What are the current PM10 levels at Berkley, Colorado?

The current PM10 levels in Berkley, Colorado are 30.38 μg/m3.

What are the current sulfur dioxide (SO2) levels at Berkley, Colorado?

The current sulfur dioxide (SO2) levels in Berkley, Colorado are 1.269 ppb.

What are the current ozone (O3) levels at Berkley, Colorado?

The current ozone (O3) levels at Berkley, Colorado is 11.67 ppm.

What are the current nitrogen dioxide (NO2) levels at Berkley, Colorado?

The current nitrogen dioxide (NO2) levels at Berkley, Colorado is 23.273 ppb.

Real-time air quality index in Berkley, Colorado today

Q: What are the current PM2.5 levels in Berkley, Colorado?

The measured PM2.5 levels in Berkley, Colorado at present are 6.614 μg/m3.

Stay updated with real-time air quality in Berkley, Colorado 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

Berkley, Colorado

Last updated: ... (Local time)

Common air pollutants in Berkley, Colorado

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.50 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

39.59 μg/m³

155

255

425

605+

Ozone (O₃)

9.90 ppb

201

201+

Sulfur Dioxide (SO₂)

0.98 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

28.09 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.42 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Berkley, Colorado

Get Live Pollen Counts

Berkley, Colorado

Scroll To Air Quality Map

Track live Berkley, Colorado air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-05T13:00:00.000Z	34 \| good	1.998 \| good	8.037 \| good	36.626 \| good	0.535 \| good	3.172 \| good	0.133 \| good
2026-10-05T14:00:00.000Z	34 \| good	2.013 \| good	8.163 \| good	37.142 \| good	0.72 \| good	4.823 \| good	0.1 \| good
2026-10-05T15:00:00.000Z	31 \| good	2.451 \| good	11.807 \| good	34.48 \| good	0.467 \| good	4.787 \| good	0.116 \| good
2026-10-05T16:00:00.000Z	35 \| good	2.128 \| good	14.86 \| good	37.918 \| good	0.5 \| good	5.176 \| good	0.114 \| good
2026-10-05T17:00:00.000Z	40 \| good	3.202 \| good	22.174 \| good	43.394 \| good	0.485 \| good	2.88 \| good	0.113 \| good
2026-10-05T18:00:00.000Z	38 \| good	0.625 \| good	2.214 \| good	40.857 \| good	0.297 \| good	1.25 \| good	0.1 \| good
2026-10-05T19:00:00.000Z	38 \| good	0.818 \| good	3.101 \| good	40.821 \| good	0.292 \| good	1.407 \| good	0.1 \| good
2026-10-05T20:00:00.000Z	42 \| good	0.963 \| good	4.047 \| good	45.086 \| good	0.441 \| good	1.321 \| good	0.117 \| good
2026-10-05T21:00:00.000Z	43 \| good	0.962 \| good	4.036 \| good	46.308 \| good	0.441 \| good	1.343 \| good	0.1 \| good
2026-10-05T22:00:00.000Z	43 \| good	0.96 \| good	4.091 \| good	46.373 \| good	0.475 \| good	1.294 \| good	0.1 \| good
2026-10-05T23:00:00.000Z	43 \| good	0.957 \| good	4.05 \| good	46.13 \| good	0.508 \| good	1.163 \| good	0.1 \| good
2026-10-06T00:00:00.000Z	44 \| good	0.955 \| good	4.07 \| good	48.212 \| good	0.584 \| good	1.315 \| good	0.117 \| good
2026-10-06T01:00:00.000Z	38 \| good	0.956 \| good	4.064 \| good	41.207 \| good	0.524 \| good	3.156 \| good	0.117 \| good
2026-10-06T02:00:00.000Z	38 \| good	1.994 \| good	8.06 \| good	40.769 \| good	0.351 \| good	6.827 \| good	0.161 \| good
2026-10-06T03:00:00.000Z	30 \| good	3.182 \| good	13.16 \| good	32.067 \| good	0.287 \| good	15.146 \| good	0.201 \| good
2026-10-06T04:00:00.000Z	43 \| good	2.701 \| good	11.02 \| good	45.955 \| good	0.331 \| good	8.504 \| good	0.117 \| good
2026-10-06T05:00:00.000Z	41 \| good	2.664 \| good	11.671 \| good	44.369 \| good	1.836 \| good	9.117 \| good	0.117 \| good
2026-10-06T06:00:00.000Z	41 \| good	3.197 \| good	13.655 \| good	44.395 \| good	0.528 \| good	4.768 \| good	0.1 \| good
2026-10-06T07:00:00.000Z	39 \| good	2.169 \| good	8.658 \| good	42.497 \| good	0.75 \| good	3.807 \| good	0.1 \| good
2026-10-06T08:00:00.000Z	39 \| good	3.431 \| good	14.648 \| good	42.157 \| good	0.439 \| good	4.122 \| good	0.1 \| good
2026-10-06T09:00:00.000Z	40 \| good	3.031 \| good	12.656 \| good	43.261 \| good	0.456 \| good	7.377 \| good	0.1 \| good
2026-10-06T10:00:00.000Z	43 \| good	2.833 \| good	11.991 \| good	46.029 \| good	0.369 \| good	6.803 \| good	0.1 \| good
2026-10-06T11:00:00.000Z	41 \| good	2.398 \| good	10.327 \| good	44.453 \| good	0.618 \| good	6.215 \| good	0.1 \| good
2026-10-06T12:00:00.000Z	38 \| good	3.163 \| good	13.633 \| good	40.816 \| good	0.699 \| good	3.297 \| good	0.134 \| good
2026-10-06T13:00:00.000Z	35 \| good	2.403 \| good	10.332 \| good	37.725 \| good	0.29 \| good	6.568 \| good	0.161 \| good
2026-10-06T14:00:00.000Z	36 \| good	2.575 \| good	11.35 \| good	39.496 \| good	0.415 \| good	8.376 \| good	0.289 \| good
2026-10-06T15:00:00.000Z	23 \| good	3.946 \| good	17.302 \| good	25.001 \| good	0.754 \| good	23.617 \| good	0.256 \| good
2026-10-06T16:00:00.000Z	28 \| good	5.189 \| good	23.043 \| good	29.655 \| good	1.086 \| good	23.968 \| good	0.367 \| good
2026-10-06T17:00:00.000Z	35 \| good	4.952 \| good	22.007 \| good	37.558 \| good	1.297 \| good	22.817 \| good	0.382 \| good
2026-10-06T18:00:00.000Z	39 \| good	4.225 \| good	18.71 \| good	41.779 \| good	1.382 \| good	18.318 \| good	0.259 \| good
2026-10-06T19:00:00.000Z	44 \| good	4.655 \| good	20.571 \| good	46.561 \| good	0.854 \| good	9.53 \| good	0.158 \| good
2026-10-06T20:00:00.000Z	45 \| good	4.013 \| good	17.776 \| good	49.343 \| good	0.819 \| good	6.372 \| good	0.138 \| good
2026-10-06T21:00:00.000Z	47 \| good	3.893 \| good	17.161 \| good	50.705 \| good	1.065 \| good	10.68 \| good	0.171 \| good
2026-10-06T22:00:00.000Z	50 \| good	3.863 \| good	17.2 \| good	54.438 \| good	1 \| good	6.165 \| good	0.196 \| good
2026-10-06T23:00:00.000Z	47 \| good	2.992 \| good	13.044 \| good	51.032 \| good	1.02 \| good	9.561 \| good	0.196 \| good
2026-10-07T00:00:00.000Z	43 \| good	3.73 \| good	16.238 \| good	45.659 \| good	0.864 \| good	12.365 \| good	0.236 \| good
2026-10-07T01:00:00.000Z	33 \| good	3.468 \| good	15.213 \| good	36.148 \| good	0.777 \| good	28.902 \| good	0.56 \| good
2026-10-07T02:00:00.000Z	36 \| good	4.872 \| good	21.843 \| good	38.861 \| good	0.851 \| good	33.158 \| good	0.662 \| good
2026-10-07T03:00:00.000Z	42 \| good	0.97 \| good	3.61 \| good	44.925 \| good	0.293 \| good	9.337 \| good	0.16 \| good
2026-10-07T04:00:00.000Z	28 \| good	5.364 \| good	23.698 \| good	29.838 \| good	0.904 \| good	28.912 \| good	0.494 \| good
2026-10-07T05:00:00.000Z	27 \| good	4.614 \| good	20.371 \| good	28.669 \| good	0.872 \| good	29.3 \| good	0.576 \| good
2026-10-07T06:00:00.000Z	27 \| good	4.884 \| good	21.176 \| good	29.158 \| good	0.743 \| good	28.324 \| good	0.422 \| good
2026-10-07T07:00:00.000Z	27 \| good	4.787 \| good	21.461 \| good	26.276 \| good	0.92 \| good	26.665 \| good	0.552 \| good
2026-10-07T08:00:00.000Z	30 \| good	4.864 \| good	21.4 \| good	31.775 \| good	0.944 \| good	20.074 \| good	0.272 \| good
2026-10-07T09:00:00.000Z	27 \| good	4.491 \| good	20.159 \| good	28.791 \| good	1.192 \| good	19.62 \| good	0.281 \| good
2026-10-07T10:00:00.000Z	23 \| good	4.268 \| good	18.802 \| good	25.356 \| good	1.285 \| good	17.486 \| good	0.309 \| good
2026-10-07T11:00:00.000Z	27 \| good	4.862 \| good	21.691 \| good	23.932 \| good	1.194 \| good	19.051 \| good	0.307 \| good
2026-10-07T12:00:00.000Z	27 \| good	4.931 \| good	22.06 \| good	18.748 \| good	0.99 \| good	25.977 \| good	0.389 \| good
2026-10-07T12:00:00.000Z	44 \| good	7.5 \| good	39.589 \| good	9.905 \| good	0.98 \| good	28.089 \| good	0.418 \| good
2026-10-07T12:00:00.000Z	28 \| good	2.188 \| good	9.084 \| good	29.774 \| good	0.15 \| good	7.834 \| good	0.15 \| good
2026-10-07T13:00:00.000Z	21 \| good	2.45 \| good	10.39 \| good	22.562 \| good	0.164 \| good	9.154 \| good	0.161 \| good
2026-10-07T14:00:00.000Z	22 \| good	4.167 \| good	17.864 \| good	20.233 \| good	0.199 \| good	8.965 \| good	0.186 \| good
2026-10-07T15:00:00.000Z	25 \| good	3.984 \| good	17.152 \| good	27.311 \| good	0.219 \| good	8.067 \| good	0.203 \| good
2026-10-07T16:00:00.000Z	31 \| good	4.356 \| good	19.315 \| good	32.555 \| good	0.256 \| good	4.219 \| good	0.14 \| good
2026-10-07T17:00:00.000Z	35 \| good	6.059 \| good	26.977 \| good	37.727 \| good	0.332 \| good	2.808 \| good	0.129 \| good
2026-10-07T18:00:00.000Z	43 \| good	5.764 \| good	25.059 \| good	45.888 \| good	0.345 \| good	2.123 \| good	0.124 \| good
2026-10-07T19:00:00.000Z	49 \| good	5.744 \| good	24.545 \| good	52.654 \| good	0.332 \| good	1.606 \| good	0.12 \| good
2026-10-07T20:00:00.000Z	51 \| moderate	5.605 \| good	24.087 \| good	55.354 \| fine	0.303 \| good	1.324 \| good	0.116 \| good
2026-10-07T21:00:00.000Z	47 \| good	5.411 \| good	23.175 \| good	51.443 \| good	0.275 \| good	1.191 \| good	0.113 \| good
2026-10-07T22:00:00.000Z	44 \| good	5.344 \| good	23.023 \| good	46.578 \| good	0.254 \| good	1.185 \| good	0.112 \| good
2026-10-07T23:00:00.000Z	42 \| good	5.472 \| good	23.467 \| good	44.898 \| good	0.242 \| good	1.79 \| good	0.116 \| good
2026-10-08T00:00:00.000Z	44 \| good	8.424 \| good	37.323 \| good	37.581 \| good	0.239 \| good	3.204 \| good	0.127 \| good
2026-10-08T01:00:00.000Z	52 \| moderate	10.499 \| good	46.53 \| good	29.207 \| good	0.252 \| good	5.781 \| good	0.142 \| good
2026-10-08T02:00:00.000Z	44 \| good	8.363 \| good	36.767 \| good	32.097 \| good	0.25 \| good	6.176 \| good	0.143 \| good
2026-10-08T03:00:00.000Z	35 \| good	6.123 \| good	26.856 \| good	37.945 \| good	0.256 \| good	7.65 \| good	0.148 \| good
2026-10-08T04:00:00.000Z	35 \| good	4.776 \| good	20.888 \| good	38.17 \| good	0.266 \| good	9.844 \| good	0.156 \| good
2026-10-08T05:00:00.000Z	32 \| good	4.323 \| good	18.589 \| good	34.684 \| good	0.264 \| good	11.829 \| good	0.166 \| good
2026-10-08T06:00:00.000Z	27 \| good	4.78 \| good	20.919 \| good	28.615 \| good	0.228 \| good	11.53 \| good	0.167 \| good
2026-10-08T07:00:00.000Z	27 \| good	4.883 \| good	21.523 \| good	29.102 \| good	0.186 \| good	10.175 \| good	0.162 \| good
2026-10-08T08:00:00.000Z	26 \| good	3.638 \| good	15.477 \| good	27.752 \| good	0.154 \| good	9.246 \| good	0.157 \| good
2026-10-08T09:00:00.000Z	27 \| good	3.29 \| good	14.188 \| good	29.298 \| good	0.128 \| good	8.436 \| good	0.152 \| good
2026-10-08T10:00:00.000Z	27 \| good	3.522 \| good	15.289 \| good	29.422 \| good	0.11 \| good	7.739 \| good	0.147 \| good
2026-10-08T11:00:00.000Z	27 \| good	4.59 \| good	20.069 \| good	23.284 \| good	0.097 \| good	7.234 \| good	0.142 \| good
2026-10-08T12:00:00.000Z	27 \| good	4.947 \| good	21.453 \| good	19.63 \| good	0.091 \| good	7.028 \| good	0.139 \| good
2026-10-08T13:00:00.000Z	33 \| good	5.976 \| good	25.944 \| good	18.602 \| good	0.101 \| good	7.528 \| good	0.142 \| good
2026-10-08T14:00:00.000Z	38 \| good	7.069 \| good	31.481 \| good	20.127 \| good	0.126 \| good	6.96 \| good	0.154 \| good
2026-10-08T15:00:00.000Z	27 \| good	5.045 \| good	22.165 \| good	23.361 \| good	0.15 \| good	6.322 \| good	0.167 \| good
2026-10-08T16:00:00.000Z	29 \| good	3.771 \| good	16.361 \| good	30.828 \| good	0.151 \| good	4.694 \| good	0.14 \| good
2026-10-08T17:00:00.000Z	37 \| good	4.217 \| good	18.578 \| good	39.785 \| good	0.197 \| good	2.327 \| good	0.112 \| good
2026-10-08T18:00:00.000Z	44 \| good	4.325 \| good	19.098 \| good	47.962 \| good	0.21 \| good	1.32 \| good	0.102 \| good
2026-10-08T19:00:00.000Z	50 \| good	4.583 \| good	20.133 \| good	54.432 \| good	0.197 \| good	0.874 \| good	0.097 \| good
2026-10-08T20:00:00.000Z	51 \| moderate	4.67 \| good	20.268 \| good	54.752 \| good	0.187 \| good	0.727 \| good	0.096 \| good
2026-10-08T21:00:00.000Z	50 \| good	4.556 \| good	19.932 \| good	53.797 \| good	0.186 \| good	0.816 \| good	0.095 \| good
2026-10-08T22:00:00.000Z	51 \| moderate	4.412 \| good	19.122 \| good	54.645 \| good	0.198 \| good	1.013 \| good	0.096 \| good
2026-10-08T23:00:00.000Z	44 \| good	4.093 \| good	18.016 \| good	48.018 \| good	0.216 \| good	1.636 \| good	0.101 \| good
2026-10-09T00:00:00.000Z	35 \| good	5.836 \| good	25.285 \| good	37.799 \| good	0.246 \| good	3.259 \| good	0.114 \| good
2026-10-09T01:00:00.000Z	44 \| good	8.317 \| good	36.797 \| good	33.199 \| good	0.26 \| good	6.752 \| good	0.138 \| good
2026-10-09T02:00:00.000Z	34 \| good	5.013 \| good	21.993 \| good	36.929 \| good	0.26 \| good	6.896 \| good	0.137 \| good
2026-10-09T03:00:00.000Z	36 \| good	4.176 \| good	18.036 \| good	38.608 \| good	0.256 \| good	7.455 \| good	0.138 \| good
2026-10-09T04:00:00.000Z	31 \| good	3.999 \| good	17.396 \| good	33.065 \| good	0.244 \| good	8.502 \| good	0.141 \| good
2026-10-09T05:00:00.000Z	31 \| good	3.419 \| good	14.883 \| good	32.918 \| good	0.237 \| good	10.438 \| good	0.152 \| good
2026-10-09T06:00:00.000Z	29 \| good	3.07 \| good	12.759 \| good	30.643 \| good	0.212 \| good	10.98 \| good	0.159 \| good
2026-10-09T07:00:00.000Z	31 \| good	2.743 \| good	11.701 \| good	33.572 \| good	0.178 \| good	10.28 \| good	0.158 \| good
2026-10-09T08:00:00.000Z	35 \| good	2.219 \| good	9.112 \| good	37.614 \| good	0.151 \| good	9.501 \| good	0.155 \| good
2026-10-09T09:00:00.000Z	32 \| good	1.67 \| good	6.842 \| good	35.363 \| good	0.129 \| good	8.705 \| good	0.15 \| good
2026-10-09T10:00:00.000Z	31 \| good	1.917 \| good	7.944 \| good	33.41 \| good	0.113 \| good	8.029 \| good	0.145 \| good
2026-10-09T11:00:00.000Z	29 \| good	1.789 \| good	7.193 \| good	30.523 \| good	0.1 \| good	7.495 \| good	0.14 \| good

Berkley

Empower business decisions with accurate air quality data

Berkley, Colorado air quality map: Real-time AQI near you

0.33ppm

How accurate is Colorado, USA air quality data?

Air quality measurements for Colorado, 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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Check live rankings of places in the USA affected by air pollution.

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Frequently asked questions

How frequently is the air quality data for Berkley, Colorado updated?

Air quality data for Berkley, Colorado is updated on an hourly basis.

When did Berkley, Colorado experience the worst air quality in the last 24 hours?

The worst air quality in Berkley, Colorado was recorded at 10:00:00 on 2026-10-06.

When did Berkley, Colorado have its best air quality in the last 24 hours?

The best air quality in Berkley, Colorado was recorded at 02:00:00 on 2026-10-06.

What is the real-time air quality index for Berkley, Colorado?

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

Which pollutant is found most often in Berkley, Colorado?

The most common pollutant in Berkley, Colorado is PM2.5.

What can I do if the air quality in Berkley, Colorado is poor?

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

What are the current PM_2.5 levels in Berkley, Colorado?

The measured PM_2.5 levels in Berkley, Colorado at present are 6.614 μg/m³.

What are the current PM₁₀ levels at Berkley, Colorado?

The current PM₁₀ levels in Berkley, Colorado are 30.38 μg/m³.

What are the current carbon monoxide (CO) levels at Berkley, Colorado?

The current carbon monoxide (CO) level in Berkley, Colorado is 0.327 ppm.

What are the current sulfur dioxide (SO₂) levels at Berkley, Colorado?

The current sulfur dioxide (SO₂) levels in Berkley, Colorado are 1.269 ppb.

What are the current ozone (O₃) levels at Berkley, Colorado?

The current ozone (O₃) levels at Berkley, Colorado is 11.67 ppm.

What are the current nitrogen dioxide (NO₂) levels at Berkley, Colorado?

The current nitrogen dioxide (NO₂) levels at Berkley, Colorado is 23.273 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-05T13:00:00.000Z	34 \| good	1.998 \| good	8.037 \| good	36.626 \| good	0.535 \| good	3.172 \| good	0.133 \| good
2026-10-05T14:00:00.000Z	34 \| good	2.013 \| good	8.163 \| good	37.142 \| good	0.72 \| good	4.823 \| good	0.1 \| good
2026-10-05T15:00:00.000Z	31 \| good	2.451 \| good	11.807 \| good	34.48 \| good	0.467 \| good	4.787 \| good	0.116 \| good
2026-10-05T16:00:00.000Z	35 \| good	2.128 \| good	14.86 \| good	37.918 \| good	0.5 \| good	5.176 \| good	0.114 \| good
2026-10-05T17:00:00.000Z	40 \| good	3.202 \| good	22.174 \| good	43.394 \| good	0.485 \| good	2.88 \| good	0.113 \| good
2026-10-05T18:00:00.000Z	38 \| good	0.625 \| good	2.214 \| good	40.857 \| good	0.297 \| good	1.25 \| good	0.1 \| good
2026-10-05T19:00:00.000Z	38 \| good	0.818 \| good	3.101 \| good	40.821 \| good	0.292 \| good	1.407 \| good	0.1 \| good
2026-10-05T20:00:00.000Z	42 \| good	0.963 \| good	4.047 \| good	45.086 \| good	0.441 \| good	1.321 \| good	0.117 \| good
2026-10-05T21:00:00.000Z	43 \| good	0.962 \| good	4.036 \| good	46.308 \| good	0.441 \| good	1.343 \| good	0.1 \| good
2026-10-05T22:00:00.000Z	43 \| good	0.96 \| good	4.091 \| good	46.373 \| good	0.475 \| good	1.294 \| good	0.1 \| good
2026-10-05T23:00:00.000Z	43 \| good	0.957 \| good	4.05 \| good	46.13 \| good	0.508 \| good	1.163 \| good	0.1 \| good
2026-10-06T00:00:00.000Z	44 \| good	0.955 \| good	4.07 \| good	48.212 \| good	0.584 \| good	1.315 \| good	0.117 \| good
2026-10-06T01:00:00.000Z	38 \| good	0.956 \| good	4.064 \| good	41.207 \| good	0.524 \| good	3.156 \| good	0.117 \| good
2026-10-06T02:00:00.000Z	38 \| good	1.994 \| good	8.06 \| good	40.769 \| good	0.351 \| good	6.827 \| good	0.161 \| good
2026-10-06T03:00:00.000Z	30 \| good	3.182 \| good	13.16 \| good	32.067 \| good	0.287 \| good	15.146 \| good	0.201 \| good
2026-10-06T04:00:00.000Z	43 \| good	2.701 \| good	11.02 \| good	45.955 \| good	0.331 \| good	8.504 \| good	0.117 \| good
2026-10-06T05:00:00.000Z	41 \| good	2.664 \| good	11.671 \| good	44.369 \| good	1.836 \| good	9.117 \| good	0.117 \| good
2026-10-06T06:00:00.000Z	41 \| good	3.197 \| good	13.655 \| good	44.395 \| good	0.528 \| good	4.768 \| good	0.1 \| good
2026-10-06T07:00:00.000Z	39 \| good	2.169 \| good	8.658 \| good	42.497 \| good	0.75 \| good	3.807 \| good	0.1 \| good
2026-10-06T08:00:00.000Z	39 \| good	3.431 \| good	14.648 \| good	42.157 \| good	0.439 \| good	4.122 \| good	0.1 \| good
2026-10-06T09:00:00.000Z	40 \| good	3.031 \| good	12.656 \| good	43.261 \| good	0.456 \| good	7.377 \| good	0.1 \| good
2026-10-06T10:00:00.000Z	43 \| good	2.833 \| good	11.991 \| good	46.029 \| good	0.369 \| good	6.803 \| good	0.1 \| good
2026-10-06T11:00:00.000Z	41 \| good	2.398 \| good	10.327 \| good	44.453 \| good	0.618 \| good	6.215 \| good	0.1 \| good
2026-10-06T12:00:00.000Z	38 \| good	3.163 \| good	13.633 \| good	40.816 \| good	0.699 \| good	3.297 \| good	0.134 \| good
2026-10-06T13:00:00.000Z	35 \| good	2.403 \| good	10.332 \| good	37.725 \| good	0.29 \| good	6.568 \| good	0.161 \| good
2026-10-06T14:00:00.000Z	36 \| good	2.575 \| good	11.35 \| good	39.496 \| good	0.415 \| good	8.376 \| good	0.289 \| good
2026-10-06T15:00:00.000Z	23 \| good	3.946 \| good	17.302 \| good	25.001 \| good	0.754 \| good	23.617 \| good	0.256 \| good
2026-10-06T16:00:00.000Z	28 \| good	5.189 \| good	23.043 \| good	29.655 \| good	1.086 \| good	23.968 \| good	0.367 \| good
2026-10-06T17:00:00.000Z	35 \| good	4.952 \| good	22.007 \| good	37.558 \| good	1.297 \| good	22.817 \| good	0.382 \| good
2026-10-06T18:00:00.000Z	39 \| good	4.225 \| good	18.71 \| good	41.779 \| good	1.382 \| good	18.318 \| good	0.259 \| good
2026-10-06T19:00:00.000Z	44 \| good	4.655 \| good	20.571 \| good	46.561 \| good	0.854 \| good	9.53 \| good	0.158 \| good
2026-10-06T20:00:00.000Z	45 \| good	4.013 \| good	17.776 \| good	49.343 \| good	0.819 \| good	6.372 \| good	0.138 \| good
2026-10-06T21:00:00.000Z	47 \| good	3.893 \| good	17.161 \| good	50.705 \| good	1.065 \| good	10.68 \| good	0.171 \| good
2026-10-06T22:00:00.000Z	50 \| good	3.863 \| good	17.2 \| good	54.438 \| good	1 \| good	6.165 \| good	0.196 \| good
2026-10-06T23:00:00.000Z	47 \| good	2.992 \| good	13.044 \| good	51.032 \| good	1.02 \| good	9.561 \| good	0.196 \| good
2026-10-07T00:00:00.000Z	43 \| good	3.73 \| good	16.238 \| good	45.659 \| good	0.864 \| good	12.365 \| good	0.236 \| good
2026-10-07T01:00:00.000Z	33 \| good	3.468 \| good	15.213 \| good	36.148 \| good	0.777 \| good	28.902 \| good	0.56 \| good
2026-10-07T02:00:00.000Z	36 \| good	4.872 \| good	21.843 \| good	38.861 \| good	0.851 \| good	33.158 \| good	0.662 \| good
2026-10-07T03:00:00.000Z	42 \| good	0.97 \| good	3.61 \| good	44.925 \| good	0.293 \| good	9.337 \| good	0.16 \| good
2026-10-07T04:00:00.000Z	28 \| good	5.364 \| good	23.698 \| good	29.838 \| good	0.904 \| good	28.912 \| good	0.494 \| good
2026-10-07T05:00:00.000Z	27 \| good	4.614 \| good	20.371 \| good	28.669 \| good	0.872 \| good	29.3 \| good	0.576 \| good
2026-10-07T06:00:00.000Z	27 \| good	4.884 \| good	21.176 \| good	29.158 \| good	0.743 \| good	28.324 \| good	0.422 \| good
2026-10-07T07:00:00.000Z	27 \| good	4.787 \| good	21.461 \| good	26.276 \| good	0.92 \| good	26.665 \| good	0.552 \| good
2026-10-07T08:00:00.000Z	30 \| good	4.864 \| good	21.4 \| good	31.775 \| good	0.944 \| good	20.074 \| good	0.272 \| good
2026-10-07T09:00:00.000Z	27 \| good	4.491 \| good	20.159 \| good	28.791 \| good	1.192 \| good	19.62 \| good	0.281 \| good
2026-10-07T10:00:00.000Z	23 \| good	4.268 \| good	18.802 \| good	25.356 \| good	1.285 \| good	17.486 \| good	0.309 \| good
2026-10-07T11:00:00.000Z	27 \| good	4.862 \| good	21.691 \| good	23.932 \| good	1.194 \| good	19.051 \| good	0.307 \| good
2026-10-07T12:00:00.000Z	27 \| good	4.931 \| good	22.06 \| good	18.748 \| good	0.99 \| good	25.977 \| good	0.389 \| good
2026-10-07T12:00:00.000Z	44 \| good	7.5 \| good	39.589 \| good	9.905 \| good	0.98 \| good	28.089 \| good	0.418 \| good
2026-10-07T12:00:00.000Z	28 \| good	2.188 \| good	9.084 \| good	29.774 \| good	0.15 \| good	7.834 \| good	0.15 \| good
2026-10-07T13:00:00.000Z	21 \| good	2.45 \| good	10.39 \| good	22.562 \| good	0.164 \| good	9.154 \| good	0.161 \| good
2026-10-07T14:00:00.000Z	22 \| good	4.167 \| good	17.864 \| good	20.233 \| good	0.199 \| good	8.965 \| good	0.186 \| good
2026-10-07T15:00:00.000Z	25 \| good	3.984 \| good	17.152 \| good	27.311 \| good	0.219 \| good	8.067 \| good	0.203 \| good
2026-10-07T16:00:00.000Z	31 \| good	4.356 \| good	19.315 \| good	32.555 \| good	0.256 \| good	4.219 \| good	0.14 \| good
2026-10-07T17:00:00.000Z	35 \| good	6.059 \| good	26.977 \| good	37.727 \| good	0.332 \| good	2.808 \| good	0.129 \| good
2026-10-07T18:00:00.000Z	43 \| good	5.764 \| good	25.059 \| good	45.888 \| good	0.345 \| good	2.123 \| good	0.124 \| good
2026-10-07T19:00:00.000Z	49 \| good	5.744 \| good	24.545 \| good	52.654 \| good	0.332 \| good	1.606 \| good	0.12 \| good
2026-10-07T20:00:00.000Z	51 \| moderate	5.605 \| good	24.087 \| good	55.354 \| fine	0.303 \| good	1.324 \| good	0.116 \| good
2026-10-07T21:00:00.000Z	47 \| good	5.411 \| good	23.175 \| good	51.443 \| good	0.275 \| good	1.191 \| good	0.113 \| good
2026-10-07T22:00:00.000Z	44 \| good	5.344 \| good	23.023 \| good	46.578 \| good	0.254 \| good	1.185 \| good	0.112 \| good
2026-10-07T23:00:00.000Z	42 \| good	5.472 \| good	23.467 \| good	44.898 \| good	0.242 \| good	1.79 \| good	0.116 \| good
2026-10-08T00:00:00.000Z	44 \| good	8.424 \| good	37.323 \| good	37.581 \| good	0.239 \| good	3.204 \| good	0.127 \| good
2026-10-08T01:00:00.000Z	52 \| moderate	10.499 \| good	46.53 \| good	29.207 \| good	0.252 \| good	5.781 \| good	0.142 \| good
2026-10-08T02:00:00.000Z	44 \| good	8.363 \| good	36.767 \| good	32.097 \| good	0.25 \| good	6.176 \| good	0.143 \| good
2026-10-08T03:00:00.000Z	35 \| good	6.123 \| good	26.856 \| good	37.945 \| good	0.256 \| good	7.65 \| good	0.148 \| good
2026-10-08T04:00:00.000Z	35 \| good	4.776 \| good	20.888 \| good	38.17 \| good	0.266 \| good	9.844 \| good	0.156 \| good
2026-10-08T05:00:00.000Z	32 \| good	4.323 \| good	18.589 \| good	34.684 \| good	0.264 \| good	11.829 \| good	0.166 \| good
2026-10-08T06:00:00.000Z	27 \| good	4.78 \| good	20.919 \| good	28.615 \| good	0.228 \| good	11.53 \| good	0.167 \| good
2026-10-08T07:00:00.000Z	27 \| good	4.883 \| good	21.523 \| good	29.102 \| good	0.186 \| good	10.175 \| good	0.162 \| good
2026-10-08T08:00:00.000Z	26 \| good	3.638 \| good	15.477 \| good	27.752 \| good	0.154 \| good	9.246 \| good	0.157 \| good
2026-10-08T09:00:00.000Z	27 \| good	3.29 \| good	14.188 \| good	29.298 \| good	0.128 \| good	8.436 \| good	0.152 \| good
2026-10-08T10:00:00.000Z	27 \| good	3.522 \| good	15.289 \| good	29.422 \| good	0.11 \| good	7.739 \| good	0.147 \| good
2026-10-08T11:00:00.000Z	27 \| good	4.59 \| good	20.069 \| good	23.284 \| good	0.097 \| good	7.234 \| good	0.142 \| good
2026-10-08T12:00:00.000Z	27 \| good	4.947 \| good	21.453 \| good	19.63 \| good	0.091 \| good	7.028 \| good	0.139 \| good
2026-10-08T13:00:00.000Z	33 \| good	5.976 \| good	25.944 \| good	18.602 \| good	0.101 \| good	7.528 \| good	0.142 \| good
2026-10-08T14:00:00.000Z	38 \| good	7.069 \| good	31.481 \| good	20.127 \| good	0.126 \| good	6.96 \| good	0.154 \| good
2026-10-08T15:00:00.000Z	27 \| good	5.045 \| good	22.165 \| good	23.361 \| good	0.15 \| good	6.322 \| good	0.167 \| good
2026-10-08T16:00:00.000Z	29 \| good	3.771 \| good	16.361 \| good	30.828 \| good	0.151 \| good	4.694 \| good	0.14 \| good
2026-10-08T17:00:00.000Z	37 \| good	4.217 \| good	18.578 \| good	39.785 \| good	0.197 \| good	2.327 \| good	0.112 \| good
2026-10-08T18:00:00.000Z	44 \| good	4.325 \| good	19.098 \| good	47.962 \| good	0.21 \| good	1.32 \| good	0.102 \| good
2026-10-08T19:00:00.000Z	50 \| good	4.583 \| good	20.133 \| good	54.432 \| good	0.197 \| good	0.874 \| good	0.097 \| good
2026-10-08T20:00:00.000Z	51 \| moderate	4.67 \| good	20.268 \| good	54.752 \| good	0.187 \| good	0.727 \| good	0.096 \| good
2026-10-08T21:00:00.000Z	50 \| good	4.556 \| good	19.932 \| good	53.797 \| good	0.186 \| good	0.816 \| good	0.095 \| good
2026-10-08T22:00:00.000Z	51 \| moderate	4.412 \| good	19.122 \| good	54.645 \| good	0.198 \| good	1.013 \| good	0.096 \| good
2026-10-08T23:00:00.000Z	44 \| good	4.093 \| good	18.016 \| good	48.018 \| good	0.216 \| good	1.636 \| good	0.101 \| good
2026-10-09T00:00:00.000Z	35 \| good	5.836 \| good	25.285 \| good	37.799 \| good	0.246 \| good	3.259 \| good	0.114 \| good
2026-10-09T01:00:00.000Z	44 \| good	8.317 \| good	36.797 \| good	33.199 \| good	0.26 \| good	6.752 \| good	0.138 \| good
2026-10-09T02:00:00.000Z	34 \| good	5.013 \| good	21.993 \| good	36.929 \| good	0.26 \| good	6.896 \| good	0.137 \| good
2026-10-09T03:00:00.000Z	36 \| good	4.176 \| good	18.036 \| good	38.608 \| good	0.256 \| good	7.455 \| good	0.138 \| good
2026-10-09T04:00:00.000Z	31 \| good	3.999 \| good	17.396 \| good	33.065 \| good	0.244 \| good	8.502 \| good	0.141 \| good
2026-10-09T05:00:00.000Z	31 \| good	3.419 \| good	14.883 \| good	32.918 \| good	0.237 \| good	10.438 \| good	0.152 \| good
2026-10-09T06:00:00.000Z	29 \| good	3.07 \| good	12.759 \| good	30.643 \| good	0.212 \| good	10.98 \| good	0.159 \| good
2026-10-09T07:00:00.000Z	31 \| good	2.743 \| good	11.701 \| good	33.572 \| good	0.178 \| good	10.28 \| good	0.158 \| good
2026-10-09T08:00:00.000Z	35 \| good	2.219 \| good	9.112 \| good	37.614 \| good	0.151 \| good	9.501 \| good	0.155 \| good
2026-10-09T09:00:00.000Z	32 \| good	1.67 \| good	6.842 \| good	35.363 \| good	0.129 \| good	8.705 \| good	0.15 \| good
2026-10-09T10:00:00.000Z	31 \| good	1.917 \| good	7.944 \| good	33.41 \| good	0.113 \| good	8.029 \| good	0.145 \| good
2026-10-09T11:00:00.000Z	29 \| good	1.789 \| good	7.193 \| good	30.523 \| good	0.1 \| good	7.495 \| good	0.14 \| good

Real-time air quality index in Berkley, Colorado today

Common air pollutants in Berkley, Colorado

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Berkley, Colorado air quality forecast and history

Empower business decisions with accurate air quality data

Berkley, Colorado air quality map: Real-time AQI near you

Air quality in nearby cities

Westminster, Colorado

Sherrelwood, Colorado

Federal Heights, Colorado

Arvada, Colorado

Welby, Colorado

Wheat Ridge, Colorado

How accurate is Colorado, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Berkley, Colorado updated?

When did Berkley, Colorado experience the worst air quality in the last 24 hours?

When did Berkley, Colorado have its best air quality in the last 24 hours?

What is the real-time air quality index for Berkley, Colorado?

Which pollutant is found most often in Berkley, Colorado?

What can I do if the air quality in Berkley, Colorado is poor?

What are the current PM2.5 levels in Berkley, Colorado?

What are the current PM10 levels at Berkley, Colorado?

What are the current carbon monoxide (CO) levels at Berkley, Colorado?

What are the current sulfur dioxide (SO2) levels at Berkley, Colorado?

What are the current ozone (O3) levels at Berkley, Colorado?

What are the current nitrogen dioxide (NO2) levels at Berkley, Colorado?

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 Berkley, Colorado?

What are the current PM₁₀ levels at Berkley, Colorado?

What are the current sulfur dioxide (SO₂) levels at Berkley, Colorado?

What are the current ozone (O₃) levels at Berkley, Colorado?

What are the current nitrogen dioxide (NO₂) levels at Berkley, Colorado?