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

United Kingdom LFS: Employees: Total ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA () was up 1.0% year on year in Q2 2026, compared with 1.4% in Q1 2026.
The level stood at 14,795 thousands.
That is the lowest reading since Q2 2024.
Over the past ten years it has ranged from −1.2% (Q3 2019) to 2.7% (Q2 2025), averaging 0.9%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 14,795 thousands | 1.0 |
| Q1 2026 | 14,696 thousands | 1.4 |
| Q4 2025 | 14,695 thousands | 1.1 |
| Q3 2025 | 14,658 thousands | 1.1 |
| Q2 2025 | 14,652 thousands | 2.7 |
| Q1 2025 | 14,496 thousands | 1.2 |
| Q4 2024 | 14,534 thousands | 1.5 |
| Q3 2024 | 14,495 thousands | 1.2 |
| Q2 2024 | 14,263 thousands | −0.5 |
| Q1 2024 | 14,330 thousands | 0.01 |
| Q4 2023 | 14,315 thousands | 0.2 |
| Q3 2023 | 14,324 thousands | 0.7 |
| Q2 2023 | 14,331 thousands | 1.2 |
| Q1 2023 | 14,329 thousands | 2.3 |
| Q4 2022 | 14,280 thousands | 1.5 |
| Q3 2022 | 14,230 thousands | 1.1 |
| Q2 2022 | 14,163 thousands | 2.7 |
| Q1 2022 | 14,009 thousands | 1.8 |
| Q4 2021 | 14,068 thousands | 2.4 |
| Q3 2021 | 14,082 thousands | 2.4 |
| Q2 2021 | 13,795 thousands | 0.4 |
| Q1 2021 | 13,758 thousands | 0.4 |
| Q4 2020 | 13,734 thousands | −0.3 |
| Q3 2020 | 13,751 thousands | −0.01 |

## API

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

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