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

United Kingdom LFS: In Employment: Information & communication: : People: Aged 16 and over: Thousands: NSA () was up 2.4% year on year in Q2 2026, compared with 7.1% in Q1 2026.
The level stood at 1,731.0 thousands.
Over the past ten years it has ranged from −6.0% (Q4 2017) to 15.8% (Q4 2019), averaging 3.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4EX.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-information-and-communication-people-aged-16-and-over

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,731.0 thousands | 2.4 |
| Q1 2026 | 1,730.0 thousands | 7.1 |
| Q4 2025 | 1,743.0 thousands | 4.6 |
| Q3 2025 | 1,679.0 thousands | 0.8 |
| Q2 2025 | 1,691.0 thousands | 2.3 |
| Q1 2025 | 1,616.0 thousands | −2.5 |
| Q4 2024 | 1,666.0 thousands | 0.4 |
| Q3 2024 | 1,665.0 thousands | −3.0 |
| Q2 2024 | 1,653.0 thousands | −4.9 |
| Q1 2024 | 1,657.0 thousands | 0.2 |
| Q4 2023 | 1,659.0 thousands | −1.4 |
| Q3 2023 | 1,717.0 thousands | −1.9 |
| Q2 2023 | 1,739.0 thousands | 5.5 |
| Q1 2023 | 1,654.0 thousands | 4.7 |
| Q4 2022 | 1,682.0 thousands | 5.4 |
| Q3 2022 | 1,751.0 thousands | 11.4 |
| Q2 2022 | 1,648.0 thousands | 8.1 |
| Q1 2022 | 1,580.0 thousands | 2.7 |
| Q4 2021 | 1,596.0 thousands | 4.0 |
| Q3 2021 | 1,572.0 thousands | 3.2 |
| Q2 2021 | 1,524.0 thousands | 6.2 |
| Q1 2021 | 1,539.0 thousands | 2.5 |
| Q4 2020 | 1,534.0 thousands | 2.7 |
| Q3 2020 | 1,523.0 thousands | 8.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EX.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EX.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```