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 ECONOMIC COSTS (MILLION USD PPP) ADDITIONAL MORTALITY ADDITIONAL AFFECTED POPULATION (1000s)
 COUNTRY     2010 2030 2010 2030 2010 2030
Afghanistan 5-3- 5355105590
Albania 5-4+ 1101156
Algeria 66 560551520
Angola 66 1152045
Antigua and Barbuda 88
Argentina 5-4+ 70700551520
Armenia 4+3- 1112025
Australia 75- 652001125
Austria 5-5- 30901146
Azerbaijan 5-5- 53011910
Bahamas 77
Bahrain 77 100
Bangladesh 0+0+ 3002,75075100600900
Barbados 88
Belarus 65- 5351165
Belgium 77 15112
Belize 4+3- 112
Benin 75- 1511715
Bhutan 0+0+ 1111525
Bolivia 2+0+ 30300111015
Bosnia and Herzegovina 66 151122
Botswana 66 100
Brazil 66 202005103030
Brunei 4+4+ 11
Bulgaria 5-5- 10701131
Burkina Faso 75- 1151137
Burundi 75- 1111020
Cambodia 0+0+ 2020010106565
Cameroon 66 1553550
Canada 66 3010015820
Cape Verde 5-5- 12
Central African Republic 77 1169
Chad 77 111920
Chile 77 5501144
China 3-0+ 4,50050,0002001502,0001,500
Colombia 5-4+ 5045010103545
Comoros 0+0+ 5104585
Congo 66 11615
Costa Rica 4+3- 55511610
Cote d'Ivoire 77 112030
Croatia 5-4+ 10851143
Cuba 66 1201122
Cyprus 66 01
Czech Republic 5-3- 5535011
Denmark 77 100
Djibouti 77 00
Dominica 0+0+ 1122
Dominican Republic 65- 1251178
DR Congo 77 1102590200
Ecuador 4+1- 30300152530
Egypt 77 5305106580
El Salvador 5-5- 1152030
Equatorial Guinea 4+4+ 113
Eritrea 66 1147
Estonia 66 00
Ethiopia 66 15101575150
Fiji 0+0+ 1101143
Finland 66 1
France 66 6020011915
Gabon 5-5- 1113
Gambia 77 11
Georgia 3-4+ 110113020
Germany 66 1003501146
Ghana 66 151169
Greece 66 10301123
Grenada 88
Guatemala 5-3- 5605104590
Guinea 77 1151525
Guinea-Bissau 77 01
Guyana 0+0+ 1010011
Haiti 3-0+ 535553040
Honduras 4+2+ 570111520
Hungary 66 106510
Iceland 66 100
India 0+0+ 1,25010,0002,0002,50020,00025,000
Indonesia 65- 756502530250250
Iran 4+2+ 2001,75010104050
Iraq 66 553560
Ireland 66 515112
Israel 66 15112
Italy 65- 1505001157
Jamaica 5-4+ 1201134
Japan 66 150400552035
Jordan 66 123
Kazakhstan 66 530151015
Kenya 66 110554050
Kiribati 88
Kuwait 66 00
Kyrgyzstan 3-0+ 53511915
Laos 2+1- 1155105570
Latvia 77 10
Lebanon 77 1123
Lesotho 77 33
Liberia 75- 11515
Libya 77 1500
Lithuania 77 10
Luxembourg 77 100
Macedonia 3-1- 55011
Madagascar 5-4+ 115553055
Malawi 65- 15111525
Malaysia 75- 20200551515
Maldives 99
Mali 77 11920
Malta 75- 1100
Marshall Islands 99
Mauritania 77 1124
Mauritius 5-5- 111
Mexico 77 5550010104040
Micronesia 77
Moldova 0+0+ 151001155
Mongolia 66 1143
Morocco 66 530111520
Mozambique 2+0+ 1085152030
Myanmar 3-3- 5403545250350
Namibia 77 111
Nepal 2+0+ 15150101585100
Netherlands 66 15401123
New Zealand 5-4+ 5151149
Nicaragua 5-4+ 15152040
Niger 5-4+ 110151025
Nigeria 66 120101585150
North Korea 0+0+ 5506,750101010085
Norway 66 1501
Oman 66 1113
Pakistan 0+0+ 3503,2503045300450
Palau 88
Panama 66 151112
Papua New Guinea 5-4+ 15153040
Paraguay 66 1111020
Peru 65- 15150551520
Philippines 5-4+ 303002525200250
Poland 65- 856001154
Portugal 77 10301122
Qatar 77 00
Romania 5-4+ 403001186
Russia 66 755501053525
Rwanda 66 111525
Saint Lucia 0+0+ 11166
Saint Vincent 66
Samoa 66
Sao Tome and Principe 0+0+ 111525
Saudi Arabia 66 1090112
Senegal 66 1511915
Seychelles 66
Sierra Leone 5-5- 1151530
Singapore 77 15
Slovakia 77 530121
Slovenia 4+3- 159511
Solomon Islands 2+1- 1149
Somalia 5-4+ 11152045
South Africa 66 5351154
South Korea 65- 95800552520
Spain 77 10351145
Sri Lanka 5-4+ 15150554540
Sudan-South Sudan 65- 540554055
Suriname 75- 00
Swaziland 75- 124
Sweden 77 100
Switzerland 75- 25751123
Syria 77 153045
Tajikistan 0+0+ 40300553045
Tanzania 66 110152030
Thailand 4+2+ 1001,0001510150100
Timor-Leste 0+0+ 112525
Togo 66 11159
Tonga 66
Trinidad and Tobago 66 100
Tunisia 66 545134
Turkey 66 301005101535
Turkmenistan 2+1- 5255105580
Tuvalu 99
Uganda 77 1151535
Ukraine 5-4+ 40300112515
United Arab Emirates 66 1201123
United Kingdom 66 1003501135
United States 66 6002,250551535
Uruguay 66 151111
Uzbekistan 5-5- 1101595150
Vanuatu 2+1- 1123
Venezuela 5-4+ 30300551515
Vietnam 0+0+ 1502,0005055500500
Yemen 3-0+ 3525011725
Zambia 66 1111020
Zimbabwe 4+2+ 525111525
TOTAL9,95692,1252,7553,39926,628,65032,777,700