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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 MORTALITY ADDITIONAL AFFECTED POPULATION (1000s)
 COUNTRY     2010 2030 2010 2030
Afghanistan 4+2+ 4,00010,00055200
Albania 5-4+ 250350920
Algeria 5-5- 2,2503,25065200
Angola 4+3- 2,0004,25050150
Antigua and Barbuda 77 1100
Argentina 1-0+ 9,75010,000100150
Armenia 0+0+ 2,0002,2502030
Australia 5-5- 1,5002,2504595
Austria 3-3- 1,2501,2502035
Azerbaijan 3-2+ 1,5002,0002035
Bahamas 66 101501
Bahrain 5-5- 7510013
Bangladesh 5-4+ 9,50020,000200700
Barbados 66 100
Belarus 0+0+ 3,2503,75060100
Belgium 3-3- 1,5001,7502545
Belize 75- 151500
Benin 4+3- 1,0001,7501545
Bhutan 77 1501
Bolivia 77 515515
Bosnia and Herzegovina 0+0+ 2,0002,2502030
Botswana 5-4+ 150250515
Brazil 4+3- 25,00030,000300450
Brunei 75- 153501
Bulgaria 0+0+ 4,2504,0003535
Burkina Faso 5-5- 1,0002,0002060
Burundi 75- 3507001560
Cambodia 5-5- 6501,50025100
Cameroon 3-2+ 3,2505,25050150
Canada 5-5- 2,5003,2504580
Cape Verde 77 102014
Central African Republic 3-3- 6001,0001545
Chad 4+3- 1,2502,5002060
Chile 2+1- 3,2504,5003555
China 0+0+ 500,000800,0004,5008,000
Colombia 4+4+ 5,0007,0005590
Comoros 66 254515
Congo 0+0+ 1,2502,2501540
Costa Rica 5-5- 25030035
Cote d'Ivoire 2+1- 3,5005,50060150
Croatia 1-0+ 1,2501,2501515
Cuba 1-0+ 3,0003,2503045
Cyprus 1-0+ 30035058
Czech Republic 3-3- 1,5001,7501520
Denmark 3-2+ 9001,0001525
Djibouti 0+0+ 30040035
Dominica 4+4+ 51000
Dominican Republic 3-2+ 1,5002,0003055
DR Congo 4+3- 8,00015,000100300
Ecuador 5-5- 8501,250915
Egypt 3-2+ 15,00020,000150300
El Salvador 5-5- 450600820
Equatorial Guinea 3-2+ 10020028
Eritrea 5-5- 250500725
Estonia 77 1101
Ethiopia 75- 3,5006,500100400
Fiji 4+3- 100100510
Finland 4+4+ 6007001520
France 4+3- 7,7509,250150250
Gabon 1-0+ 350600615
Gambia 5-4+ 150250310
Georgia 0+0+ 2,2502,2502535
Germany 3-3- 10,00010,000250400
Ghana 4+4+ 2,2503,50040100
Greece 0+0+ 3,5004,0004045
Grenada 66 00
Guatemala 65- 6009001025
Guinea 3-3- 1,5002,5002570
Guinea-Bissau 3-2+ 200400515
Guyana 4+4+ 858012
Haiti 4+4+ 9001,2501025
Honduras 5-4+ 6009001530
Hungary 2+1- 2,2502,2502530
Iceland 3-3- 456000
India 3-1- 200,000350,0002,0006,000
Indonesia 4+2+ 30,00055,0006002,000
Iran 1-0+ 20,00040,000250800
Iraq 1-1- 7,25010,00070150
Ireland 75- 200250510
Israel 0+0+ 2,0002,7502545
Italy 3-2+ 9,75010,000150200
Jamaica 4+4+ 30040047
Japan 3-2+ 20,00025,000400600
Jordan 1-1- 1,2502,2501530
Kazakhstan 0+0+ 6,5007,75085150
Kenya 5-5- 2,0003,00040100
Kiribati 77 1101
Kuwait 4+3- 350500515
Kyrgyzstan 4+3- 650950610
Laos 77 150300415
Latvia 0+0+ 1,0001,0001015
Lebanon 0+0+ 1,2501,5001520
Lesotho 5-5- 150200520
Liberia 4+4+ 350750825
Libya 0+0+ 2,5003,5002545
Lithuania 2+1- 70075089
Luxembourg 77 152501
Macedonia 0+0+ 600700710
Madagascar 5-5- 1,0002,0002065
Malawi 5-5- 1,0001,7502060
Malaysia 5-4+ 2,0004,25035100
Maldives 5-3- 257001
Mali 5-5- 8001,5001545
Malta 77 101
Marshall Islands 77 100
Mauritania 3-3- 500900825
Mauritius 77 51529
Mexico 3-3- 15,00020,000200300
Micronesia 77 00
Moldova 0+0+ 1,5001,7501015
Mongolia 2+1- 60075046
Morocco 2+1- 6,5009,00065100
Mozambique 3-2+ 3,5005,50055150
Myanmar 4+2+ 5,50010,000100300
Namibia 5-5- 150250520
Nepal 77 6501,50030100
Netherlands 3-2+ 2,7503,2503545
New Zealand 3-3- 6008001020
Nicaragua 5-5- 30045049
Niger 75- 6501,2501035
Nigeria 3-2+ 25,00045,000350850
North Korea 1-0+ 6,2507,25085150
Norway 4+4+ 5006001525
Oman 3-3- 400750410
Pakistan 1-0+ 45,000100,0004001,000
Palau 66 00
Panama 5-5- 20025035
Papua New Guinea 77 150250720
Paraguay 5-5- 30050049
Peru 4+3- 3,7505,0004070
Philippines 4+2+ 10,00025,0003501,500
Poland 3-2+ 6,5007,50075100
Portugal 0+0+ 2,7503,2504050
Qatar 5-5- 10015012
Romania 0+0+ 7,2507,7507080
Russia 0+0+ 65,00070,0009001,000
Rwanda 66 350550930
Saint Lucia 66 100
Saint Vincent 5-5- 101000
Samoa 77 100
Sao Tome and Principe 4+4+ 153001
Saudi Arabia 3-2+ 4,7508,50075200
Senegal 4+3- 1,5002,5002045
Seychelles 77 100
Sierra Leone 4+4+ 550950825
Singapore 0+0+ 1,5002,7502045
Slovakia 4+4+ 50055057
Slovenia 4+4+ 20025034
Solomon Islands 66 100
Somalia 3-3- 1,2502,7501030
South Africa 3-2+ 7,5008,750150400
South Korea 1-0+ 10,00015,000300600
Spain 3-2+ 8,0008,750150200
Sri Lanka 5-5- 9001,75065250
Sudan-South Sudan 4+3- 5,2508,75050100
Suriname 2+2+ 9510011
Swaziland 5-5- 5080520
Sweden 4+3- 1,2501,2502035
Switzerland 4+4+ 8509501525
Syria 3-3- 2,7504,5004085
Tajikistan 75- 300450410
Tanzania 5-4+ 3,7506,25060150
Thailand 5-4+ 4,2508,25075250
Timor-Leste 66 1502
Togo 5-4+ 4508001545
Tonga 66 00
Trinidad and Tobago 66 1502
Tunisia 3-3- 1,5002,2501520
Turkey 0+0+ 25,00035,000300450
Turkmenistan 3-3- 6501,0001535
Tuvalu 77 00
Uganda 77 7001,50035100
Ukraine 0+0+ 30,00030,000300350
United Arab Emirates 5-4+ 600800810
United Kingdom 2+1- 15,00015,000200350
United States 2+2+ 55,00075,0008501,500
Uruguay 2+2+ 650800915
Uzbekistan 4+3- 3,2505,0003575
Vanuatu 75- 101500
Venezuela 4+4+ 3,2504,5003555
Vietnam 4+2+ 10,00020,000200550
Yemen 5-5- 1,7504,0002050
Zambia 3-2+ 2,0003,75040150
Zimbabwe 4+4+ 1,2502,0001545
TOTAL1,393,9702,168,31216,931,26036,472,055