# United Kingdom INS: LT: INC: Premiums earned: Occupational pensions: Hybrid: Total (ended 2017) ()

United Kingdom INS: LT: INC: Premiums earned: Occupational pensions: Hybrid: Total (ended 2017) () was 0.00 £m in 2017, down from 2016.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INSTINVEST.A.NSA.ITEM-SFUA.MEASURE-LONGTERMINS.SECTOR-INSURANCE`
- Frequency: annual
- Units: £m
- Coverage: 2004-01-01 to 2017-01-01 (14 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/ins-lt-inc-premiums-earned-occupational-pensions-hybrid-total-ended-2017

## Recent data

| Period | Value |
|---|---:|
| 2017 | 0.00 £m |
| 2016 | 0.00 £m |
| 2015 | 0.00 £m |
| 2014 | 147.0 £m |
| 2013 | 33.00 £m |
| 2012 | 23.00 £m |
| 2011 | 24.00 £m |
| 2010 | 31.00 £m |
| 2009 | 35.00 £m |
| 2008 | 62.00 £m |
| 2007 | 2,432.0 £m |
| 2006 | 6,600.0 £m |
| 2005 | 4,247.0 £m |
| 2004 | 3,782.0 £m |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.INSTINVEST.A.NSA.ITEM-SFUA.MEASURE-LONGTERMINS.SECTOR-INSURANCE"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.INSTINVEST.A.NSA.ITEM-SFUA.MEASURE-LONGTERMINS.SECTOR-INSURANCE",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```