# United Kingdom AWE: Construction Level (£): Non Seasonally Adjusted Total Pay Including Arrears ()

United Kingdom AWE: Construction Level (£): Non Seasonally Adjusted Total Pay Including Arrears () was up 0.9% year on year in August 2026, compared with 1.7% in July 2026.
The level stood at 797.0 £/week.
Over the past ten years it has ranged from −11.0% (Apr 2020) to 15.0% (May 2021), averaging 3.6%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.ITEM-K55L.MEASURE-TOTALINCARR.NACE-F`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-construction-level-non-seasonally-adjusted-total-pay-including

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 797.0 £/week | 0.9 |
| July 2026 | 830.0 £/week | 1.7 |
| June 2026 | 820.0 £/week | 0.7 |
| May 2026 | 803.0 £/week | 0.2 |
| April 2026 | 819.0 £/week | 1.6 |
| March 2026 | 823.0 £/week | −2.7 |
| February 2026 | 790.0 £/week | −1.9 |
| January 2026 | 782.0 £/week | −0.3 |
| December 2025 | 820.0 £/week | 1.1 |
| November 2025 | 807.0 £/week | 1.6 |
| October 2025 | 827.0 £/week | 3.8 |
| September 2025 | 820.0 £/week | 2.2 |
| August 2025 | 790.0 £/week | 3.8 |
| July 2025 | 816.0 £/week | 4.2 |
| June 2025 | 814.0 £/week | 4.9 |
| May 2025 | 801.0 £/week | 4.8 |
| April 2025 | 806.0 £/week | 5.6 |
| March 2025 | 846.0 £/week | 9.6 |
| February 2025 | 805.0 £/week | 8.1 |
| January 2025 | 784.0 £/week | 5.8 |
| December 2024 | 811.0 £/week | 4.8 |
| November 2024 | 794.0 £/week | 7.2 |
| October 2024 | 797.0 £/week | 8.0 |
| September 2024 | 802.0 £/week | 7.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K55L.MEASURE-TOTALINCARR.NACE-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K55L.MEASURE-TOTALINCARR.NACE-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```