What is the current level of PM10 in La Plata, Maryland?

La Plata, Maryland currently has a PM10 concentration of 36.443 μg/m3.

What is the current level of sulfur dioxide (SO2) in La Plata, Maryland?

The current sulfur dioxide (SO2) concentration in La Plata, Maryland is 0.501 ppb.

What is the current level of ozone (O3) in La Plata, Maryland?

La Plata, Maryland currently has an ozone (O3) concentration of 42.687 ppm.

What is the current level of nitrogen dioxide (NO2) in La Plata, Maryland?

The current level of nitrogen dioxide (NO2) in La Plata, Maryland is 1.495 ppb.

Current air quality index in La Plata, Maryland today

Q: What is the PM2.5 concentration in La Plata, Maryland right now?

La Plata, Maryland currently has a PM2.5 concentration of 7.261 μg/m3.

Stay updated with real-time air quality in La Plata, 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

La Plata, Maryland

Last updated: ... (Local time)

Common air pollutants in La Plata, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.26 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

36.44 μg/m³

155

255

425

605+

Ozone (O₃)

42.69 ppb

201

201+

Sulfur Dioxide (SO₂)

0.50 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.50 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.15 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

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La Plata, Maryland

Scroll To Air Quality Map

Track live La Plata, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-07T21:00:00.000Z	38 \| good	7.061 \| good	25.753 \| good	28.374 \| good	0.377 \| good	3.011 \| good	0.222 \| good
2026-03-07T22:00:00.000Z	44 \| good	7.824 \| good	26.87 \| good	29.916 \| good	0.358 \| good	2.948 \| good	0.192 \| good
2026-03-07T23:00:00.000Z	33 \| good	5.854 \| good	22.839 \| good	26.357 \| good	0.373 \| good	2.865 \| good	0.206 \| good
2026-03-08T00:00:00.000Z	38 \| good	6.739 \| good	21.609 \| good	29.376 \| good	0.377 \| good	3.306 \| good	0.269 \| good
2026-03-08T01:00:00.000Z	38 \| good	7.036 \| good	25.022 \| good	26.75 \| good	0.352 \| good	4.253 \| good	0.348 \| good
2026-03-08T02:00:00.000Z	44 \| good	8.01 \| good	17.565 \| good	19.493 \| good	0.333 \| good	5.792 \| good	0.429 \| good
2026-03-08T03:00:00.000Z	38 \| good	6.965 \| good	31.034 \| good	25.282 \| good	0.942 \| good	2.666 \| good	0.114 \| good
2026-03-08T04:00:00.000Z	44 \| good	8.415 \| good	34.208 \| good	17.863 \| good	0.343 \| good	4.46 \| good	0.361 \| good
2026-03-08T05:00:00.000Z	52 \| moderate	10.35 \| good	49.11 \| good	23.44 \| good	0.364 \| good	6.874 \| good	0.4 \| good
2026-03-08T06:00:00.000Z	62 \| moderate	15.023 \| fine	76.882 \| fine	23.301 \| good	0.316 \| good	11.175 \| good	0.508 \| good
2026-03-08T07:00:00.000Z	54 \| moderate	10.677 \| good	45.956 \| good	25.033 \| good	0.36 \| good	12.526 \| good	0.549 \| good
2026-03-08T08:00:00.000Z	54 \| moderate	10.794 \| good	44.313 \| good	16.334 \| good	0.395 \| good	15.334 \| good	0.491 \| good
2026-03-08T09:00:00.000Z	52 \| moderate	9.99 \| good	46.018 \| good	19.123 \| good	0.396 \| good	6.925 \| good	0.405 \| good
2026-03-08T10:00:00.000Z	54 \| moderate	10.832 \| good	51.078 \| good	20.868 \| good	0.422 \| good	2.347 \| good	0.335 \| good
2026-03-08T11:00:00.000Z	56 \| moderate	12.451 \| fine	59.786 \| fine	17.091 \| good	0.456 \| good	2.286 \| good	0.277 \| good
2026-03-08T12:00:00.000Z	52 \| moderate	10.107 \| good	39.579 \| good	21.985 \| good	0.47 \| good	2.466 \| good	0.235 \| good
2026-03-08T13:00:00.000Z	44 \| good	8.402 \| good	45.292 \| good	21.387 \| good	0.457 \| good	3.317 \| good	0.235 \| good
2026-03-08T14:00:00.000Z	44 \| good	7.701 \| good	23.922 \| good	14.247 \| good	0.501 \| good	5.505 \| good	0.263 \| good
2026-03-08T15:00:00.000Z	52 \| moderate	10.161 \| good	29.991 \| good	19.918 \| good	0.584 \| good	4.605 \| good	0.373 \| good
2026-03-08T16:00:00.000Z	52 \| moderate	9.694 \| good	43.289 \| good	21.401 \| good	0.479 \| good	4.238 \| good	0.314 \| good
2026-03-08T17:00:00.000Z	56 \| moderate	11.952 \| good	53.051 \| good	18.783 \| good	0.468 \| good	3.147 \| good	0.256 \| good
2026-03-08T18:00:00.000Z	33 \| good	5.557 \| good	22.936 \| good	19.42 \| good	0.439 \| good	2.184 \| good	0.16 \| good
2026-03-08T19:00:00.000Z	27 \| good	4.741 \| good	16.999 \| good	26.903 \| good	0.439 \| good	1.564 \| good	0.151 \| good
2026-03-08T20:00:00.000Z	31 \| good	4.577 \| good	19.959 \| good	32.586 \| good	0.424 \| good	1.166 \| good	0.133 \| good
2026-03-08T21:00:00.000Z	31 \| good	2.677 \| good	9.098 \| good	33.392 \| good	0.421 \| good	1.491 \| good	0.145 \| good
2026-03-08T22:00:00.000Z	31 \| good	2.124 \| good	17.57 \| good	34.135 \| good	0.394 \| good	1.215 \| good	0.145 \| good
2026-03-08T23:00:00.000Z	31 \| good	3.614 \| good	16.739 \| good	33.986 \| good	0.286 \| good	2.974 \| good	0.145 \| good
2026-03-09T00:00:00.000Z	31 \| good	3.803 \| good	21.214 \| good	32.868 \| good	0.267 \| good	3.485 \| good	0.134 \| good
2026-03-09T01:00:00.000Z	29 \| good	5.036 \| good	23.319 \| good	31.32 \| good	0.305 \| good	4.123 \| good	0.207 \| good
2026-03-09T02:00:00.000Z	22 \| good	2.266 \| good	13.748 \| good	24.243 \| good	0.236 \| good	6.143 \| good	0.205 \| good
2026-03-09T03:00:00.000Z	49 \| good	9.171 \| good	41.007 \| good	24.345 \| good	1.249 \| good	11.43 \| good	0.263 \| good
2026-03-09T04:00:00.000Z	39 \| good	7.312 \| good	42.158 \| good	19.82 \| good	0.229 \| good	9.603 \| good	0.351 \| good
2026-03-09T05:00:00.000Z	33 \| good	5.932 \| good	24.176 \| good	21.13 \| good	0.234 \| good	6.136 \| good	0.413 \| good
2026-03-09T06:00:00.000Z	27 \| good	5.345 \| good	24.268 \| good	18.47 \| good	0.238 \| good	9.638 \| good	0.461 \| good
2026-03-09T07:00:00.000Z	33 \| good	6.081 \| good	27.808 \| good	18.692 \| good	0.26 \| good	16.361 \| good	0.464 \| good
2026-03-09T08:00:00.000Z	22 \| good	3.874 \| good	19.154 \| good	10.721 \| good	0.341 \| good	20.26 \| good	0.457 \| good
2026-03-09T09:00:00.000Z	27 \| good	5.413 \| good	29.098 \| good	17.716 \| good	0.328 \| good	20.644 \| good	0.454 \| good
2026-03-09T10:00:00.000Z	33 \| good	5.719 \| good	20.043 \| good	13.832 \| good	0.397 \| good	23.073 \| good	0.47 \| good
2026-03-09T11:00:00.000Z	27 \| good	4.738 \| good	17.18 \| good	13.262 \| good	0.526 \| good	22.361 \| good	0.49 \| good
2026-03-09T12:00:00.000Z	33 \| good	6.181 \| good	17.43 \| good	9.006 \| good	0.727 \| good	21.496 \| good	0.648 \| good
2026-03-09T13:00:00.000Z	49 \| good	8.773 \| good	38.739 \| good	7.222 \| good	0.731 \| good	20.46 \| good	0.768 \| good
2026-03-09T14:00:00.000Z	38 \| good	6.862 \| good	27.811 \| good	15.055 \| good	0.866 \| good	17.365 \| good	0.885 \| good
2026-03-09T15:00:00.000Z	33 \| good	6.326 \| good	18.338 \| good	19.389 \| good	0.863 \| good	11.316 \| good	0.747 \| good
2026-03-09T16:00:00.000Z	44 \| good	8.123 \| good	19.371 \| good	26.278 \| good	0.584 \| good	5.925 \| good	0.564 \| good
2026-03-09T17:00:00.000Z	58 \| moderate	13.155 \| fine	47.044 \| good	23.703 \| good	0.402 \| good	6.064 \| good	0.336 \| good
2026-03-09T18:00:00.000Z	33 \| good	2.6 \| good	12.74 \| good	35.77 \| good	0.459 \| good	5.334 \| good	0.155 \| good
2026-03-09T19:00:00.000Z	56 \| moderate	12.061 \| good	54.89 \| good	36.195 \| good	0.531 \| good	2.208 \| good	0.142 \| good
2026-03-09T20:00:00.000Z	40 \| good	7.261 \| good	36.443 \| good	42.687 \| good	0.501 \| good	1.495 \| good	0.154 \| good
2026-03-09T20:00:00.000Z	40 \| good	7.261 \| good	36.443 \| good	42.687 \| good	0.501 \| good	1.495 \| good	0.154 \| good
2026-03-09T21:00:00.000Z	39 \| good	6.114 \| good	26.905 \| good	42.221 \| good	0.814 \| good	1.507 \| good	0.146 \| good
2026-03-09T22:00:00.000Z	40 \| good	4.745 \| good	20.864 \| good	42.508 \| good	0.751 \| good	3.911 \| good	0.166 \| good
2026-03-09T23:00:00.000Z	35 \| good	4.377 \| good	18.994 \| good	37.762 \| good	0.688 \| good	6.315 \| good	0.185 \| good
2026-03-10T00:00:00.000Z	29 \| good	4.754 \| good	20.916 \| good	30.602 \| good	0.625 \| good	8.718 \| good	0.205 \| good
2026-03-10T01:00:00.000Z	33 \| good	6.212 \| good	27.916 \| good	28.3 \| good	0.621 \| good	8.065 \| good	0.199 \| good
2026-03-10T02:00:00.000Z	38 \| good	7.48 \| good	32.977 \| good	30.16 \| good	0.617 \| good	7.411 \| good	0.194 \| good
2026-03-10T03:00:00.000Z	49 \| good	8.512 \| good	36.97 \| good	28.961 \| good	0.613 \| good	6.757 \| good	0.188 \| good
2026-03-10T04:00:00.000Z	44 \| good	8.304 \| good	36.842 \| good	28.104 \| good	0.616 \| good	6.283 \| good	0.185 \| good
2026-03-10T05:00:00.000Z	49 \| good	9.15 \| good	40.914 \| good	24.103 \| good	0.62 \| good	5.808 \| good	0.181 \| good
2026-03-10T06:00:00.000Z	52 \| moderate	9.762 \| good	43.086 \| good	19.741 \| good	0.623 \| good	5.334 \| good	0.177 \| good
2026-03-10T07:00:00.000Z	54 \| moderate	11.256 \| good	49.941 \| good	12.993 \| good	0.67 \| good	5.638 \| good	0.177 \| good
2026-03-10T08:00:00.000Z	52 \| moderate	10.417 \| good	46.028 \| good	12.435 \| good	0.717 \| good	5.941 \| good	0.178 \| good
2026-03-10T09:00:00.000Z	44 \| good	7.848 \| good	34.077 \| good	16.61 \| good	0.764 \| good	6.244 \| good	0.178 \| good
2026-03-10T10:00:00.000Z	33 \| good	5.715 \| good	24.947 \| good	17.57 \| good	0.838 \| good	6.973 \| good	0.194 \| good
2026-03-10T11:00:00.000Z	27 \| good	5.191 \| good	22.038 \| good	16.312 \| good	0.912 \| good	7.701 \| good	0.21 \| good
2026-03-10T12:00:00.000Z	27 \| good	5.134 \| good	22.038 \| good	14.282 \| good	0.986 \| good	8.429 \| good	0.227 \| good
2026-03-10T13:00:00.000Z	38 \| good	7.056 \| good	31.041 \| good	18.402 \| good	1.007 \| good	7.549 \| good	0.225 \| good
2026-03-10T14:00:00.000Z	44 \| good	7.613 \| good	33.816 \| good	24.539 \| good	1.028 \| good	6.669 \| good	0.223 \| good
2026-03-10T15:00:00.000Z	38 \| good	6.878 \| good	30.044 \| good	34.032 \| good	1.049 \| good	5.789 \| good	0.22 \| good
2026-03-10T16:00:00.000Z	38 \| good	6.665 \| good	29.982 \| good	38.512 \| good	0.936 \| good	4.392 \| good	0.199 \| good
2026-03-10T17:00:00.000Z	38 \| good	6.115 \| good	27.04 \| good	41.284 \| good	0.822 \| good	2.995 \| good	0.178 \| good
2026-03-10T18:00:00.000Z	37 \| good	5.974 \| good	26.891 \| good	39.858 \| good	0.709 \| good	1.598 \| good	0.157 \| good
2026-03-10T19:00:00.000Z	39 \| good	6.669 \| good	29.852 \| good	41.757 \| good	0.671 \| good	1.61 \| good	0.155 \| good
2026-03-10T20:00:00.000Z	40 \| good	6.734 \| good	29.885 \| good	42.931 \| good	0.632 \| good	1.622 \| good	0.152 \| good
2026-03-10T21:00:00.000Z	44 \| good	7.752 \| good	33.957 \| good	41.232 \| good	0.593 \| good	1.633 \| good	0.15 \| good
2026-03-10T22:00:00.000Z	36 \| good	6.467 \| good	28.928 \| good	39.419 \| good	0.653 \| good	3.553 \| good	0.165 \| good
2026-03-10T23:00:00.000Z	44 \| good	8.357 \| good	36.856 \| good	38.068 \| good	0.714 \| good	5.472 \| good	0.181 \| good
2026-03-11T00:00:00.000Z	33 \| good	6.279 \| good	28 \| good	31.289 \| good	0.774 \| good	7.392 \| good	0.197 \| good
2026-03-11T01:00:00.000Z	38 \| good	7.199 \| good	31.989 \| good	28.291 \| good	0.827 \| good	7.056 \| good	0.193 \| good
2026-03-11T02:00:00.000Z	56 \| moderate	11.633 \| good	51.064 \| good	32.171 \| good	0.88 \| good	6.721 \| good	0.19 \| good
2026-03-11T03:00:00.000Z	56 \| moderate	11.766 \| good	52.074 \| good	29.93 \| good	0.933 \| good	6.385 \| good	0.186 \| good
2026-03-11T04:00:00.000Z	54 \| moderate	11.346 \| good	50.047 \| good	23.992 \| good	1.053 \| good	5.714 \| good	0.18 \| good
2026-03-11T05:00:00.000Z	56 \| moderate	11.82 \| good	52.111 \| good	19.707 \| good	1.173 \| good	5.042 \| good	0.173 \| good
2026-03-11T06:00:00.000Z	52 \| moderate	10.187 \| good	10.342 \| good	33.678 \| good	1.291 \| good	4.372 \| good	0.166 \| good
2026-03-11T07:00:00.000Z	60 \| moderate	13.527 \| fine	60.941 \| fine	17.948 \| good	1.321 \| good	4.054 \| good	0.161 \| good
2026-03-11T08:00:00.000Z	52 \| moderate	10.255 \| good	45.117 \| good	18.091 \| good	1.349 \| good	3.737 \| good	0.156 \| good
2026-03-11T09:00:00.000Z	44 \| good	8.315 \| good	36.91 \| good	14.364 \| good	1.377 \| good	3.42 \| good	0.151 \| good
2026-03-11T10:00:00.000Z	54 \| moderate	11.363 \| good	50.043 \| good	16.054 \| good	1.395 \| good	3.977 \| good	0.153 \| good
2026-03-11T11:00:00.000Z	38 \| good	7.074 \| good	31.058 \| good	17.71 \| good	1.412 \| good	4.535 \| good	0.156 \| good
2026-03-11T12:00:00.000Z	52 \| moderate	10.455 \| good	10.525 \| good	25.131 \| good	1.425 \| good	5.103 \| good	0.158 \| good
2026-03-11T13:00:00.000Z	52 \| moderate	9.92 \| good	9.973 \| good	26.165 \| good	1.409 \| good	4.55 \| good	0.159 \| good
2026-03-11T14:00:00.000Z	49 \| good	9.231 \| good	9.291 \| good	27.2 \| good	1.392 \| good	3.998 \| good	0.16 \| good
2026-03-11T15:00:00.000Z	49 \| good	8.771 \| good	8.834 \| good	28.234 \| good	1.375 \| good	3.446 \| good	0.161 \| good
2026-03-11T16:00:00.000Z	44 \| good	8.023 \| good	8.086 \| good	30.712 \| good	1.211 \| good	3.005 \| good	0.154 \| good
2026-03-11T17:00:00.000Z	33 \| good	6.177 \| good	27.069 \| good	23.295 \| good	1.055 \| good	2.562 \| good	0.147 \| good
2026-03-11T18:00:00.000Z	38 \| good	6.77 \| good	6.864 \| good	35.669 \| good	0.885 \| good	2.123 \| good	0.14 \| good
2026-03-11T19:00:00.000Z	38 \| good	6.735 \| good	6.865 \| good	36.514 \| good	0.812 \| good	1.984 \| good	0.137 \| good
2026-03-11T20:00:00.000Z	34 \| good	6.483 \| good	6.619 \| good	37.359 \| good	0.739 \| good	1.845 \| good	0.133 \| good

La Plata

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near La Plata, Maryland

0.14ppm

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 La Plata, Maryland get updated?

Air quality updates for La Plata, Maryland are available every hour.

What time in the past 24 hours saw the poorest air quality in La Plata, Maryland?

La Plata, Maryland experienced its worst air quality at 05:00:00, 2026-03-09.

When was air quality in La Plata, Maryland the best over the past 24 hours?

The best air quality in La Plata, Maryland was observed at 08:00:00 on 2026-03-09.

What is the air quality in La Plata, Maryland right now?

The air quality in La Plata, Maryland right now is Good, with an AQI of 40.

What pollutant is most frequently found in La Plata, Maryland?

In La Plata, Maryland, O3 is the most frequently found pollutant.

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

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

What is the PM_2.5 concentration in La Plata, Maryland right now?

La Plata, Maryland currently has a PM_2.5 concentration of 7.261 μg/m³.

What is the current level of PM₁₀ in La Plata, Maryland?

La Plata, Maryland currently has a PM₁₀ concentration of 36.443 μg/m³.

What is the current level of carbon monoxide (CO) in La Plata, Maryland?

The current carbon monoxide (CO) level in La Plata, Maryland is 0.154 ppm.

What is the current level of sulfur dioxide (SO₂) in La Plata, Maryland?

The current sulfur dioxide (SO₂) concentration in La Plata, Maryland is 0.501 ppb.

What is the current level of ozone (O₃) in La Plata, Maryland?

La Plata, Maryland currently has an ozone (O₃) concentration of 42.687 ppm.

What is the current level of nitrogen dioxide (NO₂) in La Plata, Maryland?

The current level of nitrogen dioxide (NO₂) in La Plata, Maryland is 1.495 ppb.

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