What is the PM10 level in Blaydon, Tyne and Wear at the moment?

The PM10 concentration in Blaydon, Tyne and Wear is 14.843 μg/m3 at the moment.

What is the sulfur dioxide (SO2) level in Blaydon, Tyne and Wear at the moment?

Currently, Blaydon, Tyne and Wear has a sulfur dioxide (SO2) concentration of 0.488 ppb.

What is the ozone (O3) level in Blaydon, Tyne and Wear at the moment?

The current ozone (O3) level in Blaydon, Tyne and Wear at the moment is 28.738 ppm.

What is the nitrogen dioxide (NO2) level in Blaydon, Tyne and Wear at the moment?

Nitrogen dioxide (NO2) level in Blaydon, Tyne and Wear at the moment is 5.777 ppb.

Live air quality index in Blaydon, Tyne and Wear today

Q: What is the PM2.5 level in Blaydon, Tyne and Wear at the moment?

PM2.5 levels in Blaydon, Tyne and Wear are currently 4.814 μg/m3.

Stay updated with real-time air quality in Blaydon, Tyne and Wear 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

Blaydon, Tyne and Wear

Last updated: ... (Local time)

Major air pollutants in Blaydon, Tyne and Wear

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.67 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.52 μg/m³

155

255

425

605+

Ozone (O₃)

27.21 ppb

201

201+

Sulfur Dioxide (SO₂)

0.44 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.52 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.28 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Blaydon, Tyne and Wear

Get Live Pollen Counts

Blaydon, Tyne and Wear

Scroll To Air Quality Map

Track live Blaydon, Tyne and Wear air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T01:00:00.000Z	35 \| good	4.357 \| good	14.221 \| good	37.727 \| good	0.44 \| good	2.159 \| good	1.475 \| good
2025-11-15T02:00:00.000Z	36 \| good	4.356 \| good	14.78 \| good	38.547 \| good	0.44 \| good	2.238 \| good	1.406 \| good
2025-11-15T03:00:00.000Z	35 \| good	4.787 \| good	14.052 \| good	38.319 \| good	0.517 \| good	1.321 \| good	1.351 \| good
2025-11-15T04:00:00.000Z	36 \| good	4.785 \| good	14.709 \| good	39.1 \| good	0.518 \| good	1.62 \| good	1.024 \| good
2025-11-15T05:00:00.000Z	36 \| good	4.933 \| good	16.358 \| good	39.045 \| good	0.439 \| good	1.196 \| good	0.943 \| good
2025-11-15T06:00:00.000Z	35 \| good	4.939 \| good	15.677 \| good	38.479 \| good	0.439 \| good	1.497 \| good	0.179 \| good
2025-11-15T07:00:00.000Z	35 \| good	5.536 \| good	18.083 \| good	38.373 \| good	0.44 \| good	3.379 \| good	0.178 \| good
2025-11-15T08:00:00.000Z	35 \| good	5.54 \| good	17.605 \| good	37.863 \| good	0.44 \| good	3.537 \| good	0.194 \| good
2025-11-15T09:00:00.000Z	35 \| good	5.786 \| good	15.659 \| good	37.721 \| good	0.44 \| good	4.662 \| good	0.18 \| good
2025-11-15T10:00:00.000Z	34 \| good	5.317 \| good	20.832 \| good	37.046 \| good	0.44 \| good	5.095 \| good	0.154 \| good
2025-11-15T11:00:00.000Z	33 \| good	5.417 \| good	17.979 \| good	36.012 \| good	0.519 \| good	6.829 \| good	0.119 \| good
2025-11-15T12:00:00.000Z	33 \| good	6.02 \| good	16.474 \| good	34.827 \| good	0.44 \| good	8.176 \| good	0.09 \| good
2025-11-15T13:00:00.000Z	31 \| good	5.477 \| good	16.434 \| good	33.645 \| good	0.44 \| good	9.962 \| good	0.072 \| good
2025-11-15T14:00:00.000Z	31 \| good	5.365 \| good	19.776 \| good	33.054 \| good	0.524 \| good	14.263 \| good	0.071 \| good
2025-11-15T15:00:00.000Z	31 \| good	5.207 \| good	17.092 \| good	32.895 \| good	0.441 \| good	13.62 \| good	0.073 \| good
2025-11-15T16:00:00.000Z	30 \| good	5.34 \| good	17.376 \| good	31.541 \| good	0.443 \| good	13.877 \| good	0.145 \| good
2025-11-15T17:00:00.000Z	33 \| good	5.767 \| good	20.919 \| good	31.737 \| good	0.439 \| good	10.116 \| good	0.23 \| good
2025-11-15T18:00:00.000Z	33 \| good	6.394 \| good	22.092 \| good	31.357 \| good	0.521 \| good	11.893 \| good	0.319 \| good
2025-11-15T19:00:00.000Z	33 \| good	6.301 \| good	21.642 \| good	31.058 \| good	0.443 \| good	13.39 \| good	0.282 \| good
2025-11-15T20:00:00.000Z	33 \| good	5.728 \| good	21.865 \| good	30.426 \| good	0.441 \| good	12.124 \| good	0.396 \| good
2025-11-15T21:00:00.000Z	33 \| good	5.68 \| good	21.906 \| good	30.768 \| good	0.439 \| good	10.978 \| good	0.339 \| good
2025-11-15T22:00:00.000Z	33 \| good	6.036 \| good	21.647 \| good	30.379 \| good	0.456 \| good	11.728 \| good	0.429 \| good
2025-11-15T23:00:00.000Z	33 \| good	6.047 \| good	22.066 \| good	30.353 \| good	0.439 \| good	8.601 \| good	0.223 \| good
2025-11-16T00:00:00.000Z	33 \| good	6.107 \| good	20.5 \| good	31.681 \| good	0.44 \| good	7.605 \| good	0.992 \| good
2025-11-16T01:00:00.000Z	38 \| good	6.552 \| good	21.458 \| good	30.929 \| good	0.44 \| good	4.752 \| good	1.541 \| good
2025-11-16T02:00:00.000Z	33 \| good	6.436 \| good	21.565 \| good	31.203 \| good	0.44 \| good	3.484 \| good	1.348 \| good
2025-11-16T03:00:00.000Z	33 \| good	5.859 \| good	22.437 \| good	33.03 \| good	0.442 \| good	4.198 \| good	0.879 \| good
2025-11-16T04:00:00.000Z	33 \| good	5.747 \| good	23.746 \| good	31.103 \| good	0.44 \| good	3.684 \| good	0.747 \| good
2025-11-16T05:00:00.000Z	33 \| good	5.724 \| good	23.836 \| good	29.279 \| good	0.44 \| good	4.03 \| good	0.738 \| good
2025-11-16T06:00:00.000Z	27 \| good	5.496 \| good	20.568 \| good	28.733 \| good	0.44 \| good	1.939 \| good	0.121 \| good
2025-11-16T07:00:00.000Z	28 \| good	5.478 \| good	20.619 \| good	29.752 \| good	0.521 \| good	2.431 \| good	0.136 \| good
2025-11-16T08:00:00.000Z	33 \| good	5.505 \| good	22.727 \| good	30.646 \| good	0.441 \| good	3.539 \| good	0.152 \| good
2025-11-16T09:00:00.000Z	33 \| good	6.061 \| good	19.522 \| good	31.964 \| good	0.44 \| good	5.637 \| good	0.138 \| good
2025-11-16T10:00:00.000Z	33 \| good	6.224 \| good	24.32 \| good	31.758 \| good	0.443 \| good	5.894 \| good	0.142 \| good
2025-11-16T11:00:00.000Z	33 \| good	5.779 \| good	23.291 \| good	34.039 \| good	0.443 \| good	8.701 \| good	0.119 \| good
2025-11-16T12:00:00.000Z	33 \| good	5.548 \| good	23.498 \| good	31.767 \| good	0.44 \| good	8.742 \| good	0.087 \| good
2025-11-16T13:00:00.000Z	33 \| good	6.097 \| good	23.681 \| good	31.878 \| good	0.577 \| good	7.217 \| good	0.078 \| good
2025-11-16T14:00:00.000Z	28 \| good	5.343 \| good	21.145 \| good	29.54 \| good	0.499 \| good	8.902 \| good	0.08 \| good
2025-11-16T15:00:00.000Z	33 \| good	5.656 \| good	20.413 \| good	29.493 \| good	0.501 \| good	7.919 \| good	0.101 \| good
2025-11-16T16:00:00.000Z	29 \| good	5.193 \| good	19.971 \| good	30.773 \| good	0.462 \| good	6.456 \| good	0.223 \| good
2025-11-16T17:00:00.000Z	33 \| good	5.956 \| good	20.276 \| good	31.404 \| good	0.382 \| good	2.867 \| good	0.234 \| good
2025-11-16T18:00:00.000Z	33 \| good	5.775 \| good	20.27 \| good	30.658 \| good	0.382 \| good	4.011 \| good	0.257 \| good
2025-11-16T19:00:00.000Z	28 \| good	4.945 \| good	15.732 \| good	30.378 \| good	0.508 \| good	6.585 \| good	0.23 \| good
2025-11-16T20:00:00.000Z	27 \| good	4.814 \| good	14.843 \| good	28.738 \| good	0.488 \| good	5.777 \| good	0.24 \| good
2025-11-16T21:00:00.000Z	27 \| good	4.522 \| good	14.456 \| good	27.872 \| good	0.569 \| good	4.603 \| good	0.215 \| good
2025-11-16T22:00:00.000Z	27 \| good	4.694 \| good	13.064 \| good	28.199 \| good	0.489 \| good	5.339 \| good	0.29 \| good
2025-11-16T23:00:00.000Z	27 \| good	4.674 \| good	13.522 \| good	27.207 \| good	0.442 \| good	4.521 \| good	0.277 \| good
2025-11-17T00:00:00.000Z	27 \| good	4.674 \| good	13.522 \| good	27.207 \| good	0.442 \| good	4.521 \| good	0.277 \| good
2025-11-16T21:00:00.000Z	30 \| good	2.694 \| good	5.947 \| good	31.824 \| good	0.177 \| good	1.607 \| good	0.119 \| good
2025-11-16T22:00:00.000Z	30 \| good	2.675 \| good	6.126 \| good	32.094 \| good	0.126 \| good	1.464 \| good	0.116 \| good
2025-11-16T23:00:00.000Z	30 \| good	2.581 \| good	6.107 \| good	32.322 \| good	0.115 \| good	1.169 \| good	0.115 \| good
2025-11-17T00:00:00.000Z	31 \| good	2.491 \| good	6.49 \| good	32.655 \| good	0.1 \| good	0.999 \| good	0.117 \| good
2025-11-17T01:00:00.000Z	33 \| good	2.333 \| good	6.431 \| good	35.577 \| good	0.088 \| good	0.865 \| good	0.116 \| good
2025-11-17T02:00:00.000Z	33 \| good	1.909 \| good	5.719 \| good	35.808 \| good	0.07 \| good	0.643 \| good	0.116 \| good
2025-11-17T03:00:00.000Z	32 \| good	1.905 \| good	5.982 \| good	35.089 \| good	0.06 \| good	0.608 \| good	0.117 \| good
2025-11-17T04:00:00.000Z	31 \| good	2.221 \| good	6.996 \| good	33.233 \| good	0.067 \| good	0.513 \| good	0.118 \| good
2025-11-17T05:00:00.000Z	31 \| good	2.759 \| good	8.019 \| good	33.045 \| good	0.081 \| good	0.385 \| good	0.119 \| good
2025-11-17T06:00:00.000Z	31 \| good	3.105 \| good	8.829 \| good	33.887 \| good	0.096 \| good	0.443 \| good	0.121 \| good
2025-11-17T07:00:00.000Z	31 \| good	3.145 \| good	8.969 \| good	33.275 \| good	0.127 \| good	0.764 \| good	0.125 \| good
2025-11-17T08:00:00.000Z	30 \| good	2.917 \| good	8.094 \| good	32.205 \| good	0.177 \| good	1.193 \| good	0.127 \| good
2025-11-17T09:00:00.000Z	30 \| good	2.596 \| good	7.294 \| good	31.852 \| good	0.206 \| good	1.417 \| good	0.127 \| good
2025-11-17T10:00:00.000Z	30 \| good	2.674 \| good	7.447 \| good	32.116 \| good	0.197 \| good	1.316 \| good	0.126 \| good
2025-11-17T11:00:00.000Z	31 \| good	2.778 \| good	7.317 \| good	32.795 \| good	0.182 \| good	1.253 \| good	0.127 \| good
2025-11-17T12:00:00.000Z	31 \| good	2.6 \| good	7.221 \| good	33.272 \| good	0.18 \| good	1.134 \| good	0.125 \| good
2025-11-17T13:00:00.000Z	31 \| good	2.614 \| good	7.522 \| good	33.576 \| good	0.181 \| good	1.154 \| good	0.125 \| good
2025-11-17T14:00:00.000Z	31 \| good	3.168 \| good	8.273 \| good	33.44 \| good	0.198 \| good	1.564 \| good	0.126 \| good
2025-11-17T15:00:00.000Z	31 \| good	3.368 \| good	8.865 \| good	32.73 \| good	0.217 \| good	1.841 \| good	0.128 \| good
2025-11-17T16:00:00.000Z	29 \| good	3.614 \| good	9.223 \| good	30.568 \| good	0.239 \| good	2.441 \| good	0.13 \| good
2025-11-17T17:00:00.000Z	26 \| good	4.308 \| good	9.784 \| good	28.179 \| good	0.243 \| good	3.127 \| good	0.135 \| good
2025-11-17T18:00:00.000Z	27 \| good	5.019 \| good	9.988 \| good	26.547 \| good	0.287 \| good	3.51 \| good	0.139 \| good
2025-11-17T19:00:00.000Z	33 \| good	5.51 \| good	10.114 \| good	25.121 \| good	0.292 \| good	3.848 \| good	0.14 \| good
2025-11-17T20:00:00.000Z	27 \| good	5.393 \| good	9.856 \| good	24.87 \| good	0.302 \| good	3.69 \| good	0.138 \| good
2025-11-17T21:00:00.000Z	27 \| good	5.19 \| good	9.633 \| good	24.757 \| good	0.32 \| good	3.47 \| good	0.139 \| good
2025-11-17T22:00:00.000Z	27 \| good	5.261 \| good	8.696 \| good	23.994 \| good	0.382 \| good	3.44 \| good	0.139 \| good
2025-11-17T23:00:00.000Z	27 \| good	4.998 \| good	8.163 \| good	24.692 \| good	0.362 \| good	3.392 \| good	0.137 \| good
2025-11-18T00:00:00.000Z	24 \| good	4.353 \| good	7.326 \| good	26.213 \| good	0.33 \| good	3.02 \| good	0.135 \| good
2025-11-18T01:00:00.000Z	26 \| good	4.276 \| good	6.19 \| good	27.892 \| good	0.295 \| good	2.696 \| good	0.133 \| good
2025-11-18T02:00:00.000Z	27 \| good	3.917 \| good	5.81 \| good	29.296 \| good	0.278 \| good	2.275 \| good	0.132 \| good
2025-11-18T03:00:00.000Z	26 \| good	3.642 \| good	5.753 \| good	28.266 \| good	0.271 \| good	1.832 \| good	0.13 \| good
2025-11-18T04:00:00.000Z	26 \| good	3.307 \| good	5.487 \| good	28.175 \| good	0.242 \| good	1.588 \| good	0.129 \| good
2025-11-18T05:00:00.000Z	26 \| good	2.909 \| good	4.815 \| good	27.951 \| good	0.199 \| good	1.576 \| good	0.126 \| good
2025-11-18T06:00:00.000Z	27 \| good	2.468 \| good	4.26 \| good	28.767 \| good	0.187 \| good	1.317 \| good	0.124 \| good
2025-11-18T07:00:00.000Z	28 \| good	2.435 \| good	4.179 \| good	30.007 \| good	0.182 \| good	1.441 \| good	0.123 \| good
2025-11-18T08:00:00.000Z	26 \| good	2.603 \| good	5.261 \| good	27.718 \| good	0.244 \| good	2.298 \| good	0.125 \| good
2025-11-18T09:00:00.000Z	26 \| good	2.83 \| good	5.235 \| good	27.533 \| good	0.2 \| good	3.108 \| good	0.126 \| good
2025-11-18T10:00:00.000Z	27 \| good	3.062 \| good	4.825 \| good	29.365 \| good	0.18 \| good	3.194 \| good	0.128 \| good
2025-11-18T11:00:00.000Z	29 \| good	2.966 \| good	3.404 \| good	31.154 \| good	0.158 \| good	2.85 \| good	0.125 \| good
2025-11-18T12:00:00.000Z	30 \| good	2.44 \| good	3.015 \| good	32.102 \| good	0.154 \| good	2.536 \| good	0.124 \| good
2025-11-18T13:00:00.000Z	29 \| good	2.721 \| good	3.583 \| good	30.651 \| good	0.094 \| good	3.276 \| good	0.125 \| good
2025-11-18T14:00:00.000Z	26 \| good	3.508 \| good	4.105 \| good	27.684 \| good	0.121 \| good	4.831 \| good	0.135 \| good
2025-11-18T15:00:00.000Z	22 \| good	4.275 \| good	5.119 \| good	23.215 \| good	0.14 \| good	6.786 \| good	0.143 \| good
2025-11-18T16:00:00.000Z	27 \| good	4.823 \| good	5.504 \| good	18.084 \| good	0.177 \| good	10.264 \| good	0.157 \| good
2025-11-18T17:00:00.000Z	33 \| good	5.507 \| good	6.346 \| good	15.515 \| good	0.227 \| good	14.186 \| good	0.172 \| good
2025-11-18T18:00:00.000Z	33 \| good	5.998 \| good	7.6 \| good	15.41 \| good	0.255 \| good	15.648 \| good	0.192 \| good
2025-11-18T19:00:00.000Z	22 \| good	3.808 \| good	5.46 \| good	24.453 \| good	0.191 \| good	7.668 \| good	0.145 \| good
2025-11-18T20:00:00.000Z	30 \| good	2.509 \| good	3.533 \| good	32.025 \| good	0.152 \| good	3.085 \| good	0.126 \| good

Blaydon

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Blaydon, Tyne and Wear air quality map: Stay updated on AQI near you

0.23ppm

How accurate is Tyne and Wear, UK air quality data?

Air quality and pollutant data for Tyne and Wear, UK are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Blaydon, Tyne and Wear?

The air quality information for Blaydon, Tyne and Wear is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Blaydon, Tyne and Wear at its worst?

In the past 24 hours, the air quality in Blaydon, Tyne and Wear was at its worst at 12:00:00 on 2025-11-16.

When did Blaydon, Tyne and Wear experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Blaydon, Tyne and Wear was observed at 03:00:00 on 2025-11-16.

What is the AQI in Blaydon, Tyne and Wear right now?

As of now, the AQI in Blaydon, Tyne and Wear is 27, indicating Good conditions.

What is the most common type of pollution in Blaydon, Tyne and Wear?

Blaydon, Tyne and Wear air has the highest levels of O3.

What should I do in case of poor air quality in Blaydon, Tyne and Wear?

Poor air quality in Blaydon, Tyne and Wear means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Blaydon, Tyne and Wear at the moment?

PM_2.5 levels in Blaydon, Tyne and Wear are currently 4.814 μg/m³.

What is the PM₁₀ level in Blaydon, Tyne and Wear at the moment?

The PM₁₀ concentration in Blaydon, Tyne and Wear is 14.843 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Blaydon, Tyne and Wear at the moment?

The current carbon monoxide (CO) concentration in Blaydon, Tyne and Wear is 0.24 ppm.

What is the sulfur dioxide (SO₂) level in Blaydon, Tyne and Wear at the moment?

Currently, Blaydon, Tyne and Wear has a sulfur dioxide (SO₂) concentration of 0.488 ppb.

What is the ozone (O₃) level in Blaydon, Tyne and Wear at the moment?

The current ozone (O₃) level in Blaydon, Tyne and Wear at the moment is 28.738 ppm.

What is the nitrogen dioxide (NO₂) level in Blaydon, Tyne and Wear at the moment?

Nitrogen dioxide (NO₂) level in Blaydon, Tyne and Wear at the moment is 5.777 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T01:00:00.000Z	35 \| good	4.357 \| good	14.221 \| good	37.727 \| good	0.44 \| good	2.159 \| good	1.475 \| good
2025-11-15T02:00:00.000Z	36 \| good	4.356 \| good	14.78 \| good	38.547 \| good	0.44 \| good	2.238 \| good	1.406 \| good
2025-11-15T03:00:00.000Z	35 \| good	4.787 \| good	14.052 \| good	38.319 \| good	0.517 \| good	1.321 \| good	1.351 \| good
2025-11-15T04:00:00.000Z	36 \| good	4.785 \| good	14.709 \| good	39.1 \| good	0.518 \| good	1.62 \| good	1.024 \| good
2025-11-15T05:00:00.000Z	36 \| good	4.933 \| good	16.358 \| good	39.045 \| good	0.439 \| good	1.196 \| good	0.943 \| good
2025-11-15T06:00:00.000Z	35 \| good	4.939 \| good	15.677 \| good	38.479 \| good	0.439 \| good	1.497 \| good	0.179 \| good
2025-11-15T07:00:00.000Z	35 \| good	5.536 \| good	18.083 \| good	38.373 \| good	0.44 \| good	3.379 \| good	0.178 \| good
2025-11-15T08:00:00.000Z	35 \| good	5.54 \| good	17.605 \| good	37.863 \| good	0.44 \| good	3.537 \| good	0.194 \| good
2025-11-15T09:00:00.000Z	35 \| good	5.786 \| good	15.659 \| good	37.721 \| good	0.44 \| good	4.662 \| good	0.18 \| good
2025-11-15T10:00:00.000Z	34 \| good	5.317 \| good	20.832 \| good	37.046 \| good	0.44 \| good	5.095 \| good	0.154 \| good
2025-11-15T11:00:00.000Z	33 \| good	5.417 \| good	17.979 \| good	36.012 \| good	0.519 \| good	6.829 \| good	0.119 \| good
2025-11-15T12:00:00.000Z	33 \| good	6.02 \| good	16.474 \| good	34.827 \| good	0.44 \| good	8.176 \| good	0.09 \| good
2025-11-15T13:00:00.000Z	31 \| good	5.477 \| good	16.434 \| good	33.645 \| good	0.44 \| good	9.962 \| good	0.072 \| good
2025-11-15T14:00:00.000Z	31 \| good	5.365 \| good	19.776 \| good	33.054 \| good	0.524 \| good	14.263 \| good	0.071 \| good
2025-11-15T15:00:00.000Z	31 \| good	5.207 \| good	17.092 \| good	32.895 \| good	0.441 \| good	13.62 \| good	0.073 \| good
2025-11-15T16:00:00.000Z	30 \| good	5.34 \| good	17.376 \| good	31.541 \| good	0.443 \| good	13.877 \| good	0.145 \| good
2025-11-15T17:00:00.000Z	33 \| good	5.767 \| good	20.919 \| good	31.737 \| good	0.439 \| good	10.116 \| good	0.23 \| good
2025-11-15T18:00:00.000Z	33 \| good	6.394 \| good	22.092 \| good	31.357 \| good	0.521 \| good	11.893 \| good	0.319 \| good
2025-11-15T19:00:00.000Z	33 \| good	6.301 \| good	21.642 \| good	31.058 \| good	0.443 \| good	13.39 \| good	0.282 \| good
2025-11-15T20:00:00.000Z	33 \| good	5.728 \| good	21.865 \| good	30.426 \| good	0.441 \| good	12.124 \| good	0.396 \| good
2025-11-15T21:00:00.000Z	33 \| good	5.68 \| good	21.906 \| good	30.768 \| good	0.439 \| good	10.978 \| good	0.339 \| good
2025-11-15T22:00:00.000Z	33 \| good	6.036 \| good	21.647 \| good	30.379 \| good	0.456 \| good	11.728 \| good	0.429 \| good
2025-11-15T23:00:00.000Z	33 \| good	6.047 \| good	22.066 \| good	30.353 \| good	0.439 \| good	8.601 \| good	0.223 \| good
2025-11-16T00:00:00.000Z	33 \| good	6.107 \| good	20.5 \| good	31.681 \| good	0.44 \| good	7.605 \| good	0.992 \| good
2025-11-16T01:00:00.000Z	38 \| good	6.552 \| good	21.458 \| good	30.929 \| good	0.44 \| good	4.752 \| good	1.541 \| good
2025-11-16T02:00:00.000Z	33 \| good	6.436 \| good	21.565 \| good	31.203 \| good	0.44 \| good	3.484 \| good	1.348 \| good
2025-11-16T03:00:00.000Z	33 \| good	5.859 \| good	22.437 \| good	33.03 \| good	0.442 \| good	4.198 \| good	0.879 \| good
2025-11-16T04:00:00.000Z	33 \| good	5.747 \| good	23.746 \| good	31.103 \| good	0.44 \| good	3.684 \| good	0.747 \| good
2025-11-16T05:00:00.000Z	33 \| good	5.724 \| good	23.836 \| good	29.279 \| good	0.44 \| good	4.03 \| good	0.738 \| good
2025-11-16T06:00:00.000Z	27 \| good	5.496 \| good	20.568 \| good	28.733 \| good	0.44 \| good	1.939 \| good	0.121 \| good
2025-11-16T07:00:00.000Z	28 \| good	5.478 \| good	20.619 \| good	29.752 \| good	0.521 \| good	2.431 \| good	0.136 \| good
2025-11-16T08:00:00.000Z	33 \| good	5.505 \| good	22.727 \| good	30.646 \| good	0.441 \| good	3.539 \| good	0.152 \| good
2025-11-16T09:00:00.000Z	33 \| good	6.061 \| good	19.522 \| good	31.964 \| good	0.44 \| good	5.637 \| good	0.138 \| good
2025-11-16T10:00:00.000Z	33 \| good	6.224 \| good	24.32 \| good	31.758 \| good	0.443 \| good	5.894 \| good	0.142 \| good
2025-11-16T11:00:00.000Z	33 \| good	5.779 \| good	23.291 \| good	34.039 \| good	0.443 \| good	8.701 \| good	0.119 \| good
2025-11-16T12:00:00.000Z	33 \| good	5.548 \| good	23.498 \| good	31.767 \| good	0.44 \| good	8.742 \| good	0.087 \| good
2025-11-16T13:00:00.000Z	33 \| good	6.097 \| good	23.681 \| good	31.878 \| good	0.577 \| good	7.217 \| good	0.078 \| good
2025-11-16T14:00:00.000Z	28 \| good	5.343 \| good	21.145 \| good	29.54 \| good	0.499 \| good	8.902 \| good	0.08 \| good
2025-11-16T15:00:00.000Z	33 \| good	5.656 \| good	20.413 \| good	29.493 \| good	0.501 \| good	7.919 \| good	0.101 \| good
2025-11-16T16:00:00.000Z	29 \| good	5.193 \| good	19.971 \| good	30.773 \| good	0.462 \| good	6.456 \| good	0.223 \| good
2025-11-16T17:00:00.000Z	33 \| good	5.956 \| good	20.276 \| good	31.404 \| good	0.382 \| good	2.867 \| good	0.234 \| good
2025-11-16T18:00:00.000Z	33 \| good	5.775 \| good	20.27 \| good	30.658 \| good	0.382 \| good	4.011 \| good	0.257 \| good
2025-11-16T19:00:00.000Z	28 \| good	4.945 \| good	15.732 \| good	30.378 \| good	0.508 \| good	6.585 \| good	0.23 \| good
2025-11-16T20:00:00.000Z	27 \| good	4.814 \| good	14.843 \| good	28.738 \| good	0.488 \| good	5.777 \| good	0.24 \| good
2025-11-16T21:00:00.000Z	27 \| good	4.522 \| good	14.456 \| good	27.872 \| good	0.569 \| good	4.603 \| good	0.215 \| good
2025-11-16T22:00:00.000Z	27 \| good	4.694 \| good	13.064 \| good	28.199 \| good	0.489 \| good	5.339 \| good	0.29 \| good
2025-11-16T23:00:00.000Z	27 \| good	4.674 \| good	13.522 \| good	27.207 \| good	0.442 \| good	4.521 \| good	0.277 \| good
2025-11-17T00:00:00.000Z	27 \| good	4.674 \| good	13.522 \| good	27.207 \| good	0.442 \| good	4.521 \| good	0.277 \| good
2025-11-16T21:00:00.000Z	30 \| good	2.694 \| good	5.947 \| good	31.824 \| good	0.177 \| good	1.607 \| good	0.119 \| good
2025-11-16T22:00:00.000Z	30 \| good	2.675 \| good	6.126 \| good	32.094 \| good	0.126 \| good	1.464 \| good	0.116 \| good
2025-11-16T23:00:00.000Z	30 \| good	2.581 \| good	6.107 \| good	32.322 \| good	0.115 \| good	1.169 \| good	0.115 \| good
2025-11-17T00:00:00.000Z	31 \| good	2.491 \| good	6.49 \| good	32.655 \| good	0.1 \| good	0.999 \| good	0.117 \| good
2025-11-17T01:00:00.000Z	33 \| good	2.333 \| good	6.431 \| good	35.577 \| good	0.088 \| good	0.865 \| good	0.116 \| good
2025-11-17T02:00:00.000Z	33 \| good	1.909 \| good	5.719 \| good	35.808 \| good	0.07 \| good	0.643 \| good	0.116 \| good
2025-11-17T03:00:00.000Z	32 \| good	1.905 \| good	5.982 \| good	35.089 \| good	0.06 \| good	0.608 \| good	0.117 \| good
2025-11-17T04:00:00.000Z	31 \| good	2.221 \| good	6.996 \| good	33.233 \| good	0.067 \| good	0.513 \| good	0.118 \| good
2025-11-17T05:00:00.000Z	31 \| good	2.759 \| good	8.019 \| good	33.045 \| good	0.081 \| good	0.385 \| good	0.119 \| good
2025-11-17T06:00:00.000Z	31 \| good	3.105 \| good	8.829 \| good	33.887 \| good	0.096 \| good	0.443 \| good	0.121 \| good
2025-11-17T07:00:00.000Z	31 \| good	3.145 \| good	8.969 \| good	33.275 \| good	0.127 \| good	0.764 \| good	0.125 \| good
2025-11-17T08:00:00.000Z	30 \| good	2.917 \| good	8.094 \| good	32.205 \| good	0.177 \| good	1.193 \| good	0.127 \| good
2025-11-17T09:00:00.000Z	30 \| good	2.596 \| good	7.294 \| good	31.852 \| good	0.206 \| good	1.417 \| good	0.127 \| good
2025-11-17T10:00:00.000Z	30 \| good	2.674 \| good	7.447 \| good	32.116 \| good	0.197 \| good	1.316 \| good	0.126 \| good
2025-11-17T11:00:00.000Z	31 \| good	2.778 \| good	7.317 \| good	32.795 \| good	0.182 \| good	1.253 \| good	0.127 \| good
2025-11-17T12:00:00.000Z	31 \| good	2.6 \| good	7.221 \| good	33.272 \| good	0.18 \| good	1.134 \| good	0.125 \| good
2025-11-17T13:00:00.000Z	31 \| good	2.614 \| good	7.522 \| good	33.576 \| good	0.181 \| good	1.154 \| good	0.125 \| good
2025-11-17T14:00:00.000Z	31 \| good	3.168 \| good	8.273 \| good	33.44 \| good	0.198 \| good	1.564 \| good	0.126 \| good
2025-11-17T15:00:00.000Z	31 \| good	3.368 \| good	8.865 \| good	32.73 \| good	0.217 \| good	1.841 \| good	0.128 \| good
2025-11-17T16:00:00.000Z	29 \| good	3.614 \| good	9.223 \| good	30.568 \| good	0.239 \| good	2.441 \| good	0.13 \| good
2025-11-17T17:00:00.000Z	26 \| good	4.308 \| good	9.784 \| good	28.179 \| good	0.243 \| good	3.127 \| good	0.135 \| good
2025-11-17T18:00:00.000Z	27 \| good	5.019 \| good	9.988 \| good	26.547 \| good	0.287 \| good	3.51 \| good	0.139 \| good
2025-11-17T19:00:00.000Z	33 \| good	5.51 \| good	10.114 \| good	25.121 \| good	0.292 \| good	3.848 \| good	0.14 \| good
2025-11-17T20:00:00.000Z	27 \| good	5.393 \| good	9.856 \| good	24.87 \| good	0.302 \| good	3.69 \| good	0.138 \| good
2025-11-17T21:00:00.000Z	27 \| good	5.19 \| good	9.633 \| good	24.757 \| good	0.32 \| good	3.47 \| good	0.139 \| good
2025-11-17T22:00:00.000Z	27 \| good	5.261 \| good	8.696 \| good	23.994 \| good	0.382 \| good	3.44 \| good	0.139 \| good
2025-11-17T23:00:00.000Z	27 \| good	4.998 \| good	8.163 \| good	24.692 \| good	0.362 \| good	3.392 \| good	0.137 \| good
2025-11-18T00:00:00.000Z	24 \| good	4.353 \| good	7.326 \| good	26.213 \| good	0.33 \| good	3.02 \| good	0.135 \| good
2025-11-18T01:00:00.000Z	26 \| good	4.276 \| good	6.19 \| good	27.892 \| good	0.295 \| good	2.696 \| good	0.133 \| good
2025-11-18T02:00:00.000Z	27 \| good	3.917 \| good	5.81 \| good	29.296 \| good	0.278 \| good	2.275 \| good	0.132 \| good
2025-11-18T03:00:00.000Z	26 \| good	3.642 \| good	5.753 \| good	28.266 \| good	0.271 \| good	1.832 \| good	0.13 \| good
2025-11-18T04:00:00.000Z	26 \| good	3.307 \| good	5.487 \| good	28.175 \| good	0.242 \| good	1.588 \| good	0.129 \| good
2025-11-18T05:00:00.000Z	26 \| good	2.909 \| good	4.815 \| good	27.951 \| good	0.199 \| good	1.576 \| good	0.126 \| good
2025-11-18T06:00:00.000Z	27 \| good	2.468 \| good	4.26 \| good	28.767 \| good	0.187 \| good	1.317 \| good	0.124 \| good
2025-11-18T07:00:00.000Z	28 \| good	2.435 \| good	4.179 \| good	30.007 \| good	0.182 \| good	1.441 \| good	0.123 \| good
2025-11-18T08:00:00.000Z	26 \| good	2.603 \| good	5.261 \| good	27.718 \| good	0.244 \| good	2.298 \| good	0.125 \| good
2025-11-18T09:00:00.000Z	26 \| good	2.83 \| good	5.235 \| good	27.533 \| good	0.2 \| good	3.108 \| good	0.126 \| good
2025-11-18T10:00:00.000Z	27 \| good	3.062 \| good	4.825 \| good	29.365 \| good	0.18 \| good	3.194 \| good	0.128 \| good
2025-11-18T11:00:00.000Z	29 \| good	2.966 \| good	3.404 \| good	31.154 \| good	0.158 \| good	2.85 \| good	0.125 \| good
2025-11-18T12:00:00.000Z	30 \| good	2.44 \| good	3.015 \| good	32.102 \| good	0.154 \| good	2.536 \| good	0.124 \| good
2025-11-18T13:00:00.000Z	29 \| good	2.721 \| good	3.583 \| good	30.651 \| good	0.094 \| good	3.276 \| good	0.125 \| good
2025-11-18T14:00:00.000Z	26 \| good	3.508 \| good	4.105 \| good	27.684 \| good	0.121 \| good	4.831 \| good	0.135 \| good
2025-11-18T15:00:00.000Z	22 \| good	4.275 \| good	5.119 \| good	23.215 \| good	0.14 \| good	6.786 \| good	0.143 \| good
2025-11-18T16:00:00.000Z	27 \| good	4.823 \| good	5.504 \| good	18.084 \| good	0.177 \| good	10.264 \| good	0.157 \| good
2025-11-18T17:00:00.000Z	33 \| good	5.507 \| good	6.346 \| good	15.515 \| good	0.227 \| good	14.186 \| good	0.172 \| good
2025-11-18T18:00:00.000Z	33 \| good	5.998 \| good	7.6 \| good	15.41 \| good	0.255 \| good	15.648 \| good	0.192 \| good
2025-11-18T19:00:00.000Z	22 \| good	3.808 \| good	5.46 \| good	24.453 \| good	0.191 \| good	7.668 \| good	0.145 \| good
2025-11-18T20:00:00.000Z	30 \| good	2.509 \| good	3.533 \| good	32.025 \| good	0.152 \| good	3.085 \| good	0.126 \| good

Live air quality index in Blaydon, Tyne and Wear today

Major air pollutants in Blaydon, Tyne and Wear

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Blaydon, Tyne and Wear air quality forecast and history

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Blaydon, Tyne and Wear air quality map: Stay updated on AQI near you

Air quality in nearby cities

Whickham, Tyne and Wear

Newcastle Upon Tyne, Tyne and Wear

Gateshead, Tyne and Wear

Prudhoe, Northumberland

Longbenton, Tyne and Wear

Ponteland, Northumberland

How accurate is Tyne and Wear, UK air quality data?

Air quality levels in UK

Frequently asked questions

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What is the PM2.5 level in Blaydon, Tyne and Wear at the moment?

What is the PM10 level in Blaydon, Tyne and Wear at the moment?

What is the carbon monoxide (CO) level in Blaydon, Tyne and Wear at the moment?

What is the sulfur dioxide (SO2) level in Blaydon, Tyne and Wear at the moment?

What is the ozone (O3) level in Blaydon, Tyne and Wear at the moment?

What is the nitrogen dioxide (NO2) level in Blaydon, Tyne and Wear at the moment?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 level in Blaydon, Tyne and Wear at the moment?

What is the PM₁₀ level in Blaydon, Tyne and Wear at the moment?

What is the sulfur dioxide (SO₂) level in Blaydon, Tyne and Wear at the moment?

What is the ozone (O₃) level in Blaydon, Tyne and Wear at the moment?

What is the nitrogen dioxide (NO₂) level in Blaydon, Tyne and Wear at the moment?