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

United Kingdom LFS: Employment: Cat D ISIC Rev. 4: : People: Aged 15 and over: Thousands: NSA () was up 14.3% year on year in Q2 2026, compared with 4.5% in Q1 2026.
The level stood at 232.0 thousands.
That is the highest reading since Q3 2024.
Over the past ten years it has ranged from −23.8% (Q2 2022) to 24.7% (Q3 2024), averaging 1.5%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 232.0 thousands | 14.3 |
| Q1 2026 | 208.0 thousands | 4.5 |
| Q4 2025 | 201.0 thousands | 1.5 |
| Q3 2025 | 192.0 thousands | −9.4 |
| Q2 2025 | 203.0 thousands | 11.5 |
| Q1 2025 | 199.0 thousands | 4.2 |
| Q4 2024 | 198.0 thousands | 6.5 |
| Q3 2024 | 212.0 thousands | 24.7 |
| Q2 2024 | 182.0 thousands | 9.0 |
| Q1 2024 | 191.0 thousands | 7.3 |
| Q4 2023 | 186.0 thousands | 9.4 |
| Q3 2023 | 170.0 thousands | −6.1 |
| Q2 2023 | 167.0 thousands | −3.5 |
| Q1 2023 | 178.0 thousands | −3.3 |
| Q4 2022 | 170.0 thousands | −12.8 |
| Q3 2022 | 181.0 thousands | −14.6 |
| Q2 2022 | 173.0 thousands | −23.8 |
| Q1 2022 | 184.0 thousands | −10.7 |
| Q4 2021 | 195.0 thousands | −6.2 |
| Q3 2021 | 212.0 thousands | 12.8 |
| Q2 2021 | 227.0 thousands | 10.2 |
| Q1 2021 | 206.0 thousands | 5.6 |
| Q4 2020 | 208.0 thousands | 3.5 |
| Q3 2020 | 188.0 thousands | −4.1 |

## API

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

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