What is the current concentration of PM10 in Lakeland North, Washington?

The current PM10 concentration at Lakeland North, Washington is 29.948 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Lakeland North, Washington?

The current sulfur dioxide (SO2) concentration at Lakeland North, Washington is 0.332 ppb.

What is the current concentration of ozone (O3) in Lakeland North, Washington?

The current ozone (O3) concentration at Lakeland North, Washington is 17.844 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Lakeland North, Washington?

The current nitrogen dioxide (NO2) concentration at Lakeland North, Washington is 16.195 ppb.

Lakeland North, Washington live air quality index now

Q: What is the current concentration of PM2.5 in Lakeland North, Washington?

The current PM2.5 concentration at Lakeland North, Washington is 6.795 μg/m3.

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

Lakeland North, Washington

Last updated: ... (Local time)

Major air pollutants in Lakeland North, Washington

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.58 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

6.57 μg/m³

155

255

425

605+

Ozone (O₃)

30.44 ppb

201

201+

Sulfur Dioxide (SO₂)

0.22 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.16 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Lakeland North, Washington

Get Live Pollen Counts

Lakeland North, Washington

Scroll To Air Quality Map

Track live Lakeland North, Washington air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-24T01:00:00.000Z	38 \| good	6.745 \| good	29.746 \| good	15.687 \| good	0.315 \| good	14.142 \| good	0.2 \| good
2025-10-24T02:00:00.000Z	38 \| good	6.84 \| good	30.699 \| good	17.494 \| good	0.315 \| good	13.736 \| good	0.19 \| good
2025-10-24T03:00:00.000Z	56 \| moderate	12.053 \| good	54.041 \| good	6.922 \| good	0.774 \| good	16.214 \| good	0.278 \| good
2025-10-24T04:00:00.000Z	49 \| good	9.165 \| good	41.355 \| good	14.983 \| good	0.306 \| good	14.7 \| good	0.21 \| good
2025-10-24T05:00:00.000Z	49 \| good	8.922 \| good	40.596 \| good	13.542 \| good	0.421 \| good	15.736 \| good	0.28 \| good
2025-10-24T06:00:00.000Z	49 \| good	9.049 \| good	40.741 \| good	16.349 \| good	0.407 \| good	19.495 \| good	0.28 \| good
2025-10-24T07:00:00.000Z	49 \| good	9.23 \| good	41.128 \| good	24.117 \| good	0.427 \| good	18.34 \| good	0.29 \| good
2025-10-24T08:00:00.000Z	52 \| moderate	9.629 \| good	43.114 \| good	21.849 \| good	0.371 \| good	16.483 \| good	0.279 \| good
2025-10-24T09:00:00.000Z	56 \| moderate	11.809 \| good	53.55 \| good	19.329 \| good	0.324 \| good	12.345 \| good	0.199 \| good
2025-10-24T10:00:00.000Z	54 \| moderate	10.601 \| good	47.009 \| good	21.863 \| good	0.324 \| good	12.392 \| good	0.199 \| good
2025-10-24T11:00:00.000Z	52 \| moderate	9.664 \| good	43.276 \| good	17.305 \| good	0.372 \| good	13.445 \| good	0.19 \| good
2025-10-24T12:00:00.000Z	49 \| good	9.288 \| good	41.401 \| good	24.57 \| good	0.393 \| good	14.772 \| good	0.172 \| good
2025-10-24T13:00:00.000Z	49 \| good	8.664 \| good	38.31 \| good	11.795 \| good	0.334 \| good	13.429 \| good	0.172 \| good
2025-10-24T14:00:00.000Z	44 \| good	7.75 \| good	34.223 \| good	15.431 \| good	0.274 \| good	8.675 \| good	0.181 \| good
2025-10-24T15:00:00.000Z	44 \| good	7.505 \| good	33.033 \| good	20.534 \| good	0.334 \| good	15.739 \| good	0.181 \| good
2025-10-24T16:00:00.000Z	38 \| good	7.056 \| good	31.782 \| good	20.198 \| good	0.324 \| good	17.696 \| good	0.17 \| good
2025-10-24T17:00:00.000Z	44 \| good	8.449 \| good	37.331 \| good	25.409 \| good	0.334 \| good	13.777 \| good	0.172 \| good
2025-10-24T18:00:00.000Z	44 \| good	8.196 \| good	36.522 \| good	20.787 \| good	0.393 \| good	13.682 \| good	0.172 \| good
2025-10-24T19:00:00.000Z	27 \| good	5.286 \| good	22.957 \| good	19.728 \| good	0.383 \| good	14.956 \| good	0.181 \| good
2025-10-24T20:00:00.000Z	22 \| good	3.687 \| good	15.939 \| good	22.986 \| good	0.393 \| good	15.201 \| good	0.171 \| good
2025-10-24T21:00:00.000Z	24 \| good	2.772 \| good	11.872 \| good	26.226 \| good	0.313 \| good	16.048 \| good	0.162 \| good
2025-10-24T22:00:00.000Z	27 \| good	2.375 \| good	9.893 \| good	29.467 \| good	0.35 \| good	12.627 \| good	0.109 \| good
2025-10-24T23:00:00.000Z	31 \| good	2.402 \| good	10.365 \| good	34.308 \| good	0.349 \| good	14.785 \| good	0.171 \| good
2025-10-25T00:00:00.000Z	31 \| good	2.292 \| good	9.311 \| good	32.917 \| good	0.349 \| good	15.6 \| good	0.19 \| good
2025-10-25T01:00:00.000Z	31 \| good	2.548 \| good	10.8 \| good	32.928 \| good	0.349 \| good	14.266 \| good	0.2 \| good
2025-10-25T02:00:00.000Z	29 \| good	2.745 \| good	11.788 \| good	31.468 \| good	0.349 \| good	13.274 \| good	0.118 \| good
2025-10-25T03:00:00.000Z	25 \| good	2.392 \| good	9.893 \| good	27.391 \| good	0.502 \| good	7.192 \| good	0.153 \| good
2025-10-25T04:00:00.000Z	24 \| good	2.461 \| good	10.273 \| good	25.803 \| good	0.327 \| good	10.061 \| good	0.109 \| good
2025-10-25T05:00:00.000Z	20 \| good	2.431 \| good	10.148 \| good	22.161 \| good	0.327 \| good	9.367 \| good	0.118 \| good
2025-10-25T06:00:00.000Z	25 \| good	2.3 \| good	9.995 \| good	26.676 \| good	0.349 \| good	9.109 \| good	0.12 \| good
2025-10-25T07:00:00.000Z	25 \| good	2.118 \| good	9.125 \| good	27.203 \| good	0.349 \| good	7.109 \| good	0.129 \| good
2025-10-25T08:00:00.000Z	28 \| good	2.08 \| good	8.914 \| good	30.192 \| good	0.309 \| good	10.002 \| good	0.118 \| good
2025-10-25T09:00:00.000Z	23 \| good	2.27 \| good	9.86 \| good	24.776 \| good	0.289 \| good	6.521 \| good	0.118 \| good
2025-10-25T10:00:00.000Z	24 \| good	3.147 \| good	13.748 \| good	26.053 \| good	0.309 \| good	7.244 \| good	0.118 \| good
2025-10-25T11:00:00.000Z	22 \| good	3.553 \| good	15.773 \| good	21.741 \| good	0.309 \| good	6.434 \| good	0.109 \| good
2025-10-25T12:00:00.000Z	19 \| good	3.198 \| good	13.988 \| good	20.725 \| good	0.309 \| good	9.946 \| good	0.109 \| good
2025-10-25T13:00:00.000Z	16 \| good	2.749 \| good	11.274 \| good	17.063 \| good	0.218 \| good	8.755 \| good	0.118 \| good
2025-10-25T14:00:00.000Z	19 \| good	2.709 \| good	11.092 \| good	19.632 \| good	0.199 \| good	2.725 \| good	0.1 \| good
2025-10-25T15:00:00.000Z	19 \| good	2.823 \| good	12.172 \| good	20.831 \| good	0.199 \| good	3.358 \| good	0.1 \| good
2025-10-25T16:00:00.000Z	19 \| good	2.959 \| good	11.886 \| good	20.896 \| good	0.198 \| good	3.599 \| good	0.1 \| good
2025-10-25T17:00:00.000Z	22 \| good	3.241 \| good	14.693 \| good	23.938 \| good	0.217 \| good	3.924 \| good	0.1 \| good
2025-10-25T18:00:00.000Z	22 \| good	3.541 \| good	15.725 \| good	22.8 \| good	0.216 \| good	2.724 \| good	0.109 \| good
2025-10-25T19:00:00.000Z	28 \| good	4.12 \| good	18.571 \| good	30.242 \| good	0.217 \| good	2.961 \| good	0.109 \| good
2025-10-25T20:00:00.000Z	31 \| good	4.851 \| good	21.281 \| good	34.173 \| good	0.236 \| good	4.232 \| good	0.118 \| good
2025-10-25T21:00:00.000Z	31 \| good	4.751 \| good	20.349 \| good	33.614 \| good	0.236 \| good	5.364 \| good	0.118 \| good
2025-10-25T22:00:00.000Z	29 \| good	3.397 \| good	15.532 \| good	30.702 \| good	0.237 \| good	6.249 \| good	0.181 \| good
2025-10-25T23:00:00.000Z	29 \| good	2.513 \| good	10.645 \| good	31.451 \| good	0.217 \| good	5.266 \| good	0.109 \| good
2025-10-26T00:00:00.000Z	28 \| good	2.137 \| good	8.761 \| good	29.513 \| good	0.217 \| good	5.168 \| good	0.109 \| good
2025-10-26T00:00:00.000Z	28 \| good	1.576 \| good	6.568 \| good	30.441 \| good	0.218 \| good	5.155 \| good	0.107 \| good
2025-10-24T17:00:00.000Z	24 \| good	2.494 \| good	10.516 \| good	25.881 \| good	0.244 \| good	2.297 \| good	0.119 \| good
2025-10-24T18:00:00.000Z	20 \| good	3.287 \| good	13.468 \| good	21.926 \| good	0.229 \| good	2.34 \| good	0.117 \| good
2025-10-24T19:00:00.000Z	22 \| good	3.825 \| good	16.767 \| good	20.999 \| good	0.268 \| good	2.807 \| good	0.119 \| good
2025-10-24T20:00:00.000Z	27 \| good	2.653 \| good	10.78 \| good	29.023 \| good	0.267 \| good	2.547 \| good	0.111 \| good
2025-10-24T21:00:00.000Z	24 \| good	2.983 \| good	12.644 \| good	26.311 \| good	0.275 \| good	2.602 \| good	0.11 \| good
2025-10-24T22:00:00.000Z	31 \| good	1.657 \| good	6.445 \| good	34.043 \| good	0.306 \| good	3.295 \| good	0.115 \| good
2025-10-24T23:00:00.000Z	31 \| good	0.935 \| good	3.928 \| good	33.66 \| good	0.338 \| good	3.989 \| good	0.121 \| good
2025-10-25T00:00:00.000Z	31 \| good	1.307 \| good	5.045 \| good	33.221 \| good	0.369 \| good	4.682 \| good	0.126 \| good
2025-10-25T01:00:00.000Z	27 \| good	1.651 \| good	6.861 \| good	28.548 \| good	0.533 \| good	7.49 \| good	0.164 \| good
2025-10-25T02:00:00.000Z	22 \| good	2.099 \| good	9.01 \| good	24.04 \| good	0.541 \| good	7.154 \| good	0.165 \| good
2025-10-25T03:00:00.000Z	21 \| good	3.208 \| good	14.015 \| good	23.224 \| good	0.55 \| good	6.818 \| good	0.166 \| good
2025-10-25T04:00:00.000Z	29 \| good	2.039 \| good	8.132 \| good	31.217 \| good	0.395 \| good	4.449 \| good	0.131 \| good
2025-10-25T05:00:00.000Z	28 \| good	2.115 \| good	8.829 \| good	30.153 \| good	0.401 \| good	3.579 \| good	0.125 \| good
2025-10-25T06:00:00.000Z	25 \| good	2.267 \| good	9.214 \| good	26.703 \| good	0.408 \| good	2.709 \| good	0.12 \| good
2025-10-25T07:00:00.000Z	21 \| good	2.419 \| good	10.14 \| good	22.509 \| good	0.434 \| good	2.376 \| good	0.117 \| good
2025-10-25T08:00:00.000Z	19 \| good	2.224 \| good	9.358 \| good	20.964 \| good	0.459 \| good	2.043 \| good	0.114 \| good
2025-10-25T09:00:00.000Z	19 \| good	2.119 \| good	8.994 \| good	20.034 \| good	0.281 \| good	1.875 \| good	0.115 \| good
2025-10-25T10:00:00.000Z	17 \| good	2.15 \| good	9.059 \| good	18.24 \| good	0.294 \| good	1.843 \| good	0.113 \| good
2025-10-25T11:00:00.000Z	16 \| good	2.41 \| good	10.347 \| good	17.332 \| good	0.307 \| good	1.811 \| good	0.112 \| good
2025-10-25T12:00:00.000Z	18 \| good	2.922 \| good	12.458 \| good	18.897 \| good	0.55 \| good	2.1 \| good	0.11 \| good
2025-10-25T13:00:00.000Z	19 \| good	2.221 \| good	9.678 \| good	20.127 \| good	0.57 \| good	3.306 \| good	0.119 \| good
2025-10-25T14:00:00.000Z	19 \| good	1.623 \| good	6.991 \| good	20.025 \| good	0.591 \| good	4.513 \| good	0.128 \| good
2025-10-25T15:00:00.000Z	18 \| good	2.392 \| good	10.051 \| good	19.232 \| good	0.612 \| good	5.72 \| good	0.137 \| good
2025-10-25T16:00:00.000Z	21 \| good	1.86 \| good	8.05 \| good	22.969 \| good	0.543 \| good	5.199 \| good	0.138 \| good
2025-10-25T17:00:00.000Z	19 \| good	1.751 \| good	7.397 \| good	20.857 \| good	0.309 \| good	3.342 \| good	0.13 \| good
2025-10-25T18:00:00.000Z	19 \| good	2.335 \| good	9.818 \| good	21.267 \| good	0.276 \| good	2.941 \| good	0.129 \| good
2025-10-25T19:00:00.000Z	25 \| good	2.508 \| good	10.274 \| good	26.956 \| good	0.256 \| good	2.499 \| good	0.125 \| good
2025-10-25T20:00:00.000Z	22 \| good	3.256 \| good	13.422 \| good	23.618 \| good	0.298 \| good	2.545 \| good	0.126 \| good
2025-10-25T21:00:00.000Z	30 \| good	2.375 \| good	9.736 \| good	32.438 \| good	0.243 \| good	1.739 \| good	0.12 \| good
2025-10-25T22:00:00.000Z	33 \| good	2.36 \| good	9.927 \| good	35.816 \| good	0.231 \| good	1.827 \| good	0.12 \| good
2025-10-25T23:00:00.000Z	32 \| good	2.218 \| good	8.961 \| good	34.562 \| good	0.219 \| good	1.915 \| good	0.119 \| good
2025-10-26T00:00:00.000Z	31 \| good	2.215 \| good	9.598 \| good	33.389 \| good	0.207 \| good	2.004 \| good	0.119 \| good
2025-10-26T01:00:00.000Z	23 \| good	3.928 \| good	17.348 \| good	25.308 \| good	0.231 \| good	2.321 \| good	0.126 \| good
2025-10-26T02:00:00.000Z	27 \| good	2.659 \| good	11.141 \| good	29.305 \| good	0.24 \| good	2.524 \| good	0.129 \| good
2025-10-26T03:00:00.000Z	29 \| good	1.904 \| good	7.939 \| good	31.274 \| good	0.249 \| good	2.728 \| good	0.132 \| good
2025-10-26T04:00:00.000Z	31 \| good	2.623 \| good	10.939 \| good	34.314 \| good	0.31 \| good	1.697 \| good	0.107 \| good
2025-10-26T05:00:00.000Z	32 \| good	2.185 \| good	9.3 \| good	35.16 \| good	0.372 \| good	1.533 \| good	0.105 \| good
2025-10-26T06:00:00.000Z	32 \| good	1.59 \| good	6.348 \| good	35.117 \| good	0.435 \| good	1.368 \| good	0.102 \| good
2025-10-26T07:00:00.000Z	32 \| good	1.701 \| good	6.741 \| good	34.86 \| good	0.446 \| good	1.34 \| good	0.102 \| good
2025-10-26T08:00:00.000Z	33 \| good	1.111 \| good	4.543 \| good	35.507 \| good	0.456 \| good	1.312 \| good	0.101 \| good
2025-10-26T09:00:00.000Z	32 \| good	1.006 \| good	3.703 \| good	35.313 \| good	0.325 \| good	0.989 \| good	0.105 \| good
2025-10-26T10:00:00.000Z	33 \| good	1.278 \| good	5.348 \| good	35.589 \| good	0.358 \| good	1.076 \| good	0.105 \| good
2025-10-26T11:00:00.000Z	32 \| good	1.452 \| good	5.881 \| good	34.96 \| good	0.391 \| good	1.164 \| good	0.105 \| good
2025-10-26T12:00:00.000Z	30 \| good	2.029 \| good	8.39 \| good	31.696 \| good	0.437 \| good	1.456 \| good	0.101 \| good
2025-10-26T13:00:00.000Z	30 \| good	1.369 \| good	5.426 \| good	31.754 \| good	0.46 \| good	2.047 \| good	0.106 \| good
2025-10-26T14:00:00.000Z	30 \| good	1.517 \| good	6.435 \| good	32.103 \| good	0.484 \| good	2.639 \| good	0.111 \| good
2025-10-26T15:00:00.000Z	29 \| good	2.165 \| good	8.976 \| good	31.017 \| good	0.507 \| good	3.23 \| good	0.116 \| good
2025-10-26T16:00:00.000Z	29 \| good	1.868 \| good	7.646 \| good	30.562 \| good	0.46 \| good	2.861 \| good	0.115 \| good

Lakeland North

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Lakeland North, Washington air quality map: Track AQI near you

0.18ppm

How accurate is Washington, USA air quality data?

Air quality data and pollutant measurements for Washington, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Lakeland North, Washington updated?

The air quality for Lakeland North, Washington is updated every hour.

When was the worst air quality at Lakeland North, Washington in the last 24 hrs?

The worst air quality in Lakeland North, Washington in the last 24 hours was observed at 09:00:00 on 2025-10-24.

When was the best air quality at Lakeland North, Washington in the last 24 hrs?

In the last 24 hrs, the best air quality in Lakeland North, Washington was observed at 02:00:00 on 2025-10-24.

What is the current air quality in Lakeland North, Washington?

The current air quality in Lakeland North, Washington is 38, categorized as Good based on real-time data.

What pollutant is the most common in Lakeland North, Washington?

The most common pollutant in Lakeland North, Washington is PM2.5.

What should I do if the air quality in Lakeland North, Washington is poor?

If the air quality in Lakeland North, Washington is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Lakeland North, Washington?

The current PM_2.5 concentration at Lakeland North, Washington is 6.795 μg/m³.

What is the current concentration of PM₁₀ in Lakeland North, Washington?

The current PM₁₀ concentration at Lakeland North, Washington is 29.948 μg/m³.

What is the current concentration of carbon monoxide (CO) in Lakeland North, Washington?

The current carbon monoxide (CO) concentration at Lakeland North, Washington is 0.181 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Lakeland North, Washington?

The current sulfur dioxide (SO₂) concentration at Lakeland North, Washington is 0.332 ppb.

What is the current concentration of ozone (O₃) in Lakeland North, Washington?

The current ozone (O₃) concentration at Lakeland North, Washington is 17.844 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Lakeland North, Washington?

The current nitrogen dioxide (NO₂) concentration at Lakeland North, Washington is 16.195 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-24T01:00:00.000Z	38 \| good	6.745 \| good	29.746 \| good	15.687 \| good	0.315 \| good	14.142 \| good	0.2 \| good
2025-10-24T02:00:00.000Z	38 \| good	6.84 \| good	30.699 \| good	17.494 \| good	0.315 \| good	13.736 \| good	0.19 \| good
2025-10-24T03:00:00.000Z	56 \| moderate	12.053 \| good	54.041 \| good	6.922 \| good	0.774 \| good	16.214 \| good	0.278 \| good
2025-10-24T04:00:00.000Z	49 \| good	9.165 \| good	41.355 \| good	14.983 \| good	0.306 \| good	14.7 \| good	0.21 \| good
2025-10-24T05:00:00.000Z	49 \| good	8.922 \| good	40.596 \| good	13.542 \| good	0.421 \| good	15.736 \| good	0.28 \| good
2025-10-24T06:00:00.000Z	49 \| good	9.049 \| good	40.741 \| good	16.349 \| good	0.407 \| good	19.495 \| good	0.28 \| good
2025-10-24T07:00:00.000Z	49 \| good	9.23 \| good	41.128 \| good	24.117 \| good	0.427 \| good	18.34 \| good	0.29 \| good
2025-10-24T08:00:00.000Z	52 \| moderate	9.629 \| good	43.114 \| good	21.849 \| good	0.371 \| good	16.483 \| good	0.279 \| good
2025-10-24T09:00:00.000Z	56 \| moderate	11.809 \| good	53.55 \| good	19.329 \| good	0.324 \| good	12.345 \| good	0.199 \| good
2025-10-24T10:00:00.000Z	54 \| moderate	10.601 \| good	47.009 \| good	21.863 \| good	0.324 \| good	12.392 \| good	0.199 \| good
2025-10-24T11:00:00.000Z	52 \| moderate	9.664 \| good	43.276 \| good	17.305 \| good	0.372 \| good	13.445 \| good	0.19 \| good
2025-10-24T12:00:00.000Z	49 \| good	9.288 \| good	41.401 \| good	24.57 \| good	0.393 \| good	14.772 \| good	0.172 \| good
2025-10-24T13:00:00.000Z	49 \| good	8.664 \| good	38.31 \| good	11.795 \| good	0.334 \| good	13.429 \| good	0.172 \| good
2025-10-24T14:00:00.000Z	44 \| good	7.75 \| good	34.223 \| good	15.431 \| good	0.274 \| good	8.675 \| good	0.181 \| good
2025-10-24T15:00:00.000Z	44 \| good	7.505 \| good	33.033 \| good	20.534 \| good	0.334 \| good	15.739 \| good	0.181 \| good
2025-10-24T16:00:00.000Z	38 \| good	7.056 \| good	31.782 \| good	20.198 \| good	0.324 \| good	17.696 \| good	0.17 \| good
2025-10-24T17:00:00.000Z	44 \| good	8.449 \| good	37.331 \| good	25.409 \| good	0.334 \| good	13.777 \| good	0.172 \| good
2025-10-24T18:00:00.000Z	44 \| good	8.196 \| good	36.522 \| good	20.787 \| good	0.393 \| good	13.682 \| good	0.172 \| good
2025-10-24T19:00:00.000Z	27 \| good	5.286 \| good	22.957 \| good	19.728 \| good	0.383 \| good	14.956 \| good	0.181 \| good
2025-10-24T20:00:00.000Z	22 \| good	3.687 \| good	15.939 \| good	22.986 \| good	0.393 \| good	15.201 \| good	0.171 \| good
2025-10-24T21:00:00.000Z	24 \| good	2.772 \| good	11.872 \| good	26.226 \| good	0.313 \| good	16.048 \| good	0.162 \| good
2025-10-24T22:00:00.000Z	27 \| good	2.375 \| good	9.893 \| good	29.467 \| good	0.35 \| good	12.627 \| good	0.109 \| good
2025-10-24T23:00:00.000Z	31 \| good	2.402 \| good	10.365 \| good	34.308 \| good	0.349 \| good	14.785 \| good	0.171 \| good
2025-10-25T00:00:00.000Z	31 \| good	2.292 \| good	9.311 \| good	32.917 \| good	0.349 \| good	15.6 \| good	0.19 \| good
2025-10-25T01:00:00.000Z	31 \| good	2.548 \| good	10.8 \| good	32.928 \| good	0.349 \| good	14.266 \| good	0.2 \| good
2025-10-25T02:00:00.000Z	29 \| good	2.745 \| good	11.788 \| good	31.468 \| good	0.349 \| good	13.274 \| good	0.118 \| good
2025-10-25T03:00:00.000Z	25 \| good	2.392 \| good	9.893 \| good	27.391 \| good	0.502 \| good	7.192 \| good	0.153 \| good
2025-10-25T04:00:00.000Z	24 \| good	2.461 \| good	10.273 \| good	25.803 \| good	0.327 \| good	10.061 \| good	0.109 \| good
2025-10-25T05:00:00.000Z	20 \| good	2.431 \| good	10.148 \| good	22.161 \| good	0.327 \| good	9.367 \| good	0.118 \| good
2025-10-25T06:00:00.000Z	25 \| good	2.3 \| good	9.995 \| good	26.676 \| good	0.349 \| good	9.109 \| good	0.12 \| good
2025-10-25T07:00:00.000Z	25 \| good	2.118 \| good	9.125 \| good	27.203 \| good	0.349 \| good	7.109 \| good	0.129 \| good
2025-10-25T08:00:00.000Z	28 \| good	2.08 \| good	8.914 \| good	30.192 \| good	0.309 \| good	10.002 \| good	0.118 \| good
2025-10-25T09:00:00.000Z	23 \| good	2.27 \| good	9.86 \| good	24.776 \| good	0.289 \| good	6.521 \| good	0.118 \| good
2025-10-25T10:00:00.000Z	24 \| good	3.147 \| good	13.748 \| good	26.053 \| good	0.309 \| good	7.244 \| good	0.118 \| good
2025-10-25T11:00:00.000Z	22 \| good	3.553 \| good	15.773 \| good	21.741 \| good	0.309 \| good	6.434 \| good	0.109 \| good
2025-10-25T12:00:00.000Z	19 \| good	3.198 \| good	13.988 \| good	20.725 \| good	0.309 \| good	9.946 \| good	0.109 \| good
2025-10-25T13:00:00.000Z	16 \| good	2.749 \| good	11.274 \| good	17.063 \| good	0.218 \| good	8.755 \| good	0.118 \| good
2025-10-25T14:00:00.000Z	19 \| good	2.709 \| good	11.092 \| good	19.632 \| good	0.199 \| good	2.725 \| good	0.1 \| good
2025-10-25T15:00:00.000Z	19 \| good	2.823 \| good	12.172 \| good	20.831 \| good	0.199 \| good	3.358 \| good	0.1 \| good
2025-10-25T16:00:00.000Z	19 \| good	2.959 \| good	11.886 \| good	20.896 \| good	0.198 \| good	3.599 \| good	0.1 \| good
2025-10-25T17:00:00.000Z	22 \| good	3.241 \| good	14.693 \| good	23.938 \| good	0.217 \| good	3.924 \| good	0.1 \| good
2025-10-25T18:00:00.000Z	22 \| good	3.541 \| good	15.725 \| good	22.8 \| good	0.216 \| good	2.724 \| good	0.109 \| good
2025-10-25T19:00:00.000Z	28 \| good	4.12 \| good	18.571 \| good	30.242 \| good	0.217 \| good	2.961 \| good	0.109 \| good
2025-10-25T20:00:00.000Z	31 \| good	4.851 \| good	21.281 \| good	34.173 \| good	0.236 \| good	4.232 \| good	0.118 \| good
2025-10-25T21:00:00.000Z	31 \| good	4.751 \| good	20.349 \| good	33.614 \| good	0.236 \| good	5.364 \| good	0.118 \| good
2025-10-25T22:00:00.000Z	29 \| good	3.397 \| good	15.532 \| good	30.702 \| good	0.237 \| good	6.249 \| good	0.181 \| good
2025-10-25T23:00:00.000Z	29 \| good	2.513 \| good	10.645 \| good	31.451 \| good	0.217 \| good	5.266 \| good	0.109 \| good
2025-10-26T00:00:00.000Z	28 \| good	2.137 \| good	8.761 \| good	29.513 \| good	0.217 \| good	5.168 \| good	0.109 \| good
2025-10-26T00:00:00.000Z	28 \| good	1.576 \| good	6.568 \| good	30.441 \| good	0.218 \| good	5.155 \| good	0.107 \| good
2025-10-24T17:00:00.000Z	24 \| good	2.494 \| good	10.516 \| good	25.881 \| good	0.244 \| good	2.297 \| good	0.119 \| good
2025-10-24T18:00:00.000Z	20 \| good	3.287 \| good	13.468 \| good	21.926 \| good	0.229 \| good	2.34 \| good	0.117 \| good
2025-10-24T19:00:00.000Z	22 \| good	3.825 \| good	16.767 \| good	20.999 \| good	0.268 \| good	2.807 \| good	0.119 \| good
2025-10-24T20:00:00.000Z	27 \| good	2.653 \| good	10.78 \| good	29.023 \| good	0.267 \| good	2.547 \| good	0.111 \| good
2025-10-24T21:00:00.000Z	24 \| good	2.983 \| good	12.644 \| good	26.311 \| good	0.275 \| good	2.602 \| good	0.11 \| good
2025-10-24T22:00:00.000Z	31 \| good	1.657 \| good	6.445 \| good	34.043 \| good	0.306 \| good	3.295 \| good	0.115 \| good
2025-10-24T23:00:00.000Z	31 \| good	0.935 \| good	3.928 \| good	33.66 \| good	0.338 \| good	3.989 \| good	0.121 \| good
2025-10-25T00:00:00.000Z	31 \| good	1.307 \| good	5.045 \| good	33.221 \| good	0.369 \| good	4.682 \| good	0.126 \| good
2025-10-25T01:00:00.000Z	27 \| good	1.651 \| good	6.861 \| good	28.548 \| good	0.533 \| good	7.49 \| good	0.164 \| good
2025-10-25T02:00:00.000Z	22 \| good	2.099 \| good	9.01 \| good	24.04 \| good	0.541 \| good	7.154 \| good	0.165 \| good
2025-10-25T03:00:00.000Z	21 \| good	3.208 \| good	14.015 \| good	23.224 \| good	0.55 \| good	6.818 \| good	0.166 \| good
2025-10-25T04:00:00.000Z	29 \| good	2.039 \| good	8.132 \| good	31.217 \| good	0.395 \| good	4.449 \| good	0.131 \| good
2025-10-25T05:00:00.000Z	28 \| good	2.115 \| good	8.829 \| good	30.153 \| good	0.401 \| good	3.579 \| good	0.125 \| good
2025-10-25T06:00:00.000Z	25 \| good	2.267 \| good	9.214 \| good	26.703 \| good	0.408 \| good	2.709 \| good	0.12 \| good
2025-10-25T07:00:00.000Z	21 \| good	2.419 \| good	10.14 \| good	22.509 \| good	0.434 \| good	2.376 \| good	0.117 \| good
2025-10-25T08:00:00.000Z	19 \| good	2.224 \| good	9.358 \| good	20.964 \| good	0.459 \| good	2.043 \| good	0.114 \| good
2025-10-25T09:00:00.000Z	19 \| good	2.119 \| good	8.994 \| good	20.034 \| good	0.281 \| good	1.875 \| good	0.115 \| good
2025-10-25T10:00:00.000Z	17 \| good	2.15 \| good	9.059 \| good	18.24 \| good	0.294 \| good	1.843 \| good	0.113 \| good
2025-10-25T11:00:00.000Z	16 \| good	2.41 \| good	10.347 \| good	17.332 \| good	0.307 \| good	1.811 \| good	0.112 \| good
2025-10-25T12:00:00.000Z	18 \| good	2.922 \| good	12.458 \| good	18.897 \| good	0.55 \| good	2.1 \| good	0.11 \| good
2025-10-25T13:00:00.000Z	19 \| good	2.221 \| good	9.678 \| good	20.127 \| good	0.57 \| good	3.306 \| good	0.119 \| good
2025-10-25T14:00:00.000Z	19 \| good	1.623 \| good	6.991 \| good	20.025 \| good	0.591 \| good	4.513 \| good	0.128 \| good
2025-10-25T15:00:00.000Z	18 \| good	2.392 \| good	10.051 \| good	19.232 \| good	0.612 \| good	5.72 \| good	0.137 \| good
2025-10-25T16:00:00.000Z	21 \| good	1.86 \| good	8.05 \| good	22.969 \| good	0.543 \| good	5.199 \| good	0.138 \| good
2025-10-25T17:00:00.000Z	19 \| good	1.751 \| good	7.397 \| good	20.857 \| good	0.309 \| good	3.342 \| good	0.13 \| good
2025-10-25T18:00:00.000Z	19 \| good	2.335 \| good	9.818 \| good	21.267 \| good	0.276 \| good	2.941 \| good	0.129 \| good
2025-10-25T19:00:00.000Z	25 \| good	2.508 \| good	10.274 \| good	26.956 \| good	0.256 \| good	2.499 \| good	0.125 \| good
2025-10-25T20:00:00.000Z	22 \| good	3.256 \| good	13.422 \| good	23.618 \| good	0.298 \| good	2.545 \| good	0.126 \| good
2025-10-25T21:00:00.000Z	30 \| good	2.375 \| good	9.736 \| good	32.438 \| good	0.243 \| good	1.739 \| good	0.12 \| good
2025-10-25T22:00:00.000Z	33 \| good	2.36 \| good	9.927 \| good	35.816 \| good	0.231 \| good	1.827 \| good	0.12 \| good
2025-10-25T23:00:00.000Z	32 \| good	2.218 \| good	8.961 \| good	34.562 \| good	0.219 \| good	1.915 \| good	0.119 \| good
2025-10-26T00:00:00.000Z	31 \| good	2.215 \| good	9.598 \| good	33.389 \| good	0.207 \| good	2.004 \| good	0.119 \| good
2025-10-26T01:00:00.000Z	23 \| good	3.928 \| good	17.348 \| good	25.308 \| good	0.231 \| good	2.321 \| good	0.126 \| good
2025-10-26T02:00:00.000Z	27 \| good	2.659 \| good	11.141 \| good	29.305 \| good	0.24 \| good	2.524 \| good	0.129 \| good
2025-10-26T03:00:00.000Z	29 \| good	1.904 \| good	7.939 \| good	31.274 \| good	0.249 \| good	2.728 \| good	0.132 \| good
2025-10-26T04:00:00.000Z	31 \| good	2.623 \| good	10.939 \| good	34.314 \| good	0.31 \| good	1.697 \| good	0.107 \| good
2025-10-26T05:00:00.000Z	32 \| good	2.185 \| good	9.3 \| good	35.16 \| good	0.372 \| good	1.533 \| good	0.105 \| good
2025-10-26T06:00:00.000Z	32 \| good	1.59 \| good	6.348 \| good	35.117 \| good	0.435 \| good	1.368 \| good	0.102 \| good
2025-10-26T07:00:00.000Z	32 \| good	1.701 \| good	6.741 \| good	34.86 \| good	0.446 \| good	1.34 \| good	0.102 \| good
2025-10-26T08:00:00.000Z	33 \| good	1.111 \| good	4.543 \| good	35.507 \| good	0.456 \| good	1.312 \| good	0.101 \| good
2025-10-26T09:00:00.000Z	32 \| good	1.006 \| good	3.703 \| good	35.313 \| good	0.325 \| good	0.989 \| good	0.105 \| good
2025-10-26T10:00:00.000Z	33 \| good	1.278 \| good	5.348 \| good	35.589 \| good	0.358 \| good	1.076 \| good	0.105 \| good
2025-10-26T11:00:00.000Z	32 \| good	1.452 \| good	5.881 \| good	34.96 \| good	0.391 \| good	1.164 \| good	0.105 \| good
2025-10-26T12:00:00.000Z	30 \| good	2.029 \| good	8.39 \| good	31.696 \| good	0.437 \| good	1.456 \| good	0.101 \| good
2025-10-26T13:00:00.000Z	30 \| good	1.369 \| good	5.426 \| good	31.754 \| good	0.46 \| good	2.047 \| good	0.106 \| good
2025-10-26T14:00:00.000Z	30 \| good	1.517 \| good	6.435 \| good	32.103 \| good	0.484 \| good	2.639 \| good	0.111 \| good
2025-10-26T15:00:00.000Z	29 \| good	2.165 \| good	8.976 \| good	31.017 \| good	0.507 \| good	3.23 \| good	0.116 \| good
2025-10-26T16:00:00.000Z	29 \| good	1.868 \| good	7.646 \| good	30.562 \| good	0.46 \| good	2.861 \| good	0.115 \| good

Lakeland North, Washington live air quality index now

Major air pollutants in Lakeland North, Washington

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Lakeland North, Washington air quality map: Track AQI near you

Air quality in nearby cities

Federal Way, Washington

Auburn, Washington

Lakeland South, Washington

Kent, Washington

Des Moines, Washington

Edgewood, Washington

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Frequently asked questions

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What is the current air quality in Lakeland North, Washington?

What pollutant is the most common in Lakeland North, Washington?

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What is the current concentration of PM2.5 in Lakeland North, Washington?

What is the current concentration of PM10 in Lakeland North, Washington?

What is the current concentration of carbon monoxide (CO) in Lakeland North, Washington?

What is the current concentration of sulfur dioxide (SO2) in Lakeland North, Washington?

What is the current concentration of ozone (O3) in Lakeland North, Washington?

What is the current concentration of nitrogen dioxide (NO2) in Lakeland North, Washington?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Lakeland North, Washington?

What is the current concentration of PM₁₀ in Lakeland North, Washington?

What is the current concentration of sulfur dioxide (SO₂) in Lakeland North, Washington?

What is the current concentration of ozone (O₃) in Lakeland North, Washington?

What is the current concentration of nitrogen dioxide (NO₂) in Lakeland North, Washington?