What are the current PM10 levels at Santa Fe Springs, California?

The current PM10 levels in Santa Fe Springs, California are 2.718 μg/m3.

What are the current sulfur dioxide (SO2) levels at Santa Fe Springs, California?

The current sulfur dioxide (SO2) levels in Santa Fe Springs, California are 0.355 ppb.

What are the current ozone (O3) levels at Santa Fe Springs, California?

The current ozone (O3) levels at Santa Fe Springs, California is 39.796 ppm.

What are the current nitrogen dioxide (NO2) levels at Santa Fe Springs, California?

The current nitrogen dioxide (NO2) levels at Santa Fe Springs, California is 2.716 ppb.

Real-time air quality index in Santa Fe Springs, California today

Q: What are the current PM2.5 levels in Santa Fe Springs, California?

The measured PM2.5 levels in Santa Fe Springs, California at present are 0.817 μg/m3.

Stay updated with real-time air quality in Santa Fe Springs, 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

Santa Fe Springs, California

Last updated: ... (Local time)

Common air pollutants in Santa Fe Springs, California

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

0.82 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

2.72 μg/m³

155

255

425

605+

Ozone (O₃)

39.80 ppb

201

201+

Sulfur Dioxide (SO₂)

0.35 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.72 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.21 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Santa Fe Springs, California

Get Live Pollen Counts

Santa Fe Springs, California

Scroll To Air Quality Map

Track live Santa Fe Springs, California air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-21T02:00:00.000Z	33 \| good	5.83 \| good	26.298 \| good	31.878 \| good	0.377 \| good	8.387 \| good	0.289 \| good
2026-10-21T03:00:00.000Z	27 \| good	4.806 \| good	20.59 \| good	25.473 \| good	1.059 \| good	11.711 \| good	0.156 \| good
2026-10-21T04:00:00.000Z	27 \| good	5.171 \| good	21.61 \| good	25.997 \| good	0.372 \| good	8.24 \| good	0.208 \| good
2026-10-21T05:00:00.000Z	27 \| good	5.073 \| good	22.838 \| good	25.895 \| good	0.695 \| good	7.454 \| good	0.217 \| good
2026-10-21T06:00:00.000Z	27 \| good	5.454 \| good	24.069 \| good	25.265 \| good	0.35 \| good	7.296 \| good	0.222 \| good
2026-10-21T07:00:00.000Z	27 \| good	5.431 \| good	24.551 \| good	25.237 \| good	0.351 \| good	7.31 \| good	0.222 \| good
2026-10-21T08:00:00.000Z	38 \| good	6.886 \| good	31.229 \| good	24.204 \| good	0.342 \| good	9.213 \| good	0.244 \| good
2026-10-21T09:00:00.000Z	38 \| good	6.689 \| good	30.119 \| good	23.496 \| good	0.438 \| good	6.964 \| good	0.195 \| good
2026-10-21T10:00:00.000Z	38 \| good	6.592 \| good	29.704 \| good	13.021 \| good	0.386 \| good	13.546 \| good	0.245 \| good
2026-10-21T11:00:00.000Z	27 \| good	5.021 \| good	23.099 \| good	9.871 \| good	0.395 \| good	15.702 \| good	0.295 \| good
2026-10-21T12:00:00.000Z	27 \| good	4.66 \| good	22.275 \| good	7.645 \| good	0.428 \| good	15.927 \| good	0.302 \| good
2026-10-21T13:00:00.000Z	27 \| good	5.295 \| good	23.453 \| good	7.952 \| good	0.427 \| good	15.988 \| good	0.302 \| good
2026-10-21T14:00:00.000Z	33 \| good	6.045 \| good	27.603 \| good	5.985 \| good	0.429 \| good	19.564 \| good	0.491 \| good
2026-10-21T15:00:00.000Z	38 \| good	6.95 \| good	31.078 \| good	8.722 \| good	0.53 \| good	19.657 \| good	0.554 \| good
2026-10-21T16:00:00.000Z	44 \| good	8.174 \| good	34.764 \| good	10.722 \| good	0.46 \| good	19.536 \| good	0.54 \| good
2026-10-21T17:00:00.000Z	54 \| moderate	10.939 \| good	47.412 \| good	11.971 \| good	0.495 \| good	19.225 \| good	0.383 \| good
2026-10-21T18:00:00.000Z	52 \| moderate	10.136 \| good	45.321 \| good	13.688 \| good	0.388 \| good	17.886 \| good	0.307 \| good
2026-10-21T19:00:00.000Z	54 \| moderate	10.583 \| good	46.702 \| good	34.028 \| good	0.57 \| good	5.123 \| good	0.295 \| good
2026-10-21T20:00:00.000Z	49 \| good	8.814 \| good	42.525 \| good	34.707 \| good	0.503 \| good	5.092 \| good	0.26 \| good
2026-10-21T21:00:00.000Z	38 \| good	7.18 \| good	35.441 \| good	35.193 \| good	0.554 \| good	5.585 \| good	0.285 \| good
2026-10-21T22:00:00.000Z	33 \| good	6.305 \| good	30.617 \| good	34.738 \| good	0.481 \| good	10.018 \| good	0.25 \| good
2026-10-21T23:00:00.000Z	22 \| good	4.045 \| good	18.66 \| good	24.488 \| good	0.414 \| good	11.354 \| good	0.31 \| good
2026-10-22T00:00:00.000Z	27 \| good	5.495 \| good	23.884 \| good	24.259 \| good	0.426 \| good	11.38 \| good	0.37 \| good
2026-10-22T01:00:00.000Z	27 \| good	5.227 \| good	22.425 \| good	26.869 \| good	0.401 \| good	11.325 \| good	0.415 \| good
2026-10-22T02:00:00.000Z	44 \| good	7.645 \| good	32.545 \| good	22.341 \| good	0.417 \| good	14.777 \| good	0.392 \| good
2026-10-22T03:00:00.000Z	34 \| good	4.196 \| good	18.584 \| good	36.72 \| good	0.556 \| good	16.017 \| good	0.144 \| good
2026-10-22T04:00:00.000Z	27 \| good	5.359 \| good	21.301 \| good	24.418 \| good	0.346 \| good	9.336 \| good	0.278 \| good
2026-10-22T05:00:00.000Z	21 \| good	3.212 \| good	13.355 \| good	22.721 \| good	0.619 \| good	6.892 \| good	0.245 \| good
2026-10-22T06:00:00.000Z	24 \| good	2.886 \| good	10.528 \| good	26.066 \| good	0.239 \| good	4.651 \| good	0.235 \| good
2026-10-22T07:00:00.000Z	24 \| good	2.773 \| good	11.108 \| good	26.091 \| good	0.239 \| good	4.638 \| good	0.235 \| good
2026-10-22T08:00:00.000Z	27 \| good	4.803 \| good	20.308 \| good	23.351 \| good	0.295 \| good	4.706 \| good	0.182 \| good
2026-10-22T09:00:00.000Z	21 \| good	1.672 \| good	7.067 \| good	22.636 \| good	0.382 \| good	4.169 \| good	0.145 \| good
2026-10-22T10:00:00.000Z	17 \| good	2.008 \| good	8.796 \| good	18 \| good	0.295 \| good	4.778 \| good	0.145 \| good
2026-10-22T11:00:00.000Z	12 \| good	2.404 \| good	10.455 \| good	13.076 \| good	0.359 \| good	8.194 \| good	0.247 \| good
2026-10-22T12:00:00.000Z	10 \| good	1.43 \| good	6.316 \| good	9.692 \| good	0.295 \| good	10.715 \| good	0.278 \| good
2026-10-22T13:00:00.000Z	11 \| good	1.502 \| good	6.861 \| good	9.733 \| good	0.295 \| good	10.734 \| good	0.278 \| good
2026-10-22T14:00:00.000Z	12 \| good	1.09 \| good	4 \| good	7.552 \| good	0.295 \| good	13.473 \| good	0.477 \| good
2026-10-22T15:00:00.000Z	15 \| good	1.091 \| good	3.904 \| good	7.008 \| good	0.243 \| good	16.2 \| good	0.596 \| good
2026-10-22T16:00:00.000Z	19 \| good	3.107 \| good	9.914 \| good	12.699 \| good	0.361 \| good	20.066 \| good	0.573 \| good
2026-10-22T17:00:00.000Z	16 \| good	2.868 \| good	13.06 \| good	13.8 \| good	0.329 \| good	6.049 \| good	0.337 \| good
2026-10-22T18:00:00.000Z	30 \| good	3.037 \| good	12.63 \| good	32.151 \| good	0.275 \| good	5.652 \| good	0.264 \| good
2026-10-22T19:00:00.000Z	28 \| good	0.995 \| good	3.502 \| good	30.117 \| good	0.242 \| good	7.755 \| good	0.231 \| good
2026-10-22T20:00:00.000Z	31 \| good	1.486 \| good	6.171 \| good	33.985 \| good	0.254 \| good	6.741 \| good	0.206 \| good
2026-10-22T21:00:00.000Z	36 \| good	2.375 \| good	9.004 \| good	38.764 \| good	0.238 \| good	2.751 \| good	0.212 \| good
2026-10-22T22:00:00.000Z	38 \| good	3.041 \| good	13.98 \| good	41.434 \| good	0.3 \| good	2.168 \| good	0.225 \| good
2026-10-22T23:00:00.000Z	39 \| good	2.137 \| good	8.763 \| good	41.768 \| good	0.3 \| good	2.749 \| good	0.255 \| good
2026-10-23T00:00:00.000Z	37 \| good	0.82 \| good	2.587 \| good	39.778 \| good	0.354 \| good	2.738 \| good	0.219 \| good
2026-10-23T01:00:00.000Z	37 \| good	0.817 \| good	2.718 \| good	39.796 \| good	0.355 \| good	2.716 \| good	0.21 \| good
2026-10-23T02:00:00.000Z	25 \| good	2.525 \| good	10.093 \| good	27.209 \| good	1.41 \| good	15.378 \| good	0.18 \| good
2026-10-23T03:00:00.000Z	26 \| good	3.123 \| good	13.446 \| good	28.211 \| good	1.59 \| good	23.39 \| good	0.203 \| good
2026-10-23T04:00:00.000Z	28 \| good	2.548 \| good	10.473 \| good	25.621 \| good	1.764 \| good	30.31 \| good	0.222 \| good
2026-10-23T05:00:00.000Z	30 \| good	3.449 \| good	14.957 \| good	23.883 \| good	1.916 \| good	32.179 \| good	0.24 \| good
2026-10-23T06:00:00.000Z	30 \| good	3.91 \| good	17.211 \| good	22.163 \| good	1.883 \| good	31.839 \| good	0.241 \| good
2026-10-23T07:00:00.000Z	27 \| good	3.92 \| good	17.135 \| good	22.391 \| good	1.759 \| good	29.331 \| good	0.227 \| good
2026-10-23T08:00:00.000Z	27 \| good	4.542 \| good	19.501 \| good	20.231 \| good	1.649 \| good	23.182 \| good	0.208 \| good
2026-10-23T09:00:00.000Z	22 \| good	3.971 \| good	17.289 \| good	17.71 \| good	1.475 \| good	18.634 \| good	0.195 \| good
2026-10-23T10:00:00.000Z	22 \| good	4.361 \| good	19.211 \| good	18.301 \| good	1.282 \| good	13.727 \| good	0.18 \| good
2026-10-23T11:00:00.000Z	27 \| good	4.927 \| good	21.371 \| good	14.808 \| good	1.111 \| good	12.504 \| good	0.176 \| good
2026-10-23T12:00:00.000Z	33 \| good	5.809 \| good	25.311 \| good	4.786 \| good	1.019 \| good	12.271 \| good	0.176 \| good
2026-10-23T13:00:00.000Z	38 \| good	6.745 \| good	30.105 \| good	2.981 \| good	0.955 \| good	10.299 \| good	0.169 \| good
2026-10-23T14:00:00.000Z	49 \| good	9.055 \| good	39.908 \| good	3.421 \| good	0.96 \| good	13.408 \| good	0.177 \| good
2026-10-23T15:00:00.000Z	49 \| good	8.515 \| good	37.549 \| good	10.113 \| good	0.986 \| good	14.311 \| good	0.192 \| good
2026-10-23T16:00:00.000Z	33 \| good	5.879 \| good	25.73 \| good	18.172 \| good	0.854 \| good	6.697 \| good	0.157 \| good
2026-10-23T17:00:00.000Z	27 \| good	5.311 \| good	23.143 \| good	23.565 \| good	0.884 \| good	4.921 \| good	0.147 \| good
2026-10-23T18:00:00.000Z	27 \| good	4.667 \| good	20.222 \| good	27.019 \| good	1.027 \| good	4.905 \| good	0.144 \| good
2026-10-23T19:00:00.000Z	31 \| good	4.596 \| good	20.122 \| good	33.34 \| good	1.216 \| good	5.005 \| good	0.144 \| good
2026-10-23T20:00:00.000Z	36 \| good	6.19 \| good	26.902 \| good	38.876 \| good	1.311 \| good	4.433 \| good	0.142 \| good
2026-10-23T21:00:00.000Z	39 \| good	7.211 \| good	32.144 \| good	42.154 \| good	1.322 \| good	4.31 \| good	0.14 \| good
2026-10-23T22:00:00.000Z	40 \| good	6.812 \| good	30.235 \| good	43.431 \| good	1.351 \| good	4.199 \| good	0.139 \| good
2026-10-23T23:00:00.000Z	44 \| good	7.765 \| good	33.835 \| good	44.801 \| good	1.487 \| good	4.862 \| good	0.141 \| good
2026-10-24T00:00:00.000Z	49 \| good	9.049 \| good	40.486 \| good	43.373 \| good	1.662 \| good	6.16 \| good	0.145 \| good
2026-10-24T01:00:00.000Z	49 \| good	9.324 \| good	41.303 \| good	38.282 \| good	1.742 \| good	9.828 \| good	0.155 \| good
2026-10-24T02:00:00.000Z	38 \| good	7.165 \| good	31.886 \| good	33.192 \| good	1.827 \| good	19.112 \| good	0.183 \| good
2026-10-24T03:00:00.000Z	44 \| good	8.153 \| good	35.661 \| good	30.911 \| good	1.885 \| good	26.68 \| good	0.204 \| good
2026-10-24T04:00:00.000Z	49 \| good	9.068 \| good	39.949 \| good	22.938 \| good	1.978 \| good	32.746 \| good	0.223 \| good
2026-10-24T05:00:00.000Z	52 \| moderate	10.029 \| good	44.519 \| good	17.622 \| good	2.078 \| good	33.59 \| good	0.241 \| good
2026-10-24T06:00:00.000Z	49 \| good	9.019 \| good	39.557 \| good	12.296 \| good	2.128 \| good	33.516 \| good	0.249 \| good
2026-10-24T07:00:00.000Z	49 \| good	8.702 \| good	38.506 \| good	11.334 \| good	2.051 \| good	32.445 \| good	0.261 \| good
2026-10-24T08:00:00.000Z	52 \| moderate	10.272 \| good	45.363 \| good	11.658 \| good	1.827 \| good	30.757 \| good	0.257 \| good
2026-10-24T09:00:00.000Z	54 \| moderate	11.491 \| good	50.857 \| good	9.568 \| good	1.621 \| good	28.948 \| good	0.25 \| good
2026-10-24T10:00:00.000Z	58 \| moderate	13.06 \| fine	58.966 \| fine	6.934 \| good	1.407 \| good	26.989 \| good	0.249 \| good
2026-10-24T11:00:00.000Z	60 \| moderate	14.28 \| fine	63.79 \| fine	7.082 \| good	1.206 \| good	25.06 \| good	0.248 \| good
2026-10-24T12:00:00.000Z	64 \| moderate	16.412 \| fine	72.868 \| fine	7.101 \| good	1.041 \| good	23.339 \| good	0.246 \| good
2026-10-24T13:00:00.000Z	69 \| moderate	18.889 \| fine	83.009 \| fine	10.062 \| good	0.918 \| good	21.932 \| good	0.245 \| good
2026-10-24T14:00:00.000Z	75 \| moderate	21.993 \| fine	95.97 \| fine	12.13 \| good	0.896 \| good	21.13 \| good	0.253 \| good
2026-10-24T15:00:00.000Z	77 \| moderate	23.385 \| fine	101.791 \| fine	12.2 \| good	0.902 \| good	18.249 \| good	0.27 \| good
2026-10-24T16:00:00.000Z	67 \| moderate	17.627 \| fine	78.102 \| fine	18.734 \| good	0.924 \| good	15.682 \| good	0.276 \| good
2026-10-24T17:00:00.000Z	58 \| moderate	12.755 \| fine	57.538 \| fine	30.555 \| good	1.306 \| good	12.93 \| good	0.205 \| good
2026-10-24T18:00:00.000Z	52 \| moderate	10.395 \| good	46.13 \| good	35.042 \| good	2.037 \| good	9.173 \| good	0.174 \| good
2026-10-24T19:00:00.000Z	54 \| moderate	10.802 \| good	47.857 \| good	40.922 \| good	2.217 \| good	7.923 \| good	0.167 \| good
2026-10-24T20:00:00.000Z	54 \| moderate	10.505 \| good	46.299 \| good	46.614 \| good	2.265 \| good	7.381 \| good	0.166 \| good
2026-10-24T21:00:00.000Z	52 \| moderate	9.867 \| good	43.533 \| good	52.272 \| good	2.33 \| good	7.179 \| good	0.165 \| good
2026-10-24T22:00:00.000Z	54 \| moderate	8.427 \| good	37.136 \| good	55.714 \| fine	2.461 \| good	7.367 \| good	0.166 \| good
2026-10-24T23:00:00.000Z	50 \| good	7.454 \| good	32.695 \| good	53.79 \| good	2.564 \| good	8.06 \| good	0.168 \| good
2026-10-25T00:00:00.000Z	46 \| good	7.438 \| good	32.65 \| good	49.779 \| good	2.612 \| good	9.646 \| good	0.171 \| good
2026-10-25T01:00:00.000Z	49 \| good	8.794 \| good	38.575 \| good	43.503 \| good	2.66 \| good	14.289 \| good	0.183 \| good

Santa Fe Springs

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Santa Fe Springs, California air quality map: Real-time AQI near you

0.23ppm

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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Frequently asked questions

How frequently is the air quality data for Santa Fe Springs, California updated?

Air quality data for Santa Fe Springs, California is updated on an hourly basis.

When did Santa Fe Springs, California experience the worst air quality in the last 24 hours?

The worst air quality in Santa Fe Springs, California was recorded at 02:00:00 on 2026-10-22.

When did Santa Fe Springs, California have its best air quality in the last 24 hours?

The best air quality in Santa Fe Springs, California was recorded at 12:00:00 on 2026-10-22.

What is the real-time air quality index for Santa Fe Springs, California?

The real-time air quality index in Santa Fe Springs, California is 37, currently categorized as Good.

Which pollutant is found most often in Santa Fe Springs, California?

The most common pollutant in Santa Fe Springs, California is O3.

What can I do if the air quality in Santa Fe Springs, California is poor?

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

What are the current PM_2.5 levels in Santa Fe Springs, California?

The measured PM_2.5 levels in Santa Fe Springs, California at present are 0.817 μg/m³.

What are the current PM₁₀ levels at Santa Fe Springs, California?

The current PM₁₀ levels in Santa Fe Springs, California are 2.718 μg/m³.

What are the current carbon monoxide (CO) levels at Santa Fe Springs, California?

The current carbon monoxide (CO) level in Santa Fe Springs, California is 0.21 ppm.

What are the current sulfur dioxide (SO₂) levels at Santa Fe Springs, California?

The current sulfur dioxide (SO₂) levels in Santa Fe Springs, California are 0.355 ppb.

What are the current ozone (O₃) levels at Santa Fe Springs, California?

The current ozone (O₃) levels at Santa Fe Springs, California is 39.796 ppm.

What are the current nitrogen dioxide (NO₂) levels at Santa Fe Springs, California?

The current nitrogen dioxide (NO₂) levels at Santa Fe Springs, California is 2.716 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-21T02:00:00.000Z	33 \| good	5.83 \| good	26.298 \| good	31.878 \| good	0.377 \| good	8.387 \| good	0.289 \| good
2026-10-21T03:00:00.000Z	27 \| good	4.806 \| good	20.59 \| good	25.473 \| good	1.059 \| good	11.711 \| good	0.156 \| good
2026-10-21T04:00:00.000Z	27 \| good	5.171 \| good	21.61 \| good	25.997 \| good	0.372 \| good	8.24 \| good	0.208 \| good
2026-10-21T05:00:00.000Z	27 \| good	5.073 \| good	22.838 \| good	25.895 \| good	0.695 \| good	7.454 \| good	0.217 \| good
2026-10-21T06:00:00.000Z	27 \| good	5.454 \| good	24.069 \| good	25.265 \| good	0.35 \| good	7.296 \| good	0.222 \| good
2026-10-21T07:00:00.000Z	27 \| good	5.431 \| good	24.551 \| good	25.237 \| good	0.351 \| good	7.31 \| good	0.222 \| good
2026-10-21T08:00:00.000Z	38 \| good	6.886 \| good	31.229 \| good	24.204 \| good	0.342 \| good	9.213 \| good	0.244 \| good
2026-10-21T09:00:00.000Z	38 \| good	6.689 \| good	30.119 \| good	23.496 \| good	0.438 \| good	6.964 \| good	0.195 \| good
2026-10-21T10:00:00.000Z	38 \| good	6.592 \| good	29.704 \| good	13.021 \| good	0.386 \| good	13.546 \| good	0.245 \| good
2026-10-21T11:00:00.000Z	27 \| good	5.021 \| good	23.099 \| good	9.871 \| good	0.395 \| good	15.702 \| good	0.295 \| good
2026-10-21T12:00:00.000Z	27 \| good	4.66 \| good	22.275 \| good	7.645 \| good	0.428 \| good	15.927 \| good	0.302 \| good
2026-10-21T13:00:00.000Z	27 \| good	5.295 \| good	23.453 \| good	7.952 \| good	0.427 \| good	15.988 \| good	0.302 \| good
2026-10-21T14:00:00.000Z	33 \| good	6.045 \| good	27.603 \| good	5.985 \| good	0.429 \| good	19.564 \| good	0.491 \| good
2026-10-21T15:00:00.000Z	38 \| good	6.95 \| good	31.078 \| good	8.722 \| good	0.53 \| good	19.657 \| good	0.554 \| good
2026-10-21T16:00:00.000Z	44 \| good	8.174 \| good	34.764 \| good	10.722 \| good	0.46 \| good	19.536 \| good	0.54 \| good
2026-10-21T17:00:00.000Z	54 \| moderate	10.939 \| good	47.412 \| good	11.971 \| good	0.495 \| good	19.225 \| good	0.383 \| good
2026-10-21T18:00:00.000Z	52 \| moderate	10.136 \| good	45.321 \| good	13.688 \| good	0.388 \| good	17.886 \| good	0.307 \| good
2026-10-21T19:00:00.000Z	54 \| moderate	10.583 \| good	46.702 \| good	34.028 \| good	0.57 \| good	5.123 \| good	0.295 \| good
2026-10-21T20:00:00.000Z	49 \| good	8.814 \| good	42.525 \| good	34.707 \| good	0.503 \| good	5.092 \| good	0.26 \| good
2026-10-21T21:00:00.000Z	38 \| good	7.18 \| good	35.441 \| good	35.193 \| good	0.554 \| good	5.585 \| good	0.285 \| good
2026-10-21T22:00:00.000Z	33 \| good	6.305 \| good	30.617 \| good	34.738 \| good	0.481 \| good	10.018 \| good	0.25 \| good
2026-10-21T23:00:00.000Z	22 \| good	4.045 \| good	18.66 \| good	24.488 \| good	0.414 \| good	11.354 \| good	0.31 \| good
2026-10-22T00:00:00.000Z	27 \| good	5.495 \| good	23.884 \| good	24.259 \| good	0.426 \| good	11.38 \| good	0.37 \| good
2026-10-22T01:00:00.000Z	27 \| good	5.227 \| good	22.425 \| good	26.869 \| good	0.401 \| good	11.325 \| good	0.415 \| good
2026-10-22T02:00:00.000Z	44 \| good	7.645 \| good	32.545 \| good	22.341 \| good	0.417 \| good	14.777 \| good	0.392 \| good
2026-10-22T03:00:00.000Z	34 \| good	4.196 \| good	18.584 \| good	36.72 \| good	0.556 \| good	16.017 \| good	0.144 \| good
2026-10-22T04:00:00.000Z	27 \| good	5.359 \| good	21.301 \| good	24.418 \| good	0.346 \| good	9.336 \| good	0.278 \| good
2026-10-22T05:00:00.000Z	21 \| good	3.212 \| good	13.355 \| good	22.721 \| good	0.619 \| good	6.892 \| good	0.245 \| good
2026-10-22T06:00:00.000Z	24 \| good	2.886 \| good	10.528 \| good	26.066 \| good	0.239 \| good	4.651 \| good	0.235 \| good
2026-10-22T07:00:00.000Z	24 \| good	2.773 \| good	11.108 \| good	26.091 \| good	0.239 \| good	4.638 \| good	0.235 \| good
2026-10-22T08:00:00.000Z	27 \| good	4.803 \| good	20.308 \| good	23.351 \| good	0.295 \| good	4.706 \| good	0.182 \| good
2026-10-22T09:00:00.000Z	21 \| good	1.672 \| good	7.067 \| good	22.636 \| good	0.382 \| good	4.169 \| good	0.145 \| good
2026-10-22T10:00:00.000Z	17 \| good	2.008 \| good	8.796 \| good	18 \| good	0.295 \| good	4.778 \| good	0.145 \| good
2026-10-22T11:00:00.000Z	12 \| good	2.404 \| good	10.455 \| good	13.076 \| good	0.359 \| good	8.194 \| good	0.247 \| good
2026-10-22T12:00:00.000Z	10 \| good	1.43 \| good	6.316 \| good	9.692 \| good	0.295 \| good	10.715 \| good	0.278 \| good
2026-10-22T13:00:00.000Z	11 \| good	1.502 \| good	6.861 \| good	9.733 \| good	0.295 \| good	10.734 \| good	0.278 \| good
2026-10-22T14:00:00.000Z	12 \| good	1.09 \| good	4 \| good	7.552 \| good	0.295 \| good	13.473 \| good	0.477 \| good
2026-10-22T15:00:00.000Z	15 \| good	1.091 \| good	3.904 \| good	7.008 \| good	0.243 \| good	16.2 \| good	0.596 \| good
2026-10-22T16:00:00.000Z	19 \| good	3.107 \| good	9.914 \| good	12.699 \| good	0.361 \| good	20.066 \| good	0.573 \| good
2026-10-22T17:00:00.000Z	16 \| good	2.868 \| good	13.06 \| good	13.8 \| good	0.329 \| good	6.049 \| good	0.337 \| good
2026-10-22T18:00:00.000Z	30 \| good	3.037 \| good	12.63 \| good	32.151 \| good	0.275 \| good	5.652 \| good	0.264 \| good
2026-10-22T19:00:00.000Z	28 \| good	0.995 \| good	3.502 \| good	30.117 \| good	0.242 \| good	7.755 \| good	0.231 \| good
2026-10-22T20:00:00.000Z	31 \| good	1.486 \| good	6.171 \| good	33.985 \| good	0.254 \| good	6.741 \| good	0.206 \| good
2026-10-22T21:00:00.000Z	36 \| good	2.375 \| good	9.004 \| good	38.764 \| good	0.238 \| good	2.751 \| good	0.212 \| good
2026-10-22T22:00:00.000Z	38 \| good	3.041 \| good	13.98 \| good	41.434 \| good	0.3 \| good	2.168 \| good	0.225 \| good
2026-10-22T23:00:00.000Z	39 \| good	2.137 \| good	8.763 \| good	41.768 \| good	0.3 \| good	2.749 \| good	0.255 \| good
2026-10-23T00:00:00.000Z	37 \| good	0.82 \| good	2.587 \| good	39.778 \| good	0.354 \| good	2.738 \| good	0.219 \| good
2026-10-23T01:00:00.000Z	37 \| good	0.817 \| good	2.718 \| good	39.796 \| good	0.355 \| good	2.716 \| good	0.21 \| good
2026-10-23T02:00:00.000Z	25 \| good	2.525 \| good	10.093 \| good	27.209 \| good	1.41 \| good	15.378 \| good	0.18 \| good
2026-10-23T03:00:00.000Z	26 \| good	3.123 \| good	13.446 \| good	28.211 \| good	1.59 \| good	23.39 \| good	0.203 \| good
2026-10-23T04:00:00.000Z	28 \| good	2.548 \| good	10.473 \| good	25.621 \| good	1.764 \| good	30.31 \| good	0.222 \| good
2026-10-23T05:00:00.000Z	30 \| good	3.449 \| good	14.957 \| good	23.883 \| good	1.916 \| good	32.179 \| good	0.24 \| good
2026-10-23T06:00:00.000Z	30 \| good	3.91 \| good	17.211 \| good	22.163 \| good	1.883 \| good	31.839 \| good	0.241 \| good
2026-10-23T07:00:00.000Z	27 \| good	3.92 \| good	17.135 \| good	22.391 \| good	1.759 \| good	29.331 \| good	0.227 \| good
2026-10-23T08:00:00.000Z	27 \| good	4.542 \| good	19.501 \| good	20.231 \| good	1.649 \| good	23.182 \| good	0.208 \| good
2026-10-23T09:00:00.000Z	22 \| good	3.971 \| good	17.289 \| good	17.71 \| good	1.475 \| good	18.634 \| good	0.195 \| good
2026-10-23T10:00:00.000Z	22 \| good	4.361 \| good	19.211 \| good	18.301 \| good	1.282 \| good	13.727 \| good	0.18 \| good
2026-10-23T11:00:00.000Z	27 \| good	4.927 \| good	21.371 \| good	14.808 \| good	1.111 \| good	12.504 \| good	0.176 \| good
2026-10-23T12:00:00.000Z	33 \| good	5.809 \| good	25.311 \| good	4.786 \| good	1.019 \| good	12.271 \| good	0.176 \| good
2026-10-23T13:00:00.000Z	38 \| good	6.745 \| good	30.105 \| good	2.981 \| good	0.955 \| good	10.299 \| good	0.169 \| good
2026-10-23T14:00:00.000Z	49 \| good	9.055 \| good	39.908 \| good	3.421 \| good	0.96 \| good	13.408 \| good	0.177 \| good
2026-10-23T15:00:00.000Z	49 \| good	8.515 \| good	37.549 \| good	10.113 \| good	0.986 \| good	14.311 \| good	0.192 \| good
2026-10-23T16:00:00.000Z	33 \| good	5.879 \| good	25.73 \| good	18.172 \| good	0.854 \| good	6.697 \| good	0.157 \| good
2026-10-23T17:00:00.000Z	27 \| good	5.311 \| good	23.143 \| good	23.565 \| good	0.884 \| good	4.921 \| good	0.147 \| good
2026-10-23T18:00:00.000Z	27 \| good	4.667 \| good	20.222 \| good	27.019 \| good	1.027 \| good	4.905 \| good	0.144 \| good
2026-10-23T19:00:00.000Z	31 \| good	4.596 \| good	20.122 \| good	33.34 \| good	1.216 \| good	5.005 \| good	0.144 \| good
2026-10-23T20:00:00.000Z	36 \| good	6.19 \| good	26.902 \| good	38.876 \| good	1.311 \| good	4.433 \| good	0.142 \| good
2026-10-23T21:00:00.000Z	39 \| good	7.211 \| good	32.144 \| good	42.154 \| good	1.322 \| good	4.31 \| good	0.14 \| good
2026-10-23T22:00:00.000Z	40 \| good	6.812 \| good	30.235 \| good	43.431 \| good	1.351 \| good	4.199 \| good	0.139 \| good
2026-10-23T23:00:00.000Z	44 \| good	7.765 \| good	33.835 \| good	44.801 \| good	1.487 \| good	4.862 \| good	0.141 \| good
2026-10-24T00:00:00.000Z	49 \| good	9.049 \| good	40.486 \| good	43.373 \| good	1.662 \| good	6.16 \| good	0.145 \| good
2026-10-24T01:00:00.000Z	49 \| good	9.324 \| good	41.303 \| good	38.282 \| good	1.742 \| good	9.828 \| good	0.155 \| good
2026-10-24T02:00:00.000Z	38 \| good	7.165 \| good	31.886 \| good	33.192 \| good	1.827 \| good	19.112 \| good	0.183 \| good
2026-10-24T03:00:00.000Z	44 \| good	8.153 \| good	35.661 \| good	30.911 \| good	1.885 \| good	26.68 \| good	0.204 \| good
2026-10-24T04:00:00.000Z	49 \| good	9.068 \| good	39.949 \| good	22.938 \| good	1.978 \| good	32.746 \| good	0.223 \| good
2026-10-24T05:00:00.000Z	52 \| moderate	10.029 \| good	44.519 \| good	17.622 \| good	2.078 \| good	33.59 \| good	0.241 \| good
2026-10-24T06:00:00.000Z	49 \| good	9.019 \| good	39.557 \| good	12.296 \| good	2.128 \| good	33.516 \| good	0.249 \| good
2026-10-24T07:00:00.000Z	49 \| good	8.702 \| good	38.506 \| good	11.334 \| good	2.051 \| good	32.445 \| good	0.261 \| good
2026-10-24T08:00:00.000Z	52 \| moderate	10.272 \| good	45.363 \| good	11.658 \| good	1.827 \| good	30.757 \| good	0.257 \| good
2026-10-24T09:00:00.000Z	54 \| moderate	11.491 \| good	50.857 \| good	9.568 \| good	1.621 \| good	28.948 \| good	0.25 \| good
2026-10-24T10:00:00.000Z	58 \| moderate	13.06 \| fine	58.966 \| fine	6.934 \| good	1.407 \| good	26.989 \| good	0.249 \| good
2026-10-24T11:00:00.000Z	60 \| moderate	14.28 \| fine	63.79 \| fine	7.082 \| good	1.206 \| good	25.06 \| good	0.248 \| good
2026-10-24T12:00:00.000Z	64 \| moderate	16.412 \| fine	72.868 \| fine	7.101 \| good	1.041 \| good	23.339 \| good	0.246 \| good
2026-10-24T13:00:00.000Z	69 \| moderate	18.889 \| fine	83.009 \| fine	10.062 \| good	0.918 \| good	21.932 \| good	0.245 \| good
2026-10-24T14:00:00.000Z	75 \| moderate	21.993 \| fine	95.97 \| fine	12.13 \| good	0.896 \| good	21.13 \| good	0.253 \| good
2026-10-24T15:00:00.000Z	77 \| moderate	23.385 \| fine	101.791 \| fine	12.2 \| good	0.902 \| good	18.249 \| good	0.27 \| good
2026-10-24T16:00:00.000Z	67 \| moderate	17.627 \| fine	78.102 \| fine	18.734 \| good	0.924 \| good	15.682 \| good	0.276 \| good
2026-10-24T17:00:00.000Z	58 \| moderate	12.755 \| fine	57.538 \| fine	30.555 \| good	1.306 \| good	12.93 \| good	0.205 \| good
2026-10-24T18:00:00.000Z	52 \| moderate	10.395 \| good	46.13 \| good	35.042 \| good	2.037 \| good	9.173 \| good	0.174 \| good
2026-10-24T19:00:00.000Z	54 \| moderate	10.802 \| good	47.857 \| good	40.922 \| good	2.217 \| good	7.923 \| good	0.167 \| good
2026-10-24T20:00:00.000Z	54 \| moderate	10.505 \| good	46.299 \| good	46.614 \| good	2.265 \| good	7.381 \| good	0.166 \| good
2026-10-24T21:00:00.000Z	52 \| moderate	9.867 \| good	43.533 \| good	52.272 \| good	2.33 \| good	7.179 \| good	0.165 \| good
2026-10-24T22:00:00.000Z	54 \| moderate	8.427 \| good	37.136 \| good	55.714 \| fine	2.461 \| good	7.367 \| good	0.166 \| good
2026-10-24T23:00:00.000Z	50 \| good	7.454 \| good	32.695 \| good	53.79 \| good	2.564 \| good	8.06 \| good	0.168 \| good
2026-10-25T00:00:00.000Z	46 \| good	7.438 \| good	32.65 \| good	49.779 \| good	2.612 \| good	9.646 \| good	0.171 \| good
2026-10-25T01:00:00.000Z	49 \| good	8.794 \| good	38.575 \| good	43.503 \| good	2.66 \| good	14.289 \| good	0.183 \| good

Real-time air quality index in Santa Fe Springs, California today

Common air pollutants in Santa Fe Springs, California

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Santa Fe Springs, California air quality forecast and history

Empower business decisions with accurate air quality data

Santa Fe Springs, California air quality map: Real-time AQI near you

Air quality in nearby cities

West WhittierLos Nietos, California

Pico Rivera, California

South Whittier, California

Downey, California

Norwalk, California

Whittier, 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 Santa Fe Springs, California updated?

When did Santa Fe Springs, California experience the worst air quality in the last 24 hours?

When did Santa Fe Springs, California have its best air quality in the last 24 hours?

What is the real-time air quality index for Santa Fe Springs, California?

Which pollutant is found most often in Santa Fe Springs, California?

What can I do if the air quality in Santa Fe Springs, California is poor?

What are the current PM2.5 levels in Santa Fe Springs, California?

What are the current PM10 levels at Santa Fe Springs, California?

What are the current carbon monoxide (CO) levels at Santa Fe Springs, California?

What are the current sulfur dioxide (SO2) levels at Santa Fe Springs, California?

What are the current ozone (O3) levels at Santa Fe Springs, California?

What are the current nitrogen dioxide (NO2) levels at Santa Fe Springs, 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 Santa Fe Springs, California?

What are the current PM₁₀ levels at Santa Fe Springs, California?

What are the current sulfur dioxide (SO₂) levels at Santa Fe Springs, California?

What are the current ozone (O₃) levels at Santa Fe Springs, California?

What are the current nitrogen dioxide (NO₂) levels at Santa Fe Springs, California?