What is the current level of PM10 in Santa Fe, New Mexico?

Santa Fe, New Mexico currently has a PM10 concentration of 20.329 μg/m3.

What is the current level of sulfur dioxide (SO2) in Santa Fe, New Mexico?

The current sulfur dioxide (SO2) concentration in Santa Fe, New Mexico is 0.207 ppb.

What is the current level of ozone (O3) in Santa Fe, New Mexico?

Santa Fe, New Mexico currently has an ozone (O3) concentration of 37.729 ppm.

What is the current level of nitrogen dioxide (NO2) in Santa Fe, New Mexico?

The current level of nitrogen dioxide (NO2) in Santa Fe, New Mexico is 4.772 ppb.

Current air quality index in Santa Fe, New Mexico today

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

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

Santa Fe, New Mexico

Last updated: ... (Local time)

Common air pollutants in Santa Fe, New Mexico

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.72 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

20.33 μg/m³

155

255

425

605+

Ozone (O₃)

37.73 ppb

201

201+

Sulfur Dioxide (SO₂)

0.21 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.77 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Santa Fe, New Mexico

Get Live Pollen Counts

Santa Fe, New Mexico

Scroll To Air Quality Map

Track live Santa Fe, 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	2.188 \| good	9.101 \| good	35.798 \| good	0.369 \| good	5.477 \| good	0.486 \| good
2025-10-20T08:00:00.000Z	26 \| good	1.902 \| good	6.013 \| good	27.544 \| good	0.575 \| good	4.416 \| good	0.7 \| good
2025-10-20T09:00:00.000Z	35 \| good	2.756 \| good	11.444 \| good	37.624 \| good	1.057 \| good	6.488 \| good	0.297 \| good
2025-10-20T10:00:00.000Z	31 \| good	1.894 \| good	5.41 \| good	34.441 \| good	0.568 \| good	6.611 \| good	0.287 \| good
2025-10-20T11:00:00.000Z	34 \| good	2.316 \| good	7.946 \| good	36.777 \| good	0.482 \| good	9.682 \| good	0.22 \| good
2025-10-20T12:00:00.000Z	35 \| good	3.437 \| good	10.347 \| good	38.427 \| good	0.332 \| good	11.84 \| good	0.214 \| good
2025-10-20T13:00:00.000Z	31 \| good	1.503 \| good	9.25 \| good	33.413 \| good	0.355 \| good	11.877 \| good	0.222 \| good
2025-10-20T14:00:00.000Z	36 \| good	5.914 \| good	39.344 \| good	33.99 \| good	0.362 \| good	14.778 \| good	0.38 \| good
2025-10-20T15:00:00.000Z	41 \| good	5.785 \| good	44.471 \| good	39.839 \| good	0.736 \| good	12.622 \| good	0.934 \| good
2025-10-20T16:00:00.000Z	33 \| good	4.023 \| good	33.332 \| good	36.338 \| good	0.494 \| good	15.617 \| good	0.395 \| good
2025-10-20T17:00:00.000Z	56 \| moderate	11.518 \| good	46.987 \| good	31.682 \| good	0.853 \| good	14.963 \| good	0.395 \| good
2025-10-20T18:00:00.000Z	44 \| good	7.661 \| good	45.178 \| good	37.445 \| good	1.373 \| good	9.596 \| good	0.233 \| good
2025-10-20T19:00:00.000Z	39 \| good	4.267 \| good	20.78 \| good	42.182 \| good	0.453 \| good	5.146 \| good	0.179 \| good
2025-10-20T20:00:00.000Z	40 \| good	3.371 \| good	14.18 \| good	42.98 \| good	0.395 \| good	3.291 \| good	0.179 \| good
2025-10-20T21:00:00.000Z	44 \| good	3.141 \| good	22.903 \| good	46.808 \| good	0.371 \| good	2.994 \| good	0.179 \| good
2025-10-20T22:00:00.000Z	44 \| good	2.564 \| good	12.766 \| good	47.908 \| good	0.351 \| good	3.937 \| good	0.191 \| good
2025-10-20T23:00:00.000Z	44 \| good	2.3 \| good	25.528 \| good	47.01 \| good	0.342 \| good	2.053 \| good	0.191 \| good
2025-10-21T00:00:00.000Z	41 \| good	1.928 \| good	21.834 \| good	44.072 \| good	0.26 \| good	2.085 \| good	0.191 \| good
2025-10-21T01:00:00.000Z	35 \| good	2.244 \| good	14.535 \| good	38.268 \| good	0.242 \| good	3.181 \| good	0.191 \| good
2025-10-21T02:00:00.000Z	35 \| good	4.863 \| good	22.679 \| good	38.34 \| good	0.209 \| good	5.058 \| good	0.189 \| good
2025-10-21T03:00:00.000Z	15 \| good	1.104 \| good	4.63 \| good	16.05 \| good	0.559 \| good	4.331 \| good	0.138 \| good
2025-10-21T04:00:00.000Z	28 \| good	1.025 \| good	5.873 \| good	30.034 \| good	0.233 \| good	7.326 \| good	0.366 \| good
2025-10-21T05:00:00.000Z	29 \| good	1.789 \| good	12.084 \| good	30.593 \| good	0.498 \| good	7.515 \| good	0.377 \| good
2025-10-21T06:00:00.000Z	35 \| good	2.083 \| good	9.071 \| good	38.012 \| good	0.304 \| good	6.302 \| good	0.268 \| good
2025-10-21T07:00:00.000Z	37 \| good	2.81 \| good	19.692 \| good	39.739 \| good	0.225 \| good	5.454 \| good	0.298 \| good
2025-10-21T08:00:00.000Z	37 \| good	2.733 \| good	11.586 \| good	39.552 \| good	0.387 \| good	6.229 \| good	0.256 \| good
2025-10-21T09:00:00.000Z	34 \| good	2.814 \| good	8.666 \| good	37.033 \| good	0.448 \| good	8.084 \| good	0.256 \| good
2025-10-21T10:00:00.000Z	32 \| good	3.573 \| good	7.677 \| good	34.974 \| good	0.423 \| good	8.227 \| good	0.2 \| good
2025-10-21T11:00:00.000Z	33 \| good	2.343 \| good	6.928 \| good	36.428 \| good	0.526 \| good	7.102 \| good	0.148 \| good
2025-10-21T12:00:00.000Z	30 \| good	4.873 \| good	24.463 \| good	32.103 \| good	3.426 \| good	10.358 \| good	0.223 \| good
2025-10-21T13:00:00.000Z	26 \| good	3.644 \| good	19.732 \| good	28.361 \| good	0.529 \| good	10.734 \| good	0.206 \| good
2025-10-21T14:00:00.000Z	25 \| good	3.829 \| good	26.926 \| good	25.606 \| good	0.887 \| good	14.656 \| good	1.645 \| good
2025-10-21T15:00:00.000Z	45 \| good	4.739 \| good	49.296 \| good	35.014 \| good	1.202 \| good	16.613 \| good	0.387 \| good
2025-10-21T16:00:00.000Z	34 \| good	2.766 \| good	28.159 \| good	36.722 \| good	0.664 \| good	10.598 \| good	0.206 \| good
2025-10-21T17:00:00.000Z	44 \| good	7.78 \| good	24.662 \| good	34.929 \| good	0.606 \| good	10.223 \| good	0.17 \| good
2025-10-21T18:00:00.000Z	40 \| good	5.892 \| good	43.315 \| good	37.004 \| good	0.749 \| good	5.926 \| good	0.146 \| good
2025-10-21T19:00:00.000Z	57 \| moderate	5.98 \| good	66.731 \| fine	37.158 \| good	0.305 \| good	4.612 \| good	0.135 \| good
2025-10-21T20:00:00.000Z	35 \| good	5.613 \| good	34.595 \| good	37.506 \| good	0.488 \| good	3.582 \| good	0.186 \| good
2025-10-21T21:00:00.000Z	38 \| good	3.439 \| good	28.321 \| good	40.698 \| good	0.395 \| good	3.061 \| good	0.209 \| good
2025-10-21T22:00:00.000Z	40 \| good	3.965 \| good	36.571 \| good	42.673 \| good	0.312 \| good	2.642 \| good	0.148 \| good
2025-10-21T23:00:00.000Z	40 \| good	3.98 \| good	36.095 \| good	43.39 \| good	0.268 \| good	3.029 \| good	0.148 \| good
2025-10-22T00:00:00.000Z	41 \| good	5.384 \| good	20.843 \| good	43.961 \| good	0.355 \| good	4.077 \| good	0.169 \| good
2025-10-22T01:00:00.000Z	39 \| good	3.301 \| good	25.29 \| good	42.313 \| good	0.29 \| good	5.516 \| good	0.297 \| good
2025-10-22T02:00:00.000Z	30 \| good	2.532 \| good	12.669 \| good	32.104 \| good	0.451 \| good	7.959 \| good	0.414 \| good
2025-10-22T03:00:00.000Z	17 \| good	1.799 \| good	7.312 \| good	18.223 \| good	0.731 \| good	5.121 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	30 \| good	2.663 \| good	17.845 \| good	31.871 \| good	0.327 \| good	8.471 \| good	0.475 \| good
2025-10-22T05:00:00.000Z	40 \| good	2.84 \| good	23.454 \| good	42.65 \| good	0.258 \| good	6.207 \| good	0.181 \| good
2025-10-22T06:00:00.000Z	35 \| good	3.722 \| good	20.329 \| good	37.729 \| good	0.207 \| good	4.772 \| good	0.195 \| good
2025-10-22T06:00:00.000Z	35 \| good	3.722 \| good	20.329 \| good	37.729 \| good	0.207 \| good	4.772 \| good	0.195 \| good
2025-10-22T07:00:00.000Z	38 \| good	2.882 \| good	12.388 \| good	40.979 \| good	0.644 \| good	5.039 \| good	0.151 \| good
2025-10-22T08:00:00.000Z	39 \| good	1.299 \| good	5.219 \| good	42.12 \| good	0.588 \| good	4.811 \| good	0.148 \| good
2025-10-22T09:00:00.000Z	36 \| good	3.142 \| good	13.566 \| good	38.844 \| good	0.532 \| good	4.583 \| good	0.145 \| good
2025-10-22T10:00:00.000Z	29 \| good	2.121 \| good	8.952 \| good	31.289 \| good	0.497 \| good	4.408 \| good	0.142 \| good
2025-10-22T11:00:00.000Z	28 \| good	1.605 \| good	6.374 \| good	30.072 \| good	0.461 \| good	4.233 \| good	0.139 \| good
2025-10-22T12:00:00.000Z	25 \| good	1.807 \| good	7.141 \| good	27.225 \| good	0.425 \| good	4.058 \| good	0.136 \| good
2025-10-22T13:00:00.000Z	23 \| good	1.593 \| good	6.382 \| good	25.146 \| good	0.404 \| good	3.989 \| good	0.142 \| good
2025-10-22T14:00:00.000Z	25 \| good	2.924 \| good	12.874 \| good	27.368 \| good	0.382 \| good	3.919 \| good	0.149 \| good
2025-10-22T15:00:00.000Z	29 \| good	2.936 \| good	12.564 \| good	31.46 \| good	0.361 \| good	3.85 \| good	0.155 \| good
2025-10-22T16:00:00.000Z	31 \| good	1.191 \| good	4.811 \| good	33.645 \| good	0.369 \| good	2.831 \| good	0.14 \| good
2025-10-22T17:00:00.000Z	35 \| good	4.917 \| good	21.19 \| good	37.882 \| good	0.376 \| good	1.812 \| good	0.125 \| good
2025-10-22T18:00:00.000Z	38 \| good	4.172 \| good	17.925 \| good	40.594 \| good	0.384 \| good	0.792 \| good	0.111 \| good
2025-10-22T19:00:00.000Z	36 \| good	5.796 \| good	25.294 \| good	39.328 \| good	0.367 \| good	0.757 \| good	0.11 \| good
2025-10-22T20:00:00.000Z	38 \| good	7.469 \| good	32.629 \| good	38.887 \| good	0.35 \| good	0.722 \| good	0.108 \| good
2025-10-22T21:00:00.000Z	38 \| good	5.786 \| good	25.45 \| good	41.025 \| good	0.333 \| good	0.687 \| good	0.107 \| good
2025-10-22T22:00:00.000Z	38 \| good	6.568 \| good	28.911 \| good	40.358 \| good	0.38 \| good	1.18 \| good	0.111 \| good
2025-10-22T23:00:00.000Z	44 \| good	7.942 \| good	35.051 \| good	38.325 \| good	0.427 \| good	1.672 \| good	0.116 \| good
2025-10-23T00:00:00.000Z	33 \| good	5.693 \| good	24.841 \| good	30.807 \| good	0.475 \| good	2.165 \| good	0.12 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.507 \| good	24.134 \| good	19.334 \| good	0.519 \| good	3.09 \| good	0.128 \| good
2025-10-23T02:00:00.000Z	13 \| good	1.471 \| good	6.044 \| good	14.143 \| good	0.562 \| good	4.014 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	10 \| good	1.188 \| good	4.964 \| good	11.173 \| good	0.606 \| good	4.939 \| good	0.146 \| good
2025-10-23T04:00:00.000Z	14 \| good	1.678 \| good	6.676 \| good	15.021 \| good	0.605 \| good	4.979 \| good	0.145 \| good
2025-10-23T05:00:00.000Z	19 \| good	1.562 \| good	6.425 \| good	20.201 \| good	0.604 \| good	5.018 \| good	0.145 \| good
2025-10-23T06:00:00.000Z	21 \| good	2.18 \| good	9.151 \| good	23.451 \| good	0.604 \| good	5.058 \| good	0.144 \| good
2025-10-23T07:00:00.000Z	24 \| good	1.146 \| good	4.78 \| good	25.653 \| good	0.561 \| good	4.602 \| good	0.137 \| good
2025-10-23T08:00:00.000Z	27 \| good	1.092 \| good	4.698 \| good	28.887 \| good	0.519 \| good	4.146 \| good	0.131 \| good
2025-10-23T09:00:00.000Z	27 \| good	0.618 \| good	2.378 \| good	28.524 \| good	0.476 \| good	3.69 \| good	0.124 \| good
2025-10-23T10:00:00.000Z	27 \| good	1.26 \| good	4.998 \| good	29.242 \| good	0.451 \| good	3.728 \| good	0.122 \| good
2025-10-23T11:00:00.000Z	23 \| good	2.842 \| good	11.568 \| good	24.576 \| good	0.425 \| good	3.767 \| good	0.12 \| good
2025-10-23T12:00:00.000Z	22 \| good	4.434 \| good	19.373 \| good	21.715 \| good	0.399 \| good	3.805 \| good	0.119 \| good
2025-10-23T13:00:00.000Z	18 \| good	2.898 \| good	12.479 \| good	19.2 \| good	0.383 \| good	4.009 \| good	0.128 \| good
2025-10-23T14:00:00.000Z	52 \| moderate	10.249 \| good	45.375 \| good	21.53 \| good	0.368 \| good	4.214 \| good	0.138 \| good
2025-10-23T15:00:00.000Z	44 \| good	8.17 \| good	35.769 \| good	30.045 \| good	0.352 \| good	4.418 \| good	0.148 \| good
2025-10-23T16:00:00.000Z	33 \| good	4.42 \| good	19.107 \| good	35.796 \| good	0.349 \| good	3.083 \| good	0.132 \| good
2025-10-23T17:00:00.000Z	33 \| good	5.827 \| good	25.634 \| good	36.125 \| good	0.347 \| good	1.749 \| good	0.115 \| good
2025-10-23T18:00:00.000Z	36 \| good	2.407 \| good	9.75 \| good	38.799 \| good	0.345 \| good	0.415 \| good	0.098 \| good
2025-10-23T19:00:00.000Z	38 \| good	3.733 \| good	16.398 \| good	41.05 \| good	0.312 \| good	0.375 \| good	0.097 \| good
2025-10-23T20:00:00.000Z	42 \| good	3.71 \| good	16.458 \| good	45.289 \| good	0.279 \| good	0.334 \| good	0.097 \| good
2025-10-23T21:00:00.000Z	41 \| good	1.549 \| good	6 \| good	44.304 \| good	0.246 \| good	0.294 \| good	0.096 \| good
2025-10-23T22:00:00.000Z	40 \| good	2.025 \| good	8.429 \| good	43.155 \| good	0.216 \| good	0.673 \| good	0.099 \| good
2025-10-23T23:00:00.000Z	40 \| good	1.611 \| good	6.488 \| good	42.688 \| good	0.185 \| good	1.053 \| good	0.103 \| good
2025-10-24T00:00:00.000Z	41 \| good	0.653 \| good	2 \| good	43.712 \| good	0.155 \| good	1.432 \| good	0.106 \| good
2025-10-24T01:00:00.000Z	42 \| good	2.115 \| good	8.817 \| good	44.618 \| good	0.162 \| good	1.808 \| good	0.11 \| good
2025-10-24T02:00:00.000Z	41 \| good	0.592 \| good	2.232 \| good	43.66 \| good	0.169 \| good	2.184 \| good	0.114 \| good
2025-10-24T03:00:00.000Z	29 \| good	1.018 \| good	3.879 \| good	30.702 \| good	0.176 \| good	2.56 \| good	0.118 \| good
2025-10-24T04:00:00.000Z	24 \| good	1.002 \| good	4.23 \| good	26.184 \| good	0.167 \| good	2.749 \| good	0.12 \| good
2025-10-24T05:00:00.000Z	27 \| good	0.964 \| good	3.848 \| good	28.776 \| good	0.159 \| good	2.938 \| good	0.121 \| good
2025-10-24T06:00:00.000Z	32 \| good	5.085 \| good	5.151 \| good	34.64 \| good	0.15 \| good	3.14 \| good	0.123 \| good

Santa Fe

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Santa Fe, New Mexico

0.11ppm

How accurate is New Mexico, USA air quality data?

The air quality data for New Mexico, 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

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 does the air quality data for Santa Fe, New Mexico get updated?

Air quality updates for Santa Fe, New Mexico are available every hour.

What time in the past 24 hours saw the poorest air quality in Santa Fe, New Mexico?

Santa Fe, New Mexico experienced its worst air quality at 07:00:00, 2025-10-21.

When was air quality in Santa Fe, New Mexico the best over the past 24 hours?

The best air quality in Santa Fe, New Mexico was observed at 03:00:00 on 2025-10-22.

What is the air quality in Santa Fe, New Mexico right now?

The air quality in Santa Fe, New Mexico right now is Good, with an AQI of 35.

What pollutant is most frequently found in Santa Fe, New Mexico?

In Santa Fe, New Mexico, O3 is the most frequently found pollutant.

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

When air quality in Santa Fe, New Mexico is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Santa Fe, New Mexico right now?

Santa Fe, New Mexico currently has a PM_2.5 concentration of 3.722 μg/m³.

What is the current level of PM₁₀ in Santa Fe, New Mexico?

Santa Fe, New Mexico currently has a PM₁₀ concentration of 20.329 μg/m³.

What is the current level of carbon monoxide (CO) in Santa Fe, New Mexico?

The current carbon monoxide (CO) level in Santa Fe, New Mexico is 0.195 ppm.

What is the current level of sulfur dioxide (SO₂) in Santa Fe, New Mexico?

The current sulfur dioxide (SO₂) concentration in Santa Fe, New Mexico is 0.207 ppb.

What is the current level of ozone (O₃) in Santa Fe, New Mexico?

Santa Fe, New Mexico currently has an ozone (O₃) concentration of 37.729 ppm.

What is the current level of nitrogen dioxide (NO₂) in Santa Fe, New Mexico?

The current level of nitrogen dioxide (NO₂) in Santa Fe, New Mexico is 4.772 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	33 \| good	2.188 \| good	9.101 \| good	35.798 \| good	0.369 \| good	5.477 \| good	0.486 \| good
2025-10-20T08:00:00.000Z	26 \| good	1.902 \| good	6.013 \| good	27.544 \| good	0.575 \| good	4.416 \| good	0.7 \| good
2025-10-20T09:00:00.000Z	35 \| good	2.756 \| good	11.444 \| good	37.624 \| good	1.057 \| good	6.488 \| good	0.297 \| good
2025-10-20T10:00:00.000Z	31 \| good	1.894 \| good	5.41 \| good	34.441 \| good	0.568 \| good	6.611 \| good	0.287 \| good
2025-10-20T11:00:00.000Z	34 \| good	2.316 \| good	7.946 \| good	36.777 \| good	0.482 \| good	9.682 \| good	0.22 \| good
2025-10-20T12:00:00.000Z	35 \| good	3.437 \| good	10.347 \| good	38.427 \| good	0.332 \| good	11.84 \| good	0.214 \| good
2025-10-20T13:00:00.000Z	31 \| good	1.503 \| good	9.25 \| good	33.413 \| good	0.355 \| good	11.877 \| good	0.222 \| good
2025-10-20T14:00:00.000Z	36 \| good	5.914 \| good	39.344 \| good	33.99 \| good	0.362 \| good	14.778 \| good	0.38 \| good
2025-10-20T15:00:00.000Z	41 \| good	5.785 \| good	44.471 \| good	39.839 \| good	0.736 \| good	12.622 \| good	0.934 \| good
2025-10-20T16:00:00.000Z	33 \| good	4.023 \| good	33.332 \| good	36.338 \| good	0.494 \| good	15.617 \| good	0.395 \| good
2025-10-20T17:00:00.000Z	56 \| moderate	11.518 \| good	46.987 \| good	31.682 \| good	0.853 \| good	14.963 \| good	0.395 \| good
2025-10-20T18:00:00.000Z	44 \| good	7.661 \| good	45.178 \| good	37.445 \| good	1.373 \| good	9.596 \| good	0.233 \| good
2025-10-20T19:00:00.000Z	39 \| good	4.267 \| good	20.78 \| good	42.182 \| good	0.453 \| good	5.146 \| good	0.179 \| good
2025-10-20T20:00:00.000Z	40 \| good	3.371 \| good	14.18 \| good	42.98 \| good	0.395 \| good	3.291 \| good	0.179 \| good
2025-10-20T21:00:00.000Z	44 \| good	3.141 \| good	22.903 \| good	46.808 \| good	0.371 \| good	2.994 \| good	0.179 \| good
2025-10-20T22:00:00.000Z	44 \| good	2.564 \| good	12.766 \| good	47.908 \| good	0.351 \| good	3.937 \| good	0.191 \| good
2025-10-20T23:00:00.000Z	44 \| good	2.3 \| good	25.528 \| good	47.01 \| good	0.342 \| good	2.053 \| good	0.191 \| good
2025-10-21T00:00:00.000Z	41 \| good	1.928 \| good	21.834 \| good	44.072 \| good	0.26 \| good	2.085 \| good	0.191 \| good
2025-10-21T01:00:00.000Z	35 \| good	2.244 \| good	14.535 \| good	38.268 \| good	0.242 \| good	3.181 \| good	0.191 \| good
2025-10-21T02:00:00.000Z	35 \| good	4.863 \| good	22.679 \| good	38.34 \| good	0.209 \| good	5.058 \| good	0.189 \| good
2025-10-21T03:00:00.000Z	15 \| good	1.104 \| good	4.63 \| good	16.05 \| good	0.559 \| good	4.331 \| good	0.138 \| good
2025-10-21T04:00:00.000Z	28 \| good	1.025 \| good	5.873 \| good	30.034 \| good	0.233 \| good	7.326 \| good	0.366 \| good
2025-10-21T05:00:00.000Z	29 \| good	1.789 \| good	12.084 \| good	30.593 \| good	0.498 \| good	7.515 \| good	0.377 \| good
2025-10-21T06:00:00.000Z	35 \| good	2.083 \| good	9.071 \| good	38.012 \| good	0.304 \| good	6.302 \| good	0.268 \| good
2025-10-21T07:00:00.000Z	37 \| good	2.81 \| good	19.692 \| good	39.739 \| good	0.225 \| good	5.454 \| good	0.298 \| good
2025-10-21T08:00:00.000Z	37 \| good	2.733 \| good	11.586 \| good	39.552 \| good	0.387 \| good	6.229 \| good	0.256 \| good
2025-10-21T09:00:00.000Z	34 \| good	2.814 \| good	8.666 \| good	37.033 \| good	0.448 \| good	8.084 \| good	0.256 \| good
2025-10-21T10:00:00.000Z	32 \| good	3.573 \| good	7.677 \| good	34.974 \| good	0.423 \| good	8.227 \| good	0.2 \| good
2025-10-21T11:00:00.000Z	33 \| good	2.343 \| good	6.928 \| good	36.428 \| good	0.526 \| good	7.102 \| good	0.148 \| good
2025-10-21T12:00:00.000Z	30 \| good	4.873 \| good	24.463 \| good	32.103 \| good	3.426 \| good	10.358 \| good	0.223 \| good
2025-10-21T13:00:00.000Z	26 \| good	3.644 \| good	19.732 \| good	28.361 \| good	0.529 \| good	10.734 \| good	0.206 \| good
2025-10-21T14:00:00.000Z	25 \| good	3.829 \| good	26.926 \| good	25.606 \| good	0.887 \| good	14.656 \| good	1.645 \| good
2025-10-21T15:00:00.000Z	45 \| good	4.739 \| good	49.296 \| good	35.014 \| good	1.202 \| good	16.613 \| good	0.387 \| good
2025-10-21T16:00:00.000Z	34 \| good	2.766 \| good	28.159 \| good	36.722 \| good	0.664 \| good	10.598 \| good	0.206 \| good
2025-10-21T17:00:00.000Z	44 \| good	7.78 \| good	24.662 \| good	34.929 \| good	0.606 \| good	10.223 \| good	0.17 \| good
2025-10-21T18:00:00.000Z	40 \| good	5.892 \| good	43.315 \| good	37.004 \| good	0.749 \| good	5.926 \| good	0.146 \| good
2025-10-21T19:00:00.000Z	57 \| moderate	5.98 \| good	66.731 \| fine	37.158 \| good	0.305 \| good	4.612 \| good	0.135 \| good
2025-10-21T20:00:00.000Z	35 \| good	5.613 \| good	34.595 \| good	37.506 \| good	0.488 \| good	3.582 \| good	0.186 \| good
2025-10-21T21:00:00.000Z	38 \| good	3.439 \| good	28.321 \| good	40.698 \| good	0.395 \| good	3.061 \| good	0.209 \| good
2025-10-21T22:00:00.000Z	40 \| good	3.965 \| good	36.571 \| good	42.673 \| good	0.312 \| good	2.642 \| good	0.148 \| good
2025-10-21T23:00:00.000Z	40 \| good	3.98 \| good	36.095 \| good	43.39 \| good	0.268 \| good	3.029 \| good	0.148 \| good
2025-10-22T00:00:00.000Z	41 \| good	5.384 \| good	20.843 \| good	43.961 \| good	0.355 \| good	4.077 \| good	0.169 \| good
2025-10-22T01:00:00.000Z	39 \| good	3.301 \| good	25.29 \| good	42.313 \| good	0.29 \| good	5.516 \| good	0.297 \| good
2025-10-22T02:00:00.000Z	30 \| good	2.532 \| good	12.669 \| good	32.104 \| good	0.451 \| good	7.959 \| good	0.414 \| good
2025-10-22T03:00:00.000Z	17 \| good	1.799 \| good	7.312 \| good	18.223 \| good	0.731 \| good	5.121 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	30 \| good	2.663 \| good	17.845 \| good	31.871 \| good	0.327 \| good	8.471 \| good	0.475 \| good
2025-10-22T05:00:00.000Z	40 \| good	2.84 \| good	23.454 \| good	42.65 \| good	0.258 \| good	6.207 \| good	0.181 \| good
2025-10-22T06:00:00.000Z	35 \| good	3.722 \| good	20.329 \| good	37.729 \| good	0.207 \| good	4.772 \| good	0.195 \| good
2025-10-22T06:00:00.000Z	35 \| good	3.722 \| good	20.329 \| good	37.729 \| good	0.207 \| good	4.772 \| good	0.195 \| good
2025-10-22T07:00:00.000Z	38 \| good	2.882 \| good	12.388 \| good	40.979 \| good	0.644 \| good	5.039 \| good	0.151 \| good
2025-10-22T08:00:00.000Z	39 \| good	1.299 \| good	5.219 \| good	42.12 \| good	0.588 \| good	4.811 \| good	0.148 \| good
2025-10-22T09:00:00.000Z	36 \| good	3.142 \| good	13.566 \| good	38.844 \| good	0.532 \| good	4.583 \| good	0.145 \| good
2025-10-22T10:00:00.000Z	29 \| good	2.121 \| good	8.952 \| good	31.289 \| good	0.497 \| good	4.408 \| good	0.142 \| good
2025-10-22T11:00:00.000Z	28 \| good	1.605 \| good	6.374 \| good	30.072 \| good	0.461 \| good	4.233 \| good	0.139 \| good
2025-10-22T12:00:00.000Z	25 \| good	1.807 \| good	7.141 \| good	27.225 \| good	0.425 \| good	4.058 \| good	0.136 \| good
2025-10-22T13:00:00.000Z	23 \| good	1.593 \| good	6.382 \| good	25.146 \| good	0.404 \| good	3.989 \| good	0.142 \| good
2025-10-22T14:00:00.000Z	25 \| good	2.924 \| good	12.874 \| good	27.368 \| good	0.382 \| good	3.919 \| good	0.149 \| good
2025-10-22T15:00:00.000Z	29 \| good	2.936 \| good	12.564 \| good	31.46 \| good	0.361 \| good	3.85 \| good	0.155 \| good
2025-10-22T16:00:00.000Z	31 \| good	1.191 \| good	4.811 \| good	33.645 \| good	0.369 \| good	2.831 \| good	0.14 \| good
2025-10-22T17:00:00.000Z	35 \| good	4.917 \| good	21.19 \| good	37.882 \| good	0.376 \| good	1.812 \| good	0.125 \| good
2025-10-22T18:00:00.000Z	38 \| good	4.172 \| good	17.925 \| good	40.594 \| good	0.384 \| good	0.792 \| good	0.111 \| good
2025-10-22T19:00:00.000Z	36 \| good	5.796 \| good	25.294 \| good	39.328 \| good	0.367 \| good	0.757 \| good	0.11 \| good
2025-10-22T20:00:00.000Z	38 \| good	7.469 \| good	32.629 \| good	38.887 \| good	0.35 \| good	0.722 \| good	0.108 \| good
2025-10-22T21:00:00.000Z	38 \| good	5.786 \| good	25.45 \| good	41.025 \| good	0.333 \| good	0.687 \| good	0.107 \| good
2025-10-22T22:00:00.000Z	38 \| good	6.568 \| good	28.911 \| good	40.358 \| good	0.38 \| good	1.18 \| good	0.111 \| good
2025-10-22T23:00:00.000Z	44 \| good	7.942 \| good	35.051 \| good	38.325 \| good	0.427 \| good	1.672 \| good	0.116 \| good
2025-10-23T00:00:00.000Z	33 \| good	5.693 \| good	24.841 \| good	30.807 \| good	0.475 \| good	2.165 \| good	0.12 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.507 \| good	24.134 \| good	19.334 \| good	0.519 \| good	3.09 \| good	0.128 \| good
2025-10-23T02:00:00.000Z	13 \| good	1.471 \| good	6.044 \| good	14.143 \| good	0.562 \| good	4.014 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	10 \| good	1.188 \| good	4.964 \| good	11.173 \| good	0.606 \| good	4.939 \| good	0.146 \| good
2025-10-23T04:00:00.000Z	14 \| good	1.678 \| good	6.676 \| good	15.021 \| good	0.605 \| good	4.979 \| good	0.145 \| good
2025-10-23T05:00:00.000Z	19 \| good	1.562 \| good	6.425 \| good	20.201 \| good	0.604 \| good	5.018 \| good	0.145 \| good
2025-10-23T06:00:00.000Z	21 \| good	2.18 \| good	9.151 \| good	23.451 \| good	0.604 \| good	5.058 \| good	0.144 \| good
2025-10-23T07:00:00.000Z	24 \| good	1.146 \| good	4.78 \| good	25.653 \| good	0.561 \| good	4.602 \| good	0.137 \| good
2025-10-23T08:00:00.000Z	27 \| good	1.092 \| good	4.698 \| good	28.887 \| good	0.519 \| good	4.146 \| good	0.131 \| good
2025-10-23T09:00:00.000Z	27 \| good	0.618 \| good	2.378 \| good	28.524 \| good	0.476 \| good	3.69 \| good	0.124 \| good
2025-10-23T10:00:00.000Z	27 \| good	1.26 \| good	4.998 \| good	29.242 \| good	0.451 \| good	3.728 \| good	0.122 \| good
2025-10-23T11:00:00.000Z	23 \| good	2.842 \| good	11.568 \| good	24.576 \| good	0.425 \| good	3.767 \| good	0.12 \| good
2025-10-23T12:00:00.000Z	22 \| good	4.434 \| good	19.373 \| good	21.715 \| good	0.399 \| good	3.805 \| good	0.119 \| good
2025-10-23T13:00:00.000Z	18 \| good	2.898 \| good	12.479 \| good	19.2 \| good	0.383 \| good	4.009 \| good	0.128 \| good
2025-10-23T14:00:00.000Z	52 \| moderate	10.249 \| good	45.375 \| good	21.53 \| good	0.368 \| good	4.214 \| good	0.138 \| good
2025-10-23T15:00:00.000Z	44 \| good	8.17 \| good	35.769 \| good	30.045 \| good	0.352 \| good	4.418 \| good	0.148 \| good
2025-10-23T16:00:00.000Z	33 \| good	4.42 \| good	19.107 \| good	35.796 \| good	0.349 \| good	3.083 \| good	0.132 \| good
2025-10-23T17:00:00.000Z	33 \| good	5.827 \| good	25.634 \| good	36.125 \| good	0.347 \| good	1.749 \| good	0.115 \| good
2025-10-23T18:00:00.000Z	36 \| good	2.407 \| good	9.75 \| good	38.799 \| good	0.345 \| good	0.415 \| good	0.098 \| good
2025-10-23T19:00:00.000Z	38 \| good	3.733 \| good	16.398 \| good	41.05 \| good	0.312 \| good	0.375 \| good	0.097 \| good
2025-10-23T20:00:00.000Z	42 \| good	3.71 \| good	16.458 \| good	45.289 \| good	0.279 \| good	0.334 \| good	0.097 \| good
2025-10-23T21:00:00.000Z	41 \| good	1.549 \| good	6 \| good	44.304 \| good	0.246 \| good	0.294 \| good	0.096 \| good
2025-10-23T22:00:00.000Z	40 \| good	2.025 \| good	8.429 \| good	43.155 \| good	0.216 \| good	0.673 \| good	0.099 \| good
2025-10-23T23:00:00.000Z	40 \| good	1.611 \| good	6.488 \| good	42.688 \| good	0.185 \| good	1.053 \| good	0.103 \| good
2025-10-24T00:00:00.000Z	41 \| good	0.653 \| good	2 \| good	43.712 \| good	0.155 \| good	1.432 \| good	0.106 \| good
2025-10-24T01:00:00.000Z	42 \| good	2.115 \| good	8.817 \| good	44.618 \| good	0.162 \| good	1.808 \| good	0.11 \| good
2025-10-24T02:00:00.000Z	41 \| good	0.592 \| good	2.232 \| good	43.66 \| good	0.169 \| good	2.184 \| good	0.114 \| good
2025-10-24T03:00:00.000Z	29 \| good	1.018 \| good	3.879 \| good	30.702 \| good	0.176 \| good	2.56 \| good	0.118 \| good
2025-10-24T04:00:00.000Z	24 \| good	1.002 \| good	4.23 \| good	26.184 \| good	0.167 \| good	2.749 \| good	0.12 \| good
2025-10-24T05:00:00.000Z	27 \| good	0.964 \| good	3.848 \| good	28.776 \| good	0.159 \| good	2.938 \| good	0.121 \| good
2025-10-24T06:00:00.000Z	32 \| good	5.085 \| good	5.151 \| good	34.64 \| good	0.15 \| good	3.14 \| good	0.123 \| good

Current air quality index in Santa Fe, New Mexico today

Common air pollutants in Santa Fe, New Mexico

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Santa Fe, New Mexico air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Santa Fe, New Mexico

Air quality in nearby cities

Espanola, New Mexico

Los Alamos, New Mexico

Las Vegas, New Mexico

North Valley, New Mexico

Rio Rancho, New Mexico

Albuquerque, New Mexico

How accurate is New Mexico, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for Santa Fe, New Mexico get updated?

What time in the past 24 hours saw the poorest air quality in Santa Fe, New Mexico?

When was air quality in Santa Fe, New Mexico the best over the past 24 hours?

What is the air quality in Santa Fe, New Mexico right now?

What pollutant is most frequently found in Santa Fe, New Mexico?

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

What is the PM2.5 concentration in Santa Fe, New Mexico right now?

What is the current level of PM10 in Santa Fe, New Mexico?

What is the current level of carbon monoxide (CO) in Santa Fe, New Mexico?

What is the current level of sulfur dioxide (SO2) in Santa Fe, New Mexico?

What is the current level of ozone (O3) in Santa Fe, New Mexico?

What is the current level of nitrogen dioxide (NO2) in Santa Fe, New Mexico?

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 Santa Fe, New Mexico right now?

What is the current level of PM₁₀ in Santa Fe, New Mexico?

What is the current level of sulfur dioxide (SO₂) in Santa Fe, New Mexico?

What is the current level of ozone (O₃) in Santa Fe, New Mexico?

What is the current level of nitrogen dioxide (NO₂) in Santa Fe, New Mexico?