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

United Kingdom LFS: In employment: North East: Male: Thousands: SA () was up 4.2% year on year in July 2026, compared with 4.4% in June 2026.
The level stood at 649.0 thousands.
Over the past ten years it has ranged from −7.5% (May 2024) to 9.9% (Feb 2026), averaging 0.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.SA.MEASURE-LEVEL.REGION-NORTH-EAST.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-east-male-thousands-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 649.0 thousands | 4.2 |
| June 2026 | 646.0 thousands | 4.4 |
| May 2026 | 643.0 thousands | 4.4 |
| April 2026 | 642.0 thousands | 7.0 |
| March 2026 | 638.0 thousands | 6.5 |
| February 2026 | 643.0 thousands | 9.9 |
| January 2026 | 635.0 thousands | 5.8 |
| December 2025 | 625.0 thousands | 2.5 |
| November 2025 | 618.0 thousands | 2.1 |
| October 2025 | 620.0 thousands | 1.0 |
| September 2025 | 625.0 thousands | 4.9 |
| August 2025 | 610.0 thousands | −0.5 |
| July 2025 | 623.0 thousands | 3.5 |
| June 2025 | 619.0 thousands | 4.2 |
| May 2025 | 616.0 thousands | 4.2 |
| April 2025 | 600.0 thousands | 0.5 |
| March 2025 | 599.0 thousands | −2.9 |
| February 2025 | 585.0 thousands | −3.5 |
| January 2025 | 600.0 thousands | −1.5 |
| December 2024 | 610.0 thousands | 0.2 |
| November 2024 | 605.0 thousands | −1.9 |
| October 2024 | 614.0 thousands | −1.8 |
| September 2024 | 596.0 thousands | −1.5 |
| August 2024 | 613.0 thousands | −0.6 |

## API

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

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