What are the current PM10 levels at South Pasadena, California?

The current PM10 levels in South Pasadena, California are 5.931 μg/m3.

What are the current sulfur dioxide (SO2) levels at South Pasadena, California?

The current sulfur dioxide (SO2) levels in South Pasadena, California are 0.21 ppb.

What are the current ozone (O3) levels at South Pasadena, California?

The current ozone (O3) levels at South Pasadena, California is 38.94 ppm.

What are the current nitrogen dioxide (NO2) levels at South Pasadena, California?

The current nitrogen dioxide (NO2) levels at South Pasadena, California is 3.423 ppb.

Real-time air quality index in South Pasadena, California today

Q: What are the current PM2.5 levels in South Pasadena, California?

The measured PM2.5 levels in South Pasadena, California at present are 2.112 μg/m3.

Stay updated with real-time air quality in South Pasadena, California 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

South Pasadena, California

Last updated: ... (Local time)

Common air pollutants in South Pasadena, California

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.11 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

5.93 μg/m³

155

255

425

605+

Ozone (O₃)

38.94 ppb

201

201+

Sulfur Dioxide (SO₂)

0.21 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.42 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

South Pasadena, California

Get Live Pollen Counts

South Pasadena, California

Scroll To Air Quality Map

Track live South Pasadena, California air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-20T23:00:00.000Z	50 \| good	8.8 \| good	35.21 \| good	54.417 \| good	0.277 \| good	4.165 \| good	0.24 \| good
2026-10-21T00:00:00.000Z	44 \| good	8.02 \| good	32.614 \| good	48.453 \| good	0.298 \| good	6.314 \| good	0.226 \| good
2026-10-21T01:00:00.000Z	49 \| good	8.595 \| good	35.661 \| good	45.264 \| good	0.319 \| good	8.481 \| good	0.262 \| good
2026-10-21T02:00:00.000Z	38 \| good	6.684 \| good	30.836 \| good	39.137 \| good	0.381 \| good	9.465 \| good	0.253 \| good
2026-10-21T03:00:00.000Z	33 \| good	5.878 \| good	26.432 \| good	24.792 \| good	1.05 \| good	9.983 \| good	0.151 \| good
2026-10-21T04:00:00.000Z	33 \| good	5.763 \| good	23.25 \| good	31.181 \| good	0.375 \| good	4.445 \| good	0.169 \| good
2026-10-21T05:00:00.000Z	29 \| good	5.344 \| good	25.325 \| good	30.996 \| good	0.695 \| good	4.233 \| good	0.177 \| good
2026-10-21T06:00:00.000Z	33 \| good	5.511 \| good	26.443 \| good	25.343 \| good	0.352 \| good	4.542 \| good	0.213 \| good
2026-10-21T07:00:00.000Z	33 \| good	5.634 \| good	20.878 \| good	25.293 \| good	0.352 \| good	4.567 \| good	0.213 \| good
2026-10-21T08:00:00.000Z	27 \| good	5.316 \| good	27.823 \| good	23.689 \| good	0.343 \| good	5.237 \| good	0.226 \| good
2026-10-21T09:00:00.000Z	27 \| good	4.829 \| good	23.654 \| good	22.178 \| good	0.439 \| good	5.17 \| good	0.163 \| good
2026-10-21T10:00:00.000Z	27 \| good	4.876 \| good	23.174 \| good	17.008 \| good	0.388 \| good	7.096 \| good	0.227 \| good
2026-10-21T11:00:00.000Z	27 \| good	4.987 \| good	20.323 \| good	14.284 \| good	0.397 \| good	7.584 \| good	0.256 \| good
2026-10-21T12:00:00.000Z	27 \| good	5.336 \| good	21.068 \| good	10.939 \| good	0.429 \| good	9.04 \| good	0.262 \| good
2026-10-21T13:00:00.000Z	27 \| good	4.686 \| good	21.439 \| good	11.345 \| good	0.428 \| good	9.121 \| good	0.262 \| good
2026-10-21T14:00:00.000Z	33 \| good	6.413 \| good	25.595 \| good	11.924 \| good	0.431 \| good	14.509 \| good	0.428 \| good
2026-10-21T15:00:00.000Z	27 \| good	5.149 \| good	25.318 \| good	14.448 \| good	0.532 \| good	15.947 \| good	0.47 \| good
2026-10-21T16:00:00.000Z	44 \| good	8.179 \| good	31.844 \| good	17.575 \| good	0.393 \| good	14.676 \| good	0.491 \| good
2026-10-21T17:00:00.000Z	52 \| moderate	10.224 \| good	43.9 \| good	18.611 \| good	0.41 \| good	16.731 \| good	0.353 \| good
2026-10-21T18:00:00.000Z	49 \| good	8.943 \| good	34.506 \| good	23.787 \| good	0.344 \| good	14.109 \| good	0.268 \| good
2026-10-21T19:00:00.000Z	49 \| good	9.335 \| good	28.186 \| good	29.332 \| good	0.566 \| good	8.286 \| good	0.263 \| good
2026-10-21T20:00:00.000Z	49 \| good	8.6 \| good	36.497 \| good	32.571 \| good	0.502 \| good	5.592 \| good	0.207 \| good
2026-10-21T21:00:00.000Z	49 \| good	8.814 \| good	33.162 \| good	33.326 \| good	0.558 \| good	5.715 \| good	0.255 \| good
2026-10-21T22:00:00.000Z	33 \| good	5.657 \| good	16.728 \| good	33.093 \| good	0.487 \| good	8.554 \| good	0.199 \| good
2026-10-21T23:00:00.000Z	27 \| good	5.457 \| good	22.525 \| good	28.972 \| good	0.426 \| good	12.082 \| good	0.271 \| good
2026-10-22T00:00:00.000Z	28 \| good	5.145 \| good	23.959 \| good	29.587 \| good	0.437 \| good	9.491 \| good	0.343 \| good
2026-10-22T01:00:00.000Z	24 \| good	3.933 \| good	13.458 \| good	26.382 \| good	0.41 \| good	9.871 \| good	0.37 \| good
2026-10-22T02:00:00.000Z	27 \| good	5.399 \| good	21.899 \| good	22.272 \| good	0.421 \| good	10.381 \| good	0.356 \| good
2026-10-22T03:00:00.000Z	31 \| good	4.573 \| good	19.956 \| good	33.752 \| good	0.551 \| good	13.062 \| good	0.135 \| good
2026-10-22T04:00:00.000Z	33 \| good	5.521 \| good	20.059 \| good	27.607 \| good	0.351 \| good	5.504 \| good	0.249 \| good
2026-10-22T05:00:00.000Z	27 \| good	4.563 \| good	13.096 \| good	24.528 \| good	0.616 \| good	5.541 \| good	0.227 \| good
2026-10-22T06:00:00.000Z	23 \| good	2.97 \| good	9.405 \| good	25.417 \| good	0.244 \| good	3.919 \| good	0.218 \| good
2026-10-22T07:00:00.000Z	23 \| good	3.687 \| good	15.746 \| good	25.462 \| good	0.244 \| good	3.897 \| good	0.218 \| good
2026-10-22T08:00:00.000Z	21 \| good	3.069 \| good	12.216 \| good	23.254 \| good	0.296 \| good	4.417 \| good	0.184 \| good
2026-10-22T09:00:00.000Z	21 \| good	1.761 \| good	7.562 \| good	22.829 \| good	0.379 \| good	3.181 \| good	0.127 \| good
2026-10-22T10:00:00.000Z	19 \| good	2.137 \| good	9.93 \| good	20.352 \| good	0.295 \| good	3.405 \| good	0.127 \| good
2026-10-22T11:00:00.000Z	18 \| good	1.904 \| good	8.798 \| good	18.891 \| good	0.359 \| good	4.428 \| good	0.229 \| good
2026-10-22T12:00:00.000Z	16 \| good	1.611 \| good	9.163 \| good	16.549 \| good	0.296 \| good	4.856 \| good	0.249 \| good
2026-10-22T13:00:00.000Z	16 \| good	1.796 \| good	9.045 \| good	16.622 \| good	0.296 \| good	4.89 \| good	0.249 \| good
2026-10-22T14:00:00.000Z	13 \| good	1.611 \| good	6.072 \| good	13.997 \| good	0.296 \| good	9.971 \| good	0.444 \| good
2026-10-22T15:00:00.000Z	13 \| good	1.654 \| good	9.062 \| good	12.704 \| good	0.248 \| good	14.1 \| good	0.523 \| good
2026-10-22T16:00:00.000Z	15 \| good	1.664 \| good	8.653 \| good	16.488 \| good	0.36 \| good	14.04 \| good	0.509 \| good
2026-10-22T17:00:00.000Z	22 \| good	4.472 \| good	21.133 \| good	18.74 \| good	0.331 \| good	7.934 \| good	0.32 \| good
2026-10-22T18:00:00.000Z	25 \| good	4.148 \| good	15.025 \| good	27.189 \| good	0.279 \| good	5.855 \| good	0.27 \| good
2026-10-22T19:00:00.000Z	29 \| good	2.317 \| good	9.095 \| good	31.011 \| good	0.216 \| good	6.228 \| good	0.247 \| good
2026-10-22T20:00:00.000Z	34 \| good	2.04 \| good	10.256 \| good	36.528 \| good	0.225 \| good	4.007 \| good	0.194 \| good
2026-10-22T21:00:00.000Z	36 \| good	2.109 \| good	6.268 \| good	38.974 \| good	0.21 \| good	3.283 \| good	0.2 \| good
2026-10-22T22:00:00.000Z	36 \| good	2.112 \| good	5.931 \| good	38.94 \| good	0.21 \| good	3.423 \| good	0.2 \| good
2026-10-22T23:00:00.000Z	35 \| good	2.82 \| good	11.803 \| good	38.073 \| good	0.918 \| good	3.186 \| good	0.141 \| good
2026-10-23T00:00:00.000Z	35 \| good	2.046 \| good	8.378 \| good	37.647 \| good	1.01 \| good	4.127 \| good	0.144 \| good
2026-10-23T01:00:00.000Z	29 \| good	3.234 \| good	14.097 \| good	31.347 \| good	1.087 \| good	6.214 \| good	0.15 \| good
2026-10-23T02:00:00.000Z	26 \| good	2.489 \| good	10.228 \| good	28.447 \| good	1.176 \| good	12.827 \| good	0.172 \| good
2026-10-23T03:00:00.000Z	28 \| good	3.083 \| good	13.172 \| good	30.003 \| good	1.315 \| good	20.247 \| good	0.194 \| good
2026-10-23T04:00:00.000Z	25 \| good	2.391 \| good	10.057 \| good	26.235 \| good	1.461 \| good	26.19 \| good	0.213 \| good
2026-10-23T05:00:00.000Z	26 \| good	3.902 \| good	17.054 \| good	24.663 \| good	1.602 \| good	28.224 \| good	0.23 \| good
2026-10-23T06:00:00.000Z	27 \| good	4.814 \| good	21.007 \| good	22.555 \| good	1.622 \| good	28.381 \| good	0.234 \| good
2026-10-23T07:00:00.000Z	25 \| good	3.628 \| good	16.032 \| good	22.142 \| good	1.561 \| good	26.596 \| good	0.226 \| good
2026-10-23T08:00:00.000Z	21 \| good	3.127 \| good	12.685 \| good	20.937 \| good	1.517 \| good	22.117 \| good	0.211 \| good
2026-10-23T09:00:00.000Z	19 \| good	2.038 \| good	8.377 \| good	19.52 \| good	1.418 \| good	19.181 \| good	0.201 \| good
2026-10-23T10:00:00.000Z	19 \| good	1.627 \| good	6.824 \| good	20.521 \| good	1.311 \| good	15.957 \| good	0.19 \| good
2026-10-23T11:00:00.000Z	19 \| good	1.935 \| good	8.045 \| good	19.847 \| good	1.193 \| good	15 \| good	0.187 \| good
2026-10-23T12:00:00.000Z	16 \| good	2.754 \| good	11.545 \| good	8.549 \| good	1.14 \| good	14.483 \| good	0.184 \| good
2026-10-23T13:00:00.000Z	11 \| good	2.032 \| good	8.661 \| good	11.863 \| good	1.103 \| good	12.284 \| good	0.175 \| good
2026-10-23T14:00:00.000Z	16 \| good	3.006 \| good	13.097 \| good	11.493 \| good	1.103 \| good	14.121 \| good	0.18 \| good
2026-10-23T15:00:00.000Z	18 \| good	3.336 \| good	14.654 \| good	18.797 \| good	1.116 \| good	13.915 \| good	0.194 \| good
2026-10-23T16:00:00.000Z	21 \| good	3.286 \| good	14.282 \| good	22.92 \| good	1.111 \| good	6.93 \| good	0.157 \| good
2026-10-23T17:00:00.000Z	23 \| good	2.701 \| good	11.148 \| good	25.167 \| good	1.145 \| good	4.994 \| good	0.146 \| good
2026-10-23T18:00:00.000Z	25 \| good	1.419 \| good	5.565 \| good	26.763 \| good	1.214 \| good	4.652 \| good	0.142 \| good
2026-10-23T19:00:00.000Z	30 \| good	1.909 \| good	7.994 \| good	31.86 \| good	1.284 \| good	4.482 \| good	0.141 \| good
2026-10-23T20:00:00.000Z	35 \| good	2.759 \| good	11.653 \| good	37.653 \| good	1.281 \| good	3.897 \| good	0.138 \| good
2026-10-23T21:00:00.000Z	40 \| good	5.466 \| good	23.552 \| good	43.334 \| good	1.233 \| good	3.677 \| good	0.136 \| good
2026-10-23T22:00:00.000Z	42 \| good	5.207 \| good	22.574 \| good	45.375 \| good	1.215 \| good	3.53 \| good	0.135 \| good
2026-10-23T23:00:00.000Z	44 \| good	6.554 \| good	29.213 \| good	47.048 \| good	1.258 \| good	3.95 \| good	0.136 \| good
2026-10-24T00:00:00.000Z	49 \| good	8.615 \| good	37.786 \| good	44.649 \| good	1.318 \| good	4.897 \| good	0.139 \| good
2026-10-24T01:00:00.000Z	49 \| good	9.498 \| good	42.206 \| good	38.8 \| good	1.333 \| good	7.792 \| good	0.147 \| good
2026-10-24T02:00:00.000Z	44 \| good	8.335 \| good	36.757 \| good	35.017 \| good	1.363 \| good	15.319 \| good	0.172 \| good
2026-10-24T03:00:00.000Z	52 \| moderate	9.586 \| good	42.372 \| good	33.338 \| good	1.375 \| good	21.66 \| good	0.19 \| good
2026-10-24T04:00:00.000Z	52 \| moderate	10.329 \| good	45.772 \| good	27.347 \| good	1.418 \| good	26.316 \| good	0.206 \| good
2026-10-24T05:00:00.000Z	54 \| moderate	11.032 \| good	48.668 \| good	21.617 \| good	1.47 \| good	27.311 \| good	0.22 \| good
2026-10-24T06:00:00.000Z	52 \| moderate	10.119 \| good	44.683 \| good	12.968 \| good	1.51 \| good	27.813 \| good	0.228 \| good
2026-10-24T07:00:00.000Z	44 \| good	8.288 \| good	36.458 \| good	11.557 \| good	1.485 \| good	27.223 \| good	0.236 \| good
2026-10-24T08:00:00.000Z	44 \| good	7.727 \| good	33.841 \| good	12.813 \| good	1.364 \| good	26.012 \| good	0.236 \| good
2026-10-24T09:00:00.000Z	44 \| good	8.226 \| good	36.308 \| good	10.602 \| good	1.244 \| good	24.696 \| good	0.233 \| good
2026-10-24T10:00:00.000Z	44 \| good	8.326 \| good	36.77 \| good	5.313 \| good	1.113 \| good	23.297 \| good	0.232 \| good
2026-10-24T11:00:00.000Z	44 \| good	7.831 \| good	34.476 \| good	4.968 \| good	0.988 \| good	21.94 \| good	0.23 \| good
2026-10-24T12:00:00.000Z	38 \| good	7.468 \| good	33.125 \| good	5.709 \| good	0.88 \| good	20.708 \| good	0.228 \| good
2026-10-24T13:00:00.000Z	49 \| good	8.781 \| good	38.432 \| good	8.737 \| good	0.797 \| good	19.678 \| good	0.227 \| good
2026-10-24T14:00:00.000Z	49 \| good	8.76 \| good	38.581 \| good	9.957 \| good	0.781 \| good	19.103 \| good	0.233 \| good
2026-10-24T15:00:00.000Z	58 \| moderate	12.565 \| fine	55.763 \| fine	12.581 \| good	0.79 \| good	16.37 \| good	0.247 \| good
2026-10-24T16:00:00.000Z	54 \| moderate	11.145 \| good	49.56 \| good	18.158 \| good	0.825 \| good	13.738 \| good	0.249 \| good
2026-10-24T17:00:00.000Z	38 \| good	7.488 \| good	33.072 \| good	28.054 \| good	1.102 \| good	10.824 \| good	0.189 \| good
2026-10-24T18:00:00.000Z	33 \| good	5.827 \| good	25.335 \| good	33.164 \| good	1.629 \| good	7.656 \| good	0.162 \| good
2026-10-24T19:00:00.000Z	38 \| good	6.524 \| good	28.98 \| good	39.198 \| good	1.765 \| good	6.445 \| good	0.154 \| good
2026-10-24T20:00:00.000Z	42 \| good	7.009 \| good	31.116 \| good	44.543 \| good	1.806 \| good	5.932 \| good	0.151 \| good
2026-10-24T21:00:00.000Z	47 \| good	8.151 \| good	35.662 \| good	50.662 \| good	1.855 \| good	5.753 \| good	0.151 \| good
2026-10-24T22:00:00.000Z	49 \| good	7.91 \| good	34.741 \| good	53.42 \| good	1.925 \| good	5.834 \| good	0.151 \| good

South Pasadena

Empower business decisions with accurate air quality data

South Pasadena, California air quality map: Real-time AQI near you

0.20ppm

How accurate is California, USA air quality data?

Air quality measurements for California, 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 South Pasadena, California updated?

Air quality data for South Pasadena, California is updated on an hourly basis.

When did South Pasadena, California experience the worst air quality in the last 24 hours?

The worst air quality in South Pasadena, California was recorded at 09:00:00 on 2026-10-22.

When did South Pasadena, California have its best air quality in the last 24 hours?

The best air quality in South Pasadena, California was recorded at 03:00:00 on 2026-10-22.

What is the real-time air quality index for South Pasadena, California?

The real-time air quality index in South Pasadena, California is 36, currently categorized as Good.

Which pollutant is found most often in South Pasadena, California?

The most common pollutant in South Pasadena, California is O3.

What can I do if the air quality in South Pasadena, California is poor?

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

What are the current PM_2.5 levels in South Pasadena, California?

The measured PM_2.5 levels in South Pasadena, California at present are 2.112 μg/m³.

What are the current PM₁₀ levels at South Pasadena, California?

The current PM₁₀ levels in South Pasadena, California are 5.931 μg/m³.

What are the current carbon monoxide (CO) levels at South Pasadena, California?

The current carbon monoxide (CO) level in South Pasadena, California is 0.2 ppm.

What are the current sulfur dioxide (SO₂) levels at South Pasadena, California?

The current sulfur dioxide (SO₂) levels in South Pasadena, California are 0.21 ppb.

What are the current ozone (O₃) levels at South Pasadena, California?

The current ozone (O₃) levels at South Pasadena, California is 38.94 ppm.

What are the current nitrogen dioxide (NO₂) levels at South Pasadena, California?

The current nitrogen dioxide (NO₂) levels at South Pasadena, California is 3.423 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-20T23:00:00.000Z	50 \| good	8.8 \| good	35.21 \| good	54.417 \| good	0.277 \| good	4.165 \| good	0.24 \| good
2026-10-21T00:00:00.000Z	44 \| good	8.02 \| good	32.614 \| good	48.453 \| good	0.298 \| good	6.314 \| good	0.226 \| good
2026-10-21T01:00:00.000Z	49 \| good	8.595 \| good	35.661 \| good	45.264 \| good	0.319 \| good	8.481 \| good	0.262 \| good
2026-10-21T02:00:00.000Z	38 \| good	6.684 \| good	30.836 \| good	39.137 \| good	0.381 \| good	9.465 \| good	0.253 \| good
2026-10-21T03:00:00.000Z	33 \| good	5.878 \| good	26.432 \| good	24.792 \| good	1.05 \| good	9.983 \| good	0.151 \| good
2026-10-21T04:00:00.000Z	33 \| good	5.763 \| good	23.25 \| good	31.181 \| good	0.375 \| good	4.445 \| good	0.169 \| good
2026-10-21T05:00:00.000Z	29 \| good	5.344 \| good	25.325 \| good	30.996 \| good	0.695 \| good	4.233 \| good	0.177 \| good
2026-10-21T06:00:00.000Z	33 \| good	5.511 \| good	26.443 \| good	25.343 \| good	0.352 \| good	4.542 \| good	0.213 \| good
2026-10-21T07:00:00.000Z	33 \| good	5.634 \| good	20.878 \| good	25.293 \| good	0.352 \| good	4.567 \| good	0.213 \| good
2026-10-21T08:00:00.000Z	27 \| good	5.316 \| good	27.823 \| good	23.689 \| good	0.343 \| good	5.237 \| good	0.226 \| good
2026-10-21T09:00:00.000Z	27 \| good	4.829 \| good	23.654 \| good	22.178 \| good	0.439 \| good	5.17 \| good	0.163 \| good
2026-10-21T10:00:00.000Z	27 \| good	4.876 \| good	23.174 \| good	17.008 \| good	0.388 \| good	7.096 \| good	0.227 \| good
2026-10-21T11:00:00.000Z	27 \| good	4.987 \| good	20.323 \| good	14.284 \| good	0.397 \| good	7.584 \| good	0.256 \| good
2026-10-21T12:00:00.000Z	27 \| good	5.336 \| good	21.068 \| good	10.939 \| good	0.429 \| good	9.04 \| good	0.262 \| good
2026-10-21T13:00:00.000Z	27 \| good	4.686 \| good	21.439 \| good	11.345 \| good	0.428 \| good	9.121 \| good	0.262 \| good
2026-10-21T14:00:00.000Z	33 \| good	6.413 \| good	25.595 \| good	11.924 \| good	0.431 \| good	14.509 \| good	0.428 \| good
2026-10-21T15:00:00.000Z	27 \| good	5.149 \| good	25.318 \| good	14.448 \| good	0.532 \| good	15.947 \| good	0.47 \| good
2026-10-21T16:00:00.000Z	44 \| good	8.179 \| good	31.844 \| good	17.575 \| good	0.393 \| good	14.676 \| good	0.491 \| good
2026-10-21T17:00:00.000Z	52 \| moderate	10.224 \| good	43.9 \| good	18.611 \| good	0.41 \| good	16.731 \| good	0.353 \| good
2026-10-21T18:00:00.000Z	49 \| good	8.943 \| good	34.506 \| good	23.787 \| good	0.344 \| good	14.109 \| good	0.268 \| good
2026-10-21T19:00:00.000Z	49 \| good	9.335 \| good	28.186 \| good	29.332 \| good	0.566 \| good	8.286 \| good	0.263 \| good
2026-10-21T20:00:00.000Z	49 \| good	8.6 \| good	36.497 \| good	32.571 \| good	0.502 \| good	5.592 \| good	0.207 \| good
2026-10-21T21:00:00.000Z	49 \| good	8.814 \| good	33.162 \| good	33.326 \| good	0.558 \| good	5.715 \| good	0.255 \| good
2026-10-21T22:00:00.000Z	33 \| good	5.657 \| good	16.728 \| good	33.093 \| good	0.487 \| good	8.554 \| good	0.199 \| good
2026-10-21T23:00:00.000Z	27 \| good	5.457 \| good	22.525 \| good	28.972 \| good	0.426 \| good	12.082 \| good	0.271 \| good
2026-10-22T00:00:00.000Z	28 \| good	5.145 \| good	23.959 \| good	29.587 \| good	0.437 \| good	9.491 \| good	0.343 \| good
2026-10-22T01:00:00.000Z	24 \| good	3.933 \| good	13.458 \| good	26.382 \| good	0.41 \| good	9.871 \| good	0.37 \| good
2026-10-22T02:00:00.000Z	27 \| good	5.399 \| good	21.899 \| good	22.272 \| good	0.421 \| good	10.381 \| good	0.356 \| good
2026-10-22T03:00:00.000Z	31 \| good	4.573 \| good	19.956 \| good	33.752 \| good	0.551 \| good	13.062 \| good	0.135 \| good
2026-10-22T04:00:00.000Z	33 \| good	5.521 \| good	20.059 \| good	27.607 \| good	0.351 \| good	5.504 \| good	0.249 \| good
2026-10-22T05:00:00.000Z	27 \| good	4.563 \| good	13.096 \| good	24.528 \| good	0.616 \| good	5.541 \| good	0.227 \| good
2026-10-22T06:00:00.000Z	23 \| good	2.97 \| good	9.405 \| good	25.417 \| good	0.244 \| good	3.919 \| good	0.218 \| good
2026-10-22T07:00:00.000Z	23 \| good	3.687 \| good	15.746 \| good	25.462 \| good	0.244 \| good	3.897 \| good	0.218 \| good
2026-10-22T08:00:00.000Z	21 \| good	3.069 \| good	12.216 \| good	23.254 \| good	0.296 \| good	4.417 \| good	0.184 \| good
2026-10-22T09:00:00.000Z	21 \| good	1.761 \| good	7.562 \| good	22.829 \| good	0.379 \| good	3.181 \| good	0.127 \| good
2026-10-22T10:00:00.000Z	19 \| good	2.137 \| good	9.93 \| good	20.352 \| good	0.295 \| good	3.405 \| good	0.127 \| good
2026-10-22T11:00:00.000Z	18 \| good	1.904 \| good	8.798 \| good	18.891 \| good	0.359 \| good	4.428 \| good	0.229 \| good
2026-10-22T12:00:00.000Z	16 \| good	1.611 \| good	9.163 \| good	16.549 \| good	0.296 \| good	4.856 \| good	0.249 \| good
2026-10-22T13:00:00.000Z	16 \| good	1.796 \| good	9.045 \| good	16.622 \| good	0.296 \| good	4.89 \| good	0.249 \| good
2026-10-22T14:00:00.000Z	13 \| good	1.611 \| good	6.072 \| good	13.997 \| good	0.296 \| good	9.971 \| good	0.444 \| good
2026-10-22T15:00:00.000Z	13 \| good	1.654 \| good	9.062 \| good	12.704 \| good	0.248 \| good	14.1 \| good	0.523 \| good
2026-10-22T16:00:00.000Z	15 \| good	1.664 \| good	8.653 \| good	16.488 \| good	0.36 \| good	14.04 \| good	0.509 \| good
2026-10-22T17:00:00.000Z	22 \| good	4.472 \| good	21.133 \| good	18.74 \| good	0.331 \| good	7.934 \| good	0.32 \| good
2026-10-22T18:00:00.000Z	25 \| good	4.148 \| good	15.025 \| good	27.189 \| good	0.279 \| good	5.855 \| good	0.27 \| good
2026-10-22T19:00:00.000Z	29 \| good	2.317 \| good	9.095 \| good	31.011 \| good	0.216 \| good	6.228 \| good	0.247 \| good
2026-10-22T20:00:00.000Z	34 \| good	2.04 \| good	10.256 \| good	36.528 \| good	0.225 \| good	4.007 \| good	0.194 \| good
2026-10-22T21:00:00.000Z	36 \| good	2.109 \| good	6.268 \| good	38.974 \| good	0.21 \| good	3.283 \| good	0.2 \| good
2026-10-22T22:00:00.000Z	36 \| good	2.112 \| good	5.931 \| good	38.94 \| good	0.21 \| good	3.423 \| good	0.2 \| good
2026-10-22T23:00:00.000Z	35 \| good	2.82 \| good	11.803 \| good	38.073 \| good	0.918 \| good	3.186 \| good	0.141 \| good
2026-10-23T00:00:00.000Z	35 \| good	2.046 \| good	8.378 \| good	37.647 \| good	1.01 \| good	4.127 \| good	0.144 \| good
2026-10-23T01:00:00.000Z	29 \| good	3.234 \| good	14.097 \| good	31.347 \| good	1.087 \| good	6.214 \| good	0.15 \| good
2026-10-23T02:00:00.000Z	26 \| good	2.489 \| good	10.228 \| good	28.447 \| good	1.176 \| good	12.827 \| good	0.172 \| good
2026-10-23T03:00:00.000Z	28 \| good	3.083 \| good	13.172 \| good	30.003 \| good	1.315 \| good	20.247 \| good	0.194 \| good
2026-10-23T04:00:00.000Z	25 \| good	2.391 \| good	10.057 \| good	26.235 \| good	1.461 \| good	26.19 \| good	0.213 \| good
2026-10-23T05:00:00.000Z	26 \| good	3.902 \| good	17.054 \| good	24.663 \| good	1.602 \| good	28.224 \| good	0.23 \| good
2026-10-23T06:00:00.000Z	27 \| good	4.814 \| good	21.007 \| good	22.555 \| good	1.622 \| good	28.381 \| good	0.234 \| good
2026-10-23T07:00:00.000Z	25 \| good	3.628 \| good	16.032 \| good	22.142 \| good	1.561 \| good	26.596 \| good	0.226 \| good
2026-10-23T08:00:00.000Z	21 \| good	3.127 \| good	12.685 \| good	20.937 \| good	1.517 \| good	22.117 \| good	0.211 \| good
2026-10-23T09:00:00.000Z	19 \| good	2.038 \| good	8.377 \| good	19.52 \| good	1.418 \| good	19.181 \| good	0.201 \| good
2026-10-23T10:00:00.000Z	19 \| good	1.627 \| good	6.824 \| good	20.521 \| good	1.311 \| good	15.957 \| good	0.19 \| good
2026-10-23T11:00:00.000Z	19 \| good	1.935 \| good	8.045 \| good	19.847 \| good	1.193 \| good	15 \| good	0.187 \| good
2026-10-23T12:00:00.000Z	16 \| good	2.754 \| good	11.545 \| good	8.549 \| good	1.14 \| good	14.483 \| good	0.184 \| good
2026-10-23T13:00:00.000Z	11 \| good	2.032 \| good	8.661 \| good	11.863 \| good	1.103 \| good	12.284 \| good	0.175 \| good
2026-10-23T14:00:00.000Z	16 \| good	3.006 \| good	13.097 \| good	11.493 \| good	1.103 \| good	14.121 \| good	0.18 \| good
2026-10-23T15:00:00.000Z	18 \| good	3.336 \| good	14.654 \| good	18.797 \| good	1.116 \| good	13.915 \| good	0.194 \| good
2026-10-23T16:00:00.000Z	21 \| good	3.286 \| good	14.282 \| good	22.92 \| good	1.111 \| good	6.93 \| good	0.157 \| good
2026-10-23T17:00:00.000Z	23 \| good	2.701 \| good	11.148 \| good	25.167 \| good	1.145 \| good	4.994 \| good	0.146 \| good
2026-10-23T18:00:00.000Z	25 \| good	1.419 \| good	5.565 \| good	26.763 \| good	1.214 \| good	4.652 \| good	0.142 \| good
2026-10-23T19:00:00.000Z	30 \| good	1.909 \| good	7.994 \| good	31.86 \| good	1.284 \| good	4.482 \| good	0.141 \| good
2026-10-23T20:00:00.000Z	35 \| good	2.759 \| good	11.653 \| good	37.653 \| good	1.281 \| good	3.897 \| good	0.138 \| good
2026-10-23T21:00:00.000Z	40 \| good	5.466 \| good	23.552 \| good	43.334 \| good	1.233 \| good	3.677 \| good	0.136 \| good
2026-10-23T22:00:00.000Z	42 \| good	5.207 \| good	22.574 \| good	45.375 \| good	1.215 \| good	3.53 \| good	0.135 \| good
2026-10-23T23:00:00.000Z	44 \| good	6.554 \| good	29.213 \| good	47.048 \| good	1.258 \| good	3.95 \| good	0.136 \| good
2026-10-24T00:00:00.000Z	49 \| good	8.615 \| good	37.786 \| good	44.649 \| good	1.318 \| good	4.897 \| good	0.139 \| good
2026-10-24T01:00:00.000Z	49 \| good	9.498 \| good	42.206 \| good	38.8 \| good	1.333 \| good	7.792 \| good	0.147 \| good
2026-10-24T02:00:00.000Z	44 \| good	8.335 \| good	36.757 \| good	35.017 \| good	1.363 \| good	15.319 \| good	0.172 \| good
2026-10-24T03:00:00.000Z	52 \| moderate	9.586 \| good	42.372 \| good	33.338 \| good	1.375 \| good	21.66 \| good	0.19 \| good
2026-10-24T04:00:00.000Z	52 \| moderate	10.329 \| good	45.772 \| good	27.347 \| good	1.418 \| good	26.316 \| good	0.206 \| good
2026-10-24T05:00:00.000Z	54 \| moderate	11.032 \| good	48.668 \| good	21.617 \| good	1.47 \| good	27.311 \| good	0.22 \| good
2026-10-24T06:00:00.000Z	52 \| moderate	10.119 \| good	44.683 \| good	12.968 \| good	1.51 \| good	27.813 \| good	0.228 \| good
2026-10-24T07:00:00.000Z	44 \| good	8.288 \| good	36.458 \| good	11.557 \| good	1.485 \| good	27.223 \| good	0.236 \| good
2026-10-24T08:00:00.000Z	44 \| good	7.727 \| good	33.841 \| good	12.813 \| good	1.364 \| good	26.012 \| good	0.236 \| good
2026-10-24T09:00:00.000Z	44 \| good	8.226 \| good	36.308 \| good	10.602 \| good	1.244 \| good	24.696 \| good	0.233 \| good
2026-10-24T10:00:00.000Z	44 \| good	8.326 \| good	36.77 \| good	5.313 \| good	1.113 \| good	23.297 \| good	0.232 \| good
2026-10-24T11:00:00.000Z	44 \| good	7.831 \| good	34.476 \| good	4.968 \| good	0.988 \| good	21.94 \| good	0.23 \| good
2026-10-24T12:00:00.000Z	38 \| good	7.468 \| good	33.125 \| good	5.709 \| good	0.88 \| good	20.708 \| good	0.228 \| good
2026-10-24T13:00:00.000Z	49 \| good	8.781 \| good	38.432 \| good	8.737 \| good	0.797 \| good	19.678 \| good	0.227 \| good
2026-10-24T14:00:00.000Z	49 \| good	8.76 \| good	38.581 \| good	9.957 \| good	0.781 \| good	19.103 \| good	0.233 \| good
2026-10-24T15:00:00.000Z	58 \| moderate	12.565 \| fine	55.763 \| fine	12.581 \| good	0.79 \| good	16.37 \| good	0.247 \| good
2026-10-24T16:00:00.000Z	54 \| moderate	11.145 \| good	49.56 \| good	18.158 \| good	0.825 \| good	13.738 \| good	0.249 \| good
2026-10-24T17:00:00.000Z	38 \| good	7.488 \| good	33.072 \| good	28.054 \| good	1.102 \| good	10.824 \| good	0.189 \| good
2026-10-24T18:00:00.000Z	33 \| good	5.827 \| good	25.335 \| good	33.164 \| good	1.629 \| good	7.656 \| good	0.162 \| good
2026-10-24T19:00:00.000Z	38 \| good	6.524 \| good	28.98 \| good	39.198 \| good	1.765 \| good	6.445 \| good	0.154 \| good
2026-10-24T20:00:00.000Z	42 \| good	7.009 \| good	31.116 \| good	44.543 \| good	1.806 \| good	5.932 \| good	0.151 \| good
2026-10-24T21:00:00.000Z	47 \| good	8.151 \| good	35.662 \| good	50.662 \| good	1.855 \| good	5.753 \| good	0.151 \| good
2026-10-24T22:00:00.000Z	49 \| good	7.91 \| good	34.741 \| good	53.42 \| good	1.925 \| good	5.834 \| good	0.151 \| good

Real-time air quality index in South Pasadena, California today

Common air pollutants in South Pasadena, California

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Pasadena, California air quality forecast and history

Empower business decisions with accurate air quality data

South Pasadena, California air quality map: Real-time AQI near you

Air quality in nearby cities

Alhambra, California

Pasadena, California

San Marino, California

San Gabriel, California

Monterey Park, California

East San Gabriel, California

How accurate is California, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for South Pasadena, California updated?

When did South Pasadena, California experience the worst air quality in the last 24 hours?

When did South Pasadena, California have its best air quality in the last 24 hours?

What is the real-time air quality index for South Pasadena, California?

Which pollutant is found most often in South Pasadena, California?

What can I do if the air quality in South Pasadena, California is poor?

What are the current PM2.5 levels in South Pasadena, California?

What are the current PM10 levels at South Pasadena, California?

What are the current carbon monoxide (CO) levels at South Pasadena, California?

What are the current sulfur dioxide (SO2) levels at South Pasadena, California?

What are the current ozone (O3) levels at South Pasadena, California?

What are the current nitrogen dioxide (NO2) levels at South Pasadena, California?

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 South Pasadena, California?

What are the current PM₁₀ levels at South Pasadena, California?

What are the current sulfur dioxide (SO₂) levels at South Pasadena, California?

What are the current ozone (O₃) levels at South Pasadena, California?

What are the current nitrogen dioxide (NO₂) levels at South Pasadena, California?