# United Kingdom "LFS: In Employment: Professional, scientific & technical activities: : People: Aged 16 and over: Thousands: NSA" ()

United Kingdom "LFS: In Employment: Professional, scientific & technical activities: : People: Aged 16 and over: Thousands: NSA" () was up 0.9% year on year in Q2 2026, compared with −2.1% in Q1 2026.
The level stood at 2,943.0 thousands.
Over the past ten years it has ranged from −6.9% (Q3 2024) to 10.1% (Q3 2023), averaging 3.0%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4F8.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-professional-scientific-and-technical-activities

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 2,943.0 thousands | 0.9 |
| Q1 2026 | 2,919.0 thousands | −2.1 |
| Q4 2025 | 2,944.0 thousands | −2.7 |
| Q3 2025 | 2,947.0 thousands | 3.0 |
| Q2 2025 | 2,916.0 thousands | 1.4 |
| Q1 2025 | 2,983.0 thousands | −0.2 |
| Q4 2024 | 3,025.0 thousands | 2.5 |
| Q3 2024 | 2,860.0 thousands | −6.9 |
| Q2 2024 | 2,876.0 thousands | −5.3 |
| Q1 2024 | 2,990.0 thousands | 1.4 |
| Q4 2023 | 2,951.0 thousands | 7.5 |
| Q3 2023 | 3,071.0 thousands | 10.1 |
| Q2 2023 | 3,038.0 thousands | 9.9 |
| Q1 2023 | 2,949.0 thousands | 9.0 |
| Q4 2022 | 2,744.0 thousands | 2.4 |
| Q3 2022 | 2,789.0 thousands | 5.2 |
| Q2 2022 | 2,765.0 thousands | 5.5 |
| Q1 2022 | 2,706.0 thousands | −0.2 |
| Q4 2021 | 2,679.0 thousands | −0.04 |
| Q3 2021 | 2,652.0 thousands | 0.6 |
| Q2 2021 | 2,621.0 thousands | 3.2 |
| Q1 2021 | 2,711.0 thousands | 5.3 |
| Q4 2020 | 2,680.0 thousands | 5.4 |
| Q3 2020 | 2,635.0 thousands | 3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4F8.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4F8.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```