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

The current PM10 concentration at Maple Heights, Ohio is 9.073 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Maple Heights, Ohio is 1.445 ppb.

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

The current ozone (O3) concentration at Maple Heights, Ohio is 31.218 ppm.

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

The current nitrogen dioxide (NO2) concentration at Maple Heights, Ohio is 2.449 ppb.

Maple Heights, Ohio live air quality index now

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

Stay updated with real-time air quality in Maple 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

Maple Heights, Ohio

Last updated: ... (Local time)

Major air pollutants in Maple Heights, Ohio

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.57 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.07 μg/m³

155

255

425

605+

Ozone (O₃)

31.22 ppb

201

201+

Sulfur Dioxide (SO₂)

1.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.45 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Maple Heights, Ohio

Get Live Pollen Counts

Maple Heights, Ohio

Scroll To Air Quality Map

Track live Maple Heights, Ohio air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T05:00:00.000Z	26 \| good	2.988 \| good	6.931 \| good	28.205 \| good	1.265 \| good	1.157 \| good	0.102 \| good
2025-10-20T06:00:00.000Z	28 \| good	3.178 \| good	6.991 \| good	29.819 \| good	1.301 \| good	1.144 \| good	0.102 \| good
2025-10-20T07:00:00.000Z	28 \| good	3.104 \| good	7.251 \| good	30.399 \| good	1.106 \| good	1.145 \| good	0.101 \| good
2025-10-20T08:00:00.000Z	28 \| good	3.049 \| good	7.418 \| good	30.025 \| good	1.023 \| good	1.144 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	23 \| good	3.049 \| good	7.112 \| good	25.498 \| good	1.1 \| good	2.815 \| good	0.101 \| good
2025-10-20T10:00:00.000Z	20 \| good	3.329 \| good	8.352 \| good	22.429 \| good	1.098 \| good	3.968 \| good	0.106 \| good
2025-10-20T11:00:00.000Z	19 \| good	3.459 \| good	9.103 \| good	20.773 \| good	1.054 \| good	5.525 \| good	0.112 \| good
2025-10-20T12:00:00.000Z	20 \| good	3.462 \| good	9.486 \| good	22.065 \| good	1.163 \| good	5.718 \| good	0.203 \| good
2025-10-20T13:00:00.000Z	19 \| good	3.443 \| good	9.639 \| good	20.303 \| good	1.163 \| good	9.412 \| good	0.218 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.552 \| good	10.156 \| good	16.112 \| good	1.37 \| good	10.557 \| good	0.205 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.743 \| good	11.123 \| good	15.328 \| good	0.988 \| good	8.987 \| good	0.2 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.729 \| good	10.931 \| good	15.923 \| good	1.286 \| good	7.229 \| good	0.196 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.696 \| good	11.373 \| good	15.925 \| good	1.226 \| good	7.033 \| good	0.187 \| good
2025-10-20T18:00:00.000Z	22 \| good	3.651 \| good	12.421 \| good	22.134 \| good	1.225 \| good	5.42 \| good	0.181 \| good
2025-10-20T19:00:00.000Z	23 \| good	3.222 \| good	11.277 \| good	24.876 \| good	1.217 \| good	3.777 \| good	0.18 \| good
2025-10-20T20:00:00.000Z	24 \| good	3.07 \| good	10.149 \| good	25.857 \| good	1.298 \| good	3.618 \| good	0.186 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.881 \| good	8.65 \| good	28.692 \| good	1.269 \| good	2.63 \| good	0.186 \| good
2025-10-20T22:00:00.000Z	27 \| good	2.838 \| good	8.905 \| good	29.377 \| good	1.741 \| good	2.3 \| good	0.194 \| good
2025-10-20T23:00:00.000Z	28 \| good	2.791 \| good	8.514 \| good	29.585 \| good	0.854 \| good	3.261 \| good	0.191 \| good
2025-10-21T00:00:00.000Z	27 \| good	2.79 \| good	8.829 \| good	28.842 \| good	1.086 \| good	4.428 \| good	0.206 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.069 \| good	10.148 \| good	24.446 \| good	1.377 \| good	11.731 \| good	0.296 \| good
2025-10-21T02:00:00.000Z	22 \| good	3.839 \| good	13.475 \| good	18.426 \| good	1.377 \| good	19.166 \| good	0.673 \| good
2025-10-21T03:00:00.000Z	62 \| moderate	14.519 \| fine	64.769 \| fine	18.557 \| good	0.879 \| good	12.04 \| good	0.222 \| good
2025-10-21T04:00:00.000Z	27 \| good	5.101 \| good	15.789 \| good	10.63 \| good	1.361 \| good	23.003 \| good	0.198 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.43 \| good	16.288 \| good	7.722 \| good	1.64 \| good	19.316 \| good	0.189 \| good
2025-10-21T06:00:00.000Z	33 \| good	5.795 \| good	16.843 \| good	7.916 \| good	2.566 \| good	16.739 \| good	0.267 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.825 \| good	16.689 \| good	9.243 \| good	1.494 \| good	14.98 \| good	0.264 \| good
2025-10-21T08:00:00.000Z	27 \| good	5.423 \| good	15.985 \| good	13.647 \| good	1.245 \| good	9.918 \| good	0.185 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.713 \| good	14.492 \| good	17.922 \| good	1.511 \| good	6.348 \| good	0.344 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.419 \| good	14.655 \| good	20.548 \| good	1.575 \| good	7.288 \| good	0.202 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.243 \| good	15.281 \| good	21.72 \| good	1.359 \| good	6.375 \| good	0.27 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.043 \| good	14.285 \| good	22.35 \| good	1.526 \| good	7.529 \| good	0.754 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.092 \| good	14.438 \| good	22.404 \| good	1.658 \| good	10.673 \| good	0.22 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.269 \| good	13.56 \| good	22.005 \| good	1.701 \| good	11.535 \| good	0.222 \| good
2025-10-21T15:00:00.000Z	22 \| good	4.192 \| good	12.134 \| good	22.215 \| good	1.288 \| good	9.388 \| good	0.284 \| good
2025-10-21T16:00:00.000Z	22 \| good	4.205 \| good	12.427 \| good	21.344 \| good	1.699 \| good	7.268 \| good	0.184 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.18 \| good	12.209 \| good	24.408 \| good	1.332 \| good	4.506 \| good	0.182 \| good
2025-10-21T18:00:00.000Z	25 \| good	4.073 \| good	13.074 \| good	26.848 \| good	1.295 \| good	3.585 \| good	0.102 \| good
2025-10-21T19:00:00.000Z	29 \| good	3.891 \| good	12.795 \| good	30.731 \| good	1.577 \| good	2.575 \| good	0.102 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.74 \| good	12.441 \| good	32.818 \| good	1.757 \| good	2.54 \| good	0.107 \| good
2025-10-21T21:00:00.000Z	31 \| good	3.524 \| good	12.432 \| good	34.082 \| good	1.224 \| good	2.377 \| good	0.118 \| good
2025-10-21T22:00:00.000Z	31 \| good	3.235 \| good	12.28 \| good	32.747 \| good	1.503 \| good	2.481 \| good	0.116 \| good
2025-10-21T23:00:00.000Z	31 \| good	2.988 \| good	10.712 \| good	33.223 \| good	1.526 \| good	2.494 \| good	0.119 \| good
2025-10-22T00:00:00.000Z	30 \| good	2.916 \| good	11.329 \| good	32.385 \| good	1.507 \| good	3.473 \| good	0.111 \| good
2025-10-22T01:00:00.000Z	31 \| good	2.962 \| good	11.935 \| good	32.856 \| good	1.814 \| good	3.004 \| good	0.121 \| good
2025-10-22T02:00:00.000Z	30 \| good	2.856 \| good	10.238 \| good	32.366 \| good	1.409 \| good	3.879 \| good	0.197 \| good
2025-10-22T03:00:00.000Z	34 \| good	5.128 \| good	21.823 \| good	36.89 \| good	0.731 \| good	2.801 \| good	0.135 \| good
2025-10-22T04:00:00.000Z	29 \| good	2.571 \| good	9.073 \| good	31.218 \| good	1.445 \| good	2.449 \| good	0.106 \| good
2025-10-22T04:00:00.000Z	29 \| good	2.571 \| good	9.073 \| good	31.218 \| good	1.445 \| good	2.449 \| good	0.106 \| good
2025-10-16T20:00:00.000Z	29 \| good	0.43 \| good	1.854 \| good	30.717 \| good	0.703 \| good	1.463 \| good	0.143 \| good
2025-10-16T21:00:00.000Z	29 \| good	0.521 \| good	2 \| good	31.46 \| good	0.694 \| good	1.519 \| good	0.142 \| good
2025-10-16T22:00:00.000Z	26 \| good	0.738 \| good	2.882 \| good	28.405 \| good	0.736 \| good	3.239 \| good	0.154 \| good
2025-10-16T23:00:00.000Z	19 \| good	1.33 \| good	5.152 \| good	20.891 \| good	0.778 \| good	4.958 \| good	0.167 \| good
2025-10-17T00:00:00.000Z	16 \| good	2.583 \| good	10.798 \| good	15.818 \| good	0.82 \| good	6.677 \| good	0.18 \| good
2025-10-17T01:00:00.000Z	33 \| good	5.562 \| good	23.87 \| good	10.415 \| good	0.928 \| good	9.083 \| good	0.198 \| good
2025-10-17T02:00:00.000Z	38 \| good	7.226 \| good	31.632 \| good	6.374 \| good	1.035 \| good	11.489 \| good	0.215 \| good
2025-10-17T03:00:00.000Z	44 \| good	8.098 \| good	35.732 \| good	5.479 \| good	1.143 \| good	13.895 \| good	0.233 \| good
2025-10-17T04:00:00.000Z	44 \| good	8.073 \| good	35.539 \| good	5.722 \| good	1.169 \| good	14.906 \| good	0.245 \| good
2025-10-17T05:00:00.000Z	44 \| good	7.615 \| good	33.433 \| good	5.472 \| good	1.194 \| good	15.918 \| good	0.256 \| good
2025-10-17T06:00:00.000Z	38 \| good	6.869 \| good	30.452 \| good	6.544 \| good	1.22 \| good	16.929 \| good	0.267 \| good
2025-10-17T07:00:00.000Z	38 \| good	6.524 \| good	28.785 \| good	9.864 \| good	1.242 \| good	15.067 \| good	0.254 \| good
2025-10-17T08:00:00.000Z	33 \| good	6.453 \| good	28.825 \| good	12.249 \| good	1.264 \| good	13.204 \| good	0.241 \| good
2025-10-17T09:00:00.000Z	38 \| good	6.833 \| good	29.981 \| good	10.889 \| good	1.286 \| good	11.342 \| good	0.228 \| good
2025-10-17T10:00:00.000Z	49 \| good	8.798 \| good	38.754 \| good	6.799 \| good	1.342 \| good	11.422 \| good	0.231 \| good
2025-10-17T11:00:00.000Z	52 \| moderate	9.71 \| good	43.423 \| good	4.441 \| good	1.397 \| good	11.503 \| good	0.233 \| good
2025-10-17T12:00:00.000Z	44 \| good	8.152 \| good	35.757 \| good	5.227 \| good	1.452 \| good	11.583 \| good	0.236 \| good
2025-10-17T13:00:00.000Z	38 \| good	7.022 \| good	30.858 \| good	12.018 \| good	1.609 \| good	9.477 \| good	0.219 \| good
2025-10-17T14:00:00.000Z	27 \| good	4.607 \| good	19.878 \| good	19.625 \| good	1.766 \| good	7.371 \| good	0.203 \| good
2025-10-17T15:00:00.000Z	23 \| good	2.408 \| good	9.946 \| good	24.725 \| good	1.922 \| good	5.266 \| good	0.187 \| good
2025-10-17T16:00:00.000Z	28 \| good	0.54 \| good	1.99 \| good	29.968 \| good	1.889 \| good	4.489 \| good	0.179 \| good
2025-10-17T17:00:00.000Z	30 \| good	1.032 \| good	3.996 \| good	31.877 \| good	1.855 \| good	3.712 \| good	0.171 \| good
2025-10-17T18:00:00.000Z	31 \| good	1.982 \| good	7.897 \| good	33.304 \| good	1.821 \| good	2.935 \| good	0.164 \| good
2025-10-17T19:00:00.000Z	31 \| good	2.811 \| good	11.697 \| good	33.72 \| good	1.809 \| good	3.138 \| good	0.165 \| good
2025-10-17T20:00:00.000Z	32 \| good	2.481 \| good	9.887 \| good	34.628 \| good	1.796 \| good	3.341 \| good	0.166 \| good
2025-10-17T21:00:00.000Z	33 \| good	2.49 \| good	10.003 \| good	36.29 \| good	1.783 \| good	3.544 \| good	0.167 \| good
2025-10-17T22:00:00.000Z	28 \| good	2.242 \| good	8.935 \| good	29.532 \| good	1.796 \| good	6.7 \| good	0.192 \| good
2025-10-17T23:00:00.000Z	19 \| good	2.209 \| good	8.809 \| good	20.049 \| good	1.808 \| good	9.856 \| good	0.218 \| good
2025-10-18T00:00:00.000Z	20 \| good	2.84 \| good	11.807 \| good	22.023 \| good	1.82 \| good	13.012 \| good	0.243 \| good
2025-10-18T01:00:00.000Z	23 \| good	3.806 \| good	16.722 \| good	24.963 \| good	2.073 \| good	12.042 \| good	0.235 \| good
2025-10-18T02:00:00.000Z	23 \| good	4.46 \| good	19.635 \| good	25.328 \| good	2.325 \| good	11.072 \| good	0.227 \| good
2025-10-18T03:00:00.000Z	26 \| good	4.054 \| good	17.92 \| good	28.162 \| good	2.578 \| good	10.101 \| good	0.22 \| good
2025-10-18T04:00:00.000Z	25 \| good	4.32 \| good	19.055 \| good	26.916 \| good	2.829 \| good	9.03 \| good	0.211 \| good
2025-10-18T05:00:00.000Z	24 \| good	3.718 \| good	16.169 \| good	26.32 \| good	3.08 \| good	7.958 \| good	0.201 \| good
2025-10-18T06:00:00.000Z	22 \| good	3.942 \| good	17.052 \| good	23.461 \| good	3.331 \| good	6.887 \| good	0.192 \| good
2025-10-18T07:00:00.000Z	23 \| good	4.057 \| good	17.862 \| good	24.505 \| good	3.71 \| good	6.042 \| good	0.185 \| good
2025-10-18T08:00:00.000Z	22 \| good	4.073 \| good	17.882 \| good	23.903 \| good	4.09 \| good	5.198 \| good	0.177 \| good
2025-10-18T09:00:00.000Z	23 \| good	3.56 \| good	15.801 \| good	24.518 \| good	4.469 \| good	4.353 \| good	0.17 \| good
2025-10-18T10:00:00.000Z	22 \| good	4.28 \| good	18.793 \| good	24.455 \| good	4.814 \| good	4.889 \| good	0.173 \| good
2025-10-18T11:00:00.000Z	27 \| good	4.611 \| good	19.996 \| good	24.136 \| good	5.159 \| good	5.425 \| good	0.177 \| good
2025-10-18T12:00:00.000Z	24 \| good	4.108 \| good	17.844 \| good	25.534 \| good	5.503 \| good	5.961 \| good	0.18 \| good
2025-10-18T13:00:00.000Z	27 \| good	4.688 \| good	20.638 \| good	27.015 \| good	5.264 \| good	5.719 \| good	0.183 \| good
2025-10-18T14:00:00.000Z	28 \| good	5.073 \| good	21.742 \| good	29.666 \| good	5.025 \| good	5.477 \| good	0.186 \| good
2025-10-18T15:00:00.000Z	31 \| good	5.284 \| good	22.803 \| good	33.1 \| good	4.786 \| good	5.235 \| good	0.189 \| good
2025-10-18T16:00:00.000Z	33 \| good	4.546 \| good	19.922 \| good	36.398 \| good	4.338 \| good	4.31 \| good	0.182 \| good
2025-10-18T17:00:00.000Z	39 \| good	4.768 \| good	20.776 \| good	41.635 \| good	3.89 \| good	3.386 \| good	0.175 \| good
2025-10-18T18:00:00.000Z	44 \| good	5.833 \| good	25.203 \| good	46.842 \| good	3.441 \| good	2.462 \| good	0.167 \| good
2025-10-18T19:00:00.000Z	43 \| good	7.071 \| good	31.682 \| good	46.318 \| good	3.04 \| good	2.574 \| good	0.17 \| good

Maple Heights

Get reliable air quality data to drive your business

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

0.20ppm

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 Maple Heights, Ohio updated?

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

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

The worst air quality in Maple Heights, Ohio in the last 24 hours was observed at 03:00:00 on 2025-10-22.

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

In the last 24 hrs, the best air quality in Maple Heights, Ohio was observed at 05:00:00 on 2025-10-21.

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

The current air quality in Maple Heights, Ohio is 29, categorized as Good based on real-time data.

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

The most common pollutant in Maple Heights, Ohio is O3.

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

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

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

The current PM_2.5 concentration at Maple Heights, Ohio is 2.571 μg/m³.

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

The current PM₁₀ concentration at Maple Heights, Ohio is 9.073 μg/m³.

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

The current carbon monoxide (CO) concentration at Maple Heights, Ohio is 0.106 ppm.

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

The current sulfur dioxide (SO₂) concentration at Maple Heights, Ohio is 1.445 ppb.

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

The current ozone (O₃) concentration at Maple Heights, Ohio is 31.218 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Maple Heights, Ohio is 2.449 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T05:00:00.000Z	26 \| good	2.988 \| good	6.931 \| good	28.205 \| good	1.265 \| good	1.157 \| good	0.102 \| good
2025-10-20T06:00:00.000Z	28 \| good	3.178 \| good	6.991 \| good	29.819 \| good	1.301 \| good	1.144 \| good	0.102 \| good
2025-10-20T07:00:00.000Z	28 \| good	3.104 \| good	7.251 \| good	30.399 \| good	1.106 \| good	1.145 \| good	0.101 \| good
2025-10-20T08:00:00.000Z	28 \| good	3.049 \| good	7.418 \| good	30.025 \| good	1.023 \| good	1.144 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	23 \| good	3.049 \| good	7.112 \| good	25.498 \| good	1.1 \| good	2.815 \| good	0.101 \| good
2025-10-20T10:00:00.000Z	20 \| good	3.329 \| good	8.352 \| good	22.429 \| good	1.098 \| good	3.968 \| good	0.106 \| good
2025-10-20T11:00:00.000Z	19 \| good	3.459 \| good	9.103 \| good	20.773 \| good	1.054 \| good	5.525 \| good	0.112 \| good
2025-10-20T12:00:00.000Z	20 \| good	3.462 \| good	9.486 \| good	22.065 \| good	1.163 \| good	5.718 \| good	0.203 \| good
2025-10-20T13:00:00.000Z	19 \| good	3.443 \| good	9.639 \| good	20.303 \| good	1.163 \| good	9.412 \| good	0.218 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.552 \| good	10.156 \| good	16.112 \| good	1.37 \| good	10.557 \| good	0.205 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.743 \| good	11.123 \| good	15.328 \| good	0.988 \| good	8.987 \| good	0.2 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.729 \| good	10.931 \| good	15.923 \| good	1.286 \| good	7.229 \| good	0.196 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.696 \| good	11.373 \| good	15.925 \| good	1.226 \| good	7.033 \| good	0.187 \| good
2025-10-20T18:00:00.000Z	22 \| good	3.651 \| good	12.421 \| good	22.134 \| good	1.225 \| good	5.42 \| good	0.181 \| good
2025-10-20T19:00:00.000Z	23 \| good	3.222 \| good	11.277 \| good	24.876 \| good	1.217 \| good	3.777 \| good	0.18 \| good
2025-10-20T20:00:00.000Z	24 \| good	3.07 \| good	10.149 \| good	25.857 \| good	1.298 \| good	3.618 \| good	0.186 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.881 \| good	8.65 \| good	28.692 \| good	1.269 \| good	2.63 \| good	0.186 \| good
2025-10-20T22:00:00.000Z	27 \| good	2.838 \| good	8.905 \| good	29.377 \| good	1.741 \| good	2.3 \| good	0.194 \| good
2025-10-20T23:00:00.000Z	28 \| good	2.791 \| good	8.514 \| good	29.585 \| good	0.854 \| good	3.261 \| good	0.191 \| good
2025-10-21T00:00:00.000Z	27 \| good	2.79 \| good	8.829 \| good	28.842 \| good	1.086 \| good	4.428 \| good	0.206 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.069 \| good	10.148 \| good	24.446 \| good	1.377 \| good	11.731 \| good	0.296 \| good
2025-10-21T02:00:00.000Z	22 \| good	3.839 \| good	13.475 \| good	18.426 \| good	1.377 \| good	19.166 \| good	0.673 \| good
2025-10-21T03:00:00.000Z	62 \| moderate	14.519 \| fine	64.769 \| fine	18.557 \| good	0.879 \| good	12.04 \| good	0.222 \| good
2025-10-21T04:00:00.000Z	27 \| good	5.101 \| good	15.789 \| good	10.63 \| good	1.361 \| good	23.003 \| good	0.198 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.43 \| good	16.288 \| good	7.722 \| good	1.64 \| good	19.316 \| good	0.189 \| good
2025-10-21T06:00:00.000Z	33 \| good	5.795 \| good	16.843 \| good	7.916 \| good	2.566 \| good	16.739 \| good	0.267 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.825 \| good	16.689 \| good	9.243 \| good	1.494 \| good	14.98 \| good	0.264 \| good
2025-10-21T08:00:00.000Z	27 \| good	5.423 \| good	15.985 \| good	13.647 \| good	1.245 \| good	9.918 \| good	0.185 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.713 \| good	14.492 \| good	17.922 \| good	1.511 \| good	6.348 \| good	0.344 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.419 \| good	14.655 \| good	20.548 \| good	1.575 \| good	7.288 \| good	0.202 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.243 \| good	15.281 \| good	21.72 \| good	1.359 \| good	6.375 \| good	0.27 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.043 \| good	14.285 \| good	22.35 \| good	1.526 \| good	7.529 \| good	0.754 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.092 \| good	14.438 \| good	22.404 \| good	1.658 \| good	10.673 \| good	0.22 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.269 \| good	13.56 \| good	22.005 \| good	1.701 \| good	11.535 \| good	0.222 \| good
2025-10-21T15:00:00.000Z	22 \| good	4.192 \| good	12.134 \| good	22.215 \| good	1.288 \| good	9.388 \| good	0.284 \| good
2025-10-21T16:00:00.000Z	22 \| good	4.205 \| good	12.427 \| good	21.344 \| good	1.699 \| good	7.268 \| good	0.184 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.18 \| good	12.209 \| good	24.408 \| good	1.332 \| good	4.506 \| good	0.182 \| good
2025-10-21T18:00:00.000Z	25 \| good	4.073 \| good	13.074 \| good	26.848 \| good	1.295 \| good	3.585 \| good	0.102 \| good
2025-10-21T19:00:00.000Z	29 \| good	3.891 \| good	12.795 \| good	30.731 \| good	1.577 \| good	2.575 \| good	0.102 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.74 \| good	12.441 \| good	32.818 \| good	1.757 \| good	2.54 \| good	0.107 \| good
2025-10-21T21:00:00.000Z	31 \| good	3.524 \| good	12.432 \| good	34.082 \| good	1.224 \| good	2.377 \| good	0.118 \| good
2025-10-21T22:00:00.000Z	31 \| good	3.235 \| good	12.28 \| good	32.747 \| good	1.503 \| good	2.481 \| good	0.116 \| good
2025-10-21T23:00:00.000Z	31 \| good	2.988 \| good	10.712 \| good	33.223 \| good	1.526 \| good	2.494 \| good	0.119 \| good
2025-10-22T00:00:00.000Z	30 \| good	2.916 \| good	11.329 \| good	32.385 \| good	1.507 \| good	3.473 \| good	0.111 \| good
2025-10-22T01:00:00.000Z	31 \| good	2.962 \| good	11.935 \| good	32.856 \| good	1.814 \| good	3.004 \| good	0.121 \| good
2025-10-22T02:00:00.000Z	30 \| good	2.856 \| good	10.238 \| good	32.366 \| good	1.409 \| good	3.879 \| good	0.197 \| good
2025-10-22T03:00:00.000Z	34 \| good	5.128 \| good	21.823 \| good	36.89 \| good	0.731 \| good	2.801 \| good	0.135 \| good
2025-10-22T04:00:00.000Z	29 \| good	2.571 \| good	9.073 \| good	31.218 \| good	1.445 \| good	2.449 \| good	0.106 \| good
2025-10-22T04:00:00.000Z	29 \| good	2.571 \| good	9.073 \| good	31.218 \| good	1.445 \| good	2.449 \| good	0.106 \| good
2025-10-16T20:00:00.000Z	29 \| good	0.43 \| good	1.854 \| good	30.717 \| good	0.703 \| good	1.463 \| good	0.143 \| good
2025-10-16T21:00:00.000Z	29 \| good	0.521 \| good	2 \| good	31.46 \| good	0.694 \| good	1.519 \| good	0.142 \| good
2025-10-16T22:00:00.000Z	26 \| good	0.738 \| good	2.882 \| good	28.405 \| good	0.736 \| good	3.239 \| good	0.154 \| good
2025-10-16T23:00:00.000Z	19 \| good	1.33 \| good	5.152 \| good	20.891 \| good	0.778 \| good	4.958 \| good	0.167 \| good
2025-10-17T00:00:00.000Z	16 \| good	2.583 \| good	10.798 \| good	15.818 \| good	0.82 \| good	6.677 \| good	0.18 \| good
2025-10-17T01:00:00.000Z	33 \| good	5.562 \| good	23.87 \| good	10.415 \| good	0.928 \| good	9.083 \| good	0.198 \| good
2025-10-17T02:00:00.000Z	38 \| good	7.226 \| good	31.632 \| good	6.374 \| good	1.035 \| good	11.489 \| good	0.215 \| good
2025-10-17T03:00:00.000Z	44 \| good	8.098 \| good	35.732 \| good	5.479 \| good	1.143 \| good	13.895 \| good	0.233 \| good
2025-10-17T04:00:00.000Z	44 \| good	8.073 \| good	35.539 \| good	5.722 \| good	1.169 \| good	14.906 \| good	0.245 \| good
2025-10-17T05:00:00.000Z	44 \| good	7.615 \| good	33.433 \| good	5.472 \| good	1.194 \| good	15.918 \| good	0.256 \| good
2025-10-17T06:00:00.000Z	38 \| good	6.869 \| good	30.452 \| good	6.544 \| good	1.22 \| good	16.929 \| good	0.267 \| good
2025-10-17T07:00:00.000Z	38 \| good	6.524 \| good	28.785 \| good	9.864 \| good	1.242 \| good	15.067 \| good	0.254 \| good
2025-10-17T08:00:00.000Z	33 \| good	6.453 \| good	28.825 \| good	12.249 \| good	1.264 \| good	13.204 \| good	0.241 \| good
2025-10-17T09:00:00.000Z	38 \| good	6.833 \| good	29.981 \| good	10.889 \| good	1.286 \| good	11.342 \| good	0.228 \| good
2025-10-17T10:00:00.000Z	49 \| good	8.798 \| good	38.754 \| good	6.799 \| good	1.342 \| good	11.422 \| good	0.231 \| good
2025-10-17T11:00:00.000Z	52 \| moderate	9.71 \| good	43.423 \| good	4.441 \| good	1.397 \| good	11.503 \| good	0.233 \| good
2025-10-17T12:00:00.000Z	44 \| good	8.152 \| good	35.757 \| good	5.227 \| good	1.452 \| good	11.583 \| good	0.236 \| good
2025-10-17T13:00:00.000Z	38 \| good	7.022 \| good	30.858 \| good	12.018 \| good	1.609 \| good	9.477 \| good	0.219 \| good
2025-10-17T14:00:00.000Z	27 \| good	4.607 \| good	19.878 \| good	19.625 \| good	1.766 \| good	7.371 \| good	0.203 \| good
2025-10-17T15:00:00.000Z	23 \| good	2.408 \| good	9.946 \| good	24.725 \| good	1.922 \| good	5.266 \| good	0.187 \| good
2025-10-17T16:00:00.000Z	28 \| good	0.54 \| good	1.99 \| good	29.968 \| good	1.889 \| good	4.489 \| good	0.179 \| good
2025-10-17T17:00:00.000Z	30 \| good	1.032 \| good	3.996 \| good	31.877 \| good	1.855 \| good	3.712 \| good	0.171 \| good
2025-10-17T18:00:00.000Z	31 \| good	1.982 \| good	7.897 \| good	33.304 \| good	1.821 \| good	2.935 \| good	0.164 \| good
2025-10-17T19:00:00.000Z	31 \| good	2.811 \| good	11.697 \| good	33.72 \| good	1.809 \| good	3.138 \| good	0.165 \| good
2025-10-17T20:00:00.000Z	32 \| good	2.481 \| good	9.887 \| good	34.628 \| good	1.796 \| good	3.341 \| good	0.166 \| good
2025-10-17T21:00:00.000Z	33 \| good	2.49 \| good	10.003 \| good	36.29 \| good	1.783 \| good	3.544 \| good	0.167 \| good
2025-10-17T22:00:00.000Z	28 \| good	2.242 \| good	8.935 \| good	29.532 \| good	1.796 \| good	6.7 \| good	0.192 \| good
2025-10-17T23:00:00.000Z	19 \| good	2.209 \| good	8.809 \| good	20.049 \| good	1.808 \| good	9.856 \| good	0.218 \| good
2025-10-18T00:00:00.000Z	20 \| good	2.84 \| good	11.807 \| good	22.023 \| good	1.82 \| good	13.012 \| good	0.243 \| good
2025-10-18T01:00:00.000Z	23 \| good	3.806 \| good	16.722 \| good	24.963 \| good	2.073 \| good	12.042 \| good	0.235 \| good
2025-10-18T02:00:00.000Z	23 \| good	4.46 \| good	19.635 \| good	25.328 \| good	2.325 \| good	11.072 \| good	0.227 \| good
2025-10-18T03:00:00.000Z	26 \| good	4.054 \| good	17.92 \| good	28.162 \| good	2.578 \| good	10.101 \| good	0.22 \| good
2025-10-18T04:00:00.000Z	25 \| good	4.32 \| good	19.055 \| good	26.916 \| good	2.829 \| good	9.03 \| good	0.211 \| good
2025-10-18T05:00:00.000Z	24 \| good	3.718 \| good	16.169 \| good	26.32 \| good	3.08 \| good	7.958 \| good	0.201 \| good
2025-10-18T06:00:00.000Z	22 \| good	3.942 \| good	17.052 \| good	23.461 \| good	3.331 \| good	6.887 \| good	0.192 \| good
2025-10-18T07:00:00.000Z	23 \| good	4.057 \| good	17.862 \| good	24.505 \| good	3.71 \| good	6.042 \| good	0.185 \| good
2025-10-18T08:00:00.000Z	22 \| good	4.073 \| good	17.882 \| good	23.903 \| good	4.09 \| good	5.198 \| good	0.177 \| good
2025-10-18T09:00:00.000Z	23 \| good	3.56 \| good	15.801 \| good	24.518 \| good	4.469 \| good	4.353 \| good	0.17 \| good
2025-10-18T10:00:00.000Z	22 \| good	4.28 \| good	18.793 \| good	24.455 \| good	4.814 \| good	4.889 \| good	0.173 \| good
2025-10-18T11:00:00.000Z	27 \| good	4.611 \| good	19.996 \| good	24.136 \| good	5.159 \| good	5.425 \| good	0.177 \| good
2025-10-18T12:00:00.000Z	24 \| good	4.108 \| good	17.844 \| good	25.534 \| good	5.503 \| good	5.961 \| good	0.18 \| good
2025-10-18T13:00:00.000Z	27 \| good	4.688 \| good	20.638 \| good	27.015 \| good	5.264 \| good	5.719 \| good	0.183 \| good
2025-10-18T14:00:00.000Z	28 \| good	5.073 \| good	21.742 \| good	29.666 \| good	5.025 \| good	5.477 \| good	0.186 \| good
2025-10-18T15:00:00.000Z	31 \| good	5.284 \| good	22.803 \| good	33.1 \| good	4.786 \| good	5.235 \| good	0.189 \| good
2025-10-18T16:00:00.000Z	33 \| good	4.546 \| good	19.922 \| good	36.398 \| good	4.338 \| good	4.31 \| good	0.182 \| good
2025-10-18T17:00:00.000Z	39 \| good	4.768 \| good	20.776 \| good	41.635 \| good	3.89 \| good	3.386 \| good	0.175 \| good
2025-10-18T18:00:00.000Z	44 \| good	5.833 \| good	25.203 \| good	46.842 \| good	3.441 \| good	2.462 \| good	0.167 \| good
2025-10-18T19:00:00.000Z	43 \| good	7.071 \| good	31.682 \| good	46.318 \| good	3.04 \| good	2.574 \| good	0.17 \| good

Maple Heights, Ohio live air quality index now

Major air pollutants in Maple 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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Maple Heights, Ohio air quality map: Track AQI near you

Air quality in nearby cities

Garfield Heights, Ohio

Bedford, Ohio

Warrensville Heights, Ohio

Bedford Heights, Ohio

Shaker Heights, Ohio

Beachwood, Ohio

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Frequently asked questions

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

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

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

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

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

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

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

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

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

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