|Urban||% Total population||21.421|
|Rural||% Total population||78.579|
|Urban population growth||% Annual||4.251|
|Population density||People / km2||20.1|
|GDP (Gross Domestic Product)||Million US$||1,096.397|
|GDP per capita||US$||1,953.56|
|Capital stock||Million US$||3,693|
|GFCF (Gross Fixed Capital Formation)||Million US$||146.605|
|Social Expenditure||Million US$||199|
|Gross Savings||Million US$||47.118|
|Total reserves||Million US$||491.518|
All scale disasters without criteria.
|8-year moving average 2005-2013||Extensive [%]||Intensive [%]|
|Combined economic loss (US$)||8,224,457.11||23.80||76.20|
CRED EM-DAT (Feb. 2015) : The OFDA/CRED - International Disaster Database www.emdat.be Université catholique de Louvain Brussels - Belgium.
|10-year moving average 2005-2014|
|Economic loss (,000 US$)||2,400|
|Number of volcanoes||8|
|Total population living within 30km from a volcano||98,612|
|% of population living with 30km distance from a volcano||17|
Extensive risk is used to describe the risk of low-severity, high-frequency disasters, mainly but not exclusively associated with highly localized hazards. Intensive risk is used to describe the risk of high-severity, mid to low-frequency disasters, mainly associated with major hazards.
AAL: The Average Annual Loss 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. AAL Flood results are provisional. These results give an overview of the risk associated with river flooding. Factors other than the depth of the water also have a considerable influence on loss, which means that there is greater uncertainty compared with other hazards.
Risk and development implications index. This index is useful to provide a ranking of the countries based on the ratio of the expected Average Annual Loss (AAL) with relation to a set of relevant macroeconomic, financial, and social development variables. It attempts to reveal the weight of the AAL with respect to the social expenditure, the capital formation (domestic investment) and reserves (financial capacity), and the produced capital or capital stock (assets at risk) and savings (treasury) of each country. It reflects, in adverse conditions, growth and social constraints for the country as a result of potential future disasters. The fiscal portfolio is composed by the government buildings, public education and health buildings, and low income residential private buildings.
PML: The Probable Maximum Loss 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 of 100, 250, 500, 1000 and 1500 years means the 5%, 2%, 1%, 0.5% and 0.3% probability respectively of exceeding those losses in 5 years.
UNISDR Global Risk Assessment 2015: GVM and IAVCEI, UNEP, CIMNE and associates and INGENIAR, FEWS NET and CIMA Foundation.
World Bank Development indicators. http://data.worldbank.org/
More information can be found in "Indicators definitions and sources".
International Labour Organisation, ILO: Total Social Protection expenditure (2012), Public Health Care expenditure (2012), World Bank Development indicators, Public Education expenditure (2011)
Global Footprint Network: http://www.footprintnetwork.org
EM-DAT (Feb. 2015) : The OFDA/CRED - International Disaster Database http://www.emdat.be Université catholique de Louvain Brussels - Belgium
Index for Risk Management 2015 (INFORM 2015): Inter-Agency Standing Committee Task Team for Preparedness and Resilience and the European Commission, http://www.inform-index.org