# United Kingdom "LFS: In Employment: Professional, scientific & technical activities: : Men: Aged 16 and over: Thousands: NSA" ()

United Kingdom "LFS: In Employment: Professional, scientific & technical activities: : Men: Aged 16 and over: Thousands: NSA" () was up 2.1% year on year in Q2 2026, compared with −1.1% in Q1 2026.
The level stood at 1,588.0 thousands.
Over the past ten years it has ranged from −5.1% (Q3 2024) to 12.4% (Q1 2023), averaging 2.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4F7.MEASURE-LEVEL.SEX-M`
- Frequency: quarterly
- Units: thousands
- Coverage: 1997-01-01 to 2026-04-01 (118 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-professional-scientific-and-technical-activities-men

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,588.0 thousands | 2.1 |
| Q1 2026 | 1,592.0 thousands | −1.1 |
| Q4 2025 | 1,591.0 thousands | −3.2 |
| Q3 2025 | 1,610.0 thousands | 3.5 |
| Q2 2025 | 1,555.0 thousands | −0.5 |
| Q1 2025 | 1,609.0 thousands | 2.9 |
| Q4 2024 | 1,644.0 thousands | 7.2 |
| Q3 2024 | 1,556.0 thousands | −5.1 |
| Q2 2024 | 1,563.0 thousands | −4.6 |
| Q1 2024 | 1,563.0 thousands | −4.1 |
| Q4 2023 | 1,534.0 thousands | 1.3 |
| Q3 2023 | 1,640.0 thousands | 7.5 |
| Q2 2023 | 1,639.0 thousands | 11.0 |
| Q1 2023 | 1,629.0 thousands | 12.4 |
| Q4 2022 | 1,515.0 thousands | 3.6 |
| Q3 2022 | 1,525.0 thousands | 6.0 |
| Q2 2022 | 1,476.0 thousands | 3.9 |
| Q1 2022 | 1,449.0 thousands | −2.4 |
| Q4 2021 | 1,462.0 thousands | −2.9 |
| Q3 2021 | 1,439.0 thousands | −3.6 |
| Q2 2021 | 1,420.0 thousands | −1.8 |
| Q1 2021 | 1,484.0 thousands | 2.4 |
| Q4 2020 | 1,505.0 thousands | 7.4 |
| Q3 2020 | 1,493.0 thousands | 3.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4F7.MEASURE-LEVEL.SEX-M"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4F7.MEASURE-LEVEL.SEX-M",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```