What is the current level of PM10 in Chesterlestreet, County Durham?

Chesterlestreet, County Durham currently has a PM10 concentration of 16.8 μg/m3.

What is the current level of sulfur dioxide (SO2) in Chesterlestreet, County Durham?

The current sulfur dioxide (SO2) concentration in Chesterlestreet, County Durham is 1.007 ppb.

What is the current level of ozone (O3) in Chesterlestreet, County Durham?

Chesterlestreet, County Durham currently has an ozone (O3) concentration of 22.271 ppm.

What is the current level of nitrogen dioxide (NO2) in Chesterlestreet, County Durham?

The current level of nitrogen dioxide (NO2) in Chesterlestreet, County Durham is 14.672 ppb.

Current air quality index in ChesterleStreet, County Durham today

Q: What is the PM2.5 concentration in Chesterlestreet, County Durham right now?

Chesterlestreet, County Durham currently has a PM2.5 concentration of 8.273 μg/m3.

Stay updated with real-time air quality in ChesterleStreet, County Durham 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

ChesterleStreet, County Durham

Last updated: ... (Local time)

Common air pollutants in ChesterleStreet, County Durham

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

8.27 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

16.80 μg/m³

155

255

425

605+

Ozone (O₃)

22.27 ppb

201

201+

Sulfur Dioxide (SO₂)

1.01 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.67 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

ChesterleStreet, County Durham

Get Live Pollen Counts

ChesterleStreet, County Durham

Scroll To Air Quality Map

Track live ChesterleStreet, County Durham air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T22:00:00.000Z	33 \| good	5.814 \| good	16.77 \| good	30.551 \| good	0.47 \| good	12.837 \| good	0.043 \| good
2025-12-26T23:00:00.000Z	33 \| good	5.754 \| good	15.146 \| good	28.641 \| good	0.382 \| good	11.895 \| good	0.043 \| good
2025-12-27T00:00:00.000Z	33 \| good	5.813 \| good	12.277 \| good	29.799 \| good	0.494 \| good	8.976 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	6.556 \| good	12.221 \| good	28.301 \| good	0.382 \| good	10.946 \| good	0.585 \| good
2025-12-27T02:00:00.000Z	27 \| good	5.241 \| good	12.237 \| good	24.754 \| good	0.382 \| good	7.136 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	25 \| good	4.227 \| good	11.847 \| good	27.432 \| good	0.439 \| good	6.215 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	23 \| good	3.823 \| good	10.595 \| good	25.079 \| good	0.642 \| good	4.981 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	25 \| good	3.238 \| good	10.185 \| good	27.111 \| good	0.641 \| good	3.39 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	25 \| good	4.17 \| good	10.716 \| good	27.132 \| good	0.382 \| good	3.329 \| good	0.034 \| good
2025-12-27T07:00:00.000Z	27 \| good	4.111 \| good	10.243 \| good	28.985 \| good	0.382 \| good	2.891 \| good	0.049 \| good
2025-12-27T08:00:00.000Z	26 \| good	4.222 \| good	10.241 \| good	27.66 \| good	0.382 \| good	4.334 \| good	0.061 \| good
2025-12-27T09:00:00.000Z	31 \| good	2.972 \| good	9.537 \| good	33.083 \| good	0.382 \| good	5.84 \| good	0.047 \| good
2025-12-27T10:00:00.000Z	28 \| good	3.169 \| good	13.964 \| good	30.407 \| good	0.382 \| good	6.167 \| good	0.035 \| good
2025-12-27T11:00:00.000Z	30 \| good	2.977 \| good	10.226 \| good	32.169 \| good	0.382 \| good	7.529 \| good	0.043 \| good
2025-12-27T12:00:00.000Z	24 \| good	2.909 \| good	13.019 \| good	25.822 \| good	0.494 \| good	9.511 \| good	0.044 \| good
2025-12-27T13:00:00.000Z	29 \| good	2.756 \| good	11.399 \| good	31.374 \| good	0.46 \| good	11.337 \| good	0.043 \| good
2025-12-27T14:00:00.000Z	25 \| good	3.027 \| good	10.484 \| good	27.072 \| good	0.468 \| good	10.712 \| good	0.061 \| good
2025-12-27T15:00:00.000Z	25 \| good	2.637 \| good	8.813 \| good	26.777 \| good	0.526 \| good	7.661 \| good	0.065 \| good
2025-12-27T16:00:00.000Z	24 \| good	2.627 \| good	12.157 \| good	25.853 \| good	0.382 \| good	10.629 \| good	0.083 \| good
2025-12-27T17:00:00.000Z	29 \| good	3.018 \| good	8.025 \| good	31.473 \| good	0.382 \| good	10.35 \| good	0.124 \| good
2025-12-27T18:00:00.000Z	25 \| good	3.839 \| good	8.943 \| good	26.83 \| good	0.382 \| good	10.564 \| good	0.16 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.81 \| good	8.666 \| good	31.02 \| good	0.465 \| good	10.105 \| good	0.237 \| good
2025-12-27T20:00:00.000Z	29 \| good	4.486 \| good	9.05 \| good	30.745 \| good	0.382 \| good	7.291 \| good	0.319 \| good
2025-12-27T21:00:00.000Z	33 \| good	5.571 \| good	8.768 \| good	29.136 \| good	0.382 \| good	5.586 \| good	0.239 \| good
2025-12-27T22:00:00.000Z	28 \| good	3.872 \| good	10.694 \| good	30.25 \| good	0.382 \| good	5.534 \| good	0.281 \| good
2025-12-27T23:00:00.000Z	30 \| good	4.259 \| good	10.499 \| good	31.526 \| good	0.382 \| good	5.543 \| good	0.211 \| good
2025-12-28T00:00:00.000Z	32 \| good	4.343 \| good	13.941 \| good	34.737 \| good	0.382 \| good	6.273 \| good	1.102 \| good
2025-12-28T01:00:00.000Z	32 \| good	4.079 \| good	7.825 \| good	34.729 \| good	0.529 \| good	4.383 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	33 \| good	3.643 \| good	9.688 \| good	35.948 \| good	0.445 \| good	4.042 \| good	1.239 \| good
2025-12-28T03:00:00.000Z	33 \| good	3.846 \| good	16.763 \| good	36.015 \| good	0.382 \| good	2.601 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	35 \| good	3.868 \| good	15.306 \| good	37.712 \| good	0.382 \| good	2.574 \| good	0.678 \| good
2025-12-28T05:00:00.000Z	36 \| good	3.867 \| good	18.214 \| good	38.603 \| good	0.382 \| good	2.589 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	35 \| good	4.258 \| good	14.358 \| good	38.469 \| good	0.382 \| good	2.954 \| good	0.066 \| good
2025-12-28T07:00:00.000Z	36 \| good	3.868 \| good	14.25 \| good	38.935 \| good	0.382 \| good	2.195 \| good	0.084 \| good
2025-12-28T08:00:00.000Z	31 \| good	4.821 \| good	16.29 \| good	33.178 \| good	0.445 \| good	3.953 \| good	0.124 \| good
2025-12-28T09:00:00.000Z	30 \| good	5.183 \| good	16.557 \| good	31.864 \| good	0.507 \| good	5.174 \| good	0.133 \| good
2025-12-28T10:00:00.000Z	30 \| good	5.306 \| good	16.287 \| good	31.628 \| good	0.511 \| good	5.871 \| good	0.14 \| good
2025-12-28T11:00:00.000Z	31 \| good	4.749 \| good	15.595 \| good	32.655 \| good	0.457 \| good	4.929 \| good	0.138 \| good
2025-12-28T12:00:00.000Z	30 \| good	3.915 \| good	10.91 \| good	32.331 \| good	0.411 \| good	4.707 \| good	0.134 \| good
2025-12-28T13:00:00.000Z	31 \| good	3.208 \| good	10.025 \| good	34.267 \| good	0.34 \| good	3.874 \| good	0.128 \| good
2025-12-28T14:00:00.000Z	32 \| good	3.419 \| good	9.182 \| good	34.841 \| good	0.305 \| good	3.945 \| good	0.131 \| good
2025-12-28T15:00:00.000Z	31 \| good	3.677 \| good	9.73 \| good	34.266 \| good	0.288 \| good	4.244 \| good	0.132 \| good
2025-12-28T16:00:00.000Z	32 \| good	3.959 \| good	9.867 \| good	34.729 \| good	0.296 \| good	4.68 \| good	0.137 \| good
2025-12-28T17:00:00.000Z	31 \| good	4.488 \| good	11.467 \| good	33.772 \| good	0.352 \| good	5.681 \| good	0.148 \| good
2025-12-28T18:00:00.000Z	33 \| good	6.227 \| good	13.139 \| good	31.093 \| good	0.474 \| good	6.641 \| good	0.163 \| good
2025-12-28T19:00:00.000Z	44 \| good	8.273 \| good	14.237 \| good	29.782 \| good	0.586 \| good	8.135 \| good	0.178 \| good
2025-12-28T20:00:00.000Z	49 \| good	9.391 \| good	15.125 \| good	28.279 \| good	0.619 \| good	9.061 \| good	0.178 \| good
2025-12-28T21:00:00.000Z	44 \| good	8.273 \| good	16.8 \| good	22.271 \| good	1.007 \| good	14.672 \| good	0.201 \| good
2025-12-28T22:00:00.000Z	49 \| good	9.096 \| good	14.901 \| good	25.661 \| good	0.623 \| good	7.214 \| good	0.161 \| good
2025-12-28T23:00:00.000Z	49 \| good	8.665 \| good	14.304 \| good	24.332 \| good	0.541 \| good	5.676 \| good	0.153 \| good
2025-12-29T00:00:00.000Z	38 \| good	6.766 \| good	12.826 \| good	25.219 \| good	0.434 \| good	4.162 \| good	0.139 \| good
2025-12-29T01:00:00.000Z	33 \| good	5.569 \| good	10.671 \| good	26.575 \| good	0.373 \| good	3.062 \| good	0.129 \| good
2025-12-29T02:00:00.000Z	27 \| good	4.933 \| good	9.418 \| good	28.836 \| good	0.327 \| good	2.448 \| good	0.125 \| good
2025-12-29T03:00:00.000Z	28 \| good	4.533 \| good	8.14 \| good	30.281 \| good	0.269 \| good	1.945 \| good	0.121 \| good
2025-12-29T04:00:00.000Z	29 \| good	3.727 \| good	7.752 \| good	30.964 \| good	0.246 \| good	1.732 \| good	0.118 \| good
2025-12-29T05:00:00.000Z	30 \| good	3.484 \| good	7.879 \| good	32.324 \| good	0.224 \| good	1.603 \| good	0.118 \| good
2025-12-29T06:00:00.000Z	31 \| good	3.827 \| good	7.652 \| good	32.597 \| good	0.243 \| good	1.817 \| good	0.119 \| good
2025-12-29T07:00:00.000Z	29 \| good	4.115 \| good	7.864 \| good	31.015 \| good	0.359 \| good	2.528 \| good	0.12 \| good
2025-12-29T08:00:00.000Z	27 \| good	4.631 \| good	8.173 \| good	28.726 \| good	0.479 \| good	3.876 \| good	0.126 \| good
2025-12-29T09:00:00.000Z	27 \| good	4.752 \| good	8.571 \| good	27.049 \| good	0.496 \| good	4.383 \| good	0.129 \| good
2025-12-29T10:00:00.000Z	27 \| good	4.82 \| good	9.117 \| good	28.679 \| good	0.509 \| good	4.231 \| good	0.13 \| good
2025-12-29T11:00:00.000Z	28 \| good	3.965 \| good	9.374 \| good	29.97 \| good	0.434 \| good	3.59 \| good	0.127 \| good
2025-12-29T12:00:00.000Z	27 \| good	3.68 \| good	9.147 \| good	29.335 \| good	0.367 \| good	3.254 \| good	0.124 \| good
2025-12-29T13:00:00.000Z	27 \| good	3.511 \| good	7.769 \| good	28.804 \| good	0.322 \| good	2.98 \| good	0.122 \| good
2025-12-29T14:00:00.000Z	26 \| good	3.319 \| good	7.559 \| good	28.32 \| good	0.302 \| good	3.232 \| good	0.123 \| good
2025-12-29T15:00:00.000Z	26 \| good	3.196 \| good	7.496 \| good	27.741 \| good	0.285 \| good	3.629 \| good	0.126 \| good
2025-12-29T16:00:00.000Z	25 \| good	3.953 \| good	7.244 \| good	27.342 \| good	0.282 \| good	4.172 \| good	0.13 \| good
2025-12-29T17:00:00.000Z	26 \| good	4.298 \| good	8.303 \| good	27.738 \| good	0.294 \| good	4.594 \| good	0.135 \| good
2025-12-29T18:00:00.000Z	27 \| good	4.503 \| good	9.354 \| good	29.393 \| good	0.299 \| good	4.384 \| good	0.136 \| good
2025-12-29T19:00:00.000Z	29 \| good	4.614 \| good	9.611 \| good	30.995 \| good	0.296 \| good	4.328 \| good	0.135 \| good
2025-12-29T20:00:00.000Z	30 \| good	4.406 \| good	8.864 \| good	31.622 \| good	0.323 \| good	3.813 \| good	0.131 \| good
2025-12-29T21:00:00.000Z	31 \| good	4.132 \| good	10.394 \| good	34.417 \| good	0.326 \| good	2.923 \| good	0.127 \| good
2025-12-29T22:00:00.000Z	32 \| good	4.018 \| good	10.23 \| good	34.659 \| good	0.318 \| good	2.507 \| good	0.127 \| good
2025-12-29T23:00:00.000Z	32 \| good	3.563 \| good	10.04 \| good	34.695 \| good	0.311 \| good	2.414 \| good	0.127 \| good
2025-12-30T00:00:00.000Z	33 \| good	3.231 \| good	10.253 \| good	36.164 \| good	0.265 \| good	2.032 \| good	0.125 \| good
2025-12-30T01:00:00.000Z	34 \| good	2.784 \| good	9.869 \| good	37.08 \| good	0.234 \| good	1.63 \| good	0.124 \| good
2025-12-30T02:00:00.000Z	34 \| good	2.634 \| good	8.833 \| good	36.538 \| good	0.205 \| good	1.396 \| good	0.123 \| good
2025-12-30T03:00:00.000Z	34 \| good	2.603 \| good	7.826 \| good	37.079 \| good	0.198 \| good	1.252 \| good	0.122 \| good
2025-12-30T04:00:00.000Z	34 \| good	2.472 \| good	7.141 \| good	37.356 \| good	0.207 \| good	1.125 \| good	0.122 \| good
2025-12-30T05:00:00.000Z	34 \| good	2.391 \| good	6.749 \| good	37.349 \| good	0.233 \| good	1.174 \| good	0.122 \| good
2025-12-30T06:00:00.000Z	34 \| good	2.524 \| good	7.158 \| good	37.149 \| good	0.325 \| good	1.594 \| good	0.123 \| good
2025-12-30T07:00:00.000Z	33 \| good	2.779 \| good	7.684 \| good	36.46 \| good	0.431 \| good	2.652 \| good	0.127 \| good
2025-12-30T08:00:00.000Z	31 \| good	3.153 \| good	7.954 \| good	34.187 \| good	0.555 \| good	4.467 \| good	0.133 \| good
2025-12-30T09:00:00.000Z	29 \| good	3.473 \| good	8.525 \| good	31.457 \| good	0.591 \| good	5.928 \| good	0.14 \| good
2025-12-30T10:00:00.000Z	29 \| good	3.738 \| good	8.368 \| good	30.516 \| good	0.597 \| good	5.823 \| good	0.141 \| good
2025-12-30T11:00:00.000Z	29 \| good	3.676 \| good	8.308 \| good	30.88 \| good	0.537 \| good	4.63 \| good	0.138 \| good
2025-12-30T12:00:00.000Z	30 \| good	3.399 \| good	8.069 \| good	32.135 \| good	0.422 \| good	3.15 \| good	0.132 \| good
2025-12-30T13:00:00.000Z	31 \| good	2.849 \| good	7.613 \| good	33.778 \| good	0.325 \| good	2.505 \| good	0.129 \| good
2025-12-30T14:00:00.000Z	32 \| good	2.54 \| good	6.822 \| good	34.55 \| good	0.326 \| good	2.574 \| good	0.13 \| good
2025-12-30T15:00:00.000Z	31 \| good	2.629 \| good	6.235 \| good	34.038 \| good	0.312 \| good	2.6 \| good	0.132 \| good
2025-12-30T16:00:00.000Z	29 \| good	3.257 \| good	7.199 \| good	30.587 \| good	0.333 \| good	3.158 \| good	0.135 \| good
2025-12-30T17:00:00.000Z	26 \| good	4.155 \| good	8.24 \| good	28.386 \| good	0.361 \| good	3.83 \| good	0.14 \| good
2025-12-30T18:00:00.000Z	27 \| good	5.283 \| good	9.111 \| good	27.737 \| good	0.384 \| good	4.483 \| good	0.148 \| good
2025-12-30T19:00:00.000Z	33 \| good	6.226 \| good	10.413 \| good	25.968 \| good	0.421 \| good	4.863 \| good	0.151 \| good
2025-12-30T20:00:00.000Z	38 \| good	6.523 \| good	10.961 \| good	23.53 \| good	0.464 \| good	4.619 \| good	0.147 \| good
2025-12-30T21:00:00.000Z	33 \| good	5.865 \| good	9.952 \| good	24.684 \| good	0.489 \| good	3.984 \| good	0.143 \| good

ChesterleStreet

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near ChesterleStreet, County Durham

0.18ppm

How accurate is County Durham, UK air quality data?

The air quality data for County Durham, UK is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable 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 frequently does the air quality data for Chesterlestreet, County Durham get updated?

Air quality updates for Chesterlestreet, County Durham are available every hour.

What time in the past 24 hours saw the poorest air quality in Chesterlestreet, County Durham?

Chesterlestreet, County Durham experienced its worst air quality at 08:00:00, 2025-12-28.

When was air quality in Chesterlestreet, County Durham the best over the past 24 hours?

The best air quality in Chesterlestreet, County Durham was observed at 10:00:00 on 2025-12-27.

What is the air quality in Chesterlestreet, County Durham right now?

The air quality in Chesterlestreet, County Durham right now is Good, with an AQI of 44.

What pollutant is most frequently found in Chesterlestreet, County Durham?

In Chesterlestreet, County Durham, PM2.5 is the most frequently found pollutant.

What can I do if the air quality in Chesterlestreet, County Durham is poor?

When air quality in Chesterlestreet, County Durham is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Chesterlestreet, County Durham right now?

Chesterlestreet, County Durham currently has a PM_2.5 concentration of 8.273 μg/m³.

What is the current level of PM₁₀ in Chesterlestreet, County Durham?

Chesterlestreet, County Durham currently has a PM₁₀ concentration of 16.8 μg/m³.

What is the current level of carbon monoxide (CO) in Chesterlestreet, County Durham?

The current carbon monoxide (CO) level in Chesterlestreet, County Durham is 0.201 ppm.

What is the current level of sulfur dioxide (SO₂) in Chesterlestreet, County Durham?

The current sulfur dioxide (SO₂) concentration in Chesterlestreet, County Durham is 1.007 ppb.

What is the current level of ozone (O₃) in Chesterlestreet, County Durham?

Chesterlestreet, County Durham currently has an ozone (O₃) concentration of 22.271 ppm.

What is the current level of nitrogen dioxide (NO₂) in Chesterlestreet, County Durham?

The current level of nitrogen dioxide (NO₂) in Chesterlestreet, County Durham is 14.672 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T22:00:00.000Z	33 \| good	5.814 \| good	16.77 \| good	30.551 \| good	0.47 \| good	12.837 \| good	0.043 \| good
2025-12-26T23:00:00.000Z	33 \| good	5.754 \| good	15.146 \| good	28.641 \| good	0.382 \| good	11.895 \| good	0.043 \| good
2025-12-27T00:00:00.000Z	33 \| good	5.813 \| good	12.277 \| good	29.799 \| good	0.494 \| good	8.976 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	6.556 \| good	12.221 \| good	28.301 \| good	0.382 \| good	10.946 \| good	0.585 \| good
2025-12-27T02:00:00.000Z	27 \| good	5.241 \| good	12.237 \| good	24.754 \| good	0.382 \| good	7.136 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	25 \| good	4.227 \| good	11.847 \| good	27.432 \| good	0.439 \| good	6.215 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	23 \| good	3.823 \| good	10.595 \| good	25.079 \| good	0.642 \| good	4.981 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	25 \| good	3.238 \| good	10.185 \| good	27.111 \| good	0.641 \| good	3.39 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	25 \| good	4.17 \| good	10.716 \| good	27.132 \| good	0.382 \| good	3.329 \| good	0.034 \| good
2025-12-27T07:00:00.000Z	27 \| good	4.111 \| good	10.243 \| good	28.985 \| good	0.382 \| good	2.891 \| good	0.049 \| good
2025-12-27T08:00:00.000Z	26 \| good	4.222 \| good	10.241 \| good	27.66 \| good	0.382 \| good	4.334 \| good	0.061 \| good
2025-12-27T09:00:00.000Z	31 \| good	2.972 \| good	9.537 \| good	33.083 \| good	0.382 \| good	5.84 \| good	0.047 \| good
2025-12-27T10:00:00.000Z	28 \| good	3.169 \| good	13.964 \| good	30.407 \| good	0.382 \| good	6.167 \| good	0.035 \| good
2025-12-27T11:00:00.000Z	30 \| good	2.977 \| good	10.226 \| good	32.169 \| good	0.382 \| good	7.529 \| good	0.043 \| good
2025-12-27T12:00:00.000Z	24 \| good	2.909 \| good	13.019 \| good	25.822 \| good	0.494 \| good	9.511 \| good	0.044 \| good
2025-12-27T13:00:00.000Z	29 \| good	2.756 \| good	11.399 \| good	31.374 \| good	0.46 \| good	11.337 \| good	0.043 \| good
2025-12-27T14:00:00.000Z	25 \| good	3.027 \| good	10.484 \| good	27.072 \| good	0.468 \| good	10.712 \| good	0.061 \| good
2025-12-27T15:00:00.000Z	25 \| good	2.637 \| good	8.813 \| good	26.777 \| good	0.526 \| good	7.661 \| good	0.065 \| good
2025-12-27T16:00:00.000Z	24 \| good	2.627 \| good	12.157 \| good	25.853 \| good	0.382 \| good	10.629 \| good	0.083 \| good
2025-12-27T17:00:00.000Z	29 \| good	3.018 \| good	8.025 \| good	31.473 \| good	0.382 \| good	10.35 \| good	0.124 \| good
2025-12-27T18:00:00.000Z	25 \| good	3.839 \| good	8.943 \| good	26.83 \| good	0.382 \| good	10.564 \| good	0.16 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.81 \| good	8.666 \| good	31.02 \| good	0.465 \| good	10.105 \| good	0.237 \| good
2025-12-27T20:00:00.000Z	29 \| good	4.486 \| good	9.05 \| good	30.745 \| good	0.382 \| good	7.291 \| good	0.319 \| good
2025-12-27T21:00:00.000Z	33 \| good	5.571 \| good	8.768 \| good	29.136 \| good	0.382 \| good	5.586 \| good	0.239 \| good
2025-12-27T22:00:00.000Z	28 \| good	3.872 \| good	10.694 \| good	30.25 \| good	0.382 \| good	5.534 \| good	0.281 \| good
2025-12-27T23:00:00.000Z	30 \| good	4.259 \| good	10.499 \| good	31.526 \| good	0.382 \| good	5.543 \| good	0.211 \| good
2025-12-28T00:00:00.000Z	32 \| good	4.343 \| good	13.941 \| good	34.737 \| good	0.382 \| good	6.273 \| good	1.102 \| good
2025-12-28T01:00:00.000Z	32 \| good	4.079 \| good	7.825 \| good	34.729 \| good	0.529 \| good	4.383 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	33 \| good	3.643 \| good	9.688 \| good	35.948 \| good	0.445 \| good	4.042 \| good	1.239 \| good
2025-12-28T03:00:00.000Z	33 \| good	3.846 \| good	16.763 \| good	36.015 \| good	0.382 \| good	2.601 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	35 \| good	3.868 \| good	15.306 \| good	37.712 \| good	0.382 \| good	2.574 \| good	0.678 \| good
2025-12-28T05:00:00.000Z	36 \| good	3.867 \| good	18.214 \| good	38.603 \| good	0.382 \| good	2.589 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	35 \| good	4.258 \| good	14.358 \| good	38.469 \| good	0.382 \| good	2.954 \| good	0.066 \| good
2025-12-28T07:00:00.000Z	36 \| good	3.868 \| good	14.25 \| good	38.935 \| good	0.382 \| good	2.195 \| good	0.084 \| good
2025-12-28T08:00:00.000Z	31 \| good	4.821 \| good	16.29 \| good	33.178 \| good	0.445 \| good	3.953 \| good	0.124 \| good
2025-12-28T09:00:00.000Z	30 \| good	5.183 \| good	16.557 \| good	31.864 \| good	0.507 \| good	5.174 \| good	0.133 \| good
2025-12-28T10:00:00.000Z	30 \| good	5.306 \| good	16.287 \| good	31.628 \| good	0.511 \| good	5.871 \| good	0.14 \| good
2025-12-28T11:00:00.000Z	31 \| good	4.749 \| good	15.595 \| good	32.655 \| good	0.457 \| good	4.929 \| good	0.138 \| good
2025-12-28T12:00:00.000Z	30 \| good	3.915 \| good	10.91 \| good	32.331 \| good	0.411 \| good	4.707 \| good	0.134 \| good
2025-12-28T13:00:00.000Z	31 \| good	3.208 \| good	10.025 \| good	34.267 \| good	0.34 \| good	3.874 \| good	0.128 \| good
2025-12-28T14:00:00.000Z	32 \| good	3.419 \| good	9.182 \| good	34.841 \| good	0.305 \| good	3.945 \| good	0.131 \| good
2025-12-28T15:00:00.000Z	31 \| good	3.677 \| good	9.73 \| good	34.266 \| good	0.288 \| good	4.244 \| good	0.132 \| good
2025-12-28T16:00:00.000Z	32 \| good	3.959 \| good	9.867 \| good	34.729 \| good	0.296 \| good	4.68 \| good	0.137 \| good
2025-12-28T17:00:00.000Z	31 \| good	4.488 \| good	11.467 \| good	33.772 \| good	0.352 \| good	5.681 \| good	0.148 \| good
2025-12-28T18:00:00.000Z	33 \| good	6.227 \| good	13.139 \| good	31.093 \| good	0.474 \| good	6.641 \| good	0.163 \| good
2025-12-28T19:00:00.000Z	44 \| good	8.273 \| good	14.237 \| good	29.782 \| good	0.586 \| good	8.135 \| good	0.178 \| good
2025-12-28T20:00:00.000Z	49 \| good	9.391 \| good	15.125 \| good	28.279 \| good	0.619 \| good	9.061 \| good	0.178 \| good
2025-12-28T21:00:00.000Z	44 \| good	8.273 \| good	16.8 \| good	22.271 \| good	1.007 \| good	14.672 \| good	0.201 \| good
2025-12-28T22:00:00.000Z	49 \| good	9.096 \| good	14.901 \| good	25.661 \| good	0.623 \| good	7.214 \| good	0.161 \| good
2025-12-28T23:00:00.000Z	49 \| good	8.665 \| good	14.304 \| good	24.332 \| good	0.541 \| good	5.676 \| good	0.153 \| good
2025-12-29T00:00:00.000Z	38 \| good	6.766 \| good	12.826 \| good	25.219 \| good	0.434 \| good	4.162 \| good	0.139 \| good
2025-12-29T01:00:00.000Z	33 \| good	5.569 \| good	10.671 \| good	26.575 \| good	0.373 \| good	3.062 \| good	0.129 \| good
2025-12-29T02:00:00.000Z	27 \| good	4.933 \| good	9.418 \| good	28.836 \| good	0.327 \| good	2.448 \| good	0.125 \| good
2025-12-29T03:00:00.000Z	28 \| good	4.533 \| good	8.14 \| good	30.281 \| good	0.269 \| good	1.945 \| good	0.121 \| good
2025-12-29T04:00:00.000Z	29 \| good	3.727 \| good	7.752 \| good	30.964 \| good	0.246 \| good	1.732 \| good	0.118 \| good
2025-12-29T05:00:00.000Z	30 \| good	3.484 \| good	7.879 \| good	32.324 \| good	0.224 \| good	1.603 \| good	0.118 \| good
2025-12-29T06:00:00.000Z	31 \| good	3.827 \| good	7.652 \| good	32.597 \| good	0.243 \| good	1.817 \| good	0.119 \| good
2025-12-29T07:00:00.000Z	29 \| good	4.115 \| good	7.864 \| good	31.015 \| good	0.359 \| good	2.528 \| good	0.12 \| good
2025-12-29T08:00:00.000Z	27 \| good	4.631 \| good	8.173 \| good	28.726 \| good	0.479 \| good	3.876 \| good	0.126 \| good
2025-12-29T09:00:00.000Z	27 \| good	4.752 \| good	8.571 \| good	27.049 \| good	0.496 \| good	4.383 \| good	0.129 \| good
2025-12-29T10:00:00.000Z	27 \| good	4.82 \| good	9.117 \| good	28.679 \| good	0.509 \| good	4.231 \| good	0.13 \| good
2025-12-29T11:00:00.000Z	28 \| good	3.965 \| good	9.374 \| good	29.97 \| good	0.434 \| good	3.59 \| good	0.127 \| good
2025-12-29T12:00:00.000Z	27 \| good	3.68 \| good	9.147 \| good	29.335 \| good	0.367 \| good	3.254 \| good	0.124 \| good
2025-12-29T13:00:00.000Z	27 \| good	3.511 \| good	7.769 \| good	28.804 \| good	0.322 \| good	2.98 \| good	0.122 \| good
2025-12-29T14:00:00.000Z	26 \| good	3.319 \| good	7.559 \| good	28.32 \| good	0.302 \| good	3.232 \| good	0.123 \| good
2025-12-29T15:00:00.000Z	26 \| good	3.196 \| good	7.496 \| good	27.741 \| good	0.285 \| good	3.629 \| good	0.126 \| good
2025-12-29T16:00:00.000Z	25 \| good	3.953 \| good	7.244 \| good	27.342 \| good	0.282 \| good	4.172 \| good	0.13 \| good
2025-12-29T17:00:00.000Z	26 \| good	4.298 \| good	8.303 \| good	27.738 \| good	0.294 \| good	4.594 \| good	0.135 \| good
2025-12-29T18:00:00.000Z	27 \| good	4.503 \| good	9.354 \| good	29.393 \| good	0.299 \| good	4.384 \| good	0.136 \| good
2025-12-29T19:00:00.000Z	29 \| good	4.614 \| good	9.611 \| good	30.995 \| good	0.296 \| good	4.328 \| good	0.135 \| good
2025-12-29T20:00:00.000Z	30 \| good	4.406 \| good	8.864 \| good	31.622 \| good	0.323 \| good	3.813 \| good	0.131 \| good
2025-12-29T21:00:00.000Z	31 \| good	4.132 \| good	10.394 \| good	34.417 \| good	0.326 \| good	2.923 \| good	0.127 \| good
2025-12-29T22:00:00.000Z	32 \| good	4.018 \| good	10.23 \| good	34.659 \| good	0.318 \| good	2.507 \| good	0.127 \| good
2025-12-29T23:00:00.000Z	32 \| good	3.563 \| good	10.04 \| good	34.695 \| good	0.311 \| good	2.414 \| good	0.127 \| good
2025-12-30T00:00:00.000Z	33 \| good	3.231 \| good	10.253 \| good	36.164 \| good	0.265 \| good	2.032 \| good	0.125 \| good
2025-12-30T01:00:00.000Z	34 \| good	2.784 \| good	9.869 \| good	37.08 \| good	0.234 \| good	1.63 \| good	0.124 \| good
2025-12-30T02:00:00.000Z	34 \| good	2.634 \| good	8.833 \| good	36.538 \| good	0.205 \| good	1.396 \| good	0.123 \| good
2025-12-30T03:00:00.000Z	34 \| good	2.603 \| good	7.826 \| good	37.079 \| good	0.198 \| good	1.252 \| good	0.122 \| good
2025-12-30T04:00:00.000Z	34 \| good	2.472 \| good	7.141 \| good	37.356 \| good	0.207 \| good	1.125 \| good	0.122 \| good
2025-12-30T05:00:00.000Z	34 \| good	2.391 \| good	6.749 \| good	37.349 \| good	0.233 \| good	1.174 \| good	0.122 \| good
2025-12-30T06:00:00.000Z	34 \| good	2.524 \| good	7.158 \| good	37.149 \| good	0.325 \| good	1.594 \| good	0.123 \| good
2025-12-30T07:00:00.000Z	33 \| good	2.779 \| good	7.684 \| good	36.46 \| good	0.431 \| good	2.652 \| good	0.127 \| good
2025-12-30T08:00:00.000Z	31 \| good	3.153 \| good	7.954 \| good	34.187 \| good	0.555 \| good	4.467 \| good	0.133 \| good
2025-12-30T09:00:00.000Z	29 \| good	3.473 \| good	8.525 \| good	31.457 \| good	0.591 \| good	5.928 \| good	0.14 \| good
2025-12-30T10:00:00.000Z	29 \| good	3.738 \| good	8.368 \| good	30.516 \| good	0.597 \| good	5.823 \| good	0.141 \| good
2025-12-30T11:00:00.000Z	29 \| good	3.676 \| good	8.308 \| good	30.88 \| good	0.537 \| good	4.63 \| good	0.138 \| good
2025-12-30T12:00:00.000Z	30 \| good	3.399 \| good	8.069 \| good	32.135 \| good	0.422 \| good	3.15 \| good	0.132 \| good
2025-12-30T13:00:00.000Z	31 \| good	2.849 \| good	7.613 \| good	33.778 \| good	0.325 \| good	2.505 \| good	0.129 \| good
2025-12-30T14:00:00.000Z	32 \| good	2.54 \| good	6.822 \| good	34.55 \| good	0.326 \| good	2.574 \| good	0.13 \| good
2025-12-30T15:00:00.000Z	31 \| good	2.629 \| good	6.235 \| good	34.038 \| good	0.312 \| good	2.6 \| good	0.132 \| good
2025-12-30T16:00:00.000Z	29 \| good	3.257 \| good	7.199 \| good	30.587 \| good	0.333 \| good	3.158 \| good	0.135 \| good
2025-12-30T17:00:00.000Z	26 \| good	4.155 \| good	8.24 \| good	28.386 \| good	0.361 \| good	3.83 \| good	0.14 \| good
2025-12-30T18:00:00.000Z	27 \| good	5.283 \| good	9.111 \| good	27.737 \| good	0.384 \| good	4.483 \| good	0.148 \| good
2025-12-30T19:00:00.000Z	33 \| good	6.226 \| good	10.413 \| good	25.968 \| good	0.421 \| good	4.863 \| good	0.151 \| good
2025-12-30T20:00:00.000Z	38 \| good	6.523 \| good	10.961 \| good	23.53 \| good	0.464 \| good	4.619 \| good	0.147 \| good
2025-12-30T21:00:00.000Z	33 \| good	5.865 \| good	9.952 \| good	24.684 \| good	0.489 \| good	3.984 \| good	0.143 \| good

Current air quality index in ChesterleStreet, County Durham today

Common air pollutants in ChesterleStreet, County Durham

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live ChesterleStreet, County Durham air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near ChesterleStreet, County Durham

Air quality in nearby cities

ChesterleStreet, County Durham

Birtley, Tyne and Wear

Shiney Row, Tyne and Wear

Washington, Tyne and Wear

HoughtonLeSpring, Tyne and Wear

Stanley, County Durham

How accurate is County Durham, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently does the air quality data for Chesterlestreet, County Durham get updated?

What time in the past 24 hours saw the poorest air quality in Chesterlestreet, County Durham?

When was air quality in Chesterlestreet, County Durham the best over the past 24 hours?

What is the air quality in Chesterlestreet, County Durham right now?

What pollutant is most frequently found in Chesterlestreet, County Durham?

What can I do if the air quality in Chesterlestreet, County Durham is poor?

What is the PM2.5 concentration in Chesterlestreet, County Durham right now?

What is the current level of PM10 in Chesterlestreet, County Durham?

What is the current level of carbon monoxide (CO) in Chesterlestreet, County Durham?

What is the current level of sulfur dioxide (SO2) in Chesterlestreet, County Durham?

What is the current level of ozone (O3) in Chesterlestreet, County Durham?

What is the current level of nitrogen dioxide (NO2) in Chesterlestreet, County Durham?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Chesterlestreet, County Durham right now?

What is the current level of PM₁₀ in Chesterlestreet, County Durham?

What is the current level of sulfur dioxide (SO₂) in Chesterlestreet, County Durham?

What is the current level of ozone (O₃) in Chesterlestreet, County Durham?

What is the current level of nitrogen dioxide (NO₂) in Chesterlestreet, County Durham?