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

United Kingdom Employment levels by country of birth (16+) - Total Asia (ended 2019) () was down 1.5% year on year in Q4 2019, compared with 3.6% in Q3 2019.
The level stood at 1,544.0 thousands.
That is the lowest reading since Q3 2018.
Over the past ten years it has ranged from −5.3% (Q3 2018) to 9.9% (Q2 2011), averaging 2.8%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-FSC6.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-asia-ended-2019

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q4 2019 | 1,544.0 thousands | −1.5 |
| Q3 2019 | 1,532.0 thousands | 3.6 |
| Q2 2019 | 1,504.0 thousands | −0.3 |
| Q1 2019 | 1,536.0 thousands | 0.9 |
| Q4 2018 | 1,568.0 thousands | 5.1 |
| Q3 2018 | 1,479.0 thousands | −5.3 |
| Q2 2018 | 1,508.0 thousands | −1.2 |
| Q1 2018 | 1,523.0 thousands | −0.6 |
| Q4 2017 | 1,492.0 thousands | −2.4 |
| Q3 2017 | 1,561.0 thousands | 0.06 |
| Q2 2017 | 1,527.0 thousands | 2.9 |
| Q1 2017 | 1,532.0 thousands | 4.5 |
| Q4 2016 | 1,529.0 thousands | 5.6 |
| Q3 2016 | 1,560.0 thousands | 6.6 |
| Q2 2016 | 1,484.0 thousands | 3.8 |
| Q1 2016 | 1,466.0 thousands | 6.3 |
| Q4 2015 | 1,448.0 thousands | 2.4 |
| Q3 2015 | 1,464.0 thousands | 1.2 |
| Q2 2015 | 1,430.0 thousands | −0.7 |
| Q1 2015 | 1,379.0 thousands | −3.0 |
| Q4 2014 | 1,414.0 thousands | 2.8 |
| Q3 2014 | 1,447.0 thousands | 4.0 |
| Q2 2014 | 1,440.0 thousands | 9.2 |
| Q1 2014 | 1,421.0 thousands | 9.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-FSC6.MEASURE-LEVEL"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-FSC6.MEASURE-LEVEL",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```