# United Kingdom LFS: Usual weekly hrs of work: In employment: 31 to 45 hrs: : Female: 000s: SA ()

United Kingdom LFS: Usual weekly hrs of work: In employment: 31 to 45 hrs: : Female: 000s: SA () was up 0.9% year on year in July 2026, compared with 0.4% in June 2026.
The level stood at 9,047.0 thousands.
Over the past ten years it has ranged from 0.4% (Jun 2026) to 6.2% (Dec 2019), averaging 3.0%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.HOURS.M.SA.ITEM-YCDX.MEASURE-LEVEL.SEX-F`
- 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-in-employment-31-to-45-hrs-female-000s-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 9,047.0 thousands | 0.9 |
| June 2026 | 9,051.0 thousands | 0.4 |
| May 2026 | 9,089.0 thousands | 0.7 |
| April 2026 | 9,082.0 thousands | 0.7 |
| March 2026 | 9,027.0 thousands | 0.6 |
| February 2026 | 9,061.0 thousands | 2.2 |
| January 2026 | 9,049.0 thousands | 1.5 |
| December 2025 | 9,011.0 thousands | 1.3 |
| November 2025 | 9,041.0 thousands | 1.8 |
| October 2025 | 9,004.0 thousands | 1.8 |
| September 2025 | 8,994.0 thousands | 2.6 |
| August 2025 | 9,002.0 thousands | 2.7 |
| July 2025 | 8,967.0 thousands | 3.4 |
| June 2025 | 9,016.0 thousands | 3.3 |
| May 2025 | 9,023.0 thousands | 4.3 |
| April 2025 | 9,022.0 thousands | 4.1 |
| March 2025 | 8,970.0 thousands | 3.9 |
| February 2025 | 8,863.0 thousands | 2.6 |
| January 2025 | 8,913.0 thousands | 4.0 |
| December 2024 | 8,892.0 thousands | 3.8 |
| November 2024 | 8,880.0 thousands | 4.1 |
| October 2024 | 8,843.0 thousands | 3.6 |
| September 2024 | 8,768.0 thousands | 1.8 |
| August 2024 | 8,763.0 thousands | 1.6 |

## API

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

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