# United Kingdom LFS: In employment: Full-time: : Women: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In employment: Full-time: : Women: Aged 16 and over: Thousands: NSA () was up 1.6% year on year in July 2026, compared with 0.6% in June 2026.
The level stood at 10,668 thousands.
That is the highest reading since May 2025.
Over the past ten years it has ranged from −1.1% (May 2023) to 6.1% (Mar 2021), averaging 2.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.NSA.ITEM-I46H.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-in-employment-full-time-women-aged-16-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 10,668 thousands | 1.6 |
| June 2026 | 10,586 thousands | 0.6 |
| May 2026 | 10,552 thousands | 0.6 |
| April 2026 | 10,471 thousands | −0.03 |
| March 2026 | 10,480 thousands | −0.06 |
| February 2026 | 10,496 thousands | 0.7 |
| January 2026 | 10,474 thousands | 0.3 |
| December 2025 | 10,421 thousands | 0.1 |
| November 2025 | 10,489 thousands | 0.5 |
| October 2025 | 10,513 thousands | 0.6 |
| September 2025 | 10,522 thousands | 1.1 |
| August 2025 | 10,512 thousands | 1.0 |
| July 2025 | 10,497 thousands | 1.4 |
| June 2025 | 10,526 thousands | 1.6 |
| May 2025 | 10,485 thousands | 2.7 |
| April 2025 | 10,474 thousands | 2.5 |
| March 2025 | 10,486 thousands | 2.5 |
| February 2025 | 10,426 thousands | 1.8 |
| January 2025 | 10,439 thousands | 2.4 |
| December 2024 | 10,409 thousands | 2.4 |
| November 2024 | 10,438 thousands | 2.8 |
| October 2024 | 10,453 thousands | 3.5 |
| September 2024 | 10,404 thousands | 3.5 |
| August 2024 | 10,408 thousands | 3.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.M.NSA.ITEM-I46H.MEASURE-LEVEL.SEX-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.M.NSA.ITEM-I46H.MEASURE-LEVEL.SEX-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```