What is the current level of PM10 in West Whittierlos Nietos, California?

West Whittierlos Nietos, California currently has a PM10 concentration of 16.026 μg/m3.

What is the current level of sulfur dioxide (SO2) in West Whittierlos Nietos, California?

The current sulfur dioxide (SO2) concentration in West Whittierlos Nietos, California is 0.314 ppb.

What is the current level of ozone (O3) in West Whittierlos Nietos, California?

West Whittierlos Nietos, California currently has an ozone (O3) concentration of 15.225 ppm.

What is the current level of nitrogen dioxide (NO2) in West Whittierlos Nietos, California?

The current level of nitrogen dioxide (NO2) in West Whittierlos Nietos, California is 8.021 ppb.

Current air quality index in West WhittierLos Nietos, California today

Name: Live air pollution levels in West Whittierlos Nietos, California today
Creator: Ambee

Stay updated with real-time air quality in West WhittierLos Nietos, 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

West WhittierLos Nietos, California

Last updated: ... (Local time)

Common air pollutants in West WhittierLos Nietos, California

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.20 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

16.03 μg/m³

155

255

425

605+

Ozone (O₃)

15.22 ppb

201

201+

Sulfur Dioxide (SO₂)

0.31 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.02 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.10 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

West WhittierLos Nietos, California

Get Live Pollen Counts

West WhittierLos Nietos, California

Scroll To Air Quality Map

Track live West WhittierLos Nietos, California air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-08T11:00:00.000Z	38 \| good	6.912 \| good	20.816 \| good	10.929 \| good	0.299 \| good	15.925 \| good	0.288 \| good
2025-09-08T12:00:00.000Z	38 \| good	6.948 \| good	22.937 \| good	6.393 \| good	0.382 \| good	23.398 \| good	0.294 \| good
2025-09-08T13:00:00.000Z	33 \| good	6.38 \| good	28.187 \| good	4.759 \| good	0.26 \| good	19.153 \| good	0.392 \| good
2025-09-08T14:00:00.000Z	33 \| good	6.445 \| good	23.998 \| good	5.624 \| good	0.303 \| good	18.747 \| good	0.485 \| good
2025-09-08T15:00:00.000Z	33 \| good	5.852 \| good	27.127 \| good	10.52 \| good	0.506 \| good	21.223 \| good	0.548 \| good
2025-09-08T16:00:00.000Z	34 \| good	6.47 \| good	37.235 \| good	20.619 \| good	0.636 \| good	11.007 \| good	0.287 \| good
2025-09-08T17:00:00.000Z	49 \| good	7.558 \| good	53.471 \| good	27.272 \| good	0.609 \| good	8.323 \| good	0.287 \| good
2025-09-08T18:00:00.000Z	56 \| moderate	9.671 \| good	66.022 \| fine	32.679 \| good	0.64 \| good	9.231 \| good	0.284 \| good
2025-09-08T19:00:00.000Z	52 \| moderate	9.58 \| good	33.079 \| good	39.35 \| good	0.517 \| good	8.393 \| good	0.194 \| good
2025-09-08T20:00:00.000Z	52 \| moderate	9.624 \| good	31.413 \| good	44.245 \| good	0.44 \| good	6.023 \| good	0.194 \| good
2025-09-08T21:00:00.000Z	46 \| good	7.598 \| good	38.697 \| good	49.689 \| good	0.305 \| good	6.849 \| good	0.19 \| good
2025-09-08T22:00:00.000Z	43 \| good	6.331 \| good	19.398 \| good	46.473 \| good	0.281 \| good	5.595 \| good	0.19 \| good
2025-09-08T23:00:00.000Z	42 \| good	5.727 \| good	30.774 \| good	45.37 \| good	0.563 \| good	4.444 \| good	0.187 \| good
2025-09-09T00:00:00.000Z	33 \| good	5.624 \| good	23.965 \| good	34.561 \| good	5.784 \| good	10.925 \| good	0.156 \| good
2025-09-09T01:00:00.000Z	26 \| good	4.08 \| good	18.002 \| good	28.46 \| good	5.651 \| good	14.578 \| good	0.162 \| good
2025-09-09T02:00:00.000Z	25 \| good	3.867 \| good	17.136 \| good	26.901 \| good	4.804 \| good	15.831 \| good	0.155 \| good
2025-09-09T03:00:00.000Z	24 \| good	3.771 \| good	16.175 \| good	26.153 \| good	4.749 \| good	19.474 \| good	0.164 \| good
2025-09-09T04:00:00.000Z	23 \| good	3.797 \| good	16.842 \| good	21.17 \| good	5.474 \| good	23.985 \| good	0.184 \| good
2025-09-09T05:00:00.000Z	25 \| good	3.085 \| good	12.611 \| good	18.391 \| good	5.563 \| good	26.087 \| good	0.194 \| good
2025-09-09T06:00:00.000Z	27 \| good	4.647 \| good	20.056 \| good	15.605 \| good	5.652 \| good	28.188 \| good	0.204 \| good
2025-09-09T07:00:00.000Z	25 \| good	3.232 \| good	14.086 \| good	13.931 \| good	5.273 \| good	26.018 \| good	0.203 \| good
2025-09-09T08:00:00.000Z	16 \| good	2.571 \| good	14.452 \| good	8.864 \| good	0.257 \| good	11.435 \| good	0.187 \| good
2025-09-09T09:00:00.000Z	22 \| good	4.335 \| good	14.101 \| good	7.995 \| good	0.265 \| good	14.55 \| good	0.187 \| good
2025-09-09T10:00:00.000Z	22 \| good	4.359 \| good	20.86 \| good	7.995 \| good	0.218 \| good	14.55 \| good	0.187 \| good
2025-09-09T11:00:00.000Z	27 \| good	4.799 \| good	17.914 \| good	1.641 \| good	0.264 \| good	12.799 \| good	0.276 \| good
2025-09-09T12:00:00.000Z	22 \| good	3.571 \| good	15.189 \| good	1.827 \| good	0.238 \| good	11.32 \| good	0.187 \| good
2025-09-09T13:00:00.000Z	12 \| good	2.216 \| good	12.95 \| good	4.457 \| good	0.248 \| good	9.81 \| good	0.187 \| good
2025-09-09T14:00:00.000Z	33 \| good	6.387 \| good	21.967 \| good	10.11 \| good	0.325 \| good	9.046 \| good	0.191 \| good
2025-09-09T15:00:00.000Z	27 \| good	4.565 \| good	15.733 \| good	13.632 \| good	0.445 \| good	5.724 \| good	0.105 \| good
2025-09-09T16:00:00.000Z	27 \| good	4.792 \| good	24.492 \| good	18.818 \| good	0.553 \| good	4.383 \| good	0.103 \| good
2025-09-09T17:00:00.000Z	38 \| good	7.043 \| good	39.466 \| good	21.922 \| good	0.677 \| good	3.914 \| good	0.106 \| good
2025-09-09T18:00:00.000Z	54 \| moderate	8.61 \| good	61.44 \| fine	22.302 \| good	0.275 \| good	3.851 \| good	0.103 \| good
2025-09-09T19:00:00.000Z	38 \| good	7.003 \| good	30.127 \| good	22.918 \| good	0.214 \| good	3.85 \| good	0.103 \| good
2025-09-09T20:00:00.000Z	31 \| good	5.234 \| good	23.558 \| good	32.603 \| good	0.16 \| good	4.835 \| good	0.187 \| good
2025-09-09T21:00:00.000Z	33 \| good	5.877 \| good	21.117 \| good	34.643 \| good	0.232 \| good	3.74 \| good	0.19 \| good
2025-09-09T22:00:00.000Z	33 \| good	6.118 \| good	25.779 \| good	34.882 \| good	0.183 \| good	3.548 \| good	0.19 \| good
2025-09-09T23:00:00.000Z	49 \| good	8.618 \| good	26.469 \| good	34.888 \| good	0.133 \| good	3.387 \| good	0.187 \| good
2025-09-10T00:00:00.000Z	32 \| good	5.062 \| good	26.695 \| good	34.76 \| good	0.143 \| good	3.412 \| good	0.183 \| good
2025-09-10T01:00:00.000Z	31 \| good	4.993 \| good	17.634 \| good	32.709 \| good	0.233 \| good	4.964 \| good	0.2 \| good
2025-09-10T02:00:00.000Z	25 \| good	4.403 \| good	27.313 \| good	27.084 \| good	0.219 \| good	7.88 \| good	0.2 \| good
2025-09-10T03:00:00.000Z	27 \| good	5.025 \| good	19.486 \| good	21.709 \| good	0.214 \| good	10.636 \| good	0.192 \| good
2025-09-10T04:00:00.000Z	22 \| good	3.97 \| good	12.46 \| good	19.56 \| good	0.261 \| good	8.316 \| good	0.105 \| good
2025-09-10T05:00:00.000Z	33 \| good	6.017 \| good	20.401 \| good	18.329 \| good	0.46 \| good	6.159 \| good	0.115 \| good
2025-09-10T06:00:00.000Z	17 \| good	2.137 \| good	12.661 \| good	18.329 \| good	0.377 \| good	8.981 \| good	0.118 \| good
2025-09-10T07:00:00.000Z	22 \| good	4.291 \| good	19.567 \| good	14.607 \| good	0.233 \| good	5.772 \| good	0.115 \| good
2025-09-10T08:00:00.000Z	38 \| good	6.697 \| good	16.744 \| good	11.832 \| good	0.376 \| good	13.718 \| good	0.19 \| good
2025-09-10T09:00:00.000Z	27 \| good	5.199 \| good	16.026 \| good	15.225 \| good	0.314 \| good	8.021 \| good	0.1 \| good
2025-09-10T10:00:00.000Z	27 \| good	5.199 \| good	16.026 \| good	15.225 \| good	0.314 \| good	8.021 \| good	0.1 \| good
2025-09-10T11:00:00.000Z	17 \| good	2.608 \| good	10.365 \| good	17.628 \| good	4.62 \| good	17.33 \| good	0.144 \| good
2025-09-10T12:00:00.000Z	16 \| good	1.471 \| good	5.657 \| good	17.426 \| good	4.203 \| good	14.999 \| good	0.136 \| good
2025-09-10T13:00:00.000Z	16 \| good	1.26 \| good	5.054 \| good	16.854 \| good	3.683 \| good	12.883 \| good	0.135 \| good
2025-09-10T14:00:00.000Z	17 \| good	2.263 \| good	9.144 \| good	17.858 \| good	3.163 \| good	10.767 \| good	0.134 \| good
2025-09-10T15:00:00.000Z	20 \| good	3.016 \| good	12.146 \| good	22.442 \| good	2.643 \| good	8.651 \| good	0.132 \| good
2025-09-10T16:00:00.000Z	25 \| good	3.362 \| good	14.757 \| good	27.347 \| good	2.349 \| good	7.281 \| good	0.128 \| good
2025-09-10T17:00:00.000Z	29 \| good	3.822 \| good	16.373 \| good	31.017 \| good	2.056 \| good	5.911 \| good	0.124 \| good
2025-09-10T18:00:00.000Z	31 \| good	4.943 \| good	21.319 \| good	34.091 \| good	1.763 \| good	4.542 \| good	0.121 \| good
2025-09-10T19:00:00.000Z	38 \| good	5.637 \| good	24.135 \| good	40.73 \| good	1.955 \| good	4.363 \| good	0.121 \| good
2025-09-10T20:00:00.000Z	42 \| good	5.724 \| good	24.964 \| good	45.352 \| good	2.148 \| good	4.184 \| good	0.121 \| good
2025-09-10T21:00:00.000Z	44 \| good	7.744 \| good	34.143 \| good	48.124 \| good	2.34 \| good	4.005 \| good	0.121 \| good
2025-09-10T22:00:00.000Z	44 \| good	7.309 \| good	32.098 \| good	48.431 \| good	2.68 \| good	4.655 \| good	0.123 \| good
2025-09-10T23:00:00.000Z	41 \| good	7.381 \| good	32.795 \| good	44.105 \| good	3.02 \| good	5.305 \| good	0.125 \| good
2025-09-11T00:00:00.000Z	44 \| good	8.1 \| good	35.262 \| good	43.256 \| good	3.36 \| good	5.955 \| good	0.127 \| good
2025-09-11T01:00:00.000Z	34 \| good	4.339 \| good	19.009 \| good	36.886 \| good	3.678 \| good	8.781 \| good	0.133 \| good
2025-09-11T02:00:00.000Z	27 \| good	4.618 \| good	20.337 \| good	29.313 \| good	3.997 \| good	11.607 \| good	0.138 \| good
2025-09-11T03:00:00.000Z	28 \| good	3.062 \| good	12.738 \| good	29.684 \| good	4.315 \| good	14.434 \| good	0.144 \| good
2025-09-11T04:00:00.000Z	22 \| good	2.801 \| good	11.367 \| good	24.259 \| good	4.627 \| good	16.629 \| good	0.149 \| good
2025-09-11T05:00:00.000Z	20 \| good	1.984 \| good	8.142 \| good	22.459 \| good	4.94 \| good	18.825 \| good	0.153 \| good
2025-09-11T06:00:00.000Z	20 \| good	2.725 \| good	11.079 \| good	20.273 \| good	5.252 \| good	21.02 \| good	0.157 \| good
2025-09-11T07:00:00.000Z	21 \| good	1.194 \| good	4.95 \| good	19.106 \| good	5.279 \| good	22.307 \| good	0.162 \| good
2025-09-11T08:00:00.000Z	23 \| good	1.41 \| good	5.468 \| good	17.495 \| good	5.305 \| good	23.593 \| good	0.166 \| good
2025-09-11T09:00:00.000Z	24 \| good	2.363 \| good	9.887 \| good	15.51 \| good	5.331 \| good	24.88 \| good	0.17 \| good
2025-09-11T10:00:00.000Z	23 \| good	2.558 \| good	10.366 \| good	15.074 \| good	5.525 \| good	23.822 \| good	0.165 \| good
2025-09-11T11:00:00.000Z	22 \| good	2.892 \| good	12.056 \| good	15.423 \| good	5.719 \| good	22.764 \| good	0.159 \| good
2025-09-11T12:00:00.000Z	21 \| good	2.7 \| good	11.442 \| good	14.099 \| good	5.914 \| good	21.705 \| good	0.154 \| good
2025-09-11T13:00:00.000Z	18 \| good	2.037 \| good	8.083 \| good	14.377 \| good	5.761 \| good	19.251 \| good	0.159 \| good
2025-09-11T14:00:00.000Z	16 \| good	2.351 \| good	9.915 \| good	15.072 \| good	5.608 \| good	16.796 \| good	0.165 \| good
2025-09-11T15:00:00.000Z	16 \| good	2.97 \| good	12.251 \| good	16.677 \| good	5.456 \| good	14.341 \| good	0.17 \| good
2025-09-11T16:00:00.000Z	22 \| good	3.935 \| good	16.929 \| good	20.889 \| good	4.806 \| good	11.876 \| good	0.159 \| good
2025-09-11T17:00:00.000Z	27 \| good	4.539 \| good	20.059 \| good	25.057 \| good	4.157 \| good	9.411 \| good	0.149 \| good
2025-09-11T18:00:00.000Z	28 \| good	4.587 \| good	20.121 \| good	29.868 \| good	3.507 \| good	6.945 \| good	0.138 \| good
2025-09-11T19:00:00.000Z	34 \| good	4.705 \| good	20.246 \| good	37.083 \| good	3.698 \| good	6.67 \| good	0.137 \| good
2025-09-11T20:00:00.000Z	39 \| good	4.683 \| good	20.272 \| good	41.824 \| good	3.89 \| good	6.394 \| good	0.135 \| good
2025-09-11T21:00:00.000Z	42 \| good	4.455 \| good	19.277 \| good	45.226 \| good	4.081 \| good	6.119 \| good	0.134 \| good
2025-09-11T22:00:00.000Z	41 \| good	3.749 \| good	16.144 \| good	44.399 \| good	4.335 \| good	6.686 \| good	0.135 \| good
2025-09-11T23:00:00.000Z	36 \| good	3.566 \| good	15.825 \| good	39.202 \| good	4.588 \| good	7.253 \| good	0.136 \| good
2025-09-12T00:00:00.000Z	36 \| good	4.908 \| good	21.071 \| good	38.694 \| good	4.842 \| good	7.82 \| good	0.137 \| good
2025-09-12T01:00:00.000Z	32 \| good	4.722 \| good	20.899 \| good	34.837 \| good	5.007 \| good	10.879 \| good	0.145 \| good
2025-09-12T02:00:00.000Z	33 \| good	5.913 \| good	25.684 \| good	29.217 \| good	5.172 \| good	13.938 \| good	0.153 \| good
2025-09-12T03:00:00.000Z	26 \| good	3.334 \| good	14.905 \| good	28.41 \| good	5.337 \| good	16.997 \| good	0.161 \| good
2025-09-12T04:00:00.000Z	23 \| good	3.795 \| good	16.222 \| good	25.443 \| good	5.535 \| good	19.765 \| good	0.169 \| good
2025-09-12T05:00:00.000Z	22 \| good	3.4 \| good	14.919 \| good	23.303 \| good	5.732 \| good	22.534 \| good	0.178 \| good
2025-09-12T06:00:00.000Z	66 \| moderate	17.104 \| fine	18.686 \| good	11.836 \| good	6.012 \| good	25.607 \| good	0.188 \| good
2025-09-12T07:00:00.000Z	25 \| good	3.068 \| good	12.562 \| good	20.202 \| good	5.704 \| good	25.995 \| good	0.191 \| good
2025-09-12T08:00:00.000Z	25 \| good	3.153 \| good	12.804 \| good	19.139 \| good	5.478 \| good	26.688 \| good	0.195 \| good
2025-09-12T09:00:00.000Z	25 \| good	3.245 \| good	14.16 \| good	18.232 \| good	5.252 \| good	27.381 \| good	0.2 \| good
2025-09-12T10:00:00.000Z	25 \| good	2.216 \| good	9.197 \| good	18.08 \| good	5.047 \| good	26.786 \| good	0.196 \| good

West WhittierLos Nietos

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Real-time air quality map: Monitor AQI near West WhittierLos Nietos, California

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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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Frequently asked questions

How frequently does the air quality data for West Whittierlos Nietos, California get updated?

Air quality updates for West Whittierlos Nietos, California are available every hour.

What time in the past 24 hours saw the poorest air quality in West Whittierlos Nietos, California?

West Whittierlos Nietos, California experienced its worst air quality at 06:00:00, 2025-09-09.

When was air quality in West Whittierlos Nietos, California the best over the past 24 hours?

The best air quality in West Whittierlos Nietos, California was observed at 01:00:00 on 2025-09-09.

What is the air quality in West Whittierlos Nietos, California right now?

The air quality in West Whittierlos Nietos, California right now is Good, with an AQI of 27.

What pollutant is most frequently found in West Whittierlos Nietos, California?

In West Whittierlos Nietos, California, PM2.5 is the most frequently found pollutant.

What can I do if the air quality in West Whittierlos Nietos, California is poor?

When air quality in West Whittierlos Nietos, California is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in West Whittierlos Nietos, California right now?

West Whittierlos Nietos, California currently has a PM_2.5 concentration of 5.199 μg/m³.

What is the current level of PM₁₀ in West Whittierlos Nietos, California?

West Whittierlos Nietos, California currently has a PM₁₀ concentration of 16.026 μg/m³.

What is the current level of carbon monoxide (CO) in West Whittierlos Nietos, California?

The current carbon monoxide (CO) level in West Whittierlos Nietos, California is 0.1 ppm.

What is the current level of sulfur dioxide (SO₂) in West Whittierlos Nietos, California?

The current sulfur dioxide (SO₂) concentration in West Whittierlos Nietos, California is 0.314 ppb.

What is the current level of ozone (O₃) in West Whittierlos Nietos, California?

West Whittierlos Nietos, California currently has an ozone (O₃) concentration of 15.225 ppm.

What is the current level of nitrogen dioxide (NO₂) in West Whittierlos Nietos, California?

The current level of nitrogen dioxide (NO₂) in West Whittierlos Nietos, California is 8.021 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-08T11:00:00.000Z	38 \| good	6.912 \| good	20.816 \| good	10.929 \| good	0.299 \| good	15.925 \| good	0.288 \| good
2025-09-08T12:00:00.000Z	38 \| good	6.948 \| good	22.937 \| good	6.393 \| good	0.382 \| good	23.398 \| good	0.294 \| good
2025-09-08T13:00:00.000Z	33 \| good	6.38 \| good	28.187 \| good	4.759 \| good	0.26 \| good	19.153 \| good	0.392 \| good
2025-09-08T14:00:00.000Z	33 \| good	6.445 \| good	23.998 \| good	5.624 \| good	0.303 \| good	18.747 \| good	0.485 \| good
2025-09-08T15:00:00.000Z	33 \| good	5.852 \| good	27.127 \| good	10.52 \| good	0.506 \| good	21.223 \| good	0.548 \| good
2025-09-08T16:00:00.000Z	34 \| good	6.47 \| good	37.235 \| good	20.619 \| good	0.636 \| good	11.007 \| good	0.287 \| good
2025-09-08T17:00:00.000Z	49 \| good	7.558 \| good	53.471 \| good	27.272 \| good	0.609 \| good	8.323 \| good	0.287 \| good
2025-09-08T18:00:00.000Z	56 \| moderate	9.671 \| good	66.022 \| fine	32.679 \| good	0.64 \| good	9.231 \| good	0.284 \| good
2025-09-08T19:00:00.000Z	52 \| moderate	9.58 \| good	33.079 \| good	39.35 \| good	0.517 \| good	8.393 \| good	0.194 \| good
2025-09-08T20:00:00.000Z	52 \| moderate	9.624 \| good	31.413 \| good	44.245 \| good	0.44 \| good	6.023 \| good	0.194 \| good
2025-09-08T21:00:00.000Z	46 \| good	7.598 \| good	38.697 \| good	49.689 \| good	0.305 \| good	6.849 \| good	0.19 \| good
2025-09-08T22:00:00.000Z	43 \| good	6.331 \| good	19.398 \| good	46.473 \| good	0.281 \| good	5.595 \| good	0.19 \| good
2025-09-08T23:00:00.000Z	42 \| good	5.727 \| good	30.774 \| good	45.37 \| good	0.563 \| good	4.444 \| good	0.187 \| good
2025-09-09T00:00:00.000Z	33 \| good	5.624 \| good	23.965 \| good	34.561 \| good	5.784 \| good	10.925 \| good	0.156 \| good
2025-09-09T01:00:00.000Z	26 \| good	4.08 \| good	18.002 \| good	28.46 \| good	5.651 \| good	14.578 \| good	0.162 \| good
2025-09-09T02:00:00.000Z	25 \| good	3.867 \| good	17.136 \| good	26.901 \| good	4.804 \| good	15.831 \| good	0.155 \| good
2025-09-09T03:00:00.000Z	24 \| good	3.771 \| good	16.175 \| good	26.153 \| good	4.749 \| good	19.474 \| good	0.164 \| good
2025-09-09T04:00:00.000Z	23 \| good	3.797 \| good	16.842 \| good	21.17 \| good	5.474 \| good	23.985 \| good	0.184 \| good
2025-09-09T05:00:00.000Z	25 \| good	3.085 \| good	12.611 \| good	18.391 \| good	5.563 \| good	26.087 \| good	0.194 \| good
2025-09-09T06:00:00.000Z	27 \| good	4.647 \| good	20.056 \| good	15.605 \| good	5.652 \| good	28.188 \| good	0.204 \| good
2025-09-09T07:00:00.000Z	25 \| good	3.232 \| good	14.086 \| good	13.931 \| good	5.273 \| good	26.018 \| good	0.203 \| good
2025-09-09T08:00:00.000Z	16 \| good	2.571 \| good	14.452 \| good	8.864 \| good	0.257 \| good	11.435 \| good	0.187 \| good
2025-09-09T09:00:00.000Z	22 \| good	4.335 \| good	14.101 \| good	7.995 \| good	0.265 \| good	14.55 \| good	0.187 \| good
2025-09-09T10:00:00.000Z	22 \| good	4.359 \| good	20.86 \| good	7.995 \| good	0.218 \| good	14.55 \| good	0.187 \| good
2025-09-09T11:00:00.000Z	27 \| good	4.799 \| good	17.914 \| good	1.641 \| good	0.264 \| good	12.799 \| good	0.276 \| good
2025-09-09T12:00:00.000Z	22 \| good	3.571 \| good	15.189 \| good	1.827 \| good	0.238 \| good	11.32 \| good	0.187 \| good
2025-09-09T13:00:00.000Z	12 \| good	2.216 \| good	12.95 \| good	4.457 \| good	0.248 \| good	9.81 \| good	0.187 \| good
2025-09-09T14:00:00.000Z	33 \| good	6.387 \| good	21.967 \| good	10.11 \| good	0.325 \| good	9.046 \| good	0.191 \| good
2025-09-09T15:00:00.000Z	27 \| good	4.565 \| good	15.733 \| good	13.632 \| good	0.445 \| good	5.724 \| good	0.105 \| good
2025-09-09T16:00:00.000Z	27 \| good	4.792 \| good	24.492 \| good	18.818 \| good	0.553 \| good	4.383 \| good	0.103 \| good
2025-09-09T17:00:00.000Z	38 \| good	7.043 \| good	39.466 \| good	21.922 \| good	0.677 \| good	3.914 \| good	0.106 \| good
2025-09-09T18:00:00.000Z	54 \| moderate	8.61 \| good	61.44 \| fine	22.302 \| good	0.275 \| good	3.851 \| good	0.103 \| good
2025-09-09T19:00:00.000Z	38 \| good	7.003 \| good	30.127 \| good	22.918 \| good	0.214 \| good	3.85 \| good	0.103 \| good
2025-09-09T20:00:00.000Z	31 \| good	5.234 \| good	23.558 \| good	32.603 \| good	0.16 \| good	4.835 \| good	0.187 \| good
2025-09-09T21:00:00.000Z	33 \| good	5.877 \| good	21.117 \| good	34.643 \| good	0.232 \| good	3.74 \| good	0.19 \| good
2025-09-09T22:00:00.000Z	33 \| good	6.118 \| good	25.779 \| good	34.882 \| good	0.183 \| good	3.548 \| good	0.19 \| good
2025-09-09T23:00:00.000Z	49 \| good	8.618 \| good	26.469 \| good	34.888 \| good	0.133 \| good	3.387 \| good	0.187 \| good
2025-09-10T00:00:00.000Z	32 \| good	5.062 \| good	26.695 \| good	34.76 \| good	0.143 \| good	3.412 \| good	0.183 \| good
2025-09-10T01:00:00.000Z	31 \| good	4.993 \| good	17.634 \| good	32.709 \| good	0.233 \| good	4.964 \| good	0.2 \| good
2025-09-10T02:00:00.000Z	25 \| good	4.403 \| good	27.313 \| good	27.084 \| good	0.219 \| good	7.88 \| good	0.2 \| good
2025-09-10T03:00:00.000Z	27 \| good	5.025 \| good	19.486 \| good	21.709 \| good	0.214 \| good	10.636 \| good	0.192 \| good
2025-09-10T04:00:00.000Z	22 \| good	3.97 \| good	12.46 \| good	19.56 \| good	0.261 \| good	8.316 \| good	0.105 \| good
2025-09-10T05:00:00.000Z	33 \| good	6.017 \| good	20.401 \| good	18.329 \| good	0.46 \| good	6.159 \| good	0.115 \| good
2025-09-10T06:00:00.000Z	17 \| good	2.137 \| good	12.661 \| good	18.329 \| good	0.377 \| good	8.981 \| good	0.118 \| good
2025-09-10T07:00:00.000Z	22 \| good	4.291 \| good	19.567 \| good	14.607 \| good	0.233 \| good	5.772 \| good	0.115 \| good
2025-09-10T08:00:00.000Z	38 \| good	6.697 \| good	16.744 \| good	11.832 \| good	0.376 \| good	13.718 \| good	0.19 \| good
2025-09-10T09:00:00.000Z	27 \| good	5.199 \| good	16.026 \| good	15.225 \| good	0.314 \| good	8.021 \| good	0.1 \| good
2025-09-10T10:00:00.000Z	27 \| good	5.199 \| good	16.026 \| good	15.225 \| good	0.314 \| good	8.021 \| good	0.1 \| good
2025-09-10T11:00:00.000Z	17 \| good	2.608 \| good	10.365 \| good	17.628 \| good	4.62 \| good	17.33 \| good	0.144 \| good
2025-09-10T12:00:00.000Z	16 \| good	1.471 \| good	5.657 \| good	17.426 \| good	4.203 \| good	14.999 \| good	0.136 \| good
2025-09-10T13:00:00.000Z	16 \| good	1.26 \| good	5.054 \| good	16.854 \| good	3.683 \| good	12.883 \| good	0.135 \| good
2025-09-10T14:00:00.000Z	17 \| good	2.263 \| good	9.144 \| good	17.858 \| good	3.163 \| good	10.767 \| good	0.134 \| good
2025-09-10T15:00:00.000Z	20 \| good	3.016 \| good	12.146 \| good	22.442 \| good	2.643 \| good	8.651 \| good	0.132 \| good
2025-09-10T16:00:00.000Z	25 \| good	3.362 \| good	14.757 \| good	27.347 \| good	2.349 \| good	7.281 \| good	0.128 \| good
2025-09-10T17:00:00.000Z	29 \| good	3.822 \| good	16.373 \| good	31.017 \| good	2.056 \| good	5.911 \| good	0.124 \| good
2025-09-10T18:00:00.000Z	31 \| good	4.943 \| good	21.319 \| good	34.091 \| good	1.763 \| good	4.542 \| good	0.121 \| good
2025-09-10T19:00:00.000Z	38 \| good	5.637 \| good	24.135 \| good	40.73 \| good	1.955 \| good	4.363 \| good	0.121 \| good
2025-09-10T20:00:00.000Z	42 \| good	5.724 \| good	24.964 \| good	45.352 \| good	2.148 \| good	4.184 \| good	0.121 \| good
2025-09-10T21:00:00.000Z	44 \| good	7.744 \| good	34.143 \| good	48.124 \| good	2.34 \| good	4.005 \| good	0.121 \| good
2025-09-10T22:00:00.000Z	44 \| good	7.309 \| good	32.098 \| good	48.431 \| good	2.68 \| good	4.655 \| good	0.123 \| good
2025-09-10T23:00:00.000Z	41 \| good	7.381 \| good	32.795 \| good	44.105 \| good	3.02 \| good	5.305 \| good	0.125 \| good
2025-09-11T00:00:00.000Z	44 \| good	8.1 \| good	35.262 \| good	43.256 \| good	3.36 \| good	5.955 \| good	0.127 \| good
2025-09-11T01:00:00.000Z	34 \| good	4.339 \| good	19.009 \| good	36.886 \| good	3.678 \| good	8.781 \| good	0.133 \| good
2025-09-11T02:00:00.000Z	27 \| good	4.618 \| good	20.337 \| good	29.313 \| good	3.997 \| good	11.607 \| good	0.138 \| good
2025-09-11T03:00:00.000Z	28 \| good	3.062 \| good	12.738 \| good	29.684 \| good	4.315 \| good	14.434 \| good	0.144 \| good
2025-09-11T04:00:00.000Z	22 \| good	2.801 \| good	11.367 \| good	24.259 \| good	4.627 \| good	16.629 \| good	0.149 \| good
2025-09-11T05:00:00.000Z	20 \| good	1.984 \| good	8.142 \| good	22.459 \| good	4.94 \| good	18.825 \| good	0.153 \| good
2025-09-11T06:00:00.000Z	20 \| good	2.725 \| good	11.079 \| good	20.273 \| good	5.252 \| good	21.02 \| good	0.157 \| good
2025-09-11T07:00:00.000Z	21 \| good	1.194 \| good	4.95 \| good	19.106 \| good	5.279 \| good	22.307 \| good	0.162 \| good
2025-09-11T08:00:00.000Z	23 \| good	1.41 \| good	5.468 \| good	17.495 \| good	5.305 \| good	23.593 \| good	0.166 \| good
2025-09-11T09:00:00.000Z	24 \| good	2.363 \| good	9.887 \| good	15.51 \| good	5.331 \| good	24.88 \| good	0.17 \| good
2025-09-11T10:00:00.000Z	23 \| good	2.558 \| good	10.366 \| good	15.074 \| good	5.525 \| good	23.822 \| good	0.165 \| good
2025-09-11T11:00:00.000Z	22 \| good	2.892 \| good	12.056 \| good	15.423 \| good	5.719 \| good	22.764 \| good	0.159 \| good
2025-09-11T12:00:00.000Z	21 \| good	2.7 \| good	11.442 \| good	14.099 \| good	5.914 \| good	21.705 \| good	0.154 \| good
2025-09-11T13:00:00.000Z	18 \| good	2.037 \| good	8.083 \| good	14.377 \| good	5.761 \| good	19.251 \| good	0.159 \| good
2025-09-11T14:00:00.000Z	16 \| good	2.351 \| good	9.915 \| good	15.072 \| good	5.608 \| good	16.796 \| good	0.165 \| good
2025-09-11T15:00:00.000Z	16 \| good	2.97 \| good	12.251 \| good	16.677 \| good	5.456 \| good	14.341 \| good	0.17 \| good
2025-09-11T16:00:00.000Z	22 \| good	3.935 \| good	16.929 \| good	20.889 \| good	4.806 \| good	11.876 \| good	0.159 \| good
2025-09-11T17:00:00.000Z	27 \| good	4.539 \| good	20.059 \| good	25.057 \| good	4.157 \| good	9.411 \| good	0.149 \| good
2025-09-11T18:00:00.000Z	28 \| good	4.587 \| good	20.121 \| good	29.868 \| good	3.507 \| good	6.945 \| good	0.138 \| good
2025-09-11T19:00:00.000Z	34 \| good	4.705 \| good	20.246 \| good	37.083 \| good	3.698 \| good	6.67 \| good	0.137 \| good
2025-09-11T20:00:00.000Z	39 \| good	4.683 \| good	20.272 \| good	41.824 \| good	3.89 \| good	6.394 \| good	0.135 \| good
2025-09-11T21:00:00.000Z	42 \| good	4.455 \| good	19.277 \| good	45.226 \| good	4.081 \| good	6.119 \| good	0.134 \| good
2025-09-11T22:00:00.000Z	41 \| good	3.749 \| good	16.144 \| good	44.399 \| good	4.335 \| good	6.686 \| good	0.135 \| good
2025-09-11T23:00:00.000Z	36 \| good	3.566 \| good	15.825 \| good	39.202 \| good	4.588 \| good	7.253 \| good	0.136 \| good
2025-09-12T00:00:00.000Z	36 \| good	4.908 \| good	21.071 \| good	38.694 \| good	4.842 \| good	7.82 \| good	0.137 \| good
2025-09-12T01:00:00.000Z	32 \| good	4.722 \| good	20.899 \| good	34.837 \| good	5.007 \| good	10.879 \| good	0.145 \| good
2025-09-12T02:00:00.000Z	33 \| good	5.913 \| good	25.684 \| good	29.217 \| good	5.172 \| good	13.938 \| good	0.153 \| good
2025-09-12T03:00:00.000Z	26 \| good	3.334 \| good	14.905 \| good	28.41 \| good	5.337 \| good	16.997 \| good	0.161 \| good
2025-09-12T04:00:00.000Z	23 \| good	3.795 \| good	16.222 \| good	25.443 \| good	5.535 \| good	19.765 \| good	0.169 \| good
2025-09-12T05:00:00.000Z	22 \| good	3.4 \| good	14.919 \| good	23.303 \| good	5.732 \| good	22.534 \| good	0.178 \| good
2025-09-12T06:00:00.000Z	66 \| moderate	17.104 \| fine	18.686 \| good	11.836 \| good	6.012 \| good	25.607 \| good	0.188 \| good
2025-09-12T07:00:00.000Z	25 \| good	3.068 \| good	12.562 \| good	20.202 \| good	5.704 \| good	25.995 \| good	0.191 \| good
2025-09-12T08:00:00.000Z	25 \| good	3.153 \| good	12.804 \| good	19.139 \| good	5.478 \| good	26.688 \| good	0.195 \| good
2025-09-12T09:00:00.000Z	25 \| good	3.245 \| good	14.16 \| good	18.232 \| good	5.252 \| good	27.381 \| good	0.2 \| good
2025-09-12T10:00:00.000Z	25 \| good	2.216 \| good	9.197 \| good	18.08 \| good	5.047 \| good	26.786 \| good	0.196 \| good

Current air quality index in West WhittierLos Nietos, California today

Common air pollutants in West WhittierLos Nietos, California

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live West WhittierLos Nietos, California air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near West WhittierLos Nietos, California

Air quality in nearby cities

West WhittierLos Nietos, California

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Whittier, California

Santa Fe Springs, California

South Whittier, California

Montebello, California

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Frequently asked questions

How frequently does the air quality data for West Whittierlos Nietos, California get updated?

What time in the past 24 hours saw the poorest air quality in West Whittierlos Nietos, California?

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What can I do if the air quality in West Whittierlos Nietos, California is poor?

What is the PM2.5 concentration in West Whittierlos Nietos, California right now?

What is the current level of PM10 in West Whittierlos Nietos, California?

What is the current level of carbon monoxide (CO) in West Whittierlos Nietos, California?

What is the current level of sulfur dioxide (SO2) in West Whittierlos Nietos, California?

What is the current level of ozone (O3) in West Whittierlos Nietos, California?

What is the current level of nitrogen dioxide (NO2) in West Whittierlos Nietos, 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 West Whittierlos Nietos, California right now?

What is the current level of PM₁₀ in West Whittierlos Nietos, California?

What is the current level of sulfur dioxide (SO₂) in West Whittierlos Nietos, California?

What is the current level of ozone (O₃) in West Whittierlos Nietos, California?

What is the current level of nitrogen dioxide (NO₂) in West Whittierlos Nietos, California?