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

The current PM10 concentration at Maple Heights, Ohio is 19.345 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 5.212 ppb.

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

The current ozone (O3) concentration at Maple Heights, Ohio is 42.78 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 1.435 ppb.

Maple Heights, Ohio live air quality index now

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

The current PM2.5 concentration at Maple Heights, Ohio is 3.658 μg/m3.

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)

3.66 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.34 μg/m³

155

255

425

605+

Ozone (O₃)

42.78 ppb

201

201+

Sulfur Dioxide (SO₂)

5.21 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.44 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

Please contact us for custom requests

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
2026-03-07T22:00:00.000Z	29 \| good	2.8 \| good	10.086 \| good	31.343 \| good	1.323 \| good	3.999 \| good	0.121 \| good
2026-03-07T23:00:00.000Z	33 \| good	2.446 \| good	9.219 \| good	35.847 \| good	1.483 \| good	3.748 \| good	0.199 \| good
2026-03-08T00:00:00.000Z	34 \| good	2.475 \| good	9.227 \| good	36.565 \| good	1.347 \| good	1.381 \| good	0.19 \| good
2026-03-08T01:00:00.000Z	37 \| good	2.545 \| good	9.579 \| good	39.967 \| good	1.28 \| good	1.39 \| good	0.198 \| good
2026-03-08T02:00:00.000Z	35 \| good	2.519 \| good	9.448 \| good	37.628 \| good	1.291 \| good	1.402 \| good	0.197 \| good
2026-03-08T03:00:00.000Z	39 \| good	3.849 \| good	16.816 \| good	41.724 \| good	0.936 \| good	4.555 \| good	0.131 \| good
2026-03-08T04:00:00.000Z	35 \| good	2.512 \| good	9.129 \| good	37.856 \| good	1.358 \| good	1.414 \| good	0.12 \| good
2026-03-08T05:00:00.000Z	36 \| good	2.685 \| good	9.685 \| good	38.656 \| good	1.222 \| good	4.21 \| good	0.122 \| good
2026-03-08T06:00:00.000Z	35 \| good	2.816 \| good	10.427 \| good	38.395 \| good	1.209 \| good	3.735 \| good	0.124 \| good
2026-03-08T07:00:00.000Z	28 \| good	4.087 \| good	15.333 \| good	30.317 \| good	1.366 \| good	1.373 \| good	0.122 \| good
2026-03-08T08:00:00.000Z	27 \| good	4.954 \| good	18.382 \| good	28.657 \| good	1.265 \| good	2.133 \| good	0.195 \| good
2026-03-08T09:00:00.000Z	22 \| good	4.12 \| good	15.952 \| good	22.962 \| good	1.263 \| good	3.003 \| good	0.202 \| good
2026-03-08T10:00:00.000Z	21 \| good	3.495 \| good	13.024 \| good	22.583 \| good	1.194 \| good	2.912 \| good	0.2 \| good
2026-03-08T11:00:00.000Z	18 \| good	2.9 \| good	11.787 \| good	19.101 \| good	1.279 \| good	2.913 \| good	0.2 \| good
2026-03-08T12:00:00.000Z	16 \| good	2.586 \| good	11.02 \| good	16.842 \| good	1.282 \| good	4.781 \| good	0.2 \| good
2026-03-08T13:00:00.000Z	16 \| good	2.516 \| good	9.56 \| good	17.128 \| good	1.343 \| good	5.843 \| good	0.19 \| good
2026-03-08T14:00:00.000Z	16 \| good	2.559 \| good	9.263 \| good	16.9 \| good	1.582 \| good	5.049 \| good	0.191 \| good
2026-03-08T15:00:00.000Z	19 \| good	2.99 \| good	9.901 \| good	19.697 \| good	1.554 \| good	4.04 \| good	0.199 \| good
2026-03-08T16:00:00.000Z	23 \| good	3.884 \| good	13.662 \| good	24.743 \| good	1.615 \| good	2.001 \| good	0.2 \| good
2026-03-08T17:00:00.000Z	27 \| good	4.176 \| good	15.362 \| good	29.382 \| good	1.722 \| good	1.151 \| good	0.194 \| good
2026-03-08T18:00:00.000Z	27 \| good	3.834 \| good	14.174 \| good	29.03 \| good	1.757 \| good	1.165 \| good	0.192 \| good
2026-03-08T19:00:00.000Z	29 \| good	3.627 \| good	13.728 \| good	31.274 \| good	1.678 \| good	1.254 \| good	0.188 \| good
2026-03-08T20:00:00.000Z	31 \| good	3.389 \| good	13.648 \| good	34.054 \| good	1.479 \| good	3.388 \| good	0.192 \| good
2026-03-08T21:00:00.000Z	31 \| good	3.01 \| good	11.849 \| good	33.598 \| good	2.376 \| good	2.24 \| good	0.11 \| good
2026-03-08T22:00:00.000Z	32 \| good	2.73 \| good	10.6 \| good	34.607 \| good	2.213 \| good	1.707 \| good	0.19 \| good
2026-03-08T23:00:00.000Z	33 \| good	2.594 \| good	10.235 \| good	35.671 \| good	1.728 \| good	2.672 \| good	0.192 \| good
2026-03-09T00:00:00.000Z	38 \| good	2.525 \| good	10.053 \| good	41.077 \| good	1.374 \| good	2.864 \| good	0.192 \| good
2026-03-09T01:00:00.000Z	38 \| good	2.525 \| good	9.933 \| good	40.952 \| good	5.143 \| good	1.292 \| good	0.202 \| good
2026-03-09T02:00:00.000Z	36 \| good	2.712 \| good	10.795 \| good	39.169 \| good	3.95 \| good	2.372 \| good	0.203 \| good
2026-03-09T03:00:00.000Z	31 \| good	3.252 \| good	14.315 \| good	34.397 \| good	0.59 \| good	5.155 \| good	0.198 \| good
2026-03-09T04:00:00.000Z	33 \| good	2.866 \| good	12.701 \| good	35.758 \| good	4.059 \| good	3.483 \| good	0.204 \| good
2026-03-09T05:00:00.000Z	32 \| good	2.916 \| good	12.588 \| good	34.988 \| good	1.36 \| good	3.195 \| good	0.198 \| good
2026-03-09T06:00:00.000Z	31 \| good	2.979 \| good	12.406 \| good	34.16 \| good	1.376 \| good	3.835 \| good	0.191 \| good
2026-03-09T07:00:00.000Z	33 \| good	3.004 \| good	12.099 \| good	35.772 \| good	1.508 \| good	4.721 \| good	0.189 \| good
2026-03-09T08:00:00.000Z	32 \| good	2.966 \| good	11.303 \| good	34.617 \| good	1.346 \| good	5.761 \| good	0.187 \| good
2026-03-09T09:00:00.000Z	28 \| good	2.973 \| good	11.242 \| good	29.918 \| good	1.216 \| good	5.776 \| good	0.187 \| good
2026-03-09T10:00:00.000Z	25 \| good	3.103 \| good	11.793 \| good	26.862 \| good	1.543 \| good	6.746 \| good	0.206 \| good
2026-03-09T11:00:00.000Z	22 \| good	3.328 \| good	13.237 \| good	24.082 \| good	1.2 \| good	8.743 \| good	0.198 \| good
2026-03-09T12:00:00.000Z	24 \| good	3.329 \| good	12.994 \| good	25.939 \| good	1.426 \| good	10.756 \| good	0.201 \| good
2026-03-09T13:00:00.000Z	22 \| good	3.627 \| good	15.284 \| good	21.909 \| good	1.889 \| good	13.603 \| good	0.209 \| good
2026-03-09T14:00:00.000Z	22 \| good	4.017 \| good	18.002 \| good	24.399 \| good	2.611 \| good	13.605 \| good	0.211 \| good
2026-03-09T15:00:00.000Z	23 \| good	4.136 \| good	19.096 \| good	24.544 \| good	2.025 \| good	9.02 \| good	0.204 \| good
2026-03-09T16:00:00.000Z	26 \| good	4.025 \| good	18.726 \| good	28.428 \| good	2.014 \| good	5.432 \| good	0.198 \| good
2026-03-09T17:00:00.000Z	27 \| good	3.946 \| good	18.136 \| good	28.755 \| good	1.94 \| good	4.303 \| good	0.197 \| good
2026-03-09T18:00:00.000Z	30 \| good	3.835 \| good	18.881 \| good	31.761 \| good	6.616 \| good	2.501 \| good	0.195 \| good
2026-03-09T19:00:00.000Z	34 \| good	3.71 \| good	18.635 \| good	37.182 \| good	6.278 \| good	1.618 \| good	0.196 \| good
2026-03-09T20:00:00.000Z	38 \| good	3.661 \| good	18.338 \| good	40.682 \| good	4.932 \| good	1.522 \| good	0.198 \| good
2026-03-09T21:00:00.000Z	40 \| good	3.587 \| good	18.776 \| good	42.736 \| good	5.366 \| good	1.434 \| good	0.2 \| good
2026-03-09T21:00:00.000Z	40 \| good	3.658 \| good	19.345 \| good	42.78 \| good	5.212 \| good	1.435 \| good	0.2 \| good
2026-03-09T22:00:00.000Z	41 \| good	4.921 \| good	21.43 \| good	44.103 \| good	1.856 \| good	3.456 \| good	0.176 \| good
2026-03-09T23:00:00.000Z	41 \| good	3.77 \| good	16.362 \| good	43.61 \| good	1.869 \| good	4.584 \| good	0.183 \| good
2026-03-10T00:00:00.000Z	39 \| good	3.593 \| good	15.734 \| good	42.169 \| good	1.882 \| good	5.711 \| good	0.189 \| good
2026-03-10T01:00:00.000Z	38 \| good	4.093 \| good	17.816 \| good	40.649 \| good	1.897 \| good	5.603 \| good	0.188 \| good
2026-03-10T02:00:00.000Z	44 \| good	7.535 \| good	33.242 \| good	37.471 \| good	1.912 \| good	5.494 \| good	0.187 \| good
2026-03-10T03:00:00.000Z	44 \| good	8.036 \| good	35.023 \| good	36.081 \| good	1.927 \| good	5.386 \| good	0.186 \| good
2026-03-10T04:00:00.000Z	49 \| good	8.593 \| good	37.979 \| good	34.425 \| good	1.899 \| good	5.064 \| good	0.182 \| good
2026-03-10T05:00:00.000Z	44 \| good	7.808 \| good	34.194 \| good	32.907 \| good	1.871 \| good	4.742 \| good	0.178 \| good
2026-03-10T06:00:00.000Z	31 \| good	4.282 \| good	18.931 \| good	33.124 \| good	1.843 \| good	4.42 \| good	0.174 \| good
2026-03-10T07:00:00.000Z	30 \| good	1.931 \| good	7.893 \| good	31.639 \| good	1.858 \| good	4.132 \| good	0.169 \| good
2026-03-10T08:00:00.000Z	28 \| good	1.586 \| good	6.548 \| good	29.574 \| good	1.873 \| good	3.843 \| good	0.163 \| good
2026-03-10T09:00:00.000Z	26 \| good	1.659 \| good	6.695 \| good	27.746 \| good	1.888 \| good	3.555 \| good	0.158 \| good
2026-03-10T10:00:00.000Z	33 \| good	6.151 \| good	26.817 \| good	24.709 \| good	1.803 \| good	3.975 \| good	0.158 \| good
2026-03-10T11:00:00.000Z	38 \| good	7.047 \| good	31.167 \| good	21.97 \| good	1.719 \| good	4.394 \| good	0.158 \| good
2026-03-10T12:00:00.000Z	44 \| good	8.218 \| good	35.973 \| good	19.86 \| good	1.635 \| good	4.814 \| good	0.159 \| good
2026-03-10T13:00:00.000Z	44 \| good	8.12 \| good	35.738 \| good	21.326 \| good	1.541 \| good	4.96 \| good	0.164 \| good
2026-03-10T14:00:00.000Z	52 \| moderate	9.688 \| good	43.124 \| good	23.607 \| good	1.447 \| good	5.107 \| good	0.17 \| good
2026-03-10T15:00:00.000Z	28 \| good	3.17 \| good	13.71 \| good	30.134 \| good	1.353 \| good	5.254 \| good	0.176 \| good
2026-03-10T16:00:00.000Z	28 \| good	3.094 \| good	13.33 \| good	29.899 \| good	1.218 \| good	4.523 \| good	0.168 \| good
2026-03-10T17:00:00.000Z	28 \| good	5.419 \| good	23.617 \| good	29.621 \| good	1.084 \| good	3.792 \| good	0.161 \| good
2026-03-10T18:00:00.000Z	33 \| good	5.758 \| good	25.4 \| good	36.368 \| good	0.95 \| good	3.062 \| good	0.153 \| good
2026-03-10T19:00:00.000Z	31 \| good	5.267 \| good	22.71 \| good	33.023 \| good	0.895 \| good	3.045 \| good	0.15 \| good
2026-03-10T20:00:00.000Z	38 \| good	6.615 \| good	29.316 \| good	33.353 \| good	0.839 \| good	3.028 \| good	0.148 \| good
2026-03-10T21:00:00.000Z	44 \| good	7.567 \| good	33.473 \| good	30.473 \| good	0.784 \| good	3.011 \| good	0.145 \| good
2026-03-10T22:00:00.000Z	49 \| good	8.558 \| good	37.775 \| good	27.393 \| good	0.841 \| good	4.851 \| good	0.156 \| good
2026-03-10T23:00:00.000Z	44 \| good	8.287 \| good	36.399 \| good	26.888 \| good	0.898 \| good	6.69 \| good	0.168 \| good
2026-03-11T00:00:00.000Z	31 \| good	5.195 \| good	22.214 \| good	34.378 \| good	0.954 \| good	8.53 \| good	0.179 \| good
2026-03-11T01:00:00.000Z	33 \| good	4.71 \| good	20.325 \| good	35.707 \| good	1.045 \| good	7.852 \| good	0.173 \| good
2026-03-11T02:00:00.000Z	44 \| good	8.223 \| good	36.054 \| good	32.004 \| good	1.136 \| good	7.174 \| good	0.167 \| good
2026-03-11T03:00:00.000Z	49 \| good	9.087 \| good	40.548 \| good	32.428 \| good	1.227 \| good	6.496 \| good	0.161 \| good
2026-03-11T04:00:00.000Z	52 \| moderate	9.691 \| good	43.25 \| good	31.788 \| good	1.358 \| good	5.559 \| good	0.152 \| good
2026-03-11T05:00:00.000Z	49 \| good	8.585 \| good	37.62 \| good	32.427 \| good	1.489 \| good	4.622 \| good	0.144 \| good
2026-03-11T06:00:00.000Z	33 \| good	5.501 \| good	5.563 \| good	29.025 \| good	1.588 \| good	3.686 \| good	0.136 \| good
2026-03-11T07:00:00.000Z	32 \| good	2.223 \| good	9.022 \| good	34.729 \| good	1.542 \| good	3.351 \| good	0.133 \| good
2026-03-11T08:00:00.000Z	31 \| good	0.929 \| good	3.714 \| good	32.879 \| good	1.465 \| good	3.017 \| good	0.131 \| good
2026-03-11T09:00:00.000Z	30 \| good	1.088 \| good	4.431 \| good	32.268 \| good	1.387 \| good	2.683 \| good	0.128 \| good
2026-03-11T10:00:00.000Z	31 \| good	4.002 \| good	17.592 \| good	32.859 \| good	1.294 \| good	2.872 \| good	0.129 \| good
2026-03-11T11:00:00.000Z	29 \| good	3.108 \| good	13.255 \| good	30.772 \| good	1.202 \| good	3.06 \| good	0.129 \| good
2026-03-11T12:00:00.000Z	38 \| good	7.325 \| good	7.43 \| good	26.669 \| good	1.094 \| good	3.233 \| good	0.129 \| good
2026-03-11T13:00:00.000Z	44 \| good	7.943 \| good	8.04 \| good	25.894 \| good	1.018 \| good	3.648 \| good	0.132 \| good
2026-03-11T14:00:00.000Z	44 \| good	7.589 \| good	7.674 \| good	25.119 \| good	0.942 \| good	4.064 \| good	0.136 \| good
2026-03-11T15:00:00.000Z	38 \| good	7.161 \| good	7.248 \| good	24.344 \| good	0.866 \| good	4.479 \| good	0.139 \| good
2026-03-11T16:00:00.000Z	33 \| good	5.542 \| good	5.597 \| good	25.968 \| good	0.785 \| good	4.036 \| good	0.137 \| good
2026-03-11T17:00:00.000Z	30 \| good	5.155 \| good	22.205 \| good	31.804 \| good	0.712 \| good	3.593 \| good	0.134 \| good
2026-03-11T18:00:00.000Z	27 \| good	2.757 \| good	2.772 \| good	29.218 \| good	0.623 \| good	3.15 \| good	0.132 \| good
2026-03-11T19:00:00.000Z	27 \| good	2.397 \| good	2.411 \| good	29.176 \| good	0.655 \| good	3.115 \| good	0.13 \| good
2026-03-11T20:00:00.000Z	27 \| good	3.072 \| good	3.097 \| good	29.134 \| good	0.686 \| good	3.079 \| good	0.128 \| good
2026-03-11T21:00:00.000Z	27 \| good	3.756 \| good	3.806 \| good	29.093 \| good	0.718 \| good	3.044 \| good	0.126 \| 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

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

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 08:00:00 on 2026-03-09.

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 02:00:00 on 2026-03-09.

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

The current air quality in Maple Heights, Ohio is 40, 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 3.658 μg/m³.

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

The current PM₁₀ concentration at Maple Heights, Ohio is 19.345 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 0.2 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 5.212 ppb.

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

The current ozone (O₃) concentration at Maple Heights, Ohio is 42.78 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 1.435 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions