# United Kingdom LFS: In Employment: : All: Aged 16-24: Thousands: SA ()

United Kingdom LFS: In Employment: : All: Aged 16-24: Thousands: SA () was up 0.3% year on year in July 2026, compared with −0.9% in June 2026.
The level stood at 3,882.0 thousands.
Over the past ten years it has ranged from −10.5% (Jan 2021) to 9.6% (Mar 2022), averaging −0.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.SA.AGE-16-24.MEASURE-LEVEL`
- 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-all-aged-16-24-thousands-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 3,882.0 thousands | 0.3 |
| June 2026 | 3,823.0 thousands | −0.9 |
| May 2026 | 3,818.0 thousands | −0.9 |
| April 2026 | 3,799.0 thousands | −0.08 |
| March 2026 | 3,786.0 thousands | 0.5 |
| February 2026 | 3,775.0 thousands | −0.2 |
| January 2026 | 3,797.0 thousands | −0.03 |
| December 2025 | 3,836.0 thousands | 2.6 |
| November 2025 | 3,828.0 thousands | 3.3 |
| October 2025 | 3,851.0 thousands | 4.1 |
| September 2025 | 3,855.0 thousands | 3.1 |
| August 2025 | 3,886.0 thousands | 5.1 |
| July 2025 | 3,871.0 thousands | 3.8 |
| June 2025 | 3,859.0 thousands | 4.4 |
| May 2025 | 3,854.0 thousands | 4.0 |
| April 2025 | 3,802.0 thousands | 2.0 |
| March 2025 | 3,767.0 thousands | 1.2 |
| February 2025 | 3,782.0 thousands | 2.2 |
| January 2025 | 3,798.0 thousands | 3.3 |
| December 2024 | 3,737.0 thousands | 0.5 |
| November 2024 | 3,707.0 thousands | −0.8 |
| October 2024 | 3,698.0 thousands | −1.1 |
| September 2024 | 3,738.0 thousands | −0.1 |
| August 2024 | 3,698.0 thousands | −0.4 |

## API

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

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