# United Kingdom LFS: Employees: Cat B ISIC Rev. 4: : People: Aged 15 and over: Thousands: NSA ()

United Kingdom LFS: Employees: Cat B ISIC Rev. 4: : People: Aged 15 and over: Thousands: NSA () was down 6.4% year on year in Q2 2026, compared with −27.3% in Q1 2026.
The level stood at 102.0 thousands.
Over the past ten years it has ranged from −35.1% (Q2 2016) to 51.6% (Q1 2024), averaging −0.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.GRP-EMPLOYEE.MEASURE-LEVEL.NACE-C-B`
- Frequency: quarterly
- Units: thousands
- Coverage: 2001-01-01 to 2026-04-01 (102 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-employees-cat-b-isic-rev-4-people-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 102.0 thousands | −6.4 |
| Q1 2026 | 93.00 thousands | −27.3 |
| Q4 2025 | 98.00 thousands | −22.8 |
| Q3 2025 | 113.0 thousands | −5.0 |
| Q2 2025 | 109.0 thousands | −7.6 |
| Q1 2025 | 128.0 thousands | −7.2 |
| Q4 2024 | 127.0 thousands | 8.5 |
| Q3 2024 | 119.0 thousands | 43.4 |
| Q2 2024 | 118.0 thousands | 29.7 |
| Q1 2024 | 138.0 thousands | 51.6 |
| Q4 2023 | 117.0 thousands | 20.6 |
| Q3 2023 | 83.00 thousands | −28.4 |
| Q2 2023 | 91.00 thousands | −20.9 |
| Q1 2023 | 91.00 thousands | −22.2 |
| Q4 2022 | 97.00 thousands | −18.5 |
| Q3 2022 | 116.0 thousands | −16.5 |
| Q2 2022 | 115.0 thousands | −4.2 |
| Q1 2022 | 117.0 thousands | 15.8 |
| Q4 2021 | 119.0 thousands | 6.2 |
| Q3 2021 | 139.0 thousands | 26.4 |
| Q2 2021 | 120.0 thousands | 27.7 |
| Q1 2021 | 101.0 thousands | 3.1 |
| Q4 2020 | 112.0 thousands | −1.8 |
| Q3 2020 | 110.0 thousands | −6.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.GRP-EMPLOYEE.MEASURE-LEVEL.NACE-C-B"

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