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

The current PM10 concentration at Saffron Walden, Essex is 6.517 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 0.873 ppb.

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

The current ozone (O3) concentration at Saffron Walden, Essex is 27.882 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 5.342 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 3.032 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)

3.03 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

6.52 μg/m³

155

255

425

605+

Ozone (O₃)

27.88 ppb

201

201+

Sulfur Dioxide (SO₂)

0.87 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.34 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 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
2026-05-12T13:00:00.000Z	33 \| good	5.724 \| good	11.611 \| good	29.037 \| good	0.77 \| good	4.494 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	30 \| good	5.031 \| good	14.001 \| good	32.217 \| good	0.768 \| good	3.746 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	5.086 \| good	12.205 \| good	35.958 \| good	0.657 \| good	6.173 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	36 \| good	5.273 \| good	12.16 \| good	38.988 \| good	0.714 \| good	5.733 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	38 \| good	5.536 \| good	19.299 \| good	41.016 \| good	0.715 \| good	6.036 \| good	0.661 \| good
2026-05-12T18:00:00.000Z	40 \| good	4.533 \| good	22.936 \| good	42.97 \| good	0.715 \| good	5.512 \| good	0.661 \| good
2026-05-12T19:00:00.000Z	41 \| good	5.272 \| good	20.617 \| good	43.523 \| good	0.664 \| good	3.299 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	39 \| good	7.449 \| good	12.18 \| good	42.036 \| good	0.713 \| good	4.682 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	38 \| good	4.502 \| good	15.891 \| good	40.992 \| good	0.893 \| good	4.8 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	36 \| good	4.668 \| good	10.781 \| good	39.466 \| good	0.895 \| good	5.342 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	34 \| good	6.401 \| good	13.739 \| good	36.763 \| good	0.714 \| good	5.295 \| good	0.661 \| good
2026-05-13T00:00:00.000Z	38 \| good	6.668 \| good	10.106 \| good	35.951 \| good	0.711 \| good	7.282 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	34 \| good	5.378 \| good	11.447 \| good	36.64 \| good	0.61 \| good	3.957 \| good	0.661 \| good
2026-05-13T02:00:00.000Z	31 \| good	5.279 \| good	11.928 \| good	34.026 \| good	0.769 \| good	3.175 \| good	0.661 \| good
2026-05-13T03:00:00.000Z	32 \| good	4.405 \| good	13.264 \| good	35.153 \| good	0.714 \| good	4.029 \| good	0.661 \| good
2026-05-13T04:00:00.000Z	33 \| good	6.219 \| good	14.901 \| good	33.858 \| good	0.714 \| good	4.415 \| good	0.661 \| good
2026-05-13T05:00:00.000Z	28 \| good	5.207 \| good	16.169 \| good	29.767 \| good	0.824 \| good	3.097 \| good	0.661 \| good
2026-05-13T06:00:00.000Z	27 \| good	4.425 \| good	11.964 \| good	28.842 \| good	0.715 \| good	4.803 \| good	0.661 \| good
2026-05-13T07:00:00.000Z	27 \| good	4.612 \| good	12.617 \| good	28.732 \| good	0.869 \| good	7.231 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	33 \| good	6.177 \| good	15.593 \| good	29.493 \| good	0.824 \| good	7.563 \| good	0.661 \| good
2026-05-13T09:00:00.000Z	27 \| good	5.088 \| good	20.578 \| good	27.93 \| good	0.77 \| good	4.86 \| good	0.661 \| good
2026-05-13T10:00:00.000Z	33 \| good	6.391 \| good	15.517 \| good	28.686 \| good	0.771 \| good	4.764 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	33 \| good	5.842 \| good	19.641 \| good	28.705 \| good	0.873 \| good	3.317 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	33 \| good	5.95 \| good	17.18 \| good	27.882 \| good	0.817 \| good	5.017 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	33 \| good	5.797 \| good	15.883 \| good	28.986 \| good	1.035 \| good	5.199 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	33 \| good	5.79 \| good	13.666 \| good	31.634 \| good	0.87 \| good	5.214 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	31 \| good	5.316 \| good	14.148 \| good	33.883 \| good	0.871 \| good	5.46 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	32 \| good	5.286 \| good	10.559 \| good	34.825 \| good	1.04 \| good	5.592 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	31 \| good	5.299 \| good	10.336 \| good	33.497 \| good	0.824 \| good	7.005 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	31 \| good	5.27 \| good	9.21 \| good	33.597 \| good	0.827 \| good	3.834 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	31 \| good	5.231 \| good	9.574 \| good	33.202 \| good	0.916 \| good	3.391 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	33 \| good	5.775 \| good	9.426 \| good	31.641 \| good	0.922 \| good	3.606 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	29 \| good	5.349 \| good	9.494 \| good	31.028 \| good	0.932 \| good	4.019 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	28 \| good	4.311 \| good	9.55 \| good	30.059 \| good	0.768 \| good	6.433 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	26 \| good	4.458 \| good	8.888 \| good	28.382 \| good	0.768 \| good	6.201 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	27 \| good	4.686 \| good	8.231 \| good	28.572 \| good	0.828 \| good	7.107 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	26 \| good	4.393 \| good	10.923 \| good	27.819 \| good	0.827 \| good	4.958 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	27 \| good	4.558 \| good	13.568 \| good	24.112 \| good	0.832 \| good	3.286 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	4.056 \| good	13.375 \| good	23.829 \| good	0.832 \| good	3.72 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	3.994 \| good	9.352 \| good	22.106 \| good	0.827 \| good	3.897 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	24 \| good	4.099 \| good	8.415 \| good	26.003 \| good	0.829 \| good	4.705 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	22 \| good	4.06 \| good	9.412 \| good	21.169 \| good	0.821 \| good	5.521 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	20 \| good	3.427 \| good	8.05 \| good	21.644 \| good	0.818 \| good	6.325 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	20 \| good	3.265 \| good	7.031 \| good	22.332 \| good	0.82 \| good	6.098 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	23 \| good	2.937 \| good	10.896 \| good	24.604 \| good	0.872 \| good	5.738 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	24 \| good	2.562 \| good	8.457 \| good	26.057 \| good	0.819 \| good	4.281 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	26 \| good	3.294 \| good	7.408 \| good	28.078 \| good	1.04 \| good	3.701 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.032 \| good	6.517 \| good	27.882 \| good	0.873 \| good	5.342 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.032 \| good	6.517 \| good	27.882 \| good	0.873 \| good	5.342 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	39 \| good	4.198 \| good	7.724 \| good	41.596 \| good	0.118 \| good	1.122 \| good	0.112 \| good
2026-05-14T14:00:00.000Z	40 \| good	4.096 \| good	6.851 \| good	42.61 \| good	0.113 \| good	1.099 \| good	0.111 \| good
2026-05-14T15:00:00.000Z	41 \| good	3.707 \| good	6.242 \| good	43.948 \| good	0.108 \| good	1.153 \| good	0.112 \| good
2026-05-14T16:00:00.000Z	41 \| good	3.495 \| good	6.034 \| good	44.053 \| good	0.094 \| good	1.334 \| good	0.112 \| good
2026-05-14T17:00:00.000Z	41 \| good	3.726 \| good	6.373 \| good	43.662 \| good	0.115 \| good	1.507 \| good	0.113 \| good
2026-05-14T18:00:00.000Z	39 \| good	3.963 \| good	6.724 \| good	42.083 \| good	0.129 \| good	1.942 \| good	0.116 \| good
2026-05-14T19:00:00.000Z	33 \| good	4.73 \| good	6.889 \| good	35.655 \| good	0.19 \| good	3.072 \| good	0.121 \| good
2026-05-14T20:00:00.000Z	33 \| good	5.731 \| good	7.041 \| good	33.3 \| good	0.271 \| good	3.907 \| good	0.122 \| good
2026-05-14T21:00:00.000Z	33 \| good	6.172 \| good	7.256 \| good	30.881 \| good	0.316 \| good	4.479 \| good	0.123 \| good
2026-05-14T22:00:00.000Z	33 \| good	6.441 \| good	7.889 \| good	29.129 \| good	0.254 \| good	4.55 \| good	0.127 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.238 \| good	8.124 \| good	26.89 \| good	0.277 \| good	4.539 \| good	0.126 \| good
2026-05-15T00:00:00.000Z	33 \| good	6.32 \| good	7.969 \| good	24.316 \| good	0.267 \| good	4.228 \| good	0.122 \| good
2026-05-15T01:00:00.000Z	38 \| good	6.929 \| good	8.593 \| good	24.795 \| good	0.301 \| good	3.864 \| good	0.124 \| good
2026-05-15T02:00:00.000Z	38 \| good	7.422 \| good	9.028 \| good	25.036 \| good	0.528 \| good	3.4 \| good	0.127 \| good
2026-05-15T03:00:00.000Z	44 \| good	7.715 \| good	9.678 \| good	24.015 \| good	0.641 \| good	3.145 \| good	0.127 \| good
2026-05-15T04:00:00.000Z	44 \| good	7.62 \| good	10.923 \| good	24.415 \| good	0.593 \| good	3.305 \| good	0.13 \| good
2026-05-15T05:00:00.000Z	33 \| good	6.224 \| good	11.462 \| good	26.097 \| good	0.557 \| good	2.733 \| good	0.133 \| good
2026-05-15T06:00:00.000Z	27 \| good	5.136 \| good	9.579 \| good	28.344 \| good	0.446 \| good	2.217 \| good	0.124 \| good
2026-05-15T07:00:00.000Z	29 \| good	4.303 \| good	7.831 \| good	30.766 \| good	0.345 \| good	2.074 \| good	0.119 \| good
2026-05-15T08:00:00.000Z	29 \| good	3.69 \| good	6.957 \| good	31.432 \| good	0.341 \| good	1.969 \| good	0.118 \| good
2026-05-15T09:00:00.000Z	33 \| good	2.998 \| good	6.753 \| good	36.357 \| good	0.274 \| good	1.572 \| good	0.117 \| good
2026-05-15T10:00:00.000Z	37 \| good	3.022 \| good	6.176 \| good	39.916 \| good	0.229 \| good	1.312 \| good	0.116 \| good
2026-05-15T11:00:00.000Z	38 \| good	3.215 \| good	5.95 \| good	41.12 \| good	0.215 \| good	1.214 \| good	0.116 \| good
2026-05-15T12:00:00.000Z	39 \| good	3.406 \| good	6.34 \| good	42.172 \| good	0.193 \| good	1.07 \| good	0.116 \| good
2026-05-15T13:00:00.000Z	41 \| good	3.45 \| good	6.918 \| good	44.088 \| good	0.166 \| good	0.944 \| good	0.114 \| good
2026-05-15T14:00:00.000Z	42 \| good	3.573 \| good	7.293 \| good	44.517 \| good	0.171 \| good	0.965 \| good	0.115 \| good
2026-05-15T15:00:00.000Z	43 \| good	3.643 \| good	7.679 \| good	46.097 \| good	0.178 \| good	0.983 \| good	0.114 \| good
2026-05-15T16:00:00.000Z	44 \| good	4.009 \| good	7.304 \| good	47.352 \| good	0.174 \| good	1.076 \| good	0.114 \| good
2026-05-15T17:00:00.000Z	44 \| good	4.19 \| good	7.493 \| good	46.52 \| good	0.154 \| good	1.301 \| good	0.116 \| good
2026-05-15T18:00:00.000Z	41 \| good	4.151 \| good	7.281 \| good	43.675 \| good	0.135 \| good	1.517 \| good	0.117 \| good
2026-05-15T19:00:00.000Z	36 \| good	4.589 \| good	7.336 \| good	39.326 \| good	0.175 \| good	2.289 \| good	0.117 \| good
2026-05-15T20:00:00.000Z	32 \| good	4.849 \| good	8.035 \| good	35.338 \| good	0.21 \| good	3.089 \| good	0.12 \| good
2026-05-15T21:00:00.000Z	30 \| good	4.98 \| good	8.876 \| good	31.841 \| good	0.253 \| good	3.955 \| good	0.12 \| good
2026-05-15T22:00:00.000Z	28 \| good	5.16 \| good	8.817 \| good	30.018 \| good	0.251 \| good	3.895 \| good	0.12 \| good
2026-05-15T23:00:00.000Z	27 \| good	5.355 \| good	9.249 \| good	29.432 \| good	0.234 \| good	3.607 \| good	0.12 \| good
2026-05-16T00:00:00.000Z	33 \| good	5.657 \| good	9.954 \| good	27.97 \| good	0.207 \| good	3.541 \| good	0.12 \| good
2026-05-16T01:00:00.000Z	33 \| good	5.984 \| good	10.253 \| good	28.545 \| good	0.177 \| good	3.516 \| good	0.121 \| good
2026-05-16T02:00:00.000Z	33 \| good	6.415 \| good	10.071 \| good	26.577 \| good	0.158 \| good	3.592 \| good	0.123 \| good
2026-05-16T03:00:00.000Z	38 \| good	7.245 \| good	10.244 \| good	24.609 \| good	0.162 \| good	3.463 \| good	0.125 \| good
2026-05-16T04:00:00.000Z	44 \| good	7.735 \| good	10.811 \| good	24.861 \| good	0.171 \| good	3.267 \| good	0.123 \| good
2026-05-16T05:00:00.000Z	38 \| good	7.328 \| good	10.827 \| good	26.07 \| good	0.197 \| good	2.902 \| good	0.12 \| good
2026-05-16T06:00:00.000Z	49 \| good	8.769 \| good	11.144 \| good	29.825 \| good	0.29 \| good	3.366 \| good	0.125 \| good
2026-05-16T07:00:00.000Z	49 \| good	9.471 \| good	12.306 \| good	33.295 \| good	0.317 \| good	3.196 \| good	0.129 \| good
2026-05-16T08:00:00.000Z	49 \| good	8.659 \| good	12.126 \| good	35.054 \| good	0.247 \| good	2.223 \| good	0.12 \| good
2026-05-16T09:00:00.000Z	35 \| good	5.359 \| good	9.233 \| good	38.065 \| good	0.163 \| good	1.495 \| good	0.116 \| good
2026-05-16T10:00:00.000Z	41 \| good	3.662 \| good	6.934 \| good	43.971 \| good	0.121 \| good	1.084 \| good	0.113 \| good
2026-05-16T11:00:00.000Z	44 \| good	3.712 \| good	6.3 \| good	46.585 \| good	0.1 \| good	0.901 \| good	0.111 \| good
2026-05-16T12:00:00.000Z	44 \| good	2.92 \| good	5.668 \| good	46.779 \| good	0.088 \| good	0.758 \| good	0.109 \| good

Saffron Walden

Get reliable air quality data to drive your business

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

0.12ppm

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

Air quality levels in UK

Check live rankings of places in the UK affected by air pollution.

View Polluted Cities

Check live rankings of places in the UK with the cleanest air.

View Clean Cities

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 08:00:00 on 2026-05-13.

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 08:00:00 on 2026-05-14.

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

The current air quality in Saffron Walden, Essex is 26, 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 3.032 μg/m³.

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

The current PM₁₀ concentration at Saffron Walden, Essex is 6.517 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 0.108 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 0.873 ppb.

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

The current ozone (O₃) concentration at Saffron Walden, Essex is 27.882 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 5.342 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	33 \| good	5.724 \| good	11.611 \| good	29.037 \| good	0.77 \| good	4.494 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	30 \| good	5.031 \| good	14.001 \| good	32.217 \| good	0.768 \| good	3.746 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	5.086 \| good	12.205 \| good	35.958 \| good	0.657 \| good	6.173 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	36 \| good	5.273 \| good	12.16 \| good	38.988 \| good	0.714 \| good	5.733 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	38 \| good	5.536 \| good	19.299 \| good	41.016 \| good	0.715 \| good	6.036 \| good	0.661 \| good
2026-05-12T18:00:00.000Z	40 \| good	4.533 \| good	22.936 \| good	42.97 \| good	0.715 \| good	5.512 \| good	0.661 \| good
2026-05-12T19:00:00.000Z	41 \| good	5.272 \| good	20.617 \| good	43.523 \| good	0.664 \| good	3.299 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	39 \| good	7.449 \| good	12.18 \| good	42.036 \| good	0.713 \| good	4.682 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	38 \| good	4.502 \| good	15.891 \| good	40.992 \| good	0.893 \| good	4.8 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	36 \| good	4.668 \| good	10.781 \| good	39.466 \| good	0.895 \| good	5.342 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	34 \| good	6.401 \| good	13.739 \| good	36.763 \| good	0.714 \| good	5.295 \| good	0.661 \| good
2026-05-13T00:00:00.000Z	38 \| good	6.668 \| good	10.106 \| good	35.951 \| good	0.711 \| good	7.282 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	34 \| good	5.378 \| good	11.447 \| good	36.64 \| good	0.61 \| good	3.957 \| good	0.661 \| good
2026-05-13T02:00:00.000Z	31 \| good	5.279 \| good	11.928 \| good	34.026 \| good	0.769 \| good	3.175 \| good	0.661 \| good
2026-05-13T03:00:00.000Z	32 \| good	4.405 \| good	13.264 \| good	35.153 \| good	0.714 \| good	4.029 \| good	0.661 \| good
2026-05-13T04:00:00.000Z	33 \| good	6.219 \| good	14.901 \| good	33.858 \| good	0.714 \| good	4.415 \| good	0.661 \| good
2026-05-13T05:00:00.000Z	28 \| good	5.207 \| good	16.169 \| good	29.767 \| good	0.824 \| good	3.097 \| good	0.661 \| good
2026-05-13T06:00:00.000Z	27 \| good	4.425 \| good	11.964 \| good	28.842 \| good	0.715 \| good	4.803 \| good	0.661 \| good
2026-05-13T07:00:00.000Z	27 \| good	4.612 \| good	12.617 \| good	28.732 \| good	0.869 \| good	7.231 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	33 \| good	6.177 \| good	15.593 \| good	29.493 \| good	0.824 \| good	7.563 \| good	0.661 \| good
2026-05-13T09:00:00.000Z	27 \| good	5.088 \| good	20.578 \| good	27.93 \| good	0.77 \| good	4.86 \| good	0.661 \| good
2026-05-13T10:00:00.000Z	33 \| good	6.391 \| good	15.517 \| good	28.686 \| good	0.771 \| good	4.764 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	33 \| good	5.842 \| good	19.641 \| good	28.705 \| good	0.873 \| good	3.317 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	33 \| good	5.95 \| good	17.18 \| good	27.882 \| good	0.817 \| good	5.017 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	33 \| good	5.797 \| good	15.883 \| good	28.986 \| good	1.035 \| good	5.199 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	33 \| good	5.79 \| good	13.666 \| good	31.634 \| good	0.87 \| good	5.214 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	31 \| good	5.316 \| good	14.148 \| good	33.883 \| good	0.871 \| good	5.46 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	32 \| good	5.286 \| good	10.559 \| good	34.825 \| good	1.04 \| good	5.592 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	31 \| good	5.299 \| good	10.336 \| good	33.497 \| good	0.824 \| good	7.005 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	31 \| good	5.27 \| good	9.21 \| good	33.597 \| good	0.827 \| good	3.834 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	31 \| good	5.231 \| good	9.574 \| good	33.202 \| good	0.916 \| good	3.391 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	33 \| good	5.775 \| good	9.426 \| good	31.641 \| good	0.922 \| good	3.606 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	29 \| good	5.349 \| good	9.494 \| good	31.028 \| good	0.932 \| good	4.019 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	28 \| good	4.311 \| good	9.55 \| good	30.059 \| good	0.768 \| good	6.433 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	26 \| good	4.458 \| good	8.888 \| good	28.382 \| good	0.768 \| good	6.201 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	27 \| good	4.686 \| good	8.231 \| good	28.572 \| good	0.828 \| good	7.107 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	26 \| good	4.393 \| good	10.923 \| good	27.819 \| good	0.827 \| good	4.958 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	27 \| good	4.558 \| good	13.568 \| good	24.112 \| good	0.832 \| good	3.286 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	4.056 \| good	13.375 \| good	23.829 \| good	0.832 \| good	3.72 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	3.994 \| good	9.352 \| good	22.106 \| good	0.827 \| good	3.897 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	24 \| good	4.099 \| good	8.415 \| good	26.003 \| good	0.829 \| good	4.705 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	22 \| good	4.06 \| good	9.412 \| good	21.169 \| good	0.821 \| good	5.521 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	20 \| good	3.427 \| good	8.05 \| good	21.644 \| good	0.818 \| good	6.325 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	20 \| good	3.265 \| good	7.031 \| good	22.332 \| good	0.82 \| good	6.098 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	23 \| good	2.937 \| good	10.896 \| good	24.604 \| good	0.872 \| good	5.738 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	24 \| good	2.562 \| good	8.457 \| good	26.057 \| good	0.819 \| good	4.281 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	26 \| good	3.294 \| good	7.408 \| good	28.078 \| good	1.04 \| good	3.701 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.032 \| good	6.517 \| good	27.882 \| good	0.873 \| good	5.342 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.032 \| good	6.517 \| good	27.882 \| good	0.873 \| good	5.342 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	39 \| good	4.198 \| good	7.724 \| good	41.596 \| good	0.118 \| good	1.122 \| good	0.112 \| good
2026-05-14T14:00:00.000Z	40 \| good	4.096 \| good	6.851 \| good	42.61 \| good	0.113 \| good	1.099 \| good	0.111 \| good
2026-05-14T15:00:00.000Z	41 \| good	3.707 \| good	6.242 \| good	43.948 \| good	0.108 \| good	1.153 \| good	0.112 \| good
2026-05-14T16:00:00.000Z	41 \| good	3.495 \| good	6.034 \| good	44.053 \| good	0.094 \| good	1.334 \| good	0.112 \| good
2026-05-14T17:00:00.000Z	41 \| good	3.726 \| good	6.373 \| good	43.662 \| good	0.115 \| good	1.507 \| good	0.113 \| good
2026-05-14T18:00:00.000Z	39 \| good	3.963 \| good	6.724 \| good	42.083 \| good	0.129 \| good	1.942 \| good	0.116 \| good
2026-05-14T19:00:00.000Z	33 \| good	4.73 \| good	6.889 \| good	35.655 \| good	0.19 \| good	3.072 \| good	0.121 \| good
2026-05-14T20:00:00.000Z	33 \| good	5.731 \| good	7.041 \| good	33.3 \| good	0.271 \| good	3.907 \| good	0.122 \| good
2026-05-14T21:00:00.000Z	33 \| good	6.172 \| good	7.256 \| good	30.881 \| good	0.316 \| good	4.479 \| good	0.123 \| good
2026-05-14T22:00:00.000Z	33 \| good	6.441 \| good	7.889 \| good	29.129 \| good	0.254 \| good	4.55 \| good	0.127 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.238 \| good	8.124 \| good	26.89 \| good	0.277 \| good	4.539 \| good	0.126 \| good
2026-05-15T00:00:00.000Z	33 \| good	6.32 \| good	7.969 \| good	24.316 \| good	0.267 \| good	4.228 \| good	0.122 \| good
2026-05-15T01:00:00.000Z	38 \| good	6.929 \| good	8.593 \| good	24.795 \| good	0.301 \| good	3.864 \| good	0.124 \| good
2026-05-15T02:00:00.000Z	38 \| good	7.422 \| good	9.028 \| good	25.036 \| good	0.528 \| good	3.4 \| good	0.127 \| good
2026-05-15T03:00:00.000Z	44 \| good	7.715 \| good	9.678 \| good	24.015 \| good	0.641 \| good	3.145 \| good	0.127 \| good
2026-05-15T04:00:00.000Z	44 \| good	7.62 \| good	10.923 \| good	24.415 \| good	0.593 \| good	3.305 \| good	0.13 \| good
2026-05-15T05:00:00.000Z	33 \| good	6.224 \| good	11.462 \| good	26.097 \| good	0.557 \| good	2.733 \| good	0.133 \| good
2026-05-15T06:00:00.000Z	27 \| good	5.136 \| good	9.579 \| good	28.344 \| good	0.446 \| good	2.217 \| good	0.124 \| good
2026-05-15T07:00:00.000Z	29 \| good	4.303 \| good	7.831 \| good	30.766 \| good	0.345 \| good	2.074 \| good	0.119 \| good
2026-05-15T08:00:00.000Z	29 \| good	3.69 \| good	6.957 \| good	31.432 \| good	0.341 \| good	1.969 \| good	0.118 \| good
2026-05-15T09:00:00.000Z	33 \| good	2.998 \| good	6.753 \| good	36.357 \| good	0.274 \| good	1.572 \| good	0.117 \| good
2026-05-15T10:00:00.000Z	37 \| good	3.022 \| good	6.176 \| good	39.916 \| good	0.229 \| good	1.312 \| good	0.116 \| good
2026-05-15T11:00:00.000Z	38 \| good	3.215 \| good	5.95 \| good	41.12 \| good	0.215 \| good	1.214 \| good	0.116 \| good
2026-05-15T12:00:00.000Z	39 \| good	3.406 \| good	6.34 \| good	42.172 \| good	0.193 \| good	1.07 \| good	0.116 \| good
2026-05-15T13:00:00.000Z	41 \| good	3.45 \| good	6.918 \| good	44.088 \| good	0.166 \| good	0.944 \| good	0.114 \| good
2026-05-15T14:00:00.000Z	42 \| good	3.573 \| good	7.293 \| good	44.517 \| good	0.171 \| good	0.965 \| good	0.115 \| good
2026-05-15T15:00:00.000Z	43 \| good	3.643 \| good	7.679 \| good	46.097 \| good	0.178 \| good	0.983 \| good	0.114 \| good
2026-05-15T16:00:00.000Z	44 \| good	4.009 \| good	7.304 \| good	47.352 \| good	0.174 \| good	1.076 \| good	0.114 \| good
2026-05-15T17:00:00.000Z	44 \| good	4.19 \| good	7.493 \| good	46.52 \| good	0.154 \| good	1.301 \| good	0.116 \| good
2026-05-15T18:00:00.000Z	41 \| good	4.151 \| good	7.281 \| good	43.675 \| good	0.135 \| good	1.517 \| good	0.117 \| good
2026-05-15T19:00:00.000Z	36 \| good	4.589 \| good	7.336 \| good	39.326 \| good	0.175 \| good	2.289 \| good	0.117 \| good
2026-05-15T20:00:00.000Z	32 \| good	4.849 \| good	8.035 \| good	35.338 \| good	0.21 \| good	3.089 \| good	0.12 \| good
2026-05-15T21:00:00.000Z	30 \| good	4.98 \| good	8.876 \| good	31.841 \| good	0.253 \| good	3.955 \| good	0.12 \| good
2026-05-15T22:00:00.000Z	28 \| good	5.16 \| good	8.817 \| good	30.018 \| good	0.251 \| good	3.895 \| good	0.12 \| good
2026-05-15T23:00:00.000Z	27 \| good	5.355 \| good	9.249 \| good	29.432 \| good	0.234 \| good	3.607 \| good	0.12 \| good
2026-05-16T00:00:00.000Z	33 \| good	5.657 \| good	9.954 \| good	27.97 \| good	0.207 \| good	3.541 \| good	0.12 \| good
2026-05-16T01:00:00.000Z	33 \| good	5.984 \| good	10.253 \| good	28.545 \| good	0.177 \| good	3.516 \| good	0.121 \| good
2026-05-16T02:00:00.000Z	33 \| good	6.415 \| good	10.071 \| good	26.577 \| good	0.158 \| good	3.592 \| good	0.123 \| good
2026-05-16T03:00:00.000Z	38 \| good	7.245 \| good	10.244 \| good	24.609 \| good	0.162 \| good	3.463 \| good	0.125 \| good
2026-05-16T04:00:00.000Z	44 \| good	7.735 \| good	10.811 \| good	24.861 \| good	0.171 \| good	3.267 \| good	0.123 \| good
2026-05-16T05:00:00.000Z	38 \| good	7.328 \| good	10.827 \| good	26.07 \| good	0.197 \| good	2.902 \| good	0.12 \| good
2026-05-16T06:00:00.000Z	49 \| good	8.769 \| good	11.144 \| good	29.825 \| good	0.29 \| good	3.366 \| good	0.125 \| good
2026-05-16T07:00:00.000Z	49 \| good	9.471 \| good	12.306 \| good	33.295 \| good	0.317 \| good	3.196 \| good	0.129 \| good
2026-05-16T08:00:00.000Z	49 \| good	8.659 \| good	12.126 \| good	35.054 \| good	0.247 \| good	2.223 \| good	0.12 \| good
2026-05-16T09:00:00.000Z	35 \| good	5.359 \| good	9.233 \| good	38.065 \| good	0.163 \| good	1.495 \| good	0.116 \| good
2026-05-16T10:00:00.000Z	41 \| good	3.662 \| good	6.934 \| good	43.971 \| good	0.121 \| good	1.084 \| good	0.113 \| good
2026-05-16T11:00:00.000Z	44 \| good	3.712 \| good	6.3 \| good	46.585 \| good	0.1 \| good	0.901 \| good	0.111 \| good
2026-05-16T12:00:00.000Z	44 \| good	2.92 \| good	5.668 \| good	46.779 \| good	0.088 \| good	0.758 \| good	0.109 \| 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)

Track live Saffron Walden, Essex air quality forecast and history

Get reliable air quality data to drive your business

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

How often is the air quality data for Saffron Walden, Essex updated?

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

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

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

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

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

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?