# United Kingdom LFS: In employment: Aged 18-24: In full-time education: : Male: 000s: SA ()

United Kingdom LFS: In employment: Aged 18-24: In full-time education: : Male: 000s: SA () was up 14.6% year on year in July 2026, compared with 9.4% in June 2026.
The level stood at 330.0 thousands.
Over the past ten years it has ranged from −20.1% (Jan 2021) to 40.6% (Dec 2021), averaging 1.7%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.SA.AGE-18-24.EDUC-IN-FTE.MEASURE-LEVEL.SEX-M`
- 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-aged-18-24-in-full-time-education-male-000s-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 330.0 thousands | 14.6 |
| June 2026 | 327.0 thousands | 9.4 |
| May 2026 | 325.0 thousands | 8.3 |
| April 2026 | 324.0 thousands | 9.5 |
| March 2026 | 320.0 thousands | 5.6 |
| February 2026 | 321.0 thousands | 2.6 |
| January 2026 | 323.0 thousands | 1.9 |
| December 2025 | 318.0 thousands | 2.9 |
| November 2025 | 329.0 thousands | 14.2 |
| October 2025 | 331.0 thousands | 18.6 |
| September 2025 | 315.0 thousands | 19.3 |
| August 2025 | 307.0 thousands | 14.6 |
| July 2025 | 288.0 thousands | 4.7 |
| June 2025 | 299.0 thousands | 10.3 |
| May 2025 | 300.0 thousands | 11.5 |
| April 2025 | 296.0 thousands | 3.9 |
| March 2025 | 303.0 thousands | 14.8 |
| February 2025 | 313.0 thousands | 19.5 |
| January 2025 | 317.0 thousands | 18.7 |
| December 2024 | 309.0 thousands | 12.8 |
| November 2024 | 288.0 thousands | 4.0 |
| October 2024 | 279.0 thousands | −0.7 |
| September 2024 | 264.0 thousands | −9.9 |
| August 2024 | 268.0 thousands | −11.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.M.SA.AGE-18-24.EDUC-IN-FTE.MEASURE-LEVEL.SEX-M"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.M.SA.AGE-18-24.EDUC-IN-FTE.MEASURE-LEVEL.SEX-M",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
