What is the PM10 level in Wooster, Ohio at the moment?

The PM10 concentration in Wooster, Ohio is 2.343 μg/m3 at the moment.

What is the sulfur dioxide (SO2) level in Wooster, Ohio at the moment?

Currently, Wooster, Ohio has a sulfur dioxide (SO2) concentration of 0.278 ppb.

What is the ozone (O3) level in Wooster, Ohio at the moment?

The current ozone (O3) level in Wooster, Ohio at the moment is 18.372 ppm.

What is the nitrogen dioxide (NO2) level in Wooster, Ohio at the moment?

Nitrogen dioxide (NO2) level in Wooster, Ohio at the moment is 3.409 ppb.

Live air quality index in Wooster, Ohio today

Q: What is the PM2.5 level in Wooster, Ohio at the moment?

PM2.5 levels in Wooster, Ohio are currently 0.684 μg/m3.

Stay updated with real-time air quality in Wooster, 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

Wooster, Ohio

Last updated: ... (Local time)

Major air pollutants in Wooster, Ohio

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.10 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.38 μg/m³

155

255

425

605+

Ozone (O₃)

12.22 ppb

201

201+

Sulfur Dioxide (SO₂)

1.38 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.80 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.12 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Wooster, Ohio

Get Live Pollen Counts

Wooster, Ohio

Scroll To Air Quality Map

Track live Wooster, Ohio air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-22T09:00:00.000Z	20 \| good	2.508 \| good	9.653 \| good	21.824 \| good	1.4 \| good	2.095 \| good	0.103 \| good
2025-10-22T10:00:00.000Z	19 \| good	2.6 \| good	12.772 \| good	20.438 \| good	1.073 \| good	2.716 \| good	0.102 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.712 \| good	15.251 \| good	20.332 \| good	1.074 \| good	3.061 \| good	0.12 \| good
2025-10-22T12:00:00.000Z	19 \| good	2.551 \| good	13.124 \| good	19.659 \| good	1.462 \| good	2.881 \| good	0.143 \| good
2025-10-22T13:00:00.000Z	19 \| good	2.665 \| good	11.397 \| good	19.831 \| good	1.141 \| good	6.543 \| good	0.14 \| good
2025-10-22T14:00:00.000Z	18 \| good	2.648 \| good	10.719 \| good	19.364 \| good	1.076 \| good	6.024 \| good	0.202 \| good
2025-10-22T15:00:00.000Z	20 \| good	2.829 \| good	11.24 \| good	22.303 \| good	1.107 \| good	4.913 \| good	0.126 \| good
2025-10-22T16:00:00.000Z	21 \| good	2.602 \| good	11.004 \| good	23.279 \| good	1.21 \| good	5.04 \| good	0.124 \| good
2025-10-22T17:00:00.000Z	21 \| good	3.333 \| good	12.042 \| good	22.783 \| good	1.154 \| good	4.966 \| good	0.141 \| good
2025-10-22T18:00:00.000Z	21 \| good	3.12 \| good	11.879 \| good	23.337 \| good	2.737 \| good	4.746 \| good	0.139 \| good
2025-10-22T19:00:00.000Z	22 \| good	3.002 \| good	11.844 \| good	24.229 \| good	1.812 \| good	4.609 \| good	0.142 \| good
2025-10-22T20:00:00.000Z	21 \| good	3.113 \| good	9.339 \| good	22.922 \| good	1.756 \| good	3.85 \| good	0.151 \| good
2025-10-22T21:00:00.000Z	19 \| good	2.731 \| good	10.739 \| good	19.574 \| good	2.685 \| good	3.546 \| good	0.146 \| good
2025-10-22T22:00:00.000Z	19 \| good	3.043 \| good	12.521 \| good	19.667 \| good	3.145 \| good	3.615 \| good	0.147 \| good
2025-10-22T23:00:00.000Z	18 \| good	3.042 \| good	10.461 \| good	18.868 \| good	2.217 \| good	3.956 \| good	0.146 \| good
2025-10-23T00:00:00.000Z	18 \| good	3.248 \| good	11.676 \| good	19.097 \| good	1.412 \| good	3.552 \| good	0.142 \| good
2025-10-23T01:00:00.000Z	17 \| good	3.064 \| good	9.949 \| good	17.946 \| good	1.202 \| good	3.42 \| good	0.144 \| good
2025-10-23T02:00:00.000Z	16 \| good	3.249 \| good	9.484 \| good	16.417 \| good	1.372 \| good	3.697 \| good	0.123 \| good
2025-10-23T03:00:00.000Z	16 \| good	3.224 \| good	11.515 \| good	17.091 \| good	1.199 \| good	4.527 \| good	0.121 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.563 \| good	10.139 \| good	15.344 \| good	1.623 \| good	3.021 \| good	0.111 \| good
2025-10-23T05:00:00.000Z	16 \| good	3.193 \| good	8.684 \| good	15.763 \| good	1.622 \| good	3.34 \| good	0.12 \| good
2025-10-23T06:00:00.000Z	16 \| good	3.366 \| good	9.203 \| good	15.511 \| good	1.119 \| good	3.167 \| good	0.103 \| good
2025-10-23T07:00:00.000Z	17 \| good	3.41 \| good	9.578 \| good	18.42 \| good	1.134 \| good	2.979 \| good	0.102 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.775 \| good	7.87 \| good	17.858 \| good	1.134 \| good	2.66 \| good	0.1 \| good
2025-10-23T09:00:00.000Z	22 \| good	3.806 \| good	7.599 \| good	15.056 \| good	1.088 \| good	3.065 \| good	0.1 \| good
2025-10-23T10:00:00.000Z	16 \| good	3.44 \| good	12.095 \| good	13.101 \| good	1.197 \| good	2.792 \| good	0.098 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.628 \| good	8.607 \| good	17.017 \| good	1.073 \| good	3.202 \| good	0.138 \| good
2025-10-23T12:00:00.000Z	22 \| good	3.605 \| good	10.209 \| good	15.484 \| good	1.073 \| good	3.767 \| good	0.14 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.48 \| good	9.406 \| good	16.095 \| good	1.203 \| good	5.315 \| good	0.206 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.615 \| good	9.95 \| good	14.422 \| good	1.205 \| good	6.02 \| good	0.207 \| good
2025-10-23T15:00:00.000Z	22 \| good	3.525 \| good	10.968 \| good	14.859 \| good	1.243 \| good	5.892 \| good	0.184 \| good
2025-10-23T16:00:00.000Z	22 \| good	3.707 \| good	8.966 \| good	14.662 \| good	1.106 \| good	3.134 \| good	0.168 \| good
2025-10-23T17:00:00.000Z	22 \| good	3.662 \| good	11.419 \| good	16.106 \| good	2.198 \| good	3.494 \| good	0.107 \| good
2025-10-23T18:00:00.000Z	17 \| good	2.594 \| good	9.591 \| good	18.462 \| good	2.047 \| good	4.357 \| good	0.151 \| good
2025-10-23T19:00:00.000Z	17 \| good	1.986 \| good	7.145 \| good	17.951 \| good	2.417 \| good	2.888 \| good	0.124 \| good
2025-10-23T20:00:00.000Z	16 \| good	1.819 \| good	7.097 \| good	17.327 \| good	2.684 \| good	3.039 \| good	0.126 \| good
2025-10-23T21:00:00.000Z	15 \| good	1.755 \| good	7.531 \| good	15.843 \| good	1.575 \| good	3.182 \| good	0.129 \| good
2025-10-23T22:00:00.000Z	15 \| good	1.73 \| good	5.924 \| good	15.942 \| good	1.418 \| good	2.821 \| good	0.141 \| good
2025-10-23T23:00:00.000Z	15 \| good	1.409 \| good	5.844 \| good	15.785 \| good	1.203 \| good	2.946 \| good	0.12 \| good
2025-10-24T00:00:00.000Z	15 \| good	2.064 \| good	5.784 \| good	16.192 \| good	1.275 \| good	4.417 \| good	0.164 \| good
2025-10-24T01:00:00.000Z	13 \| good	2.268 \| good	5.208 \| good	13.758 \| good	1.278 \| good	6.271 \| good	0.16 \| good
2025-10-24T02:00:00.000Z	13 \| good	2.335 \| good	5.617 \| good	14.146 \| good	1.373 \| good	4.991 \| good	0.132 \| good
2025-10-24T03:00:00.000Z	17 \| good	0.684 \| good	2.343 \| good	18.372 \| good	0.278 \| good	3.409 \| good	0.149 \| good
2025-10-24T04:00:00.000Z	16 \| good	2.834 \| good	6.905 \| good	10.842 \| good	1.285 \| good	4.367 \| good	0.164 \| good
2025-10-24T05:00:00.000Z	16 \| good	3.098 \| good	7.687 \| good	13.047 \| good	1.375 \| good	3.853 \| good	0.142 \| good
2025-10-24T06:00:00.000Z	16 \| good	3.021 \| good	10.813 \| good	12.9 \| good	1.376 \| good	4.168 \| good	0.154 \| good
2025-10-24T07:00:00.000Z	16 \| good	3.1 \| good	11.385 \| good	12.218 \| good	1.377 \| good	3.798 \| good	0.12 \| good
2025-10-24T08:00:00.000Z	16 \| good	3.1 \| good	11.385 \| good	12.218 \| good	1.377 \| good	3.798 \| good	0.12 \| good
2025-10-24T04:00:00.000Z	14 \| good	2.12 \| good	8.471 \| good	15.267 \| good	0.262 \| good	3.247 \| good	0.149 \| good
2025-10-24T05:00:00.000Z	14 \| good	2.257 \| good	9.112 \| good	14.675 \| good	0.248 \| good	3.185 \| good	0.147 \| good
2025-10-24T06:00:00.000Z	13 \| good	2.142 \| good	8.933 \| good	13.587 \| good	0.234 \| good	3.124 \| good	0.145 \| good
2025-10-24T07:00:00.000Z	13 \| good	2.137 \| good	8.881 \| good	13.604 \| good	0.24 \| good	3.005 \| good	0.143 \| good
2025-10-24T08:00:00.000Z	13 \| good	1.892 \| good	7.876 \| good	14.212 \| good	0.246 \| good	2.885 \| good	0.141 \| good
2025-10-24T09:00:00.000Z	12 \| good	1.693 \| good	6.953 \| good	13.382 \| good	0.252 \| good	2.766 \| good	0.138 \| good
2025-10-24T10:00:00.000Z	11 \| good	1.817 \| good	7.384 \| good	9.202 \| good	0.272 \| good	3.083 \| good	0.14 \| good
2025-10-24T11:00:00.000Z	11 \| good	1.751 \| good	7.301 \| good	7.914 \| good	0.292 \| good	3.4 \| good	0.143 \| good
2025-10-24T12:00:00.000Z	11 \| good	1.861 \| good	7.835 \| good	7.731 \| good	0.312 \| good	3.717 \| good	0.145 \| good
2025-10-24T13:00:00.000Z	13 \| good	1.434 \| good	5.881 \| good	13.717 \| good	0.349 \| good	3.162 \| good	0.142 \| good
2025-10-24T14:00:00.000Z	18 \| good	0.96 \| good	3.933 \| good	18.629 \| good	0.387 \| good	2.607 \| good	0.139 \| good
2025-10-24T15:00:00.000Z	21 \| good	0.885 \| good	3.445 \| good	22.943 \| good	0.424 \| good	2.052 \| good	0.136 \| good
2025-10-24T16:00:00.000Z	23 \| good	0.787 \| good	2.955 \| good	25.219 \| good	0.384 \| good	1.837 \| good	0.132 \| good
2025-10-24T17:00:00.000Z	25 \| good	0.927 \| good	3.881 \| good	26.757 \| good	0.344 \| good	1.621 \| good	0.127 \| good
2025-10-24T18:00:00.000Z	26 \| good	0.905 \| good	3.445 \| good	28.215 \| good	0.304 \| good	1.406 \| good	0.122 \| good
2025-10-24T19:00:00.000Z	28 \| good	1.271 \| good	5.039 \| good	30.48 \| good	0.291 \| good	1.426 \| good	0.122 \| good
2025-10-24T20:00:00.000Z	28 \| good	1.531 \| good	6.054 \| good	29.826 \| good	0.278 \| good	1.446 \| good	0.122 \| good
2025-10-24T21:00:00.000Z	28 \| good	1.872 \| good	7.852 \| good	30.02 \| good	0.266 \| good	1.466 \| good	0.121 \| good
2025-10-24T22:00:00.000Z	28 \| good	2.507 \| good	10.378 \| good	30.293 \| good	0.298 \| good	3.331 \| good	0.138 \| good
2025-10-24T23:00:00.000Z	24 \| good	4.263 \| good	18.499 \| good	25.821 \| good	0.33 \| good	5.197 \| good	0.155 \| good
2025-10-25T00:00:00.000Z	23 \| good	4.309 \| good	18.773 \| good	25.351 \| good	0.362 \| good	7.063 \| good	0.172 \| good
2025-10-25T01:00:00.000Z	22 \| good	4.024 \| good	17.255 \| good	21.619 \| good	0.383 \| good	7.466 \| good	0.178 \| good
2025-10-25T02:00:00.000Z	22 \| good	4.29 \| good	18.819 \| good	19.392 \| good	0.404 \| good	7.869 \| good	0.183 \| good
2025-10-25T03:00:00.000Z	27 \| good	4.815 \| good	20.824 \| good	17.036 \| good	0.425 \| good	8.272 \| good	0.188 \| good
2025-10-25T04:00:00.000Z	27 \| good	5.5 \| good	23.892 \| good	13.975 \| good	0.422 \| good	8.828 \| good	0.193 \| good
2025-10-25T05:00:00.000Z	33 \| good	5.928 \| good	26.219 \| good	10.942 \| good	0.419 \| good	9.385 \| good	0.198 \| good
2025-10-25T06:00:00.000Z	33 \| good	5.995 \| good	26.264 \| good	8.881 \| good	0.416 \| good	9.941 \| good	0.203 \| good
2025-10-25T07:00:00.000Z	33 \| good	5.872 \| good	25.354 \| good	10.238 \| good	0.385 \| good	9.124 \| good	0.196 \| good
2025-10-25T08:00:00.000Z	33 \| good	5.676 \| good	24.742 \| good	10.381 \| good	0.353 \| good	8.307 \| good	0.188 \| good
2025-10-25T09:00:00.000Z	33 \| good	5.779 \| good	25.175 \| good	10.685 \| good	0.322 \| good	7.49 \| good	0.181 \| good
2025-10-25T10:00:00.000Z	27 \| good	5.398 \| good	23.372 \| good	11.705 \| good	0.353 \| good	8.143 \| good	0.187 \| good
2025-10-25T11:00:00.000Z	33 \| good	6.388 \| good	28.477 \| good	9.254 \| good	0.384 \| good	8.796 \| good	0.193 \| good
2025-10-25T12:00:00.000Z	38 \| good	7.093 \| good	31.274 \| good	9.055 \| good	0.415 \| good	9.449 \| good	0.2 \| good
2025-10-25T13:00:00.000Z	44 \| good	8.246 \| good	36.397 \| good	11.581 \| good	0.468 \| good	7.008 \| good	0.178 \| good
2025-10-25T14:00:00.000Z	27 \| good	5.469 \| good	23.556 \| good	21.27 \| good	0.52 \| good	4.566 \| good	0.156 \| good
2025-10-25T15:00:00.000Z	27 \| good	4.502 \| good	19.534 \| good	27.047 \| good	0.572 \| good	2.124 \| good	0.135 \| good
2025-10-25T16:00:00.000Z	28 \| good	5.157 \| good	22.147 \| good	29.513 \| good	0.543 \| good	1.83 \| good	0.129 \| good
2025-10-25T17:00:00.000Z	33 \| good	5.787 \| good	25.448 \| good	31.77 \| good	0.513 \| good	1.535 \| good	0.124 \| good
2025-10-25T18:00:00.000Z	33 \| good	6.429 \| good	28.711 \| good	33.057 \| good	0.483 \| good	1.241 \| good	0.119 \| good
2025-10-25T19:00:00.000Z	38 \| good	6.809 \| good	30.254 \| good	33.205 \| good	0.489 \| good	1.296 \| good	0.119 \| good
2025-10-25T20:00:00.000Z	38 \| good	6.832 \| good	30.293 \| good	33.48 \| good	0.496 \| good	1.352 \| good	0.12 \| good
2025-10-25T21:00:00.000Z	49 \| good	8.929 \| good	39.456 \| good	33.184 \| good	0.503 \| good	1.407 \| good	0.12 \| good
2025-10-25T22:00:00.000Z	52 \| moderate	9.749 \| good	43.559 \| good	30.927 \| good	0.618 \| good	6.651 \| good	0.171 \| good
2025-10-25T23:00:00.000Z	56 \| moderate	11.607 \| good	51.913 \| good	26.819 \| good	0.733 \| good	11.894 \| good	0.221 \| good
2025-10-26T00:00:00.000Z	56 \| moderate	11.854 \| good	11.952 \| good	18.697 \| good	0.837 \| good	17.148 \| good	0.273 \| good
2025-10-26T01:00:00.000Z	64 \| moderate	15.529 \| fine	69.528 \| fine	15.803 \| good	0.897 \| good	17.365 \| good	0.28 \| good
2025-10-26T02:00:00.000Z	66 \| moderate	17.142 \| fine	76.015 \| fine	10.692 \| good	0.947 \| good	17.593 \| good	0.287 \| good
2025-10-26T03:00:00.000Z	66 \| moderate	16.658 \| fine	73.907 \| fine	11.548 \| good	0.997 \| good	17.821 \| good	0.294 \| good

Wooster

Get reliable air quality data to drive your business

Wooster, Ohio air quality map: Stay updated on AQI near you

0.12ppm

How accurate is Ohio, USA air quality data?

Air quality and pollutant data for Ohio, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Wooster, Ohio?

The air quality information for Wooster, Ohio is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Wooster, Ohio at its worst?

In the past 24 hours, the air quality in Wooster, Ohio was at its worst at 05:00:00 on 2025-10-23.

When did Wooster, Ohio experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Wooster, Ohio was observed at 02:00:00 on 2025-10-24.

What is the AQI in Wooster, Ohio right now?

As of now, the AQI in Wooster, Ohio is 17, indicating Good conditions.

What is the most common type of pollution in Wooster, Ohio?

Wooster, Ohio air has the highest levels of O3.

What should I do in case of poor air quality in Wooster, Ohio?

Poor air quality in Wooster, Ohio means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Wooster, Ohio at the moment?

PM_2.5 levels in Wooster, Ohio are currently 0.684 μg/m³.

What is the PM₁₀ level in Wooster, Ohio at the moment?

The PM₁₀ concentration in Wooster, Ohio is 2.343 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Wooster, Ohio at the moment?

The current carbon monoxide (CO) concentration in Wooster, Ohio is 0.149 ppm.

What is the sulfur dioxide (SO₂) level in Wooster, Ohio at the moment?

Currently, Wooster, Ohio has a sulfur dioxide (SO₂) concentration of 0.278 ppb.

What is the ozone (O₃) level in Wooster, Ohio at the moment?

The current ozone (O₃) level in Wooster, Ohio at the moment is 18.372 ppm.

What is the nitrogen dioxide (NO₂) level in Wooster, Ohio at the moment?

Nitrogen dioxide (NO₂) level in Wooster, Ohio at the moment is 3.409 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-22T09:00:00.000Z	20 \| good	2.508 \| good	9.653 \| good	21.824 \| good	1.4 \| good	2.095 \| good	0.103 \| good
2025-10-22T10:00:00.000Z	19 \| good	2.6 \| good	12.772 \| good	20.438 \| good	1.073 \| good	2.716 \| good	0.102 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.712 \| good	15.251 \| good	20.332 \| good	1.074 \| good	3.061 \| good	0.12 \| good
2025-10-22T12:00:00.000Z	19 \| good	2.551 \| good	13.124 \| good	19.659 \| good	1.462 \| good	2.881 \| good	0.143 \| good
2025-10-22T13:00:00.000Z	19 \| good	2.665 \| good	11.397 \| good	19.831 \| good	1.141 \| good	6.543 \| good	0.14 \| good
2025-10-22T14:00:00.000Z	18 \| good	2.648 \| good	10.719 \| good	19.364 \| good	1.076 \| good	6.024 \| good	0.202 \| good
2025-10-22T15:00:00.000Z	20 \| good	2.829 \| good	11.24 \| good	22.303 \| good	1.107 \| good	4.913 \| good	0.126 \| good
2025-10-22T16:00:00.000Z	21 \| good	2.602 \| good	11.004 \| good	23.279 \| good	1.21 \| good	5.04 \| good	0.124 \| good
2025-10-22T17:00:00.000Z	21 \| good	3.333 \| good	12.042 \| good	22.783 \| good	1.154 \| good	4.966 \| good	0.141 \| good
2025-10-22T18:00:00.000Z	21 \| good	3.12 \| good	11.879 \| good	23.337 \| good	2.737 \| good	4.746 \| good	0.139 \| good
2025-10-22T19:00:00.000Z	22 \| good	3.002 \| good	11.844 \| good	24.229 \| good	1.812 \| good	4.609 \| good	0.142 \| good
2025-10-22T20:00:00.000Z	21 \| good	3.113 \| good	9.339 \| good	22.922 \| good	1.756 \| good	3.85 \| good	0.151 \| good
2025-10-22T21:00:00.000Z	19 \| good	2.731 \| good	10.739 \| good	19.574 \| good	2.685 \| good	3.546 \| good	0.146 \| good
2025-10-22T22:00:00.000Z	19 \| good	3.043 \| good	12.521 \| good	19.667 \| good	3.145 \| good	3.615 \| good	0.147 \| good
2025-10-22T23:00:00.000Z	18 \| good	3.042 \| good	10.461 \| good	18.868 \| good	2.217 \| good	3.956 \| good	0.146 \| good
2025-10-23T00:00:00.000Z	18 \| good	3.248 \| good	11.676 \| good	19.097 \| good	1.412 \| good	3.552 \| good	0.142 \| good
2025-10-23T01:00:00.000Z	17 \| good	3.064 \| good	9.949 \| good	17.946 \| good	1.202 \| good	3.42 \| good	0.144 \| good
2025-10-23T02:00:00.000Z	16 \| good	3.249 \| good	9.484 \| good	16.417 \| good	1.372 \| good	3.697 \| good	0.123 \| good
2025-10-23T03:00:00.000Z	16 \| good	3.224 \| good	11.515 \| good	17.091 \| good	1.199 \| good	4.527 \| good	0.121 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.563 \| good	10.139 \| good	15.344 \| good	1.623 \| good	3.021 \| good	0.111 \| good
2025-10-23T05:00:00.000Z	16 \| good	3.193 \| good	8.684 \| good	15.763 \| good	1.622 \| good	3.34 \| good	0.12 \| good
2025-10-23T06:00:00.000Z	16 \| good	3.366 \| good	9.203 \| good	15.511 \| good	1.119 \| good	3.167 \| good	0.103 \| good
2025-10-23T07:00:00.000Z	17 \| good	3.41 \| good	9.578 \| good	18.42 \| good	1.134 \| good	2.979 \| good	0.102 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.775 \| good	7.87 \| good	17.858 \| good	1.134 \| good	2.66 \| good	0.1 \| good
2025-10-23T09:00:00.000Z	22 \| good	3.806 \| good	7.599 \| good	15.056 \| good	1.088 \| good	3.065 \| good	0.1 \| good
2025-10-23T10:00:00.000Z	16 \| good	3.44 \| good	12.095 \| good	13.101 \| good	1.197 \| good	2.792 \| good	0.098 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.628 \| good	8.607 \| good	17.017 \| good	1.073 \| good	3.202 \| good	0.138 \| good
2025-10-23T12:00:00.000Z	22 \| good	3.605 \| good	10.209 \| good	15.484 \| good	1.073 \| good	3.767 \| good	0.14 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.48 \| good	9.406 \| good	16.095 \| good	1.203 \| good	5.315 \| good	0.206 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.615 \| good	9.95 \| good	14.422 \| good	1.205 \| good	6.02 \| good	0.207 \| good
2025-10-23T15:00:00.000Z	22 \| good	3.525 \| good	10.968 \| good	14.859 \| good	1.243 \| good	5.892 \| good	0.184 \| good
2025-10-23T16:00:00.000Z	22 \| good	3.707 \| good	8.966 \| good	14.662 \| good	1.106 \| good	3.134 \| good	0.168 \| good
2025-10-23T17:00:00.000Z	22 \| good	3.662 \| good	11.419 \| good	16.106 \| good	2.198 \| good	3.494 \| good	0.107 \| good
2025-10-23T18:00:00.000Z	17 \| good	2.594 \| good	9.591 \| good	18.462 \| good	2.047 \| good	4.357 \| good	0.151 \| good
2025-10-23T19:00:00.000Z	17 \| good	1.986 \| good	7.145 \| good	17.951 \| good	2.417 \| good	2.888 \| good	0.124 \| good
2025-10-23T20:00:00.000Z	16 \| good	1.819 \| good	7.097 \| good	17.327 \| good	2.684 \| good	3.039 \| good	0.126 \| good
2025-10-23T21:00:00.000Z	15 \| good	1.755 \| good	7.531 \| good	15.843 \| good	1.575 \| good	3.182 \| good	0.129 \| good
2025-10-23T22:00:00.000Z	15 \| good	1.73 \| good	5.924 \| good	15.942 \| good	1.418 \| good	2.821 \| good	0.141 \| good
2025-10-23T23:00:00.000Z	15 \| good	1.409 \| good	5.844 \| good	15.785 \| good	1.203 \| good	2.946 \| good	0.12 \| good
2025-10-24T00:00:00.000Z	15 \| good	2.064 \| good	5.784 \| good	16.192 \| good	1.275 \| good	4.417 \| good	0.164 \| good
2025-10-24T01:00:00.000Z	13 \| good	2.268 \| good	5.208 \| good	13.758 \| good	1.278 \| good	6.271 \| good	0.16 \| good
2025-10-24T02:00:00.000Z	13 \| good	2.335 \| good	5.617 \| good	14.146 \| good	1.373 \| good	4.991 \| good	0.132 \| good
2025-10-24T03:00:00.000Z	17 \| good	0.684 \| good	2.343 \| good	18.372 \| good	0.278 \| good	3.409 \| good	0.149 \| good
2025-10-24T04:00:00.000Z	16 \| good	2.834 \| good	6.905 \| good	10.842 \| good	1.285 \| good	4.367 \| good	0.164 \| good
2025-10-24T05:00:00.000Z	16 \| good	3.098 \| good	7.687 \| good	13.047 \| good	1.375 \| good	3.853 \| good	0.142 \| good
2025-10-24T06:00:00.000Z	16 \| good	3.021 \| good	10.813 \| good	12.9 \| good	1.376 \| good	4.168 \| good	0.154 \| good
2025-10-24T07:00:00.000Z	16 \| good	3.1 \| good	11.385 \| good	12.218 \| good	1.377 \| good	3.798 \| good	0.12 \| good
2025-10-24T08:00:00.000Z	16 \| good	3.1 \| good	11.385 \| good	12.218 \| good	1.377 \| good	3.798 \| good	0.12 \| good
2025-10-24T04:00:00.000Z	14 \| good	2.12 \| good	8.471 \| good	15.267 \| good	0.262 \| good	3.247 \| good	0.149 \| good
2025-10-24T05:00:00.000Z	14 \| good	2.257 \| good	9.112 \| good	14.675 \| good	0.248 \| good	3.185 \| good	0.147 \| good
2025-10-24T06:00:00.000Z	13 \| good	2.142 \| good	8.933 \| good	13.587 \| good	0.234 \| good	3.124 \| good	0.145 \| good
2025-10-24T07:00:00.000Z	13 \| good	2.137 \| good	8.881 \| good	13.604 \| good	0.24 \| good	3.005 \| good	0.143 \| good
2025-10-24T08:00:00.000Z	13 \| good	1.892 \| good	7.876 \| good	14.212 \| good	0.246 \| good	2.885 \| good	0.141 \| good
2025-10-24T09:00:00.000Z	12 \| good	1.693 \| good	6.953 \| good	13.382 \| good	0.252 \| good	2.766 \| good	0.138 \| good
2025-10-24T10:00:00.000Z	11 \| good	1.817 \| good	7.384 \| good	9.202 \| good	0.272 \| good	3.083 \| good	0.14 \| good
2025-10-24T11:00:00.000Z	11 \| good	1.751 \| good	7.301 \| good	7.914 \| good	0.292 \| good	3.4 \| good	0.143 \| good
2025-10-24T12:00:00.000Z	11 \| good	1.861 \| good	7.835 \| good	7.731 \| good	0.312 \| good	3.717 \| good	0.145 \| good
2025-10-24T13:00:00.000Z	13 \| good	1.434 \| good	5.881 \| good	13.717 \| good	0.349 \| good	3.162 \| good	0.142 \| good
2025-10-24T14:00:00.000Z	18 \| good	0.96 \| good	3.933 \| good	18.629 \| good	0.387 \| good	2.607 \| good	0.139 \| good
2025-10-24T15:00:00.000Z	21 \| good	0.885 \| good	3.445 \| good	22.943 \| good	0.424 \| good	2.052 \| good	0.136 \| good
2025-10-24T16:00:00.000Z	23 \| good	0.787 \| good	2.955 \| good	25.219 \| good	0.384 \| good	1.837 \| good	0.132 \| good
2025-10-24T17:00:00.000Z	25 \| good	0.927 \| good	3.881 \| good	26.757 \| good	0.344 \| good	1.621 \| good	0.127 \| good
2025-10-24T18:00:00.000Z	26 \| good	0.905 \| good	3.445 \| good	28.215 \| good	0.304 \| good	1.406 \| good	0.122 \| good
2025-10-24T19:00:00.000Z	28 \| good	1.271 \| good	5.039 \| good	30.48 \| good	0.291 \| good	1.426 \| good	0.122 \| good
2025-10-24T20:00:00.000Z	28 \| good	1.531 \| good	6.054 \| good	29.826 \| good	0.278 \| good	1.446 \| good	0.122 \| good
2025-10-24T21:00:00.000Z	28 \| good	1.872 \| good	7.852 \| good	30.02 \| good	0.266 \| good	1.466 \| good	0.121 \| good
2025-10-24T22:00:00.000Z	28 \| good	2.507 \| good	10.378 \| good	30.293 \| good	0.298 \| good	3.331 \| good	0.138 \| good
2025-10-24T23:00:00.000Z	24 \| good	4.263 \| good	18.499 \| good	25.821 \| good	0.33 \| good	5.197 \| good	0.155 \| good
2025-10-25T00:00:00.000Z	23 \| good	4.309 \| good	18.773 \| good	25.351 \| good	0.362 \| good	7.063 \| good	0.172 \| good
2025-10-25T01:00:00.000Z	22 \| good	4.024 \| good	17.255 \| good	21.619 \| good	0.383 \| good	7.466 \| good	0.178 \| good
2025-10-25T02:00:00.000Z	22 \| good	4.29 \| good	18.819 \| good	19.392 \| good	0.404 \| good	7.869 \| good	0.183 \| good
2025-10-25T03:00:00.000Z	27 \| good	4.815 \| good	20.824 \| good	17.036 \| good	0.425 \| good	8.272 \| good	0.188 \| good
2025-10-25T04:00:00.000Z	27 \| good	5.5 \| good	23.892 \| good	13.975 \| good	0.422 \| good	8.828 \| good	0.193 \| good
2025-10-25T05:00:00.000Z	33 \| good	5.928 \| good	26.219 \| good	10.942 \| good	0.419 \| good	9.385 \| good	0.198 \| good
2025-10-25T06:00:00.000Z	33 \| good	5.995 \| good	26.264 \| good	8.881 \| good	0.416 \| good	9.941 \| good	0.203 \| good
2025-10-25T07:00:00.000Z	33 \| good	5.872 \| good	25.354 \| good	10.238 \| good	0.385 \| good	9.124 \| good	0.196 \| good
2025-10-25T08:00:00.000Z	33 \| good	5.676 \| good	24.742 \| good	10.381 \| good	0.353 \| good	8.307 \| good	0.188 \| good
2025-10-25T09:00:00.000Z	33 \| good	5.779 \| good	25.175 \| good	10.685 \| good	0.322 \| good	7.49 \| good	0.181 \| good
2025-10-25T10:00:00.000Z	27 \| good	5.398 \| good	23.372 \| good	11.705 \| good	0.353 \| good	8.143 \| good	0.187 \| good
2025-10-25T11:00:00.000Z	33 \| good	6.388 \| good	28.477 \| good	9.254 \| good	0.384 \| good	8.796 \| good	0.193 \| good
2025-10-25T12:00:00.000Z	38 \| good	7.093 \| good	31.274 \| good	9.055 \| good	0.415 \| good	9.449 \| good	0.2 \| good
2025-10-25T13:00:00.000Z	44 \| good	8.246 \| good	36.397 \| good	11.581 \| good	0.468 \| good	7.008 \| good	0.178 \| good
2025-10-25T14:00:00.000Z	27 \| good	5.469 \| good	23.556 \| good	21.27 \| good	0.52 \| good	4.566 \| good	0.156 \| good
2025-10-25T15:00:00.000Z	27 \| good	4.502 \| good	19.534 \| good	27.047 \| good	0.572 \| good	2.124 \| good	0.135 \| good
2025-10-25T16:00:00.000Z	28 \| good	5.157 \| good	22.147 \| good	29.513 \| good	0.543 \| good	1.83 \| good	0.129 \| good
2025-10-25T17:00:00.000Z	33 \| good	5.787 \| good	25.448 \| good	31.77 \| good	0.513 \| good	1.535 \| good	0.124 \| good
2025-10-25T18:00:00.000Z	33 \| good	6.429 \| good	28.711 \| good	33.057 \| good	0.483 \| good	1.241 \| good	0.119 \| good
2025-10-25T19:00:00.000Z	38 \| good	6.809 \| good	30.254 \| good	33.205 \| good	0.489 \| good	1.296 \| good	0.119 \| good
2025-10-25T20:00:00.000Z	38 \| good	6.832 \| good	30.293 \| good	33.48 \| good	0.496 \| good	1.352 \| good	0.12 \| good
2025-10-25T21:00:00.000Z	49 \| good	8.929 \| good	39.456 \| good	33.184 \| good	0.503 \| good	1.407 \| good	0.12 \| good
2025-10-25T22:00:00.000Z	52 \| moderate	9.749 \| good	43.559 \| good	30.927 \| good	0.618 \| good	6.651 \| good	0.171 \| good
2025-10-25T23:00:00.000Z	56 \| moderate	11.607 \| good	51.913 \| good	26.819 \| good	0.733 \| good	11.894 \| good	0.221 \| good
2025-10-26T00:00:00.000Z	56 \| moderate	11.854 \| good	11.952 \| good	18.697 \| good	0.837 \| good	17.148 \| good	0.273 \| good
2025-10-26T01:00:00.000Z	64 \| moderate	15.529 \| fine	69.528 \| fine	15.803 \| good	0.897 \| good	17.365 \| good	0.28 \| good
2025-10-26T02:00:00.000Z	66 \| moderate	17.142 \| fine	76.015 \| fine	10.692 \| good	0.947 \| good	17.593 \| good	0.287 \| good
2025-10-26T03:00:00.000Z	66 \| moderate	16.658 \| fine	73.907 \| fine	11.548 \| good	0.997 \| good	17.821 \| good	0.294 \| good

Live air quality index in Wooster, Ohio today

Major air pollutants in Wooster, Ohio

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Air quality in nearby cities

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Ashland, Ohio

Massillon, Ohio

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New Franklin, Ohio

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Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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