# United Kingdom LFS: Employees: Cat U ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA ()

United Kingdom LFS: Employees: Cat U ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA () was down 6.8% year on year in Q2 2026, compared with −31.0% in Q1 2026.
The level stood at 41.00 thousands.
Over the past ten years it has ranged from −41.3% (Q4 2022) to 90.5% (Q2 2016), averaging 8.6%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.GRP-EMPLOYEE.MEASURE-LEVEL.NACE-C-U.SEX-M`
- Frequency: quarterly
- Units: thousands
- Coverage: 2001-01-01 to 2026-04-01 (102 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-employees-cat-u-isic-rev-4-men-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 41.00 thousands | −6.8 |
| Q1 2026 | 40.00 thousands | −31.0 |
| Q4 2025 | 45.00 thousands | 4.7 |
| Q3 2025 | 38.00 thousands | −5.0 |
| Q2 2025 | 44.00 thousands | 2.3 |
| Q1 2025 | 58.00 thousands | 13.7 |
| Q4 2024 | 43.00 thousands | 2.4 |
| Q3 2024 | 40.00 thousands | 29.0 |
| Q2 2024 | 43.00 thousands | 13.2 |
| Q1 2024 | 51.00 thousands | 45.7 |
| Q4 2023 | 42.00 thousands | 55.6 |
| Q3 2023 | 31.00 thousands | −3.1 |
| Q2 2023 | 38.00 thousands | 11.8 |
| Q1 2023 | 35.00 thousands | −30.0 |
| Q4 2022 | 27.00 thousands | −41.3 |
| Q3 2022 | 32.00 thousands | −33.3 |
| Q2 2022 | 34.00 thousands | −35.8 |
| Q1 2022 | 50.00 thousands | 19.0 |
| Q4 2021 | 46.00 thousands | 31.4 |
| Q3 2021 | 48.00 thousands | 65.5 |
| Q2 2021 | 53.00 thousands | 43.2 |
| Q1 2021 | 42.00 thousands | 31.2 |
| Q4 2020 | 35.00 thousands | −5.4 |
| Q3 2020 | 29.00 thousands | −23.7 |

## API

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

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