What are the current PM10 levels at Marysville, California?

The current PM10 levels in Marysville, California are 4.083 μg/m3.

What are the current sulfur dioxide (SO2) levels at Marysville, California?

The current sulfur dioxide (SO2) levels in Marysville, California are 0.401 ppb.

What are the current ozone (O3) levels at Marysville, California?

The current ozone (O3) levels at Marysville, California is 29.076 ppm.

What are the current nitrogen dioxide (NO2) levels at Marysville, California?

The current nitrogen dioxide (NO2) levels at Marysville, California is 3.001 ppb.

Real-time air quality index in Marysville, California today

Q: What are the current PM2.5 levels in Marysville, California?

The measured PM2.5 levels in Marysville, California at present are 0.919 μg/m3.

Stay updated with real-time air quality in Marysville, California 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

Marysville, California

Last updated: ... (Local time)

Common air pollutants in Marysville, California

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

0.39 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

6.25 μg/m³

155

255

425

605+

Ozone (O₃)

29.13 ppb

201

201+

Sulfur Dioxide (SO₂)

1.03 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.98 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.28 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Marysville, California

Get Live Pollen Counts

Marysville, California

Scroll To Air Quality Map

Track live Marysville, California air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-26T03:00:00.000Z	22 \| good	1.609 \| good	9.436 \| good	24.475 \| good	0.477 \| good	3.571 \| good	0.288 \| good
2025-10-26T04:00:00.000Z	23 \| good	1.979 \| good	6.931 \| good	25.257 \| good	0.477 \| good	3.863 \| good	0.27 \| good
2025-10-26T05:00:00.000Z	20 \| good	2.585 \| good	6.838 \| good	22.469 \| good	0.518 \| good	4.403 \| good	0.271 \| good
2025-10-26T06:00:00.000Z	20 \| good	3.396 \| good	9.232 \| good	22.463 \| good	0.499 \| good	4.968 \| good	0.331 \| good
2025-10-26T07:00:00.000Z	22 \| good	3.634 \| good	11.166 \| good	21.349 \| good	0.477 \| good	5.089 \| good	0.331 \| good
2025-10-26T08:00:00.000Z	22 \| good	3.637 \| good	10.326 \| good	20.179 \| good	0.426 \| good	3.923 \| good	0.316 \| good
2025-10-26T09:00:00.000Z	22 \| good	3.671 \| good	10.317 \| good	18.825 \| good	0.458 \| good	3.811 \| good	0.328 \| good
2025-10-26T10:00:00.000Z	22 \| good	4.127 \| good	10.806 \| good	18.991 \| good	0.217 \| good	3.908 \| good	0.149 \| good
2025-10-26T11:00:00.000Z	22 \| good	3.591 \| good	11.117 \| good	18.299 \| good	0.219 \| good	4.253 \| good	0.139 \| good
2025-10-26T12:00:00.000Z	27 \| good	5.499 \| good	11.703 \| good	17.785 \| good	0.331 \| good	4.339 \| good	0.32 \| good
2025-10-26T13:00:00.000Z	38 \| good	7.048 \| good	13.766 \| good	14.245 \| good	0.489 \| good	5.477 \| good	0.309 \| good
2025-10-26T14:00:00.000Z	38 \| good	6.715 \| good	12.199 \| good	14.667 \| good	0.487 \| good	5.497 \| good	0.284 \| good
2025-10-26T15:00:00.000Z	33 \| good	5.985 \| good	10.954 \| good	15.186 \| good	0.465 \| good	5.855 \| good	0.265 \| good
2025-10-26T16:00:00.000Z	27 \| good	4.658 \| good	10.176 \| good	13.933 \| good	0.411 \| good	7.042 \| good	0.293 \| good
2025-10-26T17:00:00.000Z	22 \| good	4.253 \| good	9.327 \| good	13.992 \| good	0.436 \| good	6.715 \| good	0.31 \| good
2025-10-26T18:00:00.000Z	22 \| good	3.834 \| good	10.322 \| good	16.194 \| good	0.517 \| good	5.28 \| good	0.305 \| good
2025-10-26T19:00:00.000Z	22 \| good	4.07 \| good	11.092 \| good	18.064 \| good	0.533 \| good	4.947 \| good	0.225 \| good
2025-10-26T20:00:00.000Z	22 \| good	4.416 \| good	12.368 \| good	18.126 \| good	0.573 \| good	4.577 \| good	0.222 \| good
2025-10-26T21:00:00.000Z	22 \| good	4.106 \| good	14.241 \| good	21.797 \| good	0.556 \| good	3.891 \| good	0.222 \| good
2025-10-26T22:00:00.000Z	23 \| good	3.792 \| good	13.604 \| good	24.602 \| good	0.519 \| good	3.393 \| good	0.249 \| good
2025-10-26T23:00:00.000Z	23 \| good	3.403 \| good	11.19 \| good	24.688 \| good	0.48 \| good	3.509 \| good	0.24 \| good
2025-10-27T00:00:00.000Z	24 \| good	3.071 \| good	9.89 \| good	26.151 \| good	0.641 \| good	2.912 \| good	0.229 \| good
2025-10-27T01:00:00.000Z	24 \| good	2.629 \| good	10.349 \| good	25.85 \| good	0.623 \| good	2.458 \| good	0.229 \| good
2025-10-27T02:00:00.000Z	22 \| good	2.341 \| good	10.614 \| good	24.487 \| good	0.496 \| good	3.049 \| good	0.265 \| good
2025-10-27T03:00:00.000Z	23 \| good	3.103 \| good	8.938 \| good	25.42 \| good	0.515 \| good	3.429 \| good	0.265 \| good
2025-10-27T04:00:00.000Z	23 \| good	2.757 \| good	7.249 \| good	25.148 \| good	0.462 \| good	3.064 \| good	0.249 \| good
2025-10-27T05:00:00.000Z	23 \| good	2.827 \| good	7.549 \| good	25.111 \| good	0.515 \| good	3.228 \| good	0.249 \| good
2025-10-27T06:00:00.000Z	24 \| good	2.03 \| good	7.154 \| good	25.652 \| good	0.478 \| good	2.943 \| good	0.213 \| good
2025-10-27T07:00:00.000Z	24 \| good	1.705 \| good	6.98 \| good	25.713 \| good	0.5 \| good	2.437 \| good	0.213 \| good
2025-10-27T08:00:00.000Z	23 \| good	1.962 \| good	8.227 \| good	25.153 \| good	0.404 \| good	2.441 \| good	0.213 \| good
2025-10-27T09:00:00.000Z	22 \| good	2.792 \| good	8.242 \| good	23.952 \| good	0.535 \| good	3.451 \| good	0.213 \| good
2025-10-27T10:00:00.000Z	20 \| good	2.511 \| good	7.735 \| good	21.855 \| good	0.494 \| good	3.703 \| good	0.213 \| good
2025-10-27T11:00:00.000Z	22 \| good	1.979 \| good	10.039 \| good	23.994 \| good	0.476 \| good	3.193 \| good	0.249 \| good
2025-10-27T12:00:00.000Z	20 \| good	1.838 \| good	10.068 \| good	22.059 \| good	0.439 \| good	3.413 \| good	0.249 \| good
2025-10-27T13:00:00.000Z	19 \| good	2.463 \| good	10.613 \| good	19.956 \| good	0.464 \| good	3.564 \| good	0.249 \| good
2025-10-27T14:00:00.000Z	19 \| good	3.044 \| good	9.802 \| good	20.042 \| good	0.464 \| good	3.677 \| good	0.285 \| good
2025-10-27T15:00:00.000Z	17 \| good	2.967 \| good	7.584 \| good	18.146 \| good	0.558 \| good	3.379 \| good	0.301 \| good
2025-10-27T16:00:00.000Z	18 \| good	2.418 \| good	5.373 \| good	18.591 \| good	0.498 \| good	3.76 \| good	0.317 \| good
2025-10-27T17:00:00.000Z	19 \| good	2.66 \| good	4.963 \| good	20.309 \| good	0.515 \| good	3.176 \| good	0.281 \| good
2025-10-27T18:00:00.000Z	19 \| good	2.264 \| good	10.376 \| good	20.717 \| good	0.402 \| good	2.653 \| good	0.279 \| good
2025-10-27T19:00:00.000Z	19 \| good	0.814 \| good	9.107 \| good	19.977 \| good	0.456 \| good	2.477 \| good	0.262 \| good
2025-10-27T20:00:00.000Z	19 \| good	1.612 \| good	8.028 \| good	21.123 \| good	0.424 \| good	2.509 \| good	0.263 \| good
2025-10-27T21:00:00.000Z	22 \| good	1.542 \| good	7.786 \| good	23.641 \| good	0.497 \| good	2.413 \| good	0.25 \| good
2025-10-27T22:00:00.000Z	24 \| good	1.534 \| good	6.493 \| good	25.582 \| good	0.483 \| good	2.771 \| good	0.248 \| good
2025-10-27T23:00:00.000Z	25 \| good	1.006 \| good	4.507 \| good	27.355 \| good	0.421 \| good	2.707 \| good	0.249 \| good
2025-10-28T00:00:00.000Z	27 \| good	1.026 \| good	4.545 \| good	29.391 \| good	0.401 \| good	3.021 \| good	0.233 \| good
2025-10-28T01:00:00.000Z	29 \| good	1.394 \| good	5.936 \| good	30.534 \| good	0.946 \| good	3.229 \| good	0.233 \| good
2025-10-28T02:00:00.000Z	28 \| good	0.927 \| good	7.73 \| good	29.749 \| good	1.03 \| good	3.916 \| good	0.286 \| good
2025-10-28T02:00:00.000Z	27 \| good	0.393 \| good	6.251 \| good	29.131 \| good	1.03 \| good	3.982 \| good	0.285 \| good
2025-10-28T02:00:00.000Z	28 \| good	1.902 \| good	7.787 \| good	30.414 \| good	0.259 \| good	3.334 \| good	0.144 \| good
2025-10-28T03:00:00.000Z	24 \| good	2.625 \| good	10.752 \| good	25.728 \| good	0.287 \| good	4.417 \| good	0.151 \| good
2025-10-28T04:00:00.000Z	22 \| good	3.809 \| good	16.6 \| good	21.961 \| good	0.288 \| good	5.248 \| good	0.162 \| good
2025-10-28T05:00:00.000Z	17 \| good	1.784 \| good	7.153 \| good	18.406 \| good	0.288 \| good	6.08 \| good	0.173 \| good
2025-10-28T06:00:00.000Z	15 \| good	1.571 \| good	6.183 \| good	15.752 \| good	0.289 \| good	6.912 \| good	0.184 \| good
2025-10-28T07:00:00.000Z	15 \| good	1.091 \| good	4.416 \| good	15.931 \| good	0.255 \| good	6.55 \| good	0.18 \| good
2025-10-28T08:00:00.000Z	15 \| good	1.857 \| good	7.569 \| good	16.27 \| good	0.221 \| good	6.188 \| good	0.177 \| good
2025-10-28T09:00:00.000Z	12 \| good	1.739 \| good	7.248 \| good	13.446 \| good	0.187 \| good	5.827 \| good	0.173 \| good
2025-10-28T10:00:00.000Z	13 \| good	1.918 \| good	7.816 \| good	14.443 \| good	0.181 \| good	5.637 \| good	0.169 \| good
2025-10-28T11:00:00.000Z	15 \| good	2.295 \| good	9.582 \| good	15.848 \| good	0.174 \| good	5.448 \| good	0.164 \| good
2025-10-28T12:00:00.000Z	14 \| good	1.39 \| good	5.425 \| good	15.081 \| good	0.168 \| good	5.259 \| good	0.16 \| good
2025-10-28T13:00:00.000Z	10 \| good	1.251 \| good	5.151 \| good	10.75 \| good	0.187 \| good	5.719 \| good	0.164 \| good
2025-10-28T14:00:00.000Z	6 \| good	0.8 \| good	2.921 \| good	6.212 \| good	0.206 \| good	6.178 \| good	0.168 \| good
2025-10-28T15:00:00.000Z	11 \| good	1.883 \| good	7.941 \| good	7.837 \| good	0.225 \| good	6.638 \| good	0.172 \| good
2025-10-28T16:00:00.000Z	15 \| good	2.387 \| good	9.531 \| good	16.131 \| good	0.246 \| good	5.612 \| good	0.168 \| good
2025-10-28T17:00:00.000Z	22 \| good	3.673 \| good	16.007 \| good	21.245 \| good	0.267 \| good	4.586 \| good	0.164 \| good
2025-10-28T18:00:00.000Z	27 \| good	4.512 \| good	19.774 \| good	26.113 \| good	0.289 \| good	3.559 \| good	0.16 \| good
2025-10-28T19:00:00.000Z	28 \| good	2.622 \| good	10.462 \| good	29.858 \| good	0.273 \| good	2.885 \| good	0.149 \| good
2025-10-28T20:00:00.000Z	30 \| good	3.141 \| good	13.384 \| good	31.626 \| good	0.257 \| good	2.211 \| good	0.139 \| good
2025-10-28T21:00:00.000Z	31 \| good	2.161 \| good	8.9 \| good	33.756 \| good	0.241 \| good	1.537 \| good	0.128 \| good
2025-10-28T22:00:00.000Z	35 \| good	3.439 \| good	14.958 \| good	37.918 \| good	0.232 \| good	1.648 \| good	0.128 \| good
2025-10-28T23:00:00.000Z	35 \| good	4.461 \| good	19.286 \| good	38.258 \| good	0.224 \| good	1.76 \| good	0.128 \| good
2025-10-29T00:00:00.000Z	38 \| good	7.286 \| good	32.059 \| good	35.655 \| good	0.216 \| good	1.871 \| good	0.128 \| good
2025-10-29T01:00:00.000Z	49 \| good	8.555 \| good	37.258 \| good	26.687 \| good	0.286 \| good	5.744 \| good	0.166 \| good
2025-10-29T02:00:00.000Z	49 \| good	9.266 \| good	41.204 \| good	15.57 \| good	0.357 \| good	9.616 \| good	0.205 \| good
2025-10-29T03:00:00.000Z	58 \| moderate	13.041 \| fine	58.515 \| fine	20.087 \| good	0.427 \| good	13.489 \| good	0.244 \| good
2025-10-29T04:00:00.000Z	58 \| moderate	13.355 \| fine	60.069 \| fine	16.384 \| good	0.43 \| good	13.009 \| good	0.247 \| good
2025-10-29T05:00:00.000Z	58 \| moderate	12.977 \| fine	58.568 \| fine	16.559 \| good	0.432 \| good	12.529 \| good	0.251 \| good
2025-10-29T06:00:00.000Z	56 \| moderate	12.168 \| fine	54.015 \| good	15.921 \| good	0.435 \| good	12.049 \| good	0.254 \| good
2025-10-29T07:00:00.000Z	52 \| moderate	9.722 \| good	43.392 \| good	16.121 \| good	0.401 \| good	11.914 \| good	0.26 \| good
2025-10-29T08:00:00.000Z	52 \| moderate	9.586 \| good	42.906 \| good	17.771 \| good	0.368 \| good	11.779 \| good	0.265 \| good
2025-10-29T09:00:00.000Z	44 \| good	7.747 \| good	33.976 \| good	14.822 \| good	0.335 \| good	11.644 \| good	0.271 \| good
2025-10-29T10:00:00.000Z	38 \| good	6.668 \| good	29.893 \| good	13.043 \| good	0.306 \| good	11.014 \| good	0.261 \| good
2025-10-29T11:00:00.000Z	27 \| good	5.257 \| good	22.771 \| good	13.105 \| good	0.277 \| good	10.384 \| good	0.251 \| good
2025-10-29T12:00:00.000Z	33 \| good	5.754 \| good	25.002 \| good	13.892 \| good	0.248 \| good	9.753 \| good	0.242 \| good
2025-10-29T13:00:00.000Z	27 \| good	5.382 \| good	23.365 \| good	11.337 \| good	0.265 \| good	9.481 \| good	0.245 \| good
2025-10-29T14:00:00.000Z	22 \| good	3.778 \| good	16.418 \| good	8.038 \| good	0.283 \| good	9.209 \| good	0.248 \| good
2025-10-29T15:00:00.000Z	22 \| good	3.771 \| good	16.117 \| good	8.556 \| good	0.3 \| good	8.937 \| good	0.251 \| good
2025-10-29T16:00:00.000Z	22 \| good	3.642 \| good	15.868 \| good	14.546 \| good	0.304 \| good	7.167 \| good	0.222 \| good
2025-10-29T17:00:00.000Z	22 \| good	4.222 \| good	18.723 \| good	17.185 \| good	0.308 \| good	5.397 \| good	0.194 \| good
2025-10-29T18:00:00.000Z	22 \| good	3.824 \| good	16.58 \| good	22.84 \| good	0.311 \| good	3.627 \| good	0.165 \| good
2025-10-29T19:00:00.000Z	27 \| good	3.583 \| good	15.187 \| good	28.559 \| good	0.289 \| good	2.817 \| good	0.151 \| good
2025-10-29T20:00:00.000Z	30 \| good	4.321 \| good	18.886 \| good	32.202 \| good	0.266 \| good	2.008 \| good	0.138 \| good
2025-10-29T21:00:00.000Z	31 \| good	2.363 \| good	9.616 \| good	34.326 \| good	0.244 \| good	1.198 \| good	0.124 \| good
2025-10-29T22:00:00.000Z	33 \| good	1.616 \| good	6.406 \| good	35.826 \| good	0.233 \| good	1.507 \| good	0.128 \| good
2025-10-29T23:00:00.000Z	34 \| good	3.105 \| good	13.499 \| good	37.039 \| good	0.222 \| good	1.816 \| good	0.131 \| good
2025-10-30T00:00:00.000Z	40 \| good	4.924 \| good	5.198 \| good	43.398 \| good	0.209 \| good	2.125 \| good	0.135 \| good
2025-10-30T01:00:00.000Z	27 \| good	4.884 \| good	21.16 \| good	25.03 \| good	0.261 \| good	5.332 \| good	0.169 \| good

Marysville

Empower business decisions with accurate air quality data

Marysville, California air quality map: Real-time AQI near you

0.22ppm

How accurate is California, USA air quality data?

Air quality measurements for California, 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

Air quality levels in US

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

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Frequently asked questions

How frequently is the air quality data for Marysville, California updated?

Air quality data for Marysville, California is updated on an hourly basis.

When did Marysville, California experience the worst air quality in the last 24 hours?

The worst air quality in Marysville, California was recorded at 12:00:00 on 2025-10-28.

When did Marysville, California have its best air quality in the last 24 hours?

The best air quality in Marysville, California was recorded at 03:00:00 on 2025-10-27.

What is the real-time air quality index for Marysville, California?

The real-time air quality index in Marysville, California is 27, currently categorized as Good.

Which pollutant is found most often in Marysville, California?

The most common pollutant in Marysville, California is O3.

What can I do if the air quality in Marysville, California is poor?

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

What are the current PM_2.5 levels in Marysville, California?

The measured PM_2.5 levels in Marysville, California at present are 0.919 μg/m³.

What are the current PM₁₀ levels at Marysville, California?

The current PM₁₀ levels in Marysville, California are 4.083 μg/m³.

What are the current carbon monoxide (CO) levels at Marysville, California?

The current carbon monoxide (CO) level in Marysville, California is 0.232 ppm.

What are the current sulfur dioxide (SO₂) levels at Marysville, California?

The current sulfur dioxide (SO₂) levels in Marysville, California are 0.401 ppb.

What are the current ozone (O₃) levels at Marysville, California?

The current ozone (O₃) levels at Marysville, California is 29.076 ppm.

What are the current nitrogen dioxide (NO₂) levels at Marysville, California?

The current nitrogen dioxide (NO₂) levels at Marysville, California is 3.001 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-26T03:00:00.000Z	22 \| good	1.609 \| good	9.436 \| good	24.475 \| good	0.477 \| good	3.571 \| good	0.288 \| good
2025-10-26T04:00:00.000Z	23 \| good	1.979 \| good	6.931 \| good	25.257 \| good	0.477 \| good	3.863 \| good	0.27 \| good
2025-10-26T05:00:00.000Z	20 \| good	2.585 \| good	6.838 \| good	22.469 \| good	0.518 \| good	4.403 \| good	0.271 \| good
2025-10-26T06:00:00.000Z	20 \| good	3.396 \| good	9.232 \| good	22.463 \| good	0.499 \| good	4.968 \| good	0.331 \| good
2025-10-26T07:00:00.000Z	22 \| good	3.634 \| good	11.166 \| good	21.349 \| good	0.477 \| good	5.089 \| good	0.331 \| good
2025-10-26T08:00:00.000Z	22 \| good	3.637 \| good	10.326 \| good	20.179 \| good	0.426 \| good	3.923 \| good	0.316 \| good
2025-10-26T09:00:00.000Z	22 \| good	3.671 \| good	10.317 \| good	18.825 \| good	0.458 \| good	3.811 \| good	0.328 \| good
2025-10-26T10:00:00.000Z	22 \| good	4.127 \| good	10.806 \| good	18.991 \| good	0.217 \| good	3.908 \| good	0.149 \| good
2025-10-26T11:00:00.000Z	22 \| good	3.591 \| good	11.117 \| good	18.299 \| good	0.219 \| good	4.253 \| good	0.139 \| good
2025-10-26T12:00:00.000Z	27 \| good	5.499 \| good	11.703 \| good	17.785 \| good	0.331 \| good	4.339 \| good	0.32 \| good
2025-10-26T13:00:00.000Z	38 \| good	7.048 \| good	13.766 \| good	14.245 \| good	0.489 \| good	5.477 \| good	0.309 \| good
2025-10-26T14:00:00.000Z	38 \| good	6.715 \| good	12.199 \| good	14.667 \| good	0.487 \| good	5.497 \| good	0.284 \| good
2025-10-26T15:00:00.000Z	33 \| good	5.985 \| good	10.954 \| good	15.186 \| good	0.465 \| good	5.855 \| good	0.265 \| good
2025-10-26T16:00:00.000Z	27 \| good	4.658 \| good	10.176 \| good	13.933 \| good	0.411 \| good	7.042 \| good	0.293 \| good
2025-10-26T17:00:00.000Z	22 \| good	4.253 \| good	9.327 \| good	13.992 \| good	0.436 \| good	6.715 \| good	0.31 \| good
2025-10-26T18:00:00.000Z	22 \| good	3.834 \| good	10.322 \| good	16.194 \| good	0.517 \| good	5.28 \| good	0.305 \| good
2025-10-26T19:00:00.000Z	22 \| good	4.07 \| good	11.092 \| good	18.064 \| good	0.533 \| good	4.947 \| good	0.225 \| good
2025-10-26T20:00:00.000Z	22 \| good	4.416 \| good	12.368 \| good	18.126 \| good	0.573 \| good	4.577 \| good	0.222 \| good
2025-10-26T21:00:00.000Z	22 \| good	4.106 \| good	14.241 \| good	21.797 \| good	0.556 \| good	3.891 \| good	0.222 \| good
2025-10-26T22:00:00.000Z	23 \| good	3.792 \| good	13.604 \| good	24.602 \| good	0.519 \| good	3.393 \| good	0.249 \| good
2025-10-26T23:00:00.000Z	23 \| good	3.403 \| good	11.19 \| good	24.688 \| good	0.48 \| good	3.509 \| good	0.24 \| good
2025-10-27T00:00:00.000Z	24 \| good	3.071 \| good	9.89 \| good	26.151 \| good	0.641 \| good	2.912 \| good	0.229 \| good
2025-10-27T01:00:00.000Z	24 \| good	2.629 \| good	10.349 \| good	25.85 \| good	0.623 \| good	2.458 \| good	0.229 \| good
2025-10-27T02:00:00.000Z	22 \| good	2.341 \| good	10.614 \| good	24.487 \| good	0.496 \| good	3.049 \| good	0.265 \| good
2025-10-27T03:00:00.000Z	23 \| good	3.103 \| good	8.938 \| good	25.42 \| good	0.515 \| good	3.429 \| good	0.265 \| good
2025-10-27T04:00:00.000Z	23 \| good	2.757 \| good	7.249 \| good	25.148 \| good	0.462 \| good	3.064 \| good	0.249 \| good
2025-10-27T05:00:00.000Z	23 \| good	2.827 \| good	7.549 \| good	25.111 \| good	0.515 \| good	3.228 \| good	0.249 \| good
2025-10-27T06:00:00.000Z	24 \| good	2.03 \| good	7.154 \| good	25.652 \| good	0.478 \| good	2.943 \| good	0.213 \| good
2025-10-27T07:00:00.000Z	24 \| good	1.705 \| good	6.98 \| good	25.713 \| good	0.5 \| good	2.437 \| good	0.213 \| good
2025-10-27T08:00:00.000Z	23 \| good	1.962 \| good	8.227 \| good	25.153 \| good	0.404 \| good	2.441 \| good	0.213 \| good
2025-10-27T09:00:00.000Z	22 \| good	2.792 \| good	8.242 \| good	23.952 \| good	0.535 \| good	3.451 \| good	0.213 \| good
2025-10-27T10:00:00.000Z	20 \| good	2.511 \| good	7.735 \| good	21.855 \| good	0.494 \| good	3.703 \| good	0.213 \| good
2025-10-27T11:00:00.000Z	22 \| good	1.979 \| good	10.039 \| good	23.994 \| good	0.476 \| good	3.193 \| good	0.249 \| good
2025-10-27T12:00:00.000Z	20 \| good	1.838 \| good	10.068 \| good	22.059 \| good	0.439 \| good	3.413 \| good	0.249 \| good
2025-10-27T13:00:00.000Z	19 \| good	2.463 \| good	10.613 \| good	19.956 \| good	0.464 \| good	3.564 \| good	0.249 \| good
2025-10-27T14:00:00.000Z	19 \| good	3.044 \| good	9.802 \| good	20.042 \| good	0.464 \| good	3.677 \| good	0.285 \| good
2025-10-27T15:00:00.000Z	17 \| good	2.967 \| good	7.584 \| good	18.146 \| good	0.558 \| good	3.379 \| good	0.301 \| good
2025-10-27T16:00:00.000Z	18 \| good	2.418 \| good	5.373 \| good	18.591 \| good	0.498 \| good	3.76 \| good	0.317 \| good
2025-10-27T17:00:00.000Z	19 \| good	2.66 \| good	4.963 \| good	20.309 \| good	0.515 \| good	3.176 \| good	0.281 \| good
2025-10-27T18:00:00.000Z	19 \| good	2.264 \| good	10.376 \| good	20.717 \| good	0.402 \| good	2.653 \| good	0.279 \| good
2025-10-27T19:00:00.000Z	19 \| good	0.814 \| good	9.107 \| good	19.977 \| good	0.456 \| good	2.477 \| good	0.262 \| good
2025-10-27T20:00:00.000Z	19 \| good	1.612 \| good	8.028 \| good	21.123 \| good	0.424 \| good	2.509 \| good	0.263 \| good
2025-10-27T21:00:00.000Z	22 \| good	1.542 \| good	7.786 \| good	23.641 \| good	0.497 \| good	2.413 \| good	0.25 \| good
2025-10-27T22:00:00.000Z	24 \| good	1.534 \| good	6.493 \| good	25.582 \| good	0.483 \| good	2.771 \| good	0.248 \| good
2025-10-27T23:00:00.000Z	25 \| good	1.006 \| good	4.507 \| good	27.355 \| good	0.421 \| good	2.707 \| good	0.249 \| good
2025-10-28T00:00:00.000Z	27 \| good	1.026 \| good	4.545 \| good	29.391 \| good	0.401 \| good	3.021 \| good	0.233 \| good
2025-10-28T01:00:00.000Z	29 \| good	1.394 \| good	5.936 \| good	30.534 \| good	0.946 \| good	3.229 \| good	0.233 \| good
2025-10-28T02:00:00.000Z	28 \| good	0.927 \| good	7.73 \| good	29.749 \| good	1.03 \| good	3.916 \| good	0.286 \| good
2025-10-28T02:00:00.000Z	27 \| good	0.393 \| good	6.251 \| good	29.131 \| good	1.03 \| good	3.982 \| good	0.285 \| good
2025-10-28T02:00:00.000Z	28 \| good	1.902 \| good	7.787 \| good	30.414 \| good	0.259 \| good	3.334 \| good	0.144 \| good
2025-10-28T03:00:00.000Z	24 \| good	2.625 \| good	10.752 \| good	25.728 \| good	0.287 \| good	4.417 \| good	0.151 \| good
2025-10-28T04:00:00.000Z	22 \| good	3.809 \| good	16.6 \| good	21.961 \| good	0.288 \| good	5.248 \| good	0.162 \| good
2025-10-28T05:00:00.000Z	17 \| good	1.784 \| good	7.153 \| good	18.406 \| good	0.288 \| good	6.08 \| good	0.173 \| good
2025-10-28T06:00:00.000Z	15 \| good	1.571 \| good	6.183 \| good	15.752 \| good	0.289 \| good	6.912 \| good	0.184 \| good
2025-10-28T07:00:00.000Z	15 \| good	1.091 \| good	4.416 \| good	15.931 \| good	0.255 \| good	6.55 \| good	0.18 \| good
2025-10-28T08:00:00.000Z	15 \| good	1.857 \| good	7.569 \| good	16.27 \| good	0.221 \| good	6.188 \| good	0.177 \| good
2025-10-28T09:00:00.000Z	12 \| good	1.739 \| good	7.248 \| good	13.446 \| good	0.187 \| good	5.827 \| good	0.173 \| good
2025-10-28T10:00:00.000Z	13 \| good	1.918 \| good	7.816 \| good	14.443 \| good	0.181 \| good	5.637 \| good	0.169 \| good
2025-10-28T11:00:00.000Z	15 \| good	2.295 \| good	9.582 \| good	15.848 \| good	0.174 \| good	5.448 \| good	0.164 \| good
2025-10-28T12:00:00.000Z	14 \| good	1.39 \| good	5.425 \| good	15.081 \| good	0.168 \| good	5.259 \| good	0.16 \| good
2025-10-28T13:00:00.000Z	10 \| good	1.251 \| good	5.151 \| good	10.75 \| good	0.187 \| good	5.719 \| good	0.164 \| good
2025-10-28T14:00:00.000Z	6 \| good	0.8 \| good	2.921 \| good	6.212 \| good	0.206 \| good	6.178 \| good	0.168 \| good
2025-10-28T15:00:00.000Z	11 \| good	1.883 \| good	7.941 \| good	7.837 \| good	0.225 \| good	6.638 \| good	0.172 \| good
2025-10-28T16:00:00.000Z	15 \| good	2.387 \| good	9.531 \| good	16.131 \| good	0.246 \| good	5.612 \| good	0.168 \| good
2025-10-28T17:00:00.000Z	22 \| good	3.673 \| good	16.007 \| good	21.245 \| good	0.267 \| good	4.586 \| good	0.164 \| good
2025-10-28T18:00:00.000Z	27 \| good	4.512 \| good	19.774 \| good	26.113 \| good	0.289 \| good	3.559 \| good	0.16 \| good
2025-10-28T19:00:00.000Z	28 \| good	2.622 \| good	10.462 \| good	29.858 \| good	0.273 \| good	2.885 \| good	0.149 \| good
2025-10-28T20:00:00.000Z	30 \| good	3.141 \| good	13.384 \| good	31.626 \| good	0.257 \| good	2.211 \| good	0.139 \| good
2025-10-28T21:00:00.000Z	31 \| good	2.161 \| good	8.9 \| good	33.756 \| good	0.241 \| good	1.537 \| good	0.128 \| good
2025-10-28T22:00:00.000Z	35 \| good	3.439 \| good	14.958 \| good	37.918 \| good	0.232 \| good	1.648 \| good	0.128 \| good
2025-10-28T23:00:00.000Z	35 \| good	4.461 \| good	19.286 \| good	38.258 \| good	0.224 \| good	1.76 \| good	0.128 \| good
2025-10-29T00:00:00.000Z	38 \| good	7.286 \| good	32.059 \| good	35.655 \| good	0.216 \| good	1.871 \| good	0.128 \| good
2025-10-29T01:00:00.000Z	49 \| good	8.555 \| good	37.258 \| good	26.687 \| good	0.286 \| good	5.744 \| good	0.166 \| good
2025-10-29T02:00:00.000Z	49 \| good	9.266 \| good	41.204 \| good	15.57 \| good	0.357 \| good	9.616 \| good	0.205 \| good
2025-10-29T03:00:00.000Z	58 \| moderate	13.041 \| fine	58.515 \| fine	20.087 \| good	0.427 \| good	13.489 \| good	0.244 \| good
2025-10-29T04:00:00.000Z	58 \| moderate	13.355 \| fine	60.069 \| fine	16.384 \| good	0.43 \| good	13.009 \| good	0.247 \| good
2025-10-29T05:00:00.000Z	58 \| moderate	12.977 \| fine	58.568 \| fine	16.559 \| good	0.432 \| good	12.529 \| good	0.251 \| good
2025-10-29T06:00:00.000Z	56 \| moderate	12.168 \| fine	54.015 \| good	15.921 \| good	0.435 \| good	12.049 \| good	0.254 \| good
2025-10-29T07:00:00.000Z	52 \| moderate	9.722 \| good	43.392 \| good	16.121 \| good	0.401 \| good	11.914 \| good	0.26 \| good
2025-10-29T08:00:00.000Z	52 \| moderate	9.586 \| good	42.906 \| good	17.771 \| good	0.368 \| good	11.779 \| good	0.265 \| good
2025-10-29T09:00:00.000Z	44 \| good	7.747 \| good	33.976 \| good	14.822 \| good	0.335 \| good	11.644 \| good	0.271 \| good
2025-10-29T10:00:00.000Z	38 \| good	6.668 \| good	29.893 \| good	13.043 \| good	0.306 \| good	11.014 \| good	0.261 \| good
2025-10-29T11:00:00.000Z	27 \| good	5.257 \| good	22.771 \| good	13.105 \| good	0.277 \| good	10.384 \| good	0.251 \| good
2025-10-29T12:00:00.000Z	33 \| good	5.754 \| good	25.002 \| good	13.892 \| good	0.248 \| good	9.753 \| good	0.242 \| good
2025-10-29T13:00:00.000Z	27 \| good	5.382 \| good	23.365 \| good	11.337 \| good	0.265 \| good	9.481 \| good	0.245 \| good
2025-10-29T14:00:00.000Z	22 \| good	3.778 \| good	16.418 \| good	8.038 \| good	0.283 \| good	9.209 \| good	0.248 \| good
2025-10-29T15:00:00.000Z	22 \| good	3.771 \| good	16.117 \| good	8.556 \| good	0.3 \| good	8.937 \| good	0.251 \| good
2025-10-29T16:00:00.000Z	22 \| good	3.642 \| good	15.868 \| good	14.546 \| good	0.304 \| good	7.167 \| good	0.222 \| good
2025-10-29T17:00:00.000Z	22 \| good	4.222 \| good	18.723 \| good	17.185 \| good	0.308 \| good	5.397 \| good	0.194 \| good
2025-10-29T18:00:00.000Z	22 \| good	3.824 \| good	16.58 \| good	22.84 \| good	0.311 \| good	3.627 \| good	0.165 \| good
2025-10-29T19:00:00.000Z	27 \| good	3.583 \| good	15.187 \| good	28.559 \| good	0.289 \| good	2.817 \| good	0.151 \| good
2025-10-29T20:00:00.000Z	30 \| good	4.321 \| good	18.886 \| good	32.202 \| good	0.266 \| good	2.008 \| good	0.138 \| good
2025-10-29T21:00:00.000Z	31 \| good	2.363 \| good	9.616 \| good	34.326 \| good	0.244 \| good	1.198 \| good	0.124 \| good
2025-10-29T22:00:00.000Z	33 \| good	1.616 \| good	6.406 \| good	35.826 \| good	0.233 \| good	1.507 \| good	0.128 \| good
2025-10-29T23:00:00.000Z	34 \| good	3.105 \| good	13.499 \| good	37.039 \| good	0.222 \| good	1.816 \| good	0.131 \| good
2025-10-30T00:00:00.000Z	40 \| good	4.924 \| good	5.198 \| good	43.398 \| good	0.209 \| good	2.125 \| good	0.135 \| good
2025-10-30T01:00:00.000Z	27 \| good	4.884 \| good	21.16 \| good	25.03 \| good	0.261 \| good	5.332 \| good	0.169 \| good

Real-time air quality index in Marysville, California today

Common air pollutants in Marysville, California

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Marysville, California air quality forecast and history

Empower business decisions with accurate air quality data

Marysville, California air quality map: Real-time AQI near you

Air quality in nearby cities

Yuba City, California

Linda, California

Olivehurst, California

Lincoln, California

Oroville, California

Grass Valley, California

How accurate is California, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Marysville, California updated?

When did Marysville, California experience the worst air quality in the last 24 hours?

When did Marysville, California have its best air quality in the last 24 hours?

What is the real-time air quality index for Marysville, California?

Which pollutant is found most often in Marysville, California?

What can I do if the air quality in Marysville, California is poor?

What are the current PM2.5 levels in Marysville, California?

What are the current PM10 levels at Marysville, California?

What are the current carbon monoxide (CO) levels at Marysville, California?

What are the current sulfur dioxide (SO2) levels at Marysville, California?

What are the current ozone (O3) levels at Marysville, California?

What are the current nitrogen dioxide (NO2) levels at Marysville, California?

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 Marysville, California?

What are the current PM₁₀ levels at Marysville, California?

What are the current sulfur dioxide (SO₂) levels at Marysville, California?

What are the current ozone (O₃) levels at Marysville, California?

What are the current nitrogen dioxide (NO₂) levels at Marysville, California?