What is the current concentration of PM10 in Griswold, Connecticut?

The current PM10 concentration at Griswold, Connecticut is 21.527 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Griswold, Connecticut is 0.298 ppb.

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

The current ozone (O3) concentration at Griswold, Connecticut is 20.814 ppm.

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

The current nitrogen dioxide (NO2) concentration at Griswold, Connecticut is 12.631 ppb.

Griswold, Connecticut live air quality index now

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

The current PM2.5 concentration at Griswold, Connecticut is 6.078 μg/m3.

Stay updated with real-time air quality in Griswold, 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

Griswold, Connecticut

Last updated: ... (Local time)

Major air pollutants in Griswold, Connecticut

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.12 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.22 μg/m³

155

255

425

605+

Ozone (O₃)

32.15 ppb

201

201+

Sulfur Dioxide (SO₂)

0.30 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.05 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.19 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Griswold, Connecticut

Get Live Pollen Counts

Griswold, Connecticut

Scroll To Air Quality Map

Track live Griswold, Connecticut air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T04:00:00.000Z	22 \| good	1.854 \| good	5.274 \| good	24.41 \| good	0.288 \| good	6.209 \| good	0.242 \| good
2025-11-02T05:00:00.000Z	22 \| good	2.113 \| good	7.519 \| good	24.224 \| good	0.288 \| good	7.277 \| good	0.195 \| good
2025-11-02T06:00:00.000Z	22 \| good	2.64 \| good	7.856 \| good	23.718 \| good	0.231 \| good	8.633 \| good	0.174 \| good
2025-11-02T07:00:00.000Z	22 \| good	2.875 \| good	11.159 \| good	23.995 \| good	0.211 \| good	10.338 \| good	0.203 \| good
2025-11-02T08:00:00.000Z	21 \| good	3.335 \| good	15.739 \| good	23.097 \| good	0.222 \| good	11.271 \| good	0.244 \| good
2025-11-02T09:00:00.000Z	19 \| good	2.528 \| good	10.083 \| good	21.274 \| good	0.227 \| good	8.87 \| good	0.238 \| good
2025-11-02T10:00:00.000Z	19 \| good	2.342 \| good	5.855 \| good	20.481 \| good	0.214 \| good	9.561 \| good	0.279 \| good
2025-11-02T11:00:00.000Z	17 \| good	1.942 \| good	6.057 \| good	17.914 \| good	0.218 \| good	12.192 \| good	0.303 \| good
2025-11-02T12:00:00.000Z	19 \| good	2.979 \| good	7.278 \| good	20.477 \| good	0.271 \| good	11.271 \| good	0.367 \| good
2025-11-02T13:00:00.000Z	22 \| good	3.663 \| good	9.849 \| good	15.54 \| good	0.199 \| good	9.498 \| good	0.295 \| good
2025-11-02T14:00:00.000Z	22 \| good	3.574 \| good	10.922 \| good	13.071 \| good	0.275 \| good	5.134 \| good	0.243 \| good
2025-11-02T15:00:00.000Z	17 \| good	2.941 \| good	8.155 \| good	17.704 \| good	0.287 \| good	4.173 \| good	0.147 \| good
2025-11-02T16:00:00.000Z	18 \| good	2.01 \| good	2.886 \| good	18.958 \| good	0.283 \| good	2.32 \| good	0.147 \| good
2025-11-02T17:00:00.000Z	21 \| good	2.832 \| good	6.193 \| good	22.567 \| good	0.306 \| good	2.015 \| good	0.147 \| good
2025-11-02T18:00:00.000Z	24 \| good	2.36 \| good	5.378 \| good	25.555 \| good	0.309 \| good	1.769 \| good	0.161 \| good
2025-11-02T19:00:00.000Z	27 \| good	1.689 \| good	7.006 \| good	28.796 \| good	0.288 \| good	2.242 \| good	0.185 \| good
2025-11-02T20:00:00.000Z	27 \| good	1.585 \| good	4.277 \| good	29.104 \| good	0.241 \| good	2.246 \| good	0.185 \| good
2025-11-02T21:00:00.000Z	28 \| good	1.786 \| good	4.8 \| good	29.898 \| good	0.267 \| good	3.055 \| good	0.185 \| good
2025-11-02T22:00:00.000Z	27 \| good	1.827 \| good	4.763 \| good	29.31 \| good	0.221 \| good	3.76 \| good	0.185 \| good
2025-11-02T23:00:00.000Z	27 \| good	2.756 \| good	10.644 \| good	29.31 \| good	0.232 \| good	6.407 \| good	0.32 \| good
2025-11-03T00:00:00.000Z	26 \| good	3.577 \| good	10.461 \| good	28.027 \| good	0.259 \| good	10.964 \| good	0.455 \| good
2025-11-03T01:00:00.000Z	22 \| good	3.972 \| good	13.458 \| good	24.295 \| good	0.377 \| good	14.47 \| good	0.497 \| good
2025-11-03T02:00:00.000Z	27 \| good	5.344 \| good	19.29 \| good	23.836 \| good	0.27 \| good	17.928 \| good	0.635 \| good
2025-11-03T03:00:00.000Z	33 \| good	6.229 \| good	21.901 \| good	15.381 \| good	0.381 \| good	8.267 \| good	0.589 \| good
2025-11-03T04:00:00.000Z	38 \| good	7.073 \| good	16.552 \| good	16.546 \| good	0.411 \| good	10.705 \| good	0.561 \| good
2025-11-03T05:00:00.000Z	44 \| good	8.109 \| good	36.65 \| good	19.565 \| good	0.394 \| good	11.771 \| good	0.558 \| good
2025-11-03T06:00:00.000Z	54 \| moderate	11.399 \| good	49.243 \| good	15.441 \| good	0.357 \| good	12.976 \| good	0.522 \| good
2025-11-03T07:00:00.000Z	52 \| moderate	10.072 \| good	26.633 \| good	13.881 \| good	0.298 \| good	11.771 \| good	0.57 \| good
2025-11-03T08:00:00.000Z	52 \| moderate	10.055 \| good	33.308 \| good	21.22 \| good	0.274 \| good	13.843 \| good	0.394 \| good
2025-11-03T09:00:00.000Z	49 \| good	9.011 \| good	24.53 \| good	17.968 \| good	0.279 \| good	10.24 \| good	0.435 \| good
2025-11-03T10:00:00.000Z	38 \| good	7.27 \| good	26.914 \| good	17.018 \| good	0.283 \| good	8.917 \| good	0.484 \| good
2025-11-03T11:00:00.000Z	33 \| good	6.078 \| good	21.527 \| good	20.814 \| good	0.298 \| good	12.631 \| good	0.557 \| good
2025-11-03T12:00:00.000Z	49 \| good	9.166 \| good	23.226 \| good	20.546 \| good	0.585 \| good	15.72 \| good	0.657 \| good
2025-11-03T13:00:00.000Z	33 \| good	5.834 \| good	23.95 \| good	17.737 \| good	0.725 \| good	13.025 \| good	0.637 \| good
2025-11-03T14:00:00.000Z	38 \| good	7.422 \| good	22.167 \| good	15.938 \| good	0.816 \| good	15.947 \| good	0.786 \| good
2025-11-03T15:00:00.000Z	38 \| good	6.93 \| good	20.784 \| good	15.379 \| good	0.695 \| good	16.294 \| good	0.699 \| good
2025-11-03T16:00:00.000Z	44 \| good	8.1 \| good	22.974 \| good	14.173 \| good	0.577 \| good	19.09 \| good	0.657 \| good
2025-11-03T17:00:00.000Z	44 \| good	8.497 \| good	15.251 \| good	18.547 \| good	0.327 \| good	14.546 \| good	0.434 \| good
2025-11-03T18:00:00.000Z	38 \| good	6.789 \| good	18.966 \| good	21.562 \| good	0.258 \| good	10.28 \| good	0.258 \| good
2025-11-03T19:00:00.000Z	33 \| good	6.28 \| good	25.709 \| good	30.488 \| good	0.191 \| good	8.097 \| good	0.212 \| good
2025-11-03T20:00:00.000Z	23 \| good	3.527 \| good	11.986 \| good	25.438 \| good	0.175 \| good	9.465 \| good	0.27 \| good
2025-11-03T21:00:00.000Z	31 \| good	2.577 \| good	5.754 \| good	33.234 \| good	0.213 \| good	8.178 \| good	0.261 \| good
2025-11-03T22:00:00.000Z	31 \| good	2.823 \| good	6.275 \| good	32.903 \| good	0.299 \| good	6.879 \| good	0.273 \| good
2025-11-03T23:00:00.000Z	29 \| good	2.715 \| good	10.419 \| good	31.286 \| good	0.277 \| good	6.704 \| good	0.251 \| good
2025-11-04T00:00:00.000Z	31 \| good	3.902 \| good	11.689 \| good	33.386 \| good	0.29 \| good	6.806 \| good	0.294 \| good
2025-11-04T01:00:00.000Z	29 \| good	3.507 \| good	14.819 \| good	31.359 \| good	0.389 \| good	5.793 \| good	0.191 \| good
2025-11-04T02:00:00.000Z	30 \| good	4.124 \| good	11.224 \| good	32.153 \| good	0.305 \| good	8.047 \| good	0.191 \| good
2025-11-04T03:00:00.000Z	30 \| good	4.124 \| good	11.224 \| good	32.153 \| good	0.305 \| good	8.047 \| good	0.191 \| good
2025-11-03T12:00:00.000Z	33 \| good	5.547 \| good	24.06 \| good	23.663 \| good	2.572 \| good	17.983 \| good	0.235 \| good
2025-11-03T13:00:00.000Z	27 \| good	4.72 \| good	20.642 \| good	26.806 \| good	2.202 \| good	14.57 \| good	0.213 \| good
2025-11-03T14:00:00.000Z	27 \| good	3.503 \| good	15.415 \| good	28.881 \| good	1.831 \| good	11.156 \| good	0.191 \| good
2025-11-03T15:00:00.000Z	30 \| good	3.423 \| good	15.095 \| good	32.126 \| good	1.461 \| good	7.743 \| good	0.169 \| good
2025-11-03T16:00:00.000Z	32 \| good	3.06 \| good	12.244 \| good	34.695 \| good	1.148 \| good	5.496 \| good	0.156 \| good
2025-11-03T17:00:00.000Z	33 \| good	3.018 \| good	12.203 \| good	36.317 \| good	0.836 \| good	3.25 \| good	0.143 \| good
2025-11-03T18:00:00.000Z	33 \| good	2.022 \| good	8.203 \| good	36.067 \| good	0.523 \| good	1.004 \| good	0.129 \| good
2025-11-03T19:00:00.000Z	32 \| good	1.725 \| good	7.251 \| good	34.575 \| good	0.456 \| good	1.516 \| good	0.131 \| good
2025-11-03T20:00:00.000Z	31 \| good	1.901 \| good	7.631 \| good	33.649 \| good	0.388 \| good	2.027 \| good	0.134 \| good
2025-11-03T21:00:00.000Z	30 \| good	2.044 \| good	8.576 \| good	32.192 \| good	0.321 \| good	2.539 \| good	0.136 \| good
2025-11-03T22:00:00.000Z	29 \| good	2.33 \| good	9.582 \| good	30.743 \| good	0.309 \| good	2.686 \| good	0.136 \| good
2025-11-03T23:00:00.000Z	30 \| good	2.589 \| good	10.578 \| good	31.757 \| good	0.297 \| good	2.833 \| good	0.137 \| good
2025-11-04T00:00:00.000Z	31 \| good	2.535 \| good	10.102 \| good	33.021 \| good	0.285 \| good	2.98 \| good	0.138 \| good
2025-11-04T01:00:00.000Z	33 \| good	5.171 \| good	22.122 \| good	36.185 \| good	0.732 \| good	4.241 \| good	0.144 \| good
2025-11-04T02:00:00.000Z	33 \| good	5.022 \| good	21.933 \| good	36.337 \| good	1.178 \| good	5.501 \| good	0.15 \| good
2025-11-04T03:00:00.000Z	33 \| good	4.209 \| good	18.672 \| good	35.676 \| good	1.625 \| good	6.761 \| good	0.156 \| good
2025-11-04T04:00:00.000Z	31 \| good	4.95 \| good	21.409 \| good	32.718 \| good	1.409 \| good	5.118 \| good	0.151 \| good
2025-11-04T05:00:00.000Z	30 \| good	4.841 \| good	21.219 \| good	31.646 \| good	1.192 \| good	3.476 \| good	0.146 \| good
2025-11-04T06:00:00.000Z	30 \| good	2.687 \| good	11.037 \| good	31.708 \| good	0.975 \| good	1.833 \| good	0.14 \| good
2025-11-04T07:00:00.000Z	30 \| good	1.489 \| good	6 \| good	32.369 \| good	0.806 \| good	1.621 \| good	0.137 \| good
2025-11-04T08:00:00.000Z	31 \| good	2.98 \| good	12.618 \| good	32.818 \| good	0.636 \| good	1.409 \| good	0.133 \| good
2025-11-04T09:00:00.000Z	31 \| good	3.478 \| good	15.29 \| good	32.69 \| good	0.467 \| good	1.197 \| good	0.129 \| good
2025-11-04T10:00:00.000Z	29 \| good	2.281 \| good	9.195 \| good	30.9 \| good	0.456 \| good	1.336 \| good	0.128 \| good
2025-11-04T11:00:00.000Z	28 \| good	1.805 \| good	7.704 \| good	29.679 \| good	0.444 \| good	1.474 \| good	0.126 \| good
2025-11-04T12:00:00.000Z	25 \| good	1.709 \| good	7.098 \| good	27.414 \| good	0.433 \| good	1.613 \| good	0.124 \| good
2025-11-04T13:00:00.000Z	25 \| good	1.918 \| good	8.093 \| good	26.533 \| good	0.427 \| good	1.449 \| good	0.124 \| good
2025-11-04T14:00:00.000Z	25 \| good	1.31 \| good	5.299 \| good	26.616 \| good	0.421 \| good	1.285 \| good	0.124 \| good
2025-11-04T15:00:00.000Z	26 \| good	1.472 \| good	5.674 \| good	28.299 \| good	0.414 \| good	1.122 \| good	0.123 \| good
2025-11-04T16:00:00.000Z	28 \| good	1.676 \| good	6.882 \| good	30.106 \| good	0.407 \| good	0.967 \| good	0.121 \| good
2025-11-04T17:00:00.000Z	29 \| good	1.187 \| good	4.496 \| good	30.733 \| good	0.399 \| good	0.811 \| good	0.118 \| good
2025-11-04T18:00:00.000Z	29 \| good	1.027 \| good	4.075 \| good	30.707 \| good	0.391 \| good	0.656 \| good	0.115 \| good
2025-11-04T19:00:00.000Z	29 \| good	1.451 \| good	5.994 \| good	30.99 \| good	0.401 \| good	1.002 \| good	0.116 \| good
2025-11-04T20:00:00.000Z	29 \| good	1.184 \| good	4.811 \| good	31.46 \| good	0.411 \| good	1.348 \| good	0.116 \| good
2025-11-04T21:00:00.000Z	28 \| good	1.645 \| good	6.609 \| good	29.999 \| good	0.42 \| good	1.693 \| good	0.117 \| good
2025-11-04T22:00:00.000Z	26 \| good	3.291 \| good	14.481 \| good	28.374 \| good	0.486 \| good	2.211 \| good	0.121 \| good
2025-11-04T23:00:00.000Z	27 \| good	4.338 \| good	19 \| good	28.686 \| good	0.551 \| good	2.728 \| good	0.125 \| good
2025-11-05T00:00:00.000Z	27 \| good	5.008 \| good	21.765 \| good	24.355 \| good	0.616 \| good	3.246 \| good	0.129 \| good
2025-11-05T01:00:00.000Z	33 \| good	5.594 \| good	24.025 \| good	21.236 \| good	0.66 \| good	3.483 \| good	0.132 \| good
2025-11-05T02:00:00.000Z	33 \| good	5.803 \| good	25 \| good	18.798 \| good	0.704 \| good	3.721 \| good	0.134 \| good
2025-11-05T03:00:00.000Z	33 \| good	5.516 \| good	23.776 \| good	17.321 \| good	0.748 \| good	3.958 \| good	0.137 \| good
2025-11-05T04:00:00.000Z	33 \| good	5.928 \| good	25.998 \| good	16.639 \| good	0.775 \| good	4.039 \| good	0.139 \| good
2025-11-05T05:00:00.000Z	27 \| good	5.385 \| good	23.255 \| good	15.647 \| good	0.802 \| good	4.12 \| good	0.141 \| good
2025-11-05T06:00:00.000Z	25 \| good	3.701 \| good	4.198 \| good	26.702 \| good	0.834 \| good	4.235 \| good	0.143 \| good
2025-11-05T07:00:00.000Z	22 \| good	3.726 \| good	16.484 \| good	14.739 \| good	0.821 \| good	3.915 \| good	0.141 \| good
2025-11-05T08:00:00.000Z	22 \| good	3.554 \| good	15.903 \| good	15.367 \| good	0.812 \| good	3.63 \| good	0.139 \| good
2025-11-05T09:00:00.000Z	22 \| good	3.66 \| good	16.025 \| good	13.413 \| good	0.804 \| good	3.344 \| good	0.138 \| good
2025-11-05T10:00:00.000Z	22 \| good	3.8 \| good	16.476 \| good	12.717 \| good	0.843 \| good	4.319 \| good	0.145 \| good
2025-11-05T11:00:00.000Z	22 \| good	3.58 \| good	16.026 \| good	12.08 \| good	0.882 \| good	5.295 \| good	0.153 \| good

Griswold

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Griswold, Connecticut air quality map: Track AQI near you

0.54ppm

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 Griswold, Connecticut updated?

The air quality for Griswold, Connecticut is updated every hour.

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

The worst air quality in Griswold, Connecticut in the last 24 hours was observed at 06:00:00 on 2025-11-03.

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

In the last 24 hrs, the best air quality in Griswold, Connecticut was observed at 03:00:00 on 2025-11-02.

What is the current air quality in Griswold, Connecticut?

The current air quality in Griswold, Connecticut is 33, categorized as Good based on real-time data.

What pollutant is the most common in Griswold, Connecticut?

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

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

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

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

The current PM_2.5 concentration at Griswold, Connecticut is 6.078 μg/m³.

What is the current concentration of PM₁₀ in Griswold, Connecticut?

The current PM₁₀ concentration at Griswold, Connecticut is 21.527 μg/m³.

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

The current carbon monoxide (CO) concentration at Griswold, Connecticut is 0.557 ppm.

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

The current sulfur dioxide (SO₂) concentration at Griswold, Connecticut is 0.298 ppb.

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

The current ozone (O₃) concentration at Griswold, Connecticut is 20.814 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Griswold, Connecticut is 12.631 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T04:00:00.000Z	22 \| good	1.854 \| good	5.274 \| good	24.41 \| good	0.288 \| good	6.209 \| good	0.242 \| good
2025-11-02T05:00:00.000Z	22 \| good	2.113 \| good	7.519 \| good	24.224 \| good	0.288 \| good	7.277 \| good	0.195 \| good
2025-11-02T06:00:00.000Z	22 \| good	2.64 \| good	7.856 \| good	23.718 \| good	0.231 \| good	8.633 \| good	0.174 \| good
2025-11-02T07:00:00.000Z	22 \| good	2.875 \| good	11.159 \| good	23.995 \| good	0.211 \| good	10.338 \| good	0.203 \| good
2025-11-02T08:00:00.000Z	21 \| good	3.335 \| good	15.739 \| good	23.097 \| good	0.222 \| good	11.271 \| good	0.244 \| good
2025-11-02T09:00:00.000Z	19 \| good	2.528 \| good	10.083 \| good	21.274 \| good	0.227 \| good	8.87 \| good	0.238 \| good
2025-11-02T10:00:00.000Z	19 \| good	2.342 \| good	5.855 \| good	20.481 \| good	0.214 \| good	9.561 \| good	0.279 \| good
2025-11-02T11:00:00.000Z	17 \| good	1.942 \| good	6.057 \| good	17.914 \| good	0.218 \| good	12.192 \| good	0.303 \| good
2025-11-02T12:00:00.000Z	19 \| good	2.979 \| good	7.278 \| good	20.477 \| good	0.271 \| good	11.271 \| good	0.367 \| good
2025-11-02T13:00:00.000Z	22 \| good	3.663 \| good	9.849 \| good	15.54 \| good	0.199 \| good	9.498 \| good	0.295 \| good
2025-11-02T14:00:00.000Z	22 \| good	3.574 \| good	10.922 \| good	13.071 \| good	0.275 \| good	5.134 \| good	0.243 \| good
2025-11-02T15:00:00.000Z	17 \| good	2.941 \| good	8.155 \| good	17.704 \| good	0.287 \| good	4.173 \| good	0.147 \| good
2025-11-02T16:00:00.000Z	18 \| good	2.01 \| good	2.886 \| good	18.958 \| good	0.283 \| good	2.32 \| good	0.147 \| good
2025-11-02T17:00:00.000Z	21 \| good	2.832 \| good	6.193 \| good	22.567 \| good	0.306 \| good	2.015 \| good	0.147 \| good
2025-11-02T18:00:00.000Z	24 \| good	2.36 \| good	5.378 \| good	25.555 \| good	0.309 \| good	1.769 \| good	0.161 \| good
2025-11-02T19:00:00.000Z	27 \| good	1.689 \| good	7.006 \| good	28.796 \| good	0.288 \| good	2.242 \| good	0.185 \| good
2025-11-02T20:00:00.000Z	27 \| good	1.585 \| good	4.277 \| good	29.104 \| good	0.241 \| good	2.246 \| good	0.185 \| good
2025-11-02T21:00:00.000Z	28 \| good	1.786 \| good	4.8 \| good	29.898 \| good	0.267 \| good	3.055 \| good	0.185 \| good
2025-11-02T22:00:00.000Z	27 \| good	1.827 \| good	4.763 \| good	29.31 \| good	0.221 \| good	3.76 \| good	0.185 \| good
2025-11-02T23:00:00.000Z	27 \| good	2.756 \| good	10.644 \| good	29.31 \| good	0.232 \| good	6.407 \| good	0.32 \| good
2025-11-03T00:00:00.000Z	26 \| good	3.577 \| good	10.461 \| good	28.027 \| good	0.259 \| good	10.964 \| good	0.455 \| good
2025-11-03T01:00:00.000Z	22 \| good	3.972 \| good	13.458 \| good	24.295 \| good	0.377 \| good	14.47 \| good	0.497 \| good
2025-11-03T02:00:00.000Z	27 \| good	5.344 \| good	19.29 \| good	23.836 \| good	0.27 \| good	17.928 \| good	0.635 \| good
2025-11-03T03:00:00.000Z	33 \| good	6.229 \| good	21.901 \| good	15.381 \| good	0.381 \| good	8.267 \| good	0.589 \| good
2025-11-03T04:00:00.000Z	38 \| good	7.073 \| good	16.552 \| good	16.546 \| good	0.411 \| good	10.705 \| good	0.561 \| good
2025-11-03T05:00:00.000Z	44 \| good	8.109 \| good	36.65 \| good	19.565 \| good	0.394 \| good	11.771 \| good	0.558 \| good
2025-11-03T06:00:00.000Z	54 \| moderate	11.399 \| good	49.243 \| good	15.441 \| good	0.357 \| good	12.976 \| good	0.522 \| good
2025-11-03T07:00:00.000Z	52 \| moderate	10.072 \| good	26.633 \| good	13.881 \| good	0.298 \| good	11.771 \| good	0.57 \| good
2025-11-03T08:00:00.000Z	52 \| moderate	10.055 \| good	33.308 \| good	21.22 \| good	0.274 \| good	13.843 \| good	0.394 \| good
2025-11-03T09:00:00.000Z	49 \| good	9.011 \| good	24.53 \| good	17.968 \| good	0.279 \| good	10.24 \| good	0.435 \| good
2025-11-03T10:00:00.000Z	38 \| good	7.27 \| good	26.914 \| good	17.018 \| good	0.283 \| good	8.917 \| good	0.484 \| good
2025-11-03T11:00:00.000Z	33 \| good	6.078 \| good	21.527 \| good	20.814 \| good	0.298 \| good	12.631 \| good	0.557 \| good
2025-11-03T12:00:00.000Z	49 \| good	9.166 \| good	23.226 \| good	20.546 \| good	0.585 \| good	15.72 \| good	0.657 \| good
2025-11-03T13:00:00.000Z	33 \| good	5.834 \| good	23.95 \| good	17.737 \| good	0.725 \| good	13.025 \| good	0.637 \| good
2025-11-03T14:00:00.000Z	38 \| good	7.422 \| good	22.167 \| good	15.938 \| good	0.816 \| good	15.947 \| good	0.786 \| good
2025-11-03T15:00:00.000Z	38 \| good	6.93 \| good	20.784 \| good	15.379 \| good	0.695 \| good	16.294 \| good	0.699 \| good
2025-11-03T16:00:00.000Z	44 \| good	8.1 \| good	22.974 \| good	14.173 \| good	0.577 \| good	19.09 \| good	0.657 \| good
2025-11-03T17:00:00.000Z	44 \| good	8.497 \| good	15.251 \| good	18.547 \| good	0.327 \| good	14.546 \| good	0.434 \| good
2025-11-03T18:00:00.000Z	38 \| good	6.789 \| good	18.966 \| good	21.562 \| good	0.258 \| good	10.28 \| good	0.258 \| good
2025-11-03T19:00:00.000Z	33 \| good	6.28 \| good	25.709 \| good	30.488 \| good	0.191 \| good	8.097 \| good	0.212 \| good
2025-11-03T20:00:00.000Z	23 \| good	3.527 \| good	11.986 \| good	25.438 \| good	0.175 \| good	9.465 \| good	0.27 \| good
2025-11-03T21:00:00.000Z	31 \| good	2.577 \| good	5.754 \| good	33.234 \| good	0.213 \| good	8.178 \| good	0.261 \| good
2025-11-03T22:00:00.000Z	31 \| good	2.823 \| good	6.275 \| good	32.903 \| good	0.299 \| good	6.879 \| good	0.273 \| good
2025-11-03T23:00:00.000Z	29 \| good	2.715 \| good	10.419 \| good	31.286 \| good	0.277 \| good	6.704 \| good	0.251 \| good
2025-11-04T00:00:00.000Z	31 \| good	3.902 \| good	11.689 \| good	33.386 \| good	0.29 \| good	6.806 \| good	0.294 \| good
2025-11-04T01:00:00.000Z	29 \| good	3.507 \| good	14.819 \| good	31.359 \| good	0.389 \| good	5.793 \| good	0.191 \| good
2025-11-04T02:00:00.000Z	30 \| good	4.124 \| good	11.224 \| good	32.153 \| good	0.305 \| good	8.047 \| good	0.191 \| good
2025-11-04T03:00:00.000Z	30 \| good	4.124 \| good	11.224 \| good	32.153 \| good	0.305 \| good	8.047 \| good	0.191 \| good
2025-11-03T12:00:00.000Z	33 \| good	5.547 \| good	24.06 \| good	23.663 \| good	2.572 \| good	17.983 \| good	0.235 \| good
2025-11-03T13:00:00.000Z	27 \| good	4.72 \| good	20.642 \| good	26.806 \| good	2.202 \| good	14.57 \| good	0.213 \| good
2025-11-03T14:00:00.000Z	27 \| good	3.503 \| good	15.415 \| good	28.881 \| good	1.831 \| good	11.156 \| good	0.191 \| good
2025-11-03T15:00:00.000Z	30 \| good	3.423 \| good	15.095 \| good	32.126 \| good	1.461 \| good	7.743 \| good	0.169 \| good
2025-11-03T16:00:00.000Z	32 \| good	3.06 \| good	12.244 \| good	34.695 \| good	1.148 \| good	5.496 \| good	0.156 \| good
2025-11-03T17:00:00.000Z	33 \| good	3.018 \| good	12.203 \| good	36.317 \| good	0.836 \| good	3.25 \| good	0.143 \| good
2025-11-03T18:00:00.000Z	33 \| good	2.022 \| good	8.203 \| good	36.067 \| good	0.523 \| good	1.004 \| good	0.129 \| good
2025-11-03T19:00:00.000Z	32 \| good	1.725 \| good	7.251 \| good	34.575 \| good	0.456 \| good	1.516 \| good	0.131 \| good
2025-11-03T20:00:00.000Z	31 \| good	1.901 \| good	7.631 \| good	33.649 \| good	0.388 \| good	2.027 \| good	0.134 \| good
2025-11-03T21:00:00.000Z	30 \| good	2.044 \| good	8.576 \| good	32.192 \| good	0.321 \| good	2.539 \| good	0.136 \| good
2025-11-03T22:00:00.000Z	29 \| good	2.33 \| good	9.582 \| good	30.743 \| good	0.309 \| good	2.686 \| good	0.136 \| good
2025-11-03T23:00:00.000Z	30 \| good	2.589 \| good	10.578 \| good	31.757 \| good	0.297 \| good	2.833 \| good	0.137 \| good
2025-11-04T00:00:00.000Z	31 \| good	2.535 \| good	10.102 \| good	33.021 \| good	0.285 \| good	2.98 \| good	0.138 \| good
2025-11-04T01:00:00.000Z	33 \| good	5.171 \| good	22.122 \| good	36.185 \| good	0.732 \| good	4.241 \| good	0.144 \| good
2025-11-04T02:00:00.000Z	33 \| good	5.022 \| good	21.933 \| good	36.337 \| good	1.178 \| good	5.501 \| good	0.15 \| good
2025-11-04T03:00:00.000Z	33 \| good	4.209 \| good	18.672 \| good	35.676 \| good	1.625 \| good	6.761 \| good	0.156 \| good
2025-11-04T04:00:00.000Z	31 \| good	4.95 \| good	21.409 \| good	32.718 \| good	1.409 \| good	5.118 \| good	0.151 \| good
2025-11-04T05:00:00.000Z	30 \| good	4.841 \| good	21.219 \| good	31.646 \| good	1.192 \| good	3.476 \| good	0.146 \| good
2025-11-04T06:00:00.000Z	30 \| good	2.687 \| good	11.037 \| good	31.708 \| good	0.975 \| good	1.833 \| good	0.14 \| good
2025-11-04T07:00:00.000Z	30 \| good	1.489 \| good	6 \| good	32.369 \| good	0.806 \| good	1.621 \| good	0.137 \| good
2025-11-04T08:00:00.000Z	31 \| good	2.98 \| good	12.618 \| good	32.818 \| good	0.636 \| good	1.409 \| good	0.133 \| good
2025-11-04T09:00:00.000Z	31 \| good	3.478 \| good	15.29 \| good	32.69 \| good	0.467 \| good	1.197 \| good	0.129 \| good
2025-11-04T10:00:00.000Z	29 \| good	2.281 \| good	9.195 \| good	30.9 \| good	0.456 \| good	1.336 \| good	0.128 \| good
2025-11-04T11:00:00.000Z	28 \| good	1.805 \| good	7.704 \| good	29.679 \| good	0.444 \| good	1.474 \| good	0.126 \| good
2025-11-04T12:00:00.000Z	25 \| good	1.709 \| good	7.098 \| good	27.414 \| good	0.433 \| good	1.613 \| good	0.124 \| good
2025-11-04T13:00:00.000Z	25 \| good	1.918 \| good	8.093 \| good	26.533 \| good	0.427 \| good	1.449 \| good	0.124 \| good
2025-11-04T14:00:00.000Z	25 \| good	1.31 \| good	5.299 \| good	26.616 \| good	0.421 \| good	1.285 \| good	0.124 \| good
2025-11-04T15:00:00.000Z	26 \| good	1.472 \| good	5.674 \| good	28.299 \| good	0.414 \| good	1.122 \| good	0.123 \| good
2025-11-04T16:00:00.000Z	28 \| good	1.676 \| good	6.882 \| good	30.106 \| good	0.407 \| good	0.967 \| good	0.121 \| good
2025-11-04T17:00:00.000Z	29 \| good	1.187 \| good	4.496 \| good	30.733 \| good	0.399 \| good	0.811 \| good	0.118 \| good
2025-11-04T18:00:00.000Z	29 \| good	1.027 \| good	4.075 \| good	30.707 \| good	0.391 \| good	0.656 \| good	0.115 \| good
2025-11-04T19:00:00.000Z	29 \| good	1.451 \| good	5.994 \| good	30.99 \| good	0.401 \| good	1.002 \| good	0.116 \| good
2025-11-04T20:00:00.000Z	29 \| good	1.184 \| good	4.811 \| good	31.46 \| good	0.411 \| good	1.348 \| good	0.116 \| good
2025-11-04T21:00:00.000Z	28 \| good	1.645 \| good	6.609 \| good	29.999 \| good	0.42 \| good	1.693 \| good	0.117 \| good
2025-11-04T22:00:00.000Z	26 \| good	3.291 \| good	14.481 \| good	28.374 \| good	0.486 \| good	2.211 \| good	0.121 \| good
2025-11-04T23:00:00.000Z	27 \| good	4.338 \| good	19 \| good	28.686 \| good	0.551 \| good	2.728 \| good	0.125 \| good
2025-11-05T00:00:00.000Z	27 \| good	5.008 \| good	21.765 \| good	24.355 \| good	0.616 \| good	3.246 \| good	0.129 \| good
2025-11-05T01:00:00.000Z	33 \| good	5.594 \| good	24.025 \| good	21.236 \| good	0.66 \| good	3.483 \| good	0.132 \| good
2025-11-05T02:00:00.000Z	33 \| good	5.803 \| good	25 \| good	18.798 \| good	0.704 \| good	3.721 \| good	0.134 \| good
2025-11-05T03:00:00.000Z	33 \| good	5.516 \| good	23.776 \| good	17.321 \| good	0.748 \| good	3.958 \| good	0.137 \| good
2025-11-05T04:00:00.000Z	33 \| good	5.928 \| good	25.998 \| good	16.639 \| good	0.775 \| good	4.039 \| good	0.139 \| good
2025-11-05T05:00:00.000Z	27 \| good	5.385 \| good	23.255 \| good	15.647 \| good	0.802 \| good	4.12 \| good	0.141 \| good
2025-11-05T06:00:00.000Z	25 \| good	3.701 \| good	4.198 \| good	26.702 \| good	0.834 \| good	4.235 \| good	0.143 \| good
2025-11-05T07:00:00.000Z	22 \| good	3.726 \| good	16.484 \| good	14.739 \| good	0.821 \| good	3.915 \| good	0.141 \| good
2025-11-05T08:00:00.000Z	22 \| good	3.554 \| good	15.903 \| good	15.367 \| good	0.812 \| good	3.63 \| good	0.139 \| good
2025-11-05T09:00:00.000Z	22 \| good	3.66 \| good	16.025 \| good	13.413 \| good	0.804 \| good	3.344 \| good	0.138 \| good
2025-11-05T10:00:00.000Z	22 \| good	3.8 \| good	16.476 \| good	12.717 \| good	0.843 \| good	4.319 \| good	0.145 \| good
2025-11-05T11:00:00.000Z	22 \| good	3.58 \| good	16.026 \| good	12.08 \| good	0.882 \| good	5.295 \| good	0.153 \| good

Griswold, Connecticut live air quality index now

Major air pollutants in Griswold, Connecticut

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Griswold, Connecticut air quality map: Track AQI near you

Air quality in nearby cities

Plainfield, Connecticut

Norwich, Connecticut

Windham, Connecticut

Ledyard, Connecticut

Montville, Connecticut

Killingly, Connecticut

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Frequently asked questions

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

What is the current concentration of PM10 in Griswold, Connecticut?

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

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

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

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

What is the current concentration of PM₁₀ in Griswold, Connecticut?

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

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

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