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

United Kingdom LFS: Employment: Cat D ISIC Rev. 4: : Women: Aged 15 and over: Thousands: NSA () was up 3.9% year on year in Q2 2026, compared with −18.2% in Q1 2026.
The level stood at 53.00 thousands.
That is the highest reading since Q2 2025.
Over the past ten years it has ranged from −28.1% (Q3 2022) to 38.1% (Q1 2019), averaging 0.7%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 53.00 thousands | 3.9 |
| Q1 2026 | 45.00 thousands | −18.2 |
| Q4 2025 | 40.00 thousands | −18.4 |
| Q3 2025 | 43.00 thousands | −17.3 |
| Q2 2025 | 51.00 thousands | 18.6 |
| Q1 2025 | 55.00 thousands | 5.8 |
| Q4 2024 | 49.00 thousands | −2.0 |
| Q3 2024 | 52.00 thousands | 30.0 |
| Q2 2024 | 43.00 thousands | −6.5 |
| Q1 2024 | 52.00 thousands | 0.0 |
| Q4 2023 | 50.00 thousands | 8.7 |
| Q3 2023 | 40.00 thousands | −13.0 |
| Q2 2023 | 46.00 thousands | −9.8 |
| Q1 2023 | 52.00 thousands | −1.9 |
| Q4 2022 | 46.00 thousands | −22.0 |
| Q3 2022 | 46.00 thousands | −28.1 |
| Q2 2022 | 51.00 thousands | −20.3 |
| Q1 2022 | 53.00 thousands | 17.8 |
| Q4 2021 | 59.00 thousands | 9.3 |
| Q3 2021 | 64.00 thousands | 16.4 |
| Q2 2021 | 64.00 thousands | 16.4 |
| Q1 2021 | 45.00 thousands | −10.0 |
| Q4 2020 | 54.00 thousands | −10.0 |
| Q3 2020 | 55.00 thousands | 3.8 |

## API

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

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