Poland

population

38,530,725

WB, 2012

Population density

125.8p/KM2

WB, 2012

Gross Domestic Product (GDP)

517,542.808

WB, 2012

Capital stock - M. USD

1,614,716

WB, 2012

Social expenditure - M. USD

138,159

WB, 2012

Total Reserves - M. USD

102,235.906

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 38,530,725
Urban % Total population 60.617
Rural % Total population 39.383
Urban population growth % Annual -0.130
Population density People / km2 125.8
GDP (Gross Domestic Product) US$ 517,542.808
GDP per capita US$ 13,647.965
Capital stock Million US$ 1,614,716
GFCF (Gross Fixed Capital Formation) Million US$ 95,305.575
Social Expenditure Million US$ 138,159
Gross Savings Million US$ 88,936.943
Total reserves Million US$ 102,235.906

Internationally Reported Losses 1990 - 2014 EMDAT

What's this?
For a disaster to be entered into the database at least one of the following criteria must be fulfilled:
- Ten (10) or more people reported killed.
- Hundred (100) or more people reported affected.
- Declaration of a state of emergency.
- Call for international assistance.

CRED EM-DAT (Feb. 2015) : The OFDA/CRED - International Disaster Database www.emdat.be Université catholique de Louvain Brussels - Belgium.

Frequency

Mortality

Economic issues

10-year moving average 2005-2014
Events 2
Deaths 99
Economic loss (,000 US$) 333,590

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 188.81 0.012 0.198 0.137 0.185 0.212
Flood 621.52 0.038 0.652 0.450 0.608 0.699
Multi-Hazard 810.33 0.050 0.850 0.587 0.793 0.911

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 696 1,425 2,432 4,773 7,684 11,923 15,105
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

HFA Progress (Cycle 2013-2015)

What's this?
National government self-assessment on the implementation of disaster risk reduction actions and establishment of baselines on levels of progress achieved in implementing the five priorities of the Hyogo Framework for Action:
HFA Priority 1 - Making disaster risk reduction a policy priority, institutional strengthening;
HFA Priority 2 - Risk assessment and early warning systems;
HFA Priority 3 - Education, information and public awareness;
HFA Priority 4 - Reducing underlying risk factors;
HFA Priority 5 - Preparedness for effective response.

Levels:
1 - Minor progress with few signs of forward action in plans or policy;
2 - Some progress, but without systematic policy and/ or institutional commitment;
3 - Institutional commitment attained, but achievements are neither comprehensive nor substantial;
4 - Substantial achievement attained but with recognized limitations in key aspects, such as financial resources and/ or operational capacities;
5 - Comprehensive achievement with sustained commitment and capacities at all levels.
1 2 3 4 5
Priority 1 Core indicator 1
Core indicator 2
Core indicator 3
Core indicator 4
Priority 2 Core indicator 1
Core indicator 2
Core indicator 3
Core indicator 4
Priority 3 Core indicator 1
Core indicator 2
Core indicator 3
Core indicator 4
Priority 4 Core indicator 1
Core indicator 2
Core indicator 3
Core indicator 4
Core indicator 5
Core indicator 6
Priority 5 Core indicator 1
Core indicator 2
Core indicator 3
Core indicator 4
1 2 3 4 5

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 2.26 144 EQUAL
Hazard 1.77 135 EQUAL
Vulnerability 1.95 138 EQUAL
Coping Capacity 3.31 145 EQUAL