# United Kingdom AWE: Health & Social Work Level (£): Non Seasonally Adjusted Total Pay Including Arrears ()

United Kingdom AWE: Health & Social Work Level (£): Non Seasonally Adjusted Total Pay Including Arrears () was up 0.2% year on year in August 2026, compared with 7.0% in July 2026.
The level stood at 650.0 £/week.
Over the past ten years it has ranged from −14.1% (Jun 2024) to 31.6% (Jun 2023), averaging 4.6%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.MEASURE-TOTALINCARR.NACE-Q86T88`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-health-and-social-work-level-non-seasonally-adjusted-total-pay

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 650.0 £/week | 0.2 |
| July 2026 | 653.0 £/week | 7.0 |
| June 2026 | 659.0 £/week | 8.6 |
| May 2026 | 650.0 £/week | 6.9 |
| April 2026 | 645.0 £/week | 6.4 |
| March 2026 | 627.0 £/week | 5.2 |
| February 2026 | 631.0 £/week | 5.9 |
| January 2026 | 633.0 £/week | 5.5 |
| December 2025 | 630.0 £/week | 5.2 |
| November 2025 | 624.0 £/week | 0.2 |
| October 2025 | 623.0 £/week | −4.6 |
| September 2025 | 626.0 £/week | 8.9 |
| August 2025 | 649.0 £/week | 13.5 |
| July 2025 | 610.0 £/week | 6.5 |
| June 2025 | 607.0 £/week | 6.1 |
| May 2025 | 608.0 £/week | 5.9 |
| April 2025 | 606.0 £/week | 6.1 |
| March 2025 | 596.0 £/week | 5.7 |
| February 2025 | 596.0 £/week | 6.8 |
| January 2025 | 600.0 £/week | 7.1 |
| December 2024 | 599.0 £/week | 6.8 |
| November 2024 | 623.0 £/week | 11.6 |
| October 2024 | 653.0 £/week | 18.3 |
| September 2024 | 575.0 £/week | 2.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-TOTALINCARR.NACE-Q86T88"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-TOTALINCARR.NACE-Q86T88",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```