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

United Kingdom LFS Experimental: Economically inactive: : All aged 16-64: Thousands: SA (ended 2023) () was 8,677.0 thousands in October 2023, down 0.2% from September 2023 and down 3.0% from a year earlier.
Over the past ten years it has ranged from 8,370.0 thousands (Jan 2020) to 9,093.0 thousands (Oct 2014), averaging 8,813.1 thousands.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2PS.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-sa

## Recent data

| Period | Value |
|---|---:|
| October 2023 | 8,677.0 thousands |
| September 2023 | 8,697.0 thousands |
| August 2023 | 8,726.0 thousands |
| July 2023 | 8,721.0 thousands |
| June 2023 | 8,703.0 thousands |
| May 2023 | 8,693.0 thousands |
| April 2023 | 8,651.0 thousands |
| March 2023 | 8,718.0 thousands |
| February 2023 | 8,730.0 thousands |
| January 2023 | 8,792.0 thousands |
| December 2022 | 8,858.0 thousands |
| November 2022 | 8,886.0 thousands |
| October 2022 | 8,945.0 thousands |
| September 2022 | 8,935.0 thousands |
| August 2022 | 8,999.0 thousands |
| July 2022 | 8,999.0 thousands |
| June 2022 | 9,011.0 thousands |
| May 2022 | 8,891.0 thousands |
| April 2022 | 8,748.0 thousands |
| March 2022 | 8,817.0 thousands |
| February 2022 | 8,865.0 thousands |
| January 2022 | 8,892.0 thousands |
| December 2021 | 8,856.0 thousands |
| November 2021 | 8,818.0 thousands |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2PS.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2PS.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```