# United Kingdom LFS: In employment: North West (GOR): Male: Thousands: SA ()

United Kingdom LFS: In employment: North West (GOR): Male: Thousands: SA () was up 4.2% year on year in July 2026, compared with 3.3% in June 2026.
The level stood at 1,971.0 thousands.
That is the highest reading since March 2023.
Over the past ten years it has ranged from −5.1% (Dec 2020) to 6.5% (Feb 2023), averaging 0.8%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.SA.MEASURE-LEVEL.REGION-NORTH-WEST.SEX-M`
- Frequency: monthly
- Units: thousands
- Coverage: 1992-04-01 to 2026-07-01 (412 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-north-west-gor-male-thousands-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 1,971.0 thousands | 4.2 |
| June 2026 | 1,960.0 thousands | 3.3 |
| May 2026 | 1,954.0 thousands | 2.9 |
| April 2026 | 1,928.0 thousands | 2.0 |
| March 2026 | 1,915.0 thousands | 2.2 |
| February 2026 | 1,907.0 thousands | 0.7 |
| January 2026 | 1,899.0 thousands | −1.6 |
| December 2025 | 1,888.0 thousands | −2.0 |
| November 2025 | 1,884.0 thousands | −1.3 |
| October 2025 | 1,901.0 thousands | −0.2 |
| September 2025 | 1,897.0 thousands | −0.7 |
| August 2025 | 1,897.0 thousands | 0.4 |
| July 2025 | 1,891.0 thousands | 0.2 |
| June 2025 | 1,897.0 thousands | 2.3 |
| May 2025 | 1,899.0 thousands | 1.4 |
| April 2025 | 1,891.0 thousands | 1.0 |
| March 2025 | 1,873.0 thousands | −0.3 |
| February 2025 | 1,894.0 thousands | 0.3 |
| January 2025 | 1,930.0 thousands | 3.4 |
| December 2024 | 1,926.0 thousands | 2.4 |
| November 2024 | 1,908.0 thousands | 2.7 |
| October 2024 | 1,905.0 thousands | 1.7 |
| September 2024 | 1,911.0 thousands | 2.2 |
| August 2024 | 1,890.0 thousands | 0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.M.SA.MEASURE-LEVEL.REGION-NORTH-WEST.SEX-M"

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