# United Kingdom AWE: Public Sector Excluding Financial Services Level (£): Non Seasonally Adjusted Bonus ()

United Kingdom AWE: Public Sector Excluding Financial Services Level (£): Non Seasonally Adjusted Bonus () was down 57.1% year on year in August 2026, compared with 150.0% in July 2026.
The level stood at 3.00 £/week.
Over the past ten years it has ranged from −100.0% (Jan 2017) to 3,900.0% (Jun 2023), averaging 50.4%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.MEASURE-TOTAL.SECTOR-PUBLIC-XFIN`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-public-sector-excluding-financial-services-level-non-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 3.00 £/week | −57.1 |
| July 2026 | 10.00 £/week | 150.0 |
| June 2026 | 6.00 £/week | 20.0 |
| May 2026 | 1.00 £/week | 0.0 |
| April 2026 | 1.00 £/week | 0.0 |
| March 2026 | 2.00 £/week | 100.0 |
| February 2026 | 1.00 £/week | 0.0 |
| January 2026 | 1.00 £/week | — |
| December 2025 | 2.00 £/week | 0.0 |
| November 2025 | 1.00 £/week | −50.0 |
| October 2025 | 1.00 £/week | −75.0 |
| September 2025 | 1.00 £/week | 0.0 |
| August 2025 | 7.00 £/week | 250.0 |
| July 2025 | 4.00 £/week | −20.0 |
| June 2025 | 5.00 £/week | 25.0 |
| May 2025 | 1.00 £/week | −50.0 |
| April 2025 | 1.00 £/week | 0.0 |
| March 2025 | 1.00 £/week | 0.0 |
| February 2025 | 1.00 £/week | 0.0 |
| January 2025 | 0.00 £/week | −100.0 |
| December 2024 | 2.00 £/week | 100.0 |
| November 2024 | 2.00 £/week | 0.0 |
| October 2024 | 4.00 £/week | 300.0 |
| September 2024 | 1.00 £/week | −66.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-TOTAL.SECTOR-PUBLIC-XFIN"

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