# United Kingdom LFS: Usual weekly hrs of work: Employees: 31 up to 45 hrs: : Male: 000s: SA ()

United Kingdom LFS: Usual weekly hrs of work: Employees: 31 up to 45 hrs: : Male: 000s: SA () was up 0.6% year on year in July 2026, compared with 0.2% in June 2026.
The level stood at 10,189 thousands.
Over the past ten years it has ranged from −1.6% (Aug 2019) to 5.8% (Jul 2020), averaging 2.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.HOURS.M.SA.GRP-EMPLOYEE.ITEM-YCEL.MEASURE-LEVEL.SEX-M`
- Frequency: monthly
- Units: thousands
- Coverage: 1992-04-01 to 2026-07-01 (412 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-usual-weekly-hrs-of-work-employees-31-up-to-45-hrs-male-000s-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 10,189 thousands | 0.6 |
| June 2026 | 10,139 thousands | 0.2 |
| May 2026 | 10,222 thousands | 0.8 |
| April 2026 | 10,284 thousands | 2.0 |
| March 2026 | 10,317 thousands | 2.7 |
| February 2026 | 10,290 thousands | 3.0 |
| January 2026 | 10,246 thousands | 2.3 |
| December 2025 | 10,214 thousands | 1.6 |
| November 2025 | 10,119 thousands | 1.0 |
| October 2025 | 10,115 thousands | 1.3 |
| September 2025 | 10,112 thousands | 1.9 |
| August 2025 | 10,092 thousands | 1.7 |
| July 2025 | 10,129 thousands | 2.1 |
| June 2025 | 10,116 thousands | 2.1 |
| May 2025 | 10,142 thousands | 3.3 |
| April 2025 | 10,078 thousands | 2.9 |
| March 2025 | 10,041 thousands | 2.4 |
| February 2025 | 9,995.0 thousands | 1.0 |
| January 2025 | 10,014 thousands | 1.6 |
| December 2024 | 10,049 thousands | 1.8 |
| November 2024 | 10,023 thousands | 1.2 |
| October 2024 | 9,981.0 thousands | 0.3 |
| September 2024 | 9,923.0 thousands | −0.2 |
| August 2024 | 9,921.0 thousands | 0.09 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.HOURS.M.SA.GRP-EMPLOYEE.ITEM-YCEL.MEASURE-LEVEL.SEX-M"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.HOURS.M.SA.GRP-EMPLOYEE.ITEM-YCEL.MEASURE-LEVEL.SEX-M",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```