# United Kingdom Employment levels by nationality (16+) - Non- national: 000s (ended 2019) ()

United Kingdom Employment levels by nationality (16+) - Non- national: 000s (ended 2019) () was up 2.6% year on year in Q4 2019, compared with 3.8% in Q3 2019.
The level stood at 3,661.0 thousands.
That is the lowest reading since Q4 2018.
Over the past ten years it has ranged from −3.7% (Q1 2010) to 11.7% (Q3 2015), averaging 4.6%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-JF6I.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-non-national-000s-ended-2019

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q4 2019 | 3,661.0 thousands | 2.6 |
| Q3 2019 | 3,600.0 thousands | 3.8 |
| Q2 2019 | 3,675.0 thousands | 4.2 |
| Q1 2019 | 3,713.0 thousands | 5.5 |
| Q4 2018 | 3,569.0 thousands | 2.0 |
| Q3 2018 | 3,467.0 thousands | −2.7 |
| Q2 2018 | 3,527.0 thousands | −0.3 |
| Q1 2018 | 3,520.0 thousands | −0.2 |
| Q4 2017 | 3,500.0 thousands | 0.8 |
| Q3 2017 | 3,564.0 thousands | 2.3 |
| Q2 2017 | 3,537.0 thousands | 2.8 |
| Q1 2017 | 3,526.0 thousands | 5.9 |
| Q4 2016 | 3,473.0 thousands | 7.3 |
| Q3 2016 | 3,484.0 thousands | 7.4 |
| Q2 2016 | 3,442.0 thousands | 7.5 |
| Q1 2016 | 3,330.0 thousands | 7.2 |
| Q4 2015 | 3,238.0 thousands | 9.0 |
| Q3 2015 | 3,243.0 thousands | 11.7 |
| Q2 2015 | 3,203.0 thousands | 9.5 |
| Q1 2015 | 3,106.0 thousands | 11.1 |
| Q4 2014 | 2,970.0 thousands | 9.2 |
| Q3 2014 | 2,904.0 thousands | 9.1 |
| Q2 2014 | 2,926.0 thousands | 8.6 |
| Q1 2014 | 2,796.0 thousands | 6.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-JF6I.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-JF6I.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```