What is the current level of PM10 in South San Francisco, California?

South San Francisco, California currently has a PM10 concentration of 20.586 μg/m3.

What is the current level of sulfur dioxide (SO2) in South San Francisco, California?

The current sulfur dioxide (SO2) concentration in South San Francisco, California is 0.707 ppb.

What is the current level of ozone (O3) in South San Francisco, California?

South San Francisco, California currently has an ozone (O3) concentration of 17.085 ppm.

What is the current level of nitrogen dioxide (NO2) in South San Francisco, California?

The current level of nitrogen dioxide (NO2) in South San Francisco, California is 4.469 ppb.

Current air quality index in South San Francisco, California today

Name: Live air pollution levels in South San Francisco, California today
Creator: Ambee

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

Last updated: ... (Local time)

Common air pollutants in South San Francisco, California

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.17 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

26.68 μg/m³

155

255

425

605+

Ozone (O₃)

18.30 ppb

201

201+

Sulfur Dioxide (SO₂)

0.65 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.99 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.35 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

South San Francisco, California

Get Live Pollen Counts

South San Francisco, California

Scroll To Air Quality Map

Track live South San Francisco, California air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-28T23:00:00.000Z	33 \| good	6.462 \| good	22.185 \| good	21.91 \| good	0.468 \| good	3.135 \| good	0.318 \| good
2025-07-29T00:00:00.000Z	38 \| good	6.605 \| good	24.594 \| good	22.961 \| good	0.501 \| good	2.87 \| good	0.318 \| good
2025-07-29T01:00:00.000Z	33 \| good	6.043 \| good	29.402 \| good	24.811 \| good	0.505 \| good	3.543 \| good	0.318 \| good
2025-07-29T02:00:00.000Z	33 \| good	5.769 \| good	24.73 \| good	25.23 \| good	0.482 \| good	3.427 \| good	0.302 \| good
2025-07-29T03:00:00.000Z	38 \| good	7.382 \| good	33.981 \| good	28.243 \| good	0.459 \| good	4.219 \| good	0.302 \| good
2025-07-29T04:00:00.000Z	27 \| good	5.265 \| good	26.955 \| good	26.633 \| good	0.718 \| good	2.792 \| good	0.318 \| good
2025-07-29T05:00:00.000Z	27 \| good	5.472 \| good	19.312 \| good	26.47 \| good	0.706 \| good	3.158 \| good	0.359 \| good
2025-07-29T06:00:00.000Z	26 \| good	4.251 \| good	12.45 \| good	27.64 \| good	0.695 \| good	2.586 \| good	0.359 \| good
2025-07-29T07:00:00.000Z	38 \| good	6.56 \| good	16.747 \| good	24.526 \| good	0.709 \| good	1.966 \| good	0.318 \| good
2025-07-29T08:00:00.000Z	27 \| good	4.959 \| good	16.188 \| good	21.795 \| good	0.707 \| good	1.863 \| good	0.318 \| good
2025-07-29T09:00:00.000Z	22 \| good	4.33 \| good	12.808 \| good	18.514 \| good	0.713 \| good	1.328 \| good	0.302 \| good
2025-07-29T10:00:00.000Z	22 \| good	4.394 \| good	14.527 \| good	17.52 \| good	0.644 \| good	1.351 \| good	0.281 \| good
2025-07-29T11:00:00.000Z	27 \| good	4.616 \| good	8.906 \| good	20.451 \| good	0.638 \| good	1.363 \| good	0.281 \| good
2025-07-29T12:00:00.000Z	22 \| good	4.308 \| good	19.716 \| good	20.19 \| good	0.639 \| good	1.528 \| good	0.281 \| good
2025-07-29T13:00:00.000Z	27 \| good	5.411 \| good	21.749 \| good	18.423 \| good	0.539 \| good	2.898 \| good	0.318 \| good
2025-07-29T14:00:00.000Z	22 \| good	3.538 \| good	12.767 \| good	18.022 \| good	0.267 \| good	4.718 \| good	0.339 \| good
2025-07-29T15:00:00.000Z	27 \| good	5.257 \| good	21.082 \| good	12.536 \| good	0.497 \| good	4.24 \| good	0.372 \| good
2025-07-29T16:00:00.000Z	27 \| good	5.062 \| good	26.324 \| good	13.066 \| good	0.281 \| good	4.595 \| good	0.333 \| good
2025-07-29T17:00:00.000Z	33 \| good	6.203 \| good	33.218 \| good	15.317 \| good	0.295 \| good	3.979 \| good	0.355 \| good
2025-07-29T18:00:00.000Z	33 \| good	5.725 \| good	29.639 \| good	14.38 \| good	0.29 \| good	3.999 \| good	0.355 \| good
2025-07-29T19:00:00.000Z	27 \| good	5.392 \| good	22.89 \| good	13.255 \| good	0.57 \| good	3.908 \| good	0.355 \| good
2025-07-29T20:00:00.000Z	27 \| good	5.281 \| good	23.914 \| good	15.48 \| good	0.31 \| good	4.204 \| good	0.339 \| good
2025-07-29T21:00:00.000Z	38 \| good	6.638 \| good	28.279 \| good	18.19 \| good	0.26 \| good	3.289 \| good	0.339 \| good
2025-07-29T22:00:00.000Z	33 \| good	6.108 \| good	28.903 \| good	19.238 \| good	0.521 \| good	3.003 \| good	0.339 \| good
2025-07-29T23:00:00.000Z	44 \| good	7.558 \| good	35.049 \| good	18.004 \| good	0.52 \| good	2.986 \| good	0.339 \| good
2025-07-30T00:00:00.000Z	38 \| good	6.628 \| good	22.132 \| good	17.607 \| good	0.556 \| good	2.796 \| good	0.318 \| good
2025-07-30T01:00:00.000Z	33 \| good	5.882 \| good	31.422 \| good	18.014 \| good	2.417 \| good	2.891 \| good	0.318 \| good
2025-07-30T02:00:00.000Z	28 \| good	4.92 \| good	29.663 \| good	21.551 \| good	11.638 \| good	2.929 \| good	0.302 \| good
2025-07-30T03:00:00.000Z	22 \| good	3.652 \| good	16.114 \| good	17.499 \| good	0.359 \| good	3.642 \| good	0.098 \| good
2025-07-30T04:00:00.000Z	23 \| good	3.881 \| good	14.324 \| good	25.067 \| good	2.333 \| good	2.438 \| good	0.318 \| good
2025-07-30T05:00:00.000Z	33 \| good	5.827 \| good	29.731 \| good	21.997 \| good	1.446 \| good	2.28 \| good	0.318 \| good
2025-07-30T06:00:00.000Z	27 \| good	4.592 \| good	15.671 \| good	18.129 \| good	0.75 \| good	1.381 \| good	0.339 \| good
2025-07-30T07:00:00.000Z	27 \| good	5.449 \| good	18.766 \| good	17.925 \| good	0.724 \| good	1.264 \| good	0.339 \| good
2025-07-30T08:00:00.000Z	27 \| good	4.91 \| good	15.451 \| good	18.738 \| good	0.626 \| good	1.18 \| good	0.339 \| good
2025-07-30T09:00:00.000Z	27 \| good	4.62 \| good	19.968 \| good	18.108 \| good	0.58 \| good	0.929 \| good	0.303 \| good
2025-07-30T10:00:00.000Z	22 \| good	4.389 \| good	17.402 \| good	18.923 \| good	0.652 \| good	1.065 \| good	0.287 \| good
2025-07-30T11:00:00.000Z	22 \| good	3.906 \| good	17.098 \| good	18.613 \| good	0.684 \| good	0.98 \| good	0.287 \| good
2025-07-30T12:00:00.000Z	22 \| good	4.387 \| good	19.616 \| good	18.482 \| good	0.678 \| good	1.073 \| good	0.287 \| good
2025-07-30T13:00:00.000Z	22 \| good	4.168 \| good	17.408 \| good	18.213 \| good	0.634 \| good	2.366 \| good	0.318 \| good
2025-07-30T14:00:00.000Z	22 \| good	3.521 \| good	15.126 \| good	18.183 \| good	0.396 \| good	3.018 \| good	0.318 \| good
2025-07-30T15:00:00.000Z	22 \| good	3.955 \| good	18.826 \| good	16.658 \| good	0.701 \| good	3.044 \| good	0.339 \| good
2025-07-30T16:00:00.000Z	16 \| good	3.335 \| good	11.688 \| good	17.37 \| good	0.676 \| good	3.098 \| good	0.318 \| good
2025-07-30T17:00:00.000Z	22 \| good	4.415 \| good	20.586 \| good	17.085 \| good	0.707 \| good	4.469 \| good	0.318 \| good
2025-07-30T18:00:00.000Z	27 \| good	4.774 \| good	20.488 \| good	17.936 \| good	0.659 \| good	4.355 \| good	0.318 \| good
2025-07-30T19:00:00.000Z	27 \| good	5.221 \| good	23.8 \| good	15.1 \| good	0.441 \| good	3.852 \| good	0.318 \| good
2025-07-30T20:00:00.000Z	33 \| good	5.959 \| good	33.352 \| good	16.861 \| good	0.458 \| good	3.748 \| good	0.318 \| good
2025-07-30T21:00:00.000Z	27 \| good	5.169 \| good	26.675 \| good	18.302 \| good	0.654 \| good	2.986 \| good	0.355 \| good
2025-07-30T22:00:00.000Z	27 \| good	5.169 \| good	26.675 \| good	18.302 \| good	0.654 \| good	2.986 \| good	0.355 \| good
2025-07-30T18:00:00.000Z	19 \| good	3.334 \| good	14.564 \| good	21.201 \| good	0.466 \| good	1.654 \| good	0.085 \| good
2025-07-30T19:00:00.000Z	22 \| good	4.238 \| good	18.414 \| good	20.661 \| good	0.502 \| good	1.63 \| good	0.084 \| good
2025-07-30T20:00:00.000Z	33 \| good	5.713 \| good	24.758 \| good	19.834 \| good	0.538 \| good	1.605 \| good	0.084 \| good
2025-07-30T21:00:00.000Z	33 \| good	6.419 \| good	28.605 \| good	20.344 \| good	0.574 \| good	1.58 \| good	0.083 \| good
2025-07-30T22:00:00.000Z	27 \| good	4.754 \| good	20.879 \| good	19.694 \| good	0.542 \| good	1.805 \| good	0.083 \| good
2025-07-30T23:00:00.000Z	22 \| good	4.321 \| good	18.879 \| good	18.611 \| good	0.511 \| good	2.031 \| good	0.082 \| good
2025-07-31T00:00:00.000Z	22 \| good	4.323 \| good	18.868 \| good	18.04 \| good	0.479 \| good	2.256 \| good	0.082 \| good
2025-07-31T01:00:00.000Z	22 \| good	3.622 \| good	16.007 \| good	18.255 \| good	0.455 \| good	2.865 \| good	0.081 \| good
2025-07-31T02:00:00.000Z	17 \| good	2.497 \| good	10.148 \| good	18.104 \| good	0.43 \| good	3.475 \| good	0.08 \| good
2025-07-31T03:00:00.000Z	17 \| good	2.415 \| good	9.959 \| good	18.373 \| good	0.406 \| good	4.084 \| good	0.08 \| good
2025-07-31T04:00:00.000Z	17 \| good	1.317 \| good	5.065 \| good	17.913 \| good	0.41 \| good	3.985 \| good	0.077 \| good
2025-07-31T05:00:00.000Z	18 \| good	2.22 \| good	9 \| good	18.598 \| good	0.413 \| good	3.886 \| good	0.074 \| good
2025-07-31T06:00:00.000Z	17 \| good	2.377 \| good	9.925 \| good	18.475 \| good	0.417 \| good	3.787 \| good	0.071 \| good
2025-07-31T07:00:00.000Z	18 \| good	2.742 \| good	11.363 \| good	18.836 \| good	0.419 \| good	3.574 \| good	0.07 \| good
2025-07-31T08:00:00.000Z	18 \| good	3.304 \| good	14.312 \| good	18.976 \| good	0.422 \| good	3.361 \| good	0.07 \| good
2025-07-31T09:00:00.000Z	22 \| good	3.992 \| good	17.415 \| good	17.912 \| good	0.424 \| good	3.148 \| good	0.069 \| good
2025-07-31T10:00:00.000Z	17 \| good	3.275 \| good	14.098 \| good	17.883 \| good	0.439 \| good	3.024 \| good	0.068 \| good
2025-07-31T11:00:00.000Z	16 \| good	3.337 \| good	14.478 \| good	17.153 \| good	0.455 \| good	2.901 \| good	0.068 \| good
2025-07-31T12:00:00.000Z	15 \| good	1.868 \| good	7.935 \| good	15.945 \| good	0.47 \| good	2.778 \| good	0.067 \| good
2025-07-31T13:00:00.000Z	16 \| good	3.295 \| good	14.425 \| good	16.116 \| good	0.492 \| good	2.614 \| good	0.067 \| good
2025-07-31T14:00:00.000Z	16 \| good	2.655 \| good	10.963 \| good	15.308 \| good	0.514 \| good	2.45 \| good	0.068 \| good
2025-07-31T15:00:00.000Z	22 \| good	4.063 \| good	17.784 \| good	16.049 \| good	0.535 \| good	2.286 \| good	0.068 \| good
2025-07-31T16:00:00.000Z	17 \| good	3.473 \| good	15.341 \| good	18.372 \| good	0.601 \| good	2.369 \| good	0.072 \| good
2025-07-31T17:00:00.000Z	18 \| good	3.173 \| good	14.005 \| good	19.32 \| good	0.666 \| good	2.451 \| good	0.077 \| good
2025-07-31T18:00:00.000Z	22 \| good	4.465 \| good	19.612 \| good	20.362 \| good	0.732 \| good	2.534 \| good	0.081 \| good
2025-07-31T19:00:00.000Z	33 \| good	5.741 \| good	24.948 \| good	20.009 \| good	0.751 \| good	2.405 \| good	0.08 \| good
2025-07-31T20:00:00.000Z	33 \| good	5.877 \| good	25.592 \| good	19.266 \| good	0.77 \| good	2.276 \| good	0.08 \| good
2025-07-31T21:00:00.000Z	33 \| good	5.728 \| good	24.771 \| good	20.062 \| good	0.789 \| good	2.147 \| good	0.079 \| good
2025-07-31T22:00:00.000Z	33 \| good	6.114 \| good	27.188 \| good	21.006 \| good	0.709 \| good	2.268 \| good	0.079 \| good
2025-07-31T23:00:00.000Z	33 \| good	6.008 \| good	26.326 \| good	20.313 \| good	0.628 \| good	2.388 \| good	0.078 \| good
2025-08-01T00:00:00.000Z	27 \| good	4.967 \| good	21.571 \| good	20.185 \| good	0.547 \| good	2.508 \| good	0.078 \| good
2025-08-01T01:00:00.000Z	22 \| good	4.229 \| good	18.485 \| good	19.214 \| good	0.514 \| good	3.469 \| good	0.08 \| good
2025-08-01T02:00:00.000Z	18 \| good	2.952 \| good	12.022 \| good	19.488 \| good	0.481 \| good	4.43 \| good	0.082 \| good
2025-08-01T03:00:00.000Z	19 \| good	2.896 \| good	12.052 \| good	19.946 \| good	0.448 \| good	5.391 \| good	0.085 \| good
2025-08-01T04:00:00.000Z	19 \| good	2.362 \| good	9.925 \| good	20.745 \| good	0.465 \| good	5.111 \| good	0.083 \| good
2025-08-01T05:00:00.000Z	19 \| good	3.167 \| good	13.833 \| good	20.04 \| good	0.482 \| good	4.832 \| good	0.081 \| good
2025-08-01T06:00:00.000Z	22 \| good	3.961 \| good	17.379 \| good	19.4 \| good	0.499 \| good	4.553 \| good	0.08 \| good
2025-08-01T07:00:00.000Z	22 \| good	3.643 \| good	15.973 \| good	19.514 \| good	0.472 \| good	3.952 \| good	0.078 \| good
2025-08-01T08:00:00.000Z	22 \| good	3.895 \| good	17.302 \| good	19.982 \| good	0.445 \| good	3.351 \| good	0.076 \| good
2025-08-01T09:00:00.000Z	27 \| good	4.762 \| good	20.538 \| good	18.985 \| good	0.418 \| good	2.749 \| good	0.074 \| good
2025-08-01T10:00:00.000Z	22 \| good	3.593 \| good	15.989 \| good	18.573 \| good	0.429 \| good	2.626 \| good	0.074 \| good
2025-08-01T11:00:00.000Z	22 \| good	3.678 \| good	16.034 \| good	17.014 \| good	0.441 \| good	2.502 \| good	0.073 \| good
2025-08-01T12:00:00.000Z	16 \| good	2.252 \| good	9.075 \| good	17.255 \| good	0.452 \| good	2.378 \| good	0.072 \| good
2025-08-01T13:00:00.000Z	22 \| good	3.889 \| good	16.901 \| good	14.463 \| good	0.46 \| good	2.181 \| good	0.073 \| good
2025-08-01T14:00:00.000Z	22 \| good	4.047 \| good	17.425 \| good	14.054 \| good	0.468 \| good	1.985 \| good	0.073 \| good
2025-08-01T15:00:00.000Z	22 \| good	4.279 \| good	18.575 \| good	14.245 \| good	0.475 \| good	1.788 \| good	0.074 \| good
2025-08-01T16:00:00.000Z	22 \| good	3.848 \| good	16.647 \| good	16.041 \| good	0.527 \| good	1.826 \| good	0.077 \| good
2025-08-01T17:00:00.000Z	22 \| good	3.549 \| good	15.522 \| good	17.698 \| good	0.579 \| good	1.864 \| good	0.08 \| good

South San Francisco

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near South San Francisco, California

0.32ppm

How accurate is California, USA air quality data?

The air quality data for California, 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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Check live rankings of places in the USA affected by air pollution.

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Frequently asked questions

How frequently does the air quality data for South San Francisco, California get updated?

Air quality updates for South San Francisco, California are available every hour.

What time in the past 24 hours saw the poorest air quality in South San Francisco, California?

South San Francisco, California experienced its worst air quality at 11:00:00, 2025-07-29.

When was air quality in South San Francisco, California the best over the past 24 hours?

The best air quality in South San Francisco, California was observed at 04:00:00 on 2025-07-30.

What is the air quality in South San Francisco, California right now?

The air quality in South San Francisco, California right now is Good, with an AQI of 22.

What pollutant is most frequently found in South San Francisco, California?

In South San Francisco, California, PM2.5 is the most frequently found pollutant.

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

When air quality in South San Francisco, California is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in South San Francisco, California right now?

South San Francisco, California currently has a PM_2.5 concentration of 4.415 μg/m³.

What is the current level of PM₁₀ in South San Francisco, California?

South San Francisco, California currently has a PM₁₀ concentration of 20.586 μg/m³.

What is the current level of carbon monoxide (CO) in South San Francisco, California?

The current carbon monoxide (CO) level in South San Francisco, California is 0.318 ppm.

What is the current level of sulfur dioxide (SO₂) in South San Francisco, California?

The current sulfur dioxide (SO₂) concentration in South San Francisco, California is 0.707 ppb.

What is the current level of ozone (O₃) in South San Francisco, California?

South San Francisco, California currently has an ozone (O₃) concentration of 17.085 ppm.

What is the current level of nitrogen dioxide (NO₂) in South San Francisco, California?

The current level of nitrogen dioxide (NO₂) in South San Francisco, California is 4.469 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-28T23:00:00.000Z	33 \| good	6.462 \| good	22.185 \| good	21.91 \| good	0.468 \| good	3.135 \| good	0.318 \| good
2025-07-29T00:00:00.000Z	38 \| good	6.605 \| good	24.594 \| good	22.961 \| good	0.501 \| good	2.87 \| good	0.318 \| good
2025-07-29T01:00:00.000Z	33 \| good	6.043 \| good	29.402 \| good	24.811 \| good	0.505 \| good	3.543 \| good	0.318 \| good
2025-07-29T02:00:00.000Z	33 \| good	5.769 \| good	24.73 \| good	25.23 \| good	0.482 \| good	3.427 \| good	0.302 \| good
2025-07-29T03:00:00.000Z	38 \| good	7.382 \| good	33.981 \| good	28.243 \| good	0.459 \| good	4.219 \| good	0.302 \| good
2025-07-29T04:00:00.000Z	27 \| good	5.265 \| good	26.955 \| good	26.633 \| good	0.718 \| good	2.792 \| good	0.318 \| good
2025-07-29T05:00:00.000Z	27 \| good	5.472 \| good	19.312 \| good	26.47 \| good	0.706 \| good	3.158 \| good	0.359 \| good
2025-07-29T06:00:00.000Z	26 \| good	4.251 \| good	12.45 \| good	27.64 \| good	0.695 \| good	2.586 \| good	0.359 \| good
2025-07-29T07:00:00.000Z	38 \| good	6.56 \| good	16.747 \| good	24.526 \| good	0.709 \| good	1.966 \| good	0.318 \| good
2025-07-29T08:00:00.000Z	27 \| good	4.959 \| good	16.188 \| good	21.795 \| good	0.707 \| good	1.863 \| good	0.318 \| good
2025-07-29T09:00:00.000Z	22 \| good	4.33 \| good	12.808 \| good	18.514 \| good	0.713 \| good	1.328 \| good	0.302 \| good
2025-07-29T10:00:00.000Z	22 \| good	4.394 \| good	14.527 \| good	17.52 \| good	0.644 \| good	1.351 \| good	0.281 \| good
2025-07-29T11:00:00.000Z	27 \| good	4.616 \| good	8.906 \| good	20.451 \| good	0.638 \| good	1.363 \| good	0.281 \| good
2025-07-29T12:00:00.000Z	22 \| good	4.308 \| good	19.716 \| good	20.19 \| good	0.639 \| good	1.528 \| good	0.281 \| good
2025-07-29T13:00:00.000Z	27 \| good	5.411 \| good	21.749 \| good	18.423 \| good	0.539 \| good	2.898 \| good	0.318 \| good
2025-07-29T14:00:00.000Z	22 \| good	3.538 \| good	12.767 \| good	18.022 \| good	0.267 \| good	4.718 \| good	0.339 \| good
2025-07-29T15:00:00.000Z	27 \| good	5.257 \| good	21.082 \| good	12.536 \| good	0.497 \| good	4.24 \| good	0.372 \| good
2025-07-29T16:00:00.000Z	27 \| good	5.062 \| good	26.324 \| good	13.066 \| good	0.281 \| good	4.595 \| good	0.333 \| good
2025-07-29T17:00:00.000Z	33 \| good	6.203 \| good	33.218 \| good	15.317 \| good	0.295 \| good	3.979 \| good	0.355 \| good
2025-07-29T18:00:00.000Z	33 \| good	5.725 \| good	29.639 \| good	14.38 \| good	0.29 \| good	3.999 \| good	0.355 \| good
2025-07-29T19:00:00.000Z	27 \| good	5.392 \| good	22.89 \| good	13.255 \| good	0.57 \| good	3.908 \| good	0.355 \| good
2025-07-29T20:00:00.000Z	27 \| good	5.281 \| good	23.914 \| good	15.48 \| good	0.31 \| good	4.204 \| good	0.339 \| good
2025-07-29T21:00:00.000Z	38 \| good	6.638 \| good	28.279 \| good	18.19 \| good	0.26 \| good	3.289 \| good	0.339 \| good
2025-07-29T22:00:00.000Z	33 \| good	6.108 \| good	28.903 \| good	19.238 \| good	0.521 \| good	3.003 \| good	0.339 \| good
2025-07-29T23:00:00.000Z	44 \| good	7.558 \| good	35.049 \| good	18.004 \| good	0.52 \| good	2.986 \| good	0.339 \| good
2025-07-30T00:00:00.000Z	38 \| good	6.628 \| good	22.132 \| good	17.607 \| good	0.556 \| good	2.796 \| good	0.318 \| good
2025-07-30T01:00:00.000Z	33 \| good	5.882 \| good	31.422 \| good	18.014 \| good	2.417 \| good	2.891 \| good	0.318 \| good
2025-07-30T02:00:00.000Z	28 \| good	4.92 \| good	29.663 \| good	21.551 \| good	11.638 \| good	2.929 \| good	0.302 \| good
2025-07-30T03:00:00.000Z	22 \| good	3.652 \| good	16.114 \| good	17.499 \| good	0.359 \| good	3.642 \| good	0.098 \| good
2025-07-30T04:00:00.000Z	23 \| good	3.881 \| good	14.324 \| good	25.067 \| good	2.333 \| good	2.438 \| good	0.318 \| good
2025-07-30T05:00:00.000Z	33 \| good	5.827 \| good	29.731 \| good	21.997 \| good	1.446 \| good	2.28 \| good	0.318 \| good
2025-07-30T06:00:00.000Z	27 \| good	4.592 \| good	15.671 \| good	18.129 \| good	0.75 \| good	1.381 \| good	0.339 \| good
2025-07-30T07:00:00.000Z	27 \| good	5.449 \| good	18.766 \| good	17.925 \| good	0.724 \| good	1.264 \| good	0.339 \| good
2025-07-30T08:00:00.000Z	27 \| good	4.91 \| good	15.451 \| good	18.738 \| good	0.626 \| good	1.18 \| good	0.339 \| good
2025-07-30T09:00:00.000Z	27 \| good	4.62 \| good	19.968 \| good	18.108 \| good	0.58 \| good	0.929 \| good	0.303 \| good
2025-07-30T10:00:00.000Z	22 \| good	4.389 \| good	17.402 \| good	18.923 \| good	0.652 \| good	1.065 \| good	0.287 \| good
2025-07-30T11:00:00.000Z	22 \| good	3.906 \| good	17.098 \| good	18.613 \| good	0.684 \| good	0.98 \| good	0.287 \| good
2025-07-30T12:00:00.000Z	22 \| good	4.387 \| good	19.616 \| good	18.482 \| good	0.678 \| good	1.073 \| good	0.287 \| good
2025-07-30T13:00:00.000Z	22 \| good	4.168 \| good	17.408 \| good	18.213 \| good	0.634 \| good	2.366 \| good	0.318 \| good
2025-07-30T14:00:00.000Z	22 \| good	3.521 \| good	15.126 \| good	18.183 \| good	0.396 \| good	3.018 \| good	0.318 \| good
2025-07-30T15:00:00.000Z	22 \| good	3.955 \| good	18.826 \| good	16.658 \| good	0.701 \| good	3.044 \| good	0.339 \| good
2025-07-30T16:00:00.000Z	16 \| good	3.335 \| good	11.688 \| good	17.37 \| good	0.676 \| good	3.098 \| good	0.318 \| good
2025-07-30T17:00:00.000Z	22 \| good	4.415 \| good	20.586 \| good	17.085 \| good	0.707 \| good	4.469 \| good	0.318 \| good
2025-07-30T18:00:00.000Z	27 \| good	4.774 \| good	20.488 \| good	17.936 \| good	0.659 \| good	4.355 \| good	0.318 \| good
2025-07-30T19:00:00.000Z	27 \| good	5.221 \| good	23.8 \| good	15.1 \| good	0.441 \| good	3.852 \| good	0.318 \| good
2025-07-30T20:00:00.000Z	33 \| good	5.959 \| good	33.352 \| good	16.861 \| good	0.458 \| good	3.748 \| good	0.318 \| good
2025-07-30T21:00:00.000Z	27 \| good	5.169 \| good	26.675 \| good	18.302 \| good	0.654 \| good	2.986 \| good	0.355 \| good
2025-07-30T22:00:00.000Z	27 \| good	5.169 \| good	26.675 \| good	18.302 \| good	0.654 \| good	2.986 \| good	0.355 \| good
2025-07-30T18:00:00.000Z	19 \| good	3.334 \| good	14.564 \| good	21.201 \| good	0.466 \| good	1.654 \| good	0.085 \| good
2025-07-30T19:00:00.000Z	22 \| good	4.238 \| good	18.414 \| good	20.661 \| good	0.502 \| good	1.63 \| good	0.084 \| good
2025-07-30T20:00:00.000Z	33 \| good	5.713 \| good	24.758 \| good	19.834 \| good	0.538 \| good	1.605 \| good	0.084 \| good
2025-07-30T21:00:00.000Z	33 \| good	6.419 \| good	28.605 \| good	20.344 \| good	0.574 \| good	1.58 \| good	0.083 \| good
2025-07-30T22:00:00.000Z	27 \| good	4.754 \| good	20.879 \| good	19.694 \| good	0.542 \| good	1.805 \| good	0.083 \| good
2025-07-30T23:00:00.000Z	22 \| good	4.321 \| good	18.879 \| good	18.611 \| good	0.511 \| good	2.031 \| good	0.082 \| good
2025-07-31T00:00:00.000Z	22 \| good	4.323 \| good	18.868 \| good	18.04 \| good	0.479 \| good	2.256 \| good	0.082 \| good
2025-07-31T01:00:00.000Z	22 \| good	3.622 \| good	16.007 \| good	18.255 \| good	0.455 \| good	2.865 \| good	0.081 \| good
2025-07-31T02:00:00.000Z	17 \| good	2.497 \| good	10.148 \| good	18.104 \| good	0.43 \| good	3.475 \| good	0.08 \| good
2025-07-31T03:00:00.000Z	17 \| good	2.415 \| good	9.959 \| good	18.373 \| good	0.406 \| good	4.084 \| good	0.08 \| good
2025-07-31T04:00:00.000Z	17 \| good	1.317 \| good	5.065 \| good	17.913 \| good	0.41 \| good	3.985 \| good	0.077 \| good
2025-07-31T05:00:00.000Z	18 \| good	2.22 \| good	9 \| good	18.598 \| good	0.413 \| good	3.886 \| good	0.074 \| good
2025-07-31T06:00:00.000Z	17 \| good	2.377 \| good	9.925 \| good	18.475 \| good	0.417 \| good	3.787 \| good	0.071 \| good
2025-07-31T07:00:00.000Z	18 \| good	2.742 \| good	11.363 \| good	18.836 \| good	0.419 \| good	3.574 \| good	0.07 \| good
2025-07-31T08:00:00.000Z	18 \| good	3.304 \| good	14.312 \| good	18.976 \| good	0.422 \| good	3.361 \| good	0.07 \| good
2025-07-31T09:00:00.000Z	22 \| good	3.992 \| good	17.415 \| good	17.912 \| good	0.424 \| good	3.148 \| good	0.069 \| good
2025-07-31T10:00:00.000Z	17 \| good	3.275 \| good	14.098 \| good	17.883 \| good	0.439 \| good	3.024 \| good	0.068 \| good
2025-07-31T11:00:00.000Z	16 \| good	3.337 \| good	14.478 \| good	17.153 \| good	0.455 \| good	2.901 \| good	0.068 \| good
2025-07-31T12:00:00.000Z	15 \| good	1.868 \| good	7.935 \| good	15.945 \| good	0.47 \| good	2.778 \| good	0.067 \| good
2025-07-31T13:00:00.000Z	16 \| good	3.295 \| good	14.425 \| good	16.116 \| good	0.492 \| good	2.614 \| good	0.067 \| good
2025-07-31T14:00:00.000Z	16 \| good	2.655 \| good	10.963 \| good	15.308 \| good	0.514 \| good	2.45 \| good	0.068 \| good
2025-07-31T15:00:00.000Z	22 \| good	4.063 \| good	17.784 \| good	16.049 \| good	0.535 \| good	2.286 \| good	0.068 \| good
2025-07-31T16:00:00.000Z	17 \| good	3.473 \| good	15.341 \| good	18.372 \| good	0.601 \| good	2.369 \| good	0.072 \| good
2025-07-31T17:00:00.000Z	18 \| good	3.173 \| good	14.005 \| good	19.32 \| good	0.666 \| good	2.451 \| good	0.077 \| good
2025-07-31T18:00:00.000Z	22 \| good	4.465 \| good	19.612 \| good	20.362 \| good	0.732 \| good	2.534 \| good	0.081 \| good
2025-07-31T19:00:00.000Z	33 \| good	5.741 \| good	24.948 \| good	20.009 \| good	0.751 \| good	2.405 \| good	0.08 \| good
2025-07-31T20:00:00.000Z	33 \| good	5.877 \| good	25.592 \| good	19.266 \| good	0.77 \| good	2.276 \| good	0.08 \| good
2025-07-31T21:00:00.000Z	33 \| good	5.728 \| good	24.771 \| good	20.062 \| good	0.789 \| good	2.147 \| good	0.079 \| good
2025-07-31T22:00:00.000Z	33 \| good	6.114 \| good	27.188 \| good	21.006 \| good	0.709 \| good	2.268 \| good	0.079 \| good
2025-07-31T23:00:00.000Z	33 \| good	6.008 \| good	26.326 \| good	20.313 \| good	0.628 \| good	2.388 \| good	0.078 \| good
2025-08-01T00:00:00.000Z	27 \| good	4.967 \| good	21.571 \| good	20.185 \| good	0.547 \| good	2.508 \| good	0.078 \| good
2025-08-01T01:00:00.000Z	22 \| good	4.229 \| good	18.485 \| good	19.214 \| good	0.514 \| good	3.469 \| good	0.08 \| good
2025-08-01T02:00:00.000Z	18 \| good	2.952 \| good	12.022 \| good	19.488 \| good	0.481 \| good	4.43 \| good	0.082 \| good
2025-08-01T03:00:00.000Z	19 \| good	2.896 \| good	12.052 \| good	19.946 \| good	0.448 \| good	5.391 \| good	0.085 \| good
2025-08-01T04:00:00.000Z	19 \| good	2.362 \| good	9.925 \| good	20.745 \| good	0.465 \| good	5.111 \| good	0.083 \| good
2025-08-01T05:00:00.000Z	19 \| good	3.167 \| good	13.833 \| good	20.04 \| good	0.482 \| good	4.832 \| good	0.081 \| good
2025-08-01T06:00:00.000Z	22 \| good	3.961 \| good	17.379 \| good	19.4 \| good	0.499 \| good	4.553 \| good	0.08 \| good
2025-08-01T07:00:00.000Z	22 \| good	3.643 \| good	15.973 \| good	19.514 \| good	0.472 \| good	3.952 \| good	0.078 \| good
2025-08-01T08:00:00.000Z	22 \| good	3.895 \| good	17.302 \| good	19.982 \| good	0.445 \| good	3.351 \| good	0.076 \| good
2025-08-01T09:00:00.000Z	27 \| good	4.762 \| good	20.538 \| good	18.985 \| good	0.418 \| good	2.749 \| good	0.074 \| good
2025-08-01T10:00:00.000Z	22 \| good	3.593 \| good	15.989 \| good	18.573 \| good	0.429 \| good	2.626 \| good	0.074 \| good
2025-08-01T11:00:00.000Z	22 \| good	3.678 \| good	16.034 \| good	17.014 \| good	0.441 \| good	2.502 \| good	0.073 \| good
2025-08-01T12:00:00.000Z	16 \| good	2.252 \| good	9.075 \| good	17.255 \| good	0.452 \| good	2.378 \| good	0.072 \| good
2025-08-01T13:00:00.000Z	22 \| good	3.889 \| good	16.901 \| good	14.463 \| good	0.46 \| good	2.181 \| good	0.073 \| good
2025-08-01T14:00:00.000Z	22 \| good	4.047 \| good	17.425 \| good	14.054 \| good	0.468 \| good	1.985 \| good	0.073 \| good
2025-08-01T15:00:00.000Z	22 \| good	4.279 \| good	18.575 \| good	14.245 \| good	0.475 \| good	1.788 \| good	0.074 \| good
2025-08-01T16:00:00.000Z	22 \| good	3.848 \| good	16.647 \| good	16.041 \| good	0.527 \| good	1.826 \| good	0.077 \| good
2025-08-01T17:00:00.000Z	22 \| good	3.549 \| good	15.522 \| good	17.698 \| good	0.579 \| good	1.864 \| good	0.08 \| good

Current air quality index in South San Francisco, California today

Common air pollutants in South San Francisco, California

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South San Francisco, California air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near South San Francisco, California

Air quality in nearby cities

San Bruno, California

Millbrae, California

Daly City, California

Pacifica, California

Hillsborough, California

Burlingame, California

How accurate is California, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for South San Francisco, California get updated?

What time in the past 24 hours saw the poorest air quality in South San Francisco, California?

When was air quality in South San Francisco, California the best over the past 24 hours?

What is the air quality in South San Francisco, California right now?

What pollutant is most frequently found in South San Francisco, California?

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

What is the PM2.5 concentration in South San Francisco, California right now?

What is the current level of PM10 in South San Francisco, California?

What is the current level of carbon monoxide (CO) in South San Francisco, California?

What is the current level of sulfur dioxide (SO2) in South San Francisco, California?

What is the current level of ozone (O3) in South San Francisco, California?

What is the current level of nitrogen dioxide (NO2) in South San Francisco, California?

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 South San Francisco, California right now?

What is the current level of PM₁₀ in South San Francisco, California?

What is the current level of sulfur dioxide (SO₂) in South San Francisco, California?

What is the current level of ozone (O₃) in South San Francisco, California?

What is the current level of nitrogen dioxide (NO₂) in South San Francisco, California?