# United Kingdom LFS: ILO redundancy rate: : Men: SA ()

United Kingdom LFS: ILO redundancy rate: : Men: SA () was 4.40 per 1000 employees in July 2026, down 2.2% from June 2026 and down 4.3% from a year earlier.
Over the past ten years it has ranged from 1.80 per 1000 employees (Apr 2022) to 15.60 per 1000 employees (Oct 2020), averaging 4.64 per 1000 employees.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.REDUNDANCY.M.SA.MEASURE-RATE.SEX-M`
- Frequency: monthly
- Units: per 1000 employees
- Coverage: 1995-04-01 to 2026-07-01 (376 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-ilo-redundancy-rate-men-sa

## Recent data

| Period | Value |
|---|---:|
| July 2026 | 4.40 per 1000 employees |
| June 2026 | 4.50 per 1000 employees |
| May 2026 | 3.90 per 1000 employees |
| April 2026 | 4.00 per 1000 employees |
| March 2026 | 4.10 per 1000 employees |
| February 2026 | 4.50 per 1000 employees |
| January 2026 | 4.80 per 1000 employees |
| December 2025 | 4.50 per 1000 employees |
| November 2025 | 5.00 per 1000 employees |
| October 2025 | 5.00 per 1000 employees |
| September 2025 | 6.10 per 1000 employees |
| August 2025 | 5.30 per 1000 employees |
| July 2025 | 4.60 per 1000 employees |
| June 2025 | 3.80 per 1000 employees |
| May 2025 | 4.20 per 1000 employees |
| April 2025 | 5.00 per 1000 employees |
| March 2025 | 4.90 per 1000 employees |
| February 2025 | 5.20 per 1000 employees |
| January 2025 | 5.10 per 1000 employees |
| December 2024 | 5.40 per 1000 employees |
| November 2024 | 4.80 per 1000 employees |
| October 2024 | 4.80 per 1000 employees |
| September 2024 | 4.20 per 1000 employees |
| August 2024 | 4.00 per 1000 employees |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.REDUNDANCY.M.SA.MEASURE-RATE.SEX-M"

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