What are the current PM10 levels at Wethersfield, Connecticut?

The current PM10 levels in Wethersfield, Connecticut are 17.915 μg/m3.

What are the current sulfur dioxide (SO2) levels at Wethersfield, Connecticut?

The current sulfur dioxide (SO2) levels in Wethersfield, Connecticut are 0.222 ppb.

What are the current ozone (O3) levels at Wethersfield, Connecticut?

The current ozone (O3) levels at Wethersfield, Connecticut is 29.934 ppm.

What are the current nitrogen dioxide (NO2) levels at Wethersfield, Connecticut?

The current nitrogen dioxide (NO2) levels at Wethersfield, Connecticut is 16.38 ppb.

Real-time air quality index in Wethersfield, Connecticut today

Q: What are the current PM2.5 levels in Wethersfield, Connecticut?

The measured PM2.5 levels in Wethersfield, Connecticut at present are 6.658 μg/m3.

Stay updated with real-time air quality in Wethersfield, 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

Wethersfield, Connecticut

Last updated: ... (Local time)

Common air pollutants in Wethersfield, Connecticut

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.66 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

17.91 μg/m³

155

255

425

605+

Ozone (O₃)

29.93 ppb

201

201+

Sulfur Dioxide (SO₂)

0.22 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

16.38 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.28 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Wethersfield, Connecticut

Get Live Pollen Counts

Wethersfield, Connecticut

Scroll To Air Quality Map

Track live Wethersfield, Connecticut air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T14:00:00.000Z	30 \| good	1.92 \| good	5.919 \| good	32.381 \| good	0.257 \| good	3.076 \| good	0.14 \| good
2026-05-12T15:00:00.000Z	31 \| good	1.76 \| good	6.596 \| good	32.575 \| good	0.281 \| good	1.738 \| good	0.14 \| good
2026-05-12T16:00:00.000Z	30 \| good	1.479 \| good	5.358 \| good	32.114 \| good	0.244 \| good	1.587 \| good	0.14 \| good
2026-05-12T17:00:00.000Z	31 \| good	1.395 \| good	4.196 \| good	34.203 \| good	0.197 \| good	1.951 \| good	0.133 \| good
2026-05-12T18:00:00.000Z	33 \| good	1.346 \| good	4.428 \| good	36.038 \| good	0.217 \| good	1.694 \| good	0.14 \| good
2026-05-12T19:00:00.000Z	36 \| good	1.183 \| good	5.491 \| good	39.292 \| good	0.217 \| good	1.926 \| good	0.14 \| good
2026-05-12T20:00:00.000Z	34 \| good	0.993 \| good	9.354 \| good	36.575 \| good	0.229 \| good	2.051 \| good	0.134 \| good
2026-05-12T21:00:00.000Z	35 \| good	1.014 \| good	4.378 \| good	38.464 \| good	0.252 \| good	2.227 \| good	0.134 \| good
2026-05-12T22:00:00.000Z	36 \| good	1.303 \| good	6.442 \| good	39.171 \| good	0.197 \| good	2.761 \| good	0.128 \| good
2026-05-12T23:00:00.000Z	37 \| good	1.276 \| good	4.868 \| good	39.743 \| good	0.181 \| good	2.846 \| good	0.134 \| good
2026-05-13T00:00:00.000Z	34 \| good	1.273 \| good	5.753 \| good	37.035 \| good	0.155 \| good	4.226 \| good	0.134 \| good
2026-05-13T01:00:00.000Z	32 \| good	1.754 \| good	13.849 \| good	35.486 \| good	0.155 \| good	14.285 \| good	0.13 \| good
2026-05-13T02:00:00.000Z	31 \| good	2.494 \| good	13.634 \| good	33.123 \| good	0.21 \| good	11.926 \| good	0.265 \| good
2026-05-13T03:00:00.000Z	33 \| good	6.395 \| good	28.113 \| good	25.278 \| good	0.458 \| good	25.919 \| good	0.318 \| good
2026-05-13T04:00:00.000Z	31 \| good	2.932 \| good	12.567 \| good	33.938 \| good	0.204 \| good	10.346 \| good	0.207 \| good
2026-05-13T05:00:00.000Z	31 \| good	3.299 \| good	10.305 \| good	33.808 \| good	0.183 \| good	11.934 \| good	0.156 \| good
2026-05-13T06:00:00.000Z	24 \| good	3.272 \| good	12.858 \| good	25.762 \| good	0.2 \| good	14.106 \| good	0.134 \| good
2026-05-13T07:00:00.000Z	24 \| good	3.224 \| good	14.27 \| good	26.142 \| good	0.191 \| good	14.353 \| good	0.117 \| good
2026-05-13T08:00:00.000Z	24 \| good	3.207 \| good	9.242 \| good	26.444 \| good	0.202 \| good	9.236 \| good	0.124 \| good
2026-05-13T09:00:00.000Z	25 \| good	3.645 \| good	13.301 \| good	27.072 \| good	0.307 \| good	8.088 \| good	0.142 \| good
2026-05-13T10:00:00.000Z	33 \| good	3.712 \| good	11.852 \| good	36.459 \| good	0.275 \| good	7.052 \| good	0.2 \| good
2026-05-13T11:00:00.000Z	31 \| good	4.349 \| good	13.726 \| good	32.716 \| good	0.278 \| good	9.942 \| good	0.239 \| good
2026-05-13T12:00:00.000Z	28 \| good	4.436 \| good	14.284 \| good	29.501 \| good	0.24 \| good	10.573 \| good	0.239 \| good
2026-05-13T13:00:00.000Z	31 \| good	4.585 \| good	14.178 \| good	32.743 \| good	0.24 \| good	11.974 \| good	0.246 \| good
2026-05-13T14:00:00.000Z	38 \| good	7.103 \| good	21.208 \| good	29.731 \| good	0.242 \| good	12.406 \| good	0.245 \| good
2026-05-13T15:00:00.000Z	38 \| good	7.249 \| good	21.943 \| good	35.677 \| good	0.209 \| good	11.064 \| good	0.192 \| good
2026-05-13T16:00:00.000Z	49 \| good	8.841 \| good	39.044 \| good	46.54 \| good	0.385 \| good	2.707 \| good	0.152 \| good
2026-05-13T17:00:00.000Z	43 \| good	6.587 \| good	18.987 \| good	46.327 \| good	0.226 \| good	10.907 \| good	0.187 \| good
2026-05-13T18:00:00.000Z	36 \| good	6.208 \| good	18.307 \| good	38.686 \| good	0.21 \| good	9.29 \| good	0.192 \| good
2026-05-13T19:00:00.000Z	42 \| good	6.45 \| good	19.275 \| good	44.928 \| good	0.25 \| good	8.203 \| good	0.187 \| good
2026-05-13T20:00:00.000Z	48 \| good	6.888 \| good	24.701 \| good	51.829 \| good	0.269 \| good	8.905 \| good	0.192 \| good
2026-05-13T21:00:00.000Z	46 \| good	6.102 \| good	25.868 \| good	50.256 \| good	0.257 \| good	9.01 \| good	0.192 \| good
2026-05-13T22:00:00.000Z	51 \| moderate	5.795 \| good	25.165 \| good	55.414 \| fine	0.248 \| good	9.931 \| good	0.187 \| good
2026-05-13T23:00:00.000Z	49 \| good	5.567 \| good	24.092 \| good	52.737 \| good	0.216 \| good	8.307 \| good	0.192 \| good
2026-05-14T00:00:00.000Z	48 \| good	5.108 \| good	21.987 \| good	51.872 \| good	0.205 \| good	7.218 \| good	0.187 \| good
2026-05-14T01:00:00.000Z	47 \| good	5.074 \| good	14.624 \| good	50.883 \| good	0.205 \| good	6.059 \| good	0.134 \| good
2026-05-14T02:00:00.000Z	49 \| good	5.211 \| good	14.926 \| good	53.161 \| good	0.242 \| good	6.012 \| good	0.187 \| good
2026-05-14T03:00:00.000Z	47 \| good	5.25 \| good	15.047 \| good	50.904 \| good	0.242 \| good	5.231 \| good	0.134 \| good
2026-05-14T04:00:00.000Z	46 \| good	5.194 \| good	15.434 \| good	50.177 \| good	0.242 \| good	5.012 \| good	0.128 \| good
2026-05-14T05:00:00.000Z	45 \| good	5.236 \| good	14.462 \| good	49.471 \| good	0.242 \| good	4.503 \| good	0.128 \| good
2026-05-14T06:00:00.000Z	44 \| good	5.19 \| good	13.021 \| good	47.394 \| good	0.221 \| good	5.366 \| good	0.128 \| good
2026-05-14T07:00:00.000Z	44 \| good	5.316 \| good	16.063 \| good	46.817 \| good	0.221 \| good	4.891 \| good	0.108 \| good
2026-05-14T08:00:00.000Z	44 \| good	5.331 \| good	16.997 \| good	46.595 \| good	0.244 \| good	5.005 \| good	0.128 \| good
2026-05-14T09:00:00.000Z	40 \| good	5.368 \| good	12.435 \| good	43.186 \| good	0.221 \| good	6.156 \| good	0.128 \| good
2026-05-14T10:00:00.000Z	38 \| good	5.209 \| good	14.767 \| good	41.449 \| good	0.252 \| good	7.989 \| good	0.14 \| good
2026-05-14T11:00:00.000Z	33 \| good	5.951 \| good	13.497 \| good	33.08 \| good	0.24 \| good	11.091 \| good	0.211 \| good
2026-05-14T12:00:00.000Z	33 \| good	6.179 \| good	21.418 \| good	36.185 \| good	0.224 \| good	15.286 \| good	0.257 \| good
2026-05-14T13:00:00.000Z	33 \| good	6.036 \| good	13.693 \| good	26.401 \| good	0.224 \| good	14.911 \| good	0.255 \| good
2026-05-14T13:00:00.000Z	38 \| good	6.658 \| good	17.915 \| good	29.934 \| good	0.222 \| good	16.38 \| good	0.281 \| good
2026-05-14T14:00:00.000Z	28 \| good	3.389 \| good	14.703 \| good	29.723 \| good	0.137 \| good	2.747 \| good	0.145 \| good
2026-05-14T15:00:00.000Z	28 \| good	4.147 \| good	18.52 \| good	29.964 \| good	0.156 \| good	1.959 \| good	0.138 \| good
2026-05-14T16:00:00.000Z	31 \| good	4.118 \| good	17.995 \| good	34.259 \| good	0.164 \| good	1.619 \| good	0.136 \| good
2026-05-14T17:00:00.000Z	36 \| good	4.02 \| good	17.601 \| good	38.707 \| good	0.149 \| good	1.666 \| good	0.136 \| good
2026-05-14T18:00:00.000Z	31 \| good	4.559 \| good	19.676 \| good	32.727 \| good	0.141 \| good	1.972 \| good	0.143 \| good
2026-05-14T19:00:00.000Z	33 \| good	4.028 \| good	17.867 \| good	36.442 \| good	0.146 \| good	1.738 \| good	0.141 \| good
2026-05-14T20:00:00.000Z	41 \| good	2.886 \| good	11.867 \| good	43.673 \| good	0.16 \| good	1.554 \| good	0.14 \| good
2026-05-14T21:00:00.000Z	46 \| good	2.868 \| good	11.834 \| good	50.163 \| good	0.186 \| good	1.813 \| good	0.144 \| good
2026-05-14T22:00:00.000Z	46 \| good	3.913 \| good	17.253 \| good	49.716 \| good	0.19 \| good	2.562 \| good	0.153 \| good
2026-05-14T23:00:00.000Z	43 \| good	5.089 \| good	21.968 \| good	46.039 \| good	0.181 \| good	4.164 \| good	0.169 \| good
2026-05-15T00:00:00.000Z	38 \| good	7.433 \| good	32.771 \| good	40.152 \| good	0.2 \| good	9.489 \| good	0.217 \| good
2026-05-15T01:00:00.000Z	49 \| good	9.057 \| good	40.5 \| good	32.714 \| good	0.246 \| good	15.731 \| good	0.265 \| good
2026-05-15T02:00:00.000Z	49 \| good	9.129 \| good	40.319 \| good	29.736 \| good	0.267 \| good	17.526 \| good	0.282 \| good
2026-05-15T03:00:00.000Z	49 \| good	9.128 \| good	40.411 \| good	30.736 \| good	0.244 \| good	13.281 \| good	0.249 \| good
2026-05-15T04:00:00.000Z	44 \| good	8.273 \| good	36.184 \| good	31.831 \| good	0.208 \| good	8.988 \| good	0.216 \| good
2026-05-15T05:00:00.000Z	44 \| good	7.58 \| good	33.382 \| good	32.668 \| good	0.18 \| good	6.834 \| good	0.195 \| good
2026-05-15T06:00:00.000Z	44 \| good	7.676 \| good	34.018 \| good	31.947 \| good	0.155 \| good	5.545 \| good	0.182 \| good
2026-05-15T07:00:00.000Z	38 \| good	6.873 \| good	30.404 \| good	28.997 \| good	0.141 \| good	3.88 \| good	0.165 \| good
2026-05-15T08:00:00.000Z	38 \| good	6.962 \| good	30.954 \| good	27.668 \| good	0.154 \| good	3.476 \| good	0.161 \| good
2026-05-15T09:00:00.000Z	38 \| good	7.374 \| good	32.368 \| good	25.322 \| good	0.176 \| good	3.52 \| good	0.16 \| good
2026-05-15T10:00:00.000Z	44 \| good	7.958 \| good	34.749 \| good	22.035 \| good	0.19 \| good	3.436 \| good	0.158 \| good
2026-05-15T11:00:00.000Z	38 \| good	7.242 \| good	31.921 \| good	22.126 \| good	0.187 \| good	3.422 \| good	0.156 \| good
2026-05-15T12:00:00.000Z	33 \| good	6.227 \| good	27.901 \| good	27.926 \| good	0.173 \| good	3.377 \| good	0.154 \| good
2026-05-15T13:00:00.000Z	38 \| good	6.556 \| good	29.122 \| good	26.292 \| good	0.149 \| good	2.754 \| good	0.147 \| good
2026-05-15T14:00:00.000Z	27 \| good	5.39 \| good	23.802 \| good	27.601 \| good	0.131 \| good	2.283 \| good	0.141 \| good
2026-05-15T15:00:00.000Z	33 \| good	3.79 \| good	16.7 \| good	36.36 \| good	0.12 \| good	1.795 \| good	0.136 \| good
2026-05-15T16:00:00.000Z	33 \| good	4.366 \| good	19.129 \| good	36.362 \| good	0.109 \| good	1.393 \| good	0.131 \| good
2026-05-15T17:00:00.000Z	33 \| good	5.215 \| good	22.498 \| good	36.266 \| good	0.112 \| good	1.501 \| good	0.131 \| good
2026-05-15T18:00:00.000Z	34 \| good	5.087 \| good	21.859 \| good	37.191 \| good	0.117 \| good	1.367 \| good	0.129 \| good
2026-05-15T19:00:00.000Z	34 \| good	3.962 \| good	17.399 \| good	37.198 \| good	0.123 \| good	1.285 \| good	0.127 \| good
2026-05-15T20:00:00.000Z	33 \| good	4.597 \| good	19.877 \| good	36.026 \| good	0.13 \| good	1.316 \| good	0.127 \| good
2026-05-15T21:00:00.000Z	32 \| good	5.052 \| good	21.755 \| good	35.463 \| good	0.133 \| good	1.552 \| good	0.13 \| good
2026-05-15T22:00:00.000Z	33 \| good	3.637 \| good	15.869 \| good	35.641 \| good	0.137 \| good	2.292 \| good	0.138 \| good
2026-05-15T23:00:00.000Z	37 \| good	3.382 \| good	14.691 \| good	40.249 \| good	0.145 \| good	3.645 \| good	0.15 \| good
2026-05-16T00:00:00.000Z	34 \| good	4.015 \| good	17.544 \| good	37.092 \| good	0.165 \| good	5.992 \| good	0.168 \| good
2026-05-16T01:00:00.000Z	27 \| good	4.949 \| good	21.576 \| good	29.199 \| good	0.213 \| good	10.479 \| good	0.191 \| good
2026-05-16T02:00:00.000Z	27 \| good	4.913 \| good	21.13 \| good	24.347 \| good	0.265 \| good	15.909 \| good	0.22 \| good
2026-05-16T03:00:00.000Z	27 \| good	5.333 \| good	23.025 \| good	24.893 \| good	0.298 \| good	19.28 \| good	0.24 \| good
2026-05-16T04:00:00.000Z	25 \| good	3.962 \| good	17.147 \| good	27.191 \| good	0.307 \| good	20.554 \| good	0.254 \| good
2026-05-16T05:00:00.000Z	27 \| good	3.383 \| good	14.953 \| good	28.798 \| good	0.294 \| good	20.235 \| good	0.259 \| good
2026-05-16T06:00:00.000Z	38 \| good	7.321 \| good	7.449 \| good	14.118 \| good	0.26 \| good	13.71 \| good	0.213 \| good
2026-05-16T07:00:00.000Z	27 \| good	2.093 \| good	8.712 \| good	29.108 \| good	0.239 \| good	8.082 \| good	0.178 \| good
2026-05-16T08:00:00.000Z	28 \| good	2.124 \| good	8.642 \| good	30.119 \| good	0.227 \| good	6.12 \| good	0.166 \| good
2026-05-16T09:00:00.000Z	27 \| good	0.845 \| good	3.473 \| good	29.26 \| good	0.216 \| good	5.142 \| good	0.16 \| good
2026-05-16T10:00:00.000Z	28 \| good	2.471 \| good	9.97 \| good	30.105 \| good	0.212 \| good	4.508 \| good	0.156 \| good
2026-05-16T11:00:00.000Z	28 \| good	4.859 \| good	20.968 \| good	30.232 \| good	0.212 \| good	3.718 \| good	0.157 \| good
2026-05-16T12:00:00.000Z	29 \| good	3.914 \| good	3.99 \| good	31.245 \| good	0.229 \| good	2.969 \| good	0.159 \| good
2026-05-16T13:00:00.000Z	35 \| good	4.191 \| good	4.317 \| good	38.204 \| good	0.295 \| good	1.968 \| good	0.155 \| good

Wethersfield

Empower business decisions with accurate air quality data

Wethersfield, Connecticut air quality map: Real-time AQI near you

0.28ppm

How accurate is Connecticut, USA air quality data?

Air quality measurements for Connecticut, USA meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

Source: Ambee Data Sources

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Frequently asked questions

How frequently is the air quality data for Wethersfield, Connecticut updated?

Air quality data for Wethersfield, Connecticut is updated on an hourly basis.

When did Wethersfield, Connecticut experience the worst air quality in the last 24 hours?

The worst air quality in Wethersfield, Connecticut was recorded at 10:00:00 on 2026-05-13.

When did Wethersfield, Connecticut have its best air quality in the last 24 hours?

The best air quality in Wethersfield, Connecticut was recorded at 01:00:00 on 2026-05-13.

What is the real-time air quality index for Wethersfield, Connecticut?

The real-time air quality index in Wethersfield, Connecticut is 38, currently categorized as Good.

Which pollutant is found most often in Wethersfield, Connecticut?

The most common pollutant in Wethersfield, Connecticut is PM2.5.

What can I do if the air quality in Wethersfield, Connecticut is poor?

If the air quality in Wethersfield, Connecticut is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Wethersfield, Connecticut?

The measured PM_2.5 levels in Wethersfield, Connecticut at present are 6.658 μg/m³.

What are the current PM₁₀ levels at Wethersfield, Connecticut?

The current PM₁₀ levels in Wethersfield, Connecticut are 17.915 μg/m³.

What are the current carbon monoxide (CO) levels at Wethersfield, Connecticut?

The current carbon monoxide (CO) level in Wethersfield, Connecticut is 0.281 ppm.

What are the current sulfur dioxide (SO₂) levels at Wethersfield, Connecticut?

The current sulfur dioxide (SO₂) levels in Wethersfield, Connecticut are 0.222 ppb.

What are the current ozone (O₃) levels at Wethersfield, Connecticut?

The current ozone (O₃) levels at Wethersfield, Connecticut is 29.934 ppm.

What are the current nitrogen dioxide (NO₂) levels at Wethersfield, Connecticut?

The current nitrogen dioxide (NO₂) levels at Wethersfield, Connecticut is 16.38 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T14:00:00.000Z	30 \| good	1.92 \| good	5.919 \| good	32.381 \| good	0.257 \| good	3.076 \| good	0.14 \| good
2026-05-12T15:00:00.000Z	31 \| good	1.76 \| good	6.596 \| good	32.575 \| good	0.281 \| good	1.738 \| good	0.14 \| good
2026-05-12T16:00:00.000Z	30 \| good	1.479 \| good	5.358 \| good	32.114 \| good	0.244 \| good	1.587 \| good	0.14 \| good
2026-05-12T17:00:00.000Z	31 \| good	1.395 \| good	4.196 \| good	34.203 \| good	0.197 \| good	1.951 \| good	0.133 \| good
2026-05-12T18:00:00.000Z	33 \| good	1.346 \| good	4.428 \| good	36.038 \| good	0.217 \| good	1.694 \| good	0.14 \| good
2026-05-12T19:00:00.000Z	36 \| good	1.183 \| good	5.491 \| good	39.292 \| good	0.217 \| good	1.926 \| good	0.14 \| good
2026-05-12T20:00:00.000Z	34 \| good	0.993 \| good	9.354 \| good	36.575 \| good	0.229 \| good	2.051 \| good	0.134 \| good
2026-05-12T21:00:00.000Z	35 \| good	1.014 \| good	4.378 \| good	38.464 \| good	0.252 \| good	2.227 \| good	0.134 \| good
2026-05-12T22:00:00.000Z	36 \| good	1.303 \| good	6.442 \| good	39.171 \| good	0.197 \| good	2.761 \| good	0.128 \| good
2026-05-12T23:00:00.000Z	37 \| good	1.276 \| good	4.868 \| good	39.743 \| good	0.181 \| good	2.846 \| good	0.134 \| good
2026-05-13T00:00:00.000Z	34 \| good	1.273 \| good	5.753 \| good	37.035 \| good	0.155 \| good	4.226 \| good	0.134 \| good
2026-05-13T01:00:00.000Z	32 \| good	1.754 \| good	13.849 \| good	35.486 \| good	0.155 \| good	14.285 \| good	0.13 \| good
2026-05-13T02:00:00.000Z	31 \| good	2.494 \| good	13.634 \| good	33.123 \| good	0.21 \| good	11.926 \| good	0.265 \| good
2026-05-13T03:00:00.000Z	33 \| good	6.395 \| good	28.113 \| good	25.278 \| good	0.458 \| good	25.919 \| good	0.318 \| good
2026-05-13T04:00:00.000Z	31 \| good	2.932 \| good	12.567 \| good	33.938 \| good	0.204 \| good	10.346 \| good	0.207 \| good
2026-05-13T05:00:00.000Z	31 \| good	3.299 \| good	10.305 \| good	33.808 \| good	0.183 \| good	11.934 \| good	0.156 \| good
2026-05-13T06:00:00.000Z	24 \| good	3.272 \| good	12.858 \| good	25.762 \| good	0.2 \| good	14.106 \| good	0.134 \| good
2026-05-13T07:00:00.000Z	24 \| good	3.224 \| good	14.27 \| good	26.142 \| good	0.191 \| good	14.353 \| good	0.117 \| good
2026-05-13T08:00:00.000Z	24 \| good	3.207 \| good	9.242 \| good	26.444 \| good	0.202 \| good	9.236 \| good	0.124 \| good
2026-05-13T09:00:00.000Z	25 \| good	3.645 \| good	13.301 \| good	27.072 \| good	0.307 \| good	8.088 \| good	0.142 \| good
2026-05-13T10:00:00.000Z	33 \| good	3.712 \| good	11.852 \| good	36.459 \| good	0.275 \| good	7.052 \| good	0.2 \| good
2026-05-13T11:00:00.000Z	31 \| good	4.349 \| good	13.726 \| good	32.716 \| good	0.278 \| good	9.942 \| good	0.239 \| good
2026-05-13T12:00:00.000Z	28 \| good	4.436 \| good	14.284 \| good	29.501 \| good	0.24 \| good	10.573 \| good	0.239 \| good
2026-05-13T13:00:00.000Z	31 \| good	4.585 \| good	14.178 \| good	32.743 \| good	0.24 \| good	11.974 \| good	0.246 \| good
2026-05-13T14:00:00.000Z	38 \| good	7.103 \| good	21.208 \| good	29.731 \| good	0.242 \| good	12.406 \| good	0.245 \| good
2026-05-13T15:00:00.000Z	38 \| good	7.249 \| good	21.943 \| good	35.677 \| good	0.209 \| good	11.064 \| good	0.192 \| good
2026-05-13T16:00:00.000Z	49 \| good	8.841 \| good	39.044 \| good	46.54 \| good	0.385 \| good	2.707 \| good	0.152 \| good
2026-05-13T17:00:00.000Z	43 \| good	6.587 \| good	18.987 \| good	46.327 \| good	0.226 \| good	10.907 \| good	0.187 \| good
2026-05-13T18:00:00.000Z	36 \| good	6.208 \| good	18.307 \| good	38.686 \| good	0.21 \| good	9.29 \| good	0.192 \| good
2026-05-13T19:00:00.000Z	42 \| good	6.45 \| good	19.275 \| good	44.928 \| good	0.25 \| good	8.203 \| good	0.187 \| good
2026-05-13T20:00:00.000Z	48 \| good	6.888 \| good	24.701 \| good	51.829 \| good	0.269 \| good	8.905 \| good	0.192 \| good
2026-05-13T21:00:00.000Z	46 \| good	6.102 \| good	25.868 \| good	50.256 \| good	0.257 \| good	9.01 \| good	0.192 \| good
2026-05-13T22:00:00.000Z	51 \| moderate	5.795 \| good	25.165 \| good	55.414 \| fine	0.248 \| good	9.931 \| good	0.187 \| good
2026-05-13T23:00:00.000Z	49 \| good	5.567 \| good	24.092 \| good	52.737 \| good	0.216 \| good	8.307 \| good	0.192 \| good
2026-05-14T00:00:00.000Z	48 \| good	5.108 \| good	21.987 \| good	51.872 \| good	0.205 \| good	7.218 \| good	0.187 \| good
2026-05-14T01:00:00.000Z	47 \| good	5.074 \| good	14.624 \| good	50.883 \| good	0.205 \| good	6.059 \| good	0.134 \| good
2026-05-14T02:00:00.000Z	49 \| good	5.211 \| good	14.926 \| good	53.161 \| good	0.242 \| good	6.012 \| good	0.187 \| good
2026-05-14T03:00:00.000Z	47 \| good	5.25 \| good	15.047 \| good	50.904 \| good	0.242 \| good	5.231 \| good	0.134 \| good
2026-05-14T04:00:00.000Z	46 \| good	5.194 \| good	15.434 \| good	50.177 \| good	0.242 \| good	5.012 \| good	0.128 \| good
2026-05-14T05:00:00.000Z	45 \| good	5.236 \| good	14.462 \| good	49.471 \| good	0.242 \| good	4.503 \| good	0.128 \| good
2026-05-14T06:00:00.000Z	44 \| good	5.19 \| good	13.021 \| good	47.394 \| good	0.221 \| good	5.366 \| good	0.128 \| good
2026-05-14T07:00:00.000Z	44 \| good	5.316 \| good	16.063 \| good	46.817 \| good	0.221 \| good	4.891 \| good	0.108 \| good
2026-05-14T08:00:00.000Z	44 \| good	5.331 \| good	16.997 \| good	46.595 \| good	0.244 \| good	5.005 \| good	0.128 \| good
2026-05-14T09:00:00.000Z	40 \| good	5.368 \| good	12.435 \| good	43.186 \| good	0.221 \| good	6.156 \| good	0.128 \| good
2026-05-14T10:00:00.000Z	38 \| good	5.209 \| good	14.767 \| good	41.449 \| good	0.252 \| good	7.989 \| good	0.14 \| good
2026-05-14T11:00:00.000Z	33 \| good	5.951 \| good	13.497 \| good	33.08 \| good	0.24 \| good	11.091 \| good	0.211 \| good
2026-05-14T12:00:00.000Z	33 \| good	6.179 \| good	21.418 \| good	36.185 \| good	0.224 \| good	15.286 \| good	0.257 \| good
2026-05-14T13:00:00.000Z	33 \| good	6.036 \| good	13.693 \| good	26.401 \| good	0.224 \| good	14.911 \| good	0.255 \| good
2026-05-14T13:00:00.000Z	38 \| good	6.658 \| good	17.915 \| good	29.934 \| good	0.222 \| good	16.38 \| good	0.281 \| good
2026-05-14T14:00:00.000Z	28 \| good	3.389 \| good	14.703 \| good	29.723 \| good	0.137 \| good	2.747 \| good	0.145 \| good
2026-05-14T15:00:00.000Z	28 \| good	4.147 \| good	18.52 \| good	29.964 \| good	0.156 \| good	1.959 \| good	0.138 \| good
2026-05-14T16:00:00.000Z	31 \| good	4.118 \| good	17.995 \| good	34.259 \| good	0.164 \| good	1.619 \| good	0.136 \| good
2026-05-14T17:00:00.000Z	36 \| good	4.02 \| good	17.601 \| good	38.707 \| good	0.149 \| good	1.666 \| good	0.136 \| good
2026-05-14T18:00:00.000Z	31 \| good	4.559 \| good	19.676 \| good	32.727 \| good	0.141 \| good	1.972 \| good	0.143 \| good
2026-05-14T19:00:00.000Z	33 \| good	4.028 \| good	17.867 \| good	36.442 \| good	0.146 \| good	1.738 \| good	0.141 \| good
2026-05-14T20:00:00.000Z	41 \| good	2.886 \| good	11.867 \| good	43.673 \| good	0.16 \| good	1.554 \| good	0.14 \| good
2026-05-14T21:00:00.000Z	46 \| good	2.868 \| good	11.834 \| good	50.163 \| good	0.186 \| good	1.813 \| good	0.144 \| good
2026-05-14T22:00:00.000Z	46 \| good	3.913 \| good	17.253 \| good	49.716 \| good	0.19 \| good	2.562 \| good	0.153 \| good
2026-05-14T23:00:00.000Z	43 \| good	5.089 \| good	21.968 \| good	46.039 \| good	0.181 \| good	4.164 \| good	0.169 \| good
2026-05-15T00:00:00.000Z	38 \| good	7.433 \| good	32.771 \| good	40.152 \| good	0.2 \| good	9.489 \| good	0.217 \| good
2026-05-15T01:00:00.000Z	49 \| good	9.057 \| good	40.5 \| good	32.714 \| good	0.246 \| good	15.731 \| good	0.265 \| good
2026-05-15T02:00:00.000Z	49 \| good	9.129 \| good	40.319 \| good	29.736 \| good	0.267 \| good	17.526 \| good	0.282 \| good
2026-05-15T03:00:00.000Z	49 \| good	9.128 \| good	40.411 \| good	30.736 \| good	0.244 \| good	13.281 \| good	0.249 \| good
2026-05-15T04:00:00.000Z	44 \| good	8.273 \| good	36.184 \| good	31.831 \| good	0.208 \| good	8.988 \| good	0.216 \| good
2026-05-15T05:00:00.000Z	44 \| good	7.58 \| good	33.382 \| good	32.668 \| good	0.18 \| good	6.834 \| good	0.195 \| good
2026-05-15T06:00:00.000Z	44 \| good	7.676 \| good	34.018 \| good	31.947 \| good	0.155 \| good	5.545 \| good	0.182 \| good
2026-05-15T07:00:00.000Z	38 \| good	6.873 \| good	30.404 \| good	28.997 \| good	0.141 \| good	3.88 \| good	0.165 \| good
2026-05-15T08:00:00.000Z	38 \| good	6.962 \| good	30.954 \| good	27.668 \| good	0.154 \| good	3.476 \| good	0.161 \| good
2026-05-15T09:00:00.000Z	38 \| good	7.374 \| good	32.368 \| good	25.322 \| good	0.176 \| good	3.52 \| good	0.16 \| good
2026-05-15T10:00:00.000Z	44 \| good	7.958 \| good	34.749 \| good	22.035 \| good	0.19 \| good	3.436 \| good	0.158 \| good
2026-05-15T11:00:00.000Z	38 \| good	7.242 \| good	31.921 \| good	22.126 \| good	0.187 \| good	3.422 \| good	0.156 \| good
2026-05-15T12:00:00.000Z	33 \| good	6.227 \| good	27.901 \| good	27.926 \| good	0.173 \| good	3.377 \| good	0.154 \| good
2026-05-15T13:00:00.000Z	38 \| good	6.556 \| good	29.122 \| good	26.292 \| good	0.149 \| good	2.754 \| good	0.147 \| good
2026-05-15T14:00:00.000Z	27 \| good	5.39 \| good	23.802 \| good	27.601 \| good	0.131 \| good	2.283 \| good	0.141 \| good
2026-05-15T15:00:00.000Z	33 \| good	3.79 \| good	16.7 \| good	36.36 \| good	0.12 \| good	1.795 \| good	0.136 \| good
2026-05-15T16:00:00.000Z	33 \| good	4.366 \| good	19.129 \| good	36.362 \| good	0.109 \| good	1.393 \| good	0.131 \| good
2026-05-15T17:00:00.000Z	33 \| good	5.215 \| good	22.498 \| good	36.266 \| good	0.112 \| good	1.501 \| good	0.131 \| good
2026-05-15T18:00:00.000Z	34 \| good	5.087 \| good	21.859 \| good	37.191 \| good	0.117 \| good	1.367 \| good	0.129 \| good
2026-05-15T19:00:00.000Z	34 \| good	3.962 \| good	17.399 \| good	37.198 \| good	0.123 \| good	1.285 \| good	0.127 \| good
2026-05-15T20:00:00.000Z	33 \| good	4.597 \| good	19.877 \| good	36.026 \| good	0.13 \| good	1.316 \| good	0.127 \| good
2026-05-15T21:00:00.000Z	32 \| good	5.052 \| good	21.755 \| good	35.463 \| good	0.133 \| good	1.552 \| good	0.13 \| good
2026-05-15T22:00:00.000Z	33 \| good	3.637 \| good	15.869 \| good	35.641 \| good	0.137 \| good	2.292 \| good	0.138 \| good
2026-05-15T23:00:00.000Z	37 \| good	3.382 \| good	14.691 \| good	40.249 \| good	0.145 \| good	3.645 \| good	0.15 \| good
2026-05-16T00:00:00.000Z	34 \| good	4.015 \| good	17.544 \| good	37.092 \| good	0.165 \| good	5.992 \| good	0.168 \| good
2026-05-16T01:00:00.000Z	27 \| good	4.949 \| good	21.576 \| good	29.199 \| good	0.213 \| good	10.479 \| good	0.191 \| good
2026-05-16T02:00:00.000Z	27 \| good	4.913 \| good	21.13 \| good	24.347 \| good	0.265 \| good	15.909 \| good	0.22 \| good
2026-05-16T03:00:00.000Z	27 \| good	5.333 \| good	23.025 \| good	24.893 \| good	0.298 \| good	19.28 \| good	0.24 \| good
2026-05-16T04:00:00.000Z	25 \| good	3.962 \| good	17.147 \| good	27.191 \| good	0.307 \| good	20.554 \| good	0.254 \| good
2026-05-16T05:00:00.000Z	27 \| good	3.383 \| good	14.953 \| good	28.798 \| good	0.294 \| good	20.235 \| good	0.259 \| good
2026-05-16T06:00:00.000Z	38 \| good	7.321 \| good	7.449 \| good	14.118 \| good	0.26 \| good	13.71 \| good	0.213 \| good
2026-05-16T07:00:00.000Z	27 \| good	2.093 \| good	8.712 \| good	29.108 \| good	0.239 \| good	8.082 \| good	0.178 \| good
2026-05-16T08:00:00.000Z	28 \| good	2.124 \| good	8.642 \| good	30.119 \| good	0.227 \| good	6.12 \| good	0.166 \| good
2026-05-16T09:00:00.000Z	27 \| good	0.845 \| good	3.473 \| good	29.26 \| good	0.216 \| good	5.142 \| good	0.16 \| good
2026-05-16T10:00:00.000Z	28 \| good	2.471 \| good	9.97 \| good	30.105 \| good	0.212 \| good	4.508 \| good	0.156 \| good
2026-05-16T11:00:00.000Z	28 \| good	4.859 \| good	20.968 \| good	30.232 \| good	0.212 \| good	3.718 \| good	0.157 \| good
2026-05-16T12:00:00.000Z	29 \| good	3.914 \| good	3.99 \| good	31.245 \| good	0.229 \| good	2.969 \| good	0.159 \| good
2026-05-16T13:00:00.000Z	35 \| good	4.191 \| good	4.317 \| good	38.204 \| good	0.295 \| good	1.968 \| good	0.155 \| good

Real-time air quality index in Wethersfield, Connecticut today

Common air pollutants in Wethersfield, Connecticut

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Wethersfield, Connecticut air quality forecast and history

Empower business decisions with accurate air quality data

Wethersfield, Connecticut air quality map: Real-time AQI near you

Air quality in nearby cities

Newington, Connecticut

Rocky Hill, Connecticut

Hartford, Connecticut

East Hartford, Connecticut

West Hartford, Connecticut

Glastonbury, Connecticut

How accurate is Connecticut, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Wethersfield, Connecticut updated?

When did Wethersfield, Connecticut experience the worst air quality in the last 24 hours?

When did Wethersfield, Connecticut have its best air quality in the last 24 hours?

What is the real-time air quality index for Wethersfield, Connecticut?

Which pollutant is found most often in Wethersfield, Connecticut?

What can I do if the air quality in Wethersfield, Connecticut is poor?

What are the current PM2.5 levels in Wethersfield, Connecticut?

What are the current PM10 levels at Wethersfield, Connecticut?

What are the current carbon monoxide (CO) levels at Wethersfield, Connecticut?

What are the current sulfur dioxide (SO2) levels at Wethersfield, Connecticut?

What are the current ozone (O3) levels at Wethersfield, Connecticut?

What are the current nitrogen dioxide (NO2) levels at Wethersfield, Connecticut?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in Wethersfield, Connecticut?

What are the current PM₁₀ levels at Wethersfield, Connecticut?

What are the current sulfur dioxide (SO₂) levels at Wethersfield, Connecticut?

What are the current ozone (O₃) levels at Wethersfield, Connecticut?

What are the current nitrogen dioxide (NO₂) levels at Wethersfield, Connecticut?