What is the current concentration of PM10 in Wekiwa Springs, Florida?

The current PM10 concentration at Wekiwa Springs, Florida is 14.587 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Wekiwa Springs, Florida?

The current sulfur dioxide (SO2) concentration at Wekiwa Springs, Florida is 0.729 ppb.

What is the current concentration of ozone (O3) in Wekiwa Springs, Florida?

The current ozone (O3) concentration at Wekiwa Springs, Florida is 29.009 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Wekiwa Springs, Florida?

The current nitrogen dioxide (NO2) concentration at Wekiwa Springs, Florida is 6.98 ppb.

Wekiwa Springs, Florida live air quality index now

Q: What is the current concentration of PM2.5 in Wekiwa Springs, Florida?

The current PM2.5 concentration at Wekiwa Springs, Florida is 3.914 μg/m3.

Stay updated with real-time air quality in Wekiwa Springs, Florida 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

Wekiwa Springs, Florida

Last updated: ... (Local time)

Major air pollutants in Wekiwa Springs, Florida

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.21 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.16 μg/m³

155

255

425

605+

Ozone (O₃)

33.46 ppb

201

201+

Sulfur Dioxide (SO₂)

0.47 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.98 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.15 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Wekiwa Springs, Florida

Get Live Pollen Counts

Wekiwa Springs, Florida

Scroll To Air Quality Map

Track live Wekiwa Springs, Florida air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-23T13:00:00.000Z	52 \| moderate	10.247 \| good	44.865 \| good	24.057 \| good	0.694 \| good	17.936 \| good	0.341 \| good
2025-10-23T14:00:00.000Z	49 \| good	9.402 \| good	21.058 \| good	23.513 \| good	0.643 \| good	16.137 \| good	0.35 \| good
2025-10-23T15:00:00.000Z	49 \| good	9.342 \| good	36.262 \| good	26.123 \| good	0.551 \| good	13.633 \| good	0.324 \| good
2025-10-23T16:00:00.000Z	49 \| good	8.866 \| good	35.945 \| good	29.133 \| good	0.713 \| good	12.335 \| good	0.261 \| good
2025-10-23T17:00:00.000Z	44 \| good	7.673 \| good	32.251 \| good	35.46 \| good	0.849 \| good	10.553 \| good	0.258 \| good
2025-10-23T18:00:00.000Z	38 \| good	7.114 \| good	30.998 \| good	36.734 \| good	1.011 \| good	8.536 \| good	0.227 \| good
2025-10-23T19:00:00.000Z	38 \| good	7.179 \| good	28.509 \| good	41.129 \| good	0.927 \| good	10.895 \| good	0.258 \| good
2025-10-23T20:00:00.000Z	44 \| good	7.077 \| good	27.344 \| good	46.633 \| good	0.918 \| good	10.8 \| good	0.258 \| good
2025-10-23T21:00:00.000Z	42 \| good	6.994 \| good	24.883 \| good	45.337 \| good	0.89 \| good	8.047 \| good	0.289 \| good
2025-10-23T22:00:00.000Z	41 \| good	5.813 \| good	22.565 \| good	43.743 \| good	1.277 \| good	7.734 \| good	0.32 \| good
2025-10-23T23:00:00.000Z	45 \| good	6.487 \| good	27.589 \| good	49.065 \| good	0.873 \| good	7.608 \| good	0.32 \| good
2025-10-24T00:00:00.000Z	44 \| good	5.889 \| good	26.468 \| good	48.217 \| good	0.802 \| good	7.603 \| good	0.253 \| good
2025-10-24T01:00:00.000Z	43 \| good	4.72 \| good	20.182 \| good	45.665 \| good	0.927 \| good	6.744 \| good	0.222 \| good
2025-10-24T02:00:00.000Z	42 \| good	4.19 \| good	17.016 \| good	45.186 \| good	0.839 \| good	5.682 \| good	0.215 \| good
2025-10-24T03:00:00.000Z	27 \| good	2.855 \| good	11.942 \| good	28.582 \| good	0.65 \| good	4.386 \| good	0.162 \| good
2025-10-24T04:00:00.000Z	35 \| good	3.912 \| good	16.613 \| good	38.46 \| good	0.819 \| good	4.906 \| good	0.181 \| good
2025-10-24T05:00:00.000Z	33 \| good	3.613 \| good	16.411 \| good	35.848 \| good	0.907 \| good	6.16 \| good	0.224 \| good
2025-10-24T06:00:00.000Z	31 \| good	3.724 \| good	18.489 \| good	32.584 \| good	0.741 \| good	7.067 \| good	0.218 \| good
2025-10-24T07:00:00.000Z	31 \| good	4.008 \| good	19.665 \| good	33.379 \| good	0.734 \| good	6.713 \| good	0.187 \| good
2025-10-24T08:00:00.000Z	27 \| good	3.914 \| good	14.587 \| good	29.009 \| good	0.729 \| good	6.98 \| good	0.19 \| good
2025-10-24T09:00:00.000Z	26 \| good	3.955 \| good	13.169 \| good	27.871 \| good	0.792 \| good	7.771 \| good	0.166 \| good
2025-10-24T10:00:00.000Z	25 \| good	3.884 \| good	14.88 \| good	26.582 \| good	0.714 \| good	7.205 \| good	0.15 \| good
2025-10-24T11:00:00.000Z	22 \| good	3.99 \| good	18.922 \| good	20.995 \| good	0.657 \| good	8.022 \| good	0.216 \| good
2025-10-24T12:00:00.000Z	27 \| good	3.975 \| good	13.615 \| good	28.689 \| good	0.657 \| good	10.029 \| good	0.25 \| good
2025-10-24T13:00:00.000Z	27 \| good	4.629 \| good	19.652 \| good	21.864 \| good	0.649 \| good	21.921 \| good	0.303 \| good
2025-10-24T14:00:00.000Z	31 \| good	4.49 \| good	18.141 \| good	33.706 \| good	0.727 \| good	22.32 \| good	0.331 \| good
2025-10-24T15:00:00.000Z	27 \| good	4.468 \| good	21.134 \| good	29.421 \| good	0.661 \| good	20.841 \| good	0.405 \| good
2025-10-24T16:00:00.000Z	29 \| good	4.235 \| good	18.734 \| good	31.008 \| good	0.82 \| good	13.19 \| good	0.298 \| good
2025-10-24T17:00:00.000Z	36 \| good	3.865 \| good	17.206 \| good	38.716 \| good	0.806 \| good	11.356 \| good	0.224 \| good
2025-10-24T18:00:00.000Z	36 \| good	3.575 \| good	15.546 \| good	39.36 \| good	0.792 \| good	6.818 \| good	0.255 \| good
2025-10-24T19:00:00.000Z	38 \| good	3.386 \| good	14.821 \| good	41.386 \| good	0.8 \| good	6.771 \| good	0.215 \| good
2025-10-24T20:00:00.000Z	43 \| good	3.36 \| good	14.821 \| good	45.713 \| good	0.786 \| good	6.78 \| good	0.215 \| good
2025-10-24T21:00:00.000Z	44 \| good	3.288 \| good	14.399 \| good	48.154 \| good	0.778 \| good	6.283 \| good	0.212 \| good
2025-10-24T22:00:00.000Z	44 \| good	3.238 \| good	13.972 \| good	47.203 \| good	0.771 \| good	6.035 \| good	0.246 \| good
2025-10-24T23:00:00.000Z	43 \| good	3.252 \| good	14.502 \| good	45.614 \| good	0.837 \| good	6.209 \| good	0.246 \| good
2025-10-25T00:00:00.000Z	39 \| good	3.244 \| good	15.035 \| good	42.332 \| good	0.83 \| good	10.035 \| good	0.25 \| good
2025-10-25T01:00:00.000Z	38 \| good	3.354 \| good	19.407 \| good	41.443 \| good	0.875 \| good	8.247 \| good	0.215 \| good
2025-10-25T02:00:00.000Z	38 \| good	3.43 \| good	23.063 \| good	41.097 \| good	0.844 \| good	8.015 \| good	0.246 \| good
2025-10-25T03:00:00.000Z	33 \| good	6.456 \| good	28.679 \| good	24.148 \| good	0.568 \| good	3.135 \| good	0.146 \| good
2025-10-25T04:00:00.000Z	34 \| good	3.517 \| good	25.092 \| good	37.459 \| good	0.853 \| good	7.299 \| good	0.215 \| good
2025-10-25T05:00:00.000Z	34 \| good	5.058 \| good	26.004 \| good	37.432 \| good	0.775 \| good	6.605 \| good	0.215 \| good
2025-10-25T06:00:00.000Z	33 \| good	4.064 \| good	19.885 \| good	36.119 \| good	0.848 \| good	8.636 \| good	0.212 \| good
2025-10-25T07:00:00.000Z	31 \| good	3.256 \| good	13.25 \| good	32.566 \| good	0.682 \| good	5.245 \| good	0.212 \| good
2025-10-25T08:00:00.000Z	31 \| good	3.268 \| good	14.229 \| good	33.921 \| good	0.53 \| good	4.889 \| good	0.243 \| good
2025-10-25T09:00:00.000Z	30 \| good	3.262 \| good	13.816 \| good	31.578 \| good	0.457 \| good	4.561 \| good	0.212 \| good
2025-10-25T10:00:00.000Z	31 \| good	3.224 \| good	13.381 \| good	33.364 \| good	0.537 \| good	4.216 \| good	0.181 \| good
2025-10-25T11:00:00.000Z	31 \| good	3.206 \| good	13.157 \| good	33.458 \| good	0.471 \| good	6.979 \| good	0.15 \| good
2025-10-25T12:00:00.000Z	32 \| good	3.364 \| good	13.851 \| good	35.456 \| good	0.601 \| good	7.733 \| good	0.181 \| good
2025-10-25T12:00:00.000Z	31 \| good	3.206 \| good	13.157 \| good	33.458 \| good	0.471 \| good	6.979 \| good	0.15 \| good
2025-10-24T10:00:00.000Z	17 \| good	2.977 \| good	12.009 \| good	17.577 \| good	0.579 \| good	2.845 \| good	0.145 \| good
2025-10-24T11:00:00.000Z	27 \| good	4.676 \| good	20.276 \| good	16.12 \| good	0.583 \| good	3.32 \| good	0.148 \| good
2025-10-24T12:00:00.000Z	33 \| good	6.119 \| good	26.846 \| good	19.616 \| good	0.588 \| good	3.796 \| good	0.151 \| good
2025-10-24T13:00:00.000Z	33 \| good	6.168 \| good	27.08 \| good	28.928 \| good	0.57 \| good	3.001 \| good	0.147 \| good
2025-10-24T14:00:00.000Z	33 \| good	4.957 \| good	21.718 \| good	35.944 \| good	0.552 \| good	2.206 \| good	0.143 \| good
2025-10-24T15:00:00.000Z	38 \| good	4.728 \| good	20.47 \| good	40.589 \| good	0.535 \| good	1.411 \| good	0.139 \| good
2025-10-24T16:00:00.000Z	38 \| good	4.837 \| good	21 \| good	40.905 \| good	0.495 \| good	1.137 \| good	0.134 \| good
2025-10-24T17:00:00.000Z	36 \| good	5.022 \| good	21.697 \| good	39.455 \| good	0.455 \| good	0.864 \| good	0.13 \| good
2025-10-24T18:00:00.000Z	35 \| good	5.085 \| good	21.697 \| good	38.369 \| good	0.415 \| good	0.591 \| good	0.126 \| good
2025-10-24T19:00:00.000Z	36 \| good	4.824 \| good	21 \| good	38.786 \| good	0.417 \| good	0.682 \| good	0.126 \| good
2025-10-24T20:00:00.000Z	36 \| good	4.516 \| good	19.869 \| good	39.412 \| good	0.418 \| good	0.774 \| good	0.127 \| good
2025-10-24T21:00:00.000Z	36 \| good	4.077 \| good	18.013 \| good	39.234 \| good	0.42 \| good	0.866 \| good	0.127 \| good
2025-10-24T22:00:00.000Z	37 \| good	2.413 \| good	10.013 \| good	39.786 \| good	0.46 \| good	1.722 \| good	0.134 \| good
2025-10-24T23:00:00.000Z	34 \| good	0.818 \| good	3.014 \| good	37.246 \| good	0.5 \| good	2.579 \| good	0.141 \| good
2025-10-25T00:00:00.000Z	31 \| good	2.862 \| good	11.631 \| good	34.483 \| good	0.54 \| good	3.435 \| good	0.148 \| good
2025-10-25T01:00:00.000Z	31 \| good	3.315 \| good	14.601 \| good	32.865 \| good	0.559 \| good	3.523 \| good	0.149 \| good
2025-10-25T02:00:00.000Z	29 \| good	3.573 \| good	15.602 \| good	31.178 \| good	0.578 \| good	3.612 \| good	0.15 \| good
2025-10-25T03:00:00.000Z	26 \| good	3.426 \| good	15.009 \| good	28.016 \| good	0.598 \| good	3.7 \| good	0.151 \| good
2025-10-25T04:00:00.000Z	24 \| good	3.544 \| good	15.516 \| good	25.6 \| good	0.58 \| good	3.246 \| good	0.148 \| good
2025-10-25T05:00:00.000Z	21 \| good	3.334 \| good	14.562 \| good	23.43 \| good	0.563 \| good	2.792 \| good	0.145 \| good
2025-10-25T06:00:00.000Z	20 \| good	2.905 \| good	12.195 \| good	21.645 \| good	0.545 \| good	2.337 \| good	0.142 \| good
2025-10-25T07:00:00.000Z	19 \| good	2.795 \| good	11.361 \| good	20.305 \| good	0.537 \| good	2.075 \| good	0.14 \| good
2025-10-25T08:00:00.000Z	18 \| good	2.832 \| good	11.397 \| good	18.854 \| good	0.528 \| good	1.814 \| good	0.137 \| good
2025-10-25T09:00:00.000Z	19 \| good	3.186 \| good	13.32 \| good	19.645 \| good	0.519 \| good	1.552 \| good	0.134 \| good
2025-10-25T10:00:00.000Z	22 \| good	3.672 \| good	16.129 \| good	23.615 \| good	0.539 \| good	2.111 \| good	0.138 \| good
2025-10-25T11:00:00.000Z	22 \| good	3.281 \| good	14.526 \| good	24.342 \| good	0.559 \| good	2.67 \| good	0.142 \| good
2025-10-25T12:00:00.000Z	25 \| good	4.168 \| good	18.209 \| good	26.782 \| good	0.578 \| good	3.229 \| good	0.145 \| good
2025-10-25T13:00:00.000Z	30 \| good	4.473 \| good	19.488 \| good	31.522 \| good	0.569 \| good	2.509 \| good	0.141 \| good
2025-10-25T14:00:00.000Z	35 \| good	4.342 \| good	19.017 \| good	37.612 \| good	0.559 \| good	1.789 \| good	0.137 \| good
2025-10-25T15:00:00.000Z	35 \| good	5.224 \| good	22.478 \| good	38.164 \| good	0.55 \| good	1.069 \| good	0.133 \| good
2025-10-25T16:00:00.000Z	37 \| good	5.922 \| good	25.894 \| good	39.951 \| good	0.522 \| good	0.902 \| good	0.13 \| good
2025-10-25T17:00:00.000Z	37 \| good	5.528 \| good	23.519 \| good	39.96 \| good	0.494 \| good	0.736 \| good	0.127 \| good
2025-10-25T18:00:00.000Z	36 \| good	5.488 \| good	23.435 \| good	38.666 \| good	0.465 \| good	0.569 \| good	0.124 \| good
2025-10-25T19:00:00.000Z	35 \| good	5.155 \| good	22.384 \| good	38.402 \| good	0.453 \| good	0.664 \| good	0.124 \| good
2025-10-25T20:00:00.000Z	35 \| good	5.413 \| good	23.351 \| good	38.116 \| good	0.441 \| good	0.759 \| good	0.123 \| good
2025-10-25T21:00:00.000Z	35 \| good	5.28 \| good	22.959 \| good	38.139 \| good	0.428 \| good	0.853 \| good	0.123 \| good
2025-10-25T22:00:00.000Z	33 \| good	4.569 \| good	20.028 \| good	35.98 \| good	0.448 \| good	1.531 \| good	0.127 \| good
2025-10-25T23:00:00.000Z	31 \| good	4.62 \| good	20.351 \| good	34.48 \| good	0.468 \| good	2.21 \| good	0.132 \| good
2025-10-26T00:00:00.000Z	33 \| good	5.643 \| good	24.384 \| good	31.666 \| good	0.488 \| good	2.888 \| good	0.136 \| good
2025-10-26T01:00:00.000Z	31 \| good	5.312 \| good	22.964 \| good	33.964 \| good	0.473 \| good	2.635 \| good	0.133 \| good
2025-10-26T02:00:00.000Z	31 \| good	5.158 \| good	22.471 \| good	34.281 \| good	0.457 \| good	2.382 \| good	0.131 \| good
2025-10-26T03:00:00.000Z	31 \| good	5.007 \| good	21.584 \| good	32.523 \| good	0.442 \| good	2.129 \| good	0.128 \| good
2025-10-26T04:00:00.000Z	30 \| good	5.107 \| good	22.016 \| good	31.5 \| good	0.412 \| good	1.861 \| good	0.125 \| good
2025-10-26T05:00:00.000Z	27 \| good	5.197 \| good	22.584 \| good	28.665 \| good	0.383 \| good	1.594 \| good	0.123 \| good
2025-10-26T06:00:00.000Z	42 \| good	5.337 \| good	7.51 \| good	44.726 \| good	0.353 \| good	1.323 \| good	0.12 \| good
2025-10-26T07:00:00.000Z	27 \| good	4.988 \| good	21.45 \| good	27.38 \| good	0.34 \| good	1.229 \| good	0.119 \| good
2025-10-26T08:00:00.000Z	27 \| good	5.152 \| good	22.398 \| good	25.072 \| good	0.327 \| good	1.132 \| good	0.117 \| good
2025-10-26T09:00:00.000Z	27 \| good	4.939 \| good	21.398 \| good	23.677 \| good	0.313 \| good	1.035 \| good	0.116 \| good

Wekiwa Springs

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Wekiwa Springs, Florida air quality map: Track AQI near you

0.27ppm

How accurate is Florida, USA air quality data?

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

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Wekiwa Springs, Florida updated?

The air quality for Wekiwa Springs, Florida is updated every hour.

When was the worst air quality at Wekiwa Springs, Florida in the last 24 hrs?

The worst air quality in Wekiwa Springs, Florida in the last 24 hours was observed at 10:00:00 on 2025-10-23.

When was the best air quality at Wekiwa Springs, Florida in the last 24 hrs?

In the last 24 hrs, the best air quality in Wekiwa Springs, Florida was observed at 08:00:00 on 2025-10-24.

What is the current air quality in Wekiwa Springs, Florida?

The current air quality in Wekiwa Springs, Florida is 27, categorized as Good based on real-time data.

What pollutant is the most common in Wekiwa Springs, Florida?

The most common pollutant in Wekiwa Springs, Florida is O3.

What should I do if the air quality in Wekiwa Springs, Florida is poor?

If the air quality in Wekiwa Springs, Florida is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Wekiwa Springs, Florida?

The current PM_2.5 concentration at Wekiwa Springs, Florida is 3.914 μg/m³.

What is the current concentration of PM₁₀ in Wekiwa Springs, Florida?

The current PM₁₀ concentration at Wekiwa Springs, Florida is 14.587 μg/m³.

What is the current concentration of carbon monoxide (CO) in Wekiwa Springs, Florida?

The current carbon monoxide (CO) concentration at Wekiwa Springs, Florida is 0.19 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Wekiwa Springs, Florida?

The current sulfur dioxide (SO₂) concentration at Wekiwa Springs, Florida is 0.729 ppb.

What is the current concentration of ozone (O₃) in Wekiwa Springs, Florida?

The current ozone (O₃) concentration at Wekiwa Springs, Florida is 29.009 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Wekiwa Springs, Florida?

The current nitrogen dioxide (NO₂) concentration at Wekiwa Springs, Florida is 6.98 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-23T13:00:00.000Z	52 \| moderate	10.247 \| good	44.865 \| good	24.057 \| good	0.694 \| good	17.936 \| good	0.341 \| good
2025-10-23T14:00:00.000Z	49 \| good	9.402 \| good	21.058 \| good	23.513 \| good	0.643 \| good	16.137 \| good	0.35 \| good
2025-10-23T15:00:00.000Z	49 \| good	9.342 \| good	36.262 \| good	26.123 \| good	0.551 \| good	13.633 \| good	0.324 \| good
2025-10-23T16:00:00.000Z	49 \| good	8.866 \| good	35.945 \| good	29.133 \| good	0.713 \| good	12.335 \| good	0.261 \| good
2025-10-23T17:00:00.000Z	44 \| good	7.673 \| good	32.251 \| good	35.46 \| good	0.849 \| good	10.553 \| good	0.258 \| good
2025-10-23T18:00:00.000Z	38 \| good	7.114 \| good	30.998 \| good	36.734 \| good	1.011 \| good	8.536 \| good	0.227 \| good
2025-10-23T19:00:00.000Z	38 \| good	7.179 \| good	28.509 \| good	41.129 \| good	0.927 \| good	10.895 \| good	0.258 \| good
2025-10-23T20:00:00.000Z	44 \| good	7.077 \| good	27.344 \| good	46.633 \| good	0.918 \| good	10.8 \| good	0.258 \| good
2025-10-23T21:00:00.000Z	42 \| good	6.994 \| good	24.883 \| good	45.337 \| good	0.89 \| good	8.047 \| good	0.289 \| good
2025-10-23T22:00:00.000Z	41 \| good	5.813 \| good	22.565 \| good	43.743 \| good	1.277 \| good	7.734 \| good	0.32 \| good
2025-10-23T23:00:00.000Z	45 \| good	6.487 \| good	27.589 \| good	49.065 \| good	0.873 \| good	7.608 \| good	0.32 \| good
2025-10-24T00:00:00.000Z	44 \| good	5.889 \| good	26.468 \| good	48.217 \| good	0.802 \| good	7.603 \| good	0.253 \| good
2025-10-24T01:00:00.000Z	43 \| good	4.72 \| good	20.182 \| good	45.665 \| good	0.927 \| good	6.744 \| good	0.222 \| good
2025-10-24T02:00:00.000Z	42 \| good	4.19 \| good	17.016 \| good	45.186 \| good	0.839 \| good	5.682 \| good	0.215 \| good
2025-10-24T03:00:00.000Z	27 \| good	2.855 \| good	11.942 \| good	28.582 \| good	0.65 \| good	4.386 \| good	0.162 \| good
2025-10-24T04:00:00.000Z	35 \| good	3.912 \| good	16.613 \| good	38.46 \| good	0.819 \| good	4.906 \| good	0.181 \| good
2025-10-24T05:00:00.000Z	33 \| good	3.613 \| good	16.411 \| good	35.848 \| good	0.907 \| good	6.16 \| good	0.224 \| good
2025-10-24T06:00:00.000Z	31 \| good	3.724 \| good	18.489 \| good	32.584 \| good	0.741 \| good	7.067 \| good	0.218 \| good
2025-10-24T07:00:00.000Z	31 \| good	4.008 \| good	19.665 \| good	33.379 \| good	0.734 \| good	6.713 \| good	0.187 \| good
2025-10-24T08:00:00.000Z	27 \| good	3.914 \| good	14.587 \| good	29.009 \| good	0.729 \| good	6.98 \| good	0.19 \| good
2025-10-24T09:00:00.000Z	26 \| good	3.955 \| good	13.169 \| good	27.871 \| good	0.792 \| good	7.771 \| good	0.166 \| good
2025-10-24T10:00:00.000Z	25 \| good	3.884 \| good	14.88 \| good	26.582 \| good	0.714 \| good	7.205 \| good	0.15 \| good
2025-10-24T11:00:00.000Z	22 \| good	3.99 \| good	18.922 \| good	20.995 \| good	0.657 \| good	8.022 \| good	0.216 \| good
2025-10-24T12:00:00.000Z	27 \| good	3.975 \| good	13.615 \| good	28.689 \| good	0.657 \| good	10.029 \| good	0.25 \| good
2025-10-24T13:00:00.000Z	27 \| good	4.629 \| good	19.652 \| good	21.864 \| good	0.649 \| good	21.921 \| good	0.303 \| good
2025-10-24T14:00:00.000Z	31 \| good	4.49 \| good	18.141 \| good	33.706 \| good	0.727 \| good	22.32 \| good	0.331 \| good
2025-10-24T15:00:00.000Z	27 \| good	4.468 \| good	21.134 \| good	29.421 \| good	0.661 \| good	20.841 \| good	0.405 \| good
2025-10-24T16:00:00.000Z	29 \| good	4.235 \| good	18.734 \| good	31.008 \| good	0.82 \| good	13.19 \| good	0.298 \| good
2025-10-24T17:00:00.000Z	36 \| good	3.865 \| good	17.206 \| good	38.716 \| good	0.806 \| good	11.356 \| good	0.224 \| good
2025-10-24T18:00:00.000Z	36 \| good	3.575 \| good	15.546 \| good	39.36 \| good	0.792 \| good	6.818 \| good	0.255 \| good
2025-10-24T19:00:00.000Z	38 \| good	3.386 \| good	14.821 \| good	41.386 \| good	0.8 \| good	6.771 \| good	0.215 \| good
2025-10-24T20:00:00.000Z	43 \| good	3.36 \| good	14.821 \| good	45.713 \| good	0.786 \| good	6.78 \| good	0.215 \| good
2025-10-24T21:00:00.000Z	44 \| good	3.288 \| good	14.399 \| good	48.154 \| good	0.778 \| good	6.283 \| good	0.212 \| good
2025-10-24T22:00:00.000Z	44 \| good	3.238 \| good	13.972 \| good	47.203 \| good	0.771 \| good	6.035 \| good	0.246 \| good
2025-10-24T23:00:00.000Z	43 \| good	3.252 \| good	14.502 \| good	45.614 \| good	0.837 \| good	6.209 \| good	0.246 \| good
2025-10-25T00:00:00.000Z	39 \| good	3.244 \| good	15.035 \| good	42.332 \| good	0.83 \| good	10.035 \| good	0.25 \| good
2025-10-25T01:00:00.000Z	38 \| good	3.354 \| good	19.407 \| good	41.443 \| good	0.875 \| good	8.247 \| good	0.215 \| good
2025-10-25T02:00:00.000Z	38 \| good	3.43 \| good	23.063 \| good	41.097 \| good	0.844 \| good	8.015 \| good	0.246 \| good
2025-10-25T03:00:00.000Z	33 \| good	6.456 \| good	28.679 \| good	24.148 \| good	0.568 \| good	3.135 \| good	0.146 \| good
2025-10-25T04:00:00.000Z	34 \| good	3.517 \| good	25.092 \| good	37.459 \| good	0.853 \| good	7.299 \| good	0.215 \| good
2025-10-25T05:00:00.000Z	34 \| good	5.058 \| good	26.004 \| good	37.432 \| good	0.775 \| good	6.605 \| good	0.215 \| good
2025-10-25T06:00:00.000Z	33 \| good	4.064 \| good	19.885 \| good	36.119 \| good	0.848 \| good	8.636 \| good	0.212 \| good
2025-10-25T07:00:00.000Z	31 \| good	3.256 \| good	13.25 \| good	32.566 \| good	0.682 \| good	5.245 \| good	0.212 \| good
2025-10-25T08:00:00.000Z	31 \| good	3.268 \| good	14.229 \| good	33.921 \| good	0.53 \| good	4.889 \| good	0.243 \| good
2025-10-25T09:00:00.000Z	30 \| good	3.262 \| good	13.816 \| good	31.578 \| good	0.457 \| good	4.561 \| good	0.212 \| good
2025-10-25T10:00:00.000Z	31 \| good	3.224 \| good	13.381 \| good	33.364 \| good	0.537 \| good	4.216 \| good	0.181 \| good
2025-10-25T11:00:00.000Z	31 \| good	3.206 \| good	13.157 \| good	33.458 \| good	0.471 \| good	6.979 \| good	0.15 \| good
2025-10-25T12:00:00.000Z	32 \| good	3.364 \| good	13.851 \| good	35.456 \| good	0.601 \| good	7.733 \| good	0.181 \| good
2025-10-25T12:00:00.000Z	31 \| good	3.206 \| good	13.157 \| good	33.458 \| good	0.471 \| good	6.979 \| good	0.15 \| good
2025-10-24T10:00:00.000Z	17 \| good	2.977 \| good	12.009 \| good	17.577 \| good	0.579 \| good	2.845 \| good	0.145 \| good
2025-10-24T11:00:00.000Z	27 \| good	4.676 \| good	20.276 \| good	16.12 \| good	0.583 \| good	3.32 \| good	0.148 \| good
2025-10-24T12:00:00.000Z	33 \| good	6.119 \| good	26.846 \| good	19.616 \| good	0.588 \| good	3.796 \| good	0.151 \| good
2025-10-24T13:00:00.000Z	33 \| good	6.168 \| good	27.08 \| good	28.928 \| good	0.57 \| good	3.001 \| good	0.147 \| good
2025-10-24T14:00:00.000Z	33 \| good	4.957 \| good	21.718 \| good	35.944 \| good	0.552 \| good	2.206 \| good	0.143 \| good
2025-10-24T15:00:00.000Z	38 \| good	4.728 \| good	20.47 \| good	40.589 \| good	0.535 \| good	1.411 \| good	0.139 \| good
2025-10-24T16:00:00.000Z	38 \| good	4.837 \| good	21 \| good	40.905 \| good	0.495 \| good	1.137 \| good	0.134 \| good
2025-10-24T17:00:00.000Z	36 \| good	5.022 \| good	21.697 \| good	39.455 \| good	0.455 \| good	0.864 \| good	0.13 \| good
2025-10-24T18:00:00.000Z	35 \| good	5.085 \| good	21.697 \| good	38.369 \| good	0.415 \| good	0.591 \| good	0.126 \| good
2025-10-24T19:00:00.000Z	36 \| good	4.824 \| good	21 \| good	38.786 \| good	0.417 \| good	0.682 \| good	0.126 \| good
2025-10-24T20:00:00.000Z	36 \| good	4.516 \| good	19.869 \| good	39.412 \| good	0.418 \| good	0.774 \| good	0.127 \| good
2025-10-24T21:00:00.000Z	36 \| good	4.077 \| good	18.013 \| good	39.234 \| good	0.42 \| good	0.866 \| good	0.127 \| good
2025-10-24T22:00:00.000Z	37 \| good	2.413 \| good	10.013 \| good	39.786 \| good	0.46 \| good	1.722 \| good	0.134 \| good
2025-10-24T23:00:00.000Z	34 \| good	0.818 \| good	3.014 \| good	37.246 \| good	0.5 \| good	2.579 \| good	0.141 \| good
2025-10-25T00:00:00.000Z	31 \| good	2.862 \| good	11.631 \| good	34.483 \| good	0.54 \| good	3.435 \| good	0.148 \| good
2025-10-25T01:00:00.000Z	31 \| good	3.315 \| good	14.601 \| good	32.865 \| good	0.559 \| good	3.523 \| good	0.149 \| good
2025-10-25T02:00:00.000Z	29 \| good	3.573 \| good	15.602 \| good	31.178 \| good	0.578 \| good	3.612 \| good	0.15 \| good
2025-10-25T03:00:00.000Z	26 \| good	3.426 \| good	15.009 \| good	28.016 \| good	0.598 \| good	3.7 \| good	0.151 \| good
2025-10-25T04:00:00.000Z	24 \| good	3.544 \| good	15.516 \| good	25.6 \| good	0.58 \| good	3.246 \| good	0.148 \| good
2025-10-25T05:00:00.000Z	21 \| good	3.334 \| good	14.562 \| good	23.43 \| good	0.563 \| good	2.792 \| good	0.145 \| good
2025-10-25T06:00:00.000Z	20 \| good	2.905 \| good	12.195 \| good	21.645 \| good	0.545 \| good	2.337 \| good	0.142 \| good
2025-10-25T07:00:00.000Z	19 \| good	2.795 \| good	11.361 \| good	20.305 \| good	0.537 \| good	2.075 \| good	0.14 \| good
2025-10-25T08:00:00.000Z	18 \| good	2.832 \| good	11.397 \| good	18.854 \| good	0.528 \| good	1.814 \| good	0.137 \| good
2025-10-25T09:00:00.000Z	19 \| good	3.186 \| good	13.32 \| good	19.645 \| good	0.519 \| good	1.552 \| good	0.134 \| good
2025-10-25T10:00:00.000Z	22 \| good	3.672 \| good	16.129 \| good	23.615 \| good	0.539 \| good	2.111 \| good	0.138 \| good
2025-10-25T11:00:00.000Z	22 \| good	3.281 \| good	14.526 \| good	24.342 \| good	0.559 \| good	2.67 \| good	0.142 \| good
2025-10-25T12:00:00.000Z	25 \| good	4.168 \| good	18.209 \| good	26.782 \| good	0.578 \| good	3.229 \| good	0.145 \| good
2025-10-25T13:00:00.000Z	30 \| good	4.473 \| good	19.488 \| good	31.522 \| good	0.569 \| good	2.509 \| good	0.141 \| good
2025-10-25T14:00:00.000Z	35 \| good	4.342 \| good	19.017 \| good	37.612 \| good	0.559 \| good	1.789 \| good	0.137 \| good
2025-10-25T15:00:00.000Z	35 \| good	5.224 \| good	22.478 \| good	38.164 \| good	0.55 \| good	1.069 \| good	0.133 \| good
2025-10-25T16:00:00.000Z	37 \| good	5.922 \| good	25.894 \| good	39.951 \| good	0.522 \| good	0.902 \| good	0.13 \| good
2025-10-25T17:00:00.000Z	37 \| good	5.528 \| good	23.519 \| good	39.96 \| good	0.494 \| good	0.736 \| good	0.127 \| good
2025-10-25T18:00:00.000Z	36 \| good	5.488 \| good	23.435 \| good	38.666 \| good	0.465 \| good	0.569 \| good	0.124 \| good
2025-10-25T19:00:00.000Z	35 \| good	5.155 \| good	22.384 \| good	38.402 \| good	0.453 \| good	0.664 \| good	0.124 \| good
2025-10-25T20:00:00.000Z	35 \| good	5.413 \| good	23.351 \| good	38.116 \| good	0.441 \| good	0.759 \| good	0.123 \| good
2025-10-25T21:00:00.000Z	35 \| good	5.28 \| good	22.959 \| good	38.139 \| good	0.428 \| good	0.853 \| good	0.123 \| good
2025-10-25T22:00:00.000Z	33 \| good	4.569 \| good	20.028 \| good	35.98 \| good	0.448 \| good	1.531 \| good	0.127 \| good
2025-10-25T23:00:00.000Z	31 \| good	4.62 \| good	20.351 \| good	34.48 \| good	0.468 \| good	2.21 \| good	0.132 \| good
2025-10-26T00:00:00.000Z	33 \| good	5.643 \| good	24.384 \| good	31.666 \| good	0.488 \| good	2.888 \| good	0.136 \| good
2025-10-26T01:00:00.000Z	31 \| good	5.312 \| good	22.964 \| good	33.964 \| good	0.473 \| good	2.635 \| good	0.133 \| good
2025-10-26T02:00:00.000Z	31 \| good	5.158 \| good	22.471 \| good	34.281 \| good	0.457 \| good	2.382 \| good	0.131 \| good
2025-10-26T03:00:00.000Z	31 \| good	5.007 \| good	21.584 \| good	32.523 \| good	0.442 \| good	2.129 \| good	0.128 \| good
2025-10-26T04:00:00.000Z	30 \| good	5.107 \| good	22.016 \| good	31.5 \| good	0.412 \| good	1.861 \| good	0.125 \| good
2025-10-26T05:00:00.000Z	27 \| good	5.197 \| good	22.584 \| good	28.665 \| good	0.383 \| good	1.594 \| good	0.123 \| good
2025-10-26T06:00:00.000Z	42 \| good	5.337 \| good	7.51 \| good	44.726 \| good	0.353 \| good	1.323 \| good	0.12 \| good
2025-10-26T07:00:00.000Z	27 \| good	4.988 \| good	21.45 \| good	27.38 \| good	0.34 \| good	1.229 \| good	0.119 \| good
2025-10-26T08:00:00.000Z	27 \| good	5.152 \| good	22.398 \| good	25.072 \| good	0.327 \| good	1.132 \| good	0.117 \| good
2025-10-26T09:00:00.000Z	27 \| good	4.939 \| good	21.398 \| good	23.677 \| good	0.313 \| good	1.035 \| good	0.116 \| good

Wekiwa Springs, Florida live air quality index now

Major air pollutants in Wekiwa Springs, Florida

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Wekiwa Springs, Florida air quality map: Track AQI near you

Air quality in nearby cities

Forest City, Florida

Altamonte Springs, Florida

Longwood, Florida

Casselberry, Florida

Lockhart, Florida

Maitland, Florida

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Frequently asked questions

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What is the current air quality in Wekiwa Springs, Florida?

What pollutant is the most common in Wekiwa Springs, Florida?

What should I do if the air quality in Wekiwa Springs, Florida is poor?

What is the current concentration of PM2.5 in Wekiwa Springs, Florida?

What is the current concentration of PM10 in Wekiwa Springs, Florida?

What is the current concentration of carbon monoxide (CO) in Wekiwa Springs, Florida?

What is the current concentration of sulfur dioxide (SO2) in Wekiwa Springs, Florida?

What is the current concentration of ozone (O3) in Wekiwa Springs, Florida?

What is the current concentration of nitrogen dioxide (NO2) in Wekiwa Springs, Florida?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Wekiwa Springs, Florida?

What is the current concentration of PM₁₀ in Wekiwa Springs, Florida?

What is the current concentration of sulfur dioxide (SO₂) in Wekiwa Springs, Florida?

What is the current concentration of ozone (O₃) in Wekiwa Springs, Florida?

What is the current concentration of nitrogen dioxide (NO₂) in Wekiwa Springs, Florida?