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

United Kingdom LFS: Usual weekly hrs of work: In employment: Over 45 hrs: : Female: 000s: SA () was up 3.9% year on year in July 2026, compared with 4.5% in June 2026.
The level stood at 1,473.0 thousands.
Over the past ten years it has ranged from −9.9% (Dec 2022) to 10.9% (Sep 2019), averaging −1.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.HOURS.M.SA.ITEM-YCEA.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-over-45-hrs-female-000s-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 1,473.0 thousands | 3.9 |
| June 2026 | 1,462.0 thousands | 4.5 |
| May 2026 | 1,435.0 thousands | 4.6 |
| April 2026 | 1,425.0 thousands | 3.9 |
| March 2026 | 1,433.0 thousands | 4.4 |
| February 2026 | 1,412.0 thousands | −1.3 |
| January 2026 | 1,397.0 thousands | −1.2 |
| December 2025 | 1,411.0 thousands | −0.5 |
| November 2025 | 1,437.0 thousands | 3.2 |
| October 2025 | 1,437.0 thousands | 1.1 |
| September 2025 | 1,423.0 thousands | −2.3 |
| August 2025 | 1,426.0 thousands | −1.7 |
| July 2025 | 1,418.0 thousands | −3.1 |
| June 2025 | 1,399.0 thousands | −6.0 |
| May 2025 | 1,372.0 thousands | −8.8 |
| April 2025 | 1,371.0 thousands | −8.3 |
| March 2025 | 1,372.0 thousands | −8.6 |
| February 2025 | 1,431.0 thousands | −5.2 |
| January 2025 | 1,414.0 thousands | −6.8 |
| December 2024 | 1,418.0 thousands | −5.7 |
| November 2024 | 1,393.0 thousands | −7.1 |
| October 2024 | 1,421.0 thousands | −6.8 |
| September 2024 | 1,457.0 thousands | −0.7 |
| August 2024 | 1,450.0 thousands | −1.4 |

## API

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

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