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

United Kingdom LFS: Employees: Cat S ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA () was down 11.0% year on year in Q2 2026, compared with −12.6% in Q1 2026.
The level stood at 251.0 thousands.
Over the past ten years it has ranged from −14.6% (Q2 2018) to 18.7% (Q2 2017), averaging 1.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.GRP-EMPLOYEE.MEASURE-LEVEL.NACE-C-S.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-s-isic-rev-4-men-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 251.0 thousands | −11.0 |
| Q1 2026 | 236.0 thousands | −12.6 |
| Q4 2025 | 241.0 thousands | −10.4 |
| Q3 2025 | 256.0 thousands | −3.4 |
| Q2 2025 | 282.0 thousands | 15.6 |
| Q1 2025 | 270.0 thousands | 16.4 |
| Q4 2024 | 269.0 thousands | 4.7 |
| Q3 2024 | 265.0 thousands | 8.2 |
| Q2 2024 | 244.0 thousands | −2.0 |
| Q1 2024 | 232.0 thousands | 0.0 |
| Q4 2023 | 257.0 thousands | 1.2 |
| Q3 2023 | 245.0 thousands | 7.9 |
| Q2 2023 | 249.0 thousands | 1.2 |
| Q1 2023 | 232.0 thousands | −6.1 |
| Q4 2022 | 254.0 thousands | 4.5 |
| Q3 2022 | 227.0 thousands | −5.0 |
| Q2 2022 | 246.0 thousands | 2.1 |
| Q1 2022 | 247.0 thousands | 6.0 |
| Q4 2021 | 243.0 thousands | 1.2 |
| Q3 2021 | 239.0 thousands | 6.2 |
| Q2 2021 | 241.0 thousands | 2.6 |
| Q1 2021 | 233.0 thousands | −10.0 |
| Q4 2020 | 240.0 thousands | −9.4 |
| Q3 2020 | 225.0 thousands | −13.1 |

## API

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

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