# United Kingdom LFS: In employment: : All: Aged 16 and over: Thousands: NSA ()

United Kingdom LFS: In employment: : All: Aged 16 and over: Thousands: NSA () was up 1.1% year on year in July 2026, compared with 0.7% in June 2026.
The level stood at 34,622 thousands.
Over the past ten years it has ranged from −2.5% (Dec 2020) to 2.3% (Apr 2025), averaging 0.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.NSA.ITEM-MGTM.MEASURE-LEVEL`
- Frequency: monthly
- Units: thousands
- Coverage: 1984-04-01 to 2026-07-01 (420 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-all-aged-16-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 34,622 thousands | 1.1 |
| June 2026 | 34,487 thousands | 0.7 |
| May 2026 | 34,426 thousands | 0.7 |
| April 2026 | 34,454 thousands | 1.0 |
| March 2026 | 34,411 thousands | 1.1 |
| February 2026 | 34,369 thousands | 1.1 |
| January 2026 | 34,270 thousands | 1.0 |
| December 2025 | 34,277 thousands | 1.1 |
| November 2025 | 34,275 thousands | 1.1 |
| October 2025 | 34,347 thousands | 1.5 |
| September 2025 | 34,261 thousands | 1.3 |
| August 2025 | 34,216 thousands | 1.2 |
| July 2025 | 34,261 thousands | 1.4 |
| June 2025 | 34,252 thousands | 2.0 |
| May 2025 | 34,170 thousands | 2.3 |
| April 2025 | 34,116 thousands | 2.3 |
| March 2025 | 34,033 thousands | 2.0 |
| February 2025 | 33,979 thousands | 1.9 |
| January 2025 | 33,947 thousands | 2.1 |
| December 2024 | 33,898 thousands | 1.8 |
| November 2024 | 33,896 thousands | 1.4 |
| October 2024 | 33,823 thousands | 1.3 |
| September 2024 | 33,825 thousands | 1.2 |
| August 2024 | 33,804 thousands | 1.3 |

## API

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

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