# United Kingdom AWE: Professional, Scientific & Tech Activities Index: Non Seasonally Adjusted Regular Pay Including Arrears ()

United Kingdom AWE: Professional, Scientific & Tech Activities Index: Non Seasonally Adjusted Regular Pay Including Arrears () was up 4.2% year on year in August 2026, compared with 4.5% in July 2026.
The level stood at 245.0 (index (2015=100)).
Over the past ten years it has ranged from −2.2% (Dec 2016) to 13.0% (Oct 2022), averaging 4.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.MEASURE-INDEX.MEASURE-REGULARINCARR.NACE-M69T75`
- 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-professional-scientific-and-tech-activities-index-non-seasonally-uk-awe-m-nsa-measure-index-measure-regularincarr-nace-m69t75

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 245.0 | 4.2 |
| July 2026 | 244.9 | 4.5 |
| June 2026 | 242.4 | 2.2 |
| May 2026 | 243.8 | 2.5 |
| April 2026 | 243.0 | 2.8 |
| March 2026 | 240.4 | 2.6 |
| February 2026 | 239.3 | 0.9 |
| January 2026 | 238.4 | 1.6 |
| December 2025 | 237.7 | 1.8 |
| November 2025 | 236.4 | 2.8 |
| October 2025 | 238.3 | 2.4 |
| September 2025 | 236.5 | 3.4 |
| August 2025 | 235.1 | 2.7 |
| July 2025 | 234.3 | 2.9 |
| June 2025 | 237.2 | 3.1 |
| May 2025 | 237.8 | 3.4 |
| April 2025 | 236.3 | 2.6 |
| March 2025 | 234.4 | 1.7 |
| February 2025 | 237.1 | 3.5 |
| January 2025 | 234.6 | 3.8 |
| December 2024 | 233.5 | 5.1 |
| November 2024 | 230.0 | 3.6 |
| October 2024 | 232.8 | 6.7 |
| September 2024 | 228.8 | 2.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-INDEX.MEASURE-REGULARINCARR.NACE-M69T75"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-INDEX.MEASURE-REGULARINCARR.NACE-M69T75",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```