26 \| good	1.809 \| good	8.032 \| good	28.001 \| good	5.008 \| good	2.227 \| good	0.144 \| good
2025-10-20T05:00:00.000Z	25 \| good	1.414 \| good	6.059 \| good	27.478 \| good	5.063 \| good	1.82 \| good	0.129 \| good
2025-10-20T06:00:00.000Z	23 \| good	1.014 \| good	4.059 \| good	24.62 \| good	2.264 \| good	1.972 \| good	0.128 \| good
2025-10-20T07:00:00.000Z	22 \| good	0.807 \| good	3.036 \| good	24.239 \| good	1.896 \| good	1.595 \| good	0.126 \| good
2025-10-20T08:00:00.000Z	22 \| good	0.804 \| good	3.024 \| good	24.151 \| good	0.864 \| good	1.469 \| good	0.126 \| good
2025-10-20T09:00:00.000Z	22 \| good	1.501 \| good	6.011 \| good	23.55 \| good	0.987 \| good	1.688 \| good	0.126 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.299 \| good	9.987 \| good	24.277 \| good	1.719 \| good	2.424 \| good	0.141 \| good
2025-10-20T11:00:00.000Z	24 \| good	3.098 \| good	13.975 \| good	25.999 \| good	1.594 \| good	2.946 \| good	0.14 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.705 \| good	16.024 \| good	23.862 \| good	0.854 \| good	3.744 \| good	0.148 \| good
2025-10-20T13:00:00.000Z	22 \| good	4.001 \| good	17.997 \| good	21.459 \| good	0.72 \| good	5.3 \| good	0.164 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.102 \| good	18.008 \| good	22.248 \| good	0.974 \| good	5.943 \| good	0.17 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.101 \| good	18.008 \| good	22.023 \| good	1.776 \| good	5.18 \| good	0.156 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.896 \| good	16.982 \| good	20.568 \| good	1.328 \| good	4.508 \| good	0.141 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.6 \| good	15.996 \| good	20.721 \| good	1.321 \| good	3.675 \| good	0.138 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.398 \| good	14.994 \| good	24.784 \| good	1.56 \| good	3.208 \| good	0.136 \| good
2025-10-20T19:00:00.000Z	24 \| good	3.098 \| good	13.972 \| good	26.238 \| good	2.434 \| good	2.75 \| good	0.135 \| good
2025-10-20T20:00:00.000Z	27 \| good	3.098 \| good	13.972 \| good	28.858 \| good	1.681 \| good	2.573 \| good	0.136 \| good
2025-10-20T21:00:00.000Z	26 \| good	3.097 \| good	13.971 \| good	28.024 \| good	0.988 \| good	2.237 \| good	0.139 \| good
2025-10-20T22:00:00.000Z	30 \| good	3.097 \| good	13.97 \| good	31.652 \| good	0.885 \| good	2.978 \| good	0.142 \| good
2025-10-20T23:00:00.000Z	26 \| good	2.997 \| good	11.996 \| good	27.976 \| good	0.86 \| good	2.272 \| good	0.138 \| good
2025-10-21T00:00:00.000Z	23 \| good	2.998 \| good	11.997 \| good	25.026 \| good	0.75 \| good	5.1 \| good	0.141 \| good
2025-10-21T01:00:00.000Z	19 \| good	3.097 \| good	13.973 \| good	19.617 \| good	1.351 \| good	12.203 \| good	0.161 \| good
2025-10-21T02:00:00.000Z	16 \| good	3.138 \| good	14.172 \| good	16.142 \| good	1.219 \| good	13.988 \| good	0.273 \| good
2025-10-21T03:00:00.000Z	54 \| moderate	10.684 \| good	47.429 \| good	8.641 \| good	2.021 \| good	12.826 \| good	0.232 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	9.617 \| good	43.069 \| good	9.047 \| good	1.247 \| good	16.852 \| good	0.158 \| good
2025-10-21T05:00:00.000Z	52 \| moderate	9.617 \| good	43.069 \| good	7.036 \| good	1.327 \| good	13.47 \| good	0.185 \| good
2025-10-21T06:00:00.000Z	52 \| moderate	9.508 \| good	43.032 \| good	5.954 \| good	1.341 \| good	15.08 \| good	0.223 \| good
2025-10-21T07:00:00.000Z	44 \| good	7.701 \| good	34.008 \| good	7.59 \| good	1.356 \| good	12.374 \| good	0.2 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.301 \| good	28.011 \| good	4.322 \| good	1.322 \| good	7.992 \| good	0.184 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.301 \| good	28.011 \| good	3.072 \| good	1.315 \| good	7.277 \| good	0.234 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.226 \| good	23.119 \| good	3.39 \| good	1.281 \| good	7.502 \| good	0.217 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.242 \| good	19.176 \| good	1.556 \| good	1.246 \| good	7.187 \| good	0.217 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.226 \| good	23.119 \| good	3.39 \| good	1.281 \| good	7.502 \| good	0.217 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.76 \| good	16.429 \| good	13.743 \| good	1.939 \| good	3.804 \| good	0.151 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.162 \| good	22.214 \| good	20.873 \| good	2.172 \| good	3.778 \| good	0.153 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.27 \| good	27.862 \| good	21.513 \| good	2.405 \| good	3.752 \| good	0.154 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.1 \| good	21.94 \| good	25.432 \| good	2.638 \| good	3.727 \| good	0.156 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.359 \| good	28.5 \| good	24.668 \| good	3.066 \| good	3.31 \| good	0.155 \| good
2025-10-21T17:00:00.000Z	38 \| good	7.248 \| good	31.94 \| good	29.66 \| good	3.494 \| good	2.894 \| good	0.153 \| good
2025-10-21T18:00:00.000Z	38 \| good	6.994 \| good	30.937 \| good	37.949 \| good	3.922 \| good	2.477 \| good	0.152 \| good
2025-10-21T19:00:00.000Z	40 \| good	7.297 \| good	31.967 \| good	42.627 \| good	3.729 \| good	2.421 \| good	0.15 \| good
2025-10-21T20:00:00.000Z	39 \| good	7.219 \| good	31.945 \| good	41.88 \| good	3.537 \| good	2.365 \| good	0.147 \| good
2025-10-21T21:00:00.000Z	44 \| good	7.654 \| good	33.747 \| good	38.837 \| good	3.344 \| good	2.309 \| good	0.145 \| good
2025-10-21T22:00:00.000Z	38 \| good	6.764 \| good	29.85 \| good	36.715 \| good	3.038 \| good	4.473 \| good	0.161 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.328 \| good	28.209 \| good	31.075 \| good	2.731 \| good	6.638 \| good	0.177 \| good
2025-10-22T00:00:00.000Z	44 \| good	8.115 \| good	35.46 \| good	26.996 \| good	2.425 \| good	8.802 \| good	0.193 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.226 \| good	36.215 \| good	22.12 \| good	2.355 \| good	7.946 \| good	0.184 \| good
2025-10-22T02:00:00.000Z	33 \| good	6.464 \| good	28.601 \| good	20.811 \| good	2.284 \| good	7.089 \| good	0.176 \| good
2025-10-22T03:00:00.000Z	27 \| good	4.988 \| good	21.679 \| good	27.485 \| good	2.214 \| good	6.232 \| good	0.167 \| good
2025-10-22T04:00:00.000Z	26 \| good	4.37 \| good	19.009 \| good	28.43 \| good	2.272 \| good	5.41 \| good	0.157 \| good
2025-10-22T05:00:00.000Z	22 \| good	4.44 \| good	19.45 \| good	22.891 \| good	2.33 \| good	4.589 \| good	0.147 \| good
2025-10-22T06:00:00.000Z	22 \| good	3.514 \| good	15.449 \| good	23.51 \| good	2.389 \| good	3.767 \| good	0.137 \| good
2025-10-22T07:00:00.000Z	26 \| good	2.714 \| good	11.241 \| good	27.954 \| good	2.3 \| good	3.4 \| good	0.134 \| good
2025-10-22T08:00:00.000Z	29 \| good	3.547 \| good	15.556 \| good	30.663 \| good	2.212 \| good	3.033 \| good	0.13 \| good
2025-10-22T09:00:00.000Z	26 \| good	2.931 \| good	11.761 \| good	28.057 \| good	2.124 \| good	2.666 \| good	0.126 \| good
2025-10-22T10:00:00.000Z	20 \| good	1.382 \| good	5.262 \| good	22.473 \| good	2.039 \| good	2.999 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	16 \| good	2.026 \| good	8.229 \| good	17.349 \| good	1.955 \| good	3.332 \| good	0.132 \| good
2025-10-22T12:00:00.000Z	19 \| good	1.63 \| good	6.85 \| good	19.538 \| good	1.871 \| good	3.665 \| good	0.135 \| good
2025-10-22T13:00:00.000Z	23 \| good	1.525 \| good	6.151 \| good	25.352 \| good	1.807 \| good	3.263 \| good	0.134 \| good
2025-10-22T14:00:00.000Z	25 \| good	2.453 \| good	10.081 \| good	26.807 \| good	1.742 \| good	2.86 \| good	0.134 \| good
2025-10-22T15:00:00.000Z	24 \| good	3.568 \| good	15.634 \| good	25.975 \| good	1.678 \| good	2.458 \| good	0.133 \| good
2025-10-22T16:00:00.000Z	21 \| good	2.736 \| good	10.992 \| good	22.771 \| good	1.583 \| good	2.315 \| good	0.131 \| good
2025-10-22T17:00:00.000Z	20 \| good	3.463 \| good	15.389 \| good	22.184 \| good	1.488 \| good	2.172 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	21 \| good	3.241 \| good	14.115 \| good	22.929 \| good	1.394 \| good	2.029 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	24 \| good	3.614 \| good	15.882 \| good	25.904 \| good	1.424 \| good	2.359 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	26 \| good	3.875 \| good	16.757 \| good	27.87 \| good	1.454 \| good	2.689 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	27 \| good	5.047 \| good	21.672 \| good	27.406 \| good	1.485 \| good	3.019 \| good	0.137 \| good
2025-10-22T22:00:00.000Z	27 \| good	5.055 \| good	21.765 \| good	25.09 \| good	1.648 \| good	3.519 \| good	0.141 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.877 \| good	21.034 \| good	24.598 \| good	1.811 \| good	4.019 \| good	0.145 \| good
2025-10-23T00:00:00.000Z	27 \| good	5.192 \| good	22.516 \| good	23.175 \| good	1.974 \| good	4.519 \| good	0.15 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.497 \| good	23.613 \| good	22.387 \| good	1.919 \| good	4.255 \| good	0.148 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.621 \| good	24.055 \| good	19.206 \| good	1.865 \| good	3.99 \| good	0.147 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.3 \| good	22.735 \| good	23.291 \| good	1.81 \| good	3.725 \| good	0.145 \| good
2025-10-23T04:00:00.000Z	27 \| good	5.147 \| good	22.099 \| good	22.642 \| good	1.7 \| good	3.491 \| good	0.144 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.956 \| good	21.233 \| good	22.578 \| good	1.59 \| good	3.256 \| good	0.142 \| good
2025-10-23T06:00:00.000Z	24 \| good	3.541 \| good	3.543 \| good	25.826 \| good	1.476 \| good	3.025 \| good	0.141 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.244 \| good	18.323 \| good	22.214 \| good	1.458 \| good	2.916 \| good	0.14 \| good
2025-10-23T08:00:00.000Z	27 \| good	4.504 \| good	19.477 \| good	21.156 \| good	1.435 \| good	2.81 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	22 \| good	4.475 \| good	19.25 \| good	21.12 \| good	1.413 \| good	2.703 \| good	0.138 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.767 \| good	20.73 \| good	19.802 \| good	1.477 \| good	2.968 \| good	0.14 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.041 \| good	21.844 \| good	18.748 \| good	1.54 \| good	3.232 \| good	0.142 \| good

Wilkinsburg, Pennsylvania live air quality index now

Major air pollutants in Wilkinsburg, 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 in nearby cities

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Pittsburgh, Pennsylvania

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Frequently asked questions

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

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

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

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

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

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

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

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

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

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