What is the current concentration of PM10 in Garfield Heights, Ohio?

The current PM10 concentration at Garfield Heights, Ohio is 53.041 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Garfield Heights, Ohio?

The current sulfur dioxide (SO2) concentration at Garfield Heights, Ohio is 1.107 ppb.

What is the current concentration of ozone (O3) in Garfield Heights, Ohio?

The current ozone (O3) concentration at Garfield Heights, Ohio is 52.197 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Garfield Heights, Ohio?

The current nitrogen dioxide (NO2) concentration at Garfield Heights, Ohio is 4.453 ppb.

Garfield Heights, Ohio live air quality index now

Q: What is the current concentration of PM2.5 in Garfield Heights, Ohio?

The current PM2.5 concentration at Garfield Heights, Ohio is 6.287 μg/m3.

Stay updated with real-time air quality in Garfield Heights, 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

Garfield Heights, Ohio

Last updated: ... (Local time)

Major air pollutants in Garfield Heights, Ohio

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.01 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

37.75 μg/m³

155

255

425

605+

Ozone (O₃)

50.84 ppb

201

201+

Sulfur Dioxide (SO₂)

1.08 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.55 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Garfield Heights, Ohio

Get Live Pollen Counts

Garfield Heights, Ohio

Scroll To Air Quality Map

Track live Garfield Heights, Ohio air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-06T01:00:00.000Z	31 \| good	2.743 \| good	9.748 \| good	33.668 \| good	0.962 \| good	5.141 \| good	0.215 \| good
2026-10-06T02:00:00.000Z	30 \| good	2.77 \| good	9.445 \| good	31.925 \| good	0.962 \| good	5.524 \| good	0.308 \| good
2026-10-06T03:00:00.000Z	27 \| good	4.953 \| good	21.622 \| good	12.513 \| good	0.822 \| good	10.013 \| good	0.197 \| good
2026-10-06T04:00:00.000Z	26 \| good	3.169 \| good	10.221 \| good	28.113 \| good	0.981 \| good	9.174 \| good	0.306 \| good
2026-10-06T05:00:00.000Z	22 \| good	3.787 \| good	11.387 \| good	19.379 \| good	1.003 \| good	9.79 \| good	0.303 \| good
2026-10-06T06:00:00.000Z	22 \| good	4.297 \| good	12.783 \| good	15.284 \| good	1.77 \| good	8.697 \| good	0.387 \| good
2026-10-06T07:00:00.000Z	27 \| good	4.772 \| good	13.701 \| good	10.89 \| good	2.516 \| good	8.269 \| good	0.386 \| good
2026-10-06T08:00:00.000Z	27 \| good	5.266 \| good	14.445 \| good	8.929 \| good	1.001 \| good	10.841 \| good	0.377 \| good
2026-10-06T09:00:00.000Z	27 \| good	5.307 \| good	16.59 \| good	7.732 \| good	1.007 \| good	11.742 \| good	0.38 \| good
2026-10-06T10:00:00.000Z	27 \| good	5.24 \| good	15.024 \| good	6.606 \| good	1.029 \| good	12.578 \| good	0.38 \| good
2026-10-06T11:00:00.000Z	27 \| good	5.248 \| good	16.178 \| good	5.46 \| good	1.005 \| good	14.338 \| good	0.391 \| good
2026-10-06T12:00:00.000Z	33 \| good	5.831 \| good	19.347 \| good	6.478 \| good	1.051 \| good	18.312 \| good	0.485 \| good
2026-10-06T13:00:00.000Z	52 \| moderate	10.121 \| good	38.431 \| good	10.104 \| good	1.146 \| good	20.622 \| good	0.506 \| good
2026-10-06T14:00:00.000Z	58 \| moderate	11.155 \| good	69.808 \| fine	9.05 \| good	1.894 \| good	19.665 \| good	0.403 \| good
2026-10-06T15:00:00.000Z	65 \| moderate	16.003 \| fine	82.79 \| fine	15.993 \| good	4.178 \| good	17.21 \| good	0.299 \| good
2026-10-06T16:00:00.000Z	56 \| moderate	11.56 \| good	66.272 \| fine	19.663 \| good	2.637 \| good	11.619 \| good	0.204 \| good
2026-10-06T17:00:00.000Z	49 \| good	8.567 \| good	51.219 \| good	22.332 \| good	1.863 \| good	10.845 \| good	0.288 \| good
2026-10-06T18:00:00.000Z	34 \| good	6.246 \| good	36.564 \| good	25.837 \| good	1.069 \| good	7.435 \| good	0.195 \| good
2026-10-06T19:00:00.000Z	29 \| good	4.833 \| good	26.686 \| good	30.586 \| good	1.032 \| good	6.702 \| good	0.195 \| good
2026-10-06T20:00:00.000Z	31 \| good	4.278 \| good	24.644 \| good	34.149 \| good	1.014 \| good	7.546 \| good	0.2 \| good
2026-10-06T21:00:00.000Z	34 \| good	4.075 \| good	22.38 \| good	37.131 \| good	1.033 \| good	5.844 \| good	0.198 \| good
2026-10-06T22:00:00.000Z	35 \| good	3.937 \| good	20.137 \| good	38.428 \| good	1.05 \| good	4.596 \| good	0.197 \| good
2026-10-06T23:00:00.000Z	33 \| good	3.871 \| good	18.163 \| good	36.232 \| good	1.065 \| good	6.688 \| good	0.202 \| good
2026-10-07T00:00:00.000Z	34 \| good	4.099 \| good	16.625 \| good	36.758 \| good	1.046 \| good	8.26 \| good	0.204 \| good
2026-10-07T01:00:00.000Z	32 \| good	4.52 \| good	17.887 \| good	35.288 \| good	1.027 \| good	12.621 \| good	0.3 \| good
2026-10-07T02:00:00.000Z	32 \| good	4.804 \| good	18.876 \| good	34.771 \| good	1.339 \| good	14.742 \| good	0.476 \| good
2026-10-07T03:00:00.000Z	44 \| good	8.361 \| good	36.786 \| good	18.432 \| good	0.81 \| good	7.936 \| good	0.212 \| good
2026-10-07T04:00:00.000Z	28 \| good	4.979 \| good	18.035 \| good	29.891 \| good	1.999 \| good	15.121 \| good	0.379 \| good
2026-10-07T05:00:00.000Z	27 \| good	5.267 \| good	17.64 \| good	28.908 \| good	1.889 \| good	17.486 \| good	0.294 \| good
2026-10-07T06:00:00.000Z	33 \| good	5.508 \| good	17.506 \| good	28.358 \| good	2.619 \| good	17.738 \| good	0.292 \| good
2026-10-07T07:00:00.000Z	33 \| good	5.786 \| good	17.631 \| good	25.125 \| good	3.356 \| good	18.2 \| good	0.29 \| good
2026-10-07T08:00:00.000Z	33 \| good	5.531 \| good	15.711 \| good	21.873 \| good	1.794 \| good	12.31 \| good	0.286 \| good
2026-10-07T09:00:00.000Z	33 \| good	5.783 \| good	17.994 \| good	23.007 \| good	1.009 \| good	13.16 \| good	0.379 \| good
2026-10-07T10:00:00.000Z	33 \| good	5.94 \| good	19.388 \| good	25.563 \| good	0.972 \| good	15.576 \| good	0.285 \| good
2026-10-07T11:00:00.000Z	33 \| good	6 \| good	22.024 \| good	20.349 \| good	1.013 \| good	15.672 \| good	0.381 \| good
2026-10-07T12:00:00.000Z	33 \| good	6.308 \| good	24.7 \| good	28.102 \| good	1.012 \| good	5.379 \| good	0.291 \| good
2026-10-07T13:00:00.000Z	38 \| good	7.018 \| good	32.631 \| good	26.092 \| good	1.067 \| good	25.834 \| good	0.292 \| good
2026-10-07T14:00:00.000Z	44 \| good	7.746 \| good	43.758 \| good	21.75 \| good	1.848 \| good	22.723 \| good	0.565 \| good
2026-10-07T15:00:00.000Z	44 \| good	7.615 \| good	47.201 \| good	22.528 \| good	2.819 \| good	22.058 \| good	0.29 \| good
2026-10-07T16:00:00.000Z	41 \| good	6.723 \| good	44.328 \| good	30.897 \| good	2.708 \| good	5.59 \| good	0.199 \| good
2026-10-07T17:00:00.000Z	49 \| good	6.601 \| good	52.99 \| good	33.846 \| good	1.925 \| good	7.427 \| good	0.199 \| good
2026-10-07T18:00:00.000Z	46 \| good	6.212 \| good	50.048 \| good	37.742 \| good	1.906 \| good	6.07 \| good	0.202 \| good
2026-10-07T19:00:00.000Z	44 \| good	6.032 \| good	48.403 \| good	45.653 \| good	1.906 \| good	6.026 \| good	0.203 \| good
2026-10-07T20:00:00.000Z	46 \| good	6.09 \| good	50.124 \| good	48.232 \| good	1.125 \| good	6.807 \| good	0.202 \| good
2026-10-07T21:00:00.000Z	50 \| good	6.262 \| good	54.048 \| good	50.05 \| good	1.107 \| good	4.911 \| good	0.203 \| good
2026-10-07T22:00:00.000Z	49 \| good	6.287 \| good	53.041 \| good	52.197 \| good	1.107 \| good	4.453 \| good	0.203 \| good
2026-10-07T23:00:00.000Z	46 \| good	6.17 \| good	45.055 \| good	50.432 \| good	1.084 \| good	4.472 \| good	0.201 \| good
2026-10-08T00:00:00.000Z	47 \| good	6.009 \| good	37.747 \| good	50.844 \| good	1.085 \| good	5.553 \| good	0.201 \| good
2026-10-08T00:00:00.000Z	47 \| good	6.009 \| good	37.747 \| good	50.844 \| good	1.085 \| good	5.553 \| good	0.201 \| good
2026-10-08T00:00:00.000Z	54 \| moderate	10.811 \| good	47.837 \| good	34.287 \| good	0.906 \| good	4.827 \| good	0.188 \| good
2026-10-08T01:00:00.000Z	49 \| good	9.334 \| good	41.364 \| good	36.52 \| good	0.908 \| good	4.923 \| good	0.189 \| good
2026-10-08T02:00:00.000Z	56 \| moderate	11.528 \| good	51.022 \| good	33.137 \| good	0.883 \| good	4.46 \| good	0.187 \| good
2026-10-08T03:00:00.000Z	49 \| good	9.278 \| good	40.988 \| good	29.546 \| good	0.852 \| good	4.143 \| good	0.183 \| good
2026-10-08T04:00:00.000Z	33 \| good	6.307 \| good	27.485 \| good	26.372 \| good	0.819 \| good	3.796 \| good	0.174 \| good
2026-10-08T05:00:00.000Z	27 \| good	4.684 \| good	20.372 \| good	23.349 \| good	0.745 \| good	3.49 \| good	0.164 \| good
2026-10-08T06:00:00.000Z	27 \| good	4.905 \| good	21.338 \| good	22.062 \| good	0.71 \| good	3.511 \| good	0.16 \| good
2026-10-08T07:00:00.000Z	27 \| good	5.33 \| good	23.11 \| good	19.674 \| good	0.694 \| good	3.793 \| good	0.16 \| good
2026-10-08T08:00:00.000Z	33 \| good	5.583 \| good	24.414 \| good	18.601 \| good	0.679 \| good	4.104 \| good	0.163 \| good
2026-10-08T09:00:00.000Z	27 \| good	4.97 \| good	21.671 \| good	13.997 \| good	0.666 \| good	4.16 \| good	0.166 \| good
2026-10-08T10:00:00.000Z	22 \| good	4.326 \| good	18.864 \| good	10.565 \| good	0.644 \| good	4.154 \| good	0.169 \| good
2026-10-08T11:00:00.000Z	38 \| good	7.236 \| good	31.767 \| good	7.83 \| good	0.621 \| good	4.427 \| good	0.173 \| good
2026-10-08T12:00:00.000Z	44 \| good	8.075 \| good	35.715 \| good	11.075 \| good	0.622 \| good	5.557 \| good	0.181 \| good
2026-10-08T13:00:00.000Z	44 \| good	7.575 \| good	33.112 \| good	16.064 \| good	0.658 \| good	5.387 \| good	0.192 \| good
2026-10-08T14:00:00.000Z	27 \| good	5.159 \| good	22.323 \| good	26.14 \| good	0.783 \| good	4.144 \| good	0.182 \| good
2026-10-08T15:00:00.000Z	30 \| good	4.479 \| good	19.566 \| good	31.818 \| good	0.882 \| good	2.938 \| good	0.166 \| good
2026-10-08T16:00:00.000Z	32 \| good	3.743 \| good	16.397 \| good	35.268 \| good	0.861 \| good	1.949 \| good	0.152 \| good
2026-10-08T17:00:00.000Z	35 \| good	3.623 \| good	15.817 \| good	37.512 \| good	0.86 \| good	1.582 \| good	0.147 \| good
2026-10-08T18:00:00.000Z	36 \| good	3.91 \| good	17.185 \| good	39.049 \| good	0.887 \| good	1.443 \| good	0.144 \| good
2026-10-08T19:00:00.000Z	37 \| good	4.291 \| good	18.827 \| good	40.331 \| good	0.89 \| good	1.391 \| good	0.143 \| good
2026-10-08T20:00:00.000Z	37 \| good	3.26 \| good	14.22 \| good	39.845 \| good	0.897 \| good	1.4 \| good	0.143 \| good
2026-10-08T21:00:00.000Z	36 \| good	1.063 \| good	4.348 \| good	38.997 \| good	0.903 \| good	1.559 \| good	0.143 \| good
2026-10-08T22:00:00.000Z	32 \| good	1.26 \| good	5.114 \| good	34.812 \| good	0.888 \| good	2.243 \| good	0.148 \| good
2026-10-08T23:00:00.000Z	25 \| good	2.374 \| good	9.836 \| good	26.673 \| good	0.895 \| good	4.169 \| good	0.164 \| good
2026-10-09T00:00:00.000Z	22 \| good	4.228 \| good	18.205 \| good	17.161 \| good	0.881 \| good	7.134 \| good	0.188 \| good
2026-10-09T01:00:00.000Z	16 \| good	3.401 \| good	14.438 \| good	14.145 \| good	0.902 \| good	9.741 \| good	0.206 \| good
2026-10-09T02:00:00.000Z	16 \| good	2.739 \| good	11.09 \| good	16.139 \| good	0.911 \| good	11.137 \| good	0.213 \| good
2026-10-09T03:00:00.000Z	18 \| good	2.936 \| good	12.371 \| good	19.004 \| good	0.903 \| good	11.444 \| good	0.213 \| good
2026-10-09T04:00:00.000Z	19 \| good	2.684 \| good	11.467 \| good	21.209 \| good	0.879 \| good	10.284 \| good	0.204 \| good
2026-10-09T05:00:00.000Z	18 \| good	2.808 \| good	11.918 \| good	19.144 \| good	0.855 \| good	8.304 \| good	0.189 \| good
2026-10-09T06:00:00.000Z	22 \| good	3.611 \| good	15.205 \| good	15.609 \| good	0.828 \| good	6.895 \| good	0.176 \| good
2026-10-09T07:00:00.000Z	22 \| good	3.907 \| good	17.065 \| good	12.361 \| good	0.808 \| good	6.086 \| good	0.168 \| good
2026-10-09T08:00:00.000Z	22 \| good	3.746 \| good	16.162 \| good	11.037 \| good	0.798 \| good	5.798 \| good	0.164 \| good
2026-10-09T09:00:00.000Z	16 \| good	3.192 \| good	13.428 \| good	8.558 \| good	0.798 \| good	5.838 \| good	0.164 \| good
2026-10-09T10:00:00.000Z	27 \| good	5.079 \| good	22.103 \| good	5.602 \| good	0.812 \| good	6.166 \| good	0.166 \| good
2026-10-09T11:00:00.000Z	49 \| good	8.581 \| good	38.051 \| good	4.242 \| good	0.842 \| good	7.033 \| good	0.172 \| good
2026-10-09T12:00:00.000Z	56 \| moderate	12.188 \| fine	54.231 \| good	4.533 \| good	0.893 \| good	9.178 \| good	0.195 \| good
2026-10-09T13:00:00.000Z	56 \| moderate	12.252 \| fine	54.427 \| good	10.891 \| good	0.921 \| good	8.201 \| good	0.222 \| good
2026-10-09T14:00:00.000Z	33 \| good	6.494 \| good	28.366 \| good	23.131 \| good	1.263 \| good	5.258 \| good	0.188 \| good
2026-10-09T15:00:00.000Z	27 \| good	4.431 \| good	19.279 \| good	29.008 \| good	1.448 \| good	3.258 \| good	0.163 \| good
2026-10-09T16:00:00.000Z	26 \| good	3.519 \| good	15.416 \| good	28.001 \| good	1.432 \| good	2.436 \| good	0.156 \| good
2026-10-09T17:00:00.000Z	29 \| good	2.728 \| good	11.613 \| good	31.132 \| good	1.405 \| good	1.925 \| good	0.153 \| good
2026-10-09T18:00:00.000Z	31 \| good	2.564 \| good	10.479 \| good	33.006 \| good	1.388 \| good	1.61 \| good	0.151 \| good
2026-10-09T19:00:00.000Z	32 \| good	3.236 \| good	13.523 \| good	34.512 \| good	1.372 \| good	1.45 \| good	0.15 \| good
2026-10-09T20:00:00.000Z	31 \| good	4.734 \| good	20.526 \| good	33.257 \| good	1.382 \| good	1.448 \| good	0.15 \| good
2026-10-09T21:00:00.000Z	31 \| good	3.857 \| good	16.79 \| good	32.874 \| good	1.42 \| good	1.677 \| good	0.151 \| good
2026-10-09T22:00:00.000Z	33 \| good	6.058 \| good	26.568 \| good	25.866 \| good	1.456 \| good	2.471 \| good	0.157 \| good
2026-10-09T23:00:00.000Z	44 \| good	8.186 \| good	36.113 \| good	20.816 \| good	1.365 \| good	9.611 \| good	0.226 \| good

Garfield Heights

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Garfield Heights, Ohio air quality map: Track AQI near you

0.21ppm

How accurate is Ohio, USA air quality data?

Air quality data and pollutant measurements for Ohio, 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 Garfield Heights, Ohio updated?

The air quality for Garfield Heights, Ohio is updated every hour.

When was the worst air quality at Garfield Heights, Ohio in the last 24 hrs?

The worst air quality in Garfield Heights, Ohio in the last 24 hours was observed at 09:00:00 on 2026-10-07.

When was the best air quality at Garfield Heights, Ohio in the last 24 hrs?

In the last 24 hrs, the best air quality in Garfield Heights, Ohio was observed at 05:00:00 on 2026-10-07.

What is the current air quality in Garfield Heights, Ohio?

The current air quality in Garfield Heights, Ohio is 49, categorized as Good based on real-time data.

What pollutant is the most common in Garfield Heights, Ohio?

The most common pollutant in Garfield Heights, Ohio is PM10.

What should I do if the air quality in Garfield Heights, Ohio is poor?

If the air quality in Garfield Heights, Ohio is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Garfield Heights, Ohio?

The current PM_2.5 concentration at Garfield Heights, Ohio is 6.287 μg/m³.

What is the current concentration of PM₁₀ in Garfield Heights, Ohio?

The current PM₁₀ concentration at Garfield Heights, Ohio is 53.041 μg/m³.

What is the current concentration of carbon monoxide (CO) in Garfield Heights, Ohio?

The current carbon monoxide (CO) concentration at Garfield Heights, Ohio is 0.203 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Garfield Heights, Ohio?

The current sulfur dioxide (SO₂) concentration at Garfield Heights, Ohio is 1.107 ppb.

What is the current concentration of ozone (O₃) in Garfield Heights, Ohio?

The current ozone (O₃) concentration at Garfield Heights, Ohio is 52.197 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Garfield Heights, Ohio?

The current nitrogen dioxide (NO₂) concentration at Garfield Heights, Ohio is 4.453 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-06T01:00:00.000Z	31 \| good	2.743 \| good	9.748 \| good	33.668 \| good	0.962 \| good	5.141 \| good	0.215 \| good
2026-10-06T02:00:00.000Z	30 \| good	2.77 \| good	9.445 \| good	31.925 \| good	0.962 \| good	5.524 \| good	0.308 \| good
2026-10-06T03:00:00.000Z	27 \| good	4.953 \| good	21.622 \| good	12.513 \| good	0.822 \| good	10.013 \| good	0.197 \| good
2026-10-06T04:00:00.000Z	26 \| good	3.169 \| good	10.221 \| good	28.113 \| good	0.981 \| good	9.174 \| good	0.306 \| good
2026-10-06T05:00:00.000Z	22 \| good	3.787 \| good	11.387 \| good	19.379 \| good	1.003 \| good	9.79 \| good	0.303 \| good
2026-10-06T06:00:00.000Z	22 \| good	4.297 \| good	12.783 \| good	15.284 \| good	1.77 \| good	8.697 \| good	0.387 \| good
2026-10-06T07:00:00.000Z	27 \| good	4.772 \| good	13.701 \| good	10.89 \| good	2.516 \| good	8.269 \| good	0.386 \| good
2026-10-06T08:00:00.000Z	27 \| good	5.266 \| good	14.445 \| good	8.929 \| good	1.001 \| good	10.841 \| good	0.377 \| good
2026-10-06T09:00:00.000Z	27 \| good	5.307 \| good	16.59 \| good	7.732 \| good	1.007 \| good	11.742 \| good	0.38 \| good
2026-10-06T10:00:00.000Z	27 \| good	5.24 \| good	15.024 \| good	6.606 \| good	1.029 \| good	12.578 \| good	0.38 \| good
2026-10-06T11:00:00.000Z	27 \| good	5.248 \| good	16.178 \| good	5.46 \| good	1.005 \| good	14.338 \| good	0.391 \| good
2026-10-06T12:00:00.000Z	33 \| good	5.831 \| good	19.347 \| good	6.478 \| good	1.051 \| good	18.312 \| good	0.485 \| good
2026-10-06T13:00:00.000Z	52 \| moderate	10.121 \| good	38.431 \| good	10.104 \| good	1.146 \| good	20.622 \| good	0.506 \| good
2026-10-06T14:00:00.000Z	58 \| moderate	11.155 \| good	69.808 \| fine	9.05 \| good	1.894 \| good	19.665 \| good	0.403 \| good
2026-10-06T15:00:00.000Z	65 \| moderate	16.003 \| fine	82.79 \| fine	15.993 \| good	4.178 \| good	17.21 \| good	0.299 \| good
2026-10-06T16:00:00.000Z	56 \| moderate	11.56 \| good	66.272 \| fine	19.663 \| good	2.637 \| good	11.619 \| good	0.204 \| good
2026-10-06T17:00:00.000Z	49 \| good	8.567 \| good	51.219 \| good	22.332 \| good	1.863 \| good	10.845 \| good	0.288 \| good
2026-10-06T18:00:00.000Z	34 \| good	6.246 \| good	36.564 \| good	25.837 \| good	1.069 \| good	7.435 \| good	0.195 \| good
2026-10-06T19:00:00.000Z	29 \| good	4.833 \| good	26.686 \| good	30.586 \| good	1.032 \| good	6.702 \| good	0.195 \| good
2026-10-06T20:00:00.000Z	31 \| good	4.278 \| good	24.644 \| good	34.149 \| good	1.014 \| good	7.546 \| good	0.2 \| good
2026-10-06T21:00:00.000Z	34 \| good	4.075 \| good	22.38 \| good	37.131 \| good	1.033 \| good	5.844 \| good	0.198 \| good
2026-10-06T22:00:00.000Z	35 \| good	3.937 \| good	20.137 \| good	38.428 \| good	1.05 \| good	4.596 \| good	0.197 \| good
2026-10-06T23:00:00.000Z	33 \| good	3.871 \| good	18.163 \| good	36.232 \| good	1.065 \| good	6.688 \| good	0.202 \| good
2026-10-07T00:00:00.000Z	34 \| good	4.099 \| good	16.625 \| good	36.758 \| good	1.046 \| good	8.26 \| good	0.204 \| good
2026-10-07T01:00:00.000Z	32 \| good	4.52 \| good	17.887 \| good	35.288 \| good	1.027 \| good	12.621 \| good	0.3 \| good
2026-10-07T02:00:00.000Z	32 \| good	4.804 \| good	18.876 \| good	34.771 \| good	1.339 \| good	14.742 \| good	0.476 \| good
2026-10-07T03:00:00.000Z	44 \| good	8.361 \| good	36.786 \| good	18.432 \| good	0.81 \| good	7.936 \| good	0.212 \| good
2026-10-07T04:00:00.000Z	28 \| good	4.979 \| good	18.035 \| good	29.891 \| good	1.999 \| good	15.121 \| good	0.379 \| good
2026-10-07T05:00:00.000Z	27 \| good	5.267 \| good	17.64 \| good	28.908 \| good	1.889 \| good	17.486 \| good	0.294 \| good
2026-10-07T06:00:00.000Z	33 \| good	5.508 \| good	17.506 \| good	28.358 \| good	2.619 \| good	17.738 \| good	0.292 \| good
2026-10-07T07:00:00.000Z	33 \| good	5.786 \| good	17.631 \| good	25.125 \| good	3.356 \| good	18.2 \| good	0.29 \| good
2026-10-07T08:00:00.000Z	33 \| good	5.531 \| good	15.711 \| good	21.873 \| good	1.794 \| good	12.31 \| good	0.286 \| good
2026-10-07T09:00:00.000Z	33 \| good	5.783 \| good	17.994 \| good	23.007 \| good	1.009 \| good	13.16 \| good	0.379 \| good
2026-10-07T10:00:00.000Z	33 \| good	5.94 \| good	19.388 \| good	25.563 \| good	0.972 \| good	15.576 \| good	0.285 \| good
2026-10-07T11:00:00.000Z	33 \| good	6 \| good	22.024 \| good	20.349 \| good	1.013 \| good	15.672 \| good	0.381 \| good
2026-10-07T12:00:00.000Z	33 \| good	6.308 \| good	24.7 \| good	28.102 \| good	1.012 \| good	5.379 \| good	0.291 \| good
2026-10-07T13:00:00.000Z	38 \| good	7.018 \| good	32.631 \| good	26.092 \| good	1.067 \| good	25.834 \| good	0.292 \| good
2026-10-07T14:00:00.000Z	44 \| good	7.746 \| good	43.758 \| good	21.75 \| good	1.848 \| good	22.723 \| good	0.565 \| good
2026-10-07T15:00:00.000Z	44 \| good	7.615 \| good	47.201 \| good	22.528 \| good	2.819 \| good	22.058 \| good	0.29 \| good
2026-10-07T16:00:00.000Z	41 \| good	6.723 \| good	44.328 \| good	30.897 \| good	2.708 \| good	5.59 \| good	0.199 \| good
2026-10-07T17:00:00.000Z	49 \| good	6.601 \| good	52.99 \| good	33.846 \| good	1.925 \| good	7.427 \| good	0.199 \| good
2026-10-07T18:00:00.000Z	46 \| good	6.212 \| good	50.048 \| good	37.742 \| good	1.906 \| good	6.07 \| good	0.202 \| good
2026-10-07T19:00:00.000Z	44 \| good	6.032 \| good	48.403 \| good	45.653 \| good	1.906 \| good	6.026 \| good	0.203 \| good
2026-10-07T20:00:00.000Z	46 \| good	6.09 \| good	50.124 \| good	48.232 \| good	1.125 \| good	6.807 \| good	0.202 \| good
2026-10-07T21:00:00.000Z	50 \| good	6.262 \| good	54.048 \| good	50.05 \| good	1.107 \| good	4.911 \| good	0.203 \| good
2026-10-07T22:00:00.000Z	49 \| good	6.287 \| good	53.041 \| good	52.197 \| good	1.107 \| good	4.453 \| good	0.203 \| good
2026-10-07T23:00:00.000Z	46 \| good	6.17 \| good	45.055 \| good	50.432 \| good	1.084 \| good	4.472 \| good	0.201 \| good
2026-10-08T00:00:00.000Z	47 \| good	6.009 \| good	37.747 \| good	50.844 \| good	1.085 \| good	5.553 \| good	0.201 \| good
2026-10-08T00:00:00.000Z	47 \| good	6.009 \| good	37.747 \| good	50.844 \| good	1.085 \| good	5.553 \| good	0.201 \| good
2026-10-08T00:00:00.000Z	54 \| moderate	10.811 \| good	47.837 \| good	34.287 \| good	0.906 \| good	4.827 \| good	0.188 \| good
2026-10-08T01:00:00.000Z	49 \| good	9.334 \| good	41.364 \| good	36.52 \| good	0.908 \| good	4.923 \| good	0.189 \| good
2026-10-08T02:00:00.000Z	56 \| moderate	11.528 \| good	51.022 \| good	33.137 \| good	0.883 \| good	4.46 \| good	0.187 \| good
2026-10-08T03:00:00.000Z	49 \| good	9.278 \| good	40.988 \| good	29.546 \| good	0.852 \| good	4.143 \| good	0.183 \| good
2026-10-08T04:00:00.000Z	33 \| good	6.307 \| good	27.485 \| good	26.372 \| good	0.819 \| good	3.796 \| good	0.174 \| good
2026-10-08T05:00:00.000Z	27 \| good	4.684 \| good	20.372 \| good	23.349 \| good	0.745 \| good	3.49 \| good	0.164 \| good
2026-10-08T06:00:00.000Z	27 \| good	4.905 \| good	21.338 \| good	22.062 \| good	0.71 \| good	3.511 \| good	0.16 \| good
2026-10-08T07:00:00.000Z	27 \| good	5.33 \| good	23.11 \| good	19.674 \| good	0.694 \| good	3.793 \| good	0.16 \| good
2026-10-08T08:00:00.000Z	33 \| good	5.583 \| good	24.414 \| good	18.601 \| good	0.679 \| good	4.104 \| good	0.163 \| good
2026-10-08T09:00:00.000Z	27 \| good	4.97 \| good	21.671 \| good	13.997 \| good	0.666 \| good	4.16 \| good	0.166 \| good
2026-10-08T10:00:00.000Z	22 \| good	4.326 \| good	18.864 \| good	10.565 \| good	0.644 \| good	4.154 \| good	0.169 \| good
2026-10-08T11:00:00.000Z	38 \| good	7.236 \| good	31.767 \| good	7.83 \| good	0.621 \| good	4.427 \| good	0.173 \| good
2026-10-08T12:00:00.000Z	44 \| good	8.075 \| good	35.715 \| good	11.075 \| good	0.622 \| good	5.557 \| good	0.181 \| good
2026-10-08T13:00:00.000Z	44 \| good	7.575 \| good	33.112 \| good	16.064 \| good	0.658 \| good	5.387 \| good	0.192 \| good
2026-10-08T14:00:00.000Z	27 \| good	5.159 \| good	22.323 \| good	26.14 \| good	0.783 \| good	4.144 \| good	0.182 \| good
2026-10-08T15:00:00.000Z	30 \| good	4.479 \| good	19.566 \| good	31.818 \| good	0.882 \| good	2.938 \| good	0.166 \| good
2026-10-08T16:00:00.000Z	32 \| good	3.743 \| good	16.397 \| good	35.268 \| good	0.861 \| good	1.949 \| good	0.152 \| good
2026-10-08T17:00:00.000Z	35 \| good	3.623 \| good	15.817 \| good	37.512 \| good	0.86 \| good	1.582 \| good	0.147 \| good
2026-10-08T18:00:00.000Z	36 \| good	3.91 \| good	17.185 \| good	39.049 \| good	0.887 \| good	1.443 \| good	0.144 \| good
2026-10-08T19:00:00.000Z	37 \| good	4.291 \| good	18.827 \| good	40.331 \| good	0.89 \| good	1.391 \| good	0.143 \| good
2026-10-08T20:00:00.000Z	37 \| good	3.26 \| good	14.22 \| good	39.845 \| good	0.897 \| good	1.4 \| good	0.143 \| good
2026-10-08T21:00:00.000Z	36 \| good	1.063 \| good	4.348 \| good	38.997 \| good	0.903 \| good	1.559 \| good	0.143 \| good
2026-10-08T22:00:00.000Z	32 \| good	1.26 \| good	5.114 \| good	34.812 \| good	0.888 \| good	2.243 \| good	0.148 \| good
2026-10-08T23:00:00.000Z	25 \| good	2.374 \| good	9.836 \| good	26.673 \| good	0.895 \| good	4.169 \| good	0.164 \| good
2026-10-09T00:00:00.000Z	22 \| good	4.228 \| good	18.205 \| good	17.161 \| good	0.881 \| good	7.134 \| good	0.188 \| good
2026-10-09T01:00:00.000Z	16 \| good	3.401 \| good	14.438 \| good	14.145 \| good	0.902 \| good	9.741 \| good	0.206 \| good
2026-10-09T02:00:00.000Z	16 \| good	2.739 \| good	11.09 \| good	16.139 \| good	0.911 \| good	11.137 \| good	0.213 \| good
2026-10-09T03:00:00.000Z	18 \| good	2.936 \| good	12.371 \| good	19.004 \| good	0.903 \| good	11.444 \| good	0.213 \| good
2026-10-09T04:00:00.000Z	19 \| good	2.684 \| good	11.467 \| good	21.209 \| good	0.879 \| good	10.284 \| good	0.204 \| good
2026-10-09T05:00:00.000Z	18 \| good	2.808 \| good	11.918 \| good	19.144 \| good	0.855 \| good	8.304 \| good	0.189 \| good
2026-10-09T06:00:00.000Z	22 \| good	3.611 \| good	15.205 \| good	15.609 \| good	0.828 \| good	6.895 \| good	0.176 \| good
2026-10-09T07:00:00.000Z	22 \| good	3.907 \| good	17.065 \| good	12.361 \| good	0.808 \| good	6.086 \| good	0.168 \| good
2026-10-09T08:00:00.000Z	22 \| good	3.746 \| good	16.162 \| good	11.037 \| good	0.798 \| good	5.798 \| good	0.164 \| good
2026-10-09T09:00:00.000Z	16 \| good	3.192 \| good	13.428 \| good	8.558 \| good	0.798 \| good	5.838 \| good	0.164 \| good
2026-10-09T10:00:00.000Z	27 \| good	5.079 \| good	22.103 \| good	5.602 \| good	0.812 \| good	6.166 \| good	0.166 \| good
2026-10-09T11:00:00.000Z	49 \| good	8.581 \| good	38.051 \| good	4.242 \| good	0.842 \| good	7.033 \| good	0.172 \| good
2026-10-09T12:00:00.000Z	56 \| moderate	12.188 \| fine	54.231 \| good	4.533 \| good	0.893 \| good	9.178 \| good	0.195 \| good
2026-10-09T13:00:00.000Z	56 \| moderate	12.252 \| fine	54.427 \| good	10.891 \| good	0.921 \| good	8.201 \| good	0.222 \| good
2026-10-09T14:00:00.000Z	33 \| good	6.494 \| good	28.366 \| good	23.131 \| good	1.263 \| good	5.258 \| good	0.188 \| good
2026-10-09T15:00:00.000Z	27 \| good	4.431 \| good	19.279 \| good	29.008 \| good	1.448 \| good	3.258 \| good	0.163 \| good
2026-10-09T16:00:00.000Z	26 \| good	3.519 \| good	15.416 \| good	28.001 \| good	1.432 \| good	2.436 \| good	0.156 \| good
2026-10-09T17:00:00.000Z	29 \| good	2.728 \| good	11.613 \| good	31.132 \| good	1.405 \| good	1.925 \| good	0.153 \| good
2026-10-09T18:00:00.000Z	31 \| good	2.564 \| good	10.479 \| good	33.006 \| good	1.388 \| good	1.61 \| good	0.151 \| good
2026-10-09T19:00:00.000Z	32 \| good	3.236 \| good	13.523 \| good	34.512 \| good	1.372 \| good	1.45 \| good	0.15 \| good
2026-10-09T20:00:00.000Z	31 \| good	4.734 \| good	20.526 \| good	33.257 \| good	1.382 \| good	1.448 \| good	0.15 \| good
2026-10-09T21:00:00.000Z	31 \| good	3.857 \| good	16.79 \| good	32.874 \| good	1.42 \| good	1.677 \| good	0.151 \| good
2026-10-09T22:00:00.000Z	33 \| good	6.058 \| good	26.568 \| good	25.866 \| good	1.456 \| good	2.471 \| good	0.157 \| good
2026-10-09T23:00:00.000Z	44 \| good	8.186 \| good	36.113 \| good	20.816 \| good	1.365 \| good	9.611 \| good	0.226 \| good

Garfield Heights, Ohio live air quality index now

Major air pollutants in Garfield Heights, Ohio

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Garfield Heights, Ohio air quality map: Track AQI near you

Air quality in nearby cities

Maple Heights, Ohio

Seven Hills, Ohio

Bedford, Ohio

Warrensville Heights, Ohio

Shaker Heights, Ohio

Bedford Heights, Ohio

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Frequently asked questions

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What is the current air quality in Garfield Heights, Ohio?

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What is the current concentration of PM2.5 in Garfield Heights, Ohio?

What is the current concentration of PM10 in Garfield Heights, Ohio?

What is the current concentration of carbon monoxide (CO) in Garfield Heights, Ohio?

What is the current concentration of sulfur dioxide (SO2) in Garfield Heights, Ohio?

What is the current concentration of ozone (O3) in Garfield Heights, Ohio?

What is the current concentration of nitrogen dioxide (NO2) in Garfield Heights, Ohio?

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 Garfield Heights, Ohio?

What is the current concentration of PM₁₀ in Garfield Heights, Ohio?

What is the current concentration of sulfur dioxide (SO₂) in Garfield Heights, Ohio?

What is the current concentration of ozone (O₃) in Garfield Heights, Ohio?

What is the current concentration of nitrogen dioxide (NO₂) in Garfield Heights, Ohio?