What is the current level of PM10 in Severna Park, Maryland?

Severna Park, Maryland currently has a PM10 concentration of 19.644 μg/m3.

What is the current level of sulfur dioxide (SO2) in Severna Park, Maryland?

The current sulfur dioxide (SO2) concentration in Severna Park, Maryland is 0.648 ppb.

What is the current level of ozone (O3) in Severna Park, Maryland?

Severna Park, Maryland currently has an ozone (O3) concentration of 3.665 ppm.

What is the current level of nitrogen dioxide (NO2) in Severna Park, Maryland?

The current level of nitrogen dioxide (NO2) in Severna Park, Maryland is 18.691 ppb.

Current air quality index in Severna Park, Maryland today

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

Stay updated with real-time air quality in Severna Park, 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

Severna Park, Maryland

Last updated: ... (Local time)

Common air pollutants in Severna Park, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.56 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.64 μg/m³

155

255

425

605+

Ozone (O₃)

3.67 ppb

201

201+

Sulfur Dioxide (SO₂)

0.65 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

18.69 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.58 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Severna Park, Maryland

Get Live Pollen Counts

Severna Park, Maryland

Scroll To Air Quality Map

Track live Severna Park, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T15:00:00.000Z	44 \| good	8.414 \| good	34.475 \| good	26.188 \| good	0.264 \| good	5.926 \| good	0.216 \| good
2025-10-19T16:00:00.000Z	49 \| good	8.74 \| good	35.582 \| good	30.273 \| good	0.328 \| good	4.757 \| good	0.196 \| good
2025-10-19T17:00:00.000Z	54 \| moderate	10.705 \| good	50.381 \| good	36.61 \| good	0.328 \| good	3.251 \| good	0.196 \| good
2025-10-19T18:00:00.000Z	52 \| moderate	10.057 \| good	45.238 \| good	39.359 \| good	0.294 \| good	3.859 \| good	0.162 \| good
2025-10-19T20:00:00.000Z	49 \| good	9.121 \| good	40.056 \| good	43.991 \| good	0.305 \| good	2.842 \| good	0.176 \| good
2025-10-19T21:00:00.000Z	49 \| good	9.193 \| good	38.626 \| good	42.632 \| good	0.265 \| good	2.794 \| good	0.162 \| good
2025-10-19T22:00:00.000Z	40 \| good	7.096 \| good	30.612 \| good	43.039 \| good	0.277 \| good	4.059 \| good	0.162 \| good
2025-10-19T23:00:00.000Z	49 \| good	9.065 \| good	41.208 \| good	38.663 \| good	0.318 \| good	4.515 \| good	0.162 \| good
2025-10-20T00:00:00.000Z	33 \| good	6.331 \| good	33.953 \| good	36.204 \| good	0.286 \| good	4.737 \| good	0.162 \| good
2025-10-20T01:00:00.000Z	38 \| good	6.22 \| good	28.486 \| good	41.021 \| good	0.254 \| good	5.426 \| good	0.195 \| good
2025-10-20T02:00:00.000Z	38 \| good	5.449 \| good	21.468 \| good	40.532 \| good	0.266 \| good	4.391 \| good	0.176 \| good
2025-10-20T03:00:00.000Z	36 \| good	4.072 \| good	22.005 \| good	38.889 \| good	0.257 \| good	3.894 \| good	0.127 \| good
2025-10-20T04:00:00.000Z	36 \| good	4.611 \| good	15.51 \| good	39.202 \| good	0.223 \| good	3.224 \| good	0.127 \| good
2025-10-20T05:00:00.000Z	34 \| good	2.562 \| good	9.652 \| good	36.827 \| good	0.215 \| good	3.525 \| good	0.127 \| good
2025-10-20T06:00:00.000Z	32 \| good	2.405 \| good	11.824 \| good	34.986 \| good	0.21 \| good	3.641 \| good	0.127 \| good
2025-10-20T07:00:00.000Z	34 \| good	2.65 \| good	13.878 \| good	36.544 \| good	0.217 \| good	3.477 \| good	0.127 \| good
2025-10-20T08:00:00.000Z	25 \| good	2.062 \| good	9.727 \| good	27.422 \| good	0.212 \| good	5.201 \| good	0.127 \| good
2025-10-20T09:00:00.000Z	26 \| good	3.011 \| good	9.649 \| good	28.013 \| good	0.194 \| good	6.01 \| good	0.141 \| good
2025-10-20T10:00:00.000Z	24 \| good	1.577 \| good	7.464 \| good	26.126 \| good	0.195 \| good	4.437 \| good	0.127 \| good
2025-10-20T11:00:00.000Z	24 \| good	1.065 \| good	6.779 \| good	25.681 \| good	0.196 \| good	5.891 \| good	0.127 \| good
2025-10-20T12:00:00.000Z	22 \| good	2.276 \| good	6.89 \| good	23.781 \| good	0.225 \| good	6.476 \| good	0.145 \| good
2025-10-20T13:00:00.000Z	21 \| good	1.644 \| good	10.768 \| good	23.5 \| good	0.232 \| good	7.003 \| good	0.173 \| good
2025-10-20T14:00:00.000Z	25 \| good	2.964 \| good	14.846 \| good	27.122 \| good	0.218 \| good	5.455 \| good	0.141 \| good
2025-10-20T15:00:00.000Z	25 \| good	2.018 \| good	6.418 \| good	27.283 \| good	0.257 \| good	3.307 \| good	0.128 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.716 \| good	7.232 \| good	28.193 \| good	0.278 \| good	3.458 \| good	0.117 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.86 \| good	8.969 \| good	28.713 \| good	0.273 \| good	3.24 \| good	0.141 \| good
2025-10-20T18:00:00.000Z	27 \| good	1.483 \| good	4.99 \| good	29.28 \| good	0.229 \| good	2.967 \| good	0.135 \| good
2025-10-20T19:00:00.000Z	30 \| good	1.204 \| good	4.966 \| good	31.832 \| good	0.173 \| good	2.994 \| good	0.135 \| good
2025-10-20T20:00:00.000Z	31 \| good	2.553 \| good	9.589 \| good	33.91 \| good	0.185 \| good	2.988 \| good	0.135 \| good
2025-10-20T21:00:00.000Z	30 \| good	1.614 \| good	8.779 \| good	32.089 \| good	0.143 \| good	3.034 \| good	0.135 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.17 \| good	12.689 \| good	32.173 \| good	0.177 \| good	4.331 \| good	0.135 \| good
2025-10-20T23:00:00.000Z	29 \| good	3.21 \| good	13.039 \| good	31.295 \| good	0.187 \| good	7.774 \| good	0.128 \| good
2025-10-21T00:00:00.000Z	28 \| good	3.94 \| good	14.356 \| good	30.063 \| good	0.177 \| good	9.371 \| good	0.128 \| good
2025-10-21T01:00:00.000Z	25 \| good	2.968 \| good	13.483 \| good	27.144 \| good	0.167 \| good	13.557 \| good	0.149 \| good
2025-10-21T02:00:00.000Z	20 \| good	2.439 \| good	10.617 \| good	21.812 \| good	0.154 \| good	14.7 \| good	0.344 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	10.335 \| good	45.616 \| good	14.092 \| good	1.917 \| good	15.738 \| good	0.212 \| good
2025-10-21T04:00:00.000Z	27 \| good	5.486 \| good	29.341 \| good	13.046 \| good	0.214 \| good	14.819 \| good	0.285 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.285 \| good	19.543 \| good	11.058 \| good	0.217 \| good	16.198 \| good	0.304 \| good
2025-10-21T06:00:00.000Z	27 \| good	5.037 \| good	19.051 \| good	13.223 \| good	0.206 \| good	16.748 \| good	0.36 \| good
2025-10-21T07:00:00.000Z	44 \| good	7.725 \| good	18.949 \| good	11.435 \| good	0.208 \| good	16.218 \| good	0.332 \| good
2025-10-21T08:00:00.000Z	38 \| good	7.326 \| good	28.63 \| good	6.221 \| good	0.28 \| good	15.394 \| good	0.347 \| good
2025-10-21T09:00:00.000Z	38 \| good	6.516 \| good	28.585 \| good	5.374 \| good	0.282 \| good	16.117 \| good	0.342 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.886 \| good	20.426 \| good	7.208 \| good	0.445 \| good	15.504 \| good	0.406 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.736 \| good	16.697 \| good	4.221 \| good	0.534 \| good	16.04 \| good	0.445 \| good
2025-10-21T12:00:00.000Z	54 \| moderate	10.925 \| good	25.936 \| good	2.618 \| good	0.694 \| good	19.455 \| good	0.535 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.556 \| good	19.644 \| good	3.665 \| good	0.648 \| good	18.691 \| good	0.576 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.556 \| good	19.644 \| good	3.665 \| good	0.648 \| good	18.691 \| good	0.576 \| good
2025-10-21T15:00:00.000Z	28 \| good	5.428 \| good	23.083 \| good	29.695 \| good	2.157 \| good	6.133 \| good	0.191 \| good
2025-10-21T16:00:00.000Z	38 \| good	6.781 \| good	30.043 \| good	36.401 \| good	2.21 \| good	4.979 \| good	0.181 \| good
2025-10-21T17:00:00.000Z	38 \| good	6.485 \| good	28.911 \| good	40.885 \| good	2.262 \| good	3.824 \| good	0.171 \| good
2025-10-21T18:00:00.000Z	43 \| good	6.733 \| good	29.733 \| good	45.666 \| good	2.315 \| good	2.67 \| good	0.16 \| good
2025-10-21T19:00:00.000Z	44 \| good	6.867 \| good	30.605 \| good	47.433 \| good	2.139 \| good	2.954 \| good	0.162 \| good
2025-10-21T20:00:00.000Z	43 \| good	6.691 \| good	29.599 \| good	46.416 \| good	1.963 \| good	3.239 \| good	0.164 \| good
2025-10-21T21:00:00.000Z	39 \| good	6.034 \| good	26.686 \| good	42.142 \| good	1.787 \| good	3.524 \| good	0.166 \| good
2025-10-21T22:00:00.000Z	37 \| good	5.582 \| good	24.255 \| good	40.007 \| good	1.728 \| good	5.651 \| good	0.178 \| good
2025-10-21T23:00:00.000Z	36 \| good	5.027 \| good	21.838 \| good	38.993 \| good	1.669 \| good	7.778 \| good	0.191 \| good
2025-10-22T00:00:00.000Z	34 \| good	6.468 \| good	28.733 \| good	36.783 \| good	1.61 \| good	9.904 \| good	0.203 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.21 \| good	36.321 \| good	29.747 \| good	1.597 \| good	9.195 \| good	0.195 \| good
2025-10-22T02:00:00.000Z	54 \| moderate	10.721 \| good	47.748 \| good	21.292 \| good	1.583 \| good	8.485 \| good	0.186 \| good
2025-10-22T03:00:00.000Z	54 \| moderate	11.144 \| good	49.796 \| good	20.412 \| good	1.569 \| good	7.776 \| good	0.178 \| good
2025-10-22T04:00:00.000Z	38 \| good	6.645 \| good	29.457 \| good	28.966 \| good	1.552 \| good	7.339 \| good	0.176 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.779 \| good	25.005 \| good	30.172 \| good	1.535 \| good	6.902 \| good	0.174 \| good
2025-10-22T06:00:00.000Z	33 \| good	5.678 \| good	24.886 \| good	28.228 \| good	1.518 \| good	6.465 \| good	0.173 \| good
2025-10-22T07:00:00.000Z	27 \| good	4.959 \| good	21.589 \| good	26.937 \| good	1.824 \| good	5.852 \| good	0.167 \| good
2025-10-22T08:00:00.000Z	27 \| good	5.114 \| good	21.878 \| good	26.181 \| good	2.129 \| good	5.239 \| good	0.16 \| good
2025-10-22T09:00:00.000Z	27 \| good	5.022 \| good	21.751 \| good	23.57 \| good	2.434 \| good	4.626 \| good	0.154 \| good
2025-10-22T10:00:00.000Z	27 \| good	4.529 \| good	19.666 \| good	21.05 \| good	2.799 \| good	5.116 \| good	0.154 \| good
2025-10-22T11:00:00.000Z	22 \| good	4.482 \| good	19.535 \| good	15.058 \| good	3.163 \| good	5.606 \| good	0.154 \| good
2025-10-22T12:00:00.000Z	27 \| good	5.284 \| good	22.746 \| good	15.438 \| good	3.528 \| good	6.096 \| good	0.154 \| good
2025-10-22T13:00:00.000Z	27 \| good	5.237 \| good	22.615 \| good	24.271 \| good	3.312 \| good	4.957 \| good	0.149 \| good
2025-10-22T14:00:00.000Z	31 \| good	2.713 \| good	11.168 \| good	32.793 \| good	3.096 \| good	3.817 \| good	0.143 \| good
2025-10-22T15:00:00.000Z	33 \| good	2.368 \| good	9.911 \| good	35.557 \| good	2.88 \| good	2.678 \| good	0.138 \| good
2025-10-22T16:00:00.000Z	34 \| good	2.966 \| good	12.077 \| good	36.98 \| good	2.635 \| good	2.375 \| good	0.135 \| good
2025-10-22T17:00:00.000Z	35 \| good	3.215 \| good	13.983 \| good	37.643 \| good	2.39 \| good	2.072 \| good	0.132 \| good
2025-10-22T18:00:00.000Z	36 \| good	3.877 \| good	17.121 \| good	38.576 \| good	2.146 \| good	1.769 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	35 \| good	3.515 \| good	15.251 \| good	37.828 \| good	2.042 \| good	2.064 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	31 \| good	3.458 \| good	15.08 \| good	34.345 \| good	1.938 \| good	2.359 \| good	0.132 \| good
2025-10-22T21:00:00.000Z	31 \| good	2.636 \| good	10.614 \| good	33.87 \| good	1.834 \| good	2.653 \| good	0.133 \| good
2025-10-22T22:00:00.000Z	28 \| good	2.593 \| good	10.448 \| good	29.961 \| good	1.927 \| good	4.366 \| good	0.144 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.096 \| good	13.209 \| good	28.952 \| good	2.021 \| good	6.078 \| good	0.154 \| good
2025-10-23T00:00:00.000Z	27 \| good	5.27 \| good	22.616 \| good	27.427 \| good	2.114 \| good	7.791 \| good	0.165 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.29 \| good	28.09 \| good	24.847 \| good	2.273 \| good	7.548 \| good	0.162 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.977 \| good	26.663 \| good	23.043 \| good	2.432 \| good	7.306 \| good	0.16 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.579 \| good	29.293 \| good	20.45 \| good	2.591 \| good	7.064 \| good	0.157 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.995 \| good	31.084 \| good	19.562 \| good	2.74 \| good	6.653 \| good	0.154 \| good
2025-10-23T05:00:00.000Z	44 \| good	7.934 \| good	34.714 \| good	19.463 \| good	2.889 \| good	6.243 \| good	0.15 \| good
2025-10-23T06:00:00.000Z	44 \| good	7.851 \| good	34.465 \| good	19.463 \| good	3.038 \| good	5.832 \| good	0.147 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.783 \| good	30.295 \| good	17.817 \| good	2.84 \| good	5.466 \| good	0.144 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.797 \| good	30.264 \| good	15.893 \| good	2.641 \| good	5.099 \| good	0.142 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.568 \| good	29.24 \| good	12.913 \| good	2.443 \| good	4.733 \| good	0.139 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.941 \| good	26.083 \| good	10.885 \| good	2.309 \| good	5.324 \| good	0.145 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.824 \| good	25.216 \| good	8.791 \| good	2.174 \| good	5.915 \| good	0.15 \| good
2025-10-23T12:00:00.000Z	33 \| good	5.956 \| good	25.973 \| good	10.871 \| good	2.039 \| good	6.507 \| good	0.155 \| good
2025-10-23T13:00:00.000Z	44 \| good	7.766 \| good	33.943 \| good	19.686 \| good	2.24 \| good	5.412 \| good	0.152 \| good
2025-10-23T14:00:00.000Z	33 \| good	5.59 \| good	24.016 \| good	29.704 \| good	2.441 \| good	4.317 \| good	0.149 \| good

Severna Park

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Severna Park, Maryland

0.60ppm

How accurate is Maryland, USA air quality data?

The air quality data for Maryland, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for Severna Park, Maryland get updated?

Air quality updates for Severna Park, Maryland are available every hour.

What time in the past 24 hours saw the poorest air quality in Severna Park, Maryland?

Severna Park, Maryland experienced its worst air quality at 12:00:00, 2025-10-21.

When was air quality in Severna Park, Maryland the best over the past 24 hours?

The best air quality in Severna Park, Maryland was observed at 02:00:00 on 2025-10-21.

What is the air quality in Severna Park, Maryland right now?

The air quality in Severna Park, Maryland right now is Good, with an AQI of 33.

What pollutant is most frequently found in Severna Park, Maryland?

In Severna Park, Maryland, PM2.5 is the most frequently found pollutant.

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

When air quality in Severna Park, Maryland is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Severna Park, Maryland right now?

Severna Park, Maryland currently has a PM_2.5 concentration of 5.556 μg/m³.

What is the current level of PM₁₀ in Severna Park, Maryland?

Severna Park, Maryland currently has a PM₁₀ concentration of 19.644 μg/m³.

What is the current level of carbon monoxide (CO) in Severna Park, Maryland?

The current carbon monoxide (CO) level in Severna Park, Maryland is 0.576 ppm.

What is the current level of sulfur dioxide (SO₂) in Severna Park, Maryland?

The current sulfur dioxide (SO₂) concentration in Severna Park, Maryland is 0.648 ppb.

What is the current level of ozone (O₃) in Severna Park, Maryland?

Severna Park, Maryland currently has an ozone (O₃) concentration of 3.665 ppm.

What is the current level of nitrogen dioxide (NO₂) in Severna Park, Maryland?

The current level of nitrogen dioxide (NO₂) in Severna Park, Maryland is 18.691 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T15:00:00.000Z	44 \| good	8.414 \| good	34.475 \| good	26.188 \| good	0.264 \| good	5.926 \| good	0.216 \| good
2025-10-19T16:00:00.000Z	49 \| good	8.74 \| good	35.582 \| good	30.273 \| good	0.328 \| good	4.757 \| good	0.196 \| good
2025-10-19T17:00:00.000Z	54 \| moderate	10.705 \| good	50.381 \| good	36.61 \| good	0.328 \| good	3.251 \| good	0.196 \| good
2025-10-19T18:00:00.000Z	52 \| moderate	10.057 \| good	45.238 \| good	39.359 \| good	0.294 \| good	3.859 \| good	0.162 \| good
2025-10-19T20:00:00.000Z	49 \| good	9.121 \| good	40.056 \| good	43.991 \| good	0.305 \| good	2.842 \| good	0.176 \| good
2025-10-19T21:00:00.000Z	49 \| good	9.193 \| good	38.626 \| good	42.632 \| good	0.265 \| good	2.794 \| good	0.162 \| good
2025-10-19T22:00:00.000Z	40 \| good	7.096 \| good	30.612 \| good	43.039 \| good	0.277 \| good	4.059 \| good	0.162 \| good
2025-10-19T23:00:00.000Z	49 \| good	9.065 \| good	41.208 \| good	38.663 \| good	0.318 \| good	4.515 \| good	0.162 \| good
2025-10-20T00:00:00.000Z	33 \| good	6.331 \| good	33.953 \| good	36.204 \| good	0.286 \| good	4.737 \| good	0.162 \| good
2025-10-20T01:00:00.000Z	38 \| good	6.22 \| good	28.486 \| good	41.021 \| good	0.254 \| good	5.426 \| good	0.195 \| good
2025-10-20T02:00:00.000Z	38 \| good	5.449 \| good	21.468 \| good	40.532 \| good	0.266 \| good	4.391 \| good	0.176 \| good
2025-10-20T03:00:00.000Z	36 \| good	4.072 \| good	22.005 \| good	38.889 \| good	0.257 \| good	3.894 \| good	0.127 \| good
2025-10-20T04:00:00.000Z	36 \| good	4.611 \| good	15.51 \| good	39.202 \| good	0.223 \| good	3.224 \| good	0.127 \| good
2025-10-20T05:00:00.000Z	34 \| good	2.562 \| good	9.652 \| good	36.827 \| good	0.215 \| good	3.525 \| good	0.127 \| good
2025-10-20T06:00:00.000Z	32 \| good	2.405 \| good	11.824 \| good	34.986 \| good	0.21 \| good	3.641 \| good	0.127 \| good
2025-10-20T07:00:00.000Z	34 \| good	2.65 \| good	13.878 \| good	36.544 \| good	0.217 \| good	3.477 \| good	0.127 \| good
2025-10-20T08:00:00.000Z	25 \| good	2.062 \| good	9.727 \| good	27.422 \| good	0.212 \| good	5.201 \| good	0.127 \| good
2025-10-20T09:00:00.000Z	26 \| good	3.011 \| good	9.649 \| good	28.013 \| good	0.194 \| good	6.01 \| good	0.141 \| good
2025-10-20T10:00:00.000Z	24 \| good	1.577 \| good	7.464 \| good	26.126 \| good	0.195 \| good	4.437 \| good	0.127 \| good
2025-10-20T11:00:00.000Z	24 \| good	1.065 \| good	6.779 \| good	25.681 \| good	0.196 \| good	5.891 \| good	0.127 \| good
2025-10-20T12:00:00.000Z	22 \| good	2.276 \| good	6.89 \| good	23.781 \| good	0.225 \| good	6.476 \| good	0.145 \| good
2025-10-20T13:00:00.000Z	21 \| good	1.644 \| good	10.768 \| good	23.5 \| good	0.232 \| good	7.003 \| good	0.173 \| good
2025-10-20T14:00:00.000Z	25 \| good	2.964 \| good	14.846 \| good	27.122 \| good	0.218 \| good	5.455 \| good	0.141 \| good
2025-10-20T15:00:00.000Z	25 \| good	2.018 \| good	6.418 \| good	27.283 \| good	0.257 \| good	3.307 \| good	0.128 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.716 \| good	7.232 \| good	28.193 \| good	0.278 \| good	3.458 \| good	0.117 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.86 \| good	8.969 \| good	28.713 \| good	0.273 \| good	3.24 \| good	0.141 \| good
2025-10-20T18:00:00.000Z	27 \| good	1.483 \| good	4.99 \| good	29.28 \| good	0.229 \| good	2.967 \| good	0.135 \| good
2025-10-20T19:00:00.000Z	30 \| good	1.204 \| good	4.966 \| good	31.832 \| good	0.173 \| good	2.994 \| good	0.135 \| good
2025-10-20T20:00:00.000Z	31 \| good	2.553 \| good	9.589 \| good	33.91 \| good	0.185 \| good	2.988 \| good	0.135 \| good
2025-10-20T21:00:00.000Z	30 \| good	1.614 \| good	8.779 \| good	32.089 \| good	0.143 \| good	3.034 \| good	0.135 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.17 \| good	12.689 \| good	32.173 \| good	0.177 \| good	4.331 \| good	0.135 \| good
2025-10-20T23:00:00.000Z	29 \| good	3.21 \| good	13.039 \| good	31.295 \| good	0.187 \| good	7.774 \| good	0.128 \| good
2025-10-21T00:00:00.000Z	28 \| good	3.94 \| good	14.356 \| good	30.063 \| good	0.177 \| good	9.371 \| good	0.128 \| good
2025-10-21T01:00:00.000Z	25 \| good	2.968 \| good	13.483 \| good	27.144 \| good	0.167 \| good	13.557 \| good	0.149 \| good
2025-10-21T02:00:00.000Z	20 \| good	2.439 \| good	10.617 \| good	21.812 \| good	0.154 \| good	14.7 \| good	0.344 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	10.335 \| good	45.616 \| good	14.092 \| good	1.917 \| good	15.738 \| good	0.212 \| good
2025-10-21T04:00:00.000Z	27 \| good	5.486 \| good	29.341 \| good	13.046 \| good	0.214 \| good	14.819 \| good	0.285 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.285 \| good	19.543 \| good	11.058 \| good	0.217 \| good	16.198 \| good	0.304 \| good
2025-10-21T06:00:00.000Z	27 \| good	5.037 \| good	19.051 \| good	13.223 \| good	0.206 \| good	16.748 \| good	0.36 \| good
2025-10-21T07:00:00.000Z	44 \| good	7.725 \| good	18.949 \| good	11.435 \| good	0.208 \| good	16.218 \| good	0.332 \| good
2025-10-21T08:00:00.000Z	38 \| good	7.326 \| good	28.63 \| good	6.221 \| good	0.28 \| good	15.394 \| good	0.347 \| good
2025-10-21T09:00:00.000Z	38 \| good	6.516 \| good	28.585 \| good	5.374 \| good	0.282 \| good	16.117 \| good	0.342 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.886 \| good	20.426 \| good	7.208 \| good	0.445 \| good	15.504 \| good	0.406 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.736 \| good	16.697 \| good	4.221 \| good	0.534 \| good	16.04 \| good	0.445 \| good
2025-10-21T12:00:00.000Z	54 \| moderate	10.925 \| good	25.936 \| good	2.618 \| good	0.694 \| good	19.455 \| good	0.535 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.556 \| good	19.644 \| good	3.665 \| good	0.648 \| good	18.691 \| good	0.576 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.556 \| good	19.644 \| good	3.665 \| good	0.648 \| good	18.691 \| good	0.576 \| good
2025-10-21T15:00:00.000Z	28 \| good	5.428 \| good	23.083 \| good	29.695 \| good	2.157 \| good	6.133 \| good	0.191 \| good
2025-10-21T16:00:00.000Z	38 \| good	6.781 \| good	30.043 \| good	36.401 \| good	2.21 \| good	4.979 \| good	0.181 \| good
2025-10-21T17:00:00.000Z	38 \| good	6.485 \| good	28.911 \| good	40.885 \| good	2.262 \| good	3.824 \| good	0.171 \| good
2025-10-21T18:00:00.000Z	43 \| good	6.733 \| good	29.733 \| good	45.666 \| good	2.315 \| good	2.67 \| good	0.16 \| good
2025-10-21T19:00:00.000Z	44 \| good	6.867 \| good	30.605 \| good	47.433 \| good	2.139 \| good	2.954 \| good	0.162 \| good
2025-10-21T20:00:00.000Z	43 \| good	6.691 \| good	29.599 \| good	46.416 \| good	1.963 \| good	3.239 \| good	0.164 \| good
2025-10-21T21:00:00.000Z	39 \| good	6.034 \| good	26.686 \| good	42.142 \| good	1.787 \| good	3.524 \| good	0.166 \| good
2025-10-21T22:00:00.000Z	37 \| good	5.582 \| good	24.255 \| good	40.007 \| good	1.728 \| good	5.651 \| good	0.178 \| good
2025-10-21T23:00:00.000Z	36 \| good	5.027 \| good	21.838 \| good	38.993 \| good	1.669 \| good	7.778 \| good	0.191 \| good
2025-10-22T00:00:00.000Z	34 \| good	6.468 \| good	28.733 \| good	36.783 \| good	1.61 \| good	9.904 \| good	0.203 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.21 \| good	36.321 \| good	29.747 \| good	1.597 \| good	9.195 \| good	0.195 \| good
2025-10-22T02:00:00.000Z	54 \| moderate	10.721 \| good	47.748 \| good	21.292 \| good	1.583 \| good	8.485 \| good	0.186 \| good
2025-10-22T03:00:00.000Z	54 \| moderate	11.144 \| good	49.796 \| good	20.412 \| good	1.569 \| good	7.776 \| good	0.178 \| good
2025-10-22T04:00:00.000Z	38 \| good	6.645 \| good	29.457 \| good	28.966 \| good	1.552 \| good	7.339 \| good	0.176 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.779 \| good	25.005 \| good	30.172 \| good	1.535 \| good	6.902 \| good	0.174 \| good
2025-10-22T06:00:00.000Z	33 \| good	5.678 \| good	24.886 \| good	28.228 \| good	1.518 \| good	6.465 \| good	0.173 \| good
2025-10-22T07:00:00.000Z	27 \| good	4.959 \| good	21.589 \| good	26.937 \| good	1.824 \| good	5.852 \| good	0.167 \| good
2025-10-22T08:00:00.000Z	27 \| good	5.114 \| good	21.878 \| good	26.181 \| good	2.129 \| good	5.239 \| good	0.16 \| good
2025-10-22T09:00:00.000Z	27 \| good	5.022 \| good	21.751 \| good	23.57 \| good	2.434 \| good	4.626 \| good	0.154 \| good
2025-10-22T10:00:00.000Z	27 \| good	4.529 \| good	19.666 \| good	21.05 \| good	2.799 \| good	5.116 \| good	0.154 \| good
2025-10-22T11:00:00.000Z	22 \| good	4.482 \| good	19.535 \| good	15.058 \| good	3.163 \| good	5.606 \| good	0.154 \| good
2025-10-22T12:00:00.000Z	27 \| good	5.284 \| good	22.746 \| good	15.438 \| good	3.528 \| good	6.096 \| good	0.154 \| good
2025-10-22T13:00:00.000Z	27 \| good	5.237 \| good	22.615 \| good	24.271 \| good	3.312 \| good	4.957 \| good	0.149 \| good
2025-10-22T14:00:00.000Z	31 \| good	2.713 \| good	11.168 \| good	32.793 \| good	3.096 \| good	3.817 \| good	0.143 \| good
2025-10-22T15:00:00.000Z	33 \| good	2.368 \| good	9.911 \| good	35.557 \| good	2.88 \| good	2.678 \| good	0.138 \| good
2025-10-22T16:00:00.000Z	34 \| good	2.966 \| good	12.077 \| good	36.98 \| good	2.635 \| good	2.375 \| good	0.135 \| good
2025-10-22T17:00:00.000Z	35 \| good	3.215 \| good	13.983 \| good	37.643 \| good	2.39 \| good	2.072 \| good	0.132 \| good
2025-10-22T18:00:00.000Z	36 \| good	3.877 \| good	17.121 \| good	38.576 \| good	2.146 \| good	1.769 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	35 \| good	3.515 \| good	15.251 \| good	37.828 \| good	2.042 \| good	2.064 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	31 \| good	3.458 \| good	15.08 \| good	34.345 \| good	1.938 \| good	2.359 \| good	0.132 \| good
2025-10-22T21:00:00.000Z	31 \| good	2.636 \| good	10.614 \| good	33.87 \| good	1.834 \| good	2.653 \| good	0.133 \| good
2025-10-22T22:00:00.000Z	28 \| good	2.593 \| good	10.448 \| good	29.961 \| good	1.927 \| good	4.366 \| good	0.144 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.096 \| good	13.209 \| good	28.952 \| good	2.021 \| good	6.078 \| good	0.154 \| good
2025-10-23T00:00:00.000Z	27 \| good	5.27 \| good	22.616 \| good	27.427 \| good	2.114 \| good	7.791 \| good	0.165 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.29 \| good	28.09 \| good	24.847 \| good	2.273 \| good	7.548 \| good	0.162 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.977 \| good	26.663 \| good	23.043 \| good	2.432 \| good	7.306 \| good	0.16 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.579 \| good	29.293 \| good	20.45 \| good	2.591 \| good	7.064 \| good	0.157 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.995 \| good	31.084 \| good	19.562 \| good	2.74 \| good	6.653 \| good	0.154 \| good
2025-10-23T05:00:00.000Z	44 \| good	7.934 \| good	34.714 \| good	19.463 \| good	2.889 \| good	6.243 \| good	0.15 \| good
2025-10-23T06:00:00.000Z	44 \| good	7.851 \| good	34.465 \| good	19.463 \| good	3.038 \| good	5.832 \| good	0.147 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.783 \| good	30.295 \| good	17.817 \| good	2.84 \| good	5.466 \| good	0.144 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.797 \| good	30.264 \| good	15.893 \| good	2.641 \| good	5.099 \| good	0.142 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.568 \| good	29.24 \| good	12.913 \| good	2.443 \| good	4.733 \| good	0.139 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.941 \| good	26.083 \| good	10.885 \| good	2.309 \| good	5.324 \| good	0.145 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.824 \| good	25.216 \| good	8.791 \| good	2.174 \| good	5.915 \| good	0.15 \| good
2025-10-23T12:00:00.000Z	33 \| good	5.956 \| good	25.973 \| good	10.871 \| good	2.039 \| good	6.507 \| good	0.155 \| good
2025-10-23T13:00:00.000Z	44 \| good	7.766 \| good	33.943 \| good	19.686 \| good	2.24 \| good	5.412 \| good	0.152 \| good
2025-10-23T14:00:00.000Z	33 \| good	5.59 \| good	24.016 \| good	29.704 \| good	2.441 \| good	4.317 \| good	0.149 \| good

Current air quality index in Severna Park, Maryland today

Common air pollutants in Severna Park, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Severna Park, Maryland air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Severna Park, Maryland

Air quality in nearby cities

Arnold, Maryland

Lake Shore, Maryland

Parole, Maryland

Pasadena, Maryland

Riviera Beach, Maryland

Annapolis, Maryland

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for Severna Park, Maryland get updated?

What time in the past 24 hours saw the poorest air quality in Severna Park, Maryland?

When was air quality in Severna Park, Maryland the best over the past 24 hours?

What is the air quality in Severna Park, Maryland right now?

What pollutant is most frequently found in Severna Park, Maryland?

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

What is the PM2.5 concentration in Severna Park, Maryland right now?

What is the current level of PM10 in Severna Park, Maryland?

What is the current level of carbon monoxide (CO) in Severna Park, Maryland?

What is the current level of sulfur dioxide (SO2) in Severna Park, Maryland?

What is the current level of ozone (O3) in Severna Park, Maryland?

What is the current level of nitrogen dioxide (NO2) in Severna Park, Maryland?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Severna Park, Maryland right now?

What is the current level of PM₁₀ in Severna Park, Maryland?

What is the current level of sulfur dioxide (SO₂) in Severna Park, Maryland?

What is the current level of ozone (O₃) in Severna Park, Maryland?

What is the current level of nitrogen dioxide (NO₂) in Severna Park, Maryland?