# United Kingdom LFS: Econ. inactive: Aged 16-24: In full-time education: : Female: 000s: SA ()

United Kingdom LFS: Econ. inactive: Aged 16-24: In full-time education: : Female: 000s: SA () was 1,065.0 thousands in July 2026, down 0.09% from June 2026 and up 3.8% from a year earlier.
Over the past ten years it has ranged from 939.0 thousands (Apr 2020) to 1,142.0 thousands (Nov 2023), averaging 1,033.9 thousands.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INACTIVE.M.SA.AGE-16-24.EDUC-IN-FTE.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-econ-inactive-aged-16-24-in-full-time-education-female-000s-sa

## Recent data

| Period | Value |
|---|---:|
| July 2026 | 1,065.0 thousands |
| June 2026 | 1,066.0 thousands |
| May 2026 | 1,082.0 thousands |
| April 2026 | 1,070.0 thousands |
| March 2026 | 1,069.0 thousands |
| February 2026 | 1,047.0 thousands |
| January 2026 | 1,048.0 thousands |
| December 2025 | 1,027.0 thousands |
| November 2025 | 1,042.0 thousands |
| October 2025 | 1,029.0 thousands |
| September 2025 | 1,026.0 thousands |
| August 2025 | 1,010.0 thousands |
| July 2025 | 1,026.0 thousands |
| June 2025 | 1,062.0 thousands |
| May 2025 | 1,049.0 thousands |
| April 2025 | 1,091.0 thousands |
| March 2025 | 1,101.0 thousands |
| February 2025 | 1,098.0 thousands |
| January 2025 | 1,078.0 thousands |
| December 2024 | 1,063.0 thousands |
| November 2024 | 1,082.0 thousands |
| October 2024 | 1,088.0 thousands |
| September 2024 | 1,087.0 thousands |
| August 2024 | 1,067.0 thousands |

## API

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

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