What is the current level of PM10 in Parma Heights, Ohio?

Parma Heights, Ohio currently has a PM10 concentration of 14.17 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Parma Heights, Ohio is 1.291 ppb.

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

Parma Heights, Ohio currently has an ozone (O3) concentration of 28.911 ppm.

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

The current level of nitrogen dioxide (NO2) in Parma Heights, Ohio is 4.156 ppb.

Current air quality index in Parma Heights, Ohio today

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

Stay updated with real-time air quality in Parma 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

Parma Heights, Ohio

Last updated: ... (Local time)

Common air pollutants in Parma Heights, Ohio

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.35 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

14.17 μg/m³

155

255

425

605+

Ozone (O₃)

28.91 ppb

201

201+

Sulfur Dioxide (SO₂)

1.29 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.16 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.10 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Parma Heights, Ohio

Get Live Pollen Counts

Parma Heights, Ohio

Scroll To Air Quality Map

Track live Parma Heights, Ohio air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	27 \| good	4.488 \| good	7.769 \| good	29.156 \| good	1.322 \| good	1.523 \| good	0.102 \| good
2025-10-20T07:00:00.000Z	26 \| good	4.049 \| good	10.111 \| good	27.985 \| good	0.866 \| good	1.553 \| good	0.101 \| good
2025-10-20T08:00:00.000Z	26 \| good	3.932 \| good	12.543 \| good	28.051 \| good	0.744 \| good	1.56 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	22 \| good	3.831 \| good	10.049 \| good	22.095 \| good	1.134 \| good	2.215 \| good	0.101 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.998 \| good	8.815 \| good	22.427 \| good	1.149 \| good	3.759 \| good	0.106 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.636 \| good	10.164 \| good	23.51 \| good	0.82 \| good	3.564 \| good	0.112 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.583 \| good	9.147 \| good	24.492 \| good	1.178 \| good	4.421 \| good	0.204 \| good
2025-10-20T13:00:00.000Z	24 \| good	3.533 \| good	9.446 \| good	25.551 \| good	1.177 \| good	6.711 \| good	0.219 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.11 \| good	12.341 \| good	20.051 \| good	1.19 \| good	8.365 \| good	0.205 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.396 \| good	14.489 \| good	19.253 \| good	1.079 \| good	8.536 \| good	0.2 \| good
2025-10-20T16:00:00.000Z	22 \| good	4.461 \| good	14.744 \| good	22.65 \| good	1.27 \| good	7.751 \| good	0.197 \| good
2025-10-20T17:00:00.000Z	22 \| good	4.316 \| good	17.078 \| good	21.761 \| good	0.98 \| good	6.665 \| good	0.187 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.778 \| good	13.99 \| good	24.937 \| good	0.964 \| good	6.028 \| good	0.182 \| good
2025-10-20T19:00:00.000Z	22 \| good	3.491 \| good	9.7 \| good	24.468 \| good	0.963 \| good	5.56 \| good	0.181 \| good
2025-10-20T20:00:00.000Z	22 \| good	3.463 \| good	11.428 \| good	24.243 \| good	1.098 \| good	4.975 \| good	0.186 \| good
2025-10-20T21:00:00.000Z	25 \| good	2.654 \| good	13.421 \| good	27.295 \| good	1.305 \| good	4.079 \| good	0.186 \| good
2025-10-20T22:00:00.000Z	30 \| good	3.245 \| good	11.072 \| good	32.193 \| good	1.969 \| good	4.616 \| good	0.194 \| good
2025-10-20T23:00:00.000Z	26 \| good	3.043 \| good	9.399 \| good	28.382 \| good	0.775 \| good	3.985 \| good	0.191 \| good
2025-10-21T00:00:00.000Z	26 \| good	2.896 \| good	11.474 \| good	28.021 \| good	0.791 \| good	5.115 \| good	0.206 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.543 \| good	12.07 \| good	22.328 \| good	1.101 \| good	13.309 \| good	0.297 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.211 \| good	17.776 \| good	14.646 \| good	1.073 \| good	14.528 \| good	0.676 \| good
2025-10-21T03:00:00.000Z	60 \| moderate	13.997 \| fine	62.971 \| fine	19.953 \| good	0.844 \| good	9.842 \| good	0.204 \| good
2025-10-21T04:00:00.000Z	33 \| good	6.076 \| good	16.118 \| good	21.482 \| good	1.073 \| good	10.966 \| good	0.198 \| good
2025-10-21T05:00:00.000Z	38 \| good	7.231 \| good	21.997 \| good	12.558 \| good	2.499 \| good	12.279 \| good	0.188 \| good
2025-10-21T06:00:00.000Z	38 \| good	7.387 \| good	22.208 \| good	10.966 \| good	2.597 \| good	12.89 \| good	0.266 \| good
2025-10-21T07:00:00.000Z	44 \| good	8.002 \| good	25.376 \| good	13.762 \| good	1.485 \| good	14.734 \| good	0.264 \| good
2025-10-21T08:00:00.000Z	44 \| good	7.85 \| good	24.886 \| good	16.312 \| good	1.233 \| good	7.386 \| good	0.184 \| good
2025-10-21T09:00:00.000Z	38 \| good	7.285 \| good	24.044 \| good	21.491 \| good	2.468 \| good	5.999 \| good	0.344 \| good
2025-10-21T10:00:00.000Z	38 \| good	6.926 \| good	21.849 \| good	26.448 \| good	0.946 \| good	6.401 \| good	0.2 \| good
2025-10-21T11:00:00.000Z	38 \| good	7.023 \| good	27.519 \| good	22.121 \| good	1.21 \| good	8.061 \| good	0.27 \| good
2025-10-21T12:00:00.000Z	38 \| good	7.059 \| good	29.358 \| good	18.462 \| good	1.217 \| good	11.755 \| good	0.755 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.435 \| good	31.906 \| good	17.576 \| good	1.343 \| good	8.201 \| good	0.217 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.473 \| good	23.893 \| good	17.888 \| good	1.388 \| good	8.506 \| good	0.219 \| good
2025-10-21T15:00:00.000Z	33 \| good	6.457 \| good	21.403 \| good	19.855 \| good	0.877 \| good	8.968 \| good	0.284 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.967 \| good	13.374 \| good	23.311 \| good	1.338 \| good	6.179 \| good	0.184 \| good
2025-10-21T17:00:00.000Z	27 \| good	5.433 \| good	18.21 \| good	25.074 \| good	1.156 \| good	4.952 \| good	0.182 \| good
2025-10-21T18:00:00.000Z	27 \| good	5.222 \| good	18.607 \| good	28.857 \| good	1.037 \| good	4.928 \| good	0.102 \| good
2025-10-21T19:00:00.000Z	27 \| good	4.821 \| good	19.191 \| good	28.504 \| good	1.759 \| good	4.021 \| good	0.102 \| good
2025-10-21T20:00:00.000Z	30 \| good	4.453 \| good	15.833 \| good	32.374 \| good	1.88 \| good	3.875 \| good	0.107 \| good
2025-10-21T21:00:00.000Z	31 \| good	3.651 \| good	13 \| good	34.062 \| good	0.947 \| good	3.278 \| good	0.117 \| good
2025-10-21T22:00:00.000Z	30 \| good	3.545 \| good	13.577 \| good	31.676 \| good	0.976 \| good	3.48 \| good	0.116 \| good
2025-10-21T23:00:00.000Z	31 \| good	3.297 \| good	12.532 \| good	33.843 \| good	1.087 \| good	3.396 \| good	0.119 \| good
2025-10-22T00:00:00.000Z	32 \| good	3.207 \| good	13.239 \| good	34.516 \| good	1.408 \| good	3.196 \| good	0.111 \| good
2025-10-22T01:00:00.000Z	30 \| good	3.294 \| good	15.829 \| good	32.31 \| good	1.363 \| good	3.053 \| good	0.12 \| good
2025-10-22T02:00:00.000Z	28 \| good	3.721 \| good	16.739 \| good	30.057 \| good	1.362 \| good	5.82 \| good	0.197 \| good
2025-10-22T03:00:00.000Z	33 \| good	4.867 \| good	20.972 \| good	36.168 \| good	0.678 \| good	2.485 \| good	0.132 \| good
2025-10-22T04:00:00.000Z	25 \| good	3.16 \| good	10.493 \| good	26.744 \| good	1.371 \| good	3.801 \| good	0.105 \| good
2025-10-22T05:00:00.000Z	25 \| good	3.062 \| good	9.375 \| good	26.636 \| good	0.913 \| good	3.903 \| good	0.103 \| good
2025-10-22T05:00:00.000Z	27 \| good	3.346 \| good	14.17 \| good	28.911 \| good	1.291 \| good	4.156 \| good	0.103 \| good
2025-10-20T02:00:00.000Z	27 \| good	3.127 \| good	13.793 \| good	29.205 \| good	0.417 \| good	3.945 \| good	0.148 \| good
2025-10-20T03:00:00.000Z	31 \| good	2.51 \| good	10.053 \| good	33.181 \| good	0.375 \| good	3.244 \| good	0.141 \| good
2025-10-20T04:00:00.000Z	30 \| good	2.832 \| good	11.823 \| good	32.31 \| good	0.364 \| good	2.654 \| good	0.131 \| good
2025-10-20T05:00:00.000Z	29 \| good	3.071 \| good	13.495 \| good	31.171 \| good	0.352 \| good	2.063 \| good	0.122 \| good
2025-10-20T06:00:00.000Z	27 \| good	3.104 \| good	13.31 \| good	28.932 \| good	0.341 \| good	1.472 \| good	0.112 \| good
2025-10-20T07:00:00.000Z	27 \| good	3.134 \| good	13.496 \| good	29.462 \| good	0.353 \| good	1.494 \| good	0.114 \| good
2025-10-20T08:00:00.000Z	26 \| good	3.75 \| good	16.634 \| good	28.461 \| good	0.365 \| good	1.515 \| good	0.116 \| good
2025-10-20T09:00:00.000Z	27 \| good	4.001 \| good	17.621 \| good	29.165 \| good	0.378 \| good	1.537 \| good	0.118 \| good
2025-10-20T10:00:00.000Z	26 \| good	3.551 \| good	15.359 \| good	27.976 \| good	0.397 \| good	1.773 \| good	0.121 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.935 \| good	21.524 \| good	24.789 \| good	0.417 \| good	2.01 \| good	0.124 \| good
2025-10-20T12:00:00.000Z	38 \| good	6.763 \| good	29.803 \| good	24.391 \| good	0.437 \| good	2.246 \| good	0.126 \| good
2025-10-20T13:00:00.000Z	33 \| good	6.26 \| good	27.848 \| good	26.246 \| good	0.449 \| good	2.091 \| good	0.127 \| good
2025-10-20T14:00:00.000Z	29 \| good	4.943 \| good	21.514 \| good	30.849 \| good	0.461 \| good	1.936 \| good	0.127 \| good
2025-10-20T15:00:00.000Z	31 \| good	4.284 \| good	18.602 \| good	33.016 \| good	0.473 \| good	1.781 \| good	0.128 \| good
2025-10-20T16:00:00.000Z	31 \| good	5.091 \| good	21.798 \| good	34.38 \| good	0.461 \| good	1.585 \| good	0.127 \| good
2025-10-20T17:00:00.000Z	33 \| good	5.987 \| good	26.801 \| good	34.239 \| good	0.45 \| good	1.388 \| good	0.126 \| good
2025-10-20T18:00:00.000Z	33 \| good	6.355 \| good	27.971 \| good	35.121 \| good	0.438 \| good	1.192 \| good	0.125 \| good
2025-10-20T19:00:00.000Z	44 \| good	8.387 \| good	36.895 \| good	36.219 \| good	0.479 \| good	1.307 \| good	0.127 \| good
2025-10-20T20:00:00.000Z	52 \| moderate	9.574 \| good	42.923 \| good	35.994 \| good	0.52 \| good	1.422 \| good	0.128 \| good
2025-10-20T21:00:00.000Z	54 \| moderate	10.725 \| good	47.725 \| good	35.232 \| good	0.561 \| good	1.538 \| good	0.13 \| good
2025-10-20T22:00:00.000Z	56 \| moderate	11.56 \| good	50.922 \| good	28.405 \| good	0.626 \| good	4.173 \| good	0.151 \| good
2025-10-20T23:00:00.000Z	56 \| moderate	12.407 \| fine	55.275 \| fine	21.71 \| good	0.692 \| good	6.809 \| good	0.173 \| good
2025-10-21T00:00:00.000Z	54 \| moderate	10.67 \| good	47.558 \| good	22.897 \| good	0.757 \| good	9.445 \| good	0.195 \| good
2025-10-21T01:00:00.000Z	56 \| moderate	12.19 \| fine	54.402 \| good	21.81 \| good	0.761 \| good	9.336 \| good	0.195 \| good
2025-10-21T02:00:00.000Z	60 \| moderate	13.653 \| fine	61.075 \| fine	22.239 \| good	0.765 \| good	9.227 \| good	0.196 \| good
2025-10-21T03:00:00.000Z	56 \| moderate	12.351 \| fine	55.103 \| fine	23.04 \| good	0.769 \| good	9.118 \| good	0.196 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	10.271 \| good	45.656 \| good	23.669 \| good	1.057 \| good	7.924 \| good	0.186 \| good
2025-10-21T05:00:00.000Z	38 \| good	6.865 \| good	30.711 \| good	26.098 \| good	1.346 \| good	6.729 \| good	0.175 \| good
2025-10-21T06:00:00.000Z	33 \| good	5.572 \| good	23.827 \| good	29.651 \| good	1.634 \| good	5.535 \| good	0.165 \| good
2025-10-21T07:00:00.000Z	30 \| good	4.552 \| good	19.827 \| good	31.792 \| good	1.879 \| good	4.77 \| good	0.155 \| good
2025-10-21T08:00:00.000Z	29 \| good	4.035 \| good	17.827 \| good	30.575 \| good	2.123 \| good	4.004 \| good	0.145 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.426 \| good	19.087 \| good	29.291 \| good	2.368 \| good	3.239 \| good	0.134 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.467 \| good	23.062 \| good	28.16 \| good	2.121 \| good	3.267 \| good	0.133 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.041 \| good	21.826 \| good	26.282 \| good	1.875 \| good	3.295 \| good	0.132 \| good
2025-10-21T12:00:00.000Z	38 \| good	7.203 \| good	31.929 \| good	26.396 \| good	1.628 \| good	3.323 \| good	0.131 \| good
2025-10-21T13:00:00.000Z	44 \| good	8.162 \| good	36.003 \| good	29.337 \| good	1.543 \| good	3.334 \| good	0.136 \| good
2025-10-21T14:00:00.000Z	49 \| good	9.099 \| good	40.812 \| good	33.28 \| good	1.458 \| good	3.344 \| good	0.14 \| good
2025-10-21T15:00:00.000Z	44 \| good	8.022 \| good	35.008 \| good	37.187 \| good	1.373 \| good	3.355 \| good	0.145 \| good
2025-10-21T16:00:00.000Z	40 \| good	6.035 \| good	27 \| good	43.226 \| good	1.221 \| good	2.787 \| good	0.14 \| good
2025-10-21T17:00:00.000Z	41 \| good	5.548 \| good	23.897 \| good	44.047 \| good	1.069 \| good	2.219 \| good	0.136 \| good
2025-10-21T18:00:00.000Z	41 \| good	5.793 \| good	25.281 \| good	44.16 \| good	0.918 \| good	1.651 \| good	0.132 \| good
2025-10-21T19:00:00.000Z	44 \| good	7.291 \| good	32.084 \| good	46.668 \| good	0.848 \| good	1.749 \| good	0.13 \| good
2025-10-21T20:00:00.000Z	44 \| good	7.641 \| good	33.663 \| good	43.944 \| good	0.778 \| good	1.847 \| good	0.128 \| good
2025-10-21T21:00:00.000Z	38 \| good	7.024 \| good	30.908 \| good	39.881 \| good	0.708 \| good	1.945 \| good	0.126 \| good
2025-10-21T22:00:00.000Z	44 \| good	7.589 \| good	33.63 \| good	35.764 \| good	0.721 \| good	2.694 \| good	0.13 \| good
2025-10-21T23:00:00.000Z	52 \| moderate	9.837 \| good	43.615 \| good	29.086 \| good	0.735 \| good	3.444 \| good	0.135 \| good
2025-10-22T00:00:00.000Z	32 \| good	3.315 \| good	3.417 \| good	34.81 \| good	0.749 \| good	4.177 \| good	0.139 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.032 \| good	35.16 \| good	20.94 \| good	0.731 \| good	3.916 \| good	0.137 \| good

Parma Heights

Empower business decisions with accurate air quality data

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

0.11ppm

How accurate is Ohio, USA air quality data?

The air quality data for Ohio, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for Parma Heights, Ohio get updated?

Air quality updates for Parma Heights, Ohio are available every hour.

What time in the past 24 hours saw the poorest air quality in Parma Heights, Ohio?

Parma Heights, Ohio experienced its worst air quality at 08:00:00, 2025-10-21.

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

The best air quality in Parma Heights, Ohio was observed at 04:00:00 on 2025-10-22.

What is the air quality in Parma Heights, Ohio right now?

The air quality in Parma Heights, Ohio right now is Good, with an AQI of 27.

What pollutant is most frequently found in Parma Heights, Ohio?

In Parma Heights, Ohio, O3 is the most frequently found pollutant.

What can I do if the air quality in Parma Heights, Ohio is poor?

When air quality in Parma Heights, Ohio is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Parma Heights, Ohio right now?

Parma Heights, Ohio currently has a PM_2.5 concentration of 3.346 μg/m³.

What is the current level of PM₁₀ in Parma Heights, Ohio?

Parma Heights, Ohio currently has a PM₁₀ concentration of 14.17 μg/m³.

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

The current carbon monoxide (CO) level in Parma Heights, Ohio is 0.103 ppm.

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

The current sulfur dioxide (SO₂) concentration in Parma Heights, Ohio is 1.291 ppb.

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

Parma Heights, Ohio currently has an ozone (O₃) concentration of 28.911 ppm.

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

The current level of nitrogen dioxide (NO₂) in Parma Heights, Ohio is 4.156 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	27 \| good	4.488 \| good	7.769 \| good	29.156 \| good	1.322 \| good	1.523 \| good	0.102 \| good
2025-10-20T07:00:00.000Z	26 \| good	4.049 \| good	10.111 \| good	27.985 \| good	0.866 \| good	1.553 \| good	0.101 \| good
2025-10-20T08:00:00.000Z	26 \| good	3.932 \| good	12.543 \| good	28.051 \| good	0.744 \| good	1.56 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	22 \| good	3.831 \| good	10.049 \| good	22.095 \| good	1.134 \| good	2.215 \| good	0.101 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.998 \| good	8.815 \| good	22.427 \| good	1.149 \| good	3.759 \| good	0.106 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.636 \| good	10.164 \| good	23.51 \| good	0.82 \| good	3.564 \| good	0.112 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.583 \| good	9.147 \| good	24.492 \| good	1.178 \| good	4.421 \| good	0.204 \| good
2025-10-20T13:00:00.000Z	24 \| good	3.533 \| good	9.446 \| good	25.551 \| good	1.177 \| good	6.711 \| good	0.219 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.11 \| good	12.341 \| good	20.051 \| good	1.19 \| good	8.365 \| good	0.205 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.396 \| good	14.489 \| good	19.253 \| good	1.079 \| good	8.536 \| good	0.2 \| good
2025-10-20T16:00:00.000Z	22 \| good	4.461 \| good	14.744 \| good	22.65 \| good	1.27 \| good	7.751 \| good	0.197 \| good
2025-10-20T17:00:00.000Z	22 \| good	4.316 \| good	17.078 \| good	21.761 \| good	0.98 \| good	6.665 \| good	0.187 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.778 \| good	13.99 \| good	24.937 \| good	0.964 \| good	6.028 \| good	0.182 \| good
2025-10-20T19:00:00.000Z	22 \| good	3.491 \| good	9.7 \| good	24.468 \| good	0.963 \| good	5.56 \| good	0.181 \| good
2025-10-20T20:00:00.000Z	22 \| good	3.463 \| good	11.428 \| good	24.243 \| good	1.098 \| good	4.975 \| good	0.186 \| good
2025-10-20T21:00:00.000Z	25 \| good	2.654 \| good	13.421 \| good	27.295 \| good	1.305 \| good	4.079 \| good	0.186 \| good
2025-10-20T22:00:00.000Z	30 \| good	3.245 \| good	11.072 \| good	32.193 \| good	1.969 \| good	4.616 \| good	0.194 \| good
2025-10-20T23:00:00.000Z	26 \| good	3.043 \| good	9.399 \| good	28.382 \| good	0.775 \| good	3.985 \| good	0.191 \| good
2025-10-21T00:00:00.000Z	26 \| good	2.896 \| good	11.474 \| good	28.021 \| good	0.791 \| good	5.115 \| good	0.206 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.543 \| good	12.07 \| good	22.328 \| good	1.101 \| good	13.309 \| good	0.297 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.211 \| good	17.776 \| good	14.646 \| good	1.073 \| good	14.528 \| good	0.676 \| good
2025-10-21T03:00:00.000Z	60 \| moderate	13.997 \| fine	62.971 \| fine	19.953 \| good	0.844 \| good	9.842 \| good	0.204 \| good
2025-10-21T04:00:00.000Z	33 \| good	6.076 \| good	16.118 \| good	21.482 \| good	1.073 \| good	10.966 \| good	0.198 \| good
2025-10-21T05:00:00.000Z	38 \| good	7.231 \| good	21.997 \| good	12.558 \| good	2.499 \| good	12.279 \| good	0.188 \| good
2025-10-21T06:00:00.000Z	38 \| good	7.387 \| good	22.208 \| good	10.966 \| good	2.597 \| good	12.89 \| good	0.266 \| good
2025-10-21T07:00:00.000Z	44 \| good	8.002 \| good	25.376 \| good	13.762 \| good	1.485 \| good	14.734 \| good	0.264 \| good
2025-10-21T08:00:00.000Z	44 \| good	7.85 \| good	24.886 \| good	16.312 \| good	1.233 \| good	7.386 \| good	0.184 \| good
2025-10-21T09:00:00.000Z	38 \| good	7.285 \| good	24.044 \| good	21.491 \| good	2.468 \| good	5.999 \| good	0.344 \| good
2025-10-21T10:00:00.000Z	38 \| good	6.926 \| good	21.849 \| good	26.448 \| good	0.946 \| good	6.401 \| good	0.2 \| good
2025-10-21T11:00:00.000Z	38 \| good	7.023 \| good	27.519 \| good	22.121 \| good	1.21 \| good	8.061 \| good	0.27 \| good
2025-10-21T12:00:00.000Z	38 \| good	7.059 \| good	29.358 \| good	18.462 \| good	1.217 \| good	11.755 \| good	0.755 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.435 \| good	31.906 \| good	17.576 \| good	1.343 \| good	8.201 \| good	0.217 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.473 \| good	23.893 \| good	17.888 \| good	1.388 \| good	8.506 \| good	0.219 \| good
2025-10-21T15:00:00.000Z	33 \| good	6.457 \| good	21.403 \| good	19.855 \| good	0.877 \| good	8.968 \| good	0.284 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.967 \| good	13.374 \| good	23.311 \| good	1.338 \| good	6.179 \| good	0.184 \| good
2025-10-21T17:00:00.000Z	27 \| good	5.433 \| good	18.21 \| good	25.074 \| good	1.156 \| good	4.952 \| good	0.182 \| good
2025-10-21T18:00:00.000Z	27 \| good	5.222 \| good	18.607 \| good	28.857 \| good	1.037 \| good	4.928 \| good	0.102 \| good
2025-10-21T19:00:00.000Z	27 \| good	4.821 \| good	19.191 \| good	28.504 \| good	1.759 \| good	4.021 \| good	0.102 \| good
2025-10-21T20:00:00.000Z	30 \| good	4.453 \| good	15.833 \| good	32.374 \| good	1.88 \| good	3.875 \| good	0.107 \| good
2025-10-21T21:00:00.000Z	31 \| good	3.651 \| good	13 \| good	34.062 \| good	0.947 \| good	3.278 \| good	0.117 \| good
2025-10-21T22:00:00.000Z	30 \| good	3.545 \| good	13.577 \| good	31.676 \| good	0.976 \| good	3.48 \| good	0.116 \| good
2025-10-21T23:00:00.000Z	31 \| good	3.297 \| good	12.532 \| good	33.843 \| good	1.087 \| good	3.396 \| good	0.119 \| good
2025-10-22T00:00:00.000Z	32 \| good	3.207 \| good	13.239 \| good	34.516 \| good	1.408 \| good	3.196 \| good	0.111 \| good
2025-10-22T01:00:00.000Z	30 \| good	3.294 \| good	15.829 \| good	32.31 \| good	1.363 \| good	3.053 \| good	0.12 \| good
2025-10-22T02:00:00.000Z	28 \| good	3.721 \| good	16.739 \| good	30.057 \| good	1.362 \| good	5.82 \| good	0.197 \| good
2025-10-22T03:00:00.000Z	33 \| good	4.867 \| good	20.972 \| good	36.168 \| good	0.678 \| good	2.485 \| good	0.132 \| good
2025-10-22T04:00:00.000Z	25 \| good	3.16 \| good	10.493 \| good	26.744 \| good	1.371 \| good	3.801 \| good	0.105 \| good
2025-10-22T05:00:00.000Z	25 \| good	3.062 \| good	9.375 \| good	26.636 \| good	0.913 \| good	3.903 \| good	0.103 \| good
2025-10-22T05:00:00.000Z	27 \| good	3.346 \| good	14.17 \| good	28.911 \| good	1.291 \| good	4.156 \| good	0.103 \| good
2025-10-20T02:00:00.000Z	27 \| good	3.127 \| good	13.793 \| good	29.205 \| good	0.417 \| good	3.945 \| good	0.148 \| good
2025-10-20T03:00:00.000Z	31 \| good	2.51 \| good	10.053 \| good	33.181 \| good	0.375 \| good	3.244 \| good	0.141 \| good
2025-10-20T04:00:00.000Z	30 \| good	2.832 \| good	11.823 \| good	32.31 \| good	0.364 \| good	2.654 \| good	0.131 \| good
2025-10-20T05:00:00.000Z	29 \| good	3.071 \| good	13.495 \| good	31.171 \| good	0.352 \| good	2.063 \| good	0.122 \| good
2025-10-20T06:00:00.000Z	27 \| good	3.104 \| good	13.31 \| good	28.932 \| good	0.341 \| good	1.472 \| good	0.112 \| good
2025-10-20T07:00:00.000Z	27 \| good	3.134 \| good	13.496 \| good	29.462 \| good	0.353 \| good	1.494 \| good	0.114 \| good
2025-10-20T08:00:00.000Z	26 \| good	3.75 \| good	16.634 \| good	28.461 \| good	0.365 \| good	1.515 \| good	0.116 \| good
2025-10-20T09:00:00.000Z	27 \| good	4.001 \| good	17.621 \| good	29.165 \| good	0.378 \| good	1.537 \| good	0.118 \| good
2025-10-20T10:00:00.000Z	26 \| good	3.551 \| good	15.359 \| good	27.976 \| good	0.397 \| good	1.773 \| good	0.121 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.935 \| good	21.524 \| good	24.789 \| good	0.417 \| good	2.01 \| good	0.124 \| good
2025-10-20T12:00:00.000Z	38 \| good	6.763 \| good	29.803 \| good	24.391 \| good	0.437 \| good	2.246 \| good	0.126 \| good
2025-10-20T13:00:00.000Z	33 \| good	6.26 \| good	27.848 \| good	26.246 \| good	0.449 \| good	2.091 \| good	0.127 \| good
2025-10-20T14:00:00.000Z	29 \| good	4.943 \| good	21.514 \| good	30.849 \| good	0.461 \| good	1.936 \| good	0.127 \| good
2025-10-20T15:00:00.000Z	31 \| good	4.284 \| good	18.602 \| good	33.016 \| good	0.473 \| good	1.781 \| good	0.128 \| good
2025-10-20T16:00:00.000Z	31 \| good	5.091 \| good	21.798 \| good	34.38 \| good	0.461 \| good	1.585 \| good	0.127 \| good
2025-10-20T17:00:00.000Z	33 \| good	5.987 \| good	26.801 \| good	34.239 \| good	0.45 \| good	1.388 \| good	0.126 \| good
2025-10-20T18:00:00.000Z	33 \| good	6.355 \| good	27.971 \| good	35.121 \| good	0.438 \| good	1.192 \| good	0.125 \| good
2025-10-20T19:00:00.000Z	44 \| good	8.387 \| good	36.895 \| good	36.219 \| good	0.479 \| good	1.307 \| good	0.127 \| good
2025-10-20T20:00:00.000Z	52 \| moderate	9.574 \| good	42.923 \| good	35.994 \| good	0.52 \| good	1.422 \| good	0.128 \| good
2025-10-20T21:00:00.000Z	54 \| moderate	10.725 \| good	47.725 \| good	35.232 \| good	0.561 \| good	1.538 \| good	0.13 \| good
2025-10-20T22:00:00.000Z	56 \| moderate	11.56 \| good	50.922 \| good	28.405 \| good	0.626 \| good	4.173 \| good	0.151 \| good
2025-10-20T23:00:00.000Z	56 \| moderate	12.407 \| fine	55.275 \| fine	21.71 \| good	0.692 \| good	6.809 \| good	0.173 \| good
2025-10-21T00:00:00.000Z	54 \| moderate	10.67 \| good	47.558 \| good	22.897 \| good	0.757 \| good	9.445 \| good	0.195 \| good
2025-10-21T01:00:00.000Z	56 \| moderate	12.19 \| fine	54.402 \| good	21.81 \| good	0.761 \| good	9.336 \| good	0.195 \| good
2025-10-21T02:00:00.000Z	60 \| moderate	13.653 \| fine	61.075 \| fine	22.239 \| good	0.765 \| good	9.227 \| good	0.196 \| good
2025-10-21T03:00:00.000Z	56 \| moderate	12.351 \| fine	55.103 \| fine	23.04 \| good	0.769 \| good	9.118 \| good	0.196 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	10.271 \| good	45.656 \| good	23.669 \| good	1.057 \| good	7.924 \| good	0.186 \| good
2025-10-21T05:00:00.000Z	38 \| good	6.865 \| good	30.711 \| good	26.098 \| good	1.346 \| good	6.729 \| good	0.175 \| good
2025-10-21T06:00:00.000Z	33 \| good	5.572 \| good	23.827 \| good	29.651 \| good	1.634 \| good	5.535 \| good	0.165 \| good
2025-10-21T07:00:00.000Z	30 \| good	4.552 \| good	19.827 \| good	31.792 \| good	1.879 \| good	4.77 \| good	0.155 \| good
2025-10-21T08:00:00.000Z	29 \| good	4.035 \| good	17.827 \| good	30.575 \| good	2.123 \| good	4.004 \| good	0.145 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.426 \| good	19.087 \| good	29.291 \| good	2.368 \| good	3.239 \| good	0.134 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.467 \| good	23.062 \| good	28.16 \| good	2.121 \| good	3.267 \| good	0.133 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.041 \| good	21.826 \| good	26.282 \| good	1.875 \| good	3.295 \| good	0.132 \| good
2025-10-21T12:00:00.000Z	38 \| good	7.203 \| good	31.929 \| good	26.396 \| good	1.628 \| good	3.323 \| good	0.131 \| good
2025-10-21T13:00:00.000Z	44 \| good	8.162 \| good	36.003 \| good	29.337 \| good	1.543 \| good	3.334 \| good	0.136 \| good
2025-10-21T14:00:00.000Z	49 \| good	9.099 \| good	40.812 \| good	33.28 \| good	1.458 \| good	3.344 \| good	0.14 \| good
2025-10-21T15:00:00.000Z	44 \| good	8.022 \| good	35.008 \| good	37.187 \| good	1.373 \| good	3.355 \| good	0.145 \| good
2025-10-21T16:00:00.000Z	40 \| good	6.035 \| good	27 \| good	43.226 \| good	1.221 \| good	2.787 \| good	0.14 \| good
2025-10-21T17:00:00.000Z	41 \| good	5.548 \| good	23.897 \| good	44.047 \| good	1.069 \| good	2.219 \| good	0.136 \| good
2025-10-21T18:00:00.000Z	41 \| good	5.793 \| good	25.281 \| good	44.16 \| good	0.918 \| good	1.651 \| good	0.132 \| good
2025-10-21T19:00:00.000Z	44 \| good	7.291 \| good	32.084 \| good	46.668 \| good	0.848 \| good	1.749 \| good	0.13 \| good
2025-10-21T20:00:00.000Z	44 \| good	7.641 \| good	33.663 \| good	43.944 \| good	0.778 \| good	1.847 \| good	0.128 \| good
2025-10-21T21:00:00.000Z	38 \| good	7.024 \| good	30.908 \| good	39.881 \| good	0.708 \| good	1.945 \| good	0.126 \| good
2025-10-21T22:00:00.000Z	44 \| good	7.589 \| good	33.63 \| good	35.764 \| good	0.721 \| good	2.694 \| good	0.13 \| good
2025-10-21T23:00:00.000Z	52 \| moderate	9.837 \| good	43.615 \| good	29.086 \| good	0.735 \| good	3.444 \| good	0.135 \| good
2025-10-22T00:00:00.000Z	32 \| good	3.315 \| good	3.417 \| good	34.81 \| good	0.749 \| good	4.177 \| good	0.139 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.032 \| good	35.16 \| good	20.94 \| good	0.731 \| good	3.916 \| good	0.137 \| good

Current air quality index in Parma Heights, Ohio today

Common air pollutants in Parma 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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Real-time air quality map: Monitor AQI near Parma Heights, Ohio

Air quality in nearby cities

Parma, Ohio

Brook Park, Ohio

Brooklyn, Ohio

Middleburg Heights, Ohio

Seven Hills, Ohio

Berea, Ohio

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What is the PM2.5 concentration in Parma Heights, Ohio right now?

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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 PM_2.5 concentration in Parma Heights, Ohio right now?

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