# United Kingdom LFS: Usual weekly hrs of work: In employment: 16 to 30 hrs: : Female: 000s: SA ()

United Kingdom LFS: Usual weekly hrs of work: In employment: 16 to 30 hrs: : Female: 000s: SA () was up 1.0% year on year in July 2026, compared with 0.9% in June 2026.
The level stood at 4,515.0 thousands.
Over the past ten years it has ranged from −5.7% (Apr 2021) to 4.7% (Jul 2024), averaging −0.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.HOURS.M.SA.ITEM-YCDU.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-16-to-30-hrs-female-000s-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 4,515.0 thousands | 1.0 |
| June 2026 | 4,500.0 thousands | 0.9 |
| May 2026 | 4,477.0 thousands | −0.07 |
| April 2026 | 4,463.0 thousands | −1.2 |
| March 2026 | 4,462.0 thousands | −1.2 |
| February 2026 | 4,493.0 thousands | −0.5 |
| January 2026 | 4,539.0 thousands | 1.6 |
| December 2025 | 4,512.0 thousands | 1.0 |
| November 2025 | 4,475.0 thousands | −0.5 |
| October 2025 | 4,540.0 thousands | 1.7 |
| September 2025 | 4,537.0 thousands | 0.9 |
| August 2025 | 4,499.0 thousands | −1.3 |
| July 2025 | 4,469.0 thousands | −2.6 |
| June 2025 | 4,458.0 thousands | −0.8 |
| May 2025 | 4,480.0 thousands | −0.6 |
| April 2025 | 4,515.0 thousands | 0.3 |
| March 2025 | 4,517.0 thousands | 0.5 |
| February 2025 | 4,514.0 thousands | 1.2 |
| January 2025 | 4,468.0 thousands | −0.4 |
| December 2024 | 4,466.0 thousands | 0.5 |
| November 2024 | 4,497.0 thousands | 0.2 |
| October 2024 | 4,463.0 thousands | 1.3 |
| September 2024 | 4,495.0 thousands | 2.6 |
| August 2024 | 4,559.0 thousands | 4.5 |

## API

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

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