What is the current concentration of PM10 in Hooksett, New Hampshire?

The current PM10 concentration at Hooksett, New Hampshire is 2.816 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Hooksett, New Hampshire?

The current sulfur dioxide (SO2) concentration at Hooksett, New Hampshire is 0.601 ppb.

What is the current concentration of ozone (O3) in Hooksett, New Hampshire?

The current ozone (O3) concentration at Hooksett, New Hampshire is 21.324 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Hooksett, New Hampshire?

The current nitrogen dioxide (NO2) concentration at Hooksett, New Hampshire is 1.712 ppb.

Hooksett, New Hampshire live air quality index now

Q: What is the current concentration of PM2.5 in Hooksett, New Hampshire?

The current PM2.5 concentration at Hooksett, New Hampshire is 0.622 μg/m3.

Stay updated with real-time air quality in Hooksett, New Hampshire 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

Hooksett, New Hampshire

Last updated: ... (Local time)

Major air pollutants in Hooksett, New Hampshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

0.62 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

2.82 μg/m³

155

255

425

605+

Ozone (O₃)

21.32 ppb

201

201+

Sulfur Dioxide (SO₂)

0.60 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.71 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.16 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Hooksett, New Hampshire

Get Live Pollen Counts

Hooksett, New Hampshire

Scroll To Air Quality Map

Track live Hooksett, New Hampshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	25 \| good	3.715 \| good	10.538 \| good	27.155 \| good	0.759 \| good	0.992 \| good	0.178 \| good
2026-09-27T00:00:00.000Z	22 \| good	3.986 \| good	9.666 \| good	23.295 \| good	0.758 \| good	0.754 \| good	0.178 \| good
2026-09-27T01:00:00.000Z	25 \| good	4.12 \| good	12.144 \| good	26.777 \| good	0.684 \| good	0.764 \| good	0.178 \| good
2026-09-27T02:00:00.000Z	26 \| good	4.377 \| good	14.079 \| good	27.534 \| good	0.7 \| good	0.659 \| good	0.131 \| good
2026-09-27T03:00:00.000Z	23 \| good	1.09 \| good	4.39 \| good	24.602 \| good	0.155 \| good	0.76 \| good	0.135 \| good
2026-09-27T04:00:00.000Z	30 \| good	4.078 \| good	11.768 \| good	32.212 \| good	0.775 \| good	2.043 \| good	0.178 \| good
2026-09-27T05:00:00.000Z	29 \| good	3.661 \| good	13.218 \| good	30.637 \| good	0.682 \| good	1.598 \| good	0.178 \| good
2026-09-27T06:00:00.000Z	29 \| good	2.999 \| good	12.862 \| good	30.508 \| good	0.697 \| good	0.818 \| good	0.131 \| good
2026-09-27T07:00:00.000Z	29 \| good	2.739 \| good	11.236 \| good	31.102 \| good	0.697 \| good	1.463 \| good	0.131 \| good
2026-09-27T08:00:00.000Z	29 \| good	1.693 \| good	9.413 \| good	30.959 \| good	0.683 \| good	0.552 \| good	0.131 \| good
2026-09-27T09:00:00.000Z	28 \| good	1.845 \| good	5.411 \| good	30.319 \| good	0.681 \| good	1.422 \| good	0.131 \| good
2026-09-27T10:00:00.000Z	28 \| good	1.004 \| good	5.575 \| good	29.766 \| good	0.679 \| good	1.49 \| good	0.131 \| good
2026-09-27T11:00:00.000Z	29 \| good	1.267 \| good	3.616 \| good	30.661 \| good	0.697 \| good	1.955 \| good	0.131 \| good
2026-09-27T12:00:00.000Z	28 \| good	0.958 \| good	3.731 \| good	30.16 \| good	0.758 \| good	0.626 \| good	0.131 \| good
2026-09-27T13:00:00.000Z	29 \| good	0.876 \| good	3.315 \| good	31.402 \| good	0.758 \| good	0.619 \| good	0.131 \| good
2026-09-27T14:00:00.000Z	29 \| good	0.763 \| good	2.414 \| good	30.931 \| good	0.758 \| good	0.877 \| good	0.131 \| good
2026-09-27T15:00:00.000Z	29 \| good	0.728 \| good	2.229 \| good	31.185 \| good	0.595 \| good	2.303 \| good	0.142 \| good
2026-09-27T16:00:00.000Z	30 \| good	0.796 \| good	4.367 \| good	31.79 \| good	0.773 \| good	0.809 \| good	0.142 \| good
2026-09-27T17:00:00.000Z	31 \| good	0.931 \| good	3.338 \| good	33.661 \| good	0.681 \| good	0.811 \| good	0.142 \| good
2026-09-27T18:00:00.000Z	31 \| good	1.138 \| good	5.357 \| good	33.426 \| good	0.698 \| good	1.199 \| good	0.142 \| good
2026-09-27T19:00:00.000Z	28 \| good	1.222 \| good	4.044 \| good	29.793 \| good	0.688 \| good	0.84 \| good	0.142 \| good
2026-09-27T20:00:00.000Z	28 \| good	1.019 \| good	6.602 \| good	30.44 \| good	0.696 \| good	0.749 \| good	0.142 \| good
2026-09-27T21:00:00.000Z	27 \| good	1.109 \| good	3.255 \| good	29.074 \| good	0.603 \| good	0.7 \| good	0.142 \| good
2026-09-27T22:00:00.000Z	27 \| good	1.15 \| good	4.37 \| good	28.771 \| good	0.622 \| good	0.955 \| good	0.142 \| good
2026-09-27T23:00:00.000Z	27 \| good	1.172 \| good	8.907 \| good	29.234 \| good	0.683 \| good	0.848 \| good	0.142 \| good
2026-09-28T00:00:00.000Z	27 \| good	2.17 \| good	5.698 \| good	28.544 \| good	0.679 \| good	0.843 \| good	0.142 \| good
2026-09-28T01:00:00.000Z	25 \| good	1.451 \| good	3.646 \| good	27.39 \| good	0.697 \| good	0.672 \| good	0.131 \| good
2026-09-28T02:00:00.000Z	25 \| good	1.558 \| good	4.772 \| good	27.287 \| good	0.681 \| good	0.64 \| good	0.131 \| good
2026-09-28T03:00:00.000Z	24 \| good	2.497 \| good	10.068 \| good	26.361 \| good	0.164 \| good	0.977 \| good	0.126 \| good
2026-09-28T04:00:00.000Z	27 \| good	1.517 \| good	3.644 \| good	29.109 \| good	0.773 \| good	0.834 \| good	0.131 \| good
2026-09-28T05:00:00.000Z	27 \| good	1.33 \| good	4.821 \| good	28.965 \| good	0.757 \| good	0.729 \| good	0.131 \| good
2026-09-28T06:00:00.000Z	29 \| good	1.668 \| good	6.02 \| good	30.617 \| good	0.697 \| good	0.849 \| good	0.131 \| good
2026-09-28T07:00:00.000Z	28 \| good	1.823 \| good	3.906 \| good	29.692 \| good	0.697 \| good	0.867 \| good	0.131 \| good
2026-09-28T08:00:00.000Z	28 \| good	1.807 \| good	4.554 \| good	29.824 \| good	0.697 \| good	0.565 \| good	0.131 \| good
2026-09-28T09:00:00.000Z	27 \| good	1.506 \| good	6.873 \| good	28.553 \| good	0.753 \| good	0.678 \| good	0.131 \| good
2026-09-28T10:00:00.000Z	26 \| good	1.129 \| good	4.484 \| good	28.462 \| good	0.671 \| good	1.046 \| good	0.131 \| good
2026-09-28T11:00:00.000Z	26 \| good	1.07 \| good	3.568 \| good	27.926 \| good	0.697 \| good	1.526 \| good	0.142 \| good
2026-09-28T12:00:00.000Z	26 \| good	0.903 \| good	4.991 \| good	28.158 \| good	0.603 \| good	1.855 \| good	0.142 \| good
2026-09-28T13:00:00.000Z	24 \| good	0.774 \| good	3.828 \| good	26.232 \| good	0.603 \| good	1.484 \| good	0.142 \| good
2026-09-28T14:00:00.000Z	25 \| good	0.797 \| good	3.358 \| good	26.847 \| good	0.77 \| good	1.431 \| good	0.164 \| good
2026-09-28T15:00:00.000Z	24 \| good	0.84 \| good	2.215 \| good	26.123 \| good	0.679 \| good	1.326 \| good	0.164 \| good
2026-09-28T16:00:00.000Z	23 \| good	0.708 \| good	2.495 \| good	24.944 \| good	0.694 \| good	1.108 \| good	0.152 \| good
2026-09-28T17:00:00.000Z	23 \| good	0.567 \| good	1.916 \| good	24.526 \| good	0.698 \| good	1.275 \| good	0.152 \| good
2026-09-28T18:00:00.000Z	22 \| good	0.59 \| good	2.208 \| good	23.894 \| good	0.697 \| good	1.377 \| good	0.152 \| good
2026-09-28T19:00:00.000Z	22 \| good	0.553 \| good	2.773 \| good	24.227 \| good	0.675 \| good	1.695 \| good	0.164 \| good
2026-09-28T20:00:00.000Z	20 \| good	0.583 \| good	3.232 \| good	21.598 \| good	0.715 \| good	2.726 \| good	0.164 \| good
2026-09-28T21:00:00.000Z	19 \| good	0.622 \| good	2.816 \| good	21.324 \| good	0.601 \| good	1.712 \| good	0.164 \| good
2026-09-28T22:00:00.000Z	18 \| good	0.593 \| good	2.779 \| good	19.025 \| good	0.698 \| good	1.89 \| good	0.164 \| good
2026-09-28T22:00:00.000Z	19 \| good	0.622 \| good	2.816 \| good	21.324 \| good	0.601 \| good	1.712 \| good	0.164 \| good
2026-09-28T23:00:00.000Z	23 \| good	1.534 \| good	6.265 \| good	25.019 \| good	0.174 \| good	2.104 \| good	0.147 \| good
2026-09-29T00:00:00.000Z	21 \| good	2.262 \| good	9.417 \| good	23.425 \| good	0.189 \| good	2.171 \| good	0.147 \| good
2026-09-29T01:00:00.000Z	20 \| good	2.385 \| good	9.919 \| good	21.835 \| good	0.202 \| good	2.249 \| good	0.148 \| good
2026-09-29T02:00:00.000Z	19 \| good	2.484 \| good	10.054 \| good	20.982 \| good	0.214 \| good	2.238 \| good	0.148 \| good
2026-09-29T03:00:00.000Z	19 \| good	2.591 \| good	10.527 \| good	20.794 \| good	0.217 \| good	2.196 \| good	0.148 \| good
2026-09-29T04:00:00.000Z	19 \| good	2.399 \| good	9.719 \| good	20.911 \| good	0.206 \| good	1.984 \| good	0.146 \| good
2026-09-29T05:00:00.000Z	19 \| good	2.395 \| good	9.768 \| good	20.667 \| good	0.195 \| good	1.797 \| good	0.145 \| good
2026-09-29T06:00:00.000Z	19 \| good	2.607 \| good	10.582 \| good	21.116 \| good	0.184 \| good	1.668 \| good	0.144 \| good
2026-09-29T07:00:00.000Z	19 \| good	3.026 \| good	12.566 \| good	19.888 \| good	0.174 \| good	1.584 \| good	0.143 \| good
2026-09-29T08:00:00.000Z	16 \| good	3.1 \| good	13.046 \| good	17.428 \| good	0.164 \| good	1.534 \| good	0.143 \| good
2026-09-29T09:00:00.000Z	22 \| good	3.503 \| good	15.539 \| good	14.849 \| good	0.153 \| good	1.513 \| good	0.143 \| good
2026-09-29T10:00:00.000Z	22 \| good	3.74 \| good	16.09 \| good	12.745 \| good	0.147 \| good	1.574 \| good	0.144 \| good
2026-09-29T11:00:00.000Z	22 \| good	3.648 \| good	16.002 \| good	12.446 \| good	0.159 \| good	2.032 \| good	0.15 \| good
2026-09-29T12:00:00.000Z	16 \| good	3.346 \| good	14.673 \| good	15.639 \| good	0.173 \| good	2.41 \| good	0.159 \| good
2026-09-29T13:00:00.000Z	19 \| good	2.962 \| good	12.098 \| good	21.219 \| good	0.178 \| good	2.082 \| good	0.161 \| good
2026-09-29T14:00:00.000Z	23 \| good	2.805 \| good	11.468 \| good	24.836 \| good	0.18 \| good	1.533 \| good	0.157 \| good
2026-09-29T15:00:00.000Z	24 \| good	2.928 \| good	12.012 \| good	26.252 \| good	0.186 \| good	1.135 \| good	0.151 \| good
2026-09-29T16:00:00.000Z	26 \| good	3.083 \| good	12.937 \| good	27.88 \| good	0.2 \| good	0.964 \| good	0.147 \| good
2026-09-29T17:00:00.000Z	26 \| good	3.041 \| good	12.597 \| good	28.45 \| good	0.213 \| good	0.921 \| good	0.146 \| good
2026-09-29T18:00:00.000Z	29 \| good	3.263 \| good	14.416 \| good	30.769 \| good	0.229 \| good	0.927 \| good	0.147 \| good
2026-09-29T19:00:00.000Z	29 \| good	3.409 \| good	15.163 \| good	30.915 \| good	0.247 \| good	0.996 \| good	0.149 \| good
2026-09-29T20:00:00.000Z	28 \| good	3.368 \| good	14.903 \| good	29.923 \| good	0.268 \| good	1.129 \| good	0.152 \| good
2026-09-29T21:00:00.000Z	27 \| good	3.007 \| good	12.013 \| good	28.543 \| good	0.286 \| good	1.396 \| good	0.155 \| good
2026-09-29T22:00:00.000Z	24 \| good	3.097 \| good	13.253 \| good	25.587 \| good	0.311 \| good	2.112 \| good	0.162 \| good
2026-09-29T23:00:00.000Z	22 \| good	2.993 \| good	12 \| good	24.418 \| good	0.357 \| good	3.459 \| good	0.176 \| good
2026-09-30T00:00:00.000Z	25 \| good	3.893 \| good	17.005 \| good	27.069 \| good	0.405 \| good	3.975 \| good	0.181 \| good
2026-09-30T01:00:00.000Z	22 \| good	4.091 \| good	17.98 \| good	22.887 \| good	0.446 \| good	4.071 \| good	0.182 \| good
2026-09-30T02:00:00.000Z	27 \| good	4.693 \| good	20.317 \| good	20.23 \| good	0.479 \| good	4.119 \| good	0.184 \| good
2026-09-30T03:00:00.000Z	27 \| good	4.944 \| good	21.336 \| good	18.149 \| good	0.491 \| good	4.075 \| good	0.184 \| good
2026-09-30T04:00:00.000Z	27 \| good	4.989 \| good	21.554 \| good	16.966 \| good	0.48 \| good	3.829 \| good	0.183 \| good
2026-09-30T05:00:00.000Z	27 \| good	4.513 \| good	19.597 \| good	14.097 \| good	0.464 \| good	3.611 \| good	0.182 \| good
2026-09-30T06:00:00.000Z	27 \| good	4.512 \| good	19.728 \| good	14.325 \| good	0.449 \| good	3.57 \| good	0.182 \| good
2026-09-30T07:00:00.000Z	27 \| good	4.983 \| good	21.299 \| good	14.069 \| good	0.438 \| good	3.659 \| good	0.184 \| good
2026-09-30T08:00:00.000Z	27 \| good	4.794 \| good	20.719 \| good	13.077 \| good	0.437 \| good	3.899 \| good	0.186 \| good
2026-09-30T09:00:00.000Z	22 \| good	3.73 \| good	16.336 \| good	10.253 \| good	0.439 \| good	4.037 \| good	0.189 \| good
2026-09-30T10:00:00.000Z	27 \| good	4.542 \| good	19.88 \| good	10.013 \| good	0.444 \| good	4.181 \| good	0.191 \| good
2026-09-30T11:00:00.000Z	22 \| good	4.366 \| good	19.055 \| good	10.97 \| good	0.473 \| good	4.627 \| good	0.199 \| good
2026-09-30T12:00:00.000Z	27 \| good	4.539 \| good	19.577 \| good	12.85 \| good	0.485 \| good	4.166 \| good	0.204 \| good
2026-09-30T13:00:00.000Z	22 \| good	4.327 \| good	18.969 \| good	16.868 \| good	0.488 \| good	3.127 \| good	0.199 \| good
2026-09-30T14:00:00.000Z	27 \| good	4.703 \| good	20.601 \| good	23.115 \| good	0.466 \| good	1.954 \| good	0.186 \| good
2026-09-30T15:00:00.000Z	26 \| good	4.473 \| good	19.548 \| good	27.853 \| good	0.388 \| good	1.16 \| good	0.172 \| good
2026-09-30T16:00:00.000Z	29 \| good	4.592 \| good	20.084 \| good	31.487 \| good	0.334 \| good	0.866 \| good	0.164 \| good
2026-09-30T17:00:00.000Z	31 \| good	4.143 \| good	18.084 \| good	34.306 \| good	0.292 \| good	0.785 \| good	0.157 \| good
2026-09-30T18:00:00.000Z	31 \| good	3.441 \| good	14.726 \| good	34.07 \| good	0.274 \| good	0.778 \| good	0.154 \| good
2026-09-30T19:00:00.000Z	32 \| good	2.793 \| good	11.307 \| good	34.619 \| good	0.25 \| good	0.818 \| good	0.151 \| good
2026-09-30T20:00:00.000Z	30 \| good	2.626 \| good	10.819 \| good	32.181 \| good	0.248 \| good	1.051 \| good	0.151 \| good
2026-09-30T21:00:00.000Z	27 \| good	3.517 \| good	15.442 \| good	28.601 \| good	0.261 \| good	2.049 \| good	0.163 \| good
2026-09-30T22:00:00.000Z	24 \| good	2.753 \| good	11.261 \| good	25.778 \| good	0.32 \| good	4.776 \| good	0.198 \| good

Hooksett

Get reliable air quality data to drive your business

Hooksett, New Hampshire air quality map: Track AQI near you

0.15ppm

How accurate is New Hampshire, USA air quality data?

Air quality data and pollutant measurements for New Hampshire, 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 Hooksett, New Hampshire updated?

The air quality for Hooksett, New Hampshire is updated every hour.

When was the worst air quality at Hooksett, New Hampshire in the last 24 hrs?

The worst air quality in Hooksett, New Hampshire in the last 24 hours was observed at 06:00:00 on 2026-09-28.

When was the best air quality at Hooksett, New Hampshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Hooksett, New Hampshire was observed at 09:00:00 on 2026-09-28.

What is the current air quality in Hooksett, New Hampshire?

The current air quality in Hooksett, New Hampshire is 19, categorized as Good based on real-time data.

What pollutant is the most common in Hooksett, New Hampshire?

The most common pollutant in Hooksett, New Hampshire is O3.

What should I do if the air quality in Hooksett, New Hampshire is poor?

If the air quality in Hooksett, New Hampshire is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Hooksett, New Hampshire?

The current PM_2.5 concentration at Hooksett, New Hampshire is 0.622 μg/m³.

What is the current concentration of PM₁₀ in Hooksett, New Hampshire?

The current PM₁₀ concentration at Hooksett, New Hampshire is 2.816 μg/m³.

What is the current concentration of carbon monoxide (CO) in Hooksett, New Hampshire?

The current carbon monoxide (CO) concentration at Hooksett, New Hampshire is 0.164 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Hooksett, New Hampshire?

The current sulfur dioxide (SO₂) concentration at Hooksett, New Hampshire is 0.601 ppb.

What is the current concentration of ozone (O₃) in Hooksett, New Hampshire?

The current ozone (O₃) concentration at Hooksett, New Hampshire is 21.324 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Hooksett, New Hampshire?

The current nitrogen dioxide (NO₂) concentration at Hooksett, New Hampshire is 1.712 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	25 \| good	3.715 \| good	10.538 \| good	27.155 \| good	0.759 \| good	0.992 \| good	0.178 \| good
2026-09-27T00:00:00.000Z	22 \| good	3.986 \| good	9.666 \| good	23.295 \| good	0.758 \| good	0.754 \| good	0.178 \| good
2026-09-27T01:00:00.000Z	25 \| good	4.12 \| good	12.144 \| good	26.777 \| good	0.684 \| good	0.764 \| good	0.178 \| good
2026-09-27T02:00:00.000Z	26 \| good	4.377 \| good	14.079 \| good	27.534 \| good	0.7 \| good	0.659 \| good	0.131 \| good
2026-09-27T03:00:00.000Z	23 \| good	1.09 \| good	4.39 \| good	24.602 \| good	0.155 \| good	0.76 \| good	0.135 \| good
2026-09-27T04:00:00.000Z	30 \| good	4.078 \| good	11.768 \| good	32.212 \| good	0.775 \| good	2.043 \| good	0.178 \| good
2026-09-27T05:00:00.000Z	29 \| good	3.661 \| good	13.218 \| good	30.637 \| good	0.682 \| good	1.598 \| good	0.178 \| good
2026-09-27T06:00:00.000Z	29 \| good	2.999 \| good	12.862 \| good	30.508 \| good	0.697 \| good	0.818 \| good	0.131 \| good
2026-09-27T07:00:00.000Z	29 \| good	2.739 \| good	11.236 \| good	31.102 \| good	0.697 \| good	1.463 \| good	0.131 \| good
2026-09-27T08:00:00.000Z	29 \| good	1.693 \| good	9.413 \| good	30.959 \| good	0.683 \| good	0.552 \| good	0.131 \| good
2026-09-27T09:00:00.000Z	28 \| good	1.845 \| good	5.411 \| good	30.319 \| good	0.681 \| good	1.422 \| good	0.131 \| good
2026-09-27T10:00:00.000Z	28 \| good	1.004 \| good	5.575 \| good	29.766 \| good	0.679 \| good	1.49 \| good	0.131 \| good
2026-09-27T11:00:00.000Z	29 \| good	1.267 \| good	3.616 \| good	30.661 \| good	0.697 \| good	1.955 \| good	0.131 \| good
2026-09-27T12:00:00.000Z	28 \| good	0.958 \| good	3.731 \| good	30.16 \| good	0.758 \| good	0.626 \| good	0.131 \| good
2026-09-27T13:00:00.000Z	29 \| good	0.876 \| good	3.315 \| good	31.402 \| good	0.758 \| good	0.619 \| good	0.131 \| good
2026-09-27T14:00:00.000Z	29 \| good	0.763 \| good	2.414 \| good	30.931 \| good	0.758 \| good	0.877 \| good	0.131 \| good
2026-09-27T15:00:00.000Z	29 \| good	0.728 \| good	2.229 \| good	31.185 \| good	0.595 \| good	2.303 \| good	0.142 \| good
2026-09-27T16:00:00.000Z	30 \| good	0.796 \| good	4.367 \| good	31.79 \| good	0.773 \| good	0.809 \| good	0.142 \| good
2026-09-27T17:00:00.000Z	31 \| good	0.931 \| good	3.338 \| good	33.661 \| good	0.681 \| good	0.811 \| good	0.142 \| good
2026-09-27T18:00:00.000Z	31 \| good	1.138 \| good	5.357 \| good	33.426 \| good	0.698 \| good	1.199 \| good	0.142 \| good
2026-09-27T19:00:00.000Z	28 \| good	1.222 \| good	4.044 \| good	29.793 \| good	0.688 \| good	0.84 \| good	0.142 \| good
2026-09-27T20:00:00.000Z	28 \| good	1.019 \| good	6.602 \| good	30.44 \| good	0.696 \| good	0.749 \| good	0.142 \| good
2026-09-27T21:00:00.000Z	27 \| good	1.109 \| good	3.255 \| good	29.074 \| good	0.603 \| good	0.7 \| good	0.142 \| good
2026-09-27T22:00:00.000Z	27 \| good	1.15 \| good	4.37 \| good	28.771 \| good	0.622 \| good	0.955 \| good	0.142 \| good
2026-09-27T23:00:00.000Z	27 \| good	1.172 \| good	8.907 \| good	29.234 \| good	0.683 \| good	0.848 \| good	0.142 \| good
2026-09-28T00:00:00.000Z	27 \| good	2.17 \| good	5.698 \| good	28.544 \| good	0.679 \| good	0.843 \| good	0.142 \| good
2026-09-28T01:00:00.000Z	25 \| good	1.451 \| good	3.646 \| good	27.39 \| good	0.697 \| good	0.672 \| good	0.131 \| good
2026-09-28T02:00:00.000Z	25 \| good	1.558 \| good	4.772 \| good	27.287 \| good	0.681 \| good	0.64 \| good	0.131 \| good
2026-09-28T03:00:00.000Z	24 \| good	2.497 \| good	10.068 \| good	26.361 \| good	0.164 \| good	0.977 \| good	0.126 \| good
2026-09-28T04:00:00.000Z	27 \| good	1.517 \| good	3.644 \| good	29.109 \| good	0.773 \| good	0.834 \| good	0.131 \| good
2026-09-28T05:00:00.000Z	27 \| good	1.33 \| good	4.821 \| good	28.965 \| good	0.757 \| good	0.729 \| good	0.131 \| good
2026-09-28T06:00:00.000Z	29 \| good	1.668 \| good	6.02 \| good	30.617 \| good	0.697 \| good	0.849 \| good	0.131 \| good
2026-09-28T07:00:00.000Z	28 \| good	1.823 \| good	3.906 \| good	29.692 \| good	0.697 \| good	0.867 \| good	0.131 \| good
2026-09-28T08:00:00.000Z	28 \| good	1.807 \| good	4.554 \| good	29.824 \| good	0.697 \| good	0.565 \| good	0.131 \| good
2026-09-28T09:00:00.000Z	27 \| good	1.506 \| good	6.873 \| good	28.553 \| good	0.753 \| good	0.678 \| good	0.131 \| good
2026-09-28T10:00:00.000Z	26 \| good	1.129 \| good	4.484 \| good	28.462 \| good	0.671 \| good	1.046 \| good	0.131 \| good
2026-09-28T11:00:00.000Z	26 \| good	1.07 \| good	3.568 \| good	27.926 \| good	0.697 \| good	1.526 \| good	0.142 \| good
2026-09-28T12:00:00.000Z	26 \| good	0.903 \| good	4.991 \| good	28.158 \| good	0.603 \| good	1.855 \| good	0.142 \| good
2026-09-28T13:00:00.000Z	24 \| good	0.774 \| good	3.828 \| good	26.232 \| good	0.603 \| good	1.484 \| good	0.142 \| good
2026-09-28T14:00:00.000Z	25 \| good	0.797 \| good	3.358 \| good	26.847 \| good	0.77 \| good	1.431 \| good	0.164 \| good
2026-09-28T15:00:00.000Z	24 \| good	0.84 \| good	2.215 \| good	26.123 \| good	0.679 \| good	1.326 \| good	0.164 \| good
2026-09-28T16:00:00.000Z	23 \| good	0.708 \| good	2.495 \| good	24.944 \| good	0.694 \| good	1.108 \| good	0.152 \| good
2026-09-28T17:00:00.000Z	23 \| good	0.567 \| good	1.916 \| good	24.526 \| good	0.698 \| good	1.275 \| good	0.152 \| good
2026-09-28T18:00:00.000Z	22 \| good	0.59 \| good	2.208 \| good	23.894 \| good	0.697 \| good	1.377 \| good	0.152 \| good
2026-09-28T19:00:00.000Z	22 \| good	0.553 \| good	2.773 \| good	24.227 \| good	0.675 \| good	1.695 \| good	0.164 \| good
2026-09-28T20:00:00.000Z	20 \| good	0.583 \| good	3.232 \| good	21.598 \| good	0.715 \| good	2.726 \| good	0.164 \| good
2026-09-28T21:00:00.000Z	19 \| good	0.622 \| good	2.816 \| good	21.324 \| good	0.601 \| good	1.712 \| good	0.164 \| good
2026-09-28T22:00:00.000Z	18 \| good	0.593 \| good	2.779 \| good	19.025 \| good	0.698 \| good	1.89 \| good	0.164 \| good
2026-09-28T22:00:00.000Z	19 \| good	0.622 \| good	2.816 \| good	21.324 \| good	0.601 \| good	1.712 \| good	0.164 \| good
2026-09-28T23:00:00.000Z	23 \| good	1.534 \| good	6.265 \| good	25.019 \| good	0.174 \| good	2.104 \| good	0.147 \| good
2026-09-29T00:00:00.000Z	21 \| good	2.262 \| good	9.417 \| good	23.425 \| good	0.189 \| good	2.171 \| good	0.147 \| good
2026-09-29T01:00:00.000Z	20 \| good	2.385 \| good	9.919 \| good	21.835 \| good	0.202 \| good	2.249 \| good	0.148 \| good
2026-09-29T02:00:00.000Z	19 \| good	2.484 \| good	10.054 \| good	20.982 \| good	0.214 \| good	2.238 \| good	0.148 \| good
2026-09-29T03:00:00.000Z	19 \| good	2.591 \| good	10.527 \| good	20.794 \| good	0.217 \| good	2.196 \| good	0.148 \| good
2026-09-29T04:00:00.000Z	19 \| good	2.399 \| good	9.719 \| good	20.911 \| good	0.206 \| good	1.984 \| good	0.146 \| good
2026-09-29T05:00:00.000Z	19 \| good	2.395 \| good	9.768 \| good	20.667 \| good	0.195 \| good	1.797 \| good	0.145 \| good
2026-09-29T06:00:00.000Z	19 \| good	2.607 \| good	10.582 \| good	21.116 \| good	0.184 \| good	1.668 \| good	0.144 \| good
2026-09-29T07:00:00.000Z	19 \| good	3.026 \| good	12.566 \| good	19.888 \| good	0.174 \| good	1.584 \| good	0.143 \| good
2026-09-29T08:00:00.000Z	16 \| good	3.1 \| good	13.046 \| good	17.428 \| good	0.164 \| good	1.534 \| good	0.143 \| good
2026-09-29T09:00:00.000Z	22 \| good	3.503 \| good	15.539 \| good	14.849 \| good	0.153 \| good	1.513 \| good	0.143 \| good
2026-09-29T10:00:00.000Z	22 \| good	3.74 \| good	16.09 \| good	12.745 \| good	0.147 \| good	1.574 \| good	0.144 \| good
2026-09-29T11:00:00.000Z	22 \| good	3.648 \| good	16.002 \| good	12.446 \| good	0.159 \| good	2.032 \| good	0.15 \| good
2026-09-29T12:00:00.000Z	16 \| good	3.346 \| good	14.673 \| good	15.639 \| good	0.173 \| good	2.41 \| good	0.159 \| good
2026-09-29T13:00:00.000Z	19 \| good	2.962 \| good	12.098 \| good	21.219 \| good	0.178 \| good	2.082 \| good	0.161 \| good
2026-09-29T14:00:00.000Z	23 \| good	2.805 \| good	11.468 \| good	24.836 \| good	0.18 \| good	1.533 \| good	0.157 \| good
2026-09-29T15:00:00.000Z	24 \| good	2.928 \| good	12.012 \| good	26.252 \| good	0.186 \| good	1.135 \| good	0.151 \| good
2026-09-29T16:00:00.000Z	26 \| good	3.083 \| good	12.937 \| good	27.88 \| good	0.2 \| good	0.964 \| good	0.147 \| good
2026-09-29T17:00:00.000Z	26 \| good	3.041 \| good	12.597 \| good	28.45 \| good	0.213 \| good	0.921 \| good	0.146 \| good
2026-09-29T18:00:00.000Z	29 \| good	3.263 \| good	14.416 \| good	30.769 \| good	0.229 \| good	0.927 \| good	0.147 \| good
2026-09-29T19:00:00.000Z	29 \| good	3.409 \| good	15.163 \| good	30.915 \| good	0.247 \| good	0.996 \| good	0.149 \| good
2026-09-29T20:00:00.000Z	28 \| good	3.368 \| good	14.903 \| good	29.923 \| good	0.268 \| good	1.129 \| good	0.152 \| good
2026-09-29T21:00:00.000Z	27 \| good	3.007 \| good	12.013 \| good	28.543 \| good	0.286 \| good	1.396 \| good	0.155 \| good
2026-09-29T22:00:00.000Z	24 \| good	3.097 \| good	13.253 \| good	25.587 \| good	0.311 \| good	2.112 \| good	0.162 \| good
2026-09-29T23:00:00.000Z	22 \| good	2.993 \| good	12 \| good	24.418 \| good	0.357 \| good	3.459 \| good	0.176 \| good
2026-09-30T00:00:00.000Z	25 \| good	3.893 \| good	17.005 \| good	27.069 \| good	0.405 \| good	3.975 \| good	0.181 \| good
2026-09-30T01:00:00.000Z	22 \| good	4.091 \| good	17.98 \| good	22.887 \| good	0.446 \| good	4.071 \| good	0.182 \| good
2026-09-30T02:00:00.000Z	27 \| good	4.693 \| good	20.317 \| good	20.23 \| good	0.479 \| good	4.119 \| good	0.184 \| good
2026-09-30T03:00:00.000Z	27 \| good	4.944 \| good	21.336 \| good	18.149 \| good	0.491 \| good	4.075 \| good	0.184 \| good
2026-09-30T04:00:00.000Z	27 \| good	4.989 \| good	21.554 \| good	16.966 \| good	0.48 \| good	3.829 \| good	0.183 \| good
2026-09-30T05:00:00.000Z	27 \| good	4.513 \| good	19.597 \| good	14.097 \| good	0.464 \| good	3.611 \| good	0.182 \| good
2026-09-30T06:00:00.000Z	27 \| good	4.512 \| good	19.728 \| good	14.325 \| good	0.449 \| good	3.57 \| good	0.182 \| good
2026-09-30T07:00:00.000Z	27 \| good	4.983 \| good	21.299 \| good	14.069 \| good	0.438 \| good	3.659 \| good	0.184 \| good
2026-09-30T08:00:00.000Z	27 \| good	4.794 \| good	20.719 \| good	13.077 \| good	0.437 \| good	3.899 \| good	0.186 \| good
2026-09-30T09:00:00.000Z	22 \| good	3.73 \| good	16.336 \| good	10.253 \| good	0.439 \| good	4.037 \| good	0.189 \| good
2026-09-30T10:00:00.000Z	27 \| good	4.542 \| good	19.88 \| good	10.013 \| good	0.444 \| good	4.181 \| good	0.191 \| good
2026-09-30T11:00:00.000Z	22 \| good	4.366 \| good	19.055 \| good	10.97 \| good	0.473 \| good	4.627 \| good	0.199 \| good
2026-09-30T12:00:00.000Z	27 \| good	4.539 \| good	19.577 \| good	12.85 \| good	0.485 \| good	4.166 \| good	0.204 \| good
2026-09-30T13:00:00.000Z	22 \| good	4.327 \| good	18.969 \| good	16.868 \| good	0.488 \| good	3.127 \| good	0.199 \| good
2026-09-30T14:00:00.000Z	27 \| good	4.703 \| good	20.601 \| good	23.115 \| good	0.466 \| good	1.954 \| good	0.186 \| good
2026-09-30T15:00:00.000Z	26 \| good	4.473 \| good	19.548 \| good	27.853 \| good	0.388 \| good	1.16 \| good	0.172 \| good
2026-09-30T16:00:00.000Z	29 \| good	4.592 \| good	20.084 \| good	31.487 \| good	0.334 \| good	0.866 \| good	0.164 \| good
2026-09-30T17:00:00.000Z	31 \| good	4.143 \| good	18.084 \| good	34.306 \| good	0.292 \| good	0.785 \| good	0.157 \| good
2026-09-30T18:00:00.000Z	31 \| good	3.441 \| good	14.726 \| good	34.07 \| good	0.274 \| good	0.778 \| good	0.154 \| good
2026-09-30T19:00:00.000Z	32 \| good	2.793 \| good	11.307 \| good	34.619 \| good	0.25 \| good	0.818 \| good	0.151 \| good
2026-09-30T20:00:00.000Z	30 \| good	2.626 \| good	10.819 \| good	32.181 \| good	0.248 \| good	1.051 \| good	0.151 \| good
2026-09-30T21:00:00.000Z	27 \| good	3.517 \| good	15.442 \| good	28.601 \| good	0.261 \| good	2.049 \| good	0.163 \| good
2026-09-30T22:00:00.000Z	24 \| good	2.753 \| good	11.261 \| good	25.778 \| good	0.32 \| good	4.776 \| good	0.198 \| good

Hooksett, New Hampshire live air quality index now

Major air pollutants in Hooksett, New Hampshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Air quality in nearby cities

Manchester, New Hampshire

Bedford, New Hampshire

Goffstown, New Hampshire

Concord, New Hampshire

Derry, New Hampshire

Merrimack, New Hampshire

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Frequently asked questions

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What is the current concentration of PM2.5 in Hooksett, New Hampshire?

What is the current concentration of PM10 in Hooksett, New Hampshire?

What is the current concentration of carbon monoxide (CO) in Hooksett, New Hampshire?

What is the current concentration of sulfur dioxide (SO2) in Hooksett, New Hampshire?

What is the current concentration of ozone (O3) in Hooksett, New Hampshire?

What is the current concentration of nitrogen dioxide (NO2) in Hooksett, New Hampshire?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Hooksett, New Hampshire?

What is the current concentration of PM₁₀ in Hooksett, New Hampshire?

What is the current concentration of sulfur dioxide (SO₂) in Hooksett, New Hampshire?

What is the current concentration of ozone (O₃) in Hooksett, New Hampshire?

What is the current concentration of nitrogen dioxide (NO₂) in Hooksett, New Hampshire?