# United Kingdom LFS Experimental: Economically inactive: : All aged 16-64: Thousands: Annual Change: SA (ended 2023) ()

United Kingdom LFS Experimental: Economically inactive: : All aged 16-64: Thousands: Annual Change: SA (ended 2023) () was −268.0 thousands in October 2023, down 30.00 from September 2023 and down 341.4% from a year earlier.
Over the past ten years it has ranged from −308.0 thousands (Jun 2023) to 412.0 thousands (Jan 2021), averaging −36.15 thousands.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2QI.MEASURE-LEVEL`
- Frequency: monthly
- Units: thousands
- Coverage: 1992-04-01 to 2023-10-01 (379 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-experimental-economically-inactive-all-aged-16-64-thousands-annual

## Recent data

| Period | Value |
|---|---:|
| October 2023 | −268.0 thousands |
| September 2023 | −238.0 thousands |
| August 2023 | −272.0 thousands |
| July 2023 | −278.0 thousands |
| June 2023 | −308.0 thousands |
| May 2023 | −198.0 thousands |
| April 2023 | −97.00 thousands |
| March 2023 | −99.00 thousands |
| February 2023 | −134.0 thousands |
| January 2023 | −100.0 thousands |
| December 2022 | 2.00 thousands |
| November 2022 | 68.00 thousands |
| October 2022 | 111.0 thousands |
| September 2022 | 123.0 thousands |
| August 2022 | 198.0 thousands |
| July 2022 | 226.0 thousands |
| June 2022 | 246.0 thousands |
| May 2022 | 127.0 thousands |
| April 2022 | −83.00 thousands |
| March 2022 | −24.00 thousands |
| February 2022 | 34.00 thousands |
| January 2022 | 110.0 thousands |
| December 2021 | 48.00 thousands |
| November 2021 | 45.00 thousands |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2QI.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2QI.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```