What is the current level of PM10 in Encinitas, California?

Encinitas, California currently has a PM10 concentration of 4.944 μg/m3.

What is the current level of sulfur dioxide (SO2) in Encinitas, California?

The current sulfur dioxide (SO2) concentration in Encinitas, California is 0.306 ppb.

What is the current level of ozone (O3) in Encinitas, California?

Encinitas, California currently has an ozone (O3) concentration of 39.318 ppm.

What is the current level of nitrogen dioxide (NO2) in Encinitas, California?

The current level of nitrogen dioxide (NO2) in Encinitas, California is 3.768 ppb.

Current air quality index in Encinitas, California today

Q: What is the PM2.5 concentration in Encinitas, California right now?

Encinitas, California currently has a PM2.5 concentration of 2.163 μg/m3.

Stay updated with real-time air quality in Encinitas, California featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

Encinitas, California

Last updated: ... (Local time)

Common air pollutants in Encinitas, California

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.16 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

4.94 μg/m³

155

255

425

605+

Ozone (O₃)

39.32 ppb

201

201+

Sulfur Dioxide (SO₂)

0.31 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.77 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.28 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Encinitas, California

Get Live Pollen Counts

Encinitas, California

Scroll To Air Quality Map

Track live Encinitas, California air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-21T03:00:00.000Z	31 \| good	5.331 \| good	23.046 \| good	34.448 \| good	0.475 \| good	11.403 \| good	0.166 \| good
2026-10-21T04:00:00.000Z	38 \| good	6.901 \| good	19.663 \| good	39.545 \| good	0.3 \| good	8.561 \| good	0.234 \| good
2026-10-21T05:00:00.000Z	31 \| good	3.662 \| good	16.193 \| good	34.181 \| good	0.662 \| good	7.854 \| good	0.255 \| good
2026-10-21T06:00:00.000Z	29 \| good	5.353 \| good	25.136 \| good	31.245 \| good	0.39 \| good	7.291 \| good	0.248 \| good
2026-10-21T07:00:00.000Z	33 \| good	6.361 \| good	17.902 \| good	29.751 \| good	0.39 \| good	7.929 \| good	0.248 \| good
2026-10-21T08:00:00.000Z	27 \| good	5.436 \| good	24.261 \| good	23.352 \| good	0.361 \| good	10.486 \| good	0.271 \| good
2026-10-21T09:00:00.000Z	27 \| good	4.981 \| good	25.322 \| good	21.471 \| good	0.437 \| good	18.357 \| good	0.232 \| good
2026-10-21T10:00:00.000Z	27 \| good	4.545 \| good	19.58 \| good	22.74 \| good	0.359 \| good	18.601 \| good	0.245 \| good
2026-10-21T11:00:00.000Z	33 \| good	5.608 \| good	28.66 \| good	23.333 \| good	0.334 \| good	16.099 \| good	0.284 \| good
2026-10-21T12:00:00.000Z	33 \| good	6.282 \| good	31.943 \| good	21.182 \| good	0.418 \| good	12.848 \| good	0.307 \| good
2026-10-21T13:00:00.000Z	27 \| good	4.825 \| good	18.232 \| good	21.107 \| good	0.418 \| good	13.692 \| good	0.307 \| good
2026-10-21T14:00:00.000Z	38 \| good	6.534 \| good	30.319 \| good	18.018 \| good	0.41 \| good	15.905 \| good	0.513 \| good
2026-10-21T15:00:00.000Z	44 \| good	7.948 \| good	39.122 \| good	18.736 \| good	0.526 \| good	12.083 \| good	0.577 \| good
2026-10-21T16:00:00.000Z	49 \| good	9.116 \| good	40.458 \| good	17.535 \| good	0.517 \| good	15 \| good	0.552 \| good
2026-10-21T17:00:00.000Z	44 \| good	8.33 \| good	38.551 \| good	23.861 \| good	0.511 \| good	26.435 \| good	0.439 \| good
2026-10-21T18:00:00.000Z	64 \| moderate	15.657 \| fine	73.679 \| fine	27.711 \| good	0.345 \| good	20.787 \| good	0.36 \| good
2026-10-21T19:00:00.000Z	56 \| moderate	11.777 \| good	48.236 \| good	29.312 \| good	0.444 \| good	13.922 \| good	0.332 \| good
2026-10-21T20:00:00.000Z	56 \| moderate	12.153 \| fine	47.003 \| good	31.419 \| good	0.417 \| good	9.202 \| good	0.293 \| good
2026-10-21T21:00:00.000Z	54 \| moderate	10.873 \| good	45.778 \| good	44.386 \| good	0.513 \| good	11.313 \| good	0.311 \| good
2026-10-21T22:00:00.000Z	48 \| good	7.362 \| good	51.619 \| good	44.285 \| good	0.494 \| good	8.822 \| good	0.273 \| good
2026-10-21T23:00:00.000Z	40 \| good	7.185 \| good	40.262 \| good	43.37 \| good	0.491 \| good	7.328 \| good	0.306 \| good
2026-10-22T00:00:00.000Z	42 \| good	6.385 \| good	29.789 \| good	44.612 \| good	0.487 \| good	6.879 \| good	0.314 \| good
2026-10-22T01:00:00.000Z	47 \| good	7.253 \| good	24.945 \| good	50.589 \| good	0.445 \| good	11.02 \| good	0.359 \| good
2026-10-22T02:00:00.000Z	35 \| good	6.28 \| good	24.887 \| good	37.579 \| good	0.454 \| good	13.536 \| good	0.362 \| good
2026-10-22T03:00:00.000Z	36 \| good	4.181 \| good	18.408 \| good	38.787 \| good	0.351 \| good	5.482 \| good	0.122 \| good
2026-10-22T04:00:00.000Z	44 \| good	8.283 \| good	29.488 \| good	29.128 \| good	0.397 \| good	11.073 \| good	0.263 \| good
2026-10-22T05:00:00.000Z	33 \| good	5.826 \| good	20.756 \| good	29.847 \| good	0.58 \| good	5.852 \| good	0.245 \| good
2026-10-22T06:00:00.000Z	27 \| good	4.787 \| good	11.097 \| good	29.388 \| good	0.256 \| good	6.367 \| good	0.25 \| good
2026-10-22T07:00:00.000Z	25 \| good	4.448 \| good	11.423 \| good	26.842 \| good	0.256 \| good	8.673 \| good	0.25 \| good
2026-10-22T08:00:00.000Z	28 \| good	3.448 \| good	10.294 \| good	29.682 \| good	0.266 \| good	3.244 \| good	0.182 \| good
2026-10-22T09:00:00.000Z	26 \| good	3.181 \| good	13.739 \| good	28.189 \| good	0.329 \| good	2.115 \| good	0.145 \| good
2026-10-22T10:00:00.000Z	39 \| good	2.859 \| good	41.614 \| good	24.817 \| good	0.266 \| good	1.956 \| good	0.145 \| good
2026-10-22T11:00:00.000Z	19 \| good	2.781 \| good	20.295 \| good	21.096 \| good	0.271 \| good	6.06 \| good	0.217 \| good
2026-10-22T12:00:00.000Z	21 \| good	2.119 \| good	5.687 \| good	23.209 \| good	0.266 \| good	14.088 \| good	0.263 \| good
2026-10-22T13:00:00.000Z	128 \| sensitive	2.089 \| good	210.014 \| moderate	26.279 \| good	0.266 \| good	11.026 \| good	0.263 \| good
2026-10-22T14:00:00.000Z	29 \| good	2.624 \| good	7.014 \| good	31.422 \| good	0.265 \| good	15.191 \| good	0.391 \| good
2026-10-22T15:00:00.000Z	28 \| good	2.825 \| good	13.27 \| good	30.17 \| good	0.276 \| good	18.008 \| good	0.469 \| good
2026-10-22T16:00:00.000Z	31 \| good	1.932 \| good	5.902 \| good	33.353 \| good	0.304 \| good	16.368 \| good	0.472 \| good
2026-10-22T17:00:00.000Z	33 \| good	2.253 \| good	6.937 \| good	35.866 \| good	0.261 \| good	7.094 \| good	0.322 \| good
2026-10-22T18:00:00.000Z	31 \| good	2.786 \| good	15.245 \| good	33.113 \| good	0.24 \| good	5.848 \| good	0.238 \| good
2026-10-22T19:00:00.000Z	33 \| good	2.138 \| good	15.538 \| good	35.777 \| good	0.188 \| good	2.483 \| good	0.22 \| good
2026-10-22T20:00:00.000Z	38 \| good	1.99 \| good	16.465 \| good	40.661 \| good	0.218 \| good	1.684 \| good	0.205 \| good
2026-10-22T21:00:00.000Z	37 \| good	2.05 \| good	9.189 \| good	40.392 \| good	0.209 \| good	3.114 \| good	0.221 \| good
2026-10-22T22:00:00.000Z	37 \| good	2.157 \| good	6.874 \| good	39.538 \| good	0.273 \| good	4.22 \| good	0.244 \| good
2026-10-22T23:00:00.000Z	36 \| good	2.328 \| good	8.567 \| good	39.342 \| good	0.273 \| good	3.259 \| good	0.268 \| good
2026-10-23T00:00:00.000Z	37 \| good	2.205 \| good	8.713 \| good	40.398 \| good	0.302 \| good	2.978 \| good	0.227 \| good
2026-10-23T01:00:00.000Z	36 \| good	2.163 \| good	4.944 \| good	39.318 \| good	0.306 \| good	3.768 \| good	0.277 \| good
2026-10-23T02:00:00.000Z	37 \| good	2.443 \| good	6.78 \| good	39.678 \| good	0.207 \| good	12.726 \| good	0.277 \| good
2026-10-23T02:00:00.000Z	36 \| good	2.163 \| good	4.944 \| good	39.318 \| good	0.306 \| good	3.768 \| good	0.277 \| good
2026-10-23T03:00:00.000Z	33 \| good	3.263 \| good	14.282 \| good	36.061 \| good	0.379 \| good	13.507 \| good	0.189 \| good
2026-10-23T04:00:00.000Z	32 \| good	2.175 \| good	8.981 \| good	34.539 \| good	0.43 \| good	16.82 \| good	0.211 \| good
2026-10-23T05:00:00.000Z	31 \| good	1.999 \| good	8.039 \| good	34.148 \| good	0.447 \| good	16.811 \| good	0.223 \| good
2026-10-23T06:00:00.000Z	30 \| good	1.787 \| good	7.361 \| good	31.897 \| good	0.425 \| good	16.056 \| good	0.226 \| good
2026-10-23T07:00:00.000Z	28 \| good	1.888 \| good	7.735 \| good	30.06 \| good	0.373 \| good	15.043 \| good	0.22 \| good
2026-10-23T08:00:00.000Z	27 \| good	2.174 \| good	9.127 \| good	28.871 \| good	0.333 \| good	14.003 \| good	0.208 \| good
2026-10-23T09:00:00.000Z	27 \| good	2.182 \| good	9.127 \| good	29.221 \| good	0.31 \| good	12.803 \| good	0.198 \| good
2026-10-23T10:00:00.000Z	26 \| good	2.569 \| good	10.552 \| good	28.461 \| good	0.299 \| good	11.72 \| good	0.192 \| good
2026-10-23T11:00:00.000Z	25 \| good	2.943 \| good	11.879 \| good	27.311 \| good	0.299 \| good	10.979 \| good	0.189 \| good
2026-10-23T12:00:00.000Z	22 \| good	3.216 \| good	14.004 \| good	24.057 \| good	0.303 \| good	10.408 \| good	0.186 \| good
2026-10-23T13:00:00.000Z	25 \| good	2.967 \| good	12.274 \| good	26.757 \| good	0.317 \| good	10.016 \| good	0.184 \| good
2026-10-23T14:00:00.000Z	23 \| good	2.956 \| good	12.168 \| good	24.613 \| good	0.349 \| good	10.326 \| good	0.189 \| good
2026-10-23T15:00:00.000Z	25 \| good	3.923 \| good	17.021 \| good	27.235 \| good	0.405 \| good	9.313 \| good	0.2 \| good
2026-10-23T16:00:00.000Z	30 \| good	3.819 \| good	16.64 \| good	31.928 \| good	0.514 \| good	7.523 \| good	0.187 \| good
2026-10-23T17:00:00.000Z	33 \| good	3.822 \| good	16.951 \| good	35.854 \| good	0.536 \| good	4.044 \| good	0.149 \| good
2026-10-23T18:00:00.000Z	37 \| good	2.791 \| good	11.667 \| good	40.016 \| good	0.445 \| good	2.666 \| good	0.134 \| good
2026-10-23T19:00:00.000Z	40 \| good	2.944 \| good	11.956 \| good	42.743 \| good	0.376 \| good	1.915 \| good	0.127 \| good
2026-10-23T20:00:00.000Z	41 \| good	3.138 \| good	13.489 \| good	44.376 \| good	0.343 \| good	1.461 \| good	0.123 \| good
2026-10-23T21:00:00.000Z	40 \| good	3.686 \| good	16.32 \| good	42.625 \| good	0.334 \| good	1.189 \| good	0.12 \| good
2026-10-23T22:00:00.000Z	40 \| good	3.682 \| good	16.071 \| good	43.404 \| good	0.351 \| good	1.083 \| good	0.12 \| good
2026-10-23T23:00:00.000Z	41 \| good	4.552 \| good	19.814 \| good	44.295 \| good	0.406 \| good	1.239 \| good	0.121 \| good
2026-10-24T00:00:00.000Z	44 \| good	4.811 \| good	21.087 \| good	47.042 \| good	0.489 \| good	1.727 \| good	0.124 \| good
2026-10-24T01:00:00.000Z	44 \| good	5.007 \| good	21.481 \| good	46.715 \| good	0.584 \| good	2.926 \| good	0.129 \| good
2026-10-24T02:00:00.000Z	44 \| good	5.335 \| good	22.996 \| good	46.807 \| good	0.68 \| good	8.422 \| good	0.155 \| good
2026-10-24T03:00:00.000Z	39 \| good	3.81 \| good	16.764 \| good	41.65 \| good	0.78 \| good	14.092 \| good	0.18 \| good
2026-10-24T04:00:00.000Z	34 \| good	3.676 \| good	16.069 \| good	37.052 \| good	0.844 \| good	19.011 \| good	0.203 \| good
2026-10-24T05:00:00.000Z	33 \| good	3.592 \| good	15.601 \| good	36.04 \| good	0.836 \| good	19.996 \| good	0.222 \| good
2026-10-24T06:00:00.000Z	31 \| good	2.921 \| good	12.452 \| good	33.648 \| good	0.778 \| good	18.356 \| good	0.235 \| good
2026-10-24T07:00:00.000Z	29 \| good	3.124 \| good	13.335 \| good	31.056 \| good	0.681 \| good	16.847 \| good	0.242 \| good
2026-10-24T08:00:00.000Z	26 \| good	3.448 \| good	14.828 \| good	28.352 \| good	0.584 \| good	15.9 \| good	0.242 \| good
2026-10-24T09:00:00.000Z	27 \| good	3.895 \| good	17.314 \| good	29.06 \| good	0.504 \| good	14.856 \| good	0.233 \| good
2026-10-24T10:00:00.000Z	26 \| good	4.336 \| good	18.772 \| good	28.026 \| good	0.445 \| good	14.194 \| good	0.225 \| good
2026-10-24T11:00:00.000Z	25 \| good	4.258 \| good	18.73 \| good	27.26 \| good	0.388 \| good	13.671 \| good	0.217 \| good
2026-10-24T12:00:00.000Z	27 \| good	4.525 \| good	19.977 \| good	25.925 \| good	0.351 \| good	12.891 \| good	0.211 \| good
2026-10-24T13:00:00.000Z	25 \| good	4.43 \| good	19.327 \| good	26.579 \| good	0.315 \| good	12.336 \| good	0.209 \| good
2026-10-24T14:00:00.000Z	27 \| good	3.726 \| good	16.313 \| good	29.046 \| good	0.351 \| good	11.569 \| good	0.214 \| good
2026-10-24T15:00:00.000Z	28 \| good	4.053 \| good	17.645 \| good	29.997 \| good	0.371 \| good	10.09 \| good	0.232 \| good
2026-10-24T16:00:00.000Z	34 \| good	4.864 \| good	21.208 \| good	37.303 \| good	0.459 \| good	9.329 \| good	0.214 \| good
2026-10-24T17:00:00.000Z	39 \| good	6.343 \| good	28.279 \| good	42.168 \| good	0.873 \| good	4.599 \| good	0.154 \| good
2026-10-24T18:00:00.000Z	44 \| good	7.722 \| good	33.904 \| good	47.501 \| good	1.125 \| good	3.129 \| good	0.148 \| good
2026-10-24T19:00:00.000Z	49 \| good	8.738 \| good	38.452 \| good	52.759 \| good	1.143 \| good	2.298 \| good	0.146 \| good
2026-10-24T20:00:00.000Z	50 \| good	8.792 \| good	38.428 \| good	53.862 \| good	1.094 \| good	1.76 \| good	0.144 \| good
2026-10-24T21:00:00.000Z	49 \| good	7.64 \| good	33.483 \| good	53.104 \| good	1.031 \| good	1.394 \| good	0.142 \| good
2026-10-24T22:00:00.000Z	50 \| good	7.306 \| good	32.161 \| good	53.592 \| good	0.991 \| good	1.241 \| good	0.14 \| good
2026-10-24T23:00:00.000Z	54 \| moderate	8.413 \| good	37.122 \| good	56.309 \| fine	0.965 \| good	1.321 \| good	0.139 \| good
2026-10-25T00:00:00.000Z	61 \| moderate	8.194 \| good	36.042 \| good	58.417 \| fine	0.962 \| good	1.748 \| good	0.139 \| good
2026-10-25T01:00:00.000Z	51 \| moderate	7.108 \| good	31.335 \| good	55.333 \| fine	0.946 \| good	3.294 \| good	0.144 \| good
2026-10-25T02:00:00.000Z	46 \| good	6.918 \| good	30.549 \| good	49.909 \| good	0.985 \| good	7.267 \| good	0.161 \| good

Encinitas

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Encinitas, California

0.28ppm

How accurate is California, USA air quality data?

The air quality data for California, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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 Encinitas, California get updated?

Air quality updates for Encinitas, California are available every hour.

What time in the past 24 hours saw the poorest air quality in Encinitas, California?

Encinitas, California experienced its worst air quality at 01:00:00, 2026-10-22.

When was air quality in Encinitas, California the best over the past 24 hours?

The best air quality in Encinitas, California was observed at 11:00:00 on 2026-10-22.

What is the air quality in Encinitas, California right now?

The air quality in Encinitas, California right now is Good, with an AQI of 36.

What pollutant is most frequently found in Encinitas, California?

In Encinitas, California, O3 is the most frequently found pollutant.

What can I do if the air quality in Encinitas, California is poor?

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

What is the PM_2.5 concentration in Encinitas, California right now?

Encinitas, California currently has a PM_2.5 concentration of 2.163 μg/m³.

What is the current level of PM₁₀ in Encinitas, California?

Encinitas, California currently has a PM₁₀ concentration of 4.944 μg/m³.

What is the current level of carbon monoxide (CO) in Encinitas, California?

The current carbon monoxide (CO) level in Encinitas, California is 0.277 ppm.

What is the current level of sulfur dioxide (SO₂) in Encinitas, California?

The current sulfur dioxide (SO₂) concentration in Encinitas, California is 0.306 ppb.

What is the current level of ozone (O₃) in Encinitas, California?

Encinitas, California currently has an ozone (O₃) concentration of 39.318 ppm.

What is the current level of nitrogen dioxide (NO₂) in Encinitas, California?

The current level of nitrogen dioxide (NO₂) in Encinitas, California is 3.768 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-21T03:00:00.000Z	31 \| good	5.331 \| good	23.046 \| good	34.448 \| good	0.475 \| good	11.403 \| good	0.166 \| good
2026-10-21T04:00:00.000Z	38 \| good	6.901 \| good	19.663 \| good	39.545 \| good	0.3 \| good	8.561 \| good	0.234 \| good
2026-10-21T05:00:00.000Z	31 \| good	3.662 \| good	16.193 \| good	34.181 \| good	0.662 \| good	7.854 \| good	0.255 \| good
2026-10-21T06:00:00.000Z	29 \| good	5.353 \| good	25.136 \| good	31.245 \| good	0.39 \| good	7.291 \| good	0.248 \| good
2026-10-21T07:00:00.000Z	33 \| good	6.361 \| good	17.902 \| good	29.751 \| good	0.39 \| good	7.929 \| good	0.248 \| good
2026-10-21T08:00:00.000Z	27 \| good	5.436 \| good	24.261 \| good	23.352 \| good	0.361 \| good	10.486 \| good	0.271 \| good
2026-10-21T09:00:00.000Z	27 \| good	4.981 \| good	25.322 \| good	21.471 \| good	0.437 \| good	18.357 \| good	0.232 \| good
2026-10-21T10:00:00.000Z	27 \| good	4.545 \| good	19.58 \| good	22.74 \| good	0.359 \| good	18.601 \| good	0.245 \| good
2026-10-21T11:00:00.000Z	33 \| good	5.608 \| good	28.66 \| good	23.333 \| good	0.334 \| good	16.099 \| good	0.284 \| good
2026-10-21T12:00:00.000Z	33 \| good	6.282 \| good	31.943 \| good	21.182 \| good	0.418 \| good	12.848 \| good	0.307 \| good
2026-10-21T13:00:00.000Z	27 \| good	4.825 \| good	18.232 \| good	21.107 \| good	0.418 \| good	13.692 \| good	0.307 \| good
2026-10-21T14:00:00.000Z	38 \| good	6.534 \| good	30.319 \| good	18.018 \| good	0.41 \| good	15.905 \| good	0.513 \| good
2026-10-21T15:00:00.000Z	44 \| good	7.948 \| good	39.122 \| good	18.736 \| good	0.526 \| good	12.083 \| good	0.577 \| good
2026-10-21T16:00:00.000Z	49 \| good	9.116 \| good	40.458 \| good	17.535 \| good	0.517 \| good	15 \| good	0.552 \| good
2026-10-21T17:00:00.000Z	44 \| good	8.33 \| good	38.551 \| good	23.861 \| good	0.511 \| good	26.435 \| good	0.439 \| good
2026-10-21T18:00:00.000Z	64 \| moderate	15.657 \| fine	73.679 \| fine	27.711 \| good	0.345 \| good	20.787 \| good	0.36 \| good
2026-10-21T19:00:00.000Z	56 \| moderate	11.777 \| good	48.236 \| good	29.312 \| good	0.444 \| good	13.922 \| good	0.332 \| good
2026-10-21T20:00:00.000Z	56 \| moderate	12.153 \| fine	47.003 \| good	31.419 \| good	0.417 \| good	9.202 \| good	0.293 \| good
2026-10-21T21:00:00.000Z	54 \| moderate	10.873 \| good	45.778 \| good	44.386 \| good	0.513 \| good	11.313 \| good	0.311 \| good
2026-10-21T22:00:00.000Z	48 \| good	7.362 \| good	51.619 \| good	44.285 \| good	0.494 \| good	8.822 \| good	0.273 \| good
2026-10-21T23:00:00.000Z	40 \| good	7.185 \| good	40.262 \| good	43.37 \| good	0.491 \| good	7.328 \| good	0.306 \| good
2026-10-22T00:00:00.000Z	42 \| good	6.385 \| good	29.789 \| good	44.612 \| good	0.487 \| good	6.879 \| good	0.314 \| good
2026-10-22T01:00:00.000Z	47 \| good	7.253 \| good	24.945 \| good	50.589 \| good	0.445 \| good	11.02 \| good	0.359 \| good
2026-10-22T02:00:00.000Z	35 \| good	6.28 \| good	24.887 \| good	37.579 \| good	0.454 \| good	13.536 \| good	0.362 \| good
2026-10-22T03:00:00.000Z	36 \| good	4.181 \| good	18.408 \| good	38.787 \| good	0.351 \| good	5.482 \| good	0.122 \| good
2026-10-22T04:00:00.000Z	44 \| good	8.283 \| good	29.488 \| good	29.128 \| good	0.397 \| good	11.073 \| good	0.263 \| good
2026-10-22T05:00:00.000Z	33 \| good	5.826 \| good	20.756 \| good	29.847 \| good	0.58 \| good	5.852 \| good	0.245 \| good
2026-10-22T06:00:00.000Z	27 \| good	4.787 \| good	11.097 \| good	29.388 \| good	0.256 \| good	6.367 \| good	0.25 \| good
2026-10-22T07:00:00.000Z	25 \| good	4.448 \| good	11.423 \| good	26.842 \| good	0.256 \| good	8.673 \| good	0.25 \| good
2026-10-22T08:00:00.000Z	28 \| good	3.448 \| good	10.294 \| good	29.682 \| good	0.266 \| good	3.244 \| good	0.182 \| good
2026-10-22T09:00:00.000Z	26 \| good	3.181 \| good	13.739 \| good	28.189 \| good	0.329 \| good	2.115 \| good	0.145 \| good
2026-10-22T10:00:00.000Z	39 \| good	2.859 \| good	41.614 \| good	24.817 \| good	0.266 \| good	1.956 \| good	0.145 \| good
2026-10-22T11:00:00.000Z	19 \| good	2.781 \| good	20.295 \| good	21.096 \| good	0.271 \| good	6.06 \| good	0.217 \| good
2026-10-22T12:00:00.000Z	21 \| good	2.119 \| good	5.687 \| good	23.209 \| good	0.266 \| good	14.088 \| good	0.263 \| good
2026-10-22T13:00:00.000Z	128 \| sensitive	2.089 \| good	210.014 \| moderate	26.279 \| good	0.266 \| good	11.026 \| good	0.263 \| good
2026-10-22T14:00:00.000Z	29 \| good	2.624 \| good	7.014 \| good	31.422 \| good	0.265 \| good	15.191 \| good	0.391 \| good
2026-10-22T15:00:00.000Z	28 \| good	2.825 \| good	13.27 \| good	30.17 \| good	0.276 \| good	18.008 \| good	0.469 \| good
2026-10-22T16:00:00.000Z	31 \| good	1.932 \| good	5.902 \| good	33.353 \| good	0.304 \| good	16.368 \| good	0.472 \| good
2026-10-22T17:00:00.000Z	33 \| good	2.253 \| good	6.937 \| good	35.866 \| good	0.261 \| good	7.094 \| good	0.322 \| good
2026-10-22T18:00:00.000Z	31 \| good	2.786 \| good	15.245 \| good	33.113 \| good	0.24 \| good	5.848 \| good	0.238 \| good
2026-10-22T19:00:00.000Z	33 \| good	2.138 \| good	15.538 \| good	35.777 \| good	0.188 \| good	2.483 \| good	0.22 \| good
2026-10-22T20:00:00.000Z	38 \| good	1.99 \| good	16.465 \| good	40.661 \| good	0.218 \| good	1.684 \| good	0.205 \| good
2026-10-22T21:00:00.000Z	37 \| good	2.05 \| good	9.189 \| good	40.392 \| good	0.209 \| good	3.114 \| good	0.221 \| good
2026-10-22T22:00:00.000Z	37 \| good	2.157 \| good	6.874 \| good	39.538 \| good	0.273 \| good	4.22 \| good	0.244 \| good
2026-10-22T23:00:00.000Z	36 \| good	2.328 \| good	8.567 \| good	39.342 \| good	0.273 \| good	3.259 \| good	0.268 \| good
2026-10-23T00:00:00.000Z	37 \| good	2.205 \| good	8.713 \| good	40.398 \| good	0.302 \| good	2.978 \| good	0.227 \| good
2026-10-23T01:00:00.000Z	36 \| good	2.163 \| good	4.944 \| good	39.318 \| good	0.306 \| good	3.768 \| good	0.277 \| good
2026-10-23T02:00:00.000Z	37 \| good	2.443 \| good	6.78 \| good	39.678 \| good	0.207 \| good	12.726 \| good	0.277 \| good
2026-10-23T02:00:00.000Z	36 \| good	2.163 \| good	4.944 \| good	39.318 \| good	0.306 \| good	3.768 \| good	0.277 \| good
2026-10-23T03:00:00.000Z	33 \| good	3.263 \| good	14.282 \| good	36.061 \| good	0.379 \| good	13.507 \| good	0.189 \| good
2026-10-23T04:00:00.000Z	32 \| good	2.175 \| good	8.981 \| good	34.539 \| good	0.43 \| good	16.82 \| good	0.211 \| good
2026-10-23T05:00:00.000Z	31 \| good	1.999 \| good	8.039 \| good	34.148 \| good	0.447 \| good	16.811 \| good	0.223 \| good
2026-10-23T06:00:00.000Z	30 \| good	1.787 \| good	7.361 \| good	31.897 \| good	0.425 \| good	16.056 \| good	0.226 \| good
2026-10-23T07:00:00.000Z	28 \| good	1.888 \| good	7.735 \| good	30.06 \| good	0.373 \| good	15.043 \| good	0.22 \| good
2026-10-23T08:00:00.000Z	27 \| good	2.174 \| good	9.127 \| good	28.871 \| good	0.333 \| good	14.003 \| good	0.208 \| good
2026-10-23T09:00:00.000Z	27 \| good	2.182 \| good	9.127 \| good	29.221 \| good	0.31 \| good	12.803 \| good	0.198 \| good
2026-10-23T10:00:00.000Z	26 \| good	2.569 \| good	10.552 \| good	28.461 \| good	0.299 \| good	11.72 \| good	0.192 \| good
2026-10-23T11:00:00.000Z	25 \| good	2.943 \| good	11.879 \| good	27.311 \| good	0.299 \| good	10.979 \| good	0.189 \| good
2026-10-23T12:00:00.000Z	22 \| good	3.216 \| good	14.004 \| good	24.057 \| good	0.303 \| good	10.408 \| good	0.186 \| good
2026-10-23T13:00:00.000Z	25 \| good	2.967 \| good	12.274 \| good	26.757 \| good	0.317 \| good	10.016 \| good	0.184 \| good
2026-10-23T14:00:00.000Z	23 \| good	2.956 \| good	12.168 \| good	24.613 \| good	0.349 \| good	10.326 \| good	0.189 \| good
2026-10-23T15:00:00.000Z	25 \| good	3.923 \| good	17.021 \| good	27.235 \| good	0.405 \| good	9.313 \| good	0.2 \| good
2026-10-23T16:00:00.000Z	30 \| good	3.819 \| good	16.64 \| good	31.928 \| good	0.514 \| good	7.523 \| good	0.187 \| good
2026-10-23T17:00:00.000Z	33 \| good	3.822 \| good	16.951 \| good	35.854 \| good	0.536 \| good	4.044 \| good	0.149 \| good
2026-10-23T18:00:00.000Z	37 \| good	2.791 \| good	11.667 \| good	40.016 \| good	0.445 \| good	2.666 \| good	0.134 \| good
2026-10-23T19:00:00.000Z	40 \| good	2.944 \| good	11.956 \| good	42.743 \| good	0.376 \| good	1.915 \| good	0.127 \| good
2026-10-23T20:00:00.000Z	41 \| good	3.138 \| good	13.489 \| good	44.376 \| good	0.343 \| good	1.461 \| good	0.123 \| good
2026-10-23T21:00:00.000Z	40 \| good	3.686 \| good	16.32 \| good	42.625 \| good	0.334 \| good	1.189 \| good	0.12 \| good
2026-10-23T22:00:00.000Z	40 \| good	3.682 \| good	16.071 \| good	43.404 \| good	0.351 \| good	1.083 \| good	0.12 \| good
2026-10-23T23:00:00.000Z	41 \| good	4.552 \| good	19.814 \| good	44.295 \| good	0.406 \| good	1.239 \| good	0.121 \| good
2026-10-24T00:00:00.000Z	44 \| good	4.811 \| good	21.087 \| good	47.042 \| good	0.489 \| good	1.727 \| good	0.124 \| good
2026-10-24T01:00:00.000Z	44 \| good	5.007 \| good	21.481 \| good	46.715 \| good	0.584 \| good	2.926 \| good	0.129 \| good
2026-10-24T02:00:00.000Z	44 \| good	5.335 \| good	22.996 \| good	46.807 \| good	0.68 \| good	8.422 \| good	0.155 \| good
2026-10-24T03:00:00.000Z	39 \| good	3.81 \| good	16.764 \| good	41.65 \| good	0.78 \| good	14.092 \| good	0.18 \| good
2026-10-24T04:00:00.000Z	34 \| good	3.676 \| good	16.069 \| good	37.052 \| good	0.844 \| good	19.011 \| good	0.203 \| good
2026-10-24T05:00:00.000Z	33 \| good	3.592 \| good	15.601 \| good	36.04 \| good	0.836 \| good	19.996 \| good	0.222 \| good
2026-10-24T06:00:00.000Z	31 \| good	2.921 \| good	12.452 \| good	33.648 \| good	0.778 \| good	18.356 \| good	0.235 \| good
2026-10-24T07:00:00.000Z	29 \| good	3.124 \| good	13.335 \| good	31.056 \| good	0.681 \| good	16.847 \| good	0.242 \| good
2026-10-24T08:00:00.000Z	26 \| good	3.448 \| good	14.828 \| good	28.352 \| good	0.584 \| good	15.9 \| good	0.242 \| good
2026-10-24T09:00:00.000Z	27 \| good	3.895 \| good	17.314 \| good	29.06 \| good	0.504 \| good	14.856 \| good	0.233 \| good
2026-10-24T10:00:00.000Z	26 \| good	4.336 \| good	18.772 \| good	28.026 \| good	0.445 \| good	14.194 \| good	0.225 \| good
2026-10-24T11:00:00.000Z	25 \| good	4.258 \| good	18.73 \| good	27.26 \| good	0.388 \| good	13.671 \| good	0.217 \| good
2026-10-24T12:00:00.000Z	27 \| good	4.525 \| good	19.977 \| good	25.925 \| good	0.351 \| good	12.891 \| good	0.211 \| good
2026-10-24T13:00:00.000Z	25 \| good	4.43 \| good	19.327 \| good	26.579 \| good	0.315 \| good	12.336 \| good	0.209 \| good
2026-10-24T14:00:00.000Z	27 \| good	3.726 \| good	16.313 \| good	29.046 \| good	0.351 \| good	11.569 \| good	0.214 \| good
2026-10-24T15:00:00.000Z	28 \| good	4.053 \| good	17.645 \| good	29.997 \| good	0.371 \| good	10.09 \| good	0.232 \| good
2026-10-24T16:00:00.000Z	34 \| good	4.864 \| good	21.208 \| good	37.303 \| good	0.459 \| good	9.329 \| good	0.214 \| good
2026-10-24T17:00:00.000Z	39 \| good	6.343 \| good	28.279 \| good	42.168 \| good	0.873 \| good	4.599 \| good	0.154 \| good
2026-10-24T18:00:00.000Z	44 \| good	7.722 \| good	33.904 \| good	47.501 \| good	1.125 \| good	3.129 \| good	0.148 \| good
2026-10-24T19:00:00.000Z	49 \| good	8.738 \| good	38.452 \| good	52.759 \| good	1.143 \| good	2.298 \| good	0.146 \| good
2026-10-24T20:00:00.000Z	50 \| good	8.792 \| good	38.428 \| good	53.862 \| good	1.094 \| good	1.76 \| good	0.144 \| good
2026-10-24T21:00:00.000Z	49 \| good	7.64 \| good	33.483 \| good	53.104 \| good	1.031 \| good	1.394 \| good	0.142 \| good
2026-10-24T22:00:00.000Z	50 \| good	7.306 \| good	32.161 \| good	53.592 \| good	0.991 \| good	1.241 \| good	0.14 \| good
2026-10-24T23:00:00.000Z	54 \| moderate	8.413 \| good	37.122 \| good	56.309 \| fine	0.965 \| good	1.321 \| good	0.139 \| good
2026-10-25T00:00:00.000Z	61 \| moderate	8.194 \| good	36.042 \| good	58.417 \| fine	0.962 \| good	1.748 \| good	0.139 \| good
2026-10-25T01:00:00.000Z	51 \| moderate	7.108 \| good	31.335 \| good	55.333 \| fine	0.946 \| good	3.294 \| good	0.144 \| good
2026-10-25T02:00:00.000Z	46 \| good	6.918 \| good	30.549 \| good	49.909 \| good	0.985 \| good	7.267 \| good	0.161 \| good

Current air quality index in Encinitas, California today

Common air pollutants in Encinitas, California

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Encinitas, California air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Encinitas, California

Air quality in nearby cities

Solana Beach, California

Carlsbad, California

San Marcos, California

Vista, California

Oceanside, California

Escondido, California

How accurate is California, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for Encinitas, California get updated?

What time in the past 24 hours saw the poorest air quality in Encinitas, California?

When was air quality in Encinitas, California the best over the past 24 hours?

What is the air quality in Encinitas, California right now?

What pollutant is most frequently found in Encinitas, California?

What can I do if the air quality in Encinitas, California is poor?

What is the PM2.5 concentration in Encinitas, California right now?

What is the current level of PM10 in Encinitas, California?

What is the current level of carbon monoxide (CO) in Encinitas, California?

What is the current level of sulfur dioxide (SO2) in Encinitas, California?

What is the current level of ozone (O3) in Encinitas, California?

What is the current level of nitrogen dioxide (NO2) in Encinitas, California?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Encinitas, California right now?

What is the current level of PM₁₀ in Encinitas, California?

What is the current level of sulfur dioxide (SO₂) in Encinitas, California?

What is the current level of ozone (O₃) in Encinitas, California?

What is the current level of nitrogen dioxide (NO₂) in Encinitas, California?