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
 COUNTRY     2010 2030
Afghanistan 4+4+ 250400
Albania 65- 520
Algeria 5-5- 150200
Angola 3-3- 200300
Antigua and Barbuda 3-3- 11
Argentina 4+5- 300250
Armenia 0+0+ 7585
Australia 5-3- 100250
Austria 5-3- 3085
Azerbaijan 5-4+ 2565
Bahamas 66 11
Bahrain 66 11
Bangladesh 2+3- 1,7502,000
Barbados 2+3- 51
Belarus 0+0+ 250300
Belgium 66 2020
Belize 4+4+ 11
Benin 3-3- 90150
Bhutan 3-4+ 510
Bolivia 2+3- 100150
Bosnia and Herzegovina 2+0+ 5085
Botswana 4+4+ 1515
Brazil 3-3- 1,7502,000
Brunei 5-5- 11
Bulgaria 0+0+ 200200
Burkina Faso 3-3- 150250
Burundi 0+0+ 150200
Cambodia 3-4+ 100150
Cameroon 0+1- 350450
Canada 75- 75200
Cape Verde 4+4+ 55
Central African Republic 0+0+ 95150
Chad 0+0+ 250400
Chile 88 -20-70
China 88 -5,500-15,000
Colombia 4+4+ 300350
Comoros 1-1- 1015
Congo 0+0+ 70100
Costa Rica 5-5- 2025
Cote d'Ivoire 0+0+ 350450
Croatia 2+1- 5575
Cuba 1-1- 150150
Cyprus 4+4+ 510
Czech Republic 64+ 3070
Denmark 65- 1530
Djibouti 2+2+ 1010
Dominica 3-3- 11
Dominican Republic 1-2+ 150150
DR Congo 0+0+ 1,2502,000
Ecuador 5-5- 6070
Egypt 5-5- 450500
El Salvador 3-3- 5565
Equatorial Guinea 0+0+ 1520
Eritrea 3-3- 4565
Estonia 1-0+ 2025
Ethiopia 3-3- 7501,250
Fiji 3-3- 1010
Finland 4+2+ 3070
France 66 20150
Gabon 0+0+ 2540
Gambia 3-3- 2025
Georgia 1-0+ 65100
Germany 3-1- 7001,250
Ghana 4+4+ 200250
Greece 2+0+ 150200
Grenada 2+3- 11
Guatemala 4+4+ 90100
Guinea 1-1- 150250
Guinea-Bissau 0+0+ 2540
Guyana 2+3- 105
Haiti 0+0+ 200250
Honduras 0+0+ 150150
Hungary 2+0+ 100200
Iceland 66 1
India 3-3- 10,00010,000
Indonesia 5-5- 1,2501,250
Iran 5-5- 250300
Iraq 5-5- 100150
Ireland 99 -15-15
Israel 5-5- 3035
Italy 3-1- 600850
Jamaica 5-5- 1515
Japan 99 -850-1,750
Jordan 77 1010
Kazakhstan 75- 1585
Kenya 3-3- 350450
Kiribati 4+4+ 11
Kuwait 66 55
Kyrgyzstan 3-3- 6075
Laos 4+4+ 4550
Latvia 0+0+ 4560
Lebanon 3-4+ 3540
Lesotho 0+0+ 4035
Liberia 0+0+ 75150
Libya 5-5- 2030
Lithuania 5-1- 1055
Luxembourg 75- 11
Macedonia 0+0+ 4560
Madagascar 3-3- 200350
Malawi 0+0+ 250400
Malaysia 66 165
Maldives 5-5- 11
Mali 5-5- 80150
Malta 77
Marshall Islands 0+0+ 11
Mauritania 3-3- 3045
Mauritius 5-5- 55
Mexico 77 15095
Micronesia 3-4+ 11
Moldova 1-0+ 5575
Mongolia 5-5- 1510
Morocco 5-5- 100150
Mozambique 0+0+ 400550
Myanmar 2+2+ 600650
Namibia 0+0+ 4055
Nepal 4+4+ 250300
Netherlands 86 -101
New Zealand 5-3- 2050
Nicaragua 4+4+ 4055
Niger 3-3- 150250
Nigeria 0+0+ 3,0004,250
North Korea 4+2+ 150300
Norway 66 510
Oman 5-5- 1015
Pakistan 4+4+ 1,2501,750
Palau 3-4+
Panama 5-5- 1520
Papua New Guinea 3-4+ 6080
Paraguay 88 -5-25
Peru 5-5- 100150
Philippines 4+4+ 700800
Poland 4+3- 250350
Portugal 99 -15-60
Qatar 77 11
Romania 1-0+ 300400
Russia 1-0+ 2,2503,000
Rwanda 2+2+ 100150
Saint Lucia 3-4+ 11
Saint Vincent 2+3- 11
Samoa 3-3- 11
Sao Tome and Principe 2+2+ 15
Saudi Arabia 5-5- 75150
Senegal 3-3- 100150
Seychelles 0+0+ 11
Sierra Leone 2+2+ 75100
Singapore 5-5- 2525
Slovakia 4+4+ 4040
Slovenia 5-5- 510
Solomon Islands 4+4+ 55
Somalia 1-1- 150250
South Africa 99 -300-1,250
South Korea 97 -130
Spain 5-4+ 250300
Sri Lanka 5-4+ 90150
Sudan-South Sudan 1-2+ 600850
Suriname 0+0+ 1010
Swaziland 0+0+ 2530
Sweden 5-3- 4590
Switzerland 74+ 1540
Syria 66 1010
Tajikistan 4+6 4520
Tanzania 3-3- 350550
Thailand 75- 200350
Timor-Leste 99
Togo 3-3- 5580
Tonga 3-3- 11
Trinidad and Tobago 5-5- 55
Tunisia 77 130
Turkey 5-5- 250500
Turkmenistan 5-7 255
Tuvalu 0+1-
Uganda 4+4+ 250500
Ukraine 0+0+ 2,0002,250
United Arab Emirates 66 51
United Kingdom 88 -55-200
United States 88 -1,500-3,250
Uruguay 4+6 2010
Uzbekistan 4+4+ 200300
Vanuatu 4+4+ 11
Venezuela 5-5- 150150
Vietnam 5-5- 450350
Yemen 4+3- 200450
Zambia 0+0+ 250400
Zimbabwe 1-1- 200250
TOTAL33,79931,992