# United Kingdom AWE: Public Sector Excluding Finance Services Index: Seasonally Adjusted Regular Pay Excluding Arrears ()

United Kingdom AWE: Public Sector Excluding Finance Services Index: Seasonally Adjusted Regular Pay Excluding Arrears () was up 5.8% year on year in August 2026, compared with 6.4% in July 2026.
The level stood at 240.9 (index (2015=100)).
Over the past ten years it has ranged from 0.9% (Apr 2017) to 8.5% (Sep 2025), averaging 4.0%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.SA.MEASURE-INDEX.MEASURE-REGULAREXARR.SECTOR-PUBLIC-XFIN`
- Frequency: monthly
- Units: index (2015=100)
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-public-sector-excluding-finance-services-index-seasonally-adjusted-uk-awe-m-sa-measure-index-measure-regularexarr-sector-public-xfin

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 240.9 | 5.8 |
| July 2026 | 239.8 | 6.4 |
| June 2026 | 240.3 | 6.5 |
| May 2026 | 238.2 | 5.9 |
| April 2026 | 237.7 | 6.0 |
| March 2026 | 233.9 | 4.5 |
| February 2026 | 234.1 | 4.9 |
| January 2026 | 233.5 | 5.0 |
| December 2025 | 233.4 | 5.5 |
| November 2025 | 233.0 | 7.5 |
| October 2025 | 233.0 | 8.5 |
| September 2025 | 232.1 | 8.5 |
| August 2025 | 227.8 | 7.0 |
| July 2025 | 225.3 | 5.9 |
| June 2025 | 225.6 | 6.2 |
| May 2025 | 224.9 | 5.9 |
| April 2025 | 224.3 | 6.2 |
| March 2025 | 223.8 | 5.7 |
| February 2025 | 223.2 | 6.2 |
| January 2025 | 222.4 | 6.1 |
| December 2024 | 221.2 | 6.2 |
| November 2024 | 216.7 | 4.6 |
| October 2024 | 214.8 | 4.4 |
| September 2024 | 213.9 | 3.9 |

## API

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

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