# United Kingdom LFS: Employees: : Female: Thousands: SA: ()

United Kingdom LFS: Employees: : Female: Thousands: SA: () was up 0.6% year on year in July 2026, compared with 0.1% in June 2026.
The level stood at 15,051 thousands.
Over the past ten years it has ranged from −0.4% (Jun 2020) to 3.7% (May 2019), averaging 1.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.SA.GRP-EMPLOYEE.ITEM-MGRP.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-employees-female-thousands-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 15,051 thousands | 0.6 |
| June 2026 | 14,933 thousands | 0.1 |
| May 2026 | 14,928 thousands | −0.08 |
| April 2026 | 14,892 thousands | 0.1 |
| March 2026 | 14,828 thousands | −0.2 |
| February 2026 | 14,862 thousands | 0.2 |
| January 2026 | 14,908 thousands | 0.5 |
| December 2025 | 14,968 thousands | 1.2 |
| November 2025 | 14,970 thousands | 1.4 |
| October 2025 | 15,008 thousands | 2.2 |
| September 2025 | 15,002 thousands | 2.0 |
| August 2025 | 14,986 thousands | 1.4 |
| July 2025 | 14,961 thousands | 1.2 |
| June 2025 | 14,914 thousands | 1.3 |
| May 2025 | 14,940 thousands | 1.7 |
| April 2025 | 14,877 thousands | 1.6 |
| March 2025 | 14,854 thousands | 1.8 |
| February 2025 | 14,839 thousands | 2.0 |
| January 2025 | 14,840 thousands | 2.0 |
| December 2024 | 14,794 thousands | 1.8 |
| November 2024 | 14,762 thousands | 1.7 |
| October 2024 | 14,682 thousands | 0.8 |
| September 2024 | 14,712 thousands | 0.8 |
| August 2024 | 14,773 thousands | 1.7 |

## API

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

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