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

United Kingdom LFS: Employment: Cat D ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA () was up 17.8% year on year in Q2 2026, compared with 13.9% in Q1 2026.
The level stood at 179.0 thousands.
That is the highest reading since Q3 2024.
Over the past ten years it has ranged from −25.6% (Q2 2022) to 23.8% (Q3 2024), averaging 2.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.MEASURE-LEVEL.NACE-C-D.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-employment-cat-d-isic-rev-4-men-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 179.0 thousands | 17.8 |
| Q1 2026 | 164.0 thousands | 13.9 |
| Q4 2025 | 161.0 thousands | 8.1 |
| Q3 2025 | 149.0 thousands | −7.5 |
| Q2 2025 | 152.0 thousands | 9.4 |
| Q1 2025 | 144.0 thousands | 3.6 |
| Q4 2024 | 149.0 thousands | 10.4 |
| Q3 2024 | 161.0 thousands | 23.8 |
| Q2 2024 | 139.0 thousands | 14.9 |
| Q1 2024 | 139.0 thousands | 10.3 |
| Q4 2023 | 135.0 thousands | 8.9 |
| Q3 2023 | 130.0 thousands | −3.0 |
| Q2 2023 | 121.0 thousands | −0.8 |
| Q1 2023 | 126.0 thousands | −3.1 |
| Q4 2022 | 124.0 thousands | −8.8 |
| Q3 2022 | 134.0 thousands | −9.5 |
| Q2 2022 | 122.0 thousands | −25.6 |
| Q1 2022 | 130.0 thousands | −19.3 |
| Q4 2021 | 136.0 thousands | −11.7 |
| Q3 2021 | 148.0 thousands | 10.4 |
| Q2 2021 | 164.0 thousands | 8.6 |
| Q1 2021 | 161.0 thousands | 11.8 |
| Q4 2020 | 154.0 thousands | 8.5 |
| Q3 2020 | 134.0 thousands | −6.9 |

## API

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

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