Data Portal
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 0+0+ 80,000100,0004,5006,000
Albania 5-7 55055077
Algeria 77 1,2501,5003540
Angola 0+0+ 35,00035,0003,0003,000
Antigua and Barbuda 66 101000
Argentina 66 3,2503,2502020
Armenia 4+5- 1,0009504035
Australia 77 1,5002,2501525
Austria 77 30040034
Azerbaijan 5-5- 2,7502,750100100
Bahamas 77 202000
Bahrain 77 202500
Bangladesh 3-3- 90,00095,0003,0003,500
Barbados 77 201500
Belarus 5-7 1,7501,5001515
Belgium 77 35045035
Belize 77 303011
Benin 2+4+ 6,7505,750350300
Bhutan 4+4+ 3004001520
Bolivia 5-5- 2,0002,500100150
Bosnia and Herzegovina 5-5- 75065065
Botswana 4+5- 8005005030
Brazil 77 25,00030,0001,0001,500
Brunei 77 151500
Bulgaria 5-5- 2,2501,7501510
Burkina Faso 0+2+ 20,00020,0001,0001,000
Burundi 0+1- 15,00010,000700550
Cambodia 0+1- 15,00015,000450500
Cameroon 2+4+ 15,00010,000750550
Canada 66 1,5002,2501525
Cape Verde 66 604532
Central African Republic 1-3- 4,0003,000200150
Chad 0+2+ 15,00015,000650600
Chile 66 8501,25058
China 3-3- 850,000850,00050,00050,000
Colombia 77 4,5004,750250250
Comoros 5-7 20015097
Congo 4+5- 1,7501,5007570
Costa Rica 77 4004502025
Cote d'Ivoire 1-3- 20,00015,000750550
Croatia 77 30025054
Cuba 77 1,2501,0005045
Cyprus 77 757000
Czech Republic 77 50065034
Denmark 77 15025022
Djibouti 5-7 15010043
Dominica 77 5500
Dominican Republic 77 1,0001,0003030
DR Congo 0+2+ 75,00075,0005,0004,500
Ecuador 66 6006501515
Egypt 66 8,0008,750100100
El Salvador 66 7007003535
Equatorial Guinea 66 403500
Eritrea 4+5- 2,5002,000150100
Estonia 75- 20020022
Ethiopia 0+2+ 100,00085,0005,0004,000
Fiji 5-5- 15015043
Finland 77 20025022
France 77 1,5002,0001525
Gabon 77 250200109
Gambia 3-4+ 1,0008004530
Georgia 5-5- 1,2509502015
Germany 77 3,7504,7504050
Ghana 4+5- 10,0008,250450350
Greece 77 45060056
Grenada 77 101000
Guatemala 77 2,0002,500150200
Guinea 1-3- 8,7507,250350300
Guinea-Bissau 0+2+ 1,7501,50010085
Guyana 66 1009043
Haiti 3-3- 6,0006,250250250
Honduras 5-7 1,5001,5008090
Hungary 77 1,2501,50089
Iceland 77 51000
India 3-3- 750,000700,00035,00035,000
Indonesia 4+4+ 95,000150,0005,0006,500
Iran 66 6,0006,7502530
Iraq 66 2,7503,5006580
Ireland 66 10015011
Israel 66 10015011
Italy 66 2,2502,7502530
Jamaica 5-5- 7507505050
Japan 77 10,00015,000150150
Jordan 77 35045011
Kazakhstan 77 2,0002,0002020
Kenya 4+5- 20,00015,000950650
Kiribati 77 151500
Kuwait 77 708500
Kyrgyzstan 3-3- 3,2503,750150150
Laos 3-3- 3,7504,000150200
Latvia 5-7 35030022
Lebanon 77 35035022
Lesotho 77 300150157
Liberia 0+2+ 5,2505,250300300
Libya 66 45050089
Lithuania 66 45040032
Luxembourg 66 152500
Macedonia 5-5- 40035033
Madagascar 1-3- 20,00015,000900750
Malawi 0+3- 15,00010,000850700
Malaysia 77 3,2503,5002020
Maldives 77 354523
Mali 0+1- 25,00020,0001,0001,000
Malta 77 151000
Marshall Islands 3-4+ 253000
Mauritania 2+4+ 2,5002,2508575
Mauritius 66 704500
Mexico 66 9,50015,000500750
Micronesia 5-5- 303011
Moldova 5-5- 8007002015
Mongolia 5-5- 6506502020
Morocco 77 3,5003,7506570
Mozambique 2+4+ 15,00010,000750550
Myanmar 2+3- 35,00035,0001,0001,000
Namibia 77 200150108
Nepal 4+4+ 15,00015,000650750
Netherlands 66 40055046
New Zealand 66 30045035
Nicaragua 5-7 9501,0005055
Niger 0+0+ 30,00030,0002,0002,000
Nigeria 1-3- 150,000100,0006,5005,000
North Korea 77 65060022
Norway 77 15020012
Oman 77 15020001
Pakistan 3-3- 100,000150,0004,0005,000
Palau 77 1500
Panama 77 3503502020
Papua New Guinea 4+4+ 2,7503,250100150
Paraguay 66 6007003035
Peru 66 2,0002,000100100
Philippines 5-5- 20,00020,000700750
Poland 75- 5,5007,2503545
Portugal 77 35045045
Qatar 77 151500
Romania 5-5- 5,0004,0005545
Russia 5-7 30,0002,75020015
Rwanda 0+1- 15,00015,000850700
Saint Lucia 77 202010
Saint Vincent 77 101000
Samoa 4+5- 606033
Sao Tome and Principe 3-5- 857543
Saudi Arabia 77 1,2501,7501520
Senegal 1-3- 10,0008,750400350
Seychelles 77 5500
Sierra Leone 0+0+ 15,00015,000750650
Singapore 66 25025022
Slovakia 65- 8501,00057
Slovenia 77 709001
Solomon Islands 5-5- 15020068
Somalia 0+1- 15,00015,000750750
South Africa 77 5,5004,000300250
South Korea 99
Spain 77 1,7502,2504045
Sri Lanka 4+5- 7,2506,500400350
Sudan-South Sudan 4+5- 20,00015,000900750
Suriname 77 403000
Swaziland 4+5- 4002502515
Sweden 77 40050045
Switzerland 77 25030023
Syria 77 1,7502,2507590
Tajikistan 2+2+ 5,5006,250250250
Tanzania 3-5- 20,00020,0001,5001,000
Thailand 5-5- 20,00020,0001,000950
Timor-Leste 5-7 20020000
Togo 0+3- 6,2505,250200150
Tonga 5-5- 303511
Trinidad and Tobago 77 10010011
Tunisia 77 7007501010
Turkey 75- 9,50015,000400650
Turkmenistan 5-7 9001,00044
Tuvalu 4+5- 5500
Uganda 2+4+ 25,00025,0001,5001,500
Ukraine 5-5- 10,0008,0008060
United Arab Emirates 77 808000
United Kingdom 77 2,0002,7502030
United States 77 15,00025,000200300
Uruguay 77 35035022
Uzbekistan 4+4+ 10,00010,000450500
Vanuatu 5-5- 556523
Venezuela 77 1,5001,5003535
Vietnam 3-4+ 45,00040,0001,5001,500
Yemen 4+4+ 10,00020,000500900
Zambia 2+4+ 10,0009,000550500
Zimbabwe 4+5- 5,5004,000250150
TOTAL3,140,7613,117,110153,691,830153,983,055