What is the current concentration of PM10 in South Windsor, Connecticut?

The current PM10 concentration at South Windsor, Connecticut is 3.439 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in South Windsor, Connecticut?

The current sulfur dioxide (SO2) concentration at South Windsor, Connecticut is 0.296 ppb.

What is the current concentration of ozone (O3) in South Windsor, Connecticut?

The current ozone (O3) concentration at South Windsor, Connecticut is 23.78 ppm.

What is the current concentration of nitrogen dioxide (NO2) in South Windsor, Connecticut?

The current nitrogen dioxide (NO2) concentration at South Windsor, Connecticut is 7.608 ppb.

South Windsor, Connecticut live air quality index now

Q: What is the current concentration of PM2.5 in South Windsor, Connecticut?

The current PM2.5 concentration at South Windsor, Connecticut is 1.527 μg/m3.

Stay updated with real-time air quality in South Windsor, Connecticut 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

South Windsor, Connecticut

Last updated: ... (Local time)

Major air pollutants in South Windsor, Connecticut

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.53 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

3.44 μg/m³

155

255

425

605+

Ozone (O₃)

23.78 ppb

201

201+

Sulfur Dioxide (SO₂)

0.30 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.61 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.14 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

South Windsor, Connecticut

Get Live Pollen Counts

South Windsor, Connecticut

Scroll To Air Quality Map

Track live South Windsor, Connecticut air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-05T04:00:00.000Z	27 \| good	4.57 \| good	9.695 \| good	15.184 \| good	0.257 \| good	29.074 \| good	0.443 \| good
2025-11-05T05:00:00.000Z	25 \| good	4.203 \| good	9.277 \| good	10.741 \| good	0.328 \| good	27.474 \| good	0.369 \| good
2025-11-05T06:00:00.000Z	25 \| good	4.162 \| good	9.329 \| good	12.491 \| good	0.322 \| good	27.06 \| good	0.365 \| good
2025-11-05T07:00:00.000Z	25 \| good	4.17 \| good	9.329 \| good	9.569 \| good	0.22 \| good	26.528 \| good	0.356 \| good
2025-11-05T08:00:00.000Z	22 \| good	3.934 \| good	9.426 \| good	9.869 \| good	0.24 \| good	22.891 \| good	0.198 \| good
2025-11-05T09:00:00.000Z	22 \| good	3.696 \| good	9.039 \| good	10.138 \| good	0.274 \| good	22.599 \| good	0.191 \| good
2025-11-05T10:00:00.000Z	22 \| good	3.52 \| good	8.515 \| good	10.629 \| good	0.306 \| good	22.267 \| good	0.271 \| good
2025-11-05T11:00:00.000Z	24 \| good	3.936 \| good	10.118 \| good	7.405 \| good	0.437 \| good	25.353 \| good	0.365 \| good
2025-11-05T12:00:00.000Z	33 \| good	5.621 \| good	12.694 \| good	5.371 \| good	0.509 \| good	27.065 \| good	0.457 \| good
2025-11-05T13:00:00.000Z	33 \| good	5.612 \| good	12.714 \| good	5.825 \| good	0.357 \| good	26.849 \| good	0.447 \| good
2025-11-05T14:00:00.000Z	27 \| good	4.819 \| good	13.35 \| good	5.565 \| good	0.473 \| good	23.479 \| good	0.601 \| good
2025-11-05T15:00:00.000Z	27 \| good	5.365 \| good	14.743 \| good	10.09 \| good	0.398 \| good	20.258 \| good	0.441 \| good
2025-11-05T16:00:00.000Z	27 \| good	4.897 \| good	15.103 \| good	18.575 \| good	0.397 \| good	21.342 \| good	0.36 \| good
2025-11-05T17:00:00.000Z	22 \| good	4.364 \| good	14.854 \| good	17.917 \| good	0.433 \| good	16.148 \| good	0.431 \| good
2025-11-05T18:00:00.000Z	23 \| good	3.972 \| good	14.282 \| good	24.872 \| good	0.406 \| good	12.72 \| good	0.285 \| good
2025-11-05T19:00:00.000Z	23 \| good	3.679 \| good	14.047 \| good	25.403 \| good	0.381 \| good	9.933 \| good	0.204 \| good
2025-11-05T20:00:00.000Z	29 \| good	3.46 \| good	13.749 \| good	31.068 \| good	0.391 \| good	8.4 \| good	0.204 \| good
2025-11-05T21:00:00.000Z	31 \| good	3.446 \| good	13.148 \| good	33.074 \| good	0.385 \| good	9.673 \| good	0.274 \| good
2025-11-05T22:00:00.000Z	32 \| good	3.705 \| good	13.216 \| good	35.138 \| good	0.374 \| good	10.85 \| good	0.351 \| good
2025-11-05T23:00:00.000Z	32 \| good	4.335 \| good	14.551 \| good	35.277 \| good	0.261 \| good	12.04 \| good	0.355 \| good
2025-11-06T00:00:00.000Z	35 \| good	5.812 \| good	16.362 \| good	37.594 \| good	0.251 \| good	10.787 \| good	0.285 \| good
2025-11-06T01:00:00.000Z	52 \| moderate	9.931 \| good	43.918 \| good	33.38 \| good	2.857 \| good	7.211 \| good	0.175 \| good
2025-11-06T02:00:00.000Z	49 \| good	8.724 \| good	38.055 \| good	36.145 \| good	2.867 \| good	6.567 \| good	0.174 \| good
2025-11-06T04:00:00.000Z	33 \| good	6.271 \| good	27.931 \| good	30.789 \| good	2.385 \| good	4.855 \| good	0.168 \| good
2025-11-06T05:00:00.000Z	31 \| good	3.033 \| good	12.117 \| good	33.203 \| good	1.894 \| good	3.787 \| good	0.163 \| good
2025-11-06T06:00:00.000Z	35 \| good	4.17 \| good	9.633 \| good	37.529 \| good	0.48 \| good	2.89 \| good	0.118 \| good
2025-11-06T07:00:00.000Z	34 \| good	3.988 \| good	8.813 \| good	37.096 \| good	0.481 \| good	2.807 \| good	0.111 \| good
2025-11-06T08:00:00.000Z	28 \| good	1.464 \| good	4.725 \| good	29.85 \| good	0.491 \| good	1.552 \| good	0.113 \| good
2025-11-06T09:00:00.000Z	29 \| good	0.845 \| good	2.615 \| good	31.463 \| good	0.45 \| good	1.399 \| good	0.119 \| good
2025-11-06T10:00:00.000Z	31 \| good	0.527 \| good	1.506 \| good	33.147 \| good	0.297 \| good	1.855 \| good	0.117 \| good
2025-11-06T11:00:00.000Z	29 \| good	0.408 \| good	1.399 \| good	30.904 \| good	0.417 \| good	2.287 \| good	0.117 \| good
2025-11-06T12:00:00.000Z	29 \| good	0.392 \| good	1.082 \| good	31.234 \| good	0.312 \| good	3.496 \| good	0.132 \| good
2025-11-06T13:00:00.000Z	31 \| good	0.392 \| good	1.082 \| good	32.83 \| good	0.424 \| good	3.855 \| good	0.112 \| good
2025-11-06T14:00:00.000Z	31 \| good	0.498 \| good	1.134 \| good	33.447 \| good	0.334 \| good	3.371 \| good	0.115 \| good
2025-11-06T15:00:00.000Z	31 \| good	0.697 \| good	1.482 \| good	33.778 \| good	0.321 \| good	3.093 \| good	0.121 \| good
2025-11-06T16:00:00.000Z	31 \| good	0.794 \| good	2.058 \| good	34.175 \| good	0.321 \| good	2.12 \| good	0.127 \| good
2025-11-06T17:00:00.000Z	31 \| good	0.947 \| good	2.716 \| good	33.851 \| good	0.359 \| good	1.977 \| good	0.121 \| good
2025-11-06T18:00:00.000Z	31 \| good	1.067 \| good	2.981 \| good	34.471 \| good	0.332 \| good	2.058 \| good	0.121 \| good
2025-11-06T19:00:00.000Z	31 \| good	1.144 \| good	3.064 \| good	34.35 \| good	0.391 \| good	2.042 \| good	0.121 \| good
2025-11-06T20:00:00.000Z	31 \| good	1.165 \| good	3.115 \| good	34.484 \| good	0.408 \| good	2.474 \| good	0.125 \| good
2025-11-06T21:00:00.000Z	30 \| good	1.167 \| good	3.716 \| good	31.8 \| good	0.321 \| good	2.6 \| good	0.127 \| good
2025-11-06T22:00:00.000Z	27 \| good	1.085 \| good	3.716 \| good	29.295 \| good	0.295 \| good	3.212 \| good	0.127 \| good
2025-11-06T23:00:00.000Z	28 \| good	1.128 \| good	3.14 \| good	30.393 \| good	0.238 \| good	4.139 \| good	0.138 \| good
2025-11-07T00:00:00.000Z	29 \| good	1.186 \| good	3.192 \| good	31.01 \| good	0.206 \| good	4.985 \| good	0.209 \| good
2025-11-07T01:00:00.000Z	27 \| good	1.353 \| good	3.274 \| good	28.917 \| good	0.261 \| good	8.782 \| good	0.133 \| good
2025-11-07T02:00:00.000Z	22 \| good	1.527 \| good	3.439 \| good	23.78 \| good	0.296 \| good	7.608 \| good	0.138 \| good
2025-11-07T03:00:00.000Z	22 \| good	1.527 \| good	3.439 \| good	23.78 \| good	0.296 \| good	7.608 \| good	0.138 \| good
2025-11-07T03:00:00.000Z	22 \| good	4.352 \| good	18.871 \| good	14.104 \| good	0.515 \| good	4.633 \| good	0.149 \| good
2025-11-07T04:00:00.000Z	22 \| good	4.032 \| good	17.724 \| good	14.249 \| good	0.537 \| good	4.829 \| good	0.151 \| good
2025-11-07T05:00:00.000Z	22 \| good	4.186 \| good	18.495 \| good	13.178 \| good	0.559 \| good	5.024 \| good	0.153 \| good
2025-11-07T06:00:00.000Z	27 \| good	5.376 \| good	22.991 \| good	11.862 \| good	0.581 \| good	5.22 \| good	0.155 \| good
2025-11-07T07:00:00.000Z	16 \| good	3.475 \| good	15.596 \| good	9.714 \| good	0.62 \| good	5.116 \| good	0.154 \| good
2025-11-07T08:00:00.000Z	22 \| good	3.872 \| good	16.915 \| good	8.242 \| good	0.658 \| good	5.012 \| good	0.154 \| good
2025-11-07T09:00:00.000Z	22 \| good	4.071 \| good	18.108 \| good	8.663 \| good	0.696 \| good	4.908 \| good	0.153 \| good
2025-11-07T10:00:00.000Z	22 \| good	4.278 \| good	18.948 \| good	9.334 \| good	0.816 \| good	6.698 \| good	0.169 \| good
2025-11-07T11:00:00.000Z	27 \| good	5.327 \| good	23.08 \| good	8.297 \| good	0.935 \| good	8.488 \| good	0.184 \| good
2025-11-07T12:00:00.000Z	22 \| good	4.236 \| good	18.319 \| good	9.326 \| good	1.055 \| good	10.278 \| good	0.2 \| good
2025-11-07T13:00:00.000Z	22 \| good	4.205 \| good	18.377 \| good	16.568 \| good	1.31 \| good	9.521 \| good	0.191 \| good
2025-11-07T14:00:00.000Z	27 \| good	4.891 \| good	21.08 \| good	18.459 \| good	1.565 \| good	8.764 \| good	0.181 \| good
2025-11-07T15:00:00.000Z	20 \| good	2.458 \| good	10.048 \| good	21.716 \| good	1.82 \| good	8.007 \| good	0.172 \| good
2025-11-07T16:00:00.000Z	23 \| good	1.977 \| good	8.054 \| good	25.033 \| good	1.795 \| good	6.802 \| good	0.167 \| good
2025-11-07T17:00:00.000Z	27 \| good	1.312 \| good	5.208 \| good	28.548 \| good	1.77 \| good	5.598 \| good	0.162 \| good
2025-11-07T18:00:00.000Z	31 \| good	1.132 \| good	4.88 \| good	34.204 \| good	1.745 \| good	4.393 \| good	0.157 \| good
2025-11-07T19:00:00.000Z	34 \| good	0.98 \| good	3.969 \| good	37.273 \| good	1.63 \| good	3.992 \| good	0.156 \| good
2025-11-07T20:00:00.000Z	37 \| good	0.873 \| good	3.143 \| good	40.208 \| good	1.516 \| good	3.591 \| good	0.155 \| good
2025-11-07T21:00:00.000Z	39 \| good	1.175 \| good	4.847 \| good	41.987 \| good	1.401 \| good	3.19 \| good	0.155 \| good
2025-11-07T22:00:00.000Z	40 \| good	1.739 \| good	7.021 \| good	42.576 \| good	1.257 \| good	3.073 \| good	0.152 \| good
2025-11-07T23:00:00.000Z	38 \| good	2.965 \| good	12.046 \| good	40.519 \| good	1.113 \| good	2.957 \| good	0.15 \| good
2025-11-08T00:00:00.000Z	34 \| good	2.255 \| good	9.042 \| good	36.551 \| good	0.969 \| good	2.841 \| good	0.147 \| good
2025-11-08T01:00:00.000Z	31 \| good	3.744 \| good	16.077 \| good	34.337 \| good	0.956 \| good	3.018 \| good	0.143 \| good
2025-11-08T02:00:00.000Z	28 \| good	3.469 \| good	15.02 \| good	30.309 \| good	0.943 \| good	3.194 \| good	0.14 \| good
2025-11-08T03:00:00.000Z	29 \| good	4.042 \| good	17.893 \| good	31.353 \| good	0.93 \| good	3.371 \| good	0.137 \| good
2025-11-08T04:00:00.000Z	30 \| good	3.151 \| good	13.911 \| good	32.201 \| good	1.145 \| good	3.632 \| good	0.141 \| good
2025-11-08T05:00:00.000Z	31 \| good	3.818 \| good	16.915 \| good	33.343 \| good	1.359 \| good	3.893 \| good	0.146 \| good
2025-11-08T06:00:00.000Z	31 \| good	4.829 \| good	20.952 \| good	33.013 \| good	1.573 \| good	4.154 \| good	0.15 \| good
2025-11-08T07:00:00.000Z	29 \| good	5.353 \| good	23.021 \| good	30.901 \| good	1.712 \| good	4.159 \| good	0.154 \| good
2025-11-08T08:00:00.000Z	33 \| good	6.463 \| good	28.812 \| good	31.688 \| good	1.85 \| good	4.164 \| good	0.159 \| good
2025-11-08T09:00:00.000Z	38 \| good	7.093 \| good	31.617 \| good	26.936 \| good	1.988 \| good	4.169 \| good	0.163 \| good
2025-11-08T10:00:00.000Z	33 \| good	6.478 \| good	28.803 \| good	23.701 \| good	2.151 \| good	4.965 \| good	0.173 \| good
2025-11-08T11:00:00.000Z	38 \| good	7.124 \| good	31.662 \| good	23.772 \| good	2.313 \| good	5.76 \| good	0.184 \| good
2025-11-08T12:00:00.000Z	38 \| good	6.797 \| good	30.004 \| good	20.938 \| good	2.475 \| good	6.555 \| good	0.194 \| good
2025-11-08T13:00:00.000Z	38 \| good	6.54 \| good	29.051 \| good	24.645 \| good	2.122 \| good	5.115 \| good	0.186 \| good
2025-11-08T14:00:00.000Z	38 \| good	6.777 \| good	29.897 \| good	29.07 \| good	1.769 \| good	3.674 \| good	0.177 \| good
2025-11-08T15:00:00.000Z	38 \| good	6.578 \| good	29.542 \| good	28.588 \| good	1.416 \| good	2.234 \| good	0.168 \| good
2025-11-08T16:00:00.000Z	33 \| good	5.727 \| good	24.903 \| good	34.432 \| good	1.148 \| good	1.97 \| good	0.16 \| good
2025-11-08T17:00:00.000Z	35 \| good	4.493 \| good	19.793 \| good	37.604 \| good	0.879 \| good	1.706 \| good	0.153 \| good
2025-11-08T18:00:00.000Z	36 \| good	3.25 \| good	14.069 \| good	39.008 \| good	0.611 \| good	1.443 \| good	0.145 \| good
2025-11-08T19:00:00.000Z	39 \| good	3.043 \| good	12.083 \| good	41.956 \| good	0.565 \| good	2.077 \| good	0.149 \| good
2025-11-08T20:00:00.000Z	39 \| good	3.627 \| good	16 \| good	41.717 \| good	0.52 \| good	2.711 \| good	0.153 \| good
2025-11-08T21:00:00.000Z	36 \| good	4.334 \| good	18.999 \| good	38.577 \| good	0.474 \| good	3.345 \| good	0.157 \| good
2025-11-08T22:00:00.000Z	38 \| good	7.45 \| good	32.956 \| good	35.45 \| good	0.543 \| good	5.182 \| good	0.174 \| good
2025-11-08T23:00:00.000Z	56 \| moderate	11.571 \| good	51.176 \| good	32.151 \| good	0.612 \| good	7.019 \| good	0.191 \| good
2025-11-09T00:00:00.000Z	22 \| good	4 \| good	4.004 \| good	21.258 \| good	0.676 \| good	8.762 \| good	0.207 \| good
2025-11-09T01:00:00.000Z	66 \| moderate	17.08 \| fine	75.968 \| fine	21.961 \| good	0.682 \| good	7.764 \| good	0.198 \| good
2025-11-09T02:00:00.000Z	62 \| moderate	15.3 \| fine	68.346 \| fine	20.72 \| good	0.684 \| good	6.672 \| good	0.189 \| good

South Windsor

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South Windsor, Connecticut air quality map: Track AQI near you

0.17ppm

How accurate is Connecticut, USA air quality data?

Air quality data and pollutant measurements for Connecticut, 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 South Windsor, Connecticut updated?

The air quality for South Windsor, Connecticut is updated every hour.

When was the worst air quality at South Windsor, Connecticut in the last 24 hrs?

The worst air quality in South Windsor, Connecticut in the last 24 hours was observed at 06:00:00 on 2025-11-06.

When was the best air quality at South Windsor, Connecticut in the last 24 hrs?

In the last 24 hrs, the best air quality in South Windsor, Connecticut was observed at 02:00:00 on 2025-11-07.

What is the current air quality in South Windsor, Connecticut?

The current air quality in South Windsor, Connecticut is 22, categorized as Good based on real-time data.

What pollutant is the most common in South Windsor, Connecticut?

The most common pollutant in South Windsor, Connecticut is O3.

What should I do if the air quality in South Windsor, Connecticut is poor?

If the air quality in South Windsor, Connecticut is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in South Windsor, Connecticut?

The current PM_2.5 concentration at South Windsor, Connecticut is 1.527 μg/m³.

What is the current concentration of PM₁₀ in South Windsor, Connecticut?

The current PM₁₀ concentration at South Windsor, Connecticut is 3.439 μg/m³.

What is the current concentration of carbon monoxide (CO) in South Windsor, Connecticut?

The current carbon monoxide (CO) concentration at South Windsor, Connecticut is 0.138 ppm.

What is the current concentration of sulfur dioxide (SO₂) in South Windsor, Connecticut?

The current sulfur dioxide (SO₂) concentration at South Windsor, Connecticut is 0.296 ppb.

What is the current concentration of ozone (O₃) in South Windsor, Connecticut?

The current ozone (O₃) concentration at South Windsor, Connecticut is 23.78 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in South Windsor, Connecticut?

The current nitrogen dioxide (NO₂) concentration at South Windsor, Connecticut is 7.608 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-05T04:00:00.000Z	27 \| good	4.57 \| good	9.695 \| good	15.184 \| good	0.257 \| good	29.074 \| good	0.443 \| good
2025-11-05T05:00:00.000Z	25 \| good	4.203 \| good	9.277 \| good	10.741 \| good	0.328 \| good	27.474 \| good	0.369 \| good
2025-11-05T06:00:00.000Z	25 \| good	4.162 \| good	9.329 \| good	12.491 \| good	0.322 \| good	27.06 \| good	0.365 \| good
2025-11-05T07:00:00.000Z	25 \| good	4.17 \| good	9.329 \| good	9.569 \| good	0.22 \| good	26.528 \| good	0.356 \| good
2025-11-05T08:00:00.000Z	22 \| good	3.934 \| good	9.426 \| good	9.869 \| good	0.24 \| good	22.891 \| good	0.198 \| good
2025-11-05T09:00:00.000Z	22 \| good	3.696 \| good	9.039 \| good	10.138 \| good	0.274 \| good	22.599 \| good	0.191 \| good
2025-11-05T10:00:00.000Z	22 \| good	3.52 \| good	8.515 \| good	10.629 \| good	0.306 \| good	22.267 \| good	0.271 \| good
2025-11-05T11:00:00.000Z	24 \| good	3.936 \| good	10.118 \| good	7.405 \| good	0.437 \| good	25.353 \| good	0.365 \| good
2025-11-05T12:00:00.000Z	33 \| good	5.621 \| good	12.694 \| good	5.371 \| good	0.509 \| good	27.065 \| good	0.457 \| good
2025-11-05T13:00:00.000Z	33 \| good	5.612 \| good	12.714 \| good	5.825 \| good	0.357 \| good	26.849 \| good	0.447 \| good
2025-11-05T14:00:00.000Z	27 \| good	4.819 \| good	13.35 \| good	5.565 \| good	0.473 \| good	23.479 \| good	0.601 \| good
2025-11-05T15:00:00.000Z	27 \| good	5.365 \| good	14.743 \| good	10.09 \| good	0.398 \| good	20.258 \| good	0.441 \| good
2025-11-05T16:00:00.000Z	27 \| good	4.897 \| good	15.103 \| good	18.575 \| good	0.397 \| good	21.342 \| good	0.36 \| good
2025-11-05T17:00:00.000Z	22 \| good	4.364 \| good	14.854 \| good	17.917 \| good	0.433 \| good	16.148 \| good	0.431 \| good
2025-11-05T18:00:00.000Z	23 \| good	3.972 \| good	14.282 \| good	24.872 \| good	0.406 \| good	12.72 \| good	0.285 \| good
2025-11-05T19:00:00.000Z	23 \| good	3.679 \| good	14.047 \| good	25.403 \| good	0.381 \| good	9.933 \| good	0.204 \| good
2025-11-05T20:00:00.000Z	29 \| good	3.46 \| good	13.749 \| good	31.068 \| good	0.391 \| good	8.4 \| good	0.204 \| good
2025-11-05T21:00:00.000Z	31 \| good	3.446 \| good	13.148 \| good	33.074 \| good	0.385 \| good	9.673 \| good	0.274 \| good
2025-11-05T22:00:00.000Z	32 \| good	3.705 \| good	13.216 \| good	35.138 \| good	0.374 \| good	10.85 \| good	0.351 \| good
2025-11-05T23:00:00.000Z	32 \| good	4.335 \| good	14.551 \| good	35.277 \| good	0.261 \| good	12.04 \| good	0.355 \| good
2025-11-06T00:00:00.000Z	35 \| good	5.812 \| good	16.362 \| good	37.594 \| good	0.251 \| good	10.787 \| good	0.285 \| good
2025-11-06T01:00:00.000Z	52 \| moderate	9.931 \| good	43.918 \| good	33.38 \| good	2.857 \| good	7.211 \| good	0.175 \| good
2025-11-06T02:00:00.000Z	49 \| good	8.724 \| good	38.055 \| good	36.145 \| good	2.867 \| good	6.567 \| good	0.174 \| good
2025-11-06T04:00:00.000Z	33 \| good	6.271 \| good	27.931 \| good	30.789 \| good	2.385 \| good	4.855 \| good	0.168 \| good
2025-11-06T05:00:00.000Z	31 \| good	3.033 \| good	12.117 \| good	33.203 \| good	1.894 \| good	3.787 \| good	0.163 \| good
2025-11-06T06:00:00.000Z	35 \| good	4.17 \| good	9.633 \| good	37.529 \| good	0.48 \| good	2.89 \| good	0.118 \| good
2025-11-06T07:00:00.000Z	34 \| good	3.988 \| good	8.813 \| good	37.096 \| good	0.481 \| good	2.807 \| good	0.111 \| good
2025-11-06T08:00:00.000Z	28 \| good	1.464 \| good	4.725 \| good	29.85 \| good	0.491 \| good	1.552 \| good	0.113 \| good
2025-11-06T09:00:00.000Z	29 \| good	0.845 \| good	2.615 \| good	31.463 \| good	0.45 \| good	1.399 \| good	0.119 \| good
2025-11-06T10:00:00.000Z	31 \| good	0.527 \| good	1.506 \| good	33.147 \| good	0.297 \| good	1.855 \| good	0.117 \| good
2025-11-06T11:00:00.000Z	29 \| good	0.408 \| good	1.399 \| good	30.904 \| good	0.417 \| good	2.287 \| good	0.117 \| good
2025-11-06T12:00:00.000Z	29 \| good	0.392 \| good	1.082 \| good	31.234 \| good	0.312 \| good	3.496 \| good	0.132 \| good
2025-11-06T13:00:00.000Z	31 \| good	0.392 \| good	1.082 \| good	32.83 \| good	0.424 \| good	3.855 \| good	0.112 \| good
2025-11-06T14:00:00.000Z	31 \| good	0.498 \| good	1.134 \| good	33.447 \| good	0.334 \| good	3.371 \| good	0.115 \| good
2025-11-06T15:00:00.000Z	31 \| good	0.697 \| good	1.482 \| good	33.778 \| good	0.321 \| good	3.093 \| good	0.121 \| good
2025-11-06T16:00:00.000Z	31 \| good	0.794 \| good	2.058 \| good	34.175 \| good	0.321 \| good	2.12 \| good	0.127 \| good
2025-11-06T17:00:00.000Z	31 \| good	0.947 \| good	2.716 \| good	33.851 \| good	0.359 \| good	1.977 \| good	0.121 \| good
2025-11-06T18:00:00.000Z	31 \| good	1.067 \| good	2.981 \| good	34.471 \| good	0.332 \| good	2.058 \| good	0.121 \| good
2025-11-06T19:00:00.000Z	31 \| good	1.144 \| good	3.064 \| good	34.35 \| good	0.391 \| good	2.042 \| good	0.121 \| good
2025-11-06T20:00:00.000Z	31 \| good	1.165 \| good	3.115 \| good	34.484 \| good	0.408 \| good	2.474 \| good	0.125 \| good
2025-11-06T21:00:00.000Z	30 \| good	1.167 \| good	3.716 \| good	31.8 \| good	0.321 \| good	2.6 \| good	0.127 \| good
2025-11-06T22:00:00.000Z	27 \| good	1.085 \| good	3.716 \| good	29.295 \| good	0.295 \| good	3.212 \| good	0.127 \| good
2025-11-06T23:00:00.000Z	28 \| good	1.128 \| good	3.14 \| good	30.393 \| good	0.238 \| good	4.139 \| good	0.138 \| good
2025-11-07T00:00:00.000Z	29 \| good	1.186 \| good	3.192 \| good	31.01 \| good	0.206 \| good	4.985 \| good	0.209 \| good
2025-11-07T01:00:00.000Z	27 \| good	1.353 \| good	3.274 \| good	28.917 \| good	0.261 \| good	8.782 \| good	0.133 \| good
2025-11-07T02:00:00.000Z	22 \| good	1.527 \| good	3.439 \| good	23.78 \| good	0.296 \| good	7.608 \| good	0.138 \| good
2025-11-07T03:00:00.000Z	22 \| good	1.527 \| good	3.439 \| good	23.78 \| good	0.296 \| good	7.608 \| good	0.138 \| good
2025-11-07T03:00:00.000Z	22 \| good	4.352 \| good	18.871 \| good	14.104 \| good	0.515 \| good	4.633 \| good	0.149 \| good
2025-11-07T04:00:00.000Z	22 \| good	4.032 \| good	17.724 \| good	14.249 \| good	0.537 \| good	4.829 \| good	0.151 \| good
2025-11-07T05:00:00.000Z	22 \| good	4.186 \| good	18.495 \| good	13.178 \| good	0.559 \| good	5.024 \| good	0.153 \| good
2025-11-07T06:00:00.000Z	27 \| good	5.376 \| good	22.991 \| good	11.862 \| good	0.581 \| good	5.22 \| good	0.155 \| good
2025-11-07T07:00:00.000Z	16 \| good	3.475 \| good	15.596 \| good	9.714 \| good	0.62 \| good	5.116 \| good	0.154 \| good
2025-11-07T08:00:00.000Z	22 \| good	3.872 \| good	16.915 \| good	8.242 \| good	0.658 \| good	5.012 \| good	0.154 \| good
2025-11-07T09:00:00.000Z	22 \| good	4.071 \| good	18.108 \| good	8.663 \| good	0.696 \| good	4.908 \| good	0.153 \| good
2025-11-07T10:00:00.000Z	22 \| good	4.278 \| good	18.948 \| good	9.334 \| good	0.816 \| good	6.698 \| good	0.169 \| good
2025-11-07T11:00:00.000Z	27 \| good	5.327 \| good	23.08 \| good	8.297 \| good	0.935 \| good	8.488 \| good	0.184 \| good
2025-11-07T12:00:00.000Z	22 \| good	4.236 \| good	18.319 \| good	9.326 \| good	1.055 \| good	10.278 \| good	0.2 \| good
2025-11-07T13:00:00.000Z	22 \| good	4.205 \| good	18.377 \| good	16.568 \| good	1.31 \| good	9.521 \| good	0.191 \| good
2025-11-07T14:00:00.000Z	27 \| good	4.891 \| good	21.08 \| good	18.459 \| good	1.565 \| good	8.764 \| good	0.181 \| good
2025-11-07T15:00:00.000Z	20 \| good	2.458 \| good	10.048 \| good	21.716 \| good	1.82 \| good	8.007 \| good	0.172 \| good
2025-11-07T16:00:00.000Z	23 \| good	1.977 \| good	8.054 \| good	25.033 \| good	1.795 \| good	6.802 \| good	0.167 \| good
2025-11-07T17:00:00.000Z	27 \| good	1.312 \| good	5.208 \| good	28.548 \| good	1.77 \| good	5.598 \| good	0.162 \| good
2025-11-07T18:00:00.000Z	31 \| good	1.132 \| good	4.88 \| good	34.204 \| good	1.745 \| good	4.393 \| good	0.157 \| good
2025-11-07T19:00:00.000Z	34 \| good	0.98 \| good	3.969 \| good	37.273 \| good	1.63 \| good	3.992 \| good	0.156 \| good
2025-11-07T20:00:00.000Z	37 \| good	0.873 \| good	3.143 \| good	40.208 \| good	1.516 \| good	3.591 \| good	0.155 \| good
2025-11-07T21:00:00.000Z	39 \| good	1.175 \| good	4.847 \| good	41.987 \| good	1.401 \| good	3.19 \| good	0.155 \| good
2025-11-07T22:00:00.000Z	40 \| good	1.739 \| good	7.021 \| good	42.576 \| good	1.257 \| good	3.073 \| good	0.152 \| good
2025-11-07T23:00:00.000Z	38 \| good	2.965 \| good	12.046 \| good	40.519 \| good	1.113 \| good	2.957 \| good	0.15 \| good
2025-11-08T00:00:00.000Z	34 \| good	2.255 \| good	9.042 \| good	36.551 \| good	0.969 \| good	2.841 \| good	0.147 \| good
2025-11-08T01:00:00.000Z	31 \| good	3.744 \| good	16.077 \| good	34.337 \| good	0.956 \| good	3.018 \| good	0.143 \| good
2025-11-08T02:00:00.000Z	28 \| good	3.469 \| good	15.02 \| good	30.309 \| good	0.943 \| good	3.194 \| good	0.14 \| good
2025-11-08T03:00:00.000Z	29 \| good	4.042 \| good	17.893 \| good	31.353 \| good	0.93 \| good	3.371 \| good	0.137 \| good
2025-11-08T04:00:00.000Z	30 \| good	3.151 \| good	13.911 \| good	32.201 \| good	1.145 \| good	3.632 \| good	0.141 \| good
2025-11-08T05:00:00.000Z	31 \| good	3.818 \| good	16.915 \| good	33.343 \| good	1.359 \| good	3.893 \| good	0.146 \| good
2025-11-08T06:00:00.000Z	31 \| good	4.829 \| good	20.952 \| good	33.013 \| good	1.573 \| good	4.154 \| good	0.15 \| good
2025-11-08T07:00:00.000Z	29 \| good	5.353 \| good	23.021 \| good	30.901 \| good	1.712 \| good	4.159 \| good	0.154 \| good
2025-11-08T08:00:00.000Z	33 \| good	6.463 \| good	28.812 \| good	31.688 \| good	1.85 \| good	4.164 \| good	0.159 \| good
2025-11-08T09:00:00.000Z	38 \| good	7.093 \| good	31.617 \| good	26.936 \| good	1.988 \| good	4.169 \| good	0.163 \| good
2025-11-08T10:00:00.000Z	33 \| good	6.478 \| good	28.803 \| good	23.701 \| good	2.151 \| good	4.965 \| good	0.173 \| good
2025-11-08T11:00:00.000Z	38 \| good	7.124 \| good	31.662 \| good	23.772 \| good	2.313 \| good	5.76 \| good	0.184 \| good
2025-11-08T12:00:00.000Z	38 \| good	6.797 \| good	30.004 \| good	20.938 \| good	2.475 \| good	6.555 \| good	0.194 \| good
2025-11-08T13:00:00.000Z	38 \| good	6.54 \| good	29.051 \| good	24.645 \| good	2.122 \| good	5.115 \| good	0.186 \| good
2025-11-08T14:00:00.000Z	38 \| good	6.777 \| good	29.897 \| good	29.07 \| good	1.769 \| good	3.674 \| good	0.177 \| good
2025-11-08T15:00:00.000Z	38 \| good	6.578 \| good	29.542 \| good	28.588 \| good	1.416 \| good	2.234 \| good	0.168 \| good
2025-11-08T16:00:00.000Z	33 \| good	5.727 \| good	24.903 \| good	34.432 \| good	1.148 \| good	1.97 \| good	0.16 \| good
2025-11-08T17:00:00.000Z	35 \| good	4.493 \| good	19.793 \| good	37.604 \| good	0.879 \| good	1.706 \| good	0.153 \| good
2025-11-08T18:00:00.000Z	36 \| good	3.25 \| good	14.069 \| good	39.008 \| good	0.611 \| good	1.443 \| good	0.145 \| good
2025-11-08T19:00:00.000Z	39 \| good	3.043 \| good	12.083 \| good	41.956 \| good	0.565 \| good	2.077 \| good	0.149 \| good
2025-11-08T20:00:00.000Z	39 \| good	3.627 \| good	16 \| good	41.717 \| good	0.52 \| good	2.711 \| good	0.153 \| good
2025-11-08T21:00:00.000Z	36 \| good	4.334 \| good	18.999 \| good	38.577 \| good	0.474 \| good	3.345 \| good	0.157 \| good
2025-11-08T22:00:00.000Z	38 \| good	7.45 \| good	32.956 \| good	35.45 \| good	0.543 \| good	5.182 \| good	0.174 \| good
2025-11-08T23:00:00.000Z	56 \| moderate	11.571 \| good	51.176 \| good	32.151 \| good	0.612 \| good	7.019 \| good	0.191 \| good
2025-11-09T00:00:00.000Z	22 \| good	4 \| good	4.004 \| good	21.258 \| good	0.676 \| good	8.762 \| good	0.207 \| good
2025-11-09T01:00:00.000Z	66 \| moderate	17.08 \| fine	75.968 \| fine	21.961 \| good	0.682 \| good	7.764 \| good	0.198 \| good
2025-11-09T02:00:00.000Z	62 \| moderate	15.3 \| fine	68.346 \| fine	20.72 \| good	0.684 \| good	6.672 \| good	0.189 \| good

South Windsor, Connecticut live air quality index now

Major air pollutants in South Windsor, Connecticut

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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South Windsor, Connecticut air quality map: Track AQI near you

Air quality in nearby cities

Windsor, Connecticut

East Windsor, Connecticut

Vernon, Connecticut

Manchester, Connecticut

East Hartford, Connecticut

Windsor Locks, Connecticut

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Frequently asked questions

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What is the current concentration of PM2.5 in South Windsor, Connecticut?

What is the current concentration of PM10 in South Windsor, Connecticut?

What is the current concentration of carbon monoxide (CO) in South Windsor, Connecticut?

What is the current concentration of sulfur dioxide (SO2) in South Windsor, Connecticut?

What is the current concentration of ozone (O3) in South Windsor, Connecticut?

What is the current concentration of nitrogen dioxide (NO2) in South Windsor, Connecticut?

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 South Windsor, Connecticut?

What is the current concentration of PM₁₀ in South Windsor, Connecticut?

What is the current concentration of sulfur dioxide (SO₂) in South Windsor, Connecticut?

What is the current concentration of ozone (O₃) in South Windsor, Connecticut?

What is the current concentration of nitrogen dioxide (NO₂) in South Windsor, Connecticut?