# United Kingdom AWE: Chemicals & Man-made Fibres Level (£): Non Seasonally Adjusted Bonus ()

United Kingdom AWE: Chemicals & Man-made Fibres Level (£): Non Seasonally Adjusted Bonus () was up 0.0% year on year in August 2026, compared with −28.6% in July 2026.
The level stood at 51.00 £/week.
Over the past ten years it has ranged from −77.8% (Oct 2018) to 513.3% (Oct 2022), averaging 23.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.ITEM-K57N.MEASURE-TOTAL.NACE-C19T21`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-chemicals-and-man-made-fibres-level-non-seasonally-adjusted-bonus

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 51.00 £/week | 0.0 |
| July 2026 | 55.00 £/week | −28.6 |
| June 2026 | 42.00 £/week | −23.6 |
| May 2026 | 42.00 £/week | 75.0 |
| April 2026 | 311.0 £/week | 309.2 |
| March 2026 | 572.0 £/week | 11.9 |
| February 2026 | 79.00 £/week | −16.0 |
| January 2026 | 18.00 £/week | −14.3 |
| December 2025 | 63.00 £/week | 40.0 |
| November 2025 | 31.00 £/week | 40.9 |
| October 2025 | 15.00 £/week | 7.1 |
| September 2025 | 41.00 £/week | 17.1 |
| August 2025 | 51.00 £/week | 88.9 |
| July 2025 | 77.00 £/week | 5.5 |
| June 2025 | 55.00 £/week | 48.6 |
| May 2025 | 24.00 £/week | 0.0 |
| April 2025 | 76.00 £/week | −33.9 |
| March 2025 | 511.0 £/week | 7.8 |
| February 2025 | 94.00 £/week | 193.8 |
| January 2025 | 21.00 £/week | −27.6 |
| December 2024 | 45.00 £/week | −19.6 |
| November 2024 | 22.00 £/week | 4.8 |
| October 2024 | 14.00 £/week | −74.1 |
| September 2024 | 35.00 £/week | 34.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K57N.MEASURE-TOTAL.NACE-C19T21"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K57N.MEASURE-TOTAL.NACE-C19T21",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```