Liechtenstein

population

36,925

WB, 2012

Population density

230.8p/KM2

WB, 2012

Gross Domestic Product (GDP) - M. USD

4,826.168

WB, 2012

Capital stock - M. USD

18,837

UNISDR, 2015

Social expenditure - M. USD

102

WB, 2012

Total Reserves - M. USD

0.000

WB, 2012

Basic Country Statistics and Indicators (2014)

What's this?
- Population, GDP, GFCF, Gross savings, Total reserves (World Bank Development indicators. http://data.worldbank.org/ More information can be found in "Indicators definitions and sources".)
- Capital stock (Global Exposure Database 2014. Di Bono, 2014)
- Social expenditure (International Labour Organisation, ILO: Total Social Protection expenditure, 2012; Public Health Care expenditure, 2012; World Bank Development indicators, Public Education expenditure, 2011)
- Rule of law, Government effectiveness, Voice and accountability, Control of corruption (World Bank Governance indicators. http://data.worldbank.org/)
- Pop living in slums (Indicadores de los Objetivos del Desarrollo del Milenio http://mdgs.un.org/unsd/mdg/SeriesDetail.aspx?srid=710)
- Ecological footprint (Global Footprint Network www.footprintnetwork.org)
- Environmental performance index, Forest change (Environmental Performance Index, Yale Center for Environmental Law and Policy, Yale University and Center for International Earth Science Information Network (CIESIN); Columbia University http://epi.yale.edu)
Population people 36,925
Urban % Total population 14.329
Rural % Total population 85.671
Urban population growth % Annual 0.474
Population density People / km2 230.8
GDP (Gross Domestic Product) Million US$ 4,826.168
GDP per capita Million US$ 134,617.380
Capital stock Million US$ 18,837
GFCF (Gross Fixed Capital Formation) Million US$ 0.000
Social Expenditure Million US$ 102
Gross Savings Million US$ 0.000
Total reserves Million US$ 0.000

Probabilistic risk results

Average Annual Loss (AAL) by hazard

What's this?
The Average Annual Loss (AAL) is the expected loss per annum associated to the occurrence of future perils assuming a very long observation timeframe. It considers the damage caused on the exposed elements by small, moderate and extreme events and results a useful and robust metric for risk ranking and comparisons.
Hazard
 
Absolute
[Million US$]
Capital
stock [%]
GFCF
[%]
Social
exp [%]
Total
Reserves [%]
Gross
Savings [%]
Earthquake 9.80 0.052 0.000 9.617 0.000 0.000
Multi-Hazard 9.80 0.052 0.000 9.617 0.000 0.000

Hazard contribution to AAL

Probable Maximum Loss (PML)

What's this?
The Probable Maximum Loss (PML) is a risk metric that represents the maximum loss that could be expected, on average, within a given number of years. PML is widely used to establish limits related to the size of reserves that, for example, insurance companies or a government should have available to buffer losses: the higher the return period, the higher the expected loss. PML always have associated a mean return period.

Mean return period in years - Values for hazard are in million US$

Hazard
 
20 50 100 250 500 1000 1500
Earthquake 13 34 86 297 696 1,405 1,961
Wind 0 0 0 0 0 0 0
Storm Surge 0 0 0 0 0 0 0
Tsunami 0 0 0 0 0 0 0

INFORM 2015 Risk Index

What's this?
The INFORM model adopts the three aspects of vulnerability reflected in the UNISDR definition. The aspects of physical exposure and physical vulnerability are integrated in the hazard & exposure dimension, the aspect of fragility of the socio-economic system becomes INFORM's vulnerability dimension while lack of resilience to cope and recover is treated under the lack of coping capacity dimension.
INFORM 2015 risk index map

  Value Rank Trend
INFORM 1.29 175 EQUAL
Hazard 1.01 162 EQUAL
Vulnerability 0.93 184 EQUAL
Coping Capacity 2.29 172 EQUAL