What is the current concentration of PM10 in Warmsworth, South Yorkshire?

The current PM10 concentration at Warmsworth, South Yorkshire is 17.588 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Warmsworth, South Yorkshire?

The current sulfur dioxide (SO2) concentration at Warmsworth, South Yorkshire is 0.522 ppb.

What is the current concentration of ozone (O3) in Warmsworth, South Yorkshire?

The current ozone (O3) concentration at Warmsworth, South Yorkshire is 30.409 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Warmsworth, South Yorkshire?

The current nitrogen dioxide (NO2) concentration at Warmsworth, South Yorkshire is 6.104 ppb.

Warmsworth, South Yorkshire live air quality index now

Q: What is the current concentration of PM2.5 in Warmsworth, South Yorkshire?

The current PM2.5 concentration at Warmsworth, South Yorkshire is 4.051 μg/m3.

Stay updated with real-time air quality in Warmsworth, South Yorkshire 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

Warmsworth, South Yorkshire

Last updated: ... (Local time)

Major air pollutants in Warmsworth, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.05 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

17.59 μg/m³

155

255

425

605+

Ozone (O₃)

30.41 ppb

201

201+

Sulfur Dioxide (SO₂)

0.52 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.10 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Warmsworth, South Yorkshire

Get Live Pollen Counts

Warmsworth, South Yorkshire

Scroll To Air Quality Map

Track live Warmsworth, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-06-27T19:00:00.000Z	37 \| good	5.026 \| good	19.559 \| good	40.456 \| good	0.435 \| good	5.216 \| good	0.187 \| good
2026-06-27T20:00:00.000Z	38 \| good	4.954 \| good	19.342 \| good	40.689 \| good	0.424 \| good	4.039 \| good	0.2 \| good
2026-06-27T21:00:00.000Z	37 \| good	4.273 \| good	16.864 \| good	40.399 \| good	0.429 \| good	5.146 \| good	0.217 \| good
2026-06-27T22:00:00.000Z	37 \| good	4.364 \| good	17.167 \| good	39.806 \| good	0.438 \| good	7.39 \| good	0.181 \| good
2026-06-27T23:00:00.000Z	31 \| good	4.302 \| good	17.105 \| good	34.317 \| good	0.437 \| good	6.016 \| good	0.17 \| good
2026-06-28T00:00:00.000Z	34 \| good	4.922 \| good	19.583 \| good	37.043 \| good	0.433 \| good	5.852 \| good	0.151 \| good
2026-06-28T01:00:00.000Z	32 \| good	4.922 \| good	19.583 \| good	34.73 \| good	0.5 \| good	5.207 \| good	0.144 \| good
2026-06-28T02:00:00.000Z	32 \| good	5.085 \| good	20.128 \| good	35.107 \| good	0.387 \| good	3.935 \| good	0.13 \| good
2026-06-28T03:00:00.000Z	31 \| good	5.146 \| good	20.128 \| good	33.249 \| good	0.438 \| good	2.613 \| good	0.127 \| good
2026-06-28T04:00:00.000Z	28 \| good	5.146 \| good	20.19 \| good	29.502 \| good	0.387 \| good	1.767 \| good	0.123 \| good
2026-06-28T05:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	27.69 \| good	0.431 \| good	1.528 \| good	0.13 \| good
2026-06-28T06:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	29.038 \| good	0.433 \| good	1.758 \| good	0.144 \| good
2026-06-28T07:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	26.315 \| good	0.434 \| good	1.52 \| good	0.146 \| good
2026-06-28T08:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	26.084 \| good	0.44 \| good	1.302 \| good	0.151 \| good
2026-06-28T09:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	25.534 \| good	0.452 \| good	1.596 \| good	0.139 \| good
2026-06-28T10:00:00.000Z	23 \| good	4.364 \| good	17.01 \| good	25.327 \| good	0.518 \| good	1.436 \| good	0.132 \| good
2026-06-28T11:00:00.000Z	25 \| good	4.393 \| good	17.484 \| good	26.543 \| good	0.44 \| good	2.191 \| good	0.13 \| good
2026-06-28T12:00:00.000Z	24 \| good	4.393 \| good	17.484 \| good	25.913 \| good	0.382 \| good	2.051 \| good	0.129 \| good
2026-06-28T13:00:00.000Z	24 \| good	4.393 \| good	17.328 \| good	26.125 \| good	0.44 \| good	1.988 \| good	0.13 \| good
2026-06-28T14:00:00.000Z	26 \| good	4.393 \| good	17.328 \| good	27.653 \| good	0.466 \| good	2.376 \| good	0.037 \| good
2026-06-28T15:00:00.000Z	27 \| good	4.237 \| good	17.256 \| good	28.591 \| good	0.44 \| good	1.993 \| good	0.036 \| good
2026-06-28T16:00:00.000Z	27 \| good	4.237 \| good	17.256 \| good	29.347 \| good	0.438 \| good	2.34 \| good	0.039 \| good
2026-06-28T17:00:00.000Z	27 \| good	4.328 \| good	17.62 \| good	29.487 \| good	0.448 \| good	1.835 \| good	0.04 \| good
2026-06-28T18:00:00.000Z	28 \| good	4.328 \| good	17.62 \| good	30.067 \| good	0.435 \| good	1.987 \| good	0.045 \| good
2026-06-28T19:00:00.000Z	29 \| good	4.328 \| good	17.525 \| good	31.2 \| good	0.393 \| good	1.814 \| good	0.046 \| good
2026-06-28T20:00:00.000Z	31 \| good	4.256 \| good	17.525 \| good	33.209 \| good	0.484 \| good	2.014 \| good	0.048 \| good
2026-06-28T21:00:00.000Z	31 \| good	3.546 \| good	13.373 \| good	34.28 \| good	0.48 \| good	1.804 \| good	0.051 \| good
2026-06-28T22:00:00.000Z	32 \| good	3.546 \| good	13.373 \| good	34.701 \| good	0.44 \| good	2.894 \| good	0.047 \| good
2026-06-28T23:00:00.000Z	31 \| good	3.546 \| good	13.373 \| good	34.137 \| good	0.382 \| good	6.202 \| good	0.046 \| good
2026-06-29T00:00:00.000Z	31 \| good	3.455 \| good	12.827 \| good	33.392 \| good	0.382 \| good	5.637 \| good	0.153 \| good
2026-06-29T01:00:00.000Z	30 \| good	3.455 \| good	12.827 \| good	31.692 \| good	0.43 \| good	7.894 \| good	0.148 \| good
2026-06-29T02:00:00.000Z	29 \| good	3.455 \| good	12.827 \| good	30.625 \| good	0.382 \| good	6.702 \| good	0.134 \| good
2026-06-29T03:00:00.000Z	27 \| good	3.364 \| good	12.464 \| good	28.774 \| good	0.39 \| good	4.202 \| good	0.132 \| good
2026-06-29T04:00:00.000Z	25 \| good	3.364 \| good	12.464 \| good	27.114 \| good	0.382 \| good	4.118 \| good	0.132 \| good
2026-06-29T05:00:00.000Z	23 \| good	3.364 \| good	12.464 \| good	25.099 \| good	0.44 \| good	5.583 \| good	0.136 \| good
2026-06-29T06:00:00.000Z	23 \| good	3.364 \| good	12.464 \| good	25.034 \| good	0.496 \| good	6.703 \| good	0.153 \| good
2026-06-29T07:00:00.000Z	23 \| good	3.364 \| good	12.464 \| good	24.529 \| good	0.423 \| good	6.837 \| good	0.172 \| good
2026-06-29T08:00:00.000Z	20 \| good	3.364 \| good	12.692 \| good	21.564 \| good	0.516 \| good	7.492 \| good	0.167 \| good
2026-06-29T09:00:00.000Z	19 \| good	3.425 \| good	12.753 \| good	21.236 \| good	0.465 \| good	5.749 \| good	0.153 \| good
2026-06-29T10:00:00.000Z	22 \| good	4.045 \| good	16.625 \| good	21.342 \| good	0.506 \| good	4.754 \| good	0.132 \| good
2026-06-29T11:00:00.000Z	22 \| good	4.045 \| good	16.625 \| good	22.855 \| good	0.506 \| good	3.244 \| good	0.123 \| good
2026-06-29T12:00:00.000Z	22 \| good	4.273 \| good	16.854 \| good	23.558 \| good	0.455 \| good	4.299 \| good	0.123 \| good
2026-06-29T13:00:00.000Z	22 \| good	4.273 \| good	16.854 \| good	24.193 \| good	0.467 \| good	3.606 \| good	0.122 \| good
2026-06-29T14:00:00.000Z	23 \| good	4.273 \| good	16.854 \| good	24.917 \| good	0.455 \| good	3.868 \| good	0.136 \| good
2026-06-29T15:00:00.000Z	26 \| good	4.182 \| good	16.562 \| good	27.979 \| good	0.466 \| good	6.593 \| good	0.139 \| good
2026-06-29T16:00:00.000Z	28 \| good	4.182 \| good	16.562 \| good	29.552 \| good	0.5 \| good	7.109 \| good	0.124 \| good
2026-06-29T17:00:00.000Z	29 \| good	4.182 \| good	16.562 \| good	31.342 \| good	0.491 \| good	6.131 \| good	0.173 \| good
2026-06-29T18:00:00.000Z	28 \| good	4.182 \| good	16.501 \| good	29.886 \| good	0.508 \| good	6.851 \| good	0.174 \| good
2026-06-29T18:00:00.000Z	28 \| good	4.051 \| good	17.588 \| good	30.409 \| good	0.522 \| good	6.104 \| good	0.174 \| good
2026-06-29T19:00:00.000Z	36 \| good	5.719 \| good	9.402 \| good	38.88 \| good	0.269 \| good	2.918 \| good	0.1 \| good
2026-06-29T20:00:00.000Z	33 \| good	5.884 \| good	10.266 \| good	35.672 \| good	0.346 \| good	3.83 \| good	0.103 \| good
2026-06-29T21:00:00.000Z	33 \| good	6.221 \| good	10.962 \| good	31.591 \| good	0.45 \| good	4.937 \| good	0.105 \| good
2026-06-29T22:00:00.000Z	38 \| good	6.585 \| good	10.172 \| good	28.42 \| good	0.461 \| good	4.878 \| good	0.105 \| good
2026-06-29T23:00:00.000Z	38 \| good	6.719 \| good	9.926 \| good	27.583 \| good	0.384 \| good	4.952 \| good	0.101 \| good
2026-06-30T00:00:00.000Z	38 \| good	6.919 \| good	9.837 \| good	25.573 \| good	0.322 \| good	4.69 \| good	0.1 \| good
2026-06-30T01:00:00.000Z	38 \| good	7.237 \| good	10.448 \| good	25.126 \| good	0.329 \| good	4.155 \| good	0.097 \| good
2026-06-30T02:00:00.000Z	44 \| good	7.799 \| good	10.445 \| good	23.988 \| good	0.347 \| good	3.932 \| good	0.096 \| good
2026-06-30T03:00:00.000Z	44 \| good	8.339 \| good	10.941 \| good	22.576 \| good	0.363 \| good	4.455 \| good	0.096 \| good
2026-06-30T04:00:00.000Z	49 \| good	8.651 \| good	11.242 \| good	22.013 \| good	0.404 \| good	5.322 \| good	0.098 \| good
2026-06-30T05:00:00.000Z	49 \| good	8.81 \| good	11.752 \| good	21.653 \| good	0.443 \| good	5.659 \| good	0.101 \| good
2026-06-30T06:00:00.000Z	44 \| good	8.033 \| good	11.522 \| good	19.482 \| good	0.45 \| good	6.066 \| good	0.105 \| good
2026-06-30T07:00:00.000Z	38 \| good	6.937 \| good	10.522 \| good	21.304 \| good	0.407 \| good	5.796 \| good	0.109 \| good
2026-06-30T08:00:00.000Z	33 \| good	5.794 \| good	9.535 \| good	25.946 \| good	0.293 \| good	3.961 \| good	0.103 \| good
2026-06-30T09:00:00.000Z	29 \| good	5.108 \| good	8.469 \| good	30.697 \| good	0.233 \| good	2.907 \| good	0.099 \| good
2026-06-30T10:00:00.000Z	32 \| good	5.207 \| good	7.532 \| good	34.997 \| good	0.213 \| good	2.21 \| good	0.098 \| good
2026-06-30T11:00:00.000Z	35 \| good	5.235 \| good	7.234 \| good	38.181 \| good	0.199 \| good	1.838 \| good	0.098 \| good
2026-06-30T12:00:00.000Z	38 \| good	5.063 \| good	7.364 \| good	40.958 \| good	0.186 \| good	1.582 \| good	0.094 \| good
2026-06-30T13:00:00.000Z	38 \| good	5.086 \| good	7.332 \| good	41.47 \| good	0.169 \| good	1.487 \| good	0.093 \| good
2026-06-30T14:00:00.000Z	38 \| good	4.944 \| good	7.074 \| good	41.095 \| good	0.154 \| good	1.439 \| good	0.092 \| good
2026-06-30T15:00:00.000Z	35 \| good	4.286 \| good	6.305 \| good	37.817 \| good	0.148 \| good	1.673 \| good	0.092 \| good
2026-06-30T16:00:00.000Z	33 \| good	3.451 \| good	5.876 \| good	35.882 \| good	0.153 \| good	2.178 \| good	0.095 \| good
2026-06-30T17:00:00.000Z	31 \| good	3.052 \| good	5.12 \| good	33.532 \| good	0.184 \| good	2.706 \| good	0.099 \| good
2026-06-30T18:00:00.000Z	30 \| good	2.688 \| good	3.713 \| good	31.879 \| good	0.22 \| good	2.976 \| good	0.099 \| good
2026-06-30T19:00:00.000Z	28 \| good	2.987 \| good	4.288 \| good	30.234 \| good	0.264 \| good	3.409 \| good	0.096 \| good
2026-06-30T20:00:00.000Z	25 \| good	3.2 \| good	4.833 \| good	27.209 \| good	0.346 \| good	4.376 \| good	0.097 \| good
2026-06-30T21:00:00.000Z	23 \| good	4.151 \| good	6.122 \| good	24.506 \| good	0.429 \| good	6.286 \| good	0.1 \| good
2026-06-30T22:00:00.000Z	27 \| good	4.937 \| good	7.578 \| good	20.844 \| good	0.477 \| good	6.501 \| good	0.102 \| good
2026-06-30T23:00:00.000Z	27 \| good	5.484 \| good	8.38 \| good	19.454 \| good	0.478 \| good	6.431 \| good	0.103 \| good
2026-07-01T00:00:00.000Z	33 \| good	5.702 \| good	8.798 \| good	18.487 \| good	0.461 \| good	6.642 \| good	0.102 \| good
2026-07-01T01:00:00.000Z	33 \| good	5.797 \| good	8.789 \| good	19.696 \| good	0.433 \| good	6.649 \| good	0.098 \| good
2026-07-01T02:00:00.000Z	33 \| good	5.732 \| good	8.242 \| good	21.22 \| good	0.382 \| good	5.35 \| good	0.093 \| good
2026-07-01T03:00:00.000Z	27 \| good	5.205 \| good	7.307 \| good	23.419 \| good	0.365 \| good	4.154 \| good	0.091 \| good
2026-07-01T04:00:00.000Z	27 \| good	4.535 \| good	6.779 \| good	25.234 \| good	0.344 \| good	3.643 \| good	0.089 \| good
2026-07-01T05:00:00.000Z	27 \| good	4.703 \| good	6.664 \| good	25.897 \| good	0.334 \| good	3.247 \| good	0.087 \| good
2026-07-01T06:00:00.000Z	27 \| good	4.736 \| good	6.342 \| good	25.728 \| good	0.312 \| good	2.819 \| good	0.091 \| good
2026-07-01T07:00:00.000Z	24 \| good	4.214 \| good	5.906 \| good	25.837 \| good	0.318 \| good	3.195 \| good	0.096 \| good
2026-07-01T08:00:00.000Z	24 \| good	3.434 \| good	5.552 \| good	26.497 \| good	0.32 \| good	3.145 \| good	0.096 \| good
2026-07-01T09:00:00.000Z	25 \| good	3.352 \| good	5.074 \| good	27.327 \| good	0.305 \| good	2.971 \| good	0.095 \| good
2026-07-01T10:00:00.000Z	28 \| good	3.153 \| good	4.52 \| good	29.676 \| good	0.27 \| good	2.36 \| good	0.094 \| good
2026-07-01T11:00:00.000Z	31 \| good	2.867 \| good	4.323 \| good	32.875 \| good	0.239 \| good	1.963 \| good	0.093 \| good
2026-07-01T12:00:00.000Z	32 \| good	2.921 \| good	4.145 \| good	35.176 \| good	0.214 \| good	1.713 \| good	0.093 \| good
2026-07-01T13:00:00.000Z	34 \| good	2.954 \| good	4.075 \| good	36.988 \| good	0.209 \| good	1.715 \| good	0.093 \| good
2026-07-01T14:00:00.000Z	34 \| good	2.842 \| good	4.105 \| good	37.029 \| good	0.209 \| good	1.566 \| good	0.092 \| good
2026-07-01T15:00:00.000Z	35 \| good	2.796 \| good	4.125 \| good	37.559 \| good	0.193 \| good	1.466 \| good	0.09 \| good
2026-07-01T16:00:00.000Z	34 \| good	2.776 \| good	4.111 \| good	36.635 \| good	0.194 \| good	1.538 \| good	0.089 \| good
2026-07-01T17:00:00.000Z	33 \| good	2.669 \| good	4.046 \| good	36.403 \| good	0.207 \| good	2.018 \| good	0.09 \| good
2026-07-01T18:00:00.000Z	31 \| good	2.683 \| good	3.994 \| good	33.788 \| good	0.218 \| good	2.413 \| good	0.091 \| good

Warmsworth

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Warmsworth, South Yorkshire air quality map: Track AQI near you

0.17ppm

How accurate is South Yorkshire, UK air quality data?

Air quality data and pollutant measurements for South Yorkshire, 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 Warmsworth, South Yorkshire updated?

The air quality for Warmsworth, South Yorkshire is updated every hour.

When was the worst air quality at Warmsworth, South Yorkshire in the last 24 hrs?

The worst air quality in Warmsworth, South Yorkshire in the last 24 hours was observed at 10:00:00 on 2026-06-28.

When was the best air quality at Warmsworth, South Yorkshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Warmsworth, South Yorkshire was observed at 09:00:00 on 2026-06-29.

What is the current air quality in Warmsworth, South Yorkshire?

The current air quality in Warmsworth, South Yorkshire is 28, categorized as Good based on real-time data.

What pollutant is the most common in Warmsworth, South Yorkshire?

The most common pollutant in Warmsworth, South Yorkshire is O3.

What should I do if the air quality in Warmsworth, South Yorkshire is poor?

If the air quality in Warmsworth, South Yorkshire is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Warmsworth, South Yorkshire?

The current PM_2.5 concentration at Warmsworth, South Yorkshire is 4.051 μg/m³.

What is the current concentration of PM₁₀ in Warmsworth, South Yorkshire?

The current PM₁₀ concentration at Warmsworth, South Yorkshire is 17.588 μg/m³.

What is the current concentration of carbon monoxide (CO) in Warmsworth, South Yorkshire?

The current carbon monoxide (CO) concentration at Warmsworth, South Yorkshire is 0.174 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Warmsworth, South Yorkshire?

The current sulfur dioxide (SO₂) concentration at Warmsworth, South Yorkshire is 0.522 ppb.

What is the current concentration of ozone (O₃) in Warmsworth, South Yorkshire?

The current ozone (O₃) concentration at Warmsworth, South Yorkshire is 30.409 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Warmsworth, South Yorkshire?

The current nitrogen dioxide (NO₂) concentration at Warmsworth, South Yorkshire is 6.104 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-06-27T19:00:00.000Z	37 \| good	5.026 \| good	19.559 \| good	40.456 \| good	0.435 \| good	5.216 \| good	0.187 \| good
2026-06-27T20:00:00.000Z	38 \| good	4.954 \| good	19.342 \| good	40.689 \| good	0.424 \| good	4.039 \| good	0.2 \| good
2026-06-27T21:00:00.000Z	37 \| good	4.273 \| good	16.864 \| good	40.399 \| good	0.429 \| good	5.146 \| good	0.217 \| good
2026-06-27T22:00:00.000Z	37 \| good	4.364 \| good	17.167 \| good	39.806 \| good	0.438 \| good	7.39 \| good	0.181 \| good
2026-06-27T23:00:00.000Z	31 \| good	4.302 \| good	17.105 \| good	34.317 \| good	0.437 \| good	6.016 \| good	0.17 \| good
2026-06-28T00:00:00.000Z	34 \| good	4.922 \| good	19.583 \| good	37.043 \| good	0.433 \| good	5.852 \| good	0.151 \| good
2026-06-28T01:00:00.000Z	32 \| good	4.922 \| good	19.583 \| good	34.73 \| good	0.5 \| good	5.207 \| good	0.144 \| good
2026-06-28T02:00:00.000Z	32 \| good	5.085 \| good	20.128 \| good	35.107 \| good	0.387 \| good	3.935 \| good	0.13 \| good
2026-06-28T03:00:00.000Z	31 \| good	5.146 \| good	20.128 \| good	33.249 \| good	0.438 \| good	2.613 \| good	0.127 \| good
2026-06-28T04:00:00.000Z	28 \| good	5.146 \| good	20.19 \| good	29.502 \| good	0.387 \| good	1.767 \| good	0.123 \| good
2026-06-28T05:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	27.69 \| good	0.431 \| good	1.528 \| good	0.13 \| good
2026-06-28T06:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	29.038 \| good	0.433 \| good	1.758 \| good	0.144 \| good
2026-06-28T07:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	26.315 \| good	0.434 \| good	1.52 \| good	0.146 \| good
2026-06-28T08:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	26.084 \| good	0.44 \| good	1.302 \| good	0.151 \| good
2026-06-28T09:00:00.000Z	27 \| good	5.146 \| good	20.19 \| good	25.534 \| good	0.452 \| good	1.596 \| good	0.139 \| good
2026-06-28T10:00:00.000Z	23 \| good	4.364 \| good	17.01 \| good	25.327 \| good	0.518 \| good	1.436 \| good	0.132 \| good
2026-06-28T11:00:00.000Z	25 \| good	4.393 \| good	17.484 \| good	26.543 \| good	0.44 \| good	2.191 \| good	0.13 \| good
2026-06-28T12:00:00.000Z	24 \| good	4.393 \| good	17.484 \| good	25.913 \| good	0.382 \| good	2.051 \| good	0.129 \| good
2026-06-28T13:00:00.000Z	24 \| good	4.393 \| good	17.328 \| good	26.125 \| good	0.44 \| good	1.988 \| good	0.13 \| good
2026-06-28T14:00:00.000Z	26 \| good	4.393 \| good	17.328 \| good	27.653 \| good	0.466 \| good	2.376 \| good	0.037 \| good
2026-06-28T15:00:00.000Z	27 \| good	4.237 \| good	17.256 \| good	28.591 \| good	0.44 \| good	1.993 \| good	0.036 \| good
2026-06-28T16:00:00.000Z	27 \| good	4.237 \| good	17.256 \| good	29.347 \| good	0.438 \| good	2.34 \| good	0.039 \| good
2026-06-28T17:00:00.000Z	27 \| good	4.328 \| good	17.62 \| good	29.487 \| good	0.448 \| good	1.835 \| good	0.04 \| good
2026-06-28T18:00:00.000Z	28 \| good	4.328 \| good	17.62 \| good	30.067 \| good	0.435 \| good	1.987 \| good	0.045 \| good
2026-06-28T19:00:00.000Z	29 \| good	4.328 \| good	17.525 \| good	31.2 \| good	0.393 \| good	1.814 \| good	0.046 \| good
2026-06-28T20:00:00.000Z	31 \| good	4.256 \| good	17.525 \| good	33.209 \| good	0.484 \| good	2.014 \| good	0.048 \| good
2026-06-28T21:00:00.000Z	31 \| good	3.546 \| good	13.373 \| good	34.28 \| good	0.48 \| good	1.804 \| good	0.051 \| good
2026-06-28T22:00:00.000Z	32 \| good	3.546 \| good	13.373 \| good	34.701 \| good	0.44 \| good	2.894 \| good	0.047 \| good
2026-06-28T23:00:00.000Z	31 \| good	3.546 \| good	13.373 \| good	34.137 \| good	0.382 \| good	6.202 \| good	0.046 \| good
2026-06-29T00:00:00.000Z	31 \| good	3.455 \| good	12.827 \| good	33.392 \| good	0.382 \| good	5.637 \| good	0.153 \| good
2026-06-29T01:00:00.000Z	30 \| good	3.455 \| good	12.827 \| good	31.692 \| good	0.43 \| good	7.894 \| good	0.148 \| good
2026-06-29T02:00:00.000Z	29 \| good	3.455 \| good	12.827 \| good	30.625 \| good	0.382 \| good	6.702 \| good	0.134 \| good
2026-06-29T03:00:00.000Z	27 \| good	3.364 \| good	12.464 \| good	28.774 \| good	0.39 \| good	4.202 \| good	0.132 \| good
2026-06-29T04:00:00.000Z	25 \| good	3.364 \| good	12.464 \| good	27.114 \| good	0.382 \| good	4.118 \| good	0.132 \| good
2026-06-29T05:00:00.000Z	23 \| good	3.364 \| good	12.464 \| good	25.099 \| good	0.44 \| good	5.583 \| good	0.136 \| good
2026-06-29T06:00:00.000Z	23 \| good	3.364 \| good	12.464 \| good	25.034 \| good	0.496 \| good	6.703 \| good	0.153 \| good
2026-06-29T07:00:00.000Z	23 \| good	3.364 \| good	12.464 \| good	24.529 \| good	0.423 \| good	6.837 \| good	0.172 \| good
2026-06-29T08:00:00.000Z	20 \| good	3.364 \| good	12.692 \| good	21.564 \| good	0.516 \| good	7.492 \| good	0.167 \| good
2026-06-29T09:00:00.000Z	19 \| good	3.425 \| good	12.753 \| good	21.236 \| good	0.465 \| good	5.749 \| good	0.153 \| good
2026-06-29T10:00:00.000Z	22 \| good	4.045 \| good	16.625 \| good	21.342 \| good	0.506 \| good	4.754 \| good	0.132 \| good
2026-06-29T11:00:00.000Z	22 \| good	4.045 \| good	16.625 \| good	22.855 \| good	0.506 \| good	3.244 \| good	0.123 \| good
2026-06-29T12:00:00.000Z	22 \| good	4.273 \| good	16.854 \| good	23.558 \| good	0.455 \| good	4.299 \| good	0.123 \| good
2026-06-29T13:00:00.000Z	22 \| good	4.273 \| good	16.854 \| good	24.193 \| good	0.467 \| good	3.606 \| good	0.122 \| good
2026-06-29T14:00:00.000Z	23 \| good	4.273 \| good	16.854 \| good	24.917 \| good	0.455 \| good	3.868 \| good	0.136 \| good
2026-06-29T15:00:00.000Z	26 \| good	4.182 \| good	16.562 \| good	27.979 \| good	0.466 \| good	6.593 \| good	0.139 \| good
2026-06-29T16:00:00.000Z	28 \| good	4.182 \| good	16.562 \| good	29.552 \| good	0.5 \| good	7.109 \| good	0.124 \| good
2026-06-29T17:00:00.000Z	29 \| good	4.182 \| good	16.562 \| good	31.342 \| good	0.491 \| good	6.131 \| good	0.173 \| good
2026-06-29T18:00:00.000Z	28 \| good	4.182 \| good	16.501 \| good	29.886 \| good	0.508 \| good	6.851 \| good	0.174 \| good
2026-06-29T18:00:00.000Z	28 \| good	4.051 \| good	17.588 \| good	30.409 \| good	0.522 \| good	6.104 \| good	0.174 \| good
2026-06-29T19:00:00.000Z	36 \| good	5.719 \| good	9.402 \| good	38.88 \| good	0.269 \| good	2.918 \| good	0.1 \| good
2026-06-29T20:00:00.000Z	33 \| good	5.884 \| good	10.266 \| good	35.672 \| good	0.346 \| good	3.83 \| good	0.103 \| good
2026-06-29T21:00:00.000Z	33 \| good	6.221 \| good	10.962 \| good	31.591 \| good	0.45 \| good	4.937 \| good	0.105 \| good
2026-06-29T22:00:00.000Z	38 \| good	6.585 \| good	10.172 \| good	28.42 \| good	0.461 \| good	4.878 \| good	0.105 \| good
2026-06-29T23:00:00.000Z	38 \| good	6.719 \| good	9.926 \| good	27.583 \| good	0.384 \| good	4.952 \| good	0.101 \| good
2026-06-30T00:00:00.000Z	38 \| good	6.919 \| good	9.837 \| good	25.573 \| good	0.322 \| good	4.69 \| good	0.1 \| good
2026-06-30T01:00:00.000Z	38 \| good	7.237 \| good	10.448 \| good	25.126 \| good	0.329 \| good	4.155 \| good	0.097 \| good
2026-06-30T02:00:00.000Z	44 \| good	7.799 \| good	10.445 \| good	23.988 \| good	0.347 \| good	3.932 \| good	0.096 \| good
2026-06-30T03:00:00.000Z	44 \| good	8.339 \| good	10.941 \| good	22.576 \| good	0.363 \| good	4.455 \| good	0.096 \| good
2026-06-30T04:00:00.000Z	49 \| good	8.651 \| good	11.242 \| good	22.013 \| good	0.404 \| good	5.322 \| good	0.098 \| good
2026-06-30T05:00:00.000Z	49 \| good	8.81 \| good	11.752 \| good	21.653 \| good	0.443 \| good	5.659 \| good	0.101 \| good
2026-06-30T06:00:00.000Z	44 \| good	8.033 \| good	11.522 \| good	19.482 \| good	0.45 \| good	6.066 \| good	0.105 \| good
2026-06-30T07:00:00.000Z	38 \| good	6.937 \| good	10.522 \| good	21.304 \| good	0.407 \| good	5.796 \| good	0.109 \| good
2026-06-30T08:00:00.000Z	33 \| good	5.794 \| good	9.535 \| good	25.946 \| good	0.293 \| good	3.961 \| good	0.103 \| good
2026-06-30T09:00:00.000Z	29 \| good	5.108 \| good	8.469 \| good	30.697 \| good	0.233 \| good	2.907 \| good	0.099 \| good
2026-06-30T10:00:00.000Z	32 \| good	5.207 \| good	7.532 \| good	34.997 \| good	0.213 \| good	2.21 \| good	0.098 \| good
2026-06-30T11:00:00.000Z	35 \| good	5.235 \| good	7.234 \| good	38.181 \| good	0.199 \| good	1.838 \| good	0.098 \| good
2026-06-30T12:00:00.000Z	38 \| good	5.063 \| good	7.364 \| good	40.958 \| good	0.186 \| good	1.582 \| good	0.094 \| good
2026-06-30T13:00:00.000Z	38 \| good	5.086 \| good	7.332 \| good	41.47 \| good	0.169 \| good	1.487 \| good	0.093 \| good
2026-06-30T14:00:00.000Z	38 \| good	4.944 \| good	7.074 \| good	41.095 \| good	0.154 \| good	1.439 \| good	0.092 \| good
2026-06-30T15:00:00.000Z	35 \| good	4.286 \| good	6.305 \| good	37.817 \| good	0.148 \| good	1.673 \| good	0.092 \| good
2026-06-30T16:00:00.000Z	33 \| good	3.451 \| good	5.876 \| good	35.882 \| good	0.153 \| good	2.178 \| good	0.095 \| good
2026-06-30T17:00:00.000Z	31 \| good	3.052 \| good	5.12 \| good	33.532 \| good	0.184 \| good	2.706 \| good	0.099 \| good
2026-06-30T18:00:00.000Z	30 \| good	2.688 \| good	3.713 \| good	31.879 \| good	0.22 \| good	2.976 \| good	0.099 \| good
2026-06-30T19:00:00.000Z	28 \| good	2.987 \| good	4.288 \| good	30.234 \| good	0.264 \| good	3.409 \| good	0.096 \| good
2026-06-30T20:00:00.000Z	25 \| good	3.2 \| good	4.833 \| good	27.209 \| good	0.346 \| good	4.376 \| good	0.097 \| good
2026-06-30T21:00:00.000Z	23 \| good	4.151 \| good	6.122 \| good	24.506 \| good	0.429 \| good	6.286 \| good	0.1 \| good
2026-06-30T22:00:00.000Z	27 \| good	4.937 \| good	7.578 \| good	20.844 \| good	0.477 \| good	6.501 \| good	0.102 \| good
2026-06-30T23:00:00.000Z	27 \| good	5.484 \| good	8.38 \| good	19.454 \| good	0.478 \| good	6.431 \| good	0.103 \| good
2026-07-01T00:00:00.000Z	33 \| good	5.702 \| good	8.798 \| good	18.487 \| good	0.461 \| good	6.642 \| good	0.102 \| good
2026-07-01T01:00:00.000Z	33 \| good	5.797 \| good	8.789 \| good	19.696 \| good	0.433 \| good	6.649 \| good	0.098 \| good
2026-07-01T02:00:00.000Z	33 \| good	5.732 \| good	8.242 \| good	21.22 \| good	0.382 \| good	5.35 \| good	0.093 \| good
2026-07-01T03:00:00.000Z	27 \| good	5.205 \| good	7.307 \| good	23.419 \| good	0.365 \| good	4.154 \| good	0.091 \| good
2026-07-01T04:00:00.000Z	27 \| good	4.535 \| good	6.779 \| good	25.234 \| good	0.344 \| good	3.643 \| good	0.089 \| good
2026-07-01T05:00:00.000Z	27 \| good	4.703 \| good	6.664 \| good	25.897 \| good	0.334 \| good	3.247 \| good	0.087 \| good
2026-07-01T06:00:00.000Z	27 \| good	4.736 \| good	6.342 \| good	25.728 \| good	0.312 \| good	2.819 \| good	0.091 \| good
2026-07-01T07:00:00.000Z	24 \| good	4.214 \| good	5.906 \| good	25.837 \| good	0.318 \| good	3.195 \| good	0.096 \| good
2026-07-01T08:00:00.000Z	24 \| good	3.434 \| good	5.552 \| good	26.497 \| good	0.32 \| good	3.145 \| good	0.096 \| good
2026-07-01T09:00:00.000Z	25 \| good	3.352 \| good	5.074 \| good	27.327 \| good	0.305 \| good	2.971 \| good	0.095 \| good
2026-07-01T10:00:00.000Z	28 \| good	3.153 \| good	4.52 \| good	29.676 \| good	0.27 \| good	2.36 \| good	0.094 \| good
2026-07-01T11:00:00.000Z	31 \| good	2.867 \| good	4.323 \| good	32.875 \| good	0.239 \| good	1.963 \| good	0.093 \| good
2026-07-01T12:00:00.000Z	32 \| good	2.921 \| good	4.145 \| good	35.176 \| good	0.214 \| good	1.713 \| good	0.093 \| good
2026-07-01T13:00:00.000Z	34 \| good	2.954 \| good	4.075 \| good	36.988 \| good	0.209 \| good	1.715 \| good	0.093 \| good
2026-07-01T14:00:00.000Z	34 \| good	2.842 \| good	4.105 \| good	37.029 \| good	0.209 \| good	1.566 \| good	0.092 \| good
2026-07-01T15:00:00.000Z	35 \| good	2.796 \| good	4.125 \| good	37.559 \| good	0.193 \| good	1.466 \| good	0.09 \| good
2026-07-01T16:00:00.000Z	34 \| good	2.776 \| good	4.111 \| good	36.635 \| good	0.194 \| good	1.538 \| good	0.089 \| good
2026-07-01T17:00:00.000Z	33 \| good	2.669 \| good	4.046 \| good	36.403 \| good	0.207 \| good	2.018 \| good	0.09 \| good
2026-07-01T18:00:00.000Z	31 \| good	2.683 \| good	3.994 \| good	33.788 \| good	0.218 \| good	2.413 \| good	0.091 \| good

Warmsworth, South Yorkshire live air quality index now

Major air pollutants in Warmsworth, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Warmsworth, South Yorkshire air quality forecast and history

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Warmsworth, South Yorkshire air quality map: Track AQI near you

Air quality in nearby cities

Conisbrough, South Yorkshire

Doncaster, South Yorkshire

Scawthorpe, South Yorkshire

Bentley, South Yorkshire

Mexborough, South Yorkshire

Adwick Le Street, South Yorkshire

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for Warmsworth, South Yorkshire updated?

When was the worst air quality at Warmsworth, South Yorkshire in the last 24 hrs?

When was the best air quality at Warmsworth, South Yorkshire in the last 24 hrs?

What is the current air quality in Warmsworth, South Yorkshire?

What pollutant is the most common in Warmsworth, South Yorkshire?

What should I do if the air quality in Warmsworth, South Yorkshire is poor?

What is the current concentration of PM2.5 in Warmsworth, South Yorkshire?

What is the current concentration of PM10 in Warmsworth, South Yorkshire?

What is the current concentration of carbon monoxide (CO) in Warmsworth, South Yorkshire?

What is the current concentration of sulfur dioxide (SO2) in Warmsworth, South Yorkshire?

What is the current concentration of ozone (O3) in Warmsworth, South Yorkshire?

What is the current concentration of nitrogen dioxide (NO2) in Warmsworth, South Yorkshire?

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 Warmsworth, South Yorkshire?

What is the current concentration of PM₁₀ in Warmsworth, South Yorkshire?

What is the current concentration of sulfur dioxide (SO₂) in Warmsworth, South Yorkshire?

What is the current concentration of ozone (O₃) in Warmsworth, South Yorkshire?

What is the current concentration of nitrogen dioxide (NO₂) in Warmsworth, South Yorkshire?