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

United Kingdom LFS: Employees: Cat R ISIC Rev. 4: : People: Aged 15 and over: Thousands: NSA () was up 1.1% year on year in Q2 2026, compared with 9.2% in Q1 2026.
The level stood at 724.0 thousands.
That is the lowest reading since Q3 2024.
Over the past ten years it has ranged from −11.6% (Q4 2023) to 14.2% (Q3 2025), averaging 1.9%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 724.0 thousands | 1.1 |
| Q1 2026 | 739.0 thousands | 9.2 |
| Q4 2025 | 703.0 thousands | 13.0 |
| Q3 2025 | 741.0 thousands | 14.2 |
| Q2 2025 | 716.0 thousands | 9.5 |
| Q1 2025 | 677.0 thousands | 6.3 |
| Q4 2024 | 622.0 thousands | 4.4 |
| Q3 2024 | 649.0 thousands | 0.8 |
| Q2 2024 | 654.0 thousands | 2.3 |
| Q1 2024 | 637.0 thousands | 1.6 |
| Q4 2023 | 596.0 thousands | −11.6 |
| Q3 2023 | 644.0 thousands | −4.2 |
| Q2 2023 | 639.0 thousands | 1.1 |
| Q1 2023 | 627.0 thousands | −4.6 |
| Q4 2022 | 674.0 thousands | 4.2 |
| Q3 2022 | 672.0 thousands | 7.5 |
| Q2 2022 | 632.0 thousands | −1.1 |
| Q1 2022 | 657.0 thousands | 11.9 |
| Q4 2021 | 647.0 thousands | 10.0 |
| Q3 2021 | 625.0 thousands | 5.8 |
| Q2 2021 | 639.0 thousands | 3.4 |
| Q1 2021 | 587.0 thousands | −5.3 |
| Q4 2020 | 588.0 thousands | −4.2 |
| Q3 2020 | 591.0 thousands | −4.8 |

## API

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

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