What are the current PM10 levels at Los Lunas, New Mexico?

The current PM10 levels in Los Lunas, New Mexico are 33.484 μg/m3.

What are the current sulfur dioxide (SO2) levels at Los Lunas, New Mexico?

The current sulfur dioxide (SO2) levels in Los Lunas, New Mexico are 0.595 ppb.

What are the current ozone (O3) levels at Los Lunas, New Mexico?

The current ozone (O3) levels at Los Lunas, New Mexico is 14.031 ppm.

What are the current nitrogen dioxide (NO2) levels at Los Lunas, New Mexico?

The current nitrogen dioxide (NO2) levels at Los Lunas, New Mexico is 22.019 ppb.

Real-time air quality index in Los Lunas, New Mexico today

Q: What are the current PM2.5 levels in Los Lunas, New Mexico?

The measured PM2.5 levels in Los Lunas, New Mexico at present are 7.945 μg/m3.

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

Last updated: ... (Local time)

Common air pollutants in Los Lunas, New Mexico

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.95 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

33.48 μg/m³

155

255

425

605+

Ozone (O₃)

14.03 ppb

201

201+

Sulfur Dioxide (SO₂)

0.59 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

22.02 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.46 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Los Lunas, New Mexico

Get Live Pollen Counts

Los Lunas, New Mexico

Scroll To Air Quality Map

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

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-21T06:00:00.000Z	60 \| moderate	14.34 \| fine	50.955 \| good	11 \| good	0.293 \| good	28.293 \| good	0.746 \| good
2026-01-21T07:00:00.000Z	60 \| moderate	14.448 \| fine	54.743 \| good	11 \| good	0.409 \| good	21.526 \| good	0.397 \| good
2026-01-21T08:00:00.000Z	82 \| moderate	25.521 \| fine	66.615 \| fine	12 \| good	2.193 \| good	24.465 \| good	0.378 \| good
2026-01-21T09:00:00.000Z	84 \| moderate	26.758 \| fine	37.202 \| good	12 \| good	2.94 \| good	27.156 \| good	0.598 \| good
2026-01-21T10:00:00.000Z	52 \| moderate	9.972 \| good	40.368 \| good	11 \| good	1.871 \| good	27.447 \| good	0.445 \| good
2026-01-21T11:00:00.000Z	75 \| moderate	21.976 \| fine	49.169 \| good	5 \| good	3.274 \| good	25.704 \| good	0.356 \| good
2026-01-21T12:00:00.000Z	69 \| moderate	18.756 \| fine	36.609 \| good	5 \| good	3.919 \| good	24.204 \| good	0.467 \| good
2026-01-21T13:00:00.000Z	52 \| moderate	9.819 \| good	24.858 \| good	5 \| good	2.445 \| good	29.998 \| good	0.531 \| good
2026-01-21T14:00:00.000Z	46 \| good	3.105 \| good	15.136 \| good	6 \| good	3.396 \| good	48.556 \| good	1.021 \| good
2026-01-21T15:00:00.000Z	41 \| good	1.958 \| good	7.526 \| good	9 \| good	2.122 \| good	42.592 \| good	1.231 \| good
2026-01-21T16:00:00.000Z	38 \| good	6.872 \| good	23.019 \| good	12 \| good	2.788 \| good	29.311 \| good	1.669 \| good
2026-01-21T17:00:00.000Z	50 \| good	9.378 \| good	53.444 \| good	16 \| good	3.496 \| good	52.764 \| good	0.887 \| good
2026-01-21T18:00:00.000Z	44 \| good	7.681 \| good	41.329 \| good	17 \| good	2.801 \| good	38.548 \| good	0.641 \| good
2026-01-21T19:00:00.000Z	33 \| good	6.228 \| good	32.684 \| good	18 \| good	0.374 \| good	12.192 \| good	0.375 \| good
2026-01-21T20:00:00.000Z	27 \| good	5.055 \| good	14.796 \| good	23 \| good	0.369 \| good	7.729 \| good	0.258 \| good
2026-01-21T21:00:00.000Z	27 \| good	3.249 \| good	20.766 \| good	29 \| good	0.241 \| good	3.903 \| good	0.164 \| good
2026-01-21T22:00:00.000Z	30 \| good	3.621 \| good	21.702 \| good	32 \| good	0.275 \| good	4.74 \| good	0.2 \| good
2026-01-21T23:00:00.000Z	31 \| good	4.142 \| good	20.354 \| good	34 \| good	0.477 \| good	6.583 \| good	0.203 \| good
2026-01-22T00:00:00.000Z	33 \| good	4.035 \| good	21.003 \| good	36 \| good	0.362 \| good	10.56 \| good	0.264 \| good
2026-01-22T01:00:00.000Z	33 \| good	6.395 \| good	28.148 \| good	31 \| good	0.156 \| good	18.529 \| good	0.4 \| good
2026-01-22T02:00:00.000Z	47 \| good	8.015 \| good	51.279 \| good	24 \| good	0.161 \| good	19.383 \| good	0.405 \| good
2026-01-22T03:00:00.000Z	38 \| good	7.251 \| good	20.845 \| good	20 \| good	0.401 \| good	23.281 \| good	0.442 \| good
2026-01-22T04:00:00.000Z	44 \| good	8.43 \| good	27.012 \| good	14 \| good	0.373 \| good	20.449 \| good	0.447 \| good
2026-01-22T05:00:00.000Z	52 \| moderate	9.552 \| good	41.548 \| good	12 \| good	0.221 \| good	16.408 \| good	0.349 \| good
2026-01-22T06:00:00.000Z	32 \| good	5.171 \| good	35.219 \| good	10 \| good	0.275 \| good	12.593 \| good	0.487 \| good
2026-01-22T07:00:00.000Z	50 \| good	9.348 \| good	54.356 \| good	10 \| good	0.374 \| good	10.011 \| good	0.481 \| good
2026-01-22T08:00:00.000Z	62 \| moderate	14.574 \| fine	69.291 \| fine	8 \| good	0.619 \| good	8.499 \| good	0.576 \| good
2026-01-22T09:00:00.000Z	60 \| moderate	14.19 \| fine	58.254 \| fine	8 \| good	0.508 \| good	8.154 \| good	0.65 \| good
2026-01-22T10:00:00.000Z	49 \| good	9.414 \| good	24.241 \| good	9 \| good	0.655 \| good	8.011 \| good	0.747 \| good
2026-01-22T11:00:00.000Z	62 \| moderate	14.817 \| fine	52.665 \| good	6 \| good	0.863 \| good	7.161 \| good	0.676 \| good
2026-01-22T12:00:00.000Z	44 \| good	8.144 \| good	22.425 \| good	3 \| good	1.167 \| good	7.241 \| good	0.752 \| good
2026-01-22T13:00:00.000Z	54 \| moderate	11.068 \| good	37.137 \| good	3 \| good	3.299 \| good	7.833 \| good	0.757 \| good
2026-01-22T14:00:00.000Z	58 \| moderate	12.519 \| fine	41.911 \| good	8 \| good	3.386 \| good	10.859 \| good	0.821 \| good
2026-01-22T15:00:00.000Z	37 \| good	5.34 \| good	28.724 \| good	10 \| good	3.44 \| good	38.771 \| good	0.976 \| good
2026-01-22T16:00:00.000Z	54 \| moderate	11.319 \| good	49.079 \| good	13 \| good	2.768 \| good	32.206 \| good	0.758 \| good
2026-01-22T17:00:00.000Z	38 \| good	6.571 \| good	34.778 \| good	14 \| good	10.835 \| good	11.011 \| good	0.612 \| good
2026-01-22T18:00:00.000Z	44 \| good	8.21 \| good	39.434 \| good	16 \| good	2.224 \| good	5.05 \| good	0.49 \| good
2026-01-22T19:00:00.000Z	28 \| good	5.009 \| good	29.627 \| good	19 \| good	0.716 \| good	6.712 \| good	0.376 \| good
2026-01-22T20:00:00.000Z	33 \| good	5.949 \| good	26.378 \| good	24 \| good	0.73 \| good	10.411 \| good	0.373 \| good
2026-01-22T21:00:00.000Z	27 \| good	5.106 \| good	23.379 \| good	26 \| good	0.157 \| good	5.408 \| good	0.205 \| good
2026-01-22T22:00:00.000Z	33 \| good	5.797 \| good	31.632 \| good	27 \| good	0.132 \| good	5.877 \| good	0.208 \| good
2026-01-22T23:00:00.000Z	27 \| good	5.138 \| good	27.911 \| good	28 \| good	0.273 \| good	6.42 \| good	0.208 \| good
2026-01-23T00:00:00.000Z	27 \| good	3.969 \| good	22.528 \| good	29 \| good	0.335 \| good	8.898 \| good	0.261 \| good
2026-01-23T01:00:00.000Z	27 \| good	4.67 \| good	19.931 \| good	26 \| good	0.212 \| good	11.122 \| good	0.264 \| good
2026-01-23T02:00:00.000Z	27 \| good	4.801 \| good	23.445 \| good	19 \| good	0.113 \| good	28.801 \| good	0.821 \| good
2026-01-23T03:00:00.000Z	33 \| good	5.569 \| good	28.587 \| good	19 \| good	0.59 \| good	23.06 \| good	0.456 \| good
2026-01-23T04:00:00.000Z	44 \| good	7.895 \| good	32.833 \| good	14 \| good	0.594 \| good	21.995 \| good	0.464 \| good
2026-01-23T05:00:00.000Z	44 \| good	7.945 \| good	33.484 \| good	14.031 \| good	0.595 \| good	22.019 \| good	0.464 \| good
2026-01-23T06:00:00.000Z	44 \| good	8.346 \| good	37.11 \| good	14.983 \| good	1.412 \| good	12.042 \| good	0.229 \| good
2026-01-23T07:00:00.000Z	58 \| moderate	13.075 \| fine	59.111 \| fine	12.688 \| good	1.228 \| good	10.203 \| good	0.213 \| good
2026-01-23T08:00:00.000Z	58 \| moderate	12.94 \| fine	58.855 \| fine	10.247 \| good	1.043 \| good	8.363 \| good	0.197 \| good
2026-01-23T09:00:00.000Z	56 \| moderate	11.595 \| good	51.21 \| good	9.651 \| good	0.859 \| good	6.524 \| good	0.181 \| good
2026-01-23T10:00:00.000Z	54 \| moderate	11.431 \| good	50.372 \| good	9.503 \| good	0.819 \| good	6.255 \| good	0.176 \| good
2026-01-23T11:00:00.000Z	44 \| good	8.474 \| good	37.218 \| good	9.335 \| good	0.78 \| good	5.986 \| good	0.171 \| good
2026-01-23T12:00:00.000Z	49 \| good	8.905 \| good	39.268 \| good	10.015 \| good	0.74 \| good	5.717 \| good	0.166 \| good
2026-01-23T13:00:00.000Z	52 \| moderate	10.142 \| good	45.236 \| good	6.176 \| good	0.826 \| good	7.465 \| good	0.184 \| good
2026-01-23T14:00:00.000Z	54 \| moderate	10.61 \| good	46.707 \| good	5.741 \| good	0.911 \| good	9.212 \| good	0.202 \| good
2026-01-23T15:00:00.000Z	27 \| good	5.285 \| good	22.77 \| good	9.498 \| good	0.996 \| good	10.96 \| good	0.22 \| good
2026-01-23T16:00:00.000Z	22 \| good	3.838 \| good	16.445 \| good	11.88 \| good	0.941 \| good	8.676 \| good	0.208 \| good
2026-01-23T17:00:00.000Z	16 \| good	2.968 \| good	12.382 \| good	17.225 \| good	0.885 \| good	6.393 \| good	0.196 \| good
2026-01-23T18:00:00.000Z	20 \| good	2.962 \| good	12.299 \| good	21.532 \| good	0.829 \| good	4.109 \| good	0.184 \| good
2026-01-23T19:00:00.000Z	25 \| good	2.496 \| good	10.154 \| good	27.085 \| good	0.768 \| good	3.528 \| good	0.172 \| good
2026-01-23T20:00:00.000Z	30 \| good	1.641 \| good	7.02 \| good	31.749 \| good	0.707 \| good	2.947 \| good	0.16 \| good
2026-01-23T21:00:00.000Z	31 \| good	1.318 \| good	5.073 \| good	34.299 \| good	0.647 \| good	2.365 \| good	0.148 \| good
2026-01-23T22:00:00.000Z	31 \| good	0.793 \| good	3.099 \| good	33.469 \| good	0.579 \| good	2.67 \| good	0.144 \| good
2026-01-23T23:00:00.000Z	31 \| good	1.167 \| good	4.962 \| good	34.334 \| good	0.512 \| good	2.976 \| good	0.14 \| good
2026-01-24T00:00:00.000Z	34 \| good	1.303 \| good	5.011 \| good	36.775 \| good	0.444 \| good	3.281 \| good	0.136 \| good
2026-01-24T01:00:00.000Z	27 \| good	2.636 \| good	10.418 \| good	28.854 \| good	0.407 \| good	3.25 \| good	0.132 \| good
2026-01-24T02:00:00.000Z	21 \| good	1.86 \| good	8.044 \| good	23.021 \| good	0.371 \| good	3.219 \| good	0.127 \| good
2026-01-24T03:00:00.000Z	27 \| good	1.767 \| good	7.11 \| good	29.206 \| good	0.334 \| good	3.187 \| good	0.123 \| good
2026-01-24T04:00:00.000Z	31 \| good	1.706 \| good	7.044 \| good	32.968 \| good	0.302 \| good	2.892 \| good	0.118 \| good
2026-01-24T05:00:00.000Z	28 \| good	3.352 \| good	15.012 \| good	29.756 \| good	0.269 \| good	2.596 \| good	0.113 \| good
2026-01-24T06:00:00.000Z	26 \| good	2.221 \| good	9.083 \| good	28.258 \| good	0.237 \| good	2.301 \| good	0.108 \| good
2026-01-24T07:00:00.000Z	22 \| good	3.732 \| good	16.206 \| good	21.792 \| good	0.214 \| good	2.082 \| good	0.106 \| good
2026-01-24T08:00:00.000Z	27 \| good	4.98 \| good	21.217 \| good	24.061 \| good	0.191 \| good	1.864 \| good	0.103 \| good
2026-01-24T09:00:00.000Z	27 \| good	5.354 \| good	23.161 \| good	21.154 \| good	0.168 \| good	1.645 \| good	0.101 \| good
2026-01-24T10:00:00.000Z	27 \| good	5.066 \| good	22.054 \| good	26.462 \| good	0.176 \| good	1.694 \| good	0.101 \| good
2026-01-24T11:00:00.000Z	27 \| good	5.116 \| good	22.042 \| good	23.815 \| good	0.185 \| good	1.744 \| good	0.101 \| good
2026-01-24T12:00:00.000Z	33 \| good	6.148 \| good	27.156 \| good	26.32 \| good	0.194 \| good	1.793 \| good	0.101 \| good
2026-01-24T13:00:00.000Z	38 \| good	6.518 \| good	29.035 \| good	22.158 \| good	0.3 \| good	3.465 \| good	0.117 \| good
2026-01-24T14:00:00.000Z	27 \| good	4.98 \| good	21.197 \| good	23.28 \| good	0.406 \| good	5.138 \| good	0.133 \| good
2026-01-24T15:00:00.000Z	19 \| good	2.341 \| good	9.959 \| good	21.498 \| good	0.513 \| good	6.81 \| good	0.149 \| good
2026-01-24T16:00:00.000Z	17 \| good	3.445 \| good	15.054 \| good	18.444 \| good	0.444 \| good	5.363 \| good	0.139 \| good
2026-01-24T17:00:00.000Z	19 \| good	2.408 \| good	10.01 \| good	19.654 \| good	0.376 \| good	3.915 \| good	0.13 \| good
2026-01-24T18:00:00.000Z	19 \| good	2.978 \| good	12.215 \| good	20.912 \| good	0.307 \| good	2.468 \| good	0.121 \| good
2026-01-24T19:00:00.000Z	27 \| good	4.579 \| good	20.056 \| good	18.874 \| good	0.242 \| good	1.922 \| good	0.115 \| good
2026-01-24T20:00:00.000Z	22 \| good	3.685 \| good	16.105 \| good	23.467 \| good	0.177 \| good	1.376 \| good	0.109 \| good
2026-01-24T21:00:00.000Z	21 \| good	3.087 \| good	12.34 \| good	23.114 \| good	0.111 \| good	0.829 \| good	0.103 \| good
2026-01-24T22:00:00.000Z	22 \| good	3.719 \| good	16.177 \| good	22.602 \| good	0.125 \| good	1.357 \| good	0.109 \| good
2026-01-24T23:00:00.000Z	21 \| good	1.298 \| good	5.105 \| good	22.611 \| good	0.139 \| good	1.884 \| good	0.115 \| good
2026-01-25T00:00:00.000Z	25 \| good	0.721 \| good	0.744 \| good	27.084 \| good	0.153 \| good	2.41 \| good	0.122 \| good
2026-01-25T01:00:00.000Z	27 \| good	4.716 \| good	20.259 \| good	16.171 \| good	0.173 \| good	2.756 \| good	0.132 \| good
2026-01-25T02:00:00.000Z	27 \| good	4.743 \| good	21 \| good	13.495 \| good	0.192 \| good	3.1 \| good	0.143 \| good
2026-01-25T03:00:00.000Z	44 \| good	7.675 \| good	33.983 \| good	17.957 \| good	0.212 \| good	3.445 \| good	0.153 \| good
2026-01-25T04:00:00.000Z	52 \| moderate	10.291 \| good	45.19 \| good	16.158 \| good	0.205 \| good	3.281 \| good	0.157 \| good
2026-01-25T05:00:00.000Z	54 \| moderate	11.142 \| good	49.156 \| good	18.382 \| good	0.199 \| good	3.116 \| good	0.161 \| good

Los Lunas

Empower business decisions with accurate air quality data

Los Lunas, New Mexico air quality map: Real-time AQI near you

0.49ppm

How accurate is New Mexico, USA air quality data?

Air quality measurements for New Mexico, 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 Los Lunas, New Mexico updated?

Air quality data for Los Lunas, New Mexico is updated on an hourly basis.

When did Los Lunas, New Mexico experience the worst air quality in the last 24 hours?

The worst air quality in Los Lunas, New Mexico was recorded at 11:00:00 on 2026-01-22.

When did Los Lunas, New Mexico have its best air quality in the last 24 hours?

The best air quality in Los Lunas, New Mexico was recorded at 02:00:00 on 2026-01-23.

What is the real-time air quality index for Los Lunas, New Mexico?

The real-time air quality index in Los Lunas, New Mexico is 44, currently categorized as Good.

Which pollutant is found most often in Los Lunas, New Mexico?

The most common pollutant in Los Lunas, New Mexico is PM2.5.

What can I do if the air quality in Los Lunas, New Mexico is poor?

If the air quality in Los Lunas, New Mexico is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Los Lunas, New Mexico?

The measured PM_2.5 levels in Los Lunas, New Mexico at present are 7.945 μg/m³.

What are the current PM₁₀ levels at Los Lunas, New Mexico?

The current PM₁₀ levels in Los Lunas, New Mexico are 33.484 μg/m³.

What are the current carbon monoxide (CO) levels at Los Lunas, New Mexico?

The current carbon monoxide (CO) level in Los Lunas, New Mexico is 0.464 ppm.

What are the current sulfur dioxide (SO₂) levels at Los Lunas, New Mexico?

The current sulfur dioxide (SO₂) levels in Los Lunas, New Mexico are 0.595 ppb.

What are the current ozone (O₃) levels at Los Lunas, New Mexico?

The current ozone (O₃) levels at Los Lunas, New Mexico is 14.031 ppm.

What are the current nitrogen dioxide (NO₂) levels at Los Lunas, New Mexico?

The current nitrogen dioxide (NO₂) levels at Los Lunas, New Mexico is 22.019 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-21T06:00:00.000Z	60 \| moderate	14.34 \| fine	50.955 \| good	11 \| good	0.293 \| good	28.293 \| good	0.746 \| good
2026-01-21T07:00:00.000Z	60 \| moderate	14.448 \| fine	54.743 \| good	11 \| good	0.409 \| good	21.526 \| good	0.397 \| good
2026-01-21T08:00:00.000Z	82 \| moderate	25.521 \| fine	66.615 \| fine	12 \| good	2.193 \| good	24.465 \| good	0.378 \| good
2026-01-21T09:00:00.000Z	84 \| moderate	26.758 \| fine	37.202 \| good	12 \| good	2.94 \| good	27.156 \| good	0.598 \| good
2026-01-21T10:00:00.000Z	52 \| moderate	9.972 \| good	40.368 \| good	11 \| good	1.871 \| good	27.447 \| good	0.445 \| good
2026-01-21T11:00:00.000Z	75 \| moderate	21.976 \| fine	49.169 \| good	5 \| good	3.274 \| good	25.704 \| good	0.356 \| good
2026-01-21T12:00:00.000Z	69 \| moderate	18.756 \| fine	36.609 \| good	5 \| good	3.919 \| good	24.204 \| good	0.467 \| good
2026-01-21T13:00:00.000Z	52 \| moderate	9.819 \| good	24.858 \| good	5 \| good	2.445 \| good	29.998 \| good	0.531 \| good
2026-01-21T14:00:00.000Z	46 \| good	3.105 \| good	15.136 \| good	6 \| good	3.396 \| good	48.556 \| good	1.021 \| good
2026-01-21T15:00:00.000Z	41 \| good	1.958 \| good	7.526 \| good	9 \| good	2.122 \| good	42.592 \| good	1.231 \| good
2026-01-21T16:00:00.000Z	38 \| good	6.872 \| good	23.019 \| good	12 \| good	2.788 \| good	29.311 \| good	1.669 \| good
2026-01-21T17:00:00.000Z	50 \| good	9.378 \| good	53.444 \| good	16 \| good	3.496 \| good	52.764 \| good	0.887 \| good
2026-01-21T18:00:00.000Z	44 \| good	7.681 \| good	41.329 \| good	17 \| good	2.801 \| good	38.548 \| good	0.641 \| good
2026-01-21T19:00:00.000Z	33 \| good	6.228 \| good	32.684 \| good	18 \| good	0.374 \| good	12.192 \| good	0.375 \| good
2026-01-21T20:00:00.000Z	27 \| good	5.055 \| good	14.796 \| good	23 \| good	0.369 \| good	7.729 \| good	0.258 \| good
2026-01-21T21:00:00.000Z	27 \| good	3.249 \| good	20.766 \| good	29 \| good	0.241 \| good	3.903 \| good	0.164 \| good
2026-01-21T22:00:00.000Z	30 \| good	3.621 \| good	21.702 \| good	32 \| good	0.275 \| good	4.74 \| good	0.2 \| good
2026-01-21T23:00:00.000Z	31 \| good	4.142 \| good	20.354 \| good	34 \| good	0.477 \| good	6.583 \| good	0.203 \| good
2026-01-22T00:00:00.000Z	33 \| good	4.035 \| good	21.003 \| good	36 \| good	0.362 \| good	10.56 \| good	0.264 \| good
2026-01-22T01:00:00.000Z	33 \| good	6.395 \| good	28.148 \| good	31 \| good	0.156 \| good	18.529 \| good	0.4 \| good
2026-01-22T02:00:00.000Z	47 \| good	8.015 \| good	51.279 \| good	24 \| good	0.161 \| good	19.383 \| good	0.405 \| good
2026-01-22T03:00:00.000Z	38 \| good	7.251 \| good	20.845 \| good	20 \| good	0.401 \| good	23.281 \| good	0.442 \| good
2026-01-22T04:00:00.000Z	44 \| good	8.43 \| good	27.012 \| good	14 \| good	0.373 \| good	20.449 \| good	0.447 \| good
2026-01-22T05:00:00.000Z	52 \| moderate	9.552 \| good	41.548 \| good	12 \| good	0.221 \| good	16.408 \| good	0.349 \| good
2026-01-22T06:00:00.000Z	32 \| good	5.171 \| good	35.219 \| good	10 \| good	0.275 \| good	12.593 \| good	0.487 \| good
2026-01-22T07:00:00.000Z	50 \| good	9.348 \| good	54.356 \| good	10 \| good	0.374 \| good	10.011 \| good	0.481 \| good
2026-01-22T08:00:00.000Z	62 \| moderate	14.574 \| fine	69.291 \| fine	8 \| good	0.619 \| good	8.499 \| good	0.576 \| good
2026-01-22T09:00:00.000Z	60 \| moderate	14.19 \| fine	58.254 \| fine	8 \| good	0.508 \| good	8.154 \| good	0.65 \| good
2026-01-22T10:00:00.000Z	49 \| good	9.414 \| good	24.241 \| good	9 \| good	0.655 \| good	8.011 \| good	0.747 \| good
2026-01-22T11:00:00.000Z	62 \| moderate	14.817 \| fine	52.665 \| good	6 \| good	0.863 \| good	7.161 \| good	0.676 \| good
2026-01-22T12:00:00.000Z	44 \| good	8.144 \| good	22.425 \| good	3 \| good	1.167 \| good	7.241 \| good	0.752 \| good
2026-01-22T13:00:00.000Z	54 \| moderate	11.068 \| good	37.137 \| good	3 \| good	3.299 \| good	7.833 \| good	0.757 \| good
2026-01-22T14:00:00.000Z	58 \| moderate	12.519 \| fine	41.911 \| good	8 \| good	3.386 \| good	10.859 \| good	0.821 \| good
2026-01-22T15:00:00.000Z	37 \| good	5.34 \| good	28.724 \| good	10 \| good	3.44 \| good	38.771 \| good	0.976 \| good
2026-01-22T16:00:00.000Z	54 \| moderate	11.319 \| good	49.079 \| good	13 \| good	2.768 \| good	32.206 \| good	0.758 \| good
2026-01-22T17:00:00.000Z	38 \| good	6.571 \| good	34.778 \| good	14 \| good	10.835 \| good	11.011 \| good	0.612 \| good
2026-01-22T18:00:00.000Z	44 \| good	8.21 \| good	39.434 \| good	16 \| good	2.224 \| good	5.05 \| good	0.49 \| good
2026-01-22T19:00:00.000Z	28 \| good	5.009 \| good	29.627 \| good	19 \| good	0.716 \| good	6.712 \| good	0.376 \| good
2026-01-22T20:00:00.000Z	33 \| good	5.949 \| good	26.378 \| good	24 \| good	0.73 \| good	10.411 \| good	0.373 \| good
2026-01-22T21:00:00.000Z	27 \| good	5.106 \| good	23.379 \| good	26 \| good	0.157 \| good	5.408 \| good	0.205 \| good
2026-01-22T22:00:00.000Z	33 \| good	5.797 \| good	31.632 \| good	27 \| good	0.132 \| good	5.877 \| good	0.208 \| good
2026-01-22T23:00:00.000Z	27 \| good	5.138 \| good	27.911 \| good	28 \| good	0.273 \| good	6.42 \| good	0.208 \| good
2026-01-23T00:00:00.000Z	27 \| good	3.969 \| good	22.528 \| good	29 \| good	0.335 \| good	8.898 \| good	0.261 \| good
2026-01-23T01:00:00.000Z	27 \| good	4.67 \| good	19.931 \| good	26 \| good	0.212 \| good	11.122 \| good	0.264 \| good
2026-01-23T02:00:00.000Z	27 \| good	4.801 \| good	23.445 \| good	19 \| good	0.113 \| good	28.801 \| good	0.821 \| good
2026-01-23T03:00:00.000Z	33 \| good	5.569 \| good	28.587 \| good	19 \| good	0.59 \| good	23.06 \| good	0.456 \| good
2026-01-23T04:00:00.000Z	44 \| good	7.895 \| good	32.833 \| good	14 \| good	0.594 \| good	21.995 \| good	0.464 \| good
2026-01-23T05:00:00.000Z	44 \| good	7.945 \| good	33.484 \| good	14.031 \| good	0.595 \| good	22.019 \| good	0.464 \| good
2026-01-23T06:00:00.000Z	44 \| good	8.346 \| good	37.11 \| good	14.983 \| good	1.412 \| good	12.042 \| good	0.229 \| good
2026-01-23T07:00:00.000Z	58 \| moderate	13.075 \| fine	59.111 \| fine	12.688 \| good	1.228 \| good	10.203 \| good	0.213 \| good
2026-01-23T08:00:00.000Z	58 \| moderate	12.94 \| fine	58.855 \| fine	10.247 \| good	1.043 \| good	8.363 \| good	0.197 \| good
2026-01-23T09:00:00.000Z	56 \| moderate	11.595 \| good	51.21 \| good	9.651 \| good	0.859 \| good	6.524 \| good	0.181 \| good
2026-01-23T10:00:00.000Z	54 \| moderate	11.431 \| good	50.372 \| good	9.503 \| good	0.819 \| good	6.255 \| good	0.176 \| good
2026-01-23T11:00:00.000Z	44 \| good	8.474 \| good	37.218 \| good	9.335 \| good	0.78 \| good	5.986 \| good	0.171 \| good
2026-01-23T12:00:00.000Z	49 \| good	8.905 \| good	39.268 \| good	10.015 \| good	0.74 \| good	5.717 \| good	0.166 \| good
2026-01-23T13:00:00.000Z	52 \| moderate	10.142 \| good	45.236 \| good	6.176 \| good	0.826 \| good	7.465 \| good	0.184 \| good
2026-01-23T14:00:00.000Z	54 \| moderate	10.61 \| good	46.707 \| good	5.741 \| good	0.911 \| good	9.212 \| good	0.202 \| good
2026-01-23T15:00:00.000Z	27 \| good	5.285 \| good	22.77 \| good	9.498 \| good	0.996 \| good	10.96 \| good	0.22 \| good
2026-01-23T16:00:00.000Z	22 \| good	3.838 \| good	16.445 \| good	11.88 \| good	0.941 \| good	8.676 \| good	0.208 \| good
2026-01-23T17:00:00.000Z	16 \| good	2.968 \| good	12.382 \| good	17.225 \| good	0.885 \| good	6.393 \| good	0.196 \| good
2026-01-23T18:00:00.000Z	20 \| good	2.962 \| good	12.299 \| good	21.532 \| good	0.829 \| good	4.109 \| good	0.184 \| good
2026-01-23T19:00:00.000Z	25 \| good	2.496 \| good	10.154 \| good	27.085 \| good	0.768 \| good	3.528 \| good	0.172 \| good
2026-01-23T20:00:00.000Z	30 \| good	1.641 \| good	7.02 \| good	31.749 \| good	0.707 \| good	2.947 \| good	0.16 \| good
2026-01-23T21:00:00.000Z	31 \| good	1.318 \| good	5.073 \| good	34.299 \| good	0.647 \| good	2.365 \| good	0.148 \| good
2026-01-23T22:00:00.000Z	31 \| good	0.793 \| good	3.099 \| good	33.469 \| good	0.579 \| good	2.67 \| good	0.144 \| good
2026-01-23T23:00:00.000Z	31 \| good	1.167 \| good	4.962 \| good	34.334 \| good	0.512 \| good	2.976 \| good	0.14 \| good
2026-01-24T00:00:00.000Z	34 \| good	1.303 \| good	5.011 \| good	36.775 \| good	0.444 \| good	3.281 \| good	0.136 \| good
2026-01-24T01:00:00.000Z	27 \| good	2.636 \| good	10.418 \| good	28.854 \| good	0.407 \| good	3.25 \| good	0.132 \| good
2026-01-24T02:00:00.000Z	21 \| good	1.86 \| good	8.044 \| good	23.021 \| good	0.371 \| good	3.219 \| good	0.127 \| good
2026-01-24T03:00:00.000Z	27 \| good	1.767 \| good	7.11 \| good	29.206 \| good	0.334 \| good	3.187 \| good	0.123 \| good
2026-01-24T04:00:00.000Z	31 \| good	1.706 \| good	7.044 \| good	32.968 \| good	0.302 \| good	2.892 \| good	0.118 \| good
2026-01-24T05:00:00.000Z	28 \| good	3.352 \| good	15.012 \| good	29.756 \| good	0.269 \| good	2.596 \| good	0.113 \| good
2026-01-24T06:00:00.000Z	26 \| good	2.221 \| good	9.083 \| good	28.258 \| good	0.237 \| good	2.301 \| good	0.108 \| good
2026-01-24T07:00:00.000Z	22 \| good	3.732 \| good	16.206 \| good	21.792 \| good	0.214 \| good	2.082 \| good	0.106 \| good
2026-01-24T08:00:00.000Z	27 \| good	4.98 \| good	21.217 \| good	24.061 \| good	0.191 \| good	1.864 \| good	0.103 \| good
2026-01-24T09:00:00.000Z	27 \| good	5.354 \| good	23.161 \| good	21.154 \| good	0.168 \| good	1.645 \| good	0.101 \| good
2026-01-24T10:00:00.000Z	27 \| good	5.066 \| good	22.054 \| good	26.462 \| good	0.176 \| good	1.694 \| good	0.101 \| good
2026-01-24T11:00:00.000Z	27 \| good	5.116 \| good	22.042 \| good	23.815 \| good	0.185 \| good	1.744 \| good	0.101 \| good
2026-01-24T12:00:00.000Z	33 \| good	6.148 \| good	27.156 \| good	26.32 \| good	0.194 \| good	1.793 \| good	0.101 \| good
2026-01-24T13:00:00.000Z	38 \| good	6.518 \| good	29.035 \| good	22.158 \| good	0.3 \| good	3.465 \| good	0.117 \| good
2026-01-24T14:00:00.000Z	27 \| good	4.98 \| good	21.197 \| good	23.28 \| good	0.406 \| good	5.138 \| good	0.133 \| good
2026-01-24T15:00:00.000Z	19 \| good	2.341 \| good	9.959 \| good	21.498 \| good	0.513 \| good	6.81 \| good	0.149 \| good
2026-01-24T16:00:00.000Z	17 \| good	3.445 \| good	15.054 \| good	18.444 \| good	0.444 \| good	5.363 \| good	0.139 \| good
2026-01-24T17:00:00.000Z	19 \| good	2.408 \| good	10.01 \| good	19.654 \| good	0.376 \| good	3.915 \| good	0.13 \| good
2026-01-24T18:00:00.000Z	19 \| good	2.978 \| good	12.215 \| good	20.912 \| good	0.307 \| good	2.468 \| good	0.121 \| good
2026-01-24T19:00:00.000Z	27 \| good	4.579 \| good	20.056 \| good	18.874 \| good	0.242 \| good	1.922 \| good	0.115 \| good
2026-01-24T20:00:00.000Z	22 \| good	3.685 \| good	16.105 \| good	23.467 \| good	0.177 \| good	1.376 \| good	0.109 \| good
2026-01-24T21:00:00.000Z	21 \| good	3.087 \| good	12.34 \| good	23.114 \| good	0.111 \| good	0.829 \| good	0.103 \| good
2026-01-24T22:00:00.000Z	22 \| good	3.719 \| good	16.177 \| good	22.602 \| good	0.125 \| good	1.357 \| good	0.109 \| good
2026-01-24T23:00:00.000Z	21 \| good	1.298 \| good	5.105 \| good	22.611 \| good	0.139 \| good	1.884 \| good	0.115 \| good
2026-01-25T00:00:00.000Z	25 \| good	0.721 \| good	0.744 \| good	27.084 \| good	0.153 \| good	2.41 \| good	0.122 \| good
2026-01-25T01:00:00.000Z	27 \| good	4.716 \| good	20.259 \| good	16.171 \| good	0.173 \| good	2.756 \| good	0.132 \| good
2026-01-25T02:00:00.000Z	27 \| good	4.743 \| good	21 \| good	13.495 \| good	0.192 \| good	3.1 \| good	0.143 \| good
2026-01-25T03:00:00.000Z	44 \| good	7.675 \| good	33.983 \| good	17.957 \| good	0.212 \| good	3.445 \| good	0.153 \| good
2026-01-25T04:00:00.000Z	52 \| moderate	10.291 \| good	45.19 \| good	16.158 \| good	0.205 \| good	3.281 \| good	0.157 \| good
2026-01-25T05:00:00.000Z	54 \| moderate	11.142 \| good	49.156 \| good	18.382 \| good	0.199 \| good	3.116 \| good	0.161 \| good

Real-time air quality index in Los Lunas, New Mexico today

Common air pollutants in Los Lunas, New Mexico

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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

Empower business decisions with accurate air quality data

Los Lunas, New Mexico air quality map: Real-time AQI near you

Air quality in nearby cities

South Valley, New Mexico

Albuquerque, New Mexico

North Valley, New Mexico

Rio Rancho, New Mexico

Santa Fe, New Mexico

Los Alamos, New Mexico

How accurate is New Mexico, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Los Lunas, New Mexico updated?

When did Los Lunas, New Mexico experience the worst air quality in the last 24 hours?

When did Los Lunas, New Mexico have its best air quality in the last 24 hours?

What is the real-time air quality index for Los Lunas, New Mexico?

Which pollutant is found most often in Los Lunas, New Mexico?

What can I do if the air quality in Los Lunas, New Mexico is poor?

What are the current PM2.5 levels in Los Lunas, New Mexico?

What are the current PM10 levels at Los Lunas, New Mexico?

What are the current carbon monoxide (CO) levels at Los Lunas, New Mexico?

What are the current sulfur dioxide (SO2) levels at Los Lunas, New Mexico?

What are the current ozone (O3) levels at Los Lunas, New Mexico?

What are the current nitrogen dioxide (NO2) levels at Los Lunas, New Mexico?

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 Los Lunas, New Mexico?

What are the current PM₁₀ levels at Los Lunas, New Mexico?

What are the current sulfur dioxide (SO₂) levels at Los Lunas, New Mexico?

What are the current ozone (O₃) levels at Los Lunas, New Mexico?

What are the current nitrogen dioxide (NO₂) levels at Los Lunas, New Mexico?