What are the current PM10 levels at Martinsville, Indiana?

The current PM10 levels in Martinsville, Indiana are 20.884 μg/m3.

What are the current sulfur dioxide (SO2) levels at Martinsville, Indiana?

The current sulfur dioxide (SO2) levels in Martinsville, Indiana are 0.972 ppb.

What are the current ozone (O3) levels at Martinsville, Indiana?

The current ozone (O3) levels at Martinsville, Indiana is 20.612 ppm.

What are the current nitrogen dioxide (NO2) levels at Martinsville, Indiana?

The current nitrogen dioxide (NO2) levels at Martinsville, Indiana is 6.038 ppb.

Real-time air quality index in Martinsville, Indiana today

Q: What are the current PM2.5 levels in Martinsville, Indiana?

The measured PM2.5 levels in Martinsville, Indiana at present are 3.508 μg/m3.

Stay updated with real-time air quality in Martinsville, Indiana 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

Martinsville, Indiana

Last updated: ... (Local time)

Common air pollutants in Martinsville, Indiana

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.51 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

20.88 μg/m³

155

255

425

605+

Ozone (O₃)

20.61 ppb

201

201+

Sulfur Dioxide (SO₂)

0.97 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.04 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.24 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Martinsville, Indiana

Get Live Pollen Counts

Martinsville, Indiana

Scroll To Air Quality Map

Track live Martinsville, Indiana air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T15:00:00.000Z	16 \| good	3.388 \| good	14.298 \| good	11.42 \| good	0.614 \| good	15.136 \| good	0.443 \| good
2025-10-20T16:00:00.000Z	27 \| good	4.917 \| good	17.672 \| good	10.413 \| good	0.977 \| good	14.066 \| good	0.333 \| good
2025-10-20T17:00:00.000Z	27 \| good	4.74 \| good	19.541 \| good	15.989 \| good	1.021 \| good	8.82 \| good	0.242 \| good
2025-10-20T18:00:00.000Z	22 \| good	4.091 \| good	17.391 \| good	21.822 \| good	0.747 \| good	6.667 \| good	0.21 \| good
2025-10-20T19:00:00.000Z	25 \| good	3.479 \| good	11.897 \| good	26.673 \| good	1.016 \| good	5.222 \| good	0.21 \| good
2025-10-20T20:00:00.000Z	27 \| good	3.101 \| good	13.321 \| good	29.176 \| good	0.962 \| good	5.015 \| good	0.21 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.811 \| good	10.177 \| good	32.056 \| good	0.783 \| good	5.704 \| good	0.223 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.55 \| good	11.008 \| good	33.321 \| good	0.664 \| good	4.716 \| good	0.21 \| good
2025-10-20T23:00:00.000Z	32 \| good	3.501 \| good	15.266 \| good	35.479 \| good	0.503 \| good	6.264 \| good	0.235 \| good
2025-10-21T00:00:00.000Z	28 \| good	2.587 \| good	9.572 \| good	30.43 \| good	0.52 \| good	6.349 \| good	0.235 \| good
2025-10-21T01:00:00.000Z	31 \| good	2.867 \| good	11.414 \| good	32.951 \| good	0.467 \| good	5.959 \| good	0.235 \| good
2025-10-21T02:00:00.000Z	30 \| good	3.103 \| good	11.368 \| good	31.569 \| good	0.502 \| good	7.023 \| good	0.235 \| good
2025-10-21T03:00:00.000Z	28 \| good	2.066 \| good	8.416 \| good	29.556 \| good	1.305 \| good	1.999 \| good	0.14 \| good
2025-10-21T04:00:00.000Z	31 \| good	2.954 \| good	12.756 \| good	33.999 \| good	0.84 \| good	5.494 \| good	0.223 \| good
2025-10-21T05:00:00.000Z	29 \| good	3.293 \| good	15.269 \| good	30.988 \| good	0.482 \| good	6.046 \| good	0.223 \| good
2025-10-21T06:00:00.000Z	29 \| good	3.143 \| good	14.747 \| good	30.538 \| good	0.575 \| good	6.703 \| good	0.197 \| good
2025-10-21T07:00:00.000Z	27 \| good	3.35 \| good	12.982 \| good	29.46 \| good	0.589 \| good	4.799 \| good	0.21 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.007 \| good	15.786 \| good	29.341 \| good	0.52 \| good	5.746 \| good	0.21 \| good
2025-10-21T09:00:00.000Z	25 \| good	3.991 \| good	16.529 \| good	27.19 \| good	0.512 \| good	7.602 \| good	0.223 \| good
2025-10-21T10:00:00.000Z	24 \| good	3.999 \| good	14.09 \| good	26.133 \| good	0.923 \| good	9.669 \| good	0.223 \| good
2025-10-21T11:00:00.000Z	23 \| good	4.243 \| good	13.644 \| good	25.103 \| good	0.719 \| good	9.528 \| good	0.223 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.439 \| good	17.75 \| good	24.178 \| good	0.75 \| good	10.751 \| good	0.298 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.445 \| good	19.211 \| good	23.384 \| good	0.751 \| good	13.051 \| good	0.44 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.031 \| good	29.499 \| good	22.051 \| good	0.444 \| good	14.564 \| good	0.443 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.121 \| good	17.718 \| good	21.688 \| good	0.526 \| good	11.202 \| good	0.319 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.054 \| good	19.883 \| good	21.412 \| good	0.48 \| good	6.515 \| good	0.197 \| good
2025-10-21T17:00:00.000Z	27 \| good	4.542 \| good	19.691 \| good	28.662 \| good	0.608 \| good	4.02 \| good	0.235 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.935 \| good	16.538 \| good	30.619 \| good	0.602 \| good	3.254 \| good	0.21 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.426 \| good	16.331 \| good	32.883 \| good	0.522 \| good	2.709 \| good	0.21 \| good
2025-10-21T20:00:00.000Z	32 \| good	3.118 \| good	15.266 \| good	35.286 \| good	0.989 \| good	4.507 \| good	0.242 \| good
2025-10-21T21:00:00.000Z	31 \| good	2.937 \| good	14.225 \| good	33.443 \| good	0.496 \| good	5.339 \| good	0.23 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.951 \| good	15.903 \| good	33.622 \| good	0.402 \| good	5.37 \| good	0.23 \| good
2025-10-21T23:00:00.000Z	31 \| good	2.944 \| good	12.994 \| good	34.375 \| good	1.068 \| good	5.324 \| good	0.242 \| good
2025-10-22T00:00:00.000Z	29 \| good	2.833 \| good	12.408 \| good	30.72 \| good	1.01 \| good	6.049 \| good	0.242 \| good
2025-10-22T01:00:00.000Z	30 \| good	2.854 \| good	11.49 \| good	32.224 \| good	0.458 \| good	5.509 \| good	0.246 \| good
2025-10-22T02:00:00.000Z	28 \| good	3.007 \| good	13.241 \| good	30.126 \| good	0.762 \| good	6.123 \| good	0.23 \| good
2025-10-22T03:00:00.000Z	20 \| good	0.337 \| good	1 \| good	21.599 \| good	0.504 \| good	1.748 \| good	0.127 \| good
2025-10-22T04:00:00.000Z	27 \| good	2.759 \| good	12.017 \| good	28.603 \| good	1.262 \| good	4.462 \| good	0.242 \| good
2025-10-22T05:00:00.000Z	24 \| good	2.821 \| good	13.096 \| good	25.841 \| good	2.1 \| good	4.22 \| good	0.21 \| good
2025-10-22T06:00:00.000Z	23 \| good	2.855 \| good	14.88 \| good	25.214 \| good	1.556 \| good	3.116 \| good	0.197 \| good
2025-10-22T07:00:00.000Z	21 \| good	3.148 \| good	14.97 \| good	23.368 \| good	2.067 \| good	2.912 \| good	0.21 \| good
2025-10-22T08:00:00.000Z	23 \| good	3.023 \| good	14.124 \| good	25.053 \| good	1.664 \| good	3.699 \| good	0.197 \| good
2025-10-22T09:00:00.000Z	21 \| good	3.199 \| good	12.294 \| good	23.038 \| good	1.662 \| good	5.069 \| good	0.21 \| good
2025-10-22T10:00:00.000Z	19 \| good	2.761 \| good	12.66 \| good	21.039 \| good	1.031 \| good	7.473 \| good	0.223 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.826 \| good	12.441 \| good	20.452 \| good	0.941 \| good	7.642 \| good	0.255 \| good
2025-10-22T12:00:00.000Z	19 \| good	3.082 \| good	14.276 \| good	20.384 \| good	0.765 \| good	7.327 \| good	0.265 \| good
2025-10-22T13:00:00.000Z	19 \| good	3.324 \| good	13.511 \| good	20.534 \| good	0.715 \| good	7.096 \| good	0.311 \| good
2025-10-22T14:00:00.000Z	22 \| good	3.508 \| good	20.884 \| good	20.612 \| good	0.972 \| good	6.038 \| good	0.242 \| good
2025-10-22T14:00:00.000Z	22 \| good	3.508 \| good	20.884 \| good	20.612 \| good	0.972 \| good	6.038 \| good	0.242 \| good
2025-10-22T15:00:00.000Z	18 \| good	2.367 \| good	9.96 \| good	18.68 \| good	0.361 \| good	1.353 \| good	0.139 \| good
2025-10-22T16:00:00.000Z	23 \| good	3.199 \| good	13.736 \| good	24.544 \| good	0.319 \| good	1.173 \| good	0.134 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.805 \| good	16.631 \| good	28.923 \| good	0.277 \| good	0.994 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	30 \| good	3.653 \| good	16 \| good	31.927 \| good	0.236 \| good	0.815 \| good	0.124 \| good
2025-10-22T19:00:00.000Z	31 \| good	3.232 \| good	14.385 \| good	33.428 \| good	0.257 \| good	0.808 \| good	0.124 \| good
2025-10-22T20:00:00.000Z	31 \| good	2.821 \| good	11.658 \| good	33.49 \| good	0.279 \| good	0.801 \| good	0.123 \| good
2025-10-22T21:00:00.000Z	30 \| good	1.987 \| good	8.087 \| good	31.588 \| good	0.301 \| good	0.794 \| good	0.122 \| good
2025-10-22T22:00:00.000Z	27 \| good	1.615 \| good	6.532 \| good	28.749 \| good	0.371 \| good	1.349 \| good	0.127 \| good
2025-10-22T23:00:00.000Z	22 \| good	1.505 \| good	5.94 \| good	24.483 \| good	0.44 \| good	1.904 \| good	0.131 \| good
2025-10-23T00:00:00.000Z	22 \| good	1.075 \| good	4.365 \| good	24.359 \| good	0.51 \| good	2.46 \| good	0.136 \| good
2025-10-23T01:00:00.000Z	19 \| good	1.431 \| good	5.765 \| good	19.744 \| good	0.557 \| good	2.791 \| good	0.139 \| good
2025-10-23T02:00:00.000Z	15 \| good	2.146 \| good	8.873 \| good	16.495 \| good	0.603 \| good	3.123 \| good	0.142 \| good
2025-10-23T03:00:00.000Z	15 \| good	2.171 \| good	8.727 \| good	15.527 \| good	0.649 \| good	3.454 \| good	0.145 \| good
2025-10-23T04:00:00.000Z	14 \| good	1.991 \| good	8.247 \| good	15.242 \| good	0.638 \| good	3.417 \| good	0.144 \| good
2025-10-23T05:00:00.000Z	14 \| good	2.435 \| good	10 \| good	14.995 \| good	0.628 \| good	3.379 \| good	0.143 \| good
2025-10-23T06:00:00.000Z	16 \| good	2.638 \| good	10.722 \| good	12.401 \| good	0.617 \| good	3.342 \| good	0.142 \| good
2025-10-23T07:00:00.000Z	11 \| good	2.343 \| good	9.518 \| good	11.934 \| good	0.623 \| good	3.328 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	11 \| good	1.863 \| good	7.565 \| good	10.863 \| good	0.629 \| good	3.314 \| good	0.14 \| good
2025-10-23T09:00:00.000Z	11 \| good	2.266 \| good	9.211 \| good	9.908 \| good	0.635 \| good	3.3 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	11 \| good	2.127 \| good	8.738 \| good	8.985 \| good	0.658 \| good	3.605 \| good	0.142 \| good
2025-10-23T11:00:00.000Z	11 \| good	2.206 \| good	9.049 \| good	5.539 \| good	0.681 \| good	3.911 \| good	0.144 \| good
2025-10-23T12:00:00.000Z	16 \| good	3.306 \| good	14.028 \| good	5.819 \| good	0.704 \| good	4.217 \| good	0.146 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.214 \| good	13.631 \| good	6.479 \| good	0.746 \| good	3.68 \| good	0.145 \| good
2025-10-23T14:00:00.000Z	16 \| good	3.143 \| good	13.123 \| good	13.09 \| good	0.789 \| good	3.142 \| good	0.145 \| good
2025-10-23T15:00:00.000Z	21 \| good	2.552 \| good	10.116 \| good	22.707 \| good	0.831 \| good	2.604 \| good	0.145 \| good
2025-10-23T16:00:00.000Z	28 \| good	3.115 \| good	13.263 \| good	30.489 \| good	0.71 \| good	2.053 \| good	0.137 \| good
2025-10-23T17:00:00.000Z	31 \| good	3.25 \| good	14.275 \| good	33.827 \| good	0.589 \| good	1.502 \| good	0.13 \| good
2025-10-23T18:00:00.000Z	33 \| good	3.169 \| good	13.688 \| good	36.358 \| good	0.468 \| good	0.95 \| good	0.123 \| good
2025-10-23T19:00:00.000Z	34 \| good	2.887 \| good	12 \| good	37.4 \| good	0.478 \| good	0.962 \| good	0.123 \| good
2025-10-23T20:00:00.000Z	31 \| good	2.561 \| good	10.117 \| good	33.721 \| good	0.488 \| good	0.973 \| good	0.122 \| good
2025-10-23T21:00:00.000Z	29 \| good	1.891 \| good	8 \| good	31.298 \| good	0.497 \| good	0.984 \| good	0.122 \| good
2025-10-23T22:00:00.000Z	26 \| good	1.574 \| good	6.385 \| good	28.459 \| good	0.55 \| good	2.062 \| good	0.133 \| good
2025-10-23T23:00:00.000Z	21 \| good	0.505 \| good	2 \| good	22.989 \| good	0.603 \| good	3.139 \| good	0.143 \| good
2025-10-24T00:00:00.000Z	19 \| good	0.559 \| good	2.118 \| good	20.539 \| good	0.656 \| good	4.217 \| good	0.154 \| good
2025-10-24T01:00:00.000Z	14 \| good	2.007 \| good	8.319 \| good	14.829 \| good	0.721 \| good	4.755 \| good	0.159 \| good
2025-10-24T02:00:00.000Z	16 \| good	2.624 \| good	10.721 \| good	13.891 \| good	0.787 \| good	5.293 \| good	0.164 \| good
2025-10-24T03:00:00.000Z	14 \| good	2.306 \| good	9.516 \| good	14.686 \| good	0.852 \| good	5.831 \| good	0.169 \| good
2025-10-24T04:00:00.000Z	16 \| good	1.876 \| good	7.733 \| good	16.574 \| good	0.859 \| good	6.048 \| good	0.17 \| good
2025-10-24T05:00:00.000Z	15 \| good	1.876 \| good	7.802 \| good	15.785 \| good	0.866 \| good	6.264 \| good	0.171 \| good
2025-10-24T06:00:00.000Z	14 \| good	1.668 \| good	6.651 \| good	15.282 \| good	0.874 \| good	6.481 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	11 \| good	1.53 \| good	6.153 \| good	12.057 \| good	0.88 \| good	6.393 \| good	0.171 \| good
2025-10-24T08:00:00.000Z	10 \| good	1.288 \| good	5.264 \| good	11.316 \| good	0.886 \| good	6.304 \| good	0.169 \| good
2025-10-24T09:00:00.000Z	11 \| good	1.052 \| good	4.166 \| good	12.313 \| good	0.892 \| good	6.216 \| good	0.167 \| good
2025-10-24T10:00:00.000Z	13 \| good	0.873 \| good	3.422 \| good	13.752 \| good	0.929 \| good	6.608 \| good	0.17 \| good
2025-10-24T11:00:00.000Z	7 \| good	0.964 \| good	3.732 \| good	8.383 \| good	0.965 \| good	7 \| good	0.173 \| good
2025-10-24T12:00:00.000Z	7 \| good	1.491 \| good	5.965 \| good	6.594 \| good	1.002 \| good	7.393 \| good	0.176 \| good
2025-10-24T13:00:00.000Z	11 \| good	1.567 \| good	6.419 \| good	6.909 \| good	1.26 \| good	6.422 \| good	0.176 \| good
2025-10-24T14:00:00.000Z	13 \| good	0.742 \| good	2.881 \| good	14.018 \| good	1.517 \| good	5.452 \| good	0.175 \| good

Martinsville

Empower business decisions with accurate air quality data

Martinsville, Indiana air quality map: Real-time AQI near you

0.32ppm

How accurate is Indiana, USA air quality data?

Air quality measurements for Indiana, 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 Martinsville, Indiana updated?

Air quality data for Martinsville, Indiana is updated on an hourly basis.

When did Martinsville, Indiana experience the worst air quality in the last 24 hours?

The worst air quality in Martinsville, Indiana was recorded at 02:00:00 on 2025-10-21.

When did Martinsville, Indiana have its best air quality in the last 24 hours?

The best air quality in Martinsville, Indiana was recorded at 01:00:00 on 2025-10-22.

What is the real-time air quality index for Martinsville, Indiana?

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

Which pollutant is found most often in Martinsville, Indiana?

The most common pollutant in Martinsville, Indiana is PM2.5.

What can I do if the air quality in Martinsville, Indiana is poor?

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

What are the current PM_2.5 levels in Martinsville, Indiana?

The measured PM_2.5 levels in Martinsville, Indiana at present are 3.508 μg/m³.

What are the current PM₁₀ levels at Martinsville, Indiana?

The current PM₁₀ levels in Martinsville, Indiana are 20.884 μg/m³.

What are the current carbon monoxide (CO) levels at Martinsville, Indiana?

The current carbon monoxide (CO) level in Martinsville, Indiana is 0.242 ppm.

What are the current sulfur dioxide (SO₂) levels at Martinsville, Indiana?

The current sulfur dioxide (SO₂) levels in Martinsville, Indiana are 0.972 ppb.

What are the current ozone (O₃) levels at Martinsville, Indiana?

The current ozone (O₃) levels at Martinsville, Indiana is 20.612 ppm.

What are the current nitrogen dioxide (NO₂) levels at Martinsville, Indiana?

The current nitrogen dioxide (NO₂) levels at Martinsville, Indiana is 6.038 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T15:00:00.000Z	16 \| good	3.388 \| good	14.298 \| good	11.42 \| good	0.614 \| good	15.136 \| good	0.443 \| good
2025-10-20T16:00:00.000Z	27 \| good	4.917 \| good	17.672 \| good	10.413 \| good	0.977 \| good	14.066 \| good	0.333 \| good
2025-10-20T17:00:00.000Z	27 \| good	4.74 \| good	19.541 \| good	15.989 \| good	1.021 \| good	8.82 \| good	0.242 \| good
2025-10-20T18:00:00.000Z	22 \| good	4.091 \| good	17.391 \| good	21.822 \| good	0.747 \| good	6.667 \| good	0.21 \| good
2025-10-20T19:00:00.000Z	25 \| good	3.479 \| good	11.897 \| good	26.673 \| good	1.016 \| good	5.222 \| good	0.21 \| good
2025-10-20T20:00:00.000Z	27 \| good	3.101 \| good	13.321 \| good	29.176 \| good	0.962 \| good	5.015 \| good	0.21 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.811 \| good	10.177 \| good	32.056 \| good	0.783 \| good	5.704 \| good	0.223 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.55 \| good	11.008 \| good	33.321 \| good	0.664 \| good	4.716 \| good	0.21 \| good
2025-10-20T23:00:00.000Z	32 \| good	3.501 \| good	15.266 \| good	35.479 \| good	0.503 \| good	6.264 \| good	0.235 \| good
2025-10-21T00:00:00.000Z	28 \| good	2.587 \| good	9.572 \| good	30.43 \| good	0.52 \| good	6.349 \| good	0.235 \| good
2025-10-21T01:00:00.000Z	31 \| good	2.867 \| good	11.414 \| good	32.951 \| good	0.467 \| good	5.959 \| good	0.235 \| good
2025-10-21T02:00:00.000Z	30 \| good	3.103 \| good	11.368 \| good	31.569 \| good	0.502 \| good	7.023 \| good	0.235 \| good
2025-10-21T03:00:00.000Z	28 \| good	2.066 \| good	8.416 \| good	29.556 \| good	1.305 \| good	1.999 \| good	0.14 \| good
2025-10-21T04:00:00.000Z	31 \| good	2.954 \| good	12.756 \| good	33.999 \| good	0.84 \| good	5.494 \| good	0.223 \| good
2025-10-21T05:00:00.000Z	29 \| good	3.293 \| good	15.269 \| good	30.988 \| good	0.482 \| good	6.046 \| good	0.223 \| good
2025-10-21T06:00:00.000Z	29 \| good	3.143 \| good	14.747 \| good	30.538 \| good	0.575 \| good	6.703 \| good	0.197 \| good
2025-10-21T07:00:00.000Z	27 \| good	3.35 \| good	12.982 \| good	29.46 \| good	0.589 \| good	4.799 \| good	0.21 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.007 \| good	15.786 \| good	29.341 \| good	0.52 \| good	5.746 \| good	0.21 \| good
2025-10-21T09:00:00.000Z	25 \| good	3.991 \| good	16.529 \| good	27.19 \| good	0.512 \| good	7.602 \| good	0.223 \| good
2025-10-21T10:00:00.000Z	24 \| good	3.999 \| good	14.09 \| good	26.133 \| good	0.923 \| good	9.669 \| good	0.223 \| good
2025-10-21T11:00:00.000Z	23 \| good	4.243 \| good	13.644 \| good	25.103 \| good	0.719 \| good	9.528 \| good	0.223 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.439 \| good	17.75 \| good	24.178 \| good	0.75 \| good	10.751 \| good	0.298 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.445 \| good	19.211 \| good	23.384 \| good	0.751 \| good	13.051 \| good	0.44 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.031 \| good	29.499 \| good	22.051 \| good	0.444 \| good	14.564 \| good	0.443 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.121 \| good	17.718 \| good	21.688 \| good	0.526 \| good	11.202 \| good	0.319 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.054 \| good	19.883 \| good	21.412 \| good	0.48 \| good	6.515 \| good	0.197 \| good
2025-10-21T17:00:00.000Z	27 \| good	4.542 \| good	19.691 \| good	28.662 \| good	0.608 \| good	4.02 \| good	0.235 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.935 \| good	16.538 \| good	30.619 \| good	0.602 \| good	3.254 \| good	0.21 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.426 \| good	16.331 \| good	32.883 \| good	0.522 \| good	2.709 \| good	0.21 \| good
2025-10-21T20:00:00.000Z	32 \| good	3.118 \| good	15.266 \| good	35.286 \| good	0.989 \| good	4.507 \| good	0.242 \| good
2025-10-21T21:00:00.000Z	31 \| good	2.937 \| good	14.225 \| good	33.443 \| good	0.496 \| good	5.339 \| good	0.23 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.951 \| good	15.903 \| good	33.622 \| good	0.402 \| good	5.37 \| good	0.23 \| good
2025-10-21T23:00:00.000Z	31 \| good	2.944 \| good	12.994 \| good	34.375 \| good	1.068 \| good	5.324 \| good	0.242 \| good
2025-10-22T00:00:00.000Z	29 \| good	2.833 \| good	12.408 \| good	30.72 \| good	1.01 \| good	6.049 \| good	0.242 \| good
2025-10-22T01:00:00.000Z	30 \| good	2.854 \| good	11.49 \| good	32.224 \| good	0.458 \| good	5.509 \| good	0.246 \| good
2025-10-22T02:00:00.000Z	28 \| good	3.007 \| good	13.241 \| good	30.126 \| good	0.762 \| good	6.123 \| good	0.23 \| good
2025-10-22T03:00:00.000Z	20 \| good	0.337 \| good	1 \| good	21.599 \| good	0.504 \| good	1.748 \| good	0.127 \| good
2025-10-22T04:00:00.000Z	27 \| good	2.759 \| good	12.017 \| good	28.603 \| good	1.262 \| good	4.462 \| good	0.242 \| good
2025-10-22T05:00:00.000Z	24 \| good	2.821 \| good	13.096 \| good	25.841 \| good	2.1 \| good	4.22 \| good	0.21 \| good
2025-10-22T06:00:00.000Z	23 \| good	2.855 \| good	14.88 \| good	25.214 \| good	1.556 \| good	3.116 \| good	0.197 \| good
2025-10-22T07:00:00.000Z	21 \| good	3.148 \| good	14.97 \| good	23.368 \| good	2.067 \| good	2.912 \| good	0.21 \| good
2025-10-22T08:00:00.000Z	23 \| good	3.023 \| good	14.124 \| good	25.053 \| good	1.664 \| good	3.699 \| good	0.197 \| good
2025-10-22T09:00:00.000Z	21 \| good	3.199 \| good	12.294 \| good	23.038 \| good	1.662 \| good	5.069 \| good	0.21 \| good
2025-10-22T10:00:00.000Z	19 \| good	2.761 \| good	12.66 \| good	21.039 \| good	1.031 \| good	7.473 \| good	0.223 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.826 \| good	12.441 \| good	20.452 \| good	0.941 \| good	7.642 \| good	0.255 \| good
2025-10-22T12:00:00.000Z	19 \| good	3.082 \| good	14.276 \| good	20.384 \| good	0.765 \| good	7.327 \| good	0.265 \| good
2025-10-22T13:00:00.000Z	19 \| good	3.324 \| good	13.511 \| good	20.534 \| good	0.715 \| good	7.096 \| good	0.311 \| good
2025-10-22T14:00:00.000Z	22 \| good	3.508 \| good	20.884 \| good	20.612 \| good	0.972 \| good	6.038 \| good	0.242 \| good
2025-10-22T14:00:00.000Z	22 \| good	3.508 \| good	20.884 \| good	20.612 \| good	0.972 \| good	6.038 \| good	0.242 \| good
2025-10-22T15:00:00.000Z	18 \| good	2.367 \| good	9.96 \| good	18.68 \| good	0.361 \| good	1.353 \| good	0.139 \| good
2025-10-22T16:00:00.000Z	23 \| good	3.199 \| good	13.736 \| good	24.544 \| good	0.319 \| good	1.173 \| good	0.134 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.805 \| good	16.631 \| good	28.923 \| good	0.277 \| good	0.994 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	30 \| good	3.653 \| good	16 \| good	31.927 \| good	0.236 \| good	0.815 \| good	0.124 \| good
2025-10-22T19:00:00.000Z	31 \| good	3.232 \| good	14.385 \| good	33.428 \| good	0.257 \| good	0.808 \| good	0.124 \| good
2025-10-22T20:00:00.000Z	31 \| good	2.821 \| good	11.658 \| good	33.49 \| good	0.279 \| good	0.801 \| good	0.123 \| good
2025-10-22T21:00:00.000Z	30 \| good	1.987 \| good	8.087 \| good	31.588 \| good	0.301 \| good	0.794 \| good	0.122 \| good
2025-10-22T22:00:00.000Z	27 \| good	1.615 \| good	6.532 \| good	28.749 \| good	0.371 \| good	1.349 \| good	0.127 \| good
2025-10-22T23:00:00.000Z	22 \| good	1.505 \| good	5.94 \| good	24.483 \| good	0.44 \| good	1.904 \| good	0.131 \| good
2025-10-23T00:00:00.000Z	22 \| good	1.075 \| good	4.365 \| good	24.359 \| good	0.51 \| good	2.46 \| good	0.136 \| good
2025-10-23T01:00:00.000Z	19 \| good	1.431 \| good	5.765 \| good	19.744 \| good	0.557 \| good	2.791 \| good	0.139 \| good
2025-10-23T02:00:00.000Z	15 \| good	2.146 \| good	8.873 \| good	16.495 \| good	0.603 \| good	3.123 \| good	0.142 \| good
2025-10-23T03:00:00.000Z	15 \| good	2.171 \| good	8.727 \| good	15.527 \| good	0.649 \| good	3.454 \| good	0.145 \| good
2025-10-23T04:00:00.000Z	14 \| good	1.991 \| good	8.247 \| good	15.242 \| good	0.638 \| good	3.417 \| good	0.144 \| good
2025-10-23T05:00:00.000Z	14 \| good	2.435 \| good	10 \| good	14.995 \| good	0.628 \| good	3.379 \| good	0.143 \| good
2025-10-23T06:00:00.000Z	16 \| good	2.638 \| good	10.722 \| good	12.401 \| good	0.617 \| good	3.342 \| good	0.142 \| good
2025-10-23T07:00:00.000Z	11 \| good	2.343 \| good	9.518 \| good	11.934 \| good	0.623 \| good	3.328 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	11 \| good	1.863 \| good	7.565 \| good	10.863 \| good	0.629 \| good	3.314 \| good	0.14 \| good
2025-10-23T09:00:00.000Z	11 \| good	2.266 \| good	9.211 \| good	9.908 \| good	0.635 \| good	3.3 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	11 \| good	2.127 \| good	8.738 \| good	8.985 \| good	0.658 \| good	3.605 \| good	0.142 \| good
2025-10-23T11:00:00.000Z	11 \| good	2.206 \| good	9.049 \| good	5.539 \| good	0.681 \| good	3.911 \| good	0.144 \| good
2025-10-23T12:00:00.000Z	16 \| good	3.306 \| good	14.028 \| good	5.819 \| good	0.704 \| good	4.217 \| good	0.146 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.214 \| good	13.631 \| good	6.479 \| good	0.746 \| good	3.68 \| good	0.145 \| good
2025-10-23T14:00:00.000Z	16 \| good	3.143 \| good	13.123 \| good	13.09 \| good	0.789 \| good	3.142 \| good	0.145 \| good
2025-10-23T15:00:00.000Z	21 \| good	2.552 \| good	10.116 \| good	22.707 \| good	0.831 \| good	2.604 \| good	0.145 \| good
2025-10-23T16:00:00.000Z	28 \| good	3.115 \| good	13.263 \| good	30.489 \| good	0.71 \| good	2.053 \| good	0.137 \| good
2025-10-23T17:00:00.000Z	31 \| good	3.25 \| good	14.275 \| good	33.827 \| good	0.589 \| good	1.502 \| good	0.13 \| good
2025-10-23T18:00:00.000Z	33 \| good	3.169 \| good	13.688 \| good	36.358 \| good	0.468 \| good	0.95 \| good	0.123 \| good
2025-10-23T19:00:00.000Z	34 \| good	2.887 \| good	12 \| good	37.4 \| good	0.478 \| good	0.962 \| good	0.123 \| good
2025-10-23T20:00:00.000Z	31 \| good	2.561 \| good	10.117 \| good	33.721 \| good	0.488 \| good	0.973 \| good	0.122 \| good
2025-10-23T21:00:00.000Z	29 \| good	1.891 \| good	8 \| good	31.298 \| good	0.497 \| good	0.984 \| good	0.122 \| good
2025-10-23T22:00:00.000Z	26 \| good	1.574 \| good	6.385 \| good	28.459 \| good	0.55 \| good	2.062 \| good	0.133 \| good
2025-10-23T23:00:00.000Z	21 \| good	0.505 \| good	2 \| good	22.989 \| good	0.603 \| good	3.139 \| good	0.143 \| good
2025-10-24T00:00:00.000Z	19 \| good	0.559 \| good	2.118 \| good	20.539 \| good	0.656 \| good	4.217 \| good	0.154 \| good
2025-10-24T01:00:00.000Z	14 \| good	2.007 \| good	8.319 \| good	14.829 \| good	0.721 \| good	4.755 \| good	0.159 \| good
2025-10-24T02:00:00.000Z	16 \| good	2.624 \| good	10.721 \| good	13.891 \| good	0.787 \| good	5.293 \| good	0.164 \| good
2025-10-24T03:00:00.000Z	14 \| good	2.306 \| good	9.516 \| good	14.686 \| good	0.852 \| good	5.831 \| good	0.169 \| good
2025-10-24T04:00:00.000Z	16 \| good	1.876 \| good	7.733 \| good	16.574 \| good	0.859 \| good	6.048 \| good	0.17 \| good
2025-10-24T05:00:00.000Z	15 \| good	1.876 \| good	7.802 \| good	15.785 \| good	0.866 \| good	6.264 \| good	0.171 \| good
2025-10-24T06:00:00.000Z	14 \| good	1.668 \| good	6.651 \| good	15.282 \| good	0.874 \| good	6.481 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	11 \| good	1.53 \| good	6.153 \| good	12.057 \| good	0.88 \| good	6.393 \| good	0.171 \| good
2025-10-24T08:00:00.000Z	10 \| good	1.288 \| good	5.264 \| good	11.316 \| good	0.886 \| good	6.304 \| good	0.169 \| good
2025-10-24T09:00:00.000Z	11 \| good	1.052 \| good	4.166 \| good	12.313 \| good	0.892 \| good	6.216 \| good	0.167 \| good
2025-10-24T10:00:00.000Z	13 \| good	0.873 \| good	3.422 \| good	13.752 \| good	0.929 \| good	6.608 \| good	0.17 \| good
2025-10-24T11:00:00.000Z	7 \| good	0.964 \| good	3.732 \| good	8.383 \| good	0.965 \| good	7 \| good	0.173 \| good
2025-10-24T12:00:00.000Z	7 \| good	1.491 \| good	5.965 \| good	6.594 \| good	1.002 \| good	7.393 \| good	0.176 \| good
2025-10-24T13:00:00.000Z	11 \| good	1.567 \| good	6.419 \| good	6.909 \| good	1.26 \| good	6.422 \| good	0.176 \| good
2025-10-24T14:00:00.000Z	13 \| good	0.742 \| good	2.881 \| good	14.018 \| good	1.517 \| good	5.452 \| good	0.175 \| good

Real-time air quality index in Martinsville, Indiana today

Common air pollutants in Martinsville, Indiana

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Martinsville, Indiana air quality forecast and history

Empower business decisions with accurate air quality data

Martinsville, Indiana air quality map: Real-time AQI near you

Air quality in nearby cities

Bargersville, Indiana

Bloomington, Indiana

Plainfield, Indiana

Franklin, Indiana

Greenwood, Indiana

Avon, Indiana

How accurate is Indiana, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Martinsville, Indiana updated?

When did Martinsville, Indiana experience the worst air quality in the last 24 hours?

When did Martinsville, Indiana have its best air quality in the last 24 hours?

What is the real-time air quality index for Martinsville, Indiana?

Which pollutant is found most often in Martinsville, Indiana?

What can I do if the air quality in Martinsville, Indiana is poor?

What are the current PM2.5 levels in Martinsville, Indiana?

What are the current PM10 levels at Martinsville, Indiana?

What are the current carbon monoxide (CO) levels at Martinsville, Indiana?

What are the current sulfur dioxide (SO2) levels at Martinsville, Indiana?

What are the current ozone (O3) levels at Martinsville, Indiana?

What are the current nitrogen dioxide (NO2) levels at Martinsville, Indiana?

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 Martinsville, Indiana?

What are the current PM₁₀ levels at Martinsville, Indiana?

What are the current sulfur dioxide (SO₂) levels at Martinsville, Indiana?

What are the current ozone (O₃) levels at Martinsville, Indiana?

What are the current nitrogen dioxide (NO₂) levels at Martinsville, Indiana?