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

United Kingdom LFS: In employment: East: All: Thousands: SA () was up 0.6% year on year in July 2026, compared with 1.3% in June 2026.
The level stood at 3,332.0 thousands.
Over the past ten years it has ranged from −2.9% (Oct 2020) to 5.8% (Mar 2025), averaging 1.0%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 3,332.0 thousands | 0.6 |
| June 2026 | 3,341.0 thousands | 1.3 |
| May 2026 | 3,344.0 thousands | 1.1 |
| April 2026 | 3,339.0 thousands | 0.6 |
| March 2026 | 3,344.0 thousands | 0.5 |
| February 2026 | 3,349.0 thousands | 0.7 |
| January 2026 | 3,340.0 thousands | 1.0 |
| December 2025 | 3,364.0 thousands | 3.1 |
| November 2025 | 3,350.0 thousands | 2.3 |
| October 2025 | 3,355.0 thousands | 2.3 |
| September 2025 | 3,325.0 thousands | 1.7 |
| August 2025 | 3,310.0 thousands | 2.3 |
| July 2025 | 3,312.0 thousands | 2.8 |
| June 2025 | 3,298.0 thousands | 3.1 |
| May 2025 | 3,306.0 thousands | 4.3 |
| April 2025 | 3,319.0 thousands | 5.0 |
| March 2025 | 3,329.0 thousands | 5.8 |
| February 2025 | 3,325.0 thousands | 5.2 |
| January 2025 | 3,308.0 thousands | 4.7 |
| December 2024 | 3,263.0 thousands | 4.0 |
| November 2024 | 3,276.0 thousands | 4.0 |
| October 2024 | 3,280.0 thousands | 3.7 |
| September 2024 | 3,270.0 thousands | 3.0 |
| August 2024 | 3,236.0 thousands | 2.3 |

## API

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

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