# United Kingdom LFS: In Employment: Education: : Men: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In Employment: Education: : Men: Aged 16 and over: Thousands: NSA () was up 0.3% year on year in Q2 2026, compared with 5.1% in Q1 2026.
The level stood at 1,107.0 thousands.
That is the lowest reading since Q1 2025.
Over the past ten years it has ranged from −7.8% (Q4 2016) to 15.1% (Q2 2024), averaging 1.6%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4FG.MEASURE-LEVEL.SEX-M`
- Frequency: quarterly
- Units: thousands
- Coverage: 1997-01-01 to 2026-04-01 (118 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-education-men-aged-16-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,107.0 thousands | 0.3 |
| Q1 2026 | 1,116.0 thousands | 5.1 |
| Q4 2025 | 1,089.0 thousands | 6.9 |
| Q3 2025 | 1,117.0 thousands | 2.8 |
| Q2 2025 | 1,104.0 thousands | 3.6 |
| Q1 2025 | 1,062.0 thousands | −1.7 |
| Q4 2024 | 1,019.0 thousands | −5.6 |
| Q3 2024 | 1,087.0 thousands | 12.8 |
| Q2 2024 | 1,066.0 thousands | 15.1 |
| Q1 2024 | 1,080.0 thousands | 11.0 |
| Q4 2023 | 1,080.0 thousands | 12.0 |
| Q3 2023 | 964.0 thousands | −4.4 |
| Q2 2023 | 926.0 thousands | −6.5 |
| Q1 2023 | 973.0 thousands | −0.1 |
| Q4 2022 | 964.0 thousands | −6.4 |
| Q3 2022 | 1,008.0 thousands | 2.1 |
| Q2 2022 | 990.0 thousands | 5.1 |
| Q1 2022 | 974.0 thousands | −0.5 |
| Q4 2021 | 1,030.0 thousands | 10.2 |
| Q3 2021 | 987.0 thousands | 6.2 |
| Q2 2021 | 942.0 thousands | 4.0 |
| Q1 2021 | 979.0 thousands | 4.6 |
| Q4 2020 | 935.0 thousands | −3.2 |
| Q3 2020 | 929.0 thousands | −4.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4FG.MEASURE-LEVEL.SEX-M"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4FG.MEASURE-LEVEL.SEX-M",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```