What is the sulfur dioxide (SO2) level in Silver Firs, Washington at the moment?

Currently, Silver Firs, Washington has a sulfur dioxide (SO2) concentration of 0.289 ppb.

What is the ozone (O3) level in Silver Firs, Washington at the moment?

The current ozone (O3) level in Silver Firs, Washington at the moment is 26.174 ppm.

What is the nitrogen dioxide (NO2) level in Silver Firs, Washington at the moment?

Nitrogen dioxide (NO2) level in Silver Firs, Washington at the moment is 5.068 ppb.

Live air quality index in Silver Firs, Washington today

Q: What is the PM2.5 level in Silver Firs, Washington at the moment?

PM2.5 levels in Silver Firs, Washington are currently 3.737 μg/m3.

Q: What is the PM10 level in Silver Firs, Washington at the moment?

The PM10 concentration in Silver Firs, Washington is 7.953 μg/m3 at the moment.

Stay updated with real-time air quality in Silver Firs, Washington 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

Silver Firs, Washington

Last updated: ... (Local time)

Major air pollutants in Silver Firs, Washington

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.04 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.43 μg/m³

155

255

425

605+

Ozone (O₃)

27.53 ppb

201

201+

Sulfur Dioxide (SO₂)

0.21 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.35 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Silver Firs, Washington

Get Live Pollen Counts

Silver Firs, Washington

Scroll To Air Quality Map

Track live Silver Firs, Washington air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-23T15:00:00.000Z	38 \| good	7.105 \| good	31.049 \| good	16.285 \| good	0.28 \| good	13.934 \| good	0.246 \| good
2025-10-23T16:00:00.000Z	44 \| good	7.98 \| good	20.413 \| good	14.806 \| good	0.289 \| good	15.989 \| good	0.334 \| good
2025-10-23T17:00:00.000Z	56 \| moderate	11.813 \| good	37.175 \| good	12.173 \| good	0.393 \| good	15.264 \| good	0.285 \| good
2025-10-23T18:00:00.000Z	54 \| moderate	11.497 \| good	40.52 \| good	7.373 \| good	0.445 \| good	13.774 \| good	0.261 \| good
2025-10-23T19:00:00.000Z	49 \| good	8.71 \| good	28.127 \| good	15.403 \| good	0.387 \| good	14.114 \| good	0.212 \| good
2025-10-23T20:00:00.000Z	44 \| good	8.267 \| good	16.79 \| good	25.59 \| good	0.399 \| good	12.253 \| good	0.188 \| good
2025-10-23T21:00:00.000Z	38 \| good	7.187 \| good	26.853 \| good	19.855 \| good	0.212 \| good	12.169 \| good	0.139 \| good
2025-10-23T22:00:00.000Z	33 \| good	5.949 \| good	24.513 \| good	17.586 \| good	0.305 \| good	11.052 \| good	0.125 \| good
2025-10-23T23:00:00.000Z	21 \| good	3.405 \| good	17.48 \| good	23.298 \| good	0.306 \| good	10.531 \| good	0.125 \| good
2025-10-24T00:00:00.000Z	33 \| good	5.786 \| good	17.796 \| good	15.993 \| good	0.272 \| good	9.33 \| good	0.186 \| good
2025-10-24T01:00:00.000Z	33 \| good	5.692 \| good	24.824 \| good	14.919 \| good	0.258 \| good	11.191 \| good	0.213 \| good
2025-10-24T02:00:00.000Z	33 \| good	5.696 \| good	33.302 \| good	14.444 \| good	0.305 \| good	11.311 \| good	0.198 \| good
2025-10-24T03:00:00.000Z	56 \| moderate	11.958 \| good	54.202 \| good	14.491 \| good	0.944 \| good	16.293 \| good	0.259 \| good
2025-10-24T04:00:00.000Z	52 \| moderate	9.52 \| good	41.966 \| good	21.019 \| good	0.293 \| good	10.07 \| good	0.198 \| good
2025-10-24T05:00:00.000Z	52 \| moderate	10.464 \| good	31.016 \| good	21.744 \| good	0.388 \| good	11.234 \| good	0.246 \| good
2025-10-24T06:00:00.000Z	52 \| moderate	9.993 \| good	34.308 \| good	22.595 \| good	0.329 \| good	12.285 \| good	0.246 \| good
2025-10-24T07:00:00.000Z	54 \| moderate	11.205 \| good	27.975 \| good	26.867 \| good	0.329 \| good	13.236 \| good	0.246 \| good
2025-10-24T08:00:00.000Z	54 \| moderate	11.495 \| good	47.222 \| good	27.022 \| good	0.281 \| good	18.824 \| good	0.234 \| good
2025-10-24T09:00:00.000Z	44 \| good	8.043 \| good	29.97 \| good	21.74 \| good	0.246 \| good	13.097 \| good	0.186 \| good
2025-10-24T10:00:00.000Z	49 \| good	8.593 \| good	38.741 \| good	24.354 \| good	0.246 \| good	12.761 \| good	0.186 \| good
2025-10-24T11:00:00.000Z	52 \| moderate	9.885 \| good	34.463 \| good	21.878 \| good	0.28 \| good	11.552 \| good	0.186 \| good
2025-10-24T12:00:00.000Z	52 \| moderate	9.649 \| good	38.075 \| good	24.616 \| good	0.293 \| good	12.678 \| good	0.174 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.405 \| good	34.889 \| good	12.959 \| good	0.246 \| good	12.041 \| good	0.174 \| good
2025-10-24T14:00:00.000Z	33 \| good	5.75 \| good	24.039 \| good	17.682 \| good	0.198 \| good	8.111 \| good	0.186 \| good
2025-10-24T15:00:00.000Z	27 \| good	5.392 \| good	20.495 \| good	18.744 \| good	0.246 \| good	15.43 \| good	0.186 \| good
2025-10-24T16:00:00.000Z	44 \| good	7.661 \| good	27.162 \| good	20.02 \| good	0.232 \| good	15.577 \| good	0.174 \| good
2025-10-24T17:00:00.000Z	27 \| good	4.802 \| good	19.54 \| good	22.417 \| good	0.246 \| good	20.203 \| good	0.174 \| good
2025-10-24T18:00:00.000Z	22 \| good	4.124 \| good	16.643 \| good	19.705 \| good	0.293 \| good	17.357 \| good	0.174 \| good
2025-10-24T19:00:00.000Z	27 \| good	4.628 \| good	20.616 \| good	18.588 \| good	0.28 \| good	12.711 \| good	0.174 \| good
2025-10-24T20:00:00.000Z	27 \| good	4.528 \| good	17.546 \| good	17.486 \| good	0.294 \| good	12.491 \| good	0.162 \| good
2025-10-24T21:00:00.000Z	22 \| good	3.171 \| good	13.899 \| good	23.612 \| good	0.286 \| good	11.748 \| good	0.162 \| good
2025-10-24T22:00:00.000Z	43 \| good	2.709 \| good	46.142 \| good	23.043 \| good	0.326 \| good	11.768 \| good	0.125 \| good
2025-10-24T23:00:00.000Z	37 \| good	3.324 \| good	39.678 \| good	26.928 \| good	0.326 \| good	8.93 \| good	0.174 \| good
2025-10-25T00:00:00.000Z	24 \| good	3.362 \| good	21.297 \| good	26.074 \| good	0.325 \| good	12.653 \| good	0.186 \| good
2025-10-25T01:00:00.000Z	24 \| good	3.125 \| good	24.042 \| good	25.745 \| good	0.326 \| good	11.189 \| good	0.2 \| good
2025-10-25T02:00:00.000Z	24 \| good	4.364 \| good	22.353 \| good	25.893 \| good	0.327 \| good	7.356 \| good	0.138 \| good
2025-10-25T03:00:00.000Z	27 \| good	4 \| good	17.212 \| good	29.161 \| good	0.532 \| good	5.26 \| good	0.128 \| good
2025-10-25T04:00:00.000Z	24 \| good	2.221 \| good	6.878 \| good	26.147 \| good	0.308 \| good	4.767 \| good	0.1 \| good
2025-10-25T05:00:00.000Z	20 \| good	2.616 \| good	10.61 \| good	22.13 \| good	0.308 \| good	6.697 \| good	0.113 \| good
2025-10-25T06:00:00.000Z	22 \| good	4.062 \| good	15.992 \| good	22.624 \| good	0.326 \| good	5.778 \| good	0.112 \| good
2025-10-25T07:00:00.000Z	25 \| good	1.974 \| good	5.648 \| good	27.282 \| good	0.326 \| good	5.444 \| good	0.125 \| good
2025-10-25T08:00:00.000Z	31 \| good	1.17 \| good	5.746 \| good	32.777 \| good	0.288 \| good	8.872 \| good	0.113 \| good
2025-10-25T09:00:00.000Z	29 \| good	2.778 \| good	4.684 \| good	30.958 \| good	0.268 \| good	7.064 \| good	0.113 \| good
2025-10-25T10:00:00.000Z	24 \| good	3.737 \| good	7.953 \| good	26.174 \| good	0.289 \| good	5.068 \| good	0.113 \| good
2025-10-25T11:00:00.000Z	23 \| good	1.726 \| good	6.692 \| good	25.338 \| good	0.289 \| good	5.682 \| good	0.113 \| good
2025-10-25T12:00:00.000Z	23 \| good	2.031 \| good	13.81 \| good	25.367 \| good	0.288 \| good	8.715 \| good	0.113 \| good
2025-10-25T13:00:00.000Z	26 \| good	2.042 \| good	7.428 \| good	27.532 \| good	0.213 \| good	7.353 \| good	0.113 \| good
2025-10-25T14:00:00.000Z	26 \| good	2.042 \| good	7.428 \| good	27.532 \| good	0.213 \| good	7.353 \| good	0.113 \| good
2025-10-25T12:00:00.000Z	28 \| good	2.086 \| good	8.358 \| good	30.239 \| good	0.562 \| good	2.205 \| good	0.108 \| good
2025-10-25T13:00:00.000Z	29 \| good	2.108 \| good	8.644 \| good	30.57 \| good	0.524 \| good	2.528 \| good	0.111 \| good
2025-10-25T14:00:00.000Z	29 \| good	1.999 \| good	8.008 \| good	31.331 \| good	0.485 \| good	2.851 \| good	0.115 \| good
2025-10-25T15:00:00.000Z	28 \| good	2.405 \| good	9.633 \| good	29.959 \| good	0.447 \| good	3.174 \| good	0.118 \| good
2025-10-25T16:00:00.000Z	29 \| good	1.921 \| good	7.753 \| good	30.973 \| good	0.413 \| good	2.909 \| good	0.119 \| good
2025-10-25T17:00:00.000Z	28 \| good	2.167 \| good	8.835 \| good	29.858 \| good	0.378 \| good	2.645 \| good	0.12 \| good
2025-10-25T18:00:00.000Z	27 \| good	2.324 \| good	9.217 \| good	28.971 \| good	0.344 \| good	2.38 \| good	0.12 \| good
2025-10-25T19:00:00.000Z	30 \| good	1.635 \| good	6.505 \| good	31.606 \| good	0.313 \| good	2.079 \| good	0.119 \| good
2025-10-25T20:00:00.000Z	30 \| good	1.845 \| good	7.856 \| good	32.118 \| good	0.282 \| good	1.779 \| good	0.118 \| good
2025-10-25T21:00:00.000Z	31 \| good	1.925 \| good	7.829 \| good	33.933 \| good	0.251 \| good	1.478 \| good	0.116 \| good
2025-10-25T22:00:00.000Z	33 \| good	1.756 \| good	7.41 \| good	36.252 \| good	0.249 \| good	1.701 \| good	0.116 \| good
2025-10-25T23:00:00.000Z	32 \| good	1.647 \| good	6.55 \| good	34.537 \| good	0.247 \| good	1.923 \| good	0.116 \| good
2025-10-26T00:00:00.000Z	31 \| good	1.797 \| good	7.156 \| good	33.953 \| good	0.245 \| good	2.146 \| good	0.116 \| good
2025-10-26T01:00:00.000Z	31 \| good	2.333 \| good	9.559 \| good	32.845 \| good	0.369 \| good	2.333 \| good	0.116 \| good
2025-10-26T02:00:00.000Z	29 \| good	3.319 \| good	14.015 \| good	30.972 \| good	0.492 \| good	2.521 \| good	0.116 \| good
2025-10-26T03:00:00.000Z	27 \| good	3.916 \| good	17.11 \| good	29.143 \| good	0.616 \| good	2.709 \| good	0.116 \| good
2025-10-26T04:00:00.000Z	31 \| good	2.698 \| good	10.882 \| good	32.725 \| good	0.617 \| good	2.649 \| good	0.114 \| good
2025-10-26T05:00:00.000Z	32 \| good	2.255 \| good	9.24 \| good	34.672 \| good	0.618 \| good	2.588 \| good	0.112 \| good
2025-10-26T06:00:00.000Z	31 \| good	2.243 \| good	9.088 \| good	34.375 \| good	0.619 \| good	2.528 \| good	0.11 \| good
2025-10-26T07:00:00.000Z	31 \| good	2.318 \| good	9.648 \| good	33.661 \| good	0.579 \| good	2.306 \| good	0.109 \| good
2025-10-26T08:00:00.000Z	33 \| good	1.922 \| good	8.005 \| good	35.629 \| good	0.539 \| good	2.085 \| good	0.108 \| good
2025-10-26T09:00:00.000Z	35 \| good	1.587 \| good	6.406 \| good	37.868 \| good	0.499 \| good	1.864 \| good	0.107 \| good
2025-10-26T10:00:00.000Z	34 \| good	1.738 \| good	7.429 \| good	37.087 \| good	0.491 \| good	1.79 \| good	0.106 \| good
2025-10-26T11:00:00.000Z	33 \| good	1.929 \| good	7.744 \| good	36.211 \| good	0.483 \| good	1.716 \| good	0.105 \| good
2025-10-26T12:00:00.000Z	33 \| good	1.941 \| good	8.118 \| good	35.674 \| good	0.475 \| good	1.642 \| good	0.105 \| good
2025-10-26T13:00:00.000Z	33 \| good	1.988 \| good	8.054 \| good	35.553 \| good	0.488 \| good	2.392 \| good	0.111 \| good
2025-10-26T14:00:00.000Z	32 \| good	2.129 \| good	8.579 \| good	34.932 \| good	0.501 \| good	3.143 \| good	0.117 \| good
2025-10-26T15:00:00.000Z	31 \| good	2.65 \| good	10.949 \| good	32.971 \| good	0.514 \| good	3.894 \| good	0.123 \| good
2025-10-26T16:00:00.000Z	29 \| good	2.877 \| good	12.456 \| good	31.418 \| good	0.514 \| good	4.026 \| good	0.126 \| good
2025-10-26T17:00:00.000Z	30 \| good	2.778 \| good	11.077 \| good	31.996 \| good	0.514 \| good	4.158 \| good	0.13 \| good
2025-10-26T18:00:00.000Z	31 \| good	2.692 \| good	11.016 \| good	33.193 \| good	0.514 \| good	4.29 \| good	0.133 \| good
2025-10-26T19:00:00.000Z	32 \| good	2.595 \| good	10.821 \| good	35.189 \| good	0.507 \| good	3.94 \| good	0.13 \| good
2025-10-26T20:00:00.000Z	33 \| good	2.822 \| good	11.562 \| good	35.808 \| good	0.5 \| good	3.59 \| good	0.127 \| good
2025-10-26T21:00:00.000Z	32 \| good	3.187 \| good	13.903 \| good	35.327 \| good	0.493 \| good	3.24 \| good	0.124 \| good
2025-10-26T22:00:00.000Z	31 \| good	3.243 \| good	13.967 \| good	34.006 \| good	0.505 \| good	3.993 \| good	0.129 \| good
2025-10-26T23:00:00.000Z	31 \| good	2.97 \| good	13.141 \| good	32.578 \| good	0.518 \| good	4.747 \| good	0.134 \| good
2025-10-27T00:00:00.000Z	29 \| good	3.418 \| good	14.681 \| good	31.209 \| good	0.53 \| good	5.5 \| good	0.139 \| good
2025-10-27T01:00:00.000Z	30 \| good	3.298 \| good	14.449 \| good	31.67 \| good	0.605 \| good	6.07 \| good	0.143 \| good
2025-10-27T02:00:00.000Z	28 \| good	3.38 \| good	14.524 \| good	30.046 \| good	0.68 \| good	6.64 \| good	0.147 \| good
2025-10-27T03:00:00.000Z	28 \| good	3.36 \| good	14.747 \| good	30.338 \| good	0.755 \| good	7.21 \| good	0.152 \| good
2025-10-27T04:00:00.000Z	30 \| good	3.168 \| good	13.728 \| good	32.437 \| good	0.745 \| good	6.651 \| good	0.147 \| good
2025-10-27T05:00:00.000Z	30 \| good	3.508 \| good	15.19 \| good	32.228 \| good	0.734 \| good	6.093 \| good	0.142 \| good
2025-10-27T06:00:00.000Z	28 \| good	5.029 \| good	6.086 \| good	30.401 \| good	0.724 \| good	5.542 \| good	0.138 \| good
2025-10-27T07:00:00.000Z	28 \| good	4.265 \| good	18.735 \| good	30.047 \| good	0.7 \| good	4.685 \| good	0.131 \| good
2025-10-27T08:00:00.000Z	27 \| good	4.437 \| good	19.177 \| good	29.085 \| good	0.676 \| good	3.835 \| good	0.125 \| good
2025-10-27T09:00:00.000Z	27 \| good	4.811 \| good	20.823 \| good	27.712 \| good	0.652 \| good	2.986 \| good	0.118 \| good
2025-10-27T10:00:00.000Z	27 \| good	5.262 \| good	22.723 \| good	26.418 \| good	0.629 \| good	2.659 \| good	0.116 \| good
2025-10-27T11:00:00.000Z	33 \| good	5.663 \| good	24.904 \| good	24.984 \| good	0.607 \| good	2.332 \| good	0.115 \| good

Silver Firs

Get reliable air quality data to drive your business

Silver Firs, Washington air quality map: Stay updated on AQI near you

0.11ppm

How accurate is Washington, USA air quality data?

Air quality and pollutant data for Washington, 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

Air quality levels in US

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

View Polluted Cities

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

View Clean Cities

Frequently asked questions

How often is air quality information updated for Silver Firs, Washington?

The air quality information for Silver Firs, Washington is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Silver Firs, Washington at its worst?

In the past 24 hours, the air quality in Silver Firs, Washington was at its worst at 12:00:00 on 2025-10-24.

When did Silver Firs, Washington experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Silver Firs, Washington was observed at 05:00:00 on 2025-10-25.

What is the AQI in Silver Firs, Washington right now?

As of now, the AQI in Silver Firs, Washington is 24, indicating Good conditions.

What is the most common type of pollution in Silver Firs, Washington?

Silver Firs, Washington air has the highest levels of O3.

What should I do in case of poor air quality in Silver Firs, Washington?

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

What is the PM_2.5 level in Silver Firs, Washington at the moment?

PM_2.5 levels in Silver Firs, Washington are currently 3.737 μg/m³.

What is the PM₁₀ level in Silver Firs, Washington at the moment?

The PM₁₀ concentration in Silver Firs, Washington is 7.953 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Silver Firs, Washington at the moment?

The current carbon monoxide (CO) concentration in Silver Firs, Washington is 0.113 ppm.

What is the sulfur dioxide (SO₂) level in Silver Firs, Washington at the moment?

Currently, Silver Firs, Washington has a sulfur dioxide (SO₂) concentration of 0.289 ppb.

What is the ozone (O₃) level in Silver Firs, Washington at the moment?

The current ozone (O₃) level in Silver Firs, Washington at the moment is 26.174 ppm.

What is the nitrogen dioxide (NO₂) level in Silver Firs, Washington at the moment?

Nitrogen dioxide (NO₂) level in Silver Firs, Washington at the moment is 5.068 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-23T15:00:00.000Z	38 \| good	7.105 \| good	31.049 \| good	16.285 \| good	0.28 \| good	13.934 \| good	0.246 \| good
2025-10-23T16:00:00.000Z	44 \| good	7.98 \| good	20.413 \| good	14.806 \| good	0.289 \| good	15.989 \| good	0.334 \| good
2025-10-23T17:00:00.000Z	56 \| moderate	11.813 \| good	37.175 \| good	12.173 \| good	0.393 \| good	15.264 \| good	0.285 \| good
2025-10-23T18:00:00.000Z	54 \| moderate	11.497 \| good	40.52 \| good	7.373 \| good	0.445 \| good	13.774 \| good	0.261 \| good
2025-10-23T19:00:00.000Z	49 \| good	8.71 \| good	28.127 \| good	15.403 \| good	0.387 \| good	14.114 \| good	0.212 \| good
2025-10-23T20:00:00.000Z	44 \| good	8.267 \| good	16.79 \| good	25.59 \| good	0.399 \| good	12.253 \| good	0.188 \| good
2025-10-23T21:00:00.000Z	38 \| good	7.187 \| good	26.853 \| good	19.855 \| good	0.212 \| good	12.169 \| good	0.139 \| good
2025-10-23T22:00:00.000Z	33 \| good	5.949 \| good	24.513 \| good	17.586 \| good	0.305 \| good	11.052 \| good	0.125 \| good
2025-10-23T23:00:00.000Z	21 \| good	3.405 \| good	17.48 \| good	23.298 \| good	0.306 \| good	10.531 \| good	0.125 \| good
2025-10-24T00:00:00.000Z	33 \| good	5.786 \| good	17.796 \| good	15.993 \| good	0.272 \| good	9.33 \| good	0.186 \| good
2025-10-24T01:00:00.000Z	33 \| good	5.692 \| good	24.824 \| good	14.919 \| good	0.258 \| good	11.191 \| good	0.213 \| good
2025-10-24T02:00:00.000Z	33 \| good	5.696 \| good	33.302 \| good	14.444 \| good	0.305 \| good	11.311 \| good	0.198 \| good
2025-10-24T03:00:00.000Z	56 \| moderate	11.958 \| good	54.202 \| good	14.491 \| good	0.944 \| good	16.293 \| good	0.259 \| good
2025-10-24T04:00:00.000Z	52 \| moderate	9.52 \| good	41.966 \| good	21.019 \| good	0.293 \| good	10.07 \| good	0.198 \| good
2025-10-24T05:00:00.000Z	52 \| moderate	10.464 \| good	31.016 \| good	21.744 \| good	0.388 \| good	11.234 \| good	0.246 \| good
2025-10-24T06:00:00.000Z	52 \| moderate	9.993 \| good	34.308 \| good	22.595 \| good	0.329 \| good	12.285 \| good	0.246 \| good
2025-10-24T07:00:00.000Z	54 \| moderate	11.205 \| good	27.975 \| good	26.867 \| good	0.329 \| good	13.236 \| good	0.246 \| good
2025-10-24T08:00:00.000Z	54 \| moderate	11.495 \| good	47.222 \| good	27.022 \| good	0.281 \| good	18.824 \| good	0.234 \| good
2025-10-24T09:00:00.000Z	44 \| good	8.043 \| good	29.97 \| good	21.74 \| good	0.246 \| good	13.097 \| good	0.186 \| good
2025-10-24T10:00:00.000Z	49 \| good	8.593 \| good	38.741 \| good	24.354 \| good	0.246 \| good	12.761 \| good	0.186 \| good
2025-10-24T11:00:00.000Z	52 \| moderate	9.885 \| good	34.463 \| good	21.878 \| good	0.28 \| good	11.552 \| good	0.186 \| good
2025-10-24T12:00:00.000Z	52 \| moderate	9.649 \| good	38.075 \| good	24.616 \| good	0.293 \| good	12.678 \| good	0.174 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.405 \| good	34.889 \| good	12.959 \| good	0.246 \| good	12.041 \| good	0.174 \| good
2025-10-24T14:00:00.000Z	33 \| good	5.75 \| good	24.039 \| good	17.682 \| good	0.198 \| good	8.111 \| good	0.186 \| good
2025-10-24T15:00:00.000Z	27 \| good	5.392 \| good	20.495 \| good	18.744 \| good	0.246 \| good	15.43 \| good	0.186 \| good
2025-10-24T16:00:00.000Z	44 \| good	7.661 \| good	27.162 \| good	20.02 \| good	0.232 \| good	15.577 \| good	0.174 \| good
2025-10-24T17:00:00.000Z	27 \| good	4.802 \| good	19.54 \| good	22.417 \| good	0.246 \| good	20.203 \| good	0.174 \| good
2025-10-24T18:00:00.000Z	22 \| good	4.124 \| good	16.643 \| good	19.705 \| good	0.293 \| good	17.357 \| good	0.174 \| good
2025-10-24T19:00:00.000Z	27 \| good	4.628 \| good	20.616 \| good	18.588 \| good	0.28 \| good	12.711 \| good	0.174 \| good
2025-10-24T20:00:00.000Z	27 \| good	4.528 \| good	17.546 \| good	17.486 \| good	0.294 \| good	12.491 \| good	0.162 \| good
2025-10-24T21:00:00.000Z	22 \| good	3.171 \| good	13.899 \| good	23.612 \| good	0.286 \| good	11.748 \| good	0.162 \| good
2025-10-24T22:00:00.000Z	43 \| good	2.709 \| good	46.142 \| good	23.043 \| good	0.326 \| good	11.768 \| good	0.125 \| good
2025-10-24T23:00:00.000Z	37 \| good	3.324 \| good	39.678 \| good	26.928 \| good	0.326 \| good	8.93 \| good	0.174 \| good
2025-10-25T00:00:00.000Z	24 \| good	3.362 \| good	21.297 \| good	26.074 \| good	0.325 \| good	12.653 \| good	0.186 \| good
2025-10-25T01:00:00.000Z	24 \| good	3.125 \| good	24.042 \| good	25.745 \| good	0.326 \| good	11.189 \| good	0.2 \| good
2025-10-25T02:00:00.000Z	24 \| good	4.364 \| good	22.353 \| good	25.893 \| good	0.327 \| good	7.356 \| good	0.138 \| good
2025-10-25T03:00:00.000Z	27 \| good	4 \| good	17.212 \| good	29.161 \| good	0.532 \| good	5.26 \| good	0.128 \| good
2025-10-25T04:00:00.000Z	24 \| good	2.221 \| good	6.878 \| good	26.147 \| good	0.308 \| good	4.767 \| good	0.1 \| good
2025-10-25T05:00:00.000Z	20 \| good	2.616 \| good	10.61 \| good	22.13 \| good	0.308 \| good	6.697 \| good	0.113 \| good
2025-10-25T06:00:00.000Z	22 \| good	4.062 \| good	15.992 \| good	22.624 \| good	0.326 \| good	5.778 \| good	0.112 \| good
2025-10-25T07:00:00.000Z	25 \| good	1.974 \| good	5.648 \| good	27.282 \| good	0.326 \| good	5.444 \| good	0.125 \| good
2025-10-25T08:00:00.000Z	31 \| good	1.17 \| good	5.746 \| good	32.777 \| good	0.288 \| good	8.872 \| good	0.113 \| good
2025-10-25T09:00:00.000Z	29 \| good	2.778 \| good	4.684 \| good	30.958 \| good	0.268 \| good	7.064 \| good	0.113 \| good
2025-10-25T10:00:00.000Z	24 \| good	3.737 \| good	7.953 \| good	26.174 \| good	0.289 \| good	5.068 \| good	0.113 \| good
2025-10-25T11:00:00.000Z	23 \| good	1.726 \| good	6.692 \| good	25.338 \| good	0.289 \| good	5.682 \| good	0.113 \| good
2025-10-25T12:00:00.000Z	23 \| good	2.031 \| good	13.81 \| good	25.367 \| good	0.288 \| good	8.715 \| good	0.113 \| good
2025-10-25T13:00:00.000Z	26 \| good	2.042 \| good	7.428 \| good	27.532 \| good	0.213 \| good	7.353 \| good	0.113 \| good
2025-10-25T14:00:00.000Z	26 \| good	2.042 \| good	7.428 \| good	27.532 \| good	0.213 \| good	7.353 \| good	0.113 \| good
2025-10-25T12:00:00.000Z	28 \| good	2.086 \| good	8.358 \| good	30.239 \| good	0.562 \| good	2.205 \| good	0.108 \| good
2025-10-25T13:00:00.000Z	29 \| good	2.108 \| good	8.644 \| good	30.57 \| good	0.524 \| good	2.528 \| good	0.111 \| good
2025-10-25T14:00:00.000Z	29 \| good	1.999 \| good	8.008 \| good	31.331 \| good	0.485 \| good	2.851 \| good	0.115 \| good
2025-10-25T15:00:00.000Z	28 \| good	2.405 \| good	9.633 \| good	29.959 \| good	0.447 \| good	3.174 \| good	0.118 \| good
2025-10-25T16:00:00.000Z	29 \| good	1.921 \| good	7.753 \| good	30.973 \| good	0.413 \| good	2.909 \| good	0.119 \| good
2025-10-25T17:00:00.000Z	28 \| good	2.167 \| good	8.835 \| good	29.858 \| good	0.378 \| good	2.645 \| good	0.12 \| good
2025-10-25T18:00:00.000Z	27 \| good	2.324 \| good	9.217 \| good	28.971 \| good	0.344 \| good	2.38 \| good	0.12 \| good
2025-10-25T19:00:00.000Z	30 \| good	1.635 \| good	6.505 \| good	31.606 \| good	0.313 \| good	2.079 \| good	0.119 \| good
2025-10-25T20:00:00.000Z	30 \| good	1.845 \| good	7.856 \| good	32.118 \| good	0.282 \| good	1.779 \| good	0.118 \| good
2025-10-25T21:00:00.000Z	31 \| good	1.925 \| good	7.829 \| good	33.933 \| good	0.251 \| good	1.478 \| good	0.116 \| good
2025-10-25T22:00:00.000Z	33 \| good	1.756 \| good	7.41 \| good	36.252 \| good	0.249 \| good	1.701 \| good	0.116 \| good
2025-10-25T23:00:00.000Z	32 \| good	1.647 \| good	6.55 \| good	34.537 \| good	0.247 \| good	1.923 \| good	0.116 \| good
2025-10-26T00:00:00.000Z	31 \| good	1.797 \| good	7.156 \| good	33.953 \| good	0.245 \| good	2.146 \| good	0.116 \| good
2025-10-26T01:00:00.000Z	31 \| good	2.333 \| good	9.559 \| good	32.845 \| good	0.369 \| good	2.333 \| good	0.116 \| good
2025-10-26T02:00:00.000Z	29 \| good	3.319 \| good	14.015 \| good	30.972 \| good	0.492 \| good	2.521 \| good	0.116 \| good
2025-10-26T03:00:00.000Z	27 \| good	3.916 \| good	17.11 \| good	29.143 \| good	0.616 \| good	2.709 \| good	0.116 \| good
2025-10-26T04:00:00.000Z	31 \| good	2.698 \| good	10.882 \| good	32.725 \| good	0.617 \| good	2.649 \| good	0.114 \| good
2025-10-26T05:00:00.000Z	32 \| good	2.255 \| good	9.24 \| good	34.672 \| good	0.618 \| good	2.588 \| good	0.112 \| good
2025-10-26T06:00:00.000Z	31 \| good	2.243 \| good	9.088 \| good	34.375 \| good	0.619 \| good	2.528 \| good	0.11 \| good
2025-10-26T07:00:00.000Z	31 \| good	2.318 \| good	9.648 \| good	33.661 \| good	0.579 \| good	2.306 \| good	0.109 \| good
2025-10-26T08:00:00.000Z	33 \| good	1.922 \| good	8.005 \| good	35.629 \| good	0.539 \| good	2.085 \| good	0.108 \| good
2025-10-26T09:00:00.000Z	35 \| good	1.587 \| good	6.406 \| good	37.868 \| good	0.499 \| good	1.864 \| good	0.107 \| good
2025-10-26T10:00:00.000Z	34 \| good	1.738 \| good	7.429 \| good	37.087 \| good	0.491 \| good	1.79 \| good	0.106 \| good
2025-10-26T11:00:00.000Z	33 \| good	1.929 \| good	7.744 \| good	36.211 \| good	0.483 \| good	1.716 \| good	0.105 \| good
2025-10-26T12:00:00.000Z	33 \| good	1.941 \| good	8.118 \| good	35.674 \| good	0.475 \| good	1.642 \| good	0.105 \| good
2025-10-26T13:00:00.000Z	33 \| good	1.988 \| good	8.054 \| good	35.553 \| good	0.488 \| good	2.392 \| good	0.111 \| good
2025-10-26T14:00:00.000Z	32 \| good	2.129 \| good	8.579 \| good	34.932 \| good	0.501 \| good	3.143 \| good	0.117 \| good
2025-10-26T15:00:00.000Z	31 \| good	2.65 \| good	10.949 \| good	32.971 \| good	0.514 \| good	3.894 \| good	0.123 \| good
2025-10-26T16:00:00.000Z	29 \| good	2.877 \| good	12.456 \| good	31.418 \| good	0.514 \| good	4.026 \| good	0.126 \| good
2025-10-26T17:00:00.000Z	30 \| good	2.778 \| good	11.077 \| good	31.996 \| good	0.514 \| good	4.158 \| good	0.13 \| good
2025-10-26T18:00:00.000Z	31 \| good	2.692 \| good	11.016 \| good	33.193 \| good	0.514 \| good	4.29 \| good	0.133 \| good
2025-10-26T19:00:00.000Z	32 \| good	2.595 \| good	10.821 \| good	35.189 \| good	0.507 \| good	3.94 \| good	0.13 \| good
2025-10-26T20:00:00.000Z	33 \| good	2.822 \| good	11.562 \| good	35.808 \| good	0.5 \| good	3.59 \| good	0.127 \| good
2025-10-26T21:00:00.000Z	32 \| good	3.187 \| good	13.903 \| good	35.327 \| good	0.493 \| good	3.24 \| good	0.124 \| good
2025-10-26T22:00:00.000Z	31 \| good	3.243 \| good	13.967 \| good	34.006 \| good	0.505 \| good	3.993 \| good	0.129 \| good
2025-10-26T23:00:00.000Z	31 \| good	2.97 \| good	13.141 \| good	32.578 \| good	0.518 \| good	4.747 \| good	0.134 \| good
2025-10-27T00:00:00.000Z	29 \| good	3.418 \| good	14.681 \| good	31.209 \| good	0.53 \| good	5.5 \| good	0.139 \| good
2025-10-27T01:00:00.000Z	30 \| good	3.298 \| good	14.449 \| good	31.67 \| good	0.605 \| good	6.07 \| good	0.143 \| good
2025-10-27T02:00:00.000Z	28 \| good	3.38 \| good	14.524 \| good	30.046 \| good	0.68 \| good	6.64 \| good	0.147 \| good
2025-10-27T03:00:00.000Z	28 \| good	3.36 \| good	14.747 \| good	30.338 \| good	0.755 \| good	7.21 \| good	0.152 \| good
2025-10-27T04:00:00.000Z	30 \| good	3.168 \| good	13.728 \| good	32.437 \| good	0.745 \| good	6.651 \| good	0.147 \| good
2025-10-27T05:00:00.000Z	30 \| good	3.508 \| good	15.19 \| good	32.228 \| good	0.734 \| good	6.093 \| good	0.142 \| good
2025-10-27T06:00:00.000Z	28 \| good	5.029 \| good	6.086 \| good	30.401 \| good	0.724 \| good	5.542 \| good	0.138 \| good
2025-10-27T07:00:00.000Z	28 \| good	4.265 \| good	18.735 \| good	30.047 \| good	0.7 \| good	4.685 \| good	0.131 \| good
2025-10-27T08:00:00.000Z	27 \| good	4.437 \| good	19.177 \| good	29.085 \| good	0.676 \| good	3.835 \| good	0.125 \| good
2025-10-27T09:00:00.000Z	27 \| good	4.811 \| good	20.823 \| good	27.712 \| good	0.652 \| good	2.986 \| good	0.118 \| good
2025-10-27T10:00:00.000Z	27 \| good	5.262 \| good	22.723 \| good	26.418 \| good	0.629 \| good	2.659 \| good	0.116 \| good
2025-10-27T11:00:00.000Z	33 \| good	5.663 \| good	24.904 \| good	24.984 \| good	0.607 \| good	2.332 \| good	0.115 \| good

Live air quality index in Silver Firs, Washington today

Major air pollutants in Silver Firs, Washington

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Silver Firs, Washington air quality forecast and history

Get reliable air quality data to drive your business

Silver Firs, Washington air quality map: Stay updated on AQI near you

Air quality in nearby cities

Mill Creek East, Washington

Mill Creek, Washington

Eastmont, Washington

Snohomish, Washington

Maltby, Washington

Martha Lake, Washington

How accurate is Washington, USA air quality data?

Air quality levels in US

Frequently asked questions

How often is air quality information updated for Silver Firs, Washington?

What time in the last 24 hours was the air quality in Silver Firs, Washington at its worst?

When did Silver Firs, Washington experience the best air quality in the last 24 hours?

What is the AQI in Silver Firs, Washington right now?

What is the most common type of pollution in Silver Firs, Washington?

What should I do in case of poor air quality in Silver Firs, Washington?

What is the PM2.5 level in Silver Firs, Washington at the moment?

What is the PM10 level in Silver Firs, Washington at the moment?

What is the carbon monoxide (CO) level in Silver Firs, Washington at the moment?

What is the sulfur dioxide (SO2) level in Silver Firs, Washington at the moment?

What is the ozone (O3) level in Silver Firs, Washington at the moment?

What is the nitrogen dioxide (NO2) level in Silver Firs, Washington at the moment?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 level in Silver Firs, Washington at the moment?

What is the PM₁₀ level in Silver Firs, Washington at the moment?

What is the sulfur dioxide (SO₂) level in Silver Firs, Washington at the moment?

What is the ozone (O₃) level in Silver Firs, Washington at the moment?

What is the nitrogen dioxide (NO₂) level in Silver Firs, Washington at the moment?