# United Kingdom "LFS: In Employment: Wholesale, retail & repair of motor vehicles: : Men: Aged 16 and over: Thousands: NSA" ()

United Kingdom "LFS: In Employment: Wholesale, retail & repair of motor vehicles: : Men: Aged 16 and over: Thousands: NSA" () was down 2.8% year on year in Q2 2026, compared with −1.9% in Q1 2026.
The level stood at 1,943.0 thousands.
That is the lowest reading since Q2 2024.
Over the past ten years it has ranged from −10.4% (Q2 2022) to 12.6% (Q1 2025), averaging −0.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4EN.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-wholesale-retail-and-repair-of-motor-vehicles-men

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,943.0 thousands | −2.8 |
| Q1 2026 | 1,944.0 thousands | −1.9 |
| Q4 2025 | 1,933.0 thousands | −2.5 |
| Q3 2025 | 1,945.0 thousands | 0.05 |
| Q2 2025 | 1,999.0 thousands | 11.2 |
| Q1 2025 | 1,982.0 thousands | 12.6 |
| Q4 2024 | 1,982.0 thousands | 5.6 |
| Q3 2024 | 1,944.0 thousands | −0.7 |
| Q2 2024 | 1,798.0 thousands | −8.0 |
| Q1 2024 | 1,760.0 thousands | −10.2 |
| Q4 2023 | 1,877.0 thousands | −2.9 |
| Q3 2023 | 1,958.0 thousands | 6.9 |
| Q2 2023 | 1,955.0 thousands | 6.9 |
| Q1 2023 | 1,960.0 thousands | −1.4 |
| Q4 2022 | 1,933.0 thousands | −6.2 |
| Q3 2022 | 1,832.0 thousands | −9.7 |
| Q2 2022 | 1,829.0 thousands | −10.4 |
| Q1 2022 | 1,988.0 thousands | −2.9 |
| Q4 2021 | 2,060.0 thousands | 1.1 |
| Q3 2021 | 2,028.0 thousands | −3.5 |
| Q2 2021 | 2,041.0 thousands | −2.1 |
| Q1 2021 | 2,048.0 thousands | −0.9 |
| Q4 2020 | 2,038.0 thousands | −5.5 |
| Q3 2020 | 2,101.0 thousands | −1.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EN.MEASURE-LEVEL.SEX-M"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EN.MEASURE-LEVEL.SEX-M",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```