What is the current concentration of PM10 in Indiana Borough, Pennsylvania?

The current PM10 concentration at Indiana Borough, Pennsylvania is 15.5 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Indiana Borough, Pennsylvania is 1.072 ppb.

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

The current ozone (O3) concentration at Indiana Borough, Pennsylvania is 19.233 ppm.

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

The current nitrogen dioxide (NO2) concentration at Indiana Borough, Pennsylvania is 7.488 ppb.

Indiana Borough, Pennsylvania live air quality index now

Name: Live air pollution levels in Indiana Borough, Pennsylvania today
Creator: Ambee

Stay updated with real-time air quality in Indiana Borough, Pennsylvania 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

Indiana Borough, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Indiana Borough, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.13 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

24.66 μg/m³

155

255

425

605+

Ozone (O₃)

10.73 ppb

201

201+

Sulfur Dioxide (SO₂)

1.05 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.04 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Indiana Borough, Pennsylvania

Get Live Pollen Counts

Indiana Borough, Pennsylvania

Scroll To Air Quality Map

Track live Indiana Borough, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T06:00:00.000Z	38 \| good	6.575 \| good	25.693 \| good	28.397 \| good	1.245 \| good	4.867 \| good	0.214 \| good
2025-10-19T07:00:00.000Z	38 \| good	6.695 \| good	26.899 \| good	35.973 \| good	1.745 \| good	4.074 \| good	0.212 \| good
2025-10-19T08:00:00.000Z	38 \| good	6.682 \| good	29.654 \| good	32.35 \| good	2.365 \| good	4.199 \| good	0.243 \| good
2025-10-19T09:00:00.000Z	38 \| good	6.864 \| good	30.657 \| good	36.814 \| good	2.469 \| good	3.732 \| good	0.241 \| good
2025-10-19T10:00:00.000Z	52 \| moderate	10.267 \| good	44.258 \| good	34.569 \| good	1.729 \| good	4.23 \| good	0.212 \| good
2025-10-19T11:00:00.000Z	54 \| moderate	10.804 \| good	42.199 \| good	37.911 \| good	2.213 \| good	3.849 \| good	0.227 \| good
2025-10-19T12:00:00.000Z	33 \| good	6.494 \| good	29.028 \| good	36.202 \| good	1.765 \| good	3.833 \| good	0.254 \| good
2025-10-19T13:00:00.000Z	35 \| good	6.418 \| good	37.763 \| good	35.555 \| good	1.481 \| good	3.685 \| good	0.238 \| good
2025-10-19T14:00:00.000Z	44 \| good	7.607 \| good	37.195 \| good	32.045 \| good	1.626 \| good	3.004 \| good	0.226 \| good
2025-10-19T15:00:00.000Z	44 \| good	8.213 \| good	35.49 \| good	40.34 \| good	1.867 \| good	2.932 \| good	0.24 \| good
2025-10-19T16:00:00.000Z	44 \| good	7.797 \| good	35.492 \| good	27.469 \| good	1.427 \| good	2.367 \| good	0.226 \| good
2025-10-19T17:00:00.000Z	44 \| good	8.383 \| good	41.723 \| good	44.598 \| good	2.301 \| good	2.112 \| good	0.227 \| good
2025-10-19T18:00:00.000Z	52 \| moderate	10.051 \| good	46.826 \| good	37.835 \| good	2.333 \| good	1.856 \| good	0.285 \| good
2025-10-19T19:00:00.000Z	49 \| good	8.673 \| good	35.389 \| good	40.35 \| good	1.232 \| good	1.892 \| good	0.198 \| good
2025-10-19T20:00:00.000Z	44 \| good	7.783 \| good	32.987 \| good	39.89 \| good	1.525 \| good	1.685 \| good	0.183 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.052 \| good	25.112 \| good	41.367 \| good	1.194 \| good	2.514 \| good	0.165 \| good
2025-10-19T22:00:00.000Z	35 \| good	5.678 \| good	20.472 \| good	38.061 \| good	1.206 \| good	2.762 \| good	0.163 \| good
2025-10-19T23:00:00.000Z	35 \| good	4.423 \| good	21.074 \| good	38.18 \| good	1.059 \| good	1.99 \| good	0.162 \| good
2025-10-20T00:00:00.000Z	32 \| good	3.328 \| good	15.037 \| good	35.349 \| good	0.79 \| good	2.401 \| good	0.162 \| good
2025-10-20T01:00:00.000Z	35 \| good	2.535 \| good	13.087 \| good	37.701 \| good	0.749 \| good	2.383 \| good	0.149 \| good
2025-10-20T02:00:00.000Z	34 \| good	2.034 \| good	8.117 \| good	37.037 \| good	0.723 \| good	2.239 \| good	0.147 \| good
2025-10-20T03:00:00.000Z	30 \| good	2.532 \| good	8.926 \| good	32.343 \| good	0.68 \| good	1.341 \| good	0.133 \| good
2025-10-20T04:00:00.000Z	31 \| good	1.908 \| good	8.581 \| good	32.561 \| good	0.671 \| good	1.645 \| good	0.133 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.61 \| good	5.705 \| good	29.622 \| good	0.674 \| good	2.148 \| good	0.131 \| good
2025-10-20T06:00:00.000Z	24 \| good	1.004 \| good	4.341 \| good	26.385 \| good	0.674 \| good	2.459 \| good	0.13 \| good
2025-10-20T07:00:00.000Z	29 \| good	0.78 \| good	3.201 \| good	30.757 \| good	0.526 \| good	1.496 \| good	0.129 \| good
2025-10-20T08:00:00.000Z	22 \| good	0.745 \| good	4.462 \| good	23.756 \| good	0.785 \| good	1.298 \| good	0.129 \| good
2025-10-20T09:00:00.000Z	23 \| good	1.285 \| good	5.217 \| good	24.834 \| good	0.674 \| good	1.61 \| good	0.129 \| good
2025-10-20T10:00:00.000Z	23 \| good	1.876 \| good	7.998 \| good	25.073 \| good	1.619 \| good	1.776 \| good	0.129 \| good
2025-10-20T11:00:00.000Z	24 \| good	2.604 \| good	12.147 \| good	26.36 \| good	1.344 \| good	2.415 \| good	0.129 \| good
2025-10-20T12:00:00.000Z	23 \| good	3.632 \| good	10.413 \| good	24.788 \| good	0.649 \| good	2.206 \| good	0.13 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.879 \| good	12.65 \| good	23.829 \| good	0.638 \| good	3.48 \| good	0.148 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.29 \| good	12.651 \| good	23.405 \| good	0.551 \| good	3.876 \| good	0.153 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.13 \| good	17.433 \| good	20.661 \| good	0.774 \| good	3.042 \| good	0.138 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.632 \| good	15.4 \| good	22.431 \| good	0.769 \| good	2.64 \| good	0.136 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.455 \| good	14.888 \| good	24.053 \| good	0.862 \| good	2.116 \| good	0.133 \| good
2025-10-20T18:00:00.000Z	24 \| good	3.225 \| good	14.535 \| good	26.106 \| good	0.835 \| good	1.622 \| good	0.132 \| good
2025-10-20T19:00:00.000Z	25 \| good	2.914 \| good	12.17 \| good	27.244 \| good	0.837 \| good	1.281 \| good	0.13 \| good
2025-10-20T20:00:00.000Z	26 \| good	2.899 \| good	12.239 \| good	28.057 \| good	0.841 \| good	1.295 \| good	0.132 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.832 \| good	11.339 \| good	29.361 \| good	0.667 \| good	1.124 \| good	0.135 \| good
2025-10-20T22:00:00.000Z	27 \| good	2.734 \| good	11.201 \| good	29.333 \| good	0.703 \| good	1.758 \| good	0.138 \| good
2025-10-20T23:00:00.000Z	27 \| good	3.234 \| good	13.465 \| good	28.56 \| good	0.672 \| good	2.623 \| good	0.133 \| good
2025-10-21T00:00:00.000Z	26 \| good	3.019 \| good	11.996 \| good	28.101 \| good	0.675 \| good	2.688 \| good	0.136 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.217 \| good	13.443 \| good	24.131 \| good	1.092 \| good	6.327 \| good	0.165 \| good
2025-10-21T02:00:00.000Z	18 \| good	3.248 \| good	15.5 \| good	19.233 \| good	1.072 \| good	7.488 \| good	0.267 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.647 \| good	33.342 \| good	12.812 \| good	1.635 \| good	8.336 \| good	0.187 \| good
2025-10-21T04:00:00.000Z	38 \| good	7.133 \| good	24.663 \| good	10.726 \| good	1.054 \| good	11.037 \| good	0.169 \| good
2025-10-21T05:00:00.000Z	38 \| good	7.133 \| good	24.663 \| good	10.726 \| good	1.054 \| good	11.037 \| good	0.169 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	10.135 \| good	44.964 \| good	10.894 \| good	1.901 \| good	7.815 \| good	0.182 \| good
2025-10-21T05:00:00.000Z	52 \| moderate	9.661 \| good	42.983 \| good	13.76 \| good	2.178 \| good	7.09 \| good	0.179 \| good
2025-10-21T06:00:00.000Z	44 \| good	7.668 \| good	33.615 \| good	16.784 \| good	2.456 \| good	6.365 \| good	0.176 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.844 \| good	25.429 \| good	17.331 \| good	2.849 \| good	5.5 \| good	0.168 \| good
2025-10-21T08:00:00.000Z	33 \| good	5.6 \| good	23.999 \| good	16.484 \| good	3.242 \| good	4.636 \| good	0.16 \| good
2025-10-21T09:00:00.000Z	33 \| good	5.596 \| good	24.324 \| good	15.263 \| good	3.635 \| good	3.771 \| good	0.151 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.064 \| good	22.071 \| good	17.362 \| good	3.417 \| good	3.5 \| good	0.146 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.238 \| good	18.738 \| good	18.128 \| good	3.199 \| good	3.228 \| good	0.14 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.573 \| good	15.966 \| good	20.498 \| good	2.981 \| good	2.957 \| good	0.135 \| good
2025-10-21T13:00:00.000Z	23 \| good	3.789 \| good	16.325 \| good	25.003 \| good	2.777 \| good	2.794 \| good	0.135 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.168 \| good	18.123 \| good	29.13 \| good	2.573 \| good	2.63 \| good	0.134 \| good
2025-10-21T15:00:00.000Z	25 \| good	4.256 \| good	18.901 \| good	27.288 \| good	2.368 \| good	2.467 \| good	0.134 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.911 \| good	21.123 \| good	28.016 \| good	2.83 \| good	2.422 \| good	0.136 \| good
2025-10-21T17:00:00.000Z	33 \| good	6.349 \| good	28.281 \| good	32.756 \| good	3.291 \| good	2.377 \| good	0.139 \| good
2025-10-21T18:00:00.000Z	39 \| good	7.202 \| good	31.732 \| good	41.922 \| good	3.752 \| good	2.332 \| good	0.141 \| good
2025-10-21T19:00:00.000Z	44 \| good	7.344 \| good	32.325 \| good	46.911 \| good	3.986 \| good	2.229 \| good	0.142 \| good
2025-10-21T20:00:00.000Z	40 \| good	6.055 \| good	26.903 \| good	43.042 \| good	4.22 \| good	2.127 \| good	0.142 \| good
2025-10-21T21:00:00.000Z	37 \| good	5.774 \| good	25.095 \| good	39.915 \| good	4.454 \| good	2.024 \| good	0.143 \| good
2025-10-21T22:00:00.000Z	33 \| good	5.289 \| good	22.886 \| good	36.148 \| good	3.897 \| good	2.791 \| good	0.148 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.092 \| good	27.014 \| good	30.776 \| good	3.341 \| good	3.557 \| good	0.152 \| good
2025-10-22T00:00:00.000Z	38 \| good	7.071 \| good	31.265 \| good	28.907 \| good	2.784 \| good	4.323 \| good	0.157 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.379 \| good	32.579 \| good	26.826 \| good	2.592 \| good	4.347 \| good	0.155 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.978 \| good	26.204 \| good	27.62 \| good	2.4 \| good	4.37 \| good	0.154 \| good
2025-10-22T03:00:00.000Z	33 \| good	5.508 \| good	23.777 \| good	27.651 \| good	2.208 \| good	4.394 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	27 \| good	4.217 \| good	18.54 \| good	29.063 \| good	2.324 \| good	4.169 \| good	0.149 \| good
2025-10-22T05:00:00.000Z	26 \| good	2.964 \| good	12 \| good	28.397 \| good	2.44 \| good	3.944 \| good	0.145 \| good
2025-10-22T06:00:00.000Z	26 \| good	1.728 \| good	6.877 \| good	27.852 \| good	2.557 \| good	3.719 \| good	0.142 \| good
2025-10-22T07:00:00.000Z	25 \| good	1.535 \| good	6.341 \| good	26.88 \| good	2.579 \| good	3.373 \| good	0.138 \| good
2025-10-22T08:00:00.000Z	24 \| good	2.035 \| good	8.084 \| good	26.477 \| good	2.602 \| good	3.027 \| good	0.133 \| good
2025-10-22T09:00:00.000Z	27 \| good	2.259 \| good	9.118 \| good	29.303 \| good	2.624 \| good	2.681 \| good	0.129 \| good
2025-10-22T10:00:00.000Z	27 \| good	2.478 \| good	10 \| good	28.718 \| good	2.494 \| good	2.802 \| good	0.13 \| good
2025-10-22T11:00:00.000Z	24 \| good	2.324 \| good	9.306 \| good	26.248 \| good	2.364 \| good	2.922 \| good	0.131 \| good
2025-10-22T12:00:00.000Z	23 \| good	2.542 \| good	10.429 \| good	25.447 \| good	2.234 \| good	3.042 \| good	0.132 \| good
2025-10-22T13:00:00.000Z	27 \| good	2.917 \| good	12.133 \| good	28.666 \| good	2.113 \| good	2.76 \| good	0.131 \| good
2025-10-22T14:00:00.000Z	29 \| good	2.487 \| good	10 \| good	31.001 \| good	1.992 \| good	2.477 \| good	0.13 \| good
2025-10-22T15:00:00.000Z	28 \| good	2.743 \| good	11.118 \| good	29.727 \| good	1.871 \| good	2.194 \| good	0.13 \| good
2025-10-22T16:00:00.000Z	26 \| good	3.483 \| good	15.335 \| good	28.057 \| good	1.943 \| good	2.171 \| good	0.13 \| good
2025-10-22T17:00:00.000Z	26 \| good	4.219 \| good	18.586 \| good	27.69 \| good	2.016 \| good	2.149 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	26 \| good	4.402 \| good	19.178 \| good	27.631 \| good	2.089 \| good	2.126 \| good	0.13 \| good
2025-10-22T19:00:00.000Z	27 \| good	4.615 \| good	20.222 \| good	28.08 \| good	2.2 \| good	2.497 \| good	0.132 \| good
2025-10-22T20:00:00.000Z	25 \| good	4.432 \| good	19.335 \| good	26.588 \| good	2.31 \| good	2.868 \| good	0.135 \| good
2025-10-22T21:00:00.000Z	27 \| good	5.089 \| good	21.875 \| good	25.909 \| good	2.421 \| good	3.24 \| good	0.137 \| good
2025-10-22T22:00:00.000Z	25 \| good	4.179 \| good	18.25 \| good	26.518 \| good	2.351 \| good	3.448 \| good	0.139 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.581 \| good	19.916 \| good	26.131 \| good	2.282 \| good	3.657 \| good	0.142 \| good
2025-10-23T00:00:00.000Z	23 \| good	3.44 \| good	3.442 \| good	24.543 \| good	2.219 \| good	3.854 \| good	0.144 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.003 \| good	26.764 \| good	20.689 \| good	2.11 \| good	3.697 \| good	0.142 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.608 \| good	24.011 \| good	21.693 \| good	2.008 \| good	3.529 \| good	0.141 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.545 \| good	23.845 \| good	21.898 \| good	1.906 \| good	3.36 \| good	0.139 \| good

Indiana borough

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Indiana Borough, Pennsylvania air quality map: Track AQI near you

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How accurate is Pennsylvania, USA air quality data?

Air quality data and pollutant measurements for Pennsylvania, 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 Indiana Borough, Pennsylvania updated?

The air quality for Indiana Borough, Pennsylvania is updated every hour.

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

The worst air quality in Indiana Borough, Pennsylvania in the last 24 hours was observed at 04:00:00 on 2025-10-20.

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

In the last 24 hrs, the best air quality in Indiana Borough, Pennsylvania was observed at 02:00:00 on 2025-10-21.

What is the current air quality in Indiana Borough, Pennsylvania?

The current air quality in Indiana Borough, Pennsylvania is 18, categorized as Good based on real-time data.

What pollutant is the most common in Indiana Borough, Pennsylvania?

The most common pollutant in Indiana Borough, Pennsylvania is O3.

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

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

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

The current PM_2.5 concentration at Indiana Borough, Pennsylvania is 3.248 μg/m³.

What is the current concentration of PM₁₀ in Indiana Borough, Pennsylvania?

The current PM₁₀ concentration at Indiana Borough, Pennsylvania is 15.5 μg/m³.

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

The current carbon monoxide (CO) concentration at Indiana Borough, Pennsylvania is 0.267 ppm.

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

The current sulfur dioxide (SO₂) concentration at Indiana Borough, Pennsylvania is 1.072 ppb.

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

The current ozone (O₃) concentration at Indiana Borough, Pennsylvania is 19.233 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Indiana Borough, Pennsylvania is 7.488 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T06:00:00.000Z	38 \| good	6.575 \| good	25.693 \| good	28.397 \| good	1.245 \| good	4.867 \| good	0.214 \| good
2025-10-19T07:00:00.000Z	38 \| good	6.695 \| good	26.899 \| good	35.973 \| good	1.745 \| good	4.074 \| good	0.212 \| good
2025-10-19T08:00:00.000Z	38 \| good	6.682 \| good	29.654 \| good	32.35 \| good	2.365 \| good	4.199 \| good	0.243 \| good
2025-10-19T09:00:00.000Z	38 \| good	6.864 \| good	30.657 \| good	36.814 \| good	2.469 \| good	3.732 \| good	0.241 \| good
2025-10-19T10:00:00.000Z	52 \| moderate	10.267 \| good	44.258 \| good	34.569 \| good	1.729 \| good	4.23 \| good	0.212 \| good
2025-10-19T11:00:00.000Z	54 \| moderate	10.804 \| good	42.199 \| good	37.911 \| good	2.213 \| good	3.849 \| good	0.227 \| good
2025-10-19T12:00:00.000Z	33 \| good	6.494 \| good	29.028 \| good	36.202 \| good	1.765 \| good	3.833 \| good	0.254 \| good
2025-10-19T13:00:00.000Z	35 \| good	6.418 \| good	37.763 \| good	35.555 \| good	1.481 \| good	3.685 \| good	0.238 \| good
2025-10-19T14:00:00.000Z	44 \| good	7.607 \| good	37.195 \| good	32.045 \| good	1.626 \| good	3.004 \| good	0.226 \| good
2025-10-19T15:00:00.000Z	44 \| good	8.213 \| good	35.49 \| good	40.34 \| good	1.867 \| good	2.932 \| good	0.24 \| good
2025-10-19T16:00:00.000Z	44 \| good	7.797 \| good	35.492 \| good	27.469 \| good	1.427 \| good	2.367 \| good	0.226 \| good
2025-10-19T17:00:00.000Z	44 \| good	8.383 \| good	41.723 \| good	44.598 \| good	2.301 \| good	2.112 \| good	0.227 \| good
2025-10-19T18:00:00.000Z	52 \| moderate	10.051 \| good	46.826 \| good	37.835 \| good	2.333 \| good	1.856 \| good	0.285 \| good
2025-10-19T19:00:00.000Z	49 \| good	8.673 \| good	35.389 \| good	40.35 \| good	1.232 \| good	1.892 \| good	0.198 \| good
2025-10-19T20:00:00.000Z	44 \| good	7.783 \| good	32.987 \| good	39.89 \| good	1.525 \| good	1.685 \| good	0.183 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.052 \| good	25.112 \| good	41.367 \| good	1.194 \| good	2.514 \| good	0.165 \| good
2025-10-19T22:00:00.000Z	35 \| good	5.678 \| good	20.472 \| good	38.061 \| good	1.206 \| good	2.762 \| good	0.163 \| good
2025-10-19T23:00:00.000Z	35 \| good	4.423 \| good	21.074 \| good	38.18 \| good	1.059 \| good	1.99 \| good	0.162 \| good
2025-10-20T00:00:00.000Z	32 \| good	3.328 \| good	15.037 \| good	35.349 \| good	0.79 \| good	2.401 \| good	0.162 \| good
2025-10-20T01:00:00.000Z	35 \| good	2.535 \| good	13.087 \| good	37.701 \| good	0.749 \| good	2.383 \| good	0.149 \| good
2025-10-20T02:00:00.000Z	34 \| good	2.034 \| good	8.117 \| good	37.037 \| good	0.723 \| good	2.239 \| good	0.147 \| good
2025-10-20T03:00:00.000Z	30 \| good	2.532 \| good	8.926 \| good	32.343 \| good	0.68 \| good	1.341 \| good	0.133 \| good
2025-10-20T04:00:00.000Z	31 \| good	1.908 \| good	8.581 \| good	32.561 \| good	0.671 \| good	1.645 \| good	0.133 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.61 \| good	5.705 \| good	29.622 \| good	0.674 \| good	2.148 \| good	0.131 \| good
2025-10-20T06:00:00.000Z	24 \| good	1.004 \| good	4.341 \| good	26.385 \| good	0.674 \| good	2.459 \| good	0.13 \| good
2025-10-20T07:00:00.000Z	29 \| good	0.78 \| good	3.201 \| good	30.757 \| good	0.526 \| good	1.496 \| good	0.129 \| good
2025-10-20T08:00:00.000Z	22 \| good	0.745 \| good	4.462 \| good	23.756 \| good	0.785 \| good	1.298 \| good	0.129 \| good
2025-10-20T09:00:00.000Z	23 \| good	1.285 \| good	5.217 \| good	24.834 \| good	0.674 \| good	1.61 \| good	0.129 \| good
2025-10-20T10:00:00.000Z	23 \| good	1.876 \| good	7.998 \| good	25.073 \| good	1.619 \| good	1.776 \| good	0.129 \| good
2025-10-20T11:00:00.000Z	24 \| good	2.604 \| good	12.147 \| good	26.36 \| good	1.344 \| good	2.415 \| good	0.129 \| good
2025-10-20T12:00:00.000Z	23 \| good	3.632 \| good	10.413 \| good	24.788 \| good	0.649 \| good	2.206 \| good	0.13 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.879 \| good	12.65 \| good	23.829 \| good	0.638 \| good	3.48 \| good	0.148 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.29 \| good	12.651 \| good	23.405 \| good	0.551 \| good	3.876 \| good	0.153 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.13 \| good	17.433 \| good	20.661 \| good	0.774 \| good	3.042 \| good	0.138 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.632 \| good	15.4 \| good	22.431 \| good	0.769 \| good	2.64 \| good	0.136 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.455 \| good	14.888 \| good	24.053 \| good	0.862 \| good	2.116 \| good	0.133 \| good
2025-10-20T18:00:00.000Z	24 \| good	3.225 \| good	14.535 \| good	26.106 \| good	0.835 \| good	1.622 \| good	0.132 \| good
2025-10-20T19:00:00.000Z	25 \| good	2.914 \| good	12.17 \| good	27.244 \| good	0.837 \| good	1.281 \| good	0.13 \| good
2025-10-20T20:00:00.000Z	26 \| good	2.899 \| good	12.239 \| good	28.057 \| good	0.841 \| good	1.295 \| good	0.132 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.832 \| good	11.339 \| good	29.361 \| good	0.667 \| good	1.124 \| good	0.135 \| good
2025-10-20T22:00:00.000Z	27 \| good	2.734 \| good	11.201 \| good	29.333 \| good	0.703 \| good	1.758 \| good	0.138 \| good
2025-10-20T23:00:00.000Z	27 \| good	3.234 \| good	13.465 \| good	28.56 \| good	0.672 \| good	2.623 \| good	0.133 \| good
2025-10-21T00:00:00.000Z	26 \| good	3.019 \| good	11.996 \| good	28.101 \| good	0.675 \| good	2.688 \| good	0.136 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.217 \| good	13.443 \| good	24.131 \| good	1.092 \| good	6.327 \| good	0.165 \| good
2025-10-21T02:00:00.000Z	18 \| good	3.248 \| good	15.5 \| good	19.233 \| good	1.072 \| good	7.488 \| good	0.267 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.647 \| good	33.342 \| good	12.812 \| good	1.635 \| good	8.336 \| good	0.187 \| good
2025-10-21T04:00:00.000Z	38 \| good	7.133 \| good	24.663 \| good	10.726 \| good	1.054 \| good	11.037 \| good	0.169 \| good
2025-10-21T05:00:00.000Z	38 \| good	7.133 \| good	24.663 \| good	10.726 \| good	1.054 \| good	11.037 \| good	0.169 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	10.135 \| good	44.964 \| good	10.894 \| good	1.901 \| good	7.815 \| good	0.182 \| good
2025-10-21T05:00:00.000Z	52 \| moderate	9.661 \| good	42.983 \| good	13.76 \| good	2.178 \| good	7.09 \| good	0.179 \| good
2025-10-21T06:00:00.000Z	44 \| good	7.668 \| good	33.615 \| good	16.784 \| good	2.456 \| good	6.365 \| good	0.176 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.844 \| good	25.429 \| good	17.331 \| good	2.849 \| good	5.5 \| good	0.168 \| good
2025-10-21T08:00:00.000Z	33 \| good	5.6 \| good	23.999 \| good	16.484 \| good	3.242 \| good	4.636 \| good	0.16 \| good
2025-10-21T09:00:00.000Z	33 \| good	5.596 \| good	24.324 \| good	15.263 \| good	3.635 \| good	3.771 \| good	0.151 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.064 \| good	22.071 \| good	17.362 \| good	3.417 \| good	3.5 \| good	0.146 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.238 \| good	18.738 \| good	18.128 \| good	3.199 \| good	3.228 \| good	0.14 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.573 \| good	15.966 \| good	20.498 \| good	2.981 \| good	2.957 \| good	0.135 \| good
2025-10-21T13:00:00.000Z	23 \| good	3.789 \| good	16.325 \| good	25.003 \| good	2.777 \| good	2.794 \| good	0.135 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.168 \| good	18.123 \| good	29.13 \| good	2.573 \| good	2.63 \| good	0.134 \| good
2025-10-21T15:00:00.000Z	25 \| good	4.256 \| good	18.901 \| good	27.288 \| good	2.368 \| good	2.467 \| good	0.134 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.911 \| good	21.123 \| good	28.016 \| good	2.83 \| good	2.422 \| good	0.136 \| good
2025-10-21T17:00:00.000Z	33 \| good	6.349 \| good	28.281 \| good	32.756 \| good	3.291 \| good	2.377 \| good	0.139 \| good
2025-10-21T18:00:00.000Z	39 \| good	7.202 \| good	31.732 \| good	41.922 \| good	3.752 \| good	2.332 \| good	0.141 \| good
2025-10-21T19:00:00.000Z	44 \| good	7.344 \| good	32.325 \| good	46.911 \| good	3.986 \| good	2.229 \| good	0.142 \| good
2025-10-21T20:00:00.000Z	40 \| good	6.055 \| good	26.903 \| good	43.042 \| good	4.22 \| good	2.127 \| good	0.142 \| good
2025-10-21T21:00:00.000Z	37 \| good	5.774 \| good	25.095 \| good	39.915 \| good	4.454 \| good	2.024 \| good	0.143 \| good
2025-10-21T22:00:00.000Z	33 \| good	5.289 \| good	22.886 \| good	36.148 \| good	3.897 \| good	2.791 \| good	0.148 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.092 \| good	27.014 \| good	30.776 \| good	3.341 \| good	3.557 \| good	0.152 \| good
2025-10-22T00:00:00.000Z	38 \| good	7.071 \| good	31.265 \| good	28.907 \| good	2.784 \| good	4.323 \| good	0.157 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.379 \| good	32.579 \| good	26.826 \| good	2.592 \| good	4.347 \| good	0.155 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.978 \| good	26.204 \| good	27.62 \| good	2.4 \| good	4.37 \| good	0.154 \| good
2025-10-22T03:00:00.000Z	33 \| good	5.508 \| good	23.777 \| good	27.651 \| good	2.208 \| good	4.394 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	27 \| good	4.217 \| good	18.54 \| good	29.063 \| good	2.324 \| good	4.169 \| good	0.149 \| good
2025-10-22T05:00:00.000Z	26 \| good	2.964 \| good	12 \| good	28.397 \| good	2.44 \| good	3.944 \| good	0.145 \| good
2025-10-22T06:00:00.000Z	26 \| good	1.728 \| good	6.877 \| good	27.852 \| good	2.557 \| good	3.719 \| good	0.142 \| good
2025-10-22T07:00:00.000Z	25 \| good	1.535 \| good	6.341 \| good	26.88 \| good	2.579 \| good	3.373 \| good	0.138 \| good
2025-10-22T08:00:00.000Z	24 \| good	2.035 \| good	8.084 \| good	26.477 \| good	2.602 \| good	3.027 \| good	0.133 \| good
2025-10-22T09:00:00.000Z	27 \| good	2.259 \| good	9.118 \| good	29.303 \| good	2.624 \| good	2.681 \| good	0.129 \| good
2025-10-22T10:00:00.000Z	27 \| good	2.478 \| good	10 \| good	28.718 \| good	2.494 \| good	2.802 \| good	0.13 \| good
2025-10-22T11:00:00.000Z	24 \| good	2.324 \| good	9.306 \| good	26.248 \| good	2.364 \| good	2.922 \| good	0.131 \| good
2025-10-22T12:00:00.000Z	23 \| good	2.542 \| good	10.429 \| good	25.447 \| good	2.234 \| good	3.042 \| good	0.132 \| good
2025-10-22T13:00:00.000Z	27 \| good	2.917 \| good	12.133 \| good	28.666 \| good	2.113 \| good	2.76 \| good	0.131 \| good
2025-10-22T14:00:00.000Z	29 \| good	2.487 \| good	10 \| good	31.001 \| good	1.992 \| good	2.477 \| good	0.13 \| good
2025-10-22T15:00:00.000Z	28 \| good	2.743 \| good	11.118 \| good	29.727 \| good	1.871 \| good	2.194 \| good	0.13 \| good
2025-10-22T16:00:00.000Z	26 \| good	3.483 \| good	15.335 \| good	28.057 \| good	1.943 \| good	2.171 \| good	0.13 \| good
2025-10-22T17:00:00.000Z	26 \| good	4.219 \| good	18.586 \| good	27.69 \| good	2.016 \| good	2.149 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	26 \| good	4.402 \| good	19.178 \| good	27.631 \| good	2.089 \| good	2.126 \| good	0.13 \| good
2025-10-22T19:00:00.000Z	27 \| good	4.615 \| good	20.222 \| good	28.08 \| good	2.2 \| good	2.497 \| good	0.132 \| good
2025-10-22T20:00:00.000Z	25 \| good	4.432 \| good	19.335 \| good	26.588 \| good	2.31 \| good	2.868 \| good	0.135 \| good
2025-10-22T21:00:00.000Z	27 \| good	5.089 \| good	21.875 \| good	25.909 \| good	2.421 \| good	3.24 \| good	0.137 \| good
2025-10-22T22:00:00.000Z	25 \| good	4.179 \| good	18.25 \| good	26.518 \| good	2.351 \| good	3.448 \| good	0.139 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.581 \| good	19.916 \| good	26.131 \| good	2.282 \| good	3.657 \| good	0.142 \| good
2025-10-23T00:00:00.000Z	23 \| good	3.44 \| good	3.442 \| good	24.543 \| good	2.219 \| good	3.854 \| good	0.144 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.003 \| good	26.764 \| good	20.689 \| good	2.11 \| good	3.697 \| good	0.142 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.608 \| good	24.011 \| good	21.693 \| good	2.008 \| good	3.529 \| good	0.141 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.545 \| good	23.845 \| good	21.898 \| good	1.906 \| good	3.36 \| good	0.139 \| good

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Major air pollutants in Indiana Borough, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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