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

United Kingdom LFS: Employees: Cat T ISIC Rev. 4: : People: Aged 15 and over: Thousands: NSA () was up 21.9% year on year in Q2 2026, compared with −9.4% in Q1 2026.
The level stood at 39.00 thousands.
Over the past ten years it has ranged from −53.3% (Q3 2019) to 100.0% (Q2 2021), averaging 2.6%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 39.00 thousands | 21.9 |
| Q1 2026 | 29.00 thousands | −9.4 |
| Q4 2025 | 22.00 thousands | −12.0 |
| Q3 2025 | 26.00 thousands | 30.0 |
| Q2 2025 | 32.00 thousands | 45.5 |
| Q1 2025 | 32.00 thousands | 100.0 |
| Q4 2024 | 25.00 thousands | 47.1 |
| Q3 2024 | 20.00 thousands | −25.9 |
| Q2 2024 | 22.00 thousands | 22.2 |
| Q1 2024 | 16.00 thousands | −27.3 |
| Q4 2023 | 17.00 thousands | −34.6 |
| Q3 2023 | 27.00 thousands | −10.0 |
| Q2 2023 | 18.00 thousands | −37.9 |
| Q1 2023 | 22.00 thousands | −21.4 |
| Q4 2022 | 26.00 thousands | 23.8 |
| Q3 2022 | 30.00 thousands | 15.4 |
| Q2 2022 | 29.00 thousands | −14.7 |
| Q1 2022 | 28.00 thousands | 12.0 |
| Q4 2021 | 21.00 thousands | 5.0 |
| Q3 2021 | 26.00 thousands | 18.2 |
| Q2 2021 | 34.00 thousands | 100.0 |
| Q1 2021 | 25.00 thousands | 31.6 |
| Q4 2020 | 20.00 thousands | −4.8 |
| Q3 2020 | 22.00 thousands | 57.1 |

## API

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

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