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) GALLONS OF OIL SPILL (1000s)
 COUNTRY     2010 2030 2010 2030
Afghanistan 99
Albania 99
Algeria 99
Angola 4+4+ 2508504,2504,500
Antigua and Barbuda 88
Argentina 88
Armenia 88
Australia 66 100200550600
Austria 88
Azerbaijan 88
Bahamas 88
Bahrain 88
Bangladesh 88
Barbados 88
Belarus 88
Belgium 88
Belize 88
Benin 88
Bhutan 88
Bolivia 88
Bosnia and Herzegovina 88
Botswana 88
Brazil 66 5205055
Brunei 88
Bulgaria 88
Burkina Faso 88
Burundi 88
Cambodia 88
Cameroon 88
Canada 66 20358085
Cape Verde 88
Central African Republic 88
Chad 88
Chile 88
China 66 60350600650
Colombia 88
Comoros 88
Congo 88
Costa Rica 88
Cote d'Ivoire 88
Croatia 88
Cuba 88
Cyprus 88
Czech Republic 88
Denmark 88
Djibouti 88
Dominica 88
Dominican Republic 88
DR Congo 88
Ecuador 3-3- 3501,5002,7503,000
Egypt 99
El Salvador 99
Equatorial Guinea 99
Eritrea 99
Estonia 99
Ethiopia 99
Fiji 99
Finland 99
France 77 85150400400
Gabon 99
Gambia 99
Georgia 99
Germany 99
Ghana 99
Greece 99
Grenada 99
Guatemala 99
Guinea 99
Guinea-Bissau 99
Guyana 99
Haiti 99
Honduras 99
Hungary 99
Iceland 99
India 77 151515
Indonesia 99
Iran 99
Iraq 99
Ireland 77 551515
Israel 99
Italy 77 4507502,2502,500
Jamaica 99
Japan 77 6090300300
Jordan 99
Kazakhstan 99
Kenya 99
Kiribati 99
Kuwait 0+0+ 3,25015,0008,2509,000
Kyrgyzstan 88
Laos 88
Latvia 88
Lebanon 5-5- 65250400450
Lesotho 99
Liberia 99
Libya 99
Lithuania 99
Luxembourg 99
Macedonia 99
Madagascar 99
Malawi 99
Malaysia 99
Maldives 99
Mali 99
Malta 99
Marshall Islands 99
Mauritania 99
Mauritius 99
Mexico 77 5254045
Micronesia 99
Moldova 99
Mongolia 99
Morocco 99
Mozambique 75- 20651,2501,250
Myanmar 99
Namibia 99
Nepal 99
Netherlands 99
New Zealand 99
Nicaragua 99
Niger 99
Nigeria 77 401501,0001,250
North Korea 99
Norway 77 20307585
Oman 99
Pakistan 77 25100450500
Palau 99
Panama 99
Papua New Guinea 99
Paraguay 99
Peru 99
Philippines 77 152020
Poland 99
Portugal 99
Qatar 99
Romania 99
Russia 77 3001,0001,5001,750
Rwanda 99
Saint Lucia 99
Saint Vincent 99
Samoa 99
Sao Tome and Principe 99
Saudi Arabia 3-3- 2,0008,0008,2509,000
Senegal 99
Seychelles 99
Sierra Leone 99
Singapore 5-5- 3001,250500500
Slovakia 99
Slovenia 99
Solomon Islands 99
Somalia 99
South Africa 77 5103035
South Korea 77 55250150150
Spain 77 5008002,2502,500
Sri Lanka 99
Sudan-South Sudan 99
Suriname 99
Swaziland 99
Sweden 99
Switzerland 99
Syria 99
Tajikistan 99
Tanzania 99
Thailand 99
Timor-Leste 99
Togo 99
Tonga 99
Trinidad and Tobago 99
Tunisia 99
Turkey 99
Turkmenistan 99
Tuvalu 99
Uganda 99
Ukraine 77 151010
United Arab Emirates 77 50200250250
United Kingdom 77 6501,0002,5002,750
United States 77 3,5006,25015,00015,000
Uruguay 99
Uzbekistan 4+3- 2508504,2504,750
Vanuatu 99
Venezuela 99
Vietnam 99
Yemen 77 1030200200
Zambia 99
Zimbabwe 99
TOTAL12,43339,22557,63561,615