# United Kingdom LFS: In Employment: Transport & storage: : People: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In Employment: Transport & storage: : People: Aged 16 and over: Thousands: NSA () was down 6.5% year on year in Q2 2026, compared with −9.0% in Q1 2026.
The level stood at 1,555.0 thousands.
Over the past ten years it has ranged from −9.0% (Q1 2026) to 10.0% (Q4 2024), averaging 0.08%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4ER.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-transport-and-storage-people-aged-16-and-over

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,555.0 thousands | −6.5 |
| Q1 2026 | 1,529.0 thousands | −9.0 |
| Q4 2025 | 1,591.0 thousands | −6.6 |
| Q3 2025 | 1,646.0 thousands | 2.4 |
| Q2 2025 | 1,663.0 thousands | 2.2 |
| Q1 2025 | 1,680.0 thousands | 3.2 |
| Q4 2024 | 1,704.0 thousands | 10.0 |
| Q3 2024 | 1,608.0 thousands | −3.6 |
| Q2 2024 | 1,627.0 thousands | 0.4 |
| Q1 2024 | 1,628.0 thousands | −3.3 |
| Q4 2023 | 1,549.0 thousands | −5.9 |
| Q3 2023 | 1,668.0 thousands | 1.3 |
| Q2 2023 | 1,621.0 thousands | 2.5 |
| Q1 2023 | 1,684.0 thousands | 6.2 |
| Q4 2022 | 1,646.0 thousands | 5.9 |
| Q3 2022 | 1,647.0 thousands | 9.8 |
| Q2 2022 | 1,581.0 thousands | 6.8 |
| Q1 2022 | 1,585.0 thousands | 6.3 |
| Q4 2021 | 1,555.0 thousands | 0.3 |
| Q3 2021 | 1,500.0 thousands | −4.6 |
| Q2 2021 | 1,481.0 thousands | −6.3 |
| Q1 2021 | 1,491.0 thousands | −6.2 |
| Q4 2020 | 1,551.0 thousands | −1.6 |
| Q3 2020 | 1,573.0 thousands | −0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4ER.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4ER.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```