What is the current concentration of PM10 in Shiney Row, Tyne and Wear?

The current PM10 concentration at Shiney Row, Tyne and Wear is 11.591 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Shiney Row, Tyne and Wear?

The current sulfur dioxide (SO2) concentration at Shiney Row, Tyne and Wear is 0.86 ppb.

What is the current concentration of ozone (O3) in Shiney Row, Tyne and Wear?

The current ozone (O3) concentration at Shiney Row, Tyne and Wear is 41.892 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Shiney Row, Tyne and Wear?

The current nitrogen dioxide (NO2) concentration at Shiney Row, Tyne and Wear is 2.294 ppb.

Shiney Row, Tyne and Wear live air quality index now

Q: What is the current concentration of PM2.5 in Shiney Row, Tyne and Wear?

The current PM2.5 concentration at Shiney Row, Tyne and Wear is 4.288 μg/m3.

Stay updated with real-time air quality in Shiney Row, 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

Shiney Row, Tyne and Wear

Last updated: ... (Local time)

Major air pollutants in Shiney Row, Tyne and Wear

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.29 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.59 μg/m³

155

255

425

605+

Ozone (O₃)

41.89 ppb

201

201+

Sulfur Dioxide (SO₂)

0.86 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.29 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.10 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Shiney Row, Tyne and Wear

Get Live Pollen Counts

Shiney Row, Tyne and Wear

Scroll To Air Quality Map

Track live Shiney Row, Tyne and Wear air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	34 \| good	6.148 \| good	13.374 \| good	37.347 \| good	0.768 \| good	7.971 \| good	0.11 \| good
2026-03-28T00:00:00.000Z	33 \| good	6.148 \| good	13.374 \| good	36.481 \| good	0.636 \| good	3.381 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	34 \| good	6.148 \| good	13.778 \| good	36.705 \| good	0.636 \| good	2.534 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	34 \| good	6.148 \| good	13.778 \| good	36.688 \| good	0.558 \| good	1.378 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	38 \| good	6.742 \| good	14.416 \| good	37.004 \| good	0.427 \| good	1.413 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	38 \| good	7.133 \| good	14.82 \| good	37.525 \| good	0.579 \| good	1.138 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	38 \| good	7.133 \| good	15.4 \| good	38.233 \| good	0.652 \| good	1.527 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	38 \| good	7.146 \| good	15.4 \| good	38.929 \| good	0.58 \| good	1.435 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	38 \| good	7.146 \| good	15.021 \| good	39.817 \| good	0.428 \| good	1.207 \| good	0.079 \| good
2026-03-28T08:00:00.000Z	38 \| good	7.146 \| good	15.024 \| good	39.242 \| good	0.551 \| good	1.542 \| good	0.09 \| good
2026-03-28T09:00:00.000Z	44 \| good	7.725 \| good	15.616 \| good	40.081 \| good	0.847 \| good	1.911 \| good	0.097 \| good
2026-03-28T10:00:00.000Z	44 \| good	7.725 \| good	15.616 \| good	39.739 \| good	0.718 \| good	1.199 \| good	0.106 \| good
2026-03-28T11:00:00.000Z	44 \| good	7.742 \| good	15.688 \| good	39.651 \| good	0.838 \| good	2.75 \| good	0.11 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.146 \| good	14.645 \| good	39.684 \| good	0.625 \| good	2.664 \| good	0.105 \| good
2026-03-28T13:00:00.000Z	44 \| good	7.725 \| good	14.645 \| good	39.745 \| good	0.543 \| good	2.772 \| good	0.104 \| good
2026-03-28T14:00:00.000Z	38 \| good	6.754 \| good	13.661 \| good	39.357 \| good	0.544 \| good	1.946 \| good	0.1 \| good
2026-03-28T15:00:00.000Z	38 \| good	6.742 \| good	13.268 \| good	38.875 \| good	0.486 \| good	2.979 \| good	0.12 \| good
2026-03-28T16:00:00.000Z	38 \| good	6.725 \| good	12.62 \| good	38.565 \| good	0.491 \| good	3.074 \| good	0.105 \| good
2026-03-28T17:00:00.000Z	35 \| good	5.754 \| good	11.634 \| good	38.358 \| good	0.582 \| good	2.556 \| good	0.106 \| good
2026-03-28T18:00:00.000Z	36 \| good	5.742 \| good	11.634 \| good	38.676 \| good	0.777 \| good	4.021 \| good	0.104 \| good
2026-03-28T19:00:00.000Z	35 \| good	5.742 \| good	11.631 \| good	38.066 \| good	0.625 \| good	5.571 \| good	0.12 \| good
2026-03-28T20:00:00.000Z	35 \| good	5.742 \| good	11.631 \| good	37.861 \| good	0.648 \| good	3.598 \| good	0.123 \| good
2026-03-28T21:00:00.000Z	34 \| good	5.742 \| good	11.619 \| good	37.305 \| good	0.486 \| good	3.805 \| good	0.111 \| good
2026-03-28T22:00:00.000Z	34 \| good	5.742 \| good	11.619 \| good	36.864 \| good	0.486 \| good	4.536 \| good	0.116 \| good
2026-03-28T23:00:00.000Z	33 \| good	5.742 \| good	11.227 \| good	36.224 \| good	0.559 \| good	3.295 \| good	0.111 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.739 \| good	11.227 \| good	35.542 \| good	0.56 \| good	3.819 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	5.725 \| good	10.564 \| good	34.811 \| good	0.607 \| good	4.13 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	34.731 \| good	0.487 \| good	4.724 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	33.327 \| good	0.487 \| good	8.316 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	33.055 \| good	0.605 \| good	8.864 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	31.562 \| good	0.428 \| good	6.577 \| good	0.109 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	30.552 \| good	0.482 \| good	5.626 \| good	0.104 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	30.414 \| good	0.473 \| good	3.563 \| good	0.104 \| good
2026-03-29T08:00:00.000Z	29 \| good	5.146 \| good	11.143 \| good	31.399 \| good	0.567 \| good	5.953 \| good	0.113 \| good
2026-03-29T09:00:00.000Z	30 \| good	5.146 \| good	11.143 \| good	31.771 \| good	0.534 \| good	4.716 \| good	0.129 \| good
2026-03-29T10:00:00.000Z	30 \| good	5.146 \| good	11.143 \| good	31.812 \| good	0.419 \| good	4.617 \| good	0.124 \| good
2026-03-29T11:00:00.000Z	31 \| good	5.146 \| good	11.143 \| good	32.927 \| good	0.571 \| good	5.047 \| good	0.097 \| good
2026-03-29T12:00:00.000Z	31 \| good	4.754 \| good	10.551 \| good	33.434 \| good	0.683 \| good	3.778 \| good	0.095 \| good
2026-03-29T13:00:00.000Z	32 \| good	4.175 \| good	10.549 \| good	35.001 \| good	0.665 \| good	3.482 \| good	0.108 \| good
2026-03-29T14:00:00.000Z	33 \| good	4.162 \| good	10.549 \| good	36.408 \| good	0.543 \| good	4.307 \| good	0.101 \| good
2026-03-29T15:00:00.000Z	35 \| good	4.162 \| good	10.549 \| good	37.568 \| good	0.543 \| good	3.574 \| good	0.106 \| good
2026-03-29T16:00:00.000Z	35 \| good	4.175 \| good	9.969 \| good	38.487 \| good	0.683 \| good	3.156 \| good	0.106 \| good
2026-03-29T17:00:00.000Z	37 \| good	4.566 \| good	10.549 \| good	40.106 \| good	0.594 \| good	1.4 \| good	0.104 \| good
2026-03-29T18:00:00.000Z	38 \| good	5.146 \| good	10.955 \| good	40.785 \| good	0.76 \| good	1.601 \| good	0.101 \| good
2026-03-29T19:00:00.000Z	38 \| good	5.16 \| good	11.619 \| good	41.063 \| good	0.952 \| good	1.991 \| good	0.115 \| good
2026-03-29T20:00:00.000Z	39 \| good	5.162 \| good	11.619 \| good	41.812 \| good	1.083 \| good	1.924 \| good	0.147 \| good
2026-03-29T21:00:00.000Z	38 \| good	5.162 \| good	11.619 \| good	41.165 \| good	0.869 \| good	2.252 \| good	0.101 \| good
2026-03-29T22:00:00.000Z	39 \| good	4.288 \| good	11.591 \| good	41.892 \| good	0.86 \| good	2.294 \| good	0.099 \| good
2026-03-29T23:00:00.000Z	46 \| good	3.532 \| good	8.207 \| good	49.603 \| good	0.167 \| good	0.958 \| good	0.127 \| good
2026-03-30T00:00:00.000Z	45 \| good	3.678 \| good	8.895 \| good	49 \| good	0.128 \| good	0.782 \| good	0.128 \| good
2026-03-30T01:00:00.000Z	45 \| good	3.497 \| good	8.456 \| good	48.517 \| good	0.116 \| good	0.707 \| good	0.127 \| good
2026-03-30T02:00:00.000Z	45 \| good	3.535 \| good	8.533 \| good	48.576 \| good	0.116 \| good	0.607 \| good	0.125 \| good
2026-03-30T03:00:00.000Z	44 \| good	3.541 \| good	9.479 \| good	48.456 \| good	0.122 \| good	0.594 \| good	0.123 \| good
2026-03-30T04:00:00.000Z	44 \| good	3.804 \| good	9.803 \| good	48.203 \| good	0.131 \| good	0.617 \| good	0.122 \| good
2026-03-30T05:00:00.000Z	44 \| good	4.149 \| good	10.222 \| good	47.584 \| good	0.143 \| good	0.796 \| good	0.121 \| good
2026-03-30T06:00:00.000Z	44 \| good	4.367 \| good	10.131 \| good	47.063 \| good	0.17 \| good	1.15 \| good	0.121 \| good
2026-03-30T07:00:00.000Z	44 \| good	4.477 \| good	10.309 \| good	46.676 \| good	0.178 \| good	1.773 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	44 \| good	4.193 \| good	10.595 \| good	47.457 \| good	0.171 \| good	1.657 \| good	0.127 \| good
2026-03-30T09:00:00.000Z	44 \| good	3.832 \| good	9.946 \| good	48.211 \| good	0.158 \| good	1.359 \| good	0.126 \| good
2026-03-30T10:00:00.000Z	45 \| good	3.575 \| good	8.73 \| good	49.422 \| good	0.147 \| good	1.061 \| good	0.125 \| good
2026-03-30T11:00:00.000Z	46 \| good	3.335 \| good	8.176 \| good	50.033 \| good	0.13 \| good	0.997 \| good	0.124 \| good
2026-03-30T12:00:00.000Z	47 \| good	3.173 \| good	8.966 \| good	51.056 \| good	0.124 \| good	0.955 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	47 \| good	3.222 \| good	9.239 \| good	51.189 \| good	0.125 \| good	0.995 \| good	0.124 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.363 \| good	9.097 \| good	50.974 \| good	0.13 \| good	1.03 \| good	0.126 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.432 \| good	9.258 \| good	50.77 \| good	0.143 \| good	1.165 \| good	0.13 \| good
2026-03-30T16:00:00.000Z	46 \| good	3.554 \| good	10.378 \| good	49.995 \| good	0.156 \| good	1.301 \| good	0.127 \| good
2026-03-30T17:00:00.000Z	45 \| good	3.868 \| good	10.605 \| good	49.173 \| good	0.173 \| good	1.584 \| good	0.13 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.059 \| good	10.633 \| good	48.236 \| good	0.223 \| good	2.897 \| good	0.133 \| good
2026-03-30T19:00:00.000Z	43 \| good	4.129 \| good	11.188 \| good	46.265 \| good	0.294 \| good	3.155 \| good	0.132 \| good
2026-03-30T20:00:00.000Z	42 \| good	4.108 \| good	11.423 \| good	45.194 \| good	0.316 \| good	2.826 \| good	0.13 \| good
2026-03-30T21:00:00.000Z	42 \| good	4.106 \| good	10.302 \| good	44.904 \| good	0.321 \| good	2.654 \| good	0.128 \| good
2026-03-30T22:00:00.000Z	41 \| good	4.119 \| good	8.959 \| good	43.92 \| good	0.288 \| good	2.326 \| good	0.126 \| good
2026-03-30T23:00:00.000Z	40 \| good	3.951 \| good	9.226 \| good	43.395 \| good	0.25 \| good	1.996 \| good	0.124 \| good
2026-03-31T00:00:00.000Z	41 \| good	3.905 \| good	9.721 \| good	43.678 \| good	0.226 \| good	1.843 \| good	0.123 \| good
2026-03-31T01:00:00.000Z	40 \| good	3.907 \| good	10.163 \| good	42.561 \| good	0.204 \| good	1.642 \| good	0.123 \| good
2026-03-31T02:00:00.000Z	38 \| good	4.08 \| good	10.613 \| good	41.26 \| good	0.175 \| good	1.507 \| good	0.121 \| good
2026-03-31T03:00:00.000Z	37 \| good	4.043 \| good	10.979 \| good	39.878 \| good	0.151 \| good	1.397 \| good	0.121 \| good
2026-03-31T04:00:00.000Z	36 \| good	3.786 \| good	8.857 \| good	38.732 \| good	0.167 \| good	1.357 \| good	0.122 \| good
2026-03-31T05:00:00.000Z	35 \| good	3.762 \| good	7.419 \| good	38.203 \| good	0.172 \| good	1.596 \| good	0.121 \| good
2026-03-31T06:00:00.000Z	34 \| good	3.975 \| good	6.87 \| good	36.941 \| good	0.201 \| good	2.227 \| good	0.123 \| good
2026-03-31T07:00:00.000Z	31 \| good	4.337 \| good	7.374 \| good	34.07 \| good	0.26 \| good	3.356 \| good	0.127 \| good
2026-03-31T08:00:00.000Z	28 \| good	4.495 \| good	6.87 \| good	29.672 \| good	0.241 \| good	3.199 \| good	0.124 \| good
2026-03-31T09:00:00.000Z	27 \| good	3.445 \| good	6.281 \| good	29.494 \| good	0.2 \| good	2.236 \| good	0.118 \| good
2026-03-31T10:00:00.000Z	29 \| good	2.994 \| good	5.788 \| good	30.852 \| good	0.179 \| good	1.674 \| good	0.116 \| good
2026-03-31T11:00:00.000Z	30 \| good	2.938 \| good	5.77 \| good	32.096 \| good	0.153 \| good	1.403 \| good	0.115 \| good
2026-03-31T12:00:00.000Z	31 \| good	2.85 \| good	5.603 \| good	33.853 \| good	0.137 \| good	1.283 \| good	0.113 \| good
2026-03-31T13:00:00.000Z	33 \| good	2.988 \| good	5.586 \| good	35.81 \| good	0.136 \| good	1.263 \| good	0.113 \| good
2026-03-31T14:00:00.000Z	33 \| good	3.2 \| good	5.627 \| good	36.472 \| good	0.141 \| good	1.299 \| good	0.11 \| good
2026-03-31T15:00:00.000Z	33 \| good	3.145 \| good	5.719 \| good	36.024 \| good	0.151 \| good	1.584 \| good	0.112 \| good
2026-03-31T16:00:00.000Z	32 \| good	3.44 \| good	6.622 \| good	34.596 \| good	0.158 \| good	2.082 \| good	0.114 \| good
2026-03-31T17:00:00.000Z	31 \| good	3.677 \| good	7.101 \| good	33.142 \| good	0.184 \| good	2.598 \| good	0.116 \| good
2026-03-31T18:00:00.000Z	30 \| good	4.126 \| good	7.52 \| good	32.019 \| good	0.26 \| good	3.739 \| good	0.122 \| good
2026-03-31T19:00:00.000Z	29 \| good	4.691 \| good	8.013 \| good	31.312 \| good	0.345 \| good	4.5 \| good	0.12 \| good
2026-03-31T20:00:00.000Z	28 \| good	4.682 \| good	8.435 \| good	30.318 \| good	0.398 \| good	4.365 \| good	0.12 \| good
2026-03-31T21:00:00.000Z	28 \| good	4.925 \| good	8.548 \| good	30.271 \| good	0.424 \| good	4.32 \| good	0.121 \| good
2026-03-31T22:00:00.000Z	27 \| good	5.275 \| good	8.838 \| good	28.507 \| good	0.396 \| good	4.512 \| good	0.122 \| good

Shiney Row

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Shiney Row, Tyne and Wear air quality map: Track AQI near you

0.10ppm

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

Air quality data and pollutant measurements for Tyne and Wear, UK adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Shiney Row, Tyne and Wear updated?

The air quality for Shiney Row, Tyne and Wear is updated every hour.

When was the worst air quality at Shiney Row, Tyne and Wear in the last 24 hrs?

The worst air quality in Shiney Row, Tyne and Wear in the last 24 hours was observed at 08:00:00 on 2026-03-29.

When was the best air quality at Shiney Row, Tyne and Wear in the last 24 hrs?

In the last 24 hrs, the best air quality in Shiney Row, Tyne and Wear was observed at 08:00:00 on 2026-03-29.

What is the current air quality in Shiney Row, Tyne and Wear?

The current air quality in Shiney Row, Tyne and Wear is 39, categorized as Good based on real-time data.

What pollutant is the most common in Shiney Row, Tyne and Wear?

The most common pollutant in Shiney Row, Tyne and Wear is O3.

What should I do if the air quality in Shiney Row, Tyne and Wear is poor?

If the air quality in Shiney Row, Tyne and Wear is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Shiney Row, Tyne and Wear?

The current PM_2.5 concentration at Shiney Row, Tyne and Wear is 4.288 μg/m³.

What is the current concentration of PM₁₀ in Shiney Row, Tyne and Wear?

The current PM₁₀ concentration at Shiney Row, Tyne and Wear is 11.591 μg/m³.

What is the current concentration of carbon monoxide (CO) in Shiney Row, Tyne and Wear?

The current carbon monoxide (CO) concentration at Shiney Row, Tyne and Wear is 0.099 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Shiney Row, Tyne and Wear?

The current sulfur dioxide (SO₂) concentration at Shiney Row, Tyne and Wear is 0.86 ppb.

What is the current concentration of ozone (O₃) in Shiney Row, Tyne and Wear?

The current ozone (O₃) concentration at Shiney Row, Tyne and Wear is 41.892 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Shiney Row, Tyne and Wear?

The current nitrogen dioxide (NO₂) concentration at Shiney Row, Tyne and Wear is 2.294 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	34 \| good	6.148 \| good	13.374 \| good	37.347 \| good	0.768 \| good	7.971 \| good	0.11 \| good
2026-03-28T00:00:00.000Z	33 \| good	6.148 \| good	13.374 \| good	36.481 \| good	0.636 \| good	3.381 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	34 \| good	6.148 \| good	13.778 \| good	36.705 \| good	0.636 \| good	2.534 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	34 \| good	6.148 \| good	13.778 \| good	36.688 \| good	0.558 \| good	1.378 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	38 \| good	6.742 \| good	14.416 \| good	37.004 \| good	0.427 \| good	1.413 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	38 \| good	7.133 \| good	14.82 \| good	37.525 \| good	0.579 \| good	1.138 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	38 \| good	7.133 \| good	15.4 \| good	38.233 \| good	0.652 \| good	1.527 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	38 \| good	7.146 \| good	15.4 \| good	38.929 \| good	0.58 \| good	1.435 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	38 \| good	7.146 \| good	15.021 \| good	39.817 \| good	0.428 \| good	1.207 \| good	0.079 \| good
2026-03-28T08:00:00.000Z	38 \| good	7.146 \| good	15.024 \| good	39.242 \| good	0.551 \| good	1.542 \| good	0.09 \| good
2026-03-28T09:00:00.000Z	44 \| good	7.725 \| good	15.616 \| good	40.081 \| good	0.847 \| good	1.911 \| good	0.097 \| good
2026-03-28T10:00:00.000Z	44 \| good	7.725 \| good	15.616 \| good	39.739 \| good	0.718 \| good	1.199 \| good	0.106 \| good
2026-03-28T11:00:00.000Z	44 \| good	7.742 \| good	15.688 \| good	39.651 \| good	0.838 \| good	2.75 \| good	0.11 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.146 \| good	14.645 \| good	39.684 \| good	0.625 \| good	2.664 \| good	0.105 \| good
2026-03-28T13:00:00.000Z	44 \| good	7.725 \| good	14.645 \| good	39.745 \| good	0.543 \| good	2.772 \| good	0.104 \| good
2026-03-28T14:00:00.000Z	38 \| good	6.754 \| good	13.661 \| good	39.357 \| good	0.544 \| good	1.946 \| good	0.1 \| good
2026-03-28T15:00:00.000Z	38 \| good	6.742 \| good	13.268 \| good	38.875 \| good	0.486 \| good	2.979 \| good	0.12 \| good
2026-03-28T16:00:00.000Z	38 \| good	6.725 \| good	12.62 \| good	38.565 \| good	0.491 \| good	3.074 \| good	0.105 \| good
2026-03-28T17:00:00.000Z	35 \| good	5.754 \| good	11.634 \| good	38.358 \| good	0.582 \| good	2.556 \| good	0.106 \| good
2026-03-28T18:00:00.000Z	36 \| good	5.742 \| good	11.634 \| good	38.676 \| good	0.777 \| good	4.021 \| good	0.104 \| good
2026-03-28T19:00:00.000Z	35 \| good	5.742 \| good	11.631 \| good	38.066 \| good	0.625 \| good	5.571 \| good	0.12 \| good
2026-03-28T20:00:00.000Z	35 \| good	5.742 \| good	11.631 \| good	37.861 \| good	0.648 \| good	3.598 \| good	0.123 \| good
2026-03-28T21:00:00.000Z	34 \| good	5.742 \| good	11.619 \| good	37.305 \| good	0.486 \| good	3.805 \| good	0.111 \| good
2026-03-28T22:00:00.000Z	34 \| good	5.742 \| good	11.619 \| good	36.864 \| good	0.486 \| good	4.536 \| good	0.116 \| good
2026-03-28T23:00:00.000Z	33 \| good	5.742 \| good	11.227 \| good	36.224 \| good	0.559 \| good	3.295 \| good	0.111 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.739 \| good	11.227 \| good	35.542 \| good	0.56 \| good	3.819 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	5.725 \| good	10.564 \| good	34.811 \| good	0.607 \| good	4.13 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	34.731 \| good	0.487 \| good	4.724 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	33.327 \| good	0.487 \| good	8.316 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	33.055 \| good	0.605 \| good	8.864 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	31.562 \| good	0.428 \| good	6.577 \| good	0.109 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	30.552 \| good	0.482 \| good	5.626 \| good	0.104 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.725 \| good	11.143 \| good	30.414 \| good	0.473 \| good	3.563 \| good	0.104 \| good
2026-03-29T08:00:00.000Z	29 \| good	5.146 \| good	11.143 \| good	31.399 \| good	0.567 \| good	5.953 \| good	0.113 \| good
2026-03-29T09:00:00.000Z	30 \| good	5.146 \| good	11.143 \| good	31.771 \| good	0.534 \| good	4.716 \| good	0.129 \| good
2026-03-29T10:00:00.000Z	30 \| good	5.146 \| good	11.143 \| good	31.812 \| good	0.419 \| good	4.617 \| good	0.124 \| good
2026-03-29T11:00:00.000Z	31 \| good	5.146 \| good	11.143 \| good	32.927 \| good	0.571 \| good	5.047 \| good	0.097 \| good
2026-03-29T12:00:00.000Z	31 \| good	4.754 \| good	10.551 \| good	33.434 \| good	0.683 \| good	3.778 \| good	0.095 \| good
2026-03-29T13:00:00.000Z	32 \| good	4.175 \| good	10.549 \| good	35.001 \| good	0.665 \| good	3.482 \| good	0.108 \| good
2026-03-29T14:00:00.000Z	33 \| good	4.162 \| good	10.549 \| good	36.408 \| good	0.543 \| good	4.307 \| good	0.101 \| good
2026-03-29T15:00:00.000Z	35 \| good	4.162 \| good	10.549 \| good	37.568 \| good	0.543 \| good	3.574 \| good	0.106 \| good
2026-03-29T16:00:00.000Z	35 \| good	4.175 \| good	9.969 \| good	38.487 \| good	0.683 \| good	3.156 \| good	0.106 \| good
2026-03-29T17:00:00.000Z	37 \| good	4.566 \| good	10.549 \| good	40.106 \| good	0.594 \| good	1.4 \| good	0.104 \| good
2026-03-29T18:00:00.000Z	38 \| good	5.146 \| good	10.955 \| good	40.785 \| good	0.76 \| good	1.601 \| good	0.101 \| good
2026-03-29T19:00:00.000Z	38 \| good	5.16 \| good	11.619 \| good	41.063 \| good	0.952 \| good	1.991 \| good	0.115 \| good
2026-03-29T20:00:00.000Z	39 \| good	5.162 \| good	11.619 \| good	41.812 \| good	1.083 \| good	1.924 \| good	0.147 \| good
2026-03-29T21:00:00.000Z	38 \| good	5.162 \| good	11.619 \| good	41.165 \| good	0.869 \| good	2.252 \| good	0.101 \| good
2026-03-29T22:00:00.000Z	39 \| good	4.288 \| good	11.591 \| good	41.892 \| good	0.86 \| good	2.294 \| good	0.099 \| good
2026-03-29T23:00:00.000Z	46 \| good	3.532 \| good	8.207 \| good	49.603 \| good	0.167 \| good	0.958 \| good	0.127 \| good
2026-03-30T00:00:00.000Z	45 \| good	3.678 \| good	8.895 \| good	49 \| good	0.128 \| good	0.782 \| good	0.128 \| good
2026-03-30T01:00:00.000Z	45 \| good	3.497 \| good	8.456 \| good	48.517 \| good	0.116 \| good	0.707 \| good	0.127 \| good
2026-03-30T02:00:00.000Z	45 \| good	3.535 \| good	8.533 \| good	48.576 \| good	0.116 \| good	0.607 \| good	0.125 \| good
2026-03-30T03:00:00.000Z	44 \| good	3.541 \| good	9.479 \| good	48.456 \| good	0.122 \| good	0.594 \| good	0.123 \| good
2026-03-30T04:00:00.000Z	44 \| good	3.804 \| good	9.803 \| good	48.203 \| good	0.131 \| good	0.617 \| good	0.122 \| good
2026-03-30T05:00:00.000Z	44 \| good	4.149 \| good	10.222 \| good	47.584 \| good	0.143 \| good	0.796 \| good	0.121 \| good
2026-03-30T06:00:00.000Z	44 \| good	4.367 \| good	10.131 \| good	47.063 \| good	0.17 \| good	1.15 \| good	0.121 \| good
2026-03-30T07:00:00.000Z	44 \| good	4.477 \| good	10.309 \| good	46.676 \| good	0.178 \| good	1.773 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	44 \| good	4.193 \| good	10.595 \| good	47.457 \| good	0.171 \| good	1.657 \| good	0.127 \| good
2026-03-30T09:00:00.000Z	44 \| good	3.832 \| good	9.946 \| good	48.211 \| good	0.158 \| good	1.359 \| good	0.126 \| good
2026-03-30T10:00:00.000Z	45 \| good	3.575 \| good	8.73 \| good	49.422 \| good	0.147 \| good	1.061 \| good	0.125 \| good
2026-03-30T11:00:00.000Z	46 \| good	3.335 \| good	8.176 \| good	50.033 \| good	0.13 \| good	0.997 \| good	0.124 \| good
2026-03-30T12:00:00.000Z	47 \| good	3.173 \| good	8.966 \| good	51.056 \| good	0.124 \| good	0.955 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	47 \| good	3.222 \| good	9.239 \| good	51.189 \| good	0.125 \| good	0.995 \| good	0.124 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.363 \| good	9.097 \| good	50.974 \| good	0.13 \| good	1.03 \| good	0.126 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.432 \| good	9.258 \| good	50.77 \| good	0.143 \| good	1.165 \| good	0.13 \| good
2026-03-30T16:00:00.000Z	46 \| good	3.554 \| good	10.378 \| good	49.995 \| good	0.156 \| good	1.301 \| good	0.127 \| good
2026-03-30T17:00:00.000Z	45 \| good	3.868 \| good	10.605 \| good	49.173 \| good	0.173 \| good	1.584 \| good	0.13 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.059 \| good	10.633 \| good	48.236 \| good	0.223 \| good	2.897 \| good	0.133 \| good
2026-03-30T19:00:00.000Z	43 \| good	4.129 \| good	11.188 \| good	46.265 \| good	0.294 \| good	3.155 \| good	0.132 \| good
2026-03-30T20:00:00.000Z	42 \| good	4.108 \| good	11.423 \| good	45.194 \| good	0.316 \| good	2.826 \| good	0.13 \| good
2026-03-30T21:00:00.000Z	42 \| good	4.106 \| good	10.302 \| good	44.904 \| good	0.321 \| good	2.654 \| good	0.128 \| good
2026-03-30T22:00:00.000Z	41 \| good	4.119 \| good	8.959 \| good	43.92 \| good	0.288 \| good	2.326 \| good	0.126 \| good
2026-03-30T23:00:00.000Z	40 \| good	3.951 \| good	9.226 \| good	43.395 \| good	0.25 \| good	1.996 \| good	0.124 \| good
2026-03-31T00:00:00.000Z	41 \| good	3.905 \| good	9.721 \| good	43.678 \| good	0.226 \| good	1.843 \| good	0.123 \| good
2026-03-31T01:00:00.000Z	40 \| good	3.907 \| good	10.163 \| good	42.561 \| good	0.204 \| good	1.642 \| good	0.123 \| good
2026-03-31T02:00:00.000Z	38 \| good	4.08 \| good	10.613 \| good	41.26 \| good	0.175 \| good	1.507 \| good	0.121 \| good
2026-03-31T03:00:00.000Z	37 \| good	4.043 \| good	10.979 \| good	39.878 \| good	0.151 \| good	1.397 \| good	0.121 \| good
2026-03-31T04:00:00.000Z	36 \| good	3.786 \| good	8.857 \| good	38.732 \| good	0.167 \| good	1.357 \| good	0.122 \| good
2026-03-31T05:00:00.000Z	35 \| good	3.762 \| good	7.419 \| good	38.203 \| good	0.172 \| good	1.596 \| good	0.121 \| good
2026-03-31T06:00:00.000Z	34 \| good	3.975 \| good	6.87 \| good	36.941 \| good	0.201 \| good	2.227 \| good	0.123 \| good
2026-03-31T07:00:00.000Z	31 \| good	4.337 \| good	7.374 \| good	34.07 \| good	0.26 \| good	3.356 \| good	0.127 \| good
2026-03-31T08:00:00.000Z	28 \| good	4.495 \| good	6.87 \| good	29.672 \| good	0.241 \| good	3.199 \| good	0.124 \| good
2026-03-31T09:00:00.000Z	27 \| good	3.445 \| good	6.281 \| good	29.494 \| good	0.2 \| good	2.236 \| good	0.118 \| good
2026-03-31T10:00:00.000Z	29 \| good	2.994 \| good	5.788 \| good	30.852 \| good	0.179 \| good	1.674 \| good	0.116 \| good
2026-03-31T11:00:00.000Z	30 \| good	2.938 \| good	5.77 \| good	32.096 \| good	0.153 \| good	1.403 \| good	0.115 \| good
2026-03-31T12:00:00.000Z	31 \| good	2.85 \| good	5.603 \| good	33.853 \| good	0.137 \| good	1.283 \| good	0.113 \| good
2026-03-31T13:00:00.000Z	33 \| good	2.988 \| good	5.586 \| good	35.81 \| good	0.136 \| good	1.263 \| good	0.113 \| good
2026-03-31T14:00:00.000Z	33 \| good	3.2 \| good	5.627 \| good	36.472 \| good	0.141 \| good	1.299 \| good	0.11 \| good
2026-03-31T15:00:00.000Z	33 \| good	3.145 \| good	5.719 \| good	36.024 \| good	0.151 \| good	1.584 \| good	0.112 \| good
2026-03-31T16:00:00.000Z	32 \| good	3.44 \| good	6.622 \| good	34.596 \| good	0.158 \| good	2.082 \| good	0.114 \| good
2026-03-31T17:00:00.000Z	31 \| good	3.677 \| good	7.101 \| good	33.142 \| good	0.184 \| good	2.598 \| good	0.116 \| good
2026-03-31T18:00:00.000Z	30 \| good	4.126 \| good	7.52 \| good	32.019 \| good	0.26 \| good	3.739 \| good	0.122 \| good
2026-03-31T19:00:00.000Z	29 \| good	4.691 \| good	8.013 \| good	31.312 \| good	0.345 \| good	4.5 \| good	0.12 \| good
2026-03-31T20:00:00.000Z	28 \| good	4.682 \| good	8.435 \| good	30.318 \| good	0.398 \| good	4.365 \| good	0.12 \| good
2026-03-31T21:00:00.000Z	28 \| good	4.925 \| good	8.548 \| good	30.271 \| good	0.424 \| good	4.32 \| good	0.121 \| good
2026-03-31T22:00:00.000Z	27 \| good	5.275 \| good	8.838 \| good	28.507 \| good	0.396 \| good	4.512 \| good	0.122 \| good

Shiney Row, Tyne and Wear live air quality index now

Major air pollutants in Shiney Row, Tyne and Wear

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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

Air quality levels in UK

Frequently asked questions

How often is the air quality data for Shiney Row, Tyne and Wear updated?

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What is the current air quality in Shiney Row, Tyne and Wear?

What pollutant is the most common in Shiney Row, Tyne and Wear?

What should I do if the air quality in Shiney Row, Tyne and Wear is poor?

What is the current concentration of PM2.5 in Shiney Row, Tyne and Wear?

What is the current concentration of PM10 in Shiney Row, Tyne and Wear?

What is the current concentration of carbon monoxide (CO) in Shiney Row, Tyne and Wear?

What is the current concentration of sulfur dioxide (SO2) in Shiney Row, Tyne and Wear?

What is the current concentration of ozone (O3) in Shiney Row, Tyne and Wear?

What is the current concentration of nitrogen dioxide (NO2) in Shiney Row, Tyne and Wear?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Shiney Row, Tyne and Wear?

What is the current concentration of PM₁₀ in Shiney Row, Tyne and Wear?

What is the current concentration of sulfur dioxide (SO₂) in Shiney Row, Tyne and Wear?

What is the current concentration of ozone (O₃) in Shiney Row, Tyne and Wear?

What is the current concentration of nitrogen dioxide (NO₂) in Shiney Row, Tyne and Wear?