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

United Kingdom LFS Experimental: Economically inactive: : All aged 16-64: Thousands: Quarterly Change: SA (ended 2023) () was −45.00 thousands in October 2023, down 39.00 from September 2023 and up 10.00 from a year earlier.
Over the past ten years it has ranged from −175.0 thousands (Dec 2019) to 252.0 thousands (Jul 2022), averaging −8.59 thousands.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2Q6.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

## Recent data

| Period | Value |
|---|---:|
| October 2023 | −45.00 thousands |
| September 2023 | −6.00 thousands |
| August 2023 | 33.00 thousands |
| July 2023 | 71.00 thousands |
| June 2023 | −14.00 thousands |
| May 2023 | −38.00 thousands |
| April 2023 | −141.0 thousands |
| March 2023 | −140.0 thousands |
| February 2023 | −156.0 thousands |
| January 2023 | −153.0 thousands |
| December 2022 | −77.00 thousands |
| November 2022 | −113.0 thousands |
| October 2022 | −55.00 thousands |
| September 2022 | −76.00 thousands |
| August 2022 | 108.0 thousands |
| July 2022 | 252.0 thousands |
| June 2022 | 194.0 thousands |
| May 2022 | 26.00 thousands |
| April 2022 | −144.0 thousands |
| March 2022 | −39.00 thousands |
| February 2022 | 47.00 thousands |
| January 2022 | 59.00 thousands |
| December 2021 | 44.00 thousands |
| November 2021 | 17.00 thousands |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2Q6.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.INACTIVE.M.SA.AGE-16-64.ITEM-S2Q6.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```