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

United Kingdom LFS: Employment: Cat E ISIC Rev. 4: : Women: Aged 15 and over: Thousands: NSA () was down 18.2% year on year in Q2 2026, compared with −16.3% in Q1 2026.
The level stood at 45.00 thousands.
That is the lowest reading since Q3 2024.
Over the past ten years it has ranged from −22.6% (Q3 2024) to 45.7% (Q3 2018), averaging 1.8%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 45.00 thousands | −18.2 |
| Q1 2026 | 41.00 thousands | −16.3 |
| Q4 2025 | 48.00 thousands | −5.9 |
| Q3 2025 | 49.00 thousands | 2.1 |
| Q2 2025 | 55.00 thousands | −8.3 |
| Q1 2025 | 49.00 thousands | −15.5 |
| Q4 2024 | 51.00 thousands | −10.5 |
| Q3 2024 | 48.00 thousands | −22.6 |
| Q2 2024 | 60.00 thousands | 5.3 |
| Q1 2024 | 58.00 thousands | −4.9 |
| Q4 2023 | 57.00 thousands | −12.3 |
| Q3 2023 | 62.00 thousands | −12.7 |
| Q2 2023 | 57.00 thousands | −14.9 |
| Q1 2023 | 61.00 thousands | −20.8 |
| Q4 2022 | 65.00 thousands | −5.8 |
| Q3 2022 | 71.00 thousands | 10.9 |
| Q2 2022 | 67.00 thousands | 13.6 |
| Q1 2022 | 77.00 thousands | 35.1 |
| Q4 2021 | 69.00 thousands | 21.1 |
| Q3 2021 | 64.00 thousands | 1.6 |
| Q2 2021 | 59.00 thousands | 15.7 |
| Q1 2021 | 57.00 thousands | 7.5 |
| Q4 2020 | 57.00 thousands | 14.0 |
| Q3 2020 | 63.00 thousands | 31.2 |

## API

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

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