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 99
Algeria 99
Angola 99
Antigua and Barbuda 0+0+ 10100
Argentina 88 -10-65
Armenia 66
Australia 66 150400
Austria 66 55300
Azerbaijan 88
Bahamas 0+0+ 65550
Bahrain 65- 15150
Bangladesh 99
Barbados 0+0+ 40400
Belarus 88 -1-20
Belgium 88 -1-1
Belize 5-4+ 120
Benin 88
Bhutan 88
Bolivia 88
Bosnia and Herzegovina 66 5
Botswana 88
Brazil 88
Brunei 88
Bulgaria 88 -1-5
Burkina Faso 88
Burundi 88
Cambodia 88
Cameroon 88
Canada 88 -100-200
Cape Verde 88
Central African Republic 88
Chad 88
Chile 88 -1-15
China 88 -3,500-40,000
Colombia 88
Comoros 88
Congo 88
Costa Rica 88
Cote d'Ivoire 88
Croatia 88
Cuba 5-3- 1501,250
Cyprus 99
Czech Republic 77 570
Denmark 99 -1-1
Djibouti 5-4+ 115
Dominica 2+0+ 530
Dominican Republic 88
DR Congo 88
Ecuador 88
Egypt 5-3- 6005,000
El Salvador 99
Equatorial Guinea 99
Eritrea 77 110
Estonia 99 -1
Ethiopia 99
Fiji 0+0+ 20200
Finland 66 15
France 66 30200
Gabon 88
Gambia 88
Georgia 66
Germany 66 1070
Ghana 88
Greece 88
Grenada 4+0+ 125
Guatemala 88
Guinea 88
Guinea-Bissau 88
Guyana 88
Haiti 66 125
Honduras 88
Hungary 86 -15
Iceland 88
India 66 8008,000
Indonesia 5-3- 1,25010,000
Iran 99
Iraq 99
Ireland 99 -1-1
Israel 99
Italy 77 1585
Jamaica 1-0+ 100950
Japan 88 -55-5
Jordan 88
Kazakhstan 88
Kenya 88
Kiribati 4+0+ 110
Kuwait 88
Kyrgyzstan 88
Laos 88
Latvia 88 -1-1
Lebanon 88
Lesotho 88
Liberia 88
Libya 88
Lithuania 88 -1-5
Luxembourg 88
Macedonia 88
Madagascar 5-4+ 15100
Malawi 88
Malaysia 3-0+ 1,25010,000
Maldives 0+0+ 15150
Mali 88
Malta 88
Marshall Islands 3-0+ 15
Mauritania 88
Mauritius 88
Mexico 88
Micronesia 3-0+ 115
Moldova 88 -1
Mongolia 88 -1-5
Morocco 88
Mozambique 65- 1065
Myanmar 77 1095
Namibia 99
Nepal 99
Netherlands 99 -1-5
New Zealand 77 15
Nicaragua 99
Niger 99
Nigeria 99
North Korea 99 -15-150
Norway 77 115
Oman 99
Pakistan 99
Palau 3-0+ 15
Panama 88
Papua New Guinea 66 125
Paraguay 88
Peru 88
Philippines 88
Poland 88 -10-65
Portugal 88
Qatar 66 1080
Romania 88 -1-10
Russia 88 -65-500
Rwanda 88
Saint Lucia 0+0+ 10100
Saint Vincent 3-0+ 525
Samoa 2+0+ 535
Sao Tome and Principe 88
Saudi Arabia 66 1001,000
Senegal 88
Seychelles 0+0+ 15100
Sierra Leone 88
Singapore 88
Slovakia 66 550
Slovenia 66 125
Solomon Islands 3-0+ 545
Somalia 88
South Africa 88 -60-400
South Korea 88 -35-150
Spain 66 530
Sri Lanka 4+1- 2001,750
Sudan-South Sudan 77 1060
Suriname 99
Swaziland 99
Sweden 77 115
Switzerland 77 2090
Syria 99
Tajikistan 99
Tanzania 75- 25200
Thailand 99
Timor-Leste 4+0+ 565
Togo 88
Tonga 5-4+ 15
Trinidad and Tobago 2+0+ 100900
Tunisia 88
Turkey 66 1
Turkmenistan 88
Tuvalu 2+0+ 1
Uganda 88
Ukraine 88 -5-35
United Arab Emirates 64+ 1501,500
United Kingdom 88 -5-15
United States 88 -1,500-3,250
Uruguay 88 -1-5
Uzbekistan 88
Vanuatu 0+0+ 10100
Venezuela 88
Vietnam 88
Yemen 65- 30250
Zambia 99
Zimbabwe 99
TOTAL-26-128