What are the current PM10 levels at Westphalia, Maryland?

The current PM10 levels in Westphalia, Maryland are 25.455 μg/m3.

What are the current sulfur dioxide (SO2) levels at Westphalia, Maryland?

The current sulfur dioxide (SO2) levels in Westphalia, Maryland are 0.42 ppb.

What are the current ozone (O3) levels at Westphalia, Maryland?

The current ozone (O3) levels at Westphalia, Maryland is 3.185 ppm.

What are the current nitrogen dioxide (NO2) levels at Westphalia, Maryland?

The current nitrogen dioxide (NO2) levels at Westphalia, Maryland is 17.812 ppb.

Real-time air quality index in Westphalia, Maryland today

Name: Live air pollution levels in Westphalia, Maryland today
Creator: Ambee

Stay updated with real-time air quality in Westphalia, Maryland 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

Westphalia, Maryland

Last updated: ... (Local time)

Common air pollutants in Westphalia, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.83 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

25.45 μg/m³

155

255

425

605+

Ozone (O₃)

3.19 ppb

201

201+

Sulfur Dioxide (SO₂)

0.42 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

17.81 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.69 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Westphalia, Maryland

Get Live Pollen Counts

Westphalia, Maryland

Scroll To Air Quality Map

Track live Westphalia, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T15:00:00.000Z	44 \| good	8.413 \| good	29.288 \| good	26.156 \| good	0.282 \| good	4.933 \| good	0.226 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.57 \| good	37.595 \| good	33.719 \| good	0.352 \| good	3.965 \| good	0.208 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	10.021 \| good	33.877 \| good	38.041 \| good	0.353 \| good	3.207 \| good	0.208 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.916 \| good	36.45 \| good	40.149 \| good	0.314 \| good	2.863 \| good	0.182 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.206 \| good	31.442 \| good	42.176 \| good	0.318 \| good	2.765 \| good	0.208 \| good
2025-10-19T20:00:00.000Z	42 \| good	7.485 \| good	31.884 \| good	44.935 \| good	0.283 \| good	2.513 \| good	0.196 \| good
2025-10-19T21:00:00.000Z	42 \| good	7.307 \| good	30.288 \| good	45.176 \| good	0.267 \| good	2.583 \| good	0.182 \| good
2025-10-19T22:00:00.000Z	39 \| good	4.736 \| good	18.676 \| good	42.07 \| good	0.28 \| good	3.021 \| good	0.182 \| good
2025-10-19T23:00:00.000Z	38 \| good	4.868 \| good	19.56 \| good	41.237 \| good	0.295 \| good	3.325 \| good	0.182 \| good
2025-10-20T00:00:00.000Z	36 \| good	4.987 \| good	21.99 \| good	38.958 \| good	0.262 \| good	4.717 \| good	0.182 \| good
2025-10-20T01:00:00.000Z	37 \| good	4.772 \| good	21.775 \| good	39.729 \| good	0.226 \| good	4.748 \| good	0.222 \| good
2025-10-20T02:00:00.000Z	34 \| good	5.103 \| good	22.185 \| good	37.47 \| good	0.235 \| good	3.786 \| good	0.222 \| good
2025-10-20T03:00:00.000Z	32 \| good	4.705 \| good	18.823 \| good	35.366 \| good	0.215 \| good	1.951 \| good	0.132 \| good
2025-10-20T04:00:00.000Z	33 \| good	4.493 \| good	14.999 \| good	35.826 \| good	0.19 \| good	1.998 \| good	0.132 \| good
2025-10-20T05:00:00.000Z	31 \| good	2.522 \| good	11.981 \| good	34.355 \| good	0.219 \| good	2.129 \| good	0.132 \| good
2025-10-20T06:00:00.000Z	31 \| good	2.179 \| good	9.301 \| good	33.496 \| good	0.132 \| good	2.874 \| good	0.132 \| good
2025-10-20T07:00:00.000Z	31 \| good	1.261 \| good	5.369 \| good	33.154 \| good	0.167 \| good	2.07 \| good	0.132 \| good
2025-10-20T08:00:00.000Z	28 \| good	1.325 \| good	5.97 \| good	30.486 \| good	0.142 \| good	4.155 \| good	0.132 \| good
2025-10-20T09:00:00.000Z	28 \| good	1.405 \| good	5.234 \| good	29.55 \| good	0.171 \| good	5.58 \| good	0.175 \| good
2025-10-20T10:00:00.000Z	26 \| good	1.07 \| good	3.748 \| good	27.667 \| good	0.167 \| good	2.525 \| good	0.132 \| good
2025-10-20T11:00:00.000Z	24 \| good	0.832 \| good	3.613 \| good	25.851 \| good	0.165 \| good	3.346 \| good	0.128 \| good
2025-10-20T12:00:00.000Z	24 \| good	1.433 \| good	5.946 \| good	26.172 \| good	0.186 \| good	3.281 \| good	0.114 \| good
2025-10-20T13:00:00.000Z	23 \| good	1.189 \| good	5.874 \| good	25.351 \| good	0.154 \| good	6.602 \| good	0.169 \| good
2025-10-20T14:00:00.000Z	23 \| good	1.89 \| good	9.407 \| good	24.53 \| good	0.179 \| good	6.595 \| good	0.184 \| good
2025-10-20T15:00:00.000Z	25 \| good	2.284 \| good	8.284 \| good	26.785 \| good	0.214 \| good	3.486 \| good	0.155 \| good
2025-10-20T16:00:00.000Z	27 \| good	1.793 \| good	6.499 \| good	29.374 \| good	0.231 \| good	2.208 \| good	0.114 \| good
2025-10-20T17:00:00.000Z	28 \| good	2.155 \| good	8.888 \| good	29.551 \| good	0.194 \| good	1.978 \| good	0.131 \| good
2025-10-20T18:00:00.000Z	30 \| good	1.3 \| good	6.535 \| good	32.13 \| good	0.186 \| good	1.809 \| good	0.155 \| good
2025-10-20T19:00:00.000Z	30 \| good	1.315 \| good	4.938 \| good	32.435 \| good	0.17 \| good	1.664 \| good	0.155 \| good
2025-10-20T20:00:00.000Z	30 \| good	1.161 \| good	9.537 \| good	31.91 \| good	0.177 \| good	1.666 \| good	0.155 \| good
2025-10-20T21:00:00.000Z	29 \| good	1.795 \| good	10.404 \| good	31.496 \| good	0.151 \| good	1.971 \| good	0.155 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.097 \| good	9.337 \| good	33.266 \| good	0.179 \| good	2.777 \| good	0.155 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.612 \| good	11.653 \| good	34 \| good	0.174 \| good	2.306 \| good	0.155 \| good
2025-10-21T00:00:00.000Z	26 \| good	2.751 \| good	12.13 \| good	27.891 \| good	0.157 \| good	3.243 \| good	0.155 \| good
2025-10-21T01:00:00.000Z	22 \| good	2.431 \| good	12.335 \| good	24.026 \| good	0.189 \| good	6.373 \| good	0.183 \| good
2025-10-21T02:00:00.000Z	19 \| good	2.787 \| good	14.554 \| good	20.678 \| good	0.157 \| good	10.203 \| good	0.268 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	10.28 \| good	45.64 \| good	5.078 \| good	2.428 \| good	23.643 \| good	0.268 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.601 \| good	20.417 \| good	11.536 \| good	0.191 \| good	17.887 \| good	0.433 \| good
2025-10-21T05:00:00.000Z	27 \| good	4.61 \| good	22.272 \| good	8.901 \| good	0.186 \| good	19.871 \| good	0.424 \| good
2025-10-21T06:00:00.000Z	38 \| good	6.547 \| good	29.484 \| good	6.326 \| good	0.175 \| good	19.563 \| good	0.425 \| good
2025-10-21T07:00:00.000Z	27 \| good	5.348 \| good	25.601 \| good	5.493 \| good	0.172 \| good	20.173 \| good	0.386 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.914 \| good	19.792 \| good	4.657 \| good	0.23 \| good	19.047 \| good	0.411 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.77 \| good	22.367 \| good	4.946 \| good	0.23 \| good	17.351 \| good	0.38 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.922 \| good	18.587 \| good	3.364 \| good	0.321 \| good	15.475 \| good	0.38 \| good
2025-10-21T11:00:00.000Z	52 \| moderate	10.26 \| good	22.636 \| good	2.246 \| good	0.332 \| good	14.768 \| good	0.422 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.866 \| good	23.835 \| good	3.072 \| good	0.395 \| good	15.381 \| good	0.589 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.835 \| good	25.455 \| good	3.185 \| good	0.42 \| good	17.812 \| good	0.688 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.835 \| good	25.455 \| good	3.185 \| good	0.42 \| good	17.812 \| good	0.688 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.496 \| good	23.732 \| good	28.002 \| good	1.682 \| good	4.883 \| good	0.192 \| good
2025-10-21T16:00:00.000Z	44 \| good	7.553 \| good	33.189 \| good	34.067 \| good	1.803 \| good	3.931 \| good	0.18 \| good
2025-10-21T17:00:00.000Z	37 \| good	5.557 \| good	24.074 \| good	39.622 \| good	1.923 \| good	2.978 \| good	0.167 \| good
2025-10-21T18:00:00.000Z	40 \| good	6.531 \| good	29.152 \| good	43.348 \| good	2.043 \| good	2.026 \| good	0.155 \| good
2025-10-21T19:00:00.000Z	43 \| good	6.862 \| good	30.17 \| good	46.082 \| good	1.925 \| good	2.295 \| good	0.154 \| good
2025-10-21T20:00:00.000Z	43 \| good	6.2 \| good	27.261 \| good	46.254 \| good	1.806 \| good	2.565 \| good	0.153 \| good
2025-10-21T21:00:00.000Z	41 \| good	5.446 \| good	23.092 \| good	44.088 \| good	1.687 \| good	2.834 \| good	0.152 \| good
2025-10-21T22:00:00.000Z	37 \| good	5.287 \| good	22.824 \| good	39.964 \| good	1.743 \| good	4.936 \| good	0.166 \| good
2025-10-21T23:00:00.000Z	34 \| good	5.132 \| good	21.958 \| good	36.933 \| good	1.799 \| good	7.037 \| good	0.18 \| good
2025-10-22T00:00:00.000Z	44 \| good	7.712 \| good	33.953 \| good	33.295 \| good	1.855 \| good	9.138 \| good	0.194 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.345 \| good	36.539 \| good	22.008 \| good	1.871 \| good	8.224 \| good	0.185 \| good
2025-10-22T02:00:00.000Z	52 \| moderate	10.49 \| good	46.958 \| good	15.524 \| good	1.888 \| good	7.31 \| good	0.177 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.341 \| good	32.597 \| good	23.406 \| good	1.904 \| good	6.396 \| good	0.168 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.166 \| good	22.073 \| good	29.388 \| good	1.822 \| good	6.334 \| good	0.169 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.108 \| good	26.996 \| good	22.491 \| good	1.74 \| good	6.272 \| good	0.171 \| good
2025-10-22T06:00:00.000Z	33 \| good	6.03 \| good	26.528 \| good	21.316 \| good	1.658 \| good	6.21 \| good	0.173 \| good
2025-10-22T07:00:00.000Z	27 \| good	5.01 \| good	21.805 \| good	22.988 \| good	1.864 \| good	5.735 \| good	0.166 \| good
2025-10-22T08:00:00.000Z	27 \| good	5.296 \| good	22.744 \| good	22.378 \| good	2.069 \| good	5.26 \| good	0.159 \| good
2025-10-22T09:00:00.000Z	27 \| good	5.058 \| good	21.777 \| good	21.701 \| good	2.275 \| good	4.785 \| good	0.152 \| good
2025-10-22T10:00:00.000Z	22 \| good	4.303 \| good	18.741 \| good	15.835 \| good	2.483 \| good	5.826 \| good	0.157 \| good
2025-10-22T11:00:00.000Z	22 \| good	3.806 \| good	16.669 \| good	10.503 \| good	2.692 \| good	6.866 \| good	0.162 \| good
2025-10-22T12:00:00.000Z	16 \| good	3.149 \| good	13.458 \| good	16.169 \| good	2.901 \| good	7.906 \| good	0.168 \| good
2025-10-22T13:00:00.000Z	22 \| good	3.56 \| good	15.596 \| good	24.159 \| good	2.824 \| good	6.218 \| good	0.158 \| good
2025-10-22T14:00:00.000Z	30 \| good	2.116 \| good	8.871 \| good	31.984 \| good	2.747 \| good	4.53 \| good	0.148 \| good
2025-10-22T15:00:00.000Z	31 \| good	1.886 \| good	7.958 \| good	33.987 \| good	2.67 \| good	2.841 \| good	0.139 \| good
2025-10-22T16:00:00.000Z	33 \| good	2.288 \| good	9.731 \| good	35.862 \| good	2.288 \| good	2.477 \| good	0.135 \| good
2025-10-22T17:00:00.000Z	33 \| good	1.687 \| good	7.034 \| good	36.468 \| good	1.907 \| good	2.112 \| good	0.132 \| good
2025-10-22T18:00:00.000Z	34 \| good	3.239 \| good	14.045 \| good	37.221 \| good	1.525 \| good	1.748 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	35 \| good	2.648 \| good	10.981 \| good	37.596 \| good	1.46 \| good	2.24 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	32 \| good	3.192 \| good	13.839 \| good	35.263 \| good	1.395 \| good	2.733 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	31 \| good	2.167 \| good	8.92 \| good	33.833 \| good	1.33 \| good	3.225 \| good	0.137 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.535 \| good	10.083 \| good	28.963 \| good	1.632 \| good	6.775 \| good	0.16 \| good
2025-10-22T23:00:00.000Z	25 \| good	2.466 \| good	10.045 \| good	27.329 \| good	1.933 \| good	10.324 \| good	0.183 \| good
2025-10-23T00:00:00.000Z	33 \| good	6.152 \| good	26.892 \| good	17.209 \| good	2.235 \| good	13.873 \| good	0.206 \| good
2025-10-23T01:00:00.000Z	38 \| good	6.94 \| good	30.823 \| good	11.114 \| good	2.342 \| good	12.987 \| good	0.198 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.132 \| good	31.75 \| good	11.678 \| good	2.449 \| good	12.101 \| good	0.189 \| good
2025-10-23T03:00:00.000Z	38 \| good	7.223 \| good	31.926 \| good	12.041 \| good	2.556 \| good	11.215 \| good	0.181 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.943 \| good	30.762 \| good	12.326 \| good	2.53 \| good	10.068 \| good	0.174 \| good
2025-10-23T05:00:00.000Z	44 \| good	7.915 \| good	34.778 \| good	10.779 \| good	2.504 \| good	8.922 \| good	0.167 \| good
2025-10-23T06:00:00.000Z	44 \| good	7.95 \| good	34.766 \| good	10.335 \| good	2.479 \| good	7.776 \| good	0.159 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.899 \| good	30.723 \| good	11.106 \| good	2.218 \| good	6.725 \| good	0.153 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.794 \| good	29.851 \| good	11.155 \| good	1.957 \| good	5.674 \| good	0.147 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.465 \| good	28.582 \| good	6.749 \| good	1.697 \| good	4.622 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.455 \| good	23.751 \| good	6.034 \| good	1.627 \| good	5.268 \| good	0.146 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.388 \| good	22.863 \| good	4.167 \| good	1.557 \| good	5.914 \| good	0.152 \| good
2025-10-23T12:00:00.000Z	27 \| good	4.745 \| good	20.577 \| good	9.491 \| good	1.487 \| good	6.559 \| good	0.158 \| good
2025-10-23T13:00:00.000Z	38 \| good	6.93 \| good	30.535 \| good	20.355 \| good	1.747 \| good	5.336 \| good	0.152 \| good
2025-10-23T14:00:00.000Z	28 \| good	4.652 \| good	20.031 \| good	30.258 \| good	2.006 \| good	4.113 \| good	0.146 \| good

Westphalia

Empower business decisions with accurate air quality data

Westphalia, Maryland air quality map: Real-time AQI near you

0.77ppm

How accurate is Maryland, USA air quality data?

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

Source: Ambee Data Sources

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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 Westphalia, Maryland updated?

Air quality data for Westphalia, Maryland is updated on an hourly basis.

When did Westphalia, Maryland experience the worst air quality in the last 24 hours?

The worst air quality in Westphalia, Maryland was recorded at 11:00:00 on 2025-10-21.

When did Westphalia, Maryland have its best air quality in the last 24 hours?

The best air quality in Westphalia, Maryland was recorded at 02:00:00 on 2025-10-21.

What is the real-time air quality index for Westphalia, Maryland?

The real-time air quality index in Westphalia, Maryland is 44, currently categorized as Good.

Which pollutant is found most often in Westphalia, Maryland?

The most common pollutant in Westphalia, Maryland is PM2.5.

What can I do if the air quality in Westphalia, Maryland is poor?

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

What are the current PM_2.5 levels in Westphalia, Maryland?

The measured PM_2.5 levels in Westphalia, Maryland at present are 7.835 μg/m³.

What are the current PM₁₀ levels at Westphalia, Maryland?

The current PM₁₀ levels in Westphalia, Maryland are 25.455 μg/m³.

What are the current carbon monoxide (CO) levels at Westphalia, Maryland?

The current carbon monoxide (CO) level in Westphalia, Maryland is 0.688 ppm.

What are the current sulfur dioxide (SO₂) levels at Westphalia, Maryland?

The current sulfur dioxide (SO₂) levels in Westphalia, Maryland are 0.42 ppb.

What are the current ozone (O₃) levels at Westphalia, Maryland?

The current ozone (O₃) levels at Westphalia, Maryland is 3.185 ppm.

What are the current nitrogen dioxide (NO₂) levels at Westphalia, Maryland?

The current nitrogen dioxide (NO₂) levels at Westphalia, Maryland is 17.812 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T15:00:00.000Z	44 \| good	8.413 \| good	29.288 \| good	26.156 \| good	0.282 \| good	4.933 \| good	0.226 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.57 \| good	37.595 \| good	33.719 \| good	0.352 \| good	3.965 \| good	0.208 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	10.021 \| good	33.877 \| good	38.041 \| good	0.353 \| good	3.207 \| good	0.208 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.916 \| good	36.45 \| good	40.149 \| good	0.314 \| good	2.863 \| good	0.182 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.206 \| good	31.442 \| good	42.176 \| good	0.318 \| good	2.765 \| good	0.208 \| good
2025-10-19T20:00:00.000Z	42 \| good	7.485 \| good	31.884 \| good	44.935 \| good	0.283 \| good	2.513 \| good	0.196 \| good
2025-10-19T21:00:00.000Z	42 \| good	7.307 \| good	30.288 \| good	45.176 \| good	0.267 \| good	2.583 \| good	0.182 \| good
2025-10-19T22:00:00.000Z	39 \| good	4.736 \| good	18.676 \| good	42.07 \| good	0.28 \| good	3.021 \| good	0.182 \| good
2025-10-19T23:00:00.000Z	38 \| good	4.868 \| good	19.56 \| good	41.237 \| good	0.295 \| good	3.325 \| good	0.182 \| good
2025-10-20T00:00:00.000Z	36 \| good	4.987 \| good	21.99 \| good	38.958 \| good	0.262 \| good	4.717 \| good	0.182 \| good
2025-10-20T01:00:00.000Z	37 \| good	4.772 \| good	21.775 \| good	39.729 \| good	0.226 \| good	4.748 \| good	0.222 \| good
2025-10-20T02:00:00.000Z	34 \| good	5.103 \| good	22.185 \| good	37.47 \| good	0.235 \| good	3.786 \| good	0.222 \| good
2025-10-20T03:00:00.000Z	32 \| good	4.705 \| good	18.823 \| good	35.366 \| good	0.215 \| good	1.951 \| good	0.132 \| good
2025-10-20T04:00:00.000Z	33 \| good	4.493 \| good	14.999 \| good	35.826 \| good	0.19 \| good	1.998 \| good	0.132 \| good
2025-10-20T05:00:00.000Z	31 \| good	2.522 \| good	11.981 \| good	34.355 \| good	0.219 \| good	2.129 \| good	0.132 \| good
2025-10-20T06:00:00.000Z	31 \| good	2.179 \| good	9.301 \| good	33.496 \| good	0.132 \| good	2.874 \| good	0.132 \| good
2025-10-20T07:00:00.000Z	31 \| good	1.261 \| good	5.369 \| good	33.154 \| good	0.167 \| good	2.07 \| good	0.132 \| good
2025-10-20T08:00:00.000Z	28 \| good	1.325 \| good	5.97 \| good	30.486 \| good	0.142 \| good	4.155 \| good	0.132 \| good
2025-10-20T09:00:00.000Z	28 \| good	1.405 \| good	5.234 \| good	29.55 \| good	0.171 \| good	5.58 \| good	0.175 \| good
2025-10-20T10:00:00.000Z	26 \| good	1.07 \| good	3.748 \| good	27.667 \| good	0.167 \| good	2.525 \| good	0.132 \| good
2025-10-20T11:00:00.000Z	24 \| good	0.832 \| good	3.613 \| good	25.851 \| good	0.165 \| good	3.346 \| good	0.128 \| good
2025-10-20T12:00:00.000Z	24 \| good	1.433 \| good	5.946 \| good	26.172 \| good	0.186 \| good	3.281 \| good	0.114 \| good
2025-10-20T13:00:00.000Z	23 \| good	1.189 \| good	5.874 \| good	25.351 \| good	0.154 \| good	6.602 \| good	0.169 \| good
2025-10-20T14:00:00.000Z	23 \| good	1.89 \| good	9.407 \| good	24.53 \| good	0.179 \| good	6.595 \| good	0.184 \| good
2025-10-20T15:00:00.000Z	25 \| good	2.284 \| good	8.284 \| good	26.785 \| good	0.214 \| good	3.486 \| good	0.155 \| good
2025-10-20T16:00:00.000Z	27 \| good	1.793 \| good	6.499 \| good	29.374 \| good	0.231 \| good	2.208 \| good	0.114 \| good
2025-10-20T17:00:00.000Z	28 \| good	2.155 \| good	8.888 \| good	29.551 \| good	0.194 \| good	1.978 \| good	0.131 \| good
2025-10-20T18:00:00.000Z	30 \| good	1.3 \| good	6.535 \| good	32.13 \| good	0.186 \| good	1.809 \| good	0.155 \| good
2025-10-20T19:00:00.000Z	30 \| good	1.315 \| good	4.938 \| good	32.435 \| good	0.17 \| good	1.664 \| good	0.155 \| good
2025-10-20T20:00:00.000Z	30 \| good	1.161 \| good	9.537 \| good	31.91 \| good	0.177 \| good	1.666 \| good	0.155 \| good
2025-10-20T21:00:00.000Z	29 \| good	1.795 \| good	10.404 \| good	31.496 \| good	0.151 \| good	1.971 \| good	0.155 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.097 \| good	9.337 \| good	33.266 \| good	0.179 \| good	2.777 \| good	0.155 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.612 \| good	11.653 \| good	34 \| good	0.174 \| good	2.306 \| good	0.155 \| good
2025-10-21T00:00:00.000Z	26 \| good	2.751 \| good	12.13 \| good	27.891 \| good	0.157 \| good	3.243 \| good	0.155 \| good
2025-10-21T01:00:00.000Z	22 \| good	2.431 \| good	12.335 \| good	24.026 \| good	0.189 \| good	6.373 \| good	0.183 \| good
2025-10-21T02:00:00.000Z	19 \| good	2.787 \| good	14.554 \| good	20.678 \| good	0.157 \| good	10.203 \| good	0.268 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	10.28 \| good	45.64 \| good	5.078 \| good	2.428 \| good	23.643 \| good	0.268 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.601 \| good	20.417 \| good	11.536 \| good	0.191 \| good	17.887 \| good	0.433 \| good
2025-10-21T05:00:00.000Z	27 \| good	4.61 \| good	22.272 \| good	8.901 \| good	0.186 \| good	19.871 \| good	0.424 \| good
2025-10-21T06:00:00.000Z	38 \| good	6.547 \| good	29.484 \| good	6.326 \| good	0.175 \| good	19.563 \| good	0.425 \| good
2025-10-21T07:00:00.000Z	27 \| good	5.348 \| good	25.601 \| good	5.493 \| good	0.172 \| good	20.173 \| good	0.386 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.914 \| good	19.792 \| good	4.657 \| good	0.23 \| good	19.047 \| good	0.411 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.77 \| good	22.367 \| good	4.946 \| good	0.23 \| good	17.351 \| good	0.38 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.922 \| good	18.587 \| good	3.364 \| good	0.321 \| good	15.475 \| good	0.38 \| good
2025-10-21T11:00:00.000Z	52 \| moderate	10.26 \| good	22.636 \| good	2.246 \| good	0.332 \| good	14.768 \| good	0.422 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.866 \| good	23.835 \| good	3.072 \| good	0.395 \| good	15.381 \| good	0.589 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.835 \| good	25.455 \| good	3.185 \| good	0.42 \| good	17.812 \| good	0.688 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.835 \| good	25.455 \| good	3.185 \| good	0.42 \| good	17.812 \| good	0.688 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.496 \| good	23.732 \| good	28.002 \| good	1.682 \| good	4.883 \| good	0.192 \| good
2025-10-21T16:00:00.000Z	44 \| good	7.553 \| good	33.189 \| good	34.067 \| good	1.803 \| good	3.931 \| good	0.18 \| good
2025-10-21T17:00:00.000Z	37 \| good	5.557 \| good	24.074 \| good	39.622 \| good	1.923 \| good	2.978 \| good	0.167 \| good
2025-10-21T18:00:00.000Z	40 \| good	6.531 \| good	29.152 \| good	43.348 \| good	2.043 \| good	2.026 \| good	0.155 \| good
2025-10-21T19:00:00.000Z	43 \| good	6.862 \| good	30.17 \| good	46.082 \| good	1.925 \| good	2.295 \| good	0.154 \| good
2025-10-21T20:00:00.000Z	43 \| good	6.2 \| good	27.261 \| good	46.254 \| good	1.806 \| good	2.565 \| good	0.153 \| good
2025-10-21T21:00:00.000Z	41 \| good	5.446 \| good	23.092 \| good	44.088 \| good	1.687 \| good	2.834 \| good	0.152 \| good
2025-10-21T22:00:00.000Z	37 \| good	5.287 \| good	22.824 \| good	39.964 \| good	1.743 \| good	4.936 \| good	0.166 \| good
2025-10-21T23:00:00.000Z	34 \| good	5.132 \| good	21.958 \| good	36.933 \| good	1.799 \| good	7.037 \| good	0.18 \| good
2025-10-22T00:00:00.000Z	44 \| good	7.712 \| good	33.953 \| good	33.295 \| good	1.855 \| good	9.138 \| good	0.194 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.345 \| good	36.539 \| good	22.008 \| good	1.871 \| good	8.224 \| good	0.185 \| good
2025-10-22T02:00:00.000Z	52 \| moderate	10.49 \| good	46.958 \| good	15.524 \| good	1.888 \| good	7.31 \| good	0.177 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.341 \| good	32.597 \| good	23.406 \| good	1.904 \| good	6.396 \| good	0.168 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.166 \| good	22.073 \| good	29.388 \| good	1.822 \| good	6.334 \| good	0.169 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.108 \| good	26.996 \| good	22.491 \| good	1.74 \| good	6.272 \| good	0.171 \| good
2025-10-22T06:00:00.000Z	33 \| good	6.03 \| good	26.528 \| good	21.316 \| good	1.658 \| good	6.21 \| good	0.173 \| good
2025-10-22T07:00:00.000Z	27 \| good	5.01 \| good	21.805 \| good	22.988 \| good	1.864 \| good	5.735 \| good	0.166 \| good
2025-10-22T08:00:00.000Z	27 \| good	5.296 \| good	22.744 \| good	22.378 \| good	2.069 \| good	5.26 \| good	0.159 \| good
2025-10-22T09:00:00.000Z	27 \| good	5.058 \| good	21.777 \| good	21.701 \| good	2.275 \| good	4.785 \| good	0.152 \| good
2025-10-22T10:00:00.000Z	22 \| good	4.303 \| good	18.741 \| good	15.835 \| good	2.483 \| good	5.826 \| good	0.157 \| good
2025-10-22T11:00:00.000Z	22 \| good	3.806 \| good	16.669 \| good	10.503 \| good	2.692 \| good	6.866 \| good	0.162 \| good
2025-10-22T12:00:00.000Z	16 \| good	3.149 \| good	13.458 \| good	16.169 \| good	2.901 \| good	7.906 \| good	0.168 \| good
2025-10-22T13:00:00.000Z	22 \| good	3.56 \| good	15.596 \| good	24.159 \| good	2.824 \| good	6.218 \| good	0.158 \| good
2025-10-22T14:00:00.000Z	30 \| good	2.116 \| good	8.871 \| good	31.984 \| good	2.747 \| good	4.53 \| good	0.148 \| good
2025-10-22T15:00:00.000Z	31 \| good	1.886 \| good	7.958 \| good	33.987 \| good	2.67 \| good	2.841 \| good	0.139 \| good
2025-10-22T16:00:00.000Z	33 \| good	2.288 \| good	9.731 \| good	35.862 \| good	2.288 \| good	2.477 \| good	0.135 \| good
2025-10-22T17:00:00.000Z	33 \| good	1.687 \| good	7.034 \| good	36.468 \| good	1.907 \| good	2.112 \| good	0.132 \| good
2025-10-22T18:00:00.000Z	34 \| good	3.239 \| good	14.045 \| good	37.221 \| good	1.525 \| good	1.748 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	35 \| good	2.648 \| good	10.981 \| good	37.596 \| good	1.46 \| good	2.24 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	32 \| good	3.192 \| good	13.839 \| good	35.263 \| good	1.395 \| good	2.733 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	31 \| good	2.167 \| good	8.92 \| good	33.833 \| good	1.33 \| good	3.225 \| good	0.137 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.535 \| good	10.083 \| good	28.963 \| good	1.632 \| good	6.775 \| good	0.16 \| good
2025-10-22T23:00:00.000Z	25 \| good	2.466 \| good	10.045 \| good	27.329 \| good	1.933 \| good	10.324 \| good	0.183 \| good
2025-10-23T00:00:00.000Z	33 \| good	6.152 \| good	26.892 \| good	17.209 \| good	2.235 \| good	13.873 \| good	0.206 \| good
2025-10-23T01:00:00.000Z	38 \| good	6.94 \| good	30.823 \| good	11.114 \| good	2.342 \| good	12.987 \| good	0.198 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.132 \| good	31.75 \| good	11.678 \| good	2.449 \| good	12.101 \| good	0.189 \| good
2025-10-23T03:00:00.000Z	38 \| good	7.223 \| good	31.926 \| good	12.041 \| good	2.556 \| good	11.215 \| good	0.181 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.943 \| good	30.762 \| good	12.326 \| good	2.53 \| good	10.068 \| good	0.174 \| good
2025-10-23T05:00:00.000Z	44 \| good	7.915 \| good	34.778 \| good	10.779 \| good	2.504 \| good	8.922 \| good	0.167 \| good
2025-10-23T06:00:00.000Z	44 \| good	7.95 \| good	34.766 \| good	10.335 \| good	2.479 \| good	7.776 \| good	0.159 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.899 \| good	30.723 \| good	11.106 \| good	2.218 \| good	6.725 \| good	0.153 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.794 \| good	29.851 \| good	11.155 \| good	1.957 \| good	5.674 \| good	0.147 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.465 \| good	28.582 \| good	6.749 \| good	1.697 \| good	4.622 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.455 \| good	23.751 \| good	6.034 \| good	1.627 \| good	5.268 \| good	0.146 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.388 \| good	22.863 \| good	4.167 \| good	1.557 \| good	5.914 \| good	0.152 \| good
2025-10-23T12:00:00.000Z	27 \| good	4.745 \| good	20.577 \| good	9.491 \| good	1.487 \| good	6.559 \| good	0.158 \| good
2025-10-23T13:00:00.000Z	38 \| good	6.93 \| good	30.535 \| good	20.355 \| good	1.747 \| good	5.336 \| good	0.152 \| good
2025-10-23T14:00:00.000Z	28 \| good	4.652 \| good	20.031 \| good	30.258 \| good	2.006 \| good	4.113 \| good	0.146 \| good

Real-time air quality index in Westphalia, Maryland today

Common air pollutants in Westphalia, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Westphalia, Maryland air quality forecast and history

Empower business decisions with accurate air quality data

Westphalia, Maryland air quality map: Real-time AQI near you

Air quality in nearby cities

Largo, Maryland

Kettering, Maryland

Brock Hall, Maryland

Forestville, Maryland

Lake Arbor, Maryland

Summerfield, Maryland

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Westphalia, Maryland updated?

When did Westphalia, Maryland experience the worst air quality in the last 24 hours?

When did Westphalia, Maryland have its best air quality in the last 24 hours?

What is the real-time air quality index for Westphalia, Maryland?

Which pollutant is found most often in Westphalia, Maryland?

What can I do if the air quality in Westphalia, Maryland is poor?

What are the current PM2.5 levels in Westphalia, Maryland?

What are the current PM10 levels at Westphalia, Maryland?

What are the current carbon monoxide (CO) levels at Westphalia, Maryland?

What are the current sulfur dioxide (SO2) levels at Westphalia, Maryland?

What are the current ozone (O3) levels at Westphalia, Maryland?

What are the current nitrogen dioxide (NO2) levels at Westphalia, Maryland?

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 Westphalia, Maryland?

What are the current PM₁₀ levels at Westphalia, Maryland?

What are the current sulfur dioxide (SO₂) levels at Westphalia, Maryland?

What are the current ozone (O₃) levels at Westphalia, Maryland?

What are the current nitrogen dioxide (NO₂) levels at Westphalia, Maryland?