# United Kingdom INS: GEN: EXP: Other expenditure: & overseas (ended 2018) ()

United Kingdom INS: GEN: EXP: Other expenditure: & overseas (ended 2018) () was 373.0 £m in 2018, down 53.1% from 2017.
That is the lowest reading since 2013.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.INSTINVEST.A.NSA.ITEM-J9CV.MEASURE-GENERAL.SECTOR-INSURANCE`
- Frequency: annual
- Units: £m
- Coverage: 2000-01-01 to 2018-01-01 (19 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/ins-gen-exp-other-expenditure-and-overseas-ended-2018

## Recent data

| Period | Value |
|---|---:|
| 2018 | 373.0 £m |
| 2017 | 796.0 £m |
| 2016 | 1,074.0 £m |
| 2015 | 1,415.0 £m |
| 2014 | 1,985.0 £m |
| 2013 | 208.0 £m |
| 2012 | 327.0 £m |
| 2011 | 68.00 £m |
| 2010 | 1,609.0 £m |
| 2009 | 1,394.0 £m |
| 2008 | 1,659.0 £m |
| 2007 | 960.0 £m |
| 2006 | 1,270.0 £m |
| 2005 | 1,786.0 £m |
| 2004 | 180.0 £m |
| 2003 | 625.0 £m |
| 2002 | 627.0 £m |
| 2001 | 280.0 £m |
| 2000 | 99.00 £m |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.INSTINVEST.A.NSA.ITEM-J9CV.MEASURE-GENERAL.SECTOR-INSURANCE"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.INSTINVEST.A.NSA.ITEM-J9CV.MEASURE-GENERAL.SECTOR-INSURANCE",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```