What is the current level of PM10 in Bexley, Ohio?

Bexley, Ohio currently has a PM10 concentration of 11.621 μg/m3.

What is the current level of sulfur dioxide (SO2) in Bexley, Ohio?

The current sulfur dioxide (SO2) concentration in Bexley, Ohio is 1.773 ppb.

What is the current level of ozone (O3) in Bexley, Ohio?

Bexley, Ohio currently has an ozone (O3) concentration of 19.334 ppm.

What is the current level of nitrogen dioxide (NO2) in Bexley, Ohio?

The current level of nitrogen dioxide (NO2) in Bexley, Ohio is 3.833 ppb.

Current air quality index in Bexley, Ohio today

Q: What is the PM2.5 concentration in Bexley, Ohio right now?

Bexley, Ohio currently has a PM2.5 concentration of 5.436 μg/m3.

Stay updated with real-time air quality in Bexley, 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

Bexley, Ohio

Last updated: ... (Local time)

Common air pollutants in Bexley, Ohio

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.44 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.62 μg/m³

155

255

425

605+

Ozone (O₃)

19.33 ppb

201

201+

Sulfur Dioxide (SO₂)

1.77 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.83 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Bexley, Ohio

Get Live Pollen Counts

Bexley, Ohio

Scroll To Air Quality Map

Track live Bexley, Ohio air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-05T14:00:00.000Z	29 \| good	4.127 \| good	11.711 \| good	30.68 \| good	1.609 \| good	10.373 \| good	0.226 \| good
2026-09-05T15:00:00.000Z	30 \| good	3.605 \| good	9.425 \| good	31.636 \| good	1.607 \| good	9.503 \| good	0.219 \| good
2026-09-05T16:00:00.000Z	29 \| good	3.148 \| good	9.065 \| good	30.989 \| good	1.863 \| good	5.825 \| good	0.139 \| good
2026-09-05T17:00:00.000Z	31 \| good	2.991 \| good	9.032 \| good	33.975 \| good	4.556 \| good	3.566 \| good	0.133 \| good
2026-09-05T18:00:00.000Z	31 \| good	2.793 \| good	8.069 \| good	34.391 \| good	8.087 \| good	2.766 \| good	0.133 \| good
2026-09-05T19:00:00.000Z	36 \| good	2.816 \| good	8.057 \| good	39.054 \| good	4.995 \| good	2.748 \| good	0.147 \| good
2026-09-05T20:00:00.000Z	37 \| good	2.905 \| good	7.389 \| good	40.466 \| good	5.095 \| good	3.295 \| good	0.207 \| good
2026-09-05T21:00:00.000Z	40 \| good	3.227 \| good	9.058 \| good	42.79 \| good	6.071 \| good	3.009 \| good	0.147 \| good
2026-09-05T22:00:00.000Z	42 \| good	3.381 \| good	10.054 \| good	45.1 \| good	4.927 \| good	2.804 \| good	0.153 \| good
2026-09-05T23:00:00.000Z	41 \| good	3.176 \| good	8.356 \| good	44.036 \| good	4.104 \| good	2.871 \| good	0.233 \| good
2026-09-06T00:00:00.000Z	38 \| good	3.255 \| good	8.718 \| good	40.713 \| good	4.127 \| good	3.513 \| good	0.227 \| good
2026-09-06T01:00:00.000Z	35 \| good	3.44 \| good	8.106 \| good	38.49 \| good	1.909 \| good	2.927 \| good	0.207 \| good
2026-09-06T02:00:00.000Z	33 \| good	4.417 \| good	11.249 \| good	36.19 \| good	1.628 \| good	3.448 \| good	0.22 \| good
2026-09-06T03:00:00.000Z	38 \| good	6.713 \| good	29.852 \| good	31.498 \| good	0.734 \| good	4.371 \| good	0.189 \| good
2026-09-06T04:00:00.000Z	38 \| good	6.833 \| good	16.13 \| good	32.785 \| good	1.584 \| good	3.507 \| good	0.306 \| good
2026-09-06T05:00:00.000Z	38 \| good	6.68 \| good	15.129 \| good	31.185 \| good	2.198 \| good	4.041 \| good	0.313 \| good
2026-09-06T06:00:00.000Z	33 \| good	6.27 \| good	13.472 \| good	28.883 \| good	3.78 \| good	3.905 \| good	0.326 \| good
2026-09-06T07:00:00.000Z	33 \| good	6.007 \| good	14.378 \| good	28.95 \| good	1.984 \| good	4.145 \| good	0.299 \| good
2026-09-06T08:00:00.000Z	33 \| good	5.991 \| good	13.708 \| good	26.832 \| good	1.993 \| good	3.449 \| good	0.292 \| good
2026-09-06T09:00:00.000Z	33 \| good	6.181 \| good	13.753 \| good	24.454 \| good	1.785 \| good	6.767 \| good	0.286 \| good
2026-09-06T10:00:00.000Z	33 \| good	6.45 \| good	14.712 \| good	22.234 \| good	1.785 \| good	3.703 \| good	0.299 \| good
2026-09-06T11:00:00.000Z	33 \| good	6.482 \| good	15.661 \| good	22.719 \| good	2.4 \| good	3.908 \| good	0.299 \| good
2026-09-06T12:00:00.000Z	33 \| good	6.454 \| good	15.247 \| good	25.132 \| good	2.603 \| good	3.585 \| good	0.313 \| good
2026-09-06T13:00:00.000Z	38 \| good	6.676 \| good	15.801 \| good	27.441 \| good	3.009 \| good	3.235 \| good	0.312 \| good
2026-09-06T14:00:00.000Z	38 \| good	6.615 \| good	16.036 \| good	25.546 \| good	2.402 \| good	3.733 \| good	0.299 \| good
2026-09-06T15:00:00.000Z	33 \| good	6.127 \| good	15.711 \| good	26.523 \| good	2.487 \| good	2.373 \| good	0.286 \| good
2026-09-06T16:00:00.000Z	27 \| good	5.313 \| good	13.035 \| good	28.297 \| good	2.771 \| good	1.817 \| good	0.286 \| good
2026-09-06T17:00:00.000Z	27 \| good	4.662 \| good	11.882 \| good	28.556 \| good	2.209 \| good	1.898 \| good	0.286 \| good
2026-09-06T18:00:00.000Z	29 \| good	4.139 \| good	10.007 \| good	31.323 \| good	1.76 \| good	2.087 \| good	0.286 \| good
2026-09-06T19:00:00.000Z	31 \| good	4.219 \| good	9.206 \| good	32.645 \| good	1.569 \| good	1.852 \| good	0.293 \| good
2026-09-06T20:00:00.000Z	33 \| good	4.727 \| good	10.612 \| good	36.255 \| good	1.789 \| good	1.779 \| good	0.3 \| good
2026-09-06T21:00:00.000Z	34 \| good	5.085 \| good	11.144 \| good	36.56 \| good	1.996 \| good	1.808 \| good	0.279 \| good
2026-09-06T22:00:00.000Z	33 \| good	4.651 \| good	11.232 \| good	36.209 \| good	1.581 \| good	4.047 \| good	0.286 \| good
2026-09-06T23:00:00.000Z	31 \| good	4.62 \| good	11.745 \| good	34.421 \| good	1.579 \| good	4.502 \| good	0.3 \| good
2026-09-07T00:00:00.000Z	30 \| good	4.546 \| good	11.469 \| good	32.068 \| good	1.576 \| good	4.14 \| good	0.307 \| good
2026-09-07T01:00:00.000Z	30 \| good	3.857 \| good	10.062 \| good	31.731 \| good	1.574 \| good	2.223 \| good	0.293 \| good
2026-09-07T02:00:00.000Z	27 \| good	4.525 \| good	10.572 \| good	28.423 \| good	1.627 \| good	4.217 \| good	0.313 \| good
2026-09-07T03:00:00.000Z	38 \| good	6.534 \| good	29.252 \| good	28.436 \| good	0.39 \| good	3.646 \| good	0.169 \| good
2026-09-07T04:00:00.000Z	27 \| good	5.368 \| good	11.62 \| good	27.68 \| good	2.788 \| good	4.448 \| good	0.334 \| good
2026-09-07T05:00:00.000Z	33 \| good	5.613 \| good	11.162 \| good	27.811 \| good	3.002 \| good	4.497 \| good	0.313 \| good
2026-09-07T06:00:00.000Z	33 \| good	5.749 \| good	12.763 \| good	25.878 \| good	2.17 \| good	3.53 \| good	0.293 \| good
2026-09-07T07:00:00.000Z	33 \| good	5.642 \| good	11.988 \| good	24.621 \| good	1.961 \| good	3.25 \| good	0.279 \| good
2026-09-07T08:00:00.000Z	33 \| good	5.624 \| good	12.495 \| good	24.939 \| good	1.962 \| good	3.492 \| good	0.293 \| good
2026-09-07T09:00:00.000Z	33 \| good	5.711 \| good	13.284 \| good	21.678 \| good	1.559 \| good	4.354 \| good	0.286 \| good
2026-09-07T10:00:00.000Z	27 \| good	5.445 \| good	11.627 \| good	19.41 \| good	1.762 \| good	3.241 \| good	0.286 \| good
2026-09-07T11:00:00.000Z	27 \| good	5.386 \| good	12.357 \| good	17.047 \| good	1.757 \| good	4.71 \| good	0.286 \| good
2026-09-07T12:00:00.000Z	27 \| good	5.436 \| good	11.621 \| good	19.334 \| good	1.773 \| good	3.833 \| good	0.312 \| good
2026-09-07T13:00:00.000Z	33 \| good	5.52 \| good	11.875 \| good	17.944 \| good	1.555 \| good	4.225 \| good	0.292 \| good
2026-09-07T13:00:00.000Z	27 \| good	5.436 \| good	11.621 \| good	19.334 \| good	1.773 \| good	3.833 \| good	0.312 \| good
2026-09-07T14:00:00.000Z	44 \| good	8.323 \| good	36.347 \| good	26.646 \| good	0.527 \| good	2.421 \| good	0.176 \| good
2026-09-07T15:00:00.000Z	44 \| good	8.462 \| good	37.311 \| good	31.976 \| good	0.561 \| good	1.657 \| good	0.176 \| good
2026-09-07T16:00:00.000Z	49 \| good	8.615 \| good	37.766 \| good	37.142 \| good	0.587 \| good	0.995 \| good	0.174 \| good
2026-09-07T17:00:00.000Z	49 \| good	8.813 \| good	38.606 \| good	39.348 \| good	0.597 \| good	0.672 \| good	0.174 \| good
2026-09-07T18:00:00.000Z	44 \| good	7.659 \| good	33.793 \| good	41.598 \| good	0.487 \| good	0.536 \| good	0.172 \| good
2026-09-07T19:00:00.000Z	42 \| good	6.867 \| good	30.694 \| good	45.388 \| good	0.418 \| good	0.543 \| good	0.169 \| good
2026-09-07T20:00:00.000Z	46 \| good	6.993 \| good	30.883 \| good	50.475 \| good	0.388 \| good	0.556 \| good	0.166 \| good
2026-09-07T21:00:00.000Z	46 \| good	6.347 \| good	28.117 \| good	49.835 \| good	0.381 \| good	0.56 \| good	0.165 \| good
2026-09-07T22:00:00.000Z	44 \| good	6.874 \| good	30.372 \| good	48.329 \| good	0.385 \| good	0.802 \| good	0.167 \| good
2026-09-07T23:00:00.000Z	49 \| good	8.873 \| good	38.882 \| good	38.637 \| good	0.384 \| good	2.652 \| good	0.186 \| good
2026-09-08T00:00:00.000Z	56 \| moderate	11.872 \| good	52.944 \| good	24.386 \| good	0.404 \| good	5.196 \| good	0.206 \| good
2026-09-08T01:00:00.000Z	44 \| good	8.399 \| good	37.239 \| good	25.736 \| good	0.444 \| good	6.312 \| good	0.215 \| good
2026-09-08T02:00:00.000Z	44 \| good	7.621 \| good	33.798 \| good	26.922 \| good	0.487 \| good	6.033 \| good	0.211 \| good
2026-09-08T03:00:00.000Z	44 \| good	7.596 \| good	33.619 \| good	27.75 \| good	0.539 \| good	5.324 \| good	0.205 \| good
2026-09-08T04:00:00.000Z	44 \| good	8.175 \| good	35.942 \| good	28.376 \| good	0.597 \| good	4.711 \| good	0.199 \| good
2026-09-08T05:00:00.000Z	49 \| good	8.972 \| good	39.537 \| good	29.66 \| good	0.642 \| good	4.303 \| good	0.196 \| good
2026-09-08T06:00:00.000Z	52 \| moderate	9.89 \| good	43.644 \| good	29.037 \| good	0.678 \| good	3.896 \| good	0.191 \| good
2026-09-08T07:00:00.000Z	52 \| moderate	10.126 \| good	45 \| good	25.101 \| good	0.704 \| good	3.583 \| good	0.187 \| good
2026-09-08T08:00:00.000Z	52 \| moderate	10.176 \| good	45.127 \| good	22.625 \| good	0.713 \| good	3.464 \| good	0.185 \| good
2026-09-08T09:00:00.000Z	52 \| moderate	10.367 \| good	45.769 \| good	22.914 \| good	0.697 \| good	3.544 \| good	0.185 \| good
2026-09-08T10:00:00.000Z	52 \| moderate	9.811 \| good	43.785 \| good	15.288 \| good	0.66 \| good	3.686 \| good	0.186 \| good
2026-09-08T11:00:00.000Z	54 \| moderate	10.689 \| good	47.354 \| good	14.198 \| good	0.611 \| good	3.95 \| good	0.189 \| good
2026-09-08T12:00:00.000Z	54 \| moderate	10.809 \| good	47.806 \| good	17.022 \| good	0.549 \| good	4.101 \| good	0.197 \| good
2026-09-08T13:00:00.000Z	44 \| good	7.741 \| good	33.992 \| good	24.249 \| good	0.505 \| good	3.764 \| good	0.209 \| good
2026-09-08T14:00:00.000Z	49 \| good	8.87 \| good	38.921 \| good	32.22 \| good	0.518 \| good	2.397 \| good	0.204 \| good
2026-09-08T15:00:00.000Z	49 \| good	8.992 \| good	39.263 \| good	38.79 \| good	0.51 \| good	1.451 \| good	0.198 \| good
2026-09-08T16:00:00.000Z	44 \| good	8.404 \| good	36.873 \| good	41.167 \| good	0.479 \| good	0.968 \| good	0.193 \| good
2026-09-08T17:00:00.000Z	44 \| good	7.76 \| good	34 \| good	39.733 \| good	0.47 \| good	0.759 \| good	0.188 \| good
2026-09-08T18:00:00.000Z	38 \| good	6.625 \| good	29.569 \| good	41.277 \| good	0.445 \| good	0.669 \| good	0.183 \| good
2026-09-08T19:00:00.000Z	41 \| good	5.941 \| good	25.96 \| good	43.974 \| good	0.4 \| good	0.645 \| good	0.179 \| good
2026-09-08T20:00:00.000Z	44 \| good	6.499 \| good	29.172 \| good	47.932 \| good	0.371 \| good	0.682 \| good	0.179 \| good
2026-09-08T21:00:00.000Z	44 \| good	8.078 \| good	35.588 \| good	45.549 \| good	0.356 \| good	0.766 \| good	0.18 \| good
2026-09-08T22:00:00.000Z	54 \| moderate	10.658 \| good	47.123 \| good	40.825 \| good	0.354 \| good	0.998 \| good	0.182 \| good
2026-09-08T23:00:00.000Z	56 \| moderate	11.771 \| good	52.524 \| good	34.589 \| good	0.35 \| good	2.405 \| good	0.197 \| good
2026-09-09T00:00:00.000Z	56 \| moderate	12.409 \| fine	55.535 \| fine	33.038 \| good	0.375 \| good	5.062 \| good	0.22 \| good
2026-09-09T01:00:00.000Z	56 \| moderate	11.93 \| good	53.105 \| good	36.281 \| good	0.423 \| good	6.835 \| good	0.235 \| good
2026-09-09T02:00:00.000Z	49 \| good	8.93 \| good	39.091 \| good	34.694 \| good	0.458 \| good	6.979 \| good	0.236 \| good
2026-09-09T03:00:00.000Z	49 \| good	8.734 \| good	38.226 \| good	30.465 \| good	0.479 \| good	6.266 \| good	0.23 \| good
2026-09-09T04:00:00.000Z	44 \| good	8.417 \| good	36.692 \| good	27.981 \| good	0.487 \| good	5.405 \| good	0.224 \| good
2026-09-09T05:00:00.000Z	44 \| good	7.978 \| good	34.763 \| good	26.824 \| good	0.484 \| good	4.628 \| good	0.218 \| good
2026-09-09T06:00:00.000Z	38 \| good	7.303 \| good	32.09 \| good	27.726 \| good	0.484 \| good	4.005 \| good	0.212 \| good
2026-09-09T07:00:00.000Z	44 \| good	8.152 \| good	35.917 \| good	24.346 \| good	0.488 \| good	3.605 \| good	0.207 \| good
2026-09-09T08:00:00.000Z	44 \| good	8.334 \| good	36.818 \| good	22.825 \| good	0.486 \| good	3.392 \| good	0.205 \| good
2026-09-09T09:00:00.000Z	49 \| good	8.827 \| good	38.553 \| good	22.866 \| good	0.475 \| good	3.3 \| good	0.204 \| good
2026-09-09T10:00:00.000Z	52 \| moderate	9.99 \| good	44.423 \| good	17.884 \| good	0.46 \| good	3.304 \| good	0.204 \| good
2026-09-09T11:00:00.000Z	54 \| moderate	11.269 \| good	49.805 \| good	14.624 \| good	0.456 \| good	3.408 \| good	0.203 \| good
2026-09-09T12:00:00.000Z	27 \| good	5.356 \| good	5.565 \| good	25.459 \| good	0.451 \| good	3.41 \| good	0.206 \| good
2026-09-09T13:00:00.000Z	33 \| good	5.588 \| good	5.931 \| good	29.344 \| good	0.444 \| good	3.103 \| good	0.212 \| good

Bexley

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Bexley, Ohio

0.30ppm

How accurate is Ohio, USA air quality data?

The air quality data for Ohio, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for Bexley, Ohio get updated?

Air quality updates for Bexley, Ohio are available every hour.

What time in the past 24 hours saw the poorest air quality in Bexley, Ohio?

Bexley, Ohio experienced its worst air quality at 03:00:00, 2026-09-07.

When was air quality in Bexley, Ohio the best over the past 24 hours?

The best air quality in Bexley, Ohio was observed at 12:00:00 on 2026-09-07.

What is the air quality in Bexley, Ohio right now?

The air quality in Bexley, Ohio right now is Good, with an AQI of 27.

What pollutant is most frequently found in Bexley, Ohio?

In Bexley, Ohio, PM2.5 is the most frequently found pollutant.

What can I do if the air quality in Bexley, Ohio is poor?

When air quality in Bexley, Ohio is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Bexley, Ohio right now?

Bexley, Ohio currently has a PM_2.5 concentration of 5.436 μg/m³.

What is the current level of PM₁₀ in Bexley, Ohio?

Bexley, Ohio currently has a PM₁₀ concentration of 11.621 μg/m³.

What is the current level of carbon monoxide (CO) in Bexley, Ohio?

The current carbon monoxide (CO) level in Bexley, Ohio is 0.312 ppm.

What is the current level of sulfur dioxide (SO₂) in Bexley, Ohio?

The current sulfur dioxide (SO₂) concentration in Bexley, Ohio is 1.773 ppb.

What is the current level of ozone (O₃) in Bexley, Ohio?

Bexley, Ohio currently has an ozone (O₃) concentration of 19.334 ppm.

What is the current level of nitrogen dioxide (NO₂) in Bexley, Ohio?

The current level of nitrogen dioxide (NO₂) in Bexley, Ohio is 3.833 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-05T14:00:00.000Z	29 \| good	4.127 \| good	11.711 \| good	30.68 \| good	1.609 \| good	10.373 \| good	0.226 \| good
2026-09-05T15:00:00.000Z	30 \| good	3.605 \| good	9.425 \| good	31.636 \| good	1.607 \| good	9.503 \| good	0.219 \| good
2026-09-05T16:00:00.000Z	29 \| good	3.148 \| good	9.065 \| good	30.989 \| good	1.863 \| good	5.825 \| good	0.139 \| good
2026-09-05T17:00:00.000Z	31 \| good	2.991 \| good	9.032 \| good	33.975 \| good	4.556 \| good	3.566 \| good	0.133 \| good
2026-09-05T18:00:00.000Z	31 \| good	2.793 \| good	8.069 \| good	34.391 \| good	8.087 \| good	2.766 \| good	0.133 \| good
2026-09-05T19:00:00.000Z	36 \| good	2.816 \| good	8.057 \| good	39.054 \| good	4.995 \| good	2.748 \| good	0.147 \| good
2026-09-05T20:00:00.000Z	37 \| good	2.905 \| good	7.389 \| good	40.466 \| good	5.095 \| good	3.295 \| good	0.207 \| good
2026-09-05T21:00:00.000Z	40 \| good	3.227 \| good	9.058 \| good	42.79 \| good	6.071 \| good	3.009 \| good	0.147 \| good
2026-09-05T22:00:00.000Z	42 \| good	3.381 \| good	10.054 \| good	45.1 \| good	4.927 \| good	2.804 \| good	0.153 \| good
2026-09-05T23:00:00.000Z	41 \| good	3.176 \| good	8.356 \| good	44.036 \| good	4.104 \| good	2.871 \| good	0.233 \| good
2026-09-06T00:00:00.000Z	38 \| good	3.255 \| good	8.718 \| good	40.713 \| good	4.127 \| good	3.513 \| good	0.227 \| good
2026-09-06T01:00:00.000Z	35 \| good	3.44 \| good	8.106 \| good	38.49 \| good	1.909 \| good	2.927 \| good	0.207 \| good
2026-09-06T02:00:00.000Z	33 \| good	4.417 \| good	11.249 \| good	36.19 \| good	1.628 \| good	3.448 \| good	0.22 \| good
2026-09-06T03:00:00.000Z	38 \| good	6.713 \| good	29.852 \| good	31.498 \| good	0.734 \| good	4.371 \| good	0.189 \| good
2026-09-06T04:00:00.000Z	38 \| good	6.833 \| good	16.13 \| good	32.785 \| good	1.584 \| good	3.507 \| good	0.306 \| good
2026-09-06T05:00:00.000Z	38 \| good	6.68 \| good	15.129 \| good	31.185 \| good	2.198 \| good	4.041 \| good	0.313 \| good
2026-09-06T06:00:00.000Z	33 \| good	6.27 \| good	13.472 \| good	28.883 \| good	3.78 \| good	3.905 \| good	0.326 \| good
2026-09-06T07:00:00.000Z	33 \| good	6.007 \| good	14.378 \| good	28.95 \| good	1.984 \| good	4.145 \| good	0.299 \| good
2026-09-06T08:00:00.000Z	33 \| good	5.991 \| good	13.708 \| good	26.832 \| good	1.993 \| good	3.449 \| good	0.292 \| good
2026-09-06T09:00:00.000Z	33 \| good	6.181 \| good	13.753 \| good	24.454 \| good	1.785 \| good	6.767 \| good	0.286 \| good
2026-09-06T10:00:00.000Z	33 \| good	6.45 \| good	14.712 \| good	22.234 \| good	1.785 \| good	3.703 \| good	0.299 \| good
2026-09-06T11:00:00.000Z	33 \| good	6.482 \| good	15.661 \| good	22.719 \| good	2.4 \| good	3.908 \| good	0.299 \| good
2026-09-06T12:00:00.000Z	33 \| good	6.454 \| good	15.247 \| good	25.132 \| good	2.603 \| good	3.585 \| good	0.313 \| good
2026-09-06T13:00:00.000Z	38 \| good	6.676 \| good	15.801 \| good	27.441 \| good	3.009 \| good	3.235 \| good	0.312 \| good
2026-09-06T14:00:00.000Z	38 \| good	6.615 \| good	16.036 \| good	25.546 \| good	2.402 \| good	3.733 \| good	0.299 \| good
2026-09-06T15:00:00.000Z	33 \| good	6.127 \| good	15.711 \| good	26.523 \| good	2.487 \| good	2.373 \| good	0.286 \| good
2026-09-06T16:00:00.000Z	27 \| good	5.313 \| good	13.035 \| good	28.297 \| good	2.771 \| good	1.817 \| good	0.286 \| good
2026-09-06T17:00:00.000Z	27 \| good	4.662 \| good	11.882 \| good	28.556 \| good	2.209 \| good	1.898 \| good	0.286 \| good
2026-09-06T18:00:00.000Z	29 \| good	4.139 \| good	10.007 \| good	31.323 \| good	1.76 \| good	2.087 \| good	0.286 \| good
2026-09-06T19:00:00.000Z	31 \| good	4.219 \| good	9.206 \| good	32.645 \| good	1.569 \| good	1.852 \| good	0.293 \| good
2026-09-06T20:00:00.000Z	33 \| good	4.727 \| good	10.612 \| good	36.255 \| good	1.789 \| good	1.779 \| good	0.3 \| good
2026-09-06T21:00:00.000Z	34 \| good	5.085 \| good	11.144 \| good	36.56 \| good	1.996 \| good	1.808 \| good	0.279 \| good
2026-09-06T22:00:00.000Z	33 \| good	4.651 \| good	11.232 \| good	36.209 \| good	1.581 \| good	4.047 \| good	0.286 \| good
2026-09-06T23:00:00.000Z	31 \| good	4.62 \| good	11.745 \| good	34.421 \| good	1.579 \| good	4.502 \| good	0.3 \| good
2026-09-07T00:00:00.000Z	30 \| good	4.546 \| good	11.469 \| good	32.068 \| good	1.576 \| good	4.14 \| good	0.307 \| good
2026-09-07T01:00:00.000Z	30 \| good	3.857 \| good	10.062 \| good	31.731 \| good	1.574 \| good	2.223 \| good	0.293 \| good
2026-09-07T02:00:00.000Z	27 \| good	4.525 \| good	10.572 \| good	28.423 \| good	1.627 \| good	4.217 \| good	0.313 \| good
2026-09-07T03:00:00.000Z	38 \| good	6.534 \| good	29.252 \| good	28.436 \| good	0.39 \| good	3.646 \| good	0.169 \| good
2026-09-07T04:00:00.000Z	27 \| good	5.368 \| good	11.62 \| good	27.68 \| good	2.788 \| good	4.448 \| good	0.334 \| good
2026-09-07T05:00:00.000Z	33 \| good	5.613 \| good	11.162 \| good	27.811 \| good	3.002 \| good	4.497 \| good	0.313 \| good
2026-09-07T06:00:00.000Z	33 \| good	5.749 \| good	12.763 \| good	25.878 \| good	2.17 \| good	3.53 \| good	0.293 \| good
2026-09-07T07:00:00.000Z	33 \| good	5.642 \| good	11.988 \| good	24.621 \| good	1.961 \| good	3.25 \| good	0.279 \| good
2026-09-07T08:00:00.000Z	33 \| good	5.624 \| good	12.495 \| good	24.939 \| good	1.962 \| good	3.492 \| good	0.293 \| good
2026-09-07T09:00:00.000Z	33 \| good	5.711 \| good	13.284 \| good	21.678 \| good	1.559 \| good	4.354 \| good	0.286 \| good
2026-09-07T10:00:00.000Z	27 \| good	5.445 \| good	11.627 \| good	19.41 \| good	1.762 \| good	3.241 \| good	0.286 \| good
2026-09-07T11:00:00.000Z	27 \| good	5.386 \| good	12.357 \| good	17.047 \| good	1.757 \| good	4.71 \| good	0.286 \| good
2026-09-07T12:00:00.000Z	27 \| good	5.436 \| good	11.621 \| good	19.334 \| good	1.773 \| good	3.833 \| good	0.312 \| good
2026-09-07T13:00:00.000Z	33 \| good	5.52 \| good	11.875 \| good	17.944 \| good	1.555 \| good	4.225 \| good	0.292 \| good
2026-09-07T13:00:00.000Z	27 \| good	5.436 \| good	11.621 \| good	19.334 \| good	1.773 \| good	3.833 \| good	0.312 \| good
2026-09-07T14:00:00.000Z	44 \| good	8.323 \| good	36.347 \| good	26.646 \| good	0.527 \| good	2.421 \| good	0.176 \| good
2026-09-07T15:00:00.000Z	44 \| good	8.462 \| good	37.311 \| good	31.976 \| good	0.561 \| good	1.657 \| good	0.176 \| good
2026-09-07T16:00:00.000Z	49 \| good	8.615 \| good	37.766 \| good	37.142 \| good	0.587 \| good	0.995 \| good	0.174 \| good
2026-09-07T17:00:00.000Z	49 \| good	8.813 \| good	38.606 \| good	39.348 \| good	0.597 \| good	0.672 \| good	0.174 \| good
2026-09-07T18:00:00.000Z	44 \| good	7.659 \| good	33.793 \| good	41.598 \| good	0.487 \| good	0.536 \| good	0.172 \| good
2026-09-07T19:00:00.000Z	42 \| good	6.867 \| good	30.694 \| good	45.388 \| good	0.418 \| good	0.543 \| good	0.169 \| good
2026-09-07T20:00:00.000Z	46 \| good	6.993 \| good	30.883 \| good	50.475 \| good	0.388 \| good	0.556 \| good	0.166 \| good
2026-09-07T21:00:00.000Z	46 \| good	6.347 \| good	28.117 \| good	49.835 \| good	0.381 \| good	0.56 \| good	0.165 \| good
2026-09-07T22:00:00.000Z	44 \| good	6.874 \| good	30.372 \| good	48.329 \| good	0.385 \| good	0.802 \| good	0.167 \| good
2026-09-07T23:00:00.000Z	49 \| good	8.873 \| good	38.882 \| good	38.637 \| good	0.384 \| good	2.652 \| good	0.186 \| good
2026-09-08T00:00:00.000Z	56 \| moderate	11.872 \| good	52.944 \| good	24.386 \| good	0.404 \| good	5.196 \| good	0.206 \| good
2026-09-08T01:00:00.000Z	44 \| good	8.399 \| good	37.239 \| good	25.736 \| good	0.444 \| good	6.312 \| good	0.215 \| good
2026-09-08T02:00:00.000Z	44 \| good	7.621 \| good	33.798 \| good	26.922 \| good	0.487 \| good	6.033 \| good	0.211 \| good
2026-09-08T03:00:00.000Z	44 \| good	7.596 \| good	33.619 \| good	27.75 \| good	0.539 \| good	5.324 \| good	0.205 \| good
2026-09-08T04:00:00.000Z	44 \| good	8.175 \| good	35.942 \| good	28.376 \| good	0.597 \| good	4.711 \| good	0.199 \| good
2026-09-08T05:00:00.000Z	49 \| good	8.972 \| good	39.537 \| good	29.66 \| good	0.642 \| good	4.303 \| good	0.196 \| good
2026-09-08T06:00:00.000Z	52 \| moderate	9.89 \| good	43.644 \| good	29.037 \| good	0.678 \| good	3.896 \| good	0.191 \| good
2026-09-08T07:00:00.000Z	52 \| moderate	10.126 \| good	45 \| good	25.101 \| good	0.704 \| good	3.583 \| good	0.187 \| good
2026-09-08T08:00:00.000Z	52 \| moderate	10.176 \| good	45.127 \| good	22.625 \| good	0.713 \| good	3.464 \| good	0.185 \| good
2026-09-08T09:00:00.000Z	52 \| moderate	10.367 \| good	45.769 \| good	22.914 \| good	0.697 \| good	3.544 \| good	0.185 \| good
2026-09-08T10:00:00.000Z	52 \| moderate	9.811 \| good	43.785 \| good	15.288 \| good	0.66 \| good	3.686 \| good	0.186 \| good
2026-09-08T11:00:00.000Z	54 \| moderate	10.689 \| good	47.354 \| good	14.198 \| good	0.611 \| good	3.95 \| good	0.189 \| good
2026-09-08T12:00:00.000Z	54 \| moderate	10.809 \| good	47.806 \| good	17.022 \| good	0.549 \| good	4.101 \| good	0.197 \| good
2026-09-08T13:00:00.000Z	44 \| good	7.741 \| good	33.992 \| good	24.249 \| good	0.505 \| good	3.764 \| good	0.209 \| good
2026-09-08T14:00:00.000Z	49 \| good	8.87 \| good	38.921 \| good	32.22 \| good	0.518 \| good	2.397 \| good	0.204 \| good
2026-09-08T15:00:00.000Z	49 \| good	8.992 \| good	39.263 \| good	38.79 \| good	0.51 \| good	1.451 \| good	0.198 \| good
2026-09-08T16:00:00.000Z	44 \| good	8.404 \| good	36.873 \| good	41.167 \| good	0.479 \| good	0.968 \| good	0.193 \| good
2026-09-08T17:00:00.000Z	44 \| good	7.76 \| good	34 \| good	39.733 \| good	0.47 \| good	0.759 \| good	0.188 \| good
2026-09-08T18:00:00.000Z	38 \| good	6.625 \| good	29.569 \| good	41.277 \| good	0.445 \| good	0.669 \| good	0.183 \| good
2026-09-08T19:00:00.000Z	41 \| good	5.941 \| good	25.96 \| good	43.974 \| good	0.4 \| good	0.645 \| good	0.179 \| good
2026-09-08T20:00:00.000Z	44 \| good	6.499 \| good	29.172 \| good	47.932 \| good	0.371 \| good	0.682 \| good	0.179 \| good
2026-09-08T21:00:00.000Z	44 \| good	8.078 \| good	35.588 \| good	45.549 \| good	0.356 \| good	0.766 \| good	0.18 \| good
2026-09-08T22:00:00.000Z	54 \| moderate	10.658 \| good	47.123 \| good	40.825 \| good	0.354 \| good	0.998 \| good	0.182 \| good
2026-09-08T23:00:00.000Z	56 \| moderate	11.771 \| good	52.524 \| good	34.589 \| good	0.35 \| good	2.405 \| good	0.197 \| good
2026-09-09T00:00:00.000Z	56 \| moderate	12.409 \| fine	55.535 \| fine	33.038 \| good	0.375 \| good	5.062 \| good	0.22 \| good
2026-09-09T01:00:00.000Z	56 \| moderate	11.93 \| good	53.105 \| good	36.281 \| good	0.423 \| good	6.835 \| good	0.235 \| good
2026-09-09T02:00:00.000Z	49 \| good	8.93 \| good	39.091 \| good	34.694 \| good	0.458 \| good	6.979 \| good	0.236 \| good
2026-09-09T03:00:00.000Z	49 \| good	8.734 \| good	38.226 \| good	30.465 \| good	0.479 \| good	6.266 \| good	0.23 \| good
2026-09-09T04:00:00.000Z	44 \| good	8.417 \| good	36.692 \| good	27.981 \| good	0.487 \| good	5.405 \| good	0.224 \| good
2026-09-09T05:00:00.000Z	44 \| good	7.978 \| good	34.763 \| good	26.824 \| good	0.484 \| good	4.628 \| good	0.218 \| good
2026-09-09T06:00:00.000Z	38 \| good	7.303 \| good	32.09 \| good	27.726 \| good	0.484 \| good	4.005 \| good	0.212 \| good
2026-09-09T07:00:00.000Z	44 \| good	8.152 \| good	35.917 \| good	24.346 \| good	0.488 \| good	3.605 \| good	0.207 \| good
2026-09-09T08:00:00.000Z	44 \| good	8.334 \| good	36.818 \| good	22.825 \| good	0.486 \| good	3.392 \| good	0.205 \| good
2026-09-09T09:00:00.000Z	49 \| good	8.827 \| good	38.553 \| good	22.866 \| good	0.475 \| good	3.3 \| good	0.204 \| good
2026-09-09T10:00:00.000Z	52 \| moderate	9.99 \| good	44.423 \| good	17.884 \| good	0.46 \| good	3.304 \| good	0.204 \| good
2026-09-09T11:00:00.000Z	54 \| moderate	11.269 \| good	49.805 \| good	14.624 \| good	0.456 \| good	3.408 \| good	0.203 \| good
2026-09-09T12:00:00.000Z	27 \| good	5.356 \| good	5.565 \| good	25.459 \| good	0.451 \| good	3.41 \| good	0.206 \| good
2026-09-09T13:00:00.000Z	33 \| good	5.588 \| good	5.931 \| good	29.344 \| good	0.444 \| good	3.103 \| good	0.212 \| good

Current air quality index in Bexley, Ohio today

Common air pollutants in Bexley, Ohio

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Real-time air quality map: Monitor AQI near Bexley, Ohio

Air quality in nearby cities

Whitehall, Ohio

Columbus, Ohio

Gahanna, Ohio

Reynoldsburg, Ohio

Upper Arlington, Ohio

Worthington, Ohio

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Frequently asked questions

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Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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