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

The current PM10 levels in New Baltimore, Michigan are 10.147 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 0.863 ppb.

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

The current ozone (O3) levels at New Baltimore, Michigan is 21.003 ppm.

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

The current nitrogen dioxide (NO2) levels at New Baltimore, Michigan is 5.706 ppb.

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

Name: Live air pollution levels in New Baltimore, Michigan today
Creator: Ambee

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)

2.35 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.15 μg/m³

155

255

425

605+

Ozone (O₃)

21.00 ppb

201

201+

Sulfur Dioxide (SO₂)

0.86 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.71 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.12 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

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
2025-10-20T06:00:00.000Z	24 \| good	3.297 \| good	14.972 \| good	26.014 \| good	1.543 \| good	2.082 \| good	0.12 \| good
2025-10-20T07:00:00.000Z	23 \| good	3.199 \| good	13.995 \| good	24.972 \| good	1.566 \| good	2.026 \| good	0.115 \| good
2025-10-20T08:00:00.000Z	22 \| good	3.199 \| good	14.001 \| good	23.967 \| good	0.9 \| good	2.608 \| good	0.107 \| good
2025-10-20T09:00:00.000Z	20 \| good	3.299 \| good	14.976 \| good	21.96 \| good	1.438 \| good	3.373 \| good	0.115 \| good
2025-10-20T10:00:00.000Z	19 \| good	3.299 \| good	14.981 \| good	19.976 \| good	1.56 \| good	5.773 \| good	0.16 \| good
2025-10-20T11:00:00.000Z	16 \| good	3.399 \| good	14.989 \| good	16.982 \| good	0.992 \| good	2.858 \| good	0.164 \| good
2025-10-20T12:00:00.000Z	22 \| good	4.49 \| good	19.921 \| good	12.021 \| good	1.697 \| good	3.89 \| good	0.269 \| good
2025-10-20T13:00:00.000Z	22 \| good	4.293 \| good	18.957 \| good	13.994 \| good	1.592 \| good	4.159 \| good	0.311 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.897 \| good	16.993 \| good	14.02 \| good	1.618 \| good	5.167 \| good	0.26 \| good
2025-10-20T15:00:00.000Z	16 \| good	3.301 \| good	14.99 \| good	14.04 \| good	1.003 \| good	5.39 \| good	0.247 \| good
2025-10-20T16:00:00.000Z	16 \| good	2.802 \| good	11.994 \| good	14.081 \| good	0.983 \| good	4.851 \| good	0.192 \| good
2025-10-20T17:00:00.000Z	26 \| good	2.7 \| good	10.997 \| good	27.943 \| good	0.985 \| good	3.672 \| good	0.144 \| good
2025-10-20T18:00:00.000Z	28 \| good	2.498 \| good	9.986 \| good	29.972 \| good	1.282 \| good	3.288 \| good	0.136 \| good
2025-10-20T19:00:00.000Z	30 \| good	2.498 \| good	9.996 \| good	31.974 \| good	1.276 \| good	4.001 \| good	0.132 \| good
2025-10-20T20:00:00.000Z	31 \| good	2.498 \| good	9.997 \| good	33.981 \| good	1.116 \| good	3.944 \| good	0.139 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.597 \| good	10.984 \| good	33.973 \| good	1.601 \| good	3.763 \| good	0.135 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.696 \| good	10.977 \| good	33.973 \| good	2.501 \| good	2.689 \| good	0.17 \| good
2025-10-20T23:00:00.000Z	27 \| good	3.067 \| good	13.366 \| good	29.178 \| good	1.357 \| good	3.114 \| good	0.163 \| good
2025-10-21T00:00:00.000Z	29 \| good	2.807 \| good	12.032 \| good	30.94 \| good	0.851 \| good	5.915 \| good	0.225 \| good
2025-10-21T01:00:00.000Z	23 \| good	3.015 \| good	12.049 \| good	24.973 \| good	1.014 \| good	8.709 \| good	0.284 \| good
2025-10-21T02:00:00.000Z	20 \| good	3.408 \| good	15.03 \| good	21.995 \| good	1.117 \| good	8.196 \| good	0.299 \| good
2025-10-21T03:00:00.000Z	44 \| good	8.475 \| good	37 \| good	16.935 \| good	0.798 \| good	8.148 \| good	0.181 \| good
2025-10-21T04:00:00.000Z	26 \| good	3.835 \| good	17.152 \| good	27.912 \| good	1.21 \| good	9.262 \| good	0.192 \| good
2025-10-21T05:00:00.000Z	30 \| good	3.213 \| good	14.066 \| good	31.865 \| good	2.586 \| good	7.117 \| good	0.14 \| good
2025-10-21T06:00:00.000Z	30 \| good	2.914 \| good	12.05 \| good	31.863 \| good	3.129 \| good	6.423 \| good	0.148 \| good
2025-10-21T07:00:00.000Z	28 \| good	2.81 \| good	12.062 \| good	29.925 \| good	2.302 \| good	5.796 \| good	0.144 \| good
2025-10-21T08:00:00.000Z	28 \| good	2.704 \| good	11.02 \| good	29.949 \| good	1.54 \| good	4.348 \| good	0.119 \| good
2025-10-21T09:00:00.000Z	28 \| good	2.706 \| good	11.029 \| good	29.937 \| good	5.565 \| good	3.559 \| good	0.141 \| good
2025-10-21T10:00:00.000Z	26 \| good	2.806 \| good	12.006 \| good	27.96 \| good	2.002 \| good	4.26 \| good	0.152 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.108 \| good	14.032 \| good	23.991 \| good	1.668 \| good	8.116 \| good	0.171 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.606 \| good	16.021 \| good	18.021 \| good	1.615 \| good	8.59 \| good	0.259 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.904 \| good	16.992 \| good	17.047 \| good	1.712 \| good	9.3 \| good	0.195 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.903 \| good	16.982 \| good	20.005 \| good	1.906 \| good	8.943 \| good	0.195 \| good
2025-10-21T15:00:00.000Z	23 \| good	3.801 \| good	16.996 \| good	24.956 \| good	1.12 \| good	7.264 \| good	0.204 \| good
2025-10-21T16:00:00.000Z	27 \| good	3.702 \| good	16.018 \| good	28.94 \| good	3.225 \| good	7.001 \| good	0.125 \| good
2025-10-21T17:00:00.000Z	28 \| good	3.598 \| good	15.961 \| good	29.955 \| good	1.229 \| good	4.822 \| good	0.127 \| good
2025-10-21T18:00:00.000Z	30 \| good	3.596 \| good	15.955 \| good	31.985 \| good	1.146 \| good	4.428 \| good	0.111 \| good
2025-10-21T19:00:00.000Z	30 \| good	3.394 \| good	14.974 \| good	32.006 \| good	1.934 \| good	3.81 \| good	0.111 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.199 \| good	13.993 \| good	33.989 \| good	2.11 \| good	3.601 \| good	0.141 \| good
2025-10-21T21:00:00.000Z	31 \| good	3.296 \| good	14.961 \| good	32.981 \| good	0.874 \| good	3.34 \| good	0.167 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.19 \| good	8.885 \| good	34.088 \| good	1.654 \| good	5.136 \| good	0.167 \| good
2025-10-21T23:00:00.000Z	25 \| good	2.202 \| good	8.999 \| good	27.021 \| good	1.608 \| good	7.428 \| good	0.184 \| good
2025-10-22T00:00:00.000Z	25 \| good	2.402 \| good	10.011 \| good	26.986 \| good	1.523 \| good	6.094 \| good	0.159 \| good
2025-10-22T01:00:00.000Z	19 \| good	2.61 \| good	11.027 \| good	21.036 \| good	1.581 \| good	10.214 \| good	0.188 \| good
2025-10-22T02:00:00.000Z	20 \| good	2.809 \| good	12.056 \| good	22.035 \| good	1.513 \| good	8.254 \| good	0.196 \| good
2025-10-22T03:00:00.000Z	27 \| good	1.934 \| good	8 \| good	28.966 \| good	0.789 \| good	5.033 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	22 \| good	2.207 \| good	9.023 \| good	23.967 \| good	1.217 \| good	7.506 \| good	0.132 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.306 \| good	10.021 \| good	21 \| good	0.845 \| good	5.786 \| good	0.12 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.345 \| good	10.147 \| good	21.003 \| good	0.863 \| good	5.706 \| good	0.12 \| good
2025-10-22T06:00:00.000Z	26 \| good	2.296 \| good	9.338 \| good	28.277 \| good	0.685 \| good	3.787 \| good	0.146 \| good
2025-10-22T07:00:00.000Z	24 \| good	2.904 \| good	11.925 \| good	25.77 \| good	0.583 \| good	3.337 \| good	0.142 \| good
2025-10-22T08:00:00.000Z	24 \| good	3.329 \| good	14.633 \| good	25.983 \| good	0.481 \| good	2.887 \| good	0.138 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.617 \| good	20.119 \| good	24.217 \| good	0.379 \| good	2.437 \| good	0.135 \| good
2025-10-22T10:00:00.000Z	27 \| good	5.23 \| good	22.756 \| good	19.401 \| good	0.399 \| good	2.59 \| good	0.134 \| good
2025-10-22T11:00:00.000Z	22 \| good	4.241 \| good	18.54 \| good	16.715 \| good	0.42 \| good	2.743 \| good	0.134 \| good
2025-10-22T12:00:00.000Z	16 \| good	3.039 \| good	12.574 \| good	17.104 \| good	0.44 \| good	2.895 \| good	0.134 \| good
2025-10-22T13:00:00.000Z	13 \| good	2.11 \| good	8.544 \| good	13.808 \| good	0.459 \| good	3.127 \| good	0.137 \| good
2025-10-22T14:00:00.000Z	22 \| good	3.817 \| good	16.76 \| good	13.34 \| good	0.477 \| good	3.359 \| good	0.14 \| good
2025-10-22T15:00:00.000Z	27 \| good	4.956 \| good	21.297 \| good	12.097 \| good	0.496 \| good	3.59 \| good	0.143 \| good
2025-10-22T16:00:00.000Z	22 \| good	4.198 \| good	18.418 \| good	14.379 \| good	0.444 \| good	3.003 \| good	0.139 \| good
2025-10-22T17:00:00.000Z	22 \| good	3.866 \| good	16.687 \| good	21.803 \| good	0.392 \| good	2.415 \| good	0.136 \| good
2025-10-22T18:00:00.000Z	23 \| good	4.265 \| good	18.616 \| good	24.708 \| good	0.34 \| good	1.827 \| good	0.133 \| good
2025-10-22T19:00:00.000Z	24 \| good	2.272 \| good	9.251 \| good	26.364 \| good	0.31 \| good	1.887 \| good	0.133 \| good
2025-10-22T20:00:00.000Z	22 \| good	1.852 \| good	7.881 \| good	23.712 \| good	0.281 \| good	1.948 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	23 \| good	0.892 \| good	3.44 \| good	24.826 \| good	0.251 \| good	2.008 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	21 \| good	1.403 \| good	5.648 \| good	23.112 \| good	0.285 \| good	2.938 \| good	0.144 \| good
2025-10-22T23:00:00.000Z	24 \| good	0.517 \| good	1.925 \| good	26.038 \| good	0.318 \| good	3.868 \| good	0.152 \| good
2025-10-23T00:00:00.000Z	27 \| good	1.179 \| good	5 \| good	29.39 \| good	0.352 \| good	4.798 \| good	0.161 \| good
2025-10-23T01:00:00.000Z	23 \| good	2.403 \| good	9.879 \| good	25.067 \| good	0.348 \| good	4.397 \| good	0.157 \| good
2025-10-23T02:00:00.000Z	26 \| good	0.192 \| good	0.39 \| good	27.801 \| good	0.344 \| good	3.997 \| good	0.153 \| good
2025-10-23T03:00:00.000Z	27 \| good	0.385 \| good	1.428 \| good	28.916 \| good	0.34 \| good	3.596 \| good	0.149 \| good
2025-10-23T04:00:00.000Z	29 \| good	0.709 \| good	2.537 \| good	31.319 \| good	0.325 \| good	3.261 \| good	0.147 \| good
2025-10-23T05:00:00.000Z	30 \| good	0.331 \| good	1.046 \| good	32.375 \| good	0.309 \| good	2.926 \| good	0.145 \| good
2025-10-23T06:00:00.000Z	31 \| good	0.293 \| good	0.925 \| good	33.065 \| good	0.293 \| good	2.591 \| good	0.143 \| good
2025-10-23T07:00:00.000Z	27 \| good	0.141 \| good	0.084 \| good	29.392 \| good	0.272 \| good	2.296 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	27 \| good	0.251 \| good	1.048 \| good	28.524 \| good	0.251 \| good	2.002 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	28 \| good	1.119 \| good	4.537 \| good	30.461 \| good	0.23 \| good	1.707 \| good	0.137 \| good
2025-10-23T10:00:00.000Z	23 \| good	1.5 \| good	5.916 \| good	25.487 \| good	0.208 \| good	1.621 \| good	0.136 \| good
2025-10-23T11:00:00.000Z	19 \| good	1.599 \| good	6.531 \| good	20.486 \| good	0.187 \| good	1.535 \| good	0.134 \| good
2025-10-23T12:00:00.000Z	19 \| good	0.744 \| good	2.696 \| good	20.568 \| good	0.165 \| good	1.449 \| good	0.133 \| good
2025-10-23T13:00:00.000Z	19 \| good	0.696 \| good	2.468 \| good	19.966 \| good	0.152 \| good	1.297 \| good	0.131 \| good
2025-10-23T14:00:00.000Z	20 \| good	0.415 \| good	1.702 \| good	22.155 \| good	0.139 \| good	1.144 \| good	0.129 \| good
2025-10-23T15:00:00.000Z	20 \| good	0.459 \| good	1.883 \| good	21.977 \| good	0.126 \| good	0.992 \| good	0.127 \| good
2025-10-23T16:00:00.000Z	22 \| good	0.458 \| good	1.879 \| good	24.488 \| good	0.123 \| good	0.904 \| good	0.128 \| good
2025-10-23T17:00:00.000Z	27 \| good	0.444 \| good	1.879 \| good	28.611 \| good	0.119 \| good	0.816 \| good	0.129 \| good
2025-10-23T18:00:00.000Z	27 \| good	0.283 \| good	1 \| good	28.67 \| good	0.116 \| good	0.728 \| good	0.13 \| good
2025-10-23T19:00:00.000Z	22 \| good	0.681 \| good	2.502 \| good	23.529 \| good	0.112 \| good	0.832 \| good	0.131 \| good
2025-10-23T20:00:00.000Z	20 \| good	1.035 \| good	4.308 \| good	21.697 \| good	0.108 \| good	0.937 \| good	0.132 \| good
2025-10-23T21:00:00.000Z	21 \| good	0.547 \| good	1.964 \| good	23.202 \| good	0.103 \| good	1.042 \| good	0.133 \| good
2025-10-23T22:00:00.000Z	20 \| good	0.389 \| good	1.205 \| good	21.878 \| good	0.134 \| good	1.936 \| good	0.14 \| good
2025-10-23T23:00:00.000Z	19 \| good	0.568 \| good	2.004 \| good	20.89 \| good	0.164 \| good	2.83 \| good	0.148 \| good
2025-10-24T00:00:00.000Z	19 \| good	2.284 \| good	9.378 \| good	19.597 \| good	0.194 \| good	3.725 \| good	0.155 \| good
2025-10-24T01:00:00.000Z	16 \| good	3.158 \| good	13.654 \| good	16.361 \| good	0.224 \| good	3.842 \| good	0.155 \| good
2025-10-24T02:00:00.000Z	18 \| good	2.25 \| good	9.297 \| good	18.849 \| good	0.254 \| good	3.958 \| good	0.155 \| good
2025-10-24T03:00:00.000Z	17 \| good	0.456 \| good	1.709 \| good	18.174 \| good	0.284 \| good	4.075 \| good	0.155 \| good
2025-10-24T04:00:00.000Z	15 \| good	0.491 \| good	1.916 \| good	15.765 \| good	0.272 \| good	3.786 \| good	0.152 \| good
2025-10-24T05:00:00.000Z	11 \| good	0.188 \| good	0.322 \| good	11.637 \| good	0.26 \| good	3.497 \| good	0.149 \| good

New Baltimore

Empower business decisions with accurate air quality data

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

0.14ppm

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

Air quality levels in US

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

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

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 10:00:00 on 2025-10-21.

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 2025-10-22.

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

The real-time air quality index in New Baltimore, Michigan is 19, 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 2.345 μg/m³.

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

The current PM₁₀ levels in New Baltimore, Michigan are 10.147 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 0.12 ppm.

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

The current sulfur dioxide (SO₂) levels in New Baltimore, Michigan are 0.863 ppb.

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

The current ozone (O₃) levels at New Baltimore, Michigan is 21.003 ppm.

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

The current nitrogen dioxide (NO₂) levels at New Baltimore, Michigan is 5.706 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	24 \| good	3.297 \| good	14.972 \| good	26.014 \| good	1.543 \| good	2.082 \| good	0.12 \| good
2025-10-20T07:00:00.000Z	23 \| good	3.199 \| good	13.995 \| good	24.972 \| good	1.566 \| good	2.026 \| good	0.115 \| good
2025-10-20T08:00:00.000Z	22 \| good	3.199 \| good	14.001 \| good	23.967 \| good	0.9 \| good	2.608 \| good	0.107 \| good
2025-10-20T09:00:00.000Z	20 \| good	3.299 \| good	14.976 \| good	21.96 \| good	1.438 \| good	3.373 \| good	0.115 \| good
2025-10-20T10:00:00.000Z	19 \| good	3.299 \| good	14.981 \| good	19.976 \| good	1.56 \| good	5.773 \| good	0.16 \| good
2025-10-20T11:00:00.000Z	16 \| good	3.399 \| good	14.989 \| good	16.982 \| good	0.992 \| good	2.858 \| good	0.164 \| good
2025-10-20T12:00:00.000Z	22 \| good	4.49 \| good	19.921 \| good	12.021 \| good	1.697 \| good	3.89 \| good	0.269 \| good
2025-10-20T13:00:00.000Z	22 \| good	4.293 \| good	18.957 \| good	13.994 \| good	1.592 \| good	4.159 \| good	0.311 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.897 \| good	16.993 \| good	14.02 \| good	1.618 \| good	5.167 \| good	0.26 \| good
2025-10-20T15:00:00.000Z	16 \| good	3.301 \| good	14.99 \| good	14.04 \| good	1.003 \| good	5.39 \| good	0.247 \| good
2025-10-20T16:00:00.000Z	16 \| good	2.802 \| good	11.994 \| good	14.081 \| good	0.983 \| good	4.851 \| good	0.192 \| good
2025-10-20T17:00:00.000Z	26 \| good	2.7 \| good	10.997 \| good	27.943 \| good	0.985 \| good	3.672 \| good	0.144 \| good
2025-10-20T18:00:00.000Z	28 \| good	2.498 \| good	9.986 \| good	29.972 \| good	1.282 \| good	3.288 \| good	0.136 \| good
2025-10-20T19:00:00.000Z	30 \| good	2.498 \| good	9.996 \| good	31.974 \| good	1.276 \| good	4.001 \| good	0.132 \| good
2025-10-20T20:00:00.000Z	31 \| good	2.498 \| good	9.997 \| good	33.981 \| good	1.116 \| good	3.944 \| good	0.139 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.597 \| good	10.984 \| good	33.973 \| good	1.601 \| good	3.763 \| good	0.135 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.696 \| good	10.977 \| good	33.973 \| good	2.501 \| good	2.689 \| good	0.17 \| good
2025-10-20T23:00:00.000Z	27 \| good	3.067 \| good	13.366 \| good	29.178 \| good	1.357 \| good	3.114 \| good	0.163 \| good
2025-10-21T00:00:00.000Z	29 \| good	2.807 \| good	12.032 \| good	30.94 \| good	0.851 \| good	5.915 \| good	0.225 \| good
2025-10-21T01:00:00.000Z	23 \| good	3.015 \| good	12.049 \| good	24.973 \| good	1.014 \| good	8.709 \| good	0.284 \| good
2025-10-21T02:00:00.000Z	20 \| good	3.408 \| good	15.03 \| good	21.995 \| good	1.117 \| good	8.196 \| good	0.299 \| good
2025-10-21T03:00:00.000Z	44 \| good	8.475 \| good	37 \| good	16.935 \| good	0.798 \| good	8.148 \| good	0.181 \| good
2025-10-21T04:00:00.000Z	26 \| good	3.835 \| good	17.152 \| good	27.912 \| good	1.21 \| good	9.262 \| good	0.192 \| good
2025-10-21T05:00:00.000Z	30 \| good	3.213 \| good	14.066 \| good	31.865 \| good	2.586 \| good	7.117 \| good	0.14 \| good
2025-10-21T06:00:00.000Z	30 \| good	2.914 \| good	12.05 \| good	31.863 \| good	3.129 \| good	6.423 \| good	0.148 \| good
2025-10-21T07:00:00.000Z	28 \| good	2.81 \| good	12.062 \| good	29.925 \| good	2.302 \| good	5.796 \| good	0.144 \| good
2025-10-21T08:00:00.000Z	28 \| good	2.704 \| good	11.02 \| good	29.949 \| good	1.54 \| good	4.348 \| good	0.119 \| good
2025-10-21T09:00:00.000Z	28 \| good	2.706 \| good	11.029 \| good	29.937 \| good	5.565 \| good	3.559 \| good	0.141 \| good
2025-10-21T10:00:00.000Z	26 \| good	2.806 \| good	12.006 \| good	27.96 \| good	2.002 \| good	4.26 \| good	0.152 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.108 \| good	14.032 \| good	23.991 \| good	1.668 \| good	8.116 \| good	0.171 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.606 \| good	16.021 \| good	18.021 \| good	1.615 \| good	8.59 \| good	0.259 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.904 \| good	16.992 \| good	17.047 \| good	1.712 \| good	9.3 \| good	0.195 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.903 \| good	16.982 \| good	20.005 \| good	1.906 \| good	8.943 \| good	0.195 \| good
2025-10-21T15:00:00.000Z	23 \| good	3.801 \| good	16.996 \| good	24.956 \| good	1.12 \| good	7.264 \| good	0.204 \| good
2025-10-21T16:00:00.000Z	27 \| good	3.702 \| good	16.018 \| good	28.94 \| good	3.225 \| good	7.001 \| good	0.125 \| good
2025-10-21T17:00:00.000Z	28 \| good	3.598 \| good	15.961 \| good	29.955 \| good	1.229 \| good	4.822 \| good	0.127 \| good
2025-10-21T18:00:00.000Z	30 \| good	3.596 \| good	15.955 \| good	31.985 \| good	1.146 \| good	4.428 \| good	0.111 \| good
2025-10-21T19:00:00.000Z	30 \| good	3.394 \| good	14.974 \| good	32.006 \| good	1.934 \| good	3.81 \| good	0.111 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.199 \| good	13.993 \| good	33.989 \| good	2.11 \| good	3.601 \| good	0.141 \| good
2025-10-21T21:00:00.000Z	31 \| good	3.296 \| good	14.961 \| good	32.981 \| good	0.874 \| good	3.34 \| good	0.167 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.19 \| good	8.885 \| good	34.088 \| good	1.654 \| good	5.136 \| good	0.167 \| good
2025-10-21T23:00:00.000Z	25 \| good	2.202 \| good	8.999 \| good	27.021 \| good	1.608 \| good	7.428 \| good	0.184 \| good
2025-10-22T00:00:00.000Z	25 \| good	2.402 \| good	10.011 \| good	26.986 \| good	1.523 \| good	6.094 \| good	0.159 \| good
2025-10-22T01:00:00.000Z	19 \| good	2.61 \| good	11.027 \| good	21.036 \| good	1.581 \| good	10.214 \| good	0.188 \| good
2025-10-22T02:00:00.000Z	20 \| good	2.809 \| good	12.056 \| good	22.035 \| good	1.513 \| good	8.254 \| good	0.196 \| good
2025-10-22T03:00:00.000Z	27 \| good	1.934 \| good	8 \| good	28.966 \| good	0.789 \| good	5.033 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	22 \| good	2.207 \| good	9.023 \| good	23.967 \| good	1.217 \| good	7.506 \| good	0.132 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.306 \| good	10.021 \| good	21 \| good	0.845 \| good	5.786 \| good	0.12 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.345 \| good	10.147 \| good	21.003 \| good	0.863 \| good	5.706 \| good	0.12 \| good
2025-10-22T06:00:00.000Z	26 \| good	2.296 \| good	9.338 \| good	28.277 \| good	0.685 \| good	3.787 \| good	0.146 \| good
2025-10-22T07:00:00.000Z	24 \| good	2.904 \| good	11.925 \| good	25.77 \| good	0.583 \| good	3.337 \| good	0.142 \| good
2025-10-22T08:00:00.000Z	24 \| good	3.329 \| good	14.633 \| good	25.983 \| good	0.481 \| good	2.887 \| good	0.138 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.617 \| good	20.119 \| good	24.217 \| good	0.379 \| good	2.437 \| good	0.135 \| good
2025-10-22T10:00:00.000Z	27 \| good	5.23 \| good	22.756 \| good	19.401 \| good	0.399 \| good	2.59 \| good	0.134 \| good
2025-10-22T11:00:00.000Z	22 \| good	4.241 \| good	18.54 \| good	16.715 \| good	0.42 \| good	2.743 \| good	0.134 \| good
2025-10-22T12:00:00.000Z	16 \| good	3.039 \| good	12.574 \| good	17.104 \| good	0.44 \| good	2.895 \| good	0.134 \| good
2025-10-22T13:00:00.000Z	13 \| good	2.11 \| good	8.544 \| good	13.808 \| good	0.459 \| good	3.127 \| good	0.137 \| good
2025-10-22T14:00:00.000Z	22 \| good	3.817 \| good	16.76 \| good	13.34 \| good	0.477 \| good	3.359 \| good	0.14 \| good
2025-10-22T15:00:00.000Z	27 \| good	4.956 \| good	21.297 \| good	12.097 \| good	0.496 \| good	3.59 \| good	0.143 \| good
2025-10-22T16:00:00.000Z	22 \| good	4.198 \| good	18.418 \| good	14.379 \| good	0.444 \| good	3.003 \| good	0.139 \| good
2025-10-22T17:00:00.000Z	22 \| good	3.866 \| good	16.687 \| good	21.803 \| good	0.392 \| good	2.415 \| good	0.136 \| good
2025-10-22T18:00:00.000Z	23 \| good	4.265 \| good	18.616 \| good	24.708 \| good	0.34 \| good	1.827 \| good	0.133 \| good
2025-10-22T19:00:00.000Z	24 \| good	2.272 \| good	9.251 \| good	26.364 \| good	0.31 \| good	1.887 \| good	0.133 \| good
2025-10-22T20:00:00.000Z	22 \| good	1.852 \| good	7.881 \| good	23.712 \| good	0.281 \| good	1.948 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	23 \| good	0.892 \| good	3.44 \| good	24.826 \| good	0.251 \| good	2.008 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	21 \| good	1.403 \| good	5.648 \| good	23.112 \| good	0.285 \| good	2.938 \| good	0.144 \| good
2025-10-22T23:00:00.000Z	24 \| good	0.517 \| good	1.925 \| good	26.038 \| good	0.318 \| good	3.868 \| good	0.152 \| good
2025-10-23T00:00:00.000Z	27 \| good	1.179 \| good	5 \| good	29.39 \| good	0.352 \| good	4.798 \| good	0.161 \| good
2025-10-23T01:00:00.000Z	23 \| good	2.403 \| good	9.879 \| good	25.067 \| good	0.348 \| good	4.397 \| good	0.157 \| good
2025-10-23T02:00:00.000Z	26 \| good	0.192 \| good	0.39 \| good	27.801 \| good	0.344 \| good	3.997 \| good	0.153 \| good
2025-10-23T03:00:00.000Z	27 \| good	0.385 \| good	1.428 \| good	28.916 \| good	0.34 \| good	3.596 \| good	0.149 \| good
2025-10-23T04:00:00.000Z	29 \| good	0.709 \| good	2.537 \| good	31.319 \| good	0.325 \| good	3.261 \| good	0.147 \| good
2025-10-23T05:00:00.000Z	30 \| good	0.331 \| good	1.046 \| good	32.375 \| good	0.309 \| good	2.926 \| good	0.145 \| good
2025-10-23T06:00:00.000Z	31 \| good	0.293 \| good	0.925 \| good	33.065 \| good	0.293 \| good	2.591 \| good	0.143 \| good
2025-10-23T07:00:00.000Z	27 \| good	0.141 \| good	0.084 \| good	29.392 \| good	0.272 \| good	2.296 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	27 \| good	0.251 \| good	1.048 \| good	28.524 \| good	0.251 \| good	2.002 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	28 \| good	1.119 \| good	4.537 \| good	30.461 \| good	0.23 \| good	1.707 \| good	0.137 \| good
2025-10-23T10:00:00.000Z	23 \| good	1.5 \| good	5.916 \| good	25.487 \| good	0.208 \| good	1.621 \| good	0.136 \| good
2025-10-23T11:00:00.000Z	19 \| good	1.599 \| good	6.531 \| good	20.486 \| good	0.187 \| good	1.535 \| good	0.134 \| good
2025-10-23T12:00:00.000Z	19 \| good	0.744 \| good	2.696 \| good	20.568 \| good	0.165 \| good	1.449 \| good	0.133 \| good
2025-10-23T13:00:00.000Z	19 \| good	0.696 \| good	2.468 \| good	19.966 \| good	0.152 \| good	1.297 \| good	0.131 \| good
2025-10-23T14:00:00.000Z	20 \| good	0.415 \| good	1.702 \| good	22.155 \| good	0.139 \| good	1.144 \| good	0.129 \| good
2025-10-23T15:00:00.000Z	20 \| good	0.459 \| good	1.883 \| good	21.977 \| good	0.126 \| good	0.992 \| good	0.127 \| good
2025-10-23T16:00:00.000Z	22 \| good	0.458 \| good	1.879 \| good	24.488 \| good	0.123 \| good	0.904 \| good	0.128 \| good
2025-10-23T17:00:00.000Z	27 \| good	0.444 \| good	1.879 \| good	28.611 \| good	0.119 \| good	0.816 \| good	0.129 \| good
2025-10-23T18:00:00.000Z	27 \| good	0.283 \| good	1 \| good	28.67 \| good	0.116 \| good	0.728 \| good	0.13 \| good
2025-10-23T19:00:00.000Z	22 \| good	0.681 \| good	2.502 \| good	23.529 \| good	0.112 \| good	0.832 \| good	0.131 \| good
2025-10-23T20:00:00.000Z	20 \| good	1.035 \| good	4.308 \| good	21.697 \| good	0.108 \| good	0.937 \| good	0.132 \| good
2025-10-23T21:00:00.000Z	21 \| good	0.547 \| good	1.964 \| good	23.202 \| good	0.103 \| good	1.042 \| good	0.133 \| good
2025-10-23T22:00:00.000Z	20 \| good	0.389 \| good	1.205 \| good	21.878 \| good	0.134 \| good	1.936 \| good	0.14 \| good
2025-10-23T23:00:00.000Z	19 \| good	0.568 \| good	2.004 \| good	20.89 \| good	0.164 \| good	2.83 \| good	0.148 \| good
2025-10-24T00:00:00.000Z	19 \| good	2.284 \| good	9.378 \| good	19.597 \| good	0.194 \| good	3.725 \| good	0.155 \| good
2025-10-24T01:00:00.000Z	16 \| good	3.158 \| good	13.654 \| good	16.361 \| good	0.224 \| good	3.842 \| good	0.155 \| good
2025-10-24T02:00:00.000Z	18 \| good	2.25 \| good	9.297 \| good	18.849 \| good	0.254 \| good	3.958 \| good	0.155 \| good
2025-10-24T03:00:00.000Z	17 \| good	0.456 \| good	1.709 \| good	18.174 \| good	0.284 \| good	4.075 \| good	0.155 \| good
2025-10-24T04:00:00.000Z	15 \| good	0.491 \| good	1.916 \| good	15.765 \| good	0.272 \| good	3.786 \| good	0.152 \| good
2025-10-24T05:00:00.000Z	11 \| good	0.188 \| good	0.322 \| good	11.637 \| good	0.26 \| good	3.497 \| good	0.149 \| 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?