# United Kingdom LFS: Population aged 16 and over: Yorks & the Humber: All: Thousands: NSA ()

United Kingdom LFS: Population aged 16 and over: Yorks & the Humber: All: Thousands: NSA () was up 1.0% year on year in July 2026, compared with 1.0% in June 2026.
The level stood at 4,666.0 thousands.
That is the lowest reading since April 2022.
Over the past ten years it has ranged from 0.2% (Jan 2020) to 1.3% (Jul 2023), averaging 0.7%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMPLOY.M.NSA.MEASURE-LEVEL.REGION-YORKSHIRE`
- 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-yorks-and-the-humber-all-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| July 2026 | 4,666.0 thousands | 1.0 |
| June 2026 | 4,662.0 thousands | 1.0 |
| May 2026 | 4,658.0 thousands | 1.0 |
| April 2026 | 4,654.0 thousands | 1.0 |
| March 2026 | 4,651.0 thousands | 1.0 |
| February 2026 | 4,647.0 thousands | 1.1 |
| January 2026 | 4,643.0 thousands | 1.1 |
| December 2025 | 4,639.0 thousands | 1.1 |
| November 2025 | 4,635.0 thousands | 1.1 |
| October 2025 | 4,631.0 thousands | 1.1 |
| September 2025 | 4,627.0 thousands | 1.1 |
| August 2025 | 4,623.0 thousands | 1.1 |
| July 2025 | 4,619.0 thousands | 1.1 |
| June 2025 | 4,615.0 thousands | 1.1 |
| May 2025 | 4,611.0 thousands | 1.1 |
| April 2025 | 4,607.0 thousands | 1.2 |
| March 2025 | 4,603.0 thousands | 1.2 |
| February 2025 | 4,598.0 thousands | 1.2 |
| January 2025 | 4,594.0 thousands | 1.2 |
| December 2024 | 4,590.0 thousands | 1.2 |
| November 2024 | 4,585.0 thousands | 1.2 |
| October 2024 | 4,581.0 thousands | 1.2 |
| September 2024 | 4,577.0 thousands | 1.3 |
| August 2024 | 4,573.0 thousands | 1.3 |

## API

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

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