# United Kingdom LFS: Employment: Total ISIC Rev. 4: : Women: Aged 15 and over: Thousands: NSA ()

United Kingdom LFS: Employment: Total ISIC Rev. 4: : Women: Aged 15 and over: Thousands: NSA () was up 0.9% year on year in Q2 2026, compared with 1.3% in Q1 2026.
The level stood at 16,686 thousands.
That is the lowest reading since Q2 2023.
Over the past ten years it has ranged from −1.2% (Q4 2020) to 4.1% (Q2 2019), averaging 1.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-J655.MEASURE-LEVEL.SEX-F`
- Frequency: quarterly
- Units: thousands
- Coverage: 2001-01-01 to 2026-04-01 (102 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-employment-total-isic-rev-4-women-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 16,686 thousands | 0.9 |
| Q1 2026 | 16,682 thousands | 1.3 |
| Q4 2025 | 16,646 thousands | 1.9 |
| Q3 2025 | 16,621 thousands | 1.3 |
| Q2 2025 | 16,544 thousands | 2.0 |
| Q1 2025 | 16,462 thousands | 1.9 |
| Q4 2024 | 16,332 thousands | 1.1 |
| Q3 2024 | 16,406 thousands | 1.8 |
| Q2 2024 | 16,218 thousands | 1.4 |
| Q1 2024 | 16,158 thousands | 0.9 |
| Q4 2023 | 16,159 thousands | 1.2 |
| Q3 2023 | 16,116 thousands | 1.4 |
| Q2 2023 | 16,000 thousands | 0.5 |
| Q1 2023 | 16,016 thousands | 0.7 |
| Q4 2022 | 15,975 thousands | 0.8 |
| Q3 2022 | 15,887 thousands | 0.4 |
| Q2 2022 | 15,916 thousands | 1.0 |
| Q1 2022 | 15,899 thousands | 0.8 |
| Q4 2021 | 15,853 thousands | 1.2 |
| Q3 2021 | 15,825 thousands | 1.0 |
| Q2 2021 | 15,754 thousands | 0.4 |
| Q1 2021 | 15,765 thousands | −0.7 |
| Q4 2020 | 15,671 thousands | −1.2 |
| Q3 2020 | 15,670 thousands | −0.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-J655.MEASURE-LEVEL.SEX-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-J655.MEASURE-LEVEL.SEX-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```