What are the current PM10 levels at South Shields, Tyne and Wear?

The current PM10 levels in South Shields, Tyne and Wear are 13.567 μg/m3.

What are the current sulfur dioxide (SO2) levels at South Shields, Tyne and Wear?

The current sulfur dioxide (SO2) levels in South Shields, Tyne and Wear are 0.87 ppb.

What are the current ozone (O3) levels at South Shields, Tyne and Wear?

The current ozone (O3) levels at South Shields, Tyne and Wear is 41.668 ppm.

What are the current nitrogen dioxide (NO2) levels at South Shields, Tyne and Wear?

The current nitrogen dioxide (NO2) levels at South Shields, Tyne and Wear is 2.321 ppb.

Real-time air quality index in South Shields, Tyne and Wear today

Q: What are the current PM2.5 levels in South Shields, Tyne and Wear?

The measured PM2.5 levels in South Shields, Tyne and Wear at present are 4.237 μg/m3.

Stay updated with real-time air quality in South Shields, 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

South Shields, Tyne and Wear

Last updated: ... (Local time)

Common air pollutants in South Shields, Tyne and Wear

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.24 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.57 μg/m³

155

255

425

605+

Ozone (O₃)

41.67 ppb

201

201+

Sulfur Dioxide (SO₂)

0.87 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.32 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.10 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

South Shields, Tyne and Wear

Get Live Pollen Counts

South Shields, Tyne and Wear

Scroll To Air Quality Map

Track live South Shields, Tyne and Wear air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	36 \| good	5.227 \| good	11.301 \| good	39.392 \| good	0.768 \| good	6.458 \| good	0.111 \| good
2026-03-28T00:00:00.000Z	34 \| good	5.133 \| good	17.159 \| good	36.922 \| good	0.641 \| good	3.01 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	36 \| good	5.108 \| good	14.796 \| good	39.5 \| good	0.642 \| good	2.324 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	36 \| good	5.156 \| good	12.83 \| good	39.274 \| good	0.556 \| good	1.644 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	34 \| good	5.447 \| good	13.481 \| good	37.137 \| good	0.43 \| good	1.289 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	36 \| good	5.849 \| good	14.671 \| good	39.007 \| good	0.586 \| good	1.109 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	37 \| good	6.004 \| good	13.527 \| good	39.774 \| good	0.656 \| good	1.476 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	36 \| good	6.084 \| good	13.808 \| good	39.434 \| good	0.587 \| good	1.331 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	37 \| good	6.142 \| good	13.006 \| good	39.704 \| good	0.431 \| good	1.094 \| good	0.08 \| good
2026-03-28T08:00:00.000Z	35 \| good	6.323 \| good	14.319 \| good	38.454 \| good	0.555 \| good	1.259 \| good	0.091 \| good
2026-03-28T09:00:00.000Z	36 \| good	6.232 \| good	14.075 \| good	39.225 \| good	0.858 \| good	1.801 \| good	0.098 \| good
2026-03-28T10:00:00.000Z	36 \| good	6.044 \| good	15.137 \| good	38.973 \| good	0.734 \| good	1.718 \| good	0.107 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.772 \| good	16.211 \| good	39.406 \| good	0.853 \| good	2.434 \| good	0.111 \| good
2026-03-28T12:00:00.000Z	36 \| good	5.804 \| good	14.291 \| good	39.456 \| good	0.635 \| good	2.647 \| good	0.106 \| good
2026-03-28T13:00:00.000Z	37 \| good	6.351 \| good	13.692 \| good	39.523 \| good	0.635 \| good	2.777 \| good	0.105 \| good
2026-03-28T14:00:00.000Z	36 \| good	5.689 \| good	13.665 \| good	39.306 \| good	0.634 \| good	2.458 \| good	0.101 \| good
2026-03-28T15:00:00.000Z	36 \| good	5.51 \| good	13.186 \| good	39.048 \| good	0.783 \| good	2.91 \| good	0.122 \| good
2026-03-28T16:00:00.000Z	37 \| good	5.286 \| good	13.566 \| good	39.809 \| good	0.833 \| good	2.741 \| good	0.106 \| good
2026-03-28T17:00:00.000Z	37 \| good	4.724 \| good	13.66 \| good	39.737 \| good	0.734 \| good	2.093 \| good	0.107 \| good
2026-03-28T18:00:00.000Z	38 \| good	4.737 \| good	11.972 \| good	41.318 \| good	0.79 \| good	2.622 \| good	0.105 \| good
2026-03-28T19:00:00.000Z	36 \| good	4.899 \| good	9.498 \| good	39.37 \| good	0.635 \| good	2.917 \| good	0.122 \| good
2026-03-28T20:00:00.000Z	35 \| good	5.085 \| good	9.955 \| good	38.49 \| good	0.648 \| good	2.449 \| good	0.125 \| good
2026-03-28T21:00:00.000Z	36 \| good	4.836 \| good	12.108 \| good	38.688 \| good	0.488 \| good	2.475 \| good	0.112 \| good
2026-03-28T22:00:00.000Z	35 \| good	4.845 \| good	10.061 \| good	37.688 \| good	0.488 \| good	2.921 \| good	0.117 \| good
2026-03-28T23:00:00.000Z	34 \| good	4.862 \| good	13.956 \| good	37.371 \| good	0.558 \| good	2.886 \| good	0.112 \| good
2026-03-29T00:00:00.000Z	34 \| good	4.631 \| good	11.578 \| good	36.797 \| good	0.558 \| good	3.006 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	34 \| good	4.363 \| good	11.165 \| good	36.774 \| good	0.608 \| good	3.406 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	34 \| good	4.304 \| good	10.892 \| good	36.932 \| good	0.488 \| good	3.814 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	4.175 \| good	9.983 \| good	35.671 \| good	0.489 \| good	5.186 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	32 \| good	3.758 \| good	9.651 \| good	34.559 \| good	0.605 \| good	7.11 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	31 \| good	4.182 \| good	10.512 \| good	33.849 \| good	0.431 \| good	6.173 \| good	0.11 \| good
2026-03-29T06:00:00.000Z	30 \| good	4.308 \| good	10.544 \| good	31.895 \| good	0.483 \| good	3.679 \| good	0.105 \| good
2026-03-29T07:00:00.000Z	29 \| good	4.466 \| good	10.24 \| good	30.868 \| good	0.53 \| good	3.033 \| good	0.105 \| good
2026-03-29T08:00:00.000Z	29 \| good	4.011 \| good	10.585 \| good	31.092 \| good	0.647 \| good	4.784 \| good	0.114 \| good
2026-03-29T09:00:00.000Z	31 \| good	3.893 \| good	9.567 \| good	34.274 \| good	0.693 \| good	2.821 \| good	0.13 \| good
2026-03-29T10:00:00.000Z	32 \| good	3.958 \| good	9.696 \| good	34.915 \| good	0.478 \| good	3.825 \| good	0.125 \| good
2026-03-29T11:00:00.000Z	33 \| good	3.955 \| good	10.131 \| good	36.004 \| good	0.635 \| good	3.928 \| good	0.098 \| good
2026-03-29T12:00:00.000Z	32 \| good	4.278 \| good	10.116 \| good	35.4 \| good	0.691 \| good	3.001 \| good	0.096 \| good
2026-03-29T13:00:00.000Z	32 \| good	3.607 \| good	9.441 \| good	35.184 \| good	0.81 \| good	3.248 \| good	0.109 \| good
2026-03-29T14:00:00.000Z	33 \| good	3.412 \| good	9.231 \| good	36.386 \| good	0.633 \| good	3.416 \| good	0.102 \| good
2026-03-29T15:00:00.000Z	35 \| good	3.589 \| good	8.98 \| good	37.993 \| good	0.633 \| good	2.714 \| good	0.107 \| good
2026-03-29T16:00:00.000Z	37 \| good	3.545 \| good	9.961 \| good	39.742 \| good	0.691 \| good	2.349 \| good	0.107 \| good
2026-03-29T17:00:00.000Z	38 \| good	4.012 \| good	8.614 \| good	40.955 \| good	0.79 \| good	1.682 \| good	0.105 \| good
2026-03-29T18:00:00.000Z	38 \| good	4.28 \| good	12.825 \| good	41.041 \| good	0.889 \| good	1.506 \| good	0.102 \| good
2026-03-29T19:00:00.000Z	38 \| good	4.14 \| good	10.242 \| good	41.444 \| good	0.985 \| good	1.659 \| good	0.116 \| good
2026-03-29T20:00:00.000Z	39 \| good	4.547 \| good	12.363 \| good	42.034 \| good	1.111 \| good	1.849 \| good	0.149 \| good
2026-03-29T21:00:00.000Z	39 \| good	4.509 \| good	11.193 \| good	42.394 \| good	0.889 \| good	2.311 \| good	0.101 \| good
2026-03-29T22:00:00.000Z	39 \| good	4.237 \| good	13.567 \| good	41.668 \| good	0.87 \| good	2.321 \| good	0.1 \| good
2026-03-29T23:00:00.000Z	46 \| good	3.359 \| good	7.749 \| good	49.867 \| good	0.148 \| good	0.9 \| good	0.129 \| good
2026-03-30T00:00:00.000Z	45 \| good	3.455 \| good	7.87 \| good	49.491 \| good	0.113 \| good	0.792 \| good	0.129 \| good
2026-03-30T01:00:00.000Z	45 \| good	3.357 \| good	7.488 \| good	48.804 \| good	0.1 \| good	0.734 \| good	0.128 \| good
2026-03-30T02:00:00.000Z	45 \| good	3.294 \| good	7.986 \| good	48.778 \| good	0.099 \| good	0.66 \| good	0.126 \| good
2026-03-30T03:00:00.000Z	45 \| good	3.278 \| good	8.17 \| good	48.928 \| good	0.098 \| good	0.653 \| good	0.124 \| good
2026-03-30T04:00:00.000Z	45 \| good	3.588 \| good	8.672 \| good	49.054 \| good	0.105 \| good	0.7 \| good	0.123 \| good
2026-03-30T05:00:00.000Z	45 \| good	3.837 \| good	9.167 \| good	48.501 \| good	0.114 \| good	0.797 \| good	0.122 \| good
2026-03-30T06:00:00.000Z	44 \| good	4.042 \| good	9.466 \| good	47.934 \| good	0.135 \| good	1.101 \| good	0.121 \| good
2026-03-30T07:00:00.000Z	44 \| good	4.387 \| good	9.446 \| good	47.289 \| good	0.156 \| good	1.478 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	44 \| good	4.221 \| good	9.829 \| good	48.282 \| good	0.163 \| good	1.468 \| good	0.126 \| good
2026-03-30T09:00:00.000Z	45 \| good	3.862 \| good	7.976 \| good	49.264 \| good	0.158 \| good	1.109 \| good	0.126 \| good
2026-03-30T10:00:00.000Z	47 \| good	3.572 \| good	7.842 \| good	50.558 \| good	0.139 \| good	0.976 \| good	0.126 \| good
2026-03-30T11:00:00.000Z	47 \| good	3.367 \| good	7.88 \| good	50.939 \| good	0.117 \| good	0.964 \| good	0.124 \| good
2026-03-30T12:00:00.000Z	48 \| good	3.236 \| good	7.628 \| good	52.297 \| good	0.113 \| good	0.953 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	48 \| good	3.201 \| good	7.603 \| good	52.446 \| good	0.11 \| good	1.007 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	49 \| good	3.242 \| good	8.678 \| good	52.76 \| good	0.114 \| good	1.046 \| good	0.124 \| good
2026-03-30T15:00:00.000Z	49 \| good	3.333 \| good	9.547 \| good	52.885 \| good	0.123 \| good	1.081 \| good	0.123 \| good
2026-03-30T16:00:00.000Z	49 \| good	3.474 \| good	9.931 \| good	52.725 \| good	0.129 \| good	1.219 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.725 \| good	9.747 \| good	51.204 \| good	0.137 \| good	1.344 \| good	0.125 \| good
2026-03-30T18:00:00.000Z	46 \| good	3.971 \| good	9.017 \| good	49.504 \| good	0.157 \| good	1.952 \| good	0.127 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.033 \| good	8.219 \| good	47.251 \| good	0.216 \| good	2.329 \| good	0.127 \| good
2026-03-30T20:00:00.000Z	43 \| good	3.967 \| good	8.989 \| good	46.413 \| good	0.216 \| good	2.215 \| good	0.126 \| good
2026-03-30T21:00:00.000Z	43 \| good	3.952 \| good	9.004 \| good	45.74 \| good	0.231 \| good	2.099 \| good	0.127 \| good
2026-03-30T22:00:00.000Z	42 \| good	4.019 \| good	7.864 \| good	45.375 \| good	0.21 \| good	2.089 \| good	0.127 \| good
2026-03-30T23:00:00.000Z	41 \| good	3.966 \| good	8.276 \| good	44.268 \| good	0.192 \| good	1.924 \| good	0.125 \| good
2026-03-31T00:00:00.000Z	41 \| good	3.914 \| good	9.02 \| good	44.25 \| good	0.184 \| good	1.822 \| good	0.123 \| good
2026-03-31T01:00:00.000Z	40 \| good	3.866 \| good	9.425 \| good	43.18 \| good	0.175 \| good	1.59 \| good	0.122 \| good
2026-03-31T02:00:00.000Z	37 \| good	3.825 \| good	9.764 \| good	40.464 \| good	0.166 \| good	1.558 \| good	0.122 \| good
2026-03-31T03:00:00.000Z	35 \| good	3.978 \| good	10.247 \| good	37.922 \| good	0.159 \| good	1.699 \| good	0.122 \| good
2026-03-31T04:00:00.000Z	34 \| good	4.218 \| good	10.682 \| good	36.866 \| good	0.14 \| good	1.681 \| good	0.122 \| good
2026-03-31T05:00:00.000Z	33 \| good	4.15 \| good	7.295 \| good	35.826 \| good	0.153 \| good	1.716 \| good	0.122 \| good
2026-03-31T06:00:00.000Z	32 \| good	3.997 \| good	7.031 \| good	34.99 \| good	0.16 \| good	2.188 \| good	0.123 \| good
2026-03-31T07:00:00.000Z	32 \| good	4.523 \| good	6.908 \| good	34.709 \| good	0.183 \| good	3.377 \| good	0.126 \| good
2026-03-31T08:00:00.000Z	31 \| good	4.308 \| good	6.683 \| good	32.606 \| good	0.258 \| good	3.465 \| good	0.125 \| good
2026-03-31T09:00:00.000Z	29 \| good	3.36 \| good	6.169 \| good	30.652 \| good	0.235 \| good	2.372 \| good	0.119 \| good
2026-03-31T10:00:00.000Z	28 \| good	3.052 \| good	5.681 \| good	30.394 \| good	0.195 \| good	1.859 \| good	0.118 \| good
2026-03-31T11:00:00.000Z	29 \| good	2.962 \| good	5.16 \| good	31.108 \| good	0.169 \| good	1.641 \| good	0.116 \| good
2026-03-31T12:00:00.000Z	31 \| good	2.962 \| good	5.064 \| good	32.776 \| good	0.137 \| good	1.552 \| good	0.114 \| good
2026-03-31T13:00:00.000Z	32 \| good	3.066 \| good	4.878 \| good	35.21 \| good	0.126 \| good	1.409 \| good	0.112 \| good
2026-03-31T14:00:00.000Z	32 \| good	3.266 \| good	5.23 \| good	35.42 \| good	0.128 \| good	1.459 \| good	0.112 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.202 \| good	5.19 \| good	34.286 \| good	0.132 \| good	1.67 \| good	0.109 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.451 \| good	5.308 \| good	32.887 \| good	0.142 \| good	1.886 \| good	0.111 \| good
2026-03-31T17:00:00.000Z	30 \| good	3.869 \| good	5.89 \| good	31.978 \| good	0.192 \| good	2.674 \| good	0.117 \| good
2026-03-31T18:00:00.000Z	30 \| good	4.096 \| good	6.322 \| good	32.082 \| good	0.192 \| good	3.966 \| good	0.118 \| good
2026-03-31T19:00:00.000Z	30 \| good	4.499 \| good	6.528 \| good	31.559 \| good	0.244 \| good	4.136 \| good	0.122 \| good
2026-03-31T20:00:00.000Z	29 \| good	4.316 \| good	8.471 \| good	31.347 \| good	0.284 \| good	3.855 \| good	0.117 \| good
2026-03-31T21:00:00.000Z	28 \| good	4.438 \| good	7.577 \| good	30.458 \| good	0.347 \| good	3.971 \| good	0.118 \| good
2026-03-31T22:00:00.000Z	29 \| good	4.864 \| good	8.625 \| good	30.815 \| good	0.372 \| good	4.529 \| good	0.12 \| good

South Shields

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South Shields, Tyne and Wear air quality map: Real-time AQI near you

0.10ppm

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

Air quality measurements for Tyne and Wear, UK meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

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 is the air quality data for South Shields, Tyne and Wear updated?

Air quality data for South Shields, Tyne and Wear is updated on an hourly basis.

When did South Shields, Tyne and Wear experience the worst air quality in the last 24 hours?

The worst air quality in South Shields, Tyne and Wear was recorded at 09:00:00 on 2026-03-29.

When did South Shields, Tyne and Wear have its best air quality in the last 24 hours?

The best air quality in South Shields, Tyne and Wear was recorded at 08:00:00 on 2026-03-29.

What is the real-time air quality index for South Shields, Tyne and Wear?

The real-time air quality index in South Shields, Tyne and Wear is 39, currently categorized as Good.

Which pollutant is found most often in South Shields, Tyne and Wear?

The most common pollutant in South Shields, Tyne and Wear is O3.

What can I do if the air quality in South Shields, Tyne and Wear is poor?

If the air quality in South Shields, Tyne and Wear is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in South Shields, Tyne and Wear?

The measured PM_2.5 levels in South Shields, Tyne and Wear at present are 4.237 μg/m³.

What are the current PM₁₀ levels at South Shields, Tyne and Wear?

The current PM₁₀ levels in South Shields, Tyne and Wear are 13.567 μg/m³.

What are the current carbon monoxide (CO) levels at South Shields, Tyne and Wear?

The current carbon monoxide (CO) level in South Shields, Tyne and Wear is 0.1 ppm.

What are the current sulfur dioxide (SO₂) levels at South Shields, Tyne and Wear?

The current sulfur dioxide (SO₂) levels in South Shields, Tyne and Wear are 0.87 ppb.

What are the current ozone (O₃) levels at South Shields, Tyne and Wear?

The current ozone (O₃) levels at South Shields, Tyne and Wear is 41.668 ppm.

What are the current nitrogen dioxide (NO₂) levels at South Shields, Tyne and Wear?

The current nitrogen dioxide (NO₂) levels at South Shields, Tyne and Wear is 2.321 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	36 \| good	5.227 \| good	11.301 \| good	39.392 \| good	0.768 \| good	6.458 \| good	0.111 \| good
2026-03-28T00:00:00.000Z	34 \| good	5.133 \| good	17.159 \| good	36.922 \| good	0.641 \| good	3.01 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	36 \| good	5.108 \| good	14.796 \| good	39.5 \| good	0.642 \| good	2.324 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	36 \| good	5.156 \| good	12.83 \| good	39.274 \| good	0.556 \| good	1.644 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	34 \| good	5.447 \| good	13.481 \| good	37.137 \| good	0.43 \| good	1.289 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	36 \| good	5.849 \| good	14.671 \| good	39.007 \| good	0.586 \| good	1.109 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	37 \| good	6.004 \| good	13.527 \| good	39.774 \| good	0.656 \| good	1.476 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	36 \| good	6.084 \| good	13.808 \| good	39.434 \| good	0.587 \| good	1.331 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	37 \| good	6.142 \| good	13.006 \| good	39.704 \| good	0.431 \| good	1.094 \| good	0.08 \| good
2026-03-28T08:00:00.000Z	35 \| good	6.323 \| good	14.319 \| good	38.454 \| good	0.555 \| good	1.259 \| good	0.091 \| good
2026-03-28T09:00:00.000Z	36 \| good	6.232 \| good	14.075 \| good	39.225 \| good	0.858 \| good	1.801 \| good	0.098 \| good
2026-03-28T10:00:00.000Z	36 \| good	6.044 \| good	15.137 \| good	38.973 \| good	0.734 \| good	1.718 \| good	0.107 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.772 \| good	16.211 \| good	39.406 \| good	0.853 \| good	2.434 \| good	0.111 \| good
2026-03-28T12:00:00.000Z	36 \| good	5.804 \| good	14.291 \| good	39.456 \| good	0.635 \| good	2.647 \| good	0.106 \| good
2026-03-28T13:00:00.000Z	37 \| good	6.351 \| good	13.692 \| good	39.523 \| good	0.635 \| good	2.777 \| good	0.105 \| good
2026-03-28T14:00:00.000Z	36 \| good	5.689 \| good	13.665 \| good	39.306 \| good	0.634 \| good	2.458 \| good	0.101 \| good
2026-03-28T15:00:00.000Z	36 \| good	5.51 \| good	13.186 \| good	39.048 \| good	0.783 \| good	2.91 \| good	0.122 \| good
2026-03-28T16:00:00.000Z	37 \| good	5.286 \| good	13.566 \| good	39.809 \| good	0.833 \| good	2.741 \| good	0.106 \| good
2026-03-28T17:00:00.000Z	37 \| good	4.724 \| good	13.66 \| good	39.737 \| good	0.734 \| good	2.093 \| good	0.107 \| good
2026-03-28T18:00:00.000Z	38 \| good	4.737 \| good	11.972 \| good	41.318 \| good	0.79 \| good	2.622 \| good	0.105 \| good
2026-03-28T19:00:00.000Z	36 \| good	4.899 \| good	9.498 \| good	39.37 \| good	0.635 \| good	2.917 \| good	0.122 \| good
2026-03-28T20:00:00.000Z	35 \| good	5.085 \| good	9.955 \| good	38.49 \| good	0.648 \| good	2.449 \| good	0.125 \| good
2026-03-28T21:00:00.000Z	36 \| good	4.836 \| good	12.108 \| good	38.688 \| good	0.488 \| good	2.475 \| good	0.112 \| good
2026-03-28T22:00:00.000Z	35 \| good	4.845 \| good	10.061 \| good	37.688 \| good	0.488 \| good	2.921 \| good	0.117 \| good
2026-03-28T23:00:00.000Z	34 \| good	4.862 \| good	13.956 \| good	37.371 \| good	0.558 \| good	2.886 \| good	0.112 \| good
2026-03-29T00:00:00.000Z	34 \| good	4.631 \| good	11.578 \| good	36.797 \| good	0.558 \| good	3.006 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	34 \| good	4.363 \| good	11.165 \| good	36.774 \| good	0.608 \| good	3.406 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	34 \| good	4.304 \| good	10.892 \| good	36.932 \| good	0.488 \| good	3.814 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	4.175 \| good	9.983 \| good	35.671 \| good	0.489 \| good	5.186 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	32 \| good	3.758 \| good	9.651 \| good	34.559 \| good	0.605 \| good	7.11 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	31 \| good	4.182 \| good	10.512 \| good	33.849 \| good	0.431 \| good	6.173 \| good	0.11 \| good
2026-03-29T06:00:00.000Z	30 \| good	4.308 \| good	10.544 \| good	31.895 \| good	0.483 \| good	3.679 \| good	0.105 \| good
2026-03-29T07:00:00.000Z	29 \| good	4.466 \| good	10.24 \| good	30.868 \| good	0.53 \| good	3.033 \| good	0.105 \| good
2026-03-29T08:00:00.000Z	29 \| good	4.011 \| good	10.585 \| good	31.092 \| good	0.647 \| good	4.784 \| good	0.114 \| good
2026-03-29T09:00:00.000Z	31 \| good	3.893 \| good	9.567 \| good	34.274 \| good	0.693 \| good	2.821 \| good	0.13 \| good
2026-03-29T10:00:00.000Z	32 \| good	3.958 \| good	9.696 \| good	34.915 \| good	0.478 \| good	3.825 \| good	0.125 \| good
2026-03-29T11:00:00.000Z	33 \| good	3.955 \| good	10.131 \| good	36.004 \| good	0.635 \| good	3.928 \| good	0.098 \| good
2026-03-29T12:00:00.000Z	32 \| good	4.278 \| good	10.116 \| good	35.4 \| good	0.691 \| good	3.001 \| good	0.096 \| good
2026-03-29T13:00:00.000Z	32 \| good	3.607 \| good	9.441 \| good	35.184 \| good	0.81 \| good	3.248 \| good	0.109 \| good
2026-03-29T14:00:00.000Z	33 \| good	3.412 \| good	9.231 \| good	36.386 \| good	0.633 \| good	3.416 \| good	0.102 \| good
2026-03-29T15:00:00.000Z	35 \| good	3.589 \| good	8.98 \| good	37.993 \| good	0.633 \| good	2.714 \| good	0.107 \| good
2026-03-29T16:00:00.000Z	37 \| good	3.545 \| good	9.961 \| good	39.742 \| good	0.691 \| good	2.349 \| good	0.107 \| good
2026-03-29T17:00:00.000Z	38 \| good	4.012 \| good	8.614 \| good	40.955 \| good	0.79 \| good	1.682 \| good	0.105 \| good
2026-03-29T18:00:00.000Z	38 \| good	4.28 \| good	12.825 \| good	41.041 \| good	0.889 \| good	1.506 \| good	0.102 \| good
2026-03-29T19:00:00.000Z	38 \| good	4.14 \| good	10.242 \| good	41.444 \| good	0.985 \| good	1.659 \| good	0.116 \| good
2026-03-29T20:00:00.000Z	39 \| good	4.547 \| good	12.363 \| good	42.034 \| good	1.111 \| good	1.849 \| good	0.149 \| good
2026-03-29T21:00:00.000Z	39 \| good	4.509 \| good	11.193 \| good	42.394 \| good	0.889 \| good	2.311 \| good	0.101 \| good
2026-03-29T22:00:00.000Z	39 \| good	4.237 \| good	13.567 \| good	41.668 \| good	0.87 \| good	2.321 \| good	0.1 \| good
2026-03-29T23:00:00.000Z	46 \| good	3.359 \| good	7.749 \| good	49.867 \| good	0.148 \| good	0.9 \| good	0.129 \| good
2026-03-30T00:00:00.000Z	45 \| good	3.455 \| good	7.87 \| good	49.491 \| good	0.113 \| good	0.792 \| good	0.129 \| good
2026-03-30T01:00:00.000Z	45 \| good	3.357 \| good	7.488 \| good	48.804 \| good	0.1 \| good	0.734 \| good	0.128 \| good
2026-03-30T02:00:00.000Z	45 \| good	3.294 \| good	7.986 \| good	48.778 \| good	0.099 \| good	0.66 \| good	0.126 \| good
2026-03-30T03:00:00.000Z	45 \| good	3.278 \| good	8.17 \| good	48.928 \| good	0.098 \| good	0.653 \| good	0.124 \| good
2026-03-30T04:00:00.000Z	45 \| good	3.588 \| good	8.672 \| good	49.054 \| good	0.105 \| good	0.7 \| good	0.123 \| good
2026-03-30T05:00:00.000Z	45 \| good	3.837 \| good	9.167 \| good	48.501 \| good	0.114 \| good	0.797 \| good	0.122 \| good
2026-03-30T06:00:00.000Z	44 \| good	4.042 \| good	9.466 \| good	47.934 \| good	0.135 \| good	1.101 \| good	0.121 \| good
2026-03-30T07:00:00.000Z	44 \| good	4.387 \| good	9.446 \| good	47.289 \| good	0.156 \| good	1.478 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	44 \| good	4.221 \| good	9.829 \| good	48.282 \| good	0.163 \| good	1.468 \| good	0.126 \| good
2026-03-30T09:00:00.000Z	45 \| good	3.862 \| good	7.976 \| good	49.264 \| good	0.158 \| good	1.109 \| good	0.126 \| good
2026-03-30T10:00:00.000Z	47 \| good	3.572 \| good	7.842 \| good	50.558 \| good	0.139 \| good	0.976 \| good	0.126 \| good
2026-03-30T11:00:00.000Z	47 \| good	3.367 \| good	7.88 \| good	50.939 \| good	0.117 \| good	0.964 \| good	0.124 \| good
2026-03-30T12:00:00.000Z	48 \| good	3.236 \| good	7.628 \| good	52.297 \| good	0.113 \| good	0.953 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	48 \| good	3.201 \| good	7.603 \| good	52.446 \| good	0.11 \| good	1.007 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	49 \| good	3.242 \| good	8.678 \| good	52.76 \| good	0.114 \| good	1.046 \| good	0.124 \| good
2026-03-30T15:00:00.000Z	49 \| good	3.333 \| good	9.547 \| good	52.885 \| good	0.123 \| good	1.081 \| good	0.123 \| good
2026-03-30T16:00:00.000Z	49 \| good	3.474 \| good	9.931 \| good	52.725 \| good	0.129 \| good	1.219 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.725 \| good	9.747 \| good	51.204 \| good	0.137 \| good	1.344 \| good	0.125 \| good
2026-03-30T18:00:00.000Z	46 \| good	3.971 \| good	9.017 \| good	49.504 \| good	0.157 \| good	1.952 \| good	0.127 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.033 \| good	8.219 \| good	47.251 \| good	0.216 \| good	2.329 \| good	0.127 \| good
2026-03-30T20:00:00.000Z	43 \| good	3.967 \| good	8.989 \| good	46.413 \| good	0.216 \| good	2.215 \| good	0.126 \| good
2026-03-30T21:00:00.000Z	43 \| good	3.952 \| good	9.004 \| good	45.74 \| good	0.231 \| good	2.099 \| good	0.127 \| good
2026-03-30T22:00:00.000Z	42 \| good	4.019 \| good	7.864 \| good	45.375 \| good	0.21 \| good	2.089 \| good	0.127 \| good
2026-03-30T23:00:00.000Z	41 \| good	3.966 \| good	8.276 \| good	44.268 \| good	0.192 \| good	1.924 \| good	0.125 \| good
2026-03-31T00:00:00.000Z	41 \| good	3.914 \| good	9.02 \| good	44.25 \| good	0.184 \| good	1.822 \| good	0.123 \| good
2026-03-31T01:00:00.000Z	40 \| good	3.866 \| good	9.425 \| good	43.18 \| good	0.175 \| good	1.59 \| good	0.122 \| good
2026-03-31T02:00:00.000Z	37 \| good	3.825 \| good	9.764 \| good	40.464 \| good	0.166 \| good	1.558 \| good	0.122 \| good
2026-03-31T03:00:00.000Z	35 \| good	3.978 \| good	10.247 \| good	37.922 \| good	0.159 \| good	1.699 \| good	0.122 \| good
2026-03-31T04:00:00.000Z	34 \| good	4.218 \| good	10.682 \| good	36.866 \| good	0.14 \| good	1.681 \| good	0.122 \| good
2026-03-31T05:00:00.000Z	33 \| good	4.15 \| good	7.295 \| good	35.826 \| good	0.153 \| good	1.716 \| good	0.122 \| good
2026-03-31T06:00:00.000Z	32 \| good	3.997 \| good	7.031 \| good	34.99 \| good	0.16 \| good	2.188 \| good	0.123 \| good
2026-03-31T07:00:00.000Z	32 \| good	4.523 \| good	6.908 \| good	34.709 \| good	0.183 \| good	3.377 \| good	0.126 \| good
2026-03-31T08:00:00.000Z	31 \| good	4.308 \| good	6.683 \| good	32.606 \| good	0.258 \| good	3.465 \| good	0.125 \| good
2026-03-31T09:00:00.000Z	29 \| good	3.36 \| good	6.169 \| good	30.652 \| good	0.235 \| good	2.372 \| good	0.119 \| good
2026-03-31T10:00:00.000Z	28 \| good	3.052 \| good	5.681 \| good	30.394 \| good	0.195 \| good	1.859 \| good	0.118 \| good
2026-03-31T11:00:00.000Z	29 \| good	2.962 \| good	5.16 \| good	31.108 \| good	0.169 \| good	1.641 \| good	0.116 \| good
2026-03-31T12:00:00.000Z	31 \| good	2.962 \| good	5.064 \| good	32.776 \| good	0.137 \| good	1.552 \| good	0.114 \| good
2026-03-31T13:00:00.000Z	32 \| good	3.066 \| good	4.878 \| good	35.21 \| good	0.126 \| good	1.409 \| good	0.112 \| good
2026-03-31T14:00:00.000Z	32 \| good	3.266 \| good	5.23 \| good	35.42 \| good	0.128 \| good	1.459 \| good	0.112 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.202 \| good	5.19 \| good	34.286 \| good	0.132 \| good	1.67 \| good	0.109 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.451 \| good	5.308 \| good	32.887 \| good	0.142 \| good	1.886 \| good	0.111 \| good
2026-03-31T17:00:00.000Z	30 \| good	3.869 \| good	5.89 \| good	31.978 \| good	0.192 \| good	2.674 \| good	0.117 \| good
2026-03-31T18:00:00.000Z	30 \| good	4.096 \| good	6.322 \| good	32.082 \| good	0.192 \| good	3.966 \| good	0.118 \| good
2026-03-31T19:00:00.000Z	30 \| good	4.499 \| good	6.528 \| good	31.559 \| good	0.244 \| good	4.136 \| good	0.122 \| good
2026-03-31T20:00:00.000Z	29 \| good	4.316 \| good	8.471 \| good	31.347 \| good	0.284 \| good	3.855 \| good	0.117 \| good
2026-03-31T21:00:00.000Z	28 \| good	4.438 \| good	7.577 \| good	30.458 \| good	0.347 \| good	3.971 \| good	0.118 \| good
2026-03-31T22:00:00.000Z	29 \| good	4.864 \| good	8.625 \| good	30.815 \| good	0.372 \| good	4.529 \| good	0.12 \| good

Real-time air quality index in South Shields, Tyne and Wear today

Common air pollutants in South Shields, Tyne and Wear

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Shields, Tyne and Wear air quality forecast and history

Empower business decisions with accurate air quality data

South Shields, Tyne and Wear air quality map: Real-time AQI near you

Air quality in nearby cities

Tynemouth, Tyne and Wear

Jarrow, Tyne and Wear

Whitley Bay, Tyne and Wear

Wallsend, Tyne and Wear

Hebburn, Tyne and Wear

Killingworth, Tyne and Wear

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

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for South Shields, Tyne and Wear updated?

When did South Shields, Tyne and Wear experience the worst air quality in the last 24 hours?

When did South Shields, Tyne and Wear have its best air quality in the last 24 hours?

What is the real-time air quality index for South Shields, Tyne and Wear?

Which pollutant is found most often in South Shields, Tyne and Wear?

What can I do if the air quality in South Shields, Tyne and Wear is poor?

What are the current PM2.5 levels in South Shields, Tyne and Wear?

What are the current PM10 levels at South Shields, Tyne and Wear?

What are the current carbon monoxide (CO) levels at South Shields, Tyne and Wear?

What are the current sulfur dioxide (SO2) levels at South Shields, Tyne and Wear?

What are the current ozone (O3) levels at South Shields, Tyne and Wear?

What are the current nitrogen dioxide (NO2) levels at South Shields, Tyne and Wear?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in South Shields, Tyne and Wear?

What are the current PM₁₀ levels at South Shields, Tyne and Wear?

What are the current sulfur dioxide (SO₂) levels at South Shields, Tyne and Wear?

What are the current ozone (O₃) levels at South Shields, Tyne and Wear?

What are the current nitrogen dioxide (NO₂) levels at South Shields, Tyne and Wear?