What are the current PM10 levels at South Daytona, Florida?

The current PM10 levels in South Daytona, Florida are 16.288 μg/m3.

What are the current sulfur dioxide (SO2) levels at South Daytona, Florida?

The current sulfur dioxide (SO2) levels in South Daytona, Florida are 0.643 ppb.

What are the current ozone (O3) levels at South Daytona, Florida?

The current ozone (O3) levels at South Daytona, Florida is 44.884 ppm.

What are the current nitrogen dioxide (NO2) levels at South Daytona, Florida?

The current nitrogen dioxide (NO2) levels at South Daytona, Florida is 4.961 ppb.

Real-time air quality index in South Daytona, Florida today

Q: What are the current PM2.5 levels in South Daytona, Florida?

The measured PM2.5 levels in South Daytona, Florida at present are 4.709 μg/m3.

Stay updated with real-time air quality in South Daytona, 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

South Daytona, Florida

Last updated: ... (Local time)

Common air pollutants in South Daytona, Florida

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.29 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.96 μg/m³

155

255

425

605+

Ozone (O₃)

47.40 ppb

201

201+

Sulfur Dioxide (SO₂)

0.63 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.76 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

South Daytona, Florida

Get Live Pollen Counts

South Daytona, Florida

Scroll To Air Quality Map

Track live South Daytona, Florida air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-24T14:00:00.000Z	34 \| good	3.58 \| good	11.549 \| good	37.163 \| good	1.158 \| good	20.315 \| good	0.341 \| good
2025-10-24T15:00:00.000Z	41 \| good	3.612 \| good	12.801 \| good	44.08 \| good	1.256 \| good	17.438 \| good	0.365 \| good
2025-10-24T16:00:00.000Z	43 \| good	3.552 \| good	12.984 \| good	46.395 \| good	1.183 \| good	9.842 \| good	0.26 \| good
2025-10-24T17:00:00.000Z	44 \| good	3.445 \| good	11.711 \| good	46.814 \| good	1.008 \| good	8.251 \| good	0.206 \| good
2025-10-24T18:00:00.000Z	45 \| good	3.319 \| good	11.658 \| good	49.071 \| good	0.767 \| good	5.87 \| good	0.232 \| good
2025-10-24T19:00:00.000Z	45 \| good	3.211 \| good	11.318 \| good	49.33 \| good	0.779 \| good	5.883 \| good	0.213 \| good
2025-10-24T20:00:00.000Z	46 \| good	3.133 \| good	12.176 \| good	50.5 \| good	0.753 \| good	5.919 \| good	0.204 \| good
2025-10-24T21:00:00.000Z	46 \| good	3.159 \| good	11.34 \| good	49.608 \| good	0.753 \| good	5.567 \| good	0.204 \| good
2025-10-24T22:00:00.000Z	45 \| good	3.167 \| good	13.159 \| good	48.693 \| good	0.86 \| good	5.132 \| good	0.239 \| good
2025-10-24T23:00:00.000Z	43 \| good	3.05 \| good	11.695 \| good	45.806 \| good	0.843 \| good	6.109 \| good	0.239 \| good
2025-10-25T00:00:00.000Z	41 \| good	2.948 \| good	11.269 \| good	43.88 \| good	0.82 \| good	6.989 \| good	0.279 \| good
2025-10-25T01:00:00.000Z	38 \| good	2.955 \| good	12.404 \| good	41.046 \| good	1.337 \| good	6.867 \| good	0.244 \| good
2025-10-25T02:00:00.000Z	34 \| good	3.017 \| good	12.408 \| good	37.296 \| good	0.925 \| good	6.709 \| good	0.254 \| good
2025-10-25T03:00:00.000Z	38 \| good	7.019 \| good	31.359 \| good	32.311 \| good	0.407 \| good	1.05 \| good	0.133 \| good
2025-10-25T04:00:00.000Z	38 \| good	3.177 \| good	12.569 \| good	40.753 \| good	0.844 \| good	10.319 \| good	0.259 \| good
2025-10-25T05:00:00.000Z	41 \| good	3.257 \| good	12.674 \| good	44.333 \| good	0.819 \| good	9.072 \| good	0.259 \| good
2025-10-25T06:00:00.000Z	43 \| good	3.299 \| good	11.979 \| good	45.947 \| good	0.851 \| good	9.192 \| good	0.249 \| good
2025-10-25T07:00:00.000Z	43 \| good	3.279 \| good	11.589 \| good	45.858 \| good	0.744 \| good	6.372 \| good	0.234 \| good
2025-10-25T08:00:00.000Z	42 \| good	3.298 \| good	11.566 \| good	45.155 \| good	0.648 \| good	6.296 \| good	0.275 \| good
2025-10-25T09:00:00.000Z	40 \| good	3.25 \| good	11.333 \| good	43.163 \| good	0.628 \| good	5.825 \| good	0.234 \| good
2025-10-25T10:00:00.000Z	39 \| good	3.422 \| good	12.148 \| good	42.193 \| good	0.688 \| good	5.716 \| good	0.208 \| good
2025-10-25T11:00:00.000Z	41 \| good	3.478 \| good	13.107 \| good	43.999 \| good	0.656 \| good	8.788 \| good	0.167 \| good
2025-10-25T12:00:00.000Z	42 \| good	3.665 \| good	13.113 \| good	45.004 \| good	0.682 \| good	10.233 \| good	0.208 \| good
2025-10-25T13:00:00.000Z	42 \| good	3.936 \| good	13.983 \| good	45.055 \| good	0.616 \| good	11.591 \| good	0.208 \| good
2025-10-25T14:00:00.000Z	40 \| good	4.054 \| good	14.412 \| good	43.298 \| good	0.705 \| good	6.112 \| good	0.256 \| good
2025-10-25T15:00:00.000Z	41 \| good	4.075 \| good	13.527 \| good	43.69 \| good	0.74 \| good	5.449 \| good	0.258 \| good
2025-10-25T16:00:00.000Z	42 \| good	4.014 \| good	13.759 \| good	44.642 \| good	0.75 \| good	3.859 \| good	0.217 \| good
2025-10-25T17:00:00.000Z	43 \| good	3.907 \| good	14.377 \| good	45.732 \| good	0.749 \| good	4.622 \| good	0.189 \| good
2025-10-25T18:00:00.000Z	42 \| good	3.903 \| good	13.448 \| good	44.968 \| good	0.81 \| good	4.631 \| good	0.189 \| good
2025-10-25T19:00:00.000Z	43 \| good	3.904 \| good	13.75 \| good	46.023 \| good	0.805 \| good	4.436 \| good	0.189 \| good
2025-10-25T20:00:00.000Z	43 \| good	4.095 \| good	13.573 \| good	45.901 \| good	0.874 \| good	4.934 \| good	0.215 \| good
2025-10-25T21:00:00.000Z	44 \| good	4.249 \| good	13.43 \| good	46.817 \| good	0.791 \| good	3.466 \| good	0.224 \| good
2025-10-25T22:00:00.000Z	43 \| good	4.516 \| good	14.992 \| good	45.813 \| good	0.749 \| good	4.231 \| good	0.198 \| good
2025-10-25T23:00:00.000Z	42 \| good	5.042 \| good	15.206 \| good	45.09 \| good	0.637 \| good	4.302 \| good	0.267 \| good
2025-10-26T00:00:00.000Z	42 \| good	3.926 \| good	14.525 \| good	45.074 \| good	0.592 \| good	3.365 \| good	0.269 \| good
2025-10-26T01:00:00.000Z	44 \| good	4.234 \| good	14.43 \| good	46.788 \| good	0.897 \| good	4.536 \| good	0.394 \| good
2025-10-26T02:00:00.000Z	45 \| good	4.177 \| good	15.953 \| good	48.502 \| good	0.799 \| good	5.217 \| good	0.347 \| good
2025-10-26T03:00:00.000Z	47 \| good	4.221 \| good	15.527 \| good	51.077 \| good	0.779 \| good	5.272 \| good	0.456 \| good
2025-10-26T04:00:00.000Z	48 \| good	4.292 \| good	15.529 \| good	52.043 \| good	0.687 \| good	4.357 \| good	0.302 \| good
2025-10-26T05:00:00.000Z	46 \| good	4.378 \| good	15.519 \| good	50.354 \| good	0.648 \| good	5.216 \| good	0.261 \| good
2025-10-26T06:00:00.000Z	43 \| good	4.524 \| good	16.347 \| good	45.869 \| good	0.658 \| good	5.583 \| good	0.258 \| good
2025-10-26T07:00:00.000Z	42 \| good	4.71 \| good	16.366 \| good	44.837 \| good	0.645 \| good	4.987 \| good	0.23 \| good
2025-10-26T08:00:00.000Z	43 \| good	4.971 \| good	18.005 \| good	46.394 \| good	0.736 \| good	5.937 \| good	0.313 \| good
2025-10-26T09:00:00.000Z	42 \| good	5.241 \| good	18.909 \| good	45.491 \| good	0.683 \| good	5.112 \| good	0.23 \| good
2025-10-26T10:00:00.000Z	42 \| good	6.343 \| good	19.028 \| good	45.454 \| good	0.538 \| good	3.8 \| good	0.152 \| good
2025-10-26T11:00:00.000Z	41 \| good	6.131 \| good	19.004 \| good	44.41 \| good	0.57 \| good	3.141 \| good	0.152 \| good
2025-10-26T12:00:00.000Z	44 \| good	6.263 \| good	19.953 \| good	47.212 \| good	0.634 \| good	3.774 \| good	0.18 \| good
2025-10-26T13:00:00.000Z	44 \| good	6.294 \| good	19.964 \| good	47.404 \| good	0.632 \| good	3.76 \| good	0.18 \| good
2025-10-26T08:00:00.000Z	44 \| good	7.56 \| good	33.067 \| good	29.402 \| good	0.161 \| good	0.328 \| good	0.114 \| good
2025-10-26T09:00:00.000Z	38 \| good	7.044 \| good	31 \| good	35.755 \| good	0.145 \| good	0.312 \| good	0.113 \| good
2025-10-26T10:00:00.000Z	37 \| good	5.018 \| good	21.839 \| good	39.796 \| good	0.136 \| good	0.421 \| good	0.114 \| good
2025-10-26T11:00:00.000Z	38 \| good	7.283 \| good	31.94 \| good	41.319 \| good	0.127 \| good	0.531 \| good	0.115 \| good
2025-10-26T12:00:00.000Z	39 \| good	6.38 \| good	28.77 \| good	41.67 \| good	0.118 \| good	0.641 \| good	0.116 \| good
2025-10-26T13:00:00.000Z	36 \| good	5.365 \| good	23 \| good	39.122 \| good	0.111 \| good	0.606 \| good	0.116 \| good
2025-10-26T14:00:00.000Z	38 \| good	4.664 \| good	20.017 \| good	40.938 \| good	0.103 \| good	0.571 \| good	0.116 \| good
2025-10-26T15:00:00.000Z	34 \| good	4.839 \| good	20.967 \| good	37.104 \| good	0.096 \| good	0.536 \| good	0.116 \| good
2025-10-26T16:00:00.000Z	35 \| good	5.058 \| good	21.87 \| good	37.544 \| good	0.094 \| good	0.506 \| good	0.115 \| good
2025-10-26T17:00:00.000Z	35 \| good	4.368 \| good	19.005 \| good	37.834 \| good	0.092 \| good	0.476 \| good	0.114 \| good
2025-10-26T18:00:00.000Z	35 \| good	5.071 \| good	21.834 \| good	38.047 \| good	0.09 \| good	0.446 \| good	0.112 \| good
2025-10-26T19:00:00.000Z	35 \| good	4.804 \| good	20.867 \| good	37.619 \| good	0.092 \| good	0.46 \| good	0.111 \| good
2025-10-26T20:00:00.000Z	35 \| good	3.833 \| good	16.82 \| good	37.662 \| good	0.095 \| good	0.475 \| good	0.11 \| good
2025-10-26T21:00:00.000Z	36 \| good	3.28 \| good	14.068 \| good	39.319 \| good	0.098 \| good	0.49 \| good	0.109 \| good
2025-10-26T22:00:00.000Z	38 \| good	3.928 \| good	17.036 \| good	40.987 \| good	0.096 \| good	0.719 \| good	0.11 \| good
2025-10-26T23:00:00.000Z	38 \| good	4.211 \| good	18.823 \| good	41.416 \| good	0.095 \| good	0.949 \| good	0.111 \| good
2025-10-27T00:00:00.000Z	39 \| good	6.136 \| good	26.975 \| good	42.24 \| good	0.093 \| good	1.178 \| good	0.112 \| good
2025-10-27T01:00:00.000Z	38 \| good	7.277 \| good	31.888 \| good	40.206 \| good	0.095 \| good	1.167 \| good	0.11 \| good
2025-10-27T02:00:00.000Z	44 \| good	7.501 \| good	32.844 \| good	37.108 \| good	0.096 \| good	1.155 \| good	0.108 \| good
2025-10-27T03:00:00.000Z	38 \| good	6.544 \| good	29.587 \| good	35.275 \| good	0.098 \| good	1.143 \| good	0.106 \| good
2025-10-27T04:00:00.000Z	33 \| good	6.424 \| good	28.658 \| good	31.675 \| good	0.095 \| good	1.051 \| good	0.104 \| good
2025-10-27T05:00:00.000Z	27 \| good	5.427 \| good	23.101 \| good	28.365 \| good	0.092 \| good	0.96 \| good	0.101 \| good
2025-10-27T06:00:00.000Z	27 \| good	4.991 \| good	21.823 \| good	22.017 \| good	0.089 \| good	0.868 \| good	0.099 \| good
2025-10-27T07:00:00.000Z	22 \| good	4.225 \| good	18.823 \| good	17.395 \| good	0.096 \| good	0.865 \| good	0.097 \| good
2025-10-27T08:00:00.000Z	22 \| good	3.657 \| good	15.984 \| good	17.201 \| good	0.102 \| good	0.862 \| good	0.095 \| good
2025-10-27T09:00:00.000Z	22 \| good	3.211 \| good	14.036 \| good	23.599 \| good	0.109 \| good	0.859 \| good	0.093 \| good
2025-10-27T10:00:00.000Z	22 \| good	3.53 \| good	15.813 \| good	22.617 \| good	0.118 \| good	1.121 \| good	0.094 \| good
2025-10-27T11:00:00.000Z	19 \| good	3.01 \| good	12.259 \| good	20.594 \| good	0.127 \| good	1.382 \| good	0.095 \| good
2025-10-27T12:00:00.000Z	22 \| good	2.679 \| good	11.098 \| good	24.345 \| good	0.136 \| good	1.644 \| good	0.095 \| good
2025-10-27T13:00:00.000Z	25 \| good	2.681 \| good	10.983 \| good	26.968 \| good	0.155 \| good	1.484 \| good	0.095 \| good
2025-10-27T14:00:00.000Z	30 \| good	2.147 \| good	8.886 \| good	31.64 \| good	0.175 \| good	1.325 \| good	0.094 \| good
2025-10-27T15:00:00.000Z	29 \| good	1.707 \| good	6.87 \| good	31.389 \| good	0.195 \| good	1.165 \| good	0.093 \| good
2025-10-27T16:00:00.000Z	30 \| good	1.213 \| good	4.87 \| good	32.02 \| good	0.274 \| good	1.056 \| good	0.095 \| good
2025-10-27T17:00:00.000Z	31 \| good	1.147 \| good	4.839 \| good	34.097 \| good	0.353 \| good	0.947 \| good	0.096 \| good
2025-10-27T18:00:00.000Z	34 \| good	1.52 \| good	5.913 \| good	36.98 \| good	0.432 \| good	0.839 \| good	0.097 \| good
2025-10-27T19:00:00.000Z	37 \| good	1.756 \| good	7.057 \| good	40.421 \| good	0.386 \| good	0.953 \| good	0.099 \| good
2025-10-27T20:00:00.000Z	37 \| good	2.411 \| good	9.803 \| good	39.855 \| good	0.339 \| good	1.066 \| good	0.1 \| good
2025-10-27T21:00:00.000Z	36 \| good	3.064 \| good	12.245 \| good	39.094 \| good	0.292 \| good	1.18 \| good	0.102 \| good
2025-10-27T22:00:00.000Z	39 \| good	4.106 \| good	17.846 \| good	42.203 \| good	0.287 \| good	2.306 \| good	0.111 \| good
2025-10-27T23:00:00.000Z	44 \| good	0.525 \| good	1.912 \| good	47.719 \| good	0.281 \| good	3.432 \| good	0.121 \| good
2025-10-28T00:00:00.000Z	46 \| good	0.358 \| good	1.079 \| good	49.941 \| good	0.275 \| good	4.558 \| good	0.13 \| good
2025-10-28T01:00:00.000Z	37 \| good	2.982 \| good	12.011 \| good	39.866 \| good	0.298 \| good	4.116 \| good	0.126 \| good
2025-10-28T02:00:00.000Z	30 \| good	4.395 \| good	18.877 \| good	31.889 \| good	0.32 \| good	3.675 \| good	0.122 \| good
2025-10-28T03:00:00.000Z	25 \| good	3.809 \| good	16.911 \| good	27.205 \| good	0.343 \| good	3.233 \| good	0.118 \| good
2025-10-28T04:00:00.000Z	27 \| good	4.769 \| good	20.9 \| good	17.946 \| good	0.406 \| good	3.582 \| good	0.121 \| good
2025-10-28T05:00:00.000Z	22 \| good	4.294 \| good	18.952 \| good	17.81 \| good	0.469 \| good	3.931 \| good	0.125 \| good
2025-10-28T06:00:00.000Z	28 \| good	3.188 \| good	3.639 \| good	29.564 \| good	0.536 \| good	4.329 \| good	0.128 \| good
2025-10-28T07:00:00.000Z	16 \| good	2.935 \| good	12.15 \| good	10.583 \| good	0.561 \| good	4.337 \| good	0.129 \| good

South Daytona

Empower business decisions with accurate air quality data

South Daytona, Florida air quality map: Real-time AQI near you

0.26ppm

How accurate is Florida, USA air quality data?

Air quality measurements for Florida, 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 South Daytona, Florida updated?

Air quality data for South Daytona, Florida is updated on an hourly basis.

When did South Daytona, Florida experience the worst air quality in the last 24 hours?

The worst air quality in South Daytona, Florida was recorded at 04:00:00 on 2025-10-26.

When did South Daytona, Florida have its best air quality in the last 24 hours?

The best air quality in South Daytona, Florida was recorded at 10:00:00 on 2025-10-25.

What is the real-time air quality index for South Daytona, Florida?

The real-time air quality index in South Daytona, Florida is 42, currently categorized as Good.

Which pollutant is found most often in South Daytona, Florida?

The most common pollutant in South Daytona, Florida is O3.

What can I do if the air quality in South Daytona, Florida is poor?

If the air quality in South Daytona, Florida is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in South Daytona, Florida?

The measured PM_2.5 levels in South Daytona, Florida at present are 4.709 μg/m³.

What are the current PM₁₀ levels at South Daytona, Florida?

The current PM₁₀ levels in South Daytona, Florida are 16.288 μg/m³.

What are the current carbon monoxide (CO) levels at South Daytona, Florida?

The current carbon monoxide (CO) level in South Daytona, Florida is 0.23 ppm.

What are the current sulfur dioxide (SO₂) levels at South Daytona, Florida?

The current sulfur dioxide (SO₂) levels in South Daytona, Florida are 0.643 ppb.

What are the current ozone (O₃) levels at South Daytona, Florida?

The current ozone (O₃) levels at South Daytona, Florida is 44.884 ppm.

What are the current nitrogen dioxide (NO₂) levels at South Daytona, Florida?

The current nitrogen dioxide (NO₂) levels at South Daytona, Florida is 4.961 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-24T14:00:00.000Z	34 \| good	3.58 \| good	11.549 \| good	37.163 \| good	1.158 \| good	20.315 \| good	0.341 \| good
2025-10-24T15:00:00.000Z	41 \| good	3.612 \| good	12.801 \| good	44.08 \| good	1.256 \| good	17.438 \| good	0.365 \| good
2025-10-24T16:00:00.000Z	43 \| good	3.552 \| good	12.984 \| good	46.395 \| good	1.183 \| good	9.842 \| good	0.26 \| good
2025-10-24T17:00:00.000Z	44 \| good	3.445 \| good	11.711 \| good	46.814 \| good	1.008 \| good	8.251 \| good	0.206 \| good
2025-10-24T18:00:00.000Z	45 \| good	3.319 \| good	11.658 \| good	49.071 \| good	0.767 \| good	5.87 \| good	0.232 \| good
2025-10-24T19:00:00.000Z	45 \| good	3.211 \| good	11.318 \| good	49.33 \| good	0.779 \| good	5.883 \| good	0.213 \| good
2025-10-24T20:00:00.000Z	46 \| good	3.133 \| good	12.176 \| good	50.5 \| good	0.753 \| good	5.919 \| good	0.204 \| good
2025-10-24T21:00:00.000Z	46 \| good	3.159 \| good	11.34 \| good	49.608 \| good	0.753 \| good	5.567 \| good	0.204 \| good
2025-10-24T22:00:00.000Z	45 \| good	3.167 \| good	13.159 \| good	48.693 \| good	0.86 \| good	5.132 \| good	0.239 \| good
2025-10-24T23:00:00.000Z	43 \| good	3.05 \| good	11.695 \| good	45.806 \| good	0.843 \| good	6.109 \| good	0.239 \| good
2025-10-25T00:00:00.000Z	41 \| good	2.948 \| good	11.269 \| good	43.88 \| good	0.82 \| good	6.989 \| good	0.279 \| good
2025-10-25T01:00:00.000Z	38 \| good	2.955 \| good	12.404 \| good	41.046 \| good	1.337 \| good	6.867 \| good	0.244 \| good
2025-10-25T02:00:00.000Z	34 \| good	3.017 \| good	12.408 \| good	37.296 \| good	0.925 \| good	6.709 \| good	0.254 \| good
2025-10-25T03:00:00.000Z	38 \| good	7.019 \| good	31.359 \| good	32.311 \| good	0.407 \| good	1.05 \| good	0.133 \| good
2025-10-25T04:00:00.000Z	38 \| good	3.177 \| good	12.569 \| good	40.753 \| good	0.844 \| good	10.319 \| good	0.259 \| good
2025-10-25T05:00:00.000Z	41 \| good	3.257 \| good	12.674 \| good	44.333 \| good	0.819 \| good	9.072 \| good	0.259 \| good
2025-10-25T06:00:00.000Z	43 \| good	3.299 \| good	11.979 \| good	45.947 \| good	0.851 \| good	9.192 \| good	0.249 \| good
2025-10-25T07:00:00.000Z	43 \| good	3.279 \| good	11.589 \| good	45.858 \| good	0.744 \| good	6.372 \| good	0.234 \| good
2025-10-25T08:00:00.000Z	42 \| good	3.298 \| good	11.566 \| good	45.155 \| good	0.648 \| good	6.296 \| good	0.275 \| good
2025-10-25T09:00:00.000Z	40 \| good	3.25 \| good	11.333 \| good	43.163 \| good	0.628 \| good	5.825 \| good	0.234 \| good
2025-10-25T10:00:00.000Z	39 \| good	3.422 \| good	12.148 \| good	42.193 \| good	0.688 \| good	5.716 \| good	0.208 \| good
2025-10-25T11:00:00.000Z	41 \| good	3.478 \| good	13.107 \| good	43.999 \| good	0.656 \| good	8.788 \| good	0.167 \| good
2025-10-25T12:00:00.000Z	42 \| good	3.665 \| good	13.113 \| good	45.004 \| good	0.682 \| good	10.233 \| good	0.208 \| good
2025-10-25T13:00:00.000Z	42 \| good	3.936 \| good	13.983 \| good	45.055 \| good	0.616 \| good	11.591 \| good	0.208 \| good
2025-10-25T14:00:00.000Z	40 \| good	4.054 \| good	14.412 \| good	43.298 \| good	0.705 \| good	6.112 \| good	0.256 \| good
2025-10-25T15:00:00.000Z	41 \| good	4.075 \| good	13.527 \| good	43.69 \| good	0.74 \| good	5.449 \| good	0.258 \| good
2025-10-25T16:00:00.000Z	42 \| good	4.014 \| good	13.759 \| good	44.642 \| good	0.75 \| good	3.859 \| good	0.217 \| good
2025-10-25T17:00:00.000Z	43 \| good	3.907 \| good	14.377 \| good	45.732 \| good	0.749 \| good	4.622 \| good	0.189 \| good
2025-10-25T18:00:00.000Z	42 \| good	3.903 \| good	13.448 \| good	44.968 \| good	0.81 \| good	4.631 \| good	0.189 \| good
2025-10-25T19:00:00.000Z	43 \| good	3.904 \| good	13.75 \| good	46.023 \| good	0.805 \| good	4.436 \| good	0.189 \| good
2025-10-25T20:00:00.000Z	43 \| good	4.095 \| good	13.573 \| good	45.901 \| good	0.874 \| good	4.934 \| good	0.215 \| good
2025-10-25T21:00:00.000Z	44 \| good	4.249 \| good	13.43 \| good	46.817 \| good	0.791 \| good	3.466 \| good	0.224 \| good
2025-10-25T22:00:00.000Z	43 \| good	4.516 \| good	14.992 \| good	45.813 \| good	0.749 \| good	4.231 \| good	0.198 \| good
2025-10-25T23:00:00.000Z	42 \| good	5.042 \| good	15.206 \| good	45.09 \| good	0.637 \| good	4.302 \| good	0.267 \| good
2025-10-26T00:00:00.000Z	42 \| good	3.926 \| good	14.525 \| good	45.074 \| good	0.592 \| good	3.365 \| good	0.269 \| good
2025-10-26T01:00:00.000Z	44 \| good	4.234 \| good	14.43 \| good	46.788 \| good	0.897 \| good	4.536 \| good	0.394 \| good
2025-10-26T02:00:00.000Z	45 \| good	4.177 \| good	15.953 \| good	48.502 \| good	0.799 \| good	5.217 \| good	0.347 \| good
2025-10-26T03:00:00.000Z	47 \| good	4.221 \| good	15.527 \| good	51.077 \| good	0.779 \| good	5.272 \| good	0.456 \| good
2025-10-26T04:00:00.000Z	48 \| good	4.292 \| good	15.529 \| good	52.043 \| good	0.687 \| good	4.357 \| good	0.302 \| good
2025-10-26T05:00:00.000Z	46 \| good	4.378 \| good	15.519 \| good	50.354 \| good	0.648 \| good	5.216 \| good	0.261 \| good
2025-10-26T06:00:00.000Z	43 \| good	4.524 \| good	16.347 \| good	45.869 \| good	0.658 \| good	5.583 \| good	0.258 \| good
2025-10-26T07:00:00.000Z	42 \| good	4.71 \| good	16.366 \| good	44.837 \| good	0.645 \| good	4.987 \| good	0.23 \| good
2025-10-26T08:00:00.000Z	43 \| good	4.971 \| good	18.005 \| good	46.394 \| good	0.736 \| good	5.937 \| good	0.313 \| good
2025-10-26T09:00:00.000Z	42 \| good	5.241 \| good	18.909 \| good	45.491 \| good	0.683 \| good	5.112 \| good	0.23 \| good
2025-10-26T10:00:00.000Z	42 \| good	6.343 \| good	19.028 \| good	45.454 \| good	0.538 \| good	3.8 \| good	0.152 \| good
2025-10-26T11:00:00.000Z	41 \| good	6.131 \| good	19.004 \| good	44.41 \| good	0.57 \| good	3.141 \| good	0.152 \| good
2025-10-26T12:00:00.000Z	44 \| good	6.263 \| good	19.953 \| good	47.212 \| good	0.634 \| good	3.774 \| good	0.18 \| good
2025-10-26T13:00:00.000Z	44 \| good	6.294 \| good	19.964 \| good	47.404 \| good	0.632 \| good	3.76 \| good	0.18 \| good
2025-10-26T08:00:00.000Z	44 \| good	7.56 \| good	33.067 \| good	29.402 \| good	0.161 \| good	0.328 \| good	0.114 \| good
2025-10-26T09:00:00.000Z	38 \| good	7.044 \| good	31 \| good	35.755 \| good	0.145 \| good	0.312 \| good	0.113 \| good
2025-10-26T10:00:00.000Z	37 \| good	5.018 \| good	21.839 \| good	39.796 \| good	0.136 \| good	0.421 \| good	0.114 \| good
2025-10-26T11:00:00.000Z	38 \| good	7.283 \| good	31.94 \| good	41.319 \| good	0.127 \| good	0.531 \| good	0.115 \| good
2025-10-26T12:00:00.000Z	39 \| good	6.38 \| good	28.77 \| good	41.67 \| good	0.118 \| good	0.641 \| good	0.116 \| good
2025-10-26T13:00:00.000Z	36 \| good	5.365 \| good	23 \| good	39.122 \| good	0.111 \| good	0.606 \| good	0.116 \| good
2025-10-26T14:00:00.000Z	38 \| good	4.664 \| good	20.017 \| good	40.938 \| good	0.103 \| good	0.571 \| good	0.116 \| good
2025-10-26T15:00:00.000Z	34 \| good	4.839 \| good	20.967 \| good	37.104 \| good	0.096 \| good	0.536 \| good	0.116 \| good
2025-10-26T16:00:00.000Z	35 \| good	5.058 \| good	21.87 \| good	37.544 \| good	0.094 \| good	0.506 \| good	0.115 \| good
2025-10-26T17:00:00.000Z	35 \| good	4.368 \| good	19.005 \| good	37.834 \| good	0.092 \| good	0.476 \| good	0.114 \| good
2025-10-26T18:00:00.000Z	35 \| good	5.071 \| good	21.834 \| good	38.047 \| good	0.09 \| good	0.446 \| good	0.112 \| good
2025-10-26T19:00:00.000Z	35 \| good	4.804 \| good	20.867 \| good	37.619 \| good	0.092 \| good	0.46 \| good	0.111 \| good
2025-10-26T20:00:00.000Z	35 \| good	3.833 \| good	16.82 \| good	37.662 \| good	0.095 \| good	0.475 \| good	0.11 \| good
2025-10-26T21:00:00.000Z	36 \| good	3.28 \| good	14.068 \| good	39.319 \| good	0.098 \| good	0.49 \| good	0.109 \| good
2025-10-26T22:00:00.000Z	38 \| good	3.928 \| good	17.036 \| good	40.987 \| good	0.096 \| good	0.719 \| good	0.11 \| good
2025-10-26T23:00:00.000Z	38 \| good	4.211 \| good	18.823 \| good	41.416 \| good	0.095 \| good	0.949 \| good	0.111 \| good
2025-10-27T00:00:00.000Z	39 \| good	6.136 \| good	26.975 \| good	42.24 \| good	0.093 \| good	1.178 \| good	0.112 \| good
2025-10-27T01:00:00.000Z	38 \| good	7.277 \| good	31.888 \| good	40.206 \| good	0.095 \| good	1.167 \| good	0.11 \| good
2025-10-27T02:00:00.000Z	44 \| good	7.501 \| good	32.844 \| good	37.108 \| good	0.096 \| good	1.155 \| good	0.108 \| good
2025-10-27T03:00:00.000Z	38 \| good	6.544 \| good	29.587 \| good	35.275 \| good	0.098 \| good	1.143 \| good	0.106 \| good
2025-10-27T04:00:00.000Z	33 \| good	6.424 \| good	28.658 \| good	31.675 \| good	0.095 \| good	1.051 \| good	0.104 \| good
2025-10-27T05:00:00.000Z	27 \| good	5.427 \| good	23.101 \| good	28.365 \| good	0.092 \| good	0.96 \| good	0.101 \| good
2025-10-27T06:00:00.000Z	27 \| good	4.991 \| good	21.823 \| good	22.017 \| good	0.089 \| good	0.868 \| good	0.099 \| good
2025-10-27T07:00:00.000Z	22 \| good	4.225 \| good	18.823 \| good	17.395 \| good	0.096 \| good	0.865 \| good	0.097 \| good
2025-10-27T08:00:00.000Z	22 \| good	3.657 \| good	15.984 \| good	17.201 \| good	0.102 \| good	0.862 \| good	0.095 \| good
2025-10-27T09:00:00.000Z	22 \| good	3.211 \| good	14.036 \| good	23.599 \| good	0.109 \| good	0.859 \| good	0.093 \| good
2025-10-27T10:00:00.000Z	22 \| good	3.53 \| good	15.813 \| good	22.617 \| good	0.118 \| good	1.121 \| good	0.094 \| good
2025-10-27T11:00:00.000Z	19 \| good	3.01 \| good	12.259 \| good	20.594 \| good	0.127 \| good	1.382 \| good	0.095 \| good
2025-10-27T12:00:00.000Z	22 \| good	2.679 \| good	11.098 \| good	24.345 \| good	0.136 \| good	1.644 \| good	0.095 \| good
2025-10-27T13:00:00.000Z	25 \| good	2.681 \| good	10.983 \| good	26.968 \| good	0.155 \| good	1.484 \| good	0.095 \| good
2025-10-27T14:00:00.000Z	30 \| good	2.147 \| good	8.886 \| good	31.64 \| good	0.175 \| good	1.325 \| good	0.094 \| good
2025-10-27T15:00:00.000Z	29 \| good	1.707 \| good	6.87 \| good	31.389 \| good	0.195 \| good	1.165 \| good	0.093 \| good
2025-10-27T16:00:00.000Z	30 \| good	1.213 \| good	4.87 \| good	32.02 \| good	0.274 \| good	1.056 \| good	0.095 \| good
2025-10-27T17:00:00.000Z	31 \| good	1.147 \| good	4.839 \| good	34.097 \| good	0.353 \| good	0.947 \| good	0.096 \| good
2025-10-27T18:00:00.000Z	34 \| good	1.52 \| good	5.913 \| good	36.98 \| good	0.432 \| good	0.839 \| good	0.097 \| good
2025-10-27T19:00:00.000Z	37 \| good	1.756 \| good	7.057 \| good	40.421 \| good	0.386 \| good	0.953 \| good	0.099 \| good
2025-10-27T20:00:00.000Z	37 \| good	2.411 \| good	9.803 \| good	39.855 \| good	0.339 \| good	1.066 \| good	0.1 \| good
2025-10-27T21:00:00.000Z	36 \| good	3.064 \| good	12.245 \| good	39.094 \| good	0.292 \| good	1.18 \| good	0.102 \| good
2025-10-27T22:00:00.000Z	39 \| good	4.106 \| good	17.846 \| good	42.203 \| good	0.287 \| good	2.306 \| good	0.111 \| good
2025-10-27T23:00:00.000Z	44 \| good	0.525 \| good	1.912 \| good	47.719 \| good	0.281 \| good	3.432 \| good	0.121 \| good
2025-10-28T00:00:00.000Z	46 \| good	0.358 \| good	1.079 \| good	49.941 \| good	0.275 \| good	4.558 \| good	0.13 \| good
2025-10-28T01:00:00.000Z	37 \| good	2.982 \| good	12.011 \| good	39.866 \| good	0.298 \| good	4.116 \| good	0.126 \| good
2025-10-28T02:00:00.000Z	30 \| good	4.395 \| good	18.877 \| good	31.889 \| good	0.32 \| good	3.675 \| good	0.122 \| good
2025-10-28T03:00:00.000Z	25 \| good	3.809 \| good	16.911 \| good	27.205 \| good	0.343 \| good	3.233 \| good	0.118 \| good
2025-10-28T04:00:00.000Z	27 \| good	4.769 \| good	20.9 \| good	17.946 \| good	0.406 \| good	3.582 \| good	0.121 \| good
2025-10-28T05:00:00.000Z	22 \| good	4.294 \| good	18.952 \| good	17.81 \| good	0.469 \| good	3.931 \| good	0.125 \| good
2025-10-28T06:00:00.000Z	28 \| good	3.188 \| good	3.639 \| good	29.564 \| good	0.536 \| good	4.329 \| good	0.128 \| good
2025-10-28T07:00:00.000Z	16 \| good	2.935 \| good	12.15 \| good	10.583 \| good	0.561 \| good	4.337 \| good	0.129 \| good

Real-time air quality index in South Daytona, Florida today

Common air pollutants in South Daytona, Florida

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Daytona, Florida air quality forecast and history

Empower business decisions with accurate air quality data

South Daytona, Florida air quality map: Real-time AQI near you

Air quality in nearby cities

Port Orange, Florida

Daytona Beach, Florida

Holly Hill, Florida

Ormond Beach, Florida

New Smyrna Beach, Florida

Edgewater, Florida

How accurate is Florida, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for South Daytona, Florida updated?

When did South Daytona, Florida experience the worst air quality in the last 24 hours?

When did South Daytona, Florida have its best air quality in the last 24 hours?

What is the real-time air quality index for South Daytona, Florida?

Which pollutant is found most often in South Daytona, Florida?

What can I do if the air quality in South Daytona, Florida is poor?

What are the current PM2.5 levels in South Daytona, Florida?

What are the current PM10 levels at South Daytona, Florida?

What are the current carbon monoxide (CO) levels at South Daytona, Florida?

What are the current sulfur dioxide (SO2) levels at South Daytona, Florida?

What are the current ozone (O3) levels at South Daytona, Florida?

What are the current nitrogen dioxide (NO2) levels at South Daytona, Florida?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in South Daytona, Florida?

What are the current PM₁₀ levels at South Daytona, Florida?

What are the current sulfur dioxide (SO₂) levels at South Daytona, Florida?

What are the current ozone (O₃) levels at South Daytona, Florida?

What are the current nitrogen dioxide (NO₂) levels at South Daytona, Florida?