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

United Kingdom LFS: Employees: Cat T ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA () was up 100.0% year on year in Q2 2026, compared with 16.7% in Q1 2026.
The level stood at 12.00 thousands.
That is the highest reading since Q1 2025.
Over the past ten years it has ranged from −60.0% (Q3 2021) to 200.0% (Q3 2023), averaging 14.1%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 12.00 thousands | 100.0 |
| Q1 2026 | 7.00 thousands | 16.7 |
| Q4 2025 | 7.00 thousands | 40.0 |
| Q3 2025 | 7.00 thousands | 40.0 |
| Q2 2025 | 6.00 thousands | 20.0 |
| Q1 2025 | 6.00 thousands | 100.0 |
| Q4 2024 | 5.00 thousands | −50.0 |
| Q3 2024 | 5.00 thousands | −58.3 |
| Q2 2024 | 5.00 thousands | −16.7 |
| Q1 2024 | 3.00 thousands | −50.0 |
| Q4 2023 | 10.00 thousands | 25.0 |
| Q3 2023 | 12.00 thousands | 200.0 |
| Q2 2023 | 6.00 thousands | 20.0 |
| Q1 2023 | 6.00 thousands | 0.0 |
| Q4 2022 | 8.00 thousands | 166.7 |
| Q3 2022 | 4.00 thousands | 100.0 |
| Q2 2022 | 5.00 thousands | 0.0 |
| Q1 2022 | 6.00 thousands | 50.0 |
| Q4 2021 | 3.00 thousands | −25.0 |
| Q3 2021 | 2.00 thousands | −60.0 |
| Q2 2021 | 5.00 thousands | −28.6 |
| Q1 2021 | 4.00 thousands | −42.9 |
| Q4 2020 | 4.00 thousands | −50.0 |
| Q3 2020 | 5.00 thousands | −16.7 |

## API

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

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