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

United Kingdom LFS: Employment: Cat B ISIC Rev. 4: : Women: Aged 15 and over: Thousands: NSA () was up 12.5% year on year in Q2 2026, compared with −38.5% in Q1 2026.
The level stood at 27.00 thousands.
That is the highest reading since Q1 2025.
Over the past ten years it has ranged from −75.9% (Q3 2023) to 314.3% (Q3 2024), averaging 15.6%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.MEASURE-LEVEL.NACE-C-B.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-cat-b-isic-rev-4-women-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 27.00 thousands | 12.5 |
| Q1 2026 | 24.00 thousands | −38.5 |
| Q4 2025 | 27.00 thousands | −20.6 |
| Q3 2025 | 27.00 thousands | −6.9 |
| Q2 2025 | 24.00 thousands | −7.7 |
| Q1 2025 | 39.00 thousands | 85.7 |
| Q4 2024 | 34.00 thousands | 112.5 |
| Q3 2024 | 29.00 thousands | 314.3 |
| Q2 2024 | 26.00 thousands | 52.9 |
| Q1 2024 | 21.00 thousands | −16.0 |
| Q4 2023 | 16.00 thousands | −46.7 |
| Q3 2023 | 7.00 thousands | −75.9 |
| Q2 2023 | 17.00 thousands | −26.1 |
| Q1 2023 | 25.00 thousands | 31.6 |
| Q4 2022 | 30.00 thousands | 57.9 |
| Q3 2022 | 29.00 thousands | 11.5 |
| Q2 2022 | 23.00 thousands | −4.2 |
| Q1 2022 | 19.00 thousands | −9.5 |
| Q4 2021 | 19.00 thousands | −17.4 |
| Q3 2021 | 26.00 thousands | 13.0 |
| Q2 2021 | 24.00 thousands | 0.0 |
| Q1 2021 | 21.00 thousands | −16.0 |
| Q4 2020 | 23.00 thousands | −8.0 |
| Q3 2020 | 23.00 thousands | 4.5 |

## API

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

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