# United Kingdom LFS: In Employment: Accommodation & food services: : People: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In Employment: Accommodation & food services: : People: Aged 16 and over: Thousands: NSA () was down 6.4% year on year in Q2 2026, compared with −5.1% in Q1 2026.
The level stood at 1,759.0 thousands.
That is the lowest reading since Q1 2024.
Over the past ten years it has ranged from −20.0% (Q1 2021) to 20.6% (Q1 2025), averaging 1.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4EU.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-accommodation-and-food-services-people-aged-16-and

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,759.0 thousands | −6.4 |
| Q1 2026 | 1,742.0 thousands | −5.1 |
| Q4 2025 | 1,834.0 thousands | −1.1 |
| Q3 2025 | 1,910.0 thousands | 7.2 |
| Q2 2025 | 1,880.0 thousands | 13.8 |
| Q1 2025 | 1,836.0 thousands | 20.6 |
| Q4 2024 | 1,854.0 thousands | 12.5 |
| Q3 2024 | 1,781.0 thousands | 0.4 |
| Q2 2024 | 1,652.0 thousands | −1.3 |
| Q1 2024 | 1,523.0 thousands | −12.6 |
| Q4 2023 | 1,648.0 thousands | −6.4 |
| Q3 2023 | 1,774.0 thousands | 2.1 |
| Q2 2023 | 1,673.0 thousands | −3.5 |
| Q1 2023 | 1,743.0 thousands | 8.3 |
| Q4 2022 | 1,761.0 thousands | 7.2 |
| Q3 2022 | 1,738.0 thousands | 6.5 |
| Q2 2022 | 1,734.0 thousands | 13.9 |
| Q1 2022 | 1,610.0 thousands | 10.0 |
| Q4 2021 | 1,643.0 thousands | 9.4 |
| Q3 2021 | 1,632.0 thousands | 1.9 |
| Q2 2021 | 1,522.0 thousands | −10.7 |
| Q1 2021 | 1,464.0 thousands | −20.0 |
| Q4 2020 | 1,502.0 thousands | −14.2 |
| Q3 2020 | 1,601.0 thousands | −12.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EU.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EU.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
