What is the current level of PM10 in Washington, Tyne and Wear?

Washington, Tyne and Wear currently has a PM10 concentration of 5.927 μg/m3.

What is the current level of sulfur dioxide (SO2) in Washington, Tyne and Wear?

The current sulfur dioxide (SO2) concentration in Washington, Tyne and Wear is 0.695 ppb.

What is the current level of ozone (O3) in Washington, Tyne and Wear?

Washington, Tyne and Wear currently has an ozone (O3) concentration of 23.256 ppm.

What is the current level of nitrogen dioxide (NO2) in Washington, Tyne and Wear?

The current level of nitrogen dioxide (NO2) in Washington, Tyne and Wear is 2.969 ppb.

Current air quality index in Washington, Tyne and Wear today

Q: What is the PM2.5 concentration in Washington, Tyne and Wear right now?

Washington, Tyne and Wear currently has a PM2.5 concentration of 2.431 μg/m3.

Stay updated with real-time air quality in Washington, 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

Washington, Tyne and Wear

Last updated: ... (Local time)

Common air pollutants in Washington, Tyne and Wear

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.43 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

5.93 μg/m³

155

255

425

605+

Ozone (O₃)

24.60 ppb

201

201+

Sulfur Dioxide (SO₂)

0.69 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.14 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Washington, Tyne and Wear

Get Live Pollen Counts

Washington, Tyne and Wear

Scroll To Air Quality Map

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

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-07T14:00:00.000Z	27 \| good	4.762 \| good	13.539 \| good	15.64 \| good	0.691 \| good	6.689 \| good	0.189 \| good
2026-10-07T15:00:00.000Z	27 \| good	4.762 \| good	13.278 \| good	17.124 \| good	0.741 \| good	7.824 \| good	0.174 \| good
2026-10-07T16:00:00.000Z	22 \| good	4.266 \| good	12.828 \| good	18.995 \| good	0.741 \| good	8.504 \| good	0.174 \| good
2026-10-07T17:00:00.000Z	22 \| good	4.266 \| good	12.828 \| good	21.361 \| good	0.664 \| good	6.951 \| good	0.268 \| good
2026-10-07T18:00:00.000Z	22 \| good	4.266 \| good	12.377 \| good	23.238 \| good	0.382 \| good	8.28 \| good	0.32 \| good
2026-10-07T19:00:00.000Z	22 \| good	4.266 \| good	12.094 \| good	23.728 \| good	0.43 \| good	12.285 \| good	0.552 \| good
2026-10-07T20:00:00.000Z	22 \| good	4.266 \| good	11.901 \| good	24.104 \| good	0.487 \| good	13.742 \| good	0.525 \| good
2026-10-07T21:00:00.000Z	22 \| good	3.765 \| good	10.578 \| good	23.478 \| good	0.487 \| good	9.587 \| good	0.526 \| good
2026-10-07T22:00:00.000Z	22 \| good	3.765 \| good	10.578 \| good	23.513 \| good	0.487 \| good	6.725 \| good	0.449 \| good
2026-10-07T23:00:00.000Z	21 \| good	3.482 \| good	10.295 \| good	23.071 \| good	0.556 \| good	5.258 \| good	0.443 \| good
2026-10-08T00:00:00.000Z	21 \| good	3.482 \| good	10.057 \| good	22.789 \| good	0.406 \| good	3.728 \| good	0.401 \| good
2026-10-08T01:00:00.000Z	20 \| good	3.482 \| good	10.057 \| good	22.476 \| good	0.579 \| good	2.603 \| good	0.36 \| good
2026-10-08T02:00:00.000Z	20 \| good	3.215 \| good	8.244 \| good	21.661 \| good	0.549 \| good	2.831 \| good	0.334 \| good
2026-10-08T03:00:00.000Z	19 \| good	3.215 \| good	7.983 \| good	21.258 \| good	0.76 \| good	2.368 \| good	0.318 \| good
2026-10-08T04:00:00.000Z	19 \| good	3.215 \| good	7.748 \| good	21.213 \| good	0.719 \| good	1.837 \| good	0.374 \| good
2026-10-08T05:00:00.000Z	21 \| good	2.453 \| good	6.66 \| good	22.684 \| good	0.527 \| good	1.976 \| good	0.34 \| good
2026-10-08T06:00:00.000Z	20 \| good	2.238 \| good	6.66 \| good	21.522 \| good	0.557 \| good	3.286 \| good	0.359 \| good
2026-10-08T07:00:00.000Z	19 \| good	2.215 \| good	6.66 \| good	21.051 \| good	0.651 \| good	5.561 \| good	0.371 \| good
2026-10-08T08:00:00.000Z	19 \| good	2.215 \| good	6.445 \| good	20.472 \| good	0.48 \| good	10.154 \| good	0.402 \| good
2026-10-08T09:00:00.000Z	18 \| good	2.215 \| good	6.445 \| good	18.562 \| good	0.594 \| good	11.624 \| good	0.355 \| good
2026-10-08T10:00:00.000Z	19 \| good	2.215 \| good	6.445 \| good	19.983 \| good	0.791 \| good	8.523 \| good	0.302 \| good
2026-10-08T11:00:00.000Z	18 \| good	2.215 \| good	6.21 \| good	19.452 \| good	1.008 \| good	7.331 \| good	0.276 \| good
2026-10-08T12:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	20.474 \| good	0.77 \| good	7.941 \| good	0.246 \| good
2026-10-08T13:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	20.491 \| good	0.507 \| good	6.542 \| good	0.237 \| good
2026-10-08T14:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	21.063 \| good	0.436 \| good	6.559 \| good	0.229 \| good
2026-10-08T15:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	21.375 \| good	0.436 \| good	6.559 \| good	0.224 \| good
2026-10-08T16:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	21.473 \| good	0.436 \| good	6.559 \| good	0.267 \| good
2026-10-08T17:00:00.000Z	20 \| good	2.431 \| good	6.21 \| good	21.869 \| good	0.436 \| good	6.559 \| good	0.284 \| good
2026-10-08T18:00:00.000Z	20 \| good	2.431 \| good	6.21 \| good	21.785 \| good	0.436 \| good	6.559 \| good	0.364 \| good
2026-10-08T19:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	19.577 \| good	0.435 \| good	6.559 \| good	0.346 \| good
2026-10-08T20:00:00.000Z	18 \| good	2.431 \| good	6.142 \| good	18.705 \| good	0.382 \| good	12.203 \| good	0.474 \| good
2026-10-08T21:00:00.000Z	18 \| good	2.431 \| good	6.142 \| good	18.612 \| good	0.393 \| good	8.914 \| good	0.488 \| good
2026-10-08T22:00:00.000Z	16 \| good	2.431 \| good	6.142 \| good	17.11 \| good	0.382 \| good	6.272 \| good	0.508 \| good
2026-10-08T23:00:00.000Z	23 \| good	2.431 \| good	6.162 \| good	24.926 \| good	0.544 \| good	4.503 \| good	0.47 \| good
2026-10-09T00:00:00.000Z	23 \| good	2.431 \| good	6.162 \| good	25.074 \| good	0.718 \| good	4.294 \| good	0.385 \| good
2026-10-09T01:00:00.000Z	23 \| good	2.431 \| good	6.162 \| good	24.577 \| good	0.483 \| good	4.216 \| good	0.373 \| good
2026-10-09T02:00:00.000Z	21 \| good	2.431 \| good	6.142 \| good	22.919 \| good	0.553 \| good	3.52 \| good	0.351 \| good
2026-10-09T03:00:00.000Z	22 \| good	2.431 \| good	6.142 \| good	24.093 \| good	1.11 \| good	4.133 \| good	0.27 \| good
2026-10-09T04:00:00.000Z	22 \| good	2.646 \| good	6.403 \| good	24.167 \| good	0.833 \| good	5.128 \| good	0.153 \| good
2026-10-09T05:00:00.000Z	21 \| good	2.646 \| good	6.164 \| good	22.881 \| good	1.02 \| good	2.832 \| good	0.241 \| good
2026-10-09T06:00:00.000Z	20 \| good	2.646 \| good	6.164 \| good	21.611 \| good	0.663 \| good	3.208 \| good	0.269 \| good
2026-10-09T07:00:00.000Z	19 \| good	2.646 \| good	6.164 \| good	20.582 \| good	0.624 \| good	4.128 \| good	0.333 \| good
2026-10-09T08:00:00.000Z	19 \| good	2.646 \| good	6.164 \| good	20.932 \| good	0.711 \| good	5.605 \| good	0.399 \| good
2026-10-09T09:00:00.000Z	25 \| good	1.83 \| good	3.008 \| good	26.751 \| good	0.167 \| good	2.525 \| good	0.116 \| good
2026-10-09T10:00:00.000Z	20 \| good	2.431 \| good	5.927 \| good	21.718 \| good	0.692 \| good	5.725 \| good	0.359 \| good
2026-10-09T11:00:00.000Z	20 \| good	2.431 \| good	5.927 \| good	21.729 \| good	0.692 \| good	4.494 \| good	0.248 \| good
2026-10-09T12:00:00.000Z	21 \| good	2.431 \| good	5.927 \| good	23.256 \| good	0.695 \| good	2.969 \| good	0.19 \| good
2026-10-09T13:00:00.000Z	23 \| good	2.431 \| good	5.927 \| good	24.603 \| good	0.692 \| good	4.137 \| good	0.172 \| good
2026-10-09T13:00:00.000Z	31 \| good	3.11 \| good	7.516 \| good	33.41 \| good	0.101 \| good	1.094 \| good	0.121 \| good
2026-10-09T14:00:00.000Z	31 \| good	2.722 \| good	6.366 \| good	33.338 \| good	0.102 \| good	1.269 \| good	0.123 \| good
2026-10-09T15:00:00.000Z	31 \| good	3.025 \| good	6.32 \| good	33.355 \| good	0.106 \| good	1.469 \| good	0.126 \| good
2026-10-09T16:00:00.000Z	31 \| good	3.51 \| good	6.093 \| good	32.624 \| good	0.123 \| good	1.799 \| good	0.128 \| good
2026-10-09T17:00:00.000Z	29 \| good	4.044 \| good	7.84 \| good	31.341 \| good	0.139 \| good	2.234 \| good	0.131 \| good
2026-10-09T18:00:00.000Z	27 \| good	4.234 \| good	7.882 \| good	29.216 \| good	0.177 \| good	2.675 \| good	0.132 \| good
2026-10-09T19:00:00.000Z	26 \| good	4.133 \| good	7.985 \| good	28.393 \| good	0.189 \| good	3.011 \| good	0.131 \| good
2026-10-09T20:00:00.000Z	27 \| good	3.985 \| good	7.949 \| good	29.19 \| good	0.179 \| good	2.228 \| good	0.132 \| good
2026-10-09T21:00:00.000Z	27 \| good	3.779 \| good	8.44 \| good	28.865 \| good	0.171 \| good	1.953 \| good	0.133 \| good
2026-10-09T22:00:00.000Z	26 \| good	3.517 \| good	8.529 \| good	28.337 \| good	0.153 \| good	1.944 \| good	0.134 \| good
2026-10-09T23:00:00.000Z	27 \| good	3.098 \| good	8.342 \| good	29.006 \| good	0.117 \| good	1.647 \| good	0.134 \| good
2026-10-10T00:00:00.000Z	28 \| good	2.9 \| good	7.809 \| good	30.316 \| good	0.086 \| good	1.218 \| good	0.131 \| good
2026-10-10T01:00:00.000Z	29 \| good	2.596 \| good	5.081 \| good	30.595 \| good	0.067 \| good	0.856 \| good	0.129 \| good
2026-10-10T02:00:00.000Z	29 \| good	2.56 \| good	5.359 \| good	31.418 \| good	0.058 \| good	0.653 \| good	0.129 \| good
2026-10-10T03:00:00.000Z	31 \| good	2.768 \| good	5.861 \| good	33.212 \| good	0.062 \| good	0.558 \| good	0.131 \| good
2026-10-10T04:00:00.000Z	32 \| good	3.003 \| good	6.251 \| good	34.583 \| good	0.065 \| good	0.53 \| good	0.131 \| good
2026-10-10T05:00:00.000Z	33 \| good	3.167 \| good	6.75 \| good	35.578 \| good	0.076 \| good	0.57 \| good	0.131 \| good
2026-10-10T06:00:00.000Z	33 \| good	3.112 \| good	7.405 \| good	36.201 \| good	0.091 \| good	0.768 \| good	0.132 \| good
2026-10-10T07:00:00.000Z	33 \| good	3.132 \| good	8.455 \| good	36.047 \| good	0.11 \| good	1.035 \| good	0.137 \| good
2026-10-10T08:00:00.000Z	34 \| good	3.367 \| good	7.741 \| good	36.637 \| good	0.113 \| good	0.967 \| good	0.137 \| good
2026-10-10T09:00:00.000Z	34 \| good	3.288 \| good	7.343 \| good	37.277 \| good	0.098 \| good	0.806 \| good	0.137 \| good
2026-10-10T10:00:00.000Z	35 \| good	3.215 \| good	6.419 \| good	37.501 \| good	0.09 \| good	0.768 \| good	0.137 \| good
2026-10-10T11:00:00.000Z	35 \| good	3.17 \| good	6.297 \| good	37.907 \| good	0.081 \| good	0.729 \| good	0.137 \| good
2026-10-10T12:00:00.000Z	35 \| good	3.015 \| good	6.312 \| good	37.746 \| good	0.077 \| good	0.726 \| good	0.138 \| good
2026-10-10T13:00:00.000Z	35 \| good	2.876 \| good	6.24 \| good	37.768 \| good	0.076 \| good	0.754 \| good	0.138 \| good
2026-10-10T14:00:00.000Z	34 \| good	2.88 \| good	6.157 \| good	37.231 \| good	0.076 \| good	0.792 \| good	0.137 \| good
2026-10-10T15:00:00.000Z	34 \| good	2.952 \| good	6.49 \| good	37.115 \| good	0.077 \| good	0.841 \| good	0.137 \| good
2026-10-10T16:00:00.000Z	33 \| good	2.743 \| good	6.585 \| good	36.391 \| good	0.084 \| good	1.019 \| good	0.138 \| good
2026-10-10T17:00:00.000Z	32 \| good	2.823 \| good	6.881 \| good	34.9 \| good	0.093 \| good	1.319 \| good	0.139 \| good
2026-10-10T18:00:00.000Z	31 \| good	2.792 \| good	7.132 \| good	33.911 \| good	0.106 \| good	1.457 \| good	0.139 \| good
2026-10-10T19:00:00.000Z	31 \| good	2.793 \| good	6.632 \| good	33.616 \| good	0.113 \| good	1.447 \| good	0.136 \| good
2026-10-10T20:00:00.000Z	31 \| good	2.917 \| good	6.724 \| good	33.064 \| good	0.113 \| good	1.377 \| good	0.136 \| good
2026-10-10T21:00:00.000Z	31 \| good	2.924 \| good	6.454 \| good	32.814 \| good	0.109 \| good	1.298 \| good	0.136 \| good
2026-10-10T22:00:00.000Z	30 \| good	2.995 \| good	5.944 \| good	32.475 \| good	0.105 \| good	1.163 \| good	0.135 \| good
2026-10-10T23:00:00.000Z	30 \| good	2.962 \| good	5.669 \| good	32.218 \| good	0.085 \| good	1.034 \| good	0.134 \| good
2026-10-11T00:00:00.000Z	30 \| good	3.013 \| good	6.137 \| good	32.033 \| good	0.08 \| good	1.046 \| good	0.133 \| good
2026-10-11T01:00:00.000Z	30 \| good	3.065 \| good	6.424 \| good	31.651 \| good	0.079 \| good	0.867 \| good	0.132 \| good
2026-10-11T02:00:00.000Z	29 \| good	2.918 \| good	6.385 \| good	31.347 \| good	0.079 \| good	0.822 \| good	0.132 \| good
2026-10-11T03:00:00.000Z	29 \| good	2.886 \| good	6.102 \| good	30.693 \| good	0.082 \| good	0.816 \| good	0.132 \| good
2026-10-11T04:00:00.000Z	28 \| good	2.82 \| good	5.712 \| good	30.268 \| good	0.087 \| good	0.872 \| good	0.133 \| good
2026-10-11T05:00:00.000Z	28 \| good	2.821 \| good	5.808 \| good	29.635 \| good	0.097 \| good	1.045 \| good	0.133 \| good
2026-10-11T06:00:00.000Z	27 \| good	2.851 \| good	5.702 \| good	28.956 \| good	0.133 \| good	1.465 \| good	0.134 \| good
2026-10-11T07:00:00.000Z	26 \| good	3.121 \| good	5.649 \| good	28.309 \| good	0.179 \| good	1.944 \| good	0.14 \| good
2026-10-11T08:00:00.000Z	25 \| good	3.186 \| good	5.971 \| good	27.463 \| good	0.185 \| good	1.919 \| good	0.139 \| good
2026-10-11T09:00:00.000Z	26 \| good	3.109 \| good	6.116 \| good	27.654 \| good	0.165 \| good	1.578 \| good	0.137 \| good
2026-10-11T10:00:00.000Z	27 \| good	2.375 \| good	5.708 \| good	28.943 \| good	0.162 \| good	1.365 \| good	0.136 \| good
2026-10-11T11:00:00.000Z	29 \| good	2.223 \| good	5.234 \| good	31.055 \| good	0.134 \| good	1.169 \| good	0.136 \| good
2026-10-11T12:00:00.000Z	29 \| good	2.094 \| good	4.817 \| good	31.305 \| good	0.129 \| good	1.394 \| good	0.135 \| good

Washington

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Real-time air quality map: Monitor AQI near Washington, Tyne and Wear

0.19ppm

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

The air quality data for Tyne and Wear, UK is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for Washington, Tyne and Wear get updated?

Air quality updates for Washington, Tyne and Wear are available every hour.

What time in the past 24 hours saw the poorest air quality in Washington, Tyne and Wear?

Washington, Tyne and Wear experienced its worst air quality at 09:00:00, 2026-10-09.

When was air quality in Washington, Tyne and Wear the best over the past 24 hours?

The best air quality in Washington, Tyne and Wear was observed at 10:00:00 on 2026-10-08.

What is the air quality in Washington, Tyne and Wear right now?

The air quality in Washington, Tyne and Wear right now is Good, with an AQI of 21.

What pollutant is most frequently found in Washington, Tyne and Wear?

In Washington, Tyne and Wear, O3 is the most frequently found pollutant.

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

When air quality in Washington, Tyne and Wear is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Washington, Tyne and Wear right now?

Washington, Tyne and Wear currently has a PM_2.5 concentration of 2.431 μg/m³.

What is the current level of PM₁₀ in Washington, Tyne and Wear?

Washington, Tyne and Wear currently has a PM₁₀ concentration of 5.927 μg/m³.

What is the current level of carbon monoxide (CO) in Washington, Tyne and Wear?

The current carbon monoxide (CO) level in Washington, Tyne and Wear is 0.19 ppm.

What is the current level of sulfur dioxide (SO₂) in Washington, Tyne and Wear?

The current sulfur dioxide (SO₂) concentration in Washington, Tyne and Wear is 0.695 ppb.

What is the current level of ozone (O₃) in Washington, Tyne and Wear?

Washington, Tyne and Wear currently has an ozone (O₃) concentration of 23.256 ppm.

What is the current level of nitrogen dioxide (NO₂) in Washington, Tyne and Wear?

The current level of nitrogen dioxide (NO₂) in Washington, Tyne and Wear is 2.969 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-07T14:00:00.000Z	27 \| good	4.762 \| good	13.539 \| good	15.64 \| good	0.691 \| good	6.689 \| good	0.189 \| good
2026-10-07T15:00:00.000Z	27 \| good	4.762 \| good	13.278 \| good	17.124 \| good	0.741 \| good	7.824 \| good	0.174 \| good
2026-10-07T16:00:00.000Z	22 \| good	4.266 \| good	12.828 \| good	18.995 \| good	0.741 \| good	8.504 \| good	0.174 \| good
2026-10-07T17:00:00.000Z	22 \| good	4.266 \| good	12.828 \| good	21.361 \| good	0.664 \| good	6.951 \| good	0.268 \| good
2026-10-07T18:00:00.000Z	22 \| good	4.266 \| good	12.377 \| good	23.238 \| good	0.382 \| good	8.28 \| good	0.32 \| good
2026-10-07T19:00:00.000Z	22 \| good	4.266 \| good	12.094 \| good	23.728 \| good	0.43 \| good	12.285 \| good	0.552 \| good
2026-10-07T20:00:00.000Z	22 \| good	4.266 \| good	11.901 \| good	24.104 \| good	0.487 \| good	13.742 \| good	0.525 \| good
2026-10-07T21:00:00.000Z	22 \| good	3.765 \| good	10.578 \| good	23.478 \| good	0.487 \| good	9.587 \| good	0.526 \| good
2026-10-07T22:00:00.000Z	22 \| good	3.765 \| good	10.578 \| good	23.513 \| good	0.487 \| good	6.725 \| good	0.449 \| good
2026-10-07T23:00:00.000Z	21 \| good	3.482 \| good	10.295 \| good	23.071 \| good	0.556 \| good	5.258 \| good	0.443 \| good
2026-10-08T00:00:00.000Z	21 \| good	3.482 \| good	10.057 \| good	22.789 \| good	0.406 \| good	3.728 \| good	0.401 \| good
2026-10-08T01:00:00.000Z	20 \| good	3.482 \| good	10.057 \| good	22.476 \| good	0.579 \| good	2.603 \| good	0.36 \| good
2026-10-08T02:00:00.000Z	20 \| good	3.215 \| good	8.244 \| good	21.661 \| good	0.549 \| good	2.831 \| good	0.334 \| good
2026-10-08T03:00:00.000Z	19 \| good	3.215 \| good	7.983 \| good	21.258 \| good	0.76 \| good	2.368 \| good	0.318 \| good
2026-10-08T04:00:00.000Z	19 \| good	3.215 \| good	7.748 \| good	21.213 \| good	0.719 \| good	1.837 \| good	0.374 \| good
2026-10-08T05:00:00.000Z	21 \| good	2.453 \| good	6.66 \| good	22.684 \| good	0.527 \| good	1.976 \| good	0.34 \| good
2026-10-08T06:00:00.000Z	20 \| good	2.238 \| good	6.66 \| good	21.522 \| good	0.557 \| good	3.286 \| good	0.359 \| good
2026-10-08T07:00:00.000Z	19 \| good	2.215 \| good	6.66 \| good	21.051 \| good	0.651 \| good	5.561 \| good	0.371 \| good
2026-10-08T08:00:00.000Z	19 \| good	2.215 \| good	6.445 \| good	20.472 \| good	0.48 \| good	10.154 \| good	0.402 \| good
2026-10-08T09:00:00.000Z	18 \| good	2.215 \| good	6.445 \| good	18.562 \| good	0.594 \| good	11.624 \| good	0.355 \| good
2026-10-08T10:00:00.000Z	19 \| good	2.215 \| good	6.445 \| good	19.983 \| good	0.791 \| good	8.523 \| good	0.302 \| good
2026-10-08T11:00:00.000Z	18 \| good	2.215 \| good	6.21 \| good	19.452 \| good	1.008 \| good	7.331 \| good	0.276 \| good
2026-10-08T12:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	20.474 \| good	0.77 \| good	7.941 \| good	0.246 \| good
2026-10-08T13:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	20.491 \| good	0.507 \| good	6.542 \| good	0.237 \| good
2026-10-08T14:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	21.063 \| good	0.436 \| good	6.559 \| good	0.229 \| good
2026-10-08T15:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	21.375 \| good	0.436 \| good	6.559 \| good	0.224 \| good
2026-10-08T16:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	21.473 \| good	0.436 \| good	6.559 \| good	0.267 \| good
2026-10-08T17:00:00.000Z	20 \| good	2.431 \| good	6.21 \| good	21.869 \| good	0.436 \| good	6.559 \| good	0.284 \| good
2026-10-08T18:00:00.000Z	20 \| good	2.431 \| good	6.21 \| good	21.785 \| good	0.436 \| good	6.559 \| good	0.364 \| good
2026-10-08T19:00:00.000Z	19 \| good	2.431 \| good	6.21 \| good	19.577 \| good	0.435 \| good	6.559 \| good	0.346 \| good
2026-10-08T20:00:00.000Z	18 \| good	2.431 \| good	6.142 \| good	18.705 \| good	0.382 \| good	12.203 \| good	0.474 \| good
2026-10-08T21:00:00.000Z	18 \| good	2.431 \| good	6.142 \| good	18.612 \| good	0.393 \| good	8.914 \| good	0.488 \| good
2026-10-08T22:00:00.000Z	16 \| good	2.431 \| good	6.142 \| good	17.11 \| good	0.382 \| good	6.272 \| good	0.508 \| good
2026-10-08T23:00:00.000Z	23 \| good	2.431 \| good	6.162 \| good	24.926 \| good	0.544 \| good	4.503 \| good	0.47 \| good
2026-10-09T00:00:00.000Z	23 \| good	2.431 \| good	6.162 \| good	25.074 \| good	0.718 \| good	4.294 \| good	0.385 \| good
2026-10-09T01:00:00.000Z	23 \| good	2.431 \| good	6.162 \| good	24.577 \| good	0.483 \| good	4.216 \| good	0.373 \| good
2026-10-09T02:00:00.000Z	21 \| good	2.431 \| good	6.142 \| good	22.919 \| good	0.553 \| good	3.52 \| good	0.351 \| good
2026-10-09T03:00:00.000Z	22 \| good	2.431 \| good	6.142 \| good	24.093 \| good	1.11 \| good	4.133 \| good	0.27 \| good
2026-10-09T04:00:00.000Z	22 \| good	2.646 \| good	6.403 \| good	24.167 \| good	0.833 \| good	5.128 \| good	0.153 \| good
2026-10-09T05:00:00.000Z	21 \| good	2.646 \| good	6.164 \| good	22.881 \| good	1.02 \| good	2.832 \| good	0.241 \| good
2026-10-09T06:00:00.000Z	20 \| good	2.646 \| good	6.164 \| good	21.611 \| good	0.663 \| good	3.208 \| good	0.269 \| good
2026-10-09T07:00:00.000Z	19 \| good	2.646 \| good	6.164 \| good	20.582 \| good	0.624 \| good	4.128 \| good	0.333 \| good
2026-10-09T08:00:00.000Z	19 \| good	2.646 \| good	6.164 \| good	20.932 \| good	0.711 \| good	5.605 \| good	0.399 \| good
2026-10-09T09:00:00.000Z	25 \| good	1.83 \| good	3.008 \| good	26.751 \| good	0.167 \| good	2.525 \| good	0.116 \| good
2026-10-09T10:00:00.000Z	20 \| good	2.431 \| good	5.927 \| good	21.718 \| good	0.692 \| good	5.725 \| good	0.359 \| good
2026-10-09T11:00:00.000Z	20 \| good	2.431 \| good	5.927 \| good	21.729 \| good	0.692 \| good	4.494 \| good	0.248 \| good
2026-10-09T12:00:00.000Z	21 \| good	2.431 \| good	5.927 \| good	23.256 \| good	0.695 \| good	2.969 \| good	0.19 \| good
2026-10-09T13:00:00.000Z	23 \| good	2.431 \| good	5.927 \| good	24.603 \| good	0.692 \| good	4.137 \| good	0.172 \| good
2026-10-09T13:00:00.000Z	31 \| good	3.11 \| good	7.516 \| good	33.41 \| good	0.101 \| good	1.094 \| good	0.121 \| good
2026-10-09T14:00:00.000Z	31 \| good	2.722 \| good	6.366 \| good	33.338 \| good	0.102 \| good	1.269 \| good	0.123 \| good
2026-10-09T15:00:00.000Z	31 \| good	3.025 \| good	6.32 \| good	33.355 \| good	0.106 \| good	1.469 \| good	0.126 \| good
2026-10-09T16:00:00.000Z	31 \| good	3.51 \| good	6.093 \| good	32.624 \| good	0.123 \| good	1.799 \| good	0.128 \| good
2026-10-09T17:00:00.000Z	29 \| good	4.044 \| good	7.84 \| good	31.341 \| good	0.139 \| good	2.234 \| good	0.131 \| good
2026-10-09T18:00:00.000Z	27 \| good	4.234 \| good	7.882 \| good	29.216 \| good	0.177 \| good	2.675 \| good	0.132 \| good
2026-10-09T19:00:00.000Z	26 \| good	4.133 \| good	7.985 \| good	28.393 \| good	0.189 \| good	3.011 \| good	0.131 \| good
2026-10-09T20:00:00.000Z	27 \| good	3.985 \| good	7.949 \| good	29.19 \| good	0.179 \| good	2.228 \| good	0.132 \| good
2026-10-09T21:00:00.000Z	27 \| good	3.779 \| good	8.44 \| good	28.865 \| good	0.171 \| good	1.953 \| good	0.133 \| good
2026-10-09T22:00:00.000Z	26 \| good	3.517 \| good	8.529 \| good	28.337 \| good	0.153 \| good	1.944 \| good	0.134 \| good
2026-10-09T23:00:00.000Z	27 \| good	3.098 \| good	8.342 \| good	29.006 \| good	0.117 \| good	1.647 \| good	0.134 \| good
2026-10-10T00:00:00.000Z	28 \| good	2.9 \| good	7.809 \| good	30.316 \| good	0.086 \| good	1.218 \| good	0.131 \| good
2026-10-10T01:00:00.000Z	29 \| good	2.596 \| good	5.081 \| good	30.595 \| good	0.067 \| good	0.856 \| good	0.129 \| good
2026-10-10T02:00:00.000Z	29 \| good	2.56 \| good	5.359 \| good	31.418 \| good	0.058 \| good	0.653 \| good	0.129 \| good
2026-10-10T03:00:00.000Z	31 \| good	2.768 \| good	5.861 \| good	33.212 \| good	0.062 \| good	0.558 \| good	0.131 \| good
2026-10-10T04:00:00.000Z	32 \| good	3.003 \| good	6.251 \| good	34.583 \| good	0.065 \| good	0.53 \| good	0.131 \| good
2026-10-10T05:00:00.000Z	33 \| good	3.167 \| good	6.75 \| good	35.578 \| good	0.076 \| good	0.57 \| good	0.131 \| good
2026-10-10T06:00:00.000Z	33 \| good	3.112 \| good	7.405 \| good	36.201 \| good	0.091 \| good	0.768 \| good	0.132 \| good
2026-10-10T07:00:00.000Z	33 \| good	3.132 \| good	8.455 \| good	36.047 \| good	0.11 \| good	1.035 \| good	0.137 \| good
2026-10-10T08:00:00.000Z	34 \| good	3.367 \| good	7.741 \| good	36.637 \| good	0.113 \| good	0.967 \| good	0.137 \| good
2026-10-10T09:00:00.000Z	34 \| good	3.288 \| good	7.343 \| good	37.277 \| good	0.098 \| good	0.806 \| good	0.137 \| good
2026-10-10T10:00:00.000Z	35 \| good	3.215 \| good	6.419 \| good	37.501 \| good	0.09 \| good	0.768 \| good	0.137 \| good
2026-10-10T11:00:00.000Z	35 \| good	3.17 \| good	6.297 \| good	37.907 \| good	0.081 \| good	0.729 \| good	0.137 \| good
2026-10-10T12:00:00.000Z	35 \| good	3.015 \| good	6.312 \| good	37.746 \| good	0.077 \| good	0.726 \| good	0.138 \| good
2026-10-10T13:00:00.000Z	35 \| good	2.876 \| good	6.24 \| good	37.768 \| good	0.076 \| good	0.754 \| good	0.138 \| good
2026-10-10T14:00:00.000Z	34 \| good	2.88 \| good	6.157 \| good	37.231 \| good	0.076 \| good	0.792 \| good	0.137 \| good
2026-10-10T15:00:00.000Z	34 \| good	2.952 \| good	6.49 \| good	37.115 \| good	0.077 \| good	0.841 \| good	0.137 \| good
2026-10-10T16:00:00.000Z	33 \| good	2.743 \| good	6.585 \| good	36.391 \| good	0.084 \| good	1.019 \| good	0.138 \| good
2026-10-10T17:00:00.000Z	32 \| good	2.823 \| good	6.881 \| good	34.9 \| good	0.093 \| good	1.319 \| good	0.139 \| good
2026-10-10T18:00:00.000Z	31 \| good	2.792 \| good	7.132 \| good	33.911 \| good	0.106 \| good	1.457 \| good	0.139 \| good
2026-10-10T19:00:00.000Z	31 \| good	2.793 \| good	6.632 \| good	33.616 \| good	0.113 \| good	1.447 \| good	0.136 \| good
2026-10-10T20:00:00.000Z	31 \| good	2.917 \| good	6.724 \| good	33.064 \| good	0.113 \| good	1.377 \| good	0.136 \| good
2026-10-10T21:00:00.000Z	31 \| good	2.924 \| good	6.454 \| good	32.814 \| good	0.109 \| good	1.298 \| good	0.136 \| good
2026-10-10T22:00:00.000Z	30 \| good	2.995 \| good	5.944 \| good	32.475 \| good	0.105 \| good	1.163 \| good	0.135 \| good
2026-10-10T23:00:00.000Z	30 \| good	2.962 \| good	5.669 \| good	32.218 \| good	0.085 \| good	1.034 \| good	0.134 \| good
2026-10-11T00:00:00.000Z	30 \| good	3.013 \| good	6.137 \| good	32.033 \| good	0.08 \| good	1.046 \| good	0.133 \| good
2026-10-11T01:00:00.000Z	30 \| good	3.065 \| good	6.424 \| good	31.651 \| good	0.079 \| good	0.867 \| good	0.132 \| good
2026-10-11T02:00:00.000Z	29 \| good	2.918 \| good	6.385 \| good	31.347 \| good	0.079 \| good	0.822 \| good	0.132 \| good
2026-10-11T03:00:00.000Z	29 \| good	2.886 \| good	6.102 \| good	30.693 \| good	0.082 \| good	0.816 \| good	0.132 \| good
2026-10-11T04:00:00.000Z	28 \| good	2.82 \| good	5.712 \| good	30.268 \| good	0.087 \| good	0.872 \| good	0.133 \| good
2026-10-11T05:00:00.000Z	28 \| good	2.821 \| good	5.808 \| good	29.635 \| good	0.097 \| good	1.045 \| good	0.133 \| good
2026-10-11T06:00:00.000Z	27 \| good	2.851 \| good	5.702 \| good	28.956 \| good	0.133 \| good	1.465 \| good	0.134 \| good
2026-10-11T07:00:00.000Z	26 \| good	3.121 \| good	5.649 \| good	28.309 \| good	0.179 \| good	1.944 \| good	0.14 \| good
2026-10-11T08:00:00.000Z	25 \| good	3.186 \| good	5.971 \| good	27.463 \| good	0.185 \| good	1.919 \| good	0.139 \| good
2026-10-11T09:00:00.000Z	26 \| good	3.109 \| good	6.116 \| good	27.654 \| good	0.165 \| good	1.578 \| good	0.137 \| good
2026-10-11T10:00:00.000Z	27 \| good	2.375 \| good	5.708 \| good	28.943 \| good	0.162 \| good	1.365 \| good	0.136 \| good
2026-10-11T11:00:00.000Z	29 \| good	2.223 \| good	5.234 \| good	31.055 \| good	0.134 \| good	1.169 \| good	0.136 \| good
2026-10-11T12:00:00.000Z	29 \| good	2.094 \| good	4.817 \| good	31.305 \| good	0.129 \| good	1.394 \| good	0.135 \| good

Current air quality index in Washington, Tyne and Wear today

Common air pollutants in Washington, Tyne and Wear

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Washington, Tyne and Wear

Air quality in nearby cities

Shiney Row, Tyne and Wear

Birtley, Tyne and Wear

ChesterleStreet, County Durham

HoughtonLeSpring, Tyne and Wear

Gateshead, Tyne and Wear

Hebburn, Tyne and Wear

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

Air quality levels in UK

Frequently asked questions

How frequently does the air quality data for Washington, Tyne and Wear get updated?

What time in the past 24 hours saw the poorest air quality in Washington, Tyne and Wear?

When was air quality in Washington, Tyne and Wear the best over the past 24 hours?

What is the air quality in Washington, Tyne and Wear right now?

What pollutant is most frequently found in Washington, Tyne and Wear?

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

What is the PM2.5 concentration in Washington, Tyne and Wear right now?

What is the current level of PM10 in Washington, Tyne and Wear?

What is the current level of carbon monoxide (CO) in Washington, Tyne and Wear?

What is the current level of sulfur dioxide (SO2) in Washington, Tyne and Wear?

What is the current level of ozone (O3) in Washington, Tyne and Wear?

What is the current level of nitrogen dioxide (NO2) in Washington, Tyne and Wear?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Washington, Tyne and Wear right now?

What is the current level of PM₁₀ in Washington, Tyne and Wear?

What is the current level of sulfur dioxide (SO₂) in Washington, Tyne and Wear?

What is the current level of ozone (O₃) in Washington, Tyne and Wear?

What is the current level of nitrogen dioxide (NO₂) in Washington, Tyne and Wear?