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

United Kingdom AWE: Real Estate Activities Level (£): Non Seasonally Adjusted Total Pay Including Arrears () was up 7.5% year on year in August 2026, compared with 8.2% in July 2026.
The level stood at 747.0 £/week.
Over the past ten years it has ranged from −9.7% (Feb 2023) to 30.4% (Mar 2022), averaging 3.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.MEASURE-TOTALINCARR.NACE-L68`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-real-estate-activities-level-non-seasonally-adjusted-total-pay

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 747.0 £/week | 7.5 |
| July 2026 | 782.0 £/week | 8.2 |
| June 2026 | 769.0 £/week | 8.3 |
| May 2026 | 725.0 £/week | 6.5 |
| April 2026 | 734.0 £/week | 6.4 |
| March 2026 | 895.0 £/week | 6.2 |
| February 2026 | 722.0 £/week | 10.1 |
| January 2026 | 718.0 £/week | 9.0 |
| December 2025 | 717.0 £/week | 5.1 |
| November 2025 | 688.0 £/week | 0.0 |
| October 2025 | 686.0 £/week | 1.2 |
| September 2025 | 693.0 £/week | 2.5 |
| August 2025 | 695.0 £/week | 2.4 |
| July 2025 | 723.0 £/week | 3.0 |
| June 2025 | 710.0 £/week | 2.5 |
| May 2025 | 681.0 £/week | 3.3 |
| April 2025 | 690.0 £/week | 4.2 |
| March 2025 | 843.0 £/week | 2.6 |
| February 2025 | 656.0 £/week | 2.5 |
| January 2025 | 659.0 £/week | 2.6 |
| December 2024 | 682.0 £/week | −2.4 |
| November 2024 | 688.0 £/week | 4.2 |
| October 2024 | 678.0 £/week | 4.3 |
| September 2024 | 676.0 £/week | 2.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-TOTALINCARR.NACE-L68"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-TOTALINCARR.NACE-L68",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```