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 77 101526
Albania 99
Algeria 77 00
Angola 5-7 150906535
Antigua and Barbuda 99
Argentina 99
Armenia 99
Australia 99
Austria 99
Azerbaijan 99
Bahamas 99
Bahrain 99
Bangladesh 97 4515
Barbados 77 00
Belarus 99
Belgium 99
Belize 99
Benin 4+5- 95602520
Bhutan 97 0
Bolivia 5-4+ 601503570
Bosnia and Herzegovina 88
Botswana 66 1100
Brazil 66 10025055100
Brunei 88
Bulgaria 88
Burkina Faso 2+5- 3502009050
Burundi 2+4+ 1501504040
Cambodia 5-5- 90902530
Cameroon 4+5- 2501506540
Canada 77 00
Cape Verde 77 00
Central African Republic 0+0+ 400400100100
Chad 1-5- 2501506535
Chile 99
China 77 50802545
Colombia 77 451002555
Comoros 5-7 5110
Congo 0+0+ 2002005555
Costa Rica 66 00
Cote d'Ivoire 0+0+ 1,2501,250300300
Croatia 88
Cuba 88
Cyprus 88
Czech Republic 88
Denmark 88
Djibouti 66 1100
Dominica 66 00
Dominican Republic 66 1020510
DR Congo 0+0+ 6,0005,7501,5001,500
Ecuador 66 1020510
Egypt 66 101045
El Salvador 66 1502
Equatorial Guinea 4+6 5521
Eritrea 66 1100
Estonia 88
Ethiopia 5-7 400400100100
Fiji 77 1100
Finland 99
France 99
Gabon 77 5521
Gambia 4+6 151042
Georgia 88
Germany 88
Ghana 5-7 100653020
Greece 99
Grenada 99
Guatemala 77 1501
Guinea 2+5- 2001005035
Guinea-Bissau 1-5- 302084
Guyana 75- 1501
Haiti 77 35451020
Honduras 77 51026
Hungary 99
Iceland 99
India 97 30095
Indonesia 99
Iran 99
Iraq 77 00
Ireland 99
Israel 99
Italy 99
Jamaica 77 00
Japan 77 00
Jordan 99
Kazakhstan 77 00
Kenya 5-5- 2502506570
Kiribati 75- 1100
Kuwait 99
Kyrgyzstan 99
Laos 5-5- 40501520
Latvia 99
Lebanon 99
Lesotho 77 00
Liberia 4+6 4025106
Libya 88
Lithuania 88
Luxembourg 88
Macedonia 88
Madagascar 66 151042
Malawi 0+0+ 600600150150
Malaysia 66 30501020
Maldives 86 0
Mali 4+6 150904525
Malta 88
Marshall Islands 66 00
Mauritania 66 10531
Mauritius 88
Mexico 66 1501
Micronesia 66 00
Moldova 66 00
Mongolia 88
Morocco 66 00
Mozambique 0+0+ 1,7501,750500450
Myanmar 86 8525
Namibia 3-4+ 30301010
Nepal 86 10
Netherlands 88
New Zealand 88
Nicaragua 66 1501
Niger 2+5- 2501507040
Nigeria 3-5- 2,2501,250600400
North Korea 99
Norway 99
Oman 99
Pakistan 77 10040040100
Palau 77 00
Panama 77 00
Papua New Guinea 0+0+ 400850100250
Paraguay 66 00
Peru 65- 10020060100
Philippines 5-5- 450900250500
Poland 99
Portugal 99
Qatar 99
Romania 99
Russia 77 1100
Rwanda 5-5- 70652020
Saint Lucia 99
Saint Vincent 99
Samoa 77 100
Sao Tome and Principe 77 00
Saudi Arabia 99
Senegal 5-7 100653020
Seychelles 99
Sierra Leone 1-4+ 150753520
Singapore 66 1100
Slovakia 88
Slovenia 88
Solomon Islands 0+2+ 201554
Somalia 2+3- 2002005060
South Africa 77 5522
South Korea 77 1100
Spain 99
Sri Lanka 99
Sudan-South Sudan 2+3- 750950200300
Suriname 77 1101
Swaziland 77 00
Sweden 99
Switzerland 99
Syria 99
Tajikistan 99
Tanzania 0+0+ 1,7501,750450450
Thailand 88
Timor-Leste 88
Togo 5-7 4025106
Tonga 77 100
Trinidad and Tobago 77 00
Tunisia 99
Turkey 99
Turkmenistan 99
Tuvalu 77 00
Uganda 0+0+ 1,5001,500400400
Ukraine 66 1100
United Arab Emirates 88
United Kingdom 88
United States 66 1101
Uruguay 88
Uzbekistan 88
Vanuatu 4+2+ 1512
Venezuela 66 1530515
Vietnam 66 40551525
Yemen 66 80952025
Zambia 0+0+ 600600150150
Zimbabwe 2+3- 2502506560
TOTAL22,32822,5576,098,5376,554,792