# United Kingdom LFS: In employment: Aged 16-24: : Female: Thousands: NSA ()

United Kingdom LFS: In employment: Aged 16-24: : Female: Thousands: NSA () was down 3.4% year on year in July 2026, compared with −1.8% in June 2026.
The level stood at 1,887.0 thousands.
That is the lowest reading since December 2024.
Over the past ten years it has ranged from −8.8% (Dec 2020) to 8.3% (Mar 2022), averaging −0.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.NSA.AGE-16-24.MEASURE-LEVEL.SEX-F`
- 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-aged-16-24-female-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 1,887.0 thousands | −3.4 |
| June 2026 | 1,854.0 thousands | −1.8 |
| May 2026 | 1,830.0 thousands | −1.8 |
| April 2026 | 1,817.0 thousands | −0.5 |
| March 2026 | 1,828.0 thousands | 0.0 |
| February 2026 | 1,855.0 thousands | 1.7 |
| January 2026 | 1,877.0 thousands | 2.3 |
| December 2025 | 1,927.0 thousands | 5.1 |
| November 2025 | 1,929.0 thousands | 5.3 |
| October 2025 | 1,930.0 thousands | 5.6 |
| September 2025 | 1,935.0 thousands | 4.8 |
| August 2025 | 1,953.0 thousands | 4.0 |
| July 2025 | 1,953.0 thousands | 3.3 |
| June 2025 | 1,888.0 thousands | 2.3 |
| May 2025 | 1,864.0 thousands | 2.0 |
| April 2025 | 1,827.0 thousands | −1.7 |
| March 2025 | 1,828.0 thousands | −1.9 |
| February 2025 | 1,824.0 thousands | −1.0 |
| January 2025 | 1,834.0 thousands | −0.7 |
| December 2024 | 1,833.0 thousands | −3.7 |
| November 2024 | 1,832.0 thousands | −2.8 |
| October 2024 | 1,827.0 thousands | −2.1 |
| September 2024 | 1,847.0 thousands | −1.3 |
| August 2024 | 1,877.0 thousands | 2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.M.NSA.AGE-16-24.MEASURE-LEVEL.SEX-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.M.NSA.AGE-16-24.MEASURE-LEVEL.SEX-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```