What is the current concentration of PM10 in Beckley, West Virginia?

The current PM10 concentration at Beckley, West Virginia is 20.102 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Beckley, West Virginia?

The current sulfur dioxide (SO2) concentration at Beckley, West Virginia is 0.706 ppb.

What is the current concentration of ozone (O3) in Beckley, West Virginia?

The current ozone (O3) concentration at Beckley, West Virginia is 15.313 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Beckley, West Virginia?

The current nitrogen dioxide (NO2) concentration at Beckley, West Virginia is 2.027 ppb.

Beckley, West Virginia live air quality index now

Name: Live air pollution levels in Beckley, West Virginia today
Creator: Ambee

Stay updated with real-time air quality in Beckley, West Virginia 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

Beckley, West Virginia

Last updated: ... (Local time)

Major air pollutants in Beckley, West Virginia

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.63 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

20.10 μg/m³

155

255

425

605+

Ozone (O₃)

15.31 ppb

201

201+

Sulfur Dioxide (SO₂)

0.71 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.03 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.13 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Beckley, West Virginia

Get Live Pollen Counts

Beckley, West Virginia

Scroll To Air Quality Map

Track live Beckley, West Virginia air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	52 \| moderate	9.744 \| good	43.17 \| good	28.902 \| good	1.071 \| good	1.059 \| good	0.154 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.158 \| good	44.908 \| good	33.333 \| good	1.063 \| good	1.044 \| good	0.151 \| good
2025-10-19T14:00:00.000Z	44 \| good	8.1 \| good	35.693 \| good	36.541 \| good	1.055 \| good	1.029 \| good	0.147 \| good
2025-10-19T15:00:00.000Z	33 \| good	5.274 \| good	22.785 \| good	36.365 \| good	1.047 \| good	1.015 \| good	0.144 \| good
2025-10-19T16:00:00.000Z	36 \| good	4.475 \| good	19.423 \| good	38.772 \| good	0.913 \| good	1.01 \| good	0.14 \| good
2025-10-19T17:00:00.000Z	41 \| good	2.707 \| good	11 \| good	44.199 \| good	0.778 \| good	1.006 \| good	0.137 \| good
2025-10-19T18:00:00.000Z	43 \| good	2.546 \| good	10.577 \| good	45.541 \| good	0.644 \| good	1.002 \| good	0.133 \| good
2025-10-19T20:00:00.000Z	43 \| good	1.304 \| good	5 \| good	45.721 \| good	0.475 \| good	1.137 \| good	0.131 \| good
2025-10-19T21:00:00.000Z	40 \| good	1.913 \| good	7.739 \| good	43.079 \| good	0.391 \| good	1.204 \| good	0.13 \| good
2025-10-19T22:00:00.000Z	38 \| good	2.765 \| good	11.31 \| good	41.078 \| good	0.484 \| good	1.314 \| good	0.129 \| good
2025-10-19T23:00:00.000Z	38 \| good	4.714 \| good	20.316 \| good	41 \| good	0.578 \| good	1.423 \| good	0.127 \| good
2025-10-20T00:00:00.000Z	34 \| good	4.077 \| good	17.887 \| good	37.055 \| good	0.672 \| good	1.533 \| good	0.126 \| good
2025-10-20T01:00:00.000Z	34 \| good	3.447 \| good	14.82 \| good	36.828 \| good	0.737 \| good	1.447 \| good	0.118 \| good
2025-10-20T02:00:00.000Z	33 \| good	3.342 \| good	14.739 \| good	36.216 \| good	0.803 \| good	1.361 \| good	0.111 \| good
2025-10-20T03:00:00.000Z	33 \| good	2.787 \| good	11.571 \| good	35.793 \| good	0.868 \| good	1.276 \| good	0.103 \| good
2025-10-20T04:00:00.000Z	33 \| good	3.793 \| good	16.577 \| good	36.228 \| good	0.913 \| good	1.295 \| good	0.104 \| good
2025-10-20T05:00:00.000Z	33 \| good	4.503 \| good	19.792 \| good	35.708 \| good	0.958 \| good	1.315 \| good	0.105 \| good
2025-10-20T06:00:00.000Z	32 \| good	4.024 \| good	17.933 \| good	34.755 \| good	1.002 \| good	1.334 \| good	0.106 \| good
2025-10-20T07:00:00.000Z	30 \| good	4.793 \| good	20.739 \| good	32.282 \| good	1.289 \| good	1.343 \| good	0.107 \| good
2025-10-20T08:00:00.000Z	28 \| good	4.719 \| good	20.264 \| good	29.723 \| good	1.576 \| good	1.353 \| good	0.109 \| good
2025-10-20T09:00:00.000Z	27 \| good	5.019 \| good	21.841 \| good	27.124 \| good	1.863 \| good	1.362 \| good	0.11 \| good
2025-10-20T10:00:00.000Z	27 \| good	4.632 \| good	20.197 \| good	21.146 \| good	1.939 \| good	1.623 \| good	0.113 \| good
2025-10-20T11:00:00.000Z	22 \| good	4.048 \| good	17.625 \| good	19.242 \| good	2.015 \| good	1.885 \| good	0.116 \| good
2025-10-20T12:00:00.000Z	27 \| good	5.01 \| good	21.679 \| good	25.864 \| good	1.735 \| good	1.964 \| good	0.13 \| good
2025-10-20T13:00:00.000Z	27 \| good	4.64 \| good	20.154 \| good	28.683 \| good	1.939 \| good	1.746 \| good	0.131 \| good
2025-10-20T14:00:00.000Z	30 \| good	4.239 \| good	18.644 \| good	31.613 \| good	2.143 \| good	1.528 \| good	0.132 \| good
2025-10-20T15:00:00.000Z	31 \| good	3.678 \| good	16.067 \| good	33.621 \| good	2.347 \| good	1.311 \| good	0.133 \| good
2025-10-20T16:00:00.000Z	32 \| good	2.848 \| good	11.933 \| good	34.799 \| good	2.058 \| good	1.043 \| good	0.13 \| good
2025-10-20T17:00:00.000Z	33 \| good	2.777 \| good	11.215 \| good	35.588 \| good	1.77 \| good	0.776 \| good	0.126 \| good
2025-10-20T18:00:00.000Z	32 \| good	3.506 \| good	15.51 \| good	35.327 \| good	1.482 \| good	0.509 \| good	0.122 \| good
2025-10-20T19:00:00.000Z	33 \| good	3.433 \| good	14.954 \| good	35.56 \| good	1.348 \| good	0.507 \| good	0.12 \| good
2025-10-20T20:00:00.000Z	32 \| good	2.76 \| good	11.215 \| good	34.875 \| good	1.215 \| good	0.506 \| good	0.118 \| good
2025-10-20T21:00:00.000Z	32 \| good	2.57 \| good	10.215 \| good	34.861 \| good	1.082 \| good	0.504 \| good	0.116 \| good
2025-10-20T22:00:00.000Z	28 \| good	2.844 \| good	11.941 \| good	30.444 \| good	1.053 \| good	2.285 \| good	0.134 \| good
2025-10-20T23:00:00.000Z	22 \| good	3.644 \| good	15.746 \| good	24.124 \| good	1.024 \| good	4.065 \| good	0.152 \| good
2025-10-21T00:00:00.000Z	27 \| good	5.17 \| good	22.323 \| good	22.564 \| good	0.996 \| good	5.846 \| good	0.17 \| good
2025-10-21T01:00:00.000Z	27 \| good	5.367 \| good	23.539 \| good	23.065 \| good	1.022 \| good	7.236 \| good	0.196 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.727 \| good	20.531 \| good	21.745 \| good	1.001 \| good	8.122 \| good	0.208 \| good
2025-10-21T03:00:00.000Z	22 \| good	4.111 \| good	17.887 \| good	20.304 \| good	0.98 \| good	9.008 \| good	0.22 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.554 \| good	19.792 \| good	18.915 \| good	0.906 \| good	7.467 \| good	0.203 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.202 \| good	22.531 \| good	15.673 \| good	0.833 \| good	5.926 \| good	0.186 \| good
2025-10-21T06:00:00.000Z	27 \| good	5.049 \| good	21.792 \| good	16.288 \| good	0.759 \| good	4.385 \| good	0.17 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.901 \| good	21.148 \| good	16.09 \| good	0.721 \| good	3.715 \| good	0.16 \| good
2025-10-21T08:00:00.000Z	33 \| good	5.721 \| good	24.746 \| good	15.219 \| good	0.682 \| good	3.046 \| good	0.15 \| good
2025-10-21T09:00:00.000Z	27 \| good	5.215 \| good	22.531 \| good	15.589 \| good	0.644 \| good	2.376 \| good	0.14 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.52 \| good	19.725 \| good	14.214 \| good	0.675 \| good	2.201 \| good	0.136 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.627 \| good	20.102 \| good	15.313 \| good	0.706 \| good	2.027 \| good	0.131 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.627 \| good	20.102 \| good	15.313 \| good	0.706 \| good	2.027 \| good	0.131 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.27 \| good	22.705 \| good	16.906 \| good	0.737 \| good	1.85 \| good	0.127 \| good
2025-10-21T13:00:00.000Z	27 \| good	4.954 \| good	21.522 \| good	24.749 \| good	0.843 \| good	1.644 \| good	0.129 \| good
2025-10-21T14:00:00.000Z	31 \| good	3.614 \| good	15.901 \| good	34.366 \| good	0.95 \| good	1.439 \| good	0.131 \| good
2025-10-21T15:00:00.000Z	37 \| good	3.689 \| good	16.154 \| good	39.697 \| good	1.056 \| good	1.234 \| good	0.133 \| good
2025-10-21T16:00:00.000Z	40 \| good	3.816 \| good	16.572 \| good	42.547 \| good	1.022 \| good	0.989 \| good	0.133 \| good
2025-10-21T17:00:00.000Z	40 \| good	4.496 \| good	19.708 \| good	42.637 \| good	0.989 \| good	0.744 \| good	0.133 \| good
2025-10-21T18:00:00.000Z	38 \| good	5.426 \| good	23.439 \| good	41.2 \| good	0.955 \| good	0.499 \| good	0.134 \| good
2025-10-21T19:00:00.000Z	37 \| good	4.71 \| good	20.53 \| good	39.78 \| good	0.895 \| good	0.516 \| good	0.134 \| good
2025-10-21T20:00:00.000Z	37 \| good	4.087 \| good	17.901 \| good	40.476 \| good	0.835 \| good	0.534 \| good	0.134 \| good
2025-10-21T21:00:00.000Z	37 \| good	4.994 \| good	21.545 \| good	40.419 \| good	0.774 \| good	0.552 \| good	0.134 \| good
2025-10-21T22:00:00.000Z	36 \| good	5.195 \| good	22.539 \| good	38.979 \| good	0.791 \| good	0.879 \| good	0.133 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.135 \| good	27.262 \| good	35.976 \| good	0.807 \| good	1.206 \| good	0.132 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.745 \| good	30.115 \| good	31.128 \| good	0.824 \| good	1.534 \| good	0.131 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.489 \| good	32.954 \| good	29.884 \| good	1.002 \| good	1.448 \| good	0.127 \| good
2025-10-22T02:00:00.000Z	38 \| good	7.308 \| good	32.264 \| good	28.918 \| good	1.18 \| good	1.363 \| good	0.123 \| good
2025-10-22T03:00:00.000Z	33 \| good	6.155 \| good	27.223 \| good	29.597 \| good	1.359 \| good	1.278 \| good	0.119 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.406 \| good	23.153 \| good	28.84 \| good	1.24 \| good	1.236 \| good	0.118 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.138 \| good	27.168 \| good	29.061 \| good	1.121 \| good	1.194 \| good	0.117 \| good
2025-10-22T06:00:00.000Z	29 \| good	4.53 \| good	19.922 \| good	31.025 \| good	1.002 \| good	1.152 \| good	0.117 \| good
2025-10-22T07:00:00.000Z	28 \| good	4.538 \| good	19.791 \| good	30.213 \| good	1.103 \| good	1.196 \| good	0.117 \| good
2025-10-22T08:00:00.000Z	27 \| good	5.171 \| good	22.282 \| good	28.372 \| good	1.205 \| good	1.241 \| good	0.117 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.59 \| good	19.778 \| good	29.05 \| good	1.306 \| good	1.286 \| good	0.117 \| good
2025-10-22T10:00:00.000Z	27 \| good	3.732 \| good	16.201 \| good	28.559 \| good	1.389 \| good	1.397 \| good	0.117 \| good
2025-10-22T11:00:00.000Z	28 \| good	3.249 \| good	14.449 \| good	30.148 \| good	1.473 \| good	1.509 \| good	0.117 \| good
2025-10-22T12:00:00.000Z	29 \| good	3.979 \| good	17.484 \| good	30.708 \| good	1.557 \| good	1.621 \| good	0.117 \| good
2025-10-22T13:00:00.000Z	31 \| good	3.127 \| good	13.356 \| good	32.73 \| good	1.498 \| good	1.395 \| good	0.117 \| good
2025-10-22T14:00:00.000Z	31 \| good	2.183 \| good	8.917 \| good	33.222 \| good	1.439 \| good	1.17 \| good	0.117 \| good
2025-10-22T15:00:00.000Z	31 \| good	2.204 \| good	9 \| good	33.857 \| good	1.38 \| good	0.945 \| good	0.117 \| good
2025-10-22T16:00:00.000Z	33 \| good	1.901 \| good	8 \| good	35.774 \| good	1.185 \| good	0.784 \| good	0.113 \| good
2025-10-22T17:00:00.000Z	35 \| good	2.617 \| good	10.577 \| good	38.448 \| good	0.991 \| good	0.623 \| good	0.11 \| good
2025-10-22T18:00:00.000Z	37 \| good	3.558 \| good	15.721 \| good	40.399 \| good	0.796 \| good	0.462 \| good	0.106 \| good
2025-10-22T19:00:00.000Z	38 \| good	2.819 \| good	11.53 \| good	40.673 \| good	0.81 \| good	0.486 \| good	0.106 \| good
2025-10-22T20:00:00.000Z	38 \| good	2.222 \| good	9.147 \| good	40.741 \| good	0.825 \| good	0.509 \| good	0.106 \| good
2025-10-22T21:00:00.000Z	36 \| good	2.418 \| good	9.945 \| good	39.029 \| good	0.839 \| good	0.532 \| good	0.106 \| good
2025-10-22T22:00:00.000Z	35 \| good	2.276 \| good	9.185 \| good	37.914 \| good	0.917 \| good	0.823 \| good	0.109 \| good
2025-10-22T23:00:00.000Z	32 \| good	2.636 \| good	10.855 \| good	34.748 \| good	0.996 \| good	1.114 \| good	0.112 \| good
2025-10-23T00:00:00.000Z	31 \| good	3.937 \| good	17.484 \| good	34.085 \| good	1.074 \| good	1.406 \| good	0.114 \| good
2025-10-23T01:00:00.000Z	31 \| good	5.447 \| good	23.921 \| good	32.503 \| good	1.191 \| good	1.405 \| good	0.114 \| good
2025-10-23T02:00:00.000Z	30 \| good	5.069 \| good	21.776 \| good	31.972 \| good	1.308 \| good	1.405 \| good	0.114 \| good
2025-10-23T03:00:00.000Z	29 \| good	4.752 \| good	20.494 \| good	30.927 \| good	1.425 \| good	1.405 \| good	0.114 \| good
2025-10-23T04:00:00.000Z	29 \| good	4.676 \| good	20.439 \| good	31.256 \| good	1.514 \| good	1.4 \| good	0.114 \| good
2025-10-23T05:00:00.000Z	29 \| good	5.494 \| good	23.74 \| good	30.518 \| good	1.604 \| good	1.395 \| good	0.113 \| good
2025-10-23T06:00:00.000Z	34 \| good	2.857 \| good	2.934 \| good	36.525 \| good	1.668 \| good	1.377 \| good	0.113 \| good
2025-10-23T07:00:00.000Z	27 \| good	4.483 \| good	19.539 \| good	29.067 \| good	1.784 \| good	1.428 \| good	0.114 \| good
2025-10-23T08:00:00.000Z	27 \| good	4.957 \| good	21.494 \| good	26.349 \| good	1.875 \| good	1.465 \| good	0.115 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.515 \| good	19.539 \| good	25.751 \| good	1.965 \| good	1.502 \| good	0.115 \| good
2025-10-23T10:00:00.000Z	22 \| good	4.429 \| good	19.201 \| good	21.881 \| good	2.031 \| good	1.745 \| good	0.118 \| good
2025-10-23T11:00:00.000Z	27 \| good	4.628 \| good	19.99 \| good	20.087 \| good	2.097 \| good	1.989 \| good	0.12 \| good

Beckley

Get reliable air quality data to drive your business

Beckley, West Virginia air quality map: Track AQI near you

0.23ppm

How accurate is West Virginia, USA air quality data?

Air quality data and pollutant measurements for West Virginia, 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 Beckley, West Virginia updated?

The air quality for Beckley, West Virginia is updated every hour.

When was the worst air quality at Beckley, West Virginia in the last 24 hrs?

The worst air quality in Beckley, West Virginia in the last 24 hours was observed at 08:00:00 on 2025-10-21.

When was the best air quality at Beckley, West Virginia in the last 24 hrs?

In the last 24 hrs, the best air quality in Beckley, West Virginia was observed at 03:00:00 on 2025-10-21.

What is the current air quality in Beckley, West Virginia?

The current air quality in Beckley, West Virginia is 27, categorized as Good based on real-time data.

What pollutant is the most common in Beckley, West Virginia?

The most common pollutant in Beckley, West Virginia is PM2.5.

What should I do if the air quality in Beckley, West Virginia is poor?

If the air quality in Beckley, West Virginia is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Beckley, West Virginia?

The current PM_2.5 concentration at Beckley, West Virginia is 4.627 μg/m³.

What is the current concentration of PM₁₀ in Beckley, West Virginia?

The current PM₁₀ concentration at Beckley, West Virginia is 20.102 μg/m³.

What is the current concentration of carbon monoxide (CO) in Beckley, West Virginia?

The current carbon monoxide (CO) concentration at Beckley, West Virginia is 0.131 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Beckley, West Virginia?

The current sulfur dioxide (SO₂) concentration at Beckley, West Virginia is 0.706 ppb.

What is the current concentration of ozone (O₃) in Beckley, West Virginia?

The current ozone (O₃) concentration at Beckley, West Virginia is 15.313 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Beckley, West Virginia?

The current nitrogen dioxide (NO₂) concentration at Beckley, West Virginia is 2.027 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	52 \| moderate	9.744 \| good	43.17 \| good	28.902 \| good	1.071 \| good	1.059 \| good	0.154 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.158 \| good	44.908 \| good	33.333 \| good	1.063 \| good	1.044 \| good	0.151 \| good
2025-10-19T14:00:00.000Z	44 \| good	8.1 \| good	35.693 \| good	36.541 \| good	1.055 \| good	1.029 \| good	0.147 \| good
2025-10-19T15:00:00.000Z	33 \| good	5.274 \| good	22.785 \| good	36.365 \| good	1.047 \| good	1.015 \| good	0.144 \| good
2025-10-19T16:00:00.000Z	36 \| good	4.475 \| good	19.423 \| good	38.772 \| good	0.913 \| good	1.01 \| good	0.14 \| good
2025-10-19T17:00:00.000Z	41 \| good	2.707 \| good	11 \| good	44.199 \| good	0.778 \| good	1.006 \| good	0.137 \| good
2025-10-19T18:00:00.000Z	43 \| good	2.546 \| good	10.577 \| good	45.541 \| good	0.644 \| good	1.002 \| good	0.133 \| good
2025-10-19T20:00:00.000Z	43 \| good	1.304 \| good	5 \| good	45.721 \| good	0.475 \| good	1.137 \| good	0.131 \| good
2025-10-19T21:00:00.000Z	40 \| good	1.913 \| good	7.739 \| good	43.079 \| good	0.391 \| good	1.204 \| good	0.13 \| good
2025-10-19T22:00:00.000Z	38 \| good	2.765 \| good	11.31 \| good	41.078 \| good	0.484 \| good	1.314 \| good	0.129 \| good
2025-10-19T23:00:00.000Z	38 \| good	4.714 \| good	20.316 \| good	41 \| good	0.578 \| good	1.423 \| good	0.127 \| good
2025-10-20T00:00:00.000Z	34 \| good	4.077 \| good	17.887 \| good	37.055 \| good	0.672 \| good	1.533 \| good	0.126 \| good
2025-10-20T01:00:00.000Z	34 \| good	3.447 \| good	14.82 \| good	36.828 \| good	0.737 \| good	1.447 \| good	0.118 \| good
2025-10-20T02:00:00.000Z	33 \| good	3.342 \| good	14.739 \| good	36.216 \| good	0.803 \| good	1.361 \| good	0.111 \| good
2025-10-20T03:00:00.000Z	33 \| good	2.787 \| good	11.571 \| good	35.793 \| good	0.868 \| good	1.276 \| good	0.103 \| good
2025-10-20T04:00:00.000Z	33 \| good	3.793 \| good	16.577 \| good	36.228 \| good	0.913 \| good	1.295 \| good	0.104 \| good
2025-10-20T05:00:00.000Z	33 \| good	4.503 \| good	19.792 \| good	35.708 \| good	0.958 \| good	1.315 \| good	0.105 \| good
2025-10-20T06:00:00.000Z	32 \| good	4.024 \| good	17.933 \| good	34.755 \| good	1.002 \| good	1.334 \| good	0.106 \| good
2025-10-20T07:00:00.000Z	30 \| good	4.793 \| good	20.739 \| good	32.282 \| good	1.289 \| good	1.343 \| good	0.107 \| good
2025-10-20T08:00:00.000Z	28 \| good	4.719 \| good	20.264 \| good	29.723 \| good	1.576 \| good	1.353 \| good	0.109 \| good
2025-10-20T09:00:00.000Z	27 \| good	5.019 \| good	21.841 \| good	27.124 \| good	1.863 \| good	1.362 \| good	0.11 \| good
2025-10-20T10:00:00.000Z	27 \| good	4.632 \| good	20.197 \| good	21.146 \| good	1.939 \| good	1.623 \| good	0.113 \| good
2025-10-20T11:00:00.000Z	22 \| good	4.048 \| good	17.625 \| good	19.242 \| good	2.015 \| good	1.885 \| good	0.116 \| good
2025-10-20T12:00:00.000Z	27 \| good	5.01 \| good	21.679 \| good	25.864 \| good	1.735 \| good	1.964 \| good	0.13 \| good
2025-10-20T13:00:00.000Z	27 \| good	4.64 \| good	20.154 \| good	28.683 \| good	1.939 \| good	1.746 \| good	0.131 \| good
2025-10-20T14:00:00.000Z	30 \| good	4.239 \| good	18.644 \| good	31.613 \| good	2.143 \| good	1.528 \| good	0.132 \| good
2025-10-20T15:00:00.000Z	31 \| good	3.678 \| good	16.067 \| good	33.621 \| good	2.347 \| good	1.311 \| good	0.133 \| good
2025-10-20T16:00:00.000Z	32 \| good	2.848 \| good	11.933 \| good	34.799 \| good	2.058 \| good	1.043 \| good	0.13 \| good
2025-10-20T17:00:00.000Z	33 \| good	2.777 \| good	11.215 \| good	35.588 \| good	1.77 \| good	0.776 \| good	0.126 \| good
2025-10-20T18:00:00.000Z	32 \| good	3.506 \| good	15.51 \| good	35.327 \| good	1.482 \| good	0.509 \| good	0.122 \| good
2025-10-20T19:00:00.000Z	33 \| good	3.433 \| good	14.954 \| good	35.56 \| good	1.348 \| good	0.507 \| good	0.12 \| good
2025-10-20T20:00:00.000Z	32 \| good	2.76 \| good	11.215 \| good	34.875 \| good	1.215 \| good	0.506 \| good	0.118 \| good
2025-10-20T21:00:00.000Z	32 \| good	2.57 \| good	10.215 \| good	34.861 \| good	1.082 \| good	0.504 \| good	0.116 \| good
2025-10-20T22:00:00.000Z	28 \| good	2.844 \| good	11.941 \| good	30.444 \| good	1.053 \| good	2.285 \| good	0.134 \| good
2025-10-20T23:00:00.000Z	22 \| good	3.644 \| good	15.746 \| good	24.124 \| good	1.024 \| good	4.065 \| good	0.152 \| good
2025-10-21T00:00:00.000Z	27 \| good	5.17 \| good	22.323 \| good	22.564 \| good	0.996 \| good	5.846 \| good	0.17 \| good
2025-10-21T01:00:00.000Z	27 \| good	5.367 \| good	23.539 \| good	23.065 \| good	1.022 \| good	7.236 \| good	0.196 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.727 \| good	20.531 \| good	21.745 \| good	1.001 \| good	8.122 \| good	0.208 \| good
2025-10-21T03:00:00.000Z	22 \| good	4.111 \| good	17.887 \| good	20.304 \| good	0.98 \| good	9.008 \| good	0.22 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.554 \| good	19.792 \| good	18.915 \| good	0.906 \| good	7.467 \| good	0.203 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.202 \| good	22.531 \| good	15.673 \| good	0.833 \| good	5.926 \| good	0.186 \| good
2025-10-21T06:00:00.000Z	27 \| good	5.049 \| good	21.792 \| good	16.288 \| good	0.759 \| good	4.385 \| good	0.17 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.901 \| good	21.148 \| good	16.09 \| good	0.721 \| good	3.715 \| good	0.16 \| good
2025-10-21T08:00:00.000Z	33 \| good	5.721 \| good	24.746 \| good	15.219 \| good	0.682 \| good	3.046 \| good	0.15 \| good
2025-10-21T09:00:00.000Z	27 \| good	5.215 \| good	22.531 \| good	15.589 \| good	0.644 \| good	2.376 \| good	0.14 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.52 \| good	19.725 \| good	14.214 \| good	0.675 \| good	2.201 \| good	0.136 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.627 \| good	20.102 \| good	15.313 \| good	0.706 \| good	2.027 \| good	0.131 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.627 \| good	20.102 \| good	15.313 \| good	0.706 \| good	2.027 \| good	0.131 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.27 \| good	22.705 \| good	16.906 \| good	0.737 \| good	1.85 \| good	0.127 \| good
2025-10-21T13:00:00.000Z	27 \| good	4.954 \| good	21.522 \| good	24.749 \| good	0.843 \| good	1.644 \| good	0.129 \| good
2025-10-21T14:00:00.000Z	31 \| good	3.614 \| good	15.901 \| good	34.366 \| good	0.95 \| good	1.439 \| good	0.131 \| good
2025-10-21T15:00:00.000Z	37 \| good	3.689 \| good	16.154 \| good	39.697 \| good	1.056 \| good	1.234 \| good	0.133 \| good
2025-10-21T16:00:00.000Z	40 \| good	3.816 \| good	16.572 \| good	42.547 \| good	1.022 \| good	0.989 \| good	0.133 \| good
2025-10-21T17:00:00.000Z	40 \| good	4.496 \| good	19.708 \| good	42.637 \| good	0.989 \| good	0.744 \| good	0.133 \| good
2025-10-21T18:00:00.000Z	38 \| good	5.426 \| good	23.439 \| good	41.2 \| good	0.955 \| good	0.499 \| good	0.134 \| good
2025-10-21T19:00:00.000Z	37 \| good	4.71 \| good	20.53 \| good	39.78 \| good	0.895 \| good	0.516 \| good	0.134 \| good
2025-10-21T20:00:00.000Z	37 \| good	4.087 \| good	17.901 \| good	40.476 \| good	0.835 \| good	0.534 \| good	0.134 \| good
2025-10-21T21:00:00.000Z	37 \| good	4.994 \| good	21.545 \| good	40.419 \| good	0.774 \| good	0.552 \| good	0.134 \| good
2025-10-21T22:00:00.000Z	36 \| good	5.195 \| good	22.539 \| good	38.979 \| good	0.791 \| good	0.879 \| good	0.133 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.135 \| good	27.262 \| good	35.976 \| good	0.807 \| good	1.206 \| good	0.132 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.745 \| good	30.115 \| good	31.128 \| good	0.824 \| good	1.534 \| good	0.131 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.489 \| good	32.954 \| good	29.884 \| good	1.002 \| good	1.448 \| good	0.127 \| good
2025-10-22T02:00:00.000Z	38 \| good	7.308 \| good	32.264 \| good	28.918 \| good	1.18 \| good	1.363 \| good	0.123 \| good
2025-10-22T03:00:00.000Z	33 \| good	6.155 \| good	27.223 \| good	29.597 \| good	1.359 \| good	1.278 \| good	0.119 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.406 \| good	23.153 \| good	28.84 \| good	1.24 \| good	1.236 \| good	0.118 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.138 \| good	27.168 \| good	29.061 \| good	1.121 \| good	1.194 \| good	0.117 \| good
2025-10-22T06:00:00.000Z	29 \| good	4.53 \| good	19.922 \| good	31.025 \| good	1.002 \| good	1.152 \| good	0.117 \| good
2025-10-22T07:00:00.000Z	28 \| good	4.538 \| good	19.791 \| good	30.213 \| good	1.103 \| good	1.196 \| good	0.117 \| good
2025-10-22T08:00:00.000Z	27 \| good	5.171 \| good	22.282 \| good	28.372 \| good	1.205 \| good	1.241 \| good	0.117 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.59 \| good	19.778 \| good	29.05 \| good	1.306 \| good	1.286 \| good	0.117 \| good
2025-10-22T10:00:00.000Z	27 \| good	3.732 \| good	16.201 \| good	28.559 \| good	1.389 \| good	1.397 \| good	0.117 \| good
2025-10-22T11:00:00.000Z	28 \| good	3.249 \| good	14.449 \| good	30.148 \| good	1.473 \| good	1.509 \| good	0.117 \| good
2025-10-22T12:00:00.000Z	29 \| good	3.979 \| good	17.484 \| good	30.708 \| good	1.557 \| good	1.621 \| good	0.117 \| good
2025-10-22T13:00:00.000Z	31 \| good	3.127 \| good	13.356 \| good	32.73 \| good	1.498 \| good	1.395 \| good	0.117 \| good
2025-10-22T14:00:00.000Z	31 \| good	2.183 \| good	8.917 \| good	33.222 \| good	1.439 \| good	1.17 \| good	0.117 \| good
2025-10-22T15:00:00.000Z	31 \| good	2.204 \| good	9 \| good	33.857 \| good	1.38 \| good	0.945 \| good	0.117 \| good
2025-10-22T16:00:00.000Z	33 \| good	1.901 \| good	8 \| good	35.774 \| good	1.185 \| good	0.784 \| good	0.113 \| good
2025-10-22T17:00:00.000Z	35 \| good	2.617 \| good	10.577 \| good	38.448 \| good	0.991 \| good	0.623 \| good	0.11 \| good
2025-10-22T18:00:00.000Z	37 \| good	3.558 \| good	15.721 \| good	40.399 \| good	0.796 \| good	0.462 \| good	0.106 \| good
2025-10-22T19:00:00.000Z	38 \| good	2.819 \| good	11.53 \| good	40.673 \| good	0.81 \| good	0.486 \| good	0.106 \| good
2025-10-22T20:00:00.000Z	38 \| good	2.222 \| good	9.147 \| good	40.741 \| good	0.825 \| good	0.509 \| good	0.106 \| good
2025-10-22T21:00:00.000Z	36 \| good	2.418 \| good	9.945 \| good	39.029 \| good	0.839 \| good	0.532 \| good	0.106 \| good
2025-10-22T22:00:00.000Z	35 \| good	2.276 \| good	9.185 \| good	37.914 \| good	0.917 \| good	0.823 \| good	0.109 \| good
2025-10-22T23:00:00.000Z	32 \| good	2.636 \| good	10.855 \| good	34.748 \| good	0.996 \| good	1.114 \| good	0.112 \| good
2025-10-23T00:00:00.000Z	31 \| good	3.937 \| good	17.484 \| good	34.085 \| good	1.074 \| good	1.406 \| good	0.114 \| good
2025-10-23T01:00:00.000Z	31 \| good	5.447 \| good	23.921 \| good	32.503 \| good	1.191 \| good	1.405 \| good	0.114 \| good
2025-10-23T02:00:00.000Z	30 \| good	5.069 \| good	21.776 \| good	31.972 \| good	1.308 \| good	1.405 \| good	0.114 \| good
2025-10-23T03:00:00.000Z	29 \| good	4.752 \| good	20.494 \| good	30.927 \| good	1.425 \| good	1.405 \| good	0.114 \| good
2025-10-23T04:00:00.000Z	29 \| good	4.676 \| good	20.439 \| good	31.256 \| good	1.514 \| good	1.4 \| good	0.114 \| good
2025-10-23T05:00:00.000Z	29 \| good	5.494 \| good	23.74 \| good	30.518 \| good	1.604 \| good	1.395 \| good	0.113 \| good
2025-10-23T06:00:00.000Z	34 \| good	2.857 \| good	2.934 \| good	36.525 \| good	1.668 \| good	1.377 \| good	0.113 \| good
2025-10-23T07:00:00.000Z	27 \| good	4.483 \| good	19.539 \| good	29.067 \| good	1.784 \| good	1.428 \| good	0.114 \| good
2025-10-23T08:00:00.000Z	27 \| good	4.957 \| good	21.494 \| good	26.349 \| good	1.875 \| good	1.465 \| good	0.115 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.515 \| good	19.539 \| good	25.751 \| good	1.965 \| good	1.502 \| good	0.115 \| good
2025-10-23T10:00:00.000Z	22 \| good	4.429 \| good	19.201 \| good	21.881 \| good	2.031 \| good	1.745 \| good	0.118 \| good
2025-10-23T11:00:00.000Z	27 \| good	4.628 \| good	19.99 \| good	20.087 \| good	2.097 \| good	1.989 \| good	0.12 \| good

Beckley, West Virginia live air quality index now

Major air pollutants in Beckley, West Virginia

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Beckley, West Virginia air quality map: Track AQI near you

Air quality in nearby cities

Charleston, West Virginia

South Charleston, West Virginia

St. Albans, West Virginia

Cross Lanes, West Virginia

Radford, Virginia

Blacksburg, Virginia

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Frequently asked questions

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What is the current concentration of PM2.5 in Beckley, West Virginia?

What is the current concentration of PM10 in Beckley, West Virginia?

What is the current concentration of carbon monoxide (CO) in Beckley, West Virginia?

What is the current concentration of sulfur dioxide (SO2) in Beckley, West Virginia?

What is the current concentration of ozone (O3) in Beckley, West Virginia?

What is the current concentration of nitrogen dioxide (NO2) in Beckley, West Virginia?

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 Beckley, West Virginia?

What is the current concentration of PM₁₀ in Beckley, West Virginia?

What is the current concentration of sulfur dioxide (SO₂) in Beckley, West Virginia?

What is the current concentration of ozone (O₃) in Beckley, West Virginia?

What is the current concentration of nitrogen dioxide (NO₂) in Beckley, West Virginia?