# United Kingdom INS: LT: INC: Premiums earned: Personal and stakeholder pensions: Regular (ended 2018) ()

United Kingdom INS: LT: INC: Premiums earned: Personal and stakeholder pensions: Regular (ended 2018) () was up 72.7% year on year in Q4 2018, compared with 45.7% in Q3 2018.
The level stood at 5,335.0 £m.
That is the highest reading since the series began in Q1 2003.
Over the past ten years it has ranged from −36.2% (Q2 2013) to 72.7% (Q4 2018), averaging 6.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INSTINVEST.Q.NSA.ITEM-A2G2.MEASURE-LONGTERMINS.SECTOR-INSURANCE`
- Frequency: quarterly
- Units: £m
- Coverage: 2003-01-01 to 2018-10-01 (64 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/ins-lt-inc-premiums-earned-personal-and-stakeholder-pensions-regular

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q4 2018 | 5,335.0 £m | 72.7 |
| Q3 2018 | 6,510.0 £m | 45.7 |
| Q2 2018 | 3,266.0 £m | 67.6 |
| Q1 2018 | 4,248.0 £m | 49.7 |
| Q4 2017 | 3,089.0 £m | −18.0 |
| Q3 2017 | 4,467.0 £m | 46.4 |
| Q2 2017 | 1,949.0 £m | −26.8 |
| Q1 2017 | 2,838.0 £m | 6.4 |
| Q4 2016 | 3,769.0 £m | 39.9 |
| Q3 2016 | 3,051.0 £m | 2.8 |
| Q2 2016 | 2,661.0 £m | 2.7 |
| Q1 2016 | 2,668.0 £m | −4.7 |
| Q4 2015 | 2,695.0 £m | 10.9 |
| Q3 2015 | 2,969.0 £m | 24.6 |
| Q2 2015 | 2,590.0 £m | 11.9 |
| Q1 2015 | 2,799.0 £m | 22.0 |
| Q4 2014 | 2,430.0 £m | 5.9 |
| Q3 2014 | 2,383.0 £m | −2.8 |
| Q2 2014 | 2,315.0 £m | −3.6 |
| Q1 2014 | 2,294.0 £m | −7.6 |
| Q4 2013 | 2,295.0 £m | −28.0 |
| Q3 2013 | 2,451.0 £m | −14.7 |
| Q2 2013 | 2,401.0 £m | −36.2 |
| Q1 2013 | 2,483.0 £m | −15.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.INSTINVEST.Q.NSA.ITEM-A2G2.MEASURE-LONGTERMINS.SECTOR-INSURANCE"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.INSTINVEST.Q.NSA.ITEM-A2G2.MEASURE-LONGTERMINS.SECTOR-INSURANCE",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```