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

United Kingdom LFS: Employment: Cat B ISIC Rev. 4: : People: Aged 15 and over: Thousands: NSA () was down 3.5% year on year in Q2 2026, compared with −25.7% in Q1 2026.
The level stood at 110.0 thousands.
That is the highest reading since Q4 2024.
Over the past ten years it has ranged from −35.1% (Q2 2016) to 48.5% (Q1 2024), averaging −0.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.MEASURE-LEVEL.NACE-C-B`
- 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-people-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 110.0 thousands | −3.5 |
| Q1 2026 | 101.0 thousands | −25.7 |
| Q4 2025 | 103.0 thousands | −23.7 |
| Q3 2025 | 119.0 thousands | −5.6 |
| Q2 2025 | 114.0 thousands | −8.8 |
| Q1 2025 | 136.0 thousands | −5.6 |
| Q4 2024 | 135.0 thousands | 8.9 |
| Q3 2024 | 126.0 thousands | 44.8 |
| Q2 2024 | 125.0 thousands | 25.0 |
| Q1 2024 | 144.0 thousands | 48.5 |
| Q4 2023 | 124.0 thousands | 21.6 |
| Q3 2023 | 87.00 thousands | −26.9 |
| Q2 2023 | 100.0 thousands | −16.7 |
| Q1 2023 | 97.00 thousands | −21.8 |
| Q4 2022 | 102.0 thousands | −18.4 |
| Q3 2022 | 119.0 thousands | −19.0 |
| Q2 2022 | 120.0 thousands | −7.0 |
| Q1 2022 | 124.0 thousands | 13.8 |
| Q4 2021 | 125.0 thousands | 6.8 |
| Q3 2021 | 147.0 thousands | 26.7 |
| Q2 2021 | 129.0 thousands | 20.6 |
| Q1 2021 | 109.0 thousands | −0.9 |
| Q4 2020 | 117.0 thousands | −4.9 |
| Q3 2020 | 116.0 thousands | −7.9 |

## API

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

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