# United Kingdom LFS: In Employment: Financial & insurance activities: : People: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In Employment: Financial & insurance activities: : People: Aged 16 and over: Thousands: NSA () was up 5.9% year on year in Q2 2026, compared with 4.1% in Q1 2026.
The level stood at 1,463.0 thousands.
That is the highest reading since Q1 2024.
Over the past ten years it has ranged from −10.2% (Q1 2025) to 16.5% (Q1 2021), averaging 1.4%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4F2.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-financial-and-insurance-activities-people-aged-16-and

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,463.0 thousands | 5.9 |
| Q1 2026 | 1,458.0 thousands | 4.1 |
| Q4 2025 | 1,381.0 thousands | −3.6 |
| Q3 2025 | 1,360.0 thousands | −4.2 |
| Q2 2025 | 1,381.0 thousands | −7.0 |
| Q1 2025 | 1,400.0 thousands | −10.2 |
| Q4 2024 | 1,433.0 thousands | −3.0 |
| Q3 2024 | 1,419.0 thousands | −6.0 |
| Q2 2024 | 1,485.0 thousands | −1.6 |
| Q1 2024 | 1,559.0 thousands | 10.3 |
| Q4 2023 | 1,477.0 thousands | 6.1 |
| Q3 2023 | 1,510.0 thousands | 7.2 |
| Q2 2023 | 1,509.0 thousands | 6.5 |
| Q1 2023 | 1,414.0 thousands | 4.4 |
| Q4 2022 | 1,392.0 thousands | 3.4 |
| Q3 2022 | 1,408.0 thousands | 1.1 |
| Q2 2022 | 1,417.0 thousands | −0.6 |
| Q1 2022 | 1,355.0 thousands | −5.4 |
| Q4 2021 | 1,346.0 thousands | −7.0 |
| Q3 2021 | 1,392.0 thousands | 4.7 |
| Q2 2021 | 1,425.0 thousands | 9.9 |
| Q1 2021 | 1,433.0 thousands | 16.5 |
| Q4 2020 | 1,447.0 thousands | 14.1 |
| Q3 2020 | 1,330.0 thousands | 2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4F2.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4F2.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```