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

La Plata, Maryland currently has a PM10 concentration of 40.018 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 0.162 ppb.

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

La Plata, Maryland currently has an ozone (O3) concentration of 9.694 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 5.554 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)

Moderate

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)

11.37 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

50.08 μg/m³

155

255

425

605+

Ozone (O₃)

25.94 ppb

201

201+

Sulfur Dioxide (SO₂)

1.06 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.36 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.33 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

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
2025-07-28T04:00:00.000Z	18 \| good	3.41 \| good	12.915 \| good	19.233 \| good	0.186 \| good	4.78 \| good	0.263 \| good
2025-07-28T05:00:00.000Z	16 \| good	3.025 \| good	11.337 \| good	12.784 \| good	0.191 \| good	4.852 \| good	0.239 \| good
2025-07-28T06:00:00.000Z	11 \| good	2.18 \| good	8.951 \| good	12.074 \| good	0.225 \| good	5.556 \| good	0.225 \| good
2025-07-28T07:00:00.000Z	16 \| good	3.146 \| good	11.922 \| good	10.03 \| good	0.249 \| good	4.836 \| good	0.21 \| good
2025-07-28T08:00:00.000Z	22 \| good	3.939 \| good	13.678 \| good	6.678 \| good	0.22 \| good	5.216 \| good	0.21 \| good
2025-07-28T09:00:00.000Z	27 \| good	5.075 \| good	20.779 \| good	10.504 \| good	0.238 \| good	3.273 \| good	0.196 \| good
2025-07-28T10:00:00.000Z	27 \| good	5.216 \| good	26.684 \| good	11.628 \| good	0.255 \| good	3.915 \| good	0.196 \| good
2025-07-28T11:00:00.000Z	22 \| good	4.439 \| good	13.969 \| good	18.193 \| good	0.331 \| good	5.412 \| good	0.206 \| good
2025-07-28T12:00:00.000Z	33 \| good	5.687 \| good	29.365 \| good	17.461 \| good	0.395 \| good	5.774 \| good	0.215 \| good
2025-07-28T13:00:00.000Z	27 \| good	4.614 \| good	21.868 \| good	25.87 \| good	0.963 \| good	4.863 \| good	0.199 \| good
2025-07-28T14:00:00.000Z	27 \| good	4.512 \| good	16.986 \| good	27.482 \| good	0.294 \| good	4.678 \| good	0.186 \| good
2025-07-28T15:00:00.000Z	33 \| good	5.965 \| good	24.28 \| good	28.986 \| good	0.233 \| good	4.079 \| good	0.226 \| good
2025-07-28T16:00:00.000Z	38 \| good	6.418 \| good	24.116 \| good	41.464 \| good	0.264 \| good	3.258 \| good	0.226 \| good
2025-07-28T17:00:00.000Z	44 \| good	8.47 \| good	36.411 \| good	40.124 \| good	0.354 \| good	2.688 \| good	0.226 \| good
2025-07-28T18:00:00.000Z	49 \| good	9.438 \| good	32.823 \| good	38.497 \| good	0.277 \| good	2.553 \| good	0.191 \| good
2025-07-28T19:00:00.000Z	44 \| good	8.327 \| good	21.381 \| good	44.659 \| good	0.196 \| good	2.211 \| good	0.165 \| good
2025-07-28T20:00:00.000Z	44 \| good	6.679 \| good	28.706 \| good	47.778 \| good	0.161 \| good	2.392 \| good	0.191 \| good
2025-07-28T21:00:00.000Z	45 \| good	6.722 \| good	23.604 \| good	49.265 \| good	0.174 \| good	2.103 \| good	0.212 \| good
2025-07-28T22:00:00.000Z	44 \| good	8.08 \| good	31.474 \| good	47.242 \| good	0.177 \| good	0.943 \| good	0.212 \| good
2025-07-28T23:00:00.000Z	44 \| good	8.209 \| good	42.668 \| good	45.368 \| good	0.134 \| good	1.093 \| good	0.212 \| good
2025-07-29T00:00:00.000Z	46 \| good	7.768 \| good	18.598 \| good	49.786 \| good	0.193 \| good	2.002 \| good	0.236 \| good
2025-07-29T01:00:00.000Z	41 \| good	7.43 \| good	28.994 \| good	43.868 \| good	0.143 \| good	2.095 \| good	0.221 \| good
2025-07-29T02:00:00.000Z	38 \| good	6.539 \| good	28.946 \| good	37.98 \| good	0.14 \| good	3.59 \| good	0.255 \| good
2025-07-29T03:00:00.000Z	44 \| good	7.528 \| good	26.544 \| good	27.435 \| good	0.18 \| good	8.878 \| good	0.333 \| good
2025-07-29T04:00:00.000Z	49 \| good	8.614 \| good	27.29 \| good	24.305 \| good	0.191 \| good	9.396 \| good	0.333 \| good
2025-07-29T05:00:00.000Z	44 \| good	8.129 \| good	26.31 \| good	19.445 \| good	0.194 \| good	7.968 \| good	0.381 \| good
2025-07-29T06:00:00.000Z	44 \| good	7.968 \| good	27.457 \| good	25.17 \| good	0.142 \| good	7.227 \| good	0.38 \| good
2025-07-29T07:00:00.000Z	49 \| good	8.61 \| good	23.515 \| good	25.59 \| good	0.191 \| good	7.835 \| good	0.404 \| good
2025-07-29T08:00:00.000Z	49 \| good	9.31 \| good	33.579 \| good	18.533 \| good	0.26 \| good	7.136 \| good	0.404 \| good
2025-07-29T09:00:00.000Z	49 \| good	9.473 \| good	33.943 \| good	17.543 \| good	0.195 \| good	5.37 \| good	0.38 \| good
2025-07-29T10:00:00.000Z	44 \| good	7.999 \| good	41.31 \| good	17.825 \| good	0.226 \| good	3.564 \| good	0.407 \| good
2025-07-29T11:00:00.000Z	44 \| good	8.359 \| good	35.548 \| good	7.071 \| good	0.236 \| good	5.169 \| good	0.394 \| good
2025-07-29T12:00:00.000Z	44 \| good	7.981 \| good	40.018 \| good	9.694 \| good	0.162 \| good	5.554 \| good	0.373 \| good
2025-07-29T13:00:00.000Z	49 \| good	9.133 \| good	50.328 \| good	9.534 \| good	0.16 \| good	6.025 \| good	0.401 \| good
2025-07-29T14:00:00.000Z	49 \| good	9.392 \| good	35.616 \| good	12.524 \| good	0.181 \| good	5.359 \| good	0.409 \| good
2025-07-29T15:00:00.000Z	44 \| good	7.79 \| good	29.489 \| good	29.477 \| good	0.222 \| good	6.576 \| good	0.305 \| good
2025-07-29T16:00:00.000Z	44 \| good	7.857 \| good	20.16 \| good	44.876 \| good	0.281 \| good	3.7 \| good	0.241 \| good
2025-07-29T17:00:00.000Z	44 \| good	7.907 \| good	36.843 \| good	48.353 \| good	0.237 \| good	4.074 \| good	0.226 \| good
2025-07-29T18:00:00.000Z	49 \| good	9.059 \| good	40.339 \| good	50.205 \| good	0.273 \| good	5.028 \| good	0.265 \| good
2025-07-29T19:00:00.000Z	52 \| moderate	9.585 \| good	35.099 \| good	49.365 \| good	0.282 \| good	3.867 \| good	0.255 \| good
2025-07-29T20:00:00.000Z	64 \| moderate	9.405 \| good	30.058 \| good	58.916 \| fine	0.227 \| good	3.663 \| good	0.239 \| good
2025-07-29T21:00:00.000Z	58 \| moderate	12.08 \| good	42.422 \| good	56.941 \| fine	0.167 \| good	3.477 \| good	0.226 \| good
2025-07-29T22:00:00.000Z	58 \| moderate	12.337 \| fine	56.903 \| fine	57.439 \| fine	0.144 \| good	1.699 \| good	0.3 \| good
2025-07-29T23:00:00.000Z	58 \| moderate	13.401 \| fine	55.854 \| fine	48.223 \| good	0.195 \| good	1.544 \| good	0.3 \| good
2025-07-30T00:00:00.000Z	49 \| good	9.316 \| good	40.446 \| good	41.96 \| good	0.25 \| good	1.913 \| good	0.316 \| good
2025-07-30T01:00:00.000Z	52 \| moderate	9.741 \| good	41.872 \| good	41.296 \| good	0.13 \| good	4.622 \| good	0.385 \| good
2025-07-30T02:00:00.000Z	52 \| moderate	10.3 \| good	31.051 \| good	45.373 \| good	0.147 \| good	6.812 \| good	0.361 \| good
2025-07-30T03:00:00.000Z	54 \| moderate	11.371 \| good	50.08 \| good	25.94 \| good	1.062 \| good	10.355 \| good	0.333 \| good
2025-07-30T03:00:00.000Z	54 \| moderate	11.371 \| good	50.08 \| good	25.94 \| good	1.062 \| good	10.355 \| good	0.333 \| good
2025-07-29T13:00:00.000Z	64 \| moderate	15.603 \| fine	69.27 \| fine	45.772 \| good	1.415 \| good	4.456 \| good	0.294 \| good
2025-07-29T14:00:00.000Z	62 \| moderate	14.531 \| fine	65.106 \| fine	53.383 \| good	1.788 \| good	3.237 \| good	0.257 \| good
2025-07-29T15:00:00.000Z	58 \| moderate	12.813 \| fine	57.331 \| fine	54.388 \| good	2.162 \| good	2.017 \| good	0.219 \| good
2025-07-29T16:00:00.000Z	61 \| moderate	11.309 \| good	50.234 \| good	57.827 \| fine	2.025 \| good	1.721 \| good	0.213 \| good
2025-07-29T17:00:00.000Z	64 \| moderate	11.072 \| good	49.32 \| good	58.609 \| fine	1.888 \| good	1.425 \| good	0.206 \| good
2025-07-29T18:00:00.000Z	61 \| moderate	9.936 \| good	44.306 \| good	58.242 \| fine	1.75 \| good	1.129 \| good	0.199 \| good
2025-07-29T19:00:00.000Z	52 \| moderate	10.42 \| good	46.399 \| good	55.327 \| fine	1.674 \| good	1.198 \| good	0.197 \| good
2025-07-29T20:00:00.000Z	52 \| moderate	10.165 \| good	45.27 \| good	51.529 \| good	1.597 \| good	1.267 \| good	0.195 \| good
2025-07-29T21:00:00.000Z	52 \| moderate	10.173 \| good	45.248 \| good	52.118 \| good	1.521 \| good	1.335 \| good	0.193 \| good
2025-07-29T22:00:00.000Z	54 \| moderate	11.069 \| good	49.084 \| good	46.916 \| good	1.447 \| good	3.525 \| good	0.226 \| good
2025-07-29T23:00:00.000Z	54 \| moderate	10.755 \| good	48.026 \| good	40.53 \| good	1.372 \| good	5.714 \| good	0.26 \| good
2025-07-30T00:00:00.000Z	52 \| moderate	10.387 \| good	46.042 \| good	41.203 \| good	1.298 \| good	7.903 \| good	0.293 \| good
2025-07-30T01:00:00.000Z	54 \| moderate	11.081 \| good	48.967 \| good	36.919 \| good	1.244 \| good	7.34 \| good	0.288 \| good
2025-07-30T02:00:00.000Z	58 \| moderate	12.719 \| fine	57 \| fine	34.757 \| good	1.191 \| good	6.777 \| good	0.284 \| good
2025-07-30T03:00:00.000Z	60 \| moderate	13.964 \| fine	63 \| fine	31.1 \| good	1.137 \| good	6.214 \| good	0.279 \| good
2025-07-30T04:00:00.000Z	58 \| moderate	13.326 \| fine	60.863 \| fine	26.214 \| good	1.13 \| good	5.122 \| good	0.262 \| good
2025-07-30T05:00:00.000Z	58 \| moderate	12.724 \| fine	57.016 \| fine	26.055 \| good	1.123 \| good	4.03 \| good	0.246 \| good
2025-07-30T06:00:00.000Z	58 \| moderate	12.719 \| fine	57 \| fine	24.134 \| good	1.115 \| good	2.938 \| good	0.229 \| good
2025-07-30T07:00:00.000Z	56 \| moderate	12.081 \| good	54.028 \| good	20.961 \| good	1.195 \| good	2.893 \| good	0.227 \| good
2025-07-30T08:00:00.000Z	58 \| moderate	12.554 \| fine	56.973 \| fine	19.968 \| good	1.275 \| good	2.848 \| good	0.226 \| good
2025-07-30T09:00:00.000Z	58 \| moderate	13.198 \| fine	59.099 \| fine	19.054 \| good	1.356 \| good	2.803 \| good	0.224 \| good
2025-07-30T10:00:00.000Z	56 \| moderate	11.682 \| good	51.096 \| good	13.743 \| good	1.343 \| good	2.852 \| good	0.229 \| good
2025-07-30T11:00:00.000Z	56 \| moderate	12.09 \| good	54.096 \| good	15.199 \| good	1.33 \| good	2.9 \| good	0.233 \| good
2025-07-30T12:00:00.000Z	56 \| moderate	11.965 \| good	53.929 \| good	23.861 \| good	1.318 \| good	2.948 \| good	0.237 \| good
2025-07-30T13:00:00.000Z	56 \| moderate	11.802 \| good	52.024 \| good	31.222 \| good	1.409 \| good	2.53 \| good	0.234 \| good
2025-07-30T14:00:00.000Z	56 \| moderate	12.084 \| good	54.094 \| good	36.932 \| good	1.5 \| good	2.112 \| good	0.231 \| good
2025-07-30T15:00:00.000Z	56 \| moderate	11.92 \| good	53.844 \| good	44.115 \| good	1.59 \| good	1.694 \| good	0.227 \| good
2025-07-30T16:00:00.000Z	54 \| moderate	11.177 \| good	49.074 \| good	47.975 \| good	1.436 \| good	1.457 \| good	0.216 \| good
2025-07-30T17:00:00.000Z	54 \| moderate	10.853 \| good	48.013 \| good	48.412 \| good	1.282 \| good	1.22 \| good	0.205 \| good
2025-07-30T18:00:00.000Z	52 \| moderate	10.048 \| good	44.956 \| good	46.692 \| good	1.127 \| good	0.983 \| good	0.194 \| good
2025-07-30T19:00:00.000Z	49 \| good	9.428 \| good	42.021 \| good	45.345 \| good	1.058 \| good	1.042 \| good	0.193 \| good
2025-07-30T20:00:00.000Z	49 \| good	8.668 \| good	38.025 \| good	46.276 \| good	0.989 \| good	1.102 \| good	0.191 \| good
2025-07-30T21:00:00.000Z	44 \| good	8.286 \| good	36.026 \| good	44.53 \| good	0.92 \| good	1.161 \| good	0.19 \| good
2025-07-30T22:00:00.000Z	49 \| good	8.873 \| good	38.986 \| good	41.973 \| good	0.913 \| good	2.293 \| good	0.207 \| good
2025-07-30T23:00:00.000Z	54 \| moderate	10.86 \| good	48.01 \| good	44.269 \| good	0.906 \| good	3.425 \| good	0.223 \| good
2025-07-31T00:00:00.000Z	52 \| moderate	9.696 \| good	43.079 \| good	43.233 \| good	0.899 \| good	4.558 \| good	0.24 \| good
2025-07-31T01:00:00.000Z	49 \| good	9.253 \| good	40.875 \| good	36.622 \| good	0.944 \| good	4.776 \| good	0.244 \| good
2025-07-31T02:00:00.000Z	52 \| moderate	9.714 \| good	42.918 \| good	29.435 \| good	0.99 \| good	4.995 \| good	0.247 \| good
2025-07-31T03:00:00.000Z	52 \| moderate	9.572 \| good	42.965 \| good	24.791 \| good	1.036 \| good	5.214 \| good	0.251 \| good
2025-07-31T04:00:00.000Z	49 \| good	9.459 \| good	42.089 \| good	22.35 \| good	1.077 \| good	4.568 \| good	0.243 \| good
2025-07-31T05:00:00.000Z	49 \| good	9.131 \| good	40.962 \| good	20.083 \| good	1.118 \| good	3.922 \| good	0.235 \| good
2025-07-31T06:00:00.000Z	60 \| moderate	14.104 \| fine	14.486 \| good	46.428 \| good	1.168 \| good	3.29 \| good	0.227 \| good
2025-07-31T07:00:00.000Z	49 \| good	8.562 \| good	37.096 \| good	16.681 \| good	1.171 \| good	3.182 \| good	0.227 \| good
2025-07-31T08:00:00.000Z	49 \| good	9.241 \| good	40.971 \| good	17.405 \| good	1.184 \| good	3.088 \| good	0.227 \| good
2025-07-31T09:00:00.000Z	52 \| moderate	9.689 \| good	43.1 \| good	19.418 \| good	1.196 \| good	2.995 \| good	0.227 \| good
2025-07-31T10:00:00.000Z	38 \| good	7.377 \| good	32.142 \| good	17.362 \| good	1.156 \| good	3.033 \| good	0.235 \| good
2025-07-31T11:00:00.000Z	38 \| good	7.147 \| good	32 \| good	19.361 \| good	1.115 \| good	3.071 \| good	0.243 \| good
2025-07-31T12:00:00.000Z	58 \| moderate	13.101 \| fine	13.303 \| good	36.497 \| good	1.069 \| good	3.121 \| good	0.252 \| good

La Plata

Empower business decisions with accurate air quality data

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

0.38ppm

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 09:00:00, 2025-07-29.

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 02:00:00 on 2025-07-28.

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 44.

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

In La Plata, Maryland, PM2.5 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 7.981 μg/m³.

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

La Plata, Maryland currently has a PM₁₀ concentration of 40.018 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 0.373 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 0.162 ppb.

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

La Plata, Maryland currently has an ozone (O₃) concentration of 9.694 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 5.554 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-28T04:00:00.000Z	18 \| good	3.41 \| good	12.915 \| good	19.233 \| good	0.186 \| good	4.78 \| good	0.263 \| good
2025-07-28T05:00:00.000Z	16 \| good	3.025 \| good	11.337 \| good	12.784 \| good	0.191 \| good	4.852 \| good	0.239 \| good
2025-07-28T06:00:00.000Z	11 \| good	2.18 \| good	8.951 \| good	12.074 \| good	0.225 \| good	5.556 \| good	0.225 \| good
2025-07-28T07:00:00.000Z	16 \| good	3.146 \| good	11.922 \| good	10.03 \| good	0.249 \| good	4.836 \| good	0.21 \| good
2025-07-28T08:00:00.000Z	22 \| good	3.939 \| good	13.678 \| good	6.678 \| good	0.22 \| good	5.216 \| good	0.21 \| good
2025-07-28T09:00:00.000Z	27 \| good	5.075 \| good	20.779 \| good	10.504 \| good	0.238 \| good	3.273 \| good	0.196 \| good
2025-07-28T10:00:00.000Z	27 \| good	5.216 \| good	26.684 \| good	11.628 \| good	0.255 \| good	3.915 \| good	0.196 \| good
2025-07-28T11:00:00.000Z	22 \| good	4.439 \| good	13.969 \| good	18.193 \| good	0.331 \| good	5.412 \| good	0.206 \| good
2025-07-28T12:00:00.000Z	33 \| good	5.687 \| good	29.365 \| good	17.461 \| good	0.395 \| good	5.774 \| good	0.215 \| good
2025-07-28T13:00:00.000Z	27 \| good	4.614 \| good	21.868 \| good	25.87 \| good	0.963 \| good	4.863 \| good	0.199 \| good
2025-07-28T14:00:00.000Z	27 \| good	4.512 \| good	16.986 \| good	27.482 \| good	0.294 \| good	4.678 \| good	0.186 \| good
2025-07-28T15:00:00.000Z	33 \| good	5.965 \| good	24.28 \| good	28.986 \| good	0.233 \| good	4.079 \| good	0.226 \| good
2025-07-28T16:00:00.000Z	38 \| good	6.418 \| good	24.116 \| good	41.464 \| good	0.264 \| good	3.258 \| good	0.226 \| good
2025-07-28T17:00:00.000Z	44 \| good	8.47 \| good	36.411 \| good	40.124 \| good	0.354 \| good	2.688 \| good	0.226 \| good
2025-07-28T18:00:00.000Z	49 \| good	9.438 \| good	32.823 \| good	38.497 \| good	0.277 \| good	2.553 \| good	0.191 \| good
2025-07-28T19:00:00.000Z	44 \| good	8.327 \| good	21.381 \| good	44.659 \| good	0.196 \| good	2.211 \| good	0.165 \| good
2025-07-28T20:00:00.000Z	44 \| good	6.679 \| good	28.706 \| good	47.778 \| good	0.161 \| good	2.392 \| good	0.191 \| good
2025-07-28T21:00:00.000Z	45 \| good	6.722 \| good	23.604 \| good	49.265 \| good	0.174 \| good	2.103 \| good	0.212 \| good
2025-07-28T22:00:00.000Z	44 \| good	8.08 \| good	31.474 \| good	47.242 \| good	0.177 \| good	0.943 \| good	0.212 \| good
2025-07-28T23:00:00.000Z	44 \| good	8.209 \| good	42.668 \| good	45.368 \| good	0.134 \| good	1.093 \| good	0.212 \| good
2025-07-29T00:00:00.000Z	46 \| good	7.768 \| good	18.598 \| good	49.786 \| good	0.193 \| good	2.002 \| good	0.236 \| good
2025-07-29T01:00:00.000Z	41 \| good	7.43 \| good	28.994 \| good	43.868 \| good	0.143 \| good	2.095 \| good	0.221 \| good
2025-07-29T02:00:00.000Z	38 \| good	6.539 \| good	28.946 \| good	37.98 \| good	0.14 \| good	3.59 \| good	0.255 \| good
2025-07-29T03:00:00.000Z	44 \| good	7.528 \| good	26.544 \| good	27.435 \| good	0.18 \| good	8.878 \| good	0.333 \| good
2025-07-29T04:00:00.000Z	49 \| good	8.614 \| good	27.29 \| good	24.305 \| good	0.191 \| good	9.396 \| good	0.333 \| good
2025-07-29T05:00:00.000Z	44 \| good	8.129 \| good	26.31 \| good	19.445 \| good	0.194 \| good	7.968 \| good	0.381 \| good
2025-07-29T06:00:00.000Z	44 \| good	7.968 \| good	27.457 \| good	25.17 \| good	0.142 \| good	7.227 \| good	0.38 \| good
2025-07-29T07:00:00.000Z	49 \| good	8.61 \| good	23.515 \| good	25.59 \| good	0.191 \| good	7.835 \| good	0.404 \| good
2025-07-29T08:00:00.000Z	49 \| good	9.31 \| good	33.579 \| good	18.533 \| good	0.26 \| good	7.136 \| good	0.404 \| good
2025-07-29T09:00:00.000Z	49 \| good	9.473 \| good	33.943 \| good	17.543 \| good	0.195 \| good	5.37 \| good	0.38 \| good
2025-07-29T10:00:00.000Z	44 \| good	7.999 \| good	41.31 \| good	17.825 \| good	0.226 \| good	3.564 \| good	0.407 \| good
2025-07-29T11:00:00.000Z	44 \| good	8.359 \| good	35.548 \| good	7.071 \| good	0.236 \| good	5.169 \| good	0.394 \| good
2025-07-29T12:00:00.000Z	44 \| good	7.981 \| good	40.018 \| good	9.694 \| good	0.162 \| good	5.554 \| good	0.373 \| good
2025-07-29T13:00:00.000Z	49 \| good	9.133 \| good	50.328 \| good	9.534 \| good	0.16 \| good	6.025 \| good	0.401 \| good
2025-07-29T14:00:00.000Z	49 \| good	9.392 \| good	35.616 \| good	12.524 \| good	0.181 \| good	5.359 \| good	0.409 \| good
2025-07-29T15:00:00.000Z	44 \| good	7.79 \| good	29.489 \| good	29.477 \| good	0.222 \| good	6.576 \| good	0.305 \| good
2025-07-29T16:00:00.000Z	44 \| good	7.857 \| good	20.16 \| good	44.876 \| good	0.281 \| good	3.7 \| good	0.241 \| good
2025-07-29T17:00:00.000Z	44 \| good	7.907 \| good	36.843 \| good	48.353 \| good	0.237 \| good	4.074 \| good	0.226 \| good
2025-07-29T18:00:00.000Z	49 \| good	9.059 \| good	40.339 \| good	50.205 \| good	0.273 \| good	5.028 \| good	0.265 \| good
2025-07-29T19:00:00.000Z	52 \| moderate	9.585 \| good	35.099 \| good	49.365 \| good	0.282 \| good	3.867 \| good	0.255 \| good
2025-07-29T20:00:00.000Z	64 \| moderate	9.405 \| good	30.058 \| good	58.916 \| fine	0.227 \| good	3.663 \| good	0.239 \| good
2025-07-29T21:00:00.000Z	58 \| moderate	12.08 \| good	42.422 \| good	56.941 \| fine	0.167 \| good	3.477 \| good	0.226 \| good
2025-07-29T22:00:00.000Z	58 \| moderate	12.337 \| fine	56.903 \| fine	57.439 \| fine	0.144 \| good	1.699 \| good	0.3 \| good
2025-07-29T23:00:00.000Z	58 \| moderate	13.401 \| fine	55.854 \| fine	48.223 \| good	0.195 \| good	1.544 \| good	0.3 \| good
2025-07-30T00:00:00.000Z	49 \| good	9.316 \| good	40.446 \| good	41.96 \| good	0.25 \| good	1.913 \| good	0.316 \| good
2025-07-30T01:00:00.000Z	52 \| moderate	9.741 \| good	41.872 \| good	41.296 \| good	0.13 \| good	4.622 \| good	0.385 \| good
2025-07-30T02:00:00.000Z	52 \| moderate	10.3 \| good	31.051 \| good	45.373 \| good	0.147 \| good	6.812 \| good	0.361 \| good
2025-07-30T03:00:00.000Z	54 \| moderate	11.371 \| good	50.08 \| good	25.94 \| good	1.062 \| good	10.355 \| good	0.333 \| good
2025-07-30T03:00:00.000Z	54 \| moderate	11.371 \| good	50.08 \| good	25.94 \| good	1.062 \| good	10.355 \| good	0.333 \| good
2025-07-29T13:00:00.000Z	64 \| moderate	15.603 \| fine	69.27 \| fine	45.772 \| good	1.415 \| good	4.456 \| good	0.294 \| good
2025-07-29T14:00:00.000Z	62 \| moderate	14.531 \| fine	65.106 \| fine	53.383 \| good	1.788 \| good	3.237 \| good	0.257 \| good
2025-07-29T15:00:00.000Z	58 \| moderate	12.813 \| fine	57.331 \| fine	54.388 \| good	2.162 \| good	2.017 \| good	0.219 \| good
2025-07-29T16:00:00.000Z	61 \| moderate	11.309 \| good	50.234 \| good	57.827 \| fine	2.025 \| good	1.721 \| good	0.213 \| good
2025-07-29T17:00:00.000Z	64 \| moderate	11.072 \| good	49.32 \| good	58.609 \| fine	1.888 \| good	1.425 \| good	0.206 \| good
2025-07-29T18:00:00.000Z	61 \| moderate	9.936 \| good	44.306 \| good	58.242 \| fine	1.75 \| good	1.129 \| good	0.199 \| good
2025-07-29T19:00:00.000Z	52 \| moderate	10.42 \| good	46.399 \| good	55.327 \| fine	1.674 \| good	1.198 \| good	0.197 \| good
2025-07-29T20:00:00.000Z	52 \| moderate	10.165 \| good	45.27 \| good	51.529 \| good	1.597 \| good	1.267 \| good	0.195 \| good
2025-07-29T21:00:00.000Z	52 \| moderate	10.173 \| good	45.248 \| good	52.118 \| good	1.521 \| good	1.335 \| good	0.193 \| good
2025-07-29T22:00:00.000Z	54 \| moderate	11.069 \| good	49.084 \| good	46.916 \| good	1.447 \| good	3.525 \| good	0.226 \| good
2025-07-29T23:00:00.000Z	54 \| moderate	10.755 \| good	48.026 \| good	40.53 \| good	1.372 \| good	5.714 \| good	0.26 \| good
2025-07-30T00:00:00.000Z	52 \| moderate	10.387 \| good	46.042 \| good	41.203 \| good	1.298 \| good	7.903 \| good	0.293 \| good
2025-07-30T01:00:00.000Z	54 \| moderate	11.081 \| good	48.967 \| good	36.919 \| good	1.244 \| good	7.34 \| good	0.288 \| good
2025-07-30T02:00:00.000Z	58 \| moderate	12.719 \| fine	57 \| fine	34.757 \| good	1.191 \| good	6.777 \| good	0.284 \| good
2025-07-30T03:00:00.000Z	60 \| moderate	13.964 \| fine	63 \| fine	31.1 \| good	1.137 \| good	6.214 \| good	0.279 \| good
2025-07-30T04:00:00.000Z	58 \| moderate	13.326 \| fine	60.863 \| fine	26.214 \| good	1.13 \| good	5.122 \| good	0.262 \| good
2025-07-30T05:00:00.000Z	58 \| moderate	12.724 \| fine	57.016 \| fine	26.055 \| good	1.123 \| good	4.03 \| good	0.246 \| good
2025-07-30T06:00:00.000Z	58 \| moderate	12.719 \| fine	57 \| fine	24.134 \| good	1.115 \| good	2.938 \| good	0.229 \| good
2025-07-30T07:00:00.000Z	56 \| moderate	12.081 \| good	54.028 \| good	20.961 \| good	1.195 \| good	2.893 \| good	0.227 \| good
2025-07-30T08:00:00.000Z	58 \| moderate	12.554 \| fine	56.973 \| fine	19.968 \| good	1.275 \| good	2.848 \| good	0.226 \| good
2025-07-30T09:00:00.000Z	58 \| moderate	13.198 \| fine	59.099 \| fine	19.054 \| good	1.356 \| good	2.803 \| good	0.224 \| good
2025-07-30T10:00:00.000Z	56 \| moderate	11.682 \| good	51.096 \| good	13.743 \| good	1.343 \| good	2.852 \| good	0.229 \| good
2025-07-30T11:00:00.000Z	56 \| moderate	12.09 \| good	54.096 \| good	15.199 \| good	1.33 \| good	2.9 \| good	0.233 \| good
2025-07-30T12:00:00.000Z	56 \| moderate	11.965 \| good	53.929 \| good	23.861 \| good	1.318 \| good	2.948 \| good	0.237 \| good
2025-07-30T13:00:00.000Z	56 \| moderate	11.802 \| good	52.024 \| good	31.222 \| good	1.409 \| good	2.53 \| good	0.234 \| good
2025-07-30T14:00:00.000Z	56 \| moderate	12.084 \| good	54.094 \| good	36.932 \| good	1.5 \| good	2.112 \| good	0.231 \| good
2025-07-30T15:00:00.000Z	56 \| moderate	11.92 \| good	53.844 \| good	44.115 \| good	1.59 \| good	1.694 \| good	0.227 \| good
2025-07-30T16:00:00.000Z	54 \| moderate	11.177 \| good	49.074 \| good	47.975 \| good	1.436 \| good	1.457 \| good	0.216 \| good
2025-07-30T17:00:00.000Z	54 \| moderate	10.853 \| good	48.013 \| good	48.412 \| good	1.282 \| good	1.22 \| good	0.205 \| good
2025-07-30T18:00:00.000Z	52 \| moderate	10.048 \| good	44.956 \| good	46.692 \| good	1.127 \| good	0.983 \| good	0.194 \| good
2025-07-30T19:00:00.000Z	49 \| good	9.428 \| good	42.021 \| good	45.345 \| good	1.058 \| good	1.042 \| good	0.193 \| good
2025-07-30T20:00:00.000Z	49 \| good	8.668 \| good	38.025 \| good	46.276 \| good	0.989 \| good	1.102 \| good	0.191 \| good
2025-07-30T21:00:00.000Z	44 \| good	8.286 \| good	36.026 \| good	44.53 \| good	0.92 \| good	1.161 \| good	0.19 \| good
2025-07-30T22:00:00.000Z	49 \| good	8.873 \| good	38.986 \| good	41.973 \| good	0.913 \| good	2.293 \| good	0.207 \| good
2025-07-30T23:00:00.000Z	54 \| moderate	10.86 \| good	48.01 \| good	44.269 \| good	0.906 \| good	3.425 \| good	0.223 \| good
2025-07-31T00:00:00.000Z	52 \| moderate	9.696 \| good	43.079 \| good	43.233 \| good	0.899 \| good	4.558 \| good	0.24 \| good
2025-07-31T01:00:00.000Z	49 \| good	9.253 \| good	40.875 \| good	36.622 \| good	0.944 \| good	4.776 \| good	0.244 \| good
2025-07-31T02:00:00.000Z	52 \| moderate	9.714 \| good	42.918 \| good	29.435 \| good	0.99 \| good	4.995 \| good	0.247 \| good
2025-07-31T03:00:00.000Z	52 \| moderate	9.572 \| good	42.965 \| good	24.791 \| good	1.036 \| good	5.214 \| good	0.251 \| good
2025-07-31T04:00:00.000Z	49 \| good	9.459 \| good	42.089 \| good	22.35 \| good	1.077 \| good	4.568 \| good	0.243 \| good
2025-07-31T05:00:00.000Z	49 \| good	9.131 \| good	40.962 \| good	20.083 \| good	1.118 \| good	3.922 \| good	0.235 \| good
2025-07-31T06:00:00.000Z	60 \| moderate	14.104 \| fine	14.486 \| good	46.428 \| good	1.168 \| good	3.29 \| good	0.227 \| good
2025-07-31T07:00:00.000Z	49 \| good	8.562 \| good	37.096 \| good	16.681 \| good	1.171 \| good	3.182 \| good	0.227 \| good
2025-07-31T08:00:00.000Z	49 \| good	9.241 \| good	40.971 \| good	17.405 \| good	1.184 \| good	3.088 \| good	0.227 \| good
2025-07-31T09:00:00.000Z	52 \| moderate	9.689 \| good	43.1 \| good	19.418 \| good	1.196 \| good	2.995 \| good	0.227 \| good
2025-07-31T10:00:00.000Z	38 \| good	7.377 \| good	32.142 \| good	17.362 \| good	1.156 \| good	3.033 \| good	0.235 \| good
2025-07-31T11:00:00.000Z	38 \| good	7.147 \| good	32 \| good	19.361 \| good	1.115 \| good	3.071 \| good	0.243 \| good
2025-07-31T12:00:00.000Z	58 \| moderate	13.101 \| fine	13.303 \| good	36.497 \| good	1.069 \| good	3.121 \| good	0.252 \| 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

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Air quality levels in US

Frequently asked questions

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

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

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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?

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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?