What is the current concentration of PM10 in Watertown, Massachusetts?

The current PM10 concentration at Watertown, Massachusetts is 27.026 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Watertown, Massachusetts?

The current sulfur dioxide (SO2) concentration at Watertown, Massachusetts is 0.478 ppb.

What is the current concentration of ozone (O3) in Watertown, Massachusetts?

The current ozone (O3) concentration at Watertown, Massachusetts is 2.824 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Watertown, Massachusetts?

The current nitrogen dioxide (NO2) concentration at Watertown, Massachusetts is 18.993 ppb.

Watertown, Massachusetts live air quality index now

Q: What is the current concentration of PM2.5 in Watertown, Massachusetts?

The current PM2.5 concentration at Watertown, Massachusetts is 7.054 μg/m3.

Stay updated with real-time air quality in Watertown, Massachusetts 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

Watertown, Massachusetts

Last updated: ... (Local time)

Major air pollutants in Watertown, Massachusetts

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.29 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.96 μg/m³

155

255

425

605+

Ozone (O₃)

26.21 ppb

201

201+

Sulfur Dioxide (SO₂)

0.44 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.66 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.24 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Watertown, Massachusetts

Get Live Pollen Counts

Watertown, Massachusetts

Scroll To Air Quality Map

Track live Watertown, Massachusetts air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T04:00:00.000Z	20 \| good	2.165 \| good	8.913 \| good	22.041 \| good	0.406 \| good	5.865 \| good	0.222 \| good
2025-11-02T05:00:00.000Z	19 \| good	2.508 \| good	10.12 \| good	19.749 \| good	0.399 \| good	4.311 \| good	0.2 \| good
2025-11-02T06:00:00.000Z	20 \| good	2.762 \| good	10.411 \| good	22.246 \| good	0.348 \| good	3.502 \| good	0.189 \| good
2025-11-02T07:00:00.000Z	19 \| good	2.395 \| good	9.818 \| good	20.672 \| good	0.348 \| good	4.753 \| good	0.2 \| good
2025-11-02T08:00:00.000Z	18 \| good	2.008 \| good	10.236 \| good	18.657 \| good	0.348 \| good	5.001 \| good	0.2 \| good
2025-11-02T09:00:00.000Z	16 \| good	3.435 \| good	12.75 \| good	17.182 \| good	0.314 \| good	4.644 \| good	0.155 \| good
2025-11-02T10:00:00.000Z	18 \| good	3.332 \| good	13.904 \| good	18.633 \| good	0.241 \| good	5.16 \| good	0.179 \| good
2025-11-02T11:00:00.000Z	22 \| good	3.638 \| good	15.306 \| good	18.825 \| good	0.201 \| good	5.582 \| good	0.19 \| good
2025-11-02T12:00:00.000Z	14 \| good	1.887 \| good	7.513 \| good	14.807 \| good	0.277 \| good	6.02 \| good	0.234 \| good
2025-11-02T13:00:00.000Z	14 \| good	1.832 \| good	7.456 \| good	14.569 \| good	0.235 \| good	7.531 \| good	0.217 \| good
2025-11-02T14:00:00.000Z	18 \| good	1.737 \| good	7.456 \| good	18.731 \| good	0.275 \| good	5.248 \| good	0.199 \| good
2025-11-02T15:00:00.000Z	18 \| good	1.694 \| good	7.027 \| good	18.609 \| good	0.315 \| good	3.335 \| good	0.155 \| good
2025-11-02T16:00:00.000Z	19 \| good	1.638 \| good	7.353 \| good	21.106 \| good	0.355 \| good	2.482 \| good	0.155 \| good
2025-11-02T17:00:00.000Z	20 \| good	1.743 \| good	6.844 \| good	21.607 \| good	0.364 \| good	2.103 \| good	0.155 \| good
2025-11-02T18:00:00.000Z	22 \| good	1.749 \| good	6.11 \| good	23.808 \| good	0.373 \| good	2.328 \| good	0.155 \| good
2025-11-02T19:00:00.000Z	24 \| good	1.731 \| good	8.202 \| good	25.659 \| good	0.323 \| good	1.924 \| good	0.166 \| good
2025-11-02T20:00:00.000Z	25 \| good	1.872 \| good	7.345 \| good	26.539 \| good	0.28 \| good	1.737 \| good	0.166 \| good
2025-11-02T21:00:00.000Z	26 \| good	1.863 \| good	8.568 \| good	28.46 \| good	0.29 \| good	2.52 \| good	0.166 \| good
2025-11-02T22:00:00.000Z	26 \| good	2.064 \| good	8.066 \| good	28.369 \| good	0.306 \| good	3.954 \| good	0.166 \| good
2025-11-02T23:00:00.000Z	26 \| good	2.517 \| good	9.519 \| good	27.871 \| good	0.284 \| good	4.409 \| good	0.212 \| good
2025-11-03T00:00:00.000Z	24 \| good	3.093 \| good	9.477 \| good	25.961 \| good	0.322 \| good	8.886 \| good	0.277 \| good
2025-11-03T01:00:00.000Z	23 \| good	3.81 \| good	22.817 \| good	25.399 \| good	0.328 \| good	10.449 \| good	0.334 \| good
2025-11-03T02:00:00.000Z	22 \| good	4.417 \| good	17.482 \| good	22.733 \| good	0.29 \| good	12.992 \| good	0.447 \| good
2025-11-03T03:00:00.000Z	37 \| good	6.14 \| good	40.16 \| good	22.196 \| good	0.34 \| good	13.705 \| good	0.467 \| good
2025-11-03T04:00:00.000Z	38 \| good	6.42 \| good	41.379 \| good	14.549 \| good	0.352 \| good	16.61 \| good	0.599 \| good
2025-11-03T05:00:00.000Z	33 \| good	6.334 \| good	18.939 \| good	19.264 \| good	0.341 \| good	15.907 \| good	0.588 \| good
2025-11-03T06:00:00.000Z	44 \| good	8.072 \| good	34.177 \| good	19.726 \| good	0.462 \| good	17.871 \| good	0.577 \| good
2025-11-03T07:00:00.000Z	38 \| good	6.835 \| good	26.83 \| good	17.525 \| good	0.357 \| good	14.073 \| good	0.446 \| good
2025-11-03T08:00:00.000Z	38 \| good	6.552 \| good	22.163 \| good	6.744 \| good	0.424 \| good	15.815 \| good	0.4 \| good
2025-11-03T09:00:00.000Z	38 \| good	6.897 \| good	23.453 \| good	7.77 \| good	0.491 \| good	15.813 \| good	0.489 \| good
2025-11-03T10:00:00.000Z	38 \| good	7.097 \| good	20.746 \| good	9.277 \| good	0.626 \| good	14.822 \| good	0.533 \| good
2025-11-03T11:00:00.000Z	38 \| good	7.059 \| good	28.204 \| good	7.022 \| good	0.505 \| good	14.903 \| good	0.577 \| good
2025-11-03T12:00:00.000Z	49 \| good	8.764 \| good	32.097 \| good	6.156 \| good	0.669 \| good	15.831 \| good	0.667 \| good
2025-11-03T13:00:00.000Z	54 \| moderate	10.506 \| good	35.623 \| good	12.197 \| good	0.896 \| good	17.159 \| good	0.624 \| good
2025-11-03T14:00:00.000Z	52 \| moderate	9.887 \| good	41.398 \| good	12.037 \| good	1.291 \| good	16.967 \| good	0.812 \| good
2025-11-03T15:00:00.000Z	44 \| good	8.069 \| good	33.474 \| good	15.948 \| good	1.095 \| good	18.618 \| good	0.647 \| good
2025-11-03T16:00:00.000Z	56 \| moderate	11.631 \| good	47.945 \| good	17.537 \| good	0.841 \| good	16.525 \| good	0.513 \| good
2025-11-03T17:00:00.000Z	38 \| good	7.363 \| good	21.971 \| good	21.021 \| good	0.44 \| good	13.695 \| good	0.333 \| good
2025-11-03T18:00:00.000Z	38 \| good	6.824 \| good	28.402 \| good	22.841 \| good	0.429 \| good	11.261 \| good	0.244 \| good
2025-11-03T19:00:00.000Z	33 \| good	6.064 \| good	23.009 \| good	30.614 \| good	0.375 \| good	10.809 \| good	0.233 \| good
2025-11-03T20:00:00.000Z	33 \| good	5.642 \| good	18.262 \| good	27.097 \| good	0.362 \| good	12.349 \| good	0.276 \| good
2025-11-03T21:00:00.000Z	33 \| good	5.71 \| good	23.117 \| good	26.788 \| good	0.302 \| good	12.026 \| good	0.309 \| good
2025-11-03T22:00:00.000Z	28 \| good	4.587 \| good	21.202 \| good	29.652 \| good	0.412 \| good	11.427 \| good	0.278 \| good
2025-11-03T23:00:00.000Z	27 \| good	5.109 \| good	18.559 \| good	29.172 \| good	0.353 \| good	11.148 \| good	0.267 \| good
2025-11-04T00:00:00.000Z	30 \| good	5.236 \| good	18.462 \| good	31.7 \| good	0.453 \| good	11.089 \| good	0.288 \| good
2025-11-04T01:00:00.000Z	30 \| good	5.408 \| good	15.085 \| good	32.036 \| good	0.456 \| good	9.553 \| good	0.22 \| good
2025-11-04T02:00:00.000Z	31 \| good	5.219 \| good	20.131 \| good	32.951 \| good	0.466 \| good	8.26 \| good	0.22 \| good
2025-11-04T03:00:00.000Z	27 \| good	5.288 \| good	19.965 \| good	26.214 \| good	0.441 \| good	8.663 \| good	0.236 \| good
2025-11-03T10:00:00.000Z	44 \| good	8.363 \| good	37.007 \| good	10.018 \| good	1.661 \| good	17.924 \| good	0.25 \| good
2025-11-03T11:00:00.000Z	52 \| moderate	10.489 \| good	46.904 \| good	6.032 \| good	2.023 \| good	19.068 \| good	0.278 \| good
2025-11-03T12:00:00.000Z	60 \| moderate	14.342 \| fine	64.925 \| fine	8.647 \| good	2.385 \| good	20.211 \| good	0.306 \| good
2025-11-03T13:00:00.000Z	58 \| moderate	12.534 \| fine	57.012 \| fine	14.977 \| good	2.731 \| good	18.598 \| good	0.297 \| good
2025-11-03T14:00:00.000Z	52 \| moderate	9.695 \| good	42.989 \| good	21.109 \| good	3.077 \| good	16.985 \| good	0.288 \| good
2025-11-03T15:00:00.000Z	38 \| good	6.823 \| good	30.052 \| good	25.886 \| good	3.423 \| good	15.372 \| good	0.28 \| good
2025-11-03T16:00:00.000Z	33 \| good	6.14 \| good	27.015 \| good	28.848 \| good	2.83 \| good	12.918 \| good	0.242 \| good
2025-11-03T17:00:00.000Z	29 \| good	4.119 \| good	18.039 \| good	31.111 \| good	2.236 \| good	10.465 \| good	0.204 \| good
2025-11-03T18:00:00.000Z	28 \| good	3.526 \| good	15.984 \| good	29.764 \| good	1.643 \| good	8.011 \| good	0.166 \| good
2025-11-03T19:00:00.000Z	29 \| good	4.175 \| good	18.024 \| good	30.58 \| good	1.504 \| good	8.369 \| good	0.169 \| good
2025-11-03T20:00:00.000Z	26 \| good	4.236 \| good	18.972 \| good	28.439 \| good	1.366 \| good	8.728 \| good	0.173 \| good
2025-11-03T21:00:00.000Z	23 \| good	4.356 \| good	18.972 \| good	25.483 \| good	1.227 \| good	9.086 \| good	0.176 \| good
2025-11-03T22:00:00.000Z	27 \| good	4.631 \| good	19.967 \| good	21.897 \| good	1.14 \| good	9.191 \| good	0.175 \| good
2025-11-03T23:00:00.000Z	22 \| good	4.018 \| good	17.941 \| good	24.393 \| good	1.052 \| good	9.296 \| good	0.174 \| good
2025-11-04T00:00:00.000Z	22 \| good	4.46 \| good	19 \| good	21.949 \| good	0.965 \| good	9.401 \| good	0.173 \| good
2025-11-04T01:00:00.000Z	27 \| good	4.856 \| good	21 \| good	28.832 \| good	0.943 \| good	8.445 \| good	0.165 \| good
2025-11-04T02:00:00.000Z	35 \| good	4.136 \| good	17.979 \| good	37.942 \| good	0.922 \| good	7.49 \| good	0.158 \| good
2025-11-04T03:00:00.000Z	31 \| good	3.341 \| good	14.984 \| good	33.803 \| good	0.9 \| good	6.535 \| good	0.15 \| good
2025-11-04T04:00:00.000Z	30 \| good	3.163 \| good	13.987 \| good	31.804 \| good	0.961 \| good	5.362 \| good	0.148 \| good
2025-11-04T05:00:00.000Z	30 \| good	2.736 \| good	11.028 \| good	31.57 \| good	1.023 \| good	4.19 \| good	0.146 \| good
2025-11-04T06:00:00.000Z	30 \| good	1.298 \| good	5.016 \| good	31.601 \| good	1.085 \| good	3.017 \| good	0.144 \| good
2025-11-04T07:00:00.000Z	29 \| good	0.605 \| good	2 \| good	31.26 \| good	0.894 \| good	2.654 \| good	0.14 \| good
2025-11-04T08:00:00.000Z	30 \| good	0.423 \| good	1.948 \| good	31.795 \| good	0.703 \| good	2.29 \| good	0.135 \| good
2025-11-04T09:00:00.000Z	28 \| good	0.281 \| good	1 \| good	30.334 \| good	0.512 \| good	1.927 \| good	0.13 \| good
2025-11-04T10:00:00.000Z	28 \| good	0.392 \| good	1.04 \| good	30.273 \| good	0.487 \| good	2.468 \| good	0.133 \| good
2025-11-04T11:00:00.000Z	28 \| good	0.552 \| good	2 \| good	29.566 \| good	0.462 \| good	3.009 \| good	0.135 \| good
2025-11-04T12:00:00.000Z	27 \| good	0.94 \| good	3.955 \| good	28.904 \| good	0.437 \| good	3.55 \| good	0.137 \| good
2025-11-04T13:00:00.000Z	25 \| good	1.299 \| good	5.017 \| good	26.796 \| good	0.428 \| good	2.958 \| good	0.134 \| good
2025-11-04T14:00:00.000Z	23 \| good	1.436 \| good	5.977 \| good	25.003 \| good	0.42 \| good	2.367 \| good	0.132 \| good
2025-11-04T15:00:00.000Z	24 \| good	1.088 \| good	4.023 \| good	25.524 \| good	0.411 \| good	1.776 \| good	0.129 \| good
2025-11-04T16:00:00.000Z	24 \| good	1.075 \| good	3.99 \| good	26.366 \| good	0.444 \| good	1.648 \| good	0.127 \| good
2025-11-04T17:00:00.000Z	24 \| good	0.919 \| good	3.96 \| good	26.406 \| good	0.477 \| good	1.519 \| good	0.125 \| good
2025-11-04T18:00:00.000Z	25 \| good	0.716 \| good	2.946 \| good	26.629 \| good	0.51 \| good	1.391 \| good	0.124 \| good
2025-11-04T19:00:00.000Z	25 \| good	0.922 \| good	3.949 \| good	27.183 \| good	0.53 \| good	2.107 \| good	0.125 \| good
2025-11-04T20:00:00.000Z	24 \| good	1.676 \| good	6.972 \| good	25.726 \| good	0.55 \| good	2.823 \| good	0.126 \| good
2025-11-04T21:00:00.000Z	22 \| good	2.632 \| good	10.943 \| good	24.203 \| good	0.571 \| good	3.539 \| good	0.127 \| good
2025-11-04T22:00:00.000Z	22 \| good	3.915 \| good	16.981 \| good	23.165 \| good	0.619 \| good	4.408 \| good	0.132 \| good
2025-11-04T23:00:00.000Z	22 \| good	4.116 \| good	17.981 \| good	23.335 \| good	0.668 \| good	5.278 \| good	0.136 \| good
2025-11-05T00:00:00.000Z	22 \| good	3.878 \| good	16.984 \| good	23.458 \| good	0.716 \| good	6.147 \| good	0.14 \| good
2025-11-05T01:00:00.000Z	22 \| good	4.358 \| good	19.001 \| good	21.235 \| good	0.718 \| good	5.82 \| good	0.137 \| good
2025-11-05T02:00:00.000Z	22 \| good	4.333 \| good	18.988 \| good	22.548 \| good	0.719 \| good	5.492 \| good	0.135 \| good
2025-11-05T03:00:00.000Z	27 \| good	4.622 \| good	20.028 \| good	22.23 \| good	0.721 \| good	5.165 \| good	0.132 \| good
2025-11-05T04:00:00.000Z	27 \| good	4.709 \| good	20.948 \| good	20.983 \| good	0.756 \| good	4.876 \| good	0.13 \| good
2025-11-05T05:00:00.000Z	27 \| good	4.722 \| good	20.972 \| good	19.826 \| good	0.791 \| good	4.587 \| good	0.128 \| good
2025-11-05T06:00:00.000Z	27 \| good	3.006 \| good	3.263 \| good	28.983 \| good	0.828 \| good	4.312 \| good	0.126 \| good
2025-11-05T07:00:00.000Z	27 \| good	4.984 \| good	21.034 \| good	16.658 \| good	0.897 \| good	4.498 \| good	0.127 \| good
2025-11-05T08:00:00.000Z	27 \| good	5.455 \| good	22.98 \| good	16.112 \| good	0.968 \| good	4.699 \| good	0.128 \| good
2025-11-05T09:00:00.000Z	38 \| good	6.508 \| good	28.947 \| good	13.989 \| good	1.04 \| good	4.9 \| good	0.128 \| good

Watertown

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Watertown, Massachusetts air quality map: Track AQI near you

0.40ppm

How accurate is Massachusetts, USA air quality data?

Air quality data and pollutant measurements for Massachusetts, 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 Watertown, Massachusetts updated?

The air quality for Watertown, Massachusetts is updated every hour.

When was the worst air quality at Watertown, Massachusetts in the last 24 hrs?

The worst air quality in Watertown, Massachusetts in the last 24 hours was observed at 08:00:00 on 2025-11-03.

When was the best air quality at Watertown, Massachusetts in the last 24 hrs?

In the last 24 hrs, the best air quality in Watertown, Massachusetts was observed at 01:00:00 on 2025-11-02.

What is the current air quality in Watertown, Massachusetts?

The current air quality in Watertown, Massachusetts is 38, categorized as Good based on real-time data.

What pollutant is the most common in Watertown, Massachusetts?

The most common pollutant in Watertown, Massachusetts is PM2.5.

What should I do if the air quality in Watertown, Massachusetts is poor?

If the air quality in Watertown, Massachusetts is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Watertown, Massachusetts?

The current PM_2.5 concentration at Watertown, Massachusetts is 7.054 μg/m³.

What is the current concentration of PM₁₀ in Watertown, Massachusetts?

The current PM₁₀ concentration at Watertown, Massachusetts is 27.026 μg/m³.

What is the current concentration of carbon monoxide (CO) in Watertown, Massachusetts?

The current carbon monoxide (CO) concentration at Watertown, Massachusetts is 0.4 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Watertown, Massachusetts?

The current sulfur dioxide (SO₂) concentration at Watertown, Massachusetts is 0.478 ppb.

What is the current concentration of ozone (O₃) in Watertown, Massachusetts?

The current ozone (O₃) concentration at Watertown, Massachusetts is 2.824 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Watertown, Massachusetts?

The current nitrogen dioxide (NO₂) concentration at Watertown, Massachusetts is 18.993 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T04:00:00.000Z	20 \| good	2.165 \| good	8.913 \| good	22.041 \| good	0.406 \| good	5.865 \| good	0.222 \| good
2025-11-02T05:00:00.000Z	19 \| good	2.508 \| good	10.12 \| good	19.749 \| good	0.399 \| good	4.311 \| good	0.2 \| good
2025-11-02T06:00:00.000Z	20 \| good	2.762 \| good	10.411 \| good	22.246 \| good	0.348 \| good	3.502 \| good	0.189 \| good
2025-11-02T07:00:00.000Z	19 \| good	2.395 \| good	9.818 \| good	20.672 \| good	0.348 \| good	4.753 \| good	0.2 \| good
2025-11-02T08:00:00.000Z	18 \| good	2.008 \| good	10.236 \| good	18.657 \| good	0.348 \| good	5.001 \| good	0.2 \| good
2025-11-02T09:00:00.000Z	16 \| good	3.435 \| good	12.75 \| good	17.182 \| good	0.314 \| good	4.644 \| good	0.155 \| good
2025-11-02T10:00:00.000Z	18 \| good	3.332 \| good	13.904 \| good	18.633 \| good	0.241 \| good	5.16 \| good	0.179 \| good
2025-11-02T11:00:00.000Z	22 \| good	3.638 \| good	15.306 \| good	18.825 \| good	0.201 \| good	5.582 \| good	0.19 \| good
2025-11-02T12:00:00.000Z	14 \| good	1.887 \| good	7.513 \| good	14.807 \| good	0.277 \| good	6.02 \| good	0.234 \| good
2025-11-02T13:00:00.000Z	14 \| good	1.832 \| good	7.456 \| good	14.569 \| good	0.235 \| good	7.531 \| good	0.217 \| good
2025-11-02T14:00:00.000Z	18 \| good	1.737 \| good	7.456 \| good	18.731 \| good	0.275 \| good	5.248 \| good	0.199 \| good
2025-11-02T15:00:00.000Z	18 \| good	1.694 \| good	7.027 \| good	18.609 \| good	0.315 \| good	3.335 \| good	0.155 \| good
2025-11-02T16:00:00.000Z	19 \| good	1.638 \| good	7.353 \| good	21.106 \| good	0.355 \| good	2.482 \| good	0.155 \| good
2025-11-02T17:00:00.000Z	20 \| good	1.743 \| good	6.844 \| good	21.607 \| good	0.364 \| good	2.103 \| good	0.155 \| good
2025-11-02T18:00:00.000Z	22 \| good	1.749 \| good	6.11 \| good	23.808 \| good	0.373 \| good	2.328 \| good	0.155 \| good
2025-11-02T19:00:00.000Z	24 \| good	1.731 \| good	8.202 \| good	25.659 \| good	0.323 \| good	1.924 \| good	0.166 \| good
2025-11-02T20:00:00.000Z	25 \| good	1.872 \| good	7.345 \| good	26.539 \| good	0.28 \| good	1.737 \| good	0.166 \| good
2025-11-02T21:00:00.000Z	26 \| good	1.863 \| good	8.568 \| good	28.46 \| good	0.29 \| good	2.52 \| good	0.166 \| good
2025-11-02T22:00:00.000Z	26 \| good	2.064 \| good	8.066 \| good	28.369 \| good	0.306 \| good	3.954 \| good	0.166 \| good
2025-11-02T23:00:00.000Z	26 \| good	2.517 \| good	9.519 \| good	27.871 \| good	0.284 \| good	4.409 \| good	0.212 \| good
2025-11-03T00:00:00.000Z	24 \| good	3.093 \| good	9.477 \| good	25.961 \| good	0.322 \| good	8.886 \| good	0.277 \| good
2025-11-03T01:00:00.000Z	23 \| good	3.81 \| good	22.817 \| good	25.399 \| good	0.328 \| good	10.449 \| good	0.334 \| good
2025-11-03T02:00:00.000Z	22 \| good	4.417 \| good	17.482 \| good	22.733 \| good	0.29 \| good	12.992 \| good	0.447 \| good
2025-11-03T03:00:00.000Z	37 \| good	6.14 \| good	40.16 \| good	22.196 \| good	0.34 \| good	13.705 \| good	0.467 \| good
2025-11-03T04:00:00.000Z	38 \| good	6.42 \| good	41.379 \| good	14.549 \| good	0.352 \| good	16.61 \| good	0.599 \| good
2025-11-03T05:00:00.000Z	33 \| good	6.334 \| good	18.939 \| good	19.264 \| good	0.341 \| good	15.907 \| good	0.588 \| good
2025-11-03T06:00:00.000Z	44 \| good	8.072 \| good	34.177 \| good	19.726 \| good	0.462 \| good	17.871 \| good	0.577 \| good
2025-11-03T07:00:00.000Z	38 \| good	6.835 \| good	26.83 \| good	17.525 \| good	0.357 \| good	14.073 \| good	0.446 \| good
2025-11-03T08:00:00.000Z	38 \| good	6.552 \| good	22.163 \| good	6.744 \| good	0.424 \| good	15.815 \| good	0.4 \| good
2025-11-03T09:00:00.000Z	38 \| good	6.897 \| good	23.453 \| good	7.77 \| good	0.491 \| good	15.813 \| good	0.489 \| good
2025-11-03T10:00:00.000Z	38 \| good	7.097 \| good	20.746 \| good	9.277 \| good	0.626 \| good	14.822 \| good	0.533 \| good
2025-11-03T11:00:00.000Z	38 \| good	7.059 \| good	28.204 \| good	7.022 \| good	0.505 \| good	14.903 \| good	0.577 \| good
2025-11-03T12:00:00.000Z	49 \| good	8.764 \| good	32.097 \| good	6.156 \| good	0.669 \| good	15.831 \| good	0.667 \| good
2025-11-03T13:00:00.000Z	54 \| moderate	10.506 \| good	35.623 \| good	12.197 \| good	0.896 \| good	17.159 \| good	0.624 \| good
2025-11-03T14:00:00.000Z	52 \| moderate	9.887 \| good	41.398 \| good	12.037 \| good	1.291 \| good	16.967 \| good	0.812 \| good
2025-11-03T15:00:00.000Z	44 \| good	8.069 \| good	33.474 \| good	15.948 \| good	1.095 \| good	18.618 \| good	0.647 \| good
2025-11-03T16:00:00.000Z	56 \| moderate	11.631 \| good	47.945 \| good	17.537 \| good	0.841 \| good	16.525 \| good	0.513 \| good
2025-11-03T17:00:00.000Z	38 \| good	7.363 \| good	21.971 \| good	21.021 \| good	0.44 \| good	13.695 \| good	0.333 \| good
2025-11-03T18:00:00.000Z	38 \| good	6.824 \| good	28.402 \| good	22.841 \| good	0.429 \| good	11.261 \| good	0.244 \| good
2025-11-03T19:00:00.000Z	33 \| good	6.064 \| good	23.009 \| good	30.614 \| good	0.375 \| good	10.809 \| good	0.233 \| good
2025-11-03T20:00:00.000Z	33 \| good	5.642 \| good	18.262 \| good	27.097 \| good	0.362 \| good	12.349 \| good	0.276 \| good
2025-11-03T21:00:00.000Z	33 \| good	5.71 \| good	23.117 \| good	26.788 \| good	0.302 \| good	12.026 \| good	0.309 \| good
2025-11-03T22:00:00.000Z	28 \| good	4.587 \| good	21.202 \| good	29.652 \| good	0.412 \| good	11.427 \| good	0.278 \| good
2025-11-03T23:00:00.000Z	27 \| good	5.109 \| good	18.559 \| good	29.172 \| good	0.353 \| good	11.148 \| good	0.267 \| good
2025-11-04T00:00:00.000Z	30 \| good	5.236 \| good	18.462 \| good	31.7 \| good	0.453 \| good	11.089 \| good	0.288 \| good
2025-11-04T01:00:00.000Z	30 \| good	5.408 \| good	15.085 \| good	32.036 \| good	0.456 \| good	9.553 \| good	0.22 \| good
2025-11-04T02:00:00.000Z	31 \| good	5.219 \| good	20.131 \| good	32.951 \| good	0.466 \| good	8.26 \| good	0.22 \| good
2025-11-04T03:00:00.000Z	27 \| good	5.288 \| good	19.965 \| good	26.214 \| good	0.441 \| good	8.663 \| good	0.236 \| good
2025-11-03T10:00:00.000Z	44 \| good	8.363 \| good	37.007 \| good	10.018 \| good	1.661 \| good	17.924 \| good	0.25 \| good
2025-11-03T11:00:00.000Z	52 \| moderate	10.489 \| good	46.904 \| good	6.032 \| good	2.023 \| good	19.068 \| good	0.278 \| good
2025-11-03T12:00:00.000Z	60 \| moderate	14.342 \| fine	64.925 \| fine	8.647 \| good	2.385 \| good	20.211 \| good	0.306 \| good
2025-11-03T13:00:00.000Z	58 \| moderate	12.534 \| fine	57.012 \| fine	14.977 \| good	2.731 \| good	18.598 \| good	0.297 \| good
2025-11-03T14:00:00.000Z	52 \| moderate	9.695 \| good	42.989 \| good	21.109 \| good	3.077 \| good	16.985 \| good	0.288 \| good
2025-11-03T15:00:00.000Z	38 \| good	6.823 \| good	30.052 \| good	25.886 \| good	3.423 \| good	15.372 \| good	0.28 \| good
2025-11-03T16:00:00.000Z	33 \| good	6.14 \| good	27.015 \| good	28.848 \| good	2.83 \| good	12.918 \| good	0.242 \| good
2025-11-03T17:00:00.000Z	29 \| good	4.119 \| good	18.039 \| good	31.111 \| good	2.236 \| good	10.465 \| good	0.204 \| good
2025-11-03T18:00:00.000Z	28 \| good	3.526 \| good	15.984 \| good	29.764 \| good	1.643 \| good	8.011 \| good	0.166 \| good
2025-11-03T19:00:00.000Z	29 \| good	4.175 \| good	18.024 \| good	30.58 \| good	1.504 \| good	8.369 \| good	0.169 \| good
2025-11-03T20:00:00.000Z	26 \| good	4.236 \| good	18.972 \| good	28.439 \| good	1.366 \| good	8.728 \| good	0.173 \| good
2025-11-03T21:00:00.000Z	23 \| good	4.356 \| good	18.972 \| good	25.483 \| good	1.227 \| good	9.086 \| good	0.176 \| good
2025-11-03T22:00:00.000Z	27 \| good	4.631 \| good	19.967 \| good	21.897 \| good	1.14 \| good	9.191 \| good	0.175 \| good
2025-11-03T23:00:00.000Z	22 \| good	4.018 \| good	17.941 \| good	24.393 \| good	1.052 \| good	9.296 \| good	0.174 \| good
2025-11-04T00:00:00.000Z	22 \| good	4.46 \| good	19 \| good	21.949 \| good	0.965 \| good	9.401 \| good	0.173 \| good
2025-11-04T01:00:00.000Z	27 \| good	4.856 \| good	21 \| good	28.832 \| good	0.943 \| good	8.445 \| good	0.165 \| good
2025-11-04T02:00:00.000Z	35 \| good	4.136 \| good	17.979 \| good	37.942 \| good	0.922 \| good	7.49 \| good	0.158 \| good
2025-11-04T03:00:00.000Z	31 \| good	3.341 \| good	14.984 \| good	33.803 \| good	0.9 \| good	6.535 \| good	0.15 \| good
2025-11-04T04:00:00.000Z	30 \| good	3.163 \| good	13.987 \| good	31.804 \| good	0.961 \| good	5.362 \| good	0.148 \| good
2025-11-04T05:00:00.000Z	30 \| good	2.736 \| good	11.028 \| good	31.57 \| good	1.023 \| good	4.19 \| good	0.146 \| good
2025-11-04T06:00:00.000Z	30 \| good	1.298 \| good	5.016 \| good	31.601 \| good	1.085 \| good	3.017 \| good	0.144 \| good
2025-11-04T07:00:00.000Z	29 \| good	0.605 \| good	2 \| good	31.26 \| good	0.894 \| good	2.654 \| good	0.14 \| good
2025-11-04T08:00:00.000Z	30 \| good	0.423 \| good	1.948 \| good	31.795 \| good	0.703 \| good	2.29 \| good	0.135 \| good
2025-11-04T09:00:00.000Z	28 \| good	0.281 \| good	1 \| good	30.334 \| good	0.512 \| good	1.927 \| good	0.13 \| good
2025-11-04T10:00:00.000Z	28 \| good	0.392 \| good	1.04 \| good	30.273 \| good	0.487 \| good	2.468 \| good	0.133 \| good
2025-11-04T11:00:00.000Z	28 \| good	0.552 \| good	2 \| good	29.566 \| good	0.462 \| good	3.009 \| good	0.135 \| good
2025-11-04T12:00:00.000Z	27 \| good	0.94 \| good	3.955 \| good	28.904 \| good	0.437 \| good	3.55 \| good	0.137 \| good
2025-11-04T13:00:00.000Z	25 \| good	1.299 \| good	5.017 \| good	26.796 \| good	0.428 \| good	2.958 \| good	0.134 \| good
2025-11-04T14:00:00.000Z	23 \| good	1.436 \| good	5.977 \| good	25.003 \| good	0.42 \| good	2.367 \| good	0.132 \| good
2025-11-04T15:00:00.000Z	24 \| good	1.088 \| good	4.023 \| good	25.524 \| good	0.411 \| good	1.776 \| good	0.129 \| good
2025-11-04T16:00:00.000Z	24 \| good	1.075 \| good	3.99 \| good	26.366 \| good	0.444 \| good	1.648 \| good	0.127 \| good
2025-11-04T17:00:00.000Z	24 \| good	0.919 \| good	3.96 \| good	26.406 \| good	0.477 \| good	1.519 \| good	0.125 \| good
2025-11-04T18:00:00.000Z	25 \| good	0.716 \| good	2.946 \| good	26.629 \| good	0.51 \| good	1.391 \| good	0.124 \| good
2025-11-04T19:00:00.000Z	25 \| good	0.922 \| good	3.949 \| good	27.183 \| good	0.53 \| good	2.107 \| good	0.125 \| good
2025-11-04T20:00:00.000Z	24 \| good	1.676 \| good	6.972 \| good	25.726 \| good	0.55 \| good	2.823 \| good	0.126 \| good
2025-11-04T21:00:00.000Z	22 \| good	2.632 \| good	10.943 \| good	24.203 \| good	0.571 \| good	3.539 \| good	0.127 \| good
2025-11-04T22:00:00.000Z	22 \| good	3.915 \| good	16.981 \| good	23.165 \| good	0.619 \| good	4.408 \| good	0.132 \| good
2025-11-04T23:00:00.000Z	22 \| good	4.116 \| good	17.981 \| good	23.335 \| good	0.668 \| good	5.278 \| good	0.136 \| good
2025-11-05T00:00:00.000Z	22 \| good	3.878 \| good	16.984 \| good	23.458 \| good	0.716 \| good	6.147 \| good	0.14 \| good
2025-11-05T01:00:00.000Z	22 \| good	4.358 \| good	19.001 \| good	21.235 \| good	0.718 \| good	5.82 \| good	0.137 \| good
2025-11-05T02:00:00.000Z	22 \| good	4.333 \| good	18.988 \| good	22.548 \| good	0.719 \| good	5.492 \| good	0.135 \| good
2025-11-05T03:00:00.000Z	27 \| good	4.622 \| good	20.028 \| good	22.23 \| good	0.721 \| good	5.165 \| good	0.132 \| good
2025-11-05T04:00:00.000Z	27 \| good	4.709 \| good	20.948 \| good	20.983 \| good	0.756 \| good	4.876 \| good	0.13 \| good
2025-11-05T05:00:00.000Z	27 \| good	4.722 \| good	20.972 \| good	19.826 \| good	0.791 \| good	4.587 \| good	0.128 \| good
2025-11-05T06:00:00.000Z	27 \| good	3.006 \| good	3.263 \| good	28.983 \| good	0.828 \| good	4.312 \| good	0.126 \| good
2025-11-05T07:00:00.000Z	27 \| good	4.984 \| good	21.034 \| good	16.658 \| good	0.897 \| good	4.498 \| good	0.127 \| good
2025-11-05T08:00:00.000Z	27 \| good	5.455 \| good	22.98 \| good	16.112 \| good	0.968 \| good	4.699 \| good	0.128 \| good
2025-11-05T09:00:00.000Z	38 \| good	6.508 \| good	28.947 \| good	13.989 \| good	1.04 \| good	4.9 \| good	0.128 \| good

Watertown, Massachusetts live air quality index now

Major air pollutants in Watertown, Massachusetts

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

Belmont, Massachusetts

Newton, Massachusetts

Waltham, Massachusetts

Arlington, Massachusetts

Cambridge, Massachusetts

Brookline, Massachusetts

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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 Watertown, Massachusetts?

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