What is the current concentration of PM10 in Saffron Walden, Essex?

The current PM10 concentration at Saffron Walden, Essex is 13.297 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Saffron Walden, Essex?

The current sulfur dioxide (SO2) concentration at Saffron Walden, Essex is 0.581 ppb.

What is the current concentration of ozone (O3) in Saffron Walden, Essex?

The current ozone (O3) concentration at Saffron Walden, Essex is 36.833 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Saffron Walden, Essex?

The current nitrogen dioxide (NO2) concentration at Saffron Walden, Essex is 2.189 ppb.

Saffron Walden, Essex live air quality index now

Q: What is the current concentration of PM2.5 in Saffron Walden, Essex?

The current PM2.5 concentration at Saffron Walden, Essex is 3.798 μg/m3.

Stay updated with real-time air quality in Saffron Walden, Essex 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

Saffron Walden, Essex

Last updated: ... (Local time)

Major air pollutants in Saffron Walden, Essex

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.80 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.30 μg/m³

155

255

425

605+

Ozone (O₃)

36.83 ppb

201

201+

Sulfur Dioxide (SO₂)

0.58 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.19 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.03 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Saffron Walden, Essex

Get Live Pollen Counts

Saffron Walden, Essex

Scroll To Air Quality Map

Track live Saffron Walden, Essex air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	44 \| good	8.075 \| good	14.922 \| good	24.212 \| good	0.444 \| good	7.936 \| good	0.035 \| good
2026-03-28T00:00:00.000Z	38 \| good	6.618 \| good	18.12 \| good	25.188 \| good	0.432 \| good	5.708 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	52 \| moderate	9.598 \| good	14.138 \| good	24.65 \| good	0.607 \| good	5.427 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	38 \| good	6.91 \| good	31.02 \| good	25.813 \| good	0.558 \| good	3.378 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	38 \| good	6.674 \| good	14.091 \| good	26.713 \| good	0.559 \| good	3.097 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	49 \| good	8.971 \| good	12.946 \| good	27.695 \| good	0.382 \| good	2.862 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	52 \| moderate	9.557 \| good	21.417 \| good	26.479 \| good	0.382 \| good	2.515 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	5.572 \| good	11.322 \| good	28.042 \| good	0.382 \| good	2.801 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	44 \| good	7.585 \| good	19.111 \| good	27.33 \| good	0.597 \| good	2.265 \| good	0.025 \| good
2026-03-28T08:00:00.000Z	38 \| good	6.654 \| good	33.739 \| good	29.622 \| good	0.547 \| good	6.329 \| good	0.028 \| good
2026-03-28T09:00:00.000Z	33 \| good	6.203 \| good	17.9 \| good	29.996 \| good	0.817 \| good	5.01 \| good	0.031 \| good
2026-03-28T10:00:00.000Z	44 \| good	8.276 \| good	17.9 \| good	32.332 \| good	0.754 \| good	5.649 \| good	0.033 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.998 \| good	15.153 \| good	29.33 \| good	0.71 \| good	5.567 \| good	0.034 \| good
2026-03-28T12:00:00.000Z	38 \| good	6.697 \| good	17.397 \| good	31.755 \| good	0.583 \| good	5.573 \| good	0.033 \| good
2026-03-28T13:00:00.000Z	49 \| good	8.782 \| good	26 \| good	31.591 \| good	0.371 \| good	4.957 \| good	0.033 \| good
2026-03-28T14:00:00.000Z	33 \| good	6.42 \| good	26.71 \| good	32.872 \| good	0.729 \| good	5.934 \| good	0.031 \| good
2026-03-28T15:00:00.000Z	44 \| good	8.335 \| good	13.948 \| good	32.491 \| good	0.371 \| good	5.171 \| good	0.038 \| good
2026-03-28T16:00:00.000Z	44 \| good	7.894 \| good	13.968 \| good	32.664 \| good	0.76 \| good	4.646 \| good	0.033 \| good
2026-03-28T17:00:00.000Z	49 \| good	9.1 \| good	14.342 \| good	37.972 \| good	0.761 \| good	5.729 \| good	0.033 \| good
2026-03-28T18:00:00.000Z	44 \| good	8.425 \| good	12.233 \| good	39.062 \| good	0.712 \| good	4.393 \| good	0.033 \| good
2026-03-28T19:00:00.000Z	44 \| good	8.195 \| good	18.145 \| good	39.951 \| good	0.594 \| good	5.635 \| good	0.038 \| good
2026-03-28T20:00:00.000Z	44 \| good	7.688 \| good	11.237 \| good	39.909 \| good	0.546 \| good	6.618 \| good	0.039 \| good
2026-03-28T21:00:00.000Z	38 \| good	7.407 \| good	21.989 \| good	38.803 \| good	0.351 \| good	5.512 \| good	0.035 \| good
2026-03-28T22:00:00.000Z	38 \| good	7.151 \| good	14.107 \| good	35.75 \| good	0.372 \| good	4.046 \| good	0.036 \| good
2026-03-28T23:00:00.000Z	44 \| good	8.022 \| good	15.045 \| good	33.673 \| good	0.371 \| good	3.467 \| good	0.035 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.309 \| good	11.038 \| good	35.548 \| good	0.461 \| good	5.424 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	6.125 \| good	12.296 \| good	33.842 \| good	0.424 \| good	5.929 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	6.072 \| good	10.598 \| good	31.536 \| good	0.403 \| good	5.204 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.97 \| good	10.986 \| good	31.794 \| good	0.403 \| good	3.985 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	27 \| good	5.368 \| good	11.003 \| good	28.983 \| good	0.382 \| good	3.321 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	27 \| good	4.453 \| good	11.366 \| good	29.082 \| good	0.532 \| good	4.758 \| good	0.034 \| good
2026-03-29T06:00:00.000Z	27 \| good	5.395 \| good	13.223 \| good	27.857 \| good	0.349 \| good	3.252 \| good	0.033 \| good
2026-03-29T07:00:00.000Z	27 \| good	4.983 \| good	9.563 \| good	25.13 \| good	0.582 \| good	2.858 \| good	0.033 \| good
2026-03-29T08:00:00.000Z	25 \| good	4.452 \| good	11.702 \| good	26.859 \| good	0.552 \| good	4.197 \| good	0.035 \| good
2026-03-29T09:00:00.000Z	27 \| good	5.035 \| good	9.776 \| good	27.936 \| good	0.757 \| good	4.107 \| good	0.04 \| good
2026-03-29T10:00:00.000Z	27 \| good	4.231 \| good	10.93 \| good	28.661 \| good	0.557 \| good	4.448 \| good	0.039 \| good
2026-03-29T11:00:00.000Z	27 \| good	4.944 \| good	9.248 \| good	24.283 \| good	0.583 \| good	4.794 \| good	0.031 \| good
2026-03-29T12:00:00.000Z	22 \| good	4.219 \| good	8.392 \| good	23.878 \| good	0.528 \| good	3.727 \| good	0.03 \| good
2026-03-29T13:00:00.000Z	38 \| good	6.615 \| good	13.646 \| good	26.122 \| good	0.512 \| good	3.5 \| good	0.034 \| good
2026-03-29T14:00:00.000Z	33 \| good	6.041 \| good	13.987 \| good	27.661 \| good	0.356 \| good	4.781 \| good	0.032 \| good
2026-03-29T15:00:00.000Z	29 \| good	4.318 \| good	16.894 \| good	30.7 \| good	0.356 \| good	3.137 \| good	0.033 \| good
2026-03-29T16:00:00.000Z	29 \| good	4.427 \| good	10.029 \| good	31.157 \| good	0.357 \| good	2.989 \| good	0.033 \| good
2026-03-29T17:00:00.000Z	31 \| good	3.809 \| good	9.71 \| good	32.965 \| good	0.531 \| good	2.628 \| good	0.033 \| good
2026-03-29T18:00:00.000Z	31 \| good	5.461 \| good	9.384 \| good	34.395 \| good	0.536 \| good	2.588 \| good	0.032 \| good
2026-03-29T19:00:00.000Z	34 \| good	4.418 \| good	12.123 \| good	37.248 \| good	0.382 \| good	2.91 \| good	0.036 \| good
2026-03-29T20:00:00.000Z	34 \| good	4.132 \| good	9.679 \| good	36.566 \| good	0.582 \| good	2.257 \| good	0.046 \| good
2026-03-29T21:00:00.000Z	34 \| good	3.798 \| good	13.297 \| good	36.833 \| good	0.581 \| good	2.189 \| good	0.032 \| good
2026-03-29T22:00:00.000Z	34 \| good	3.798 \| good	13.297 \| good	36.833 \| good	0.581 \| good	2.189 \| good	0.032 \| good
2026-03-29T23:00:00.000Z	38 \| good	4.453 \| good	8.335 \| good	40.519 \| good	0.2 \| good	1.681 \| good	0.118 \| good
2026-03-30T00:00:00.000Z	37 \| good	4.919 \| good	9.479 \| good	39.541 \| good	0.183 \| good	1.681 \| good	0.117 \| good
2026-03-30T01:00:00.000Z	34 \| good	4.965 \| good	10.237 \| good	37.051 \| good	0.207 \| good	1.753 \| good	0.117 \| good
2026-03-30T02:00:00.000Z	33 \| good	5.173 \| good	10.943 \| good	36.323 \| good	0.224 \| good	1.757 \| good	0.118 \| good
2026-03-30T03:00:00.000Z	33 \| good	5.299 \| good	11.97 \| good	36.076 \| good	0.223 \| good	1.794 \| good	0.118 \| good
2026-03-30T04:00:00.000Z	33 \| good	5.457 \| good	11.71 \| good	35.906 \| good	0.219 \| good	1.657 \| good	0.115 \| good
2026-03-30T05:00:00.000Z	33 \| good	5.656 \| good	12.604 \| good	36.316 \| good	0.239 \| good	1.587 \| good	0.115 \| good
2026-03-30T06:00:00.000Z	33 \| good	5.876 \| good	13.08 \| good	36.494 \| good	0.284 \| good	1.823 \| good	0.116 \| good
2026-03-30T07:00:00.000Z	35 \| good	5.963 \| good	13.173 \| good	37.702 \| good	0.278 \| good	2.077 \| good	0.116 \| good
2026-03-30T08:00:00.000Z	37 \| good	5.933 \| good	11.676 \| good	40.347 \| good	0.244 \| good	2.009 \| good	0.117 \| good
2026-03-30T09:00:00.000Z	39 \| good	5.416 \| good	12.279 \| good	42.258 \| good	0.206 \| good	1.765 \| good	0.118 \| good
2026-03-30T10:00:00.000Z	41 \| good	5.263 \| good	12.948 \| good	43.921 \| good	0.193 \| good	1.651 \| good	0.119 \| good
2026-03-30T11:00:00.000Z	42 \| good	5.184 \| good	12.069 \| good	45.108 \| good	0.194 \| good	1.789 \| good	0.12 \| good
2026-03-30T12:00:00.000Z	43 \| good	5.022 \| good	11.38 \| good	46.384 \| good	0.188 \| good	1.526 \| good	0.122 \| good
2026-03-30T13:00:00.000Z	44 \| good	4.824 \| good	11.185 \| good	48.245 \| good	0.169 \| good	1.351 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	45 \| good	4.585 \| good	11.217 \| good	49.346 \| good	0.186 \| good	1.282 \| good	0.123 \| good
2026-03-30T15:00:00.000Z	46 \| good	4.402 \| good	10.662 \| good	49.71 \| good	0.18 \| good	1.228 \| good	0.122 \| good
2026-03-30T16:00:00.000Z	46 \| good	4.399 \| good	10.726 \| good	50.129 \| good	0.203 \| good	1.425 \| good	0.122 \| good
2026-03-30T17:00:00.000Z	46 \| good	4.57 \| good	10.665 \| good	49.72 \| good	0.22 \| good	1.762 \| good	0.124 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.724 \| good	10.365 \| good	47.824 \| good	0.245 \| good	2.51 \| good	0.127 \| good
2026-03-30T19:00:00.000Z	41 \| good	5.317 \| good	10.688 \| good	43.546 \| good	0.298 \| good	2.914 \| good	0.128 \| good
2026-03-30T20:00:00.000Z	38 \| good	6.142 \| good	11.415 \| good	41.078 \| good	0.325 \| good	3.218 \| good	0.129 \| good
2026-03-30T21:00:00.000Z	38 \| good	6.806 \| good	11.608 \| good	38.985 \| good	0.351 \| good	3.489 \| good	0.13 \| good
2026-03-30T22:00:00.000Z	38 \| good	7.4 \| good	11.261 \| good	39.377 \| good	0.351 \| good	3.521 \| good	0.131 \| good
2026-03-30T23:00:00.000Z	38 \| good	7.197 \| good	11.597 \| good	37.773 \| good	0.348 \| good	3.664 \| good	0.131 \| good
2026-03-31T00:00:00.000Z	44 \| good	7.532 \| good	12.423 \| good	35.794 \| good	0.359 \| good	3.567 \| good	0.131 \| good
2026-03-31T01:00:00.000Z	44 \| good	8.171 \| good	12.96 \| good	34.291 \| good	0.357 \| good	3.252 \| good	0.131 \| good
2026-03-31T02:00:00.000Z	49 \| good	8.706 \| good	13.325 \| good	33.271 \| good	0.346 \| good	3.014 \| good	0.131 \| good
2026-03-31T03:00:00.000Z	49 \| good	9.057 \| good	13.661 \| good	32.424 \| good	0.346 \| good	2.929 \| good	0.131 \| good
2026-03-31T04:00:00.000Z	49 \| good	9.188 \| good	14.008 \| good	30.647 \| good	0.273 \| good	2.84 \| good	0.132 \| good
2026-03-31T05:00:00.000Z	49 \| good	9.241 \| good	14.443 \| good	28.096 \| good	0.307 \| good	2.935 \| good	0.13 \| good
2026-03-31T06:00:00.000Z	49 \| good	9.163 \| good	14.306 \| good	28.139 \| good	0.277 \| good	3.39 \| good	0.131 \| good
2026-03-31T07:00:00.000Z	44 \| good	8.116 \| good	14.427 \| good	28.234 \| good	0.368 \| good	4.053 \| good	0.133 \| good
2026-03-31T08:00:00.000Z	38 \| good	7.17 \| good	14.088 \| good	27.546 \| good	0.466 \| good	4.823 \| good	0.137 \| good
2026-03-31T09:00:00.000Z	38 \| good	6.839 \| good	12.637 \| good	27.515 \| good	0.37 \| good	5.338 \| good	0.138 \| good
2026-03-31T10:00:00.000Z	33 \| good	6.472 \| good	12.158 \| good	26.265 \| good	0.397 \| good	5.052 \| good	0.137 \| good
2026-03-31T11:00:00.000Z	38 \| good	6.555 \| good	10.445 \| good	26.31 \| good	0.327 \| good	4.557 \| good	0.134 \| good
2026-03-31T12:00:00.000Z	27 \| good	4.992 \| good	9.253 \| good	28.605 \| good	0.23 \| good	3.536 \| good	0.129 \| good
2026-03-31T13:00:00.000Z	27 \| good	4.441 \| good	7.736 \| good	29.306 \| good	0.187 \| good	3.231 \| good	0.124 \| good
2026-03-31T14:00:00.000Z	28 \| good	5.341 \| good	6.591 \| good	30.292 \| good	0.18 \| good	2.869 \| good	0.122 \| good
2026-03-31T15:00:00.000Z	29 \| good	4.609 \| good	6.409 \| good	31.446 \| good	0.169 \| good	2.625 \| good	0.12 \| good
2026-03-31T16:00:00.000Z	29 \| good	4.488 \| good	6.9 \| good	30.544 \| good	0.171 \| good	2.778 \| good	0.12 \| good
2026-03-31T17:00:00.000Z	27 \| good	4.765 \| good	6.837 \| good	29.164 \| good	0.208 \| good	3.842 \| good	0.121 \| good
2026-03-31T18:00:00.000Z	27 \| good	5.279 \| good	7.695 \| good	26.136 \| good	0.312 \| good	5.137 \| good	0.126 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.315 \| good	8.646 \| good	23.634 \| good	0.41 \| good	6.814 \| good	0.131 \| good
2026-03-31T20:00:00.000Z	38 \| good	7.134 \| good	9.185 \| good	19.472 \| good	0.606 \| good	7.576 \| good	0.134 \| good
2026-03-31T21:00:00.000Z	44 \| good	7.811 \| good	9.898 \| good	16.939 \| good	0.727 \| good	8.009 \| good	0.139 \| good
2026-03-31T22:00:00.000Z	44 \| good	8.331 \| good	10.646 \| good	14.933 \| good	0.735 \| good	8.14 \| good	0.14 \| good

Saffron Walden

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Saffron Walden, Essex air quality map: Track AQI near you

0.02ppm

How accurate is Essex, UK air quality data?

Air quality data and pollutant measurements for Essex, UK 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 Saffron Walden, Essex updated?

The air quality for Saffron Walden, Essex is updated every hour.

When was the worst air quality at Saffron Walden, Essex in the last 24 hrs?

The worst air quality in Saffron Walden, Essex in the last 24 hours was observed at 11:00:00 on 2026-03-28.

When was the best air quality at Saffron Walden, Essex in the last 24 hrs?

In the last 24 hrs, the best air quality in Saffron Walden, Essex was observed at 12:00:00 on 2026-03-29.

What is the current air quality in Saffron Walden, Essex?

The current air quality in Saffron Walden, Essex is 34, categorized as Good based on real-time data.

What pollutant is the most common in Saffron Walden, Essex?

The most common pollutant in Saffron Walden, Essex is O3.

What should I do if the air quality in Saffron Walden, Essex is poor?

If the air quality in Saffron Walden, Essex is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Saffron Walden, Essex?

The current PM_2.5 concentration at Saffron Walden, Essex is 3.798 μg/m³.

What is the current concentration of PM₁₀ in Saffron Walden, Essex?

The current PM₁₀ concentration at Saffron Walden, Essex is 13.297 μg/m³.

What is the current concentration of carbon monoxide (CO) in Saffron Walden, Essex?

The current carbon monoxide (CO) concentration at Saffron Walden, Essex is 0.032 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Saffron Walden, Essex?

The current sulfur dioxide (SO₂) concentration at Saffron Walden, Essex is 0.581 ppb.

What is the current concentration of ozone (O₃) in Saffron Walden, Essex?

The current ozone (O₃) concentration at Saffron Walden, Essex is 36.833 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Saffron Walden, Essex?

The current nitrogen dioxide (NO₂) concentration at Saffron Walden, Essex is 2.189 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	44 \| good	8.075 \| good	14.922 \| good	24.212 \| good	0.444 \| good	7.936 \| good	0.035 \| good
2026-03-28T00:00:00.000Z	38 \| good	6.618 \| good	18.12 \| good	25.188 \| good	0.432 \| good	5.708 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	52 \| moderate	9.598 \| good	14.138 \| good	24.65 \| good	0.607 \| good	5.427 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	38 \| good	6.91 \| good	31.02 \| good	25.813 \| good	0.558 \| good	3.378 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	38 \| good	6.674 \| good	14.091 \| good	26.713 \| good	0.559 \| good	3.097 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	49 \| good	8.971 \| good	12.946 \| good	27.695 \| good	0.382 \| good	2.862 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	52 \| moderate	9.557 \| good	21.417 \| good	26.479 \| good	0.382 \| good	2.515 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	5.572 \| good	11.322 \| good	28.042 \| good	0.382 \| good	2.801 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	44 \| good	7.585 \| good	19.111 \| good	27.33 \| good	0.597 \| good	2.265 \| good	0.025 \| good
2026-03-28T08:00:00.000Z	38 \| good	6.654 \| good	33.739 \| good	29.622 \| good	0.547 \| good	6.329 \| good	0.028 \| good
2026-03-28T09:00:00.000Z	33 \| good	6.203 \| good	17.9 \| good	29.996 \| good	0.817 \| good	5.01 \| good	0.031 \| good
2026-03-28T10:00:00.000Z	44 \| good	8.276 \| good	17.9 \| good	32.332 \| good	0.754 \| good	5.649 \| good	0.033 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.998 \| good	15.153 \| good	29.33 \| good	0.71 \| good	5.567 \| good	0.034 \| good
2026-03-28T12:00:00.000Z	38 \| good	6.697 \| good	17.397 \| good	31.755 \| good	0.583 \| good	5.573 \| good	0.033 \| good
2026-03-28T13:00:00.000Z	49 \| good	8.782 \| good	26 \| good	31.591 \| good	0.371 \| good	4.957 \| good	0.033 \| good
2026-03-28T14:00:00.000Z	33 \| good	6.42 \| good	26.71 \| good	32.872 \| good	0.729 \| good	5.934 \| good	0.031 \| good
2026-03-28T15:00:00.000Z	44 \| good	8.335 \| good	13.948 \| good	32.491 \| good	0.371 \| good	5.171 \| good	0.038 \| good
2026-03-28T16:00:00.000Z	44 \| good	7.894 \| good	13.968 \| good	32.664 \| good	0.76 \| good	4.646 \| good	0.033 \| good
2026-03-28T17:00:00.000Z	49 \| good	9.1 \| good	14.342 \| good	37.972 \| good	0.761 \| good	5.729 \| good	0.033 \| good
2026-03-28T18:00:00.000Z	44 \| good	8.425 \| good	12.233 \| good	39.062 \| good	0.712 \| good	4.393 \| good	0.033 \| good
2026-03-28T19:00:00.000Z	44 \| good	8.195 \| good	18.145 \| good	39.951 \| good	0.594 \| good	5.635 \| good	0.038 \| good
2026-03-28T20:00:00.000Z	44 \| good	7.688 \| good	11.237 \| good	39.909 \| good	0.546 \| good	6.618 \| good	0.039 \| good
2026-03-28T21:00:00.000Z	38 \| good	7.407 \| good	21.989 \| good	38.803 \| good	0.351 \| good	5.512 \| good	0.035 \| good
2026-03-28T22:00:00.000Z	38 \| good	7.151 \| good	14.107 \| good	35.75 \| good	0.372 \| good	4.046 \| good	0.036 \| good
2026-03-28T23:00:00.000Z	44 \| good	8.022 \| good	15.045 \| good	33.673 \| good	0.371 \| good	3.467 \| good	0.035 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.309 \| good	11.038 \| good	35.548 \| good	0.461 \| good	5.424 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	6.125 \| good	12.296 \| good	33.842 \| good	0.424 \| good	5.929 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	6.072 \| good	10.598 \| good	31.536 \| good	0.403 \| good	5.204 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.97 \| good	10.986 \| good	31.794 \| good	0.403 \| good	3.985 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	27 \| good	5.368 \| good	11.003 \| good	28.983 \| good	0.382 \| good	3.321 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	27 \| good	4.453 \| good	11.366 \| good	29.082 \| good	0.532 \| good	4.758 \| good	0.034 \| good
2026-03-29T06:00:00.000Z	27 \| good	5.395 \| good	13.223 \| good	27.857 \| good	0.349 \| good	3.252 \| good	0.033 \| good
2026-03-29T07:00:00.000Z	27 \| good	4.983 \| good	9.563 \| good	25.13 \| good	0.582 \| good	2.858 \| good	0.033 \| good
2026-03-29T08:00:00.000Z	25 \| good	4.452 \| good	11.702 \| good	26.859 \| good	0.552 \| good	4.197 \| good	0.035 \| good
2026-03-29T09:00:00.000Z	27 \| good	5.035 \| good	9.776 \| good	27.936 \| good	0.757 \| good	4.107 \| good	0.04 \| good
2026-03-29T10:00:00.000Z	27 \| good	4.231 \| good	10.93 \| good	28.661 \| good	0.557 \| good	4.448 \| good	0.039 \| good
2026-03-29T11:00:00.000Z	27 \| good	4.944 \| good	9.248 \| good	24.283 \| good	0.583 \| good	4.794 \| good	0.031 \| good
2026-03-29T12:00:00.000Z	22 \| good	4.219 \| good	8.392 \| good	23.878 \| good	0.528 \| good	3.727 \| good	0.03 \| good
2026-03-29T13:00:00.000Z	38 \| good	6.615 \| good	13.646 \| good	26.122 \| good	0.512 \| good	3.5 \| good	0.034 \| good
2026-03-29T14:00:00.000Z	33 \| good	6.041 \| good	13.987 \| good	27.661 \| good	0.356 \| good	4.781 \| good	0.032 \| good
2026-03-29T15:00:00.000Z	29 \| good	4.318 \| good	16.894 \| good	30.7 \| good	0.356 \| good	3.137 \| good	0.033 \| good
2026-03-29T16:00:00.000Z	29 \| good	4.427 \| good	10.029 \| good	31.157 \| good	0.357 \| good	2.989 \| good	0.033 \| good
2026-03-29T17:00:00.000Z	31 \| good	3.809 \| good	9.71 \| good	32.965 \| good	0.531 \| good	2.628 \| good	0.033 \| good
2026-03-29T18:00:00.000Z	31 \| good	5.461 \| good	9.384 \| good	34.395 \| good	0.536 \| good	2.588 \| good	0.032 \| good
2026-03-29T19:00:00.000Z	34 \| good	4.418 \| good	12.123 \| good	37.248 \| good	0.382 \| good	2.91 \| good	0.036 \| good
2026-03-29T20:00:00.000Z	34 \| good	4.132 \| good	9.679 \| good	36.566 \| good	0.582 \| good	2.257 \| good	0.046 \| good
2026-03-29T21:00:00.000Z	34 \| good	3.798 \| good	13.297 \| good	36.833 \| good	0.581 \| good	2.189 \| good	0.032 \| good
2026-03-29T22:00:00.000Z	34 \| good	3.798 \| good	13.297 \| good	36.833 \| good	0.581 \| good	2.189 \| good	0.032 \| good
2026-03-29T23:00:00.000Z	38 \| good	4.453 \| good	8.335 \| good	40.519 \| good	0.2 \| good	1.681 \| good	0.118 \| good
2026-03-30T00:00:00.000Z	37 \| good	4.919 \| good	9.479 \| good	39.541 \| good	0.183 \| good	1.681 \| good	0.117 \| good
2026-03-30T01:00:00.000Z	34 \| good	4.965 \| good	10.237 \| good	37.051 \| good	0.207 \| good	1.753 \| good	0.117 \| good
2026-03-30T02:00:00.000Z	33 \| good	5.173 \| good	10.943 \| good	36.323 \| good	0.224 \| good	1.757 \| good	0.118 \| good
2026-03-30T03:00:00.000Z	33 \| good	5.299 \| good	11.97 \| good	36.076 \| good	0.223 \| good	1.794 \| good	0.118 \| good
2026-03-30T04:00:00.000Z	33 \| good	5.457 \| good	11.71 \| good	35.906 \| good	0.219 \| good	1.657 \| good	0.115 \| good
2026-03-30T05:00:00.000Z	33 \| good	5.656 \| good	12.604 \| good	36.316 \| good	0.239 \| good	1.587 \| good	0.115 \| good
2026-03-30T06:00:00.000Z	33 \| good	5.876 \| good	13.08 \| good	36.494 \| good	0.284 \| good	1.823 \| good	0.116 \| good
2026-03-30T07:00:00.000Z	35 \| good	5.963 \| good	13.173 \| good	37.702 \| good	0.278 \| good	2.077 \| good	0.116 \| good
2026-03-30T08:00:00.000Z	37 \| good	5.933 \| good	11.676 \| good	40.347 \| good	0.244 \| good	2.009 \| good	0.117 \| good
2026-03-30T09:00:00.000Z	39 \| good	5.416 \| good	12.279 \| good	42.258 \| good	0.206 \| good	1.765 \| good	0.118 \| good
2026-03-30T10:00:00.000Z	41 \| good	5.263 \| good	12.948 \| good	43.921 \| good	0.193 \| good	1.651 \| good	0.119 \| good
2026-03-30T11:00:00.000Z	42 \| good	5.184 \| good	12.069 \| good	45.108 \| good	0.194 \| good	1.789 \| good	0.12 \| good
2026-03-30T12:00:00.000Z	43 \| good	5.022 \| good	11.38 \| good	46.384 \| good	0.188 \| good	1.526 \| good	0.122 \| good
2026-03-30T13:00:00.000Z	44 \| good	4.824 \| good	11.185 \| good	48.245 \| good	0.169 \| good	1.351 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	45 \| good	4.585 \| good	11.217 \| good	49.346 \| good	0.186 \| good	1.282 \| good	0.123 \| good
2026-03-30T15:00:00.000Z	46 \| good	4.402 \| good	10.662 \| good	49.71 \| good	0.18 \| good	1.228 \| good	0.122 \| good
2026-03-30T16:00:00.000Z	46 \| good	4.399 \| good	10.726 \| good	50.129 \| good	0.203 \| good	1.425 \| good	0.122 \| good
2026-03-30T17:00:00.000Z	46 \| good	4.57 \| good	10.665 \| good	49.72 \| good	0.22 \| good	1.762 \| good	0.124 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.724 \| good	10.365 \| good	47.824 \| good	0.245 \| good	2.51 \| good	0.127 \| good
2026-03-30T19:00:00.000Z	41 \| good	5.317 \| good	10.688 \| good	43.546 \| good	0.298 \| good	2.914 \| good	0.128 \| good
2026-03-30T20:00:00.000Z	38 \| good	6.142 \| good	11.415 \| good	41.078 \| good	0.325 \| good	3.218 \| good	0.129 \| good
2026-03-30T21:00:00.000Z	38 \| good	6.806 \| good	11.608 \| good	38.985 \| good	0.351 \| good	3.489 \| good	0.13 \| good
2026-03-30T22:00:00.000Z	38 \| good	7.4 \| good	11.261 \| good	39.377 \| good	0.351 \| good	3.521 \| good	0.131 \| good
2026-03-30T23:00:00.000Z	38 \| good	7.197 \| good	11.597 \| good	37.773 \| good	0.348 \| good	3.664 \| good	0.131 \| good
2026-03-31T00:00:00.000Z	44 \| good	7.532 \| good	12.423 \| good	35.794 \| good	0.359 \| good	3.567 \| good	0.131 \| good
2026-03-31T01:00:00.000Z	44 \| good	8.171 \| good	12.96 \| good	34.291 \| good	0.357 \| good	3.252 \| good	0.131 \| good
2026-03-31T02:00:00.000Z	49 \| good	8.706 \| good	13.325 \| good	33.271 \| good	0.346 \| good	3.014 \| good	0.131 \| good
2026-03-31T03:00:00.000Z	49 \| good	9.057 \| good	13.661 \| good	32.424 \| good	0.346 \| good	2.929 \| good	0.131 \| good
2026-03-31T04:00:00.000Z	49 \| good	9.188 \| good	14.008 \| good	30.647 \| good	0.273 \| good	2.84 \| good	0.132 \| good
2026-03-31T05:00:00.000Z	49 \| good	9.241 \| good	14.443 \| good	28.096 \| good	0.307 \| good	2.935 \| good	0.13 \| good
2026-03-31T06:00:00.000Z	49 \| good	9.163 \| good	14.306 \| good	28.139 \| good	0.277 \| good	3.39 \| good	0.131 \| good
2026-03-31T07:00:00.000Z	44 \| good	8.116 \| good	14.427 \| good	28.234 \| good	0.368 \| good	4.053 \| good	0.133 \| good
2026-03-31T08:00:00.000Z	38 \| good	7.17 \| good	14.088 \| good	27.546 \| good	0.466 \| good	4.823 \| good	0.137 \| good
2026-03-31T09:00:00.000Z	38 \| good	6.839 \| good	12.637 \| good	27.515 \| good	0.37 \| good	5.338 \| good	0.138 \| good
2026-03-31T10:00:00.000Z	33 \| good	6.472 \| good	12.158 \| good	26.265 \| good	0.397 \| good	5.052 \| good	0.137 \| good
2026-03-31T11:00:00.000Z	38 \| good	6.555 \| good	10.445 \| good	26.31 \| good	0.327 \| good	4.557 \| good	0.134 \| good
2026-03-31T12:00:00.000Z	27 \| good	4.992 \| good	9.253 \| good	28.605 \| good	0.23 \| good	3.536 \| good	0.129 \| good
2026-03-31T13:00:00.000Z	27 \| good	4.441 \| good	7.736 \| good	29.306 \| good	0.187 \| good	3.231 \| good	0.124 \| good
2026-03-31T14:00:00.000Z	28 \| good	5.341 \| good	6.591 \| good	30.292 \| good	0.18 \| good	2.869 \| good	0.122 \| good
2026-03-31T15:00:00.000Z	29 \| good	4.609 \| good	6.409 \| good	31.446 \| good	0.169 \| good	2.625 \| good	0.12 \| good
2026-03-31T16:00:00.000Z	29 \| good	4.488 \| good	6.9 \| good	30.544 \| good	0.171 \| good	2.778 \| good	0.12 \| good
2026-03-31T17:00:00.000Z	27 \| good	4.765 \| good	6.837 \| good	29.164 \| good	0.208 \| good	3.842 \| good	0.121 \| good
2026-03-31T18:00:00.000Z	27 \| good	5.279 \| good	7.695 \| good	26.136 \| good	0.312 \| good	5.137 \| good	0.126 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.315 \| good	8.646 \| good	23.634 \| good	0.41 \| good	6.814 \| good	0.131 \| good
2026-03-31T20:00:00.000Z	38 \| good	7.134 \| good	9.185 \| good	19.472 \| good	0.606 \| good	7.576 \| good	0.134 \| good
2026-03-31T21:00:00.000Z	44 \| good	7.811 \| good	9.898 \| good	16.939 \| good	0.727 \| good	8.009 \| good	0.139 \| good
2026-03-31T22:00:00.000Z	44 \| good	8.331 \| good	10.646 \| good	14.933 \| good	0.735 \| good	8.14 \| good	0.14 \| good

Saffron Walden, Essex live air quality index now

Major air pollutants in Saffron Walden, Essex

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Saffron Walden, Essex air quality map: Track AQI near you

Air quality in nearby cities

Haverhill, Suffolk

Bishop's Stortford, Hertfordshire

Royston, Hertfordshire

Great Dunmow, Essex

Cambridge, Cambridgeshire

Sawbridgeworth, Hertfordshire

How accurate is Essex, UK air quality data?

Air quality levels in UK

Frequently asked questions

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What pollutant is the most common in Saffron Walden, Essex?

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What is the current concentration of PM2.5 in Saffron Walden, Essex?

What is the current concentration of PM10 in Saffron Walden, Essex?

What is the current concentration of carbon monoxide (CO) in Saffron Walden, Essex?

What is the current concentration of sulfur dioxide (SO2) in Saffron Walden, Essex?

What is the current concentration of ozone (O3) in Saffron Walden, Essex?

What is the current concentration of nitrogen dioxide (NO2) in Saffron Walden, Essex?

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 Saffron Walden, Essex?

What is the current concentration of PM₁₀ in Saffron Walden, Essex?

What is the current concentration of sulfur dioxide (SO₂) in Saffron Walden, Essex?

What is the current concentration of ozone (O₃) in Saffron Walden, Essex?

What is the current concentration of nitrogen dioxide (NO₂) in Saffron Walden, Essex?