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

United Kingdom INS: LT: INC: Premiums earned: Occupational pensions: Defined benefit: Single (ended 2017) () was 42,368 £m in 2017, up 30.3% from 2016.
That is the highest reading since the series began in 2004.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INSTINVEST.A.NSA.ITEM-SFTC.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-single

## Recent data

| Period | Value |
|---|---:|
| 2017 | 42,368 £m |
| 2016 | 32,525 £m |
| 2015 | 40,177 £m |
| 2014 | 37,971 £m |
| 2013 | 15,616 £m |
| 2012 | 17,098 £m |
| 2011 | 12,777 £m |
| 2010 | 14,633 £m |
| 2009 | 16,053 £m |
| 2008 | 15,239 £m |
| 2007 | 13,186 £m |
| 2006 | 25,961 £m |
| 2005 | 28,662 £m |
| 2004 | 20,989 £m |

## API

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

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