# United Kingdom AWE: Administrative & Support Service Level (£): Non Seasonally Adjusted Total Pay ()

United Kingdom AWE: Administrative & Support Service Level (£): Non Seasonally Adjusted Total Pay () was up 2.2% year on year in August 2026, compared with 2.5% in July 2026.
The level stood at 643.0 £/week.
Over the past ten years it has ranged from −4.3% (Jun 2020) to 14.5% (Jun 2021), averaging 5.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.ITEM-K5EF.MEASURE-TOTAL.NACE-N77T82`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-administrative-and-support-service-level-non-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 643.0 £/week | 2.2 |
| July 2026 | 650.0 £/week | 2.5 |
| June 2026 | 646.0 £/week | 5.0 |
| May 2026 | 639.0 £/week | 4.2 |
| April 2026 | 656.0 £/week | 3.3 |
| March 2026 | 699.0 £/week | 1.0 |
| February 2026 | 656.0 £/week | 5.1 |
| January 2026 | 635.0 £/week | 3.3 |
| December 2025 | 629.0 £/week | −0.5 |
| November 2025 | 620.0 £/week | 2.6 |
| October 2025 | 640.0 £/week | 2.4 |
| September 2025 | 619.0 £/week | 1.5 |
| August 2025 | 629.0 £/week | 4.0 |
| July 2025 | 634.0 £/week | 3.1 |
| June 2025 | 615.0 £/week | −2.5 |
| May 2025 | 613.0 £/week | 1.7 |
| April 2025 | 635.0 £/week | 3.3 |
| March 2025 | 692.0 £/week | 5.8 |
| February 2025 | 624.0 £/week | −1.6 |
| January 2025 | 615.0 £/week | 5.5 |
| December 2024 | 632.0 £/week | 7.5 |
| November 2024 | 604.0 £/week | 5.6 |
| October 2024 | 625.0 £/week | 9.5 |
| September 2024 | 610.0 £/week | 5.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K5EF.MEASURE-TOTAL.NACE-N77T82"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K5EF.MEASURE-TOTAL.NACE-N77T82",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```