# United Kingdom LFS Experimental: In employment: : All aged 16+: Thousands: Quarterly Change: SA (ended 2023) ()

United Kingdom LFS Experimental: In employment: : All aged 16+: Thousands: Quarterly Change: SA (ended 2023) () was up 170.4% year on year in October 2023, compared with 103.7% in September 2023.
The level stood at 73.00 thousands.
Over the past ten years it has ranged from −1,510.7% (Apr 2020) to 3,280.0% (Jan 2023), averaging 1.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.M.SA.ITEM-S2PZ.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-in-employment-all-aged-16-thousands-quarterly-change

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2023 | 73.00 thousands | 170.4 |
| September 2023 | 55.00 thousands | 103.7 |
| August 2023 | 56.00 thousands | — |
| July 2023 | −78.00 thousands | — |
| June 2023 | −130.0 thousands | −425.0 |
| May 2023 | −66.00 thousands | −141.2 |
| April 2023 | 102.0 thousands | −65.5 |
| March 2023 | 250.0 thousands | 41.2 |
| February 2023 | 182.0 thousands | 180.0 |
| January 2023 | 169.0 thousands | 3,280.0 |
| December 2022 | 65.00 thousands | — |
| November 2022 | 74.00 thousands | — |
| October 2022 | 27.00 thousands | −62.5 |
| September 2022 | 27.00 thousands | −84.4 |
| August 2022 | −52.00 thousands | −118.0 |
| July 2022 | −109.0 thousands | −136.6 |
| June 2022 | 40.00 thousands | −83.0 |
| May 2022 | 160.0 thousands | 15.9 |
| April 2022 | 296.0 thousands | 1,133.3 |
| March 2022 | 177.0 thousands | 268.8 |
| February 2022 | 65.00 thousands | 1,200.0 |
| January 2022 | 5.00 thousands | — |
| December 2021 | −53.00 thousands | — |
| November 2021 | −24.00 thousands | — |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.M.SA.ITEM-S2PZ.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.M.SA.ITEM-S2PZ.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```