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Confidence shows the level of coni dence that the research team attributes to the indicator, based on a multi-point assessment. Judgements are made in relation to the set of indicators that make up the Monitor assessment only; so, for example, the research team has more coni dence in indicators labelled "Robust" than in indicators labelled "Speculative". Some experts may however consider the robust indicators to still possess inadequate coni dence, or speculative indicators to exceed simple speculation. A 3-point scale is used to evaluate whether each criterion reviewed contributes or detracts from the overall level of coni dence. Confidence shows the level of coni dence that the research team attributes to the indicator, based on a multi-point assessment. Judgements are made in relation to the set of indicators that make up the Monitor assessment only; so, for example, the research team has more coni dence in indicators labelled "Robust" than in indicators labelled "Speculative". Some experts may however consider the robust indicators to still possess inadequate coni dence, or speculative indicators to exceed simple speculation. A 3-point scale is used to evaluate whether each criterion reviewed contributes or detracts from the overall level of coni dence. Severity shows the scale of the overall or absolute global impact of a given indicator and the breadth of effects internationally. "Major" impacts might involve, for example, tens of billions of dollars of economic damage or over 100,000 deaths on average per year. Other indicators estimate 
much lower levels of damage or even positive net impacts, in which case the severity may be assessed as "Minimal"

Affected Groups indicates the specific population segments or communities particularly affected or susceptible to the impacts of a given indicator. The groups may be socially, economically, geographically or otherwise dei ned depending on the impacts under examination. Injustice shows how unjust or not a given effect is on the global scale. It denotes the level of injustice of a specific effect or set of effects as they are assessed by one of the Monitor's indicators. Injustice is highest when the affected countries have least responsibility for climate change and at its lowest when impacts are shared the most among countries with high responsibility. The four-point score is dei ned by statistical quartiles, so the level of injustice is also relative only to the Monitor's Climate section indicators themselves. Responsibility for climate change is based on total country GHG emissions from 1990-2005 (Mueller et al, 2007). Priority shows the amount of support a specific effect area has received through international climate funding. It denotes the level of priority that the effect or set of effects assessed by one Monitor indicator has, as rel ected in international climate i nance expenditures for adaptation."High priority" denotes higher levels of funding from developed countries, targeting the issue in affected developing countries."Low" or"no priority" is given to concerns for which i nancial support has been marginal or virtually absent. The OECD Creditor Reporting System sub-sector l ows for 2010 have been used as the basis for the analysis (OECD CRS, 2012). High priority Low priority Not a priority The Millennium Development Goals (MDGs) represent the international community's eight primary objectives for poverty reduction to be achieved by 2015. The MDG Effect indicates an impact for specific MDGs. One of the eight goals relates to an international partnership for development and is not relevant to the Monitor's impact analysis. Any of the other seven goals are highlighted whenever an indicator assesses a Climate or Carbon effect that is understood to specifically undermine one or another of these goals. (For more information on the MDGs visit: www.un.org/millenniumgoals) Millenium Development Goal (MDG): End Poverty and Hunger Millenium Development Goal (MDG): Achieve Universal Primary Education Millenium Development Goal (MDG): Promote Gender Equality Millenium Development Goal (MDG): Reduce Child Mortality Millenium Development Goal (MDG): Improve Maternal Health Millenium Development Goal (MDG): Combat HIV/AIDS & Infectious Diseases Millenium Development Goal (MDG): Ensure Environmental Sustainability
Severity shows the scale of the overall or absolute global impact of a given indicator and the breadth of effects internationally. "Major" impacts might involve, for example, tens of billions of dollars of economic damage or over 100,000 deaths on average per year. Other indicators estimate 
much lower levels of damage or even positive net impacts, in which case the severity may be assessed as "Minimal"

Affected Groups indicates the specific population segments or communities particularly affected or susceptible to the impacts of a given indicator. The groups may be socially, economically, geographically or otherwise dei ned depending on the impacts under examination. The Millennium Development Goals (MDGs) represent the international community's eight primary objectives for poverty reduction to be achieved by 2015. The MDG Effect indicates an impact for specific MDGs. One of the eight goals relates to an international partnership for development and is not relevant to the Monitor's impact analysis. Any of the other seven goals are highlighted whenever an indicator assesses a Climate or Carbon effect that is understood to specifically undermine one or another of these goals. (For more information on the MDGs visit: www.un.org/millenniumgoals)
ADDITIONAL ECONOMIC COSTS (MILLION USD PPP) ADDITIONAL AFFECTED POPULATION (1000s)
 COUNTRY     2010 2030 2010 2030
Afghanistan 77 2010090200
Albania 99
Algeria 99
Angola 99
Antigua and Barbuda 99
Argentina 99
Armenia 99
Australia 99
Austria 99
Azerbaijan 99
Bahamas 99
Bahrain 99
Bangladesh 99
Barbados 99
Belarus 99
Belgium 99
Belize 99
Benin 99
Bhutan 4+3- 452502040
Bolivia 99
Bosnia and Herzegovina 99
Botswana 99
Brazil 99
Brunei 99
Bulgaria 99
Burkina Faso 99
Burundi 99
Cambodia 99
Cameroon 99
Canada 77 1,7503,500350700
Cape Verde 99
Central African Republic 99
Chad 99
Chile 99
China 77 9,25065,0004,5009,500
Colombia 99
Comoros 99
Congo 99
Costa Rica 99
Cote d'Ivoire 99
Croatia 99
Cuba 99
Cyprus 99
Czech Republic 99
Denmark 99
Djibouti 99
Dominica 99
Dominican Republic 99
DR Congo 99
Ecuador 99
Egypt 99
El Salvador 99
Equatorial Guinea 99
Eritrea 99
Estonia 99
Ethiopia 99
Fiji 99
Finland 77 153037
France 99
Gabon 99
Gambia 99
Georgia 99
Germany 99
Ghana 99
Greece 99
Grenada 99
Guatemala 99
Guinea 99
Guinea-Bissau 99
Guyana 99
Haiti 99
Honduras 99
Hungary 99
Iceland 99
India 77 10055085150
Indonesia 99
Iran 99
Iraq 99
Ireland 99
Israel 99
Italy 99
Jamaica 99
Japan 99
Jordan 99
Kazakhstan 77 20080075150
Kenya 99
Kiribati 99
Kuwait 99
Kyrgyzstan 0+0+ 4001,750450850
Laos 88
Latvia 88
Lebanon 88
Lesotho 88
Liberia 88
Libya 88
Lithuania 88
Luxembourg 88
Macedonia 88
Madagascar 88
Malawi 88
Malaysia 88
Maldives 88
Mali 88
Malta 88
Marshall Islands 88
Mauritania 88
Mauritius 88
Mexico 88
Micronesia 88
Moldova 88
Mongolia 0+0+ 6004,0005501,000
Morocco 88
Mozambique 88
Myanmar 88
Namibia 88
Nepal 66 65300150300
Netherlands 88
New Zealand 88
Nicaragua 88
Niger 88
Nigeria 88
North Korea 88
Norway 66 1002002040
Oman 88
Pakistan 66 4002,000350750
Palau 88
Panama 88
Papua New Guinea 88
Paraguay 88
Peru 88
Philippines 88
Poland 88
Portugal 88
Qatar 88
Romania 88
Russia 5-4+ 15,00075,0004,5009,500
Rwanda 88
Saint Lucia 88
Saint Vincent 88
Samoa 88
Sao Tome and Principe 88
Saudi Arabia 88
Senegal 88
Seychelles 88
Sierra Leone 88
Singapore 88
Slovakia 88
Slovenia 88
Solomon Islands 88
Somalia 88
South Africa 88
South Korea 88
Spain 88
Sri Lanka 88
Sudan-South Sudan 88
Suriname 88
Swaziland 88
Sweden 66 851502040
Switzerland 88
Syria 88
Tajikistan 5-5- 100500150250
Tanzania 99
Thailand 99
Timor-Leste 99
Togo 99
Tonga 99
Trinidad and Tobago 99
Tunisia 99
Turkey 99
Turkmenistan 99
Tuvalu 99
Uganda 99
Ukraine 99
United Arab Emirates 99
United Kingdom 99
United States 77 6501,25090200
Uruguay 99
Uzbekistan 99
Vanuatu 99
Venezuela 99
Vietnam 99
Yemen 99
Zambia 99
Zimbabwe 99
TOTAL28,780155,38011,403,75023,677,750