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

Bexley, Ohio currently has a PM10 concentration of 21.671 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Bexley, Ohio is 1.438 ppb.

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

Bexley, Ohio currently has an ozone (O3) concentration of 14.002 ppm.

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

The current level of nitrogen dioxide (NO2) in Bexley, Ohio is 11.234 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 8.831 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)

5.16 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

30.33 μg/m³

155

255

425

605+

Ozone (O₃)

51.36 ppb

201

201+

Sulfur Dioxide (SO₂)

0.90 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.63 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.13 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2026-10-06T02:00:00.000Z	27 \| good	5.129 \| good	19.861 \| good	25.463 \| good	2.115 \| good	19.88 \| good	0.478 \| good
2026-10-06T03:00:00.000Z	52 \| moderate	10.309 \| good	45.689 \| good	10.639 \| good	0.61 \| good	11.843 \| good	0.212 \| good
2026-10-06T04:00:00.000Z	49 \| good	9.181 \| good	28.052 \| good	20.101 \| good	1.36 \| good	17.651 \| good	0.405 \| good
2026-10-06T05:00:00.000Z	49 \| good	9.273 \| good	25.361 \| good	15.389 \| good	1.331 \| good	16.089 \| good	0.317 \| good
2026-10-06T06:00:00.000Z	52 \| moderate	10.034 \| good	24.485 \| good	16.1 \| good	1.446 \| good	12.957 \| good	0.244 \| good
2026-10-06T07:00:00.000Z	49 \| good	8.831 \| good	21.671 \| good	14.002 \| good	1.438 \| good	11.234 \| good	0.164 \| good
2026-10-06T08:00:00.000Z	49 \| good	8.646 \| good	23.05 \| good	15.215 \| good	1.013 \| good	13.084 \| good	0.145 \| good
2026-10-06T09:00:00.000Z	49 \| good	8.615 \| good	21.089 \| good	13.156 \| good	1.285 \| good	12.946 \| good	0.151 \| good
2026-10-06T10:00:00.000Z	49 \| good	9.45 \| good	21.349 \| good	13.07 \| good	1.206 \| good	12.545 \| good	0.158 \| good
2026-10-06T11:00:00.000Z	49 \| good	9.353 \| good	22.86 \| good	8.864 \| good	1.127 \| good	12.072 \| good	0.256 \| good
2026-10-06T12:00:00.000Z	52 \| moderate	9.888 \| good	28.667 \| good	8.913 \| good	1.318 \| good	14.766 \| good	0.303 \| good
2026-10-06T13:00:00.000Z	54 \| moderate	10.508 \| good	39.377 \| good	8.437 \| good	1.558 \| good	13.91 \| good	0.547 \| good
2026-10-06T14:00:00.000Z	58 \| moderate	12.718 \| fine	56.466 \| fine	10.103 \| good	1.762 \| good	13.076 \| good	0.499 \| good
2026-10-06T15:00:00.000Z	56 \| moderate	12.422 \| fine	57.871 \| fine	15.795 \| good	2.121 \| good	16.464 \| good	0.335 \| good
2026-10-06T16:00:00.000Z	52 \| moderate	10.379 \| good	53.147 \| good	13.431 \| good	1.937 \| good	19.88 \| good	0.234 \| good
2026-10-06T17:00:00.000Z	44 \| good	8.378 \| good	47.172 \| good	25.352 \| good	2.838 \| good	16.956 \| good	0.206 \| good
2026-10-06T18:00:00.000Z	34 \| good	6.397 \| good	37.31 \| good	29.396 \| good	1.477 \| good	14.323 \| good	0.126 \| good
2026-10-06T19:00:00.000Z	33 \| good	5.329 \| good	31.857 \| good	35.753 \| good	1.136 \| good	12.484 \| good	0.119 \| good
2026-10-06T20:00:00.000Z	36 \| good	4.903 \| good	29.563 \| good	38.98 \| good	1.341 \| good	11.36 \| good	0.235 \| good
2026-10-06T21:00:00.000Z	38 \| good	4.453 \| good	27.158 \| good	40.54 \| good	1.699 \| good	11.342 \| good	0.126 \| good
2026-10-06T22:00:00.000Z	37 \| good	4.146 \| good	25.071 \| good	39.872 \| good	0.915 \| good	13.302 \| good	0.133 \| good
2026-10-06T23:00:00.000Z	36 \| good	4.102 \| good	24.564 \| good	39.301 \| good	1.056 \| good	14.699 \| good	0.22 \| good
2026-10-07T00:00:00.000Z	38 \| good	5.092 \| good	41.001 \| good	36.1 \| good	0.903 \| good	18.853 \| good	0.286 \| good
2026-10-07T01:00:00.000Z	47 \| good	6.798 \| good	51.386 \| good	29.945 \| good	0.881 \| good	25.774 \| good	0.386 \| good
2026-10-07T02:00:00.000Z	49 \| good	8.173 \| good	52.986 \| good	27.832 \| good	0.936 \| good	31.63 \| good	0.408 \| good
2026-10-07T03:00:00.000Z	52 \| moderate	9.546 \| good	42.766 \| good	19.381 \| good	0.769 \| good	14.911 \| good	0.259 \| good
2026-10-07T04:00:00.000Z	49 \| good	9.212 \| good	48.075 \| good	26.449 \| good	1.404 \| good	26.331 \| good	0.241 \| good
2026-10-07T05:00:00.000Z	44 \| good	8.077 \| good	37.074 \| good	19.564 \| good	1.548 \| good	19.054 \| good	0.314 \| good
2026-10-07T06:00:00.000Z	44 \| good	8.067 \| good	33.929 \| good	16.479 \| good	1.682 \| good	20.334 \| good	0.233 \| good
2026-10-07T07:00:00.000Z	49 \| good	8.552 \| good	31.835 \| good	18.888 \| good	1.673 \| good	15.988 \| good	0.16 \| good
2026-10-07T08:00:00.000Z	49 \| good	9.156 \| good	36.01 \| good	21.125 \| good	1.309 \| good	14.881 \| good	0.147 \| good
2026-10-07T09:00:00.000Z	44 \| good	8.403 \| good	30.788 \| good	14.913 \| good	0.796 \| good	12.832 \| good	0.279 \| good
2026-10-07T10:00:00.000Z	44 \| good	7.995 \| good	24.384 \| good	14.868 \| good	0.855 \| good	11.511 \| good	0.147 \| good
2026-10-07T11:00:00.000Z	44 \| good	8.155 \| good	25.443 \| good	12.434 \| good	1.032 \| good	11.331 \| good	0.233 \| good
2026-10-07T12:00:00.000Z	44 \| good	7.635 \| good	25.286 \| good	16.238 \| good	1.044 \| good	14.01 \| good	0.246 \| good
2026-10-07T13:00:00.000Z	44 \| good	7.574 \| good	27.114 \| good	15.831 \| good	1.166 \| good	17.475 \| good	0.255 \| good
2026-10-07T14:00:00.000Z	49 \| good	9.032 \| good	47.174 \| good	15.456 \| good	1.09 \| good	16.959 \| good	0.422 \| good
2026-10-07T15:00:00.000Z	49 \| good	8.534 \| good	49.296 \| good	18.705 \| good	1.237 \| good	22.412 \| good	0.241 \| good
2026-10-07T16:00:00.000Z	49 \| good	8.564 \| good	51.065 \| good	25.149 \| good	1.871 \| good	16.04 \| good	0.147 \| good
2026-10-07T17:00:00.000Z	46 \| good	8.093 \| good	50.361 \| good	27.214 \| good	3.113 \| good	13.507 \| good	0.119 \| good
2026-10-07T18:00:00.000Z	41 \| good	6.956 \| good	43.584 \| good	32.343 \| good	3.068 \| good	13.794 \| good	0.197 \| good
2026-10-07T19:00:00.000Z	36 \| good	5.82 \| good	35.25 \| good	38.581 \| good	0.949 \| good	13.016 \| good	0.203 \| good
2026-10-07T20:00:00.000Z	44 \| good	5.046 \| good	33.234 \| good	46.822 \| good	0.903 \| good	12.001 \| good	0.198 \| good
2026-10-07T21:00:00.000Z	45 \| good	4.928 \| good	32.604 \| good	48.742 \| good	1.553 \| good	13.299 \| good	0.198 \| good
2026-10-07T22:00:00.000Z	47 \| good	4.893 \| good	33.967 \| good	50.928 \| good	1.48 \| good	11.627 \| good	0.201 \| good
2026-10-07T23:00:00.000Z	46 \| good	5.109 \| good	32.365 \| good	50.092 \| good	1.099 \| good	13.465 \| good	0.132 \| good
2026-10-08T00:00:00.000Z	47 \| good	5.163 \| good	30.334 \| good	51.36 \| good	0.901 \| good	14.632 \| good	0.125 \| good
2026-10-08T01:00:00.000Z	45 \| good	5.644 \| good	29.816 \| good	49.497 \| good	1 \| good	17.886 \| good	0.126 \| good
2026-10-08T01:00:00.000Z	47 \| good	5.163 \| good	30.334 \| good	51.36 \| good	0.901 \| good	14.632 \| good	0.125 \| good
2026-10-06T09:00:00.000Z	44 \| good	8.061 \| good	35.218 \| good	11.064 \| good	0.646 \| good	9.202 \| good	0.198 \| good
2026-10-06T10:00:00.000Z	49 \| good	9.105 \| good	40.311 \| good	9.778 \| good	0.662 \| good	9.49 \| good	0.199 \| good
2026-10-06T11:00:00.000Z	54 \| moderate	10.653 \| good	47.359 \| good	3.458 \| good	0.682 \| good	9.897 \| good	0.202 \| good
2026-10-06T12:00:00.000Z	58 \| moderate	13.224 \| fine	58.95 \| fine	5.192 \| good	0.718 \| good	10.277 \| good	0.215 \| good
2026-10-06T13:00:00.000Z	56 \| moderate	11.529 \| good	51.111 \| good	14.784 \| good	0.711 \| good	7.365 \| good	0.221 \| good
2026-10-06T14:00:00.000Z	49 \| good	9.016 \| good	39.835 \| good	21.117 \| good	0.873 \| good	4.79 \| good	0.193 \| good
2026-10-06T15:00:00.000Z	33 \| good	5.854 \| good	25.361 \| good	26.327 \| good	1.074 \| good	3.03 \| good	0.166 \| good
2026-10-06T16:00:00.000Z	28 \| good	5.352 \| good	23.21 \| good	30.087 \| good	1.006 \| good	1.698 \| good	0.149 \| good
2026-10-06T17:00:00.000Z	31 \| good	4.922 \| good	21.522 \| good	34.052 \| good	0.877 \| good	1.126 \| good	0.143 \| good
2026-10-06T18:00:00.000Z	35 \| good	5.264 \| good	22.693 \| good	37.708 \| good	0.815 \| good	0.937 \| good	0.142 \| good
2026-10-06T19:00:00.000Z	36 \| good	5.579 \| good	24.251 \| good	39.285 \| good	0.78 \| good	0.873 \| good	0.141 \| good
2026-10-06T20:00:00.000Z	36 \| good	5.785 \| good	25.49 \| good	39.416 \| good	0.754 \| good	0.877 \| good	0.141 \| good
2026-10-06T21:00:00.000Z	38 \| good	5.509 \| good	23.826 \| good	41.386 \| good	0.736 \| good	0.987 \| good	0.141 \| good
2026-10-06T22:00:00.000Z	44 \| good	7.764 \| good	34.076 \| good	34.804 \| good	0.727 \| good	1.374 \| good	0.144 \| good
2026-10-06T23:00:00.000Z	52 \| moderate	10.266 \| good	45.706 \| good	24.242 \| good	0.689 \| good	5.992 \| good	0.186 \| good
2026-10-07T00:00:00.000Z	58 \| moderate	13.473 \| fine	60.966 \| fine	25.922 \| good	0.719 \| good	11.381 \| good	0.23 \| good
2026-10-07T01:00:00.000Z	58 \| moderate	12.674 \| fine	57.121 \| fine	23.395 \| good	0.744 \| good	15.344 \| good	0.26 \| good
2026-10-07T02:00:00.000Z	56 \| moderate	12.423 \| fine	56.306 \| fine	20.723 \| good	0.756 \| good	17.45 \| good	0.276 \| good
2026-10-07T03:00:00.000Z	54 \| moderate	10.613 \| good	47.122 \| good	20.865 \| good	0.765 \| good	17.392 \| good	0.274 \| good
2026-10-07T04:00:00.000Z	49 \| good	9.352 \| good	41.822 \| good	20.633 \| good	0.778 \| good	14.698 \| good	0.255 \| good
2026-10-07T05:00:00.000Z	44 \| good	8.462 \| good	37.255 \| good	22.599 \| good	0.792 \| good	11.577 \| good	0.235 \| good
2026-10-07T06:00:00.000Z	49 \| good	8.745 \| good	38.551 \| good	20.494 \| good	0.812 \| good	9.757 \| good	0.22 \| good
2026-10-07T07:00:00.000Z	49 \| good	8.671 \| good	38.244 \| good	18.484 \| good	0.836 \| good	8.748 \| good	0.21 \| good
2026-10-07T08:00:00.000Z	52 \| moderate	10.239 \| good	45.448 \| good	19.156 \| good	0.87 \| good	7.999 \| good	0.203 \| good
2026-10-07T09:00:00.000Z	52 \| moderate	9.958 \| good	44.285 \| good	19.028 \| good	0.919 \| good	7.289 \| good	0.195 \| good
2026-10-07T10:00:00.000Z	54 \| moderate	10.635 \| good	47.184 \| good	15.232 \| good	0.984 \| good	6.699 \| good	0.189 \| good
2026-10-07T11:00:00.000Z	54 \| moderate	11.044 \| good	48.449 \| good	10.925 \| good	1.061 \| good	6.503 \| good	0.187 \| good
2026-10-07T12:00:00.000Z	54 \| moderate	11.129 \| good	49.206 \| good	12.936 \| good	1.131 \| good	7.173 \| good	0.193 \| good
2026-10-07T13:00:00.000Z	49 \| good	9.18 \| good	41.215 \| good	18.151 \| good	1.195 \| good	6.16 \| good	0.201 \| good
2026-10-07T14:00:00.000Z	49 \| good	8.828 \| good	38.913 \| good	22.646 \| good	1.249 \| good	5.298 \| good	0.203 \| good
2026-10-07T15:00:00.000Z	49 \| good	8.913 \| good	39.239 \| good	29.619 \| good	1.376 \| good	4.088 \| good	0.19 \| good
2026-10-07T16:00:00.000Z	49 \| good	8.761 \| good	38.317 \| good	36.878 \| good	1.365 \| good	2.663 \| good	0.171 \| good
2026-10-07T17:00:00.000Z	49 \| good	9.199 \| good	41.1 \| good	42.271 \| good	1.16 \| good	1.727 \| good	0.161 \| good
2026-10-07T18:00:00.000Z	52 \| moderate	9.89 \| good	44.235 \| good	46.629 \| good	1.049 \| good	1.282 \| good	0.159 \| good
2026-10-07T19:00:00.000Z	52 \| moderate	10.421 \| good	46.186 \| good	47.291 \| good	1.045 \| good	1.084 \| good	0.159 \| good
2026-10-07T20:00:00.000Z	54 \| moderate	10.757 \| good	47.602 \| good	49.97 \| good	1.073 \| good	1.043 \| good	0.161 \| good
2026-10-07T21:00:00.000Z	54 \| moderate	10.809 \| good	48.011 \| good	49.335 \| good	1.088 \| good	1.182 \| good	0.163 \| good
2026-10-07T22:00:00.000Z	52 \| moderate	10.089 \| good	44.778 \| good	40.335 \| good	1.069 \| good	2.238 \| good	0.173 \| good
2026-10-07T23:00:00.000Z	54 \| moderate	10.785 \| good	47.964 \| good	29.714 \| good	1.051 \| good	4.372 \| good	0.191 \| good
2026-10-08T00:00:00.000Z	60 \| moderate	14.444 \| fine	64.824 \| fine	33.202 \| good	1.061 \| good	5.733 \| good	0.201 \| good
2026-10-08T01:00:00.000Z	56 \| moderate	12.464 \| fine	56.026 \| fine	35.119 \| good	1.096 \| good	5.98 \| good	0.2 \| good
2026-10-08T02:00:00.000Z	56 \| moderate	12.455 \| fine	56.017 \| fine	30.346 \| good	1.12 \| good	5.946 \| good	0.198 \| good
2026-10-08T03:00:00.000Z	58 \| moderate	12.928 \| fine	58.064 \| fine	25.711 \| good	1.124 \| good	6.131 \| good	0.199 \| good
2026-10-08T04:00:00.000Z	58 \| moderate	13.5 \| fine	61.255 \| fine	19.199 \| good	1.1 \| good	6.401 \| good	0.203 \| good
2026-10-08T05:00:00.000Z	60 \| moderate	14.317 \| fine	64.621 \| fine	18.219 \| good	1.036 \| good	6.387 \| good	0.205 \| good
2026-10-08T06:00:00.000Z	64 \| moderate	16.394 \| fine	72.816 \| fine	16.065 \| good	0.947 \| good	6.43 \| good	0.206 \| good
2026-10-08T07:00:00.000Z	69 \| moderate	18.827 \| fine	83.209 \| fine	14.749 \| good	0.865 \| good	6.56 \| good	0.206 \| good
2026-10-08T08:00:00.000Z	64 \| moderate	15.796 \| fine	70.14 \| fine	14.848 \| good	0.806 \| good	6.797 \| good	0.207 \| good

Bexley

Empower business decisions with accurate air quality data

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

0.13ppm

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 06:00:00, 2026-10-06.

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

The best air quality in Bexley, Ohio was observed at 09:00:00 on 2026-10-05.

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

The air quality in Bexley, Ohio right now is Good, with an AQI of 49.

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 8.831 μg/m³.

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

Bexley, Ohio currently has a PM₁₀ concentration of 21.671 μg/m³.

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

The current carbon monoxide (CO) level in Bexley, Ohio is 0.164 ppm.

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

The current sulfur dioxide (SO₂) concentration in Bexley, Ohio is 1.438 ppb.

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

Bexley, Ohio currently has an ozone (O₃) concentration of 14.002 ppm.

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

The current level of nitrogen dioxide (NO₂) in Bexley, Ohio is 11.234 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-06T02:00:00.000Z	27 \| good	5.129 \| good	19.861 \| good	25.463 \| good	2.115 \| good	19.88 \| good	0.478 \| good
2026-10-06T03:00:00.000Z	52 \| moderate	10.309 \| good	45.689 \| good	10.639 \| good	0.61 \| good	11.843 \| good	0.212 \| good
2026-10-06T04:00:00.000Z	49 \| good	9.181 \| good	28.052 \| good	20.101 \| good	1.36 \| good	17.651 \| good	0.405 \| good
2026-10-06T05:00:00.000Z	49 \| good	9.273 \| good	25.361 \| good	15.389 \| good	1.331 \| good	16.089 \| good	0.317 \| good
2026-10-06T06:00:00.000Z	52 \| moderate	10.034 \| good	24.485 \| good	16.1 \| good	1.446 \| good	12.957 \| good	0.244 \| good
2026-10-06T07:00:00.000Z	49 \| good	8.831 \| good	21.671 \| good	14.002 \| good	1.438 \| good	11.234 \| good	0.164 \| good
2026-10-06T08:00:00.000Z	49 \| good	8.646 \| good	23.05 \| good	15.215 \| good	1.013 \| good	13.084 \| good	0.145 \| good
2026-10-06T09:00:00.000Z	49 \| good	8.615 \| good	21.089 \| good	13.156 \| good	1.285 \| good	12.946 \| good	0.151 \| good
2026-10-06T10:00:00.000Z	49 \| good	9.45 \| good	21.349 \| good	13.07 \| good	1.206 \| good	12.545 \| good	0.158 \| good
2026-10-06T11:00:00.000Z	49 \| good	9.353 \| good	22.86 \| good	8.864 \| good	1.127 \| good	12.072 \| good	0.256 \| good
2026-10-06T12:00:00.000Z	52 \| moderate	9.888 \| good	28.667 \| good	8.913 \| good	1.318 \| good	14.766 \| good	0.303 \| good
2026-10-06T13:00:00.000Z	54 \| moderate	10.508 \| good	39.377 \| good	8.437 \| good	1.558 \| good	13.91 \| good	0.547 \| good
2026-10-06T14:00:00.000Z	58 \| moderate	12.718 \| fine	56.466 \| fine	10.103 \| good	1.762 \| good	13.076 \| good	0.499 \| good
2026-10-06T15:00:00.000Z	56 \| moderate	12.422 \| fine	57.871 \| fine	15.795 \| good	2.121 \| good	16.464 \| good	0.335 \| good
2026-10-06T16:00:00.000Z	52 \| moderate	10.379 \| good	53.147 \| good	13.431 \| good	1.937 \| good	19.88 \| good	0.234 \| good
2026-10-06T17:00:00.000Z	44 \| good	8.378 \| good	47.172 \| good	25.352 \| good	2.838 \| good	16.956 \| good	0.206 \| good
2026-10-06T18:00:00.000Z	34 \| good	6.397 \| good	37.31 \| good	29.396 \| good	1.477 \| good	14.323 \| good	0.126 \| good
2026-10-06T19:00:00.000Z	33 \| good	5.329 \| good	31.857 \| good	35.753 \| good	1.136 \| good	12.484 \| good	0.119 \| good
2026-10-06T20:00:00.000Z	36 \| good	4.903 \| good	29.563 \| good	38.98 \| good	1.341 \| good	11.36 \| good	0.235 \| good
2026-10-06T21:00:00.000Z	38 \| good	4.453 \| good	27.158 \| good	40.54 \| good	1.699 \| good	11.342 \| good	0.126 \| good
2026-10-06T22:00:00.000Z	37 \| good	4.146 \| good	25.071 \| good	39.872 \| good	0.915 \| good	13.302 \| good	0.133 \| good
2026-10-06T23:00:00.000Z	36 \| good	4.102 \| good	24.564 \| good	39.301 \| good	1.056 \| good	14.699 \| good	0.22 \| good
2026-10-07T00:00:00.000Z	38 \| good	5.092 \| good	41.001 \| good	36.1 \| good	0.903 \| good	18.853 \| good	0.286 \| good
2026-10-07T01:00:00.000Z	47 \| good	6.798 \| good	51.386 \| good	29.945 \| good	0.881 \| good	25.774 \| good	0.386 \| good
2026-10-07T02:00:00.000Z	49 \| good	8.173 \| good	52.986 \| good	27.832 \| good	0.936 \| good	31.63 \| good	0.408 \| good
2026-10-07T03:00:00.000Z	52 \| moderate	9.546 \| good	42.766 \| good	19.381 \| good	0.769 \| good	14.911 \| good	0.259 \| good
2026-10-07T04:00:00.000Z	49 \| good	9.212 \| good	48.075 \| good	26.449 \| good	1.404 \| good	26.331 \| good	0.241 \| good
2026-10-07T05:00:00.000Z	44 \| good	8.077 \| good	37.074 \| good	19.564 \| good	1.548 \| good	19.054 \| good	0.314 \| good
2026-10-07T06:00:00.000Z	44 \| good	8.067 \| good	33.929 \| good	16.479 \| good	1.682 \| good	20.334 \| good	0.233 \| good
2026-10-07T07:00:00.000Z	49 \| good	8.552 \| good	31.835 \| good	18.888 \| good	1.673 \| good	15.988 \| good	0.16 \| good
2026-10-07T08:00:00.000Z	49 \| good	9.156 \| good	36.01 \| good	21.125 \| good	1.309 \| good	14.881 \| good	0.147 \| good
2026-10-07T09:00:00.000Z	44 \| good	8.403 \| good	30.788 \| good	14.913 \| good	0.796 \| good	12.832 \| good	0.279 \| good
2026-10-07T10:00:00.000Z	44 \| good	7.995 \| good	24.384 \| good	14.868 \| good	0.855 \| good	11.511 \| good	0.147 \| good
2026-10-07T11:00:00.000Z	44 \| good	8.155 \| good	25.443 \| good	12.434 \| good	1.032 \| good	11.331 \| good	0.233 \| good
2026-10-07T12:00:00.000Z	44 \| good	7.635 \| good	25.286 \| good	16.238 \| good	1.044 \| good	14.01 \| good	0.246 \| good
2026-10-07T13:00:00.000Z	44 \| good	7.574 \| good	27.114 \| good	15.831 \| good	1.166 \| good	17.475 \| good	0.255 \| good
2026-10-07T14:00:00.000Z	49 \| good	9.032 \| good	47.174 \| good	15.456 \| good	1.09 \| good	16.959 \| good	0.422 \| good
2026-10-07T15:00:00.000Z	49 \| good	8.534 \| good	49.296 \| good	18.705 \| good	1.237 \| good	22.412 \| good	0.241 \| good
2026-10-07T16:00:00.000Z	49 \| good	8.564 \| good	51.065 \| good	25.149 \| good	1.871 \| good	16.04 \| good	0.147 \| good
2026-10-07T17:00:00.000Z	46 \| good	8.093 \| good	50.361 \| good	27.214 \| good	3.113 \| good	13.507 \| good	0.119 \| good
2026-10-07T18:00:00.000Z	41 \| good	6.956 \| good	43.584 \| good	32.343 \| good	3.068 \| good	13.794 \| good	0.197 \| good
2026-10-07T19:00:00.000Z	36 \| good	5.82 \| good	35.25 \| good	38.581 \| good	0.949 \| good	13.016 \| good	0.203 \| good
2026-10-07T20:00:00.000Z	44 \| good	5.046 \| good	33.234 \| good	46.822 \| good	0.903 \| good	12.001 \| good	0.198 \| good
2026-10-07T21:00:00.000Z	45 \| good	4.928 \| good	32.604 \| good	48.742 \| good	1.553 \| good	13.299 \| good	0.198 \| good
2026-10-07T22:00:00.000Z	47 \| good	4.893 \| good	33.967 \| good	50.928 \| good	1.48 \| good	11.627 \| good	0.201 \| good
2026-10-07T23:00:00.000Z	46 \| good	5.109 \| good	32.365 \| good	50.092 \| good	1.099 \| good	13.465 \| good	0.132 \| good
2026-10-08T00:00:00.000Z	47 \| good	5.163 \| good	30.334 \| good	51.36 \| good	0.901 \| good	14.632 \| good	0.125 \| good
2026-10-08T01:00:00.000Z	45 \| good	5.644 \| good	29.816 \| good	49.497 \| good	1 \| good	17.886 \| good	0.126 \| good
2026-10-08T01:00:00.000Z	47 \| good	5.163 \| good	30.334 \| good	51.36 \| good	0.901 \| good	14.632 \| good	0.125 \| good
2026-10-06T09:00:00.000Z	44 \| good	8.061 \| good	35.218 \| good	11.064 \| good	0.646 \| good	9.202 \| good	0.198 \| good
2026-10-06T10:00:00.000Z	49 \| good	9.105 \| good	40.311 \| good	9.778 \| good	0.662 \| good	9.49 \| good	0.199 \| good
2026-10-06T11:00:00.000Z	54 \| moderate	10.653 \| good	47.359 \| good	3.458 \| good	0.682 \| good	9.897 \| good	0.202 \| good
2026-10-06T12:00:00.000Z	58 \| moderate	13.224 \| fine	58.95 \| fine	5.192 \| good	0.718 \| good	10.277 \| good	0.215 \| good
2026-10-06T13:00:00.000Z	56 \| moderate	11.529 \| good	51.111 \| good	14.784 \| good	0.711 \| good	7.365 \| good	0.221 \| good
2026-10-06T14:00:00.000Z	49 \| good	9.016 \| good	39.835 \| good	21.117 \| good	0.873 \| good	4.79 \| good	0.193 \| good
2026-10-06T15:00:00.000Z	33 \| good	5.854 \| good	25.361 \| good	26.327 \| good	1.074 \| good	3.03 \| good	0.166 \| good
2026-10-06T16:00:00.000Z	28 \| good	5.352 \| good	23.21 \| good	30.087 \| good	1.006 \| good	1.698 \| good	0.149 \| good
2026-10-06T17:00:00.000Z	31 \| good	4.922 \| good	21.522 \| good	34.052 \| good	0.877 \| good	1.126 \| good	0.143 \| good
2026-10-06T18:00:00.000Z	35 \| good	5.264 \| good	22.693 \| good	37.708 \| good	0.815 \| good	0.937 \| good	0.142 \| good
2026-10-06T19:00:00.000Z	36 \| good	5.579 \| good	24.251 \| good	39.285 \| good	0.78 \| good	0.873 \| good	0.141 \| good
2026-10-06T20:00:00.000Z	36 \| good	5.785 \| good	25.49 \| good	39.416 \| good	0.754 \| good	0.877 \| good	0.141 \| good
2026-10-06T21:00:00.000Z	38 \| good	5.509 \| good	23.826 \| good	41.386 \| good	0.736 \| good	0.987 \| good	0.141 \| good
2026-10-06T22:00:00.000Z	44 \| good	7.764 \| good	34.076 \| good	34.804 \| good	0.727 \| good	1.374 \| good	0.144 \| good
2026-10-06T23:00:00.000Z	52 \| moderate	10.266 \| good	45.706 \| good	24.242 \| good	0.689 \| good	5.992 \| good	0.186 \| good
2026-10-07T00:00:00.000Z	58 \| moderate	13.473 \| fine	60.966 \| fine	25.922 \| good	0.719 \| good	11.381 \| good	0.23 \| good
2026-10-07T01:00:00.000Z	58 \| moderate	12.674 \| fine	57.121 \| fine	23.395 \| good	0.744 \| good	15.344 \| good	0.26 \| good
2026-10-07T02:00:00.000Z	56 \| moderate	12.423 \| fine	56.306 \| fine	20.723 \| good	0.756 \| good	17.45 \| good	0.276 \| good
2026-10-07T03:00:00.000Z	54 \| moderate	10.613 \| good	47.122 \| good	20.865 \| good	0.765 \| good	17.392 \| good	0.274 \| good
2026-10-07T04:00:00.000Z	49 \| good	9.352 \| good	41.822 \| good	20.633 \| good	0.778 \| good	14.698 \| good	0.255 \| good
2026-10-07T05:00:00.000Z	44 \| good	8.462 \| good	37.255 \| good	22.599 \| good	0.792 \| good	11.577 \| good	0.235 \| good
2026-10-07T06:00:00.000Z	49 \| good	8.745 \| good	38.551 \| good	20.494 \| good	0.812 \| good	9.757 \| good	0.22 \| good
2026-10-07T07:00:00.000Z	49 \| good	8.671 \| good	38.244 \| good	18.484 \| good	0.836 \| good	8.748 \| good	0.21 \| good
2026-10-07T08:00:00.000Z	52 \| moderate	10.239 \| good	45.448 \| good	19.156 \| good	0.87 \| good	7.999 \| good	0.203 \| good
2026-10-07T09:00:00.000Z	52 \| moderate	9.958 \| good	44.285 \| good	19.028 \| good	0.919 \| good	7.289 \| good	0.195 \| good
2026-10-07T10:00:00.000Z	54 \| moderate	10.635 \| good	47.184 \| good	15.232 \| good	0.984 \| good	6.699 \| good	0.189 \| good
2026-10-07T11:00:00.000Z	54 \| moderate	11.044 \| good	48.449 \| good	10.925 \| good	1.061 \| good	6.503 \| good	0.187 \| good
2026-10-07T12:00:00.000Z	54 \| moderate	11.129 \| good	49.206 \| good	12.936 \| good	1.131 \| good	7.173 \| good	0.193 \| good
2026-10-07T13:00:00.000Z	49 \| good	9.18 \| good	41.215 \| good	18.151 \| good	1.195 \| good	6.16 \| good	0.201 \| good
2026-10-07T14:00:00.000Z	49 \| good	8.828 \| good	38.913 \| good	22.646 \| good	1.249 \| good	5.298 \| good	0.203 \| good
2026-10-07T15:00:00.000Z	49 \| good	8.913 \| good	39.239 \| good	29.619 \| good	1.376 \| good	4.088 \| good	0.19 \| good
2026-10-07T16:00:00.000Z	49 \| good	8.761 \| good	38.317 \| good	36.878 \| good	1.365 \| good	2.663 \| good	0.171 \| good
2026-10-07T17:00:00.000Z	49 \| good	9.199 \| good	41.1 \| good	42.271 \| good	1.16 \| good	1.727 \| good	0.161 \| good
2026-10-07T18:00:00.000Z	52 \| moderate	9.89 \| good	44.235 \| good	46.629 \| good	1.049 \| good	1.282 \| good	0.159 \| good
2026-10-07T19:00:00.000Z	52 \| moderate	10.421 \| good	46.186 \| good	47.291 \| good	1.045 \| good	1.084 \| good	0.159 \| good
2026-10-07T20:00:00.000Z	54 \| moderate	10.757 \| good	47.602 \| good	49.97 \| good	1.073 \| good	1.043 \| good	0.161 \| good
2026-10-07T21:00:00.000Z	54 \| moderate	10.809 \| good	48.011 \| good	49.335 \| good	1.088 \| good	1.182 \| good	0.163 \| good
2026-10-07T22:00:00.000Z	52 \| moderate	10.089 \| good	44.778 \| good	40.335 \| good	1.069 \| good	2.238 \| good	0.173 \| good
2026-10-07T23:00:00.000Z	54 \| moderate	10.785 \| good	47.964 \| good	29.714 \| good	1.051 \| good	4.372 \| good	0.191 \| good
2026-10-08T00:00:00.000Z	60 \| moderate	14.444 \| fine	64.824 \| fine	33.202 \| good	1.061 \| good	5.733 \| good	0.201 \| good
2026-10-08T01:00:00.000Z	56 \| moderate	12.464 \| fine	56.026 \| fine	35.119 \| good	1.096 \| good	5.98 \| good	0.2 \| good
2026-10-08T02:00:00.000Z	56 \| moderate	12.455 \| fine	56.017 \| fine	30.346 \| good	1.12 \| good	5.946 \| good	0.198 \| good
2026-10-08T03:00:00.000Z	58 \| moderate	12.928 \| fine	58.064 \| fine	25.711 \| good	1.124 \| good	6.131 \| good	0.199 \| good
2026-10-08T04:00:00.000Z	58 \| moderate	13.5 \| fine	61.255 \| fine	19.199 \| good	1.1 \| good	6.401 \| good	0.203 \| good
2026-10-08T05:00:00.000Z	60 \| moderate	14.317 \| fine	64.621 \| fine	18.219 \| good	1.036 \| good	6.387 \| good	0.205 \| good
2026-10-08T06:00:00.000Z	64 \| moderate	16.394 \| fine	72.816 \| fine	16.065 \| good	0.947 \| good	6.43 \| good	0.206 \| good
2026-10-08T07:00:00.000Z	69 \| moderate	18.827 \| fine	83.209 \| fine	14.749 \| good	0.865 \| good	6.56 \| good	0.206 \| good
2026-10-08T08:00:00.000Z	64 \| moderate	15.796 \| fine	70.14 \| fine	14.848 \| good	0.806 \| good	6.797 \| good	0.207 \| 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

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Upper Arlington, Ohio

Worthington, Ohio

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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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