# United Kingdom "LFS: In Employment: Wholesale, retail & repair of motor vehicles: : Women: Aged 16 and over: Thousands: NSA" ()

United Kingdom "LFS: In Employment: Wholesale, retail & repair of motor vehicles: : Women: Aged 16 and over: Thousands: NSA" () was down 6.3% year on year in Q2 2026, compared with −3.6% in Q1 2026.
The level stood at 1,615.0 thousands.
That is the lowest reading since Q1 2024.
Over the past ten years it has ranged from −7.5% (Q1 2021) to 5.1% (Q2 2016), averaging −1.6%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4EM.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-wholesale-retail-and-repair-of-motor-vehicles-women

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,615.0 thousands | −6.3 |
| Q1 2026 | 1,616.0 thousands | −3.6 |
| Q4 2025 | 1,664.0 thousands | −1.7 |
| Q3 2025 | 1,669.0 thousands | 0.7 |
| Q2 2025 | 1,724.0 thousands | 1.3 |
| Q1 2025 | 1,677.0 thousands | 3.2 |
| Q4 2024 | 1,693.0 thousands | 0.06 |
| Q3 2024 | 1,658.0 thousands | 1.7 |
| Q2 2024 | 1,702.0 thousands | 3.5 |
| Q1 2024 | 1,625.0 thousands | −6.6 |
| Q4 2023 | 1,692.0 thousands | −3.7 |
| Q3 2023 | 1,631.0 thousands | −4.7 |
| Q2 2023 | 1,644.0 thousands | −6.7 |
| Q1 2023 | 1,740.0 thousands | −1.4 |
| Q4 2022 | 1,757.0 thousands | −0.9 |
| Q3 2022 | 1,711.0 thousands | −6.8 |
| Q2 2022 | 1,763.0 thousands | −2.3 |
| Q1 2022 | 1,764.0 thousands | −1.6 |
| Q4 2021 | 1,773.0 thousands | −2.5 |
| Q3 2021 | 1,836.0 thousands | −2.1 |
| Q2 2021 | 1,804.0 thousands | −3.2 |
| Q1 2021 | 1,792.0 thousands | −7.5 |
| Q4 2020 | 1,818.0 thousands | −6.9 |
| Q3 2020 | 1,875.0 thousands | −2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EM.MEASURE-LEVEL.SEX-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EM.MEASURE-LEVEL.SEX-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```