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

United Kingdom "LFS: In Employment: Wholesale, retail & repair of motor vehicles: : People: Aged 16 and over: Thousands: NSA" () was down 4.5% year on year in Q2 2026, compared with −2.7% in Q1 2026.
The level stood at 3,557.0 thousands.
That is the lowest reading since Q1 2024.
Over the past ten years it has ranged from −8.5% (Q1 2024) to 8.1% (Q1 2025), averaging −1.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4EO.MEASURE-LEVEL`
- 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-people

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 3,557.0 thousands | −4.5 |
| Q1 2026 | 3,559.0 thousands | −2.7 |
| Q4 2025 | 3,598.0 thousands | −2.1 |
| Q3 2025 | 3,614.0 thousands | 0.3 |
| Q2 2025 | 3,723.0 thousands | 6.3 |
| Q1 2025 | 3,659.0 thousands | 8.1 |
| Q4 2024 | 3,675.0 thousands | 3.0 |
| Q3 2024 | 3,602.0 thousands | 0.4 |
| Q2 2024 | 3,501.0 thousands | −2.7 |
| Q1 2024 | 3,385.0 thousands | −8.5 |
| Q4 2023 | 3,568.0 thousands | −3.3 |
| Q3 2023 | 3,589.0 thousands | 1.3 |
| Q2 2023 | 3,599.0 thousands | 0.2 |
| Q1 2023 | 3,700.0 thousands | −1.4 |
| Q4 2022 | 3,690.0 thousands | −3.7 |
| Q3 2022 | 3,542.0 thousands | −8.3 |
| Q2 2022 | 3,592.0 thousands | −6.6 |
| Q1 2022 | 3,752.0 thousands | −2.3 |
| Q4 2021 | 3,833.0 thousands | −0.6 |
| Q3 2021 | 3,864.0 thousands | −2.8 |
| Q2 2021 | 3,845.0 thousands | −2.6 |
| Q1 2021 | 3,840.0 thousands | −4.1 |
| Q4 2020 | 3,855.0 thousands | −6.2 |
| Q3 2020 | 3,976.0 thousands | −2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EO.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EO.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```