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

United Kingdom LFS: Employees: Cat U ISIC Rev. 4: : People: Aged 15 and over: Thousands: NSA () was up 1.6% year on year in Q2 2026, compared with −15.6% in Q1 2026.
The level stood at 63.00 thousands.
Over the past ten years it has ranged from −42.1% (Q3 2022) to 68.6% (Q2 2016), averaging 7.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.GRP-EMPLOYEE.MEASURE-LEVEL.NACE-C-U`
- 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-u-isic-rev-4-people-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 63.00 thousands | 1.6 |
| Q1 2026 | 65.00 thousands | −15.6 |
| Q4 2025 | 66.00 thousands | 4.8 |
| Q3 2025 | 56.00 thousands | −9.7 |
| Q2 2025 | 62.00 thousands | 6.9 |
| Q1 2025 | 77.00 thousands | −1.3 |
| Q4 2024 | 63.00 thousands | −7.4 |
| Q3 2024 | 62.00 thousands | −7.5 |
| Q2 2024 | 58.00 thousands | −13.4 |
| Q1 2024 | 78.00 thousands | 44.4 |
| Q4 2023 | 68.00 thousands | 54.5 |
| Q3 2023 | 67.00 thousands | 52.3 |
| Q2 2023 | 67.00 thousands | 36.7 |
| Q1 2023 | 54.00 thousands | −16.9 |
| Q4 2022 | 44.00 thousands | −35.3 |
| Q3 2022 | 44.00 thousands | −42.1 |
| Q2 2022 | 49.00 thousands | −37.2 |
| Q1 2022 | 65.00 thousands | −4.4 |
| Q4 2021 | 68.00 thousands | 30.8 |
| Q3 2021 | 76.00 thousands | 61.7 |
| Q2 2021 | 78.00 thousands | 34.5 |
| Q1 2021 | 68.00 thousands | 36.0 |
| Q4 2020 | 52.00 thousands | −5.5 |
| Q3 2020 | 47.00 thousands | −23.0 |

## API

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

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