Current air quality index in Berlin, Connecticut today

Stay updated with real-time air quality in Berlin, 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

Berlin, Connecticut

Last updated: ... (Local time)

Common air pollutants in Berlin, Connecticut

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.95 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.79 μg/m³

155

255

425

605+

Ozone (O₃)

26.94 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.26 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Berlin, Connecticut

Get Live Pollen Counts

Berlin, Connecticut

Scroll To Air Quality Map

Track live Berlin, Connecticut air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-05T04:00:00.000Z	33 \| good	5.596 \| good	10.973 \| good	29.075 \| good	0.301 \| good	27.136 \| good	0.392 \| good
2025-11-05T05:00:00.000Z	33 \| good	5.877 \| good	26.948 \| good	31.276 \| good	0.364 \| good	26.46 \| good	0.346 \| good
2025-11-05T06:00:00.000Z	33 \| good	6.098 \| good	16.647 \| good	30.484 \| good	0.39 \| good	26.379 \| good	0.34 \| good
2025-11-05T07:00:00.000Z	33 \| good	6.163 \| good	13.232 \| good	21.656 \| good	0.236 \| good	24.327 \| good	0.316 \| good
2025-11-05T08:00:00.000Z	27 \| good	4.552 \| good	8.255 \| good	26.021 \| good	0.271 \| good	22.539 \| good	0.192 \| good
2025-11-05T09:00:00.000Z	22 \| good	4.276 \| good	10.228 \| good	12.881 \| good	0.273 \| good	22.793 \| good	0.171 \| good
2025-11-05T10:00:00.000Z	22 \| good	4.167 \| good	9.811 \| good	22.747 \| good	0.35 \| good	23.44 \| good	0.229 \| good
2025-11-05T11:00:00.000Z	22 \| good	4.41 \| good	14.437 \| good	12.639 \| good	0.47 \| good	21.998 \| good	0.316 \| good
2025-11-05T12:00:00.000Z	27 \| good	5.114 \| good	12.338 \| good	13.795 \| good	0.563 \| good	24.476 \| good	0.416 \| good
2025-11-05T13:00:00.000Z	27 \| good	4.923 \| good	15.065 \| good	21.333 \| good	0.359 \| good	22.364 \| good	0.398 \| good
2025-11-05T14:00:00.000Z	33 \| good	5.887 \| good	18.454 \| good	12.428 \| good	0.498 \| good	25.514 \| good	0.494 \| good
2025-11-05T15:00:00.000Z	33 \| good	6.226 \| good	25.914 \| good	21.703 \| good	0.435 \| good	22.888 \| good	0.368 \| good
2025-11-05T16:00:00.000Z	33 \| good	6.435 \| good	24.485 \| good	21.285 \| good	0.422 \| good	21.377 \| good	0.31 \| good
2025-11-05T17:00:00.000Z	28 \| good	5.086 \| good	20.187 \| good	30.023 \| good	0.576 \| good	18.009 \| good	0.355 \| good
2025-11-05T18:00:00.000Z	22 \| good	4.475 \| good	15.701 \| good	22.841 \| good	0.357 \| good	10.249 \| good	0.264 \| good
2025-11-05T19:00:00.000Z	28 \| good	3.908 \| good	16.162 \| good	30.117 \| good	0.393 \| good	8.509 \| good	0.206 \| good
2025-11-05T20:00:00.000Z	29 \| good	3.704 \| good	15.31 \| good	31.135 \| good	0.402 \| good	11.406 \| good	0.206 \| good
2025-11-05T21:00:00.000Z	33 \| good	3.869 \| good	14.164 \| good	36.338 \| good	0.388 \| good	9.318 \| good	0.245 \| good
2025-11-05T22:00:00.000Z	37 \| good	4.309 \| good	15.838 \| good	39.529 \| good	0.369 \| good	15.885 \| good	0.297 \| good
2025-11-05T23:00:00.000Z	33 \| good	5.939 \| good	18.857 \| good	35.592 \| good	0.262 \| good	11.278 \| good	0.303 \| good
2025-11-06T00:00:00.000Z	38 \| good	7.349 \| good	22.337 \| good	38.474 \| good	0.247 \| good	10.171 \| good	0.264 \| good
2025-11-06T08:00:00.000Z	29 \| good	1.369 \| good	7.16 \| good	31.033 \| good	0.489 \| good	1.736 \| good	0.128 \| good
2025-11-06T09:00:00.000Z	31 \| good	0.863 \| good	2.906 \| good	34.448 \| good	0.445 \| good	1.557 \| good	0.135 \| good
2025-11-06T10:00:00.000Z	31 \| good	0.53 \| good	1.56 \| good	33.277 \| good	0.255 \| good	2.141 \| good	0.127 \| good
2025-11-06T11:00:00.000Z	30 \| good	0.41 \| good	1.661 \| good	31.5 \| good	0.408 \| good	2.828 \| good	0.134 \| good
2025-11-06T12:00:00.000Z	29 \| good	0.371 \| good	1.08 \| good	31.138 \| good	0.243 \| good	7.272 \| good	0.18 \| good
2025-11-06T13:00:00.000Z	29 \| good	0.391 \| good	0.993 \| good	30.776 \| good	0.41 \| good	3.803 \| good	0.123 \| good
2025-11-06T14:00:00.000Z	29 \| good	0.597 \| good	1.367 \| good	30.964 \| good	0.276 \| good	4.066 \| good	0.133 \| good
2025-11-06T15:00:00.000Z	31 \| good	0.759 \| good	2.026 \| good	33.947 \| good	0.265 \| good	3.191 \| good	0.14 \| good
2025-11-06T16:00:00.000Z	31 \| good	0.872 \| good	3.299 \| good	33.036 \| good	0.265 \| good	2.373 \| good	0.147 \| good
2025-11-06T17:00:00.000Z	31 \| good	1.006 \| good	2.359 \| good	32.815 \| good	0.295 \| good	2.252 \| good	0.14 \| good
2025-11-06T18:00:00.000Z	32 \| good	1.089 \| good	2.925 \| good	34.858 \| good	0.284 \| good	2.29 \| good	0.133 \| good
2025-11-06T19:00:00.000Z	32 \| good	1.134 \| good	4.661 \| good	35.039 \| good	0.336 \| good	2.355 \| good	0.14 \| good
2025-11-06T20:00:00.000Z	32 \| good	1.214 \| good	3.529 \| good	34.552 \| good	0.374 \| good	2.832 \| good	0.138 \| good
2025-11-06T21:00:00.000Z	30 \| good	1.279 \| good	4.473 \| good	31.711 \| good	0.268 \| good	2.939 \| good	0.147 \| good
2025-11-06T22:00:00.000Z	28 \| good	1.078 \| good	2.346 \| good	29.935 \| good	0.285 \| good	3.468 \| good	0.147 \| good
2025-11-06T23:00:00.000Z	27 \| good	1.301 \| good	3.541 \| good	28.939 \| good	0.255 \| good	4.58 \| good	0.174 \| good
2025-11-07T00:00:00.000Z	29 \| good	1.499 \| good	9.717 \| good	30.926 \| good	0.206 \| good	5.431 \| good	0.22 \| good
2025-11-07T01:00:00.000Z	24 \| good	2.185 \| good	10.529 \| good	26.015 \| good	0.248 \| good	7.926 \| good	0.167 \| good
2025-11-07T02:00:00.000Z	25 \| good	2.949 \| good	12.794 \| good	26.94 \| good	0.245 \| good	11.264 \| good	0.174 \| good
2025-11-07T03:00:00.000Z	21 \| good	2.938 \| good	14.301 \| good	23.234 \| good	0.268 \| good	14.231 \| good	0.236 \| good
2025-11-07T03:00:00.000Z	25 \| good	2.949 \| good	12.794 \| good	26.94 \| good	0.245 \| good	11.264 \| good	0.174 \| good
2025-11-06T06:00:00.000Z	36 \| good	1.283 \| good	5.089 \| good	38.755 \| good	1.354 \| good	2.795 \| good	0.16 \| good
2025-11-06T07:00:00.000Z	35 \| good	0.653 \| good	2.426 \| good	38.464 \| good	1.034 \| good	2.119 \| good	0.141 \| good
2025-11-06T08:00:00.000Z	32 \| good	0.256 \| good	0.966 \| good	35.22 \| good	0.714 \| good	1.443 \| good	0.123 \| good
2025-11-06T09:00:00.000Z	31 \| good	0.108 \| good	0.082 \| good	34.169 \| good	0.393 \| good	0.767 \| good	0.105 \| good
2025-11-06T10:00:00.000Z	32 \| good	0.086 \| good	0.048 \| good	34.715 \| good	0.375 \| good	1.197 \| good	0.108 \| good
2025-11-06T11:00:00.000Z	31 \| good	0.187 \| good	0.445 \| good	33.565 \| good	0.357 \| good	1.626 \| good	0.112 \| good
2025-11-06T12:00:00.000Z	29 \| good	0.222 \| good	0.545 \| good	30.686 \| good	0.339 \| good	2.056 \| good	0.115 \| good
2025-11-06T13:00:00.000Z	30 \| good	0.482 \| good	2 \| good	31.54 \| good	0.338 \| good	1.741 \| good	0.116 \| good
2025-11-06T14:00:00.000Z	29 \| good	1.073 \| good	4.448 \| good	31.017 \| good	0.338 \| good	1.425 \| good	0.117 \| good
2025-11-06T15:00:00.000Z	29 \| good	1.565 \| good	6.414 \| good	30.769 \| good	0.337 \| good	1.109 \| good	0.117 \| good
2025-11-06T16:00:00.000Z	29 \| good	0.954 \| good	3.673 \| good	31.07 \| good	0.31 \| good	1.054 \| good	0.119 \| good
2025-11-06T17:00:00.000Z	31 \| good	0.505 \| good	2 \| good	33.414 \| good	0.283 \| good	0.999 \| good	0.121 \| good
2025-11-06T18:00:00.000Z	32 \| good	0.302 \| good	1 \| good	34.529 \| good	0.256 \| good	0.944 \| good	0.124 \| good
2025-11-06T19:00:00.000Z	31 \| good	0.376 \| good	1.455 \| good	33.17 \| good	0.247 \| good	1.233 \| good	0.126 \| good
2025-11-06T20:00:00.000Z	31 \| good	0.338 \| good	1 \| good	33.248 \| good	0.237 \| good	1.521 \| good	0.129 \| good
2025-11-06T21:00:00.000Z	28 \| good	0.282 \| good	1 \| good	30.364 \| good	0.227 \| good	1.81 \| good	0.132 \| good
2025-11-06T22:00:00.000Z	28 \| good	1.046 \| good	4.203 \| good	29.614 \| good	0.27 \| good	2.554 \| good	0.137 \| good
2025-11-06T23:00:00.000Z	24 \| good	3.411 \| good	14.807 \| good	25.938 \| good	0.312 \| good	3.298 \| good	0.143 \| good
2025-11-07T00:00:00.000Z	22 \| good	4.214 \| good	18.156 \| good	21.837 \| good	0.354 \| good	4.041 \| good	0.149 \| good
2025-11-07T01:00:00.000Z	33 \| good	5.914 \| good	26.065 \| good	19.594 \| good	0.392 \| good	4.419 \| good	0.151 \| good
2025-11-07T02:00:00.000Z	38 \| good	6.528 \| good	28.746 \| good	16.716 \| good	0.43 \| good	4.797 \| good	0.154 \| good
2025-11-07T03:00:00.000Z	38 \| good	6.99 \| good	31.195 \| good	14.555 \| good	0.468 \| good	5.175 \| good	0.156 \| good
2025-11-07T04:00:00.000Z	33 \| good	5.673 \| good	24.523 \| good	15.548 \| good	0.482 \| good	5.144 \| good	0.155 \| good
2025-11-07T05:00:00.000Z	33 \| good	5.941 \| good	26.58 \| good	13.994 \| good	0.495 \| good	5.112 \| good	0.154 \| good
2025-11-07T06:00:00.000Z	33 \| good	6.319 \| good	28.071 \| good	14.046 \| good	0.509 \| good	5.081 \| good	0.153 \| good
2025-11-07T07:00:00.000Z	27 \| good	4.769 \| good	20.921 \| good	12.747 \| good	0.565 \| good	5.768 \| good	0.157 \| good
2025-11-07T08:00:00.000Z	27 \| good	4.687 \| good	20.571 \| good	10.766 \| good	0.621 \| good	6.456 \| good	0.162 \| good
2025-11-07T09:00:00.000Z	22 \| good	4.489 \| good	19.508 \| good	8.863 \| good	0.677 \| good	7.144 \| good	0.166 \| good
2025-11-07T10:00:00.000Z	22 \| good	4.46 \| good	19.537 \| good	8.952 \| good	0.86 \| good	10.227 \| good	0.197 \| good
2025-11-07T11:00:00.000Z	22 \| good	4.358 \| good	19.075 \| good	7.978 \| good	1.043 \| good	13.31 \| good	0.228 \| good
2025-11-07T12:00:00.000Z	27 \| good	4.924 \| good	21.252 \| good	10.081 \| good	1.226 \| good	16.393 \| good	0.258 \| good
2025-11-07T13:00:00.000Z	22 \| good	4.138 \| good	17.919 \| good	18.897 \| good	1.443 \| good	13.208 \| good	0.228 \| good
2025-11-07T14:00:00.000Z	23 \| good	1.631 \| good	6.758 \| good	24.853 \| good	1.66 \| good	10.024 \| good	0.198 \| good
2025-11-07T15:00:00.000Z	29 \| good	1.49 \| good	5.692 \| good	30.838 \| good	1.877 \| good	6.839 \| good	0.168 \| good
2025-11-07T16:00:00.000Z	31 \| good	1.966 \| good	8.324 \| good	33.395 \| good	1.702 \| good	6.234 \| good	0.159 \| good
2025-11-07T17:00:00.000Z	33 \| good	1.487 \| good	5.993 \| good	36.408 \| good	1.526 \| good	5.629 \| good	0.151 \| good
2025-11-07T18:00:00.000Z	36 \| good	1.402 \| good	5.654 \| good	38.594 \| good	1.351 \| good	5.025 \| good	0.142 \| good
2025-11-07T19:00:00.000Z	38 \| good	1.534 \| good	6.036 \| good	40.75 \| good	1.266 \| good	4.664 \| good	0.142 \| good
2025-11-07T20:00:00.000Z	41 \| good	1.589 \| good	6.652 \| good	43.976 \| good	1.181 \| good	4.303 \| good	0.142 \| good
2025-11-07T21:00:00.000Z	42 \| good	1.778 \| good	7.387 \| good	45.263 \| good	1.095 \| good	3.943 \| good	0.143 \| good
2025-11-07T22:00:00.000Z	42 \| good	2.847 \| good	11.834 \| good	44.795 \| good	1.04 \| good	3.95 \| good	0.142 \| good
2025-11-07T23:00:00.000Z	42 \| good	4.177 \| good	18.138 \| good	45.189 \| good	0.985 \| good	3.957 \| good	0.142 \| good
2025-11-08T00:00:00.000Z	39 \| good	4.877 \| good	6.254 \| good	41.557 \| good	0.932 \| good	4.002 \| good	0.141 \| good
2025-11-08T01:00:00.000Z	35 \| good	3.884 \| good	17.029 \| good	38.45 \| good	0.904 \| good	3.791 \| good	0.137 \| good
2025-11-08T02:00:00.000Z	32 \| good	3.405 \| good	15.094 \| good	34.721 \| good	0.879 \| good	3.617 \| good	0.132 \| good
2025-11-08T03:00:00.000Z	31 \| good	3.845 \| good	16.84 \| good	33.241 \| good	0.854 \| good	3.444 \| good	0.128 \| good
2025-11-08T04:00:00.000Z	30 \| good	3.184 \| good	14.014 \| good	32.236 \| good	0.987 \| good	3.449 \| good	0.127 \| good
2025-11-08T05:00:00.000Z	31 \| good	3.833 \| good	16.939 \| good	33.599 \| good	1.12 \| good	3.455 \| good	0.126 \| good

Berlin

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Real-time air quality map: Monitor AQI near Berlin, Connecticut

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The air quality data for Connecticut, 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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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-05T04:00:00.000Z	33 \| good	5.596 \| good	10.973 \| good	29.075 \| good	0.301 \| good	27.136 \| good	0.392 \| good
2025-11-05T05:00:00.000Z	33 \| good	5.877 \| good	26.948 \| good	31.276 \| good	0.364 \| good	26.46 \| good	0.346 \| good
2025-11-05T06:00:00.000Z	33 \| good	6.098 \| good	16.647 \| good	30.484 \| good	0.39 \| good	26.379 \| good	0.34 \| good
2025-11-05T07:00:00.000Z	33 \| good	6.163 \| good	13.232 \| good	21.656 \| good	0.236 \| good	24.327 \| good	0.316 \| good
2025-11-05T08:00:00.000Z	27 \| good	4.552 \| good	8.255 \| good	26.021 \| good	0.271 \| good	22.539 \| good	0.192 \| good
2025-11-05T09:00:00.000Z	22 \| good	4.276 \| good	10.228 \| good	12.881 \| good	0.273 \| good	22.793 \| good	0.171 \| good
2025-11-05T10:00:00.000Z	22 \| good	4.167 \| good	9.811 \| good	22.747 \| good	0.35 \| good	23.44 \| good	0.229 \| good
2025-11-05T11:00:00.000Z	22 \| good	4.41 \| good	14.437 \| good	12.639 \| good	0.47 \| good	21.998 \| good	0.316 \| good
2025-11-05T12:00:00.000Z	27 \| good	5.114 \| good	12.338 \| good	13.795 \| good	0.563 \| good	24.476 \| good	0.416 \| good
2025-11-05T13:00:00.000Z	27 \| good	4.923 \| good	15.065 \| good	21.333 \| good	0.359 \| good	22.364 \| good	0.398 \| good
2025-11-05T14:00:00.000Z	33 \| good	5.887 \| good	18.454 \| good	12.428 \| good	0.498 \| good	25.514 \| good	0.494 \| good
2025-11-05T15:00:00.000Z	33 \| good	6.226 \| good	25.914 \| good	21.703 \| good	0.435 \| good	22.888 \| good	0.368 \| good
2025-11-05T16:00:00.000Z	33 \| good	6.435 \| good	24.485 \| good	21.285 \| good	0.422 \| good	21.377 \| good	0.31 \| good
2025-11-05T17:00:00.000Z	28 \| good	5.086 \| good	20.187 \| good	30.023 \| good	0.576 \| good	18.009 \| good	0.355 \| good
2025-11-05T18:00:00.000Z	22 \| good	4.475 \| good	15.701 \| good	22.841 \| good	0.357 \| good	10.249 \| good	0.264 \| good
2025-11-05T19:00:00.000Z	28 \| good	3.908 \| good	16.162 \| good	30.117 \| good	0.393 \| good	8.509 \| good	0.206 \| good
2025-11-05T20:00:00.000Z	29 \| good	3.704 \| good	15.31 \| good	31.135 \| good	0.402 \| good	11.406 \| good	0.206 \| good
2025-11-05T21:00:00.000Z	33 \| good	3.869 \| good	14.164 \| good	36.338 \| good	0.388 \| good	9.318 \| good	0.245 \| good
2025-11-05T22:00:00.000Z	37 \| good	4.309 \| good	15.838 \| good	39.529 \| good	0.369 \| good	15.885 \| good	0.297 \| good
2025-11-05T23:00:00.000Z	33 \| good	5.939 \| good	18.857 \| good	35.592 \| good	0.262 \| good	11.278 \| good	0.303 \| good
2025-11-06T00:00:00.000Z	38 \| good	7.349 \| good	22.337 \| good	38.474 \| good	0.247 \| good	10.171 \| good	0.264 \| good
2025-11-06T08:00:00.000Z	29 \| good	1.369 \| good	7.16 \| good	31.033 \| good	0.489 \| good	1.736 \| good	0.128 \| good
2025-11-06T09:00:00.000Z	31 \| good	0.863 \| good	2.906 \| good	34.448 \| good	0.445 \| good	1.557 \| good	0.135 \| good
2025-11-06T10:00:00.000Z	31 \| good	0.53 \| good	1.56 \| good	33.277 \| good	0.255 \| good	2.141 \| good	0.127 \| good
2025-11-06T11:00:00.000Z	30 \| good	0.41 \| good	1.661 \| good	31.5 \| good	0.408 \| good	2.828 \| good	0.134 \| good
2025-11-06T12:00:00.000Z	29 \| good	0.371 \| good	1.08 \| good	31.138 \| good	0.243 \| good	7.272 \| good	0.18 \| good
2025-11-06T13:00:00.000Z	29 \| good	0.391 \| good	0.993 \| good	30.776 \| good	0.41 \| good	3.803 \| good	0.123 \| good
2025-11-06T14:00:00.000Z	29 \| good	0.597 \| good	1.367 \| good	30.964 \| good	0.276 \| good	4.066 \| good	0.133 \| good
2025-11-06T15:00:00.000Z	31 \| good	0.759 \| good	2.026 \| good	33.947 \| good	0.265 \| good	3.191 \| good	0.14 \| good
2025-11-06T16:00:00.000Z	31 \| good	0.872 \| good	3.299 \| good	33.036 \| good	0.265 \| good	2.373 \| good	0.147 \| good
2025-11-06T17:00:00.000Z	31 \| good	1.006 \| good	2.359 \| good	32.815 \| good	0.295 \| good	2.252 \| good	0.14 \| good
2025-11-06T18:00:00.000Z	32 \| good	1.089 \| good	2.925 \| good	34.858 \| good	0.284 \| good	2.29 \| good	0.133 \| good
2025-11-06T19:00:00.000Z	32 \| good	1.134 \| good	4.661 \| good	35.039 \| good	0.336 \| good	2.355 \| good	0.14 \| good
2025-11-06T20:00:00.000Z	32 \| good	1.214 \| good	3.529 \| good	34.552 \| good	0.374 \| good	2.832 \| good	0.138 \| good
2025-11-06T21:00:00.000Z	30 \| good	1.279 \| good	4.473 \| good	31.711 \| good	0.268 \| good	2.939 \| good	0.147 \| good
2025-11-06T22:00:00.000Z	28 \| good	1.078 \| good	2.346 \| good	29.935 \| good	0.285 \| good	3.468 \| good	0.147 \| good
2025-11-06T23:00:00.000Z	27 \| good	1.301 \| good	3.541 \| good	28.939 \| good	0.255 \| good	4.58 \| good	0.174 \| good
2025-11-07T00:00:00.000Z	29 \| good	1.499 \| good	9.717 \| good	30.926 \| good	0.206 \| good	5.431 \| good	0.22 \| good
2025-11-07T01:00:00.000Z	24 \| good	2.185 \| good	10.529 \| good	26.015 \| good	0.248 \| good	7.926 \| good	0.167 \| good
2025-11-07T02:00:00.000Z	25 \| good	2.949 \| good	12.794 \| good	26.94 \| good	0.245 \| good	11.264 \| good	0.174 \| good
2025-11-07T03:00:00.000Z	21 \| good	2.938 \| good	14.301 \| good	23.234 \| good	0.268 \| good	14.231 \| good	0.236 \| good
2025-11-07T03:00:00.000Z	25 \| good	2.949 \| good	12.794 \| good	26.94 \| good	0.245 \| good	11.264 \| good	0.174 \| good
2025-11-06T06:00:00.000Z	36 \| good	1.283 \| good	5.089 \| good	38.755 \| good	1.354 \| good	2.795 \| good	0.16 \| good
2025-11-06T07:00:00.000Z	35 \| good	0.653 \| good	2.426 \| good	38.464 \| good	1.034 \| good	2.119 \| good	0.141 \| good
2025-11-06T08:00:00.000Z	32 \| good	0.256 \| good	0.966 \| good	35.22 \| good	0.714 \| good	1.443 \| good	0.123 \| good
2025-11-06T09:00:00.000Z	31 \| good	0.108 \| good	0.082 \| good	34.169 \| good	0.393 \| good	0.767 \| good	0.105 \| good
2025-11-06T10:00:00.000Z	32 \| good	0.086 \| good	0.048 \| good	34.715 \| good	0.375 \| good	1.197 \| good	0.108 \| good
2025-11-06T11:00:00.000Z	31 \| good	0.187 \| good	0.445 \| good	33.565 \| good	0.357 \| good	1.626 \| good	0.112 \| good
2025-11-06T12:00:00.000Z	29 \| good	0.222 \| good	0.545 \| good	30.686 \| good	0.339 \| good	2.056 \| good	0.115 \| good
2025-11-06T13:00:00.000Z	30 \| good	0.482 \| good	2 \| good	31.54 \| good	0.338 \| good	1.741 \| good	0.116 \| good
2025-11-06T14:00:00.000Z	29 \| good	1.073 \| good	4.448 \| good	31.017 \| good	0.338 \| good	1.425 \| good	0.117 \| good
2025-11-06T15:00:00.000Z	29 \| good	1.565 \| good	6.414 \| good	30.769 \| good	0.337 \| good	1.109 \| good	0.117 \| good
2025-11-06T16:00:00.000Z	29 \| good	0.954 \| good	3.673 \| good	31.07 \| good	0.31 \| good	1.054 \| good	0.119 \| good
2025-11-06T17:00:00.000Z	31 \| good	0.505 \| good	2 \| good	33.414 \| good	0.283 \| good	0.999 \| good	0.121 \| good
2025-11-06T18:00:00.000Z	32 \| good	0.302 \| good	1 \| good	34.529 \| good	0.256 \| good	0.944 \| good	0.124 \| good
2025-11-06T19:00:00.000Z	31 \| good	0.376 \| good	1.455 \| good	33.17 \| good	0.247 \| good	1.233 \| good	0.126 \| good
2025-11-06T20:00:00.000Z	31 \| good	0.338 \| good	1 \| good	33.248 \| good	0.237 \| good	1.521 \| good	0.129 \| good
2025-11-06T21:00:00.000Z	28 \| good	0.282 \| good	1 \| good	30.364 \| good	0.227 \| good	1.81 \| good	0.132 \| good
2025-11-06T22:00:00.000Z	28 \| good	1.046 \| good	4.203 \| good	29.614 \| good	0.27 \| good	2.554 \| good	0.137 \| good
2025-11-06T23:00:00.000Z	24 \| good	3.411 \| good	14.807 \| good	25.938 \| good	0.312 \| good	3.298 \| good	0.143 \| good
2025-11-07T00:00:00.000Z	22 \| good	4.214 \| good	18.156 \| good	21.837 \| good	0.354 \| good	4.041 \| good	0.149 \| good
2025-11-07T01:00:00.000Z	33 \| good	5.914 \| good	26.065 \| good	19.594 \| good	0.392 \| good	4.419 \| good	0.151 \| good
2025-11-07T02:00:00.000Z	38 \| good	6.528 \| good	28.746 \| good	16.716 \| good	0.43 \| good	4.797 \| good	0.154 \| good
2025-11-07T03:00:00.000Z	38 \| good	6.99 \| good	31.195 \| good	14.555 \| good	0.468 \| good	5.175 \| good	0.156 \| good
2025-11-07T04:00:00.000Z	33 \| good	5.673 \| good	24.523 \| good	15.548 \| good	0.482 \| good	5.144 \| good	0.155 \| good
2025-11-07T05:00:00.000Z	33 \| good	5.941 \| good	26.58 \| good	13.994 \| good	0.495 \| good	5.112 \| good	0.154 \| good
2025-11-07T06:00:00.000Z	33 \| good	6.319 \| good	28.071 \| good	14.046 \| good	0.509 \| good	5.081 \| good	0.153 \| good
2025-11-07T07:00:00.000Z	27 \| good	4.769 \| good	20.921 \| good	12.747 \| good	0.565 \| good	5.768 \| good	0.157 \| good
2025-11-07T08:00:00.000Z	27 \| good	4.687 \| good	20.571 \| good	10.766 \| good	0.621 \| good	6.456 \| good	0.162 \| good
2025-11-07T09:00:00.000Z	22 \| good	4.489 \| good	19.508 \| good	8.863 \| good	0.677 \| good	7.144 \| good	0.166 \| good
2025-11-07T10:00:00.000Z	22 \| good	4.46 \| good	19.537 \| good	8.952 \| good	0.86 \| good	10.227 \| good	0.197 \| good
2025-11-07T11:00:00.000Z	22 \| good	4.358 \| good	19.075 \| good	7.978 \| good	1.043 \| good	13.31 \| good	0.228 \| good
2025-11-07T12:00:00.000Z	27 \| good	4.924 \| good	21.252 \| good	10.081 \| good	1.226 \| good	16.393 \| good	0.258 \| good
2025-11-07T13:00:00.000Z	22 \| good	4.138 \| good	17.919 \| good	18.897 \| good	1.443 \| good	13.208 \| good	0.228 \| good
2025-11-07T14:00:00.000Z	23 \| good	1.631 \| good	6.758 \| good	24.853 \| good	1.66 \| good	10.024 \| good	0.198 \| good
2025-11-07T15:00:00.000Z	29 \| good	1.49 \| good	5.692 \| good	30.838 \| good	1.877 \| good	6.839 \| good	0.168 \| good
2025-11-07T16:00:00.000Z	31 \| good	1.966 \| good	8.324 \| good	33.395 \| good	1.702 \| good	6.234 \| good	0.159 \| good
2025-11-07T17:00:00.000Z	33 \| good	1.487 \| good	5.993 \| good	36.408 \| good	1.526 \| good	5.629 \| good	0.151 \| good
2025-11-07T18:00:00.000Z	36 \| good	1.402 \| good	5.654 \| good	38.594 \| good	1.351 \| good	5.025 \| good	0.142 \| good
2025-11-07T19:00:00.000Z	38 \| good	1.534 \| good	6.036 \| good	40.75 \| good	1.266 \| good	4.664 \| good	0.142 \| good
2025-11-07T20:00:00.000Z	41 \| good	1.589 \| good	6.652 \| good	43.976 \| good	1.181 \| good	4.303 \| good	0.142 \| good
2025-11-07T21:00:00.000Z	42 \| good	1.778 \| good	7.387 \| good	45.263 \| good	1.095 \| good	3.943 \| good	0.143 \| good
2025-11-07T22:00:00.000Z	42 \| good	2.847 \| good	11.834 \| good	44.795 \| good	1.04 \| good	3.95 \| good	0.142 \| good
2025-11-07T23:00:00.000Z	42 \| good	4.177 \| good	18.138 \| good	45.189 \| good	0.985 \| good	3.957 \| good	0.142 \| good
2025-11-08T00:00:00.000Z	39 \| good	4.877 \| good	6.254 \| good	41.557 \| good	0.932 \| good	4.002 \| good	0.141 \| good
2025-11-08T01:00:00.000Z	35 \| good	3.884 \| good	17.029 \| good	38.45 \| good	0.904 \| good	3.791 \| good	0.137 \| good
2025-11-08T02:00:00.000Z	32 \| good	3.405 \| good	15.094 \| good	34.721 \| good	0.879 \| good	3.617 \| good	0.132 \| good
2025-11-08T03:00:00.000Z	31 \| good	3.845 \| good	16.84 \| good	33.241 \| good	0.854 \| good	3.444 \| good	0.128 \| good
2025-11-08T04:00:00.000Z	30 \| good	3.184 \| good	14.014 \| good	32.236 \| good	0.987 \| good	3.449 \| good	0.127 \| good
2025-11-08T05:00:00.000Z	31 \| good	3.833 \| good	16.939 \| good	33.599 \| good	1.12 \| good	3.455 \| good	0.126 \| good

Current air quality index in Berlin, Connecticut today

Common air pollutants in Berlin, Connecticut

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Berlin, Connecticut air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Berlin, Connecticut

How accurate is Connecticut, USA air quality data?

Air quality levels in US

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)