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

La Plata, Maryland currently has a PM10 concentration of 15.77 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 0.308 ppb.

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

La Plata, Maryland currently has an ozone (O3) concentration of 39.621 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 2.834 ppb.

Current air quality index in La Plata, Maryland today

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

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)

4.08 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

15.77 μg/m³

155

255

425

605+

Ozone (O₃)

39.62 ppb

201

201+

Sulfur Dioxide (SO₂)

0.31 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.83 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

La Plata, Maryland

Get Live Pollen Counts

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
2025-10-19T21:00:00.000Z	38 \| good	7.187 \| good	19.769 \| good	41.142 \| good	0.287 \| good	1.506 \| good	0.179 \| good
2025-10-19T22:00:00.000Z	35 \| good	4.862 \| good	13.371 \| good	38.442 \| good	0.302 \| good	1.806 \| good	0.179 \| good
2025-10-19T23:00:00.000Z	38 \| good	5.021 \| good	21.464 \| good	40.533 \| good	0.314 \| good	2.184 \| good	0.179 \| good
2025-10-20T00:00:00.000Z	38 \| good	4.743 \| good	21.624 \| good	41.377 \| good	0.273 \| good	2.404 \| good	0.179 \| good
2025-10-20T01:00:00.000Z	37 \| good	4.416 \| good	14.455 \| good	39.67 \| good	0.25 \| good	3.246 \| good	0.202 \| good
2025-10-20T02:00:00.000Z	31 \| good	4.178 \| good	19.367 \| good	33.951 \| good	0.243 \| good	2.63 \| good	0.202 \| good
2025-10-20T03:00:00.000Z	34 \| good	4.664 \| good	16.296 \| good	37.298 \| good	0.235 \| good	1.257 \| good	0.15 \| good
2025-10-20T04:00:00.000Z	34 \| good	3.935 \| good	14.006 \| good	36.86 \| good	0.197 \| good	1.507 \| good	0.15 \| good
2025-10-20T05:00:00.000Z	33 \| good	2.871 \| good	9.133 \| good	35.522 \| good	0.222 \| good	1.663 \| good	0.15 \| good
2025-10-20T06:00:00.000Z	31 \| good	2.245 \| good	8.611 \| good	33.531 \| good	0.129 \| good	1.837 \| good	0.15 \| good
2025-10-20T07:00:00.000Z	31 \| good	2.44 \| good	8.228 \| good	33.515 \| good	0.161 \| good	1.586 \| good	0.15 \| good
2025-10-20T08:00:00.000Z	29 \| good	2.905 \| good	9.523 \| good	31.299 \| good	0.146 \| good	3.425 \| good	0.15 \| good
2025-10-20T09:00:00.000Z	23 \| good	1.684 \| good	4.886 \| good	24.927 \| good	0.186 \| good	4.602 \| good	0.179 \| good
2025-10-20T10:00:00.000Z	24 \| good	1.73 \| good	6.272 \| good	25.853 \| good	0.184 \| good	1.519 \| good	0.15 \| good
2025-10-20T11:00:00.000Z	23 \| good	2.046 \| good	8.422 \| good	24.783 \| good	0.182 \| good	2.205 \| good	0.141 \| good
2025-10-20T12:00:00.000Z	21 \| good	1.535 \| good	6.468 \| good	22.756 \| good	0.194 \| good	2.223 \| good	0.121 \| good
2025-10-20T13:00:00.000Z	20 \| good	1.906 \| good	6.022 \| good	22.242 \| good	0.158 \| good	3.347 \| good	0.165 \| good
2025-10-20T14:00:00.000Z	22 \| good	2.443 \| good	5.84 \| good	23.826 \| good	0.195 \| good	3.928 \| good	0.191 \| good
2025-10-20T15:00:00.000Z	23 \| good	2.104 \| good	6.949 \| good	24.848 \| good	0.302 \| good	2.338 \| good	0.144 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.204 \| good	8.155 \| good	28.214 \| good	0.241 \| good	1.39 \| good	0.121 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.246 \| good	6.508 \| good	29.475 \| good	0.209 \| good	1.917 \| good	0.137 \| good
2025-10-20T18:00:00.000Z	29 \| good	2.318 \| good	10.531 \| good	30.503 \| good	0.194 \| good	1.726 \| good	0.144 \| good
2025-10-20T19:00:00.000Z	31 \| good	2.784 \| good	11.562 \| good	32.616 \| good	0.24 \| good	1.447 \| good	0.144 \| good
2025-10-20T20:00:00.000Z	31 \| good	1.299 \| good	10.808 \| good	32.526 \| good	0.241 \| good	1.438 \| good	0.144 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.559 \| good	10.819 \| good	32.464 \| good	0.164 \| good	1.556 \| good	0.144 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.986 \| good	13.517 \| good	33.537 \| good	0.193 \| good	3.361 \| good	0.144 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.971 \| good	12.325 \| good	32.552 \| good	0.191 \| good	5.966 \| good	0.144 \| good
2025-10-21T00:00:00.000Z	28 \| good	2.706 \| good	14.441 \| good	29.685 \| good	0.235 \| good	6.664 \| good	0.144 \| good
2025-10-21T01:00:00.000Z	25 \| good	3.749 \| good	16.408 \| good	26.697 \| good	0.181 \| good	11.656 \| good	0.184 \| good
2025-10-21T02:00:00.000Z	23 \| good	4.202 \| good	12.661 \| good	24.752 \| good	0.155 \| good	14.128 \| good	0.258 \| good
2025-10-21T03:00:00.000Z	27 \| good	5.022 \| good	21.992 \| good	16.635 \| good	1.653 \| good	13.557 \| good	0.233 \| good
2025-10-21T04:00:00.000Z	22 \| good	4.001 \| good	13.807 \| good	13.532 \| good	0.274 \| good	14.897 \| good	0.365 \| good
2025-10-21T05:00:00.000Z	16 \| good	2.6 \| good	12.982 \| good	12.915 \| good	0.213 \| good	14.11 \| good	0.378 \| good
2025-10-21T06:00:00.000Z	22 \| good	3.8 \| good	17.031 \| good	9.801 \| good	0.195 \| good	12.618 \| good	0.385 \| good
2025-10-21T07:00:00.000Z	67 \| moderate	18.445 \| fine	23.3 \| good	8.648 \| good	0.196 \| good	13.095 \| good	0.367 \| good
2025-10-21T08:00:00.000Z	44 \| good	7.608 \| good	12.013 \| good	8.646 \| good	0.23 \| good	11.207 \| good	0.365 \| good
2025-10-21T09:00:00.000Z	62 \| moderate	14.706 \| fine	23.587 \| good	5.781 \| good	0.229 \| good	11.219 \| good	0.342 \| good
2025-10-21T10:00:00.000Z	11 \| good	2.4 \| good	11.264 \| good	6.266 \| good	0.302 \| good	8.986 \| good	0.342 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.079 \| good	13.74 \| good	6.901 \| good	0.309 \| good	9.104 \| good	0.373 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.992 \| good	13.34 \| good	4.504 \| good	0.349 \| good	8.782 \| good	0.548 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.991 \| good	17.614 \| good	8.365 \| good	0.363 \| good	10.244 \| good	0.666 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.324 \| good	23.166 \| good	6.573 \| good	0.372 \| good	9.941 \| good	0.708 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.637 \| good	16.26 \| good	10.29 \| good	0.428 \| good	10.417 \| good	0.547 \| good
2025-10-21T16:00:00.000Z	22 \| good	4.021 \| good	17.051 \| good	19.191 \| good	0.506 \| good	11.273 \| good	0.291 \| good
2025-10-21T17:00:00.000Z	23 \| good	4.461 \| good	18.665 \| good	24.71 \| good	0.316 \| good	8.081 \| good	0.177 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.874 \| good	12.884 \| good	30.732 \| good	0.311 \| good	4.133 \| good	0.152 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.64 \| good	13.261 \| good	33.906 \| good	0.282 \| good	3.455 \| good	0.152 \| good
2025-10-21T20:00:00.000Z	37 \| good	4.081 \| good	15.77 \| good	39.621 \| good	0.308 \| good	2.834 \| good	0.177 \| good
2025-10-21T20:00:00.000Z	37 \| good	4.081 \| good	15.77 \| good	39.621 \| good	0.308 \| good	2.834 \| good	0.177 \| good
2025-10-21T21:00:00.000Z	43 \| good	4.924 \| good	21.049 \| good	46.088 \| good	1.597 \| good	1.799 \| good	0.145 \| good
2025-10-21T22:00:00.000Z	41 \| good	3.876 \| good	16.999 \| good	44.071 \| good	1.635 \| good	2.876 \| good	0.151 \| good
2025-10-21T23:00:00.000Z	39 \| good	4.123 \| good	18 \| good	42.252 \| good	1.674 \| good	3.954 \| good	0.158 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.249 \| good	27.956 \| good	40.542 \| good	1.713 \| good	5.031 \| good	0.164 \| good
2025-10-22T01:00:00.000Z	33 \| good	6.045 \| good	27 \| good	36.26 \| good	1.681 \| good	4.605 \| good	0.161 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.919 \| good	26.855 \| good	32.611 \| good	1.648 \| good	4.179 \| good	0.157 \| good
2025-10-22T03:00:00.000Z	29 \| good	4.837 \| good	20.972 \| good	31.429 \| good	1.616 \| good	3.752 \| good	0.153 \| good
2025-10-22T04:00:00.000Z	27 \| good	4.261 \| good	18.973 \| good	28.616 \| good	1.542 \| good	3.595 \| good	0.154 \| good
2025-10-22T05:00:00.000Z	27 \| good	4.624 \| good	20 \| good	20.585 \| good	1.468 \| good	3.438 \| good	0.155 \| good
2025-10-22T06:00:00.000Z	27 \| good	4.819 \| good	21 \| good	17.454 \| good	1.394 \| good	3.281 \| good	0.155 \| good
2025-10-22T07:00:00.000Z	27 \| good	4.529 \| good	19.917 \| good	24.53 \| good	1.412 \| good	3.104 \| good	0.152 \| good
2025-10-22T08:00:00.000Z	23 \| good	4.299 \| good	18.984 \| good	24.725 \| good	1.43 \| good	2.927 \| good	0.149 \| good
2025-10-22T09:00:00.000Z	23 \| good	3.72 \| good	16.035 \| good	25.435 \| good	1.448 \| good	2.75 \| good	0.147 \| good
2025-10-22T10:00:00.000Z	22 \| good	2.872 \| good	11.956 \| good	23.82 \| good	1.471 \| good	3.224 \| good	0.149 \| good
2025-10-22T11:00:00.000Z	21 \| good	2.222 \| good	9.043 \| good	22.842 \| good	1.493 \| good	3.699 \| good	0.152 \| good
2025-10-22T12:00:00.000Z	20 \| good	1.322 \| good	5.043 \| good	22.306 \| good	1.516 \| good	4.173 \| good	0.154 \| good
2025-10-22T13:00:00.000Z	25 \| good	1.998 \| good	8.025 \| good	27.402 \| good	1.596 \| good	3.293 \| good	0.146 \| good
2025-10-22T14:00:00.000Z	30 \| good	1.863 \| good	7.956 \| good	31.778 \| good	1.675 \| good	2.413 \| good	0.139 \| good
2025-10-22T15:00:00.000Z	31 \| good	1.633 \| good	7 \| good	33.337 \| good	1.755 \| good	1.532 \| good	0.131 \| good
2025-10-22T16:00:00.000Z	32 \| good	1.95 \| good	8 \| good	34.995 \| good	1.52 \| good	1.362 \| good	0.128 \| good
2025-10-22T17:00:00.000Z	33 \| good	1.968 \| good	8 \| good	36.283 \| good	1.285 \| good	1.192 \| good	0.126 \| good
2025-10-22T18:00:00.000Z	34 \| good	2.904 \| good	12 \| good	37.398 \| good	1.051 \| good	1.022 \| good	0.124 \| good
2025-10-22T19:00:00.000Z	35 \| good	2.425 \| good	10 \| good	38.449 \| good	0.993 \| good	1.276 \| good	0.125 \| good
2025-10-22T20:00:00.000Z	33 \| good	2.703 \| good	11.008 \| good	36.248 \| good	0.936 \| good	1.53 \| good	0.125 \| good
2025-10-22T21:00:00.000Z	32 \| good	1.716 \| good	7.065 \| good	34.724 \| good	0.879 \| good	1.783 \| good	0.126 \| good
2025-10-22T22:00:00.000Z	27 \| good	1.852 \| good	8.009 \| good	29.045 \| good	1.039 \| good	3.79 \| good	0.142 \| good
2025-10-22T23:00:00.000Z	22 \| good	2.163 \| good	9.01 \| good	24.028 \| good	1.198 \| good	5.797 \| good	0.158 \| good
2025-10-23T00:00:00.000Z	22 \| good	4.424 \| good	19.102 \| good	20.531 \| good	1.357 \| good	7.804 \| good	0.174 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.667 \| good	20.085 \| good	17.478 \| good	1.48 \| good	7.765 \| good	0.173 \| good
2025-10-23T02:00:00.000Z	27 \| good	5.301 \| good	23.054 \| good	16.711 \| good	1.603 \| good	7.727 \| good	0.173 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.805 \| good	25.038 \| good	14.413 \| good	1.726 \| good	7.688 \| good	0.172 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.598 \| good	23.978 \| good	14.715 \| good	1.629 \| good	6.9 \| good	0.167 \| good
2025-10-23T05:00:00.000Z	33 \| good	5.825 \| good	25.122 \| good	15.255 \| good	1.532 \| good	6.113 \| good	0.162 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.852 \| good	25.086 \| good	15.408 \| good	1.435 \| good	5.326 \| good	0.157 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.479 \| good	23.065 \| good	12.918 \| good	1.275 \| good	4.536 \| good	0.15 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.325 \| good	22.956 \| good	11.211 \| good	1.116 \| good	3.746 \| good	0.144 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.728 \| good	20.913 \| good	11.189 \| good	0.957 \| good	2.956 \| good	0.137 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.634 \| good	15.977 \| good	12.483 \| good	0.966 \| good	3.198 \| good	0.139 \| good
2025-10-23T11:00:00.000Z	16 \| good	3.135 \| good	13.876 \| good	14.94 \| good	0.976 \| good	3.44 \| good	0.141 \| good
2025-10-23T12:00:00.000Z	17 \| good	2.386 \| good	10 \| good	17.641 \| good	0.985 \| good	3.682 \| good	0.143 \| good
2025-10-23T13:00:00.000Z	22 \| good	4.372 \| good	19.018 \| good	22.144 \| good	1.247 \| good	3.028 \| good	0.138 \| good
2025-10-23T14:00:00.000Z	27 \| good	4.28 \| good	18.956 \| good	29.085 \| good	1.509 \| good	2.374 \| good	0.134 \| good
2025-10-23T15:00:00.000Z	32 \| good	2.875 \| good	12.029 \| good	35.166 \| good	1.771 \| good	1.72 \| good	0.13 \| good
2025-10-23T16:00:00.000Z	34 \| good	2.887 \| good	11.956 \| good	36.912 \| good	1.645 \| good	1.5 \| good	0.127 \| good
2025-10-23T17:00:00.000Z	35 \| good	1.987 \| good	8.054 \| good	38.273 \| good	1.519 \| good	1.28 \| good	0.123 \| good
2025-10-23T18:00:00.000Z	37 \| good	1.937 \| good	8.04 \| good	39.896 \| good	1.392 \| good	1.06 \| good	0.12 \| good
2025-10-23T19:00:00.000Z	37 \| good	1.806 \| good	7.959 \| good	40.376 \| good	1.274 \| good	1.173 \| good	0.119 \| good
2025-10-23T20:00:00.000Z	36 \| good	1.468 \| good	6.008 \| good	39.092 \| good	1.155 \| good	1.286 \| good	0.119 \| 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 07:00:00, 2025-10-21.

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 10:00:00 on 2025-10-21.

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 37.

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 4.081 μg/m³.

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

La Plata, Maryland currently has a PM₁₀ concentration of 15.77 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 0.177 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 0.308 ppb.

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

La Plata, Maryland currently has an ozone (O₃) concentration of 39.621 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 2.834 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	38 \| good	7.187 \| good	19.769 \| good	41.142 \| good	0.287 \| good	1.506 \| good	0.179 \| good
2025-10-19T22:00:00.000Z	35 \| good	4.862 \| good	13.371 \| good	38.442 \| good	0.302 \| good	1.806 \| good	0.179 \| good
2025-10-19T23:00:00.000Z	38 \| good	5.021 \| good	21.464 \| good	40.533 \| good	0.314 \| good	2.184 \| good	0.179 \| good
2025-10-20T00:00:00.000Z	38 \| good	4.743 \| good	21.624 \| good	41.377 \| good	0.273 \| good	2.404 \| good	0.179 \| good
2025-10-20T01:00:00.000Z	37 \| good	4.416 \| good	14.455 \| good	39.67 \| good	0.25 \| good	3.246 \| good	0.202 \| good
2025-10-20T02:00:00.000Z	31 \| good	4.178 \| good	19.367 \| good	33.951 \| good	0.243 \| good	2.63 \| good	0.202 \| good
2025-10-20T03:00:00.000Z	34 \| good	4.664 \| good	16.296 \| good	37.298 \| good	0.235 \| good	1.257 \| good	0.15 \| good
2025-10-20T04:00:00.000Z	34 \| good	3.935 \| good	14.006 \| good	36.86 \| good	0.197 \| good	1.507 \| good	0.15 \| good
2025-10-20T05:00:00.000Z	33 \| good	2.871 \| good	9.133 \| good	35.522 \| good	0.222 \| good	1.663 \| good	0.15 \| good
2025-10-20T06:00:00.000Z	31 \| good	2.245 \| good	8.611 \| good	33.531 \| good	0.129 \| good	1.837 \| good	0.15 \| good
2025-10-20T07:00:00.000Z	31 \| good	2.44 \| good	8.228 \| good	33.515 \| good	0.161 \| good	1.586 \| good	0.15 \| good
2025-10-20T08:00:00.000Z	29 \| good	2.905 \| good	9.523 \| good	31.299 \| good	0.146 \| good	3.425 \| good	0.15 \| good
2025-10-20T09:00:00.000Z	23 \| good	1.684 \| good	4.886 \| good	24.927 \| good	0.186 \| good	4.602 \| good	0.179 \| good
2025-10-20T10:00:00.000Z	24 \| good	1.73 \| good	6.272 \| good	25.853 \| good	0.184 \| good	1.519 \| good	0.15 \| good
2025-10-20T11:00:00.000Z	23 \| good	2.046 \| good	8.422 \| good	24.783 \| good	0.182 \| good	2.205 \| good	0.141 \| good
2025-10-20T12:00:00.000Z	21 \| good	1.535 \| good	6.468 \| good	22.756 \| good	0.194 \| good	2.223 \| good	0.121 \| good
2025-10-20T13:00:00.000Z	20 \| good	1.906 \| good	6.022 \| good	22.242 \| good	0.158 \| good	3.347 \| good	0.165 \| good
2025-10-20T14:00:00.000Z	22 \| good	2.443 \| good	5.84 \| good	23.826 \| good	0.195 \| good	3.928 \| good	0.191 \| good
2025-10-20T15:00:00.000Z	23 \| good	2.104 \| good	6.949 \| good	24.848 \| good	0.302 \| good	2.338 \| good	0.144 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.204 \| good	8.155 \| good	28.214 \| good	0.241 \| good	1.39 \| good	0.121 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.246 \| good	6.508 \| good	29.475 \| good	0.209 \| good	1.917 \| good	0.137 \| good
2025-10-20T18:00:00.000Z	29 \| good	2.318 \| good	10.531 \| good	30.503 \| good	0.194 \| good	1.726 \| good	0.144 \| good
2025-10-20T19:00:00.000Z	31 \| good	2.784 \| good	11.562 \| good	32.616 \| good	0.24 \| good	1.447 \| good	0.144 \| good
2025-10-20T20:00:00.000Z	31 \| good	1.299 \| good	10.808 \| good	32.526 \| good	0.241 \| good	1.438 \| good	0.144 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.559 \| good	10.819 \| good	32.464 \| good	0.164 \| good	1.556 \| good	0.144 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.986 \| good	13.517 \| good	33.537 \| good	0.193 \| good	3.361 \| good	0.144 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.971 \| good	12.325 \| good	32.552 \| good	0.191 \| good	5.966 \| good	0.144 \| good
2025-10-21T00:00:00.000Z	28 \| good	2.706 \| good	14.441 \| good	29.685 \| good	0.235 \| good	6.664 \| good	0.144 \| good
2025-10-21T01:00:00.000Z	25 \| good	3.749 \| good	16.408 \| good	26.697 \| good	0.181 \| good	11.656 \| good	0.184 \| good
2025-10-21T02:00:00.000Z	23 \| good	4.202 \| good	12.661 \| good	24.752 \| good	0.155 \| good	14.128 \| good	0.258 \| good
2025-10-21T03:00:00.000Z	27 \| good	5.022 \| good	21.992 \| good	16.635 \| good	1.653 \| good	13.557 \| good	0.233 \| good
2025-10-21T04:00:00.000Z	22 \| good	4.001 \| good	13.807 \| good	13.532 \| good	0.274 \| good	14.897 \| good	0.365 \| good
2025-10-21T05:00:00.000Z	16 \| good	2.6 \| good	12.982 \| good	12.915 \| good	0.213 \| good	14.11 \| good	0.378 \| good
2025-10-21T06:00:00.000Z	22 \| good	3.8 \| good	17.031 \| good	9.801 \| good	0.195 \| good	12.618 \| good	0.385 \| good
2025-10-21T07:00:00.000Z	67 \| moderate	18.445 \| fine	23.3 \| good	8.648 \| good	0.196 \| good	13.095 \| good	0.367 \| good
2025-10-21T08:00:00.000Z	44 \| good	7.608 \| good	12.013 \| good	8.646 \| good	0.23 \| good	11.207 \| good	0.365 \| good
2025-10-21T09:00:00.000Z	62 \| moderate	14.706 \| fine	23.587 \| good	5.781 \| good	0.229 \| good	11.219 \| good	0.342 \| good
2025-10-21T10:00:00.000Z	11 \| good	2.4 \| good	11.264 \| good	6.266 \| good	0.302 \| good	8.986 \| good	0.342 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.079 \| good	13.74 \| good	6.901 \| good	0.309 \| good	9.104 \| good	0.373 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.992 \| good	13.34 \| good	4.504 \| good	0.349 \| good	8.782 \| good	0.548 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.991 \| good	17.614 \| good	8.365 \| good	0.363 \| good	10.244 \| good	0.666 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.324 \| good	23.166 \| good	6.573 \| good	0.372 \| good	9.941 \| good	0.708 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.637 \| good	16.26 \| good	10.29 \| good	0.428 \| good	10.417 \| good	0.547 \| good
2025-10-21T16:00:00.000Z	22 \| good	4.021 \| good	17.051 \| good	19.191 \| good	0.506 \| good	11.273 \| good	0.291 \| good
2025-10-21T17:00:00.000Z	23 \| good	4.461 \| good	18.665 \| good	24.71 \| good	0.316 \| good	8.081 \| good	0.177 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.874 \| good	12.884 \| good	30.732 \| good	0.311 \| good	4.133 \| good	0.152 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.64 \| good	13.261 \| good	33.906 \| good	0.282 \| good	3.455 \| good	0.152 \| good
2025-10-21T20:00:00.000Z	37 \| good	4.081 \| good	15.77 \| good	39.621 \| good	0.308 \| good	2.834 \| good	0.177 \| good
2025-10-21T20:00:00.000Z	37 \| good	4.081 \| good	15.77 \| good	39.621 \| good	0.308 \| good	2.834 \| good	0.177 \| good
2025-10-21T21:00:00.000Z	43 \| good	4.924 \| good	21.049 \| good	46.088 \| good	1.597 \| good	1.799 \| good	0.145 \| good
2025-10-21T22:00:00.000Z	41 \| good	3.876 \| good	16.999 \| good	44.071 \| good	1.635 \| good	2.876 \| good	0.151 \| good
2025-10-21T23:00:00.000Z	39 \| good	4.123 \| good	18 \| good	42.252 \| good	1.674 \| good	3.954 \| good	0.158 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.249 \| good	27.956 \| good	40.542 \| good	1.713 \| good	5.031 \| good	0.164 \| good
2025-10-22T01:00:00.000Z	33 \| good	6.045 \| good	27 \| good	36.26 \| good	1.681 \| good	4.605 \| good	0.161 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.919 \| good	26.855 \| good	32.611 \| good	1.648 \| good	4.179 \| good	0.157 \| good
2025-10-22T03:00:00.000Z	29 \| good	4.837 \| good	20.972 \| good	31.429 \| good	1.616 \| good	3.752 \| good	0.153 \| good
2025-10-22T04:00:00.000Z	27 \| good	4.261 \| good	18.973 \| good	28.616 \| good	1.542 \| good	3.595 \| good	0.154 \| good
2025-10-22T05:00:00.000Z	27 \| good	4.624 \| good	20 \| good	20.585 \| good	1.468 \| good	3.438 \| good	0.155 \| good
2025-10-22T06:00:00.000Z	27 \| good	4.819 \| good	21 \| good	17.454 \| good	1.394 \| good	3.281 \| good	0.155 \| good
2025-10-22T07:00:00.000Z	27 \| good	4.529 \| good	19.917 \| good	24.53 \| good	1.412 \| good	3.104 \| good	0.152 \| good
2025-10-22T08:00:00.000Z	23 \| good	4.299 \| good	18.984 \| good	24.725 \| good	1.43 \| good	2.927 \| good	0.149 \| good
2025-10-22T09:00:00.000Z	23 \| good	3.72 \| good	16.035 \| good	25.435 \| good	1.448 \| good	2.75 \| good	0.147 \| good
2025-10-22T10:00:00.000Z	22 \| good	2.872 \| good	11.956 \| good	23.82 \| good	1.471 \| good	3.224 \| good	0.149 \| good
2025-10-22T11:00:00.000Z	21 \| good	2.222 \| good	9.043 \| good	22.842 \| good	1.493 \| good	3.699 \| good	0.152 \| good
2025-10-22T12:00:00.000Z	20 \| good	1.322 \| good	5.043 \| good	22.306 \| good	1.516 \| good	4.173 \| good	0.154 \| good
2025-10-22T13:00:00.000Z	25 \| good	1.998 \| good	8.025 \| good	27.402 \| good	1.596 \| good	3.293 \| good	0.146 \| good
2025-10-22T14:00:00.000Z	30 \| good	1.863 \| good	7.956 \| good	31.778 \| good	1.675 \| good	2.413 \| good	0.139 \| good
2025-10-22T15:00:00.000Z	31 \| good	1.633 \| good	7 \| good	33.337 \| good	1.755 \| good	1.532 \| good	0.131 \| good
2025-10-22T16:00:00.000Z	32 \| good	1.95 \| good	8 \| good	34.995 \| good	1.52 \| good	1.362 \| good	0.128 \| good
2025-10-22T17:00:00.000Z	33 \| good	1.968 \| good	8 \| good	36.283 \| good	1.285 \| good	1.192 \| good	0.126 \| good
2025-10-22T18:00:00.000Z	34 \| good	2.904 \| good	12 \| good	37.398 \| good	1.051 \| good	1.022 \| good	0.124 \| good
2025-10-22T19:00:00.000Z	35 \| good	2.425 \| good	10 \| good	38.449 \| good	0.993 \| good	1.276 \| good	0.125 \| good
2025-10-22T20:00:00.000Z	33 \| good	2.703 \| good	11.008 \| good	36.248 \| good	0.936 \| good	1.53 \| good	0.125 \| good
2025-10-22T21:00:00.000Z	32 \| good	1.716 \| good	7.065 \| good	34.724 \| good	0.879 \| good	1.783 \| good	0.126 \| good
2025-10-22T22:00:00.000Z	27 \| good	1.852 \| good	8.009 \| good	29.045 \| good	1.039 \| good	3.79 \| good	0.142 \| good
2025-10-22T23:00:00.000Z	22 \| good	2.163 \| good	9.01 \| good	24.028 \| good	1.198 \| good	5.797 \| good	0.158 \| good
2025-10-23T00:00:00.000Z	22 \| good	4.424 \| good	19.102 \| good	20.531 \| good	1.357 \| good	7.804 \| good	0.174 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.667 \| good	20.085 \| good	17.478 \| good	1.48 \| good	7.765 \| good	0.173 \| good
2025-10-23T02:00:00.000Z	27 \| good	5.301 \| good	23.054 \| good	16.711 \| good	1.603 \| good	7.727 \| good	0.173 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.805 \| good	25.038 \| good	14.413 \| good	1.726 \| good	7.688 \| good	0.172 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.598 \| good	23.978 \| good	14.715 \| good	1.629 \| good	6.9 \| good	0.167 \| good
2025-10-23T05:00:00.000Z	33 \| good	5.825 \| good	25.122 \| good	15.255 \| good	1.532 \| good	6.113 \| good	0.162 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.852 \| good	25.086 \| good	15.408 \| good	1.435 \| good	5.326 \| good	0.157 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.479 \| good	23.065 \| good	12.918 \| good	1.275 \| good	4.536 \| good	0.15 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.325 \| good	22.956 \| good	11.211 \| good	1.116 \| good	3.746 \| good	0.144 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.728 \| good	20.913 \| good	11.189 \| good	0.957 \| good	2.956 \| good	0.137 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.634 \| good	15.977 \| good	12.483 \| good	0.966 \| good	3.198 \| good	0.139 \| good
2025-10-23T11:00:00.000Z	16 \| good	3.135 \| good	13.876 \| good	14.94 \| good	0.976 \| good	3.44 \| good	0.141 \| good
2025-10-23T12:00:00.000Z	17 \| good	2.386 \| good	10 \| good	17.641 \| good	0.985 \| good	3.682 \| good	0.143 \| good
2025-10-23T13:00:00.000Z	22 \| good	4.372 \| good	19.018 \| good	22.144 \| good	1.247 \| good	3.028 \| good	0.138 \| good
2025-10-23T14:00:00.000Z	27 \| good	4.28 \| good	18.956 \| good	29.085 \| good	1.509 \| good	2.374 \| good	0.134 \| good
2025-10-23T15:00:00.000Z	32 \| good	2.875 \| good	12.029 \| good	35.166 \| good	1.771 \| good	1.72 \| good	0.13 \| good
2025-10-23T16:00:00.000Z	34 \| good	2.887 \| good	11.956 \| good	36.912 \| good	1.645 \| good	1.5 \| good	0.127 \| good
2025-10-23T17:00:00.000Z	35 \| good	1.987 \| good	8.054 \| good	38.273 \| good	1.519 \| good	1.28 \| good	0.123 \| good
2025-10-23T18:00:00.000Z	37 \| good	1.937 \| good	8.04 \| good	39.896 \| good	1.392 \| good	1.06 \| good	0.12 \| good
2025-10-23T19:00:00.000Z	37 \| good	1.806 \| good	7.959 \| good	40.376 \| good	1.274 \| good	1.173 \| good	0.119 \| good
2025-10-23T20:00:00.000Z	36 \| good	1.468 \| good	6.008 \| good	39.092 \| good	1.155 \| good	1.286 \| good	0.119 \| good

Current air quality index in La Plata, Maryland today

Common air pollutants in La Plata, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live La Plata, Maryland air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Bensville, Maryland

Waldorf, Maryland

Accokeek, Maryland

Fort Washington, Maryland

Brandywine, Maryland

Mount Vernon, Virginia

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for La Plata, Maryland get updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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