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

United Kingdom LFS: Employees: Cat B ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA () was down 9.5% year on year in Q2 2026, compared with −21.3% in Q1 2026.
The level stood at 76.00 thousands.
Over the past ten years it has ranged from −34.7% (Q4 2022) to 74.6% (Q1 2024), averaging −1.4%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 76.00 thousands | −9.5 |
| Q1 2026 | 70.00 thousands | −21.3 |
| Q4 2025 | 71.00 thousands | −23.7 |
| Q3 2025 | 86.00 thousands | −3.4 |
| Q2 2025 | 84.00 thousands | −8.7 |
| Q1 2025 | 89.00 thousands | −23.9 |
| Q4 2024 | 93.00 thousands | −7.9 |
| Q3 2024 | 89.00 thousands | 17.1 |
| Q2 2024 | 92.00 thousands | 21.1 |
| Q1 2024 | 117.0 thousands | 74.6 |
| Q4 2023 | 101.0 thousands | 53.0 |
| Q3 2023 | 76.00 thousands | −12.6 |
| Q2 2023 | 76.00 thousands | −18.3 |
| Q1 2023 | 67.00 thousands | −32.3 |
| Q4 2022 | 66.00 thousands | −34.7 |
| Q3 2022 | 87.00 thousands | −23.0 |
| Q2 2022 | 93.00 thousands | −5.1 |
| Q1 2022 | 99.00 thousands | 22.2 |
| Q4 2021 | 101.0 thousands | 13.5 |
| Q3 2021 | 113.0 thousands | 29.9 |
| Q2 2021 | 98.00 thousands | 38.0 |
| Q1 2021 | 81.00 thousands | 9.5 |
| Q4 2020 | 89.00 thousands | −1.1 |
| Q3 2020 | 87.00 thousands | −8.4 |

## API

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

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