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

United Kingdom LFS: Employees: Cat E ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA () was down 1.6% year on year in Q2 2026, compared with −8.0% in Q1 2026.
The level stood at 181.0 thousands.
Over the past ten years it has ranged from −16.8% (Q4 2019) to 22.8% (Q3 2021), averaging 2.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 181.0 thousands | −1.6 |
| Q1 2026 | 185.0 thousands | −8.0 |
| Q4 2025 | 204.0 thousands | 17.2 |
| Q3 2025 | 211.0 thousands | 21.3 |
| Q2 2025 | 184.0 thousands | 2.2 |
| Q1 2025 | 201.0 thousands | 5.8 |
| Q4 2024 | 174.0 thousands | −0.6 |
| Q3 2024 | 174.0 thousands | −0.6 |
| Q2 2024 | 180.0 thousands | 2.9 |
| Q1 2024 | 190.0 thousands | 4.4 |
| Q4 2023 | 175.0 thousands | −13.4 |
| Q3 2023 | 175.0 thousands | −9.3 |
| Q2 2023 | 175.0 thousands | −4.9 |
| Q1 2023 | 182.0 thousands | 5.8 |
| Q4 2022 | 202.0 thousands | 8.0 |
| Q3 2022 | 193.0 thousands | −3.0 |
| Q2 2022 | 184.0 thousands | 4.5 |
| Q1 2022 | 172.0 thousands | −7.5 |
| Q4 2021 | 187.0 thousands | −1.6 |
| Q3 2021 | 199.0 thousands | 22.8 |
| Q2 2021 | 176.0 thousands | −12.0 |
| Q1 2021 | 186.0 thousands | 6.3 |
| Q4 2020 | 190.0 thousands | 20.3 |
| Q3 2020 | 162.0 thousands | −3.6 |

## API

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

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