# United Kingdom Employment levels by country of birth (16+) - Total non-EU (ended 2019) ()

United Kingdom Employment levels by country of birth (16+) - Total non-EU (ended 2019) () was up 0.9% year on year in Q4 2019, compared with 5.1% in Q3 2019.
The level stood at 3,379.0 thousands.
That is the lowest reading since Q3 2018.
Over the past ten years it has ranged from −2.9% (Q4 2009) to 8.2% (Q4 2016), averaging 3.0%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-EQ4S.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-country-of-birth-16-total-non-eu-ended-2019

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q4 2019 | 3,379.0 thousands | 0.9 |
| Q3 2019 | 3,408.0 thousands | 5.1 |
| Q2 2019 | 3,346.0 thousands | 3.0 |
| Q1 2019 | 3,386.0 thousands | 4.1 |
| Q4 2018 | 3,349.0 thousands | 5.0 |
| Q3 2018 | 3,244.0 thousands | −1.1 |
| Q2 2018 | 3,248.0 thousands | −1.1 |
| Q1 2018 | 3,253.0 thousands | −0.2 |
| Q4 2017 | 3,190.0 thousands | −1.7 |
| Q3 2017 | 3,279.0 thousands | 2.4 |
| Q2 2017 | 3,283.0 thousands | 6.9 |
| Q1 2017 | 3,259.0 thousands | 7.5 |
| Q4 2016 | 3,244.0 thousands | 8.2 |
| Q3 2016 | 3,202.0 thousands | 6.7 |
| Q2 2016 | 3,071.0 thousands | 2.8 |
| Q1 2016 | 3,032.0 thousands | 2.7 |
| Q4 2015 | 2,999.0 thousands | 3.6 |
| Q3 2015 | 3,002.0 thousands | 2.1 |
| Q2 2015 | 2,988.0 thousands | 1.5 |
| Q1 2015 | 2,951.0 thousands | 3.2 |
| Q4 2014 | 2,895.0 thousands | 3.4 |
| Q3 2014 | 2,941.0 thousands | 5.0 |
| Q2 2014 | 2,945.0 thousands | 5.5 |
| Q1 2014 | 2,859.0 thousands | 4.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-EQ4S.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-EQ4S.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```