What is the current level of PM10 in Berlin, Connecticut?

Berlin, Connecticut currently has a PM10 concentration of 5.571 μg/m3.

What is the current level of sulfur dioxide (SO2) in Berlin, Connecticut?

The current sulfur dioxide (SO2) concentration in Berlin, Connecticut is 0.593 ppb.

What is the current level of ozone (O3) in Berlin, Connecticut?

Berlin, Connecticut currently has an ozone (O3) concentration of 32.764 ppm.

What is the current level of nitrogen dioxide (NO2) in Berlin, Connecticut?

The current level of nitrogen dioxide (NO2) in Berlin, Connecticut is 2.366 ppb.

Current air quality index in Berlin, Connecticut today

Q: What is the PM2.5 concentration in Berlin, Connecticut right now?

Berlin, Connecticut currently has a PM2.5 concentration of 1.745 μg/m3.

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)

4.73 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

18.44 μg/m³

155

255

425

605+

Ozone (O₃)

26.16 ppb

201

201+

Sulfur Dioxide (SO₂)

0.19 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.77 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 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
2025-11-02T04:00:00.000Z	27 \| good	4.811 \| good	9.973 \| good	23.058 \| good	0.231 \| good	9.779 \| good	0.173 \| good
2025-11-02T05:00:00.000Z	22 \| good	4.162 \| good	7.548 \| good	24.366 \| good	0.207 \| good	11.504 \| good	0.173 \| good
2025-11-02T06:00:00.000Z	23 \| good	3.193 \| good	11.173 \| good	24.821 \| good	0.153 \| good	12.523 \| good	0.166 \| good
2025-11-02T07:00:00.000Z	38 \| good	6.55 \| good	19.169 \| good	24.548 \| good	0.143 \| good	12.832 \| good	0.173 \| good
2025-11-02T08:00:00.000Z	27 \| good	5.348 \| good	12.051 \| good	24.235 \| good	0.154 \| good	14.233 \| good	0.247 \| good
2025-11-02T09:00:00.000Z	27 \| good	5.272 \| good	15.32 \| good	18.93 \| good	0.209 \| good	17.202 \| good	0.273 \| good
2025-11-02T10:00:00.000Z	27 \| good	5.375 \| good	11.343 \| good	19.989 \| good	0.188 \| good	16.673 \| good	0.28 \| good
2025-11-02T11:00:00.000Z	22 \| good	4.398 \| good	8.899 \| good	15.206 \| good	0.224 \| good	11.2 \| good	0.294 \| good
2025-11-02T12:00:00.000Z	22 \| good	4.016 \| good	8.521 \| good	6.855 \| good	0.222 \| good	10.246 \| good	0.368 \| good
2025-11-02T13:00:00.000Z	22 \| good	3.974 \| good	11.906 \| good	8.465 \| good	0.142 \| good	9.701 \| good	0.385 \| good
2025-11-02T14:00:00.000Z	22 \| good	3.89 \| good	13.753 \| good	10.146 \| good	0.26 \| good	9.258 \| good	0.268 \| good
2025-11-02T15:00:00.000Z	16 \| good	3.248 \| good	7.032 \| good	15.684 \| good	0.196 \| good	7.151 \| good	0.113 \| good
2025-11-02T16:00:00.000Z	16 \| good	2.738 \| good	4.541 \| good	13.195 \| good	0.2 \| good	3.316 \| good	0.107 \| good
2025-11-02T17:00:00.000Z	18 \| good	3.031 \| good	4.781 \| good	18.801 \| good	0.18 \| good	2.325 \| good	0.107 \| good
2025-11-02T18:00:00.000Z	22 \| good	2.929 \| good	6.452 \| good	23.783 \| good	0.149 \| good	2.063 \| good	0.116 \| good
2025-11-02T19:00:00.000Z	26 \| good	3.035 \| good	5.204 \| good	28.191 \| good	0.199 \| good	2.105 \| good	0.124 \| good
2025-11-02T20:00:00.000Z	27 \| good	3.349 \| good	7.61 \| good	29.316 \| good	0.166 \| good	2.061 \| good	0.124 \| good
2025-11-02T21:00:00.000Z	30 \| good	3.305 \| good	6.77 \| good	32.066 \| good	0.174 \| good	3.419 \| good	0.132 \| good
2025-11-02T22:00:00.000Z	29 \| good	3.58 \| good	6.308 \| good	30.662 \| good	0.126 \| good	5.052 \| good	0.132 \| good
2025-11-02T23:00:00.000Z	27 \| good	4.713 \| good	14.913 \| good	28.835 \| good	0.149 \| good	9.828 \| good	0.242 \| good
2025-11-03T00:00:00.000Z	54 \| moderate	10.712 \| good	14.682 \| good	25.177 \| good	0.282 \| good	15.772 \| good	0.49 \| good
2025-11-03T01:00:00.000Z	56 \| moderate	11.845 \| good	27.858 \| good	22.238 \| good	0.394 \| good	15.88 \| good	0.491 \| good
2025-11-03T02:00:00.000Z	49 \| good	9.041 \| good	25.348 \| good	19.261 \| good	0.33 \| good	23.78 \| good	0.483 \| good
2025-11-03T03:00:00.000Z	54 \| moderate	10.825 \| good	24.249 \| good	8.053 \| good	0.336 \| good	22.137 \| good	0.451 \| good
2025-11-03T04:00:00.000Z	52 \| moderate	9.696 \| good	21.83 \| good	12.777 \| good	0.294 \| good	21.279 \| good	0.399 \| good
2025-11-03T05:00:00.000Z	54 \| moderate	10.814 \| good	25.376 \| good	4.566 \| good	0.264 \| good	19.523 \| good	0.438 \| good
2025-11-03T06:00:00.000Z	56 \| moderate	12.024 \| good	22.512 \| good	7.186 \| good	0.312 \| good	25.521 \| good	0.417 \| good
2025-11-03T07:00:00.000Z	58 \| moderate	13.074 \| fine	30.743 \| good	5.171 \| good	0.255 \| good	25.738 \| good	0.509 \| good
2025-11-03T08:00:00.000Z	60 \| moderate	13.646 \| fine	46.295 \| good	2.261 \| good	0.365 \| good	25.166 \| good	0.335 \| good
2025-11-03T09:00:00.000Z	66 \| moderate	16.565 \| fine	38.45 \| good	5.824 \| good	0.338 \| good	20.535 \| good	0.336 \| good
2025-11-03T10:00:00.000Z	58 \| moderate	12.639 \| fine	33.763 \| good	4.682 \| good	0.264 \| good	22.518 \| good	0.391 \| good
2025-11-03T11:00:00.000Z	54 \| moderate	10.686 \| good	25.905 \| good	3.211 \| good	0.542 \| good	20.635 \| good	0.402 \| good
2025-11-03T12:00:00.000Z	52 \| moderate	9.731 \| good	25.032 \| good	3.932 \| good	0.671 \| good	24.326 \| good	0.372 \| good
2025-11-03T13:00:00.000Z	49 \| good	9.093 \| good	53.347 \| good	8.7 \| good	0.798 \| good	21.918 \| good	0.477 \| good
2025-11-03T14:00:00.000Z	54 \| moderate	11.126 \| good	60.781 \| fine	7.61 \| good	0.717 \| good	20.24 \| good	0.513 \| good
2025-11-03T15:00:00.000Z	56 \| moderate	12.072 \| good	23.204 \| good	14.601 \| good	0.418 \| good	13.482 \| good	0.551 \| good
2025-11-03T16:00:00.000Z	56 \| moderate	12.467 \| fine	18.706 \| good	13.137 \| good	0.475 \| good	13.188 \| good	0.585 \| good
2025-11-03T17:00:00.000Z	54 \| moderate	11.196 \| good	20.671 \| good	22.776 \| good	0.319 \| good	15.355 \| good	0.493 \| good
2025-11-03T18:00:00.000Z	52 \| moderate	9.761 \| good	20.875 \| good	24.646 \| good	0.282 \| good	14.677 \| good	0.258 \| good
2025-11-03T19:00:00.000Z	38 \| good	6.682 \| good	16.162 \| good	26.976 \| good	0.213 \| good	13.538 \| good	0.2 \| good
2025-11-03T20:00:00.000Z	38 \| good	6.59 \| good	19.084 \| good	32.215 \| good	0.194 \| good	15.561 \| good	0.258 \| good
2025-11-03T21:00:00.000Z	29 \| good	5.441 \| good	19.414 \| good	30.51 \| good	0.228 \| good	14.667 \| good	0.208 \| good
2025-11-03T22:00:00.000Z	29 \| good	4.823 \| good	12.772 \| good	31.254 \| good	0.157 \| good	9.305 \| good	0.235 \| good
2025-11-03T23:00:00.000Z	27 \| good	4.802 \| good	13.497 \| good	28.611 \| good	0.156 \| good	9.104 \| good	0.226 \| good
2025-11-04T00:00:00.000Z	28 \| good	5.163 \| good	27.635 \| good	30.468 \| good	0.273 \| good	8.188 \| good	0.242 \| good
2025-11-04T01:00:00.000Z	30 \| good	5.345 \| good	16.199 \| good	32.009 \| good	0.357 \| good	12.655 \| good	0.208 \| good
2025-11-04T02:00:00.000Z	31 \| good	5.067 \| good	17.182 \| good	32.535 \| good	0.231 \| good	10.121 \| good	0.184 \| good
2025-11-04T03:00:00.000Z	27 \| good	5.161 \| good	12.381 \| good	26.21 \| good	0.186 \| good	8.351 \| good	0.176 \| good
2025-11-04T03:00:00.000Z	27 \| good	4.727 \| good	18.441 \| good	26.16 \| good	0.186 \| good	7.774 \| good	0.177 \| good
2025-11-01T08:00:00.000Z	31 \| good	2.843 \| good	11.91 \| good	33.745 \| good	0.306 \| good	1.104 \| good	0.133 \| good
2025-11-01T09:00:00.000Z	30 \| good	3.032 \| good	12.292 \| good	31.978 \| good	0.294 \| good	1.044 \| good	0.13 \| good
2025-11-01T10:00:00.000Z	29 \| good	2.823 \| good	11.939 \| good	31.458 \| good	0.32 \| good	1.545 \| good	0.133 \| good
2025-11-01T11:00:00.000Z	29 \| good	2.892 \| good	12 \| good	30.596 \| good	0.346 \| good	2.047 \| good	0.136 \| good
2025-11-01T12:00:00.000Z	26 \| good	2.911 \| good	12.032 \| good	27.69 \| good	0.372 \| good	2.548 \| good	0.139 \| good
2025-11-01T13:00:00.000Z	31 \| good	3.065 \| good	12.308 \| good	34.113 \| good	0.348 \| good	2.149 \| good	0.136 \| good
2025-11-01T14:00:00.000Z	33 \| good	2.835 \| good	11.914 \| good	36.482 \| good	0.324 \| good	1.75 \| good	0.134 \| good
2025-11-01T15:00:00.000Z	34 \| good	2.613 \| good	10.914 \| good	37.272 \| good	0.299 \| good	1.351 \| good	0.131 \| good
2025-11-01T16:00:00.000Z	34 \| good	2.433 \| good	9.992 \| good	36.667 \| good	0.28 \| good	1.273 \| good	0.13 \| good
2025-11-01T17:00:00.000Z	33 \| good	1.955 \| good	8.023 \| good	35.967 \| good	0.26 \| good	1.196 \| good	0.129 \| good
2025-11-01T18:00:00.000Z	34 \| good	1.608 \| good	6.93 \| good	37.431 \| good	0.241 \| good	1.118 \| good	0.128 \| good
2025-11-01T19:00:00.000Z	34 \| good	1.358 \| good	5.146 \| good	37.033 \| good	0.24 \| good	1.437 \| good	0.129 \| good
2025-11-01T20:00:00.000Z	33 \| good	1.129 \| good	4.987 \| good	35.968 \| good	0.238 \| good	1.755 \| good	0.131 \| good
2025-11-01T21:00:00.000Z	30 \| good	1.132 \| good	4.838 \| good	32.019 \| good	0.237 \| good	2.074 \| good	0.132 \| good
2025-11-01T22:00:00.000Z	29 \| good	1.568 \| good	6.676 \| good	31.113 \| good	0.278 \| good	2.641 \| good	0.136 \| good
2025-11-01T23:00:00.000Z	31 \| good	2.155 \| good	8.761 \| good	34.349 \| good	0.318 \| good	3.207 \| good	0.14 \| good
2025-11-02T00:00:00.000Z	33 \| good	3.605 \| good	15.34 \| good	35.739 \| good	0.358 \| good	3.774 \| good	0.144 \| good
2025-11-02T01:00:00.000Z	33 \| good	5.876 \| good	26.033 \| good	28.489 \| good	0.382 \| good	3.979 \| good	0.146 \| good
2025-11-02T02:00:00.000Z	38 \| good	6.973 \| good	31.104 \| good	23.082 \| good	0.406 \| good	4.184 \| good	0.148 \| good
2025-11-02T03:00:00.000Z	38 \| good	7.316 \| good	32.12 \| good	18.536 \| good	0.43 \| good	4.389 \| good	0.15 \| good
2025-11-02T04:00:00.000Z	44 \| good	7.666 \| good	33.319 \| good	17.596 \| good	0.45 \| good	4.291 \| good	0.149 \| good
2025-11-02T05:00:00.000Z	38 \| good	6.543 \| good	28.972 \| good	17.488 \| good	0.471 \| good	4.193 \| good	0.148 \| good
2025-11-02T06:00:00.000Z	27 \| good	5.386 \| good	23.34 \| good	18.21 \| good	0.492 \| good	4.096 \| good	0.148 \| good
2025-11-02T07:00:00.000Z	27 \| good	5.123 \| good	22.454 \| good	17.696 \| good	0.52 \| good	3.99 \| good	0.147 \| good
2025-11-02T08:00:00.000Z	27 \| good	4.786 \| good	20.809 \| good	18.218 \| good	0.549 \| good	3.885 \| good	0.146 \| good
2025-11-02T09:00:00.000Z	27 \| good	4.603 \| good	19.947 \| good	14.798 \| good	0.578 \| good	3.78 \| good	0.145 \| good
2025-11-02T10:00:00.000Z	27 \| good	4.651 \| good	20.122 \| good	17.285 \| good	0.667 \| good	5.98 \| good	0.166 \| good
2025-11-02T11:00:00.000Z	22 \| good	4.359 \| good	18.97 \| good	16.685 \| good	0.756 \| good	8.181 \| good	0.187 \| good
2025-11-02T12:00:00.000Z	22 \| good	4.46 \| good	19.145 \| good	17.423 \| good	0.845 \| good	10.381 \| good	0.208 \| good
2025-11-02T13:00:00.000Z	22 \| good	3.93 \| good	17.098 \| good	23.428 \| good	0.707 \| good	7.629 \| good	0.185 \| good
2025-11-02T14:00:00.000Z	27 \| good	3.425 \| good	15 \| good	29.254 \| good	0.568 \| good	4.876 \| good	0.163 \| good
2025-11-02T15:00:00.000Z	31 \| good	3.017 \| good	12 \| good	33.427 \| good	0.43 \| good	2.124 \| good	0.141 \| good
2025-11-02T16:00:00.000Z	34 \| good	2.654 \| good	11 \| good	36.758 \| good	0.398 \| good	2.002 \| good	0.14 \| good
2025-11-02T17:00:00.000Z	34 \| good	2.881 \| good	12.019 \| good	36.634 \| good	0.365 \| good	1.879 \| good	0.138 \| good
2025-11-02T18:00:00.000Z	36 \| good	3.202 \| good	14.018 \| good	38.782 \| good	0.333 \| good	1.756 \| good	0.136 \| good
2025-11-02T19:00:00.000Z	39 \| good	2.915 \| good	12 \| good	42.151 \| good	0.349 \| good	2.331 \| good	0.141 \| good
2025-11-02T20:00:00.000Z	36 \| good	3.069 \| good	12.18 \| good	39.003 \| good	0.366 \| good	2.906 \| good	0.146 \| good
2025-11-02T21:00:00.000Z	34 \| good	3.771 \| good	16.069 \| good	36.56 \| good	0.382 \| good	3.48 \| good	0.15 \| good
2025-11-02T22:00:00.000Z	30 \| good	5.348 \| good	22.945 \| good	31.691 \| good	0.596 \| good	9.915 \| good	0.218 \| good
2025-11-02T23:00:00.000Z	44 \| good	8.049 \| good	35.081 \| good	28.057 \| good	0.809 \| good	16.351 \| good	0.286 \| good
2025-11-03T00:00:00.000Z	52 \| moderate	10.079 \| good	44.913 \| good	23.358 \| good	1.022 \| good	22.786 \| good	0.354 \| good
2025-11-03T01:00:00.000Z	54 \| moderate	11.313 \| good	49.952 \| good	20.813 \| good	1.239 \| good	22.67 \| good	0.404 \| good
2025-11-03T02:00:00.000Z	56 \| moderate	11.963 \| good	53.602 \| good	17.25 \| good	1.455 \| good	22.553 \| good	0.454 \| good
2025-11-03T03:00:00.000Z	56 \| moderate	11.896 \| good	53.776 \| good	16.828 \| good	1.671 \| good	22.436 \| good	0.504 \| good
2025-11-03T04:00:00.000Z	54 \| moderate	11.099 \| good	49.286 \| good	17.784 \| good	1.571 \| good	22.112 \| good	0.47 \| good
2025-11-03T05:00:00.000Z	54 \| moderate	10.838 \| good	48.165 \| good	16.84 \| good	1.471 \| good	21.788 \| good	0.436 \| good
2025-11-03T06:00:00.000Z	71 \| moderate	19.574 \| fine	19.608 \| good	3.945 \| good	1.369 \| good	21.444 \| good	0.402 \| good
2025-11-03T07:00:00.000Z	54 \| moderate	10.997 \| good	48.281 \| good	13.013 \| good	1.342 \| good	20.277 \| good	0.364 \| good

Berlin

Empower business decisions with accurate air quality data

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

0.10ppm

How accurate is Connecticut, USA air quality data?

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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Frequently asked questions

How frequently does the air quality data for Berlin, Connecticut get updated?

Air quality updates for Berlin, Connecticut are available every hour.

What time in the past 24 hours saw the poorest air quality in Berlin, Connecticut?

Berlin, Connecticut experienced its worst air quality at 08:00:00, 2025-10-31.

When was air quality in Berlin, Connecticut the best over the past 24 hours?

The best air quality in Berlin, Connecticut was observed at 05:00:00 on 2025-10-31.

What is the air quality in Berlin, Connecticut right now?

The air quality in Berlin, Connecticut right now is Good, with an AQI of 31.

What pollutant is most frequently found in Berlin, Connecticut?

In Berlin, Connecticut, O3 is the most frequently found pollutant.

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

When air quality in Berlin, Connecticut is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Berlin, Connecticut right now?

Berlin, Connecticut currently has a PM_2.5 concentration of 1.745 μg/m³.

What is the current level of PM₁₀ in Berlin, Connecticut?

Berlin, Connecticut currently has a PM₁₀ concentration of 5.571 μg/m³.

What is the current level of carbon monoxide (CO) in Berlin, Connecticut?

The current carbon monoxide (CO) level in Berlin, Connecticut is 0.1 ppm.

What is the current level of sulfur dioxide (SO₂) in Berlin, Connecticut?

The current sulfur dioxide (SO₂) concentration in Berlin, Connecticut is 0.593 ppb.

What is the current level of ozone (O₃) in Berlin, Connecticut?

Berlin, Connecticut currently has an ozone (O₃) concentration of 32.764 ppm.

What is the current level of nitrogen dioxide (NO₂) in Berlin, Connecticut?

The current level of nitrogen dioxide (NO₂) in Berlin, Connecticut is 2.366 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T04:00:00.000Z	27 \| good	4.811 \| good	9.973 \| good	23.058 \| good	0.231 \| good	9.779 \| good	0.173 \| good
2025-11-02T05:00:00.000Z	22 \| good	4.162 \| good	7.548 \| good	24.366 \| good	0.207 \| good	11.504 \| good	0.173 \| good
2025-11-02T06:00:00.000Z	23 \| good	3.193 \| good	11.173 \| good	24.821 \| good	0.153 \| good	12.523 \| good	0.166 \| good
2025-11-02T07:00:00.000Z	38 \| good	6.55 \| good	19.169 \| good	24.548 \| good	0.143 \| good	12.832 \| good	0.173 \| good
2025-11-02T08:00:00.000Z	27 \| good	5.348 \| good	12.051 \| good	24.235 \| good	0.154 \| good	14.233 \| good	0.247 \| good
2025-11-02T09:00:00.000Z	27 \| good	5.272 \| good	15.32 \| good	18.93 \| good	0.209 \| good	17.202 \| good	0.273 \| good
2025-11-02T10:00:00.000Z	27 \| good	5.375 \| good	11.343 \| good	19.989 \| good	0.188 \| good	16.673 \| good	0.28 \| good
2025-11-02T11:00:00.000Z	22 \| good	4.398 \| good	8.899 \| good	15.206 \| good	0.224 \| good	11.2 \| good	0.294 \| good
2025-11-02T12:00:00.000Z	22 \| good	4.016 \| good	8.521 \| good	6.855 \| good	0.222 \| good	10.246 \| good	0.368 \| good
2025-11-02T13:00:00.000Z	22 \| good	3.974 \| good	11.906 \| good	8.465 \| good	0.142 \| good	9.701 \| good	0.385 \| good
2025-11-02T14:00:00.000Z	22 \| good	3.89 \| good	13.753 \| good	10.146 \| good	0.26 \| good	9.258 \| good	0.268 \| good
2025-11-02T15:00:00.000Z	16 \| good	3.248 \| good	7.032 \| good	15.684 \| good	0.196 \| good	7.151 \| good	0.113 \| good
2025-11-02T16:00:00.000Z	16 \| good	2.738 \| good	4.541 \| good	13.195 \| good	0.2 \| good	3.316 \| good	0.107 \| good
2025-11-02T17:00:00.000Z	18 \| good	3.031 \| good	4.781 \| good	18.801 \| good	0.18 \| good	2.325 \| good	0.107 \| good
2025-11-02T18:00:00.000Z	22 \| good	2.929 \| good	6.452 \| good	23.783 \| good	0.149 \| good	2.063 \| good	0.116 \| good
2025-11-02T19:00:00.000Z	26 \| good	3.035 \| good	5.204 \| good	28.191 \| good	0.199 \| good	2.105 \| good	0.124 \| good
2025-11-02T20:00:00.000Z	27 \| good	3.349 \| good	7.61 \| good	29.316 \| good	0.166 \| good	2.061 \| good	0.124 \| good
2025-11-02T21:00:00.000Z	30 \| good	3.305 \| good	6.77 \| good	32.066 \| good	0.174 \| good	3.419 \| good	0.132 \| good
2025-11-02T22:00:00.000Z	29 \| good	3.58 \| good	6.308 \| good	30.662 \| good	0.126 \| good	5.052 \| good	0.132 \| good
2025-11-02T23:00:00.000Z	27 \| good	4.713 \| good	14.913 \| good	28.835 \| good	0.149 \| good	9.828 \| good	0.242 \| good
2025-11-03T00:00:00.000Z	54 \| moderate	10.712 \| good	14.682 \| good	25.177 \| good	0.282 \| good	15.772 \| good	0.49 \| good
2025-11-03T01:00:00.000Z	56 \| moderate	11.845 \| good	27.858 \| good	22.238 \| good	0.394 \| good	15.88 \| good	0.491 \| good
2025-11-03T02:00:00.000Z	49 \| good	9.041 \| good	25.348 \| good	19.261 \| good	0.33 \| good	23.78 \| good	0.483 \| good
2025-11-03T03:00:00.000Z	54 \| moderate	10.825 \| good	24.249 \| good	8.053 \| good	0.336 \| good	22.137 \| good	0.451 \| good
2025-11-03T04:00:00.000Z	52 \| moderate	9.696 \| good	21.83 \| good	12.777 \| good	0.294 \| good	21.279 \| good	0.399 \| good
2025-11-03T05:00:00.000Z	54 \| moderate	10.814 \| good	25.376 \| good	4.566 \| good	0.264 \| good	19.523 \| good	0.438 \| good
2025-11-03T06:00:00.000Z	56 \| moderate	12.024 \| good	22.512 \| good	7.186 \| good	0.312 \| good	25.521 \| good	0.417 \| good
2025-11-03T07:00:00.000Z	58 \| moderate	13.074 \| fine	30.743 \| good	5.171 \| good	0.255 \| good	25.738 \| good	0.509 \| good
2025-11-03T08:00:00.000Z	60 \| moderate	13.646 \| fine	46.295 \| good	2.261 \| good	0.365 \| good	25.166 \| good	0.335 \| good
2025-11-03T09:00:00.000Z	66 \| moderate	16.565 \| fine	38.45 \| good	5.824 \| good	0.338 \| good	20.535 \| good	0.336 \| good
2025-11-03T10:00:00.000Z	58 \| moderate	12.639 \| fine	33.763 \| good	4.682 \| good	0.264 \| good	22.518 \| good	0.391 \| good
2025-11-03T11:00:00.000Z	54 \| moderate	10.686 \| good	25.905 \| good	3.211 \| good	0.542 \| good	20.635 \| good	0.402 \| good
2025-11-03T12:00:00.000Z	52 \| moderate	9.731 \| good	25.032 \| good	3.932 \| good	0.671 \| good	24.326 \| good	0.372 \| good
2025-11-03T13:00:00.000Z	49 \| good	9.093 \| good	53.347 \| good	8.7 \| good	0.798 \| good	21.918 \| good	0.477 \| good
2025-11-03T14:00:00.000Z	54 \| moderate	11.126 \| good	60.781 \| fine	7.61 \| good	0.717 \| good	20.24 \| good	0.513 \| good
2025-11-03T15:00:00.000Z	56 \| moderate	12.072 \| good	23.204 \| good	14.601 \| good	0.418 \| good	13.482 \| good	0.551 \| good
2025-11-03T16:00:00.000Z	56 \| moderate	12.467 \| fine	18.706 \| good	13.137 \| good	0.475 \| good	13.188 \| good	0.585 \| good
2025-11-03T17:00:00.000Z	54 \| moderate	11.196 \| good	20.671 \| good	22.776 \| good	0.319 \| good	15.355 \| good	0.493 \| good
2025-11-03T18:00:00.000Z	52 \| moderate	9.761 \| good	20.875 \| good	24.646 \| good	0.282 \| good	14.677 \| good	0.258 \| good
2025-11-03T19:00:00.000Z	38 \| good	6.682 \| good	16.162 \| good	26.976 \| good	0.213 \| good	13.538 \| good	0.2 \| good
2025-11-03T20:00:00.000Z	38 \| good	6.59 \| good	19.084 \| good	32.215 \| good	0.194 \| good	15.561 \| good	0.258 \| good
2025-11-03T21:00:00.000Z	29 \| good	5.441 \| good	19.414 \| good	30.51 \| good	0.228 \| good	14.667 \| good	0.208 \| good
2025-11-03T22:00:00.000Z	29 \| good	4.823 \| good	12.772 \| good	31.254 \| good	0.157 \| good	9.305 \| good	0.235 \| good
2025-11-03T23:00:00.000Z	27 \| good	4.802 \| good	13.497 \| good	28.611 \| good	0.156 \| good	9.104 \| good	0.226 \| good
2025-11-04T00:00:00.000Z	28 \| good	5.163 \| good	27.635 \| good	30.468 \| good	0.273 \| good	8.188 \| good	0.242 \| good
2025-11-04T01:00:00.000Z	30 \| good	5.345 \| good	16.199 \| good	32.009 \| good	0.357 \| good	12.655 \| good	0.208 \| good
2025-11-04T02:00:00.000Z	31 \| good	5.067 \| good	17.182 \| good	32.535 \| good	0.231 \| good	10.121 \| good	0.184 \| good
2025-11-04T03:00:00.000Z	27 \| good	5.161 \| good	12.381 \| good	26.21 \| good	0.186 \| good	8.351 \| good	0.176 \| good
2025-11-04T03:00:00.000Z	27 \| good	4.727 \| good	18.441 \| good	26.16 \| good	0.186 \| good	7.774 \| good	0.177 \| good
2025-11-01T08:00:00.000Z	31 \| good	2.843 \| good	11.91 \| good	33.745 \| good	0.306 \| good	1.104 \| good	0.133 \| good
2025-11-01T09:00:00.000Z	30 \| good	3.032 \| good	12.292 \| good	31.978 \| good	0.294 \| good	1.044 \| good	0.13 \| good
2025-11-01T10:00:00.000Z	29 \| good	2.823 \| good	11.939 \| good	31.458 \| good	0.32 \| good	1.545 \| good	0.133 \| good
2025-11-01T11:00:00.000Z	29 \| good	2.892 \| good	12 \| good	30.596 \| good	0.346 \| good	2.047 \| good	0.136 \| good
2025-11-01T12:00:00.000Z	26 \| good	2.911 \| good	12.032 \| good	27.69 \| good	0.372 \| good	2.548 \| good	0.139 \| good
2025-11-01T13:00:00.000Z	31 \| good	3.065 \| good	12.308 \| good	34.113 \| good	0.348 \| good	2.149 \| good	0.136 \| good
2025-11-01T14:00:00.000Z	33 \| good	2.835 \| good	11.914 \| good	36.482 \| good	0.324 \| good	1.75 \| good	0.134 \| good
2025-11-01T15:00:00.000Z	34 \| good	2.613 \| good	10.914 \| good	37.272 \| good	0.299 \| good	1.351 \| good	0.131 \| good
2025-11-01T16:00:00.000Z	34 \| good	2.433 \| good	9.992 \| good	36.667 \| good	0.28 \| good	1.273 \| good	0.13 \| good
2025-11-01T17:00:00.000Z	33 \| good	1.955 \| good	8.023 \| good	35.967 \| good	0.26 \| good	1.196 \| good	0.129 \| good
2025-11-01T18:00:00.000Z	34 \| good	1.608 \| good	6.93 \| good	37.431 \| good	0.241 \| good	1.118 \| good	0.128 \| good
2025-11-01T19:00:00.000Z	34 \| good	1.358 \| good	5.146 \| good	37.033 \| good	0.24 \| good	1.437 \| good	0.129 \| good
2025-11-01T20:00:00.000Z	33 \| good	1.129 \| good	4.987 \| good	35.968 \| good	0.238 \| good	1.755 \| good	0.131 \| good
2025-11-01T21:00:00.000Z	30 \| good	1.132 \| good	4.838 \| good	32.019 \| good	0.237 \| good	2.074 \| good	0.132 \| good
2025-11-01T22:00:00.000Z	29 \| good	1.568 \| good	6.676 \| good	31.113 \| good	0.278 \| good	2.641 \| good	0.136 \| good
2025-11-01T23:00:00.000Z	31 \| good	2.155 \| good	8.761 \| good	34.349 \| good	0.318 \| good	3.207 \| good	0.14 \| good
2025-11-02T00:00:00.000Z	33 \| good	3.605 \| good	15.34 \| good	35.739 \| good	0.358 \| good	3.774 \| good	0.144 \| good
2025-11-02T01:00:00.000Z	33 \| good	5.876 \| good	26.033 \| good	28.489 \| good	0.382 \| good	3.979 \| good	0.146 \| good
2025-11-02T02:00:00.000Z	38 \| good	6.973 \| good	31.104 \| good	23.082 \| good	0.406 \| good	4.184 \| good	0.148 \| good
2025-11-02T03:00:00.000Z	38 \| good	7.316 \| good	32.12 \| good	18.536 \| good	0.43 \| good	4.389 \| good	0.15 \| good
2025-11-02T04:00:00.000Z	44 \| good	7.666 \| good	33.319 \| good	17.596 \| good	0.45 \| good	4.291 \| good	0.149 \| good
2025-11-02T05:00:00.000Z	38 \| good	6.543 \| good	28.972 \| good	17.488 \| good	0.471 \| good	4.193 \| good	0.148 \| good
2025-11-02T06:00:00.000Z	27 \| good	5.386 \| good	23.34 \| good	18.21 \| good	0.492 \| good	4.096 \| good	0.148 \| good
2025-11-02T07:00:00.000Z	27 \| good	5.123 \| good	22.454 \| good	17.696 \| good	0.52 \| good	3.99 \| good	0.147 \| good
2025-11-02T08:00:00.000Z	27 \| good	4.786 \| good	20.809 \| good	18.218 \| good	0.549 \| good	3.885 \| good	0.146 \| good
2025-11-02T09:00:00.000Z	27 \| good	4.603 \| good	19.947 \| good	14.798 \| good	0.578 \| good	3.78 \| good	0.145 \| good
2025-11-02T10:00:00.000Z	27 \| good	4.651 \| good	20.122 \| good	17.285 \| good	0.667 \| good	5.98 \| good	0.166 \| good
2025-11-02T11:00:00.000Z	22 \| good	4.359 \| good	18.97 \| good	16.685 \| good	0.756 \| good	8.181 \| good	0.187 \| good
2025-11-02T12:00:00.000Z	22 \| good	4.46 \| good	19.145 \| good	17.423 \| good	0.845 \| good	10.381 \| good	0.208 \| good
2025-11-02T13:00:00.000Z	22 \| good	3.93 \| good	17.098 \| good	23.428 \| good	0.707 \| good	7.629 \| good	0.185 \| good
2025-11-02T14:00:00.000Z	27 \| good	3.425 \| good	15 \| good	29.254 \| good	0.568 \| good	4.876 \| good	0.163 \| good
2025-11-02T15:00:00.000Z	31 \| good	3.017 \| good	12 \| good	33.427 \| good	0.43 \| good	2.124 \| good	0.141 \| good
2025-11-02T16:00:00.000Z	34 \| good	2.654 \| good	11 \| good	36.758 \| good	0.398 \| good	2.002 \| good	0.14 \| good
2025-11-02T17:00:00.000Z	34 \| good	2.881 \| good	12.019 \| good	36.634 \| good	0.365 \| good	1.879 \| good	0.138 \| good
2025-11-02T18:00:00.000Z	36 \| good	3.202 \| good	14.018 \| good	38.782 \| good	0.333 \| good	1.756 \| good	0.136 \| good
2025-11-02T19:00:00.000Z	39 \| good	2.915 \| good	12 \| good	42.151 \| good	0.349 \| good	2.331 \| good	0.141 \| good
2025-11-02T20:00:00.000Z	36 \| good	3.069 \| good	12.18 \| good	39.003 \| good	0.366 \| good	2.906 \| good	0.146 \| good
2025-11-02T21:00:00.000Z	34 \| good	3.771 \| good	16.069 \| good	36.56 \| good	0.382 \| good	3.48 \| good	0.15 \| good
2025-11-02T22:00:00.000Z	30 \| good	5.348 \| good	22.945 \| good	31.691 \| good	0.596 \| good	9.915 \| good	0.218 \| good
2025-11-02T23:00:00.000Z	44 \| good	8.049 \| good	35.081 \| good	28.057 \| good	0.809 \| good	16.351 \| good	0.286 \| good
2025-11-03T00:00:00.000Z	52 \| moderate	10.079 \| good	44.913 \| good	23.358 \| good	1.022 \| good	22.786 \| good	0.354 \| good
2025-11-03T01:00:00.000Z	54 \| moderate	11.313 \| good	49.952 \| good	20.813 \| good	1.239 \| good	22.67 \| good	0.404 \| good
2025-11-03T02:00:00.000Z	56 \| moderate	11.963 \| good	53.602 \| good	17.25 \| good	1.455 \| good	22.553 \| good	0.454 \| good
2025-11-03T03:00:00.000Z	56 \| moderate	11.896 \| good	53.776 \| good	16.828 \| good	1.671 \| good	22.436 \| good	0.504 \| good
2025-11-03T04:00:00.000Z	54 \| moderate	11.099 \| good	49.286 \| good	17.784 \| good	1.571 \| good	22.112 \| good	0.47 \| good
2025-11-03T05:00:00.000Z	54 \| moderate	10.838 \| good	48.165 \| good	16.84 \| good	1.471 \| good	21.788 \| good	0.436 \| good
2025-11-03T06:00:00.000Z	71 \| moderate	19.574 \| fine	19.608 \| good	3.945 \| good	1.369 \| good	21.444 \| good	0.402 \| good
2025-11-03T07:00:00.000Z	54 \| moderate	10.997 \| good	48.281 \| good	13.013 \| good	1.342 \| good	20.277 \| good	0.364 \| 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

Air quality in nearby cities

New Britain, Connecticut

Rocky Hill, Connecticut

Newington, Connecticut

Cromwell, Connecticut

Middletown, Connecticut

Meriden, Connecticut

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Frequently asked questions

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Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Berlin, Connecticut right now?

What is the current level of PM₁₀ in Berlin, Connecticut?

What is the current level of sulfur dioxide (SO₂) in Berlin, Connecticut?

What is the current level of ozone (O₃) in Berlin, Connecticut?

What is the current level of nitrogen dioxide (NO₂) in Berlin, Connecticut?