What is the current concentration of PM10 in Los Alamos, New Mexico?

The current PM10 concentration at Los Alamos, New Mexico is 16.24 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Los Alamos, New Mexico?

The current sulfur dioxide (SO2) concentration at Los Alamos, New Mexico is 0.207 ppb.

What is the current concentration of ozone (O3) in Los Alamos, New Mexico?

The current ozone (O3) concentration at Los Alamos, New Mexico is 37.673 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Los Alamos, New Mexico?

The current nitrogen dioxide (NO2) concentration at Los Alamos, New Mexico is 4.868 ppb.

Los Alamos, New Mexico live air quality index now

Name: Live air pollution levels in Los Alamos, New Mexico today
Creator: Ambee

Stay updated with real-time air quality in Los Alamos, New Mexico 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

Los Alamos, New Mexico

Last updated: ... (Local time)

Major air pollutants in Los Alamos, New Mexico

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.46 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

16.24 μg/m³

155

255

425

605+

Ozone (O₃)

37.67 ppb

201

201+

Sulfur Dioxide (SO₂)

0.21 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.87 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.19 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Los Alamos, New Mexico

Get Live Pollen Counts

Los Alamos, New Mexico

Scroll To Air Quality Map

Track live Los Alamos, New Mexico air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T07:00:00.000Z	36 \| good	1.874 \| good	4.939 \| good	39.099 \| good	0.365 \| good	5.446 \| good	0.49 \| good
2025-10-20T08:00:00.000Z	37 \| good	1.528 \| good	17.774 \| good	39.8 \| good	0.569 \| good	4.439 \| good	0.71 \| good
2025-10-20T09:00:00.000Z	32 \| good	2.395 \| good	5.51 \| good	35.471 \| good	1.055 \| good	6.542 \| good	0.3 \| good
2025-10-20T10:00:00.000Z	33 \| good	1.744 \| good	4.535 \| good	35.548 \| good	0.566 \| good	6.753 \| good	0.29 \| good
2025-10-20T11:00:00.000Z	40 \| good	2.076 \| good	5.63 \| good	42.65 \| good	0.48 \| good	9.323 \| good	0.222 \| good
2025-10-20T12:00:00.000Z	39 \| good	1.567 \| good	11.757 \| good	41.655 \| good	0.33 \| good	11.373 \| good	0.215 \| good
2025-10-20T13:00:00.000Z	40 \| good	1.78 \| good	7.984 \| good	43.318 \| good	0.356 \| good	9.708 \| good	0.223 \| good
2025-10-20T14:00:00.000Z	44 \| good	2.418 \| good	8.783 \| good	47.106 \| good	0.364 \| good	11.698 \| good	0.382 \| good
2025-10-20T15:00:00.000Z	38 \| good	3.997 \| good	29.218 \| good	41.151 \| good	0.742 \| good	9.358 \| good	0.95 \| good
2025-10-20T16:00:00.000Z	35 \| good	3.936 \| good	12.775 \| good	37.953 \| good	0.494 \| good	11.431 \| good	0.4 \| good
2025-10-20T17:00:00.000Z	38 \| good	6.8 \| good	18.734 \| good	31.226 \| good	0.852 \| good	13.71 \| good	0.4 \| good
2025-10-20T18:00:00.000Z	53 \| moderate	7.476 \| good	59.601 \| fine	38.162 \| good	1.374 \| good	9.146 \| good	0.235 \| good
2025-10-20T19:00:00.000Z	42 \| good	4.634 \| good	21.508 \| good	44.897 \| good	0.454 \| good	4.917 \| good	0.179 \| good
2025-10-20T20:00:00.000Z	42 \| good	4.737 \| good	20.157 \| good	44.617 \| good	0.398 \| good	3.149 \| good	0.179 \| good
2025-10-20T21:00:00.000Z	44 \| good	3.311 \| good	16.325 \| good	46.985 \| good	0.374 \| good	2.845 \| good	0.179 \| good
2025-10-20T22:00:00.000Z	42 \| good	2.15 \| good	21.844 \| good	45.41 \| good	0.353 \| good	3.743 \| good	0.192 \| good
2025-10-20T23:00:00.000Z	41 \| good	2.096 \| good	13.545 \| good	43.953 \| good	0.344 \| good	1.959 \| good	0.192 \| good
2025-10-21T00:00:00.000Z	44 \| good	2.086 \| good	13.362 \| good	47.401 \| good	0.261 \| good	1.98 \| good	0.192 \| good
2025-10-21T01:00:00.000Z	38 \| good	2.493 \| good	16.099 \| good	40.734 \| good	0.242 \| good	3.174 \| good	0.192 \| good
2025-10-21T02:00:00.000Z	35 \| good	4.36 \| good	26.596 \| good	37.679 \| good	0.209 \| good	5.068 \| good	0.19 \| good
2025-10-21T03:00:00.000Z	26 \| good	0.787 \| good	3.043 \| good	28.389 \| good	0.679 \| good	3.086 \| good	0.129 \| good
2025-10-21T04:00:00.000Z	36 \| good	1.198 \| good	5.31 \| good	39.456 \| good	0.233 \| good	6.798 \| good	0.369 \| good
2025-10-21T05:00:00.000Z	38 \| good	1.811 \| good	11.422 \| good	41.35 \| good	0.493 \| good	6.055 \| good	0.379 \| good
2025-10-21T06:00:00.000Z	34 \| good	1.609 \| good	12.552 \| good	37.239 \| good	0.301 \| good	6.262 \| good	0.269 \| good
2025-10-21T07:00:00.000Z	35 \| good	1.667 \| good	5.449 \| good	38.109 \| good	0.224 \| good	4.53 \| good	0.3 \| good
2025-10-21T08:00:00.000Z	38 \| good	2.815 \| good	11.893 \| good	40.655 \| good	0.38 \| good	4.462 \| good	0.257 \| good
2025-10-21T09:00:00.000Z	38 \| good	3.033 \| good	12.788 \| good	40.804 \| good	0.438 \| good	6.476 \| good	0.257 \| good
2025-10-21T10:00:00.000Z	37 \| good	3.634 \| good	17.162 \| good	39.733 \| good	0.417 \| good	6.018 \| good	0.2 \| good
2025-10-21T11:00:00.000Z	36 \| good	2.745 \| good	11.711 \| good	39.16 \| good	0.522 \| good	4.617 \| good	0.147 \| good
2025-10-21T12:00:00.000Z	28 \| good	3.961 \| good	15.682 \| good	29.505 \| good	3.45 \| good	8.334 \| good	0.223 \| good
2025-10-21T13:00:00.000Z	31 \| good	2.816 \| good	12.13 \| good	32.597 \| good	0.532 \| good	9.269 \| good	0.204 \| good
2025-10-21T14:00:00.000Z	31 \| good	3.168 \| good	14.764 \| good	32.594 \| good	0.904 \| good	11.845 \| good	1.661 \| good
2025-10-21T15:00:00.000Z	31 \| good	2.187 \| good	16.318 \| good	33.001 \| good	1.22 \| good	16.91 \| good	0.385 \| good
2025-10-21T16:00:00.000Z	35 \| good	2.663 \| good	18.158 \| good	38.357 \| good	0.659 \| good	10.179 \| good	0.204 \| good
2025-10-21T17:00:00.000Z	46 \| good	6.06 \| good	50.316 \| good	34.42 \| good	0.597 \| good	9.584 \| good	0.169 \| good
2025-10-21T18:00:00.000Z	33 \| good	5.944 \| good	30.934 \| good	36.334 \| good	0.726 \| good	5.57 \| good	0.145 \| good
2025-10-21T19:00:00.000Z	32 \| good	4.48 \| good	22.7 \| good	35.404 \| good	0.298 \| good	4.388 \| good	0.135 \| good
2025-10-21T20:00:00.000Z	34 \| good	4.815 \| good	28.545 \| good	36.632 \| good	0.481 \| good	3.379 \| good	0.186 \| good
2025-10-21T21:00:00.000Z	38 \| good	4.303 \| good	21.24 \| good	41.467 \| good	0.393 \| good	2.944 \| good	0.209 \| good
2025-10-21T22:00:00.000Z	40 \| good	4.417 \| good	19.115 \| good	42.549 \| good	0.311 \| good	2.583 \| good	0.147 \| good
2025-10-21T23:00:00.000Z	41 \| good	3.594 \| good	17.531 \| good	44.192 \| good	0.267 \| good	2.952 \| good	0.147 \| good
2025-10-22T00:00:00.000Z	43 \| good	5.128 \| good	28.437 \| good	45.77 \| good	0.353 \| good	3.899 \| good	0.167 \| good
2025-10-22T01:00:00.000Z	39 \| good	3.419 \| good	22.901 \| good	41.524 \| good	0.288 \| good	5.344 \| good	0.294 \| good
2025-10-22T02:00:00.000Z	38 \| good	2.572 \| good	25.602 \| good	41.234 \| good	0.449 \| good	7.478 \| good	0.412 \| good
2025-10-22T03:00:00.000Z	24 \| good	0.538 \| good	1.918 \| good	26.336 \| good	0.565 \| good	4.98 \| good	0.158 \| good
2025-10-22T04:00:00.000Z	35 \| good	3.357 \| good	18.324 \| good	37.637 \| good	0.327 \| good	8.378 \| good	0.477 \| good
2025-10-22T05:00:00.000Z	38 \| good	3.224 \| good	24.677 \| good	40.69 \| good	0.258 \| good	6.27 \| good	0.18 \| good
2025-10-22T06:00:00.000Z	35 \| good	3.461 \| good	16.24 \| good	37.673 \| good	0.207 \| good	4.868 \| good	0.194 \| good
2025-10-22T06:00:00.000Z	35 \| good	3.461 \| good	16.24 \| good	37.673 \| good	0.207 \| good	4.868 \| good	0.194 \| good
2025-10-22T07:00:00.000Z	31 \| good	0.768 \| good	3.235 \| good	34.212 \| good	0.494 \| good	5.193 \| good	0.157 \| good
2025-10-22T08:00:00.000Z	31 \| good	0.456 \| good	1.906 \| good	34.297 \| good	0.439 \| good	4.844 \| good	0.151 \| good
2025-10-22T09:00:00.000Z	31 \| good	0.497 \| good	2.132 \| good	32.814 \| good	0.384 \| good	4.495 \| good	0.145 \| good
2025-10-22T10:00:00.000Z	27 \| good	0.584 \| good	2.094 \| good	29.169 \| good	0.344 \| good	4.167 \| good	0.14 \| good
2025-10-22T11:00:00.000Z	27 \| good	0.536 \| good	2 \| good	29.162 \| good	0.305 \| good	3.839 \| good	0.135 \| good
2025-10-22T12:00:00.000Z	26 \| good	0.55 \| good	2.021 \| good	27.836 \| good	0.265 \| good	3.511 \| good	0.13 \| good
2025-10-22T13:00:00.000Z	26 \| good	0.692 \| good	2.271 \| good	27.783 \| good	0.276 \| good	3.504 \| good	0.138 \| good
2025-10-22T14:00:00.000Z	25 \| good	0.696 \| good	2.132 \| good	27.417 \| good	0.287 \| good	3.497 \| good	0.146 \| good
2025-10-22T15:00:00.000Z	28 \| good	0.885 \| good	3.295 \| good	29.823 \| good	0.297 \| good	3.491 \| good	0.153 \| good
2025-10-22T16:00:00.000Z	30 \| good	0.795 \| good	3.107 \| good	31.861 \| good	0.37 \| good	2.571 \| good	0.138 \| good
2025-10-22T17:00:00.000Z	32 \| good	2.478 \| good	10.504 \| good	34.989 \| good	0.443 \| good	1.652 \| good	0.123 \| good
2025-10-22T18:00:00.000Z	35 \| good	1.869 \| good	7.441 \| good	38.3 \| good	0.515 \| good	0.733 \| good	0.108 \| good
2025-10-22T19:00:00.000Z	36 \| good	2.389 \| good	9.692 \| good	39.139 \| good	0.459 \| good	0.65 \| good	0.106 \| good
2025-10-22T20:00:00.000Z	36 \| good	2.938 \| good	12.279 \| good	39.066 \| good	0.402 \| good	0.568 \| good	0.103 \| good
2025-10-22T21:00:00.000Z	37 \| good	1.359 \| good	5.18 \| good	39.565 \| good	0.346 \| good	0.486 \| good	0.101 \| good
2025-10-22T22:00:00.000Z	37 \| good	1.479 \| good	6.191 \| good	40.09 \| good	0.353 \| good	0.832 \| good	0.104 \| good
2025-10-22T23:00:00.000Z	37 \| good	1.505 \| good	6.334 \| good	39.994 \| good	0.36 \| good	1.177 \| good	0.108 \| good
2025-10-23T00:00:00.000Z	31 \| good	1.258 \| good	5.188 \| good	34.109 \| good	0.367 \| good	1.523 \| good	0.111 \| good
2025-10-23T01:00:00.000Z	25 \| good	1.628 \| good	6.728 \| good	26.903 \| good	0.393 \| good	2.386 \| good	0.121 \| good
2025-10-23T02:00:00.000Z	21 \| good	1.198 \| good	5.218 \| good	22.968 \| good	0.419 \| good	3.249 \| good	0.132 \| good
2025-10-23T03:00:00.000Z	20 \| good	1.125 \| good	4.493 \| good	21.823 \| good	0.445 \| good	4.111 \| good	0.142 \| good
2025-10-23T04:00:00.000Z	22 \| good	0.75 \| good	3.038 \| good	23.746 \| good	0.446 \| good	4.299 \| good	0.143 \| good
2025-10-23T05:00:00.000Z	24 \| good	0.754 \| good	3.015 \| good	26.213 \| good	0.446 \| good	4.487 \| good	0.144 \| good
2025-10-23T06:00:00.000Z	25 \| good	1.28 \| good	5.521 \| good	27.132 \| good	0.447 \| good	4.675 \| good	0.145 \| good
2025-10-23T07:00:00.000Z	26 \| good	1.164 \| good	4.455 \| good	27.725 \| good	0.425 \| good	4.474 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	27 \| good	0.885 \| good	3.396 \| good	29.029 \| good	0.404 \| good	4.272 \| good	0.137 \| good
2025-10-23T09:00:00.000Z	28 \| good	0.803 \| good	3.173 \| good	29.728 \| good	0.383 \| good	4.071 \| good	0.133 \| good
2025-10-23T10:00:00.000Z	28 \| good	1.394 \| good	5.242 \| good	29.771 \| good	0.36 \| good	4.13 \| good	0.131 \| good
2025-10-23T11:00:00.000Z	26 \| good	2.196 \| good	9.111 \| good	27.643 \| good	0.336 \| good	4.189 \| good	0.129 \| good
2025-10-23T12:00:00.000Z	23 \| good	2.303 \| good	9.258 \| good	24.702 \| good	0.313 \| good	4.248 \| good	0.127 \| good
2025-10-23T13:00:00.000Z	22 \| good	0.975 \| good	3.976 \| good	24.352 \| good	0.298 \| good	3.969 \| good	0.13 \| good
2025-10-23T14:00:00.000Z	24 \| good	1.866 \| good	7.394 \| good	25.675 \| good	0.283 \| good	3.691 \| good	0.133 \| good
2025-10-23T15:00:00.000Z	30 \| good	2.41 \| good	10.115 \| good	31.908 \| good	0.269 \| good	3.413 \| good	0.136 \| good
2025-10-23T16:00:00.000Z	35 \| good	1.171 \| good	4.999 \| good	38.08 \| good	0.27 \| good	2.412 \| good	0.123 \| good
2025-10-23T17:00:00.000Z	35 \| good	2.284 \| good	9.225 \| good	37.77 \| good	0.27 \| good	1.412 \| good	0.11 \| good
2025-10-23T18:00:00.000Z	38 \| good	1.09 \| good	4.182 \| good	40.704 \| good	0.271 \| good	0.411 \| good	0.097 \| good
2025-10-23T19:00:00.000Z	41 \| good	2.554 \| good	10.266 \| good	44.339 \| good	0.261 \| good	0.388 \| good	0.097 \| good
2025-10-23T20:00:00.000Z	42 \| good	2.557 \| good	10.211 \| good	44.709 \| good	0.251 \| good	0.365 \| good	0.097 \| good
2025-10-23T21:00:00.000Z	40 \| good	0.88 \| good	3.197 \| good	43.332 \| good	0.241 \| good	0.341 \| good	0.097 \| good
2025-10-23T22:00:00.000Z	41 \| good	0.857 \| good	3.177 \| good	44.042 \| good	0.211 \| good	0.611 \| good	0.1 \| good
2025-10-23T23:00:00.000Z	41 \| good	0.174 \| good	0.109 \| good	44.473 \| good	0.182 \| good	0.881 \| good	0.103 \| good
2025-10-24T00:00:00.000Z	39 \| good	0.489 \| good	2 \| good	41.597 \| good	0.153 \| good	1.15 \| good	0.106 \| good
2025-10-24T01:00:00.000Z	39 \| good	0.572 \| good	2.161 \| good	41.57 \| good	0.153 \| good	1.492 \| good	0.109 \| good
2025-10-24T02:00:00.000Z	38 \| good	0.592 \| good	2.029 \| good	40.963 \| good	0.153 \| good	1.833 \| good	0.113 \| good
2025-10-24T03:00:00.000Z	34 \| good	0.632 \| good	2.09 \| good	37.08 \| good	0.153 \| good	2.175 \| good	0.117 \| good
2025-10-24T04:00:00.000Z	33 \| good	0.561 \| good	2 \| good	35.955 \| good	0.127 \| good	2.608 \| good	0.121 \| good
2025-10-24T05:00:00.000Z	35 \| good	0.52 \| good	2 \| good	37.715 \| good	0.1 \| good	3.04 \| good	0.126 \| good
2025-10-24T06:00:00.000Z	33 \| good	6.269 \| good	6.578 \| good	33.279 \| good	0.075 \| good	3.47 \| good	0.131 \| good

Los Alamos

Get reliable air quality data to drive your business

Los Alamos, New Mexico air quality map: Track AQI near you

0.11ppm

How accurate is New Mexico, USA air quality data?

Air quality data and pollutant measurements for New Mexico, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

Frequently asked questions

How often is the air quality data for Los Alamos, New Mexico updated?

The air quality for Los Alamos, New Mexico is updated every hour.

When was the worst air quality at Los Alamos, New Mexico in the last 24 hrs?

The worst air quality in Los Alamos, New Mexico in the last 24 hours was observed at 05:00:00 on 2025-10-21.

When was the best air quality at Los Alamos, New Mexico in the last 24 hrs?

In the last 24 hrs, the best air quality in Los Alamos, New Mexico was observed at 03:00:00 on 2025-10-22.

What is the current air quality in Los Alamos, New Mexico?

The current air quality in Los Alamos, New Mexico is 35, categorized as Good based on real-time data.

What pollutant is the most common in Los Alamos, New Mexico?

The most common pollutant in Los Alamos, New Mexico is O3.

What should I do if the air quality in Los Alamos, New Mexico is poor?

If the air quality in Los Alamos, New Mexico is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Los Alamos, New Mexico?

The current PM_2.5 concentration at Los Alamos, New Mexico is 3.461 μg/m³.

What is the current concentration of PM₁₀ in Los Alamos, New Mexico?

The current PM₁₀ concentration at Los Alamos, New Mexico is 16.24 μg/m³.

What is the current concentration of carbon monoxide (CO) in Los Alamos, New Mexico?

The current carbon monoxide (CO) concentration at Los Alamos, New Mexico is 0.194 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Los Alamos, New Mexico?

The current sulfur dioxide (SO₂) concentration at Los Alamos, New Mexico is 0.207 ppb.

What is the current concentration of ozone (O₃) in Los Alamos, New Mexico?

The current ozone (O₃) concentration at Los Alamos, New Mexico is 37.673 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Los Alamos, New Mexico?

The current nitrogen dioxide (NO₂) concentration at Los Alamos, New Mexico is 4.868 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T07:00:00.000Z	36 \| good	1.874 \| good	4.939 \| good	39.099 \| good	0.365 \| good	5.446 \| good	0.49 \| good
2025-10-20T08:00:00.000Z	37 \| good	1.528 \| good	17.774 \| good	39.8 \| good	0.569 \| good	4.439 \| good	0.71 \| good
2025-10-20T09:00:00.000Z	32 \| good	2.395 \| good	5.51 \| good	35.471 \| good	1.055 \| good	6.542 \| good	0.3 \| good
2025-10-20T10:00:00.000Z	33 \| good	1.744 \| good	4.535 \| good	35.548 \| good	0.566 \| good	6.753 \| good	0.29 \| good
2025-10-20T11:00:00.000Z	40 \| good	2.076 \| good	5.63 \| good	42.65 \| good	0.48 \| good	9.323 \| good	0.222 \| good
2025-10-20T12:00:00.000Z	39 \| good	1.567 \| good	11.757 \| good	41.655 \| good	0.33 \| good	11.373 \| good	0.215 \| good
2025-10-20T13:00:00.000Z	40 \| good	1.78 \| good	7.984 \| good	43.318 \| good	0.356 \| good	9.708 \| good	0.223 \| good
2025-10-20T14:00:00.000Z	44 \| good	2.418 \| good	8.783 \| good	47.106 \| good	0.364 \| good	11.698 \| good	0.382 \| good
2025-10-20T15:00:00.000Z	38 \| good	3.997 \| good	29.218 \| good	41.151 \| good	0.742 \| good	9.358 \| good	0.95 \| good
2025-10-20T16:00:00.000Z	35 \| good	3.936 \| good	12.775 \| good	37.953 \| good	0.494 \| good	11.431 \| good	0.4 \| good
2025-10-20T17:00:00.000Z	38 \| good	6.8 \| good	18.734 \| good	31.226 \| good	0.852 \| good	13.71 \| good	0.4 \| good
2025-10-20T18:00:00.000Z	53 \| moderate	7.476 \| good	59.601 \| fine	38.162 \| good	1.374 \| good	9.146 \| good	0.235 \| good
2025-10-20T19:00:00.000Z	42 \| good	4.634 \| good	21.508 \| good	44.897 \| good	0.454 \| good	4.917 \| good	0.179 \| good
2025-10-20T20:00:00.000Z	42 \| good	4.737 \| good	20.157 \| good	44.617 \| good	0.398 \| good	3.149 \| good	0.179 \| good
2025-10-20T21:00:00.000Z	44 \| good	3.311 \| good	16.325 \| good	46.985 \| good	0.374 \| good	2.845 \| good	0.179 \| good
2025-10-20T22:00:00.000Z	42 \| good	2.15 \| good	21.844 \| good	45.41 \| good	0.353 \| good	3.743 \| good	0.192 \| good
2025-10-20T23:00:00.000Z	41 \| good	2.096 \| good	13.545 \| good	43.953 \| good	0.344 \| good	1.959 \| good	0.192 \| good
2025-10-21T00:00:00.000Z	44 \| good	2.086 \| good	13.362 \| good	47.401 \| good	0.261 \| good	1.98 \| good	0.192 \| good
2025-10-21T01:00:00.000Z	38 \| good	2.493 \| good	16.099 \| good	40.734 \| good	0.242 \| good	3.174 \| good	0.192 \| good
2025-10-21T02:00:00.000Z	35 \| good	4.36 \| good	26.596 \| good	37.679 \| good	0.209 \| good	5.068 \| good	0.19 \| good
2025-10-21T03:00:00.000Z	26 \| good	0.787 \| good	3.043 \| good	28.389 \| good	0.679 \| good	3.086 \| good	0.129 \| good
2025-10-21T04:00:00.000Z	36 \| good	1.198 \| good	5.31 \| good	39.456 \| good	0.233 \| good	6.798 \| good	0.369 \| good
2025-10-21T05:00:00.000Z	38 \| good	1.811 \| good	11.422 \| good	41.35 \| good	0.493 \| good	6.055 \| good	0.379 \| good
2025-10-21T06:00:00.000Z	34 \| good	1.609 \| good	12.552 \| good	37.239 \| good	0.301 \| good	6.262 \| good	0.269 \| good
2025-10-21T07:00:00.000Z	35 \| good	1.667 \| good	5.449 \| good	38.109 \| good	0.224 \| good	4.53 \| good	0.3 \| good
2025-10-21T08:00:00.000Z	38 \| good	2.815 \| good	11.893 \| good	40.655 \| good	0.38 \| good	4.462 \| good	0.257 \| good
2025-10-21T09:00:00.000Z	38 \| good	3.033 \| good	12.788 \| good	40.804 \| good	0.438 \| good	6.476 \| good	0.257 \| good
2025-10-21T10:00:00.000Z	37 \| good	3.634 \| good	17.162 \| good	39.733 \| good	0.417 \| good	6.018 \| good	0.2 \| good
2025-10-21T11:00:00.000Z	36 \| good	2.745 \| good	11.711 \| good	39.16 \| good	0.522 \| good	4.617 \| good	0.147 \| good
2025-10-21T12:00:00.000Z	28 \| good	3.961 \| good	15.682 \| good	29.505 \| good	3.45 \| good	8.334 \| good	0.223 \| good
2025-10-21T13:00:00.000Z	31 \| good	2.816 \| good	12.13 \| good	32.597 \| good	0.532 \| good	9.269 \| good	0.204 \| good
2025-10-21T14:00:00.000Z	31 \| good	3.168 \| good	14.764 \| good	32.594 \| good	0.904 \| good	11.845 \| good	1.661 \| good
2025-10-21T15:00:00.000Z	31 \| good	2.187 \| good	16.318 \| good	33.001 \| good	1.22 \| good	16.91 \| good	0.385 \| good
2025-10-21T16:00:00.000Z	35 \| good	2.663 \| good	18.158 \| good	38.357 \| good	0.659 \| good	10.179 \| good	0.204 \| good
2025-10-21T17:00:00.000Z	46 \| good	6.06 \| good	50.316 \| good	34.42 \| good	0.597 \| good	9.584 \| good	0.169 \| good
2025-10-21T18:00:00.000Z	33 \| good	5.944 \| good	30.934 \| good	36.334 \| good	0.726 \| good	5.57 \| good	0.145 \| good
2025-10-21T19:00:00.000Z	32 \| good	4.48 \| good	22.7 \| good	35.404 \| good	0.298 \| good	4.388 \| good	0.135 \| good
2025-10-21T20:00:00.000Z	34 \| good	4.815 \| good	28.545 \| good	36.632 \| good	0.481 \| good	3.379 \| good	0.186 \| good
2025-10-21T21:00:00.000Z	38 \| good	4.303 \| good	21.24 \| good	41.467 \| good	0.393 \| good	2.944 \| good	0.209 \| good
2025-10-21T22:00:00.000Z	40 \| good	4.417 \| good	19.115 \| good	42.549 \| good	0.311 \| good	2.583 \| good	0.147 \| good
2025-10-21T23:00:00.000Z	41 \| good	3.594 \| good	17.531 \| good	44.192 \| good	0.267 \| good	2.952 \| good	0.147 \| good
2025-10-22T00:00:00.000Z	43 \| good	5.128 \| good	28.437 \| good	45.77 \| good	0.353 \| good	3.899 \| good	0.167 \| good
2025-10-22T01:00:00.000Z	39 \| good	3.419 \| good	22.901 \| good	41.524 \| good	0.288 \| good	5.344 \| good	0.294 \| good
2025-10-22T02:00:00.000Z	38 \| good	2.572 \| good	25.602 \| good	41.234 \| good	0.449 \| good	7.478 \| good	0.412 \| good
2025-10-22T03:00:00.000Z	24 \| good	0.538 \| good	1.918 \| good	26.336 \| good	0.565 \| good	4.98 \| good	0.158 \| good
2025-10-22T04:00:00.000Z	35 \| good	3.357 \| good	18.324 \| good	37.637 \| good	0.327 \| good	8.378 \| good	0.477 \| good
2025-10-22T05:00:00.000Z	38 \| good	3.224 \| good	24.677 \| good	40.69 \| good	0.258 \| good	6.27 \| good	0.18 \| good
2025-10-22T06:00:00.000Z	35 \| good	3.461 \| good	16.24 \| good	37.673 \| good	0.207 \| good	4.868 \| good	0.194 \| good
2025-10-22T06:00:00.000Z	35 \| good	3.461 \| good	16.24 \| good	37.673 \| good	0.207 \| good	4.868 \| good	0.194 \| good
2025-10-22T07:00:00.000Z	31 \| good	0.768 \| good	3.235 \| good	34.212 \| good	0.494 \| good	5.193 \| good	0.157 \| good
2025-10-22T08:00:00.000Z	31 \| good	0.456 \| good	1.906 \| good	34.297 \| good	0.439 \| good	4.844 \| good	0.151 \| good
2025-10-22T09:00:00.000Z	31 \| good	0.497 \| good	2.132 \| good	32.814 \| good	0.384 \| good	4.495 \| good	0.145 \| good
2025-10-22T10:00:00.000Z	27 \| good	0.584 \| good	2.094 \| good	29.169 \| good	0.344 \| good	4.167 \| good	0.14 \| good
2025-10-22T11:00:00.000Z	27 \| good	0.536 \| good	2 \| good	29.162 \| good	0.305 \| good	3.839 \| good	0.135 \| good
2025-10-22T12:00:00.000Z	26 \| good	0.55 \| good	2.021 \| good	27.836 \| good	0.265 \| good	3.511 \| good	0.13 \| good
2025-10-22T13:00:00.000Z	26 \| good	0.692 \| good	2.271 \| good	27.783 \| good	0.276 \| good	3.504 \| good	0.138 \| good
2025-10-22T14:00:00.000Z	25 \| good	0.696 \| good	2.132 \| good	27.417 \| good	0.287 \| good	3.497 \| good	0.146 \| good
2025-10-22T15:00:00.000Z	28 \| good	0.885 \| good	3.295 \| good	29.823 \| good	0.297 \| good	3.491 \| good	0.153 \| good
2025-10-22T16:00:00.000Z	30 \| good	0.795 \| good	3.107 \| good	31.861 \| good	0.37 \| good	2.571 \| good	0.138 \| good
2025-10-22T17:00:00.000Z	32 \| good	2.478 \| good	10.504 \| good	34.989 \| good	0.443 \| good	1.652 \| good	0.123 \| good
2025-10-22T18:00:00.000Z	35 \| good	1.869 \| good	7.441 \| good	38.3 \| good	0.515 \| good	0.733 \| good	0.108 \| good
2025-10-22T19:00:00.000Z	36 \| good	2.389 \| good	9.692 \| good	39.139 \| good	0.459 \| good	0.65 \| good	0.106 \| good
2025-10-22T20:00:00.000Z	36 \| good	2.938 \| good	12.279 \| good	39.066 \| good	0.402 \| good	0.568 \| good	0.103 \| good
2025-10-22T21:00:00.000Z	37 \| good	1.359 \| good	5.18 \| good	39.565 \| good	0.346 \| good	0.486 \| good	0.101 \| good
2025-10-22T22:00:00.000Z	37 \| good	1.479 \| good	6.191 \| good	40.09 \| good	0.353 \| good	0.832 \| good	0.104 \| good
2025-10-22T23:00:00.000Z	37 \| good	1.505 \| good	6.334 \| good	39.994 \| good	0.36 \| good	1.177 \| good	0.108 \| good
2025-10-23T00:00:00.000Z	31 \| good	1.258 \| good	5.188 \| good	34.109 \| good	0.367 \| good	1.523 \| good	0.111 \| good
2025-10-23T01:00:00.000Z	25 \| good	1.628 \| good	6.728 \| good	26.903 \| good	0.393 \| good	2.386 \| good	0.121 \| good
2025-10-23T02:00:00.000Z	21 \| good	1.198 \| good	5.218 \| good	22.968 \| good	0.419 \| good	3.249 \| good	0.132 \| good
2025-10-23T03:00:00.000Z	20 \| good	1.125 \| good	4.493 \| good	21.823 \| good	0.445 \| good	4.111 \| good	0.142 \| good
2025-10-23T04:00:00.000Z	22 \| good	0.75 \| good	3.038 \| good	23.746 \| good	0.446 \| good	4.299 \| good	0.143 \| good
2025-10-23T05:00:00.000Z	24 \| good	0.754 \| good	3.015 \| good	26.213 \| good	0.446 \| good	4.487 \| good	0.144 \| good
2025-10-23T06:00:00.000Z	25 \| good	1.28 \| good	5.521 \| good	27.132 \| good	0.447 \| good	4.675 \| good	0.145 \| good
2025-10-23T07:00:00.000Z	26 \| good	1.164 \| good	4.455 \| good	27.725 \| good	0.425 \| good	4.474 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	27 \| good	0.885 \| good	3.396 \| good	29.029 \| good	0.404 \| good	4.272 \| good	0.137 \| good
2025-10-23T09:00:00.000Z	28 \| good	0.803 \| good	3.173 \| good	29.728 \| good	0.383 \| good	4.071 \| good	0.133 \| good
2025-10-23T10:00:00.000Z	28 \| good	1.394 \| good	5.242 \| good	29.771 \| good	0.36 \| good	4.13 \| good	0.131 \| good
2025-10-23T11:00:00.000Z	26 \| good	2.196 \| good	9.111 \| good	27.643 \| good	0.336 \| good	4.189 \| good	0.129 \| good
2025-10-23T12:00:00.000Z	23 \| good	2.303 \| good	9.258 \| good	24.702 \| good	0.313 \| good	4.248 \| good	0.127 \| good
2025-10-23T13:00:00.000Z	22 \| good	0.975 \| good	3.976 \| good	24.352 \| good	0.298 \| good	3.969 \| good	0.13 \| good
2025-10-23T14:00:00.000Z	24 \| good	1.866 \| good	7.394 \| good	25.675 \| good	0.283 \| good	3.691 \| good	0.133 \| good
2025-10-23T15:00:00.000Z	30 \| good	2.41 \| good	10.115 \| good	31.908 \| good	0.269 \| good	3.413 \| good	0.136 \| good
2025-10-23T16:00:00.000Z	35 \| good	1.171 \| good	4.999 \| good	38.08 \| good	0.27 \| good	2.412 \| good	0.123 \| good
2025-10-23T17:00:00.000Z	35 \| good	2.284 \| good	9.225 \| good	37.77 \| good	0.27 \| good	1.412 \| good	0.11 \| good
2025-10-23T18:00:00.000Z	38 \| good	1.09 \| good	4.182 \| good	40.704 \| good	0.271 \| good	0.411 \| good	0.097 \| good
2025-10-23T19:00:00.000Z	41 \| good	2.554 \| good	10.266 \| good	44.339 \| good	0.261 \| good	0.388 \| good	0.097 \| good
2025-10-23T20:00:00.000Z	42 \| good	2.557 \| good	10.211 \| good	44.709 \| good	0.251 \| good	0.365 \| good	0.097 \| good
2025-10-23T21:00:00.000Z	40 \| good	0.88 \| good	3.197 \| good	43.332 \| good	0.241 \| good	0.341 \| good	0.097 \| good
2025-10-23T22:00:00.000Z	41 \| good	0.857 \| good	3.177 \| good	44.042 \| good	0.211 \| good	0.611 \| good	0.1 \| good
2025-10-23T23:00:00.000Z	41 \| good	0.174 \| good	0.109 \| good	44.473 \| good	0.182 \| good	0.881 \| good	0.103 \| good
2025-10-24T00:00:00.000Z	39 \| good	0.489 \| good	2 \| good	41.597 \| good	0.153 \| good	1.15 \| good	0.106 \| good
2025-10-24T01:00:00.000Z	39 \| good	0.572 \| good	2.161 \| good	41.57 \| good	0.153 \| good	1.492 \| good	0.109 \| good
2025-10-24T02:00:00.000Z	38 \| good	0.592 \| good	2.029 \| good	40.963 \| good	0.153 \| good	1.833 \| good	0.113 \| good
2025-10-24T03:00:00.000Z	34 \| good	0.632 \| good	2.09 \| good	37.08 \| good	0.153 \| good	2.175 \| good	0.117 \| good
2025-10-24T04:00:00.000Z	33 \| good	0.561 \| good	2 \| good	35.955 \| good	0.127 \| good	2.608 \| good	0.121 \| good
2025-10-24T05:00:00.000Z	35 \| good	0.52 \| good	2 \| good	37.715 \| good	0.1 \| good	3.04 \| good	0.126 \| good
2025-10-24T06:00:00.000Z	33 \| good	6.269 \| good	6.578 \| good	33.279 \| good	0.075 \| good	3.47 \| good	0.131 \| good

Los Alamos, New Mexico live air quality index now

Major air pollutants in Los Alamos, New Mexico

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Los Alamos, New Mexico air quality forecast and history

Get reliable air quality data to drive your business

Los Alamos, New Mexico air quality map: Track AQI near you

Air quality in nearby cities

Espanola, New Mexico

Santa Fe, New Mexico

Rio Rancho, New Mexico

North Valley, New Mexico

Albuquerque, New Mexico

South Valley, New Mexico

How accurate is New Mexico, USA air quality data?

Air quality levels in US

Frequently asked questions

How often is the air quality data for Los Alamos, New Mexico updated?

When was the worst air quality at Los Alamos, New Mexico in the last 24 hrs?

When was the best air quality at Los Alamos, New Mexico in the last 24 hrs?

What is the current air quality in Los Alamos, New Mexico?

What pollutant is the most common in Los Alamos, New Mexico?

What should I do if the air quality in Los Alamos, New Mexico is poor?

What is the current concentration of PM2.5 in Los Alamos, New Mexico?

What is the current concentration of PM10 in Los Alamos, New Mexico?

What is the current concentration of carbon monoxide (CO) in Los Alamos, New Mexico?

What is the current concentration of sulfur dioxide (SO2) in Los Alamos, New Mexico?

What is the current concentration of ozone (O3) in Los Alamos, New Mexico?

What is the current concentration of nitrogen dioxide (NO2) in Los Alamos, New Mexico?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Los Alamos, New Mexico?

What is the current concentration of PM₁₀ in Los Alamos, New Mexico?

What is the current concentration of sulfur dioxide (SO₂) in Los Alamos, New Mexico?

What is the current concentration of ozone (O₃) in Los Alamos, New Mexico?

What is the current concentration of nitrogen dioxide (NO₂) in Los Alamos, New Mexico?