Equatorial Guinea



WB, 2012

Population density


WB, 2012

Gross Domestic Product (GDP) - M. USD


WB, 2012

Capital stock - M. USD


UNISDR, 2015

Social expenditure - M. USD


WB, 2012

Total Reserves - M. USD


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 757,014
Urban % Total population 39.603
Rural % Total population 60.397
Urban population growth % Annual 3.129
Population density People / km2 27.0
GDP (Gross Domestic Product) Million US$ 15,573.546
GDP per capita Million US$ 20,581.606
Capital stock Million US$ 20,061
GFCF (Gross Fixed Capital Formation) Million US$ 9,083.799
Social Expenditure Million US$ 701
Gross Savings Million US$ -339.777
Total reserves Million US$ 4,396.979

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.
[Million US$]
stock [%]
exp [%]
Reserves [%]
Savings [%]
Earthquake 2.53 0.013 0.028 0.361 0.058 -0.745
Flood 19.79 0.099 0.218 2.823 0.450 -5.824
Multi-Hazard 22.32 0.111 0.246 3.184 0.508 -6.569

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$

20 50 100 250 500 1000 1500
Earthquake 5 13 30 105 247 485 663
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

Exposure to volcano

Number of volcanoes 3
Total population living within 30km from a volcano 154,524
% of population living with 30km distance from a volcano 23

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
Hazard 0.55 174 EQUAL
Vulnerability 3.36 86 EQUAL
Coping Capacity 7.55 19 DOWN