# United Kingdom LFS: In Employment: Real estate activities: : Women: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In Employment: Real estate activities: : Women: Aged 16 and over: Thousands: NSA () was down 16.5% year on year in Q2 2026, compared with −1.0% in Q1 2026.
The level stood at 192.0 thousands.
That is the lowest reading since Q2 2015.
Over the past ten years it has ranged from −16.5% (Q2 2026) to 23.5% (Q4 2018), averaging 2.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4F3.MEASURE-LEVEL.SEX-F`
- Frequency: quarterly
- Units: thousands
- Coverage: 1997-01-01 to 2026-04-01 (118 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-real-estate-activities-women-aged-16-and-over

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 192.0 thousands | −16.5 |
| Q1 2026 | 208.0 thousands | −1.0 |
| Q4 2025 | 226.0 thousands | 2.7 |
| Q3 2025 | 219.0 thousands | 9.5 |
| Q2 2025 | 230.0 thousands | 13.3 |
| Q1 2025 | 210.0 thousands | −8.3 |
| Q4 2024 | 220.0 thousands | 4.3 |
| Q3 2024 | 200.0 thousands | −2.9 |
| Q2 2024 | 203.0 thousands | −9.4 |
| Q1 2024 | 229.0 thousands | 1.8 |
| Q4 2023 | 211.0 thousands | 2.4 |
| Q3 2023 | 206.0 thousands | 3.0 |
| Q2 2023 | 224.0 thousands | 6.2 |
| Q1 2023 | 225.0 thousands | 14.2 |
| Q4 2022 | 206.0 thousands | 2.5 |
| Q3 2022 | 200.0 thousands | −11.9 |
| Q2 2022 | 211.0 thousands | 1.9 |
| Q1 2022 | 197.0 thousands | −13.2 |
| Q4 2021 | 201.0 thousands | −11.1 |
| Q3 2021 | 227.0 thousands | 6.1 |
| Q2 2021 | 207.0 thousands | 1.0 |
| Q1 2021 | 227.0 thousands | 9.7 |
| Q4 2020 | 226.0 thousands | 4.1 |
| Q3 2020 | 214.0 thousands | −0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4F3.MEASURE-LEVEL.SEX-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4F3.MEASURE-LEVEL.SEX-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```