# United Kingdom LFS: In Employment: : Female: Aged 16-64: Thousands: SA ()

United Kingdom LFS: In Employment: : Female: Aged 16-64: Thousands: SA () was up 0.6% year on year in July 2026, compared with 0.6% in June 2026.
The level stood at 16,019 thousands.
Over the past ten years it has ranged from −1.3% (Dec 2020) to 2.1% (May 2019), averaging 1.0%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.SA.AGE-16-64.MEASURE-LEVEL.SEX-F`
- Frequency: monthly
- Units: thousands
- Coverage: 1971-02-01 to 2026-07-01 (666 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-female-aged-16-64-thousands-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 16,019 thousands | 0.6 |
| June 2026 | 15,978 thousands | 0.6 |
| May 2026 | 15,988 thousands | 0.6 |
| April 2026 | 15,950 thousands | 0.3 |
| March 2026 | 15,912 thousands | 0.3 |
| February 2026 | 15,936 thousands | 0.7 |
| January 2026 | 15,956 thousands | 1.2 |
| December 2025 | 15,965 thousands | 1.6 |
| November 2025 | 15,950 thousands | 1.4 |
| October 2025 | 15,979 thousands | 1.7 |
| September 2025 | 15,931 thousands | 1.2 |
| August 2025 | 15,959 thousands | 1.0 |
| July 2025 | 15,922 thousands | 1.0 |
| June 2025 | 15,879 thousands | 0.9 |
| May 2025 | 15,895 thousands | 1.4 |
| April 2025 | 15,896 thousands | 1.6 |
| March 2025 | 15,860 thousands | 1.6 |
| February 2025 | 15,819 thousands | 1.4 |
| January 2025 | 15,763 thousands | 1.0 |
| December 2024 | 15,721 thousands | 0.8 |
| November 2024 | 15,724 thousands | 0.6 |
| October 2024 | 15,708 thousands | 0.6 |
| September 2024 | 15,735 thousands | 0.8 |
| August 2024 | 15,795 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.M.SA.AGE-16-64.MEASURE-LEVEL.SEX-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.M.SA.AGE-16-64.MEASURE-LEVEL.SEX-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```