# United Kingdom LFS: Population aged 16 and over: London: All: Thousands: NSA ()

United Kingdom LFS: Population aged 16 and over: London: All: Thousands: NSA () was up 0.9% year on year in July 2026, compared with 1.0% in June 2026.
The level stood at 7,443.0 thousands.
That is the lowest reading since September 2022.
Over the past ten years it has ranged from −0.3% (Jun 2021) to 1.5% (Jun 2018), averaging 0.7%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 7,443.0 thousands | 0.9 |
| June 2026 | 7,438.0 thousands | 1.0 |
| May 2026 | 7,432.0 thousands | 1.0 |
| April 2026 | 7,426.0 thousands | 1.0 |
| March 2026 | 7,420.0 thousands | 1.0 |
| February 2026 | 7,414.0 thousands | 1.0 |
| January 2026 | 7,409.0 thousands | 1.0 |
| December 2025 | 7,403.0 thousands | 1.0 |
| November 2025 | 7,397.0 thousands | 1.0 |
| October 2025 | 7,391.0 thousands | 1.0 |
| September 2025 | 7,385.0 thousands | 1.1 |
| August 2025 | 7,379.0 thousands | 1.1 |
| July 2025 | 7,373.0 thousands | 1.1 |
| June 2025 | 7,368.0 thousands | 1.1 |
| May 2025 | 7,361.0 thousands | 1.1 |
| April 2025 | 7,354.0 thousands | 1.1 |
| March 2025 | 7,348.0 thousands | 1.1 |
| February 2025 | 7,341.0 thousands | 1.1 |
| January 2025 | 7,334.0 thousands | 1.1 |
| December 2024 | 7,328.0 thousands | 1.2 |
| November 2024 | 7,321.0 thousands | 1.2 |
| October 2024 | 7,315.0 thousands | 1.2 |
| September 2024 | 7,308.0 thousands | 1.2 |
| August 2024 | 7,301.0 thousands | 1.2 |

## API

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

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