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

United Kingdom LFS: In employment: East Midlands: Female: Thousands: SA () was up 1.9% year on year in July 2026, compared with 2.7% in June 2026.
The level stood at 1,239.0 thousands.
That is the lowest reading since May 2025.
Over the past ten years it has ranged from −5.7% (Dec 2022) to 8.1% (Jul 2019), averaging 1.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.SA.MEASURE-LEVEL.REGION-EAST-MIDLANDS.SEX-F`
- 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-midlands-female-thousands-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 1,239.0 thousands | 1.9 |
| June 2026 | 1,236.0 thousands | 2.7 |
| May 2026 | 1,223.0 thousands | 2.0 |
| April 2026 | 1,215.0 thousands | 2.5 |
| March 2026 | 1,212.0 thousands | 3.4 |
| February 2026 | 1,217.0 thousands | 3.1 |
| January 2026 | 1,221.0 thousands | 4.2 |
| December 2025 | 1,224.0 thousands | 3.8 |
| November 2025 | 1,223.0 thousands | 2.9 |
| October 2025 | 1,219.0 thousands | 2.3 |
| September 2025 | 1,221.0 thousands | 4.4 |
| August 2025 | 1,216.0 thousands | 2.8 |
| July 2025 | 1,216.0 thousands | 2.9 |
| June 2025 | 1,204.0 thousands | 2.8 |
| May 2025 | 1,199.0 thousands | 0.8 |
| April 2025 | 1,185.0 thousands | 0.8 |
| March 2025 | 1,172.0 thousands | 0.6 |
| February 2025 | 1,180.0 thousands | 2.9 |
| January 2025 | 1,172.0 thousands | 4.3 |
| December 2024 | 1,179.0 thousands | 4.4 |
| November 2024 | 1,188.0 thousands | 6.6 |
| October 2024 | 1,192.0 thousands | 5.3 |
| September 2024 | 1,170.0 thousands | 5.3 |
| August 2024 | 1,183.0 thousands | 6.3 |

## API

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

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