What is the current concentration of PM10 in Hagerstown, Maryland?

The current PM10 concentration at Hagerstown, Maryland is 19.527 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Hagerstown, Maryland?

The current sulfur dioxide (SO2) concentration at Hagerstown, Maryland is 0.58 ppb.

What is the current concentration of ozone (O3) in Hagerstown, Maryland?

The current ozone (O3) concentration at Hagerstown, Maryland is 29.29 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Hagerstown, Maryland?

The current nitrogen dioxide (NO2) concentration at Hagerstown, Maryland is 18.809 ppb.

Hagerstown, Maryland live air quality index now

Q: What is the current concentration of PM2.5 in Hagerstown, Maryland?

The current PM2.5 concentration at Hagerstown, Maryland is 4.598 μg/m3.

Stay updated with real-time air quality in Hagerstown, 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

Hagerstown, Maryland

Last updated: ... (Local time)

Major air pollutants in Hagerstown, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.60 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.53 μg/m³

155

255

425

605+

Ozone (O₃)

29.29 ppb

201

201+

Sulfur Dioxide (SO₂)

0.58 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

18.81 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Hagerstown, Maryland

Get Live Pollen Counts

Hagerstown, Maryland

Scroll To Air Quality Map

Track live Hagerstown, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-21T06:00:00.000Z	22 \| good	4.457 \| good	19.718 \| good	12.492 \| good	0.566 \| good	19.596 \| good	0.418 \| good
2026-01-21T07:00:00.000Z	22 \| good	4.489 \| good	19.547 \| good	10.124 \| good	0.594 \| good	23.138 \| good	0.418 \| good
2026-01-21T08:00:00.000Z	44 \| good	7.971 \| good	34.126 \| good	7.939 \| good	0.709 \| good	22.656 \| good	0.438 \| good
2026-01-21T09:00:00.000Z	52 \| moderate	9.856 \| good	43.463 \| good	8.282 \| good	0.484 \| good	22.104 \| good	0.438 \| good
2026-01-21T10:00:00.000Z	44 \| good	7.92 \| good	33.882 \| good	15.293 \| good	0.431 \| good	21.342 \| good	0.417 \| good
2026-01-21T11:00:00.000Z	38 \| good	7.429 \| good	31.927 \| good	5.394 \| good	0.753 \| good	21.303 \| good	0.457 \| good
2026-01-21T12:00:00.000Z	33 \| good	6.386 \| good	28.32 \| good	15.505 \| good	0.838 \| good	20.108 \| good	0.557 \| good
2026-01-21T13:00:00.000Z	33 \| good	6.344 \| good	28.12 \| good	11.789 \| good	0.843 \| good	23.624 \| good	0.597 \| good
2026-01-21T14:00:00.000Z	33 \| good	6.219 \| good	27.041 \| good	10.853 \| good	1.007 \| good	31.074 \| good	0.636 \| good
2026-01-21T15:00:00.000Z	33 \| good	5.952 \| good	25.83 \| good	13.079 \| good	0.923 \| good	27.27 \| good	0.574 \| good
2026-01-21T16:00:00.000Z	27 \| good	5.089 \| good	22.37 \| good	21.267 \| good	0.704 \| good	17.94 \| good	0.441 \| good
2026-01-21T17:00:00.000Z	23 \| good	4.495 \| good	19.266 \| good	25.233 \| good	0.646 \| good	14.494 \| good	0.378 \| good
2026-01-21T18:00:00.000Z	28 \| good	4.267 \| good	19.433 \| good	29.547 \| good	0.678 \| good	8.017 \| good	0.203 \| good
2026-01-21T19:00:00.000Z	31 \| good	3.682 \| good	16.295 \| good	33.162 \| good	0.612 \| good	5.887 \| good	0.213 \| good
2026-01-21T20:00:00.000Z	31 \| good	2.936 \| good	12.567 \| good	32.865 \| good	0.642 \| good	5.768 \| good	0.202 \| good
2026-01-21T21:00:00.000Z	33 \| good	2.573 \| good	10.801 \| good	35.993 \| good	0.622 \| good	5.011 \| good	0.181 \| good
2026-01-21T22:00:00.000Z	33 \| good	2.241 \| good	9.698 \| good	36.425 \| good	0.594 \| good	4.765 \| good	0.204 \| good
2026-01-21T23:00:00.000Z	32 \| good	2.658 \| good	10.701 \| good	34.746 \| good	0.564 \| good	4.457 \| good	0.205 \| good
2026-01-22T00:00:00.000Z	31 \| good	3.334 \| good	14.358 \| good	34.43 \| good	0.457 \| good	6.081 \| good	0.27 \| good
2026-01-22T01:00:00.000Z	32 \| good	3.283 \| good	14.531 \| good	35.414 \| good	0.477 \| good	7.294 \| good	0.302 \| good
2026-01-22T02:00:00.000Z	32 \| good	2.261 \| good	9.859 \| good	35.143 \| good	0.452 \| good	6.399 \| good	0.259 \| good
2026-01-22T03:00:00.000Z	28 \| good	4.529 \| good	20.218 \| good	30.482 \| good	0.454 \| good	6.811 \| good	0.215 \| good
2026-01-22T04:00:00.000Z	27 \| good	4.795 \| good	21.402 \| good	28.798 \| good	0.652 \| good	5.947 \| good	0.192 \| good
2026-01-22T05:00:00.000Z	38 \| good	6.821 \| good	29.191 \| good	24.639 \| good	1.031 \| good	5.461 \| good	0.192 \| good
2026-01-22T06:00:00.000Z	38 \| good	6.97 \| good	30.411 \| good	27.735 \| good	1.073 \| good	5.62 \| good	0.191 \| good
2026-01-22T07:00:00.000Z	44 \| good	7.919 \| good	34.619 \| good	30.136 \| good	0.713 \| good	5.539 \| good	0.19 \| good
2026-01-22T08:00:00.000Z	38 \| good	7.033 \| good	30.845 \| good	31.309 \| good	0.758 \| good	5.046 \| good	0.18 \| good
2026-01-22T09:00:00.000Z	38 \| good	6.533 \| good	28.259 \| good	28.569 \| good	0.676 \| good	4.868 \| good	0.19 \| good
2026-01-22T10:00:00.000Z	38 \| good	6.928 \| good	29.188 \| good	29.413 \| good	0.696 \| good	4.696 \| good	0.203 \| good
2026-01-22T11:00:00.000Z	38 \| good	6.884 \| good	29.554 \| good	31.21 \| good	0.657 \| good	5.364 \| good	0.248 \| good
2026-01-22T12:00:00.000Z	44 \| good	7.613 \| good	33.191 \| good	29.695 \| good	0.743 \| good	6.316 \| good	0.279 \| good
2026-01-22T13:00:00.000Z	44 \| good	7.519 \| good	32.633 \| good	33.862 \| good	0.721 \| good	6.646 \| good	0.302 \| good
2026-01-22T14:00:00.000Z	38 \| good	7.251 \| good	31.668 \| good	30.469 \| good	0.782 \| good	6.606 \| good	0.312 \| good
2026-01-22T15:00:00.000Z	33 \| good	5.931 \| good	26.23 \| good	25.579 \| good	0.701 \| good	8.041 \| good	0.357 \| good
2026-01-22T16:00:00.000Z	27 \| good	5.036 \| good	21.446 \| good	25.674 \| good	0.781 \| good	9.118 \| good	0.301 \| good
2026-01-22T17:00:00.000Z	29 \| good	5.031 \| good	21.715 \| good	30.571 \| good	0.615 \| good	5.371 \| good	0.224 \| good
2026-01-22T18:00:00.000Z	33 \| good	6.401 \| good	28.925 \| good	30.644 \| good	0.549 \| good	3.637 \| good	0.18 \| good
2026-01-22T19:00:00.000Z	27 \| good	5.396 \| good	22.853 \| good	26.685 \| good	0.477 \| good	2.425 \| good	0.157 \| good
2026-01-22T20:00:00.000Z	38 \| good	6.572 \| good	28.763 \| good	32.117 \| good	0.521 \| good	2.594 \| good	0.14 \| good
2026-01-22T21:00:00.000Z	33 \| good	6.197 \| good	27.109 \| good	31.603 \| good	0.526 \| good	1.853 \| good	0.14 \| good
2026-01-22T22:00:00.000Z	36 \| good	5.539 \| good	22.983 \| good	39.258 \| good	0.461 \| good	2.258 \| good	0.14 \| good
2026-01-22T23:00:00.000Z	36 \| good	5.214 \| good	22.222 \| good	38.897 \| good	0.503 \| good	5.562 \| good	0.14 \| good
2026-01-23T00:00:00.000Z	33 \| good	5.012 \| good	21.233 \| good	36.289 \| good	0.441 \| good	7.145 \| good	0.14 \| good
2026-01-23T01:00:00.000Z	31 \| good	4.035 \| good	17.507 \| good	34.287 \| good	0.459 \| good	9.591 \| good	0.159 \| good
2026-01-23T02:00:00.000Z	31 \| good	3.983 \| good	18.255 \| good	33.406 \| good	0.462 \| good	13.029 \| good	0.14 \| good
2026-01-23T03:00:00.000Z	30 \| good	4.941 \| good	21.742 \| good	31.65 \| good	0.455 \| good	16.02 \| good	0.18 \| good
2026-01-23T04:00:00.000Z	27 \| good	4.598 \| good	19.527 \| good	29.29 \| good	0.58 \| good	18.809 \| good	0.18 \| good
2026-01-23T05:00:00.000Z	27 \| good	4.598 \| good	19.527 \| good	29.29 \| good	0.58 \| good	18.809 \| good	0.18 \| good
2026-01-23T06:00:00.000Z	38 \| good	6.858 \| good	30.511 \| good	20.259 \| good	2.6 \| good	5.116 \| good	0.195 \| good
2026-01-23T07:00:00.000Z	38 \| good	7.033 \| good	31.164 \| good	19.83 \| good	2.782 \| good	4.836 \| good	0.192 \| good
2026-01-23T08:00:00.000Z	38 \| good	6.76 \| good	30 \| good	20.457 \| good	2.964 \| good	4.556 \| good	0.189 \| good
2026-01-23T09:00:00.000Z	27 \| good	5.009 \| good	21.8 \| good	23.261 \| good	3.146 \| good	4.276 \| good	0.185 \| good
2026-01-23T10:00:00.000Z	22 \| good	3.853 \| good	16.757 \| good	21.962 \| good	3.559 \| good	4.548 \| good	0.185 \| good
2026-01-23T11:00:00.000Z	22 \| good	4.119 \| good	18.058 \| good	20.894 \| good	3.973 \| good	4.82 \| good	0.186 \| good
2026-01-23T12:00:00.000Z	19 \| good	2.472 \| good	10.145 \| good	21.458 \| good	4.387 \| good	5.092 \| good	0.186 \| good
2026-01-23T13:00:00.000Z	20 \| good	3.473 \| good	15.344 \| good	22.276 \| good	4.271 \| good	4.542 \| good	0.182 \| good
2026-01-23T14:00:00.000Z	24 \| good	2.823 \| good	11.522 \| good	25.651 \| good	4.156 \| good	3.992 \| good	0.178 \| good
2026-01-23T15:00:00.000Z	24 \| good	2.892 \| good	11.684 \| good	25.94 \| good	4.04 \| good	3.442 \| good	0.175 \| good
2026-01-23T16:00:00.000Z	27 \| good	4.707 \| good	20.418 \| good	28.102 \| good	3.648 \| good	3.125 \| good	0.176 \| good
2026-01-23T17:00:00.000Z	30 \| good	5.186 \| good	22.524 \| good	31.638 \| good	3.255 \| good	2.808 \| good	0.177 \| good
2026-01-23T18:00:00.000Z	32 \| good	2.326 \| good	9.582 \| good	34.706 \| good	2.862 \| good	2.491 \| good	0.178 \| good
2026-01-23T19:00:00.000Z	32 \| good	0.514 \| good	2.031 \| good	35.432 \| good	2.524 \| good	2.467 \| good	0.169 \| good
2026-01-23T20:00:00.000Z	32 \| good	1.478 \| good	6.284 \| good	34.781 \| good	2.186 \| good	2.444 \| good	0.159 \| good
2026-01-23T21:00:00.000Z	27 \| good	1.454 \| good	6.009 \| good	28.864 \| good	1.848 \| good	2.42 \| good	0.149 \| good
2026-01-23T22:00:00.000Z	23 \| good	0.184 \| good	0.396 \| good	25.383 \| good	1.891 \| good	2.707 \| good	0.152 \| good
2026-01-23T23:00:00.000Z	22 \| good	0.244 \| good	0.983 \| good	24.36 \| good	1.934 \| good	2.994 \| good	0.154 \| good
2026-01-24T00:00:00.000Z	20 \| good	2.512 \| good	9.98 \| good	21.952 \| good	1.977 \| good	3.281 \| good	0.157 \| good
2026-01-24T01:00:00.000Z	22 \| good	2.594 \| good	10.593 \| good	24.256 \| good	1.886 \| good	2.949 \| good	0.152 \| good
2026-01-24T02:00:00.000Z	22 \| good	2.053 \| good	8.144 \| good	24.358 \| good	1.794 \| good	2.617 \| good	0.148 \| good
2026-01-24T03:00:00.000Z	20 \| good	0.925 \| good	3.96 \| good	22.032 \| good	1.703 \| good	2.285 \| good	0.144 \| good
2026-01-24T04:00:00.000Z	19 \| good	1.925 \| good	8 \| good	21.292 \| good	1.576 \| good	2.091 \| good	0.142 \| good
2026-01-24T05:00:00.000Z	20 \| good	2.898 \| good	11.912 \| good	21.832 \| good	1.448 \| good	1.898 \| good	0.141 \| good
2026-01-24T06:00:00.000Z	20 \| good	1.227 \| good	5.025 \| good	22.04 \| good	1.321 \| good	1.705 \| good	0.139 \| good
2026-01-24T07:00:00.000Z	20 \| good	0.712 \| good	2.493 \| good	22.118 \| good	1.227 \| good	1.634 \| good	0.139 \| good
2026-01-24T08:00:00.000Z	20 \| good	1.749 \| good	7.12 \| good	21.888 \| good	1.134 \| good	1.563 \| good	0.139 \| good
2026-01-24T09:00:00.000Z	19 \| good	1.67 \| good	7.025 \| good	21.487 \| good	1.041 \| good	1.493 \| good	0.139 \| good
2026-01-24T10:00:00.000Z	21 \| good	2.338 \| good	10 \| good	22.563 \| good	0.96 \| good	1.565 \| good	0.14 \| good
2026-01-24T11:00:00.000Z	19 \| good	1.585 \| good	6.307 \| good	20.169 \| good	0.879 \| good	1.637 \| good	0.142 \| good
2026-01-24T12:00:00.000Z	20 \| good	0.35 \| good	1.349 \| good	22.3 \| good	0.798 \| good	1.71 \| good	0.143 \| good
2026-01-24T13:00:00.000Z	19 \| good	0.368 \| good	1.349 \| good	21.455 \| good	0.699 \| good	1.598 \| good	0.144 \| good
2026-01-24T14:00:00.000Z	21 \| good	0.358 \| good	1.349 \| good	22.57 \| good	0.601 \| good	1.486 \| good	0.145 \| good
2026-01-24T15:00:00.000Z	18 \| good	0.941 \| good	3.528 \| good	18.737 \| good	0.503 \| good	1.374 \| good	0.146 \| good
2026-01-24T16:00:00.000Z	19 \| good	1.246 \| good	5.036 \| good	20.351 \| good	0.457 \| good	1.272 \| good	0.145 \| good
2026-01-24T17:00:00.000Z	19 \| good	1.323 \| good	5.365 \| good	19.877 \| good	0.411 \| good	1.17 \| good	0.143 \| good
2026-01-24T18:00:00.000Z	19 \| good	0.349 \| good	1.337 \| good	20.543 \| good	0.365 \| good	1.068 \| good	0.142 \| good
2026-01-24T19:00:00.000Z	20 \| good	0.423 \| good	1.438 \| good	22.299 \| good	0.362 \| good	1.291 \| good	0.143 \| good
2026-01-24T20:00:00.000Z	20 \| good	0.805 \| good	3.281 \| good	22.244 \| good	0.359 \| good	1.515 \| good	0.143 \| good
2026-01-24T21:00:00.000Z	21 \| good	0.316 \| good	1.224 \| good	22.523 \| good	0.355 \| good	1.738 \| good	0.143 \| good
2026-01-24T22:00:00.000Z	21 \| good	0.339 \| good	1.249 \| good	23.047 \| good	0.373 \| good	1.986 \| good	0.145 \| good
2026-01-24T23:00:00.000Z	21 \| good	1.31 \| good	5.088 \| good	23.278 \| good	0.39 \| good	2.234 \| good	0.147 \| good
2026-01-25T00:00:00.000Z	30 \| good	2.463 \| good	2.617 \| good	31.747 \| good	0.412 \| good	2.495 \| good	0.149 \| good
2026-01-25T01:00:00.000Z	18 \| good	0.313 \| good	1.224 \| good	19.285 \| good	0.51 \| good	2.568 \| good	0.15 \| good
2026-01-25T02:00:00.000Z	19 \| good	0.651 \| good	2.396 \| good	19.804 \| good	0.612 \| good	2.653 \| good	0.152 \| good
2026-01-25T03:00:00.000Z	13 \| good	0.55 \| good	2.233 \| good	14.131 \| good	0.714 \| good	2.739 \| good	0.153 \| good
2026-01-25T04:00:00.000Z	12 \| good	1.085 \| good	4.334 \| good	13.022 \| good	0.994 \| good	2.919 \| good	0.155 \| good
2026-01-25T05:00:00.000Z	22 \| good	4.354 \| good	19.29 \| good	11.687 \| good	1.274 \| good	3.099 \| good	0.157 \| good

Hagerstown

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Hagerstown, Maryland air quality map: Track AQI near you

0.18ppm

How accurate is Maryland, USA air quality data?

Air quality data and pollutant measurements for Maryland, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Hagerstown, Maryland updated?

The air quality for Hagerstown, Maryland is updated every hour.

When was the worst air quality at Hagerstown, Maryland in the last 24 hrs?

The worst air quality in Hagerstown, Maryland in the last 24 hours was observed at 01:00:00 on 2026-01-22.

When was the best air quality at Hagerstown, Maryland in the last 24 hrs?

In the last 24 hrs, the best air quality in Hagerstown, Maryland was observed at 04:00:00 on 2026-01-23.

What is the current air quality in Hagerstown, Maryland?

The current air quality in Hagerstown, Maryland is 27, categorized as Good based on real-time data.

What pollutant is the most common in Hagerstown, Maryland?

The most common pollutant in Hagerstown, Maryland is O3.

What should I do if the air quality in Hagerstown, Maryland is poor?

If the air quality in Hagerstown, Maryland is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Hagerstown, Maryland?

The current PM_2.5 concentration at Hagerstown, Maryland is 4.598 μg/m³.

What is the current concentration of PM₁₀ in Hagerstown, Maryland?

The current PM₁₀ concentration at Hagerstown, Maryland is 19.527 μg/m³.

What is the current concentration of carbon monoxide (CO) in Hagerstown, Maryland?

The current carbon monoxide (CO) concentration at Hagerstown, Maryland is 0.18 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Hagerstown, Maryland?

The current sulfur dioxide (SO₂) concentration at Hagerstown, Maryland is 0.58 ppb.

What is the current concentration of ozone (O₃) in Hagerstown, Maryland?

The current ozone (O₃) concentration at Hagerstown, Maryland is 29.29 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Hagerstown, Maryland?

The current nitrogen dioxide (NO₂) concentration at Hagerstown, Maryland is 18.809 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-21T06:00:00.000Z	22 \| good	4.457 \| good	19.718 \| good	12.492 \| good	0.566 \| good	19.596 \| good	0.418 \| good
2026-01-21T07:00:00.000Z	22 \| good	4.489 \| good	19.547 \| good	10.124 \| good	0.594 \| good	23.138 \| good	0.418 \| good
2026-01-21T08:00:00.000Z	44 \| good	7.971 \| good	34.126 \| good	7.939 \| good	0.709 \| good	22.656 \| good	0.438 \| good
2026-01-21T09:00:00.000Z	52 \| moderate	9.856 \| good	43.463 \| good	8.282 \| good	0.484 \| good	22.104 \| good	0.438 \| good
2026-01-21T10:00:00.000Z	44 \| good	7.92 \| good	33.882 \| good	15.293 \| good	0.431 \| good	21.342 \| good	0.417 \| good
2026-01-21T11:00:00.000Z	38 \| good	7.429 \| good	31.927 \| good	5.394 \| good	0.753 \| good	21.303 \| good	0.457 \| good
2026-01-21T12:00:00.000Z	33 \| good	6.386 \| good	28.32 \| good	15.505 \| good	0.838 \| good	20.108 \| good	0.557 \| good
2026-01-21T13:00:00.000Z	33 \| good	6.344 \| good	28.12 \| good	11.789 \| good	0.843 \| good	23.624 \| good	0.597 \| good
2026-01-21T14:00:00.000Z	33 \| good	6.219 \| good	27.041 \| good	10.853 \| good	1.007 \| good	31.074 \| good	0.636 \| good
2026-01-21T15:00:00.000Z	33 \| good	5.952 \| good	25.83 \| good	13.079 \| good	0.923 \| good	27.27 \| good	0.574 \| good
2026-01-21T16:00:00.000Z	27 \| good	5.089 \| good	22.37 \| good	21.267 \| good	0.704 \| good	17.94 \| good	0.441 \| good
2026-01-21T17:00:00.000Z	23 \| good	4.495 \| good	19.266 \| good	25.233 \| good	0.646 \| good	14.494 \| good	0.378 \| good
2026-01-21T18:00:00.000Z	28 \| good	4.267 \| good	19.433 \| good	29.547 \| good	0.678 \| good	8.017 \| good	0.203 \| good
2026-01-21T19:00:00.000Z	31 \| good	3.682 \| good	16.295 \| good	33.162 \| good	0.612 \| good	5.887 \| good	0.213 \| good
2026-01-21T20:00:00.000Z	31 \| good	2.936 \| good	12.567 \| good	32.865 \| good	0.642 \| good	5.768 \| good	0.202 \| good
2026-01-21T21:00:00.000Z	33 \| good	2.573 \| good	10.801 \| good	35.993 \| good	0.622 \| good	5.011 \| good	0.181 \| good
2026-01-21T22:00:00.000Z	33 \| good	2.241 \| good	9.698 \| good	36.425 \| good	0.594 \| good	4.765 \| good	0.204 \| good
2026-01-21T23:00:00.000Z	32 \| good	2.658 \| good	10.701 \| good	34.746 \| good	0.564 \| good	4.457 \| good	0.205 \| good
2026-01-22T00:00:00.000Z	31 \| good	3.334 \| good	14.358 \| good	34.43 \| good	0.457 \| good	6.081 \| good	0.27 \| good
2026-01-22T01:00:00.000Z	32 \| good	3.283 \| good	14.531 \| good	35.414 \| good	0.477 \| good	7.294 \| good	0.302 \| good
2026-01-22T02:00:00.000Z	32 \| good	2.261 \| good	9.859 \| good	35.143 \| good	0.452 \| good	6.399 \| good	0.259 \| good
2026-01-22T03:00:00.000Z	28 \| good	4.529 \| good	20.218 \| good	30.482 \| good	0.454 \| good	6.811 \| good	0.215 \| good
2026-01-22T04:00:00.000Z	27 \| good	4.795 \| good	21.402 \| good	28.798 \| good	0.652 \| good	5.947 \| good	0.192 \| good
2026-01-22T05:00:00.000Z	38 \| good	6.821 \| good	29.191 \| good	24.639 \| good	1.031 \| good	5.461 \| good	0.192 \| good
2026-01-22T06:00:00.000Z	38 \| good	6.97 \| good	30.411 \| good	27.735 \| good	1.073 \| good	5.62 \| good	0.191 \| good
2026-01-22T07:00:00.000Z	44 \| good	7.919 \| good	34.619 \| good	30.136 \| good	0.713 \| good	5.539 \| good	0.19 \| good
2026-01-22T08:00:00.000Z	38 \| good	7.033 \| good	30.845 \| good	31.309 \| good	0.758 \| good	5.046 \| good	0.18 \| good
2026-01-22T09:00:00.000Z	38 \| good	6.533 \| good	28.259 \| good	28.569 \| good	0.676 \| good	4.868 \| good	0.19 \| good
2026-01-22T10:00:00.000Z	38 \| good	6.928 \| good	29.188 \| good	29.413 \| good	0.696 \| good	4.696 \| good	0.203 \| good
2026-01-22T11:00:00.000Z	38 \| good	6.884 \| good	29.554 \| good	31.21 \| good	0.657 \| good	5.364 \| good	0.248 \| good
2026-01-22T12:00:00.000Z	44 \| good	7.613 \| good	33.191 \| good	29.695 \| good	0.743 \| good	6.316 \| good	0.279 \| good
2026-01-22T13:00:00.000Z	44 \| good	7.519 \| good	32.633 \| good	33.862 \| good	0.721 \| good	6.646 \| good	0.302 \| good
2026-01-22T14:00:00.000Z	38 \| good	7.251 \| good	31.668 \| good	30.469 \| good	0.782 \| good	6.606 \| good	0.312 \| good
2026-01-22T15:00:00.000Z	33 \| good	5.931 \| good	26.23 \| good	25.579 \| good	0.701 \| good	8.041 \| good	0.357 \| good
2026-01-22T16:00:00.000Z	27 \| good	5.036 \| good	21.446 \| good	25.674 \| good	0.781 \| good	9.118 \| good	0.301 \| good
2026-01-22T17:00:00.000Z	29 \| good	5.031 \| good	21.715 \| good	30.571 \| good	0.615 \| good	5.371 \| good	0.224 \| good
2026-01-22T18:00:00.000Z	33 \| good	6.401 \| good	28.925 \| good	30.644 \| good	0.549 \| good	3.637 \| good	0.18 \| good
2026-01-22T19:00:00.000Z	27 \| good	5.396 \| good	22.853 \| good	26.685 \| good	0.477 \| good	2.425 \| good	0.157 \| good
2026-01-22T20:00:00.000Z	38 \| good	6.572 \| good	28.763 \| good	32.117 \| good	0.521 \| good	2.594 \| good	0.14 \| good
2026-01-22T21:00:00.000Z	33 \| good	6.197 \| good	27.109 \| good	31.603 \| good	0.526 \| good	1.853 \| good	0.14 \| good
2026-01-22T22:00:00.000Z	36 \| good	5.539 \| good	22.983 \| good	39.258 \| good	0.461 \| good	2.258 \| good	0.14 \| good
2026-01-22T23:00:00.000Z	36 \| good	5.214 \| good	22.222 \| good	38.897 \| good	0.503 \| good	5.562 \| good	0.14 \| good
2026-01-23T00:00:00.000Z	33 \| good	5.012 \| good	21.233 \| good	36.289 \| good	0.441 \| good	7.145 \| good	0.14 \| good
2026-01-23T01:00:00.000Z	31 \| good	4.035 \| good	17.507 \| good	34.287 \| good	0.459 \| good	9.591 \| good	0.159 \| good
2026-01-23T02:00:00.000Z	31 \| good	3.983 \| good	18.255 \| good	33.406 \| good	0.462 \| good	13.029 \| good	0.14 \| good
2026-01-23T03:00:00.000Z	30 \| good	4.941 \| good	21.742 \| good	31.65 \| good	0.455 \| good	16.02 \| good	0.18 \| good
2026-01-23T04:00:00.000Z	27 \| good	4.598 \| good	19.527 \| good	29.29 \| good	0.58 \| good	18.809 \| good	0.18 \| good
2026-01-23T05:00:00.000Z	27 \| good	4.598 \| good	19.527 \| good	29.29 \| good	0.58 \| good	18.809 \| good	0.18 \| good
2026-01-23T06:00:00.000Z	38 \| good	6.858 \| good	30.511 \| good	20.259 \| good	2.6 \| good	5.116 \| good	0.195 \| good
2026-01-23T07:00:00.000Z	38 \| good	7.033 \| good	31.164 \| good	19.83 \| good	2.782 \| good	4.836 \| good	0.192 \| good
2026-01-23T08:00:00.000Z	38 \| good	6.76 \| good	30 \| good	20.457 \| good	2.964 \| good	4.556 \| good	0.189 \| good
2026-01-23T09:00:00.000Z	27 \| good	5.009 \| good	21.8 \| good	23.261 \| good	3.146 \| good	4.276 \| good	0.185 \| good
2026-01-23T10:00:00.000Z	22 \| good	3.853 \| good	16.757 \| good	21.962 \| good	3.559 \| good	4.548 \| good	0.185 \| good
2026-01-23T11:00:00.000Z	22 \| good	4.119 \| good	18.058 \| good	20.894 \| good	3.973 \| good	4.82 \| good	0.186 \| good
2026-01-23T12:00:00.000Z	19 \| good	2.472 \| good	10.145 \| good	21.458 \| good	4.387 \| good	5.092 \| good	0.186 \| good
2026-01-23T13:00:00.000Z	20 \| good	3.473 \| good	15.344 \| good	22.276 \| good	4.271 \| good	4.542 \| good	0.182 \| good
2026-01-23T14:00:00.000Z	24 \| good	2.823 \| good	11.522 \| good	25.651 \| good	4.156 \| good	3.992 \| good	0.178 \| good
2026-01-23T15:00:00.000Z	24 \| good	2.892 \| good	11.684 \| good	25.94 \| good	4.04 \| good	3.442 \| good	0.175 \| good
2026-01-23T16:00:00.000Z	27 \| good	4.707 \| good	20.418 \| good	28.102 \| good	3.648 \| good	3.125 \| good	0.176 \| good
2026-01-23T17:00:00.000Z	30 \| good	5.186 \| good	22.524 \| good	31.638 \| good	3.255 \| good	2.808 \| good	0.177 \| good
2026-01-23T18:00:00.000Z	32 \| good	2.326 \| good	9.582 \| good	34.706 \| good	2.862 \| good	2.491 \| good	0.178 \| good
2026-01-23T19:00:00.000Z	32 \| good	0.514 \| good	2.031 \| good	35.432 \| good	2.524 \| good	2.467 \| good	0.169 \| good
2026-01-23T20:00:00.000Z	32 \| good	1.478 \| good	6.284 \| good	34.781 \| good	2.186 \| good	2.444 \| good	0.159 \| good
2026-01-23T21:00:00.000Z	27 \| good	1.454 \| good	6.009 \| good	28.864 \| good	1.848 \| good	2.42 \| good	0.149 \| good
2026-01-23T22:00:00.000Z	23 \| good	0.184 \| good	0.396 \| good	25.383 \| good	1.891 \| good	2.707 \| good	0.152 \| good
2026-01-23T23:00:00.000Z	22 \| good	0.244 \| good	0.983 \| good	24.36 \| good	1.934 \| good	2.994 \| good	0.154 \| good
2026-01-24T00:00:00.000Z	20 \| good	2.512 \| good	9.98 \| good	21.952 \| good	1.977 \| good	3.281 \| good	0.157 \| good
2026-01-24T01:00:00.000Z	22 \| good	2.594 \| good	10.593 \| good	24.256 \| good	1.886 \| good	2.949 \| good	0.152 \| good
2026-01-24T02:00:00.000Z	22 \| good	2.053 \| good	8.144 \| good	24.358 \| good	1.794 \| good	2.617 \| good	0.148 \| good
2026-01-24T03:00:00.000Z	20 \| good	0.925 \| good	3.96 \| good	22.032 \| good	1.703 \| good	2.285 \| good	0.144 \| good
2026-01-24T04:00:00.000Z	19 \| good	1.925 \| good	8 \| good	21.292 \| good	1.576 \| good	2.091 \| good	0.142 \| good
2026-01-24T05:00:00.000Z	20 \| good	2.898 \| good	11.912 \| good	21.832 \| good	1.448 \| good	1.898 \| good	0.141 \| good
2026-01-24T06:00:00.000Z	20 \| good	1.227 \| good	5.025 \| good	22.04 \| good	1.321 \| good	1.705 \| good	0.139 \| good
2026-01-24T07:00:00.000Z	20 \| good	0.712 \| good	2.493 \| good	22.118 \| good	1.227 \| good	1.634 \| good	0.139 \| good
2026-01-24T08:00:00.000Z	20 \| good	1.749 \| good	7.12 \| good	21.888 \| good	1.134 \| good	1.563 \| good	0.139 \| good
2026-01-24T09:00:00.000Z	19 \| good	1.67 \| good	7.025 \| good	21.487 \| good	1.041 \| good	1.493 \| good	0.139 \| good
2026-01-24T10:00:00.000Z	21 \| good	2.338 \| good	10 \| good	22.563 \| good	0.96 \| good	1.565 \| good	0.14 \| good
2026-01-24T11:00:00.000Z	19 \| good	1.585 \| good	6.307 \| good	20.169 \| good	0.879 \| good	1.637 \| good	0.142 \| good
2026-01-24T12:00:00.000Z	20 \| good	0.35 \| good	1.349 \| good	22.3 \| good	0.798 \| good	1.71 \| good	0.143 \| good
2026-01-24T13:00:00.000Z	19 \| good	0.368 \| good	1.349 \| good	21.455 \| good	0.699 \| good	1.598 \| good	0.144 \| good
2026-01-24T14:00:00.000Z	21 \| good	0.358 \| good	1.349 \| good	22.57 \| good	0.601 \| good	1.486 \| good	0.145 \| good
2026-01-24T15:00:00.000Z	18 \| good	0.941 \| good	3.528 \| good	18.737 \| good	0.503 \| good	1.374 \| good	0.146 \| good
2026-01-24T16:00:00.000Z	19 \| good	1.246 \| good	5.036 \| good	20.351 \| good	0.457 \| good	1.272 \| good	0.145 \| good
2026-01-24T17:00:00.000Z	19 \| good	1.323 \| good	5.365 \| good	19.877 \| good	0.411 \| good	1.17 \| good	0.143 \| good
2026-01-24T18:00:00.000Z	19 \| good	0.349 \| good	1.337 \| good	20.543 \| good	0.365 \| good	1.068 \| good	0.142 \| good
2026-01-24T19:00:00.000Z	20 \| good	0.423 \| good	1.438 \| good	22.299 \| good	0.362 \| good	1.291 \| good	0.143 \| good
2026-01-24T20:00:00.000Z	20 \| good	0.805 \| good	3.281 \| good	22.244 \| good	0.359 \| good	1.515 \| good	0.143 \| good
2026-01-24T21:00:00.000Z	21 \| good	0.316 \| good	1.224 \| good	22.523 \| good	0.355 \| good	1.738 \| good	0.143 \| good
2026-01-24T22:00:00.000Z	21 \| good	0.339 \| good	1.249 \| good	23.047 \| good	0.373 \| good	1.986 \| good	0.145 \| good
2026-01-24T23:00:00.000Z	21 \| good	1.31 \| good	5.088 \| good	23.278 \| good	0.39 \| good	2.234 \| good	0.147 \| good
2026-01-25T00:00:00.000Z	30 \| good	2.463 \| good	2.617 \| good	31.747 \| good	0.412 \| good	2.495 \| good	0.149 \| good
2026-01-25T01:00:00.000Z	18 \| good	0.313 \| good	1.224 \| good	19.285 \| good	0.51 \| good	2.568 \| good	0.15 \| good
2026-01-25T02:00:00.000Z	19 \| good	0.651 \| good	2.396 \| good	19.804 \| good	0.612 \| good	2.653 \| good	0.152 \| good
2026-01-25T03:00:00.000Z	13 \| good	0.55 \| good	2.233 \| good	14.131 \| good	0.714 \| good	2.739 \| good	0.153 \| good
2026-01-25T04:00:00.000Z	12 \| good	1.085 \| good	4.334 \| good	13.022 \| good	0.994 \| good	2.919 \| good	0.155 \| good
2026-01-25T05:00:00.000Z	22 \| good	4.354 \| good	19.29 \| good	11.687 \| good	1.274 \| good	3.099 \| good	0.157 \| good

Hagerstown, Maryland live air quality index now

Major air pollutants in Hagerstown, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Hagerstown, Maryland air quality map: Track AQI near you

Air quality in nearby cities

Halfway, Maryland

Waynesboro, Pennsylvania

Martinsburg, West Virginia

Guilford, Pennsylvania

Chambersburg, Pennsylvania

Greene Township, Pennsylvania

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

How often is the air quality data for Hagerstown, Maryland updated?

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What is the current air quality in Hagerstown, Maryland?

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What is the current concentration of PM2.5 in Hagerstown, Maryland?

What is the current concentration of PM10 in Hagerstown, Maryland?

What is the current concentration of carbon monoxide (CO) in Hagerstown, Maryland?

What is the current concentration of sulfur dioxide (SO2) in Hagerstown, Maryland?

What is the current concentration of ozone (O3) in Hagerstown, Maryland?

What is the current concentration of nitrogen dioxide (NO2) in Hagerstown, Maryland?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Hagerstown, Maryland?

What is the current concentration of PM₁₀ in Hagerstown, Maryland?

What is the current concentration of sulfur dioxide (SO₂) in Hagerstown, Maryland?

What is the current concentration of ozone (O₃) in Hagerstown, Maryland?

What is the current concentration of nitrogen dioxide (NO₂) in Hagerstown, Maryland?