What are the current PM10 levels at Parma, New York?

The current PM10 levels in Parma, New York are 12.234 μg/m3.

What are the current sulfur dioxide (SO2) levels at Parma, New York?

The current sulfur dioxide (SO2) levels in Parma, New York are 0.767 ppb.

What are the current ozone (O3) levels at Parma, New York?

The current ozone (O3) levels at Parma, New York is 31.176 ppm.

What are the current nitrogen dioxide (NO2) levels at Parma, New York?

The current nitrogen dioxide (NO2) levels at Parma, New York is 10.662 ppb.

Real-time air quality index in Parma, New York today

Q: What are the current PM2.5 levels in Parma, New York?

The measured PM2.5 levels in Parma, New York at present are 2.909 μg/m3.

Stay updated with real-time air quality in Parma, New York 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

Parma, New York

Last updated: ... (Local time)

Common air pollutants in Parma, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.91 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.23 μg/m³

155

255

425

605+

Ozone (O₃)

31.18 ppb

201

201+

Sulfur Dioxide (SO₂)

0.77 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.66 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.44 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Parma, New York

Get Live Pollen Counts

Parma, New York

Scroll To Air Quality Map

Track live Parma, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-23T02:00:00.000Z	44 \| good	7.85 \| good	34.717 \| good	27.099 \| good	0.8 \| good	21.674 \| good	0.431 \| good
2026-01-23T03:00:00.000Z	27 \| good	5.406 \| good	23.953 \| good	22.636 \| good	0.825 \| good	17.327 \| good	0.35 \| good
2026-01-23T04:00:00.000Z	27 \| good	4.695 \| good	20.824 \| good	22.992 \| good	0.914 \| good	14.239 \| good	0.35 \| good
2026-01-23T05:00:00.000Z	27 \| good	2.34 \| good	10.005 \| good	28.775 \| good	0.922 \| good	12.704 \| good	0.351 \| good
2026-01-23T06:00:00.000Z	28 \| good	2.34 \| good	10.005 \| good	30.113 \| good	0.912 \| good	11.767 \| good	0.266 \| good
2026-01-23T07:00:00.000Z	28 \| good	2.151 \| good	9.47 \| good	29.995 \| good	0.931 \| good	11.824 \| good	0.265 \| good
2026-01-23T08:00:00.000Z	27 \| good	2.787 \| good	11.819 \| good	29.079 \| good	0.945 \| good	11.395 \| good	0.275 \| good
2026-01-23T09:00:00.000Z	28 \| good	3.077 \| good	13.273 \| good	29.805 \| good	0.955 \| good	14.975 \| good	0.275 \| good
2026-01-23T10:00:00.000Z	23 \| good	2.875 \| good	12.694 \| good	25.292 \| good	0.981 \| good	19.163 \| good	0.277 \| good
2026-01-23T11:00:00.000Z	19 \| good	3.095 \| good	13.795 \| good	20.975 \| good	1.022 \| good	20.368 \| good	0.286 \| good
2026-01-23T12:00:00.000Z	30 \| good	4.084 \| good	18.075 \| good	23.505 \| good	0.915 \| good	31.713 \| good	0.307 \| good
2026-01-23T13:00:00.000Z	30 \| good	4.084 \| good	18.075 \| good	19.792 \| good	1.066 \| good	32.352 \| good	0.309 \| good
2026-01-23T14:00:00.000Z	33 \| good	5.132 \| good	22.261 \| good	19.027 \| good	1.071 \| good	35.208 \| good	0.449 \| good
2026-01-23T15:00:00.000Z	33 \| good	5.587 \| good	24.289 \| good	19.618 \| good	1.596 \| good	27.081 \| good	0.45 \| good
2026-01-23T16:00:00.000Z	27 \| good	5.499 \| good	24.102 \| good	20.682 \| good	1.143 \| good	21.93 \| good	0.446 \| good
2026-01-23T17:00:00.000Z	27 \| good	4.724 \| good	20.61 \| good	19.809 \| good	1.5 \| good	16.035 \| good	0.351 \| good
2026-01-23T18:00:00.000Z	27 \| good	4.724 \| good	20.61 \| good	20.307 \| good	1.471 \| good	16.261 \| good	0.351 \| good
2026-01-23T19:00:00.000Z	27 \| good	5.411 \| good	23.867 \| good	26.731 \| good	0.915 \| good	17.275 \| good	0.364 \| good
2026-01-23T20:00:00.000Z	27 \| good	5.006 \| good	21.653 \| good	25.065 \| good	0.899 \| good	19.228 \| good	0.35 \| good
2026-01-23T21:00:00.000Z	27 \| good	4.529 \| good	19.802 \| good	24.898 \| good	0.906 \| good	19.068 \| good	0.357 \| good
2026-01-23T22:00:00.000Z	31 \| good	4.529 \| good	19.802 \| good	32.99 \| good	0.885 \| good	19.014 \| good	0.352 \| good
2026-01-23T23:00:00.000Z	31 \| good	3.396 \| good	14.506 \| good	32.94 \| good	0.852 \| good	18.744 \| good	0.279 \| good
2026-01-24T00:00:00.000Z	30 \| good	3.501 \| good	15.112 \| good	32.184 \| good	0.848 \| good	13.892 \| good	0.197 \| good
2026-01-24T01:00:00.000Z	29 \| good	3.975 \| good	17.152 \| good	31.445 \| good	0.817 \| good	7.935 \| good	0.192 \| good
2026-01-24T02:00:00.000Z	31 \| good	4.039 \| good	17.414 \| good	33.254 \| good	0.753 \| good	6.702 \| good	0.118 \| good
2026-01-24T03:00:00.000Z	33 \| good	3.585 \| good	16.047 \| good	35.534 \| good	0.785 \| good	5.608 \| good	0.116 \| good
2026-01-24T04:00:00.000Z	32 \| good	3.29 \| good	14.57 \| good	34.926 \| good	0.775 \| good	6.046 \| good	0.116 \| good
2026-01-24T05:00:00.000Z	31 \| good	2.556 \| good	11.276 \| good	33.592 \| good	0.773 \| good	5.315 \| good	0.116 \| good
2026-01-24T06:00:00.000Z	31 \| good	2.556 \| good	11.276 \| good	33.249 \| good	0.757 \| good	5.295 \| good	0.116 \| good
2026-01-24T07:00:00.000Z	30 \| good	2.024 \| good	7.982 \| good	31.67 \| good	0.795 \| good	5.492 \| good	0.116 \| good
2026-01-24T08:00:00.000Z	29 \| good	1.46 \| good	6.576 \| good	30.719 \| good	0.766 \| good	6.089 \| good	0.116 \| good
2026-01-24T09:00:00.000Z	29 \| good	1.836 \| good	8.367 \| good	31.041 \| good	0.802 \| good	6.815 \| good	0.116 \| good
2026-01-24T10:00:00.000Z	28 \| good	1.893 \| good	7.884 \| good	29.783 \| good	0.784 \| good	7.862 \| good	0.116 \| good
2026-01-24T11:00:00.000Z	28 \| good	1.438 \| good	6.271 \| good	29.544 \| good	0.744 \| good	7.401 \| good	0.116 \| good
2026-01-24T12:00:00.000Z	29 \| good	1.567 \| good	6.646 \| good	30.586 \| good	0.769 \| good	7.27 \| good	0.116 \| good
2026-01-24T13:00:00.000Z	28 \| good	1.593 \| good	6.934 \| good	30.321 \| good	0.774 \| good	7.342 \| good	0.118 \| good
2026-01-24T14:00:00.000Z	27 \| good	1.387 \| good	5.833 \| good	29.217 \| good	0.75 \| good	7.057 \| good	0.121 \| good
2026-01-24T15:00:00.000Z	29 \| good	1.668 \| good	7.138 \| good	30.618 \| good	0.75 \| good	6.668 \| good	0.118 \| good
2026-01-24T16:00:00.000Z	30 \| good	1.668 \| good	7.138 \| good	31.97 \| good	0.751 \| good	6.719 \| good	0.121 \| good
2026-01-24T17:00:00.000Z	31 \| good	2.47 \| good	11.688 \| good	32.773 \| good	0.759 \| good	7.467 \| good	0.195 \| good
2026-01-24T18:00:00.000Z	31 \| good	2.742 \| good	12.46 \| good	33.232 \| good	0.761 \| good	6.491 \| good	0.193 \| good
2026-01-24T19:00:00.000Z	31 \| good	3.112 \| good	13.743 \| good	33.494 \| good	0.763 \| good	6.366 \| good	0.193 \| good
2026-01-24T20:00:00.000Z	31 \| good	2.311 \| good	9.966 \| good	32.829 \| good	0.763 \| good	7.282 \| good	0.193 \| good
2026-01-24T21:00:00.000Z	30 \| good	1.277 \| good	5.748 \| good	32.12 \| good	0.76 \| good	8.054 \| good	0.209 \| good
2026-01-24T22:00:00.000Z	29 \| good	2.04 \| good	8.591 \| good	30.929 \| good	0.793 \| good	8.4 \| good	0.203 \| good
2026-01-24T23:00:00.000Z	30 \| good	2.17 \| good	9.517 \| good	32.159 \| good	0.787 \| good	9.988 \| good	0.217 \| good
2026-01-25T00:00:00.000Z	29 \| good	2.518 \| good	10.431 \| good	30.885 \| good	0.786 \| good	10.987 \| good	0.292 \| good
2026-01-25T01:00:00.000Z	29 \| good	2.909 \| good	12.234 \| good	31.176 \| good	0.767 \| good	10.662 \| good	0.44 \| good
2026-01-25T01:00:00.000Z	29 \| good	2.909 \| good	12.234 \| good	31.176 \| good	0.767 \| good	10.662 \| good	0.44 \| good
2026-01-25T02:00:00.000Z	27 \| good	1.687 \| good	6.766 \| good	29.193 \| good	1.297 \| good	13.177 \| good	0.181 \| good
2026-01-25T03:00:00.000Z	26 \| good	1.215 \| good	4.771 \| good	28.26 \| good	1.25 \| good	11.618 \| good	0.174 \| good
2026-01-25T04:00:00.000Z	24 \| good	1.053 \| good	4.432 \| good	25.536 \| good	1.296 \| good	10.767 \| good	0.173 \| good
2026-01-25T05:00:00.000Z	24 \| good	1.874 \| good	7.699 \| good	25.738 \| good	1.343 \| good	9.917 \| good	0.172 \| good
2026-01-25T06:00:00.000Z	24 \| good	3.7 \| good	16.271 \| good	26.137 \| good	1.39 \| good	9.067 \| good	0.17 \| good
2026-01-25T07:00:00.000Z	24 \| good	4.101 \| good	18.199 \| good	26.083 \| good	1.484 \| good	9.038 \| good	0.17 \| good
2026-01-25T08:00:00.000Z	23 \| good	3.974 \| good	17.241 \| good	25.265 \| good	1.578 \| good	9.008 \| good	0.17 \| good
2026-01-25T09:00:00.000Z	22 \| good	4.132 \| good	18.206 \| good	23.555 \| good	1.672 \| good	8.978 \| good	0.169 \| good
2026-01-25T10:00:00.000Z	22 \| good	3.769 \| good	16.291 \| good	22.052 \| good	1.783 \| good	10.594 \| good	0.174 \| good
2026-01-25T11:00:00.000Z	22 \| good	4.48 \| good	19.448 \| good	23.313 \| good	1.894 \| good	12.21 \| good	0.179 \| good
2026-01-25T12:00:00.000Z	22 \| good	4.247 \| good	18.457 \| good	24.152 \| good	2.005 \| good	13.826 \| good	0.184 \| good
2026-01-25T13:00:00.000Z	22 \| good	4.219 \| good	18.678 \| good	21.654 \| good	2.049 \| good	15.145 \| good	0.194 \| good
2026-01-25T14:00:00.000Z	21 \| good	2.781 \| good	11.585 \| good	22.961 \| good	2.093 \| good	16.464 \| good	0.205 \| good
2026-01-25T15:00:00.000Z	19 \| good	2.786 \| good	11.419 \| good	19.942 \| good	2.136 \| good	17.784 \| good	0.215 \| good
2026-01-25T16:00:00.000Z	18 \| good	2.833 \| good	11.448 \| good	19.282 \| good	1.977 \| good	17.77 \| good	0.219 \| good
2026-01-25T17:00:00.000Z	22 \| good	4.059 \| good	17.881 \| good	20.81 \| good	1.819 \| good	17.756 \| good	0.223 \| good
2026-01-25T18:00:00.000Z	22 \| good	3.928 \| good	17.411 \| good	20.96 \| good	1.66 \| good	17.742 \| good	0.227 \| good
2026-01-25T19:00:00.000Z	22 \| good	3.507 \| good	15.396 \| good	23.328 \| good	1.557 \| good	17.795 \| good	0.227 \| good
2026-01-25T20:00:00.000Z	22 \| good	4.362 \| good	19 \| good	20.643 \| good	1.454 \| good	17.849 \| good	0.228 \| good
2026-01-25T21:00:00.000Z	27 \| good	4.88 \| good	21.001 \| good	20.742 \| good	1.351 \| good	17.902 \| good	0.228 \| good
2026-01-25T22:00:00.000Z	38 \| good	7.23 \| good	31.953 \| good	19.528 \| good	1.253 \| good	17.434 \| good	0.224 \| good
2026-01-25T23:00:00.000Z	49 \| good	8.71 \| good	38.016 \| good	19.791 \| good	1.155 \| good	16.965 \| good	0.22 \| good
2026-01-26T00:00:00.000Z	49 \| good	8.943 \| good	39.243 \| good	19.705 \| good	1.057 \| good	16.497 \| good	0.217 \| good
2026-01-26T01:00:00.000Z	44 \| good	7.834 \| good	34.309 \| good	19.651 \| good	0.986 \| good	15.134 \| good	0.207 \| good
2026-01-26T02:00:00.000Z	33 \| good	6.041 \| good	26.898 \| good	23.011 \| good	0.915 \| good	13.771 \| good	0.196 \| good
2026-01-26T03:00:00.000Z	27 \| good	4.969 \| good	21.279 \| good	24.394 \| good	0.844 \| good	12.408 \| good	0.186 \| good
2026-01-26T04:00:00.000Z	22 \| good	4.347 \| good	19.123 \| good	22.805 \| good	0.814 \| good	10.689 \| good	0.181 \| good
2026-01-26T05:00:00.000Z	23 \| good	3.551 \| good	15.591 \| good	25.481 \| good	0.784 \| good	8.969 \| good	0.177 \| good
2026-01-26T06:00:00.000Z	27 \| good	4.76 \| good	20.957 \| good	25.388 \| good	0.754 \| good	7.25 \| good	0.173 \| good
2026-01-26T07:00:00.000Z	23 \| good	4.299 \| good	19.102 \| good	24.714 \| good	0.772 \| good	6.951 \| good	0.168 \| good
2026-01-26T08:00:00.000Z	22 \| good	4.36 \| good	19.029 \| good	21.375 \| good	0.791 \| good	6.652 \| good	0.164 \| good
2026-01-26T09:00:00.000Z	33 \| good	5.533 \| good	23.767 \| good	17.06 \| good	0.81 \| good	6.353 \| good	0.159 \| good
2026-01-26T10:00:00.000Z	33 \| good	5.975 \| good	26.961 \| good	12.76 \| good	0.953 \| good	10.189 \| good	0.166 \| good
2026-01-26T11:00:00.000Z	38 \| good	6.613 \| good	29.473 \| good	8.332 \| good	1.097 \| good	14.025 \| good	0.174 \| good
2026-01-26T12:00:00.000Z	38 \| good	7.148 \| good	31.661 \| good	7.968 \| good	1.241 \| good	17.86 \| good	0.181 \| good
2026-01-26T13:00:00.000Z	44 \| good	7.546 \| good	32.995 \| good	9.882 \| good	1.51 \| good	19.779 \| good	0.205 \| good
2026-01-26T14:00:00.000Z	44 \| good	7.785 \| good	34.399 \| good	14.674 \| good	1.779 \| good	21.697 \| good	0.229 \| good
2026-01-26T15:00:00.000Z	44 \| good	8.198 \| good	36.008 \| good	17.46 \| good	2.047 \| good	23.615 \| good	0.253 \| good
2026-01-26T16:00:00.000Z	44 \| good	7.921 \| good	34.889 \| good	18.593 \| good	2.005 \| good	19.062 \| good	0.242 \| good
2026-01-26T17:00:00.000Z	49 \| good	9.379 \| good	41.703 \| good	20.332 \| good	1.963 \| good	14.508 \| good	0.232 \| good
2026-01-26T18:00:00.000Z	54 \| moderate	10.971 \| good	48.342 \| good	23.007 \| good	1.92 \| good	9.955 \| good	0.222 \| good
2026-01-26T19:00:00.000Z	54 \| moderate	11.002 \| good	48.52 \| good	27.574 \| good	1.613 \| good	8.946 \| good	0.214 \| good
2026-01-26T20:00:00.000Z	54 \| moderate	11.433 \| good	50.312 \| good	22.92 \| good	1.306 \| good	7.937 \| good	0.206 \| good
2026-01-26T21:00:00.000Z	56 \| moderate	12.268 \| fine	54.798 \| good	14.49 \| good	0.999 \| good	6.928 \| good	0.198 \| good
2026-01-26T22:00:00.000Z	60 \| moderate	13.678 \| fine	61.271 \| fine	15.937 \| good	0.937 \| good	7.991 \| good	0.2 \| good
2026-01-26T23:00:00.000Z	64 \| moderate	16.231 \| fine	72.296 \| fine	15.559 \| good	0.875 \| good	9.054 \| good	0.202 \| good
2026-01-27T00:00:00.000Z	27 \| good	4.711 \| good	4.752 \| good	28.238 \| good	0.814 \| good	10.196 \| good	0.204 \| good
2026-01-27T01:00:00.000Z	62 \| moderate	14.905 \| fine	66.185 \| fine	22.793 \| good	0.861 \| good	9.659 \| good	0.197 \| good

Parma

Empower business decisions with accurate air quality data

Parma, New York air quality map: Real-time AQI near you

0.29ppm

How accurate is New York, USA air quality data?

Air quality measurements for New York, 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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Check live rankings of places in the USA affected by air pollution.

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Frequently asked questions

How frequently is the air quality data for Parma, New York updated?

Air quality data for Parma, New York is updated on an hourly basis.

When did Parma, New York experience the worst air quality in the last 24 hours?

The worst air quality in Parma, New York was recorded at 03:00:00 on 2026-01-24.

When did Parma, New York have its best air quality in the last 24 hours?

The best air quality in Parma, New York was recorded at 02:00:00 on 2026-01-24.

What is the real-time air quality index for Parma, New York?

The real-time air quality index in Parma, New York is 29, currently categorized as Good.

Which pollutant is found most often in Parma, New York?

The most common pollutant in Parma, New York is O3.

What can I do if the air quality in Parma, New York is poor?

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

What are the current PM_2.5 levels in Parma, New York?

The measured PM_2.5 levels in Parma, New York at present are 2.909 μg/m³.

What are the current PM₁₀ levels at Parma, New York?

The current PM₁₀ levels in Parma, New York are 12.234 μg/m³.

What are the current carbon monoxide (CO) levels at Parma, New York?

The current carbon monoxide (CO) level in Parma, New York is 0.44 ppm.

What are the current sulfur dioxide (SO₂) levels at Parma, New York?

The current sulfur dioxide (SO₂) levels in Parma, New York are 0.767 ppb.

What are the current ozone (O₃) levels at Parma, New York?

The current ozone (O₃) levels at Parma, New York is 31.176 ppm.

What are the current nitrogen dioxide (NO₂) levels at Parma, New York?

The current nitrogen dioxide (NO₂) levels at Parma, New York is 10.662 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-23T02:00:00.000Z	44 \| good	7.85 \| good	34.717 \| good	27.099 \| good	0.8 \| good	21.674 \| good	0.431 \| good
2026-01-23T03:00:00.000Z	27 \| good	5.406 \| good	23.953 \| good	22.636 \| good	0.825 \| good	17.327 \| good	0.35 \| good
2026-01-23T04:00:00.000Z	27 \| good	4.695 \| good	20.824 \| good	22.992 \| good	0.914 \| good	14.239 \| good	0.35 \| good
2026-01-23T05:00:00.000Z	27 \| good	2.34 \| good	10.005 \| good	28.775 \| good	0.922 \| good	12.704 \| good	0.351 \| good
2026-01-23T06:00:00.000Z	28 \| good	2.34 \| good	10.005 \| good	30.113 \| good	0.912 \| good	11.767 \| good	0.266 \| good
2026-01-23T07:00:00.000Z	28 \| good	2.151 \| good	9.47 \| good	29.995 \| good	0.931 \| good	11.824 \| good	0.265 \| good
2026-01-23T08:00:00.000Z	27 \| good	2.787 \| good	11.819 \| good	29.079 \| good	0.945 \| good	11.395 \| good	0.275 \| good
2026-01-23T09:00:00.000Z	28 \| good	3.077 \| good	13.273 \| good	29.805 \| good	0.955 \| good	14.975 \| good	0.275 \| good
2026-01-23T10:00:00.000Z	23 \| good	2.875 \| good	12.694 \| good	25.292 \| good	0.981 \| good	19.163 \| good	0.277 \| good
2026-01-23T11:00:00.000Z	19 \| good	3.095 \| good	13.795 \| good	20.975 \| good	1.022 \| good	20.368 \| good	0.286 \| good
2026-01-23T12:00:00.000Z	30 \| good	4.084 \| good	18.075 \| good	23.505 \| good	0.915 \| good	31.713 \| good	0.307 \| good
2026-01-23T13:00:00.000Z	30 \| good	4.084 \| good	18.075 \| good	19.792 \| good	1.066 \| good	32.352 \| good	0.309 \| good
2026-01-23T14:00:00.000Z	33 \| good	5.132 \| good	22.261 \| good	19.027 \| good	1.071 \| good	35.208 \| good	0.449 \| good
2026-01-23T15:00:00.000Z	33 \| good	5.587 \| good	24.289 \| good	19.618 \| good	1.596 \| good	27.081 \| good	0.45 \| good
2026-01-23T16:00:00.000Z	27 \| good	5.499 \| good	24.102 \| good	20.682 \| good	1.143 \| good	21.93 \| good	0.446 \| good
2026-01-23T17:00:00.000Z	27 \| good	4.724 \| good	20.61 \| good	19.809 \| good	1.5 \| good	16.035 \| good	0.351 \| good
2026-01-23T18:00:00.000Z	27 \| good	4.724 \| good	20.61 \| good	20.307 \| good	1.471 \| good	16.261 \| good	0.351 \| good
2026-01-23T19:00:00.000Z	27 \| good	5.411 \| good	23.867 \| good	26.731 \| good	0.915 \| good	17.275 \| good	0.364 \| good
2026-01-23T20:00:00.000Z	27 \| good	5.006 \| good	21.653 \| good	25.065 \| good	0.899 \| good	19.228 \| good	0.35 \| good
2026-01-23T21:00:00.000Z	27 \| good	4.529 \| good	19.802 \| good	24.898 \| good	0.906 \| good	19.068 \| good	0.357 \| good
2026-01-23T22:00:00.000Z	31 \| good	4.529 \| good	19.802 \| good	32.99 \| good	0.885 \| good	19.014 \| good	0.352 \| good
2026-01-23T23:00:00.000Z	31 \| good	3.396 \| good	14.506 \| good	32.94 \| good	0.852 \| good	18.744 \| good	0.279 \| good
2026-01-24T00:00:00.000Z	30 \| good	3.501 \| good	15.112 \| good	32.184 \| good	0.848 \| good	13.892 \| good	0.197 \| good
2026-01-24T01:00:00.000Z	29 \| good	3.975 \| good	17.152 \| good	31.445 \| good	0.817 \| good	7.935 \| good	0.192 \| good
2026-01-24T02:00:00.000Z	31 \| good	4.039 \| good	17.414 \| good	33.254 \| good	0.753 \| good	6.702 \| good	0.118 \| good
2026-01-24T03:00:00.000Z	33 \| good	3.585 \| good	16.047 \| good	35.534 \| good	0.785 \| good	5.608 \| good	0.116 \| good
2026-01-24T04:00:00.000Z	32 \| good	3.29 \| good	14.57 \| good	34.926 \| good	0.775 \| good	6.046 \| good	0.116 \| good
2026-01-24T05:00:00.000Z	31 \| good	2.556 \| good	11.276 \| good	33.592 \| good	0.773 \| good	5.315 \| good	0.116 \| good
2026-01-24T06:00:00.000Z	31 \| good	2.556 \| good	11.276 \| good	33.249 \| good	0.757 \| good	5.295 \| good	0.116 \| good
2026-01-24T07:00:00.000Z	30 \| good	2.024 \| good	7.982 \| good	31.67 \| good	0.795 \| good	5.492 \| good	0.116 \| good
2026-01-24T08:00:00.000Z	29 \| good	1.46 \| good	6.576 \| good	30.719 \| good	0.766 \| good	6.089 \| good	0.116 \| good
2026-01-24T09:00:00.000Z	29 \| good	1.836 \| good	8.367 \| good	31.041 \| good	0.802 \| good	6.815 \| good	0.116 \| good
2026-01-24T10:00:00.000Z	28 \| good	1.893 \| good	7.884 \| good	29.783 \| good	0.784 \| good	7.862 \| good	0.116 \| good
2026-01-24T11:00:00.000Z	28 \| good	1.438 \| good	6.271 \| good	29.544 \| good	0.744 \| good	7.401 \| good	0.116 \| good
2026-01-24T12:00:00.000Z	29 \| good	1.567 \| good	6.646 \| good	30.586 \| good	0.769 \| good	7.27 \| good	0.116 \| good
2026-01-24T13:00:00.000Z	28 \| good	1.593 \| good	6.934 \| good	30.321 \| good	0.774 \| good	7.342 \| good	0.118 \| good
2026-01-24T14:00:00.000Z	27 \| good	1.387 \| good	5.833 \| good	29.217 \| good	0.75 \| good	7.057 \| good	0.121 \| good
2026-01-24T15:00:00.000Z	29 \| good	1.668 \| good	7.138 \| good	30.618 \| good	0.75 \| good	6.668 \| good	0.118 \| good
2026-01-24T16:00:00.000Z	30 \| good	1.668 \| good	7.138 \| good	31.97 \| good	0.751 \| good	6.719 \| good	0.121 \| good
2026-01-24T17:00:00.000Z	31 \| good	2.47 \| good	11.688 \| good	32.773 \| good	0.759 \| good	7.467 \| good	0.195 \| good
2026-01-24T18:00:00.000Z	31 \| good	2.742 \| good	12.46 \| good	33.232 \| good	0.761 \| good	6.491 \| good	0.193 \| good
2026-01-24T19:00:00.000Z	31 \| good	3.112 \| good	13.743 \| good	33.494 \| good	0.763 \| good	6.366 \| good	0.193 \| good
2026-01-24T20:00:00.000Z	31 \| good	2.311 \| good	9.966 \| good	32.829 \| good	0.763 \| good	7.282 \| good	0.193 \| good
2026-01-24T21:00:00.000Z	30 \| good	1.277 \| good	5.748 \| good	32.12 \| good	0.76 \| good	8.054 \| good	0.209 \| good
2026-01-24T22:00:00.000Z	29 \| good	2.04 \| good	8.591 \| good	30.929 \| good	0.793 \| good	8.4 \| good	0.203 \| good
2026-01-24T23:00:00.000Z	30 \| good	2.17 \| good	9.517 \| good	32.159 \| good	0.787 \| good	9.988 \| good	0.217 \| good
2026-01-25T00:00:00.000Z	29 \| good	2.518 \| good	10.431 \| good	30.885 \| good	0.786 \| good	10.987 \| good	0.292 \| good
2026-01-25T01:00:00.000Z	29 \| good	2.909 \| good	12.234 \| good	31.176 \| good	0.767 \| good	10.662 \| good	0.44 \| good
2026-01-25T01:00:00.000Z	29 \| good	2.909 \| good	12.234 \| good	31.176 \| good	0.767 \| good	10.662 \| good	0.44 \| good
2026-01-25T02:00:00.000Z	27 \| good	1.687 \| good	6.766 \| good	29.193 \| good	1.297 \| good	13.177 \| good	0.181 \| good
2026-01-25T03:00:00.000Z	26 \| good	1.215 \| good	4.771 \| good	28.26 \| good	1.25 \| good	11.618 \| good	0.174 \| good
2026-01-25T04:00:00.000Z	24 \| good	1.053 \| good	4.432 \| good	25.536 \| good	1.296 \| good	10.767 \| good	0.173 \| good
2026-01-25T05:00:00.000Z	24 \| good	1.874 \| good	7.699 \| good	25.738 \| good	1.343 \| good	9.917 \| good	0.172 \| good
2026-01-25T06:00:00.000Z	24 \| good	3.7 \| good	16.271 \| good	26.137 \| good	1.39 \| good	9.067 \| good	0.17 \| good
2026-01-25T07:00:00.000Z	24 \| good	4.101 \| good	18.199 \| good	26.083 \| good	1.484 \| good	9.038 \| good	0.17 \| good
2026-01-25T08:00:00.000Z	23 \| good	3.974 \| good	17.241 \| good	25.265 \| good	1.578 \| good	9.008 \| good	0.17 \| good
2026-01-25T09:00:00.000Z	22 \| good	4.132 \| good	18.206 \| good	23.555 \| good	1.672 \| good	8.978 \| good	0.169 \| good
2026-01-25T10:00:00.000Z	22 \| good	3.769 \| good	16.291 \| good	22.052 \| good	1.783 \| good	10.594 \| good	0.174 \| good
2026-01-25T11:00:00.000Z	22 \| good	4.48 \| good	19.448 \| good	23.313 \| good	1.894 \| good	12.21 \| good	0.179 \| good
2026-01-25T12:00:00.000Z	22 \| good	4.247 \| good	18.457 \| good	24.152 \| good	2.005 \| good	13.826 \| good	0.184 \| good
2026-01-25T13:00:00.000Z	22 \| good	4.219 \| good	18.678 \| good	21.654 \| good	2.049 \| good	15.145 \| good	0.194 \| good
2026-01-25T14:00:00.000Z	21 \| good	2.781 \| good	11.585 \| good	22.961 \| good	2.093 \| good	16.464 \| good	0.205 \| good
2026-01-25T15:00:00.000Z	19 \| good	2.786 \| good	11.419 \| good	19.942 \| good	2.136 \| good	17.784 \| good	0.215 \| good
2026-01-25T16:00:00.000Z	18 \| good	2.833 \| good	11.448 \| good	19.282 \| good	1.977 \| good	17.77 \| good	0.219 \| good
2026-01-25T17:00:00.000Z	22 \| good	4.059 \| good	17.881 \| good	20.81 \| good	1.819 \| good	17.756 \| good	0.223 \| good
2026-01-25T18:00:00.000Z	22 \| good	3.928 \| good	17.411 \| good	20.96 \| good	1.66 \| good	17.742 \| good	0.227 \| good
2026-01-25T19:00:00.000Z	22 \| good	3.507 \| good	15.396 \| good	23.328 \| good	1.557 \| good	17.795 \| good	0.227 \| good
2026-01-25T20:00:00.000Z	22 \| good	4.362 \| good	19 \| good	20.643 \| good	1.454 \| good	17.849 \| good	0.228 \| good
2026-01-25T21:00:00.000Z	27 \| good	4.88 \| good	21.001 \| good	20.742 \| good	1.351 \| good	17.902 \| good	0.228 \| good
2026-01-25T22:00:00.000Z	38 \| good	7.23 \| good	31.953 \| good	19.528 \| good	1.253 \| good	17.434 \| good	0.224 \| good
2026-01-25T23:00:00.000Z	49 \| good	8.71 \| good	38.016 \| good	19.791 \| good	1.155 \| good	16.965 \| good	0.22 \| good
2026-01-26T00:00:00.000Z	49 \| good	8.943 \| good	39.243 \| good	19.705 \| good	1.057 \| good	16.497 \| good	0.217 \| good
2026-01-26T01:00:00.000Z	44 \| good	7.834 \| good	34.309 \| good	19.651 \| good	0.986 \| good	15.134 \| good	0.207 \| good
2026-01-26T02:00:00.000Z	33 \| good	6.041 \| good	26.898 \| good	23.011 \| good	0.915 \| good	13.771 \| good	0.196 \| good
2026-01-26T03:00:00.000Z	27 \| good	4.969 \| good	21.279 \| good	24.394 \| good	0.844 \| good	12.408 \| good	0.186 \| good
2026-01-26T04:00:00.000Z	22 \| good	4.347 \| good	19.123 \| good	22.805 \| good	0.814 \| good	10.689 \| good	0.181 \| good
2026-01-26T05:00:00.000Z	23 \| good	3.551 \| good	15.591 \| good	25.481 \| good	0.784 \| good	8.969 \| good	0.177 \| good
2026-01-26T06:00:00.000Z	27 \| good	4.76 \| good	20.957 \| good	25.388 \| good	0.754 \| good	7.25 \| good	0.173 \| good
2026-01-26T07:00:00.000Z	23 \| good	4.299 \| good	19.102 \| good	24.714 \| good	0.772 \| good	6.951 \| good	0.168 \| good
2026-01-26T08:00:00.000Z	22 \| good	4.36 \| good	19.029 \| good	21.375 \| good	0.791 \| good	6.652 \| good	0.164 \| good
2026-01-26T09:00:00.000Z	33 \| good	5.533 \| good	23.767 \| good	17.06 \| good	0.81 \| good	6.353 \| good	0.159 \| good
2026-01-26T10:00:00.000Z	33 \| good	5.975 \| good	26.961 \| good	12.76 \| good	0.953 \| good	10.189 \| good	0.166 \| good
2026-01-26T11:00:00.000Z	38 \| good	6.613 \| good	29.473 \| good	8.332 \| good	1.097 \| good	14.025 \| good	0.174 \| good
2026-01-26T12:00:00.000Z	38 \| good	7.148 \| good	31.661 \| good	7.968 \| good	1.241 \| good	17.86 \| good	0.181 \| good
2026-01-26T13:00:00.000Z	44 \| good	7.546 \| good	32.995 \| good	9.882 \| good	1.51 \| good	19.779 \| good	0.205 \| good
2026-01-26T14:00:00.000Z	44 \| good	7.785 \| good	34.399 \| good	14.674 \| good	1.779 \| good	21.697 \| good	0.229 \| good
2026-01-26T15:00:00.000Z	44 \| good	8.198 \| good	36.008 \| good	17.46 \| good	2.047 \| good	23.615 \| good	0.253 \| good
2026-01-26T16:00:00.000Z	44 \| good	7.921 \| good	34.889 \| good	18.593 \| good	2.005 \| good	19.062 \| good	0.242 \| good
2026-01-26T17:00:00.000Z	49 \| good	9.379 \| good	41.703 \| good	20.332 \| good	1.963 \| good	14.508 \| good	0.232 \| good
2026-01-26T18:00:00.000Z	54 \| moderate	10.971 \| good	48.342 \| good	23.007 \| good	1.92 \| good	9.955 \| good	0.222 \| good
2026-01-26T19:00:00.000Z	54 \| moderate	11.002 \| good	48.52 \| good	27.574 \| good	1.613 \| good	8.946 \| good	0.214 \| good
2026-01-26T20:00:00.000Z	54 \| moderate	11.433 \| good	50.312 \| good	22.92 \| good	1.306 \| good	7.937 \| good	0.206 \| good
2026-01-26T21:00:00.000Z	56 \| moderate	12.268 \| fine	54.798 \| good	14.49 \| good	0.999 \| good	6.928 \| good	0.198 \| good
2026-01-26T22:00:00.000Z	60 \| moderate	13.678 \| fine	61.271 \| fine	15.937 \| good	0.937 \| good	7.991 \| good	0.2 \| good
2026-01-26T23:00:00.000Z	64 \| moderate	16.231 \| fine	72.296 \| fine	15.559 \| good	0.875 \| good	9.054 \| good	0.202 \| good
2026-01-27T00:00:00.000Z	27 \| good	4.711 \| good	4.752 \| good	28.238 \| good	0.814 \| good	10.196 \| good	0.204 \| good
2026-01-27T01:00:00.000Z	62 \| moderate	14.905 \| fine	66.185 \| fine	22.793 \| good	0.861 \| good	9.659 \| good	0.197 \| good

Real-time air quality index in Parma, New York today

Common air pollutants in Parma, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Parma, New York air quality forecast and history

Empower business decisions with accurate air quality data

Parma, New York air quality map: Real-time AQI near you

Air quality in nearby cities

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Batavia City, New York

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How accurate is New York, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Parma, New York updated?

When did Parma, New York experience the worst air quality in the last 24 hours?

When did Parma, New York have its best air quality in the last 24 hours?

What is the real-time air quality index for Parma, New York?

Which pollutant is found most often in Parma, New York?

What can I do if the air quality in Parma, New York is poor?

What are the current PM2.5 levels in Parma, New York?

What are the current PM10 levels at Parma, New York?

What are the current carbon monoxide (CO) levels at Parma, New York?

What are the current sulfur dioxide (SO2) levels at Parma, New York?

What are the current ozone (O3) levels at Parma, New York?

What are the current nitrogen dioxide (NO2) levels at Parma, New York?

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 Parma, New York?

What are the current PM₁₀ levels at Parma, New York?

What are the current sulfur dioxide (SO₂) levels at Parma, New York?

What are the current ozone (O₃) levels at Parma, New York?

What are the current nitrogen dioxide (NO₂) levels at Parma, New York?