# United Kingdom LFS: In Employment: Manufacturing: : People: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In Employment: Manufacturing: : People: Aged 16 and over: Thousands: NSA () was down 0.4% year on year in Q2 2026, compared with 1.6% in Q1 2026.
The level stood at 2,679.0 thousands.
Over the past ten years it has ranged from −12.0% (Q4 2020) to 9.7% (Q3 2024), averaging −1.0%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4EI.MEASURE-LEVEL`
- 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-manufacturing-people-aged-16-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 2,679.0 thousands | −0.4 |
| Q1 2026 | 2,722.0 thousands | 1.6 |
| Q4 2025 | 2,688.0 thousands | −0.8 |
| Q3 2025 | 2,614.0 thousands | −5.0 |
| Q2 2025 | 2,689.0 thousands | −1.8 |
| Q1 2025 | 2,678.0 thousands | −1.9 |
| Q4 2024 | 2,710.0 thousands | 0.2 |
| Q3 2024 | 2,751.0 thousands | 9.7 |
| Q2 2024 | 2,738.0 thousands | 8.0 |
| Q1 2024 | 2,729.0 thousands | 2.2 |
| Q4 2023 | 2,704.0 thousands | 0.4 |
| Q3 2023 | 2,508.0 thousands | −6.2 |
| Q2 2023 | 2,536.0 thousands | −8.4 |
| Q1 2023 | 2,671.0 thousands | −3.6 |
| Q4 2022 | 2,694.0 thousands | −1.4 |
| Q3 2022 | 2,673.0 thousands | −2.5 |
| Q2 2022 | 2,768.0 thousands | 2.3 |
| Q1 2022 | 2,770.0 thousands | 0.9 |
| Q4 2021 | 2,732.0 thousands | 2.7 |
| Q3 2021 | 2,742.0 thousands | −0.1 |
| Q2 2021 | 2,707.0 thousands | −6.2 |
| Q1 2021 | 2,745.0 thousands | −7.4 |
| Q4 2020 | 2,661.0 thousands | −12.0 |
| Q3 2020 | 2,746.0 thousands | −8.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EI.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EI.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```