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

Chesterlestreet, County Durham currently has a PM10 concentration of 10.289 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 0.437 ppb.

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

Chesterlestreet, County Durham currently has an ozone (O3) concentration of 21.751 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 1.983 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 2.56 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)

3.04 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.35 μg/m³

155

255

425

605+

Ozone (O₃)

18.68 ppb

201

201+

Sulfur Dioxide (SO₂)

0.52 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.60 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.35 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
2026-10-06T11:00:00.000Z	16 \| good	2.733 \| good	6.962 \| good	17.455 \| good	0.435 \| good	13.588 \| good	0.284 \| good
2026-10-06T12:00:00.000Z	12 \| good	2.211 \| good	12.502 \| good	12.495 \| good	0.647 \| good	8.567 \| good	0.221 \| good
2026-10-06T13:00:00.000Z	16 \| good	2.604 \| good	6.449 \| good	12.624 \| good	0.647 \| good	12.037 \| good	0.189 \| good
2026-10-06T14:00:00.000Z	16 \| good	2.741 \| good	6.885 \| good	14.358 \| good	0.643 \| good	11.541 \| good	0.183 \| good
2026-10-06T15:00:00.000Z	16 \| good	3.044 \| good	7.153 \| good	15.811 \| good	0.482 \| good	13.981 \| good	0.193 \| good
2026-10-06T16:00:00.000Z	18 \| good	3.348 \| good	8.988 \| good	18.504 \| good	0.634 \| good	11.689 \| good	0.222 \| good
2026-10-06T17:00:00.000Z	18 \| good	2.945 \| good	10.757 \| good	19.052 \| good	0.476 \| good	12.289 \| good	0.209 \| good
2026-10-06T18:00:00.000Z	22 \| good	3.921 \| good	8.683 \| good	18.19 \| good	0.475 \| good	13.948 \| good	0.397 \| good
2026-10-06T19:00:00.000Z	22 \| good	3.572 \| good	9.579 \| good	19.522 \| good	0.429 \| good	7.686 \| good	0.511 \| good
2026-10-06T20:00:00.000Z	22 \| good	3.647 \| good	9.402 \| good	17.735 \| good	0.491 \| good	10.415 \| good	0.506 \| good
2026-10-06T21:00:00.000Z	22 \| good	4.481 \| good	13.823 \| good	17.324 \| good	0.487 \| good	13.141 \| good	0.493 \| good
2026-10-06T22:00:00.000Z	22 \| good	4.495 \| good	12.025 \| good	18.434 \| good	0.493 \| good	9.613 \| good	0.46 \| good
2026-10-06T23:00:00.000Z	27 \| good	4.689 \| good	9.244 \| good	19.594 \| good	0.434 \| good	7.893 \| good	0.438 \| good
2026-10-07T00:00:00.000Z	22 \| good	4.388 \| good	10.824 \| good	21.742 \| good	0.435 \| good	4.949 \| good	0.374 \| good
2026-10-07T01:00:00.000Z	27 \| good	5 \| good	11.139 \| good	18.492 \| good	0.445 \| good	7.063 \| good	0.38 \| good
2026-10-07T02:00:00.000Z	27 \| good	4.912 \| good	11.418 \| good	17.599 \| good	0.433 \| good	4.018 \| good	0.284 \| good
2026-10-07T03:00:00.000Z	27 \| good	5.22 \| good	14.82 \| good	16.975 \| good	0.443 \| good	3.008 \| good	0.27 \| good
2026-10-07T04:00:00.000Z	27 \| good	5.339 \| good	13.171 \| good	18.109 \| good	0.586 \| good	2.979 \| good	0.266 \| good
2026-10-07T05:00:00.000Z	27 \| good	5.278 \| good	13.124 \| good	19.417 \| good	0.44 \| good	4.499 \| good	0.277 \| good
2026-10-07T06:00:00.000Z	27 \| good	5.118 \| good	13.982 \| good	21.959 \| good	0.494 \| good	4.916 \| good	0.281 \| good
2026-10-07T07:00:00.000Z	27 \| good	5.087 \| good	13.058 \| good	20.287 \| good	0.443 \| good	8.418 \| good	0.378 \| good
2026-10-07T08:00:00.000Z	27 \| good	5.288 \| good	13.495 \| good	19.401 \| good	0.57 \| good	11.8 \| good	0.411 \| good
2026-10-07T09:00:00.000Z	27 \| good	5.198 \| good	14.391 \| good	16.821 \| good	0.627 \| good	15.175 \| good	0.413 \| good
2026-10-07T10:00:00.000Z	27 \| good	4.746 \| good	11.084 \| good	18.036 \| good	0.68 \| good	10.796 \| good	0.293 \| good
2026-10-07T11:00:00.000Z	27 \| good	5.179 \| good	11.73 \| good	15.102 \| good	0.536 \| good	9.42 \| good	0.3 \| good
2026-10-07T12:00:00.000Z	27 \| good	5.263 \| good	12.399 \| good	14.445 \| good	0.529 \| good	7.837 \| good	0.198 \| good
2026-10-07T13:00:00.000Z	27 \| good	4.831 \| good	11.078 \| good	14.621 \| good	0.482 \| good	7.107 \| good	0.193 \| good
2026-10-07T14:00:00.000Z	27 \| good	4.561 \| good	11.921 \| good	15.917 \| good	0.688 \| good	6.281 \| good	0.189 \| good
2026-10-07T15:00:00.000Z	27 \| good	4.647 \| good	11.603 \| good	16.878 \| good	0.643 \| good	7.067 \| good	0.174 \| good
2026-10-07T16:00:00.000Z	22 \| good	4.154 \| good	10.69 \| good	18.822 \| good	0.641 \| good	7.616 \| good	0.174 \| good
2026-10-07T17:00:00.000Z	22 \| good	4.252 \| good	12.154 \| good	21.133 \| good	0.539 \| good	8.511 \| good	0.268 \| good
2026-10-07T18:00:00.000Z	22 \| good	4.003 \| good	10.839 \| good	23.116 \| good	0.382 \| good	7.395 \| good	0.32 \| good
2026-10-07T19:00:00.000Z	22 \| good	4.252 \| good	13.989 \| good	23.917 \| good	0.382 \| good	12.2 \| good	0.552 \| good
2026-10-07T20:00:00.000Z	23 \| good	4.157 \| good	10.723 \| good	24.505 \| good	0.438 \| good	11.489 \| good	0.525 \| good
2026-10-07T21:00:00.000Z	22 \| good	3.749 \| good	10.259 \| good	24.233 \| good	0.439 \| good	8.86 \| good	0.526 \| good
2026-10-07T22:00:00.000Z	22 \| good	3.799 \| good	8.537 \| good	22.945 \| good	0.438 \| good	5.257 \| good	0.449 \| good
2026-10-07T23:00:00.000Z	22 \| good	3.501 \| good	9.426 \| good	22.502 \| good	0.483 \| good	4.023 \| good	0.443 \| good
2026-10-08T00:00:00.000Z	21 \| good	3.393 \| good	8.598 \| good	22.893 \| good	0.382 \| good	2.739 \| good	0.401 \| good
2026-10-08T01:00:00.000Z	20 \| good	3.381 \| good	8.362 \| good	22.226 \| good	0.436 \| good	1.853 \| good	0.36 \| good
2026-10-08T02:00:00.000Z	20 \| good	3.175 \| good	8.075 \| good	21.849 \| good	0.382 \| good	1.806 \| good	0.334 \| good
2026-10-08T03:00:00.000Z	19 \| good	3.379 \| good	8.036 \| good	21.468 \| good	0.541 \| good	1.442 \| good	0.318 \| good
2026-10-08T04:00:00.000Z	21 \| good	3.389 \| good	7.23 \| good	22.875 \| good	0.712 \| good	1.356 \| good	0.374 \| good
2026-10-08T05:00:00.000Z	21 \| good	2.84 \| good	7.706 \| good	22.511 \| good	0.382 \| good	1.509 \| good	0.34 \| good
2026-10-08T06:00:00.000Z	20 \| good	2.56 \| good	10.289 \| good	21.751 \| good	0.437 \| good	1.983 \| good	0.359 \| good
2026-10-08T07:00:00.000Z	21 \| good	2.608 \| good	9.986 \| good	22.672 \| good	0.438 \| good	4.377 \| good	0.371 \| good
2026-10-08T08:00:00.000Z	19 \| good	2.985 \| good	8.811 \| good	21.32 \| good	0.382 \| good	7.215 \| good	0.402 \| good
2026-10-08T09:00:00.000Z	18 \| good	3.037 \| good	8.351 \| good	18.676 \| good	0.518 \| good	8.604 \| good	0.355 \| good
2026-10-08T10:00:00.000Z	18 \| good	3.108 \| good	9.495 \| good	18.962 \| good	0.526 \| good	6.879 \| good	0.302 \| good
2026-10-08T10:00:00.000Z	18 \| good	3.037 \| good	8.351 \| good	18.676 \| good	0.518 \| good	8.604 \| good	0.355 \| good
2026-10-08T08:00:00.000Z	22 \| good	2.406 \| good	5.398 \| good	23.739 \| good	0.294 \| good	4.008 \| good	0.154 \| good
2026-10-08T09:00:00.000Z	26 \| good	2.33 \| good	5.173 \| good	27.695 \| good	0.232 \| good	2.57 \| good	0.151 \| good
2026-10-08T10:00:00.000Z	28 \| good	2.241 \| good	4.776 \| good	29.518 \| good	0.219 \| good	2.055 \| good	0.15 \| good
2026-10-08T11:00:00.000Z	29 \| good	2.079 \| good	4.509 \| good	31.124 \| good	0.167 \| good	1.682 \| good	0.15 \| good
2026-10-08T12:00:00.000Z	31 \| good	2.003 \| good	4.49 \| good	32.984 \| good	0.153 \| good	1.518 \| good	0.148 \| good
2026-10-08T13:00:00.000Z	31 \| good	2.02 \| good	4.561 \| good	33.579 \| good	0.151 \| good	1.49 \| good	0.148 \| good
2026-10-08T14:00:00.000Z	31 \| good	2.237 \| good	4.451 \| good	33.853 \| good	0.14 \| good	1.59 \| good	0.146 \| good
2026-10-08T15:00:00.000Z	31 \| good	2.471 \| good	4.597 \| good	33.725 \| good	0.15 \| good	1.737 \| good	0.147 \| good
2026-10-08T16:00:00.000Z	31 \| good	2.372 \| good	4.296 \| good	33.578 \| good	0.165 \| good	2.062 \| good	0.148 \| good
2026-10-08T17:00:00.000Z	29 \| good	3.182 \| good	5.082 \| good	30.633 \| good	0.247 \| good	3.722 \| good	0.15 \| good
2026-10-08T18:00:00.000Z	26 \| good	3.387 \| good	5.983 \| good	27.608 \| good	0.295 \| good	4.886 \| good	0.154 \| good
2026-10-08T19:00:00.000Z	25 \| good	3.729 \| good	6.37 \| good	26.972 \| good	0.264 \| good	4.262 \| good	0.151 \| good
2026-10-08T20:00:00.000Z	28 \| good	3.324 \| good	5.879 \| good	29.686 \| good	0.228 \| good	3.337 \| good	0.143 \| good
2026-10-08T21:00:00.000Z	29 \| good	2.814 \| good	4.662 \| good	31.116 \| good	0.189 \| good	2.638 \| good	0.141 \| good
2026-10-08T22:00:00.000Z	29 \| good	2.713 \| good	4.466 \| good	31.365 \| good	0.15 \| good	2.208 \| good	0.137 \| good
2026-10-08T23:00:00.000Z	29 \| good	2.401 \| good	4.069 \| good	31.445 \| good	0.098 \| good	1.667 \| good	0.132 \| good
2026-10-09T00:00:00.000Z	29 \| good	1.544 \| good	2.702 \| good	30.818 \| good	0.075 \| good	1.311 \| good	0.127 \| good
2026-10-09T01:00:00.000Z	29 \| good	0.975 \| good	2.298 \| good	31.433 \| good	0.06 \| good	1.007 \| good	0.123 \| good
2026-10-09T02:00:00.000Z	31 \| good	0.805 \| good	2.057 \| good	32.79 \| good	0.054 \| good	0.905 \| good	0.116 \| good
2026-10-09T03:00:00.000Z	28 \| good	0.85 \| good	2.236 \| good	30.008 \| good	0.057 \| good	0.881 \| good	0.114 \| good
2026-10-09T04:00:00.000Z	27 \| good	0.836 \| good	2.249 \| good	28.666 \| good	0.061 \| good	0.806 \| good	0.11 \| good
2026-10-09T05:00:00.000Z	26 \| good	0.872 \| good	2.473 \| good	27.586 \| good	0.065 \| good	0.879 \| good	0.111 \| good
2026-10-09T06:00:00.000Z	25 \| good	1.029 \| good	2.59 \| good	26.927 \| good	0.09 \| good	1.263 \| good	0.111 \| good
2026-10-09T07:00:00.000Z	24 \| good	1.216 \| good	2.756 \| good	26.359 \| good	0.138 \| good	2.074 \| good	0.113 \| good
2026-10-09T08:00:00.000Z	26 \| good	1.86 \| good	2.952 \| good	27.63 \| good	0.135 \| good	2.199 \| good	0.113 \| good
2026-10-09T09:00:00.000Z	25 \| good	1.946 \| good	2.969 \| good	27.141 \| good	0.133 \| good	1.883 \| good	0.113 \| good
2026-10-09T10:00:00.000Z	26 \| good	1.565 \| good	2.971 \| good	27.844 \| good	0.134 \| good	1.493 \| good	0.112 \| good
2026-10-09T11:00:00.000Z	27 \| good	2.075 \| good	4.135 \| good	29.402 \| good	0.098 \| good	1.218 \| good	0.112 \| good
2026-10-09T12:00:00.000Z	30 \| good	2.609 \| good	6.411 \| good	31.982 \| good	0.094 \| good	0.991 \| good	0.114 \| good
2026-10-09T13:00:00.000Z	30 \| good	2.804 \| good	7.376 \| good	32.447 \| good	0.101 \| good	0.941 \| good	0.117 \| good
2026-10-09T14:00:00.000Z	31 \| good	3 \| good	7.355 \| good	34.349 \| good	0.099 \| good	1.006 \| good	0.121 \| good
2026-10-09T15:00:00.000Z	31 \| good	3.258 \| good	6.439 \| good	33.424 \| good	0.094 \| good	1.154 \| good	0.124 \| good
2026-10-09T16:00:00.000Z	31 \| good	3.488 \| good	7.7 \| good	33.114 \| good	0.113 \| good	1.491 \| good	0.126 \| good
2026-10-09T17:00:00.000Z	29 \| good	3.322 \| good	7.156 \| good	30.714 \| good	0.124 \| good	2.013 \| good	0.129 \| good
2026-10-09T18:00:00.000Z	27 \| good	3.191 \| good	6.333 \| good	28.74 \| good	0.15 \| good	2.708 \| good	0.132 \| good
2026-10-09T19:00:00.000Z	27 \| good	3.464 \| good	6.708 \| good	28.997 \| good	0.157 \| good	2.428 \| good	0.134 \| good
2026-10-09T20:00:00.000Z	27 \| good	3.576 \| good	7.848 \| good	29.385 \| good	0.166 \| good	1.915 \| good	0.134 \| good
2026-10-09T21:00:00.000Z	27 \| good	3.384 \| good	7.713 \| good	29.048 \| good	0.147 \| good	1.781 \| good	0.133 \| good
2026-10-09T22:00:00.000Z	28 \| good	3.167 \| good	7.654 \| good	29.685 \| good	0.133 \| good	1.479 \| good	0.132 \| good
2026-10-09T23:00:00.000Z	29 \| good	2.927 \| good	7.562 \| good	30.501 \| good	0.093 \| good	1.16 \| good	0.132 \| good
2026-10-10T00:00:00.000Z	30 \| good	2.545 \| good	7.472 \| good	31.526 \| good	0.072 \| good	0.99 \| good	0.133 \| good
2026-10-10T01:00:00.000Z	29 \| good	2.313 \| good	6.826 \| good	31.386 \| good	0.064 \| good	0.838 \| good	0.132 \| good
2026-10-10T02:00:00.000Z	30 \| good	2.361 \| good	6.454 \| good	31.998 \| good	0.056 \| good	0.667 \| good	0.13 \| good
2026-10-10T03:00:00.000Z	31 \| good	2.466 \| good	6.859 \| good	33.657 \| good	0.054 \| good	0.558 \| good	0.129 \| good
2026-10-10T04:00:00.000Z	32 \| good	2.395 \| good	6.889 \| good	35.216 \| good	0.056 \| good	0.512 \| good	0.129 \| good
2026-10-10T05:00:00.000Z	33 \| good	2.442 \| good	5.88 \| good	35.539 \| good	0.061 \| good	0.486 \| good	0.13 \| good
2026-10-10T06:00:00.000Z	33 \| good	2.485 \| good	6.266 \| good	35.964 \| good	0.074 \| good	0.591 \| good	0.13 \| good
2026-10-10T07:00:00.000Z	34 \| good	2.66 \| good	7.233 \| good	36.517 \| good	0.095 \| good	0.787 \| good	0.132 \| good

ChesterleStreet

Empower business decisions with accurate air quality data

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

0.36ppm

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

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

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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 03:00:00, 2026-10-07.

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 03:00:00 on 2026-10-08.

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 20.

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

In Chesterlestreet, County Durham, O3 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 2.56 μg/m³.

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

Chesterlestreet, County Durham currently has a PM₁₀ concentration of 10.289 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 0.359 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 0.437 ppb.

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

Chesterlestreet, County Durham currently has an ozone (O₃) concentration of 21.751 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 1.983 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-06T11:00:00.000Z	16 \| good	2.733 \| good	6.962 \| good	17.455 \| good	0.435 \| good	13.588 \| good	0.284 \| good
2026-10-06T12:00:00.000Z	12 \| good	2.211 \| good	12.502 \| good	12.495 \| good	0.647 \| good	8.567 \| good	0.221 \| good
2026-10-06T13:00:00.000Z	16 \| good	2.604 \| good	6.449 \| good	12.624 \| good	0.647 \| good	12.037 \| good	0.189 \| good
2026-10-06T14:00:00.000Z	16 \| good	2.741 \| good	6.885 \| good	14.358 \| good	0.643 \| good	11.541 \| good	0.183 \| good
2026-10-06T15:00:00.000Z	16 \| good	3.044 \| good	7.153 \| good	15.811 \| good	0.482 \| good	13.981 \| good	0.193 \| good
2026-10-06T16:00:00.000Z	18 \| good	3.348 \| good	8.988 \| good	18.504 \| good	0.634 \| good	11.689 \| good	0.222 \| good
2026-10-06T17:00:00.000Z	18 \| good	2.945 \| good	10.757 \| good	19.052 \| good	0.476 \| good	12.289 \| good	0.209 \| good
2026-10-06T18:00:00.000Z	22 \| good	3.921 \| good	8.683 \| good	18.19 \| good	0.475 \| good	13.948 \| good	0.397 \| good
2026-10-06T19:00:00.000Z	22 \| good	3.572 \| good	9.579 \| good	19.522 \| good	0.429 \| good	7.686 \| good	0.511 \| good
2026-10-06T20:00:00.000Z	22 \| good	3.647 \| good	9.402 \| good	17.735 \| good	0.491 \| good	10.415 \| good	0.506 \| good
2026-10-06T21:00:00.000Z	22 \| good	4.481 \| good	13.823 \| good	17.324 \| good	0.487 \| good	13.141 \| good	0.493 \| good
2026-10-06T22:00:00.000Z	22 \| good	4.495 \| good	12.025 \| good	18.434 \| good	0.493 \| good	9.613 \| good	0.46 \| good
2026-10-06T23:00:00.000Z	27 \| good	4.689 \| good	9.244 \| good	19.594 \| good	0.434 \| good	7.893 \| good	0.438 \| good
2026-10-07T00:00:00.000Z	22 \| good	4.388 \| good	10.824 \| good	21.742 \| good	0.435 \| good	4.949 \| good	0.374 \| good
2026-10-07T01:00:00.000Z	27 \| good	5 \| good	11.139 \| good	18.492 \| good	0.445 \| good	7.063 \| good	0.38 \| good
2026-10-07T02:00:00.000Z	27 \| good	4.912 \| good	11.418 \| good	17.599 \| good	0.433 \| good	4.018 \| good	0.284 \| good
2026-10-07T03:00:00.000Z	27 \| good	5.22 \| good	14.82 \| good	16.975 \| good	0.443 \| good	3.008 \| good	0.27 \| good
2026-10-07T04:00:00.000Z	27 \| good	5.339 \| good	13.171 \| good	18.109 \| good	0.586 \| good	2.979 \| good	0.266 \| good
2026-10-07T05:00:00.000Z	27 \| good	5.278 \| good	13.124 \| good	19.417 \| good	0.44 \| good	4.499 \| good	0.277 \| good
2026-10-07T06:00:00.000Z	27 \| good	5.118 \| good	13.982 \| good	21.959 \| good	0.494 \| good	4.916 \| good	0.281 \| good
2026-10-07T07:00:00.000Z	27 \| good	5.087 \| good	13.058 \| good	20.287 \| good	0.443 \| good	8.418 \| good	0.378 \| good
2026-10-07T08:00:00.000Z	27 \| good	5.288 \| good	13.495 \| good	19.401 \| good	0.57 \| good	11.8 \| good	0.411 \| good
2026-10-07T09:00:00.000Z	27 \| good	5.198 \| good	14.391 \| good	16.821 \| good	0.627 \| good	15.175 \| good	0.413 \| good
2026-10-07T10:00:00.000Z	27 \| good	4.746 \| good	11.084 \| good	18.036 \| good	0.68 \| good	10.796 \| good	0.293 \| good
2026-10-07T11:00:00.000Z	27 \| good	5.179 \| good	11.73 \| good	15.102 \| good	0.536 \| good	9.42 \| good	0.3 \| good
2026-10-07T12:00:00.000Z	27 \| good	5.263 \| good	12.399 \| good	14.445 \| good	0.529 \| good	7.837 \| good	0.198 \| good
2026-10-07T13:00:00.000Z	27 \| good	4.831 \| good	11.078 \| good	14.621 \| good	0.482 \| good	7.107 \| good	0.193 \| good
2026-10-07T14:00:00.000Z	27 \| good	4.561 \| good	11.921 \| good	15.917 \| good	0.688 \| good	6.281 \| good	0.189 \| good
2026-10-07T15:00:00.000Z	27 \| good	4.647 \| good	11.603 \| good	16.878 \| good	0.643 \| good	7.067 \| good	0.174 \| good
2026-10-07T16:00:00.000Z	22 \| good	4.154 \| good	10.69 \| good	18.822 \| good	0.641 \| good	7.616 \| good	0.174 \| good
2026-10-07T17:00:00.000Z	22 \| good	4.252 \| good	12.154 \| good	21.133 \| good	0.539 \| good	8.511 \| good	0.268 \| good
2026-10-07T18:00:00.000Z	22 \| good	4.003 \| good	10.839 \| good	23.116 \| good	0.382 \| good	7.395 \| good	0.32 \| good
2026-10-07T19:00:00.000Z	22 \| good	4.252 \| good	13.989 \| good	23.917 \| good	0.382 \| good	12.2 \| good	0.552 \| good
2026-10-07T20:00:00.000Z	23 \| good	4.157 \| good	10.723 \| good	24.505 \| good	0.438 \| good	11.489 \| good	0.525 \| good
2026-10-07T21:00:00.000Z	22 \| good	3.749 \| good	10.259 \| good	24.233 \| good	0.439 \| good	8.86 \| good	0.526 \| good
2026-10-07T22:00:00.000Z	22 \| good	3.799 \| good	8.537 \| good	22.945 \| good	0.438 \| good	5.257 \| good	0.449 \| good
2026-10-07T23:00:00.000Z	22 \| good	3.501 \| good	9.426 \| good	22.502 \| good	0.483 \| good	4.023 \| good	0.443 \| good
2026-10-08T00:00:00.000Z	21 \| good	3.393 \| good	8.598 \| good	22.893 \| good	0.382 \| good	2.739 \| good	0.401 \| good
2026-10-08T01:00:00.000Z	20 \| good	3.381 \| good	8.362 \| good	22.226 \| good	0.436 \| good	1.853 \| good	0.36 \| good
2026-10-08T02:00:00.000Z	20 \| good	3.175 \| good	8.075 \| good	21.849 \| good	0.382 \| good	1.806 \| good	0.334 \| good
2026-10-08T03:00:00.000Z	19 \| good	3.379 \| good	8.036 \| good	21.468 \| good	0.541 \| good	1.442 \| good	0.318 \| good
2026-10-08T04:00:00.000Z	21 \| good	3.389 \| good	7.23 \| good	22.875 \| good	0.712 \| good	1.356 \| good	0.374 \| good
2026-10-08T05:00:00.000Z	21 \| good	2.84 \| good	7.706 \| good	22.511 \| good	0.382 \| good	1.509 \| good	0.34 \| good
2026-10-08T06:00:00.000Z	20 \| good	2.56 \| good	10.289 \| good	21.751 \| good	0.437 \| good	1.983 \| good	0.359 \| good
2026-10-08T07:00:00.000Z	21 \| good	2.608 \| good	9.986 \| good	22.672 \| good	0.438 \| good	4.377 \| good	0.371 \| good
2026-10-08T08:00:00.000Z	19 \| good	2.985 \| good	8.811 \| good	21.32 \| good	0.382 \| good	7.215 \| good	0.402 \| good
2026-10-08T09:00:00.000Z	18 \| good	3.037 \| good	8.351 \| good	18.676 \| good	0.518 \| good	8.604 \| good	0.355 \| good
2026-10-08T10:00:00.000Z	18 \| good	3.108 \| good	9.495 \| good	18.962 \| good	0.526 \| good	6.879 \| good	0.302 \| good
2026-10-08T10:00:00.000Z	18 \| good	3.037 \| good	8.351 \| good	18.676 \| good	0.518 \| good	8.604 \| good	0.355 \| good
2026-10-08T08:00:00.000Z	22 \| good	2.406 \| good	5.398 \| good	23.739 \| good	0.294 \| good	4.008 \| good	0.154 \| good
2026-10-08T09:00:00.000Z	26 \| good	2.33 \| good	5.173 \| good	27.695 \| good	0.232 \| good	2.57 \| good	0.151 \| good
2026-10-08T10:00:00.000Z	28 \| good	2.241 \| good	4.776 \| good	29.518 \| good	0.219 \| good	2.055 \| good	0.15 \| good
2026-10-08T11:00:00.000Z	29 \| good	2.079 \| good	4.509 \| good	31.124 \| good	0.167 \| good	1.682 \| good	0.15 \| good
2026-10-08T12:00:00.000Z	31 \| good	2.003 \| good	4.49 \| good	32.984 \| good	0.153 \| good	1.518 \| good	0.148 \| good
2026-10-08T13:00:00.000Z	31 \| good	2.02 \| good	4.561 \| good	33.579 \| good	0.151 \| good	1.49 \| good	0.148 \| good
2026-10-08T14:00:00.000Z	31 \| good	2.237 \| good	4.451 \| good	33.853 \| good	0.14 \| good	1.59 \| good	0.146 \| good
2026-10-08T15:00:00.000Z	31 \| good	2.471 \| good	4.597 \| good	33.725 \| good	0.15 \| good	1.737 \| good	0.147 \| good
2026-10-08T16:00:00.000Z	31 \| good	2.372 \| good	4.296 \| good	33.578 \| good	0.165 \| good	2.062 \| good	0.148 \| good
2026-10-08T17:00:00.000Z	29 \| good	3.182 \| good	5.082 \| good	30.633 \| good	0.247 \| good	3.722 \| good	0.15 \| good
2026-10-08T18:00:00.000Z	26 \| good	3.387 \| good	5.983 \| good	27.608 \| good	0.295 \| good	4.886 \| good	0.154 \| good
2026-10-08T19:00:00.000Z	25 \| good	3.729 \| good	6.37 \| good	26.972 \| good	0.264 \| good	4.262 \| good	0.151 \| good
2026-10-08T20:00:00.000Z	28 \| good	3.324 \| good	5.879 \| good	29.686 \| good	0.228 \| good	3.337 \| good	0.143 \| good
2026-10-08T21:00:00.000Z	29 \| good	2.814 \| good	4.662 \| good	31.116 \| good	0.189 \| good	2.638 \| good	0.141 \| good
2026-10-08T22:00:00.000Z	29 \| good	2.713 \| good	4.466 \| good	31.365 \| good	0.15 \| good	2.208 \| good	0.137 \| good
2026-10-08T23:00:00.000Z	29 \| good	2.401 \| good	4.069 \| good	31.445 \| good	0.098 \| good	1.667 \| good	0.132 \| good
2026-10-09T00:00:00.000Z	29 \| good	1.544 \| good	2.702 \| good	30.818 \| good	0.075 \| good	1.311 \| good	0.127 \| good
2026-10-09T01:00:00.000Z	29 \| good	0.975 \| good	2.298 \| good	31.433 \| good	0.06 \| good	1.007 \| good	0.123 \| good
2026-10-09T02:00:00.000Z	31 \| good	0.805 \| good	2.057 \| good	32.79 \| good	0.054 \| good	0.905 \| good	0.116 \| good
2026-10-09T03:00:00.000Z	28 \| good	0.85 \| good	2.236 \| good	30.008 \| good	0.057 \| good	0.881 \| good	0.114 \| good
2026-10-09T04:00:00.000Z	27 \| good	0.836 \| good	2.249 \| good	28.666 \| good	0.061 \| good	0.806 \| good	0.11 \| good
2026-10-09T05:00:00.000Z	26 \| good	0.872 \| good	2.473 \| good	27.586 \| good	0.065 \| good	0.879 \| good	0.111 \| good
2026-10-09T06:00:00.000Z	25 \| good	1.029 \| good	2.59 \| good	26.927 \| good	0.09 \| good	1.263 \| good	0.111 \| good
2026-10-09T07:00:00.000Z	24 \| good	1.216 \| good	2.756 \| good	26.359 \| good	0.138 \| good	2.074 \| good	0.113 \| good
2026-10-09T08:00:00.000Z	26 \| good	1.86 \| good	2.952 \| good	27.63 \| good	0.135 \| good	2.199 \| good	0.113 \| good
2026-10-09T09:00:00.000Z	25 \| good	1.946 \| good	2.969 \| good	27.141 \| good	0.133 \| good	1.883 \| good	0.113 \| good
2026-10-09T10:00:00.000Z	26 \| good	1.565 \| good	2.971 \| good	27.844 \| good	0.134 \| good	1.493 \| good	0.112 \| good
2026-10-09T11:00:00.000Z	27 \| good	2.075 \| good	4.135 \| good	29.402 \| good	0.098 \| good	1.218 \| good	0.112 \| good
2026-10-09T12:00:00.000Z	30 \| good	2.609 \| good	6.411 \| good	31.982 \| good	0.094 \| good	0.991 \| good	0.114 \| good
2026-10-09T13:00:00.000Z	30 \| good	2.804 \| good	7.376 \| good	32.447 \| good	0.101 \| good	0.941 \| good	0.117 \| good
2026-10-09T14:00:00.000Z	31 \| good	3 \| good	7.355 \| good	34.349 \| good	0.099 \| good	1.006 \| good	0.121 \| good
2026-10-09T15:00:00.000Z	31 \| good	3.258 \| good	6.439 \| good	33.424 \| good	0.094 \| good	1.154 \| good	0.124 \| good
2026-10-09T16:00:00.000Z	31 \| good	3.488 \| good	7.7 \| good	33.114 \| good	0.113 \| good	1.491 \| good	0.126 \| good
2026-10-09T17:00:00.000Z	29 \| good	3.322 \| good	7.156 \| good	30.714 \| good	0.124 \| good	2.013 \| good	0.129 \| good
2026-10-09T18:00:00.000Z	27 \| good	3.191 \| good	6.333 \| good	28.74 \| good	0.15 \| good	2.708 \| good	0.132 \| good
2026-10-09T19:00:00.000Z	27 \| good	3.464 \| good	6.708 \| good	28.997 \| good	0.157 \| good	2.428 \| good	0.134 \| good
2026-10-09T20:00:00.000Z	27 \| good	3.576 \| good	7.848 \| good	29.385 \| good	0.166 \| good	1.915 \| good	0.134 \| good
2026-10-09T21:00:00.000Z	27 \| good	3.384 \| good	7.713 \| good	29.048 \| good	0.147 \| good	1.781 \| good	0.133 \| good
2026-10-09T22:00:00.000Z	28 \| good	3.167 \| good	7.654 \| good	29.685 \| good	0.133 \| good	1.479 \| good	0.132 \| good
2026-10-09T23:00:00.000Z	29 \| good	2.927 \| good	7.562 \| good	30.501 \| good	0.093 \| good	1.16 \| good	0.132 \| good
2026-10-10T00:00:00.000Z	30 \| good	2.545 \| good	7.472 \| good	31.526 \| good	0.072 \| good	0.99 \| good	0.133 \| good
2026-10-10T01:00:00.000Z	29 \| good	2.313 \| good	6.826 \| good	31.386 \| good	0.064 \| good	0.838 \| good	0.132 \| good
2026-10-10T02:00:00.000Z	30 \| good	2.361 \| good	6.454 \| good	31.998 \| good	0.056 \| good	0.667 \| good	0.13 \| good
2026-10-10T03:00:00.000Z	31 \| good	2.466 \| good	6.859 \| good	33.657 \| good	0.054 \| good	0.558 \| good	0.129 \| good
2026-10-10T04:00:00.000Z	32 \| good	2.395 \| good	6.889 \| good	35.216 \| good	0.056 \| good	0.512 \| good	0.129 \| good
2026-10-10T05:00:00.000Z	33 \| good	2.442 \| good	5.88 \| good	35.539 \| good	0.061 \| good	0.486 \| good	0.13 \| good
2026-10-10T06:00:00.000Z	33 \| good	2.485 \| good	6.266 \| good	35.964 \| good	0.074 \| good	0.591 \| good	0.13 \| good
2026-10-10T07:00:00.000Z	34 \| good	2.66 \| good	7.233 \| good	36.517 \| good	0.095 \| good	0.787 \| good	0.132 \| 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?