What are the current PM10 levels at Artesia, New Mexico?

The current PM10 levels in Artesia, New Mexico are 8.887 μg/m3.

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

The current sulfur dioxide (SO2) levels in Artesia, New Mexico are 0.168 ppb.

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

The current ozone (O3) levels at Artesia, New Mexico is 39.929 ppm.

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

The current nitrogen dioxide (NO2) levels at Artesia, New Mexico is 11.3 ppb.

Real-time air quality index in Artesia, New Mexico today

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

Stay updated with real-time air quality in Artesia, 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

Artesia, New Mexico

Last updated: ... (Local time)

Common air pollutants in Artesia, New Mexico

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.10 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

43.89 μg/m³

155

255

425

605+

Ozone (O₃)

38.50 ppb

201

201+

Sulfur Dioxide (SO₂)

0.25 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.75 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.42 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

Please contact us for custom requests

Artesia, New Mexico

Scroll To Air Quality Map

Track live Artesia, New Mexico air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T07:00:00.000Z	33 \| good	4.771 \| good	27.371 \| good	36.216 \| good	0.278 \| good	5.158 \| good	0.493 \| good
2025-10-20T08:00:00.000Z	31 \| good	3.178 \| good	12.971 \| good	33.131 \| good	0.564 \| good	5.594 \| good	0.592 \| good
2025-10-20T09:00:00.000Z	24 \| good	3.166 \| good	16.484 \| good	26.191 \| good	1.646 \| good	5.578 \| good	0.313 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.659 \| good	11.285 \| good	19.831 \| good	0.737 \| good	5.919 \| good	0.321 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.789 \| good	13.466 \| good	22.732 \| good	0.481 \| good	7.058 \| good	0.291 \| good
2025-10-20T12:00:00.000Z	24 \| good	3.136 \| good	10.225 \| good	25.924 \| good	0.294 \| good	15.119 \| good	0.294 \| good
2025-10-20T13:00:00.000Z	27 \| good	2.425 \| good	8.922 \| good	29.346 \| good	0.384 \| good	15.371 \| good	0.307 \| good
2025-10-20T14:00:00.000Z	24 \| good	3.767 \| good	13.135 \| good	24.241 \| good	0.677 \| good	24.933 \| good	0.455 \| good
2025-10-20T15:00:00.000Z	24 \| good	4.186 \| good	25.931 \| good	23.528 \| good	1.203 \| good	21.23 \| good	0.777 \| good
2025-10-20T16:00:00.000Z	27 \| good	4.422 \| good	28.98 \| good	24.177 \| good	0.894 \| good	19.989 \| good	0.392 \| good
2025-10-20T17:00:00.000Z	49 \| good	9.185 \| good	44.843 \| good	32.154 \| good	2.935 \| good	12.058 \| good	0.376 \| good
2025-10-20T18:00:00.000Z	35 \| good	6.273 \| good	24.487 \| good	38.241 \| good	5.01 \| good	3.417 \| good	0.252 \| good
2025-10-20T19:00:00.000Z	39 \| good	6.408 \| good	17.051 \| good	42.354 \| good	2.763 \| good	2.75 \| good	0.207 \| good
2025-10-20T20:00:00.000Z	42 \| good	2.454 \| good	15.833 \| good	44.982 \| good	2.729 \| good	3.606 \| good	0.207 \| good
2025-10-20T21:00:00.000Z	44 \| good	2.86 \| good	14.914 \| good	48.308 \| good	1.581 \| good	5.586 \| good	0.207 \| good
2025-10-20T22:00:00.000Z	43 \| good	3.66 \| good	24.655 \| good	45.972 \| good	0.809 \| good	7.802 \| good	0.232 \| good
2025-10-20T23:00:00.000Z	44 \| good	3.038 \| good	11.388 \| good	46.746 \| good	0.628 \| good	6.259 \| good	0.232 \| good
2025-10-21T00:00:00.000Z	41 \| good	2.535 \| good	20.131 \| good	44.112 \| good	0.25 \| good	4.779 \| good	0.224 \| good
2025-10-21T01:00:00.000Z	42 \| good	2.662 \| good	16.605 \| good	44.659 \| good	0.232 \| good	8.887 \| good	0.224 \| good
2025-10-21T02:00:00.000Z	38 \| good	2.939 \| good	20.974 \| good	40.784 \| good	0.26 \| good	10.669 \| good	0.24 \| good
2025-10-21T03:00:00.000Z	30 \| good	2.962 \| good	12.559 \| good	32.197 \| good	0.151 \| good	4.044 \| good	0.159 \| good
2025-10-21T04:00:00.000Z	37 \| good	2.043 \| good	8.887 \| good	39.929 \| good	0.168 \| good	11.3 \| good	0.391 \| good
2025-10-21T05:00:00.000Z	34 \| good	2.385 \| good	14.713 \| good	37 \| good	0.382 \| good	6.195 \| good	0.391 \| good
2025-10-21T06:00:00.000Z	27 \| good	1.057 \| good	5.363 \| good	28.64 \| good	0.246 \| good	3.283 \| good	0.327 \| good
2025-10-21T07:00:00.000Z	33 \| good	1.069 \| good	9.875 \| good	36.461 \| good	0.183 \| good	2.986 \| good	0.33 \| good
2025-10-21T08:00:00.000Z	31 \| good	0.785 \| good	14.963 \| good	34.312 \| good	0.472 \| good	5.331 \| good	0.319 \| good
2025-10-21T09:00:00.000Z	27 \| good	3.087 \| good	14.292 \| good	28.735 \| good	0.416 \| good	6.2 \| good	0.31 \| good
2025-10-21T10:00:00.000Z	28 \| good	2.591 \| good	13.265 \| good	29.783 \| good	0.84 \| good	3.144 \| good	0.249 \| good
2025-10-21T11:00:00.000Z	34 \| good	3.19 \| good	24.023 \| good	37.183 \| good	3.102 \| good	2.863 \| good	0.213 \| good
2025-10-21T12:00:00.000Z	25 \| good	2.329 \| good	10.445 \| good	26.862 \| good	6.106 \| good	2.908 \| good	0.249 \| good
2025-10-21T13:00:00.000Z	21 \| good	1.79 \| good	15.139 \| good	23.29 \| good	0.53 \| good	2.377 \| good	0.262 \| good
2025-10-21T14:00:00.000Z	30 \| good	4.183 \| good	32.468 \| good	26.224 \| good	1.102 \| good	3.655 \| good	1.249 \| good
2025-10-21T15:00:00.000Z	56 \| moderate	4.236 \| good	65.706 \| fine	29.475 \| good	1.87 \| good	4.476 \| good	0.423 \| good
2025-10-21T16:00:00.000Z	39 \| good	4.473 \| good	41.843 \| good	32.311 \| good	1.405 \| good	4.072 \| good	0.253 \| good
2025-10-21T17:00:00.000Z	45 \| good	4.633 \| good	49.34 \| good	36.394 \| good	1.554 \| good	4.202 \| good	0.204 \| good
2025-10-21T18:00:00.000Z	36 \| good	3.125 \| good	30.02 \| good	38.577 \| good	2.04 \| good	3.514 \| good	0.171 \| good
2025-10-21T19:00:00.000Z	36 \| good	3.911 \| good	33.081 \| good	39.456 \| good	0.293 \| good	3.109 \| good	0.155 \| good
2025-10-21T20:00:00.000Z	39 \| good	4.052 \| good	25.678 \| good	42.323 \| good	0.533 \| good	3.041 \| good	0.201 \| good
2025-10-21T21:00:00.000Z	41 \| good	4.091 \| good	30.056 \| good	43.592 \| good	0.348 \| good	2.991 \| good	0.222 \| good
2025-10-21T22:00:00.000Z	44 \| good	3.718 \| good	23.881 \| good	48.256 \| good	0.232 \| good	2.291 \| good	0.172 \| good
2025-10-21T23:00:00.000Z	46 \| good	4.808 \| good	21.19 \| good	49.748 \| good	0.23 \| good	3.1 \| good	0.18 \| good
2025-10-22T00:00:00.000Z	44 \| good	3.985 \| good	15.456 \| good	48.303 \| good	0.488 \| good	3.728 \| good	0.187 \| good
2025-10-22T01:00:00.000Z	46 \| good	4.081 \| good	19.758 \| good	50.313 \| good	0.262 \| good	6.962 \| good	0.356 \| good
2025-10-22T02:00:00.000Z	44 \| good	4.183 \| good	21.403 \| good	48.361 \| good	0.424 \| good	7.263 \| good	0.437 \| good
2025-10-22T03:00:00.000Z	35 \| good	5.875 \| good	25.652 \| good	37.57 \| good	0.21 \| good	1.704 \| good	0.141 \| good
2025-10-22T04:00:00.000Z	51 \| moderate	6.357 \| good	56.286 \| fine	43.095 \| good	0.266 \| good	8.081 \| good	0.589 \| good
2025-10-22T05:00:00.000Z	40 \| good	5.784 \| good	33.352 \| good	43.45 \| good	0.263 \| good	5.122 \| good	0.375 \| good
2025-10-22T06:00:00.000Z	41 \| good	5.099 \| good	43.893 \| good	38.503 \| good	0.247 \| good	3.748 \| good	0.416 \| good
2025-10-22T06:00:00.000Z	41 \| good	5.099 \| good	43.893 \| good	38.503 \| good	0.247 \| good	3.748 \| good	0.416 \| good
2025-10-21T05:00:00.000Z	28 \| good	1.777 \| good	7.397 \| good	30.426 \| good	0.125 \| good	5.098 \| good	0.177 \| good
2025-10-21T06:00:00.000Z	21 \| good	2.366 \| good	9.579 \| good	23.277 \| good	0.111 \| good	5.409 \| good	0.18 \| good
2025-10-21T07:00:00.000Z	23 \| good	4.268 \| good	18.69 \| good	25.295 \| good	0.102 \| good	4.777 \| good	0.169 \| good
2025-10-21T08:00:00.000Z	38 \| good	6.582 \| good	29.112 \| good	26.376 \| good	0.092 \| good	4.144 \| good	0.158 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.232 \| good	27.595 \| good	26.881 \| good	0.083 \| good	3.512 \| good	0.147 \| good
2025-10-21T10:00:00.000Z	33 \| good	6.303 \| good	28.038 \| good	28.434 \| good	0.105 \| good	3.008 \| good	0.137 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.004 \| good	26.713 \| good	29.732 \| good	0.127 \| good	2.504 \| good	0.126 \| good
2025-10-21T12:00:00.000Z	33 \| good	6.32 \| good	28.169 \| good	25.532 \| good	0.149 \| good	2 \| good	0.116 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.73 \| good	25.089 \| good	23.573 \| good	0.155 \| good	1.82 \| good	0.118 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.166 \| good	27.435 \| good	25.195 \| good	0.16 \| good	1.64 \| good	0.12 \| good
2025-10-21T15:00:00.000Z	31 \| good	4.532 \| good	19.734 \| good	32.614 \| good	0.166 \| good	1.46 \| good	0.121 \| good
2025-10-21T16:00:00.000Z	35 \| good	4.403 \| good	19.35 \| good	38.25 \| good	0.177 \| good	1.123 \| good	0.116 \| good
2025-10-21T17:00:00.000Z	40 \| good	4.287 \| good	18.637 \| good	43.452 \| good	0.189 \| good	0.786 \| good	0.111 \| good
2025-10-21T18:00:00.000Z	43 \| good	4.025 \| good	17.534 \| good	46.032 \| good	0.201 \| good	0.449 \| good	0.106 \| good
2025-10-21T19:00:00.000Z	44 \| good	4.447 \| good	19.096 \| good	47.541 \| good	0.205 \| good	0.41 \| good	0.106 \| good
2025-10-21T20:00:00.000Z	47 \| good	4.71 \| good	20.51 \| good	51.433 \| good	0.209 \| good	0.371 \| good	0.106 \| good
2025-10-21T21:00:00.000Z	48 \| good	4 \| good	17.476 \| good	51.738 \| good	0.212 \| good	0.333 \| good	0.106 \| good
2025-10-21T22:00:00.000Z	50 \| good	4.36 \| good	18.999 \| good	54.27 \| good	0.213 \| good	0.439 \| good	0.108 \| good
2025-10-21T23:00:00.000Z	49 \| good	4.395 \| good	19.028 \| good	52.843 \| good	0.214 \| good	0.545 \| good	0.109 \| good
2025-10-22T00:00:00.000Z	41 \| good	4.536 \| good	19.674 \| good	43.948 \| good	0.214 \| good	0.651 \| good	0.111 \| good
2025-10-22T01:00:00.000Z	37 \| good	5.653 \| good	24.485 \| good	39.972 \| good	0.213 \| good	1.049 \| good	0.118 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.986 \| good	26.808 \| good	36.119 \| good	0.211 \| good	1.447 \| good	0.125 \| good
2025-10-22T03:00:00.000Z	31 \| good	5.157 \| good	22.291 \| good	33.539 \| good	0.209 \| good	1.845 \| good	0.133 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.864 \| good	25.883 \| good	33.957 \| good	0.206 \| good	1.741 \| good	0.13 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.197 \| good	27.456 \| good	33.113 \| good	0.203 \| good	1.637 \| good	0.128 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.625 \| good	29.842 \| good	28.419 \| good	0.199 \| good	1.534 \| good	0.126 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.542 \| good	29.381 \| good	27.605 \| good	0.201 \| good	1.525 \| good	0.125 \| good
2025-10-22T08:00:00.000Z	33 \| good	6.397 \| good	28.426 \| good	27.677 \| good	0.202 \| good	1.516 \| good	0.123 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.612 \| good	24.241 \| good	27.615 \| good	0.204 \| good	1.507 \| good	0.122 \| good
2025-10-22T10:00:00.000Z	27 \| good	4.615 \| good	20.155 \| good	25.357 \| good	0.211 \| good	1.557 \| good	0.122 \| good
2025-10-22T11:00:00.000Z	22 \| good	4.404 \| good	19.032 \| good	21.527 \| good	0.218 \| good	1.606 \| good	0.123 \| good
2025-10-22T12:00:00.000Z	22 \| good	4.175 \| good	18.287 \| good	21.503 \| good	0.226 \| good	1.656 \| good	0.123 \| good
2025-10-22T13:00:00.000Z	22 \| good	4.303 \| good	18.927 \| good	20.492 \| good	0.239 \| good	1.7 \| good	0.13 \| good
2025-10-22T14:00:00.000Z	27 \| good	4.816 \| good	21.147 \| good	25.947 \| good	0.253 \| good	1.744 \| good	0.138 \| good
2025-10-22T15:00:00.000Z	32 \| good	3.931 \| good	17.248 \| good	34.761 \| good	0.266 \| good	1.788 \| good	0.146 \| good
2025-10-22T16:00:00.000Z	36 \| good	4.169 \| good	18.359 \| good	38.581 \| good	0.278 \| good	1.345 \| good	0.14 \| good
2025-10-22T17:00:00.000Z	39 \| good	4.148 \| good	18.326 \| good	42.304 \| good	0.289 \| good	0.902 \| good	0.134 \| good
2025-10-22T18:00:00.000Z	44 \| good	4.19 \| good	18.584 \| good	47.236 \| good	0.3 \| good	0.458 \| good	0.128 \| good
2025-10-22T19:00:00.000Z	48 \| good	4.224 \| good	18.517 \| good	52.336 \| good	0.283 \| good	0.427 \| good	0.125 \| good
2025-10-22T20:00:00.000Z	50 \| good	3.697 \| good	16.028 \| good	54.036 \| good	0.266 \| good	0.396 \| good	0.123 \| good
2025-10-22T21:00:00.000Z	50 \| good	3.486 \| good	15.425 \| good	53.792 \| good	0.249 \| good	0.366 \| good	0.12 \| good
2025-10-22T22:00:00.000Z	46 \| good	3.682 \| good	16.13 \| good	50.485 \| good	0.261 \| good	0.555 \| good	0.122 \| good
2025-10-22T23:00:00.000Z	44 \| good	4.117 \| good	18.103 \| good	46.795 \| good	0.272 \| good	0.744 \| good	0.123 \| good
2025-10-23T00:00:00.000Z	47 \| good	3.795 \| good	5.15 \| good	51.16 \| good	0.287 \| good	0.945 \| good	0.126 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.706 \| good	25.236 \| good	35.009 \| good	0.338 \| good	1.204 \| good	0.133 \| good
2025-10-23T02:00:00.000Z	44 \| good	7.579 \| good	33.394 \| good	33.686 \| good	0.392 \| good	1.475 \| good	0.141 \| good
2025-10-23T03:00:00.000Z	28 \| good	3.657 \| good	15.713 \| good	29.704 \| good	0.446 \| good	1.746 \| good	0.149 \| good
2025-10-23T04:00:00.000Z	26 \| good	2.756 \| good	11.385 \| good	27.618 \| good	0.456 \| good	1.844 \| good	0.151 \| good

Artesia

Empower business decisions with accurate air quality data

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

0.12ppm

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

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 frequently is the air quality data for Artesia, New Mexico updated?

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

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

The worst air quality in Artesia, New Mexico was recorded at 05:00:00 on 2025-10-20.

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

The best air quality in Artesia, New Mexico was recorded at 11:00:00 on 2025-10-20.

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

The real-time air quality index in Artesia, New Mexico is 37, currently categorized as Good.

Which pollutant is found most often in Artesia, New Mexico?

The most common pollutant in Artesia, New Mexico is O3.

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

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

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

The measured PM_2.5 levels in Artesia, New Mexico at present are 2.043 μg/m³.

What are the current PM₁₀ levels at Artesia, New Mexico?

The current PM₁₀ levels in Artesia, New Mexico are 8.887 μg/m³.

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

The current carbon monoxide (CO) level in Artesia, New Mexico is 0.391 ppm.

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

The current sulfur dioxide (SO₂) levels in Artesia, New Mexico are 0.168 ppb.

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

The current ozone (O₃) levels at Artesia, New Mexico is 39.929 ppm.

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

The current nitrogen dioxide (NO₂) levels at Artesia, New Mexico is 11.3 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions