# United Kingdom AWE: Accommodation & Food Services Level (£): Non Seasonally Adjusted Bonus ()

United Kingdom AWE: Accommodation & Food Services Level (£): Non Seasonally Adjusted Bonus () was down 14.3% year on year in August 2026, compared with 33.3% in July 2026.
The level stood at 6.00 £/week.
Over the past ten years it has ranged from −75.0% (Feb 2021) to 200.0% (Feb 2022), averaging 7.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.ITEM-K58D.MEASURE-TOTAL.NACE-I55T56`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-accommodation-and-food-services-level-non-seasonally-adjusted-bonus

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 6.00 £/week | −14.3 |
| July 2026 | 4.00 £/week | 33.3 |
| June 2026 | 5.00 £/week | −16.7 |
| May 2026 | 10.00 £/week | 42.9 |
| April 2026 | 4.00 £/week | 0.0 |
| March 2026 | 24.00 £/week | 4.3 |
| February 2026 | 10.00 £/week | 0.0 |
| January 2026 | 5.00 £/week | −16.7 |
| December 2025 | 14.00 £/week | 0.0 |
| November 2025 | 9.00 £/week | 12.5 |
| October 2025 | 5.00 £/week | 25.0 |
| September 2025 | 3.00 £/week | 0.0 |
| August 2025 | 7.00 £/week | 40.0 |
| July 2025 | 3.00 £/week | −40.0 |
| June 2025 | 6.00 £/week | −14.3 |
| May 2025 | 7.00 £/week | −30.0 |
| April 2025 | 4.00 £/week | −50.0 |
| March 2025 | 23.00 £/week | 4.5 |
| February 2025 | 10.00 £/week | 25.0 |
| January 2025 | 6.00 £/week | −14.3 |
| December 2024 | 14.00 £/week | 0.0 |
| November 2024 | 8.00 £/week | 0.0 |
| October 2024 | 4.00 £/week | −20.0 |
| September 2024 | 3.00 £/week | −25.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K58D.MEASURE-TOTAL.NACE-I55T56"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K58D.MEASURE-TOTAL.NACE-I55T56",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```