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

The current PM10 concentration at Garfield Heights, Ohio is 27.187 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 1.389 ppb.

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

The current ozone (O3) concentration at Garfield Heights, Ohio is 43.447 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 11.947 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 6.459 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)

6.46 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

27.19 μg/m³

155

255

425

605+

Ozone (O₃)

43.45 ppb

201

201+

Sulfur Dioxide (SO₂)

1.39 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.95 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.21 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2026-10-20T22:00:00.000Z	38 \| good	6.324 \| good	25.298 \| good	41.104 \| good	0.759 \| good	7.15 \| good	0.286 \| good
2026-10-20T23:00:00.000Z	41 \| good	5.623 \| good	24.078 \| good	44.169 \| good	0.959 \| good	6.342 \| good	0.295 \| good
2026-10-21T00:00:00.000Z	35 \| good	4.995 \| good	19.675 \| good	37.911 \| good	0.95 \| good	7.305 \| good	0.311 \| good
2026-10-21T01:00:00.000Z	32 \| good	4.581 \| good	17.228 \| good	35.305 \| good	0.944 \| good	9.45 \| good	0.326 \| good
2026-10-21T02:00:00.000Z	30 \| good	4.28 \| good	15.419 \| good	32.185 \| good	0.941 \| good	12.424 \| good	0.323 \| good
2026-10-21T03:00:00.000Z	38 \| good	7.027 \| good	30.787 \| good	19.678 \| good	0.597 \| good	6.571 \| good	0.188 \| good
2026-10-21T04:00:00.000Z	23 \| good	4.197 \| good	14.239 \| good	25.025 \| good	0.942 \| good	9.625 \| good	0.412 \| good
2026-10-21T05:00:00.000Z	27 \| good	4.852 \| good	14.946 \| good	18.32 \| good	0.924 \| good	11 \| good	0.507 \| good
2026-10-21T06:00:00.000Z	33 \| good	5.721 \| good	16.558 \| good	19.321 \| good	0.946 \| good	16.11 \| good	0.491 \| good
2026-10-21T07:00:00.000Z	33 \| good	6.063 \| good	16.817 \| good	16.58 \| good	0.947 \| good	15.17 \| good	0.584 \| good
2026-10-21T08:00:00.000Z	38 \| good	6.85 \| good	17.862 \| good	11.559 \| good	0.847 \| good	14.028 \| good	0.58 \| good
2026-10-21T09:00:00.000Z	44 \| good	7.526 \| good	19.7 \| good	11.071 \| good	0.854 \| good	12.981 \| good	0.666 \| good
2026-10-21T10:00:00.000Z	38 \| good	7.173 \| good	18.705 \| good	6.196 \| good	0.885 \| good	12.354 \| good	0.589 \| good
2026-10-21T11:00:00.000Z	38 \| good	7.133 \| good	17.973 \| good	8.378 \| good	0.831 \| good	13.708 \| good	0.501 \| good
2026-10-21T12:00:00.000Z	38 \| good	6.823 \| good	18.936 \| good	8.816 \| good	0.86 \| good	5.651 \| good	0.598 \| good
2026-10-21T13:00:00.000Z	44 \| good	7.833 \| good	25.233 \| good	8.123 \| good	0.918 \| good	22.373 \| good	0.523 \| good
2026-10-21T14:00:00.000Z	52 \| moderate	9.559 \| good	33.14 \| good	9.927 \| good	1.604 \| good	25.036 \| good	0.768 \| good
2026-10-21T15:00:00.000Z	52 \| moderate	10.49 \| good	38.144 \| good	10.553 \| good	1.797 \| good	23.533 \| good	1.348 \| good
2026-10-21T16:00:00.000Z	52 \| moderate	10.139 \| good	36.251 \| good	13.134 \| good	1.01 \| good	20.739 \| good	1.08 \| good
2026-10-21T17:00:00.000Z	49 \| good	9.454 \| good	34.953 \| good	18.671 \| good	2.651 \| good	18.818 \| good	1.067 \| good
2026-10-21T18:00:00.000Z	49 \| good	8.951 \| good	37.17 \| good	22.514 \| good	1.412 \| good	19.413 \| good	0.381 \| good
2026-10-21T19:00:00.000Z	38 \| good	7.209 \| good	31.852 \| good	26.778 \| good	0.996 \| good	14.311 \| good	0.211 \| good
2026-10-21T20:00:00.000Z	33 \| good	6.048 \| good	27.612 \| good	31.331 \| good	0.983 \| good	14.945 \| good	0.299 \| good
2026-10-21T21:00:00.000Z	32 \| good	5.467 \| good	26.386 \| good	35.253 \| good	0.983 \| good	12.361 \| good	0.381 \| good
2026-10-21T22:00:00.000Z	31 \| good	5.093 \| good	23.399 \| good	33.549 \| good	0.977 \| good	11.978 \| good	0.295 \| good
2026-10-21T23:00:00.000Z	33 \| good	4.356 \| good	18.963 \| good	35.657 \| good	0.979 \| good	9.996 \| good	0.221 \| good
2026-10-22T00:00:00.000Z	31 \| good	3.911 \| good	15.3 \| good	33.549 \| good	0.988 \| good	11.572 \| good	0.301 \| good
2026-10-22T01:00:00.000Z	27 \| good	3.961 \| good	14.459 \| good	29.25 \| good	0.984 \| good	12.086 \| good	0.312 \| good
2026-10-22T02:00:00.000Z	22 \| good	4.457 \| good	18.046 \| good	24.372 \| good	1.007 \| good	12.195 \| good	0.317 \| good
2026-10-22T03:00:00.000Z	33 \| good	5.871 \| good	26.551 \| good	13.266 \| good	1.059 \| good	16.49 \| good	0.248 \| good
2026-10-22T04:00:00.000Z	33 \| good	6.305 \| good	17.772 \| good	15.854 \| good	1.006 \| good	17.698 \| good	0.402 \| good
2026-10-22T05:00:00.000Z	38 \| good	7.155 \| good	18.86 \| good	10.503 \| good	1.009 \| good	20.449 \| good	0.482 \| good
2026-10-22T06:00:00.000Z	38 \| good	7.353 \| good	20.007 \| good	9.763 \| good	1.025 \| good	18.756 \| good	0.653 \| good
2026-10-22T07:00:00.000Z	44 \| good	7.933 \| good	20.626 \| good	11.387 \| good	1.006 \| good	18.475 \| good	0.657 \| good
2026-10-22T08:00:00.000Z	44 \| good	7.563 \| good	19.476 \| good	7.596 \| good	0.997 \| good	14.714 \| good	0.57 \| good
2026-10-22T09:00:00.000Z	44 \| good	7.589 \| good	18.031 \| good	5.95 \| good	0.995 \| good	14.708 \| good	0.57 \| good
2026-10-22T10:00:00.000Z	38 \| good	6.914 \| good	17.668 \| good	7.772 \| good	1.11 \| good	14.066 \| good	0.408 \| good
2026-10-22T11:00:00.000Z	38 \| good	6.954 \| good	20.665 \| good	5.175 \| good	0.999 \| good	14.305 \| good	0.515 \| good
2026-10-22T12:00:00.000Z	38 \| good	7.492 \| good	24.627 \| good	8.601 \| good	1.087 \| good	14.389 \| good	0.682 \| good
2026-10-22T13:00:00.000Z	44 \| good	8.454 \| good	30.921 \| good	6.048 \| good	1.186 \| good	18.106 \| good	0.786 \| good
2026-10-22T14:00:00.000Z	54 \| moderate	10.5 \| good	43.162 \| good	9.305 \| good	2.144 \| good	22.306 \| good	1.209 \| good
2026-10-22T15:00:00.000Z	58 \| moderate	12.737 \| fine	56.15 \| fine	13.7 \| good	1.983 \| good	22.31 \| good	0.998 \| good
2026-10-22T16:00:00.000Z	58 \| moderate	12.769 \| fine	52.35 \| good	14.065 \| good	0.977 \| good	23.843 \| good	0.57 \| good
2026-10-22T17:00:00.000Z	54 \| moderate	11.233 \| good	44.952 \| good	19.929 \| good	1.406 \| good	22.563 \| good	0.388 \| good
2026-10-22T18:00:00.000Z	49 \| good	8.974 \| good	37.468 \| good	27.547 \| good	0.986 \| good	3.795 \| good	0.213 \| good
2026-10-22T19:00:00.000Z	44 \| good	7.672 \| good	31.546 \| good	32.839 \| good	0.963 \| good	12.231 \| good	0.21 \| good
2026-10-22T20:00:00.000Z	38 \| good	7.131 \| good	30.92 \| good	38.655 \| good	1.381 \| good	11.164 \| good	0.206 \| good
2026-10-22T21:00:00.000Z	41 \| good	6.196 \| good	26.412 \| good	43.58 \| good	1.401 \| good	10.404 \| good	0.21 \| good
2026-10-22T21:00:00.000Z	40 \| good	6.459 \| good	27.187 \| good	43.447 \| good	1.389 \| good	11.947 \| good	0.206 \| good
2026-10-22T22:00:00.000Z	44 \| good	7.879 \| good	34.788 \| good	36.784 \| good	1.539 \| good	4.726 \| good	0.202 \| good
2026-10-22T23:00:00.000Z	49 \| good	8.931 \| good	39.288 \| good	28.683 \| good	1.494 \| good	8.535 \| good	0.236 \| good
2026-10-23T00:00:00.000Z	52 \| moderate	9.659 \| good	42.922 \| good	23.009 \| good	1.453 \| good	11.186 \| good	0.258 \| good
2026-10-23T01:00:00.000Z	56 \| moderate	12.035 \| good	53.919 \| good	23.844 \| good	1.396 \| good	12.859 \| good	0.267 \| good
2026-10-23T02:00:00.000Z	60 \| moderate	14.085 \| fine	63.035 \| fine	19.501 \| good	1.316 \| good	13.695 \| good	0.268 \| good
2026-10-23T03:00:00.000Z	62 \| moderate	14.98 \| fine	66.849 \| fine	18.038 \| good	1.226 \| good	13.831 \| good	0.265 \| good
2026-10-23T04:00:00.000Z	62 \| moderate	15.116 \| fine	67.113 \| fine	16.163 \| good	1.113 \| good	12.946 \| good	0.259 \| good
2026-10-23T05:00:00.000Z	64 \| moderate	16.114 \| fine	72.197 \| fine	12.195 \| good	0.986 \| good	10.797 \| good	0.247 \| good
2026-10-23T06:00:00.000Z	67 \| moderate	18.398 \| fine	81.962 \| fine	10.195 \| good	0.905 \| good	8.851 \| good	0.233 \| good
2026-10-23T07:00:00.000Z	69 \| moderate	18.703 \| fine	82.134 \| fine	9.74 \| good	0.894 \| good	7.841 \| good	0.226 \| good
2026-10-23T08:00:00.000Z	67 \| moderate	18.262 \| fine	80.199 \| fine	11.044 \| good	0.929 \| good	7.581 \| good	0.224 \| good
2026-10-23T09:00:00.000Z	67 \| moderate	17.825 \| fine	78.38 \| fine	11.453 \| good	0.985 \| good	7.714 \| good	0.227 \| good
2026-10-23T10:00:00.000Z	67 \| moderate	18.357 \| fine	80.569 \| fine	9.942 \| good	1.047 \| good	8.045 \| good	0.232 \| good
2026-10-23T11:00:00.000Z	69 \| moderate	19.494 \| fine	86.267 \| fine	9.011 \| good	1.069 \| good	8.697 \| good	0.24 \| good
2026-10-23T12:00:00.000Z	73 \| moderate	21.144 \| fine	92.449 \| fine	8.537 \| good	1.123 \| good	10.374 \| good	0.259 \| good
2026-10-23T13:00:00.000Z	77 \| moderate	22.574 \| fine	98.38 \| fine	16.796 \| good	1.146 \| good	10.393 \| good	0.282 \| good
2026-10-23T14:00:00.000Z	75 \| moderate	22.131 \| fine	96.629 \| fine	25.964 \| good	1.252 \| good	8.581 \| good	0.281 \| good
2026-10-23T15:00:00.000Z	73 \| moderate	21.25 \| fine	93.828 \| fine	32.909 \| good	1.311 \| good	6.269 \| good	0.26 \| good
2026-10-23T16:00:00.000Z	69 \| moderate	18.985 \| fine	84.06 \| fine	38.019 \| good	1.274 \| good	4.227 \| good	0.228 \| good
2026-10-23T17:00:00.000Z	58 \| moderate	13.147 \| fine	58.743 \| fine	41.721 \| good	1.156 \| good	2.711 \| good	0.199 \| good
2026-10-23T18:00:00.000Z	52 \| moderate	9.869 \| good	43.691 \| good	43.189 \| good	1.065 \| good	2.065 \| good	0.184 \| good
2026-10-23T19:00:00.000Z	40 \| good	5.365 \| good	23.33 \| good	42.765 \| good	0.945 \| good	1.691 \| good	0.174 \| good
2026-10-23T20:00:00.000Z	37 \| good	2.202 \| good	9.216 \| good	40.425 \| good	0.847 \| good	1.602 \| good	0.168 \| good
2026-10-23T21:00:00.000Z	33 \| good	2.201 \| good	9.276 \| good	36.312 \| good	0.754 \| good	1.715 \| good	0.162 \| good
2026-10-23T22:00:00.000Z	29 \| good	2.732 \| good	11.519 \| good	30.626 \| good	0.669 \| good	3.046 \| good	0.17 \| good
2026-10-23T23:00:00.000Z	22 \| good	4.298 \| good	19.07 \| good	22.897 \| good	0.617 \| good	6.063 \| good	0.195 \| good
2026-10-24T00:00:00.000Z	27 \| good	5.171 \| good	22.26 \| good	20.467 \| good	0.58 \| good	7.012 \| good	0.199 \| good
2026-10-24T01:00:00.000Z	27 \| good	4.517 \| good	19.629 \| good	17.371 \| good	0.539 \| good	6.918 \| good	0.192 \| good
2026-10-24T02:00:00.000Z	22 \| good	4.272 \| good	18.76 \| good	15.414 \| good	0.507 \| good	7.133 \| good	0.19 \| good
2026-10-24T03:00:00.000Z	27 \| good	5.489 \| good	23.481 \| good	12.048 \| good	0.489 \| good	7.821 \| good	0.194 \| good
2026-10-24T04:00:00.000Z	49 \| good	8.647 \| good	38.054 \| good	10.44 \| good	0.462 \| good	8.565 \| good	0.201 \| good
2026-10-24T05:00:00.000Z	54 \| moderate	10.899 \| good	48.085 \| good	9.555 \| good	0.43 \| good	8.874 \| good	0.208 \| good
2026-10-24T06:00:00.000Z	54 \| moderate	11.212 \| good	49.616 \| good	9.466 \| good	0.424 \| good	9.331 \| good	0.216 \| good
2026-10-24T07:00:00.000Z	54 \| moderate	10.786 \| good	47.705 \| good	8.829 \| good	0.439 \| good	9.996 \| good	0.224 \| good
2026-10-24T08:00:00.000Z	52 \| moderate	10.346 \| good	45.668 \| good	7.22 \| good	0.468 \| good	10.485 \| good	0.231 \| good
2026-10-24T09:00:00.000Z	54 \| moderate	10.542 \| good	46.652 \| good	6.963 \| good	0.502 \| good	10.65 \| good	0.235 \| good
2026-10-24T10:00:00.000Z	52 \| moderate	10.172 \| good	44.962 \| good	6.672 \| good	0.539 \| good	10.451 \| good	0.235 \| good
2026-10-24T11:00:00.000Z	54 \| moderate	10.919 \| good	48.671 \| good	7.826 \| good	0.549 \| good	10.517 \| good	0.236 \| good
2026-10-24T12:00:00.000Z	58 \| moderate	13.309 \| fine	59.883 \| fine	8.782 \| good	0.564 \| good	11.001 \| good	0.24 \| good
2026-10-24T13:00:00.000Z	60 \| moderate	14.479 \| fine	64.071 \| fine	12.79 \| good	0.589 \| good	8.986 \| good	0.246 \| good
2026-10-24T14:00:00.000Z	62 \| moderate	14.897 \| fine	66.331 \| fine	19.617 \| good	0.635 \| good	7.055 \| good	0.239 \| good
2026-10-24T15:00:00.000Z	56 \| moderate	12.123 \| fine	54.155 \| good	25.149 \| good	0.77 \| good	5.497 \| good	0.219 \| good
2026-10-24T16:00:00.000Z	52 \| moderate	10.148 \| good	45.132 \| good	30.539 \| good	1.017 \| good	4.016 \| good	0.198 \| good
2026-10-24T17:00:00.000Z	38 \| good	7.434 \| good	32.799 \| good	36.467 \| good	1.138 \| good	2.92 \| good	0.181 \| good
2026-10-24T18:00:00.000Z	44 \| good	7.587 \| good	33.802 \| good	39.33 \| good	1.181 \| good	2.339 \| good	0.171 \| good
2026-10-24T19:00:00.000Z	38 \| good	6.943 \| good	30.847 \| good	41.071 \| good	1.156 \| good	2.051 \| good	0.165 \| good
2026-10-24T20:00:00.000Z	40 \| good	5.794 \| good	25.012 \| good	42.798 \| good	1.092 \| good	1.99 \| good	0.162 \| good
2026-10-24T21:00:00.000Z	38 \| good	5.829 \| good	25.16 \| good	41.031 \| good	1.006 \| good	2.151 \| good	0.161 \| 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 04:00:00 on 2026-10-22.

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 02:00:00 on 2026-10-22.

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

The current air quality in Garfield Heights, Ohio is 40, 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 O3.

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 6.459 μg/m³.

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

The current PM₁₀ concentration at Garfield Heights, Ohio is 27.187 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 0.206 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 1.389 ppb.

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

The current ozone (O₃) concentration at Garfield Heights, Ohio is 43.447 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 11.947 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-20T22:00:00.000Z	38 \| good	6.324 \| good	25.298 \| good	41.104 \| good	0.759 \| good	7.15 \| good	0.286 \| good
2026-10-20T23:00:00.000Z	41 \| good	5.623 \| good	24.078 \| good	44.169 \| good	0.959 \| good	6.342 \| good	0.295 \| good
2026-10-21T00:00:00.000Z	35 \| good	4.995 \| good	19.675 \| good	37.911 \| good	0.95 \| good	7.305 \| good	0.311 \| good
2026-10-21T01:00:00.000Z	32 \| good	4.581 \| good	17.228 \| good	35.305 \| good	0.944 \| good	9.45 \| good	0.326 \| good
2026-10-21T02:00:00.000Z	30 \| good	4.28 \| good	15.419 \| good	32.185 \| good	0.941 \| good	12.424 \| good	0.323 \| good
2026-10-21T03:00:00.000Z	38 \| good	7.027 \| good	30.787 \| good	19.678 \| good	0.597 \| good	6.571 \| good	0.188 \| good
2026-10-21T04:00:00.000Z	23 \| good	4.197 \| good	14.239 \| good	25.025 \| good	0.942 \| good	9.625 \| good	0.412 \| good
2026-10-21T05:00:00.000Z	27 \| good	4.852 \| good	14.946 \| good	18.32 \| good	0.924 \| good	11 \| good	0.507 \| good
2026-10-21T06:00:00.000Z	33 \| good	5.721 \| good	16.558 \| good	19.321 \| good	0.946 \| good	16.11 \| good	0.491 \| good
2026-10-21T07:00:00.000Z	33 \| good	6.063 \| good	16.817 \| good	16.58 \| good	0.947 \| good	15.17 \| good	0.584 \| good
2026-10-21T08:00:00.000Z	38 \| good	6.85 \| good	17.862 \| good	11.559 \| good	0.847 \| good	14.028 \| good	0.58 \| good
2026-10-21T09:00:00.000Z	44 \| good	7.526 \| good	19.7 \| good	11.071 \| good	0.854 \| good	12.981 \| good	0.666 \| good
2026-10-21T10:00:00.000Z	38 \| good	7.173 \| good	18.705 \| good	6.196 \| good	0.885 \| good	12.354 \| good	0.589 \| good
2026-10-21T11:00:00.000Z	38 \| good	7.133 \| good	17.973 \| good	8.378 \| good	0.831 \| good	13.708 \| good	0.501 \| good
2026-10-21T12:00:00.000Z	38 \| good	6.823 \| good	18.936 \| good	8.816 \| good	0.86 \| good	5.651 \| good	0.598 \| good
2026-10-21T13:00:00.000Z	44 \| good	7.833 \| good	25.233 \| good	8.123 \| good	0.918 \| good	22.373 \| good	0.523 \| good
2026-10-21T14:00:00.000Z	52 \| moderate	9.559 \| good	33.14 \| good	9.927 \| good	1.604 \| good	25.036 \| good	0.768 \| good
2026-10-21T15:00:00.000Z	52 \| moderate	10.49 \| good	38.144 \| good	10.553 \| good	1.797 \| good	23.533 \| good	1.348 \| good
2026-10-21T16:00:00.000Z	52 \| moderate	10.139 \| good	36.251 \| good	13.134 \| good	1.01 \| good	20.739 \| good	1.08 \| good
2026-10-21T17:00:00.000Z	49 \| good	9.454 \| good	34.953 \| good	18.671 \| good	2.651 \| good	18.818 \| good	1.067 \| good
2026-10-21T18:00:00.000Z	49 \| good	8.951 \| good	37.17 \| good	22.514 \| good	1.412 \| good	19.413 \| good	0.381 \| good
2026-10-21T19:00:00.000Z	38 \| good	7.209 \| good	31.852 \| good	26.778 \| good	0.996 \| good	14.311 \| good	0.211 \| good
2026-10-21T20:00:00.000Z	33 \| good	6.048 \| good	27.612 \| good	31.331 \| good	0.983 \| good	14.945 \| good	0.299 \| good
2026-10-21T21:00:00.000Z	32 \| good	5.467 \| good	26.386 \| good	35.253 \| good	0.983 \| good	12.361 \| good	0.381 \| good
2026-10-21T22:00:00.000Z	31 \| good	5.093 \| good	23.399 \| good	33.549 \| good	0.977 \| good	11.978 \| good	0.295 \| good
2026-10-21T23:00:00.000Z	33 \| good	4.356 \| good	18.963 \| good	35.657 \| good	0.979 \| good	9.996 \| good	0.221 \| good
2026-10-22T00:00:00.000Z	31 \| good	3.911 \| good	15.3 \| good	33.549 \| good	0.988 \| good	11.572 \| good	0.301 \| good
2026-10-22T01:00:00.000Z	27 \| good	3.961 \| good	14.459 \| good	29.25 \| good	0.984 \| good	12.086 \| good	0.312 \| good
2026-10-22T02:00:00.000Z	22 \| good	4.457 \| good	18.046 \| good	24.372 \| good	1.007 \| good	12.195 \| good	0.317 \| good
2026-10-22T03:00:00.000Z	33 \| good	5.871 \| good	26.551 \| good	13.266 \| good	1.059 \| good	16.49 \| good	0.248 \| good
2026-10-22T04:00:00.000Z	33 \| good	6.305 \| good	17.772 \| good	15.854 \| good	1.006 \| good	17.698 \| good	0.402 \| good
2026-10-22T05:00:00.000Z	38 \| good	7.155 \| good	18.86 \| good	10.503 \| good	1.009 \| good	20.449 \| good	0.482 \| good
2026-10-22T06:00:00.000Z	38 \| good	7.353 \| good	20.007 \| good	9.763 \| good	1.025 \| good	18.756 \| good	0.653 \| good
2026-10-22T07:00:00.000Z	44 \| good	7.933 \| good	20.626 \| good	11.387 \| good	1.006 \| good	18.475 \| good	0.657 \| good
2026-10-22T08:00:00.000Z	44 \| good	7.563 \| good	19.476 \| good	7.596 \| good	0.997 \| good	14.714 \| good	0.57 \| good
2026-10-22T09:00:00.000Z	44 \| good	7.589 \| good	18.031 \| good	5.95 \| good	0.995 \| good	14.708 \| good	0.57 \| good
2026-10-22T10:00:00.000Z	38 \| good	6.914 \| good	17.668 \| good	7.772 \| good	1.11 \| good	14.066 \| good	0.408 \| good
2026-10-22T11:00:00.000Z	38 \| good	6.954 \| good	20.665 \| good	5.175 \| good	0.999 \| good	14.305 \| good	0.515 \| good
2026-10-22T12:00:00.000Z	38 \| good	7.492 \| good	24.627 \| good	8.601 \| good	1.087 \| good	14.389 \| good	0.682 \| good
2026-10-22T13:00:00.000Z	44 \| good	8.454 \| good	30.921 \| good	6.048 \| good	1.186 \| good	18.106 \| good	0.786 \| good
2026-10-22T14:00:00.000Z	54 \| moderate	10.5 \| good	43.162 \| good	9.305 \| good	2.144 \| good	22.306 \| good	1.209 \| good
2026-10-22T15:00:00.000Z	58 \| moderate	12.737 \| fine	56.15 \| fine	13.7 \| good	1.983 \| good	22.31 \| good	0.998 \| good
2026-10-22T16:00:00.000Z	58 \| moderate	12.769 \| fine	52.35 \| good	14.065 \| good	0.977 \| good	23.843 \| good	0.57 \| good
2026-10-22T17:00:00.000Z	54 \| moderate	11.233 \| good	44.952 \| good	19.929 \| good	1.406 \| good	22.563 \| good	0.388 \| good
2026-10-22T18:00:00.000Z	49 \| good	8.974 \| good	37.468 \| good	27.547 \| good	0.986 \| good	3.795 \| good	0.213 \| good
2026-10-22T19:00:00.000Z	44 \| good	7.672 \| good	31.546 \| good	32.839 \| good	0.963 \| good	12.231 \| good	0.21 \| good
2026-10-22T20:00:00.000Z	38 \| good	7.131 \| good	30.92 \| good	38.655 \| good	1.381 \| good	11.164 \| good	0.206 \| good
2026-10-22T21:00:00.000Z	41 \| good	6.196 \| good	26.412 \| good	43.58 \| good	1.401 \| good	10.404 \| good	0.21 \| good
2026-10-22T21:00:00.000Z	40 \| good	6.459 \| good	27.187 \| good	43.447 \| good	1.389 \| good	11.947 \| good	0.206 \| good
2026-10-22T22:00:00.000Z	44 \| good	7.879 \| good	34.788 \| good	36.784 \| good	1.539 \| good	4.726 \| good	0.202 \| good
2026-10-22T23:00:00.000Z	49 \| good	8.931 \| good	39.288 \| good	28.683 \| good	1.494 \| good	8.535 \| good	0.236 \| good
2026-10-23T00:00:00.000Z	52 \| moderate	9.659 \| good	42.922 \| good	23.009 \| good	1.453 \| good	11.186 \| good	0.258 \| good
2026-10-23T01:00:00.000Z	56 \| moderate	12.035 \| good	53.919 \| good	23.844 \| good	1.396 \| good	12.859 \| good	0.267 \| good
2026-10-23T02:00:00.000Z	60 \| moderate	14.085 \| fine	63.035 \| fine	19.501 \| good	1.316 \| good	13.695 \| good	0.268 \| good
2026-10-23T03:00:00.000Z	62 \| moderate	14.98 \| fine	66.849 \| fine	18.038 \| good	1.226 \| good	13.831 \| good	0.265 \| good
2026-10-23T04:00:00.000Z	62 \| moderate	15.116 \| fine	67.113 \| fine	16.163 \| good	1.113 \| good	12.946 \| good	0.259 \| good
2026-10-23T05:00:00.000Z	64 \| moderate	16.114 \| fine	72.197 \| fine	12.195 \| good	0.986 \| good	10.797 \| good	0.247 \| good
2026-10-23T06:00:00.000Z	67 \| moderate	18.398 \| fine	81.962 \| fine	10.195 \| good	0.905 \| good	8.851 \| good	0.233 \| good
2026-10-23T07:00:00.000Z	69 \| moderate	18.703 \| fine	82.134 \| fine	9.74 \| good	0.894 \| good	7.841 \| good	0.226 \| good
2026-10-23T08:00:00.000Z	67 \| moderate	18.262 \| fine	80.199 \| fine	11.044 \| good	0.929 \| good	7.581 \| good	0.224 \| good
2026-10-23T09:00:00.000Z	67 \| moderate	17.825 \| fine	78.38 \| fine	11.453 \| good	0.985 \| good	7.714 \| good	0.227 \| good
2026-10-23T10:00:00.000Z	67 \| moderate	18.357 \| fine	80.569 \| fine	9.942 \| good	1.047 \| good	8.045 \| good	0.232 \| good
2026-10-23T11:00:00.000Z	69 \| moderate	19.494 \| fine	86.267 \| fine	9.011 \| good	1.069 \| good	8.697 \| good	0.24 \| good
2026-10-23T12:00:00.000Z	73 \| moderate	21.144 \| fine	92.449 \| fine	8.537 \| good	1.123 \| good	10.374 \| good	0.259 \| good
2026-10-23T13:00:00.000Z	77 \| moderate	22.574 \| fine	98.38 \| fine	16.796 \| good	1.146 \| good	10.393 \| good	0.282 \| good
2026-10-23T14:00:00.000Z	75 \| moderate	22.131 \| fine	96.629 \| fine	25.964 \| good	1.252 \| good	8.581 \| good	0.281 \| good
2026-10-23T15:00:00.000Z	73 \| moderate	21.25 \| fine	93.828 \| fine	32.909 \| good	1.311 \| good	6.269 \| good	0.26 \| good
2026-10-23T16:00:00.000Z	69 \| moderate	18.985 \| fine	84.06 \| fine	38.019 \| good	1.274 \| good	4.227 \| good	0.228 \| good
2026-10-23T17:00:00.000Z	58 \| moderate	13.147 \| fine	58.743 \| fine	41.721 \| good	1.156 \| good	2.711 \| good	0.199 \| good
2026-10-23T18:00:00.000Z	52 \| moderate	9.869 \| good	43.691 \| good	43.189 \| good	1.065 \| good	2.065 \| good	0.184 \| good
2026-10-23T19:00:00.000Z	40 \| good	5.365 \| good	23.33 \| good	42.765 \| good	0.945 \| good	1.691 \| good	0.174 \| good
2026-10-23T20:00:00.000Z	37 \| good	2.202 \| good	9.216 \| good	40.425 \| good	0.847 \| good	1.602 \| good	0.168 \| good
2026-10-23T21:00:00.000Z	33 \| good	2.201 \| good	9.276 \| good	36.312 \| good	0.754 \| good	1.715 \| good	0.162 \| good
2026-10-23T22:00:00.000Z	29 \| good	2.732 \| good	11.519 \| good	30.626 \| good	0.669 \| good	3.046 \| good	0.17 \| good
2026-10-23T23:00:00.000Z	22 \| good	4.298 \| good	19.07 \| good	22.897 \| good	0.617 \| good	6.063 \| good	0.195 \| good
2026-10-24T00:00:00.000Z	27 \| good	5.171 \| good	22.26 \| good	20.467 \| good	0.58 \| good	7.012 \| good	0.199 \| good
2026-10-24T01:00:00.000Z	27 \| good	4.517 \| good	19.629 \| good	17.371 \| good	0.539 \| good	6.918 \| good	0.192 \| good
2026-10-24T02:00:00.000Z	22 \| good	4.272 \| good	18.76 \| good	15.414 \| good	0.507 \| good	7.133 \| good	0.19 \| good
2026-10-24T03:00:00.000Z	27 \| good	5.489 \| good	23.481 \| good	12.048 \| good	0.489 \| good	7.821 \| good	0.194 \| good
2026-10-24T04:00:00.000Z	49 \| good	8.647 \| good	38.054 \| good	10.44 \| good	0.462 \| good	8.565 \| good	0.201 \| good
2026-10-24T05:00:00.000Z	54 \| moderate	10.899 \| good	48.085 \| good	9.555 \| good	0.43 \| good	8.874 \| good	0.208 \| good
2026-10-24T06:00:00.000Z	54 \| moderate	11.212 \| good	49.616 \| good	9.466 \| good	0.424 \| good	9.331 \| good	0.216 \| good
2026-10-24T07:00:00.000Z	54 \| moderate	10.786 \| good	47.705 \| good	8.829 \| good	0.439 \| good	9.996 \| good	0.224 \| good
2026-10-24T08:00:00.000Z	52 \| moderate	10.346 \| good	45.668 \| good	7.22 \| good	0.468 \| good	10.485 \| good	0.231 \| good
2026-10-24T09:00:00.000Z	54 \| moderate	10.542 \| good	46.652 \| good	6.963 \| good	0.502 \| good	10.65 \| good	0.235 \| good
2026-10-24T10:00:00.000Z	52 \| moderate	10.172 \| good	44.962 \| good	6.672 \| good	0.539 \| good	10.451 \| good	0.235 \| good
2026-10-24T11:00:00.000Z	54 \| moderate	10.919 \| good	48.671 \| good	7.826 \| good	0.549 \| good	10.517 \| good	0.236 \| good
2026-10-24T12:00:00.000Z	58 \| moderate	13.309 \| fine	59.883 \| fine	8.782 \| good	0.564 \| good	11.001 \| good	0.24 \| good
2026-10-24T13:00:00.000Z	60 \| moderate	14.479 \| fine	64.071 \| fine	12.79 \| good	0.589 \| good	8.986 \| good	0.246 \| good
2026-10-24T14:00:00.000Z	62 \| moderate	14.897 \| fine	66.331 \| fine	19.617 \| good	0.635 \| good	7.055 \| good	0.239 \| good
2026-10-24T15:00:00.000Z	56 \| moderate	12.123 \| fine	54.155 \| good	25.149 \| good	0.77 \| good	5.497 \| good	0.219 \| good
2026-10-24T16:00:00.000Z	52 \| moderate	10.148 \| good	45.132 \| good	30.539 \| good	1.017 \| good	4.016 \| good	0.198 \| good
2026-10-24T17:00:00.000Z	38 \| good	7.434 \| good	32.799 \| good	36.467 \| good	1.138 \| good	2.92 \| good	0.181 \| good
2026-10-24T18:00:00.000Z	44 \| good	7.587 \| good	33.802 \| good	39.33 \| good	1.181 \| good	2.339 \| good	0.171 \| good
2026-10-24T19:00:00.000Z	38 \| good	6.943 \| good	30.847 \| good	41.071 \| good	1.156 \| good	2.051 \| good	0.165 \| good
2026-10-24T20:00:00.000Z	40 \| good	5.794 \| good	25.012 \| good	42.798 \| good	1.092 \| good	1.99 \| good	0.162 \| good
2026-10-24T21:00:00.000Z	38 \| good	5.829 \| good	25.16 \| good	41.031 \| good	1.006 \| good	2.151 \| good	0.161 \| 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 concentration of PM2.5 in Garfield Heights, Ohio?

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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?

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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?

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