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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 MORTALITY ADDITIONAL AFFECTED POPULATION (1000s)
 COUNTRY     2010 2030 2010 2030 2010 2030
Afghanistan 99
Albania 77
Algeria 77 1
Angola 99
Antigua and Barbuda 0+0+ 3025000
Argentina 66 110
Armenia 66
Australia 66 -1-111100150
Austria 66 5100
Azerbaijan 66
Bahamas 5-5- 100
Bahrain 99 -5-35
Bangladesh 0+0+ 1501,2501,7502,500400600
Barbados 88 100
Belarus 66
Belgium 66 11000
Belize 0+0+ 3025000
Benin 88
Bhutan 88
Bolivia 66
Bosnia and Herzegovina 66
Botswana 66
Brazil 88
Brunei 88
Bulgaria 66
Burkina Faso 88
Burundi 88
Cambodia 88
Cameroon 88
Canada 66 15
Cape Verde 88
Central African Republic 88
Chad 88
Chile 66 110
China 65- 4,75050,0001-5100-250
Colombia 99
Comoros 99
Congo 99
Costa Rica 77 11001
Cote d'Ivoire 99
Croatia 77
Cuba 5-4+ 100850-1-1-75-200
Cyprus 66
Czech Republic 66 1501
Denmark 66 51500
Djibouti 66
Dominica 0+0+ 1515000
Dominican Republic 1-0+ 2001,75010102020
DR Congo 88
Ecuador 66
Egypt 66
El Salvador 0+0+ 2501,75000
Equatorial Guinea 88
Eritrea 88
Estonia 66 11
Ethiopia 88
Fiji 68 -10-751-15-2
Finland 66 1
France 66 4095136
Gabon 88
Gambia 88
Georgia 66 1
Germany 66 10035000
Ghana 88
Greece 66 15
Grenada 0+0+ 2520000
Guatemala 88 -1-10100
Guinea 88
Guinea-Bissau 88
Guyana 66 1
Haiti 2+0+ 25200152058
Honduras 0+0+ 2001,5001100
Hungary 66 1
Iceland 66
India 66 5504,250150150300350
Indonesia 88 -50-400
Iran 66 2501,750
Iraq 88
Ireland 66 11
Israel 66 110
Italy 66 15
Jamaica 1-0+ 100800112
Japan 5-4+ 4,00010,000-10-20-10-30
Jordan 66 1
Kazakhstan 66
Kenya 88 -1
Kiribati 88
Kuwait 66 115
Kyrgyzstan 66
Laos 88 -5-351158
Latvia 66 11000
Lebanon 66 15
Lesotho 88
Liberia 88
Libya 88
Lithuania 66 100
Luxembourg 66 11
Macedonia 66
Madagascar 0+0+ 4025050100150300
Malawi 66 1
Malaysia 88 -1-10
Maldives 88 -100
Mali 88
Malta 66
Marshall Islands 65- 00
Mauritania 99
Mauritius 4+2+ 251501100
Mexico 66 1501,25010157085
Micronesia 65- 00
Moldova 77 15
Mongolia 77
Morocco 99
Mozambique 5-5- 1151525150200
Myanmar 0+0+ 1205006001015
Namibia 66
Nepal 88
Netherlands 66 1500
New Zealand 68 -5-1500
Nicaragua 3-0+ 503501100
Niger 88
Nigeria 88
North Korea 0+0+ 5505,75020
Norway 66 15
Oman 5-4+ 75550
Pakistan 65- 2502,2505548
Palau 5-4+ 00
Panama 66 00
Papua New Guinea 88
Paraguay 66
Peru 66 110
Philippines 66 151004560200250
Poland 66 11000
Portugal 88
Qatar 66 110
Romania 66 11
Russia 88 110-1-500
Rwanda 88
Saint Lucia 4+3- 12000
Saint Vincent 97 1500
Samoa 72+ -1105
Sao Tome and Principe 88
Saudi Arabia 88 -30-250
Senegal 88
Seychelles 66 1
Sierra Leone 88
Singapore 88
Slovakia 66 15
Slovenia 66 15
Solomon Islands 5-5- 11820
Somalia 77 1
South Africa 77 520
South Korea 75- 6004,750-100
Spain 99 -1-10
Sri Lanka 77 53520
Sudan-South Sudan 99
Suriname 99
Swaziland 77
Sweden 77 51000
Switzerland 77 51500
Syria 77
Tajikistan 77 115
Tanzania 77 1590
Thailand 99 -5-3500
Timor-Leste 99
Togo 99 -1-10
Tonga 90+ 1-320
Trinidad and Tobago 88 -10-1
Tunisia 66
Turkey 66
Turkmenistan 66
Tuvalu 88
Uganda 88
Ukraine 66 15
United Arab Emirates 88 -10-85
United Kingdom 66 206000
United States 66 2,5008,2501146
Uruguay 66 1
Uzbekistan 66
Vanuatu 0+0+ -1510715
Venezuela 66 1
Vietnam 66 -5-7510101515
Yemen 65- 25200
Zambia 99
Zimbabwe 77 15615
TOTAL15,05798,7112,5623,4861,489,8221,625,932