# United Kingdom AWE: Construction Level (£): Non Seasonally Adjusted Bonus ()

United Kingdom AWE: Construction Level (£): Non Seasonally Adjusted Bonus () was down 38.1% year on year in August 2026, compared with 4.3% in July 2026.
The level stood at 13.00 £/week.
That is the lowest reading since August 2023.
Over the past ten years it has ranged from −55.9% (Apr 2020) to 168.8% (Oct 2016), averaging 10.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.ITEM-K55M.MEASURE-TOTAL.NACE-F`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-construction-level-non-seasonally-adjusted-bonus

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 13.00 £/week | −38.1 |
| July 2026 | 49.00 £/week | 4.3 |
| June 2026 | 51.00 £/week | 13.3 |
| May 2026 | 37.00 £/week | 12.1 |
| April 2026 | 54.00 £/week | 31.7 |
| March 2026 | 69.00 £/week | −17.9 |
| February 2026 | 36.00 £/week | −20.0 |
| January 2026 | 28.00 £/week | −6.7 |
| December 2025 | 62.00 £/week | −11.4 |
| November 2025 | 40.00 £/week | −7.0 |
| October 2025 | 55.00 £/week | 37.5 |
| September 2025 | 49.00 £/week | −9.3 |
| August 2025 | 21.00 £/week | −4.5 |
| July 2025 | 47.00 £/week | 23.7 |
| June 2025 | 45.00 £/week | 21.6 |
| May 2025 | 33.00 £/week | 37.5 |
| April 2025 | 41.00 £/week | 17.1 |
| March 2025 | 84.00 £/week | 58.5 |
| February 2025 | 45.00 £/week | 45.2 |
| January 2025 | 30.00 £/week | −14.3 |
| December 2024 | 70.00 £/week | −2.8 |
| November 2024 | 43.00 £/week | 30.3 |
| October 2024 | 40.00 £/week | 29.0 |
| September 2024 | 54.00 £/week | 54.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K55M.MEASURE-TOTAL.NACE-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K55M.MEASURE-TOTAL.NACE-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```