# United Kingdom LFS: In Employment: Accommodation & food services: : Women: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In Employment: Accommodation & food services: : Women: Aged 16 and over: Thousands: NSA () was up 0.1% year on year in Q2 2026, compared with 1.3% in Q1 2026.
The level stood at 938.0 thousands.
That is the lowest reading since Q3 2024.
Over the past ten years it has ranged from −23.2% (Q1 2021) to 14.3% (Q4 2016), averaging 1.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4ES.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-accommodation-and-food-services-women-aged-16-and

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 938.0 thousands | 0.1 |
| Q1 2026 | 941.0 thousands | 1.3 |
| Q4 2025 | 971.0 thousands | 5.7 |
| Q3 2025 | 983.0 thousands | 4.4 |
| Q2 2025 | 937.0 thousands | 5.8 |
| Q1 2025 | 929.0 thousands | 10.9 |
| Q4 2024 | 919.0 thousands | 1.0 |
| Q3 2024 | 942.0 thousands | −4.6 |
| Q2 2024 | 886.0 thousands | −5.2 |
| Q1 2024 | 838.0 thousands | −10.5 |
| Q4 2023 | 910.0 thousands | −5.5 |
| Q3 2023 | 987.0 thousands | 5.3 |
| Q2 2023 | 935.0 thousands | 2.3 |
| Q1 2023 | 936.0 thousands | 5.6 |
| Q4 2022 | 963.0 thousands | 5.1 |
| Q3 2022 | 937.0 thousands | 7.0 |
| Q2 2022 | 914.0 thousands | 13.8 |
| Q1 2022 | 886.0 thousands | 10.9 |
| Q4 2021 | 916.0 thousands | 7.9 |
| Q3 2021 | 876.0 thousands | −2.2 |
| Q2 2021 | 803.0 thousands | −15.6 |
| Q1 2021 | 799.0 thousands | −23.2 |
| Q4 2020 | 849.0 thousands | −13.5 |
| Q3 2020 | 896.0 thousands | −10.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4ES.MEASURE-LEVEL.SEX-F"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4ES.MEASURE-LEVEL.SEX-F",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```