What are the current PM10 levels at North Olmsted, Ohio?

The current PM10 levels in North Olmsted, Ohio are 9.897 μg/m3.

What are the current sulfur dioxide (SO2) levels at North Olmsted, Ohio?

The current sulfur dioxide (SO2) levels in North Olmsted, Ohio are 1.157 ppb.

What are the current ozone (O3) levels at North Olmsted, Ohio?

The current ozone (O3) levels at North Olmsted, Ohio is 29.427 ppm.

What are the current nitrogen dioxide (NO2) levels at North Olmsted, Ohio?

The current nitrogen dioxide (NO2) levels at North Olmsted, Ohio is 3.611 ppb.

Real-time air quality index in North Olmsted, Ohio today

Name: Live air pollution levels in North Olmsted, Ohio today
Creator: Ambee

Stay updated with real-time air quality in North Olmsted, 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

North Olmsted, Ohio

Last updated: ... (Local time)

Common air pollutants in North Olmsted, Ohio

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.02 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.90 μg/m³

155

255

425

605+

Ozone (O₃)

29.43 ppb

201

201+

Sulfur Dioxide (SO₂)

1.16 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.61 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

North Olmsted, Ohio

Get Live Pollen Counts

North Olmsted, Ohio

Scroll To Air Quality Map

Track live North Olmsted, Ohio air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T05:00:00.000Z	26 \| good	2.926 \| good	8.989 \| good	27.749 \| good	1.253 \| good	1.708 \| good	0.102 \| good
2025-10-20T06:00:00.000Z	24 \| good	4.187 \| good	10.686 \| good	26.354 \| good	1.263 \| good	1.592 \| good	0.102 \| good
2025-10-20T07:00:00.000Z	22 \| good	3.396 \| good	10.96 \| good	23.794 \| good	0.912 \| good	1.656 \| good	0.101 \| good
2025-10-20T08:00:00.000Z	21 \| good	3.233 \| good	8.768 \| good	22.78 \| good	0.937 \| good	1.655 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	21 \| good	3.269 \| good	10.126 \| good	23.001 \| good	1.166 \| good	2.193 \| good	0.101 \| good
2025-10-20T10:00:00.000Z	20 \| good	3.328 \| good	9.585 \| good	21.755 \| good	1.05 \| good	4.091 \| good	0.107 \| good
2025-10-20T11:00:00.000Z	18 \| good	3.477 \| good	10.04 \| good	19.164 \| good	0.851 \| good	3.971 \| good	0.113 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.728 \| good	11.406 \| good	20.08 \| good	1.208 \| good	4.802 \| good	0.205 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.604 \| good	12.745 \| good	21.1 \| good	1.033 \| good	7.151 \| good	0.221 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.976 \| good	12.629 \| good	18.944 \| good	1.325 \| good	8.394 \| good	0.206 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.36 \| good	14.418 \| good	18.271 \| good	0.893 \| good	8.467 \| good	0.201 \| good
2025-10-20T16:00:00.000Z	22 \| good	4.397 \| good	14.357 \| good	19.173 \| good	1.129 \| good	7.409 \| good	0.197 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.948 \| good	13.256 \| good	22.319 \| good	1.023 \| good	6.627 \| good	0.187 \| good
2025-10-20T18:00:00.000Z	22 \| good	3.839 \| good	13.654 \| good	21.974 \| good	1.002 \| good	6.249 \| good	0.18 \| good
2025-10-20T19:00:00.000Z	22 \| good	3.389 \| good	13.264 \| good	23.574 \| good	1.025 \| good	5.883 \| good	0.179 \| good
2025-10-20T20:00:00.000Z	23 \| good	3.142 \| good	15.911 \| good	25.44 \| good	1.145 \| good	5.274 \| good	0.186 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.857 \| good	15.75 \| good	29.383 \| good	1.381 \| good	4.391 \| good	0.186 \| good
2025-10-20T22:00:00.000Z	28 \| good	2.882 \| good	9.346 \| good	29.571 \| good	1.981 \| good	3.785 \| good	0.194 \| good
2025-10-20T23:00:00.000Z	26 \| good	3.015 \| good	11.456 \| good	28.246 \| good	0.807 \| good	4.208 \| good	0.191 \| good
2025-10-21T00:00:00.000Z	25 \| good	3.032 \| good	9.944 \| good	26.846 \| good	0.927 \| good	5.906 \| good	0.207 \| good
2025-10-21T01:00:00.000Z	20 \| good	3.289 \| good	11.6 \| good	21.913 \| good	1.183 \| good	11.782 \| good	0.298 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.66 \| good	16.432 \| good	15.092 \| good	1.168 \| good	19.862 \| good	0.67 \| good
2025-10-21T03:00:00.000Z	60 \| moderate	13.925 \| fine	62.958 \| fine	19.282 \| good	0.837 \| good	8.8 \| good	0.198 \| good
2025-10-21T04:00:00.000Z	38 \| good	6.634 \| good	21.433 \| good	12.559 \| good	1.102 \| good	14.344 \| good	0.198 \| good
2025-10-21T05:00:00.000Z	38 \| good	6.943 \| good	21.616 \| good	9.412 \| good	2.391 \| good	11.271 \| good	0.187 \| good
2025-10-21T06:00:00.000Z	38 \| good	6.753 \| good	21.2 \| good	9.075 \| good	2.649 \| good	10.52 \| good	0.264 \| good
2025-10-21T07:00:00.000Z	44 \| good	7.509 \| good	22.283 \| good	12.705 \| good	1.503 \| good	8.578 \| good	0.261 \| good
2025-10-21T08:00:00.000Z	38 \| good	7.42 \| good	22.811 \| good	16.344 \| good	1.259 \| good	6.955 \| good	0.183 \| good
2025-10-21T09:00:00.000Z	38 \| good	6.698 \| good	21.437 \| good	20.417 \| good	2.915 \| good	6.74 \| good	0.34 \| good
2025-10-21T10:00:00.000Z	38 \| good	6.809 \| good	25.624 \| good	23.813 \| good	1.279 \| good	7.185 \| good	0.199 \| good
2025-10-21T11:00:00.000Z	38 \| good	6.936 \| good	28.031 \| good	21.783 \| good	1.258 \| good	9.656 \| good	0.268 \| good
2025-10-21T12:00:00.000Z	38 \| good	6.969 \| good	32.555 \| good	24.459 \| good	1.234 \| good	14.224 \| good	0.747 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.48 \| good	31.207 \| good	23.084 \| good	1.336 \| good	9.86 \| good	0.217 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.317 \| good	23.332 \| good	22.594 \| good	1.458 \| good	10.337 \| good	0.219 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.781 \| good	16.739 \| good	21.903 \| good	1.06 \| good	11.594 \| good	0.283 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.942 \| good	16.346 \| good	23.437 \| good	2.55 \| good	7.073 \| good	0.183 \| good
2025-10-21T17:00:00.000Z	27 \| good	5.101 \| good	15.875 \| good	25.972 \| good	1.164 \| good	5.557 \| good	0.181 \| good
2025-10-21T18:00:00.000Z	28 \| good	4.921 \| good	16.935 \| good	30.324 \| good	1.181 \| good	5.183 \| good	0.102 \| good
2025-10-21T19:00:00.000Z	29 \| good	4.592 \| good	15.688 \| good	30.696 \| good	1.546 \| good	4.289 \| good	0.102 \| good
2025-10-21T20:00:00.000Z	30 \| good	4.454 \| good	16.785 \| good	32.267 \| good	1.981 \| good	4.173 \| good	0.107 \| good
2025-10-21T21:00:00.000Z	31 \| good	3.592 \| good	15.14 \| good	33.219 \| good	1.099 \| good	3.523 \| good	0.118 \| good
2025-10-21T22:00:00.000Z	31 \| good	3.515 \| good	15.189 \| good	32.949 \| good	1.1 \| good	3.875 \| good	0.117 \| good
2025-10-21T23:00:00.000Z	31 \| good	3.212 \| good	13.985 \| good	33.442 \| good	1.265 \| good	3.973 \| good	0.12 \| good
2025-10-22T00:00:00.000Z	31 \| good	3.08 \| good	19.678 \| good	32.687 \| good	1.437 \| good	4.433 \| good	0.112 \| good
2025-10-22T01:00:00.000Z	30 \| good	3.184 \| good	13.427 \| good	32.324 \| good	1.268 \| good	3.043 \| good	0.121 \| good
2025-10-22T02:00:00.000Z	28 \| good	3.62 \| good	16.091 \| good	30.01 \| good	1.4 \| good	6.463 \| good	0.197 \| good
2025-10-22T03:00:00.000Z	33 \| good	4.95 \| good	21.11 \| good	35.562 \| good	0.67 \| good	2.429 \| good	0.132 \| good
2025-10-22T04:00:00.000Z	27 \| good	3.159 \| good	10.879 \| good	29.462 \| good	1.198 \| good	3.841 \| good	0.106 \| good
2025-10-22T04:00:00.000Z	27 \| good	3.019 \| good	9.897 \| good	29.427 \| good	1.157 \| good	3.611 \| good	0.108 \| good
2025-10-22T05:00:00.000Z	25 \| good	3.082 \| good	12.284 \| good	27.327 \| good	0.636 \| good	2.23 \| good	0.135 \| good
2025-10-22T06:00:00.000Z	23 \| good	3.115 \| good	13.813 \| good	24.998 \| good	0.617 \| good	2.077 \| good	0.134 \| good
2025-10-22T07:00:00.000Z	22 \| good	1.867 \| good	7.966 \| good	23.927 \| good	0.554 \| good	1.973 \| good	0.133 \| good
2025-10-22T08:00:00.000Z	21 \| good	2.359 \| good	9.888 \| good	23.036 \| good	0.492 \| good	1.868 \| good	0.131 \| good
2025-10-22T09:00:00.000Z	22 \| good	2.32 \| good	9.846 \| good	24.271 \| good	0.43 \| good	1.764 \| good	0.13 \| good
2025-10-22T10:00:00.000Z	24 \| good	3.05 \| good	12.234 \| good	26.086 \| good	0.436 \| good	1.853 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	21 \| good	3.441 \| good	15.004 \| good	23.338 \| good	0.442 \| good	1.942 \| good	0.127 \| good
2025-10-22T12:00:00.000Z	27 \| good	4.697 \| good	20.865 \| good	22.166 \| good	0.449 \| good	2.031 \| good	0.126 \| good
2025-10-22T13:00:00.000Z	27 \| good	4.972 \| good	21.134 \| good	21.628 \| good	0.463 \| good	2.066 \| good	0.127 \| good
2025-10-22T14:00:00.000Z	27 \| good	5.099 \| good	21.974 \| good	22.399 \| good	0.477 \| good	2.101 \| good	0.128 \| good
2025-10-22T15:00:00.000Z	27 \| good	5.155 \| good	22.096 \| good	22.128 \| good	0.492 \| good	2.136 \| good	0.129 \| good
2025-10-22T16:00:00.000Z	22 \| good	4.35 \| good	18.972 \| good	23.248 \| good	0.486 \| good	2.157 \| good	0.129 \| good
2025-10-22T17:00:00.000Z	22 \| good	0.996 \| good	3.987 \| good	23.612 \| good	0.48 \| good	2.177 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	23 \| good	0.455 \| good	1.926 \| good	24.826 \| good	0.474 \| good	2.197 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	25 \| good	0.893 \| good	3.149 \| good	27.089 \| good	0.476 \| good	2.449 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	24 \| good	1.714 \| good	6.987 \| good	26.472 \| good	0.478 \| good	2.701 \| good	0.133 \| good
2025-10-22T21:00:00.000Z	24 \| good	1.769 \| good	7.061 \| good	26.162 \| good	0.48 \| good	2.952 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	22 \| good	1.052 \| good	3.944 \| good	24.269 \| good	0.468 \| good	3.041 \| good	0.135 \| good
2025-10-22T23:00:00.000Z	20 \| good	0.521 \| good	1.958 \| good	22.233 \| good	0.455 \| good	3.13 \| good	0.134 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.663 \| good	15.99 \| good	24.408 \| good	0.442 \| good	3.219 \| good	0.134 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.602 \| good	19.968 \| good	23.297 \| good	0.427 \| good	2.992 \| good	0.133 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.992 \| good	21.878 \| good	24.957 \| good	0.412 \| good	2.765 \| good	0.131 \| good
2025-10-23T03:00:00.000Z	24 \| good	3.932 \| good	17.009 \| good	26.033 \| good	0.397 \| good	2.539 \| good	0.13 \| good
2025-10-23T04:00:00.000Z	24 \| good	3.736 \| good	16.018 \| good	26.16 \| good	0.379 \| good	2.355 \| good	0.13 \| good
2025-10-23T05:00:00.000Z	24 \| good	2.057 \| good	8.093 \| good	25.766 \| good	0.361 \| good	2.171 \| good	0.13 \| good
2025-10-23T06:00:00.000Z	24 \| good	1.907 \| good	7.9 \| good	26.099 \| good	0.343 \| good	1.987 \| good	0.129 \| good
2025-10-23T07:00:00.000Z	24 \| good	1.199 \| good	4.917 \| good	25.976 \| good	0.322 \| good	1.819 \| good	0.129 \| good
2025-10-23T08:00:00.000Z	24 \| good	1.131 \| good	4.855 \| good	25.702 \| good	0.301 \| good	1.651 \| good	0.128 \| good
2025-10-23T09:00:00.000Z	25 \| good	0.285 \| good	0.988 \| good	26.545 \| good	0.28 \| good	1.483 \| good	0.127 \| good
2025-10-23T10:00:00.000Z	25 \| good	1.267 \| good	5.013 \| good	27.085 \| good	0.285 \| good	1.581 \| good	0.127 \| good
2025-10-23T11:00:00.000Z	23 \| good	0.37 \| good	1.064 \| good	25.056 \| good	0.29 \| good	1.679 \| good	0.127 \| good
2025-10-23T12:00:00.000Z	20 \| good	0.778 \| good	2.948 \| good	21.81 \| good	0.295 \| good	1.776 \| good	0.127 \| good
2025-10-23T13:00:00.000Z	19 \| good	1.983 \| good	8.032 \| good	19.947 \| good	0.317 \| good	1.71 \| good	0.129 \| good
2025-10-23T14:00:00.000Z	18 \| good	1.536 \| good	5.993 \| good	19.098 \| good	0.339 \| good	1.644 \| good	0.131 \| good
2025-10-23T15:00:00.000Z	19 \| good	1.079 \| good	4.054 \| good	20.467 \| good	0.361 \| good	1.577 \| good	0.132 \| good
2025-10-23T16:00:00.000Z	21 \| good	1.157 \| good	4.819 \| good	23.03 \| good	0.358 \| good	1.483 \| good	0.133 \| good
2025-10-23T17:00:00.000Z	23 \| good	0.862 \| good	3.072 \| good	24.974 \| good	0.356 \| good	1.388 \| good	0.134 \| good
2025-10-23T18:00:00.000Z	26 \| good	1.209 \| good	4.936 \| good	27.712 \| good	0.353 \| good	1.293 \| good	0.134 \| good
2025-10-23T19:00:00.000Z	27 \| good	1.551 \| good	6.075 \| good	29.197 \| good	0.338 \| good	1.363 \| good	0.131 \| good
2025-10-23T20:00:00.000Z	27 \| good	1.651 \| good	6.978 \| good	28.707 \| good	0.324 \| good	1.434 \| good	0.127 \| good
2025-10-23T21:00:00.000Z	29 \| good	1.03 \| good	4.034 \| good	31.105 \| good	0.309 \| good	1.504 \| good	0.123 \| good
2025-10-23T22:00:00.000Z	27 \| good	0.411 \| good	1.888 \| good	28.91 \| good	0.329 \| good	1.994 \| good	0.125 \| good
2025-10-23T23:00:00.000Z	23 \| good	0.74 \| good	2.969 \| good	24.965 \| good	0.349 \| good	2.484 \| good	0.127 \| good
2025-10-24T00:00:00.000Z	31 \| good	2.022 \| good	2.115 \| good	32.546 \| good	0.37 \| good	2.977 \| good	0.129 \| good
2025-10-24T01:00:00.000Z	20 \| good	2.699 \| good	11.004 \| good	21.807 \| good	0.384 \| good	2.904 \| good	0.129 \| good
2025-10-24T02:00:00.000Z	20 \| good	3.172 \| good	13.869 \| good	21.792 \| good	0.399 \| good	2.834 \| good	0.13 \| good
2025-10-24T03:00:00.000Z	23 \| good	2.954 \| good	12.099 \| good	24.969 \| good	0.414 \| good	2.764 \| good	0.13 \| good
2025-10-24T04:00:00.000Z	24 \| good	2.715 \| good	11.062 \| good	25.575 \| good	0.419 \| good	2.747 \| good	0.131 \| good

North Olmsted

Empower business decisions with accurate air quality data

North Olmsted, Ohio air quality map: Real-time AQI near you

0.13ppm

How accurate is Ohio, USA air quality data?

Air quality measurements for Ohio, USA meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

Source: Ambee Data Sources

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Frequently asked questions

How frequently is the air quality data for North Olmsted, Ohio updated?

Air quality data for North Olmsted, Ohio is updated on an hourly basis.

When did North Olmsted, Ohio experience the worst air quality in the last 24 hours?

The worst air quality in North Olmsted, Ohio was recorded at 07:00:00 on 2025-10-21.

When did North Olmsted, Ohio have its best air quality in the last 24 hours?

The best air quality in North Olmsted, Ohio was recorded at 05:00:00 on 2025-10-21.

What is the real-time air quality index for North Olmsted, Ohio?

The real-time air quality index in North Olmsted, Ohio is 27, currently categorized as Good.

Which pollutant is found most often in North Olmsted, Ohio?

The most common pollutant in North Olmsted, Ohio is O3.

What can I do if the air quality in North Olmsted, Ohio is poor?

If the air quality in North Olmsted, Ohio is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in North Olmsted, Ohio?

The measured PM_2.5 levels in North Olmsted, Ohio at present are 3.019 μg/m³.

What are the current PM₁₀ levels at North Olmsted, Ohio?

The current PM₁₀ levels in North Olmsted, Ohio are 9.897 μg/m³.

What are the current carbon monoxide (CO) levels at North Olmsted, Ohio?

The current carbon monoxide (CO) level in North Olmsted, Ohio is 0.108 ppm.

What are the current sulfur dioxide (SO₂) levels at North Olmsted, Ohio?

The current sulfur dioxide (SO₂) levels in North Olmsted, Ohio are 1.157 ppb.

What are the current ozone (O₃) levels at North Olmsted, Ohio?

The current ozone (O₃) levels at North Olmsted, Ohio is 29.427 ppm.

What are the current nitrogen dioxide (NO₂) levels at North Olmsted, Ohio?

The current nitrogen dioxide (NO₂) levels at North Olmsted, Ohio is 3.611 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T05:00:00.000Z	26 \| good	2.926 \| good	8.989 \| good	27.749 \| good	1.253 \| good	1.708 \| good	0.102 \| good
2025-10-20T06:00:00.000Z	24 \| good	4.187 \| good	10.686 \| good	26.354 \| good	1.263 \| good	1.592 \| good	0.102 \| good
2025-10-20T07:00:00.000Z	22 \| good	3.396 \| good	10.96 \| good	23.794 \| good	0.912 \| good	1.656 \| good	0.101 \| good
2025-10-20T08:00:00.000Z	21 \| good	3.233 \| good	8.768 \| good	22.78 \| good	0.937 \| good	1.655 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	21 \| good	3.269 \| good	10.126 \| good	23.001 \| good	1.166 \| good	2.193 \| good	0.101 \| good
2025-10-20T10:00:00.000Z	20 \| good	3.328 \| good	9.585 \| good	21.755 \| good	1.05 \| good	4.091 \| good	0.107 \| good
2025-10-20T11:00:00.000Z	18 \| good	3.477 \| good	10.04 \| good	19.164 \| good	0.851 \| good	3.971 \| good	0.113 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.728 \| good	11.406 \| good	20.08 \| good	1.208 \| good	4.802 \| good	0.205 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.604 \| good	12.745 \| good	21.1 \| good	1.033 \| good	7.151 \| good	0.221 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.976 \| good	12.629 \| good	18.944 \| good	1.325 \| good	8.394 \| good	0.206 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.36 \| good	14.418 \| good	18.271 \| good	0.893 \| good	8.467 \| good	0.201 \| good
2025-10-20T16:00:00.000Z	22 \| good	4.397 \| good	14.357 \| good	19.173 \| good	1.129 \| good	7.409 \| good	0.197 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.948 \| good	13.256 \| good	22.319 \| good	1.023 \| good	6.627 \| good	0.187 \| good
2025-10-20T18:00:00.000Z	22 \| good	3.839 \| good	13.654 \| good	21.974 \| good	1.002 \| good	6.249 \| good	0.18 \| good
2025-10-20T19:00:00.000Z	22 \| good	3.389 \| good	13.264 \| good	23.574 \| good	1.025 \| good	5.883 \| good	0.179 \| good
2025-10-20T20:00:00.000Z	23 \| good	3.142 \| good	15.911 \| good	25.44 \| good	1.145 \| good	5.274 \| good	0.186 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.857 \| good	15.75 \| good	29.383 \| good	1.381 \| good	4.391 \| good	0.186 \| good
2025-10-20T22:00:00.000Z	28 \| good	2.882 \| good	9.346 \| good	29.571 \| good	1.981 \| good	3.785 \| good	0.194 \| good
2025-10-20T23:00:00.000Z	26 \| good	3.015 \| good	11.456 \| good	28.246 \| good	0.807 \| good	4.208 \| good	0.191 \| good
2025-10-21T00:00:00.000Z	25 \| good	3.032 \| good	9.944 \| good	26.846 \| good	0.927 \| good	5.906 \| good	0.207 \| good
2025-10-21T01:00:00.000Z	20 \| good	3.289 \| good	11.6 \| good	21.913 \| good	1.183 \| good	11.782 \| good	0.298 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.66 \| good	16.432 \| good	15.092 \| good	1.168 \| good	19.862 \| good	0.67 \| good
2025-10-21T03:00:00.000Z	60 \| moderate	13.925 \| fine	62.958 \| fine	19.282 \| good	0.837 \| good	8.8 \| good	0.198 \| good
2025-10-21T04:00:00.000Z	38 \| good	6.634 \| good	21.433 \| good	12.559 \| good	1.102 \| good	14.344 \| good	0.198 \| good
2025-10-21T05:00:00.000Z	38 \| good	6.943 \| good	21.616 \| good	9.412 \| good	2.391 \| good	11.271 \| good	0.187 \| good
2025-10-21T06:00:00.000Z	38 \| good	6.753 \| good	21.2 \| good	9.075 \| good	2.649 \| good	10.52 \| good	0.264 \| good
2025-10-21T07:00:00.000Z	44 \| good	7.509 \| good	22.283 \| good	12.705 \| good	1.503 \| good	8.578 \| good	0.261 \| good
2025-10-21T08:00:00.000Z	38 \| good	7.42 \| good	22.811 \| good	16.344 \| good	1.259 \| good	6.955 \| good	0.183 \| good
2025-10-21T09:00:00.000Z	38 \| good	6.698 \| good	21.437 \| good	20.417 \| good	2.915 \| good	6.74 \| good	0.34 \| good
2025-10-21T10:00:00.000Z	38 \| good	6.809 \| good	25.624 \| good	23.813 \| good	1.279 \| good	7.185 \| good	0.199 \| good
2025-10-21T11:00:00.000Z	38 \| good	6.936 \| good	28.031 \| good	21.783 \| good	1.258 \| good	9.656 \| good	0.268 \| good
2025-10-21T12:00:00.000Z	38 \| good	6.969 \| good	32.555 \| good	24.459 \| good	1.234 \| good	14.224 \| good	0.747 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.48 \| good	31.207 \| good	23.084 \| good	1.336 \| good	9.86 \| good	0.217 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.317 \| good	23.332 \| good	22.594 \| good	1.458 \| good	10.337 \| good	0.219 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.781 \| good	16.739 \| good	21.903 \| good	1.06 \| good	11.594 \| good	0.283 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.942 \| good	16.346 \| good	23.437 \| good	2.55 \| good	7.073 \| good	0.183 \| good
2025-10-21T17:00:00.000Z	27 \| good	5.101 \| good	15.875 \| good	25.972 \| good	1.164 \| good	5.557 \| good	0.181 \| good
2025-10-21T18:00:00.000Z	28 \| good	4.921 \| good	16.935 \| good	30.324 \| good	1.181 \| good	5.183 \| good	0.102 \| good
2025-10-21T19:00:00.000Z	29 \| good	4.592 \| good	15.688 \| good	30.696 \| good	1.546 \| good	4.289 \| good	0.102 \| good
2025-10-21T20:00:00.000Z	30 \| good	4.454 \| good	16.785 \| good	32.267 \| good	1.981 \| good	4.173 \| good	0.107 \| good
2025-10-21T21:00:00.000Z	31 \| good	3.592 \| good	15.14 \| good	33.219 \| good	1.099 \| good	3.523 \| good	0.118 \| good
2025-10-21T22:00:00.000Z	31 \| good	3.515 \| good	15.189 \| good	32.949 \| good	1.1 \| good	3.875 \| good	0.117 \| good
2025-10-21T23:00:00.000Z	31 \| good	3.212 \| good	13.985 \| good	33.442 \| good	1.265 \| good	3.973 \| good	0.12 \| good
2025-10-22T00:00:00.000Z	31 \| good	3.08 \| good	19.678 \| good	32.687 \| good	1.437 \| good	4.433 \| good	0.112 \| good
2025-10-22T01:00:00.000Z	30 \| good	3.184 \| good	13.427 \| good	32.324 \| good	1.268 \| good	3.043 \| good	0.121 \| good
2025-10-22T02:00:00.000Z	28 \| good	3.62 \| good	16.091 \| good	30.01 \| good	1.4 \| good	6.463 \| good	0.197 \| good
2025-10-22T03:00:00.000Z	33 \| good	4.95 \| good	21.11 \| good	35.562 \| good	0.67 \| good	2.429 \| good	0.132 \| good
2025-10-22T04:00:00.000Z	27 \| good	3.159 \| good	10.879 \| good	29.462 \| good	1.198 \| good	3.841 \| good	0.106 \| good
2025-10-22T04:00:00.000Z	27 \| good	3.019 \| good	9.897 \| good	29.427 \| good	1.157 \| good	3.611 \| good	0.108 \| good
2025-10-22T05:00:00.000Z	25 \| good	3.082 \| good	12.284 \| good	27.327 \| good	0.636 \| good	2.23 \| good	0.135 \| good
2025-10-22T06:00:00.000Z	23 \| good	3.115 \| good	13.813 \| good	24.998 \| good	0.617 \| good	2.077 \| good	0.134 \| good
2025-10-22T07:00:00.000Z	22 \| good	1.867 \| good	7.966 \| good	23.927 \| good	0.554 \| good	1.973 \| good	0.133 \| good
2025-10-22T08:00:00.000Z	21 \| good	2.359 \| good	9.888 \| good	23.036 \| good	0.492 \| good	1.868 \| good	0.131 \| good
2025-10-22T09:00:00.000Z	22 \| good	2.32 \| good	9.846 \| good	24.271 \| good	0.43 \| good	1.764 \| good	0.13 \| good
2025-10-22T10:00:00.000Z	24 \| good	3.05 \| good	12.234 \| good	26.086 \| good	0.436 \| good	1.853 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	21 \| good	3.441 \| good	15.004 \| good	23.338 \| good	0.442 \| good	1.942 \| good	0.127 \| good
2025-10-22T12:00:00.000Z	27 \| good	4.697 \| good	20.865 \| good	22.166 \| good	0.449 \| good	2.031 \| good	0.126 \| good
2025-10-22T13:00:00.000Z	27 \| good	4.972 \| good	21.134 \| good	21.628 \| good	0.463 \| good	2.066 \| good	0.127 \| good
2025-10-22T14:00:00.000Z	27 \| good	5.099 \| good	21.974 \| good	22.399 \| good	0.477 \| good	2.101 \| good	0.128 \| good
2025-10-22T15:00:00.000Z	27 \| good	5.155 \| good	22.096 \| good	22.128 \| good	0.492 \| good	2.136 \| good	0.129 \| good
2025-10-22T16:00:00.000Z	22 \| good	4.35 \| good	18.972 \| good	23.248 \| good	0.486 \| good	2.157 \| good	0.129 \| good
2025-10-22T17:00:00.000Z	22 \| good	0.996 \| good	3.987 \| good	23.612 \| good	0.48 \| good	2.177 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	23 \| good	0.455 \| good	1.926 \| good	24.826 \| good	0.474 \| good	2.197 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	25 \| good	0.893 \| good	3.149 \| good	27.089 \| good	0.476 \| good	2.449 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	24 \| good	1.714 \| good	6.987 \| good	26.472 \| good	0.478 \| good	2.701 \| good	0.133 \| good
2025-10-22T21:00:00.000Z	24 \| good	1.769 \| good	7.061 \| good	26.162 \| good	0.48 \| good	2.952 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	22 \| good	1.052 \| good	3.944 \| good	24.269 \| good	0.468 \| good	3.041 \| good	0.135 \| good
2025-10-22T23:00:00.000Z	20 \| good	0.521 \| good	1.958 \| good	22.233 \| good	0.455 \| good	3.13 \| good	0.134 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.663 \| good	15.99 \| good	24.408 \| good	0.442 \| good	3.219 \| good	0.134 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.602 \| good	19.968 \| good	23.297 \| good	0.427 \| good	2.992 \| good	0.133 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.992 \| good	21.878 \| good	24.957 \| good	0.412 \| good	2.765 \| good	0.131 \| good
2025-10-23T03:00:00.000Z	24 \| good	3.932 \| good	17.009 \| good	26.033 \| good	0.397 \| good	2.539 \| good	0.13 \| good
2025-10-23T04:00:00.000Z	24 \| good	3.736 \| good	16.018 \| good	26.16 \| good	0.379 \| good	2.355 \| good	0.13 \| good
2025-10-23T05:00:00.000Z	24 \| good	2.057 \| good	8.093 \| good	25.766 \| good	0.361 \| good	2.171 \| good	0.13 \| good
2025-10-23T06:00:00.000Z	24 \| good	1.907 \| good	7.9 \| good	26.099 \| good	0.343 \| good	1.987 \| good	0.129 \| good
2025-10-23T07:00:00.000Z	24 \| good	1.199 \| good	4.917 \| good	25.976 \| good	0.322 \| good	1.819 \| good	0.129 \| good
2025-10-23T08:00:00.000Z	24 \| good	1.131 \| good	4.855 \| good	25.702 \| good	0.301 \| good	1.651 \| good	0.128 \| good
2025-10-23T09:00:00.000Z	25 \| good	0.285 \| good	0.988 \| good	26.545 \| good	0.28 \| good	1.483 \| good	0.127 \| good
2025-10-23T10:00:00.000Z	25 \| good	1.267 \| good	5.013 \| good	27.085 \| good	0.285 \| good	1.581 \| good	0.127 \| good
2025-10-23T11:00:00.000Z	23 \| good	0.37 \| good	1.064 \| good	25.056 \| good	0.29 \| good	1.679 \| good	0.127 \| good
2025-10-23T12:00:00.000Z	20 \| good	0.778 \| good	2.948 \| good	21.81 \| good	0.295 \| good	1.776 \| good	0.127 \| good
2025-10-23T13:00:00.000Z	19 \| good	1.983 \| good	8.032 \| good	19.947 \| good	0.317 \| good	1.71 \| good	0.129 \| good
2025-10-23T14:00:00.000Z	18 \| good	1.536 \| good	5.993 \| good	19.098 \| good	0.339 \| good	1.644 \| good	0.131 \| good
2025-10-23T15:00:00.000Z	19 \| good	1.079 \| good	4.054 \| good	20.467 \| good	0.361 \| good	1.577 \| good	0.132 \| good
2025-10-23T16:00:00.000Z	21 \| good	1.157 \| good	4.819 \| good	23.03 \| good	0.358 \| good	1.483 \| good	0.133 \| good
2025-10-23T17:00:00.000Z	23 \| good	0.862 \| good	3.072 \| good	24.974 \| good	0.356 \| good	1.388 \| good	0.134 \| good
2025-10-23T18:00:00.000Z	26 \| good	1.209 \| good	4.936 \| good	27.712 \| good	0.353 \| good	1.293 \| good	0.134 \| good
2025-10-23T19:00:00.000Z	27 \| good	1.551 \| good	6.075 \| good	29.197 \| good	0.338 \| good	1.363 \| good	0.131 \| good
2025-10-23T20:00:00.000Z	27 \| good	1.651 \| good	6.978 \| good	28.707 \| good	0.324 \| good	1.434 \| good	0.127 \| good
2025-10-23T21:00:00.000Z	29 \| good	1.03 \| good	4.034 \| good	31.105 \| good	0.309 \| good	1.504 \| good	0.123 \| good
2025-10-23T22:00:00.000Z	27 \| good	0.411 \| good	1.888 \| good	28.91 \| good	0.329 \| good	1.994 \| good	0.125 \| good
2025-10-23T23:00:00.000Z	23 \| good	0.74 \| good	2.969 \| good	24.965 \| good	0.349 \| good	2.484 \| good	0.127 \| good
2025-10-24T00:00:00.000Z	31 \| good	2.022 \| good	2.115 \| good	32.546 \| good	0.37 \| good	2.977 \| good	0.129 \| good
2025-10-24T01:00:00.000Z	20 \| good	2.699 \| good	11.004 \| good	21.807 \| good	0.384 \| good	2.904 \| good	0.129 \| good
2025-10-24T02:00:00.000Z	20 \| good	3.172 \| good	13.869 \| good	21.792 \| good	0.399 \| good	2.834 \| good	0.13 \| good
2025-10-24T03:00:00.000Z	23 \| good	2.954 \| good	12.099 \| good	24.969 \| good	0.414 \| good	2.764 \| good	0.13 \| good
2025-10-24T04:00:00.000Z	24 \| good	2.715 \| good	11.062 \| good	25.575 \| good	0.419 \| good	2.747 \| good	0.131 \| good

Real-time air quality index in North Olmsted, Ohio today

Common air pollutants in North Olmsted, Ohio

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live North Olmsted, Ohio air quality forecast and history

Empower business decisions with accurate air quality data

North Olmsted, Ohio air quality map: Real-time AQI near you

Air quality in nearby cities

Westlake, Ohio

Fairview Park, Ohio

Bay Village, Ohio

Berea, Ohio

North Ridgeville, Ohio

Rocky River, Ohio

How accurate is Ohio, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for North Olmsted, Ohio updated?

When did North Olmsted, Ohio experience the worst air quality in the last 24 hours?

When did North Olmsted, Ohio have its best air quality in the last 24 hours?

What is the real-time air quality index for North Olmsted, Ohio?

Which pollutant is found most often in North Olmsted, Ohio?

What can I do if the air quality in North Olmsted, Ohio is poor?

What are the current PM2.5 levels in North Olmsted, Ohio?

What are the current PM10 levels at North Olmsted, Ohio?

What are the current carbon monoxide (CO) levels at North Olmsted, Ohio?

What are the current sulfur dioxide (SO2) levels at North Olmsted, Ohio?

What are the current ozone (O3) levels at North Olmsted, Ohio?

What are the current nitrogen dioxide (NO2) levels at North Olmsted, Ohio?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in North Olmsted, Ohio?

What are the current PM₁₀ levels at North Olmsted, Ohio?

What are the current sulfur dioxide (SO₂) levels at North Olmsted, Ohio?

What are the current ozone (O₃) levels at North Olmsted, Ohio?

What are the current nitrogen dioxide (NO₂) levels at North Olmsted, Ohio?