What is the current level of PM10 in Kingston Borough, Pennsylvania?

Kingston Borough, Pennsylvania currently has a PM10 concentration of 18.164 μg/m3.

What is the current level of sulfur dioxide (SO2) in Kingston Borough, Pennsylvania?

The current sulfur dioxide (SO2) concentration in Kingston Borough, Pennsylvania is 0.503 ppb.

What is the current level of ozone (O3) in Kingston Borough, Pennsylvania?

Kingston Borough, Pennsylvania currently has an ozone (O3) concentration of 5.877 ppm.

What is the current level of nitrogen dioxide (NO2) in Kingston Borough, Pennsylvania?

The current level of nitrogen dioxide (NO2) in Kingston Borough, Pennsylvania is 12.488 ppb.

Current air quality index in Kingston Borough, Pennsylvania today

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

Stay updated with real-time air quality in Kingston 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

Kingston Borough, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Kingston Borough, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.03 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

18.16 μg/m³

155

255

425

605+

Ozone (O₃)

5.88 ppb

201

201+

Sulfur Dioxide (SO₂)

0.50 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

12.49 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.46 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Kingston Borough, Pennsylvania

Get Live Pollen Counts

Kingston Borough, Pennsylvania

Scroll To Air Quality Map

Track live Kingston Borough, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T15:00:00.000Z	38 \| good	7.372 \| good	37.321 \| good	25.467 \| good	0.228 \| good	5.292 \| good	0.361 \| good
2025-10-19T16:00:00.000Z	44 \| good	7.729 \| good	31.147 \| good	24.893 \| good	0.245 \| good	4.184 \| good	0.339 \| good
2025-10-19T17:00:00.000Z	44 \| good	7.986 \| good	36.396 \| good	36.756 \| good	0.245 \| good	3.123 \| good	0.339 \| good
2025-10-19T18:00:00.000Z	44 \| good	8.475 \| good	36.92 \| good	40.556 \| good	0.493 \| good	4.737 \| good	0.356 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.32 \| good	37.137 \| good	41.168 \| good	0.496 \| good	4.128 \| good	0.299 \| good
2025-10-19T20:00:00.000Z	49 \| good	8.817 \| good	38.247 \| good	42.324 \| good	0.307 \| good	2.676 \| good	0.299 \| good
2025-10-19T21:00:00.000Z	49 \| good	8.823 \| good	36.429 \| good	43.84 \| good	0.29 \| good	1.884 \| good	0.299 \| good
2025-10-19T22:00:00.000Z	44 \| good	7.939 \| good	36.007 \| good	43.588 \| good	0.313 \| good	2.303 \| good	0.321 \| good
2025-10-19T23:00:00.000Z	44 \| good	8.064 \| good	34.023 \| good	44.141 \| good	0.344 \| good	3.49 \| good	0.317 \| good
2025-10-20T00:00:00.000Z	44 \| good	8.14 \| good	37.992 \| good	43.316 \| good	0.331 \| good	3.114 \| good	0.317 \| good
2025-10-20T01:00:00.000Z	44 \| good	7.99 \| good	31.976 \| good	43.475 \| good	0.295 \| good	5.765 \| good	0.339 \| good
2025-10-20T02:00:00.000Z	39 \| good	7.287 \| good	32.386 \| good	42.359 \| good	0.205 \| good	4.707 \| good	0.321 \| good
2025-10-20T03:00:00.000Z	40 \| good	6.447 \| good	27.4 \| good	42.652 \| good	0.248 \| good	3.996 \| good	0.282 \| good
2025-10-20T04:00:00.000Z	37 \| good	5.799 \| good	23.855 \| good	39.529 \| good	0.226 \| good	3.496 \| good	0.282 \| good
2025-10-20T05:00:00.000Z	34 \| good	5.062 \| good	21.453 \| good	36.638 \| good	0.223 \| good	3.482 \| good	0.282 \| good
2025-10-20T06:00:00.000Z	34 \| good	4.293 \| good	17.694 \| good	37.485 \| good	0.239 \| good	2.699 \| good	0.26 \| good
2025-10-20T07:00:00.000Z	37 \| good	3.391 \| good	13.392 \| good	39.678 \| good	0.223 \| good	3.057 \| good	0.26 \| good
2025-10-20T08:00:00.000Z	31 \| good	2.819 \| good	14.674 \| good	34.179 \| good	0.214 \| good	3.585 \| good	0.226 \| good
2025-10-20T09:00:00.000Z	31 \| good	2.267 \| good	11.723 \| good	33.182 \| good	0.209 \| good	4.307 \| good	0.226 \| good
2025-10-20T10:00:00.000Z	29 \| good	1.928 \| good	6.401 \| good	30.529 \| good	0.235 \| good	5.279 \| good	0.251 \| good
2025-10-20T11:00:00.000Z	28 \| good	1.671 \| good	12.689 \| good	29.58 \| good	0.235 \| good	5.136 \| good	0.255 \| good
2025-10-20T12:00:00.000Z	30 \| good	2.077 \| good	8.2 \| good	32.267 \| good	0.229 \| good	6 \| good	0.299 \| good
2025-10-20T13:00:00.000Z	27 \| good	2.076 \| good	11.561 \| good	28.841 \| good	0.309 \| good	6.015 \| good	0.299 \| good
2025-10-20T14:00:00.000Z	23 \| good	1.51 \| good	9.851 \| good	25.018 \| good	0.288 \| good	4.145 \| good	0.316 \| good
2025-10-20T15:00:00.000Z	25 \| good	1.509 \| good	6.297 \| good	27.486 \| good	0.224 \| good	4.212 \| good	0.299 \| good
2025-10-20T16:00:00.000Z	23 \| good	1.346 \| good	7.21 \| good	25.097 \| good	0.236 \| good	3.142 \| good	0.282 \| good
2025-10-20T17:00:00.000Z	23 \| good	0.877 \| good	2.813 \| good	24.813 \| good	0.315 \| good	3.309 \| good	0.26 \| good
2025-10-20T18:00:00.000Z	26 \| good	1.08 \| good	4.99 \| good	27.731 \| good	0.215 \| good	2.783 \| good	0.219 \| good
2025-10-20T19:00:00.000Z	23 \| good	1.802 \| good	7.625 \| good	24.974 \| good	0.208 \| good	3.253 \| good	0.201 \| good
2025-10-20T20:00:00.000Z	25 \| good	2.13 \| good	10.353 \| good	26.883 \| good	0.269 \| good	3.293 \| good	0.183 \| good
2025-10-20T21:00:00.000Z	22 \| good	2.244 \| good	9.79 \| good	24.446 \| good	0.203 \| good	3.423 \| good	0.201 \| good
2025-10-20T22:00:00.000Z	24 \| good	2.311 \| good	10.251 \| good	25.571 \| good	0.433 \| good	1.077 \| good	0.183 \| good
2025-10-20T23:00:00.000Z	25 \| good	1.924 \| good	11.437 \| good	26.652 \| good	0.199 \| good	1.074 \| good	0.188 \| good
2025-10-21T00:00:00.000Z	24 \| good	2.599 \| good	10.811 \| good	26.176 \| good	0.183 \| good	1.245 \| good	0.244 \| good
2025-10-21T01:00:00.000Z	20 \| good	2.29 \| good	11.642 \| good	21.988 \| good	0.205 \| good	4.787 \| good	0.244 \| good
2025-10-21T02:00:00.000Z	19 \| good	2.945 \| good	11.752 \| good	20.584 \| good	0.204 \| good	5.461 \| good	0.223 \| good
2025-10-21T03:00:00.000Z	20 \| good	1.668 \| good	7 \| good	21.556 \| good	0.345 \| good	2.104 \| good	0.124 \| good
2025-10-21T04:00:00.000Z	19 \| good	2.908 \| good	18.438 \| good	20.76 \| good	0.219 \| good	4.159 \| good	0.249 \| good
2025-10-21T05:00:00.000Z	16 \| good	3.057 \| good	14.111 \| good	15.964 \| good	0.252 \| good	4.193 \| good	0.249 \| good
2025-10-21T06:00:00.000Z	16 \| good	2.802 \| good	10.665 \| good	16.173 \| good	0.238 \| good	3.364 \| good	0.166 \| good
2025-10-21T07:00:00.000Z	16 \| good	3.122 \| good	16.89 \| good	16.833 \| good	0.215 \| good	6.42 \| good	0.209 \| good
2025-10-21T08:00:00.000Z	16 \| good	3.078 \| good	14.925 \| good	11.191 \| good	0.254 \| good	5.663 \| good	0.189 \| good
2025-10-21T09:00:00.000Z	22 \| good	3.852 \| good	15.162 \| good	12.127 \| good	0.254 \| good	5.884 \| good	0.189 \| good
2025-10-21T10:00:00.000Z	16 \| good	3.064 \| good	13.712 \| good	5.973 \| good	0.452 \| good	9.244 \| good	0.228 \| good
2025-10-21T11:00:00.000Z	16 \| good	3.141 \| good	12.335 \| good	4.956 \| good	0.4 \| good	11.388 \| good	0.227 \| good
2025-10-21T12:00:00.000Z	16 \| good	3.395 \| good	12.6 \| good	7.566 \| good	0.352 \| good	13.033 \| good	0.38 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.026 \| good	18.164 \| good	5.877 \| good	0.503 \| good	12.488 \| good	0.46 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.026 \| good	18.164 \| good	5.877 \| good	0.503 \| good	12.488 \| good	0.46 \| good
2025-10-17T19:00:00.000Z	29 \| good	1.164 \| good	4.881 \| good	31.277 \| good	0.356 \| good	0.807 \| good	0.131 \| good
2025-10-17T20:00:00.000Z	28 \| good	1.246 \| good	5.028 \| good	30.393 \| good	0.359 \| good	0.957 \| good	0.132 \| good
2025-10-17T21:00:00.000Z	26 \| good	1.965 \| good	8.138 \| good	27.892 \| good	0.363 \| good	1.108 \| good	0.132 \| good
2025-10-17T22:00:00.000Z	20 \| good	2.2 \| good	9.066 \| good	21.99 \| good	0.411 \| good	2.354 \| good	0.145 \| good
2025-10-17T23:00:00.000Z	17 \| good	1.891 \| good	7.988 \| good	18.228 \| good	0.459 \| good	3.599 \| good	0.158 \| good
2025-10-18T00:00:00.000Z	12 \| good	2.242 \| good	9.153 \| good	12.777 \| good	0.506 \| good	4.845 \| good	0.171 \| good
2025-10-18T01:00:00.000Z	16 \| good	3.247 \| good	14.122 \| good	12.689 \| good	0.558 \| good	5.295 \| good	0.175 \| good
2025-10-18T02:00:00.000Z	16 \| good	2.771 \| good	11.338 \| good	12.995 \| good	0.61 \| good	5.745 \| good	0.18 \| good
2025-10-18T03:00:00.000Z	16 \| good	2.991 \| good	12.513 \| good	10.99 \| good	0.663 \| good	6.196 \| good	0.185 \| good
2025-10-18T04:00:00.000Z	16 \| good	2.555 \| good	10.21 \| good	8.929 \| good	0.737 \| good	6.997 \| good	0.192 \| good
2025-10-18T05:00:00.000Z	16 \| good	2.564 \| good	10.247 \| good	8.184 \| good	0.812 \| good	7.798 \| good	0.2 \| good
2025-10-18T06:00:00.000Z	11 \| good	2.179 \| good	8.785 \| good	7.704 \| good	0.886 \| good	8.6 \| good	0.207 \| good
2025-10-18T07:00:00.000Z	11 \| good	2.295 \| good	9.245 \| good	6.657 \| good	0.964 \| good	8.921 \| good	0.209 \| good
2025-10-18T08:00:00.000Z	11 \| good	2.477 \| good	10.08 \| good	6.401 \| good	1.041 \| good	9.243 \| good	0.211 \| good
2025-10-18T09:00:00.000Z	11 \| good	2.067 \| good	8.184 \| good	6.703 \| good	1.118 \| good	9.564 \| good	0.213 \| good
2025-10-18T10:00:00.000Z	11 \| good	2.193 \| good	9.07 \| good	5.582 \| good	1.188 \| good	10.554 \| good	0.226 \| good
2025-10-18T11:00:00.000Z	11 \| good	2.193 \| good	9.065 \| good	4.559 \| good	1.258 \| good	11.543 \| good	0.239 \| good
2025-10-18T12:00:00.000Z	16 \| good	3.304 \| good	14.439 \| good	4.235 \| good	1.328 \| good	12.532 \| good	0.252 \| good
2025-10-18T13:00:00.000Z	16 \| good	3.461 \| good	15.298 \| good	8.967 \| good	1.801 \| good	9.278 \| good	0.218 \| good
2025-10-18T14:00:00.000Z	17 \| good	2.815 \| good	11.457 \| good	18.308 \| good	2.273 \| good	6.024 \| good	0.184 \| good
2025-10-18T15:00:00.000Z	23 \| good	2.87 \| good	12.044 \| good	24.797 \| good	2.746 \| good	2.77 \| good	0.15 \| good
2025-10-18T16:00:00.000Z	26 \| good	2.809 \| good	11.514 \| good	28.013 \| good	3.164 \| good	2.691 \| good	0.152 \| good
2025-10-18T17:00:00.000Z	30 \| good	2.638 \| good	10.727 \| good	32.155 \| good	3.581 \| good	2.612 \| good	0.154 \| good
2025-10-18T18:00:00.000Z	33 \| good	2.945 \| good	12.037 \| good	35.929 \| good	3.999 \| good	2.533 \| good	0.156 \| good
2025-10-18T19:00:00.000Z	35 \| good	3.23 \| good	14.087 \| good	38.395 \| good	3.973 \| good	2.818 \| good	0.161 \| good
2025-10-18T20:00:00.000Z	38 \| good	3.434 \| good	14.803 \| good	41.119 \| good	3.947 \| good	3.102 \| good	0.165 \| good
2025-10-18T21:00:00.000Z	36 \| good	3.858 \| good	16.84 \| good	39.39 \| good	3.922 \| good	3.386 \| good	0.17 \| good
2025-10-18T22:00:00.000Z	28 \| good	4.18 \| good	18.433 \| good	30.152 \| good	3.82 \| good	5.397 \| good	0.192 \| good
2025-10-18T23:00:00.000Z	27 \| good	5.068 \| good	21.921 \| good	22.702 \| good	3.718 \| good	7.407 \| good	0.213 \| good
2025-10-19T00:00:00.000Z	27 \| good	5.126 \| good	21.927 \| good	20.23 \| good	3.616 \| good	9.418 \| good	0.235 \| good
2025-10-19T01:00:00.000Z	27 \| good	5.445 \| good	23.15 \| good	19.983 \| good	3.65 \| good	9.268 \| good	0.234 \| good
2025-10-19T02:00:00.000Z	33 \| good	5.53 \| good	23.842 \| good	18.147 \| good	3.685 \| good	9.119 \| good	0.232 \| good
2025-10-19T03:00:00.000Z	33 \| good	5.761 \| good	24.784 \| good	16.574 \| good	3.72 \| good	8.969 \| good	0.231 \| good
2025-10-19T04:00:00.000Z	33 \| good	6.076 \| good	26.983 \| good	16.435 \| good	3.607 \| good	8.192 \| good	0.225 \| good
2025-10-19T05:00:00.000Z	33 \| good	6.452 \| good	28.706 \| good	17.379 \| good	3.494 \| good	7.415 \| good	0.219 \| good
2025-10-19T06:00:00.000Z	38 \| good	7.081 \| good	31.243 \| good	14.07 \| good	3.382 \| good	6.638 \| good	0.214 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.155 \| good	31.759 \| good	12.726 \| good	3.163 \| good	6.131 \| good	0.207 \| good
2025-10-19T08:00:00.000Z	44 \| good	7.664 \| good	33.77 \| good	11.205 \| good	2.944 \| good	5.623 \| good	0.201 \| good
2025-10-19T09:00:00.000Z	38 \| good	7.496 \| good	33.008 \| good	10.929 \| good	2.726 \| good	5.115 \| good	0.195 \| good
2025-10-19T10:00:00.000Z	44 \| good	8.402 \| good	36.931 \| good	13.724 \| good	2.581 \| good	5.404 \| good	0.194 \| good
2025-10-19T11:00:00.000Z	49 \| good	8.917 \| good	39.1 \| good	15.448 \| good	2.437 \| good	5.692 \| good	0.193 \| good
2025-10-19T12:00:00.000Z	52 \| moderate	9.998 \| good	44.744 \| good	16.295 \| good	2.293 \| good	5.981 \| good	0.192 \| good
2025-10-19T13:00:00.000Z	49 \| good	9.413 \| good	42.171 \| good	22.015 \| good	2.203 \| good	5.055 \| good	0.187 \| good
2025-10-19T14:00:00.000Z	49 \| good	9.486 \| good	42.157 \| good	30.336 \| good	2.113 \| good	4.129 \| good	0.181 \| good
2025-10-19T15:00:00.000Z	52 \| moderate	10.085 \| good	45 \| good	37.397 \| good	2.022 \| good	3.203 \| good	0.176 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.682 \| good	43 \| good	44.455 \| good	2.048 \| good	2.765 \| good	0.179 \| good
2025-10-19T17:00:00.000Z	45 \| good	8.492 \| good	37.094 \| good	48.639 \| good	2.074 \| good	2.327 \| good	0.183 \| good
2025-10-19T18:00:00.000Z	44 \| good	6.804 \| good	30.069 \| good	48.112 \| good	2.099 \| good	1.889 \| good	0.186 \| good

Kingston borough

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Kingston Borough, Pennsylvania

0.46ppm

How accurate is Pennsylvania, USA air quality data?

The air quality data for Pennsylvania, 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

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Frequently asked questions

How frequently does the air quality data for Kingston Borough, Pennsylvania get updated?

Air quality updates for Kingston Borough, Pennsylvania are available every hour.

What time in the past 24 hours saw the poorest air quality in Kingston Borough, Pennsylvania?

Kingston Borough, Pennsylvania experienced its worst air quality at 06:00:00, 2025-10-20.

When was air quality in Kingston Borough, Pennsylvania the best over the past 24 hours?

The best air quality in Kingston Borough, Pennsylvania was observed at 12:00:00 on 2025-10-21.

What is the air quality in Kingston Borough, Pennsylvania right now?

The air quality in Kingston Borough, Pennsylvania right now is Good, with an AQI of 22.

What pollutant is most frequently found in Kingston Borough, Pennsylvania?

In Kingston Borough, Pennsylvania, PM2.5 is the most frequently found pollutant.

What can I do if the air quality in Kingston Borough, Pennsylvania is poor?

When air quality in Kingston Borough, Pennsylvania is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Kingston Borough, Pennsylvania right now?

Kingston Borough, Pennsylvania currently has a PM_2.5 concentration of 4.026 μg/m³.

What is the current level of PM₁₀ in Kingston Borough, Pennsylvania?

Kingston Borough, Pennsylvania currently has a PM₁₀ concentration of 18.164 μg/m³.

What is the current level of carbon monoxide (CO) in Kingston Borough, Pennsylvania?

The current carbon monoxide (CO) level in Kingston Borough, Pennsylvania is 0.46 ppm.

What is the current level of sulfur dioxide (SO₂) in Kingston Borough, Pennsylvania?

The current sulfur dioxide (SO₂) concentration in Kingston Borough, Pennsylvania is 0.503 ppb.

What is the current level of ozone (O₃) in Kingston Borough, Pennsylvania?

Kingston Borough, Pennsylvania currently has an ozone (O₃) concentration of 5.877 ppm.

What is the current level of nitrogen dioxide (NO₂) in Kingston Borough, Pennsylvania?

The current level of nitrogen dioxide (NO₂) in Kingston Borough, Pennsylvania is 12.488 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T15:00:00.000Z	38 \| good	7.372 \| good	37.321 \| good	25.467 \| good	0.228 \| good	5.292 \| good	0.361 \| good
2025-10-19T16:00:00.000Z	44 \| good	7.729 \| good	31.147 \| good	24.893 \| good	0.245 \| good	4.184 \| good	0.339 \| good
2025-10-19T17:00:00.000Z	44 \| good	7.986 \| good	36.396 \| good	36.756 \| good	0.245 \| good	3.123 \| good	0.339 \| good
2025-10-19T18:00:00.000Z	44 \| good	8.475 \| good	36.92 \| good	40.556 \| good	0.493 \| good	4.737 \| good	0.356 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.32 \| good	37.137 \| good	41.168 \| good	0.496 \| good	4.128 \| good	0.299 \| good
2025-10-19T20:00:00.000Z	49 \| good	8.817 \| good	38.247 \| good	42.324 \| good	0.307 \| good	2.676 \| good	0.299 \| good
2025-10-19T21:00:00.000Z	49 \| good	8.823 \| good	36.429 \| good	43.84 \| good	0.29 \| good	1.884 \| good	0.299 \| good
2025-10-19T22:00:00.000Z	44 \| good	7.939 \| good	36.007 \| good	43.588 \| good	0.313 \| good	2.303 \| good	0.321 \| good
2025-10-19T23:00:00.000Z	44 \| good	8.064 \| good	34.023 \| good	44.141 \| good	0.344 \| good	3.49 \| good	0.317 \| good
2025-10-20T00:00:00.000Z	44 \| good	8.14 \| good	37.992 \| good	43.316 \| good	0.331 \| good	3.114 \| good	0.317 \| good
2025-10-20T01:00:00.000Z	44 \| good	7.99 \| good	31.976 \| good	43.475 \| good	0.295 \| good	5.765 \| good	0.339 \| good
2025-10-20T02:00:00.000Z	39 \| good	7.287 \| good	32.386 \| good	42.359 \| good	0.205 \| good	4.707 \| good	0.321 \| good
2025-10-20T03:00:00.000Z	40 \| good	6.447 \| good	27.4 \| good	42.652 \| good	0.248 \| good	3.996 \| good	0.282 \| good
2025-10-20T04:00:00.000Z	37 \| good	5.799 \| good	23.855 \| good	39.529 \| good	0.226 \| good	3.496 \| good	0.282 \| good
2025-10-20T05:00:00.000Z	34 \| good	5.062 \| good	21.453 \| good	36.638 \| good	0.223 \| good	3.482 \| good	0.282 \| good
2025-10-20T06:00:00.000Z	34 \| good	4.293 \| good	17.694 \| good	37.485 \| good	0.239 \| good	2.699 \| good	0.26 \| good
2025-10-20T07:00:00.000Z	37 \| good	3.391 \| good	13.392 \| good	39.678 \| good	0.223 \| good	3.057 \| good	0.26 \| good
2025-10-20T08:00:00.000Z	31 \| good	2.819 \| good	14.674 \| good	34.179 \| good	0.214 \| good	3.585 \| good	0.226 \| good
2025-10-20T09:00:00.000Z	31 \| good	2.267 \| good	11.723 \| good	33.182 \| good	0.209 \| good	4.307 \| good	0.226 \| good
2025-10-20T10:00:00.000Z	29 \| good	1.928 \| good	6.401 \| good	30.529 \| good	0.235 \| good	5.279 \| good	0.251 \| good
2025-10-20T11:00:00.000Z	28 \| good	1.671 \| good	12.689 \| good	29.58 \| good	0.235 \| good	5.136 \| good	0.255 \| good
2025-10-20T12:00:00.000Z	30 \| good	2.077 \| good	8.2 \| good	32.267 \| good	0.229 \| good	6 \| good	0.299 \| good
2025-10-20T13:00:00.000Z	27 \| good	2.076 \| good	11.561 \| good	28.841 \| good	0.309 \| good	6.015 \| good	0.299 \| good
2025-10-20T14:00:00.000Z	23 \| good	1.51 \| good	9.851 \| good	25.018 \| good	0.288 \| good	4.145 \| good	0.316 \| good
2025-10-20T15:00:00.000Z	25 \| good	1.509 \| good	6.297 \| good	27.486 \| good	0.224 \| good	4.212 \| good	0.299 \| good
2025-10-20T16:00:00.000Z	23 \| good	1.346 \| good	7.21 \| good	25.097 \| good	0.236 \| good	3.142 \| good	0.282 \| good
2025-10-20T17:00:00.000Z	23 \| good	0.877 \| good	2.813 \| good	24.813 \| good	0.315 \| good	3.309 \| good	0.26 \| good
2025-10-20T18:00:00.000Z	26 \| good	1.08 \| good	4.99 \| good	27.731 \| good	0.215 \| good	2.783 \| good	0.219 \| good
2025-10-20T19:00:00.000Z	23 \| good	1.802 \| good	7.625 \| good	24.974 \| good	0.208 \| good	3.253 \| good	0.201 \| good
2025-10-20T20:00:00.000Z	25 \| good	2.13 \| good	10.353 \| good	26.883 \| good	0.269 \| good	3.293 \| good	0.183 \| good
2025-10-20T21:00:00.000Z	22 \| good	2.244 \| good	9.79 \| good	24.446 \| good	0.203 \| good	3.423 \| good	0.201 \| good
2025-10-20T22:00:00.000Z	24 \| good	2.311 \| good	10.251 \| good	25.571 \| good	0.433 \| good	1.077 \| good	0.183 \| good
2025-10-20T23:00:00.000Z	25 \| good	1.924 \| good	11.437 \| good	26.652 \| good	0.199 \| good	1.074 \| good	0.188 \| good
2025-10-21T00:00:00.000Z	24 \| good	2.599 \| good	10.811 \| good	26.176 \| good	0.183 \| good	1.245 \| good	0.244 \| good
2025-10-21T01:00:00.000Z	20 \| good	2.29 \| good	11.642 \| good	21.988 \| good	0.205 \| good	4.787 \| good	0.244 \| good
2025-10-21T02:00:00.000Z	19 \| good	2.945 \| good	11.752 \| good	20.584 \| good	0.204 \| good	5.461 \| good	0.223 \| good
2025-10-21T03:00:00.000Z	20 \| good	1.668 \| good	7 \| good	21.556 \| good	0.345 \| good	2.104 \| good	0.124 \| good
2025-10-21T04:00:00.000Z	19 \| good	2.908 \| good	18.438 \| good	20.76 \| good	0.219 \| good	4.159 \| good	0.249 \| good
2025-10-21T05:00:00.000Z	16 \| good	3.057 \| good	14.111 \| good	15.964 \| good	0.252 \| good	4.193 \| good	0.249 \| good
2025-10-21T06:00:00.000Z	16 \| good	2.802 \| good	10.665 \| good	16.173 \| good	0.238 \| good	3.364 \| good	0.166 \| good
2025-10-21T07:00:00.000Z	16 \| good	3.122 \| good	16.89 \| good	16.833 \| good	0.215 \| good	6.42 \| good	0.209 \| good
2025-10-21T08:00:00.000Z	16 \| good	3.078 \| good	14.925 \| good	11.191 \| good	0.254 \| good	5.663 \| good	0.189 \| good
2025-10-21T09:00:00.000Z	22 \| good	3.852 \| good	15.162 \| good	12.127 \| good	0.254 \| good	5.884 \| good	0.189 \| good
2025-10-21T10:00:00.000Z	16 \| good	3.064 \| good	13.712 \| good	5.973 \| good	0.452 \| good	9.244 \| good	0.228 \| good
2025-10-21T11:00:00.000Z	16 \| good	3.141 \| good	12.335 \| good	4.956 \| good	0.4 \| good	11.388 \| good	0.227 \| good
2025-10-21T12:00:00.000Z	16 \| good	3.395 \| good	12.6 \| good	7.566 \| good	0.352 \| good	13.033 \| good	0.38 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.026 \| good	18.164 \| good	5.877 \| good	0.503 \| good	12.488 \| good	0.46 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.026 \| good	18.164 \| good	5.877 \| good	0.503 \| good	12.488 \| good	0.46 \| good
2025-10-17T19:00:00.000Z	29 \| good	1.164 \| good	4.881 \| good	31.277 \| good	0.356 \| good	0.807 \| good	0.131 \| good
2025-10-17T20:00:00.000Z	28 \| good	1.246 \| good	5.028 \| good	30.393 \| good	0.359 \| good	0.957 \| good	0.132 \| good
2025-10-17T21:00:00.000Z	26 \| good	1.965 \| good	8.138 \| good	27.892 \| good	0.363 \| good	1.108 \| good	0.132 \| good
2025-10-17T22:00:00.000Z	20 \| good	2.2 \| good	9.066 \| good	21.99 \| good	0.411 \| good	2.354 \| good	0.145 \| good
2025-10-17T23:00:00.000Z	17 \| good	1.891 \| good	7.988 \| good	18.228 \| good	0.459 \| good	3.599 \| good	0.158 \| good
2025-10-18T00:00:00.000Z	12 \| good	2.242 \| good	9.153 \| good	12.777 \| good	0.506 \| good	4.845 \| good	0.171 \| good
2025-10-18T01:00:00.000Z	16 \| good	3.247 \| good	14.122 \| good	12.689 \| good	0.558 \| good	5.295 \| good	0.175 \| good
2025-10-18T02:00:00.000Z	16 \| good	2.771 \| good	11.338 \| good	12.995 \| good	0.61 \| good	5.745 \| good	0.18 \| good
2025-10-18T03:00:00.000Z	16 \| good	2.991 \| good	12.513 \| good	10.99 \| good	0.663 \| good	6.196 \| good	0.185 \| good
2025-10-18T04:00:00.000Z	16 \| good	2.555 \| good	10.21 \| good	8.929 \| good	0.737 \| good	6.997 \| good	0.192 \| good
2025-10-18T05:00:00.000Z	16 \| good	2.564 \| good	10.247 \| good	8.184 \| good	0.812 \| good	7.798 \| good	0.2 \| good
2025-10-18T06:00:00.000Z	11 \| good	2.179 \| good	8.785 \| good	7.704 \| good	0.886 \| good	8.6 \| good	0.207 \| good
2025-10-18T07:00:00.000Z	11 \| good	2.295 \| good	9.245 \| good	6.657 \| good	0.964 \| good	8.921 \| good	0.209 \| good
2025-10-18T08:00:00.000Z	11 \| good	2.477 \| good	10.08 \| good	6.401 \| good	1.041 \| good	9.243 \| good	0.211 \| good
2025-10-18T09:00:00.000Z	11 \| good	2.067 \| good	8.184 \| good	6.703 \| good	1.118 \| good	9.564 \| good	0.213 \| good
2025-10-18T10:00:00.000Z	11 \| good	2.193 \| good	9.07 \| good	5.582 \| good	1.188 \| good	10.554 \| good	0.226 \| good
2025-10-18T11:00:00.000Z	11 \| good	2.193 \| good	9.065 \| good	4.559 \| good	1.258 \| good	11.543 \| good	0.239 \| good
2025-10-18T12:00:00.000Z	16 \| good	3.304 \| good	14.439 \| good	4.235 \| good	1.328 \| good	12.532 \| good	0.252 \| good
2025-10-18T13:00:00.000Z	16 \| good	3.461 \| good	15.298 \| good	8.967 \| good	1.801 \| good	9.278 \| good	0.218 \| good
2025-10-18T14:00:00.000Z	17 \| good	2.815 \| good	11.457 \| good	18.308 \| good	2.273 \| good	6.024 \| good	0.184 \| good
2025-10-18T15:00:00.000Z	23 \| good	2.87 \| good	12.044 \| good	24.797 \| good	2.746 \| good	2.77 \| good	0.15 \| good
2025-10-18T16:00:00.000Z	26 \| good	2.809 \| good	11.514 \| good	28.013 \| good	3.164 \| good	2.691 \| good	0.152 \| good
2025-10-18T17:00:00.000Z	30 \| good	2.638 \| good	10.727 \| good	32.155 \| good	3.581 \| good	2.612 \| good	0.154 \| good
2025-10-18T18:00:00.000Z	33 \| good	2.945 \| good	12.037 \| good	35.929 \| good	3.999 \| good	2.533 \| good	0.156 \| good
2025-10-18T19:00:00.000Z	35 \| good	3.23 \| good	14.087 \| good	38.395 \| good	3.973 \| good	2.818 \| good	0.161 \| good
2025-10-18T20:00:00.000Z	38 \| good	3.434 \| good	14.803 \| good	41.119 \| good	3.947 \| good	3.102 \| good	0.165 \| good
2025-10-18T21:00:00.000Z	36 \| good	3.858 \| good	16.84 \| good	39.39 \| good	3.922 \| good	3.386 \| good	0.17 \| good
2025-10-18T22:00:00.000Z	28 \| good	4.18 \| good	18.433 \| good	30.152 \| good	3.82 \| good	5.397 \| good	0.192 \| good
2025-10-18T23:00:00.000Z	27 \| good	5.068 \| good	21.921 \| good	22.702 \| good	3.718 \| good	7.407 \| good	0.213 \| good
2025-10-19T00:00:00.000Z	27 \| good	5.126 \| good	21.927 \| good	20.23 \| good	3.616 \| good	9.418 \| good	0.235 \| good
2025-10-19T01:00:00.000Z	27 \| good	5.445 \| good	23.15 \| good	19.983 \| good	3.65 \| good	9.268 \| good	0.234 \| good
2025-10-19T02:00:00.000Z	33 \| good	5.53 \| good	23.842 \| good	18.147 \| good	3.685 \| good	9.119 \| good	0.232 \| good
2025-10-19T03:00:00.000Z	33 \| good	5.761 \| good	24.784 \| good	16.574 \| good	3.72 \| good	8.969 \| good	0.231 \| good
2025-10-19T04:00:00.000Z	33 \| good	6.076 \| good	26.983 \| good	16.435 \| good	3.607 \| good	8.192 \| good	0.225 \| good
2025-10-19T05:00:00.000Z	33 \| good	6.452 \| good	28.706 \| good	17.379 \| good	3.494 \| good	7.415 \| good	0.219 \| good
2025-10-19T06:00:00.000Z	38 \| good	7.081 \| good	31.243 \| good	14.07 \| good	3.382 \| good	6.638 \| good	0.214 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.155 \| good	31.759 \| good	12.726 \| good	3.163 \| good	6.131 \| good	0.207 \| good
2025-10-19T08:00:00.000Z	44 \| good	7.664 \| good	33.77 \| good	11.205 \| good	2.944 \| good	5.623 \| good	0.201 \| good
2025-10-19T09:00:00.000Z	38 \| good	7.496 \| good	33.008 \| good	10.929 \| good	2.726 \| good	5.115 \| good	0.195 \| good
2025-10-19T10:00:00.000Z	44 \| good	8.402 \| good	36.931 \| good	13.724 \| good	2.581 \| good	5.404 \| good	0.194 \| good
2025-10-19T11:00:00.000Z	49 \| good	8.917 \| good	39.1 \| good	15.448 \| good	2.437 \| good	5.692 \| good	0.193 \| good
2025-10-19T12:00:00.000Z	52 \| moderate	9.998 \| good	44.744 \| good	16.295 \| good	2.293 \| good	5.981 \| good	0.192 \| good
2025-10-19T13:00:00.000Z	49 \| good	9.413 \| good	42.171 \| good	22.015 \| good	2.203 \| good	5.055 \| good	0.187 \| good
2025-10-19T14:00:00.000Z	49 \| good	9.486 \| good	42.157 \| good	30.336 \| good	2.113 \| good	4.129 \| good	0.181 \| good
2025-10-19T15:00:00.000Z	52 \| moderate	10.085 \| good	45 \| good	37.397 \| good	2.022 \| good	3.203 \| good	0.176 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.682 \| good	43 \| good	44.455 \| good	2.048 \| good	2.765 \| good	0.179 \| good
2025-10-19T17:00:00.000Z	45 \| good	8.492 \| good	37.094 \| good	48.639 \| good	2.074 \| good	2.327 \| good	0.183 \| good
2025-10-19T18:00:00.000Z	44 \| good	6.804 \| good	30.069 \| good	48.112 \| good	2.099 \| good	1.889 \| good	0.186 \| good

Current air quality index in Kingston Borough, Pennsylvania today

Common air pollutants in Kingston Borough, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Kingston Borough, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Kingston Borough, Pennsylvania

Air quality in nearby cities

Kingston Borough, Pennsylvania

WilkesBarre City, Pennsylvania

Hanover Township, Pennsylvania

Nanticoke, Pennsylvania

Scranton, Pennsylvania

Dunmore, Pennsylvania

How accurate is Pennsylvania, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for Kingston Borough, Pennsylvania get updated?

What time in the past 24 hours saw the poorest air quality in Kingston Borough, Pennsylvania?

When was air quality in Kingston Borough, Pennsylvania the best over the past 24 hours?

What is the air quality in Kingston Borough, Pennsylvania right now?

What pollutant is most frequently found in Kingston Borough, Pennsylvania?

What can I do if the air quality in Kingston Borough, Pennsylvania is poor?

What is the PM2.5 concentration in Kingston Borough, Pennsylvania right now?

What is the current level of PM10 in Kingston Borough, Pennsylvania?

What is the current level of carbon monoxide (CO) in Kingston Borough, Pennsylvania?

What is the current level of sulfur dioxide (SO2) in Kingston Borough, Pennsylvania?

What is the current level of ozone (O3) in Kingston Borough, Pennsylvania?

What is the current level of nitrogen dioxide (NO2) in Kingston Borough, Pennsylvania?

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 Kingston Borough, Pennsylvania right now?

What is the current level of PM₁₀ in Kingston Borough, Pennsylvania?

What is the current level of sulfur dioxide (SO₂) in Kingston Borough, Pennsylvania?

What is the current level of ozone (O₃) in Kingston Borough, Pennsylvania?

What is the current level of nitrogen dioxide (NO₂) in Kingston Borough, Pennsylvania?