What are the current PM10 levels at Ephrata Township, Pennsylvania?

The current PM10 levels in Ephrata Township, Pennsylvania are 13.709 μg/m3.

What are the current sulfur dioxide (SO2) levels at Ephrata Township, Pennsylvania?

The current sulfur dioxide (SO2) levels in Ephrata Township, Pennsylvania are 0.209 ppb.

What are the current ozone (O3) levels at Ephrata Township, Pennsylvania?

The current ozone (O3) levels at Ephrata Township, Pennsylvania is 28.648 ppm.

What are the current nitrogen dioxide (NO2) levels at Ephrata Township, Pennsylvania?

The current nitrogen dioxide (NO2) levels at Ephrata Township, Pennsylvania is 4.81 ppb.

Real-time air quality index in Ephrata Township, Pennsylvania today

Q: What are the current PM2.5 levels in Ephrata Township, Pennsylvania?

The measured PM2.5 levels in Ephrata Township, Pennsylvania at present are 2.801 μg/m3.

Stay updated with real-time air quality in Ephrata Township, Pennsylvania 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

Ephrata Township, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Ephrata Township, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.80 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.71 μg/m³

155

255

425

605+

Ozone (O₃)

28.65 ppb

201

201+

Sulfur Dioxide (SO₂)

0.21 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.81 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Ephrata Township, Pennsylvania

Get Live Pollen Counts

Ephrata Township, Pennsylvania

Scroll To Air Quality Map

Track live Ephrata Township, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T18:00:00.000Z	28 \| good	3.205 \| good	15.963 \| good	29.61 \| good	0.213 \| good	4.014 \| good	0.167 \| good
2025-10-20T19:00:00.000Z	27 \| good	3.41 \| good	16.599 \| good	28.747 \| good	0.2 \| good	2.957 \| good	0.167 \| good
2025-10-20T20:00:00.000Z	28 \| good	2.858 \| good	11.903 \| good	30.408 \| good	0.257 \| good	2.91 \| good	0.167 \| good
2025-10-20T21:00:00.000Z	28 \| good	2.832 \| good	13.279 \| good	30.341 \| good	0.198 \| good	3.02 \| good	0.167 \| good
2025-10-20T22:00:00.000Z	27 \| good	2.806 \| good	11.606 \| good	29.037 \| good	0.22 \| good	2.099 \| good	0.167 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.823 \| good	7.912 \| good	28.586 \| good	0.196 \| good	2.37 \| good	0.182 \| good
2025-10-21T00:00:00.000Z	27 \| good	3.106 \| good	11.698 \| good	28.537 \| good	0.181 \| good	3.27 \| good	0.201 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.778 \| good	13.721 \| good	24.131 \| good	0.202 \| good	4.885 \| good	0.218 \| good
2025-10-21T02:00:00.000Z	22 \| good	3.761 \| good	15.511 \| good	23.186 \| good	0.203 \| good	6.116 \| good	0.307 \| good
2025-10-21T03:00:00.000Z	49 \| good	8.703 \| good	38.131 \| good	12.534 \| good	2.201 \| good	5.453 \| good	0.153 \| good
2025-10-21T04:00:00.000Z	27 \| good	5.125 \| good	22.478 \| good	18.663 \| good	0.222 \| good	7.486 \| good	0.263 \| good
2025-10-21T05:00:00.000Z	33 \| good	5.608 \| good	25.437 \| good	11.236 \| good	0.226 \| good	8.191 \| good	0.263 \| good
2025-10-21T06:00:00.000Z	38 \| good	6.567 \| good	34.517 \| good	9.407 \| good	0.225 \| good	7.571 \| good	0.231 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.621 \| good	23.861 \| good	10.754 \| good	0.206 \| good	8.553 \| good	0.27 \| good
2025-10-21T08:00:00.000Z	33 \| good	5.954 \| good	26.561 \| good	4.019 \| good	0.268 \| good	7.999 \| good	0.251 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.044 \| good	21.108 \| good	5.549 \| good	0.269 \| good	7.666 \| good	0.261 \| good
2025-10-21T10:00:00.000Z	38 \| good	6.5 \| good	29.695 \| good	6.396 \| good	0.364 \| good	8.145 \| good	0.327 \| good
2025-10-21T11:00:00.000Z	38 \| good	6.608 \| good	19.329 \| good	2.628 \| good	0.453 \| good	9.939 \| good	0.333 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.842 \| good	23.356 \| good	4.89 \| good	0.683 \| good	11.142 \| good	0.412 \| good
2025-10-21T13:00:00.000Z	38 \| good	6.904 \| good	27.043 \| good	5.754 \| good	0.792 \| good	11.108 \| good	0.468 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.752 \| good	32.606 \| good	12.232 \| good	0.836 \| good	11.463 \| good	0.417 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.027 \| good	39.347 \| good	17.719 \| good	1.541 \| good	8.178 \| good	0.316 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.468 \| good	23.86 \| good	26.366 \| good	0.803 \| good	6.595 \| good	0.288 \| good
2025-10-21T17:00:00.000Z	25 \| good	4.396 \| good	19.606 \| good	27.156 \| good	0.399 \| good	7.27 \| good	0.249 \| good
2025-10-21T18:00:00.000Z	30 \| good	4.234 \| good	18.4 \| good	31.872 \| good	0.221 \| good	7.775 \| good	0.249 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.653 \| good	15.243 \| good	32.594 \| good	0.221 \| good	6.675 \| good	0.225 \| good
2025-10-21T20:00:00.000Z	29 \| good	4.466 \| good	14.81 \| good	30.595 \| good	0.258 \| good	6.396 \| good	0.225 \| good
2025-10-21T21:00:00.000Z	30 \| good	3.925 \| good	14.908 \| good	31.943 \| good	0.275 \| good	6.973 \| good	0.249 \| good
2025-10-21T22:00:00.000Z	35 \| good	4.493 \| good	19.431 \| good	37.68 \| good	0.321 \| good	4.301 \| good	0.249 \| good
2025-10-21T23:00:00.000Z	32 \| good	4.506 \| good	19.545 \| good	35.317 \| good	0.365 \| good	4.642 \| good	0.229 \| good
2025-10-22T00:00:00.000Z	27 \| good	5.287 \| good	22.483 \| good	27.956 \| good	0.279 \| good	9.323 \| good	0.264 \| good
2025-10-22T01:00:00.000Z	33 \| good	6.452 \| good	20.505 \| good	29.164 \| good	0.362 \| good	11.766 \| good	0.248 \| good
2025-10-22T02:00:00.000Z	44 \| good	8.445 \| good	28.598 \| good	26.477 \| good	0.225 \| good	8.952 \| good	0.327 \| good
2025-10-22T03:00:00.000Z	52 \| moderate	10.404 \| good	46.435 \| good	18.058 \| good	2.534 \| good	6.703 \| good	0.197 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.352 \| good	32.221 \| good	26.582 \| good	0.283 \| good	8.971 \| good	0.307 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.24 \| good	27.102 \| good	17.703 \| good	0.258 \| good	11.74 \| good	0.262 \| good
2025-10-22T06:00:00.000Z	52 \| moderate	9.645 \| good	34.447 \| good	19.098 \| good	0.236 \| good	12.295 \| good	0.262 \| good
2025-10-22T07:00:00.000Z	44 \| good	8.175 \| good	36.846 \| good	18.472 \| good	0.233 \| good	10.659 \| good	0.262 \| good
2025-10-22T08:00:00.000Z	49 \| good	9.162 \| good	35.056 \| good	12.707 \| good	0.258 \| good	11.219 \| good	0.155 \| good
2025-10-22T09:00:00.000Z	49 \| good	8.56 \| good	32.942 \| good	15.132 \| good	0.23 \| good	10.098 \| good	0.246 \| good
2025-10-22T10:00:00.000Z	44 \| good	8.436 \| good	33.199 \| good	10.996 \| good	0.215 \| good	10.134 \| good	0.262 \| good
2025-10-22T11:00:00.000Z	49 \| good	8.718 \| good	27.64 \| good	15.734 \| good	0.165 \| good	11.149 \| good	0.205 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	9.502 \| good	46.039 \| good	13.5 \| good	0.21 \| good	10.692 \| good	0.224 \| good
2025-10-22T13:00:00.000Z	33 \| good	6.305 \| good	31.713 \| good	19.08 \| good	0.206 \| good	11.012 \| good	0.244 \| good
2025-10-22T14:00:00.000Z	27 \| good	4.656 \| good	22.421 \| good	22.777 \| good	0.298 \| good	6.961 \| good	0.22 \| good
2025-10-22T15:00:00.000Z	23 \| good	3.779 \| good	16.409 \| good	25.123 \| good	0.299 \| good	5.154 \| good	0.22 \| good
2025-10-22T16:00:00.000Z	25 \| good	3.137 \| good	13.504 \| good	26.572 \| good	0.252 \| good	4.782 \| good	0.212 \| good
2025-10-22T17:00:00.000Z	27 \| good	2.801 \| good	13.709 \| good	28.648 \| good	0.209 \| good	4.81 \| good	0.182 \| good
2025-10-22T17:00:00.000Z	27 \| good	2.801 \| good	13.709 \| good	28.648 \| good	0.209 \| good	4.81 \| good	0.182 \| good
2025-10-22T18:00:00.000Z	30 \| good	3.819 \| good	16.856 \| good	31.931 \| good	1.531 \| good	1.407 \| good	0.133 \| good
2025-10-22T19:00:00.000Z	31 \| good	3.441 \| good	14.987 \| good	32.721 \| good	1.481 \| good	1.58 \| good	0.134 \| good
2025-10-22T20:00:00.000Z	31 \| good	3.369 \| good	14.94 \| good	32.651 \| good	1.43 \| good	1.753 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.864 \| good	16.772 \| good	29.801 \| good	1.38 \| good	1.926 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	27 \| good	5.027 \| good	21.763 \| good	25.109 \| good	1.489 \| good	2.898 \| good	0.144 \| good
2025-10-22T23:00:00.000Z	38 \| good	7.423 \| good	32.741 \| good	19.171 \| good	1.599 \| good	3.871 \| good	0.153 \| good
2025-10-23T00:00:00.000Z	38 \| good	6.978 \| good	30.825 \| good	18.764 \| good	1.709 \| good	4.844 \| good	0.161 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.458 \| good	23.069 \| good	24.91 \| good	1.786 \| good	4.839 \| good	0.161 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.672 \| good	24.747 \| good	25.214 \| good	1.863 \| good	4.833 \| good	0.161 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.775 \| good	24.797 \| good	23.212 \| good	1.94 \| good	4.828 \| good	0.161 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.524 \| good	29.501 \| good	17.981 \| good	2.127 \| good	4.538 \| good	0.159 \| good
2025-10-23T05:00:00.000Z	38 \| good	6.944 \| good	30.625 \| good	14.647 \| good	2.313 \| good	4.247 \| good	0.156 \| good
2025-10-23T06:00:00.000Z	44 \| good	7.577 \| good	33.539 \| good	13.932 \| good	2.5 \| good	3.957 \| good	0.154 \| good
2025-10-23T07:00:00.000Z	38 \| good	7.32 \| good	32.379 \| good	13.341 \| good	2.532 \| good	3.755 \| good	0.152 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.902 \| good	30.462 \| good	11.751 \| good	2.563 \| good	3.553 \| good	0.15 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.613 \| good	29.633 \| good	12.16 \| good	2.595 \| good	3.352 \| good	0.148 \| good
2025-10-23T10:00:00.000Z	38 \| good	7.105 \| good	31.721 \| good	11.294 \| good	2.542 \| good	3.817 \| good	0.152 \| good
2025-10-23T11:00:00.000Z	44 \| good	8.158 \| good	35.725 \| good	11.206 \| good	2.489 \| good	4.282 \| good	0.156 \| good
2025-10-23T12:00:00.000Z	44 \| good	7.502 \| good	32.907 \| good	16.463 \| good	2.436 \| good	4.747 \| good	0.16 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.781 \| good	20.924 \| good	24.527 \| good	2.344 \| good	4.018 \| good	0.154 \| good
2025-10-23T14:00:00.000Z	25 \| good	3.085 \| good	12.248 \| good	26.996 \| good	2.251 \| good	3.289 \| good	0.149 \| good
2025-10-23T15:00:00.000Z	25 \| good	2.387 \| good	9.859 \| good	26.535 \| good	2.159 \| good	2.56 \| good	0.143 \| good
2025-10-23T16:00:00.000Z	25 \| good	2.729 \| good	11.152 \| good	26.702 \| good	1.975 \| good	2.269 \| good	0.14 \| good
2025-10-23T17:00:00.000Z	25 \| good	2.62 \| good	10.802 \| good	27.184 \| good	1.791 \| good	1.978 \| good	0.137 \| good
2025-10-23T18:00:00.000Z	25 \| good	2.217 \| good	9.056 \| good	27.357 \| good	1.607 \| good	1.687 \| good	0.134 \| good
2025-10-23T19:00:00.000Z	24 \| good	2.634 \| good	10.788 \| good	25.82 \| good	1.661 \| good	1.842 \| good	0.135 \| good
2025-10-23T20:00:00.000Z	23 \| good	2.873 \| good	11.76 \| good	25.169 \| good	1.714 \| good	1.997 \| good	0.137 \| good
2025-10-23T21:00:00.000Z	24 \| good	2.778 \| good	11.555 \| good	26.259 \| good	1.768 \| good	2.153 \| good	0.138 \| good
2025-10-23T22:00:00.000Z	22 \| good	3.585 \| good	15.817 \| good	23.399 \| good	1.99 \| good	3.457 \| good	0.152 \| good
2025-10-23T23:00:00.000Z	33 \| good	5.976 \| good	26.449 \| good	17.466 \| good	2.211 \| good	4.761 \| good	0.165 \| good
2025-10-24T00:00:00.000Z	44 \| good	7.852 \| good	34.394 \| good	13.569 \| good	2.433 \| good	6.065 \| good	0.179 \| good
2025-10-24T01:00:00.000Z	49 \| good	8.97 \| good	39.58 \| good	11.959 \| good	2.597 \| good	5.881 \| good	0.178 \| good
2025-10-24T02:00:00.000Z	49 \| good	9.296 \| good	41.409 \| good	10.097 \| good	2.76 \| good	5.697 \| good	0.176 \| good
2025-10-24T03:00:00.000Z	49 \| good	8.952 \| good	39.514 \| good	8.877 \| good	2.924 \| good	5.513 \| good	0.175 \| good
2025-10-24T04:00:00.000Z	49 \| good	8.796 \| good	39.469 \| good	7.439 \| good	3.025 \| good	5.41 \| good	0.174 \| good
2025-10-24T05:00:00.000Z	49 \| good	8.638 \| good	37.627 \| good	6.516 \| good	3.127 \| good	5.307 \| good	0.174 \| good
2025-10-24T06:00:00.000Z	49 \| good	8.557 \| good	37.576 \| good	5.66 \| good	3.228 \| good	5.205 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	44 \| good	8.404 \| good	36.56 \| good	5.278 \| good	3.439 \| good	5.233 \| good	0.174 \| good
2025-10-24T08:00:00.000Z	44 \| good	8.467 \| good	36.647 \| good	4.422 \| good	3.65 \| good	5.261 \| good	0.176 \| good
2025-10-24T09:00:00.000Z	49 \| good	8.52 \| good	37.489 \| good	3.208 \| good	3.861 \| good	5.29 \| good	0.177 \| good
2025-10-24T10:00:00.000Z	52 \| moderate	9.656 \| good	42.689 \| good	1.259 \| good	3.913 \| good	5.868 \| good	0.184 \| good
2025-10-24T11:00:00.000Z	54 \| moderate	10.993 \| good	48.397 \| good	2.073 \| good	3.965 \| good	6.447 \| good	0.191 \| good
2025-10-24T12:00:00.000Z	56 \| moderate	12.324 \| fine	55.345 \| fine	0.933 \| good	4.016 \| good	7.026 \| good	0.198 \| good
2025-10-24T13:00:00.000Z	54 \| moderate	11.085 \| good	49.027 \| good	10.686 \| good	3.652 \| good	5.579 \| good	0.186 \| good
2025-10-24T14:00:00.000Z	44 \| good	8.328 \| good	36.419 \| good	19.521 \| good	3.287 \| good	4.133 \| good	0.174 \| good
2025-10-24T15:00:00.000Z	27 \| good	5.475 \| good	23.496 \| good	23.742 \| good	2.922 \| good	2.687 \| good	0.161 \| good
2025-10-24T16:00:00.000Z	24 \| good	3.394 \| good	14.895 \| good	25.792 \| good	2.464 \| good	2.398 \| good	0.157 \| good
2025-10-24T17:00:00.000Z	24 \| good	3.37 \| good	14.755 \| good	26.162 \| good	2.006 \| good	2.109 \| good	0.152 \| good

Ephrata township

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Ephrata Township, Pennsylvania air quality map: Real-time AQI near you

0.22ppm

How accurate is Pennsylvania, USA air quality data?

Air quality measurements for Pennsylvania, 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

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Frequently asked questions

How frequently is the air quality data for Ephrata Township, Pennsylvania updated?

Air quality data for Ephrata Township, Pennsylvania is updated on an hourly basis.

When did Ephrata Township, Pennsylvania experience the worst air quality in the last 24 hours?

The worst air quality in Ephrata Township, Pennsylvania was recorded at 12:00:00 on 2025-10-22.

When did Ephrata Township, Pennsylvania have its best air quality in the last 24 hours?

The best air quality in Ephrata Township, Pennsylvania was recorded at 03:00:00 on 2025-10-22.

What is the real-time air quality index for Ephrata Township, Pennsylvania?

The real-time air quality index in Ephrata Township, Pennsylvania is 27, currently categorized as Good.

Which pollutant is found most often in Ephrata Township, Pennsylvania?

The most common pollutant in Ephrata Township, Pennsylvania is O3.

What can I do if the air quality in Ephrata Township, Pennsylvania is poor?

If the air quality in Ephrata Township, Pennsylvania is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Ephrata Township, Pennsylvania?

The measured PM_2.5 levels in Ephrata Township, Pennsylvania at present are 2.801 μg/m³.

What are the current PM₁₀ levels at Ephrata Township, Pennsylvania?

The current PM₁₀ levels in Ephrata Township, Pennsylvania are 13.709 μg/m³.

What are the current carbon monoxide (CO) levels at Ephrata Township, Pennsylvania?

The current carbon monoxide (CO) level in Ephrata Township, Pennsylvania is 0.182 ppm.

What are the current sulfur dioxide (SO₂) levels at Ephrata Township, Pennsylvania?

The current sulfur dioxide (SO₂) levels in Ephrata Township, Pennsylvania are 0.209 ppb.

What are the current ozone (O₃) levels at Ephrata Township, Pennsylvania?

The current ozone (O₃) levels at Ephrata Township, Pennsylvania is 28.648 ppm.

What are the current nitrogen dioxide (NO₂) levels at Ephrata Township, Pennsylvania?

The current nitrogen dioxide (NO₂) levels at Ephrata Township, Pennsylvania is 4.81 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T18:00:00.000Z	28 \| good	3.205 \| good	15.963 \| good	29.61 \| good	0.213 \| good	4.014 \| good	0.167 \| good
2025-10-20T19:00:00.000Z	27 \| good	3.41 \| good	16.599 \| good	28.747 \| good	0.2 \| good	2.957 \| good	0.167 \| good
2025-10-20T20:00:00.000Z	28 \| good	2.858 \| good	11.903 \| good	30.408 \| good	0.257 \| good	2.91 \| good	0.167 \| good
2025-10-20T21:00:00.000Z	28 \| good	2.832 \| good	13.279 \| good	30.341 \| good	0.198 \| good	3.02 \| good	0.167 \| good
2025-10-20T22:00:00.000Z	27 \| good	2.806 \| good	11.606 \| good	29.037 \| good	0.22 \| good	2.099 \| good	0.167 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.823 \| good	7.912 \| good	28.586 \| good	0.196 \| good	2.37 \| good	0.182 \| good
2025-10-21T00:00:00.000Z	27 \| good	3.106 \| good	11.698 \| good	28.537 \| good	0.181 \| good	3.27 \| good	0.201 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.778 \| good	13.721 \| good	24.131 \| good	0.202 \| good	4.885 \| good	0.218 \| good
2025-10-21T02:00:00.000Z	22 \| good	3.761 \| good	15.511 \| good	23.186 \| good	0.203 \| good	6.116 \| good	0.307 \| good
2025-10-21T03:00:00.000Z	49 \| good	8.703 \| good	38.131 \| good	12.534 \| good	2.201 \| good	5.453 \| good	0.153 \| good
2025-10-21T04:00:00.000Z	27 \| good	5.125 \| good	22.478 \| good	18.663 \| good	0.222 \| good	7.486 \| good	0.263 \| good
2025-10-21T05:00:00.000Z	33 \| good	5.608 \| good	25.437 \| good	11.236 \| good	0.226 \| good	8.191 \| good	0.263 \| good
2025-10-21T06:00:00.000Z	38 \| good	6.567 \| good	34.517 \| good	9.407 \| good	0.225 \| good	7.571 \| good	0.231 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.621 \| good	23.861 \| good	10.754 \| good	0.206 \| good	8.553 \| good	0.27 \| good
2025-10-21T08:00:00.000Z	33 \| good	5.954 \| good	26.561 \| good	4.019 \| good	0.268 \| good	7.999 \| good	0.251 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.044 \| good	21.108 \| good	5.549 \| good	0.269 \| good	7.666 \| good	0.261 \| good
2025-10-21T10:00:00.000Z	38 \| good	6.5 \| good	29.695 \| good	6.396 \| good	0.364 \| good	8.145 \| good	0.327 \| good
2025-10-21T11:00:00.000Z	38 \| good	6.608 \| good	19.329 \| good	2.628 \| good	0.453 \| good	9.939 \| good	0.333 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.842 \| good	23.356 \| good	4.89 \| good	0.683 \| good	11.142 \| good	0.412 \| good
2025-10-21T13:00:00.000Z	38 \| good	6.904 \| good	27.043 \| good	5.754 \| good	0.792 \| good	11.108 \| good	0.468 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.752 \| good	32.606 \| good	12.232 \| good	0.836 \| good	11.463 \| good	0.417 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.027 \| good	39.347 \| good	17.719 \| good	1.541 \| good	8.178 \| good	0.316 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.468 \| good	23.86 \| good	26.366 \| good	0.803 \| good	6.595 \| good	0.288 \| good
2025-10-21T17:00:00.000Z	25 \| good	4.396 \| good	19.606 \| good	27.156 \| good	0.399 \| good	7.27 \| good	0.249 \| good
2025-10-21T18:00:00.000Z	30 \| good	4.234 \| good	18.4 \| good	31.872 \| good	0.221 \| good	7.775 \| good	0.249 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.653 \| good	15.243 \| good	32.594 \| good	0.221 \| good	6.675 \| good	0.225 \| good
2025-10-21T20:00:00.000Z	29 \| good	4.466 \| good	14.81 \| good	30.595 \| good	0.258 \| good	6.396 \| good	0.225 \| good
2025-10-21T21:00:00.000Z	30 \| good	3.925 \| good	14.908 \| good	31.943 \| good	0.275 \| good	6.973 \| good	0.249 \| good
2025-10-21T22:00:00.000Z	35 \| good	4.493 \| good	19.431 \| good	37.68 \| good	0.321 \| good	4.301 \| good	0.249 \| good
2025-10-21T23:00:00.000Z	32 \| good	4.506 \| good	19.545 \| good	35.317 \| good	0.365 \| good	4.642 \| good	0.229 \| good
2025-10-22T00:00:00.000Z	27 \| good	5.287 \| good	22.483 \| good	27.956 \| good	0.279 \| good	9.323 \| good	0.264 \| good
2025-10-22T01:00:00.000Z	33 \| good	6.452 \| good	20.505 \| good	29.164 \| good	0.362 \| good	11.766 \| good	0.248 \| good
2025-10-22T02:00:00.000Z	44 \| good	8.445 \| good	28.598 \| good	26.477 \| good	0.225 \| good	8.952 \| good	0.327 \| good
2025-10-22T03:00:00.000Z	52 \| moderate	10.404 \| good	46.435 \| good	18.058 \| good	2.534 \| good	6.703 \| good	0.197 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.352 \| good	32.221 \| good	26.582 \| good	0.283 \| good	8.971 \| good	0.307 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.24 \| good	27.102 \| good	17.703 \| good	0.258 \| good	11.74 \| good	0.262 \| good
2025-10-22T06:00:00.000Z	52 \| moderate	9.645 \| good	34.447 \| good	19.098 \| good	0.236 \| good	12.295 \| good	0.262 \| good
2025-10-22T07:00:00.000Z	44 \| good	8.175 \| good	36.846 \| good	18.472 \| good	0.233 \| good	10.659 \| good	0.262 \| good
2025-10-22T08:00:00.000Z	49 \| good	9.162 \| good	35.056 \| good	12.707 \| good	0.258 \| good	11.219 \| good	0.155 \| good
2025-10-22T09:00:00.000Z	49 \| good	8.56 \| good	32.942 \| good	15.132 \| good	0.23 \| good	10.098 \| good	0.246 \| good
2025-10-22T10:00:00.000Z	44 \| good	8.436 \| good	33.199 \| good	10.996 \| good	0.215 \| good	10.134 \| good	0.262 \| good
2025-10-22T11:00:00.000Z	49 \| good	8.718 \| good	27.64 \| good	15.734 \| good	0.165 \| good	11.149 \| good	0.205 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	9.502 \| good	46.039 \| good	13.5 \| good	0.21 \| good	10.692 \| good	0.224 \| good
2025-10-22T13:00:00.000Z	33 \| good	6.305 \| good	31.713 \| good	19.08 \| good	0.206 \| good	11.012 \| good	0.244 \| good
2025-10-22T14:00:00.000Z	27 \| good	4.656 \| good	22.421 \| good	22.777 \| good	0.298 \| good	6.961 \| good	0.22 \| good
2025-10-22T15:00:00.000Z	23 \| good	3.779 \| good	16.409 \| good	25.123 \| good	0.299 \| good	5.154 \| good	0.22 \| good
2025-10-22T16:00:00.000Z	25 \| good	3.137 \| good	13.504 \| good	26.572 \| good	0.252 \| good	4.782 \| good	0.212 \| good
2025-10-22T17:00:00.000Z	27 \| good	2.801 \| good	13.709 \| good	28.648 \| good	0.209 \| good	4.81 \| good	0.182 \| good
2025-10-22T17:00:00.000Z	27 \| good	2.801 \| good	13.709 \| good	28.648 \| good	0.209 \| good	4.81 \| good	0.182 \| good
2025-10-22T18:00:00.000Z	30 \| good	3.819 \| good	16.856 \| good	31.931 \| good	1.531 \| good	1.407 \| good	0.133 \| good
2025-10-22T19:00:00.000Z	31 \| good	3.441 \| good	14.987 \| good	32.721 \| good	1.481 \| good	1.58 \| good	0.134 \| good
2025-10-22T20:00:00.000Z	31 \| good	3.369 \| good	14.94 \| good	32.651 \| good	1.43 \| good	1.753 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.864 \| good	16.772 \| good	29.801 \| good	1.38 \| good	1.926 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	27 \| good	5.027 \| good	21.763 \| good	25.109 \| good	1.489 \| good	2.898 \| good	0.144 \| good
2025-10-22T23:00:00.000Z	38 \| good	7.423 \| good	32.741 \| good	19.171 \| good	1.599 \| good	3.871 \| good	0.153 \| good
2025-10-23T00:00:00.000Z	38 \| good	6.978 \| good	30.825 \| good	18.764 \| good	1.709 \| good	4.844 \| good	0.161 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.458 \| good	23.069 \| good	24.91 \| good	1.786 \| good	4.839 \| good	0.161 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.672 \| good	24.747 \| good	25.214 \| good	1.863 \| good	4.833 \| good	0.161 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.775 \| good	24.797 \| good	23.212 \| good	1.94 \| good	4.828 \| good	0.161 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.524 \| good	29.501 \| good	17.981 \| good	2.127 \| good	4.538 \| good	0.159 \| good
2025-10-23T05:00:00.000Z	38 \| good	6.944 \| good	30.625 \| good	14.647 \| good	2.313 \| good	4.247 \| good	0.156 \| good
2025-10-23T06:00:00.000Z	44 \| good	7.577 \| good	33.539 \| good	13.932 \| good	2.5 \| good	3.957 \| good	0.154 \| good
2025-10-23T07:00:00.000Z	38 \| good	7.32 \| good	32.379 \| good	13.341 \| good	2.532 \| good	3.755 \| good	0.152 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.902 \| good	30.462 \| good	11.751 \| good	2.563 \| good	3.553 \| good	0.15 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.613 \| good	29.633 \| good	12.16 \| good	2.595 \| good	3.352 \| good	0.148 \| good
2025-10-23T10:00:00.000Z	38 \| good	7.105 \| good	31.721 \| good	11.294 \| good	2.542 \| good	3.817 \| good	0.152 \| good
2025-10-23T11:00:00.000Z	44 \| good	8.158 \| good	35.725 \| good	11.206 \| good	2.489 \| good	4.282 \| good	0.156 \| good
2025-10-23T12:00:00.000Z	44 \| good	7.502 \| good	32.907 \| good	16.463 \| good	2.436 \| good	4.747 \| good	0.16 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.781 \| good	20.924 \| good	24.527 \| good	2.344 \| good	4.018 \| good	0.154 \| good
2025-10-23T14:00:00.000Z	25 \| good	3.085 \| good	12.248 \| good	26.996 \| good	2.251 \| good	3.289 \| good	0.149 \| good
2025-10-23T15:00:00.000Z	25 \| good	2.387 \| good	9.859 \| good	26.535 \| good	2.159 \| good	2.56 \| good	0.143 \| good
2025-10-23T16:00:00.000Z	25 \| good	2.729 \| good	11.152 \| good	26.702 \| good	1.975 \| good	2.269 \| good	0.14 \| good
2025-10-23T17:00:00.000Z	25 \| good	2.62 \| good	10.802 \| good	27.184 \| good	1.791 \| good	1.978 \| good	0.137 \| good
2025-10-23T18:00:00.000Z	25 \| good	2.217 \| good	9.056 \| good	27.357 \| good	1.607 \| good	1.687 \| good	0.134 \| good
2025-10-23T19:00:00.000Z	24 \| good	2.634 \| good	10.788 \| good	25.82 \| good	1.661 \| good	1.842 \| good	0.135 \| good
2025-10-23T20:00:00.000Z	23 \| good	2.873 \| good	11.76 \| good	25.169 \| good	1.714 \| good	1.997 \| good	0.137 \| good
2025-10-23T21:00:00.000Z	24 \| good	2.778 \| good	11.555 \| good	26.259 \| good	1.768 \| good	2.153 \| good	0.138 \| good
2025-10-23T22:00:00.000Z	22 \| good	3.585 \| good	15.817 \| good	23.399 \| good	1.99 \| good	3.457 \| good	0.152 \| good
2025-10-23T23:00:00.000Z	33 \| good	5.976 \| good	26.449 \| good	17.466 \| good	2.211 \| good	4.761 \| good	0.165 \| good
2025-10-24T00:00:00.000Z	44 \| good	7.852 \| good	34.394 \| good	13.569 \| good	2.433 \| good	6.065 \| good	0.179 \| good
2025-10-24T01:00:00.000Z	49 \| good	8.97 \| good	39.58 \| good	11.959 \| good	2.597 \| good	5.881 \| good	0.178 \| good
2025-10-24T02:00:00.000Z	49 \| good	9.296 \| good	41.409 \| good	10.097 \| good	2.76 \| good	5.697 \| good	0.176 \| good
2025-10-24T03:00:00.000Z	49 \| good	8.952 \| good	39.514 \| good	8.877 \| good	2.924 \| good	5.513 \| good	0.175 \| good
2025-10-24T04:00:00.000Z	49 \| good	8.796 \| good	39.469 \| good	7.439 \| good	3.025 \| good	5.41 \| good	0.174 \| good
2025-10-24T05:00:00.000Z	49 \| good	8.638 \| good	37.627 \| good	6.516 \| good	3.127 \| good	5.307 \| good	0.174 \| good
2025-10-24T06:00:00.000Z	49 \| good	8.557 \| good	37.576 \| good	5.66 \| good	3.228 \| good	5.205 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	44 \| good	8.404 \| good	36.56 \| good	5.278 \| good	3.439 \| good	5.233 \| good	0.174 \| good
2025-10-24T08:00:00.000Z	44 \| good	8.467 \| good	36.647 \| good	4.422 \| good	3.65 \| good	5.261 \| good	0.176 \| good
2025-10-24T09:00:00.000Z	49 \| good	8.52 \| good	37.489 \| good	3.208 \| good	3.861 \| good	5.29 \| good	0.177 \| good
2025-10-24T10:00:00.000Z	52 \| moderate	9.656 \| good	42.689 \| good	1.259 \| good	3.913 \| good	5.868 \| good	0.184 \| good
2025-10-24T11:00:00.000Z	54 \| moderate	10.993 \| good	48.397 \| good	2.073 \| good	3.965 \| good	6.447 \| good	0.191 \| good
2025-10-24T12:00:00.000Z	56 \| moderate	12.324 \| fine	55.345 \| fine	0.933 \| good	4.016 \| good	7.026 \| good	0.198 \| good
2025-10-24T13:00:00.000Z	54 \| moderate	11.085 \| good	49.027 \| good	10.686 \| good	3.652 \| good	5.579 \| good	0.186 \| good
2025-10-24T14:00:00.000Z	44 \| good	8.328 \| good	36.419 \| good	19.521 \| good	3.287 \| good	4.133 \| good	0.174 \| good
2025-10-24T15:00:00.000Z	27 \| good	5.475 \| good	23.496 \| good	23.742 \| good	2.922 \| good	2.687 \| good	0.161 \| good
2025-10-24T16:00:00.000Z	24 \| good	3.394 \| good	14.895 \| good	25.792 \| good	2.464 \| good	2.398 \| good	0.157 \| good
2025-10-24T17:00:00.000Z	24 \| good	3.37 \| good	14.755 \| good	26.162 \| good	2.006 \| good	2.109 \| good	0.152 \| good

Real-time air quality index in Ephrata Township, Pennsylvania today

Common air pollutants in Ephrata Township, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Ephrata Township, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

Ephrata Township, Pennsylvania air quality map: Real-time AQI near you

Air quality in nearby cities

Ephrata Township, Pennsylvania

Ephrata Borough, Pennsylvania

East Cocalico, Pennsylvania

East Lampeter, Pennsylvania

Manheim Township, Pennsylvania

Spring Township, Pennsylvania

How accurate is Pennsylvania, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Ephrata Township, Pennsylvania updated?

When did Ephrata Township, Pennsylvania experience the worst air quality in the last 24 hours?

When did Ephrata Township, Pennsylvania have its best air quality in the last 24 hours?

What is the real-time air quality index for Ephrata Township, Pennsylvania?

Which pollutant is found most often in Ephrata Township, Pennsylvania?

What can I do if the air quality in Ephrata Township, Pennsylvania is poor?

What are the current PM2.5 levels in Ephrata Township, Pennsylvania?

What are the current PM10 levels at Ephrata Township, Pennsylvania?

What are the current carbon monoxide (CO) levels at Ephrata Township, Pennsylvania?

What are the current sulfur dioxide (SO2) levels at Ephrata Township, Pennsylvania?

What are the current ozone (O3) levels at Ephrata Township, Pennsylvania?

What are the current nitrogen dioxide (NO2) levels at Ephrata Township, Pennsylvania?

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 Ephrata Township, Pennsylvania?

What are the current PM₁₀ levels at Ephrata Township, Pennsylvania?

What are the current sulfur dioxide (SO₂) levels at Ephrata Township, Pennsylvania?

What are the current ozone (O₃) levels at Ephrata Township, Pennsylvania?

What are the current nitrogen dioxide (NO₂) levels at Ephrata Township, Pennsylvania?