# United Kingdom LFS: Self-employed: : All: Thousands: NSA ()

United Kingdom LFS: Self-employed: : All: Thousands: NSA () was up 0.8% year on year in July 2026, compared with 2.4% in June 2026.
The level stood at 4,412.0 thousands.
Over the past ten years it has ranged from −15.6% (Jan 2021) to 6.3% (Mar 2023), averaging −0.4%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.NSA.GRP-SELFEMPLOYED.MEASURE-LEVEL`
- Frequency: monthly
- Units: thousands
- Coverage: 1984-04-01 to 2026-07-01 (420 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-self-employed-all-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 4,412.0 thousands | 0.8 |
| June 2026 | 4,513.0 thousands | 2.4 |
| May 2026 | 4,520.0 thousands | 2.6 |
| April 2026 | 4,555.0 thousands | 2.2 |
| March 2026 | 4,602.0 thousands | 3.8 |
| February 2026 | 4,576.0 thousands | 3.8 |
| January 2026 | 4,475.0 thousands | 1.3 |
| December 2025 | 4,393.0 thousands | 0.2 |
| November 2025 | 4,385.0 thousands | −0.2 |
| October 2025 | 4,396.0 thousands | −0.2 |
| September 2025 | 4,370.0 thousands | −0.4 |
| August 2025 | 4,373.0 thousands | 0.8 |
| July 2025 | 4,377.0 thousands | 3.0 |
| June 2025 | 4,409.0 thousands | 3.0 |
| May 2025 | 4,407.0 thousands | 2.0 |
| April 2025 | 4,457.0 thousands | 2.4 |
| March 2025 | 4,433.0 thousands | 1.1 |
| February 2025 | 4,407.0 thousands | 2.5 |
| January 2025 | 4,418.0 thousands | 2.8 |
| December 2024 | 4,386.0 thousands | 1.4 |
| November 2024 | 4,395.0 thousands | −0.7 |
| October 2024 | 4,407.0 thousands | 1.0 |
| September 2024 | 4,387.0 thousands | 1.1 |
| August 2024 | 4,338.0 thousands | −0.4 |

## API

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

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