# United Kingdom Employment levels by nationality (16+) - Other Europe (not in EU) (ended 2019) ()

United Kingdom Employment levels by nationality (16+) - Other Europe (not in EU) (ended 2019) () was up 2.4% year on year in Q4 2019, compared with 18.3% in Q3 2019.
The level stood at 129.0 thousands.
That is the lowest reading since Q1 2018.
Over the past ten years it has ranged from −23.3% (Q1 2015) to 65.0% (Q1 2019), averaging 6.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-FSCE.MEASURE-LEVEL`
- Frequency: quarterly
- Units: thousands
- Coverage: 1997-01-01 to 2019-10-01 (92 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/employment-levels-by-nationality-16-other-europe-not-in-eu-ended-2019

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q4 2019 | 129.0 thousands | 2.4 |
| Q3 2019 | 129.0 thousands | 18.3 |
| Q2 2019 | 122.0 thousands | 18.4 |
| Q1 2019 | 132.0 thousands | 65.0 |
| Q4 2018 | 126.0 thousands | 32.6 |
| Q3 2018 | 109.0 thousands | 13.5 |
| Q2 2018 | 103.0 thousands | 7.3 |
| Q1 2018 | 80.00 thousands | −10.1 |
| Q4 2017 | 95.00 thousands | 6.7 |
| Q3 2017 | 96.00 thousands | 45.5 |
| Q2 2017 | 96.00 thousands | 47.7 |
| Q1 2017 | 89.00 thousands | 7.2 |
| Q4 2016 | 89.00 thousands | −3.3 |
| Q3 2016 | 66.00 thousands | −19.5 |
| Q2 2016 | 65.00 thousands | −11.0 |
| Q1 2016 | 83.00 thousands | 20.3 |
| Q4 2015 | 92.00 thousands | 29.6 |
| Q3 2015 | 82.00 thousands | 0.0 |
| Q2 2015 | 73.00 thousands | −16.1 |
| Q1 2015 | 69.00 thousands | −23.3 |
| Q4 2014 | 71.00 thousands | −19.3 |
| Q3 2014 | 82.00 thousands | 1.2 |
| Q2 2014 | 87.00 thousands | −4.4 |
| Q1 2014 | 90.00 thousands | 8.4 |

## API

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

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