# United Kingdom AWE: Textiles, Leather & Clothing Level (£): Non Seasonally Adjusted Bonus ()

United Kingdom AWE: Textiles, Leather & Clothing Level (£): Non Seasonally Adjusted Bonus () was down 14.3% year on year in August 2026, compared with 53.8% in July 2026.
The level stood at 6.00 £/week.
Over the past ten years it has ranged from −76.9% (Jun 2023) to 328.6% (Jul 2017), averaging 15.8%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.ITEM-K57K.MEASURE-TOTAL.NACE-C13T15`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-textiles-leather-and-clothing-level-non-seasonally-adjusted-bonus

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 6.00 £/week | −14.3 |
| July 2026 | 20.00 £/week | 53.8 |
| June 2026 | 13.00 £/week | −23.5 |
| May 2026 | 19.00 £/week | 5.6 |
| April 2026 | 19.00 £/week | −13.6 |
| March 2026 | 47.00 £/week | 4.4 |
| February 2026 | 13.00 £/week | −40.9 |
| January 2026 | 13.00 £/week | −13.3 |
| December 2025 | 44.00 £/week | 0.0 |
| November 2025 | 11.00 £/week | −21.4 |
| October 2025 | 8.00 £/week | −11.1 |
| September 2025 | 6.00 £/week | −25.0 |
| August 2025 | 7.00 £/week | −22.2 |
| July 2025 | 13.00 £/week | −31.6 |
| June 2025 | 17.00 £/week | 70.0 |
| May 2025 | 18.00 £/week | 5.9 |
| April 2025 | 22.00 £/week | 83.3 |
| March 2025 | 45.00 £/week | 73.1 |
| February 2025 | 22.00 £/week | 83.3 |
| January 2025 | 15.00 £/week | 7.1 |
| December 2024 | 44.00 £/week | 18.9 |
| November 2024 | 14.00 £/week | 27.3 |
| October 2024 | 9.00 £/week | 28.6 |
| September 2024 | 8.00 £/week | 60.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K57K.MEASURE-TOTAL.NACE-C13T15"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K57K.MEASURE-TOTAL.NACE-C13T15",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```