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)
 COUNTRY     2010 2030
Afghanistan 99
Albania 77 1
Algeria 99
Angola 0+0+ 4504,500
Antigua and Barbuda 65- 1
Argentina 99 -950-10,000
Armenia 77 15
Australia 75- 100300
Austria 99 -1-10
Azerbaijan 77 125
Bahamas 99
Bahrain 99
Bangladesh 99 -1
Barbados 77 1
Belarus 99 -1-15
Belgium 99
Belize 99
Benin 0+0+ 20200
Bhutan 88
Bolivia 0+0+ 4004,250
Bosnia and Herzegovina 88
Botswana 88
Brazil 1-0+ 2,50020,000
Brunei 88
Bulgaria 65- 10100
Burkina Faso 99
Burundi 99
Cambodia 5-3- 10150
Cameroon 74+ 1090
Canada 65- 150500
Cape Verde 99
Central African Republic 0+0+ 575
Chad 88
Chile 2+0+ 3002,000
China 66 60650
Colombia 64+ 80900
Comoros 88
Congo 65- 120
Costa Rica 74+ 10150
Cote d'Ivoire 5-3- 10100
Croatia 77
Cuba 5-2+ 40450
Cyprus 88
Czech Republic 88
Denmark 88
Djibouti 88
Dominica 2+0+ 110
Dominican Republic 4+0+ 55600
DR Congo 4+0+ 15150
Ecuador 88 -40-500
Egypt 88
El Salvador 65- 575
Equatorial Guinea 99
Eritrea 99
Estonia 99 -1
Ethiopia 99
Fiji 99
Finland 99 -5-15
France 77 3090
Gabon 99
Gambia 99
Georgia 75- 120
Germany 99 -1-10
Ghana 5-3- 15150
Greece 77 1025
Grenada 74+ 5
Guatemala 64+ 10150
Guinea 2+0+ 10100
Guinea-Bissau 88
Guyana 88
Haiti 66 15
Honduras 3-0+ 25300
Hungary 88 -1-10
Iceland 66
India 66 1080
Indonesia 66 30350
Iran 88
Iraq 88
Ireland 66 11
Israel 88
Italy 66 1550
Jamaica 88
Japan 88 -10-30
Jordan 88
Kazakhstan 66 575
Kenya 66 530
Kiribati 88
Kuwait 88
Kyrgyzstan 66 15
Laos 4+0+ 5100
Latvia 88
Lebanon 88
Lesotho 66
Liberia 88
Libya 88
Lithuania 88 -1-5
Luxembourg 88
Macedonia 64+ 535
Madagascar 65- 125
Malawi 75- 110
Malaysia 99
Maldives 99
Mali 99
Malta 99
Marshall Islands 99
Mauritania 99
Mauritius 99
Mexico 4+1- 1,0007,750
Micronesia 99
Moldova 99
Mongolia 74+ 130
Morocco 66 575
Mozambique 0+0+ 75700
Myanmar 4+0+ 50600
Namibia 88
Nepal 66 1
Netherlands 88
New Zealand 88
Nicaragua 4+0+ 10150
Niger 88
Nigeria 66 25200
North Korea 66 15
Norway 88 -1-5
Oman 88
Pakistan 66 115
Palau 88
Panama 3-0+ 35400
Papua New Guinea 88
Paraguay 0+0+ 1001,250
Peru 88 -70-800
Philippines 66 130
Poland 88 -5-40
Portugal 66 520
Qatar 88
Romania 88 -1
Russia 66 150850
Rwanda 88
Saint Lucia 5-2+ 15
Saint Vincent 5-3- 5
Samoa 99
Sao Tome and Principe 99
Saudi Arabia 99
Senegal 99
Seychelles 99
Sierra Leone 5-3- 110
Singapore 99
Slovakia 99
Slovenia 99
Solomon Islands 99
Somalia 99
South Africa 99 -5-60
South Korea 77 115
Spain 77 35100
Sri Lanka 77 115
Sudan-South Sudan 75- 10100
Suriname 99
Swaziland 99
Sweden 77 1025
Switzerland 77 11
Syria 99
Tajikistan 77 1
Tanzania 4+0+ 35350
Thailand 64+ 1001,500
Timor-Leste 0+0+ 20250
Togo 65- 110
Tonga 99
Trinidad and Tobago 99
Tunisia 99
Turkey 77 520
Turkmenistan 99
Tuvalu 99
Uganda 99 -1-10
Ukraine 77 110
United Arab Emirates 99
United Kingdom 77 510
United States 99 -90-300
Uruguay 99 -5-80
Uzbekistan 99
Vanuatu 99
Venezuela 2+0+ 4004,500
Vietnam 66 120
Yemen 88
Zambia 0+0+ 1501,500
Zimbabwe 88
TOTAL5,46345,538