What are the current PM10 levels at Rosaryville, Maryland?

The current PM10 levels in Rosaryville, Maryland are 17.307 μg/m3.

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

The current sulfur dioxide (SO2) levels in Rosaryville, Maryland are 0.298 ppb.

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

The current ozone (O3) levels at Rosaryville, Maryland is 35.873 ppm.

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

The current nitrogen dioxide (NO2) levels at Rosaryville, Maryland is 4.382 ppb.

Real-time air quality index in Rosaryville, Maryland today

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

Stay updated with real-time air quality in Rosaryville, 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

Rosaryville, Maryland

Last updated: ... (Local time)

Common air pollutants in Rosaryville, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.00 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

17.31 μg/m³

155

255

425

605+

Ozone (O₃)

35.87 ppb

201

201+

Sulfur Dioxide (SO₂)

0.30 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.38 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Rosaryville, Maryland

Get Live Pollen Counts

Rosaryville, Maryland

Scroll To Air Quality Map

Track live Rosaryville, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	43 \| good	7.166 \| good	19.915 \| good	45.522 \| good	0.286 \| good	2.559 \| good	0.179 \| good
2025-10-19T22:00:00.000Z	35 \| good	4.842 \| good	13.698 \| good	38.107 \| good	0.3 \| good	2.864 \| good	0.179 \| good
2025-10-19T23:00:00.000Z	37 \| good	4.759 \| good	14.046 \| good	40.404 \| good	0.314 \| good	2.555 \| good	0.179 \| good
2025-10-20T00:00:00.000Z	38 \| good	4.678 \| good	18.614 \| good	41.237 \| good	0.272 \| good	4.665 \| good	0.179 \| good
2025-10-20T01:00:00.000Z	36 \| good	4.489 \| good	19.314 \| good	39.112 \| good	0.246 \| good	4.047 \| good	0.205 \| good
2025-10-20T02:00:00.000Z	31 \| good	4.277 \| good	19.055 \| good	33.46 \| good	0.244 \| good	3.082 \| good	0.205 \| good
2025-10-20T03:00:00.000Z	35 \| good	4.717 \| good	16.668 \| good	37.758 \| good	0.232 \| good	1.375 \| good	0.147 \| good
2025-10-20T04:00:00.000Z	34 \| good	4.293 \| good	9.638 \| good	37.264 \| good	0.198 \| good	1.91 \| good	0.147 \| good
2025-10-20T05:00:00.000Z	30 \| good	2.562 \| good	8.727 \| good	32.029 \| good	0.223 \| good	2.059 \| good	0.147 \| good
2025-10-20T06:00:00.000Z	31 \| good	1.692 \| good	8.649 \| good	34.063 \| good	0.131 \| good	2.986 \| good	0.147 \| good
2025-10-20T07:00:00.000Z	31 \| good	2.394 \| good	6.816 \| good	32.683 \| good	0.169 \| good	2.124 \| good	0.147 \| good
2025-10-20T08:00:00.000Z	29 \| good	2.438 \| good	6.631 \| good	30.563 \| good	0.143 \| good	3.639 \| good	0.147 \| good
2025-10-20T09:00:00.000Z	25 \| good	1.351 \| good	4.47 \| good	27.382 \| good	0.182 \| good	4.888 \| good	0.178 \| good
2025-10-20T10:00:00.000Z	22 \| good	1.417 \| good	3.856 \| good	24.318 \| good	0.179 \| good	2.344 \| good	0.147 \| good
2025-10-20T11:00:00.000Z	23 \| good	1.684 \| good	4.105 \| good	24.522 \| good	0.178 \| good	2.95 \| good	0.14 \| good
2025-10-20T12:00:00.000Z	23 \| good	1.5 \| good	5.965 \| good	24.677 \| good	0.195 \| good	3.203 \| good	0.12 \| good
2025-10-20T13:00:00.000Z	19 \| good	1.519 \| good	6.103 \| good	21.462 \| good	0.158 \| good	6.593 \| good	0.166 \| good
2025-10-20T14:00:00.000Z	21 \| good	2.99 \| good	14.971 \| good	23.359 \| good	0.192 \| good	6.909 \| good	0.19 \| good
2025-10-20T15:00:00.000Z	24 \| good	2.068 \| good	6.817 \| good	26.26 \| good	0.273 \| good	3.452 \| good	0.146 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.067 \| good	6.977 \| good	28.183 \| good	0.238 \| good	2.37 \| good	0.12 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.237 \| good	6.328 \| good	28.873 \| good	0.207 \| good	1.953 \| good	0.137 \| good
2025-10-20T18:00:00.000Z	29 \| good	1.394 \| good	7.507 \| good	31.233 \| good	0.193 \| good	1.776 \| good	0.146 \| good
2025-10-20T19:00:00.000Z	31 \| good	1.662 \| good	10.41 \| good	32.932 \| good	0.186 \| good	1.702 \| good	0.146 \| good
2025-10-20T20:00:00.000Z	31 \| good	1.275 \| good	10.837 \| good	34.088 \| good	0.193 \| good	1.759 \| good	0.146 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.058 \| good	11.599 \| good	33.574 \| good	0.157 \| good	1.993 \| good	0.146 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.159 \| good	10.588 \| good	33.429 \| good	0.185 \| good	2.765 \| good	0.146 \| good
2025-10-20T23:00:00.000Z	29 \| good	1.841 \| good	9.614 \| good	30.885 \| good	0.184 \| good	2.586 \| good	0.146 \| good
2025-10-21T00:00:00.000Z	27 \| good	2.602 \| good	10.943 \| good	29.275 \| good	0.21 \| good	3.364 \| good	0.146 \| good
2025-10-21T01:00:00.000Z	19 \| good	3.283 \| good	12.335 \| good	21.08 \| good	0.195 \| good	5.192 \| good	0.183 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.847 \| good	13.359 \| good	21.524 \| good	0.161 \| good	9.345 \| good	0.259 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.855 \| good	34.046 \| good	11.708 \| good	2.21 \| good	20.648 \| good	0.254 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	9.955 \| good	15.168 \| good	14.491 \| good	0.247 \| good	19.375 \| good	0.373 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.037 \| good	18.599 \| good	8.661 \| good	0.197 \| good	20.885 \| good	0.384 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.182 \| good	16.9 \| good	5.854 \| good	0.185 \| good	19.887 \| good	0.39 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.504 \| good	16.288 \| good	8.276 \| good	0.185 \| good	20.899 \| good	0.369 \| good
2025-10-21T08:00:00.000Z	44 \| good	7.647 \| good	22.853 \| good	5.235 \| good	0.231 \| good	19.425 \| good	0.37 \| good
2025-10-21T09:00:00.000Z	49 \| good	9.411 \| good	13.479 \| good	5.116 \| good	0.231 \| good	17.545 \| good	0.347 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.528 \| good	18.056 \| good	6.001 \| good	0.305 \| good	15.469 \| good	0.347 \| good
2025-10-21T11:00:00.000Z	54 \| moderate	10.859 \| good	11.898 \| good	4.675 \| good	0.317 \| good	15.854 \| good	0.38 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.464 \| good	9.984 \| good	6.425 \| good	0.365 \| good	15.555 \| good	0.553 \| good
2025-10-21T13:00:00.000Z	38 \| good	7.324 \| good	14.066 \| good	3.866 \| good	0.437 \| good	16.729 \| good	0.666 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.491 \| good	13.556 \| good	5.555 \| good	0.361 \| good	18.109 \| good	0.71 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.542 \| good	18.317 \| good	15.078 \| good	0.4 \| good	15.649 \| good	0.558 \| good
2025-10-21T16:00:00.000Z	23 \| good	4.303 \| good	25.057 \| good	18.93 \| good	0.444 \| good	11.718 \| good	0.294 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.439 \| good	17.795 \| good	23.236 \| good	0.342 \| good	8.233 \| good	0.177 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.302 \| good	13.002 \| good	29.861 \| good	0.326 \| good	4.826 \| good	0.149 \| good
2025-10-21T19:00:00.000Z	34 \| good	3.632 \| good	13.401 \| good	36.977 \| good	0.286 \| good	3.745 \| good	0.149 \| good
2025-10-21T20:00:00.000Z	39 \| good	3.942 \| good	17.79 \| good	42.001 \| good	0.306 \| good	3.517 \| good	0.177 \| good
2025-10-21T20:00:00.000Z	33 \| good	4 \| good	17.307 \| good	35.873 \| good	0.298 \| good	4.382 \| good	0.185 \| good
2025-10-16T21:00:00.000Z	29 \| good	1.234 \| good	5.084 \| good	31.084 \| good	0.691 \| good	2.243 \| good	0.141 \| good
2025-10-16T22:00:00.000Z	27 \| good	0.429 \| good	1.556 \| good	28.872 \| good	0.786 \| good	4.838 \| good	0.157 \| good
2025-10-16T23:00:00.000Z	24 \| good	0.598 \| good	2.121 \| good	26.136 \| good	0.88 \| good	7.432 \| good	0.174 \| good
2025-10-17T00:00:00.000Z	17 \| good	0.573 \| good	2.102 \| good	18.089 \| good	0.974 \| good	10.026 \| good	0.191 \| good
2025-10-17T01:00:00.000Z	14 \| good	1.831 \| good	7.556 \| good	15.233 \| good	1.07 \| good	9.273 \| good	0.184 \| good
2025-10-17T02:00:00.000Z	16 \| good	2.707 \| good	11.072 \| good	11.228 \| good	1.165 \| good	8.52 \| good	0.177 \| good
2025-10-17T03:00:00.000Z	16 \| good	2.733 \| good	11.121 \| good	9.354 \| good	1.261 \| good	7.767 \| good	0.17 \| good
2025-10-17T04:00:00.000Z	11 \| good	2.057 \| good	8.296 \| good	12.037 \| good	1.362 \| good	6.83 \| good	0.162 \| good
2025-10-17T05:00:00.000Z	13 \| good	1.41 \| good	5.465 \| good	14.113 \| good	1.464 \| good	5.893 \| good	0.155 \| good
2025-10-17T06:00:00.000Z	12 \| good	1.214 \| good	5.119 \| good	13.492 \| good	1.565 \| good	4.956 \| good	0.148 \| good
2025-10-17T07:00:00.000Z	11 \| good	1.02 \| good	4.151 \| good	12.437 \| good	1.42 \| good	4.881 \| good	0.147 \| good
2025-10-17T08:00:00.000Z	10 \| good	1.442 \| good	5.5 \| good	10.579 \| good	1.275 \| good	4.806 \| good	0.146 \| good
2025-10-17T09:00:00.000Z	7 \| good	0.649 \| good	2.216 \| good	7.682 \| good	1.13 \| good	4.732 \| good	0.145 \| good
2025-10-17T10:00:00.000Z	6 \| good	0.943 \| good	3.666 \| good	5.252 \| good	1.096 \| good	5.605 \| good	0.154 \| good
2025-10-17T11:00:00.000Z	6 \| good	0.97 \| good	3.782 \| good	4.218 \| good	1.062 \| good	6.478 \| good	0.162 \| good
2025-10-17T12:00:00.000Z	11 \| good	2.352 \| good	9.772 \| good	7.825 \| good	1.028 \| good	7.351 \| good	0.171 \| good
2025-10-17T13:00:00.000Z	22 \| good	4.382 \| good	19.144 \| good	15.271 \| good	1.312 \| good	6.326 \| good	0.17 \| good
2025-10-17T14:00:00.000Z	20 \| good	3.241 \| good	14.478 \| good	21.863 \| good	1.597 \| good	5.301 \| good	0.169 \| good
2025-10-17T15:00:00.000Z	24 \| good	1.222 \| good	4.741 \| good	26.354 \| good	1.881 \| good	4.276 \| good	0.167 \| good
2025-10-17T16:00:00.000Z	28 \| good	1.243 \| good	5.15 \| good	30.235 \| good	1.737 \| good	3.629 \| good	0.162 \| good
2025-10-17T17:00:00.000Z	32 \| good	1.47 \| good	5.903 \| good	34.529 \| good	1.594 \| good	2.982 \| good	0.158 \| good
2025-10-17T18:00:00.000Z	34 \| good	2.445 \| good	10.035 \| good	36.796 \| good	1.45 \| good	2.335 \| good	0.153 \| good
2025-10-17T19:00:00.000Z	35 \| good	2.702 \| good	11.009 \| good	37.586 \| good	1.397 \| good	2.622 \| good	0.155 \| good
2025-10-17T20:00:00.000Z	35 \| good	4.588 \| good	19.944 \| good	37.572 \| good	1.344 \| good	2.909 \| good	0.157 \| good
2025-10-17T21:00:00.000Z	33 \| good	3.784 \| good	16.405 \| good	35.834 \| good	1.292 \| good	3.196 \| good	0.16 \| good
2025-10-17T22:00:00.000Z	26 \| good	3.26 \| good	14.123 \| good	28.059 \| good	1.368 \| good	12.362 \| good	0.247 \| good
2025-10-17T23:00:00.000Z	21 \| good	1.317 \| good	5.092 \| good	21.468 \| good	1.444 \| good	21.527 \| good	0.335 \| good
2025-10-18T00:00:00.000Z	29 \| good	0.928 \| good	3.722 \| good	14.269 \| good	1.52 \| good	30.693 \| good	0.422 \| good
2025-10-18T01:00:00.000Z	30 \| good	2.113 \| good	8.514 \| good	13.138 \| good	1.603 \| good	32.213 \| good	0.481 \| good
2025-10-18T02:00:00.000Z	32 \| good	2.277 \| good	9.628 \| good	8.805 \| good	1.686 \| good	33.733 \| good	0.539 \| good
2025-10-18T03:00:00.000Z	33 \| good	3.61 \| good	15.873 \| good	6.574 \| good	1.769 \| good	35.254 \| good	0.597 \| good
2025-10-18T04:00:00.000Z	33 \| good	4.803 \| good	21.144 \| good	5.697 \| good	1.71 \| good	34.67 \| good	0.604 \| good
2025-10-18T05:00:00.000Z	32 \| good	4.632 \| good	20.217 \| good	4.507 \| good	1.65 \| good	34.086 \| good	0.61 \| good
2025-10-18T06:00:00.000Z	32 \| good	4.905 \| good	21.301 \| good	3.63 \| good	1.591 \| good	33.502 \| good	0.617 \| good
2025-10-18T07:00:00.000Z	30 \| good	5.316 \| good	23.31 \| good	3.934 \| good	1.568 \| good	31.873 \| good	0.556 \| good
2025-10-18T08:00:00.000Z	33 \| good	6.14 \| good	26.892 \| good	2.32 \| good	1.545 \| good	30.245 \| good	0.495 \| good
2025-10-18T09:00:00.000Z	33 \| good	5.983 \| good	26.136 \| good	2.774 \| good	1.522 \| good	28.617 \| good	0.434 \| good
2025-10-18T10:00:00.000Z	38 \| good	7.47 \| good	32.841 \| good	2.89 \| good	1.517 \| good	27.254 \| good	0.43 \| good
2025-10-18T11:00:00.000Z	44 \| good	7.575 \| good	33.674 \| good	2.468 \| good	1.511 \| good	25.892 \| good	0.427 \| good
2025-10-18T12:00:00.000Z	49 \| good	8.552 \| good	37.953 \| good	1.899 \| good	1.506 \| good	24.53 \| good	0.423 \| good
2025-10-18T13:00:00.000Z	52 \| moderate	10.208 \| good	45.417 \| good	6.331 \| good	1.659 \| good	19.317 \| good	0.364 \| good
2025-10-18T14:00:00.000Z	44 \| good	8.165 \| good	35.993 \| good	16.788 \| good	1.812 \| good	14.104 \| good	0.305 \| good
2025-10-18T15:00:00.000Z	44 \| good	7.683 \| good	33.929 \| good	25.554 \| good	1.965 \| good	8.89 \| good	0.245 \| good
2025-10-18T16:00:00.000Z	38 \| good	7.297 \| good	31.957 \| good	31.672 \| good	2.528 \| good	6.682 \| good	0.222 \| good
2025-10-18T17:00:00.000Z	38 \| good	6.953 \| good	30.843 \| good	37.021 \| good	3.091 \| good	4.474 \| good	0.198 \| good
2025-10-18T18:00:00.000Z	38 \| good	6.94 \| good	30.635 \| good	40.257 \| good	3.655 \| good	2.266 \| good	0.174 \| good
2025-10-18T19:00:00.000Z	38 \| good	6.61 \| good	29.446 \| good	41.352 \| good	3.535 \| good	2.381 \| good	0.174 \| good
2025-10-18T20:00:00.000Z	44 \| good	7.563 \| good	33.12 \| good	41.068 \| good	3.416 \| good	2.497 \| good	0.174 \| good

Rosaryville

Empower business decisions with accurate air quality data

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

0.12ppm

How accurate is Maryland, USA air quality data?

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

Source: Ambee Data Sources

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Check live rankings of places in the USA affected by air pollution.

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Frequently asked questions

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

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

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

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

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

The best air quality in Rosaryville, Maryland was recorded at 01:00:00 on 2025-10-21.

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

The real-time air quality index in Rosaryville, Maryland is 33, currently categorized as Good.

Which pollutant is found most often in Rosaryville, Maryland?

The most common pollutant in Rosaryville, Maryland is O3.

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

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

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

The measured PM_2.5 levels in Rosaryville, Maryland at present are 4 μg/m³.

What are the current PM₁₀ levels at Rosaryville, Maryland?

The current PM₁₀ levels in Rosaryville, Maryland are 17.307 μg/m³.

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

The current carbon monoxide (CO) level in Rosaryville, Maryland is 0.185 ppm.

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

The current sulfur dioxide (SO₂) levels in Rosaryville, Maryland are 0.298 ppb.

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

The current ozone (O₃) levels at Rosaryville, Maryland is 35.873 ppm.

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

The current nitrogen dioxide (NO₂) levels at Rosaryville, Maryland is 4.382 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	43 \| good	7.166 \| good	19.915 \| good	45.522 \| good	0.286 \| good	2.559 \| good	0.179 \| good
2025-10-19T22:00:00.000Z	35 \| good	4.842 \| good	13.698 \| good	38.107 \| good	0.3 \| good	2.864 \| good	0.179 \| good
2025-10-19T23:00:00.000Z	37 \| good	4.759 \| good	14.046 \| good	40.404 \| good	0.314 \| good	2.555 \| good	0.179 \| good
2025-10-20T00:00:00.000Z	38 \| good	4.678 \| good	18.614 \| good	41.237 \| good	0.272 \| good	4.665 \| good	0.179 \| good
2025-10-20T01:00:00.000Z	36 \| good	4.489 \| good	19.314 \| good	39.112 \| good	0.246 \| good	4.047 \| good	0.205 \| good
2025-10-20T02:00:00.000Z	31 \| good	4.277 \| good	19.055 \| good	33.46 \| good	0.244 \| good	3.082 \| good	0.205 \| good
2025-10-20T03:00:00.000Z	35 \| good	4.717 \| good	16.668 \| good	37.758 \| good	0.232 \| good	1.375 \| good	0.147 \| good
2025-10-20T04:00:00.000Z	34 \| good	4.293 \| good	9.638 \| good	37.264 \| good	0.198 \| good	1.91 \| good	0.147 \| good
2025-10-20T05:00:00.000Z	30 \| good	2.562 \| good	8.727 \| good	32.029 \| good	0.223 \| good	2.059 \| good	0.147 \| good
2025-10-20T06:00:00.000Z	31 \| good	1.692 \| good	8.649 \| good	34.063 \| good	0.131 \| good	2.986 \| good	0.147 \| good
2025-10-20T07:00:00.000Z	31 \| good	2.394 \| good	6.816 \| good	32.683 \| good	0.169 \| good	2.124 \| good	0.147 \| good
2025-10-20T08:00:00.000Z	29 \| good	2.438 \| good	6.631 \| good	30.563 \| good	0.143 \| good	3.639 \| good	0.147 \| good
2025-10-20T09:00:00.000Z	25 \| good	1.351 \| good	4.47 \| good	27.382 \| good	0.182 \| good	4.888 \| good	0.178 \| good
2025-10-20T10:00:00.000Z	22 \| good	1.417 \| good	3.856 \| good	24.318 \| good	0.179 \| good	2.344 \| good	0.147 \| good
2025-10-20T11:00:00.000Z	23 \| good	1.684 \| good	4.105 \| good	24.522 \| good	0.178 \| good	2.95 \| good	0.14 \| good
2025-10-20T12:00:00.000Z	23 \| good	1.5 \| good	5.965 \| good	24.677 \| good	0.195 \| good	3.203 \| good	0.12 \| good
2025-10-20T13:00:00.000Z	19 \| good	1.519 \| good	6.103 \| good	21.462 \| good	0.158 \| good	6.593 \| good	0.166 \| good
2025-10-20T14:00:00.000Z	21 \| good	2.99 \| good	14.971 \| good	23.359 \| good	0.192 \| good	6.909 \| good	0.19 \| good
2025-10-20T15:00:00.000Z	24 \| good	2.068 \| good	6.817 \| good	26.26 \| good	0.273 \| good	3.452 \| good	0.146 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.067 \| good	6.977 \| good	28.183 \| good	0.238 \| good	2.37 \| good	0.12 \| good
2025-10-20T17:00:00.000Z	27 \| good	2.237 \| good	6.328 \| good	28.873 \| good	0.207 \| good	1.953 \| good	0.137 \| good
2025-10-20T18:00:00.000Z	29 \| good	1.394 \| good	7.507 \| good	31.233 \| good	0.193 \| good	1.776 \| good	0.146 \| good
2025-10-20T19:00:00.000Z	31 \| good	1.662 \| good	10.41 \| good	32.932 \| good	0.186 \| good	1.702 \| good	0.146 \| good
2025-10-20T20:00:00.000Z	31 \| good	1.275 \| good	10.837 \| good	34.088 \| good	0.193 \| good	1.759 \| good	0.146 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.058 \| good	11.599 \| good	33.574 \| good	0.157 \| good	1.993 \| good	0.146 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.159 \| good	10.588 \| good	33.429 \| good	0.185 \| good	2.765 \| good	0.146 \| good
2025-10-20T23:00:00.000Z	29 \| good	1.841 \| good	9.614 \| good	30.885 \| good	0.184 \| good	2.586 \| good	0.146 \| good
2025-10-21T00:00:00.000Z	27 \| good	2.602 \| good	10.943 \| good	29.275 \| good	0.21 \| good	3.364 \| good	0.146 \| good
2025-10-21T01:00:00.000Z	19 \| good	3.283 \| good	12.335 \| good	21.08 \| good	0.195 \| good	5.192 \| good	0.183 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.847 \| good	13.359 \| good	21.524 \| good	0.161 \| good	9.345 \| good	0.259 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.855 \| good	34.046 \| good	11.708 \| good	2.21 \| good	20.648 \| good	0.254 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	9.955 \| good	15.168 \| good	14.491 \| good	0.247 \| good	19.375 \| good	0.373 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.037 \| good	18.599 \| good	8.661 \| good	0.197 \| good	20.885 \| good	0.384 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.182 \| good	16.9 \| good	5.854 \| good	0.185 \| good	19.887 \| good	0.39 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.504 \| good	16.288 \| good	8.276 \| good	0.185 \| good	20.899 \| good	0.369 \| good
2025-10-21T08:00:00.000Z	44 \| good	7.647 \| good	22.853 \| good	5.235 \| good	0.231 \| good	19.425 \| good	0.37 \| good
2025-10-21T09:00:00.000Z	49 \| good	9.411 \| good	13.479 \| good	5.116 \| good	0.231 \| good	17.545 \| good	0.347 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.528 \| good	18.056 \| good	6.001 \| good	0.305 \| good	15.469 \| good	0.347 \| good
2025-10-21T11:00:00.000Z	54 \| moderate	10.859 \| good	11.898 \| good	4.675 \| good	0.317 \| good	15.854 \| good	0.38 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.464 \| good	9.984 \| good	6.425 \| good	0.365 \| good	15.555 \| good	0.553 \| good
2025-10-21T13:00:00.000Z	38 \| good	7.324 \| good	14.066 \| good	3.866 \| good	0.437 \| good	16.729 \| good	0.666 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.491 \| good	13.556 \| good	5.555 \| good	0.361 \| good	18.109 \| good	0.71 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.542 \| good	18.317 \| good	15.078 \| good	0.4 \| good	15.649 \| good	0.558 \| good
2025-10-21T16:00:00.000Z	23 \| good	4.303 \| good	25.057 \| good	18.93 \| good	0.444 \| good	11.718 \| good	0.294 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.439 \| good	17.795 \| good	23.236 \| good	0.342 \| good	8.233 \| good	0.177 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.302 \| good	13.002 \| good	29.861 \| good	0.326 \| good	4.826 \| good	0.149 \| good
2025-10-21T19:00:00.000Z	34 \| good	3.632 \| good	13.401 \| good	36.977 \| good	0.286 \| good	3.745 \| good	0.149 \| good
2025-10-21T20:00:00.000Z	39 \| good	3.942 \| good	17.79 \| good	42.001 \| good	0.306 \| good	3.517 \| good	0.177 \| good
2025-10-21T20:00:00.000Z	33 \| good	4 \| good	17.307 \| good	35.873 \| good	0.298 \| good	4.382 \| good	0.185 \| good
2025-10-16T21:00:00.000Z	29 \| good	1.234 \| good	5.084 \| good	31.084 \| good	0.691 \| good	2.243 \| good	0.141 \| good
2025-10-16T22:00:00.000Z	27 \| good	0.429 \| good	1.556 \| good	28.872 \| good	0.786 \| good	4.838 \| good	0.157 \| good
2025-10-16T23:00:00.000Z	24 \| good	0.598 \| good	2.121 \| good	26.136 \| good	0.88 \| good	7.432 \| good	0.174 \| good
2025-10-17T00:00:00.000Z	17 \| good	0.573 \| good	2.102 \| good	18.089 \| good	0.974 \| good	10.026 \| good	0.191 \| good
2025-10-17T01:00:00.000Z	14 \| good	1.831 \| good	7.556 \| good	15.233 \| good	1.07 \| good	9.273 \| good	0.184 \| good
2025-10-17T02:00:00.000Z	16 \| good	2.707 \| good	11.072 \| good	11.228 \| good	1.165 \| good	8.52 \| good	0.177 \| good
2025-10-17T03:00:00.000Z	16 \| good	2.733 \| good	11.121 \| good	9.354 \| good	1.261 \| good	7.767 \| good	0.17 \| good
2025-10-17T04:00:00.000Z	11 \| good	2.057 \| good	8.296 \| good	12.037 \| good	1.362 \| good	6.83 \| good	0.162 \| good
2025-10-17T05:00:00.000Z	13 \| good	1.41 \| good	5.465 \| good	14.113 \| good	1.464 \| good	5.893 \| good	0.155 \| good
2025-10-17T06:00:00.000Z	12 \| good	1.214 \| good	5.119 \| good	13.492 \| good	1.565 \| good	4.956 \| good	0.148 \| good
2025-10-17T07:00:00.000Z	11 \| good	1.02 \| good	4.151 \| good	12.437 \| good	1.42 \| good	4.881 \| good	0.147 \| good
2025-10-17T08:00:00.000Z	10 \| good	1.442 \| good	5.5 \| good	10.579 \| good	1.275 \| good	4.806 \| good	0.146 \| good
2025-10-17T09:00:00.000Z	7 \| good	0.649 \| good	2.216 \| good	7.682 \| good	1.13 \| good	4.732 \| good	0.145 \| good
2025-10-17T10:00:00.000Z	6 \| good	0.943 \| good	3.666 \| good	5.252 \| good	1.096 \| good	5.605 \| good	0.154 \| good
2025-10-17T11:00:00.000Z	6 \| good	0.97 \| good	3.782 \| good	4.218 \| good	1.062 \| good	6.478 \| good	0.162 \| good
2025-10-17T12:00:00.000Z	11 \| good	2.352 \| good	9.772 \| good	7.825 \| good	1.028 \| good	7.351 \| good	0.171 \| good
2025-10-17T13:00:00.000Z	22 \| good	4.382 \| good	19.144 \| good	15.271 \| good	1.312 \| good	6.326 \| good	0.17 \| good
2025-10-17T14:00:00.000Z	20 \| good	3.241 \| good	14.478 \| good	21.863 \| good	1.597 \| good	5.301 \| good	0.169 \| good
2025-10-17T15:00:00.000Z	24 \| good	1.222 \| good	4.741 \| good	26.354 \| good	1.881 \| good	4.276 \| good	0.167 \| good
2025-10-17T16:00:00.000Z	28 \| good	1.243 \| good	5.15 \| good	30.235 \| good	1.737 \| good	3.629 \| good	0.162 \| good
2025-10-17T17:00:00.000Z	32 \| good	1.47 \| good	5.903 \| good	34.529 \| good	1.594 \| good	2.982 \| good	0.158 \| good
2025-10-17T18:00:00.000Z	34 \| good	2.445 \| good	10.035 \| good	36.796 \| good	1.45 \| good	2.335 \| good	0.153 \| good
2025-10-17T19:00:00.000Z	35 \| good	2.702 \| good	11.009 \| good	37.586 \| good	1.397 \| good	2.622 \| good	0.155 \| good
2025-10-17T20:00:00.000Z	35 \| good	4.588 \| good	19.944 \| good	37.572 \| good	1.344 \| good	2.909 \| good	0.157 \| good
2025-10-17T21:00:00.000Z	33 \| good	3.784 \| good	16.405 \| good	35.834 \| good	1.292 \| good	3.196 \| good	0.16 \| good
2025-10-17T22:00:00.000Z	26 \| good	3.26 \| good	14.123 \| good	28.059 \| good	1.368 \| good	12.362 \| good	0.247 \| good
2025-10-17T23:00:00.000Z	21 \| good	1.317 \| good	5.092 \| good	21.468 \| good	1.444 \| good	21.527 \| good	0.335 \| good
2025-10-18T00:00:00.000Z	29 \| good	0.928 \| good	3.722 \| good	14.269 \| good	1.52 \| good	30.693 \| good	0.422 \| good
2025-10-18T01:00:00.000Z	30 \| good	2.113 \| good	8.514 \| good	13.138 \| good	1.603 \| good	32.213 \| good	0.481 \| good
2025-10-18T02:00:00.000Z	32 \| good	2.277 \| good	9.628 \| good	8.805 \| good	1.686 \| good	33.733 \| good	0.539 \| good
2025-10-18T03:00:00.000Z	33 \| good	3.61 \| good	15.873 \| good	6.574 \| good	1.769 \| good	35.254 \| good	0.597 \| good
2025-10-18T04:00:00.000Z	33 \| good	4.803 \| good	21.144 \| good	5.697 \| good	1.71 \| good	34.67 \| good	0.604 \| good
2025-10-18T05:00:00.000Z	32 \| good	4.632 \| good	20.217 \| good	4.507 \| good	1.65 \| good	34.086 \| good	0.61 \| good
2025-10-18T06:00:00.000Z	32 \| good	4.905 \| good	21.301 \| good	3.63 \| good	1.591 \| good	33.502 \| good	0.617 \| good
2025-10-18T07:00:00.000Z	30 \| good	5.316 \| good	23.31 \| good	3.934 \| good	1.568 \| good	31.873 \| good	0.556 \| good
2025-10-18T08:00:00.000Z	33 \| good	6.14 \| good	26.892 \| good	2.32 \| good	1.545 \| good	30.245 \| good	0.495 \| good
2025-10-18T09:00:00.000Z	33 \| good	5.983 \| good	26.136 \| good	2.774 \| good	1.522 \| good	28.617 \| good	0.434 \| good
2025-10-18T10:00:00.000Z	38 \| good	7.47 \| good	32.841 \| good	2.89 \| good	1.517 \| good	27.254 \| good	0.43 \| good
2025-10-18T11:00:00.000Z	44 \| good	7.575 \| good	33.674 \| good	2.468 \| good	1.511 \| good	25.892 \| good	0.427 \| good
2025-10-18T12:00:00.000Z	49 \| good	8.552 \| good	37.953 \| good	1.899 \| good	1.506 \| good	24.53 \| good	0.423 \| good
2025-10-18T13:00:00.000Z	52 \| moderate	10.208 \| good	45.417 \| good	6.331 \| good	1.659 \| good	19.317 \| good	0.364 \| good
2025-10-18T14:00:00.000Z	44 \| good	8.165 \| good	35.993 \| good	16.788 \| good	1.812 \| good	14.104 \| good	0.305 \| good
2025-10-18T15:00:00.000Z	44 \| good	7.683 \| good	33.929 \| good	25.554 \| good	1.965 \| good	8.89 \| good	0.245 \| good
2025-10-18T16:00:00.000Z	38 \| good	7.297 \| good	31.957 \| good	31.672 \| good	2.528 \| good	6.682 \| good	0.222 \| good
2025-10-18T17:00:00.000Z	38 \| good	6.953 \| good	30.843 \| good	37.021 \| good	3.091 \| good	4.474 \| good	0.198 \| good
2025-10-18T18:00:00.000Z	38 \| good	6.94 \| good	30.635 \| good	40.257 \| good	3.655 \| good	2.266 \| good	0.174 \| good
2025-10-18T19:00:00.000Z	38 \| good	6.61 \| good	29.446 \| good	41.352 \| good	3.535 \| good	2.381 \| good	0.174 \| good
2025-10-18T20:00:00.000Z	44 \| good	7.563 \| good	33.12 \| good	41.068 \| good	3.416 \| good	2.497 \| good	0.174 \| good

Real-time air quality index in Rosaryville, Maryland today

Common air pollutants in Rosaryville, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Rosaryville, Maryland air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Marlton, Maryland

Clinton, Maryland

Camp Springs, Maryland

Brandywine, Maryland

Westphalia, Maryland

Forestville, Maryland

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

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

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

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

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

Which pollutant is found most often in Rosaryville, Maryland?

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

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

What are the current PM10 levels at Rosaryville, Maryland?

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

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

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

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

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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

What are the current PM₁₀ levels at Rosaryville, Maryland?

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

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

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