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 2+3- 11
Algeria 5-5- 15
Angola 99
Antigua and Barbuda 99
Argentina 77 1
Armenia 99
Australia 77 11
Austria 77 11
Azerbaijan 4+5- 11
Bahamas 99
Bahrain 99
Bangladesh 2+1- 525
Barbados 99
Belarus 77 11
Belgium 0+2+ 1515
Belize 88
Benin 88
Bhutan 88
Bolivia 88
Bosnia and Herzegovina 0+2+ 11
Botswana 88
Brazil 66 515
Brunei 88
Bulgaria 0+0+ 510
Burkina Faso 88
Burundi 88
Cambodia 88
Cameroon 4+4+ 11
Canada 66 55
Cape Verde 88
Central African Republic 88
Chad 88
Chile 66 11
China 0+0+ 4002,250
Colombia 66 11
Comoros 88
Congo 88
Costa Rica 88
Cote d'Ivoire 88
Croatia 3-4+ 11
Cuba 88
Cyprus 88
Czech Republic 3-4+ 510
Denmark 4+5- 11
Djibouti 99
Dominica 99
Dominican Republic 99
DR Congo 99
Ecuador 99
Egypt 0+0+ 1580
El Salvador 88
Equatorial Guinea 88
Eritrea 88
Estonia 66
Ethiopia 88
Fiji 88
Finland 66
France 4+5- 2020
Gabon 99
Gambia 99
Georgia 77
Germany 4+4+ 4040
Ghana 88
Greece 5-7 11
Grenada 99
Guatemala 99
Guinea 99
Guinea-Bissau 99
Guyana 99
Haiti 99
Honduras 99
Hungary 0+2+ 515
Iceland 88
India 0+0+ 100550
Indonesia 5-5- 530
Iran 5-4+ 1040
Iraq 5-5- 15
Ireland 77
Israel 0+0+ 1535
Italy 5-7 1010
Jamaica 99
Japan 0+1- 150150
Jordan 0+0+ 110
Kazakhstan 5-4+ 15
Kenya 88
Kiribati 88
Kuwait 88
Kyrgyzstan 66
Laos 88
Latvia 66
Lebanon 0+0+ 1040
Lesotho 88
Liberia 88
Libya 66 1
Lithuania 88
Luxembourg 88
Macedonia 0+0+ 11
Madagascar 88
Malawi 88
Malaysia 66 15
Maldives 88
Mali 88
Malta 88
Marshall Islands 88
Mauritania 88
Mauritius 88
Mexico 5-5- 1535
Micronesia 99
Moldova 99
Mongolia 99
Morocco 75- 15
Mozambique 99
Myanmar 99
Namibia 99
Nepal 99
Netherlands 4+5- 55
New Zealand 99
Nicaragua 99
Niger 99
Nigeria 75- 15
North Korea 5-4+ 1
Norway 88
Oman 5-5- 1
Pakistan 3-2+ 1040
Palau 88
Panama 88
Papua New Guinea 88
Paraguay 88
Peru 66
Philippines 66 15
Poland 0+2+ 2050
Portugal 0+0+ 1515
Qatar 88
Romania 2+3- 515
Russia 1-0+ 60250
Rwanda 88
Saint Lucia 88
Saint Vincent 88
Samoa 88
Sao Tome and Principe 88
Saudi Arabia 66 110
Senegal 88
Seychelles 88
Sierra Leone 88
Singapore 88
Slovakia 3-4+ 15
Slovenia 5-5- 11
Solomon Islands 99
Somalia 99
South Africa 3-2+ 1035
South Korea 0+0+ 80450
Spain 5-7 55
Sri Lanka 99
Sudan-South Sudan 99
Suriname 99
Swaziland 99
Sweden 77 11
Switzerland 77
Syria 3-2+ 110
Tajikistan 4+5-
Tanzania 99
Thailand 3-2+ 1045
Timor-Leste 88
Togo 88
Tonga 88
Trinidad and Tobago 88
Tunisia 2+0+ 110
Turkey 4+3- 1020
Turkmenistan 77
Tuvalu 99
Uganda 99
Ukraine 1-3- 520
United Arab Emirates 77 1
United Kingdom 2+4+ 4045
United States 3-4+ 200200
Uruguay 88
Uzbekistan 5-7 11
Vanuatu 99
Venezuela 5-5- 110
Vietnam 4+4+ 120
Yemen 66 1
Zambia 66
Zimbabwe 5-5-
TOTAL1,3344,700