What are the current PM10 levels at New Iberia, Louisiana?

The current PM10 levels in New Iberia, Louisiana are 62.005 μg/m3.

What are the current sulfur dioxide (SO2) levels at New Iberia, Louisiana?

The current sulfur dioxide (SO2) levels in New Iberia, Louisiana are 1.175 ppb.

What are the current ozone (O3) levels at New Iberia, Louisiana?

The current ozone (O3) levels at New Iberia, Louisiana is 30.165 ppm.

What are the current nitrogen dioxide (NO2) levels at New Iberia, Louisiana?

The current nitrogen dioxide (NO2) levels at New Iberia, Louisiana is 2.532 ppb.

Real-time air quality index in New Iberia, Louisiana today

Q: What are the current PM2.5 levels in New Iberia, Louisiana?

The measured PM2.5 levels in New Iberia, Louisiana at present are 14.718 μg/m3.

Stay updated with real-time air quality in New Iberia, Louisiana 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)

Moderate

New Iberia, Louisiana

Last updated: ... (Local time)

Common air pollutants in New Iberia, Louisiana

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

14.27 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

66.19 μg/m³

155

255

425

605+

Ozone (O₃)

27.12 ppb

201

201+

Sulfur Dioxide (SO₂)

1.12 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.18 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.39 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

New Iberia, Louisiana

Get Live Pollen Counts

New Iberia, Louisiana

Scroll To Air Quality Map

Track live New Iberia, Louisiana air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-07T14:00:00.000Z	38 \| good	6.853 \| good	33.457 \| good	10.19 \| good	0.9 \| good	3.137 \| good	0.314 \| good
2026-10-07T15:00:00.000Z	33 \| good	6.432 \| good	30.496 \| good	15.223 \| good	0.981 \| good	2.333 \| good	0.246 \| good
2026-10-07T16:00:00.000Z	33 \| good	5.614 \| good	27.196 \| good	21.188 \| good	0.91 \| good	1.83 \| good	0.202 \| good
2026-10-07T17:00:00.000Z	27 \| good	4.983 \| good	25.933 \| good	25.255 \| good	0.962 \| good	1.522 \| good	0.187 \| good
2026-10-07T18:00:00.000Z	29 \| good	4.987 \| good	25.678 \| good	31.139 \| good	0.969 \| good	1.559 \| good	0.187 \| good
2026-10-07T19:00:00.000Z	36 \| good	4.072 \| good	19.528 \| good	39.004 \| good	0.986 \| good	1.524 \| good	0.186 \| good
2026-10-07T20:00:00.000Z	39 \| good	4.128 \| good	22.777 \| good	41.834 \| good	0.973 \| good	1.376 \| good	0.186 \| good
2026-10-07T21:00:00.000Z	41 \| good	5.089 \| good	21.669 \| good	43.947 \| good	1.372 \| good	1.512 \| good	0.186 \| good
2026-10-07T22:00:00.000Z	41 \| good	5.151 \| good	28.543 \| good	43.778 \| good	1.006 \| good	1.66 \| good	0.186 \| good
2026-10-07T23:00:00.000Z	36 \| good	5.678 \| good	26.443 \| good	39.009 \| good	1.057 \| good	1.96 \| good	0.201 \| good
2026-10-08T00:00:00.000Z	31 \| good	4.829 \| good	27.373 \| good	33.075 \| good	1.001 \| good	3.024 \| good	0.255 \| good
2026-10-08T01:00:00.000Z	44 \| good	7.828 \| good	33.678 \| good	28.936 \| good	1.054 \| good	4.136 \| good	0.27 \| good
2026-10-08T02:00:00.000Z	54 \| moderate	10.528 \| good	36.218 \| good	22.808 \| good	1.52 \| good	6.346 \| good	0.284 \| good
2026-10-08T03:00:00.000Z	33 \| good	6.433 \| good	28.394 \| good	14.234 \| good	0.631 \| good	4.3 \| good	0.15 \| good
2026-10-08T04:00:00.000Z	44 \| good	8.418 \| good	43.683 \| good	11.105 \| good	1.181 \| good	6.444 \| good	0.27 \| good
2026-10-08T05:00:00.000Z	44 \| good	8.116 \| good	40.596 \| good	8.29 \| good	1.256 \| good	4.211 \| good	0.201 \| good
2026-10-08T06:00:00.000Z	44 \| good	7.864 \| good	31.076 \| good	5.29 \| good	1.272 \| good	4.014 \| good	0.24 \| good
2026-10-08T07:00:00.000Z	44 \| good	7.683 \| good	33.847 \| good	3.488 \| good	1.304 \| good	3.481 \| good	0.225 \| good
2026-10-08T08:00:00.000Z	49 \| good	9.338 \| good	44.85 \| good	3.488 \| good	1.311 \| good	3.684 \| good	0.302 \| good
2026-10-08T09:00:00.000Z	52 \| moderate	9.882 \| good	48.144 \| good	8.317 \| good	1.188 \| good	3.659 \| good	0.279 \| good
2026-10-08T10:00:00.000Z	52 \| moderate	10.156 \| good	44.552 \| good	8.216 \| good	1.058 \| good	4.791 \| good	0.308 \| good
2026-10-08T11:00:00.000Z	52 \| moderate	10.369 \| good	54.296 \| good	8.171 \| good	1.099 \| good	6.675 \| good	0.308 \| good
2026-10-08T12:00:00.000Z	54 \| moderate	10.607 \| good	38.464 \| good	8.286 \| good	1.034 \| good	6.123 \| good	0.3 \| good
2026-10-08T13:00:00.000Z	54 \| moderate	11.169 \| good	36.363 \| good	10.328 \| good	1.065 \| good	6.549 \| good	0.315 \| good
2026-10-08T14:00:00.000Z	54 \| moderate	10.823 \| good	38.323 \| good	16.245 \| good	1.16 \| good	4.558 \| good	0.408 \| good
2026-10-08T15:00:00.000Z	52 \| moderate	9.754 \| good	48.84 \| good	21.234 \| good	1.157 \| good	3.993 \| good	0.42 \| good
2026-10-08T16:00:00.000Z	49 \| good	9.102 \| good	39.305 \| good	27.117 \| good	1.105 \| good	2.802 \| good	0.288 \| good
2026-10-08T17:00:00.000Z	44 \| good	8.486 \| good	36.091 \| good	34.984 \| good	1.117 \| good	2.101 \| good	0.259 \| good
2026-10-08T18:00:00.000Z	44 \| good	7.646 \| good	34.516 \| good	40.859 \| good	1.071 \| good	1.817 \| good	0.28 \| good
2026-10-08T19:00:00.000Z	44 \| good	7.542 \| good	46.52 \| good	44.836 \| good	1.026 \| good	1.634 \| good	0.241 \| good
2026-10-08T20:00:00.000Z	49 \| good	8.788 \| good	40.995 \| good	45.816 \| good	1.215 \| good	1.745 \| good	0.187 \| good
2026-10-08T21:00:00.000Z	43 \| good	7.431 \| good	34.492 \| good	45.944 \| good	1.171 \| good	1.856 \| good	0.234 \| good
2026-10-08T22:00:00.000Z	43 \| good	7.459 \| good	35.423 \| good	45.887 \| good	1.208 \| good	2.073 \| good	0.248 \| good
2026-10-08T23:00:00.000Z	42 \| good	7.338 \| good	30.039 \| good	44.933 \| good	1.183 \| good	2.253 \| good	0.232 \| good
2026-10-09T00:00:00.000Z	39 \| good	7.266 \| good	37.767 \| good	42.001 \| good	1.193 \| good	2.916 \| good	0.285 \| good
2026-10-09T01:00:00.000Z	44 \| good	7.846 \| good	31.686 \| good	38.934 \| good	1.19 \| good	4.462 \| good	0.332 \| good
2026-10-09T02:00:00.000Z	44 \| good	8.296 \| good	26.542 \| good	34.955 \| good	1.292 \| good	4.382 \| good	0.333 \| good
2026-10-09T03:00:00.000Z	33 \| good	6.352 \| good	28.134 \| good	8.09 \| good	0.653 \| good	3.337 \| good	0.158 \| good
2026-10-09T04:00:00.000Z	52 \| moderate	10.22 \| good	38.015 \| good	34.857 \| good	1.26 \| good	3.065 \| good	0.345 \| good
2026-10-09T05:00:00.000Z	54 \| moderate	10.8 \| good	42.754 \| good	32.03 \| good	1.123 \| good	3.036 \| good	0.301 \| good
2026-10-09T06:00:00.000Z	56 \| moderate	11.872 \| good	53.021 \| good	31.106 \| good	1.134 \| good	2.407 \| good	0.362 \| good
2026-10-09T07:00:00.000Z	60 \| moderate	13.835 \| fine	65.208 \| fine	32.013 \| good	1.238 \| good	2.476 \| good	0.362 \| good
2026-10-09T08:00:00.000Z	62 \| moderate	14.718 \| fine	62.005 \| fine	30.165 \| good	1.175 \| good	2.532 \| good	0.309 \| good
2026-10-09T09:00:00.000Z	62 \| moderate	14.537 \| fine	59.191 \| fine	25.375 \| good	1.054 \| good	2.717 \| good	0.339 \| good
2026-10-09T10:00:00.000Z	60 \| moderate	14.078 \| fine	47.03 \| good	24.359 \| good	0.995 \| good	3.544 \| good	0.338 \| good
2026-10-09T11:00:00.000Z	60 \| moderate	13.706 \| fine	52.267 \| good	27.218 \| good	1.05 \| good	3.511 \| good	0.353 \| good
2026-10-09T12:00:00.000Z	60 \| moderate	14.272 \| fine	66.192 \| fine	27.118 \| good	1.12 \| good	4.176 \| good	0.386 \| good
2026-10-09T13:00:00.000Z	60 \| moderate	14.272 \| fine	66.192 \| fine	27.118 \| good	1.12 \| good	4.176 \| good	0.386 \| good
2026-10-09T10:00:00.000Z	49 \| good	9.445 \| good	42.155 \| good	5.599 \| good	0.654 \| good	2.145 \| good	0.155 \| good
2026-10-09T11:00:00.000Z	52 \| moderate	9.778 \| good	43.34 \| good	2.665 \| good	0.664 \| good	2.222 \| good	0.154 \| good
2026-10-09T12:00:00.000Z	52 \| moderate	10.176 \| good	45.104 \| good	3.035 \| good	0.676 \| good	2.336 \| good	0.153 \| good
2026-10-09T13:00:00.000Z	52 \| moderate	9.662 \| good	43.181 \| good	7.694 \| good	0.668 \| good	2.233 \| good	0.153 \| good
2026-10-09T14:00:00.000Z	44 \| good	7.73 \| good	33.933 \| good	20.011 \| good	0.653 \| good	1.851 \| good	0.156 \| good
2026-10-09T15:00:00.000Z	33 \| good	6.317 \| good	28 \| good	30.734 \| good	0.65 \| good	1.285 \| good	0.152 \| good
2026-10-09T16:00:00.000Z	31 \| good	5.224 \| good	22.545 \| good	33.965 \| good	0.588 \| good	0.909 \| good	0.144 \| good
2026-10-09T17:00:00.000Z	33 \| good	4.34 \| good	19.103 \| good	35.717 \| good	0.491 \| good	0.7 \| good	0.132 \| good
2026-10-09T18:00:00.000Z	36 \| good	3.665 \| good	16.141 \| good	39.339 \| good	0.419 \| good	0.594 \| good	0.123 \| good
2026-10-09T19:00:00.000Z	38 \| good	3.344 \| good	14.892 \| good	41.371 \| good	0.372 \| good	0.545 \| good	0.12 \| good
2026-10-09T20:00:00.000Z	39 \| good	4.91 \| good	21.141 \| good	42.253 \| good	0.334 \| good	0.534 \| good	0.119 \| good
2026-10-09T21:00:00.000Z	37 \| good	4.036 \| good	17.841 \| good	40.453 \| good	0.304 \| good	0.552 \| good	0.119 \| good
2026-10-09T22:00:00.000Z	36 \| good	3.679 \| good	16.163 \| good	39.296 \| good	0.286 \| good	0.637 \| good	0.118 \| good
2026-10-09T23:00:00.000Z	31 \| good	3.276 \| good	14.169 \| good	33.706 \| good	0.282 \| good	0.89 \| good	0.118 \| good
2026-10-10T00:00:00.000Z	31 \| good	2.954 \| good	12.452 \| good	32.836 \| good	0.303 \| good	1.239 \| good	0.119 \| good
2026-10-10T01:00:00.000Z	31 \| good	2.222 \| good	8.861 \| good	34.455 \| good	0.329 \| good	1.29 \| good	0.119 \| good
2026-10-10T02:00:00.000Z	31 \| good	2.809 \| good	11.832 \| good	33.003 \| good	0.34 \| good	1.236 \| good	0.119 \| good
2026-10-10T03:00:00.000Z	30 \| good	3.137 \| good	13.751 \| good	32.169 \| good	0.332 \| good	1.126 \| good	0.119 \| good
2026-10-10T04:00:00.000Z	31 \| good	3.092 \| good	13.25 \| good	32.628 \| good	0.313 \| good	1.035 \| good	0.117 \| good
2026-10-10T05:00:00.000Z	33 \| good	3.149 \| good	13.737 \| good	35.835 \| good	0.293 \| good	0.975 \| good	0.115 \| good
2026-10-10T06:00:00.000Z	34 \| good	3.165 \| good	13.737 \| good	36.675 \| good	0.27 \| good	0.903 \| good	0.113 \| good
2026-10-10T07:00:00.000Z	36 \| good	3.416 \| good	15.023 \| good	38.717 \| good	0.247 \| good	0.853 \| good	0.112 \| good
2026-10-10T08:00:00.000Z	35 \| good	3.305 \| good	14.498 \| good	37.685 \| good	0.224 \| good	0.826 \| good	0.111 \| good
2026-10-10T09:00:00.000Z	37 \| good	3.596 \| good	16 \| good	39.617 \| good	0.206 \| good	0.821 \| good	0.111 \| good
2026-10-10T10:00:00.000Z	38 \| good	4.018 \| good	17.663 \| good	40.552 \| good	0.194 \| good	0.834 \| good	0.111 \| good
2026-10-10T11:00:00.000Z	40 \| good	3.409 \| good	14.985 \| good	43.476 \| good	0.192 \| good	0.871 \| good	0.112 \| good
2026-10-10T12:00:00.000Z	35 \| good	3.556 \| good	15.892 \| good	38.324 \| good	0.204 \| good	0.964 \| good	0.114 \| good
2026-10-10T13:00:00.000Z	34 \| good	3.707 \| good	16.11 \| good	37.188 \| good	0.223 \| good	1.081 \| good	0.118 \| good
2026-10-10T14:00:00.000Z	42 \| good	3.293 \| good	14.366 \| good	45.066 \| good	0.262 \| good	0.957 \| good	0.123 \| good
2026-10-10T15:00:00.000Z	46 \| good	2.714 \| good	11 \| good	50.288 \| good	0.324 \| good	0.685 \| good	0.129 \| good
2026-10-10T16:00:00.000Z	45 \| good	2.649 \| good	10.965 \| good	48.625 \| good	0.345 \| good	0.541 \| good	0.132 \| good
2026-10-10T17:00:00.000Z	45 \| good	2.846 \| good	12 \| good	49.253 \| good	0.332 \| good	0.474 \| good	0.131 \| good
2026-10-10T18:00:00.000Z	44 \| good	2.889 \| good	12 \| good	47.911 \| good	0.309 \| good	0.437 \| good	0.129 \| good
2026-10-10T19:00:00.000Z	40 \| good	3.345 \| good	14.933 \| good	43.121 \| good	0.27 \| good	0.391 \| good	0.123 \| good
2026-10-10T20:00:00.000Z	39 \| good	6.066 \| good	26.986 \| good	42.089 \| good	0.231 \| good	0.355 \| good	0.119 \| good
2026-10-10T21:00:00.000Z	37 \| good	4.469 \| good	19.626 \| good	40.18 \| good	0.177 \| good	0.333 \| good	0.113 \| good
2026-10-10T22:00:00.000Z	35 \| good	4.846 \| good	21.038 \| good	38.328 \| good	0.151 \| good	0.373 \| good	0.11 \| good
2026-10-10T23:00:00.000Z	33 \| good	6.056 \| good	26.903 \| good	33.754 \| good	0.159 \| good	0.763 \| good	0.115 \| good
2026-10-11T00:00:00.000Z	38 \| good	6.556 \| good	28.817 \| good	27.162 \| good	0.176 \| good	1.655 \| good	0.125 \| good
2026-10-11T01:00:00.000Z	44 \| good	7.898 \| good	34.798 \| good	26.576 \| good	0.201 \| good	2.257 \| good	0.131 \| good
2026-10-11T02:00:00.000Z	44 \| good	7.616 \| good	33.499 \| good	23.133 \| good	0.229 \| good	2.773 \| good	0.137 \| good
2026-10-11T03:00:00.000Z	38 \| good	7.338 \| good	32.448 \| good	17.554 \| good	0.258 \| good	3.276 \| good	0.144 \| good
2026-10-11T04:00:00.000Z	44 \| good	7.602 \| good	33.54 \| good	12.211 \| good	0.285 \| good	3.594 \| good	0.151 \| good
2026-10-11T05:00:00.000Z	44 \| good	7.692 \| good	33.803 \| good	4.057 \| good	0.322 \| good	3.632 \| good	0.156 \| good
2026-10-11T06:00:00.000Z	49 \| good	8.745 \| good	38.331 \| good	4.159 \| good	0.348 \| good	3.186 \| good	0.156 \| good
2026-10-11T07:00:00.000Z	52 \| moderate	9.622 \| good	42.794 \| good	4.127 \| good	0.369 \| good	2.679 \| good	0.153 \| good
2026-10-11T08:00:00.000Z	49 \| good	8.522 \| good	37.254 \| good	3.511 \| good	0.381 \| good	2.384 \| good	0.15 \| good
2026-10-11T09:00:00.000Z	44 \| good	7.877 \| good	34.78 \| good	4.482 \| good	0.377 \| good	2.226 \| good	0.148 \| good

New Iberia

Empower business decisions with accurate air quality data

New Iberia, Louisiana air quality map: Real-time AQI near you

0.33ppm

How accurate is Louisiana, USA air quality data?

Air quality measurements for Louisiana, 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 New Iberia, Louisiana updated?

Air quality data for New Iberia, Louisiana is updated on an hourly basis.

When did New Iberia, Louisiana experience the worst air quality in the last 24 hours?

The worst air quality in New Iberia, Louisiana was recorded at 08:00:00 on 2026-10-09.

When did New Iberia, Louisiana have its best air quality in the last 24 hours?

The best air quality in New Iberia, Louisiana was recorded at 03:00:00 on 2026-10-09.

What is the real-time air quality index for New Iberia, Louisiana?

The real-time air quality index in New Iberia, Louisiana is 62, currently categorized as Moderate.

Which pollutant is found most often in New Iberia, Louisiana?

The most common pollutant in New Iberia, Louisiana is PM2.5.

What can I do if the air quality in New Iberia, Louisiana is poor?

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

What are the current PM_2.5 levels in New Iberia, Louisiana?

The measured PM_2.5 levels in New Iberia, Louisiana at present are 14.718 μg/m³.

What are the current PM₁₀ levels at New Iberia, Louisiana?

The current PM₁₀ levels in New Iberia, Louisiana are 62.005 μg/m³.

What are the current carbon monoxide (CO) levels at New Iberia, Louisiana?

The current carbon monoxide (CO) level in New Iberia, Louisiana is 0.309 ppm.

What are the current sulfur dioxide (SO₂) levels at New Iberia, Louisiana?

The current sulfur dioxide (SO₂) levels in New Iberia, Louisiana are 1.175 ppb.

What are the current ozone (O₃) levels at New Iberia, Louisiana?

The current ozone (O₃) levels at New Iberia, Louisiana is 30.165 ppm.

What are the current nitrogen dioxide (NO₂) levels at New Iberia, Louisiana?

The current nitrogen dioxide (NO₂) levels at New Iberia, Louisiana is 2.532 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-07T14:00:00.000Z	38 \| good	6.853 \| good	33.457 \| good	10.19 \| good	0.9 \| good	3.137 \| good	0.314 \| good
2026-10-07T15:00:00.000Z	33 \| good	6.432 \| good	30.496 \| good	15.223 \| good	0.981 \| good	2.333 \| good	0.246 \| good
2026-10-07T16:00:00.000Z	33 \| good	5.614 \| good	27.196 \| good	21.188 \| good	0.91 \| good	1.83 \| good	0.202 \| good
2026-10-07T17:00:00.000Z	27 \| good	4.983 \| good	25.933 \| good	25.255 \| good	0.962 \| good	1.522 \| good	0.187 \| good
2026-10-07T18:00:00.000Z	29 \| good	4.987 \| good	25.678 \| good	31.139 \| good	0.969 \| good	1.559 \| good	0.187 \| good
2026-10-07T19:00:00.000Z	36 \| good	4.072 \| good	19.528 \| good	39.004 \| good	0.986 \| good	1.524 \| good	0.186 \| good
2026-10-07T20:00:00.000Z	39 \| good	4.128 \| good	22.777 \| good	41.834 \| good	0.973 \| good	1.376 \| good	0.186 \| good
2026-10-07T21:00:00.000Z	41 \| good	5.089 \| good	21.669 \| good	43.947 \| good	1.372 \| good	1.512 \| good	0.186 \| good
2026-10-07T22:00:00.000Z	41 \| good	5.151 \| good	28.543 \| good	43.778 \| good	1.006 \| good	1.66 \| good	0.186 \| good
2026-10-07T23:00:00.000Z	36 \| good	5.678 \| good	26.443 \| good	39.009 \| good	1.057 \| good	1.96 \| good	0.201 \| good
2026-10-08T00:00:00.000Z	31 \| good	4.829 \| good	27.373 \| good	33.075 \| good	1.001 \| good	3.024 \| good	0.255 \| good
2026-10-08T01:00:00.000Z	44 \| good	7.828 \| good	33.678 \| good	28.936 \| good	1.054 \| good	4.136 \| good	0.27 \| good
2026-10-08T02:00:00.000Z	54 \| moderate	10.528 \| good	36.218 \| good	22.808 \| good	1.52 \| good	6.346 \| good	0.284 \| good
2026-10-08T03:00:00.000Z	33 \| good	6.433 \| good	28.394 \| good	14.234 \| good	0.631 \| good	4.3 \| good	0.15 \| good
2026-10-08T04:00:00.000Z	44 \| good	8.418 \| good	43.683 \| good	11.105 \| good	1.181 \| good	6.444 \| good	0.27 \| good
2026-10-08T05:00:00.000Z	44 \| good	8.116 \| good	40.596 \| good	8.29 \| good	1.256 \| good	4.211 \| good	0.201 \| good
2026-10-08T06:00:00.000Z	44 \| good	7.864 \| good	31.076 \| good	5.29 \| good	1.272 \| good	4.014 \| good	0.24 \| good
2026-10-08T07:00:00.000Z	44 \| good	7.683 \| good	33.847 \| good	3.488 \| good	1.304 \| good	3.481 \| good	0.225 \| good
2026-10-08T08:00:00.000Z	49 \| good	9.338 \| good	44.85 \| good	3.488 \| good	1.311 \| good	3.684 \| good	0.302 \| good
2026-10-08T09:00:00.000Z	52 \| moderate	9.882 \| good	48.144 \| good	8.317 \| good	1.188 \| good	3.659 \| good	0.279 \| good
2026-10-08T10:00:00.000Z	52 \| moderate	10.156 \| good	44.552 \| good	8.216 \| good	1.058 \| good	4.791 \| good	0.308 \| good
2026-10-08T11:00:00.000Z	52 \| moderate	10.369 \| good	54.296 \| good	8.171 \| good	1.099 \| good	6.675 \| good	0.308 \| good
2026-10-08T12:00:00.000Z	54 \| moderate	10.607 \| good	38.464 \| good	8.286 \| good	1.034 \| good	6.123 \| good	0.3 \| good
2026-10-08T13:00:00.000Z	54 \| moderate	11.169 \| good	36.363 \| good	10.328 \| good	1.065 \| good	6.549 \| good	0.315 \| good
2026-10-08T14:00:00.000Z	54 \| moderate	10.823 \| good	38.323 \| good	16.245 \| good	1.16 \| good	4.558 \| good	0.408 \| good
2026-10-08T15:00:00.000Z	52 \| moderate	9.754 \| good	48.84 \| good	21.234 \| good	1.157 \| good	3.993 \| good	0.42 \| good
2026-10-08T16:00:00.000Z	49 \| good	9.102 \| good	39.305 \| good	27.117 \| good	1.105 \| good	2.802 \| good	0.288 \| good
2026-10-08T17:00:00.000Z	44 \| good	8.486 \| good	36.091 \| good	34.984 \| good	1.117 \| good	2.101 \| good	0.259 \| good
2026-10-08T18:00:00.000Z	44 \| good	7.646 \| good	34.516 \| good	40.859 \| good	1.071 \| good	1.817 \| good	0.28 \| good
2026-10-08T19:00:00.000Z	44 \| good	7.542 \| good	46.52 \| good	44.836 \| good	1.026 \| good	1.634 \| good	0.241 \| good
2026-10-08T20:00:00.000Z	49 \| good	8.788 \| good	40.995 \| good	45.816 \| good	1.215 \| good	1.745 \| good	0.187 \| good
2026-10-08T21:00:00.000Z	43 \| good	7.431 \| good	34.492 \| good	45.944 \| good	1.171 \| good	1.856 \| good	0.234 \| good
2026-10-08T22:00:00.000Z	43 \| good	7.459 \| good	35.423 \| good	45.887 \| good	1.208 \| good	2.073 \| good	0.248 \| good
2026-10-08T23:00:00.000Z	42 \| good	7.338 \| good	30.039 \| good	44.933 \| good	1.183 \| good	2.253 \| good	0.232 \| good
2026-10-09T00:00:00.000Z	39 \| good	7.266 \| good	37.767 \| good	42.001 \| good	1.193 \| good	2.916 \| good	0.285 \| good
2026-10-09T01:00:00.000Z	44 \| good	7.846 \| good	31.686 \| good	38.934 \| good	1.19 \| good	4.462 \| good	0.332 \| good
2026-10-09T02:00:00.000Z	44 \| good	8.296 \| good	26.542 \| good	34.955 \| good	1.292 \| good	4.382 \| good	0.333 \| good
2026-10-09T03:00:00.000Z	33 \| good	6.352 \| good	28.134 \| good	8.09 \| good	0.653 \| good	3.337 \| good	0.158 \| good
2026-10-09T04:00:00.000Z	52 \| moderate	10.22 \| good	38.015 \| good	34.857 \| good	1.26 \| good	3.065 \| good	0.345 \| good
2026-10-09T05:00:00.000Z	54 \| moderate	10.8 \| good	42.754 \| good	32.03 \| good	1.123 \| good	3.036 \| good	0.301 \| good
2026-10-09T06:00:00.000Z	56 \| moderate	11.872 \| good	53.021 \| good	31.106 \| good	1.134 \| good	2.407 \| good	0.362 \| good
2026-10-09T07:00:00.000Z	60 \| moderate	13.835 \| fine	65.208 \| fine	32.013 \| good	1.238 \| good	2.476 \| good	0.362 \| good
2026-10-09T08:00:00.000Z	62 \| moderate	14.718 \| fine	62.005 \| fine	30.165 \| good	1.175 \| good	2.532 \| good	0.309 \| good
2026-10-09T09:00:00.000Z	62 \| moderate	14.537 \| fine	59.191 \| fine	25.375 \| good	1.054 \| good	2.717 \| good	0.339 \| good
2026-10-09T10:00:00.000Z	60 \| moderate	14.078 \| fine	47.03 \| good	24.359 \| good	0.995 \| good	3.544 \| good	0.338 \| good
2026-10-09T11:00:00.000Z	60 \| moderate	13.706 \| fine	52.267 \| good	27.218 \| good	1.05 \| good	3.511 \| good	0.353 \| good
2026-10-09T12:00:00.000Z	60 \| moderate	14.272 \| fine	66.192 \| fine	27.118 \| good	1.12 \| good	4.176 \| good	0.386 \| good
2026-10-09T13:00:00.000Z	60 \| moderate	14.272 \| fine	66.192 \| fine	27.118 \| good	1.12 \| good	4.176 \| good	0.386 \| good
2026-10-09T10:00:00.000Z	49 \| good	9.445 \| good	42.155 \| good	5.599 \| good	0.654 \| good	2.145 \| good	0.155 \| good
2026-10-09T11:00:00.000Z	52 \| moderate	9.778 \| good	43.34 \| good	2.665 \| good	0.664 \| good	2.222 \| good	0.154 \| good
2026-10-09T12:00:00.000Z	52 \| moderate	10.176 \| good	45.104 \| good	3.035 \| good	0.676 \| good	2.336 \| good	0.153 \| good
2026-10-09T13:00:00.000Z	52 \| moderate	9.662 \| good	43.181 \| good	7.694 \| good	0.668 \| good	2.233 \| good	0.153 \| good
2026-10-09T14:00:00.000Z	44 \| good	7.73 \| good	33.933 \| good	20.011 \| good	0.653 \| good	1.851 \| good	0.156 \| good
2026-10-09T15:00:00.000Z	33 \| good	6.317 \| good	28 \| good	30.734 \| good	0.65 \| good	1.285 \| good	0.152 \| good
2026-10-09T16:00:00.000Z	31 \| good	5.224 \| good	22.545 \| good	33.965 \| good	0.588 \| good	0.909 \| good	0.144 \| good
2026-10-09T17:00:00.000Z	33 \| good	4.34 \| good	19.103 \| good	35.717 \| good	0.491 \| good	0.7 \| good	0.132 \| good
2026-10-09T18:00:00.000Z	36 \| good	3.665 \| good	16.141 \| good	39.339 \| good	0.419 \| good	0.594 \| good	0.123 \| good
2026-10-09T19:00:00.000Z	38 \| good	3.344 \| good	14.892 \| good	41.371 \| good	0.372 \| good	0.545 \| good	0.12 \| good
2026-10-09T20:00:00.000Z	39 \| good	4.91 \| good	21.141 \| good	42.253 \| good	0.334 \| good	0.534 \| good	0.119 \| good
2026-10-09T21:00:00.000Z	37 \| good	4.036 \| good	17.841 \| good	40.453 \| good	0.304 \| good	0.552 \| good	0.119 \| good
2026-10-09T22:00:00.000Z	36 \| good	3.679 \| good	16.163 \| good	39.296 \| good	0.286 \| good	0.637 \| good	0.118 \| good
2026-10-09T23:00:00.000Z	31 \| good	3.276 \| good	14.169 \| good	33.706 \| good	0.282 \| good	0.89 \| good	0.118 \| good
2026-10-10T00:00:00.000Z	31 \| good	2.954 \| good	12.452 \| good	32.836 \| good	0.303 \| good	1.239 \| good	0.119 \| good
2026-10-10T01:00:00.000Z	31 \| good	2.222 \| good	8.861 \| good	34.455 \| good	0.329 \| good	1.29 \| good	0.119 \| good
2026-10-10T02:00:00.000Z	31 \| good	2.809 \| good	11.832 \| good	33.003 \| good	0.34 \| good	1.236 \| good	0.119 \| good
2026-10-10T03:00:00.000Z	30 \| good	3.137 \| good	13.751 \| good	32.169 \| good	0.332 \| good	1.126 \| good	0.119 \| good
2026-10-10T04:00:00.000Z	31 \| good	3.092 \| good	13.25 \| good	32.628 \| good	0.313 \| good	1.035 \| good	0.117 \| good
2026-10-10T05:00:00.000Z	33 \| good	3.149 \| good	13.737 \| good	35.835 \| good	0.293 \| good	0.975 \| good	0.115 \| good
2026-10-10T06:00:00.000Z	34 \| good	3.165 \| good	13.737 \| good	36.675 \| good	0.27 \| good	0.903 \| good	0.113 \| good
2026-10-10T07:00:00.000Z	36 \| good	3.416 \| good	15.023 \| good	38.717 \| good	0.247 \| good	0.853 \| good	0.112 \| good
2026-10-10T08:00:00.000Z	35 \| good	3.305 \| good	14.498 \| good	37.685 \| good	0.224 \| good	0.826 \| good	0.111 \| good
2026-10-10T09:00:00.000Z	37 \| good	3.596 \| good	16 \| good	39.617 \| good	0.206 \| good	0.821 \| good	0.111 \| good
2026-10-10T10:00:00.000Z	38 \| good	4.018 \| good	17.663 \| good	40.552 \| good	0.194 \| good	0.834 \| good	0.111 \| good
2026-10-10T11:00:00.000Z	40 \| good	3.409 \| good	14.985 \| good	43.476 \| good	0.192 \| good	0.871 \| good	0.112 \| good
2026-10-10T12:00:00.000Z	35 \| good	3.556 \| good	15.892 \| good	38.324 \| good	0.204 \| good	0.964 \| good	0.114 \| good
2026-10-10T13:00:00.000Z	34 \| good	3.707 \| good	16.11 \| good	37.188 \| good	0.223 \| good	1.081 \| good	0.118 \| good
2026-10-10T14:00:00.000Z	42 \| good	3.293 \| good	14.366 \| good	45.066 \| good	0.262 \| good	0.957 \| good	0.123 \| good
2026-10-10T15:00:00.000Z	46 \| good	2.714 \| good	11 \| good	50.288 \| good	0.324 \| good	0.685 \| good	0.129 \| good
2026-10-10T16:00:00.000Z	45 \| good	2.649 \| good	10.965 \| good	48.625 \| good	0.345 \| good	0.541 \| good	0.132 \| good
2026-10-10T17:00:00.000Z	45 \| good	2.846 \| good	12 \| good	49.253 \| good	0.332 \| good	0.474 \| good	0.131 \| good
2026-10-10T18:00:00.000Z	44 \| good	2.889 \| good	12 \| good	47.911 \| good	0.309 \| good	0.437 \| good	0.129 \| good
2026-10-10T19:00:00.000Z	40 \| good	3.345 \| good	14.933 \| good	43.121 \| good	0.27 \| good	0.391 \| good	0.123 \| good
2026-10-10T20:00:00.000Z	39 \| good	6.066 \| good	26.986 \| good	42.089 \| good	0.231 \| good	0.355 \| good	0.119 \| good
2026-10-10T21:00:00.000Z	37 \| good	4.469 \| good	19.626 \| good	40.18 \| good	0.177 \| good	0.333 \| good	0.113 \| good
2026-10-10T22:00:00.000Z	35 \| good	4.846 \| good	21.038 \| good	38.328 \| good	0.151 \| good	0.373 \| good	0.11 \| good
2026-10-10T23:00:00.000Z	33 \| good	6.056 \| good	26.903 \| good	33.754 \| good	0.159 \| good	0.763 \| good	0.115 \| good
2026-10-11T00:00:00.000Z	38 \| good	6.556 \| good	28.817 \| good	27.162 \| good	0.176 \| good	1.655 \| good	0.125 \| good
2026-10-11T01:00:00.000Z	44 \| good	7.898 \| good	34.798 \| good	26.576 \| good	0.201 \| good	2.257 \| good	0.131 \| good
2026-10-11T02:00:00.000Z	44 \| good	7.616 \| good	33.499 \| good	23.133 \| good	0.229 \| good	2.773 \| good	0.137 \| good
2026-10-11T03:00:00.000Z	38 \| good	7.338 \| good	32.448 \| good	17.554 \| good	0.258 \| good	3.276 \| good	0.144 \| good
2026-10-11T04:00:00.000Z	44 \| good	7.602 \| good	33.54 \| good	12.211 \| good	0.285 \| good	3.594 \| good	0.151 \| good
2026-10-11T05:00:00.000Z	44 \| good	7.692 \| good	33.803 \| good	4.057 \| good	0.322 \| good	3.632 \| good	0.156 \| good
2026-10-11T06:00:00.000Z	49 \| good	8.745 \| good	38.331 \| good	4.159 \| good	0.348 \| good	3.186 \| good	0.156 \| good
2026-10-11T07:00:00.000Z	52 \| moderate	9.622 \| good	42.794 \| good	4.127 \| good	0.369 \| good	2.679 \| good	0.153 \| good
2026-10-11T08:00:00.000Z	49 \| good	8.522 \| good	37.254 \| good	3.511 \| good	0.381 \| good	2.384 \| good	0.15 \| good
2026-10-11T09:00:00.000Z	44 \| good	7.877 \| good	34.78 \| good	4.482 \| good	0.377 \| good	2.226 \| good	0.148 \| good

Real-time air quality index in New Iberia, Louisiana today

Common air pollutants in New Iberia, Louisiana

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live New Iberia, Louisiana air quality forecast and history

Empower business decisions with accurate air quality data

New Iberia, Louisiana air quality map: Real-time AQI near you

Air quality in nearby cities

Youngsville, Louisiana

Broussard, Louisiana

Abbeville, Louisiana

Lafayette, Louisiana

Carencro, Louisiana

Crowley, Louisiana

How accurate is Louisiana, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for New Iberia, Louisiana updated?

When did New Iberia, Louisiana experience the worst air quality in the last 24 hours?

When did New Iberia, Louisiana have its best air quality in the last 24 hours?

What is the real-time air quality index for New Iberia, Louisiana?

Which pollutant is found most often in New Iberia, Louisiana?

What can I do if the air quality in New Iberia, Louisiana is poor?

What are the current PM2.5 levels in New Iberia, Louisiana?

What are the current PM10 levels at New Iberia, Louisiana?

What are the current carbon monoxide (CO) levels at New Iberia, Louisiana?

What are the current sulfur dioxide (SO2) levels at New Iberia, Louisiana?

What are the current ozone (O3) levels at New Iberia, Louisiana?

What are the current nitrogen dioxide (NO2) levels at New Iberia, Louisiana?

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 New Iberia, Louisiana?

What are the current PM₁₀ levels at New Iberia, Louisiana?

What are the current sulfur dioxide (SO₂) levels at New Iberia, Louisiana?

What are the current ozone (O₃) levels at New Iberia, Louisiana?

What are the current nitrogen dioxide (NO₂) levels at New Iberia, Louisiana?