# United Kingdom INS: LT: INC: Premiums earned: Occupational pensions: Defined benefit: Regular (ended 2017) ()

United Kingdom INS: LT: INC: Premiums earned: Occupational pensions: Defined benefit: Regular (ended 2017) () was 163.0 £m in 2017, up 7.9% from 2016.
That is the highest reading since 2015.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INSTINVEST.A.NSA.ITEM-SFTF.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-defined-benefit

## Recent data

| Period | Value |
|---|---:|
| 2017 | 163.0 £m |
| 2016 | 151.0 £m |
| 2015 | 178.0 £m |
| 2014 | 114.0 £m |
| 2013 | 108.0 £m |
| 2012 | 212.0 £m |
| 2011 | 154.0 £m |
| 2010 | 129.0 £m |
| 2009 | 216.0 £m |
| 2008 | 667.0 £m |
| 2007 | 487.0 £m |
| 2006 | 498.0 £m |
| 2005 | 179.0 £m |
| 2004 | 210.0 £m |

## API

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

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