What is the PM10 level in Beavercreek, Ohio at the moment?

The PM10 concentration in Beavercreek, Ohio is 12.149 μg/m3 at the moment.

What is the sulfur dioxide (SO2) level in Beavercreek, Ohio at the moment?

Currently, Beavercreek, Ohio has a sulfur dioxide (SO2) concentration of 2.557 ppb.

What is the ozone (O3) level in Beavercreek, Ohio at the moment?

The current ozone (O3) level in Beavercreek, Ohio at the moment is 34.339 ppm.

What is the nitrogen dioxide (NO2) level in Beavercreek, Ohio at the moment?

Nitrogen dioxide (NO2) level in Beavercreek, Ohio at the moment is 4.738 ppb.

Live air quality index in Beavercreek, Ohio today

Name: Live air pollution levels in Beavercreek, Ohio today
Creator: Ambee

Stay updated with real-time air quality in Beavercreek, Ohio 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

Beavercreek, Ohio

Last updated: ... (Local time)

Major air pollutants in Beavercreek, Ohio

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.14 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.15 μg/m³

155

255

425

605+

Ozone (O₃)

34.34 ppb

201

201+

Sulfur Dioxide (SO₂)

2.56 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.74 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Beavercreek, Ohio

Get Live Pollen Counts

Beavercreek, Ohio

Scroll To Air Quality Map

Track live Beavercreek, Ohio air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	23 \| good	2.387 \| good	9.566 \| good	25.473 \| good	1.347 \| good	2.948 \| good	0.156 \| good
2025-10-19T22:00:00.000Z	22 \| good	1.738 \| good	5.684 \| good	23.801 \| good	1.346 \| good	2.648 \| good	0.156 \| good
2025-10-19T23:00:00.000Z	22 \| good	1.865 \| good	6.536 \| good	24.012 \| good	1.487 \| good	2.981 \| good	0.156 \| good
2025-10-20T00:00:00.000Z	24 \| good	2.84 \| good	10.958 \| good	26.124 \| good	1.345 \| good	2.817 \| good	0.157 \| good
2025-10-20T01:00:00.000Z	24 \| good	3.025 \| good	9.328 \| good	26.443 \| good	1.347 \| good	5.207 \| good	0.178 \| good
2025-10-20T02:00:00.000Z	25 \| good	3.159 \| good	10.523 \| good	26.979 \| good	1.331 \| good	8.169 \| good	0.188 \| good
2025-10-20T03:00:00.000Z	23 \| good	2.663 \| good	9.572 \| good	25.271 \| good	1.35 \| good	8.354 \| good	0.122 \| good
2025-10-20T04:00:00.000Z	23 \| good	3.543 \| good	8.149 \| good	25.205 \| good	1.348 \| good	8.991 \| good	0.139 \| good
2025-10-20T05:00:00.000Z	22 \| good	3.654 \| good	10.021 \| good	22.372 \| good	1.365 \| good	8.075 \| good	0.156 \| good
2025-10-20T06:00:00.000Z	22 \| good	3.699 \| good	11.512 \| good	18.198 \| good	1.417 \| good	7.274 \| good	0.157 \| good
2025-10-20T07:00:00.000Z	16 \| good	3.233 \| good	11.982 \| good	16.7 \| good	1.439 \| good	7.889 \| good	0.157 \| good
2025-10-20T08:00:00.000Z	16 \| good	3.422 \| good	10.825 \| good	15.252 \| good	1.414 \| good	7.965 \| good	0.131 \| good
2025-10-20T09:00:00.000Z	16 \| good	3.301 \| good	13.536 \| good	16.417 \| good	1.395 \| good	8.756 \| good	0.157 \| good
2025-10-20T10:00:00.000Z	16 \| good	3.182 \| good	11.776 \| good	15.486 \| good	1.412 \| good	8.588 \| good	0.167 \| good
2025-10-20T11:00:00.000Z	16 \| good	3.456 \| good	14.464 \| good	15.895 \| good	1.683 \| good	10.316 \| good	0.242 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.503 \| good	13.564 \| good	12.591 \| good	1.375 \| good	14.192 \| good	0.346 \| good
2025-10-20T13:00:00.000Z	16 \| good	3.39 \| good	12.767 \| good	13.051 \| good	1.365 \| good	14.942 \| good	0.28 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.078 \| good	18.917 \| good	11.949 \| good	1.348 \| good	14.203 \| good	0.28 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.003 \| good	17.273 \| good	12.599 \| good	1.357 \| good	11.722 \| good	0.207 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.958 \| good	16.826 \| good	12.943 \| good	1.377 \| good	11.275 \| good	0.198 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.724 \| good	14.793 \| good	15.032 \| good	2.04 \| good	10.614 \| good	0.173 \| good
2025-10-20T18:00:00.000Z	22 \| good	3.767 \| good	16.932 \| good	22.626 \| good	2.102 \| good	7.345 \| good	0.145 \| good
2025-10-20T19:00:00.000Z	24 \| good	3.279 \| good	14.814 \| good	26.317 \| good	1.785 \| good	4.423 \| good	0.122 \| good
2025-10-20T20:00:00.000Z	26 \| good	2.639 \| good	13.183 \| good	28.203 \| good	3.074 \| good	5.075 \| good	0.168 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.688 \| good	13.009 \| good	31.641 \| good	2.24 \| good	4.995 \| good	0.141 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.705 \| good	11.4 \| good	31.319 \| good	2.034 \| good	5.605 \| good	0.165 \| good
2025-10-20T23:00:00.000Z	30 \| good	3.092 \| good	14.222 \| good	31.814 \| good	1.855 \| good	6.571 \| good	0.142 \| good
2025-10-21T00:00:00.000Z	27 \| good	2.611 \| good	11.517 \| good	29.11 \| good	1.778 \| good	9.626 \| good	0.203 \| good
2025-10-21T01:00:00.000Z	23 \| good	2.671 \| good	15.162 \| good	24.925 \| good	1.575 \| good	18.474 \| good	0.253 \| good
2025-10-21T02:00:00.000Z	20 \| good	2.34 \| good	9.964 \| good	21.906 \| good	1.152 \| good	18.735 \| good	0.253 \| good
2025-10-21T03:00:00.000Z	27 \| good	4.975 \| good	21.17 \| good	28.124 \| good	3.607 \| good	4.244 \| good	0.163 \| good
2025-10-21T04:00:00.000Z	21 \| good	2.157 \| good	9.207 \| good	23.116 \| good	1.293 \| good	11.497 \| good	0.165 \| good
2025-10-21T05:00:00.000Z	21 \| good	3.261 \| good	12.686 \| good	23.036 \| good	1.302 \| good	12.064 \| good	0.167 \| good
2025-10-21T06:00:00.000Z	21 \| good	2.853 \| good	13.044 \| good	23.03 \| good	1.139 \| good	10.077 \| good	0.153 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.764 \| good	17.001 \| good	24.465 \| good	1.197 \| good	10.833 \| good	0.145 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.271 \| good	11.128 \| good	23.523 \| good	1.179 \| good	11.22 \| good	0.17 \| good
2025-10-21T09:00:00.000Z	21 \| good	3.157 \| good	10.154 \| good	23.207 \| good	1.359 \| good	9.034 \| good	0.156 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.718 \| good	12.556 \| good	22.374 \| good	1.65 \| good	5.454 \| good	0.158 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.466 \| good	17.644 \| good	22.477 \| good	1.674 \| good	7.115 \| good	0.156 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.731 \| good	11.649 \| good	22.436 \| good	2.046 \| good	10.734 \| good	0.229 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.021 \| good	17.173 \| good	21.885 \| good	1.768 \| good	14.841 \| good	0.249 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.187 \| good	20.364 \| good	20.821 \| good	1.478 \| good	16.562 \| good	0.253 \| good
2025-10-21T15:00:00.000Z	22 \| good	4.402 \| good	16.691 \| good	23.566 \| good	1.763 \| good	13.042 \| good	0.23 \| good
2025-10-21T16:00:00.000Z	25 \| good	3.921 \| good	14.963 \| good	27.326 \| good	1.684 \| good	9.154 \| good	0.184 \| good
2025-10-21T17:00:00.000Z	27 \| good	3.759 \| good	13.832 \| good	29.333 \| good	1.667 \| good	3.818 \| good	0.184 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.489 \| good	13.631 \| good	30.444 \| good	1.812 \| good	4.117 \| good	0.139 \| good
2025-10-21T19:00:00.000Z	30 \| good	3.519 \| good	14.162 \| good	31.732 \| good	2.263 \| good	3.579 \| good	0.148 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.144 \| good	12.149 \| good	34.339 \| good	2.557 \| good	4.738 \| good	0.168 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.144 \| good	12.149 \| good	34.339 \| good	2.557 \| good	4.738 \| good	0.168 \| good
2025-10-21T21:00:00.000Z	39 \| good	2.334 \| good	9.901 \| good	42.355 \| good	1.065 \| good	1.359 \| good	0.127 \| good
2025-10-21T22:00:00.000Z	34 \| good	1.467 \| good	5.976 \| good	36.962 \| good	1.085 \| good	1.787 \| good	0.13 \| good
2025-10-21T23:00:00.000Z	31 \| good	0.408 \| good	1.322 \| good	33.911 \| good	1.105 \| good	2.215 \| good	0.133 \| good
2025-10-22T00:00:00.000Z	32 \| good	1.689 \| good	6.846 \| good	34.825 \| good	1.125 \| good	2.643 \| good	0.136 \| good
2025-10-22T01:00:00.000Z	27 \| good	2.684 \| good	11.098 \| good	29.156 \| good	0.998 \| good	2.673 \| good	0.135 \| good
2025-10-22T02:00:00.000Z	26 \| good	1.728 \| good	7.079 \| good	28.177 \| good	0.872 \| good	2.703 \| good	0.134 \| good
2025-10-22T03:00:00.000Z	23 \| good	2.116 \| good	8.352 \| good	25.409 \| good	0.745 \| good	2.733 \| good	0.133 \| good
2025-10-22T04:00:00.000Z	22 \| good	2.323 \| good	9.341 \| good	24.163 \| good	0.693 \| good	2.56 \| good	0.132 \| good
2025-10-22T05:00:00.000Z	24 \| good	2.786 \| good	11.178 \| good	25.694 \| good	0.641 \| good	2.387 \| good	0.131 \| good
2025-10-22T06:00:00.000Z	24 \| good	1.618 \| good	6.88 \| good	25.788 \| good	0.588 \| good	2.215 \| good	0.13 \| good
2025-10-22T07:00:00.000Z	26 \| good	1.261 \| good	5.028 \| good	27.655 \| good	0.563 \| good	2.196 \| good	0.13 \| good
2025-10-22T08:00:00.000Z	25 \| good	0.642 \| good	2.247 \| good	27.169 \| good	0.538 \| good	2.178 \| good	0.129 \| good
2025-10-22T09:00:00.000Z	23 \| good	1.135 \| good	4.835 \| good	25.151 \| good	0.513 \| good	2.16 \| good	0.129 \| good
2025-10-22T10:00:00.000Z	22 \| good	1.196 \| good	4.807 \| good	24.217 \| good	0.543 \| good	2.417 \| good	0.13 \| good
2025-10-22T11:00:00.000Z	22 \| good	2.259 \| good	9.05 \| good	23.779 \| good	0.574 \| good	2.674 \| good	0.13 \| good
2025-10-22T12:00:00.000Z	22 \| good	1.745 \| good	6.901 \| good	23.766 \| good	0.605 \| good	2.93 \| good	0.131 \| good
2025-10-22T13:00:00.000Z	23 \| good	1.155 \| good	5 \| good	25.472 \| good	0.544 \| good	2.598 \| good	0.129 \| good
2025-10-22T14:00:00.000Z	22 \| good	1.38 \| good	5.219 \| good	23.833 \| good	0.483 \| good	2.266 \| good	0.127 \| good
2025-10-22T15:00:00.000Z	21 \| good	2.107 \| good	8.776 \| good	22.863 \| good	0.422 \| good	1.934 \| good	0.125 \| good
2025-10-22T16:00:00.000Z	20 \| good	1.931 \| good	7.852 \| good	22.245 \| good	0.369 \| good	1.768 \| good	0.125 \| good
2025-10-22T17:00:00.000Z	23 \| good	2.512 \| good	10.024 \| good	24.891 \| good	0.316 \| good	1.603 \| good	0.125 \| good
2025-10-22T18:00:00.000Z	22 \| good	2.384 \| good	9.929 \| good	24.24 \| good	0.263 \| good	1.437 \| good	0.126 \| good
2025-10-22T19:00:00.000Z	24 \| good	1.889 \| good	8 \| good	26.209 \| good	0.294 \| good	1.589 \| good	0.128 \| good
2025-10-22T20:00:00.000Z	27 \| good	1.787 \| good	7.142 \| good	29.468 \| good	0.325 \| good	1.741 \| good	0.129 \| good
2025-10-22T21:00:00.000Z	30 \| good	2.686 \| good	11.099 \| good	31.884 \| good	0.355 \| good	1.892 \| good	0.131 \| good
2025-10-22T22:00:00.000Z	28 \| good	2.939 \| good	12.12 \| good	30.037 \| good	0.385 \| good	2.382 \| good	0.135 \| good
2025-10-22T23:00:00.000Z	26 \| good	1.637 \| good	6.92 \| good	28.172 \| good	0.415 \| good	2.872 \| good	0.138 \| good
2025-10-23T00:00:00.000Z	27 \| good	3.117 \| good	13.546 \| good	28.614 \| good	0.445 \| good	3.362 \| good	0.142 \| good
2025-10-23T01:00:00.000Z	25 \| good	4.425 \| good	19.069 \| good	26.599 \| good	0.466 \| good	3.355 \| good	0.141 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.744 \| good	24.89 \| good	20.852 \| good	0.487 \| good	3.348 \| good	0.14 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.871 \| good	30.247 \| good	15.031 \| good	0.508 \| good	3.342 \| good	0.139 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.728 \| good	29.985 \| good	12.229 \| good	0.521 \| good	3.237 \| good	0.138 \| good
2025-10-23T05:00:00.000Z	33 \| good	6.413 \| good	28.249 \| good	15.807 \| good	0.534 \| good	3.133 \| good	0.136 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.924 \| good	21.335 \| good	19.977 \| good	0.547 \| good	3.029 \| good	0.135 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.352 \| good	19.133 \| good	21.351 \| good	0.545 \| good	2.901 \| good	0.133 \| good
2025-10-23T08:00:00.000Z	18 \| good	3.114 \| good	12.868 \| good	19.105 \| good	0.543 \| good	2.773 \| good	0.132 \| good
2025-10-23T09:00:00.000Z	16 \| good	2.149 \| good	8.747 \| good	17.07 \| good	0.542 \| good	2.646 \| good	0.13 \| good
2025-10-23T10:00:00.000Z	18 \| good	1.676 \| good	6.63 \| good	18.929 \| good	0.601 \| good	3.243 \| good	0.134 \| good
2025-10-23T11:00:00.000Z	18 \| good	2.967 \| good	12.512 \| good	19.092 \| good	0.661 \| good	3.841 \| good	0.138 \| good
2025-10-23T12:00:00.000Z	18 \| good	1.657 \| good	6.444 \| good	19.317 \| good	0.72 \| good	4.439 \| good	0.141 \| good
2025-10-23T13:00:00.000Z	18 \| good	0.605 \| good	2.18 \| good	18.596 \| good	0.73 \| good	3.872 \| good	0.14 \| good
2025-10-23T14:00:00.000Z	19 \| good	0.356 \| good	1.277 \| good	21.43 \| good	0.741 \| good	3.305 \| good	0.14 \| good
2025-10-23T15:00:00.000Z	24 \| good	0.262 \| good	0.994 \| good	25.58 \| good	0.751 \| good	2.738 \| good	0.139 \| good
2025-10-23T16:00:00.000Z	29 \| good	0.396 \| good	1.69 \| good	31.084 \| good	0.67 \| good	2.24 \| good	0.134 \| good
2025-10-23T17:00:00.000Z	32 \| good	0.306 \| good	0.994 \| good	35.37 \| good	0.59 \| good	1.742 \| good	0.128 \| good
2025-10-23T18:00:00.000Z	32 \| good	0.292 \| good	0.994 \| good	34.981 \| good	0.51 \| good	1.244 \| good	0.123 \| good
2025-10-23T19:00:00.000Z	32 \| good	0.419 \| good	1.346 \| good	34.637 \| good	0.516 \| good	1.261 \| good	0.123 \| good
2025-10-23T20:00:00.000Z	34 \| good	0.336 \| good	1.154 \| good	37.32 \| good	0.523 \| good	1.277 \| good	0.124 \| good

Beavercreek

Get reliable air quality data to drive your business

Beavercreek, Ohio air quality map: Stay updated on AQI near you

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How accurate is Ohio, USA air quality data?

Air quality and pollutant data for Ohio, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Beavercreek, Ohio?

The air quality information for Beavercreek, Ohio is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Beavercreek, Ohio at its worst?

In the past 24 hours, the air quality in Beavercreek, Ohio was at its worst at 07:00:00 on 2025-10-21.

When did Beavercreek, Ohio experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Beavercreek, Ohio was observed at 02:00:00 on 2025-10-21.

What is the AQI in Beavercreek, Ohio right now?

As of now, the AQI in Beavercreek, Ohio is 31, indicating Good conditions.

What is the most common type of pollution in Beavercreek, Ohio?

Beavercreek, Ohio air has the highest levels of O3.

What should I do in case of poor air quality in Beavercreek, Ohio?

Poor air quality in Beavercreek, Ohio means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Beavercreek, Ohio at the moment?

PM_2.5 levels in Beavercreek, Ohio are currently 3.144 μg/m³.

What is the PM₁₀ level in Beavercreek, Ohio at the moment?

The PM₁₀ concentration in Beavercreek, Ohio is 12.149 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Beavercreek, Ohio at the moment?

The current carbon monoxide (CO) concentration in Beavercreek, Ohio is 0.168 ppm.

What is the sulfur dioxide (SO₂) level in Beavercreek, Ohio at the moment?

Currently, Beavercreek, Ohio has a sulfur dioxide (SO₂) concentration of 2.557 ppb.

What is the ozone (O₃) level in Beavercreek, Ohio at the moment?

The current ozone (O₃) level in Beavercreek, Ohio at the moment is 34.339 ppm.

What is the nitrogen dioxide (NO₂) level in Beavercreek, Ohio at the moment?

Nitrogen dioxide (NO₂) level in Beavercreek, Ohio at the moment is 4.738 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	23 \| good	2.387 \| good	9.566 \| good	25.473 \| good	1.347 \| good	2.948 \| good	0.156 \| good
2025-10-19T22:00:00.000Z	22 \| good	1.738 \| good	5.684 \| good	23.801 \| good	1.346 \| good	2.648 \| good	0.156 \| good
2025-10-19T23:00:00.000Z	22 \| good	1.865 \| good	6.536 \| good	24.012 \| good	1.487 \| good	2.981 \| good	0.156 \| good
2025-10-20T00:00:00.000Z	24 \| good	2.84 \| good	10.958 \| good	26.124 \| good	1.345 \| good	2.817 \| good	0.157 \| good
2025-10-20T01:00:00.000Z	24 \| good	3.025 \| good	9.328 \| good	26.443 \| good	1.347 \| good	5.207 \| good	0.178 \| good
2025-10-20T02:00:00.000Z	25 \| good	3.159 \| good	10.523 \| good	26.979 \| good	1.331 \| good	8.169 \| good	0.188 \| good
2025-10-20T03:00:00.000Z	23 \| good	2.663 \| good	9.572 \| good	25.271 \| good	1.35 \| good	8.354 \| good	0.122 \| good
2025-10-20T04:00:00.000Z	23 \| good	3.543 \| good	8.149 \| good	25.205 \| good	1.348 \| good	8.991 \| good	0.139 \| good
2025-10-20T05:00:00.000Z	22 \| good	3.654 \| good	10.021 \| good	22.372 \| good	1.365 \| good	8.075 \| good	0.156 \| good
2025-10-20T06:00:00.000Z	22 \| good	3.699 \| good	11.512 \| good	18.198 \| good	1.417 \| good	7.274 \| good	0.157 \| good
2025-10-20T07:00:00.000Z	16 \| good	3.233 \| good	11.982 \| good	16.7 \| good	1.439 \| good	7.889 \| good	0.157 \| good
2025-10-20T08:00:00.000Z	16 \| good	3.422 \| good	10.825 \| good	15.252 \| good	1.414 \| good	7.965 \| good	0.131 \| good
2025-10-20T09:00:00.000Z	16 \| good	3.301 \| good	13.536 \| good	16.417 \| good	1.395 \| good	8.756 \| good	0.157 \| good
2025-10-20T10:00:00.000Z	16 \| good	3.182 \| good	11.776 \| good	15.486 \| good	1.412 \| good	8.588 \| good	0.167 \| good
2025-10-20T11:00:00.000Z	16 \| good	3.456 \| good	14.464 \| good	15.895 \| good	1.683 \| good	10.316 \| good	0.242 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.503 \| good	13.564 \| good	12.591 \| good	1.375 \| good	14.192 \| good	0.346 \| good
2025-10-20T13:00:00.000Z	16 \| good	3.39 \| good	12.767 \| good	13.051 \| good	1.365 \| good	14.942 \| good	0.28 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.078 \| good	18.917 \| good	11.949 \| good	1.348 \| good	14.203 \| good	0.28 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.003 \| good	17.273 \| good	12.599 \| good	1.357 \| good	11.722 \| good	0.207 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.958 \| good	16.826 \| good	12.943 \| good	1.377 \| good	11.275 \| good	0.198 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.724 \| good	14.793 \| good	15.032 \| good	2.04 \| good	10.614 \| good	0.173 \| good
2025-10-20T18:00:00.000Z	22 \| good	3.767 \| good	16.932 \| good	22.626 \| good	2.102 \| good	7.345 \| good	0.145 \| good
2025-10-20T19:00:00.000Z	24 \| good	3.279 \| good	14.814 \| good	26.317 \| good	1.785 \| good	4.423 \| good	0.122 \| good
2025-10-20T20:00:00.000Z	26 \| good	2.639 \| good	13.183 \| good	28.203 \| good	3.074 \| good	5.075 \| good	0.168 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.688 \| good	13.009 \| good	31.641 \| good	2.24 \| good	4.995 \| good	0.141 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.705 \| good	11.4 \| good	31.319 \| good	2.034 \| good	5.605 \| good	0.165 \| good
2025-10-20T23:00:00.000Z	30 \| good	3.092 \| good	14.222 \| good	31.814 \| good	1.855 \| good	6.571 \| good	0.142 \| good
2025-10-21T00:00:00.000Z	27 \| good	2.611 \| good	11.517 \| good	29.11 \| good	1.778 \| good	9.626 \| good	0.203 \| good
2025-10-21T01:00:00.000Z	23 \| good	2.671 \| good	15.162 \| good	24.925 \| good	1.575 \| good	18.474 \| good	0.253 \| good
2025-10-21T02:00:00.000Z	20 \| good	2.34 \| good	9.964 \| good	21.906 \| good	1.152 \| good	18.735 \| good	0.253 \| good
2025-10-21T03:00:00.000Z	27 \| good	4.975 \| good	21.17 \| good	28.124 \| good	3.607 \| good	4.244 \| good	0.163 \| good
2025-10-21T04:00:00.000Z	21 \| good	2.157 \| good	9.207 \| good	23.116 \| good	1.293 \| good	11.497 \| good	0.165 \| good
2025-10-21T05:00:00.000Z	21 \| good	3.261 \| good	12.686 \| good	23.036 \| good	1.302 \| good	12.064 \| good	0.167 \| good
2025-10-21T06:00:00.000Z	21 \| good	2.853 \| good	13.044 \| good	23.03 \| good	1.139 \| good	10.077 \| good	0.153 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.764 \| good	17.001 \| good	24.465 \| good	1.197 \| good	10.833 \| good	0.145 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.271 \| good	11.128 \| good	23.523 \| good	1.179 \| good	11.22 \| good	0.17 \| good
2025-10-21T09:00:00.000Z	21 \| good	3.157 \| good	10.154 \| good	23.207 \| good	1.359 \| good	9.034 \| good	0.156 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.718 \| good	12.556 \| good	22.374 \| good	1.65 \| good	5.454 \| good	0.158 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.466 \| good	17.644 \| good	22.477 \| good	1.674 \| good	7.115 \| good	0.156 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.731 \| good	11.649 \| good	22.436 \| good	2.046 \| good	10.734 \| good	0.229 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.021 \| good	17.173 \| good	21.885 \| good	1.768 \| good	14.841 \| good	0.249 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.187 \| good	20.364 \| good	20.821 \| good	1.478 \| good	16.562 \| good	0.253 \| good
2025-10-21T15:00:00.000Z	22 \| good	4.402 \| good	16.691 \| good	23.566 \| good	1.763 \| good	13.042 \| good	0.23 \| good
2025-10-21T16:00:00.000Z	25 \| good	3.921 \| good	14.963 \| good	27.326 \| good	1.684 \| good	9.154 \| good	0.184 \| good
2025-10-21T17:00:00.000Z	27 \| good	3.759 \| good	13.832 \| good	29.333 \| good	1.667 \| good	3.818 \| good	0.184 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.489 \| good	13.631 \| good	30.444 \| good	1.812 \| good	4.117 \| good	0.139 \| good
2025-10-21T19:00:00.000Z	30 \| good	3.519 \| good	14.162 \| good	31.732 \| good	2.263 \| good	3.579 \| good	0.148 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.144 \| good	12.149 \| good	34.339 \| good	2.557 \| good	4.738 \| good	0.168 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.144 \| good	12.149 \| good	34.339 \| good	2.557 \| good	4.738 \| good	0.168 \| good
2025-10-21T21:00:00.000Z	39 \| good	2.334 \| good	9.901 \| good	42.355 \| good	1.065 \| good	1.359 \| good	0.127 \| good
2025-10-21T22:00:00.000Z	34 \| good	1.467 \| good	5.976 \| good	36.962 \| good	1.085 \| good	1.787 \| good	0.13 \| good
2025-10-21T23:00:00.000Z	31 \| good	0.408 \| good	1.322 \| good	33.911 \| good	1.105 \| good	2.215 \| good	0.133 \| good
2025-10-22T00:00:00.000Z	32 \| good	1.689 \| good	6.846 \| good	34.825 \| good	1.125 \| good	2.643 \| good	0.136 \| good
2025-10-22T01:00:00.000Z	27 \| good	2.684 \| good	11.098 \| good	29.156 \| good	0.998 \| good	2.673 \| good	0.135 \| good
2025-10-22T02:00:00.000Z	26 \| good	1.728 \| good	7.079 \| good	28.177 \| good	0.872 \| good	2.703 \| good	0.134 \| good
2025-10-22T03:00:00.000Z	23 \| good	2.116 \| good	8.352 \| good	25.409 \| good	0.745 \| good	2.733 \| good	0.133 \| good
2025-10-22T04:00:00.000Z	22 \| good	2.323 \| good	9.341 \| good	24.163 \| good	0.693 \| good	2.56 \| good	0.132 \| good
2025-10-22T05:00:00.000Z	24 \| good	2.786 \| good	11.178 \| good	25.694 \| good	0.641 \| good	2.387 \| good	0.131 \| good
2025-10-22T06:00:00.000Z	24 \| good	1.618 \| good	6.88 \| good	25.788 \| good	0.588 \| good	2.215 \| good	0.13 \| good
2025-10-22T07:00:00.000Z	26 \| good	1.261 \| good	5.028 \| good	27.655 \| good	0.563 \| good	2.196 \| good	0.13 \| good
2025-10-22T08:00:00.000Z	25 \| good	0.642 \| good	2.247 \| good	27.169 \| good	0.538 \| good	2.178 \| good	0.129 \| good
2025-10-22T09:00:00.000Z	23 \| good	1.135 \| good	4.835 \| good	25.151 \| good	0.513 \| good	2.16 \| good	0.129 \| good
2025-10-22T10:00:00.000Z	22 \| good	1.196 \| good	4.807 \| good	24.217 \| good	0.543 \| good	2.417 \| good	0.13 \| good
2025-10-22T11:00:00.000Z	22 \| good	2.259 \| good	9.05 \| good	23.779 \| good	0.574 \| good	2.674 \| good	0.13 \| good
2025-10-22T12:00:00.000Z	22 \| good	1.745 \| good	6.901 \| good	23.766 \| good	0.605 \| good	2.93 \| good	0.131 \| good
2025-10-22T13:00:00.000Z	23 \| good	1.155 \| good	5 \| good	25.472 \| good	0.544 \| good	2.598 \| good	0.129 \| good
2025-10-22T14:00:00.000Z	22 \| good	1.38 \| good	5.219 \| good	23.833 \| good	0.483 \| good	2.266 \| good	0.127 \| good
2025-10-22T15:00:00.000Z	21 \| good	2.107 \| good	8.776 \| good	22.863 \| good	0.422 \| good	1.934 \| good	0.125 \| good
2025-10-22T16:00:00.000Z	20 \| good	1.931 \| good	7.852 \| good	22.245 \| good	0.369 \| good	1.768 \| good	0.125 \| good
2025-10-22T17:00:00.000Z	23 \| good	2.512 \| good	10.024 \| good	24.891 \| good	0.316 \| good	1.603 \| good	0.125 \| good
2025-10-22T18:00:00.000Z	22 \| good	2.384 \| good	9.929 \| good	24.24 \| good	0.263 \| good	1.437 \| good	0.126 \| good
2025-10-22T19:00:00.000Z	24 \| good	1.889 \| good	8 \| good	26.209 \| good	0.294 \| good	1.589 \| good	0.128 \| good
2025-10-22T20:00:00.000Z	27 \| good	1.787 \| good	7.142 \| good	29.468 \| good	0.325 \| good	1.741 \| good	0.129 \| good
2025-10-22T21:00:00.000Z	30 \| good	2.686 \| good	11.099 \| good	31.884 \| good	0.355 \| good	1.892 \| good	0.131 \| good
2025-10-22T22:00:00.000Z	28 \| good	2.939 \| good	12.12 \| good	30.037 \| good	0.385 \| good	2.382 \| good	0.135 \| good
2025-10-22T23:00:00.000Z	26 \| good	1.637 \| good	6.92 \| good	28.172 \| good	0.415 \| good	2.872 \| good	0.138 \| good
2025-10-23T00:00:00.000Z	27 \| good	3.117 \| good	13.546 \| good	28.614 \| good	0.445 \| good	3.362 \| good	0.142 \| good
2025-10-23T01:00:00.000Z	25 \| good	4.425 \| good	19.069 \| good	26.599 \| good	0.466 \| good	3.355 \| good	0.141 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.744 \| good	24.89 \| good	20.852 \| good	0.487 \| good	3.348 \| good	0.14 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.871 \| good	30.247 \| good	15.031 \| good	0.508 \| good	3.342 \| good	0.139 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.728 \| good	29.985 \| good	12.229 \| good	0.521 \| good	3.237 \| good	0.138 \| good
2025-10-23T05:00:00.000Z	33 \| good	6.413 \| good	28.249 \| good	15.807 \| good	0.534 \| good	3.133 \| good	0.136 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.924 \| good	21.335 \| good	19.977 \| good	0.547 \| good	3.029 \| good	0.135 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.352 \| good	19.133 \| good	21.351 \| good	0.545 \| good	2.901 \| good	0.133 \| good
2025-10-23T08:00:00.000Z	18 \| good	3.114 \| good	12.868 \| good	19.105 \| good	0.543 \| good	2.773 \| good	0.132 \| good
2025-10-23T09:00:00.000Z	16 \| good	2.149 \| good	8.747 \| good	17.07 \| good	0.542 \| good	2.646 \| good	0.13 \| good
2025-10-23T10:00:00.000Z	18 \| good	1.676 \| good	6.63 \| good	18.929 \| good	0.601 \| good	3.243 \| good	0.134 \| good
2025-10-23T11:00:00.000Z	18 \| good	2.967 \| good	12.512 \| good	19.092 \| good	0.661 \| good	3.841 \| good	0.138 \| good
2025-10-23T12:00:00.000Z	18 \| good	1.657 \| good	6.444 \| good	19.317 \| good	0.72 \| good	4.439 \| good	0.141 \| good
2025-10-23T13:00:00.000Z	18 \| good	0.605 \| good	2.18 \| good	18.596 \| good	0.73 \| good	3.872 \| good	0.14 \| good
2025-10-23T14:00:00.000Z	19 \| good	0.356 \| good	1.277 \| good	21.43 \| good	0.741 \| good	3.305 \| good	0.14 \| good
2025-10-23T15:00:00.000Z	24 \| good	0.262 \| good	0.994 \| good	25.58 \| good	0.751 \| good	2.738 \| good	0.139 \| good
2025-10-23T16:00:00.000Z	29 \| good	0.396 \| good	1.69 \| good	31.084 \| good	0.67 \| good	2.24 \| good	0.134 \| good
2025-10-23T17:00:00.000Z	32 \| good	0.306 \| good	0.994 \| good	35.37 \| good	0.59 \| good	1.742 \| good	0.128 \| good
2025-10-23T18:00:00.000Z	32 \| good	0.292 \| good	0.994 \| good	34.981 \| good	0.51 \| good	1.244 \| good	0.123 \| good
2025-10-23T19:00:00.000Z	32 \| good	0.419 \| good	1.346 \| good	34.637 \| good	0.516 \| good	1.261 \| good	0.123 \| good
2025-10-23T20:00:00.000Z	34 \| good	0.336 \| good	1.154 \| good	37.32 \| good	0.523 \| good	1.277 \| good	0.124 \| good

Live air quality index in Beavercreek, Ohio today

Major air pollutants in Beavercreek, Ohio

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

Kettering, Ohio

Riverside, Ohio

Xenia, Ohio

Centerville, Ohio

Dayton, Ohio

Fairborn, Ohio

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What is the nitrogen dioxide (NO2) level in Beavercreek, Ohio at the moment?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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What is the sulfur dioxide (SO₂) level in Beavercreek, Ohio at the moment?

What is the ozone (O₃) level in Beavercreek, Ohio at the moment?

What is the nitrogen dioxide (NO₂) level in Beavercreek, Ohio at the moment?