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

United Kingdom LFS: In Employment: Education: : People: Aged 16 and over: Thousands: NSA () was up 1.6% year on year in Q2 2026, compared with 3.2% in Q1 2026.
The level stood at 3,696.0 thousands.
That is the lowest reading since Q4 2024.
Over the past ten years it has ranged from −2.8% (Q3 2023) to 8.3% (Q3 2024), averaging 1.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4FH.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-education-people-aged-16-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 3,696.0 thousands | 1.6 |
| Q1 2026 | 3,697.0 thousands | 3.2 |
| Q4 2025 | 3,636.0 thousands | 3.6 |
| Q3 2025 | 3,705.0 thousands | 3.0 |
| Q2 2025 | 3,638.0 thousands | 2.8 |
| Q1 2025 | 3,584.0 thousands | 2.9 |
| Q4 2024 | 3,511.0 thousands | 1.5 |
| Q3 2024 | 3,598.0 thousands | 8.3 |
| Q2 2024 | 3,538.0 thousands | 5.4 |
| Q1 2024 | 3,482.0 thousands | 0.4 |
| Q4 2023 | 3,458.0 thousands | −0.9 |
| Q3 2023 | 3,321.0 thousands | −2.8 |
| Q2 2023 | 3,357.0 thousands | −2.2 |
| Q1 2023 | 3,469.0 thousands | 1.1 |
| Q4 2022 | 3,488.0 thousands | −0.5 |
| Q3 2022 | 3,418.0 thousands | 0.3 |
| Q2 2022 | 3,431.0 thousands | −0.4 |
| Q1 2022 | 3,432.0 thousands | −2.4 |
| Q4 2021 | 3,506.0 thousands | 0.0 |
| Q3 2021 | 3,408.0 thousands | −1.2 |
| Q2 2021 | 3,444.0 thousands | 0.3 |
| Q1 2021 | 3,516.0 thousands | 1.9 |
| Q4 2020 | 3,506.0 thousands | 1.3 |
| Q3 2020 | 3,449.0 thousands | 0.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4FH.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4FH.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```