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

The current PM10 concentration at Shiney Row, Tyne and Wear is 8.308 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 0.451 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 18.983 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 6.486 ppb.

Shiney Row, Tyne and Wear live air quality index now

Name: Live air pollution levels in Shiney Row, Tyne And Wear today
Creator: Ambee

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)

4.36 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.30 μg/m³

155

255

425

605+

Ozone (O₃)

26.50 ppb

201

201+

Sulfur Dioxide (SO₂)

0.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.00 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2025-09-16T04:00:00.000Z	26 \| good	2.523 \| good	5.51 \| good	28.331 \| good	0.506 \| good	1.368 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	27 \| good	2.397 \| good	5.015 \| good	28.718 \| good	0.452 \| good	1.421 \| good	0.272 \| good
2025-09-16T06:00:00.000Z	28 \| good	2.354 \| good	4.955 \| good	29.62 \| good	0.382 \| good	1.309 \| good	0.117 \| good
2025-09-16T07:00:00.000Z	27 \| good	2.214 \| good	4.597 \| good	29.307 \| good	0.544 \| good	2.495 \| good	0.125 \| good
2025-09-16T08:00:00.000Z	25 \| good	2.195 \| good	4.505 \| good	27.39 \| good	0.382 \| good	4.428 \| good	0.115 \| good
2025-09-16T09:00:00.000Z	24 \| good	1.814 \| good	4.917 \| good	26.263 \| good	0.67 \| good	4.508 \| good	0.109 \| good
2025-09-16T10:00:00.000Z	24 \| good	2.37 \| good	4.776 \| good	26.41 \| good	0.505 \| good	5.315 \| good	0.128 \| good
2025-09-16T11:00:00.000Z	24 \| good	2.16 \| good	5.147 \| good	26.194 \| good	0.436 \| good	2.894 \| good	0.105 \| good
2025-09-16T12:00:00.000Z	24 \| good	2.519 \| good	4.607 \| good	26.008 \| good	0.671 \| good	2.934 \| good	0.097 \| good
2025-09-16T13:00:00.000Z	24 \| good	2.39 \| good	5.757 \| good	25.813 \| good	0.487 \| good	2.877 \| good	0.094 \| good
2025-09-16T14:00:00.000Z	23 \| good	2.62 \| good	6.79 \| good	25.12 \| good	0.382 \| good	4.327 \| good	0.096 \| good
2025-09-16T15:00:00.000Z	24 \| good	2.572 \| good	6.678 \| good	26.31 \| good	0.496 \| good	4.166 \| good	0.098 \| good
2025-09-16T16:00:00.000Z	25 \| good	3.057 \| good	6.835 \| good	27.345 \| good	0.451 \| good	3.258 \| good	0.093 \| good
2025-09-16T17:00:00.000Z	26 \| good	3.215 \| good	6.63 \| good	28.154 \| good	0.452 \| good	3.943 \| good	0.094 \| good
2025-09-16T18:00:00.000Z	26 \| good	3.116 \| good	7.113 \| good	28.243 \| good	0.452 \| good	3.117 \| good	0.103 \| good
2025-09-16T19:00:00.000Z	27 \| good	3.157 \| good	6.814 \| good	28.849 \| good	0.452 \| good	6.094 \| good	0.109 \| good
2025-09-16T20:00:00.000Z	27 \| good	3.191 \| good	7.281 \| good	29.011 \| good	0.452 \| good	4.913 \| good	0.107 \| good
2025-09-16T21:00:00.000Z	26 \| good	3.288 \| good	8 \| good	28.317 \| good	0.382 \| good	3.829 \| good	0.108 \| good
2025-09-16T22:00:00.000Z	27 \| good	3.012 \| good	8.056 \| good	28.589 \| good	0.382 \| good	4.422 \| good	0.089 \| good
2025-09-16T23:00:00.000Z	25 \| good	2.53 \| good	8.745 \| good	26.844 \| good	0.382 \| good	6.16 \| good	0.092 \| good
2025-09-17T00:00:00.000Z	23 \| good	2.505 \| good	8.074 \| good	24.709 \| good	0.449 \| good	4.437 \| good	0.176 \| good
2025-09-17T01:00:00.000Z	22 \| good	2.618 \| good	7.667 \| good	24.094 \| good	0.449 \| good	4.528 \| good	0.226 \| good
2025-09-17T02:00:00.000Z	20 \| good	3.233 \| good	9.492 \| good	22.06 \| good	0.451 \| good	4.527 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	19 \| good	2.711 \| good	7.511 \| good	20.603 \| good	0.451 \| good	4.679 \| good	0.244 \| good
2025-09-17T04:00:00.000Z	18 \| good	2.896 \| good	8.32 \| good	18.557 \| good	0.382 \| good	4.84 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	18 \| good	3.177 \| good	9.178 \| good	18.78 \| good	0.382 \| good	4.69 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.584 \| good	8.711 \| good	20.532 \| good	0.382 \| good	4.812 \| good	0.089 \| good
2025-09-17T07:00:00.000Z	22 \| good	3.596 \| good	8.308 \| good	18.983 \| good	0.451 \| good	6.486 \| good	0.097 \| good
2025-09-17T08:00:00.000Z	18 \| good	3.429 \| good	8.767 \| good	19.261 \| good	0.426 \| good	8.391 \| good	0.091 \| good
2025-09-17T09:00:00.000Z	19 \| good	3.477 \| good	7.589 \| good	19.842 \| good	0.496 \| good	8.632 \| good	0.086 \| good
2025-09-17T10:00:00.000Z	17 \| good	3.261 \| good	9.173 \| good	17.836 \| good	0.55 \| good	8.102 \| good	0.084 \| good
2025-09-17T11:00:00.000Z	19 \| good	3.344 \| good	7.417 \| good	20.985 \| good	0.55 \| good	7.515 \| good	0.106 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.57 \| good	6.32 \| good	20.228 \| good	0.529 \| good	8.34 \| good	0.085 \| good
2025-09-17T13:00:00.000Z	19 \| good	3.131 \| good	7.248 \| good	21.487 \| good	0.53 \| good	5.939 \| good	0.087 \| good
2025-09-17T14:00:00.000Z	19 \| good	2.966 \| good	7.964 \| good	21.485 \| good	0.763 \| good	5.457 \| good	0.083 \| good
2025-09-17T15:00:00.000Z	19 \| good	3.027 \| good	8.283 \| good	21.092 \| good	0.529 \| good	4.798 \| good	0.083 \| good
2025-09-17T16:00:00.000Z	20 \| good	2.393 \| good	5.471 \| good	22.497 \| good	0.48 \| good	3.989 \| good	0.084 \| good
2025-09-17T17:00:00.000Z	20 \| good	2.495 \| good	6.548 \| good	22.311 \| good	0.495 \| good	3.313 \| good	0.093 \| good
2025-09-17T18:00:00.000Z	21 \| good	3.173 \| good	6.12 \| good	22.852 \| good	0.426 \| good	1.979 \| good	0.09 \| good
2025-09-17T19:00:00.000Z	22 \| good	3.276 \| good	7.507 \| good	24.064 \| good	0.494 \| good	2.059 \| good	0.089 \| good
2025-09-17T20:00:00.000Z	22 \| good	3.597 \| good	6.355 \| good	24.335 \| good	0.425 \| good	3.886 \| good	0.094 \| good
2025-09-17T21:00:00.000Z	24 \| good	3.471 \| good	7.763 \| good	25.596 \| good	0.451 \| good	2.047 \| good	0.105 \| good
2025-09-17T22:00:00.000Z	24 \| good	3.337 \| good	5.38 \| good	26.109 \| good	0.451 \| good	2.073 \| good	0.065 \| good
2025-09-17T23:00:00.000Z	24 \| good	3.646 \| good	5.364 \| good	26.118 \| good	0.451 \| good	2.616 \| good	0.064 \| good
2025-09-18T00:00:00.000Z	26 \| good	2.695 \| good	6.345 \| good	28.137 \| good	0.451 \| good	2.313 \| good	0.29 \| good
2025-09-18T01:00:00.000Z	26 \| good	3.871 \| good	6.943 \| good	27.722 \| good	0.451 \| good	3.48 \| good	0.207 \| good
2025-09-18T02:00:00.000Z	24 \| good	4.361 \| good	8.304 \| good	26.499 \| good	0.451 \| good	4.005 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	24 \| good	4.361 \| good	8.304 \| good	26.499 \| good	0.451 \| good	4.005 \| good	0.247 \| good
2025-09-17T09:00:00.000Z	23 \| good	2.791 \| good	3.659 \| good	24.935 \| good	0.138 \| good	4.526 \| good	0.133 \| good
2025-09-17T10:00:00.000Z	23 \| good	2.734 \| good	4.141 \| good	25.418 \| good	0.152 \| good	4.554 \| good	0.132 \| good
2025-09-17T11:00:00.000Z	25 \| good	2.594 \| good	3.552 \| good	27.056 \| good	0.164 \| good	4.232 \| good	0.127 \| good
2025-09-17T12:00:00.000Z	26 \| good	2.657 \| good	4.755 \| good	28.375 \| good	0.118 \| good	3.148 \| good	0.122 \| good
2025-09-17T13:00:00.000Z	28 \| good	3.49 \| good	6.83 \| good	29.707 \| good	0.084 \| good	1.633 \| good	0.114 \| good
2025-09-17T14:00:00.000Z	30 \| good	4.017 \| good	7.93 \| good	31.7 \| good	0.071 \| good	1.143 \| good	0.108 \| good
2025-09-17T15:00:00.000Z	29 \| good	4.094 \| good	8.88 \| good	31.347 \| good	0.072 \| good	1.241 \| good	0.108 \| good
2025-09-17T16:00:00.000Z	28 \| good	4.124 \| good	9.617 \| good	30.336 \| good	0.08 \| good	1.567 \| good	0.108 \| good
2025-09-17T17:00:00.000Z	29 \| good	4.429 \| good	10.365 \| good	30.57 \| good	0.091 \| good	1.875 \| good	0.11 \| good
2025-09-17T18:00:00.000Z	30 \| good	4.711 \| good	11.119 \| good	32.227 \| good	0.111 \| good	2.084 \| good	0.113 \| good
2025-09-17T19:00:00.000Z	30 \| good	4.704 \| good	11.351 \| good	31.727 \| good	0.161 \| good	2.458 \| good	0.111 \| good
2025-09-17T20:00:00.000Z	29 \| good	4.483 \| good	11.214 \| good	30.882 \| good	0.164 \| good	2.199 \| good	0.111 \| good
2025-09-17T21:00:00.000Z	31 \| good	4.274 \| good	11.045 \| good	32.756 \| good	0.159 \| good	1.995 \| good	0.111 \| good
2025-09-17T22:00:00.000Z	31 \| good	4.195 \| good	10.192 \| good	32.647 \| good	0.145 \| good	1.95 \| good	0.112 \| good
2025-09-17T23:00:00.000Z	31 \| good	4.082 \| good	10.093 \| good	32.741 \| good	0.113 \| good	1.651 \| good	0.111 \| good
2025-09-18T00:00:00.000Z	31 \| good	3.91 \| good	10.851 \| good	33.393 \| good	0.096 \| good	1.282 \| good	0.111 \| good
2025-09-18T01:00:00.000Z	31 \| good	3.838 \| good	10.597 \| good	33.991 \| good	0.088 \| good	1.062 \| good	0.111 \| good
2025-09-18T02:00:00.000Z	31 \| good	3.843 \| good	10.343 \| good	33.568 \| good	0.079 \| good	1.014 \| good	0.11 \| good
2025-09-18T03:00:00.000Z	31 \| good	3.863 \| good	10.027 \| good	32.864 \| good	0.081 \| good	1.056 \| good	0.11 \| good
2025-09-18T04:00:00.000Z	30 \| good	3.81 \| good	9.429 \| good	32.129 \| good	0.085 \| good	1.021 \| good	0.11 \| good
2025-09-18T05:00:00.000Z	30 \| good	3.663 \| good	9.162 \| good	32.009 \| good	0.084 \| good	1.095 \| good	0.11 \| good
2025-09-18T06:00:00.000Z	30 \| good	3.808 \| good	8.143 \| good	31.934 \| good	0.108 \| good	1.808 \| good	0.112 \| good
2025-09-18T07:00:00.000Z	30 \| good	3.204 \| good	5.722 \| good	31.644 \| good	0.145 \| good	3.122 \| good	0.115 \| good
2025-09-18T08:00:00.000Z	31 \| good	2.581 \| good	4.703 \| good	33.286 \| good	0.146 \| good	3.554 \| good	0.115 \| good
2025-09-18T09:00:00.000Z	31 \| good	2.126 \| good	3.245 \| good	33.39 \| good	0.14 \| good	2.693 \| good	0.112 \| good
2025-09-18T10:00:00.000Z	30 \| good	1.902 \| good	3.733 \| good	31.797 \| good	0.119 \| good	2.316 \| good	0.109 \| good
2025-09-18T11:00:00.000Z	27 \| good	1.817 \| good	3.864 \| good	28.836 \| good	0.108 \| good	2.391 \| good	0.108 \| good
2025-09-18T12:00:00.000Z	26 \| good	1.715 \| good	3.304 \| good	28.318 \| good	0.09 \| good	1.934 \| good	0.105 \| good
2025-09-18T13:00:00.000Z	26 \| good	2.012 \| good	3.805 \| good	28.313 \| good	0.088 \| good	1.742 \| good	0.103 \| good
2025-09-18T14:00:00.000Z	26 \| good	2.713 \| good	5.645 \| good	28.313 \| good	0.079 \| good	1.674 \| good	0.103 \| good
2025-09-18T15:00:00.000Z	26 \| good	2.947 \| good	6.514 \| good	27.586 \| good	0.082 \| good	1.887 \| good	0.102 \| good
2025-09-18T16:00:00.000Z	25 \| good	3.118 \| good	6.769 \| good	27.117 \| good	0.085 \| good	2.236 \| good	0.101 \| good
2025-09-18T17:00:00.000Z	24 \| good	3.19 \| good	6.231 \| good	25.624 \| good	0.103 \| good	2.825 \| good	0.1 \| good
2025-09-18T18:00:00.000Z	24 \| good	3.176 \| good	5.276 \| good	25.571 \| good	0.117 \| good	2.93 \| good	0.102 \| good
2025-09-18T19:00:00.000Z	26 \| good	2.696 \| good	4.297 \| good	28.426 \| good	0.118 \| good	2.578 \| good	0.102 \| good
2025-09-18T20:00:00.000Z	25 \| good	2.667 \| good	4.103 \| good	27.437 \| good	0.138 \| good	2.343 \| good	0.103 \| good
2025-09-18T21:00:00.000Z	27 \| good	2.579 \| good	3.625 \| good	28.647 \| good	0.136 \| good	2.215 \| good	0.103 \| good
2025-09-18T22:00:00.000Z	28 \| good	2.37 \| good	4.082 \| good	29.748 \| good	0.113 \| good	2.109 \| good	0.103 \| good
2025-09-18T23:00:00.000Z	27 \| good	1.852 \| good	3.11 \| good	28.895 \| good	0.075 \| good	1.851 \| good	0.101 \| good
2025-09-19T00:00:00.000Z	27 \| good	1.843 \| good	3.053 \| good	29.095 \| good	0.064 \| good	1.677 \| good	0.1 \| good
2025-09-19T01:00:00.000Z	26 \| good	1.99 \| good	3.373 \| good	28.274 \| good	0.062 \| good	1.376 \| good	0.1 \| good
2025-09-19T02:00:00.000Z	25 \| good	2.047 \| good	3.895 \| good	27.488 \| good	0.065 \| good	1.234 \| good	0.1 \| good
2025-09-19T03:00:00.000Z	25 \| good	2.184 \| good	4.303 \| good	26.857 \| good	0.072 \| good	1.182 \| good	0.101 \| good
2025-09-19T04:00:00.000Z	24 \| good	2.25 \| good	4.313 \| good	25.867 \| good	0.081 \| good	1.252 \| good	0.102 \| good
2025-09-19T05:00:00.000Z	23 \| good	2.263 \| good	4.506 \| good	24.806 \| good	0.094 \| good	1.505 \| good	0.103 \| good
2025-09-19T06:00:00.000Z	21 \| good	2.529 \| good	4.951 \| good	22.732 \| good	0.146 \| good	3.121 \| good	0.105 \| good
2025-09-19T07:00:00.000Z	19 \| good	2.896 \| good	5.71 \| good	20.731 \| good	0.194 \| good	5.689 \| good	0.114 \| good
2025-09-19T08:00:00.000Z	19 \| good	2.876 \| good	5.774 \| good	21.224 \| good	0.196 \| good	5.592 \| good	0.111 \| good

Shiney Row

Get reliable air quality data to drive your business

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

Air quality levels in UK

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

View Polluted Cities

Check live rankings of places in the UK with the cleanest air.

View Clean Cities

Frequently asked questions

How 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 10:00:00 on 2025-09-16.

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 05:00:00 on 2025-09-17.

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

The current air quality in Shiney Row, Tyne and Wear is 22, 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 PM2.5.

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 3.596 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 8.308 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 0.097 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 0.451 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 18.983 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 6.486 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	26 \| good	2.523 \| good	5.51 \| good	28.331 \| good	0.506 \| good	1.368 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	27 \| good	2.397 \| good	5.015 \| good	28.718 \| good	0.452 \| good	1.421 \| good	0.272 \| good
2025-09-16T06:00:00.000Z	28 \| good	2.354 \| good	4.955 \| good	29.62 \| good	0.382 \| good	1.309 \| good	0.117 \| good
2025-09-16T07:00:00.000Z	27 \| good	2.214 \| good	4.597 \| good	29.307 \| good	0.544 \| good	2.495 \| good	0.125 \| good
2025-09-16T08:00:00.000Z	25 \| good	2.195 \| good	4.505 \| good	27.39 \| good	0.382 \| good	4.428 \| good	0.115 \| good
2025-09-16T09:00:00.000Z	24 \| good	1.814 \| good	4.917 \| good	26.263 \| good	0.67 \| good	4.508 \| good	0.109 \| good
2025-09-16T10:00:00.000Z	24 \| good	2.37 \| good	4.776 \| good	26.41 \| good	0.505 \| good	5.315 \| good	0.128 \| good
2025-09-16T11:00:00.000Z	24 \| good	2.16 \| good	5.147 \| good	26.194 \| good	0.436 \| good	2.894 \| good	0.105 \| good
2025-09-16T12:00:00.000Z	24 \| good	2.519 \| good	4.607 \| good	26.008 \| good	0.671 \| good	2.934 \| good	0.097 \| good
2025-09-16T13:00:00.000Z	24 \| good	2.39 \| good	5.757 \| good	25.813 \| good	0.487 \| good	2.877 \| good	0.094 \| good
2025-09-16T14:00:00.000Z	23 \| good	2.62 \| good	6.79 \| good	25.12 \| good	0.382 \| good	4.327 \| good	0.096 \| good
2025-09-16T15:00:00.000Z	24 \| good	2.572 \| good	6.678 \| good	26.31 \| good	0.496 \| good	4.166 \| good	0.098 \| good
2025-09-16T16:00:00.000Z	25 \| good	3.057 \| good	6.835 \| good	27.345 \| good	0.451 \| good	3.258 \| good	0.093 \| good
2025-09-16T17:00:00.000Z	26 \| good	3.215 \| good	6.63 \| good	28.154 \| good	0.452 \| good	3.943 \| good	0.094 \| good
2025-09-16T18:00:00.000Z	26 \| good	3.116 \| good	7.113 \| good	28.243 \| good	0.452 \| good	3.117 \| good	0.103 \| good
2025-09-16T19:00:00.000Z	27 \| good	3.157 \| good	6.814 \| good	28.849 \| good	0.452 \| good	6.094 \| good	0.109 \| good
2025-09-16T20:00:00.000Z	27 \| good	3.191 \| good	7.281 \| good	29.011 \| good	0.452 \| good	4.913 \| good	0.107 \| good
2025-09-16T21:00:00.000Z	26 \| good	3.288 \| good	8 \| good	28.317 \| good	0.382 \| good	3.829 \| good	0.108 \| good
2025-09-16T22:00:00.000Z	27 \| good	3.012 \| good	8.056 \| good	28.589 \| good	0.382 \| good	4.422 \| good	0.089 \| good
2025-09-16T23:00:00.000Z	25 \| good	2.53 \| good	8.745 \| good	26.844 \| good	0.382 \| good	6.16 \| good	0.092 \| good
2025-09-17T00:00:00.000Z	23 \| good	2.505 \| good	8.074 \| good	24.709 \| good	0.449 \| good	4.437 \| good	0.176 \| good
2025-09-17T01:00:00.000Z	22 \| good	2.618 \| good	7.667 \| good	24.094 \| good	0.449 \| good	4.528 \| good	0.226 \| good
2025-09-17T02:00:00.000Z	20 \| good	3.233 \| good	9.492 \| good	22.06 \| good	0.451 \| good	4.527 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	19 \| good	2.711 \| good	7.511 \| good	20.603 \| good	0.451 \| good	4.679 \| good	0.244 \| good
2025-09-17T04:00:00.000Z	18 \| good	2.896 \| good	8.32 \| good	18.557 \| good	0.382 \| good	4.84 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	18 \| good	3.177 \| good	9.178 \| good	18.78 \| good	0.382 \| good	4.69 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.584 \| good	8.711 \| good	20.532 \| good	0.382 \| good	4.812 \| good	0.089 \| good
2025-09-17T07:00:00.000Z	22 \| good	3.596 \| good	8.308 \| good	18.983 \| good	0.451 \| good	6.486 \| good	0.097 \| good
2025-09-17T08:00:00.000Z	18 \| good	3.429 \| good	8.767 \| good	19.261 \| good	0.426 \| good	8.391 \| good	0.091 \| good
2025-09-17T09:00:00.000Z	19 \| good	3.477 \| good	7.589 \| good	19.842 \| good	0.496 \| good	8.632 \| good	0.086 \| good
2025-09-17T10:00:00.000Z	17 \| good	3.261 \| good	9.173 \| good	17.836 \| good	0.55 \| good	8.102 \| good	0.084 \| good
2025-09-17T11:00:00.000Z	19 \| good	3.344 \| good	7.417 \| good	20.985 \| good	0.55 \| good	7.515 \| good	0.106 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.57 \| good	6.32 \| good	20.228 \| good	0.529 \| good	8.34 \| good	0.085 \| good
2025-09-17T13:00:00.000Z	19 \| good	3.131 \| good	7.248 \| good	21.487 \| good	0.53 \| good	5.939 \| good	0.087 \| good
2025-09-17T14:00:00.000Z	19 \| good	2.966 \| good	7.964 \| good	21.485 \| good	0.763 \| good	5.457 \| good	0.083 \| good
2025-09-17T15:00:00.000Z	19 \| good	3.027 \| good	8.283 \| good	21.092 \| good	0.529 \| good	4.798 \| good	0.083 \| good
2025-09-17T16:00:00.000Z	20 \| good	2.393 \| good	5.471 \| good	22.497 \| good	0.48 \| good	3.989 \| good	0.084 \| good
2025-09-17T17:00:00.000Z	20 \| good	2.495 \| good	6.548 \| good	22.311 \| good	0.495 \| good	3.313 \| good	0.093 \| good
2025-09-17T18:00:00.000Z	21 \| good	3.173 \| good	6.12 \| good	22.852 \| good	0.426 \| good	1.979 \| good	0.09 \| good
2025-09-17T19:00:00.000Z	22 \| good	3.276 \| good	7.507 \| good	24.064 \| good	0.494 \| good	2.059 \| good	0.089 \| good
2025-09-17T20:00:00.000Z	22 \| good	3.597 \| good	6.355 \| good	24.335 \| good	0.425 \| good	3.886 \| good	0.094 \| good
2025-09-17T21:00:00.000Z	24 \| good	3.471 \| good	7.763 \| good	25.596 \| good	0.451 \| good	2.047 \| good	0.105 \| good
2025-09-17T22:00:00.000Z	24 \| good	3.337 \| good	5.38 \| good	26.109 \| good	0.451 \| good	2.073 \| good	0.065 \| good
2025-09-17T23:00:00.000Z	24 \| good	3.646 \| good	5.364 \| good	26.118 \| good	0.451 \| good	2.616 \| good	0.064 \| good
2025-09-18T00:00:00.000Z	26 \| good	2.695 \| good	6.345 \| good	28.137 \| good	0.451 \| good	2.313 \| good	0.29 \| good
2025-09-18T01:00:00.000Z	26 \| good	3.871 \| good	6.943 \| good	27.722 \| good	0.451 \| good	3.48 \| good	0.207 \| good
2025-09-18T02:00:00.000Z	24 \| good	4.361 \| good	8.304 \| good	26.499 \| good	0.451 \| good	4.005 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	24 \| good	4.361 \| good	8.304 \| good	26.499 \| good	0.451 \| good	4.005 \| good	0.247 \| good
2025-09-17T09:00:00.000Z	23 \| good	2.791 \| good	3.659 \| good	24.935 \| good	0.138 \| good	4.526 \| good	0.133 \| good
2025-09-17T10:00:00.000Z	23 \| good	2.734 \| good	4.141 \| good	25.418 \| good	0.152 \| good	4.554 \| good	0.132 \| good
2025-09-17T11:00:00.000Z	25 \| good	2.594 \| good	3.552 \| good	27.056 \| good	0.164 \| good	4.232 \| good	0.127 \| good
2025-09-17T12:00:00.000Z	26 \| good	2.657 \| good	4.755 \| good	28.375 \| good	0.118 \| good	3.148 \| good	0.122 \| good
2025-09-17T13:00:00.000Z	28 \| good	3.49 \| good	6.83 \| good	29.707 \| good	0.084 \| good	1.633 \| good	0.114 \| good
2025-09-17T14:00:00.000Z	30 \| good	4.017 \| good	7.93 \| good	31.7 \| good	0.071 \| good	1.143 \| good	0.108 \| good
2025-09-17T15:00:00.000Z	29 \| good	4.094 \| good	8.88 \| good	31.347 \| good	0.072 \| good	1.241 \| good	0.108 \| good
2025-09-17T16:00:00.000Z	28 \| good	4.124 \| good	9.617 \| good	30.336 \| good	0.08 \| good	1.567 \| good	0.108 \| good
2025-09-17T17:00:00.000Z	29 \| good	4.429 \| good	10.365 \| good	30.57 \| good	0.091 \| good	1.875 \| good	0.11 \| good
2025-09-17T18:00:00.000Z	30 \| good	4.711 \| good	11.119 \| good	32.227 \| good	0.111 \| good	2.084 \| good	0.113 \| good
2025-09-17T19:00:00.000Z	30 \| good	4.704 \| good	11.351 \| good	31.727 \| good	0.161 \| good	2.458 \| good	0.111 \| good
2025-09-17T20:00:00.000Z	29 \| good	4.483 \| good	11.214 \| good	30.882 \| good	0.164 \| good	2.199 \| good	0.111 \| good
2025-09-17T21:00:00.000Z	31 \| good	4.274 \| good	11.045 \| good	32.756 \| good	0.159 \| good	1.995 \| good	0.111 \| good
2025-09-17T22:00:00.000Z	31 \| good	4.195 \| good	10.192 \| good	32.647 \| good	0.145 \| good	1.95 \| good	0.112 \| good
2025-09-17T23:00:00.000Z	31 \| good	4.082 \| good	10.093 \| good	32.741 \| good	0.113 \| good	1.651 \| good	0.111 \| good
2025-09-18T00:00:00.000Z	31 \| good	3.91 \| good	10.851 \| good	33.393 \| good	0.096 \| good	1.282 \| good	0.111 \| good
2025-09-18T01:00:00.000Z	31 \| good	3.838 \| good	10.597 \| good	33.991 \| good	0.088 \| good	1.062 \| good	0.111 \| good
2025-09-18T02:00:00.000Z	31 \| good	3.843 \| good	10.343 \| good	33.568 \| good	0.079 \| good	1.014 \| good	0.11 \| good
2025-09-18T03:00:00.000Z	31 \| good	3.863 \| good	10.027 \| good	32.864 \| good	0.081 \| good	1.056 \| good	0.11 \| good
2025-09-18T04:00:00.000Z	30 \| good	3.81 \| good	9.429 \| good	32.129 \| good	0.085 \| good	1.021 \| good	0.11 \| good
2025-09-18T05:00:00.000Z	30 \| good	3.663 \| good	9.162 \| good	32.009 \| good	0.084 \| good	1.095 \| good	0.11 \| good
2025-09-18T06:00:00.000Z	30 \| good	3.808 \| good	8.143 \| good	31.934 \| good	0.108 \| good	1.808 \| good	0.112 \| good
2025-09-18T07:00:00.000Z	30 \| good	3.204 \| good	5.722 \| good	31.644 \| good	0.145 \| good	3.122 \| good	0.115 \| good
2025-09-18T08:00:00.000Z	31 \| good	2.581 \| good	4.703 \| good	33.286 \| good	0.146 \| good	3.554 \| good	0.115 \| good
2025-09-18T09:00:00.000Z	31 \| good	2.126 \| good	3.245 \| good	33.39 \| good	0.14 \| good	2.693 \| good	0.112 \| good
2025-09-18T10:00:00.000Z	30 \| good	1.902 \| good	3.733 \| good	31.797 \| good	0.119 \| good	2.316 \| good	0.109 \| good
2025-09-18T11:00:00.000Z	27 \| good	1.817 \| good	3.864 \| good	28.836 \| good	0.108 \| good	2.391 \| good	0.108 \| good
2025-09-18T12:00:00.000Z	26 \| good	1.715 \| good	3.304 \| good	28.318 \| good	0.09 \| good	1.934 \| good	0.105 \| good
2025-09-18T13:00:00.000Z	26 \| good	2.012 \| good	3.805 \| good	28.313 \| good	0.088 \| good	1.742 \| good	0.103 \| good
2025-09-18T14:00:00.000Z	26 \| good	2.713 \| good	5.645 \| good	28.313 \| good	0.079 \| good	1.674 \| good	0.103 \| good
2025-09-18T15:00:00.000Z	26 \| good	2.947 \| good	6.514 \| good	27.586 \| good	0.082 \| good	1.887 \| good	0.102 \| good
2025-09-18T16:00:00.000Z	25 \| good	3.118 \| good	6.769 \| good	27.117 \| good	0.085 \| good	2.236 \| good	0.101 \| good
2025-09-18T17:00:00.000Z	24 \| good	3.19 \| good	6.231 \| good	25.624 \| good	0.103 \| good	2.825 \| good	0.1 \| good
2025-09-18T18:00:00.000Z	24 \| good	3.176 \| good	5.276 \| good	25.571 \| good	0.117 \| good	2.93 \| good	0.102 \| good
2025-09-18T19:00:00.000Z	26 \| good	2.696 \| good	4.297 \| good	28.426 \| good	0.118 \| good	2.578 \| good	0.102 \| good
2025-09-18T20:00:00.000Z	25 \| good	2.667 \| good	4.103 \| good	27.437 \| good	0.138 \| good	2.343 \| good	0.103 \| good
2025-09-18T21:00:00.000Z	27 \| good	2.579 \| good	3.625 \| good	28.647 \| good	0.136 \| good	2.215 \| good	0.103 \| good
2025-09-18T22:00:00.000Z	28 \| good	2.37 \| good	4.082 \| good	29.748 \| good	0.113 \| good	2.109 \| good	0.103 \| good
2025-09-18T23:00:00.000Z	27 \| good	1.852 \| good	3.11 \| good	28.895 \| good	0.075 \| good	1.851 \| good	0.101 \| good
2025-09-19T00:00:00.000Z	27 \| good	1.843 \| good	3.053 \| good	29.095 \| good	0.064 \| good	1.677 \| good	0.1 \| good
2025-09-19T01:00:00.000Z	26 \| good	1.99 \| good	3.373 \| good	28.274 \| good	0.062 \| good	1.376 \| good	0.1 \| good
2025-09-19T02:00:00.000Z	25 \| good	2.047 \| good	3.895 \| good	27.488 \| good	0.065 \| good	1.234 \| good	0.1 \| good
2025-09-19T03:00:00.000Z	25 \| good	2.184 \| good	4.303 \| good	26.857 \| good	0.072 \| good	1.182 \| good	0.101 \| good
2025-09-19T04:00:00.000Z	24 \| good	2.25 \| good	4.313 \| good	25.867 \| good	0.081 \| good	1.252 \| good	0.102 \| good
2025-09-19T05:00:00.000Z	23 \| good	2.263 \| good	4.506 \| good	24.806 \| good	0.094 \| good	1.505 \| good	0.103 \| good
2025-09-19T06:00:00.000Z	21 \| good	2.529 \| good	4.951 \| good	22.732 \| good	0.146 \| good	3.121 \| good	0.105 \| good
2025-09-19T07:00:00.000Z	19 \| good	2.896 \| good	5.71 \| good	20.731 \| good	0.194 \| good	5.689 \| good	0.114 \| good
2025-09-19T08:00:00.000Z	19 \| good	2.876 \| good	5.774 \| good	21.224 \| good	0.196 \| good	5.592 \| good	0.111 \| 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)

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

Get reliable air quality data to drive your business

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

Air quality in nearby cities

HoughtonLeSpring, Tyne and Wear

Washington, Tyne and Wear

ChesterleStreet, County Durham

Birtley, Tyne and Wear

Sunderland, Tyne and Wear

Seaham, County Durham

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?

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

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

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?