What is the current concentration of PM10 in Ephrata Borough, Pennsylvania?

The current PM10 concentration at Ephrata Borough, Pennsylvania is 13.709 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Ephrata Borough, Pennsylvania?

The current sulfur dioxide (SO2) concentration at Ephrata Borough, Pennsylvania is 0.209 ppb.

What is the current concentration of ozone (O3) in Ephrata Borough, Pennsylvania?

The current ozone (O3) concentration at Ephrata Borough, Pennsylvania is 28.648 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Ephrata Borough, Pennsylvania?

The current nitrogen dioxide (NO2) concentration at Ephrata Borough, Pennsylvania is 4.81 ppb.

Ephrata Borough, Pennsylvania live air quality index now

Q: What is the current concentration of PM2.5 in Ephrata Borough, Pennsylvania?

The current PM2.5 concentration at Ephrata Borough, Pennsylvania is 2.801 μg/m3.

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

Last updated: ... (Local time)

Major air pollutants in Ephrata Borough, 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

Low

Ephrata Borough, Pennsylvania

Get Live Pollen Counts

Ephrata Borough, Pennsylvania

Scroll To Air Quality Map

Track live Ephrata Borough, 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 borough

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Ephrata Borough, Pennsylvania air quality map: Track AQI near you

0.22ppm

How accurate is Pennsylvania, USA air quality data?

Air quality data and pollutant measurements for Pennsylvania, 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 Ephrata Borough, Pennsylvania updated?

The air quality for Ephrata Borough, Pennsylvania is updated every hour.

When was the worst air quality at Ephrata Borough, Pennsylvania in the last 24 hrs?

The worst air quality in Ephrata Borough, Pennsylvania in the last 24 hours was observed at 12:00:00 on 2025-10-22.

When was the best air quality at Ephrata Borough, Pennsylvania in the last 24 hrs?

In the last 24 hrs, the best air quality in Ephrata Borough, Pennsylvania was observed at 03:00:00 on 2025-10-22.

What is the current air quality in Ephrata Borough, Pennsylvania?

The current air quality in Ephrata Borough, Pennsylvania is 27, categorized as Good based on real-time data.

What pollutant is the most common in Ephrata Borough, Pennsylvania?

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

What should I do if the air quality in Ephrata Borough, Pennsylvania is poor?

If the air quality in Ephrata Borough, Pennsylvania is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Ephrata Borough, Pennsylvania?

The current PM_2.5 concentration at Ephrata Borough, Pennsylvania is 2.801 μg/m³.

What is the current concentration of PM₁₀ in Ephrata Borough, Pennsylvania?

The current PM₁₀ concentration at Ephrata Borough, Pennsylvania is 13.709 μg/m³.

What is the current concentration of carbon monoxide (CO) in Ephrata Borough, Pennsylvania?

The current carbon monoxide (CO) concentration at Ephrata Borough, Pennsylvania is 0.182 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Ephrata Borough, Pennsylvania?

The current sulfur dioxide (SO₂) concentration at Ephrata Borough, Pennsylvania is 0.209 ppb.

What is the current concentration of ozone (O₃) in Ephrata Borough, Pennsylvania?

The current ozone (O₃) concentration at Ephrata Borough, Pennsylvania is 28.648 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Ephrata Borough, Pennsylvania?

The current nitrogen dioxide (NO₂) concentration at Ephrata Borough, 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

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Major air pollutants in Ephrata Borough, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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