What are the current PM10 levels at Marlton, Maryland?

The current PM10 levels in Marlton, Maryland are 12.333 μg/m3.

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

The current sulfur dioxide (SO2) levels in Marlton, Maryland are 0.286 ppb.

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

The current ozone (O3) levels at Marlton, Maryland is 5.361 ppm.

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

The current nitrogen dioxide (NO2) levels at Marlton, Maryland is 9.901 ppb.

Real-time air quality index in Marlton, Maryland today

Q: What are the current PM2.5 levels in Marlton, Maryland?

The measured PM2.5 levels in Marlton, Maryland at present are 3.904 μg/m3.

Stay updated with real-time air quality in Marlton, 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

Marlton, Maryland

Last updated: ... (Local time)

Common air pollutants in Marlton, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.90 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.33 μg/m³

155

255

425

605+

Ozone (O₃)

5.36 ppb

201

201+

Sulfur Dioxide (SO₂)

0.29 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

9.90 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.27 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Marlton, Maryland

Get Live Pollen Counts

Marlton, Maryland

Scroll To Air Quality Map

Track live Marlton, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-05T13:00:00.000Z	27 \| good	5.317 \| good	23.324 \| good	24.094 \| good	0.211 \| good	7.239 \| good	0.173 \| good
2026-09-05T14:00:00.000Z	33 \| good	6.043 \| good	25.805 \| good	28.128 \| good	0.246 \| good	6.912 \| good	0.172 \| good
2026-09-05T15:00:00.000Z	33 \| good	5.854 \| good	25.703 \| good	27.602 \| good	0.319 \| good	6.72 \| good	0.22 \| good
2026-09-05T16:00:00.000Z	33 \| good	5.667 \| good	24.827 \| good	29.216 \| good	0.374 \| good	6.107 \| good	0.22 \| good
2026-09-05T17:00:00.000Z	30 \| good	5.021 \| good	20.338 \| good	31.855 \| good	0.337 \| good	4.22 \| good	0.22 \| good
2026-09-05T18:00:00.000Z	33 \| good	5.48 \| good	22.864 \| good	35.991 \| good	0.251 \| good	3.29 \| good	0.148 \| good
2026-09-05T19:00:00.000Z	36 \| good	5.067 \| good	22.053 \| good	39.433 \| good	0.237 \| good	2.372 \| good	0.148 \| good
2026-09-05T20:00:00.000Z	38 \| good	5.845 \| good	24.482 \| good	41.21 \| good	0.276 \| good	4.837 \| good	0.213 \| good
2026-09-05T21:00:00.000Z	37 \| good	6.307 \| good	26.648 \| good	40.43 \| good	0.311 \| good	3.758 \| good	0.217 \| good
2026-09-05T22:00:00.000Z	37 \| good	5.841 \| good	26.56 \| good	39.876 \| good	0.288 \| good	3.286 \| good	0.222 \| good
2026-09-05T23:00:00.000Z	36 \| good	3.764 \| good	15.74 \| good	38.655 \| good	0.227 \| good	4.057 \| good	0.222 \| good
2026-09-06T00:00:00.000Z	34 \| good	4.917 \| good	20.674 \| good	37.176 \| good	0.433 \| good	4.026 \| good	0.218 \| good
2026-09-06T01:00:00.000Z	33 \| good	4.955 \| good	20.818 \| good	35.588 \| good	0.386 \| good	7.463 \| good	0.425 \| good
2026-09-06T02:00:00.000Z	32 \| good	5.15 \| good	23.029 \| good	35.371 \| good	0.289 \| good	9.515 \| good	0.439 \| good
2026-09-06T03:00:00.000Z	27 \| good	4.529 \| good	19.371 \| good	18.127 \| good	0.717 \| good	12.583 \| good	0.251 \| good
2026-09-06T04:00:00.000Z	38 \| good	6.54 \| good	27.363 \| good	30.133 \| good	0.415 \| good	10.795 \| good	0.369 \| good
2026-09-06T05:00:00.000Z	38 \| good	7.003 \| good	30.955 \| good	26.319 \| good	0.328 \| good	12.219 \| good	0.37 \| good
2026-09-06T06:00:00.000Z	44 \| good	7.626 \| good	33.058 \| good	21.74 \| good	0.276 \| good	14.243 \| good	0.429 \| good
2026-09-06T07:00:00.000Z	44 \| good	8.356 \| good	37.053 \| good	17.708 \| good	0.276 \| good	17.246 \| good	0.636 \| good
2026-09-06T08:00:00.000Z	44 \| good	7.775 \| good	33.356 \| good	13.834 \| good	0.249 \| good	14.946 \| good	0.498 \| good
2026-09-06T09:00:00.000Z	44 \| good	7.558 \| good	32.968 \| good	12.262 \| good	0.317 \| good	11.653 \| good	0.429 \| good
2026-09-06T10:00:00.000Z	33 \| good	5.697 \| good	25.613 \| good	13.033 \| good	0.412 \| good	11.955 \| good	0.36 \| good
2026-09-06T11:00:00.000Z	22 \| good	4.326 \| good	19.107 \| good	11.211 \| good	0.386 \| good	12.132 \| good	0.291 \| good
2026-09-06T12:00:00.000Z	27 \| good	5.012 \| good	22.365 \| good	10.578 \| good	0.439 \| good	13.331 \| good	0.429 \| good
2026-09-06T13:00:00.000Z	16 \| good	2.513 \| good	12.288 \| good	13.823 \| good	0.439 \| good	11.305 \| good	0.36 \| good
2026-09-06T14:00:00.000Z	22 \| good	4.032 \| good	18.221 \| good	18.102 \| good	0.344 \| good	6.958 \| good	0.222 \| good
2026-09-06T15:00:00.000Z	22 \| good	3.591 \| good	15.345 \| good	23.238 \| good	0.366 \| good	4.986 \| good	0.21 \| good
2026-09-06T16:00:00.000Z	27 \| good	4.502 \| good	19.845 \| good	28.429 \| good	0.312 \| good	4.255 \| good	0.217 \| good
2026-09-06T17:00:00.000Z	31 \| good	4.169 \| good	18.1 \| good	33.572 \| good	0.304 \| good	2.951 \| good	0.136 \| good
2026-09-06T18:00:00.000Z	32 \| good	3.884 \| good	16.614 \| good	35.053 \| good	0.356 \| good	3.17 \| good	0.205 \| good
2026-09-06T19:00:00.000Z	33 \| good	4.078 \| good	16.961 \| good	35.513 \| good	0.298 \| good	2.582 \| good	0.126 \| good
2026-09-06T20:00:00.000Z	35 \| good	4.199 \| good	18.228 \| good	37.696 \| good	0.373 \| good	2.504 \| good	0.195 \| good
2026-09-06T21:00:00.000Z	36 \| good	4.101 \| good	17.478 \| good	38.663 \| good	0.423 \| good	3.163 \| good	0.195 \| good
2026-09-06T22:00:00.000Z	33 \| good	3.272 \| good	14.744 \| good	35.962 \| good	0.218 \| good	3.864 \| good	0.195 \| good
2026-09-06T23:00:00.000Z	31 \| good	4.479 \| good	19.418 \| good	33.893 \| good	0.432 \| good	5.476 \| good	0.274 \| good
2026-09-07T00:00:00.000Z	31 \| good	4.799 \| good	20.817 \| good	32.967 \| good	0.325 \| good	6.882 \| good	0.355 \| good
2026-09-07T01:00:00.000Z	30 \| good	4.982 \| good	20.824 \| good	31.813 \| good	0.219 \| good	8.004 \| good	0.355 \| good
2026-09-07T02:00:00.000Z	27 \| good	4.105 \| good	17.854 \| good	29.306 \| good	0.373 \| good	10.28 \| good	0.429 \| good
2026-09-07T03:00:00.000Z	27 \| good	4.936 \| good	21.076 \| good	11.213 \| good	0.578 \| good	8.19 \| good	0.218 \| good
2026-09-07T04:00:00.000Z	33 \| good	5.554 \| good	24.658 \| good	23.445 \| good	0.593 \| good	11.879 \| good	0.513 \| good
2026-09-07T05:00:00.000Z	33 \| good	6.336 \| good	28.472 \| good	18.743 \| good	0.504 \| good	12.468 \| good	0.513 \| good
2026-09-07T06:00:00.000Z	38 \| good	7.2 \| good	31.258 \| good	14.996 \| good	0.506 \| good	14.24 \| good	0.513 \| good
2026-09-07T07:00:00.000Z	44 \| good	8.489 \| good	36.864 \| good	11.37 \| good	0.405 \| good	11.922 \| good	0.594 \| good
2026-09-07T08:00:00.000Z	44 \| good	8.085 \| good	35.511 \| good	9.18 \| good	0.354 \| good	13.086 \| good	0.52 \| good
2026-09-07T09:00:00.000Z	38 \| good	6.517 \| good	28.138 \| good	6.895 \| good	0.467 \| good	11.757 \| good	0.508 \| good
2026-09-07T10:00:00.000Z	33 \| good	5.796 \| good	24.971 \| good	5.735 \| good	0.328 \| good	12.716 \| good	0.429 \| good
2026-09-07T11:00:00.000Z	27 \| good	4.925 \| good	20.516 \| good	7.154 \| good	0.295 \| good	12.227 \| good	0.291 \| good
2026-09-07T12:00:00.000Z	22 \| good	3.904 \| good	12.333 \| good	5.361 \| good	0.286 \| good	9.901 \| good	0.273 \| good
2026-09-07T13:00:00.000Z	44 \| good	7.655 \| good	34.067 \| good	16.218 \| good	0.87 \| good	5.492 \| good	0.189 \| good
2026-09-07T14:00:00.000Z	27 \| good	5.475 \| good	23.368 \| good	26.509 \| good	0.838 \| good	3.135 \| good	0.175 \| good
2026-09-07T15:00:00.000Z	34 \| good	5.824 \| good	25.189 \| good	36.617 \| good	0.816 \| good	1.859 \| good	0.17 \| good
2026-09-07T16:00:00.000Z	40 \| good	6.224 \| good	27.911 \| good	43.026 \| good	0.736 \| good	1.23 \| good	0.165 \| good
2026-09-07T17:00:00.000Z	44 \| good	5.768 \| good	25.184 \| good	47.79 \| good	0.695 \| good	0.996 \| good	0.163 \| good
2026-09-07T18:00:00.000Z	45 \| good	5.536 \| good	24.012 \| good	48.88 \| good	0.675 \| good	0.947 \| good	0.163 \| good
2026-09-07T19:00:00.000Z	48 \| good	5.999 \| good	26.852 \| good	51.947 \| good	0.661 \| good	0.966 \| good	0.163 \| good
2026-09-07T20:00:00.000Z	47 \| good	5.678 \| good	24.3 \| good	50.622 \| good	0.656 \| good	1.056 \| good	0.164 \| good
2026-09-07T21:00:00.000Z	40 \| good	3.189 \| good	14.096 \| good	42.575 \| good	0.657 \| good	1.217 \| good	0.165 \| good
2026-09-07T22:00:00.000Z	28 \| good	2.188 \| good	8.966 \| good	29.597 \| good	0.647 \| good	1.586 \| good	0.168 \| good
2026-09-07T23:00:00.000Z	22 \| good	1.111 \| good	4.601 \| good	23.732 \| good	0.617 \| good	2.682 \| good	0.175 \| good
2026-09-08T00:00:00.000Z	19 \| good	1.645 \| good	6.59 \| good	19.896 \| good	0.6 \| good	6.186 \| good	0.199 \| good
2026-09-08T01:00:00.000Z	22 \| good	3.618 \| good	16.131 \| good	16.278 \| good	0.562 \| good	7.338 \| good	0.203 \| good
2026-09-08T02:00:00.000Z	33 \| good	5.672 \| good	24.474 \| good	12.205 \| good	0.534 \| good	8.12 \| good	0.203 \| good
2026-09-08T03:00:00.000Z	33 \| good	6.457 \| good	28.418 \| good	10.882 \| good	0.52 \| good	9.468 \| good	0.21 \| good
2026-09-08T04:00:00.000Z	33 \| good	5.962 \| good	25.608 \| good	13.465 \| good	0.51 \| good	10.797 \| good	0.221 \| good
2026-09-08T05:00:00.000Z	27 \| good	5.438 \| good	23.487 \| good	15.362 \| good	0.48 \| good	10.979 \| good	0.226 \| good
2026-09-08T06:00:00.000Z	22 \| good	4.484 \| good	19.465 \| good	15.246 \| good	0.465 \| good	11.475 \| good	0.228 \| good
2026-09-08T07:00:00.000Z	33 \| good	6.445 \| good	28.348 \| good	9.97 \| good	0.465 \| good	12.562 \| good	0.234 \| good
2026-09-08T08:00:00.000Z	44 \| good	8.454 \| good	37.394 \| good	7.003 \| good	0.476 \| good	12.744 \| good	0.232 \| good
2026-09-08T09:00:00.000Z	38 \| good	7.33 \| good	32.409 \| good	5.387 \| good	0.511 \| good	11.833 \| good	0.224 \| good
2026-09-08T10:00:00.000Z	44 \| good	7.501 \| good	33.354 \| good	5.053 \| good	0.566 \| good	10.856 \| good	0.216 \| good
2026-09-08T11:00:00.000Z	33 \| good	6.352 \| good	27.998 \| good	5.753 \| good	0.627 \| good	10.378 \| good	0.216 \| good
2026-09-08T12:00:00.000Z	44 \| good	8.288 \| good	36.58 \| good	13.316 \| good	0.703 \| good	10.066 \| good	0.237 \| good
2026-09-08T13:00:00.000Z	49 \| good	8.535 \| good	37.474 \| good	20.395 \| good	0.843 \| good	7.041 \| good	0.219 \| good
2026-09-08T14:00:00.000Z	27 \| good	4.72 \| good	20.333 \| good	28.01 \| good	0.831 \| good	4.059 \| good	0.194 \| good
2026-09-08T15:00:00.000Z	33 \| good	4.996 \| good	21.456 \| good	35.559 \| good	0.635 \| good	1.865 \| good	0.174 \| good
2026-09-08T16:00:00.000Z	40 \| good	4.502 \| good	19.392 \| good	42.816 \| good	0.549 \| good	1.166 \| good	0.171 \| good
2026-09-08T17:00:00.000Z	43 \| good	5.219 \| good	22.263 \| good	46.066 \| good	0.511 \| good	0.975 \| good	0.171 \| good
2026-09-08T18:00:00.000Z	47 \| good	6.504 \| good	29.026 \| good	51.166 \| good	0.485 \| good	0.924 \| good	0.171 \| good
2026-09-08T19:00:00.000Z	51 \| moderate	5.998 \| good	26.945 \| good	55.461 \| fine	0.47 \| good	0.982 \| good	0.172 \| good
2026-09-08T20:00:00.000Z	58 \| moderate	6.124 \| good	26.957 \| good	56.76 \| fine	0.458 \| good	1.037 \| good	0.172 \| good
2026-09-08T21:00:00.000Z	48 \| good	4.897 \| good	21.123 \| good	52.482 \| good	0.45 \| good	1.19 \| good	0.174 \| good
2026-09-08T22:00:00.000Z	37 \| good	6.343 \| good	28.335 \| good	40.027 \| good	0.447 \| good	1.623 \| good	0.179 \| good
2026-09-08T23:00:00.000Z	38 \| good	6.638 \| good	29.248 \| good	30.606 \| good	0.434 \| good	3.429 \| good	0.198 \| good
2026-09-09T00:00:00.000Z	33 \| good	6.01 \| good	26.284 \| good	22.145 \| good	0.453 \| good	6.204 \| good	0.22 \| good
2026-09-09T01:00:00.000Z	38 \| good	6.502 \| good	28.78 \| good	18.736 \| good	0.463 \| good	6.476 \| good	0.218 \| good
2026-09-09T02:00:00.000Z	33 \| good	5.654 \| good	24.516 \| good	18.198 \| good	0.486 \| good	5.686 \| good	0.209 \| good
2026-09-09T03:00:00.000Z	27 \| good	5.434 \| good	23.307 \| good	22.878 \| good	0.544 \| good	4.992 \| good	0.201 \| good
2026-09-09T04:00:00.000Z	25 \| good	4.356 \| good	19.21 \| good	26.966 \| good	0.611 \| good	4.291 \| good	0.193 \| good
2026-09-09T05:00:00.000Z	22 \| good	4.132 \| good	18.116 \| good	23.85 \| good	0.657 \| good	3.508 \| good	0.185 \| good
2026-09-09T06:00:00.000Z	22 \| good	4.195 \| good	18.156 \| good	21.461 \| good	0.691 \| good	3.146 \| good	0.18 \| good
2026-09-09T07:00:00.000Z	22 \| good	4.411 \| good	19.195 \| good	22.276 \| good	0.705 \| good	3.158 \| good	0.177 \| good
2026-09-09T08:00:00.000Z	22 \| good	4.285 \| good	19.063 \| good	21.672 \| good	0.7 \| good	3.329 \| good	0.176 \| good
2026-09-09T09:00:00.000Z	27 \| good	4.934 \| good	21.309 \| good	16.057 \| good	0.676 \| good	3.46 \| good	0.175 \| good
2026-09-09T10:00:00.000Z	22 \| good	4.231 \| good	18.399 \| good	17.875 \| good	0.637 \| good	3.584 \| good	0.175 \| good
2026-09-09T11:00:00.000Z	22 \| good	3.733 \| good	16.328 \| good	16.361 \| good	0.6 \| good	3.892 \| good	0.176 \| good
2026-09-09T12:00:00.000Z	44 \| good	7.731 \| good	8.79 \| good	27.975 \| good	0.578 \| good	5.391 \| good	0.195 \| good

Marlton

Empower business decisions with accurate air quality data

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

0.29ppm

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

Air quality levels in US

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 Marlton, Maryland updated?

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

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

The worst air quality in Marlton, Maryland was recorded at 08:00:00 on 2026-09-07.

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

The best air quality in Marlton, Maryland was recorded at 01:00:00 on 2026-09-06.

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

The real-time air quality index in Marlton, Maryland is 22, currently categorized as Good.

Which pollutant is found most often in Marlton, Maryland?

The most common pollutant in Marlton, Maryland is PM2.5.

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

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

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

The measured PM_2.5 levels in Marlton, Maryland at present are 3.904 μg/m³.

What are the current PM₁₀ levels at Marlton, Maryland?

The current PM₁₀ levels in Marlton, Maryland are 12.333 μg/m³.

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

The current carbon monoxide (CO) level in Marlton, Maryland is 0.273 ppm.

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

The current sulfur dioxide (SO₂) levels in Marlton, Maryland are 0.286 ppb.

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

The current ozone (O₃) levels at Marlton, Maryland is 5.361 ppm.

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

The current nitrogen dioxide (NO₂) levels at Marlton, Maryland is 9.901 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-05T13:00:00.000Z	27 \| good	5.317 \| good	23.324 \| good	24.094 \| good	0.211 \| good	7.239 \| good	0.173 \| good
2026-09-05T14:00:00.000Z	33 \| good	6.043 \| good	25.805 \| good	28.128 \| good	0.246 \| good	6.912 \| good	0.172 \| good
2026-09-05T15:00:00.000Z	33 \| good	5.854 \| good	25.703 \| good	27.602 \| good	0.319 \| good	6.72 \| good	0.22 \| good
2026-09-05T16:00:00.000Z	33 \| good	5.667 \| good	24.827 \| good	29.216 \| good	0.374 \| good	6.107 \| good	0.22 \| good
2026-09-05T17:00:00.000Z	30 \| good	5.021 \| good	20.338 \| good	31.855 \| good	0.337 \| good	4.22 \| good	0.22 \| good
2026-09-05T18:00:00.000Z	33 \| good	5.48 \| good	22.864 \| good	35.991 \| good	0.251 \| good	3.29 \| good	0.148 \| good
2026-09-05T19:00:00.000Z	36 \| good	5.067 \| good	22.053 \| good	39.433 \| good	0.237 \| good	2.372 \| good	0.148 \| good
2026-09-05T20:00:00.000Z	38 \| good	5.845 \| good	24.482 \| good	41.21 \| good	0.276 \| good	4.837 \| good	0.213 \| good
2026-09-05T21:00:00.000Z	37 \| good	6.307 \| good	26.648 \| good	40.43 \| good	0.311 \| good	3.758 \| good	0.217 \| good
2026-09-05T22:00:00.000Z	37 \| good	5.841 \| good	26.56 \| good	39.876 \| good	0.288 \| good	3.286 \| good	0.222 \| good
2026-09-05T23:00:00.000Z	36 \| good	3.764 \| good	15.74 \| good	38.655 \| good	0.227 \| good	4.057 \| good	0.222 \| good
2026-09-06T00:00:00.000Z	34 \| good	4.917 \| good	20.674 \| good	37.176 \| good	0.433 \| good	4.026 \| good	0.218 \| good
2026-09-06T01:00:00.000Z	33 \| good	4.955 \| good	20.818 \| good	35.588 \| good	0.386 \| good	7.463 \| good	0.425 \| good
2026-09-06T02:00:00.000Z	32 \| good	5.15 \| good	23.029 \| good	35.371 \| good	0.289 \| good	9.515 \| good	0.439 \| good
2026-09-06T03:00:00.000Z	27 \| good	4.529 \| good	19.371 \| good	18.127 \| good	0.717 \| good	12.583 \| good	0.251 \| good
2026-09-06T04:00:00.000Z	38 \| good	6.54 \| good	27.363 \| good	30.133 \| good	0.415 \| good	10.795 \| good	0.369 \| good
2026-09-06T05:00:00.000Z	38 \| good	7.003 \| good	30.955 \| good	26.319 \| good	0.328 \| good	12.219 \| good	0.37 \| good
2026-09-06T06:00:00.000Z	44 \| good	7.626 \| good	33.058 \| good	21.74 \| good	0.276 \| good	14.243 \| good	0.429 \| good
2026-09-06T07:00:00.000Z	44 \| good	8.356 \| good	37.053 \| good	17.708 \| good	0.276 \| good	17.246 \| good	0.636 \| good
2026-09-06T08:00:00.000Z	44 \| good	7.775 \| good	33.356 \| good	13.834 \| good	0.249 \| good	14.946 \| good	0.498 \| good
2026-09-06T09:00:00.000Z	44 \| good	7.558 \| good	32.968 \| good	12.262 \| good	0.317 \| good	11.653 \| good	0.429 \| good
2026-09-06T10:00:00.000Z	33 \| good	5.697 \| good	25.613 \| good	13.033 \| good	0.412 \| good	11.955 \| good	0.36 \| good
2026-09-06T11:00:00.000Z	22 \| good	4.326 \| good	19.107 \| good	11.211 \| good	0.386 \| good	12.132 \| good	0.291 \| good
2026-09-06T12:00:00.000Z	27 \| good	5.012 \| good	22.365 \| good	10.578 \| good	0.439 \| good	13.331 \| good	0.429 \| good
2026-09-06T13:00:00.000Z	16 \| good	2.513 \| good	12.288 \| good	13.823 \| good	0.439 \| good	11.305 \| good	0.36 \| good
2026-09-06T14:00:00.000Z	22 \| good	4.032 \| good	18.221 \| good	18.102 \| good	0.344 \| good	6.958 \| good	0.222 \| good
2026-09-06T15:00:00.000Z	22 \| good	3.591 \| good	15.345 \| good	23.238 \| good	0.366 \| good	4.986 \| good	0.21 \| good
2026-09-06T16:00:00.000Z	27 \| good	4.502 \| good	19.845 \| good	28.429 \| good	0.312 \| good	4.255 \| good	0.217 \| good
2026-09-06T17:00:00.000Z	31 \| good	4.169 \| good	18.1 \| good	33.572 \| good	0.304 \| good	2.951 \| good	0.136 \| good
2026-09-06T18:00:00.000Z	32 \| good	3.884 \| good	16.614 \| good	35.053 \| good	0.356 \| good	3.17 \| good	0.205 \| good
2026-09-06T19:00:00.000Z	33 \| good	4.078 \| good	16.961 \| good	35.513 \| good	0.298 \| good	2.582 \| good	0.126 \| good
2026-09-06T20:00:00.000Z	35 \| good	4.199 \| good	18.228 \| good	37.696 \| good	0.373 \| good	2.504 \| good	0.195 \| good
2026-09-06T21:00:00.000Z	36 \| good	4.101 \| good	17.478 \| good	38.663 \| good	0.423 \| good	3.163 \| good	0.195 \| good
2026-09-06T22:00:00.000Z	33 \| good	3.272 \| good	14.744 \| good	35.962 \| good	0.218 \| good	3.864 \| good	0.195 \| good
2026-09-06T23:00:00.000Z	31 \| good	4.479 \| good	19.418 \| good	33.893 \| good	0.432 \| good	5.476 \| good	0.274 \| good
2026-09-07T00:00:00.000Z	31 \| good	4.799 \| good	20.817 \| good	32.967 \| good	0.325 \| good	6.882 \| good	0.355 \| good
2026-09-07T01:00:00.000Z	30 \| good	4.982 \| good	20.824 \| good	31.813 \| good	0.219 \| good	8.004 \| good	0.355 \| good
2026-09-07T02:00:00.000Z	27 \| good	4.105 \| good	17.854 \| good	29.306 \| good	0.373 \| good	10.28 \| good	0.429 \| good
2026-09-07T03:00:00.000Z	27 \| good	4.936 \| good	21.076 \| good	11.213 \| good	0.578 \| good	8.19 \| good	0.218 \| good
2026-09-07T04:00:00.000Z	33 \| good	5.554 \| good	24.658 \| good	23.445 \| good	0.593 \| good	11.879 \| good	0.513 \| good
2026-09-07T05:00:00.000Z	33 \| good	6.336 \| good	28.472 \| good	18.743 \| good	0.504 \| good	12.468 \| good	0.513 \| good
2026-09-07T06:00:00.000Z	38 \| good	7.2 \| good	31.258 \| good	14.996 \| good	0.506 \| good	14.24 \| good	0.513 \| good
2026-09-07T07:00:00.000Z	44 \| good	8.489 \| good	36.864 \| good	11.37 \| good	0.405 \| good	11.922 \| good	0.594 \| good
2026-09-07T08:00:00.000Z	44 \| good	8.085 \| good	35.511 \| good	9.18 \| good	0.354 \| good	13.086 \| good	0.52 \| good
2026-09-07T09:00:00.000Z	38 \| good	6.517 \| good	28.138 \| good	6.895 \| good	0.467 \| good	11.757 \| good	0.508 \| good
2026-09-07T10:00:00.000Z	33 \| good	5.796 \| good	24.971 \| good	5.735 \| good	0.328 \| good	12.716 \| good	0.429 \| good
2026-09-07T11:00:00.000Z	27 \| good	4.925 \| good	20.516 \| good	7.154 \| good	0.295 \| good	12.227 \| good	0.291 \| good
2026-09-07T12:00:00.000Z	22 \| good	3.904 \| good	12.333 \| good	5.361 \| good	0.286 \| good	9.901 \| good	0.273 \| good
2026-09-07T13:00:00.000Z	44 \| good	7.655 \| good	34.067 \| good	16.218 \| good	0.87 \| good	5.492 \| good	0.189 \| good
2026-09-07T14:00:00.000Z	27 \| good	5.475 \| good	23.368 \| good	26.509 \| good	0.838 \| good	3.135 \| good	0.175 \| good
2026-09-07T15:00:00.000Z	34 \| good	5.824 \| good	25.189 \| good	36.617 \| good	0.816 \| good	1.859 \| good	0.17 \| good
2026-09-07T16:00:00.000Z	40 \| good	6.224 \| good	27.911 \| good	43.026 \| good	0.736 \| good	1.23 \| good	0.165 \| good
2026-09-07T17:00:00.000Z	44 \| good	5.768 \| good	25.184 \| good	47.79 \| good	0.695 \| good	0.996 \| good	0.163 \| good
2026-09-07T18:00:00.000Z	45 \| good	5.536 \| good	24.012 \| good	48.88 \| good	0.675 \| good	0.947 \| good	0.163 \| good
2026-09-07T19:00:00.000Z	48 \| good	5.999 \| good	26.852 \| good	51.947 \| good	0.661 \| good	0.966 \| good	0.163 \| good
2026-09-07T20:00:00.000Z	47 \| good	5.678 \| good	24.3 \| good	50.622 \| good	0.656 \| good	1.056 \| good	0.164 \| good
2026-09-07T21:00:00.000Z	40 \| good	3.189 \| good	14.096 \| good	42.575 \| good	0.657 \| good	1.217 \| good	0.165 \| good
2026-09-07T22:00:00.000Z	28 \| good	2.188 \| good	8.966 \| good	29.597 \| good	0.647 \| good	1.586 \| good	0.168 \| good
2026-09-07T23:00:00.000Z	22 \| good	1.111 \| good	4.601 \| good	23.732 \| good	0.617 \| good	2.682 \| good	0.175 \| good
2026-09-08T00:00:00.000Z	19 \| good	1.645 \| good	6.59 \| good	19.896 \| good	0.6 \| good	6.186 \| good	0.199 \| good
2026-09-08T01:00:00.000Z	22 \| good	3.618 \| good	16.131 \| good	16.278 \| good	0.562 \| good	7.338 \| good	0.203 \| good
2026-09-08T02:00:00.000Z	33 \| good	5.672 \| good	24.474 \| good	12.205 \| good	0.534 \| good	8.12 \| good	0.203 \| good
2026-09-08T03:00:00.000Z	33 \| good	6.457 \| good	28.418 \| good	10.882 \| good	0.52 \| good	9.468 \| good	0.21 \| good
2026-09-08T04:00:00.000Z	33 \| good	5.962 \| good	25.608 \| good	13.465 \| good	0.51 \| good	10.797 \| good	0.221 \| good
2026-09-08T05:00:00.000Z	27 \| good	5.438 \| good	23.487 \| good	15.362 \| good	0.48 \| good	10.979 \| good	0.226 \| good
2026-09-08T06:00:00.000Z	22 \| good	4.484 \| good	19.465 \| good	15.246 \| good	0.465 \| good	11.475 \| good	0.228 \| good
2026-09-08T07:00:00.000Z	33 \| good	6.445 \| good	28.348 \| good	9.97 \| good	0.465 \| good	12.562 \| good	0.234 \| good
2026-09-08T08:00:00.000Z	44 \| good	8.454 \| good	37.394 \| good	7.003 \| good	0.476 \| good	12.744 \| good	0.232 \| good
2026-09-08T09:00:00.000Z	38 \| good	7.33 \| good	32.409 \| good	5.387 \| good	0.511 \| good	11.833 \| good	0.224 \| good
2026-09-08T10:00:00.000Z	44 \| good	7.501 \| good	33.354 \| good	5.053 \| good	0.566 \| good	10.856 \| good	0.216 \| good
2026-09-08T11:00:00.000Z	33 \| good	6.352 \| good	27.998 \| good	5.753 \| good	0.627 \| good	10.378 \| good	0.216 \| good
2026-09-08T12:00:00.000Z	44 \| good	8.288 \| good	36.58 \| good	13.316 \| good	0.703 \| good	10.066 \| good	0.237 \| good
2026-09-08T13:00:00.000Z	49 \| good	8.535 \| good	37.474 \| good	20.395 \| good	0.843 \| good	7.041 \| good	0.219 \| good
2026-09-08T14:00:00.000Z	27 \| good	4.72 \| good	20.333 \| good	28.01 \| good	0.831 \| good	4.059 \| good	0.194 \| good
2026-09-08T15:00:00.000Z	33 \| good	4.996 \| good	21.456 \| good	35.559 \| good	0.635 \| good	1.865 \| good	0.174 \| good
2026-09-08T16:00:00.000Z	40 \| good	4.502 \| good	19.392 \| good	42.816 \| good	0.549 \| good	1.166 \| good	0.171 \| good
2026-09-08T17:00:00.000Z	43 \| good	5.219 \| good	22.263 \| good	46.066 \| good	0.511 \| good	0.975 \| good	0.171 \| good
2026-09-08T18:00:00.000Z	47 \| good	6.504 \| good	29.026 \| good	51.166 \| good	0.485 \| good	0.924 \| good	0.171 \| good
2026-09-08T19:00:00.000Z	51 \| moderate	5.998 \| good	26.945 \| good	55.461 \| fine	0.47 \| good	0.982 \| good	0.172 \| good
2026-09-08T20:00:00.000Z	58 \| moderate	6.124 \| good	26.957 \| good	56.76 \| fine	0.458 \| good	1.037 \| good	0.172 \| good
2026-09-08T21:00:00.000Z	48 \| good	4.897 \| good	21.123 \| good	52.482 \| good	0.45 \| good	1.19 \| good	0.174 \| good
2026-09-08T22:00:00.000Z	37 \| good	6.343 \| good	28.335 \| good	40.027 \| good	0.447 \| good	1.623 \| good	0.179 \| good
2026-09-08T23:00:00.000Z	38 \| good	6.638 \| good	29.248 \| good	30.606 \| good	0.434 \| good	3.429 \| good	0.198 \| good
2026-09-09T00:00:00.000Z	33 \| good	6.01 \| good	26.284 \| good	22.145 \| good	0.453 \| good	6.204 \| good	0.22 \| good
2026-09-09T01:00:00.000Z	38 \| good	6.502 \| good	28.78 \| good	18.736 \| good	0.463 \| good	6.476 \| good	0.218 \| good
2026-09-09T02:00:00.000Z	33 \| good	5.654 \| good	24.516 \| good	18.198 \| good	0.486 \| good	5.686 \| good	0.209 \| good
2026-09-09T03:00:00.000Z	27 \| good	5.434 \| good	23.307 \| good	22.878 \| good	0.544 \| good	4.992 \| good	0.201 \| good
2026-09-09T04:00:00.000Z	25 \| good	4.356 \| good	19.21 \| good	26.966 \| good	0.611 \| good	4.291 \| good	0.193 \| good
2026-09-09T05:00:00.000Z	22 \| good	4.132 \| good	18.116 \| good	23.85 \| good	0.657 \| good	3.508 \| good	0.185 \| good
2026-09-09T06:00:00.000Z	22 \| good	4.195 \| good	18.156 \| good	21.461 \| good	0.691 \| good	3.146 \| good	0.18 \| good
2026-09-09T07:00:00.000Z	22 \| good	4.411 \| good	19.195 \| good	22.276 \| good	0.705 \| good	3.158 \| good	0.177 \| good
2026-09-09T08:00:00.000Z	22 \| good	4.285 \| good	19.063 \| good	21.672 \| good	0.7 \| good	3.329 \| good	0.176 \| good
2026-09-09T09:00:00.000Z	27 \| good	4.934 \| good	21.309 \| good	16.057 \| good	0.676 \| good	3.46 \| good	0.175 \| good
2026-09-09T10:00:00.000Z	22 \| good	4.231 \| good	18.399 \| good	17.875 \| good	0.637 \| good	3.584 \| good	0.175 \| good
2026-09-09T11:00:00.000Z	22 \| good	3.733 \| good	16.328 \| good	16.361 \| good	0.6 \| good	3.892 \| good	0.176 \| good
2026-09-09T12:00:00.000Z	44 \| good	7.731 \| good	8.79 \| good	27.975 \| good	0.578 \| good	5.391 \| good	0.195 \| good

Real-time air quality index in Marlton, Maryland today

Common air pollutants in Marlton, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Marlton, Maryland air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Rosaryville, Maryland

Brock Hall, Maryland

Westphalia, Maryland

Clinton, Maryland

Brandywine, Maryland

Camp Springs, 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 Marlton, Maryland updated?

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

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

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

Which pollutant is found most often in Marlton, Maryland?

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

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

What are the current PM10 levels at Marlton, Maryland?

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

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

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

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

What are the current PM₁₀ levels at Marlton, Maryland?

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

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

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