What are the current PM10 levels at New Baltimore, Michigan?

The current PM10 levels in New Baltimore, Michigan are 28.896 μg/m3.

What are the current sulfur dioxide (SO2) levels at New Baltimore, Michigan?

The current sulfur dioxide (SO2) levels in New Baltimore, Michigan are 0.708 ppb.

What are the current ozone (O3) levels at New Baltimore, Michigan?

The current ozone (O3) levels at New Baltimore, Michigan is 46.341 ppm.

What are the current nitrogen dioxide (NO2) levels at New Baltimore, Michigan?

The current nitrogen dioxide (NO2) levels at New Baltimore, Michigan is 2.232 ppb.

Real-time air quality index in New Baltimore, Michigan today

Q: What are the current PM2.5 levels in New Baltimore, Michigan?

The measured PM2.5 levels in New Baltimore, Michigan at present are 6.493 μg/m3.

Stay updated with real-time air quality in New Baltimore, Michigan 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

New Baltimore, Michigan

Last updated: ... (Local time)

Common air pollutants in New Baltimore, Michigan

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.49 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

28.90 μg/m³

155

255

425

605+

Ozone (O₃)

46.34 ppb

201

201+

Sulfur Dioxide (SO₂)

0.71 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.23 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

New Baltimore, Michigan

Get Live Pollen Counts

New Baltimore, Michigan

Scroll To Air Quality Map

Track live New Baltimore, Michigan air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-20T22:00:00.000Z	38 \| good	3.906 \| good	17.021 \| good	41.012 \| good	0.63 \| good	2.57 \| good	0.22 \| good
2026-10-20T23:00:00.000Z	31 \| good	4.204 \| good	19.006 \| good	33.077 \| good	0.504 \| good	3.816 \| good	0.287 \| good
2026-10-21T00:00:00.000Z	31 \| good	4.412 \| good	19.038 \| good	32.991 \| good	0.426 \| good	11.627 \| good	0.353 \| good
2026-10-21T01:00:00.000Z	28 \| good	5.221 \| good	23.059 \| good	29.98 \| good	0.405 \| good	19.168 \| good	0.432 \| good
2026-10-21T02:00:00.000Z	38 \| good	7.314 \| good	32.068 \| good	19.062 \| good	0.444 \| good	24.094 \| good	0.444 \| good
2026-10-21T03:00:00.000Z	56 \| moderate	12.386 \| fine	55.873 \| fine	12.3 \| good	1.411 \| good	16.859 \| good	0.244 \| good
2026-10-21T04:00:00.000Z	44 \| good	8.033 \| good	35.105 \| good	13.963 \| good	0.542 \| good	11.05 \| good	0.472 \| good
2026-10-21T05:00:00.000Z	44 \| good	8.354 \| good	37.253 \| good	8.016 \| good	0.376 \| good	8.776 \| good	0.59 \| good
2026-10-21T06:00:00.000Z	44 \| good	7.67 \| good	34.288 \| good	8.028 \| good	0.457 \| good	5.864 \| good	0.484 \| good
2026-10-21T07:00:00.000Z	38 \| good	7.45 \| good	33.197 \| good	2.077 \| good	0.525 \| good	7.167 \| good	0.58 \| good
2026-10-21T08:00:00.000Z	38 \| good	7.247 \| good	32.194 \| good	1.094 \| good	0.747 \| good	8.78 \| good	0.537 \| good
2026-10-21T09:00:00.000Z	38 \| good	6.548 \| good	29.196 \| good	4.061 \| good	0.688 \| good	8.273 \| good	0.546 \| good
2026-10-21T10:00:00.000Z	33 \| good	6.031 \| good	27.061 \| good	3.062 \| good	0.802 \| good	9.451 \| good	0.547 \| good
2026-10-21T11:00:00.000Z	33 \| good	6.127 \| good	27.005 \| good	2.048 \| good	0.56 \| good	10.217 \| good	0.523 \| good
2026-10-21T12:00:00.000Z	38 \| good	7.425 \| good	33.108 \| good	5.021 \| good	0.916 \| good	14.701 \| good	0.576 \| good
2026-10-21T13:00:00.000Z	38 \| good	7.424 \| good	33.056 \| good	5.015 \| good	0.72 \| good	14.69 \| good	0.584 \| good
2026-10-21T14:00:00.000Z	44 \| good	7.827 \| good	34.097 \| good	11.009 \| good	0.484 \| good	14.38 \| good	0.561 \| good
2026-10-21T15:00:00.000Z	33 \| good	6.221 \| good	28.057 \| good	16.993 \| good	0.552 \| good	12.855 \| good	0.626 \| good
2026-10-21T16:00:00.000Z	27 \| good	4.634 \| good	20.096 \| good	21.963 \| good	1.454 \| good	8.451 \| good	0.488 \| good
2026-10-21T17:00:00.000Z	22 \| good	3.609 \| good	16.018 \| good	24.005 \| good	2.078 \| good	2.976 \| good	0.397 \| good
2026-10-21T18:00:00.000Z	29 \| good	3.111 \| good	14.037 \| good	30.986 \| good	0.287 \| good	5.089 \| good	0.275 \| good
2026-10-21T19:00:00.000Z	32 \| good	2.809 \| good	12.034 \| good	34.988 \| good	0.34 \| good	3.706 \| good	0.264 \| good
2026-10-21T20:00:00.000Z	32 \| good	2.812 \| good	12.039 \| good	34.987 \| good	0.34 \| good	3.715 \| good	0.276 \| good
2026-10-21T21:00:00.000Z	32 \| good	2.817 \| good	12.033 \| good	34.984 \| good	0.338 \| good	1.463 \| good	0.292 \| good
2026-10-21T22:00:00.000Z	31 \| good	2.812 \| good	12.045 \| good	32.989 \| good	0.4 \| good	1.551 \| good	0.28 \| good
2026-10-21T23:00:00.000Z	26 \| good	2.923 \| good	12.11 \| good	28.001 \| good	0.36 \| good	3.564 \| good	0.299 \| good
2026-10-22T00:00:00.000Z	22 \| good	3.726 \| good	16.124 \| good	19.037 \| good	0.478 \| good	11.807 \| good	0.319 \| good
2026-10-22T01:00:00.000Z	22 \| good	4.035 \| good	18.12 \| good	19.006 \| good	0.469 \| good	17.383 \| good	0.386 \| good
2026-10-22T02:00:00.000Z	27 \| good	4.939 \| good	21.128 \| good	14.005 \| good	0.454 \| good	18.37 \| good	0.407 \| good
2026-10-22T03:00:00.000Z	38 \| good	7.422 \| good	32.827 \| good	4.94 \| good	2.673 \| good	27.785 \| good	0.382 \| good
2026-10-22T04:00:00.000Z	33 \| good	5.937 \| good	27.135 \| good	8.965 \| good	0.65 \| good	15.43 \| good	0.396 \| good
2026-10-22T05:00:00.000Z	33 \| good	6.051 \| good	27.219 \| good	4.992 \| good	0.617 \| good	19.422 \| good	0.393 \| good
2026-10-22T06:00:00.000Z	33 \| good	6.455 \| good	29.148 \| good	4.992 \| good	0.585 \| good	21.309 \| good	0.48 \| good
2026-10-22T07:00:00.000Z	38 \| good	7 \| good	31.221 \| good	3.988 \| good	0.833 \| good	20.884 \| good	0.483 \| good
2026-10-22T08:00:00.000Z	54 \| moderate	11.359 \| good	52.713 \| good	3.546 \| good	0.752 \| good	18.306 \| good	0.496 \| good
2026-10-22T09:00:00.000Z	49 \| good	9.096 \| good	41.248 \| good	2.201 \| good	0.81 \| good	21.109 \| good	0.494 \| good
2026-10-22T10:00:00.000Z	49 \| good	8.538 \| good	37.162 \| good	3.214 \| good	0.781 \| good	15.107 \| good	0.528 \| good
2026-10-22T11:00:00.000Z	44 \| good	8.145 \| good	36.173 \| good	1.017 \| good	0.724 \| good	13.145 \| good	0.649 \| good
2026-10-22T12:00:00.000Z	44 \| good	8.448 \| good	37.197 \| good	3.999 \| good	0.569 \| good	14.381 \| good	0.668 \| good
2026-10-22T13:00:00.000Z	52 \| moderate	9.858 \| good	44.259 \| good	5.026 \| good	0.702 \| good	14.843 \| good	0.785 \| good
2026-10-22T14:00:00.000Z	58 \| moderate	12.829 \| fine	57.092 \| fine	17.921 \| good	0.769 \| good	15.313 \| good	0.906 \| good
2026-10-22T15:00:00.000Z	54 \| moderate	11.424 \| good	51.196 \| good	22.994 \| good	0.631 \| good	12.828 \| good	0.568 \| good
2026-10-22T16:00:00.000Z	52 \| moderate	9.919 \| good	44.085 \| good	32.94 \| good	0.649 \| good	14.166 \| good	0.505 \| good
2026-10-22T17:00:00.000Z	44 \| good	8.202 \| good	36.081 \| good	35.999 \| good	0.714 \| good	8.214 \| good	0.367 \| good
2026-10-22T18:00:00.000Z	39 \| good	6.804 \| good	30.022 \| good	41.988 \| good	0.617 \| good	3.637 \| good	0.295 \| good
2026-10-22T19:00:00.000Z	43 \| good	6.402 \| good	28.984 \| good	46.02 \| good	0.804 \| good	2.532 \| good	0.251 \| good
2026-10-22T20:00:00.000Z	44 \| good	6.497 \| good	28.992 \| good	47.038 \| good	0.825 \| good	2.264 \| good	0.22 \| good
2026-10-22T21:00:00.000Z	43 \| good	6.499 \| good	28.985 \| good	46.048 \| good	0.71 \| good	2.079 \| good	0.22 \| good
2026-10-22T21:00:00.000Z	43 \| good	6.493 \| good	28.896 \| good	46.341 \| good	0.708 \| good	2.232 \| good	0.221 \| good
2026-10-22T22:00:00.000Z	33 \| good	5.678 \| good	24.748 \| good	35.663 \| good	0.78 \| good	2.766 \| good	0.19 \| good
2026-10-22T23:00:00.000Z	44 \| good	8.269 \| good	36.262 \| good	29.461 \| good	0.735 \| good	4.909 \| good	0.207 \| good
2026-10-23T00:00:00.000Z	54 \| moderate	11.302 \| good	49.721 \| good	24.9 \| good	0.664 \| good	5.369 \| good	0.208 \| good
2026-10-23T01:00:00.000Z	56 \| moderate	11.941 \| good	52.89 \| good	22.225 \| good	0.575 \| good	5.307 \| good	0.203 \| good
2026-10-23T02:00:00.000Z	52 \| moderate	9.524 \| good	42.698 \| good	18.762 \| good	0.48 \| good	5.321 \| good	0.197 \| good
2026-10-23T03:00:00.000Z	33 \| good	5.674 \| good	24.496 \| good	13.074 \| good	0.392 \| good	5.509 \| good	0.192 \| good
2026-10-23T04:00:00.000Z	38 \| good	6.804 \| good	30.227 \| good	13.013 \| good	0.312 \| good	5.241 \| good	0.187 \| good
2026-10-23T05:00:00.000Z	33 \| good	6.481 \| good	28.722 \| good	11.555 \| good	0.235 \| good	4.181 \| good	0.18 \| good
2026-10-23T06:00:00.000Z	38 \| good	6.516 \| good	28.983 \| good	11.873 \| good	0.188 \| good	3.557 \| good	0.174 \| good
2026-10-23T07:00:00.000Z	33 \| good	6.024 \| good	26.713 \| good	11.105 \| good	0.168 \| good	3.352 \| good	0.17 \| good
2026-10-23T08:00:00.000Z	33 \| good	6.368 \| good	28.339 \| good	8.693 \| good	0.165 \| good	3.509 \| good	0.171 \| good
2026-10-23T09:00:00.000Z	49 \| good	8.693 \| good	38.234 \| good	2.322 \| good	0.18 \| good	3.782 \| good	0.173 \| good
2026-10-23T10:00:00.000Z	56 \| moderate	11.742 \| good	52.203 \| good	4.386 \| good	0.214 \| good	4.174 \| good	0.177 \| good
2026-10-23T11:00:00.000Z	58 \| moderate	13.419 \| fine	60.085 \| fine	3.865 \| good	0.266 \| good	5.057 \| good	0.184 \| good
2026-10-23T12:00:00.000Z	66 \| moderate	17.121 \| fine	75.601 \| fine	3.706 \| good	0.359 \| good	7.482 \| good	0.2 \| good
2026-10-23T13:00:00.000Z	49 \| good	8.94 \| good	39.929 \| good	7.55 \| good	0.487 \| good	7.693 \| good	0.219 \| good
2026-10-23T14:00:00.000Z	19 \| good	3.334 \| good	14.42 \| good	20.624 \| good	0.758 \| good	5.519 \| good	0.201 \| good
2026-10-23T15:00:00.000Z	27 \| good	2.138 \| good	8.567 \| good	29.439 \| good	1.088 \| good	4.732 \| good	0.191 \| good
2026-10-23T16:00:00.000Z	33 \| good	1.884 \| good	7.846 \| good	35.891 \| good	1.693 \| good	4.204 \| good	0.178 \| good
2026-10-23T17:00:00.000Z	34 \| good	2.166 \| good	8.878 \| good	36.501 \| good	2.028 \| good	3.935 \| good	0.174 \| good
2026-10-23T18:00:00.000Z	36 \| good	2.817 \| good	11.744 \| good	38.597 \| good	2.138 \| good	3.966 \| good	0.174 \| good
2026-10-23T19:00:00.000Z	35 \| good	2.166 \| good	8.714 \| good	38.436 \| good	2.154 \| good	4.061 \| good	0.175 \| good
2026-10-23T20:00:00.000Z	35 \| good	1.314 \| good	5.334 \| good	38.061 \| good	2.099 \| good	4.13 \| good	0.174 \| good
2026-10-23T21:00:00.000Z	35 \| good	1.025 \| good	4.099 \| good	37.792 \| good	2.027 \| good	4.466 \| good	0.175 \| good
2026-10-23T22:00:00.000Z	29 \| good	3.034 \| good	12.725 \| good	30.879 \| good	1.747 \| good	6.998 \| good	0.194 \| good
2026-10-23T23:00:00.000Z	22 \| good	4.414 \| good	19.024 \| good	20.141 \| good	1.732 \| good	14.222 \| good	0.252 \| good
2026-10-24T00:00:00.000Z	33 \| good	5.915 \| good	25.757 \| good	18.577 \| good	1.541 \| good	17.042 \| good	0.271 \| good
2026-10-24T01:00:00.000Z	33 \| good	6.432 \| good	28.79 \| good	19.254 \| good	1.182 \| good	13.973 \| good	0.239 \| good
2026-10-24T02:00:00.000Z	33 \| good	6.493 \| good	29.003 \| good	15.446 \| good	0.76 \| good	10.363 \| good	0.21 \| good
2026-10-24T03:00:00.000Z	33 \| good	6.275 \| good	27.953 \| good	11.759 \| good	0.465 \| good	7.784 \| good	0.189 \| good
2026-10-24T04:00:00.000Z	27 \| good	5.385 \| good	23.074 \| good	6.633 \| good	0.369 \| good	6.149 \| good	0.179 \| good
2026-10-24T05:00:00.000Z	33 \| good	6.331 \| good	28.132 \| good	5.854 \| good	0.403 \| good	4.991 \| good	0.176 \| good
2026-10-24T06:00:00.000Z	44 \| good	7.694 \| good	34.149 \| good	5.731 \| good	0.501 \| good	4.897 \| good	0.178 \| good
2026-10-24T07:00:00.000Z	38 \| good	7.416 \| good	32.588 \| good	5.743 \| good	0.607 \| good	5.354 \| good	0.184 \| good
2026-10-24T08:00:00.000Z	33 \| good	6.468 \| good	28.932 \| good	5.479 \| good	0.699 \| good	6.056 \| good	0.19 \| good
2026-10-24T09:00:00.000Z	33 \| good	5.97 \| good	25.975 \| good	5.415 \| good	0.766 \| good	6.877 \| good	0.197 \| good
2026-10-24T10:00:00.000Z	33 \| good	6.281 \| good	27.844 \| good	4.801 \| good	0.792 \| good	7.576 \| good	0.204 \| good
2026-10-24T11:00:00.000Z	38 \| good	7.465 \| good	32.688 \| good	4.704 \| good	0.819 \| good	8.399 \| good	0.211 \| good
2026-10-24T12:00:00.000Z	54 \| moderate	11.296 \| good	50.045 \| good	1.817 \| good	0.878 \| good	10.142 \| good	0.224 \| good
2026-10-24T13:00:00.000Z	38 \| good	7.301 \| good	32.29 \| good	6.518 \| good	0.909 \| good	9.945 \| good	0.244 \| good
2026-10-24T14:00:00.000Z	27 \| good	4.704 \| good	20.529 \| good	17.849 \| good	0.838 \| good	7.175 \| good	0.23 \| good
2026-10-24T15:00:00.000Z	24 \| good	2.884 \| good	12.407 \| good	26.029 \| good	0.893 \| good	6.032 \| good	0.215 \| good
2026-10-24T16:00:00.000Z	29 \| good	1.1 \| good	4.181 \| good	31.435 \| good	1.354 \| good	4.884 \| good	0.185 \| good
2026-10-24T17:00:00.000Z	31 \| good	1.129 \| good	4.63 \| good	34.396 \| good	1.829 \| good	3.885 \| good	0.163 \| good
2026-10-24T18:00:00.000Z	35 \| good	2.351 \| good	9.556 \| good	37.771 \| good	1.88 \| good	3.684 \| good	0.159 \| good
2026-10-24T19:00:00.000Z	38 \| good	1.92 \| good	7.832 \| good	40.826 \| good	1.806 \| good	3.6 \| good	0.157 \| good
2026-10-24T20:00:00.000Z	41 \| good	3.41 \| good	14.719 \| good	44.101 \| good	1.676 \| good	3.607 \| good	0.157 \| good
2026-10-24T21:00:00.000Z	41 \| good	5.983 \| good	26.52 \| good	43.984 \| good	1.56 \| good	3.85 \| good	0.158 \| good

New Baltimore

Empower business decisions with accurate air quality data

New Baltimore, Michigan air quality map: Real-time AQI near you

0.22ppm

How accurate is Michigan, USA air quality data?

Air quality measurements for Michigan, 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 New Baltimore, Michigan updated?

Air quality data for New Baltimore, Michigan is updated on an hourly basis.

When did New Baltimore, Michigan experience the worst air quality in the last 24 hours?

The worst air quality in New Baltimore, Michigan was recorded at 02:00:00 on 2026-10-22.

When did New Baltimore, Michigan have its best air quality in the last 24 hours?

The best air quality in New Baltimore, Michigan was recorded at 01:00:00 on 2026-10-22.

What is the real-time air quality index for New Baltimore, Michigan?

The real-time air quality index in New Baltimore, Michigan is 43, currently categorized as Good.

Which pollutant is found most often in New Baltimore, Michigan?

The most common pollutant in New Baltimore, Michigan is O3.

What can I do if the air quality in New Baltimore, Michigan is poor?

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

What are the current PM_2.5 levels in New Baltimore, Michigan?

The measured PM_2.5 levels in New Baltimore, Michigan at present are 6.493 μg/m³.

What are the current PM₁₀ levels at New Baltimore, Michigan?

The current PM₁₀ levels in New Baltimore, Michigan are 28.896 μg/m³.

What are the current carbon monoxide (CO) levels at New Baltimore, Michigan?

The current carbon monoxide (CO) level in New Baltimore, Michigan is 0.221 ppm.

What are the current sulfur dioxide (SO₂) levels at New Baltimore, Michigan?

The current sulfur dioxide (SO₂) levels in New Baltimore, Michigan are 0.708 ppb.

What are the current ozone (O₃) levels at New Baltimore, Michigan?

The current ozone (O₃) levels at New Baltimore, Michigan is 46.341 ppm.

What are the current nitrogen dioxide (NO₂) levels at New Baltimore, Michigan?

The current nitrogen dioxide (NO₂) levels at New Baltimore, Michigan is 2.232 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-20T22:00:00.000Z	38 \| good	3.906 \| good	17.021 \| good	41.012 \| good	0.63 \| good	2.57 \| good	0.22 \| good
2026-10-20T23:00:00.000Z	31 \| good	4.204 \| good	19.006 \| good	33.077 \| good	0.504 \| good	3.816 \| good	0.287 \| good
2026-10-21T00:00:00.000Z	31 \| good	4.412 \| good	19.038 \| good	32.991 \| good	0.426 \| good	11.627 \| good	0.353 \| good
2026-10-21T01:00:00.000Z	28 \| good	5.221 \| good	23.059 \| good	29.98 \| good	0.405 \| good	19.168 \| good	0.432 \| good
2026-10-21T02:00:00.000Z	38 \| good	7.314 \| good	32.068 \| good	19.062 \| good	0.444 \| good	24.094 \| good	0.444 \| good
2026-10-21T03:00:00.000Z	56 \| moderate	12.386 \| fine	55.873 \| fine	12.3 \| good	1.411 \| good	16.859 \| good	0.244 \| good
2026-10-21T04:00:00.000Z	44 \| good	8.033 \| good	35.105 \| good	13.963 \| good	0.542 \| good	11.05 \| good	0.472 \| good
2026-10-21T05:00:00.000Z	44 \| good	8.354 \| good	37.253 \| good	8.016 \| good	0.376 \| good	8.776 \| good	0.59 \| good
2026-10-21T06:00:00.000Z	44 \| good	7.67 \| good	34.288 \| good	8.028 \| good	0.457 \| good	5.864 \| good	0.484 \| good
2026-10-21T07:00:00.000Z	38 \| good	7.45 \| good	33.197 \| good	2.077 \| good	0.525 \| good	7.167 \| good	0.58 \| good
2026-10-21T08:00:00.000Z	38 \| good	7.247 \| good	32.194 \| good	1.094 \| good	0.747 \| good	8.78 \| good	0.537 \| good
2026-10-21T09:00:00.000Z	38 \| good	6.548 \| good	29.196 \| good	4.061 \| good	0.688 \| good	8.273 \| good	0.546 \| good
2026-10-21T10:00:00.000Z	33 \| good	6.031 \| good	27.061 \| good	3.062 \| good	0.802 \| good	9.451 \| good	0.547 \| good
2026-10-21T11:00:00.000Z	33 \| good	6.127 \| good	27.005 \| good	2.048 \| good	0.56 \| good	10.217 \| good	0.523 \| good
2026-10-21T12:00:00.000Z	38 \| good	7.425 \| good	33.108 \| good	5.021 \| good	0.916 \| good	14.701 \| good	0.576 \| good
2026-10-21T13:00:00.000Z	38 \| good	7.424 \| good	33.056 \| good	5.015 \| good	0.72 \| good	14.69 \| good	0.584 \| good
2026-10-21T14:00:00.000Z	44 \| good	7.827 \| good	34.097 \| good	11.009 \| good	0.484 \| good	14.38 \| good	0.561 \| good
2026-10-21T15:00:00.000Z	33 \| good	6.221 \| good	28.057 \| good	16.993 \| good	0.552 \| good	12.855 \| good	0.626 \| good
2026-10-21T16:00:00.000Z	27 \| good	4.634 \| good	20.096 \| good	21.963 \| good	1.454 \| good	8.451 \| good	0.488 \| good
2026-10-21T17:00:00.000Z	22 \| good	3.609 \| good	16.018 \| good	24.005 \| good	2.078 \| good	2.976 \| good	0.397 \| good
2026-10-21T18:00:00.000Z	29 \| good	3.111 \| good	14.037 \| good	30.986 \| good	0.287 \| good	5.089 \| good	0.275 \| good
2026-10-21T19:00:00.000Z	32 \| good	2.809 \| good	12.034 \| good	34.988 \| good	0.34 \| good	3.706 \| good	0.264 \| good
2026-10-21T20:00:00.000Z	32 \| good	2.812 \| good	12.039 \| good	34.987 \| good	0.34 \| good	3.715 \| good	0.276 \| good
2026-10-21T21:00:00.000Z	32 \| good	2.817 \| good	12.033 \| good	34.984 \| good	0.338 \| good	1.463 \| good	0.292 \| good
2026-10-21T22:00:00.000Z	31 \| good	2.812 \| good	12.045 \| good	32.989 \| good	0.4 \| good	1.551 \| good	0.28 \| good
2026-10-21T23:00:00.000Z	26 \| good	2.923 \| good	12.11 \| good	28.001 \| good	0.36 \| good	3.564 \| good	0.299 \| good
2026-10-22T00:00:00.000Z	22 \| good	3.726 \| good	16.124 \| good	19.037 \| good	0.478 \| good	11.807 \| good	0.319 \| good
2026-10-22T01:00:00.000Z	22 \| good	4.035 \| good	18.12 \| good	19.006 \| good	0.469 \| good	17.383 \| good	0.386 \| good
2026-10-22T02:00:00.000Z	27 \| good	4.939 \| good	21.128 \| good	14.005 \| good	0.454 \| good	18.37 \| good	0.407 \| good
2026-10-22T03:00:00.000Z	38 \| good	7.422 \| good	32.827 \| good	4.94 \| good	2.673 \| good	27.785 \| good	0.382 \| good
2026-10-22T04:00:00.000Z	33 \| good	5.937 \| good	27.135 \| good	8.965 \| good	0.65 \| good	15.43 \| good	0.396 \| good
2026-10-22T05:00:00.000Z	33 \| good	6.051 \| good	27.219 \| good	4.992 \| good	0.617 \| good	19.422 \| good	0.393 \| good
2026-10-22T06:00:00.000Z	33 \| good	6.455 \| good	29.148 \| good	4.992 \| good	0.585 \| good	21.309 \| good	0.48 \| good
2026-10-22T07:00:00.000Z	38 \| good	7 \| good	31.221 \| good	3.988 \| good	0.833 \| good	20.884 \| good	0.483 \| good
2026-10-22T08:00:00.000Z	54 \| moderate	11.359 \| good	52.713 \| good	3.546 \| good	0.752 \| good	18.306 \| good	0.496 \| good
2026-10-22T09:00:00.000Z	49 \| good	9.096 \| good	41.248 \| good	2.201 \| good	0.81 \| good	21.109 \| good	0.494 \| good
2026-10-22T10:00:00.000Z	49 \| good	8.538 \| good	37.162 \| good	3.214 \| good	0.781 \| good	15.107 \| good	0.528 \| good
2026-10-22T11:00:00.000Z	44 \| good	8.145 \| good	36.173 \| good	1.017 \| good	0.724 \| good	13.145 \| good	0.649 \| good
2026-10-22T12:00:00.000Z	44 \| good	8.448 \| good	37.197 \| good	3.999 \| good	0.569 \| good	14.381 \| good	0.668 \| good
2026-10-22T13:00:00.000Z	52 \| moderate	9.858 \| good	44.259 \| good	5.026 \| good	0.702 \| good	14.843 \| good	0.785 \| good
2026-10-22T14:00:00.000Z	58 \| moderate	12.829 \| fine	57.092 \| fine	17.921 \| good	0.769 \| good	15.313 \| good	0.906 \| good
2026-10-22T15:00:00.000Z	54 \| moderate	11.424 \| good	51.196 \| good	22.994 \| good	0.631 \| good	12.828 \| good	0.568 \| good
2026-10-22T16:00:00.000Z	52 \| moderate	9.919 \| good	44.085 \| good	32.94 \| good	0.649 \| good	14.166 \| good	0.505 \| good
2026-10-22T17:00:00.000Z	44 \| good	8.202 \| good	36.081 \| good	35.999 \| good	0.714 \| good	8.214 \| good	0.367 \| good
2026-10-22T18:00:00.000Z	39 \| good	6.804 \| good	30.022 \| good	41.988 \| good	0.617 \| good	3.637 \| good	0.295 \| good
2026-10-22T19:00:00.000Z	43 \| good	6.402 \| good	28.984 \| good	46.02 \| good	0.804 \| good	2.532 \| good	0.251 \| good
2026-10-22T20:00:00.000Z	44 \| good	6.497 \| good	28.992 \| good	47.038 \| good	0.825 \| good	2.264 \| good	0.22 \| good
2026-10-22T21:00:00.000Z	43 \| good	6.499 \| good	28.985 \| good	46.048 \| good	0.71 \| good	2.079 \| good	0.22 \| good
2026-10-22T21:00:00.000Z	43 \| good	6.493 \| good	28.896 \| good	46.341 \| good	0.708 \| good	2.232 \| good	0.221 \| good
2026-10-22T22:00:00.000Z	33 \| good	5.678 \| good	24.748 \| good	35.663 \| good	0.78 \| good	2.766 \| good	0.19 \| good
2026-10-22T23:00:00.000Z	44 \| good	8.269 \| good	36.262 \| good	29.461 \| good	0.735 \| good	4.909 \| good	0.207 \| good
2026-10-23T00:00:00.000Z	54 \| moderate	11.302 \| good	49.721 \| good	24.9 \| good	0.664 \| good	5.369 \| good	0.208 \| good
2026-10-23T01:00:00.000Z	56 \| moderate	11.941 \| good	52.89 \| good	22.225 \| good	0.575 \| good	5.307 \| good	0.203 \| good
2026-10-23T02:00:00.000Z	52 \| moderate	9.524 \| good	42.698 \| good	18.762 \| good	0.48 \| good	5.321 \| good	0.197 \| good
2026-10-23T03:00:00.000Z	33 \| good	5.674 \| good	24.496 \| good	13.074 \| good	0.392 \| good	5.509 \| good	0.192 \| good
2026-10-23T04:00:00.000Z	38 \| good	6.804 \| good	30.227 \| good	13.013 \| good	0.312 \| good	5.241 \| good	0.187 \| good
2026-10-23T05:00:00.000Z	33 \| good	6.481 \| good	28.722 \| good	11.555 \| good	0.235 \| good	4.181 \| good	0.18 \| good
2026-10-23T06:00:00.000Z	38 \| good	6.516 \| good	28.983 \| good	11.873 \| good	0.188 \| good	3.557 \| good	0.174 \| good
2026-10-23T07:00:00.000Z	33 \| good	6.024 \| good	26.713 \| good	11.105 \| good	0.168 \| good	3.352 \| good	0.17 \| good
2026-10-23T08:00:00.000Z	33 \| good	6.368 \| good	28.339 \| good	8.693 \| good	0.165 \| good	3.509 \| good	0.171 \| good
2026-10-23T09:00:00.000Z	49 \| good	8.693 \| good	38.234 \| good	2.322 \| good	0.18 \| good	3.782 \| good	0.173 \| good
2026-10-23T10:00:00.000Z	56 \| moderate	11.742 \| good	52.203 \| good	4.386 \| good	0.214 \| good	4.174 \| good	0.177 \| good
2026-10-23T11:00:00.000Z	58 \| moderate	13.419 \| fine	60.085 \| fine	3.865 \| good	0.266 \| good	5.057 \| good	0.184 \| good
2026-10-23T12:00:00.000Z	66 \| moderate	17.121 \| fine	75.601 \| fine	3.706 \| good	0.359 \| good	7.482 \| good	0.2 \| good
2026-10-23T13:00:00.000Z	49 \| good	8.94 \| good	39.929 \| good	7.55 \| good	0.487 \| good	7.693 \| good	0.219 \| good
2026-10-23T14:00:00.000Z	19 \| good	3.334 \| good	14.42 \| good	20.624 \| good	0.758 \| good	5.519 \| good	0.201 \| good
2026-10-23T15:00:00.000Z	27 \| good	2.138 \| good	8.567 \| good	29.439 \| good	1.088 \| good	4.732 \| good	0.191 \| good
2026-10-23T16:00:00.000Z	33 \| good	1.884 \| good	7.846 \| good	35.891 \| good	1.693 \| good	4.204 \| good	0.178 \| good
2026-10-23T17:00:00.000Z	34 \| good	2.166 \| good	8.878 \| good	36.501 \| good	2.028 \| good	3.935 \| good	0.174 \| good
2026-10-23T18:00:00.000Z	36 \| good	2.817 \| good	11.744 \| good	38.597 \| good	2.138 \| good	3.966 \| good	0.174 \| good
2026-10-23T19:00:00.000Z	35 \| good	2.166 \| good	8.714 \| good	38.436 \| good	2.154 \| good	4.061 \| good	0.175 \| good
2026-10-23T20:00:00.000Z	35 \| good	1.314 \| good	5.334 \| good	38.061 \| good	2.099 \| good	4.13 \| good	0.174 \| good
2026-10-23T21:00:00.000Z	35 \| good	1.025 \| good	4.099 \| good	37.792 \| good	2.027 \| good	4.466 \| good	0.175 \| good
2026-10-23T22:00:00.000Z	29 \| good	3.034 \| good	12.725 \| good	30.879 \| good	1.747 \| good	6.998 \| good	0.194 \| good
2026-10-23T23:00:00.000Z	22 \| good	4.414 \| good	19.024 \| good	20.141 \| good	1.732 \| good	14.222 \| good	0.252 \| good
2026-10-24T00:00:00.000Z	33 \| good	5.915 \| good	25.757 \| good	18.577 \| good	1.541 \| good	17.042 \| good	0.271 \| good
2026-10-24T01:00:00.000Z	33 \| good	6.432 \| good	28.79 \| good	19.254 \| good	1.182 \| good	13.973 \| good	0.239 \| good
2026-10-24T02:00:00.000Z	33 \| good	6.493 \| good	29.003 \| good	15.446 \| good	0.76 \| good	10.363 \| good	0.21 \| good
2026-10-24T03:00:00.000Z	33 \| good	6.275 \| good	27.953 \| good	11.759 \| good	0.465 \| good	7.784 \| good	0.189 \| good
2026-10-24T04:00:00.000Z	27 \| good	5.385 \| good	23.074 \| good	6.633 \| good	0.369 \| good	6.149 \| good	0.179 \| good
2026-10-24T05:00:00.000Z	33 \| good	6.331 \| good	28.132 \| good	5.854 \| good	0.403 \| good	4.991 \| good	0.176 \| good
2026-10-24T06:00:00.000Z	44 \| good	7.694 \| good	34.149 \| good	5.731 \| good	0.501 \| good	4.897 \| good	0.178 \| good
2026-10-24T07:00:00.000Z	38 \| good	7.416 \| good	32.588 \| good	5.743 \| good	0.607 \| good	5.354 \| good	0.184 \| good
2026-10-24T08:00:00.000Z	33 \| good	6.468 \| good	28.932 \| good	5.479 \| good	0.699 \| good	6.056 \| good	0.19 \| good
2026-10-24T09:00:00.000Z	33 \| good	5.97 \| good	25.975 \| good	5.415 \| good	0.766 \| good	6.877 \| good	0.197 \| good
2026-10-24T10:00:00.000Z	33 \| good	6.281 \| good	27.844 \| good	4.801 \| good	0.792 \| good	7.576 \| good	0.204 \| good
2026-10-24T11:00:00.000Z	38 \| good	7.465 \| good	32.688 \| good	4.704 \| good	0.819 \| good	8.399 \| good	0.211 \| good
2026-10-24T12:00:00.000Z	54 \| moderate	11.296 \| good	50.045 \| good	1.817 \| good	0.878 \| good	10.142 \| good	0.224 \| good
2026-10-24T13:00:00.000Z	38 \| good	7.301 \| good	32.29 \| good	6.518 \| good	0.909 \| good	9.945 \| good	0.244 \| good
2026-10-24T14:00:00.000Z	27 \| good	4.704 \| good	20.529 \| good	17.849 \| good	0.838 \| good	7.175 \| good	0.23 \| good
2026-10-24T15:00:00.000Z	24 \| good	2.884 \| good	12.407 \| good	26.029 \| good	0.893 \| good	6.032 \| good	0.215 \| good
2026-10-24T16:00:00.000Z	29 \| good	1.1 \| good	4.181 \| good	31.435 \| good	1.354 \| good	4.884 \| good	0.185 \| good
2026-10-24T17:00:00.000Z	31 \| good	1.129 \| good	4.63 \| good	34.396 \| good	1.829 \| good	3.885 \| good	0.163 \| good
2026-10-24T18:00:00.000Z	35 \| good	2.351 \| good	9.556 \| good	37.771 \| good	1.88 \| good	3.684 \| good	0.159 \| good
2026-10-24T19:00:00.000Z	38 \| good	1.92 \| good	7.832 \| good	40.826 \| good	1.806 \| good	3.6 \| good	0.157 \| good
2026-10-24T20:00:00.000Z	41 \| good	3.41 \| good	14.719 \| good	44.101 \| good	1.676 \| good	3.607 \| good	0.157 \| good
2026-10-24T21:00:00.000Z	41 \| good	5.983 \| good	26.52 \| good	43.984 \| good	1.56 \| good	3.85 \| good	0.158 \| good

Real-time air quality index in New Baltimore, Michigan today

Common air pollutants in New Baltimore, Michigan

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live New Baltimore, Michigan air quality forecast and history

Empower business decisions with accurate air quality data

New Baltimore, Michigan air quality map: Real-time AQI near you

Air quality in nearby cities

Chesterfield, Michigan

Lenox, Michigan

Harrison Charter Township, Michigan

Mount Clemens, Michigan

Macomb, Michigan

Clinton Charter Township, Michigan

How accurate is Michigan, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for New Baltimore, Michigan updated?

When did New Baltimore, Michigan experience the worst air quality in the last 24 hours?

When did New Baltimore, Michigan have its best air quality in the last 24 hours?

What is the real-time air quality index for New Baltimore, Michigan?

Which pollutant is found most often in New Baltimore, Michigan?

What can I do if the air quality in New Baltimore, Michigan is poor?

What are the current PM2.5 levels in New Baltimore, Michigan?

What are the current PM10 levels at New Baltimore, Michigan?

What are the current carbon monoxide (CO) levels at New Baltimore, Michigan?

What are the current sulfur dioxide (SO2) levels at New Baltimore, Michigan?

What are the current ozone (O3) levels at New Baltimore, Michigan?

What are the current nitrogen dioxide (NO2) levels at New Baltimore, Michigan?

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 New Baltimore, Michigan?

What are the current PM₁₀ levels at New Baltimore, Michigan?

What are the current sulfur dioxide (SO₂) levels at New Baltimore, Michigan?

What are the current ozone (O₃) levels at New Baltimore, Michigan?

What are the current nitrogen dioxide (NO₂) levels at New Baltimore, Michigan?