# United Kingdom LFS: Employment: Service Industries: : People: Aged 15 and over: Thousands: NSA ()

United Kingdom LFS: Employment: Service Industries: : People: Aged 15 and over: Thousands: NSA () was up 0.9% year on year in Q2 2026, compared with 1.6% in Q1 2026.
The level stood at 28,651 thousands.
That is the lowest reading since Q3 2024.
Over the past ten years it has ranged from −0.8% (Q4 2020) to 2.8% (Q2 2025), averaging 1.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-J652.MEASURE-LEVEL`
- Frequency: quarterly
- Units: thousands
- Coverage: 2001-01-01 to 2026-04-01 (102 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-employment-service-industries-people-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 28,651 thousands | 0.9 |
| Q1 2026 | 28,574 thousands | 1.6 |
| Q4 2025 | 28,476 thousands | 1.7 |
| Q3 2025 | 28,514 thousands | 2.0 |
| Q2 2025 | 28,399 thousands | 2.8 |
| Q1 2025 | 28,112 thousands | 2.5 |
| Q4 2024 | 28,011 thousands | 1.7 |
| Q3 2024 | 27,946 thousands | 0.8 |
| Q2 2024 | 27,614 thousands | 0.03 |
| Q1 2024 | 27,437 thousands | −0.4 |
| Q4 2023 | 27,542 thousands | 0.9 |
| Q3 2023 | 27,717 thousands | 2.0 |
| Q2 2023 | 27,606 thousands | 2.2 |
| Q1 2023 | 27,542 thousands | 2.6 |
| Q4 2022 | 27,306 thousands | 1.6 |
| Q3 2022 | 27,176 thousands | 1.7 |
| Q2 2022 | 27,006 thousands | 1.9 |
| Q1 2022 | 26,856 thousands | 1.4 |
| Q4 2021 | 26,866 thousands | 1.3 |
| Q3 2021 | 26,723 thousands | 0.7 |
| Q2 2021 | 26,511 thousands | 0.3 |
| Q1 2021 | 26,479 thousands | −0.8 |
| Q4 2020 | 26,527 thousands | −0.8 |
| Q3 2020 | 26,549 thousands | 0.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-J652.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-J652.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```