# United Kingdom LFS: In Employment: : female: Aged 16-59: Thousands: NSA ()

United Kingdom LFS: In Employment: : female: Aged 16-59: Thousands: NSA () was up 0.7% year on year in July 2026, compared with 0.6% in June 2026.
The level stood at 16,059 thousands.
Over the past ten years it has ranged from −1.3% (Dec 2020) to 3.6% (Jun 2019), averaging 1.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.NSA.AGE-16-59.MEASURE-LEVEL`
- Frequency: monthly
- Units: thousands
- Coverage: 1984-04-01 to 2026-07-01 (420 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-female-aged-16-59-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 16,059 thousands | 0.7 |
| June 2026 | 16,005 thousands | 0.6 |
| May 2026 | 15,962 thousands | 0.6 |
| April 2026 | 15,919 thousands | 0.3 |
| March 2026 | 15,909 thousands | 0.3 |
| February 2026 | 15,930 thousands | 0.7 |
| January 2026 | 15,937 thousands | 1.2 |
| December 2025 | 15,963 thousands | 1.6 |
| November 2025 | 15,967 thousands | 1.4 |
| October 2025 | 16,001 thousands | 1.7 |
| September 2025 | 15,941 thousands | 1.3 |
| August 2025 | 15,948 thousands | 1.1 |
| July 2025 | 15,952 thousands | 1.0 |
| June 2025 | 15,904 thousands | 0.9 |
| May 2025 | 15,864 thousands | 1.4 |
| April 2025 | 15,865 thousands | 1.6 |
| March 2025 | 15,864 thousands | 1.5 |
| February 2025 | 15,815 thousands | 1.3 |
| January 2025 | 15,746 thousands | 1.0 |
| December 2024 | 15,717 thousands | 0.8 |
| November 2024 | 15,741 thousands | 0.6 |
| October 2024 | 15,727 thousands | 0.6 |
| September 2024 | 15,743 thousands | 0.9 |
| August 2024 | 15,782 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.M.NSA.AGE-16-59.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.M.NSA.AGE-16-59.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```