What is the current level of PM10 in Monfort Heights, Ohio?

Monfort Heights, Ohio currently has a PM10 concentration of 13.336 μg/m3.

What is the current level of sulfur dioxide (SO2) in Monfort Heights, Ohio?

The current sulfur dioxide (SO2) concentration in Monfort Heights, Ohio is 2.187 ppb.

What is the current level of ozone (O3) in Monfort Heights, Ohio?

Monfort Heights, Ohio currently has an ozone (O3) concentration of 31.059 ppm.

What is the current level of nitrogen dioxide (NO2) in Monfort Heights, Ohio?

The current level of nitrogen dioxide (NO2) in Monfort Heights, Ohio is 4.789 ppb.

Current air quality index in Monfort Heights, Ohio today

Name: Live air pollution levels in Monfort Heights, Ohio today
Creator: Ambee

Stay updated with real-time air quality in Monfort Heights, Ohio 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

Monfort Heights, Ohio

Last updated: ... (Local time)

Common air pollutants in Monfort Heights, Ohio

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.88 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.34 μg/m³

155

255

425

605+

Ozone (O₃)

31.06 ppb

201

201+

Sulfur Dioxide (SO₂)

2.19 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.79 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Monfort Heights, Ohio

Get Live Pollen Counts

Monfort Heights, Ohio

Scroll To Air Quality Map

Track live Monfort Heights, Ohio air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	17 \| good	3.423 \| good	14.093 \| good	18.106 \| good	1.555 \| good	9.231 \| good	0.188 \| good
2025-10-20T07:00:00.000Z	18 \| good	3.441 \| good	14.931 \| good	18.785 \| good	1.617 \| good	10.554 \| good	0.19 \| good
2025-10-20T08:00:00.000Z	19 \| good	3.028 \| good	12.242 \| good	19.564 \| good	1.555 \| good	11.454 \| good	0.115 \| good
2025-10-20T09:00:00.000Z	18 \| good	3.219 \| good	13.418 \| good	18.726 \| good	1.492 \| good	13.073 \| good	0.198 \| good
2025-10-20T10:00:00.000Z	22 \| good	4.01 \| good	17.301 \| good	13.208 \| good	1.538 \| good	12.555 \| good	0.19 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.638 \| good	20.17 \| good	8.682 \| good	1.682 \| good	13.196 \| good	0.351 \| good
2025-10-20T12:00:00.000Z	27 \| good	5.072 \| good	21.764 \| good	9.1 \| good	1.438 \| good	18.225 \| good	0.414 \| good
2025-10-20T13:00:00.000Z	33 \| good	5.53 \| good	23.818 \| good	9.465 \| good	1.347 \| good	17.418 \| good	0.331 \| good
2025-10-20T14:00:00.000Z	33 \| good	5.866 \| good	25.671 \| good	9.73 \| good	1.161 \| good	16.662 \| good	0.325 \| good
2025-10-20T15:00:00.000Z	33 \| good	6.284 \| good	28.104 \| good	10.84 \| good	1.196 \| good	14.086 \| good	0.217 \| good
2025-10-20T16:00:00.000Z	33 \| good	5.83 \| good	25.767 \| good	13.983 \| good	1.586 \| good	13.205 \| good	0.214 \| good
2025-10-20T17:00:00.000Z	27 \| good	4.927 \| good	21.693 \| good	12.196 \| good	2.285 \| good	13.59 \| good	0.208 \| good
2025-10-20T18:00:00.000Z	33 \| good	5.711 \| good	26.012 \| good	17.136 \| good	2.675 \| good	9.274 \| good	0.208 \| good
2025-10-20T19:00:00.000Z	27 \| good	5.354 \| good	23.659 \| good	23.415 \| good	1.837 \| good	5.722 \| good	0.155 \| good
2025-10-20T20:00:00.000Z	26 \| good	3.705 \| good	16.325 \| good	27.633 \| good	2.247 \| good	5.744 \| good	0.155 \| good
2025-10-20T21:00:00.000Z	29 \| good	2.155 \| good	9.279 \| good	31.106 \| good	1.63 \| good	6.055 \| good	0.158 \| good
2025-10-20T22:00:00.000Z	31 \| good	1.39 \| good	5.561 \| good	33.904 \| good	1.224 \| good	4.999 \| good	0.208 \| good
2025-10-20T23:00:00.000Z	29 \| good	2.266 \| good	10.104 \| good	30.639 \| good	1.631 \| good	6.374 \| good	0.162 \| good
2025-10-21T00:00:00.000Z	26 \| good	1.391 \| good	5.954 \| good	27.696 \| good	1.493 \| good	10.516 \| good	0.214 \| good
2025-10-21T01:00:00.000Z	20 \| good	2.424 \| good	9.833 \| good	21.389 \| good	1.346 \| good	21.283 \| good	0.266 \| good
2025-10-21T02:00:00.000Z	23 \| good	3.091 \| good	13.492 \| good	22.793 \| good	1.221 \| good	24.033 \| good	0.319 \| good
2025-10-21T03:00:00.000Z	44 \| good	8.058 \| good	35.057 \| good	23.871 \| good	1.64 \| good	3.95 \| good	0.154 \| good
2025-10-21T04:00:00.000Z	14 \| good	2.432 \| good	10.329 \| good	14.799 \| good	1.33 \| good	14.458 \| good	0.211 \| good
2025-10-21T05:00:00.000Z	16 \| good	2.526 \| good	10.765 \| good	15.251 \| good	1.369 \| good	17.464 \| good	0.263 \| good
2025-10-21T06:00:00.000Z	20 \| good	2.783 \| good	11.106 \| good	21.637 \| good	1.281 \| good	13.883 \| good	0.205 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.716 \| good	16.193 \| good	23.4 \| good	1.367 \| good	15.37 \| good	0.204 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.623 \| good	15.683 \| good	24.305 \| good	1.316 \| good	15.785 \| good	0.207 \| good
2025-10-21T09:00:00.000Z	24 \| good	2.898 \| good	11.693 \| good	26.235 \| good	1.398 \| good	13.669 \| good	0.186 \| good
2025-10-21T10:00:00.000Z	20 \| good	3.254 \| good	13.881 \| good	22.29 \| good	1.641 \| good	6.529 \| good	0.198 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.89 \| good	16.261 \| good	23.419 \| good	1.748 \| good	9.229 \| good	0.186 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.343 \| good	18.846 \| good	23.465 \| good	2.065 \| good	11.378 \| good	0.23 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.34 \| good	18.121 \| good	24.339 \| good	1.905 \| good	14.485 \| good	0.281 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.71 \| good	19.555 \| good	25.865 \| good	1.842 \| good	17.531 \| good	0.325 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.812 \| good	25.591 \| good	27.638 \| good	1.93 \| good	14.927 \| good	0.282 \| good
2025-10-21T16:00:00.000Z	28 \| good	5.19 \| good	22.146 \| good	29.644 \| good	1.571 \| good	12.379 \| good	0.252 \| good
2025-10-21T17:00:00.000Z	28 \| good	3.974 \| good	17.556 \| good	30.054 \| good	1.51 \| good	3.685 \| good	0.279 \| good
2025-10-21T18:00:00.000Z	30 \| good	2.961 \| good	12.13 \| good	32.159 \| good	2.179 \| good	4.455 \| good	0.156 \| good
2025-10-21T19:00:00.000Z	34 \| good	2.229 \| good	9.53 \| good	36.838 \| good	1.886 \| good	3.124 \| good	0.156 \| good
2025-10-21T20:00:00.000Z	34 \| good	1.398 \| good	5.807 \| good	37.069 \| good	1.915 \| good	4.267 \| good	0.197 \| good
2025-10-21T21:00:00.000Z	36 \| good	1.191 \| good	4.917 \| good	38.838 \| good	1.666 \| good	4.065 \| good	0.152 \| good
2025-10-21T22:00:00.000Z	35 \| good	1.662 \| good	7.441 \| good	38.089 \| good	1.664 \| good	4.551 \| good	0.152 \| good
2025-10-21T23:00:00.000Z	32 \| good	2.391 \| good	10.702 \| good	34.978 \| good	1.892 \| good	4.584 \| good	0.156 \| good
2025-10-22T00:00:00.000Z	32 \| good	2.535 \| good	10.857 \| good	34.53 \| good	1.779 \| good	10.069 \| good	0.208 \| good
2025-10-22T01:00:00.000Z	33 \| good	2.833 \| good	12.162 \| good	36.389 \| good	1.842 \| good	6.776 \| good	0.156 \| good
2025-10-22T02:00:00.000Z	35 \| good	2.836 \| good	12.387 \| good	37.814 \| good	1.446 \| good	6.624 \| good	0.152 \| good
2025-10-22T03:00:00.000Z	23 \| good	2.174 \| good	9.057 \| good	24.555 \| good	0.991 \| good	2.267 \| good	0.128 \| good
2025-10-22T04:00:00.000Z	31 \| good	2.13 \| good	9.727 \| good	33.718 \| good	1.687 \| good	4.965 \| good	0.156 \| good
2025-10-22T05:00:00.000Z	30 \| good	2.952 \| good	12.522 \| good	31.635 \| good	2.532 \| good	5.09 \| good	0.156 \| good
2025-10-22T05:00:00.000Z	29 \| good	2.885 \| good	13.336 \| good	31.059 \| good	2.187 \| good	4.789 \| good	0.165 \| good
2025-10-22T06:00:00.000Z	25 \| good	2.421 \| good	9.869 \| good	26.703 \| good	0.896 \| good	2.031 \| good	0.127 \| good
2025-10-22T07:00:00.000Z	25 \| good	2.045 \| good	8.166 \| good	27.463 \| good	0.866 \| good	2.055 \| good	0.127 \| good
2025-10-22T08:00:00.000Z	23 \| good	1.875 \| good	7.982 \| good	25.488 \| good	0.836 \| good	2.078 \| good	0.127 \| good
2025-10-22T09:00:00.000Z	22 \| good	2.664 \| good	10.854 \| good	23.777 \| good	0.805 \| good	2.102 \| good	0.127 \| good
2025-10-22T10:00:00.000Z	19 \| good	1.673 \| good	6.985 \| good	20.633 \| good	0.819 \| good	2.336 \| good	0.128 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.168 \| good	8.84 \| good	20.952 \| good	0.833 \| good	2.571 \| good	0.129 \| good
2025-10-22T12:00:00.000Z	19 \| good	2.282 \| good	9.235 \| good	20.898 \| good	0.846 \| good	2.806 \| good	0.13 \| good
2025-10-22T13:00:00.000Z	19 \| good	2.664 \| good	11.054 \| good	20.989 \| good	0.862 \| good	2.484 \| good	0.128 \| good
2025-10-22T14:00:00.000Z	22 \| good	1.791 \| good	7.228 \| good	23.547 \| good	0.878 \| good	2.162 \| good	0.125 \| good
2025-10-22T15:00:00.000Z	24 \| good	1.875 \| good	7.916 \| good	25.752 \| good	0.893 \| good	1.839 \| good	0.123 \| good
2025-10-22T16:00:00.000Z	24 \| good	3.38 \| good	14.958 \| good	25.545 \| good	0.838 \| good	1.688 \| good	0.122 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.05 \| good	12.232 \| good	28.526 \| good	0.783 \| good	1.536 \| good	0.121 \| good
2025-10-22T18:00:00.000Z	26 \| good	1.987 \| good	8.058 \| good	28.483 \| good	0.729 \| good	1.384 \| good	0.119 \| good
2025-10-22T19:00:00.000Z	28 \| good	1.996 \| good	7.971 \| good	30.241 \| good	0.724 \| good	1.364 \| good	0.119 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.122 \| good	13.618 \| good	30.962 \| good	0.72 \| good	1.343 \| good	0.118 \| good
2025-10-22T21:00:00.000Z	29 \| good	3.249 \| good	13.719 \| good	31.177 \| good	0.716 \| good	1.323 \| good	0.117 \| good
2025-10-22T22:00:00.000Z	30 \| good	3.333 \| good	14.419 \| good	31.708 \| good	0.777 \| good	1.957 \| good	0.121 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.362 \| good	14.444 \| good	26.057 \| good	0.838 \| good	2.591 \| good	0.124 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.763 \| good	16.153 \| good	23.072 \| good	0.898 \| good	3.225 \| good	0.128 \| good
2025-10-23T01:00:00.000Z	22 \| good	4.379 \| good	19.151 \| good	22.092 \| good	0.896 \| good	3.472 \| good	0.129 \| good
2025-10-23T02:00:00.000Z	20 \| good	3.183 \| good	14.033 \| good	22.223 \| good	0.894 \| good	3.719 \| good	0.131 \| good
2025-10-23T03:00:00.000Z	22 \| good	3.788 \| good	16.287 \| good	23.801 \| good	0.891 \| good	3.966 \| good	0.133 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.812 \| good	20.954 \| good	22.394 \| good	0.87 \| good	3.962 \| good	0.133 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.227 \| good	22.294 \| good	19.677 \| good	0.849 \| good	3.958 \| good	0.134 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.509 \| good	23.387 \| good	17.185 \| good	0.827 \| good	3.954 \| good	0.134 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.693 \| good	29.876 \| good	14.414 \| good	0.815 \| good	3.815 \| good	0.133 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.778 \| good	29.945 \| good	10.775 \| good	0.802 \| good	3.675 \| good	0.132 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.513 \| good	28.852 \| good	8.993 \| good	0.79 \| good	3.535 \| good	0.131 \| good
2025-10-23T10:00:00.000Z	38 \| good	6.763 \| good	29.98 \| good	7.656 \| good	0.788 \| good	4.061 \| good	0.135 \| good
2025-10-23T11:00:00.000Z	38 \| good	6.504 \| good	28.994 \| good	7.022 \| good	0.786 \| good	4.587 \| good	0.138 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.296 \| good	23.242 \| good	7.034 \| good	0.785 \| good	5.113 \| good	0.142 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.886 \| good	21.31 \| good	8.807 \| good	0.987 \| good	4.484 \| good	0.143 \| good
2025-10-23T14:00:00.000Z	16 \| good	3.361 \| good	14.898 \| good	15.773 \| good	1.19 \| good	3.855 \| good	0.144 \| good
2025-10-23T15:00:00.000Z	21 \| good	2.73 \| good	11.148 \| good	23.101 \| good	1.392 \| good	3.226 \| good	0.145 \| good
2025-10-23T16:00:00.000Z	27 \| good	3.69 \| good	16.106 \| good	28.618 \| good	1.288 \| good	2.636 \| good	0.139 \| good
2025-10-23T17:00:00.000Z	31 \| good	2.953 \| good	12.021 \| good	34.283 \| good	1.185 \| good	2.046 \| good	0.133 \| good
2025-10-23T18:00:00.000Z	32 \| good	2.015 \| good	8.091 \| good	35.244 \| good	1.081 \| good	1.455 \| good	0.127 \| good
2025-10-23T19:00:00.000Z	32 \| good	1.887 \| good	7.86 \| good	34.761 \| good	1.036 \| good	1.468 \| good	0.125 \| good
2025-10-23T20:00:00.000Z	33 \| good	2.238 \| good	8.931 \| good	36.384 \| good	0.991 \| good	1.48 \| good	0.124 \| good
2025-10-23T21:00:00.000Z	31 \| good	2.075 \| good	8.189 \| good	34.162 \| good	0.947 \| good	1.493 \| good	0.122 \| good
2025-10-23T22:00:00.000Z	29 \| good	3.291 \| good	14.181 \| good	30.637 \| good	0.919 \| good	3.505 \| good	0.137 \| good
2025-10-23T23:00:00.000Z	22 \| good	4.005 \| good	17.597 \| good	19.382 \| good	0.892 \| good	5.517 \| good	0.152 \| good
2025-10-24T00:00:00.000Z	33 \| good	5.582 \| good	24.028 \| good	16.719 \| good	0.865 \| good	7.529 \| good	0.167 \| good
2025-10-24T01:00:00.000Z	38 \| good	6.623 \| good	29.797 \| good	18.172 \| good	0.817 \| good	7.917 \| good	0.17 \| good
2025-10-24T02:00:00.000Z	33 \| good	5.649 \| good	24.613 \| good	16.313 \| good	0.769 \| good	8.305 \| good	0.173 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.246 \| good	22.74 \| good	13.824 \| good	0.721 \| good	8.693 \| good	0.176 \| good
2025-10-24T04:00:00.000Z	33 \| good	5.979 \| good	26.289 \| good	13.032 \| good	0.692 \| good	8.459 \| good	0.176 \| good
2025-10-24T05:00:00.000Z	27 \| good	5.271 \| good	22.769 \| good	13.399 \| good	0.662 \| good	8.225 \| good	0.175 \| good

Monfort Heights

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Monfort Heights, Ohio

0.19ppm

How accurate is Ohio, USA air quality data?

The air quality data for Ohio, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

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 does the air quality data for Monfort Heights, Ohio get updated?

Air quality updates for Monfort Heights, Ohio are available every hour.

What time in the past 24 hours saw the poorest air quality in Monfort Heights, Ohio?

Monfort Heights, Ohio experienced its worst air quality at 09:00:00, 2025-10-21.

When was air quality in Monfort Heights, Ohio the best over the past 24 hours?

The best air quality in Monfort Heights, Ohio was observed at 05:00:00 on 2025-10-21.

What is the air quality in Monfort Heights, Ohio right now?

The air quality in Monfort Heights, Ohio right now is Good, with an AQI of 29.

What pollutant is most frequently found in Monfort Heights, Ohio?

In Monfort Heights, Ohio, O3 is the most frequently found pollutant.

What can I do if the air quality in Monfort Heights, Ohio is poor?

When air quality in Monfort Heights, Ohio is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Monfort Heights, Ohio right now?

Monfort Heights, Ohio currently has a PM_2.5 concentration of 2.885 μg/m³.

What is the current level of PM₁₀ in Monfort Heights, Ohio?

Monfort Heights, Ohio currently has a PM₁₀ concentration of 13.336 μg/m³.

What is the current level of carbon monoxide (CO) in Monfort Heights, Ohio?

The current carbon monoxide (CO) level in Monfort Heights, Ohio is 0.165 ppm.

What is the current level of sulfur dioxide (SO₂) in Monfort Heights, Ohio?

The current sulfur dioxide (SO₂) concentration in Monfort Heights, Ohio is 2.187 ppb.

What is the current level of ozone (O₃) in Monfort Heights, Ohio?

Monfort Heights, Ohio currently has an ozone (O₃) concentration of 31.059 ppm.

What is the current level of nitrogen dioxide (NO₂) in Monfort Heights, Ohio?

The current level of nitrogen dioxide (NO₂) in Monfort Heights, Ohio is 4.789 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	17 \| good	3.423 \| good	14.093 \| good	18.106 \| good	1.555 \| good	9.231 \| good	0.188 \| good
2025-10-20T07:00:00.000Z	18 \| good	3.441 \| good	14.931 \| good	18.785 \| good	1.617 \| good	10.554 \| good	0.19 \| good
2025-10-20T08:00:00.000Z	19 \| good	3.028 \| good	12.242 \| good	19.564 \| good	1.555 \| good	11.454 \| good	0.115 \| good
2025-10-20T09:00:00.000Z	18 \| good	3.219 \| good	13.418 \| good	18.726 \| good	1.492 \| good	13.073 \| good	0.198 \| good
2025-10-20T10:00:00.000Z	22 \| good	4.01 \| good	17.301 \| good	13.208 \| good	1.538 \| good	12.555 \| good	0.19 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.638 \| good	20.17 \| good	8.682 \| good	1.682 \| good	13.196 \| good	0.351 \| good
2025-10-20T12:00:00.000Z	27 \| good	5.072 \| good	21.764 \| good	9.1 \| good	1.438 \| good	18.225 \| good	0.414 \| good
2025-10-20T13:00:00.000Z	33 \| good	5.53 \| good	23.818 \| good	9.465 \| good	1.347 \| good	17.418 \| good	0.331 \| good
2025-10-20T14:00:00.000Z	33 \| good	5.866 \| good	25.671 \| good	9.73 \| good	1.161 \| good	16.662 \| good	0.325 \| good
2025-10-20T15:00:00.000Z	33 \| good	6.284 \| good	28.104 \| good	10.84 \| good	1.196 \| good	14.086 \| good	0.217 \| good
2025-10-20T16:00:00.000Z	33 \| good	5.83 \| good	25.767 \| good	13.983 \| good	1.586 \| good	13.205 \| good	0.214 \| good
2025-10-20T17:00:00.000Z	27 \| good	4.927 \| good	21.693 \| good	12.196 \| good	2.285 \| good	13.59 \| good	0.208 \| good
2025-10-20T18:00:00.000Z	33 \| good	5.711 \| good	26.012 \| good	17.136 \| good	2.675 \| good	9.274 \| good	0.208 \| good
2025-10-20T19:00:00.000Z	27 \| good	5.354 \| good	23.659 \| good	23.415 \| good	1.837 \| good	5.722 \| good	0.155 \| good
2025-10-20T20:00:00.000Z	26 \| good	3.705 \| good	16.325 \| good	27.633 \| good	2.247 \| good	5.744 \| good	0.155 \| good
2025-10-20T21:00:00.000Z	29 \| good	2.155 \| good	9.279 \| good	31.106 \| good	1.63 \| good	6.055 \| good	0.158 \| good
2025-10-20T22:00:00.000Z	31 \| good	1.39 \| good	5.561 \| good	33.904 \| good	1.224 \| good	4.999 \| good	0.208 \| good
2025-10-20T23:00:00.000Z	29 \| good	2.266 \| good	10.104 \| good	30.639 \| good	1.631 \| good	6.374 \| good	0.162 \| good
2025-10-21T00:00:00.000Z	26 \| good	1.391 \| good	5.954 \| good	27.696 \| good	1.493 \| good	10.516 \| good	0.214 \| good
2025-10-21T01:00:00.000Z	20 \| good	2.424 \| good	9.833 \| good	21.389 \| good	1.346 \| good	21.283 \| good	0.266 \| good
2025-10-21T02:00:00.000Z	23 \| good	3.091 \| good	13.492 \| good	22.793 \| good	1.221 \| good	24.033 \| good	0.319 \| good
2025-10-21T03:00:00.000Z	44 \| good	8.058 \| good	35.057 \| good	23.871 \| good	1.64 \| good	3.95 \| good	0.154 \| good
2025-10-21T04:00:00.000Z	14 \| good	2.432 \| good	10.329 \| good	14.799 \| good	1.33 \| good	14.458 \| good	0.211 \| good
2025-10-21T05:00:00.000Z	16 \| good	2.526 \| good	10.765 \| good	15.251 \| good	1.369 \| good	17.464 \| good	0.263 \| good
2025-10-21T06:00:00.000Z	20 \| good	2.783 \| good	11.106 \| good	21.637 \| good	1.281 \| good	13.883 \| good	0.205 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.716 \| good	16.193 \| good	23.4 \| good	1.367 \| good	15.37 \| good	0.204 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.623 \| good	15.683 \| good	24.305 \| good	1.316 \| good	15.785 \| good	0.207 \| good
2025-10-21T09:00:00.000Z	24 \| good	2.898 \| good	11.693 \| good	26.235 \| good	1.398 \| good	13.669 \| good	0.186 \| good
2025-10-21T10:00:00.000Z	20 \| good	3.254 \| good	13.881 \| good	22.29 \| good	1.641 \| good	6.529 \| good	0.198 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.89 \| good	16.261 \| good	23.419 \| good	1.748 \| good	9.229 \| good	0.186 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.343 \| good	18.846 \| good	23.465 \| good	2.065 \| good	11.378 \| good	0.23 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.34 \| good	18.121 \| good	24.339 \| good	1.905 \| good	14.485 \| good	0.281 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.71 \| good	19.555 \| good	25.865 \| good	1.842 \| good	17.531 \| good	0.325 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.812 \| good	25.591 \| good	27.638 \| good	1.93 \| good	14.927 \| good	0.282 \| good
2025-10-21T16:00:00.000Z	28 \| good	5.19 \| good	22.146 \| good	29.644 \| good	1.571 \| good	12.379 \| good	0.252 \| good
2025-10-21T17:00:00.000Z	28 \| good	3.974 \| good	17.556 \| good	30.054 \| good	1.51 \| good	3.685 \| good	0.279 \| good
2025-10-21T18:00:00.000Z	30 \| good	2.961 \| good	12.13 \| good	32.159 \| good	2.179 \| good	4.455 \| good	0.156 \| good
2025-10-21T19:00:00.000Z	34 \| good	2.229 \| good	9.53 \| good	36.838 \| good	1.886 \| good	3.124 \| good	0.156 \| good
2025-10-21T20:00:00.000Z	34 \| good	1.398 \| good	5.807 \| good	37.069 \| good	1.915 \| good	4.267 \| good	0.197 \| good
2025-10-21T21:00:00.000Z	36 \| good	1.191 \| good	4.917 \| good	38.838 \| good	1.666 \| good	4.065 \| good	0.152 \| good
2025-10-21T22:00:00.000Z	35 \| good	1.662 \| good	7.441 \| good	38.089 \| good	1.664 \| good	4.551 \| good	0.152 \| good
2025-10-21T23:00:00.000Z	32 \| good	2.391 \| good	10.702 \| good	34.978 \| good	1.892 \| good	4.584 \| good	0.156 \| good
2025-10-22T00:00:00.000Z	32 \| good	2.535 \| good	10.857 \| good	34.53 \| good	1.779 \| good	10.069 \| good	0.208 \| good
2025-10-22T01:00:00.000Z	33 \| good	2.833 \| good	12.162 \| good	36.389 \| good	1.842 \| good	6.776 \| good	0.156 \| good
2025-10-22T02:00:00.000Z	35 \| good	2.836 \| good	12.387 \| good	37.814 \| good	1.446 \| good	6.624 \| good	0.152 \| good
2025-10-22T03:00:00.000Z	23 \| good	2.174 \| good	9.057 \| good	24.555 \| good	0.991 \| good	2.267 \| good	0.128 \| good
2025-10-22T04:00:00.000Z	31 \| good	2.13 \| good	9.727 \| good	33.718 \| good	1.687 \| good	4.965 \| good	0.156 \| good
2025-10-22T05:00:00.000Z	30 \| good	2.952 \| good	12.522 \| good	31.635 \| good	2.532 \| good	5.09 \| good	0.156 \| good
2025-10-22T05:00:00.000Z	29 \| good	2.885 \| good	13.336 \| good	31.059 \| good	2.187 \| good	4.789 \| good	0.165 \| good
2025-10-22T06:00:00.000Z	25 \| good	2.421 \| good	9.869 \| good	26.703 \| good	0.896 \| good	2.031 \| good	0.127 \| good
2025-10-22T07:00:00.000Z	25 \| good	2.045 \| good	8.166 \| good	27.463 \| good	0.866 \| good	2.055 \| good	0.127 \| good
2025-10-22T08:00:00.000Z	23 \| good	1.875 \| good	7.982 \| good	25.488 \| good	0.836 \| good	2.078 \| good	0.127 \| good
2025-10-22T09:00:00.000Z	22 \| good	2.664 \| good	10.854 \| good	23.777 \| good	0.805 \| good	2.102 \| good	0.127 \| good
2025-10-22T10:00:00.000Z	19 \| good	1.673 \| good	6.985 \| good	20.633 \| good	0.819 \| good	2.336 \| good	0.128 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.168 \| good	8.84 \| good	20.952 \| good	0.833 \| good	2.571 \| good	0.129 \| good
2025-10-22T12:00:00.000Z	19 \| good	2.282 \| good	9.235 \| good	20.898 \| good	0.846 \| good	2.806 \| good	0.13 \| good
2025-10-22T13:00:00.000Z	19 \| good	2.664 \| good	11.054 \| good	20.989 \| good	0.862 \| good	2.484 \| good	0.128 \| good
2025-10-22T14:00:00.000Z	22 \| good	1.791 \| good	7.228 \| good	23.547 \| good	0.878 \| good	2.162 \| good	0.125 \| good
2025-10-22T15:00:00.000Z	24 \| good	1.875 \| good	7.916 \| good	25.752 \| good	0.893 \| good	1.839 \| good	0.123 \| good
2025-10-22T16:00:00.000Z	24 \| good	3.38 \| good	14.958 \| good	25.545 \| good	0.838 \| good	1.688 \| good	0.122 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.05 \| good	12.232 \| good	28.526 \| good	0.783 \| good	1.536 \| good	0.121 \| good
2025-10-22T18:00:00.000Z	26 \| good	1.987 \| good	8.058 \| good	28.483 \| good	0.729 \| good	1.384 \| good	0.119 \| good
2025-10-22T19:00:00.000Z	28 \| good	1.996 \| good	7.971 \| good	30.241 \| good	0.724 \| good	1.364 \| good	0.119 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.122 \| good	13.618 \| good	30.962 \| good	0.72 \| good	1.343 \| good	0.118 \| good
2025-10-22T21:00:00.000Z	29 \| good	3.249 \| good	13.719 \| good	31.177 \| good	0.716 \| good	1.323 \| good	0.117 \| good
2025-10-22T22:00:00.000Z	30 \| good	3.333 \| good	14.419 \| good	31.708 \| good	0.777 \| good	1.957 \| good	0.121 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.362 \| good	14.444 \| good	26.057 \| good	0.838 \| good	2.591 \| good	0.124 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.763 \| good	16.153 \| good	23.072 \| good	0.898 \| good	3.225 \| good	0.128 \| good
2025-10-23T01:00:00.000Z	22 \| good	4.379 \| good	19.151 \| good	22.092 \| good	0.896 \| good	3.472 \| good	0.129 \| good
2025-10-23T02:00:00.000Z	20 \| good	3.183 \| good	14.033 \| good	22.223 \| good	0.894 \| good	3.719 \| good	0.131 \| good
2025-10-23T03:00:00.000Z	22 \| good	3.788 \| good	16.287 \| good	23.801 \| good	0.891 \| good	3.966 \| good	0.133 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.812 \| good	20.954 \| good	22.394 \| good	0.87 \| good	3.962 \| good	0.133 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.227 \| good	22.294 \| good	19.677 \| good	0.849 \| good	3.958 \| good	0.134 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.509 \| good	23.387 \| good	17.185 \| good	0.827 \| good	3.954 \| good	0.134 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.693 \| good	29.876 \| good	14.414 \| good	0.815 \| good	3.815 \| good	0.133 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.778 \| good	29.945 \| good	10.775 \| good	0.802 \| good	3.675 \| good	0.132 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.513 \| good	28.852 \| good	8.993 \| good	0.79 \| good	3.535 \| good	0.131 \| good
2025-10-23T10:00:00.000Z	38 \| good	6.763 \| good	29.98 \| good	7.656 \| good	0.788 \| good	4.061 \| good	0.135 \| good
2025-10-23T11:00:00.000Z	38 \| good	6.504 \| good	28.994 \| good	7.022 \| good	0.786 \| good	4.587 \| good	0.138 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.296 \| good	23.242 \| good	7.034 \| good	0.785 \| good	5.113 \| good	0.142 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.886 \| good	21.31 \| good	8.807 \| good	0.987 \| good	4.484 \| good	0.143 \| good
2025-10-23T14:00:00.000Z	16 \| good	3.361 \| good	14.898 \| good	15.773 \| good	1.19 \| good	3.855 \| good	0.144 \| good
2025-10-23T15:00:00.000Z	21 \| good	2.73 \| good	11.148 \| good	23.101 \| good	1.392 \| good	3.226 \| good	0.145 \| good
2025-10-23T16:00:00.000Z	27 \| good	3.69 \| good	16.106 \| good	28.618 \| good	1.288 \| good	2.636 \| good	0.139 \| good
2025-10-23T17:00:00.000Z	31 \| good	2.953 \| good	12.021 \| good	34.283 \| good	1.185 \| good	2.046 \| good	0.133 \| good
2025-10-23T18:00:00.000Z	32 \| good	2.015 \| good	8.091 \| good	35.244 \| good	1.081 \| good	1.455 \| good	0.127 \| good
2025-10-23T19:00:00.000Z	32 \| good	1.887 \| good	7.86 \| good	34.761 \| good	1.036 \| good	1.468 \| good	0.125 \| good
2025-10-23T20:00:00.000Z	33 \| good	2.238 \| good	8.931 \| good	36.384 \| good	0.991 \| good	1.48 \| good	0.124 \| good
2025-10-23T21:00:00.000Z	31 \| good	2.075 \| good	8.189 \| good	34.162 \| good	0.947 \| good	1.493 \| good	0.122 \| good
2025-10-23T22:00:00.000Z	29 \| good	3.291 \| good	14.181 \| good	30.637 \| good	0.919 \| good	3.505 \| good	0.137 \| good
2025-10-23T23:00:00.000Z	22 \| good	4.005 \| good	17.597 \| good	19.382 \| good	0.892 \| good	5.517 \| good	0.152 \| good
2025-10-24T00:00:00.000Z	33 \| good	5.582 \| good	24.028 \| good	16.719 \| good	0.865 \| good	7.529 \| good	0.167 \| good
2025-10-24T01:00:00.000Z	38 \| good	6.623 \| good	29.797 \| good	18.172 \| good	0.817 \| good	7.917 \| good	0.17 \| good
2025-10-24T02:00:00.000Z	33 \| good	5.649 \| good	24.613 \| good	16.313 \| good	0.769 \| good	8.305 \| good	0.173 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.246 \| good	22.74 \| good	13.824 \| good	0.721 \| good	8.693 \| good	0.176 \| good
2025-10-24T04:00:00.000Z	33 \| good	5.979 \| good	26.289 \| good	13.032 \| good	0.692 \| good	8.459 \| good	0.176 \| good
2025-10-24T05:00:00.000Z	27 \| good	5.271 \| good	22.769 \| good	13.399 \| good	0.662 \| good	8.225 \| good	0.175 \| good

Current air quality index in Monfort Heights, Ohio today

Common air pollutants in Monfort Heights, Ohio

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Monfort Heights, Ohio air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Monfort Heights, Ohio

Air quality in nearby cities

Bridgetown, Ohio

Dent, Ohio

White Oak, Ohio

Mack, Ohio

Northbrook, Ohio

Finneytown, Ohio

How accurate is Ohio, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for Monfort Heights, Ohio get updated?

What time in the past 24 hours saw the poorest air quality in Monfort Heights, Ohio?

When was air quality in Monfort Heights, Ohio the best over the past 24 hours?

What is the air quality in Monfort Heights, Ohio right now?

What pollutant is most frequently found in Monfort Heights, Ohio?

What can I do if the air quality in Monfort Heights, Ohio is poor?

What is the PM2.5 concentration in Monfort Heights, Ohio right now?

What is the current level of PM10 in Monfort Heights, Ohio?

What is the current level of carbon monoxide (CO) in Monfort Heights, Ohio?

What is the current level of sulfur dioxide (SO2) in Monfort Heights, Ohio?

What is the current level of ozone (O3) in Monfort Heights, Ohio?

What is the current level of nitrogen dioxide (NO2) in Monfort Heights, Ohio?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Monfort Heights, Ohio right now?

What is the current level of PM₁₀ in Monfort Heights, Ohio?

What is the current level of sulfur dioxide (SO₂) in Monfort Heights, Ohio?

What is the current level of ozone (O₃) in Monfort Heights, Ohio?

What is the current level of nitrogen dioxide (NO₂) in Monfort Heights, Ohio?