What is the current concentration of PM10 in Yorktown, Indiana?

The current PM10 concentration at Yorktown, Indiana is 11.124 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Yorktown, Indiana?

The current sulfur dioxide (SO2) concentration at Yorktown, Indiana is 1.437 ppb.

What is the current concentration of ozone (O3) in Yorktown, Indiana?

The current ozone (O3) concentration at Yorktown, Indiana is 22.897 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Yorktown, Indiana?

The current nitrogen dioxide (NO2) concentration at Yorktown, Indiana is 6.641 ppb.

Yorktown, Indiana live air quality index now

Q: What is the current concentration of PM2.5 in Yorktown, Indiana?

The current PM2.5 concentration at Yorktown, Indiana is 2.581 μg/m3.

Stay updated with real-time air quality in Yorktown, 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

Yorktown, Indiana

Last updated: ... (Local time)

Major air pollutants in Yorktown, Indiana

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.58 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.12 μg/m³

155

255

425

605+

Ozone (O₃)

22.90 ppb

201

201+

Sulfur Dioxide (SO₂)

1.44 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.64 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.23 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Yorktown, Indiana

Get Live Pollen Counts

Yorktown, Indiana

Scroll To Air Quality Map

Track live Yorktown, Indiana air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T16:00:00.000Z	16 \| good	3.3 \| good	15 \| good	15.605 \| good	1.23 \| good	13.738 \| good	0.268 \| good
2025-10-20T17:00:00.000Z	16 \| good	3.3 \| good	15 \| good	15.988 \| good	1.755 \| good	10.409 \| good	0.221 \| good
2025-10-20T18:00:00.000Z	19 \| good	3.1 \| good	14 \| good	21 \| good	1.705 \| good	6.54 \| good	0.198 \| good
2025-10-20T19:00:00.000Z	22 \| good	2.9 \| good	12 \| good	23.798 \| good	1.244 \| good	5.178 \| good	0.184 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.5 \| good	10 \| good	29.335 \| good	2.016 \| good	5.062 \| good	0.184 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.4 \| good	10 \| good	32.817 \| good	1.61 \| good	5.584 \| good	0.184 \| good
2025-10-20T22:00:00.000Z	27 \| good	2.4 \| good	10 \| good	29.241 \| good	1.587 \| good	4.446 \| good	0.198 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.4 \| good	10 \| good	28.8 \| good	1.338 \| good	5.632 \| good	0.184 \| good
2025-10-21T00:00:00.000Z	28 \| good	2.6 \| good	11 \| good	29.631 \| good	1.202 \| good	5.455 \| good	0.198 \| good
2025-10-21T01:00:00.000Z	29 \| good	2.8 \| good	12 \| good	31.18 \| good	0.702 \| good	5.825 \| good	0.213 \| good
2025-10-21T02:00:00.000Z	26 \| good	3.2 \| good	14 \| good	28.21 \| good	0.839 \| good	6.204 \| good	0.227 \| good
2025-10-21T03:00:00.000Z	24 \| good	0.951 \| good	3.821 \| good	25.918 \| good	1.657 \| good	2.955 \| good	0.149 \| good
2025-10-21T04:00:00.000Z	23 \| good	3 \| good	12 \| good	25.315 \| good	0.932 \| good	6.372 \| good	0.198 \| good
2025-10-21T05:00:00.000Z	27 \| good	2.9 \| good	12 \| good	28.545 \| good	0.968 \| good	8.077 \| good	0.213 \| good
2025-10-21T06:00:00.000Z	26 \| good	2.8 \| good	12 \| good	28.279 \| good	0.811 \| good	6.419 \| good	0.198 \| good
2025-10-21T07:00:00.000Z	27 \| good	2.9 \| good	12 \| good	29.434 \| good	0.862 \| good	6.859 \| good	0.198 \| good
2025-10-21T08:00:00.000Z	24 \| good	3 \| good	12 \| good	26.364 \| good	0.844 \| good	7.469 \| good	0.198 \| good
2025-10-21T09:00:00.000Z	25 \| good	3.1 \| good	14 \| good	26.787 \| good	1.071 \| good	6.898 \| good	0.198 \| good
2025-10-21T10:00:00.000Z	26 \| good	3.2 \| good	14 \| good	27.531 \| good	1.258 \| good	6.069 \| good	0.198 \| good
2025-10-21T11:00:00.000Z	25 \| good	3.4 \| good	15 \| good	27.407 \| good	1.166 \| good	7.194 \| good	0.198 \| good
2025-10-21T12:00:00.000Z	25 \| good	3.4 \| good	15 \| good	26.813 \| good	1.665 \| good	9.46 \| good	0.283 \| good
2025-10-21T13:00:00.000Z	25 \| good	3.4 \| good	15 \| good	26.797 \| good	1.56 \| good	14.495 \| good	0.354 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.5 \| good	16 \| good	23.908 \| good	1.098 \| good	15.889 \| good	0.343 \| good
2025-10-21T15:00:00.000Z	23 \| good	3.6 \| good	16 \| good	24.566 \| good	1.37 \| good	11.517 \| good	0.236 \| good
2025-10-21T16:00:00.000Z	22 \| good	3.5 \| good	16 \| good	21.783 \| good	1.244 \| good	7.264 \| good	0.203 \| good
2025-10-21T17:00:00.000Z	27 \| good	3.5 \| good	16 \| good	28.56 \| good	1.224 \| good	3.728 \| good	0.233 \| good
2025-10-21T18:00:00.000Z	26 \| good	3.4 \| good	15 \| good	28.17 \| good	1.37 \| good	3.203 \| good	0.184 \| good
2025-10-21T19:00:00.000Z	29 \| good	3.2 \| good	14 \| good	31.352 \| good	1.601 \| good	2.981 \| good	0.184 \| good
2025-10-21T20:00:00.000Z	32 \| good	3 \| good	12 \| good	34.909 \| good	2.267 \| good	4.404 \| good	0.222 \| good
2025-10-21T21:00:00.000Z	31 \| good	2.9 \| good	12 \| good	34.154 \| good	1.558 \| good	4.865 \| good	0.207 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.7 \| good	11 \| good	34.425 \| good	1.373 \| good	5.256 \| good	0.207 \| good
2025-10-21T23:00:00.000Z	31 \| good	2.6 \| good	11 \| good	32.599 \| good	2.02 \| good	5.386 \| good	0.207 \| good
2025-10-22T00:00:00.000Z	29 \| good	2.6 \| good	11 \| good	30.899 \| good	1.778 \| good	6.989 \| good	0.221 \| good
2025-10-22T01:00:00.000Z	29 \| good	2.6 \| good	11 \| good	31.294 \| good	1.405 \| good	6.669 \| good	0.207 \| good
2025-10-22T02:00:00.000Z	27 \| good	2.6 \| good	11 \| good	28.909 \| good	1.259 \| good	6.219 \| good	0.207 \| good
2025-10-22T03:00:00.000Z	20 \| good	0.547 \| good	2 \| good	22.152 \| good	0.39 \| good	1.933 \| good	0.13 \| good
2025-10-22T04:00:00.000Z	24 \| good	2.5 \| good	10 \| good	25.741 \| good	1.681 \| good	4.103 \| good	0.207 \| good
2025-10-22T05:00:00.000Z	23 \| good	2.6 \| good	11 \| good	24.955 \| good	2.561 \| good	3.658 \| good	0.184 \| good
2025-10-22T06:00:00.000Z	22 \| good	2.6 \| good	11 \| good	23.879 \| good	2.599 \| good	3.614 \| good	0.188 \| good
2025-10-22T07:00:00.000Z	20 \| good	2.5 \| good	10 \| good	22.46 \| good	2.547 \| good	3.422 \| good	0.188 \| good
2025-10-22T08:00:00.000Z	22 \| good	2.4 \| good	10 \| good	23.716 \| good	1.918 \| good	2.885 \| good	0.188 \| good
2025-10-22T09:00:00.000Z	23 \| good	2.3 \| good	10 \| good	24.514 \| good	1.943 \| good	3.552 \| good	0.198 \| good
2025-10-22T10:00:00.000Z	20 \| good	2.3 \| good	10 \| good	21.983 \| good	1.968 \| good	4.703 \| good	0.198 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.4 \| good	10 \| good	21.028 \| good	1.544 \| good	4.488 \| good	0.237 \| good
2025-10-22T12:00:00.000Z	20 \| good	2.6 \| good	11 \| good	21.544 \| good	1.546 \| good	5.28 \| good	0.255 \| good
2025-10-22T13:00:00.000Z	21 \| good	2.6 \| good	11 \| good	23.451 \| good	1.547 \| good	6.706 \| good	0.283 \| good
2025-10-22T14:00:00.000Z	21 \| good	2.4 \| good	10 \| good	22.979 \| good	1.549 \| good	6.714 \| good	0.221 \| good
2025-10-22T15:00:00.000Z	21 \| good	2.581 \| good	11.124 \| good	22.897 \| good	1.437 \| good	6.641 \| good	0.231 \| good
2025-10-22T16:00:00.000Z	21 \| good	0.941 \| good	3.964 \| good	22.721 \| good	0.236 \| good	1.471 \| good	0.135 \| good
2025-10-22T17:00:00.000Z	24 \| good	1.01 \| good	4.055 \| good	25.699 \| good	0.2 \| good	1.34 \| good	0.132 \| good
2025-10-22T18:00:00.000Z	25 \| good	2.917 \| good	12.048 \| good	27.437 \| good	0.164 \| good	1.208 \| good	0.128 \| good
2025-10-22T19:00:00.000Z	26 \| good	3.81 \| good	16.866 \| good	28.29 \| good	0.157 \| good	1.267 \| good	0.128 \| good
2025-10-22T20:00:00.000Z	28 \| good	3.495 \| good	15.295 \| good	30.317 \| good	0.149 \| good	1.326 \| good	0.127 \| good
2025-10-22T21:00:00.000Z	28 \| good	2.62 \| good	10.866 \| good	30.102 \| good	0.142 \| good	1.384 \| good	0.127 \| good
2025-10-22T22:00:00.000Z	24 \| good	2.117 \| good	8.842 \| good	26.441 \| good	0.18 \| good	1.797 \| good	0.13 \| good
2025-10-22T23:00:00.000Z	23 \| good	2.254 \| good	9.256 \| good	25.163 \| good	0.217 \| good	2.209 \| good	0.133 \| good
2025-10-23T00:00:00.000Z	22 \| good	1.55 \| good	6.272 \| good	24.315 \| good	0.255 \| good	2.621 \| good	0.136 \| good
2025-10-23T01:00:00.000Z	19 \| good	2.85 \| good	12.075 \| good	19.546 \| good	0.316 \| good	2.934 \| good	0.137 \| good
2025-10-23T02:00:00.000Z	22 \| good	4.118 \| good	18.01 \| good	15.638 \| good	0.378 \| good	3.247 \| good	0.139 \| good
2025-10-23T03:00:00.000Z	22 \| good	3.568 \| good	15.574 \| good	14.437 \| good	0.439 \| good	3.559 \| good	0.141 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.884 \| good	17.089 \| good	15.028 \| good	0.471 \| good	3.585 \| good	0.141 \| good
2025-10-23T05:00:00.000Z	16 \| good	2.779 \| good	11.805 \| good	17.153 \| good	0.503 \| good	3.61 \| good	0.141 \| good
2025-10-23T06:00:00.000Z	16 \| good	2.088 \| good	8.541 \| good	16.981 \| good	0.535 \| good	3.635 \| good	0.141 \| good
2025-10-23T07:00:00.000Z	14 \| good	1.098 \| good	4.704 \| good	14.973 \| good	0.536 \| good	3.583 \| good	0.14 \| good
2025-10-23T08:00:00.000Z	13 \| good	0.478 \| good	1.87 \| good	14.309 \| good	0.538 \| good	3.531 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	13 \| good	0.671 \| good	2.296 \| good	13.992 \| good	0.539 \| good	3.479 \| good	0.137 \| good
2025-10-23T10:00:00.000Z	17 \| good	0.434 \| good	1.601 \| good	17.527 \| good	0.543 \| good	3.783 \| good	0.139 \| good
2025-10-23T11:00:00.000Z	12 \| good	0.928 \| good	3.848 \| good	12.901 \| good	0.547 \| good	4.088 \| good	0.141 \| good
2025-10-23T12:00:00.000Z	10 \| good	0.32 \| good	1.035 \| good	10.908 \| good	0.551 \| good	4.392 \| good	0.143 \| good
2025-10-23T13:00:00.000Z	15 \| good	0.328 \| good	1.087 \| good	16.342 \| good	0.636 \| good	3.87 \| good	0.145 \| good
2025-10-23T14:00:00.000Z	18 \| good	0.244 \| good	0.863 \| good	18.996 \| good	0.721 \| good	3.348 \| good	0.146 \| good
2025-10-23T15:00:00.000Z	20 \| good	0.064 \| good	0.06 \| good	22.329 \| good	0.806 \| good	2.826 \| good	0.147 \| good
2025-10-23T16:00:00.000Z	26 \| good	0.174 \| good	0.585 \| good	27.9 \| good	0.696 \| good	2.318 \| good	0.14 \| good
2025-10-23T17:00:00.000Z	31 \| good	0.278 \| good	1.032 \| good	33.063 \| good	0.586 \| good	1.811 \| good	0.133 \| good
2025-10-23T18:00:00.000Z	32 \| good	0.794 \| good	3.032 \| good	34.963 \| good	0.476 \| good	1.304 \| good	0.126 \| good
2025-10-23T19:00:00.000Z	32 \| good	1.235 \| good	5 \| good	34.96 \| good	0.472 \| good	1.286 \| good	0.124 \| good
2025-10-23T20:00:00.000Z	30 \| good	1.442 \| good	5.702 \| good	32.499 \| good	0.467 \| good	1.268 \| good	0.122 \| good
2025-10-23T21:00:00.000Z	26 \| good	0.956 \| good	3.762 \| good	27.507 \| good	0.463 \| good	1.25 \| good	0.12 \| good
2025-10-23T22:00:00.000Z	23 \| good	0.991 \| good	3.962 \| good	25.415 \| good	0.497 \| good	2.256 \| good	0.129 \| good
2025-10-23T23:00:00.000Z	18 \| good	0.306 \| good	1.087 \| good	18.685 \| good	0.53 \| good	3.261 \| good	0.137 \| good
2025-10-24T00:00:00.000Z	18 \| good	0.674 \| good	2.296 \| good	18.674 \| good	0.564 \| good	4.266 \| good	0.145 \| good
2025-10-24T01:00:00.000Z	18 \| good	1.51 \| good	6.07 \| good	19.481 \| good	0.583 \| good	5.216 \| good	0.153 \| good
2025-10-24T02:00:00.000Z	19 \| good	1.085 \| good	4.197 \| good	20.283 \| good	0.601 \| good	6.166 \| good	0.161 \| good
2025-10-24T03:00:00.000Z	18 \| good	0.975 \| good	3.906 \| good	19.444 \| good	0.619 \| good	7.117 \| good	0.169 \| good
2025-10-24T04:00:00.000Z	16 \| good	1.562 \| good	6.093 \| good	17.115 \| good	0.633 \| good	8.3 \| good	0.178 \| good
2025-10-24T05:00:00.000Z	16 \| good	3.466 \| good	15.588 \| good	15.713 \| good	0.647 \| good	9.483 \| good	0.187 \| good
2025-10-24T06:00:00.000Z	22 \| good	4.268 \| good	18.814 \| good	13.072 \| good	0.661 \| good	10.665 \| good	0.196 \| good
2025-10-24T07:00:00.000Z	22 \| good	4.255 \| good	18.815 \| good	10.908 \| good	0.663 \| good	10.841 \| good	0.196 \| good
2025-10-24T08:00:00.000Z	16 \| good	3.332 \| good	14.545 \| good	9.228 \| good	0.664 \| good	11.018 \| good	0.197 \| good
2025-10-24T09:00:00.000Z	22 \| good	3.559 \| good	15.513 \| good	8.081 \| good	0.665 \| good	11.194 \| good	0.197 \| good
2025-10-24T10:00:00.000Z	16 \| good	2.968 \| good	12.648 \| good	12.157 \| good	0.707 \| good	11.1 \| good	0.199 \| good
2025-10-24T11:00:00.000Z	16 \| good	3.458 \| good	14.851 \| good	10.379 \| good	0.748 \| good	11.007 \| good	0.2 \| good
2025-10-24T12:00:00.000Z	22 \| good	3.776 \| good	16.677 \| good	8.985 \| good	0.79 \| good	10.913 \| good	0.202 \| good
2025-10-24T13:00:00.000Z	16 \| good	3.042 \| good	12.74 \| good	11.561 \| good	1.114 \| good	9.1 \| good	0.199 \| good
2025-10-24T14:00:00.000Z	16 \| good	1.818 \| good	7.301 \| good	16.67 \| good	1.438 \| good	7.288 \| good	0.197 \| good
2025-10-24T15:00:00.000Z	21 \| good	0.357 \| good	1.379 \| good	23.174 \| good	1.763 \| good	5.475 \| good	0.195 \| good

Yorktown

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Yorktown, Indiana air quality map: Track AQI near you

0.28ppm

How accurate is Indiana, USA air quality data?

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

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Yorktown, Indiana updated?

The air quality for Yorktown, Indiana is updated every hour.

When was the worst air quality at Yorktown, Indiana in the last 24 hrs?

The worst air quality in Yorktown, Indiana in the last 24 hours was observed at 08:00:00 on 2025-10-21.

When was the best air quality at Yorktown, Indiana in the last 24 hrs?

In the last 24 hrs, the best air quality in Yorktown, Indiana was observed at 11:00:00 on 2025-10-22.

What is the current air quality in Yorktown, Indiana?

The current air quality in Yorktown, Indiana is 21, categorized as Good based on real-time data.

What pollutant is the most common in Yorktown, Indiana?

The most common pollutant in Yorktown, Indiana is O3.

What should I do if the air quality in Yorktown, Indiana is poor?

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

What is the current concentration of PM_2.5 in Yorktown, Indiana?

The current PM_2.5 concentration at Yorktown, Indiana is 2.581 μg/m³.

What is the current concentration of PM₁₀ in Yorktown, Indiana?

The current PM₁₀ concentration at Yorktown, Indiana is 11.124 μg/m³.

What is the current concentration of carbon monoxide (CO) in Yorktown, Indiana?

The current carbon monoxide (CO) concentration at Yorktown, Indiana is 0.231 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Yorktown, Indiana?

The current sulfur dioxide (SO₂) concentration at Yorktown, Indiana is 1.437 ppb.

What is the current concentration of ozone (O₃) in Yorktown, Indiana?

The current ozone (O₃) concentration at Yorktown, Indiana is 22.897 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Yorktown, Indiana?

The current nitrogen dioxide (NO₂) concentration at Yorktown, Indiana is 6.641 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T16:00:00.000Z	16 \| good	3.3 \| good	15 \| good	15.605 \| good	1.23 \| good	13.738 \| good	0.268 \| good
2025-10-20T17:00:00.000Z	16 \| good	3.3 \| good	15 \| good	15.988 \| good	1.755 \| good	10.409 \| good	0.221 \| good
2025-10-20T18:00:00.000Z	19 \| good	3.1 \| good	14 \| good	21 \| good	1.705 \| good	6.54 \| good	0.198 \| good
2025-10-20T19:00:00.000Z	22 \| good	2.9 \| good	12 \| good	23.798 \| good	1.244 \| good	5.178 \| good	0.184 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.5 \| good	10 \| good	29.335 \| good	2.016 \| good	5.062 \| good	0.184 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.4 \| good	10 \| good	32.817 \| good	1.61 \| good	5.584 \| good	0.184 \| good
2025-10-20T22:00:00.000Z	27 \| good	2.4 \| good	10 \| good	29.241 \| good	1.587 \| good	4.446 \| good	0.198 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.4 \| good	10 \| good	28.8 \| good	1.338 \| good	5.632 \| good	0.184 \| good
2025-10-21T00:00:00.000Z	28 \| good	2.6 \| good	11 \| good	29.631 \| good	1.202 \| good	5.455 \| good	0.198 \| good
2025-10-21T01:00:00.000Z	29 \| good	2.8 \| good	12 \| good	31.18 \| good	0.702 \| good	5.825 \| good	0.213 \| good
2025-10-21T02:00:00.000Z	26 \| good	3.2 \| good	14 \| good	28.21 \| good	0.839 \| good	6.204 \| good	0.227 \| good
2025-10-21T03:00:00.000Z	24 \| good	0.951 \| good	3.821 \| good	25.918 \| good	1.657 \| good	2.955 \| good	0.149 \| good
2025-10-21T04:00:00.000Z	23 \| good	3 \| good	12 \| good	25.315 \| good	0.932 \| good	6.372 \| good	0.198 \| good
2025-10-21T05:00:00.000Z	27 \| good	2.9 \| good	12 \| good	28.545 \| good	0.968 \| good	8.077 \| good	0.213 \| good
2025-10-21T06:00:00.000Z	26 \| good	2.8 \| good	12 \| good	28.279 \| good	0.811 \| good	6.419 \| good	0.198 \| good
2025-10-21T07:00:00.000Z	27 \| good	2.9 \| good	12 \| good	29.434 \| good	0.862 \| good	6.859 \| good	0.198 \| good
2025-10-21T08:00:00.000Z	24 \| good	3 \| good	12 \| good	26.364 \| good	0.844 \| good	7.469 \| good	0.198 \| good
2025-10-21T09:00:00.000Z	25 \| good	3.1 \| good	14 \| good	26.787 \| good	1.071 \| good	6.898 \| good	0.198 \| good
2025-10-21T10:00:00.000Z	26 \| good	3.2 \| good	14 \| good	27.531 \| good	1.258 \| good	6.069 \| good	0.198 \| good
2025-10-21T11:00:00.000Z	25 \| good	3.4 \| good	15 \| good	27.407 \| good	1.166 \| good	7.194 \| good	0.198 \| good
2025-10-21T12:00:00.000Z	25 \| good	3.4 \| good	15 \| good	26.813 \| good	1.665 \| good	9.46 \| good	0.283 \| good
2025-10-21T13:00:00.000Z	25 \| good	3.4 \| good	15 \| good	26.797 \| good	1.56 \| good	14.495 \| good	0.354 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.5 \| good	16 \| good	23.908 \| good	1.098 \| good	15.889 \| good	0.343 \| good
2025-10-21T15:00:00.000Z	23 \| good	3.6 \| good	16 \| good	24.566 \| good	1.37 \| good	11.517 \| good	0.236 \| good
2025-10-21T16:00:00.000Z	22 \| good	3.5 \| good	16 \| good	21.783 \| good	1.244 \| good	7.264 \| good	0.203 \| good
2025-10-21T17:00:00.000Z	27 \| good	3.5 \| good	16 \| good	28.56 \| good	1.224 \| good	3.728 \| good	0.233 \| good
2025-10-21T18:00:00.000Z	26 \| good	3.4 \| good	15 \| good	28.17 \| good	1.37 \| good	3.203 \| good	0.184 \| good
2025-10-21T19:00:00.000Z	29 \| good	3.2 \| good	14 \| good	31.352 \| good	1.601 \| good	2.981 \| good	0.184 \| good
2025-10-21T20:00:00.000Z	32 \| good	3 \| good	12 \| good	34.909 \| good	2.267 \| good	4.404 \| good	0.222 \| good
2025-10-21T21:00:00.000Z	31 \| good	2.9 \| good	12 \| good	34.154 \| good	1.558 \| good	4.865 \| good	0.207 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.7 \| good	11 \| good	34.425 \| good	1.373 \| good	5.256 \| good	0.207 \| good
2025-10-21T23:00:00.000Z	31 \| good	2.6 \| good	11 \| good	32.599 \| good	2.02 \| good	5.386 \| good	0.207 \| good
2025-10-22T00:00:00.000Z	29 \| good	2.6 \| good	11 \| good	30.899 \| good	1.778 \| good	6.989 \| good	0.221 \| good
2025-10-22T01:00:00.000Z	29 \| good	2.6 \| good	11 \| good	31.294 \| good	1.405 \| good	6.669 \| good	0.207 \| good
2025-10-22T02:00:00.000Z	27 \| good	2.6 \| good	11 \| good	28.909 \| good	1.259 \| good	6.219 \| good	0.207 \| good
2025-10-22T03:00:00.000Z	20 \| good	0.547 \| good	2 \| good	22.152 \| good	0.39 \| good	1.933 \| good	0.13 \| good
2025-10-22T04:00:00.000Z	24 \| good	2.5 \| good	10 \| good	25.741 \| good	1.681 \| good	4.103 \| good	0.207 \| good
2025-10-22T05:00:00.000Z	23 \| good	2.6 \| good	11 \| good	24.955 \| good	2.561 \| good	3.658 \| good	0.184 \| good
2025-10-22T06:00:00.000Z	22 \| good	2.6 \| good	11 \| good	23.879 \| good	2.599 \| good	3.614 \| good	0.188 \| good
2025-10-22T07:00:00.000Z	20 \| good	2.5 \| good	10 \| good	22.46 \| good	2.547 \| good	3.422 \| good	0.188 \| good
2025-10-22T08:00:00.000Z	22 \| good	2.4 \| good	10 \| good	23.716 \| good	1.918 \| good	2.885 \| good	0.188 \| good
2025-10-22T09:00:00.000Z	23 \| good	2.3 \| good	10 \| good	24.514 \| good	1.943 \| good	3.552 \| good	0.198 \| good
2025-10-22T10:00:00.000Z	20 \| good	2.3 \| good	10 \| good	21.983 \| good	1.968 \| good	4.703 \| good	0.198 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.4 \| good	10 \| good	21.028 \| good	1.544 \| good	4.488 \| good	0.237 \| good
2025-10-22T12:00:00.000Z	20 \| good	2.6 \| good	11 \| good	21.544 \| good	1.546 \| good	5.28 \| good	0.255 \| good
2025-10-22T13:00:00.000Z	21 \| good	2.6 \| good	11 \| good	23.451 \| good	1.547 \| good	6.706 \| good	0.283 \| good
2025-10-22T14:00:00.000Z	21 \| good	2.4 \| good	10 \| good	22.979 \| good	1.549 \| good	6.714 \| good	0.221 \| good
2025-10-22T15:00:00.000Z	21 \| good	2.581 \| good	11.124 \| good	22.897 \| good	1.437 \| good	6.641 \| good	0.231 \| good
2025-10-22T16:00:00.000Z	21 \| good	0.941 \| good	3.964 \| good	22.721 \| good	0.236 \| good	1.471 \| good	0.135 \| good
2025-10-22T17:00:00.000Z	24 \| good	1.01 \| good	4.055 \| good	25.699 \| good	0.2 \| good	1.34 \| good	0.132 \| good
2025-10-22T18:00:00.000Z	25 \| good	2.917 \| good	12.048 \| good	27.437 \| good	0.164 \| good	1.208 \| good	0.128 \| good
2025-10-22T19:00:00.000Z	26 \| good	3.81 \| good	16.866 \| good	28.29 \| good	0.157 \| good	1.267 \| good	0.128 \| good
2025-10-22T20:00:00.000Z	28 \| good	3.495 \| good	15.295 \| good	30.317 \| good	0.149 \| good	1.326 \| good	0.127 \| good
2025-10-22T21:00:00.000Z	28 \| good	2.62 \| good	10.866 \| good	30.102 \| good	0.142 \| good	1.384 \| good	0.127 \| good
2025-10-22T22:00:00.000Z	24 \| good	2.117 \| good	8.842 \| good	26.441 \| good	0.18 \| good	1.797 \| good	0.13 \| good
2025-10-22T23:00:00.000Z	23 \| good	2.254 \| good	9.256 \| good	25.163 \| good	0.217 \| good	2.209 \| good	0.133 \| good
2025-10-23T00:00:00.000Z	22 \| good	1.55 \| good	6.272 \| good	24.315 \| good	0.255 \| good	2.621 \| good	0.136 \| good
2025-10-23T01:00:00.000Z	19 \| good	2.85 \| good	12.075 \| good	19.546 \| good	0.316 \| good	2.934 \| good	0.137 \| good
2025-10-23T02:00:00.000Z	22 \| good	4.118 \| good	18.01 \| good	15.638 \| good	0.378 \| good	3.247 \| good	0.139 \| good
2025-10-23T03:00:00.000Z	22 \| good	3.568 \| good	15.574 \| good	14.437 \| good	0.439 \| good	3.559 \| good	0.141 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.884 \| good	17.089 \| good	15.028 \| good	0.471 \| good	3.585 \| good	0.141 \| good
2025-10-23T05:00:00.000Z	16 \| good	2.779 \| good	11.805 \| good	17.153 \| good	0.503 \| good	3.61 \| good	0.141 \| good
2025-10-23T06:00:00.000Z	16 \| good	2.088 \| good	8.541 \| good	16.981 \| good	0.535 \| good	3.635 \| good	0.141 \| good
2025-10-23T07:00:00.000Z	14 \| good	1.098 \| good	4.704 \| good	14.973 \| good	0.536 \| good	3.583 \| good	0.14 \| good
2025-10-23T08:00:00.000Z	13 \| good	0.478 \| good	1.87 \| good	14.309 \| good	0.538 \| good	3.531 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	13 \| good	0.671 \| good	2.296 \| good	13.992 \| good	0.539 \| good	3.479 \| good	0.137 \| good
2025-10-23T10:00:00.000Z	17 \| good	0.434 \| good	1.601 \| good	17.527 \| good	0.543 \| good	3.783 \| good	0.139 \| good
2025-10-23T11:00:00.000Z	12 \| good	0.928 \| good	3.848 \| good	12.901 \| good	0.547 \| good	4.088 \| good	0.141 \| good
2025-10-23T12:00:00.000Z	10 \| good	0.32 \| good	1.035 \| good	10.908 \| good	0.551 \| good	4.392 \| good	0.143 \| good
2025-10-23T13:00:00.000Z	15 \| good	0.328 \| good	1.087 \| good	16.342 \| good	0.636 \| good	3.87 \| good	0.145 \| good
2025-10-23T14:00:00.000Z	18 \| good	0.244 \| good	0.863 \| good	18.996 \| good	0.721 \| good	3.348 \| good	0.146 \| good
2025-10-23T15:00:00.000Z	20 \| good	0.064 \| good	0.06 \| good	22.329 \| good	0.806 \| good	2.826 \| good	0.147 \| good
2025-10-23T16:00:00.000Z	26 \| good	0.174 \| good	0.585 \| good	27.9 \| good	0.696 \| good	2.318 \| good	0.14 \| good
2025-10-23T17:00:00.000Z	31 \| good	0.278 \| good	1.032 \| good	33.063 \| good	0.586 \| good	1.811 \| good	0.133 \| good
2025-10-23T18:00:00.000Z	32 \| good	0.794 \| good	3.032 \| good	34.963 \| good	0.476 \| good	1.304 \| good	0.126 \| good
2025-10-23T19:00:00.000Z	32 \| good	1.235 \| good	5 \| good	34.96 \| good	0.472 \| good	1.286 \| good	0.124 \| good
2025-10-23T20:00:00.000Z	30 \| good	1.442 \| good	5.702 \| good	32.499 \| good	0.467 \| good	1.268 \| good	0.122 \| good
2025-10-23T21:00:00.000Z	26 \| good	0.956 \| good	3.762 \| good	27.507 \| good	0.463 \| good	1.25 \| good	0.12 \| good
2025-10-23T22:00:00.000Z	23 \| good	0.991 \| good	3.962 \| good	25.415 \| good	0.497 \| good	2.256 \| good	0.129 \| good
2025-10-23T23:00:00.000Z	18 \| good	0.306 \| good	1.087 \| good	18.685 \| good	0.53 \| good	3.261 \| good	0.137 \| good
2025-10-24T00:00:00.000Z	18 \| good	0.674 \| good	2.296 \| good	18.674 \| good	0.564 \| good	4.266 \| good	0.145 \| good
2025-10-24T01:00:00.000Z	18 \| good	1.51 \| good	6.07 \| good	19.481 \| good	0.583 \| good	5.216 \| good	0.153 \| good
2025-10-24T02:00:00.000Z	19 \| good	1.085 \| good	4.197 \| good	20.283 \| good	0.601 \| good	6.166 \| good	0.161 \| good
2025-10-24T03:00:00.000Z	18 \| good	0.975 \| good	3.906 \| good	19.444 \| good	0.619 \| good	7.117 \| good	0.169 \| good
2025-10-24T04:00:00.000Z	16 \| good	1.562 \| good	6.093 \| good	17.115 \| good	0.633 \| good	8.3 \| good	0.178 \| good
2025-10-24T05:00:00.000Z	16 \| good	3.466 \| good	15.588 \| good	15.713 \| good	0.647 \| good	9.483 \| good	0.187 \| good
2025-10-24T06:00:00.000Z	22 \| good	4.268 \| good	18.814 \| good	13.072 \| good	0.661 \| good	10.665 \| good	0.196 \| good
2025-10-24T07:00:00.000Z	22 \| good	4.255 \| good	18.815 \| good	10.908 \| good	0.663 \| good	10.841 \| good	0.196 \| good
2025-10-24T08:00:00.000Z	16 \| good	3.332 \| good	14.545 \| good	9.228 \| good	0.664 \| good	11.018 \| good	0.197 \| good
2025-10-24T09:00:00.000Z	22 \| good	3.559 \| good	15.513 \| good	8.081 \| good	0.665 \| good	11.194 \| good	0.197 \| good
2025-10-24T10:00:00.000Z	16 \| good	2.968 \| good	12.648 \| good	12.157 \| good	0.707 \| good	11.1 \| good	0.199 \| good
2025-10-24T11:00:00.000Z	16 \| good	3.458 \| good	14.851 \| good	10.379 \| good	0.748 \| good	11.007 \| good	0.2 \| good
2025-10-24T12:00:00.000Z	22 \| good	3.776 \| good	16.677 \| good	8.985 \| good	0.79 \| good	10.913 \| good	0.202 \| good
2025-10-24T13:00:00.000Z	16 \| good	3.042 \| good	12.74 \| good	11.561 \| good	1.114 \| good	9.1 \| good	0.199 \| good
2025-10-24T14:00:00.000Z	16 \| good	1.818 \| good	7.301 \| good	16.67 \| good	1.438 \| good	7.288 \| good	0.197 \| good
2025-10-24T15:00:00.000Z	21 \| good	0.357 \| good	1.379 \| good	23.174 \| good	1.763 \| good	5.475 \| good	0.195 \| good

Yorktown, Indiana live air quality index now

Major air pollutants in Yorktown, Indiana

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Yorktown, Indiana air quality map: Track AQI near you

Air quality in nearby cities

Muncie, Indiana

Anderson, Indiana

New Castle, Indiana

Marion City, Indiana

Noblesville, Indiana

McCordsville, Indiana

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Frequently asked questions

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What is the current concentration of PM2.5 in Yorktown, Indiana?

What is the current concentration of PM10 in Yorktown, Indiana?

What is the current concentration of carbon monoxide (CO) in Yorktown, Indiana?

What is the current concentration of sulfur dioxide (SO2) in Yorktown, Indiana?

What is the current concentration of ozone (O3) in Yorktown, Indiana?

What is the current concentration of nitrogen dioxide (NO2) in Yorktown, Indiana?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Yorktown, Indiana?

What is the current concentration of PM₁₀ in Yorktown, Indiana?

What is the current concentration of sulfur dioxide (SO₂) in Yorktown, Indiana?

What is the current concentration of ozone (O₃) in Yorktown, Indiana?

What is the current concentration of nitrogen dioxide (NO₂) in Yorktown, Indiana?