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

United Kingdom LFS: Employment: Total ISIC Rev. 4: : People: Aged 15 and over: Thousands: NSA () was up 0.8% year on year in Q2 2026, compared with 1.2% in Q1 2026.
The level stood at 34,332 thousands.
That is the lowest reading since Q2 2024.
Over the past ten years it has ranged from −2.3% (Q4 2020) to 2.3% (Q2 2016), averaging 0.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-J659.MEASURE-LEVEL`
- Frequency: quarterly
- Units: thousands
- Coverage: 2001-01-01 to 2026-04-01 (102 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-employment-total-isic-rev-4-people-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 34,332 thousands | 0.8 |
| Q1 2026 | 34,269 thousands | 1.2 |
| Q4 2025 | 34,159 thousands | 1.1 |
| Q3 2025 | 34,133 thousands | 1.3 |
| Q2 2025 | 34,073 thousands | 2.3 |
| Q1 2025 | 33,879 thousands | 1.9 |
| Q4 2024 | 33,774 thousands | 1.3 |
| Q3 2024 | 33,710 thousands | 1.3 |
| Q2 2024 | 33,318 thousands | 0.5 |
| Q1 2024 | 33,251 thousands | 0.2 |
| Q4 2023 | 33,340 thousands | 1.0 |
| Q3 2023 | 33,290 thousands | 1.3 |
| Q2 2023 | 33,159 thousands | 1.0 |
| Q1 2023 | 33,185 thousands | 1.6 |
| Q4 2022 | 32,996 thousands | 1.0 |
| Q3 2022 | 32,853 thousands | 0.6 |
| Q2 2022 | 32,818 thousands | 1.6 |
| Q1 2022 | 32,676 thousands | 1.3 |
| Q4 2021 | 32,669 thousands | 1.3 |
| Q3 2021 | 32,666 thousands | 1.0 |
| Q2 2021 | 32,306 thousands | −0.4 |
| Q1 2021 | 32,260 thousands | −1.8 |
| Q4 2020 | 32,246 thousands | −2.3 |
| Q3 2020 | 32,330 thousands | −1.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-J659.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-J659.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```