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 77 120
Algeria 77 30350
Angola 75- 80800
Antigua and Barbuda 99
Argentina 77 80950
Armenia 77 1
Australia 99 -10-25
Austria 77
Azerbaijan 77 5
Bahamas 77 135
Bahrain 75- 20200
Bangladesh 5-1- 5007,750
Barbados 99
Belarus 77 15
Belgium 77 15
Belize 75- 120
Benin 5-1- 25350
Bhutan 77 1
Bolivia 77 565
Bosnia and Herzegovina 77 110
Botswana 99
Brazil 77 55500
Brunei 77 130
Bulgaria 77 125
Burkina Faso 75- 10150
Burundi 4+0+ 15200
Cambodia 3-0+ 1503,000
Cameroon 5-2+ 70850
Canada 88 -45-100
Cape Verde 88
Central African Republic 5-0+ 10150
Chad 88
Chile 4+2+ 8506,500
China 66 1,50015,000
Colombia 66 40500
Comoros 88
Congo 66 120
Costa Rica 66 555
Cote d'Ivoire 65- 20200
Croatia 77 565
Cuba 77 535
Cyprus 77 15
Czech Republic 77 110
Denmark 77 35100
Djibouti 99
Dominica 77 1
Dominican Republic 77 565
DR Congo 3-0+ 1501,750
Ecuador 5-1- 3003,250
Egypt 77 1502,250
El Salvador 77 585
Equatorial Guinea 77 125
Eritrea 99
Estonia 77 1590
Ethiopia 77 15200
Fiji 74+ 565
Finland 66 1555
France 66 3090
Gabon 65- 20200
Gambia 0+0+ 45450
Georgia 66 1095
Germany 66 1555
Ghana 4+0+ 2002,250
Greece 66 1025
Grenada 65- 110
Guatemala 77 585
Guinea 3-0+ 55550
Guinea-Bissau 88
Guyana 3-0+ 25300
Haiti 66 115
Honduras 66 565
Hungary 66 115
Iceland 88 -350-1,000
India 66 6506,000
Indonesia 65- 6507,750
Iran 75- 4505,000
Iraq 77 20250
Ireland 77
Israel 77 115
Italy 77 2060
Jamaica 77 565
Japan 77 200600
Jordan 77 5
Kazakhstan 77 585
Kenya 72+ 901,250
Kiribati 5-3- 110
Kuwait 77 540
Kyrgyzstan 77
Laos 75- 5150
Latvia 77 15150
Lebanon 77 535
Lesotho 77
Liberia 5-3- 125
Libya 77 25300
Lithuania 77 15150
Luxembourg 99
Macedonia 77 1
Madagascar 4+0+ 65700
Malawi 3-0+ 60900
Malaysia 64+ 5005,750
Maldives 88
Mali 4+0+ 60850
Malta 66 1
Marshall Islands 88
Mauritania 88
Mauritius 66 555
Mexico 66 100950
Micronesia 0+0+ 15150
Moldova 66 5
Mongolia 88
Morocco 3-0+ 6507,250
Mozambique 4+0+ 65700
Myanmar 1-0+ 6007,500
Namibia 5-2+ 30300
Nepal 66 575
Netherlands 66 1545
New Zealand 66 3090
Nicaragua 64+ 15200
Niger 62+ 15200
Nigeria 64+ 3003,750
North Korea 65- 20300
Norway 99 -900-2,750
Oman 5-1- 2002,000
Pakistan 77 1001,250
Palau 4+0+ 15
Panama 5-2+ 851,000
Papua New Guinea 2+0+ 951,250
Paraguay 66 5
Peru 3-0+ 1,25015,000
Philippines 64+ 4505,000
Poland 66 25200
Portugal 66 2060
Qatar 66 10150
Romania 66 110
Russia 88 -1,250-8,250
Rwanda 66 555
Saint Lucia 66 110
Saint Vincent 88
Samoa 4+0+ 540
Sao Tome and Principe 88
Saudi Arabia 66 85950
Senegal 4+0+ 90950
Seychelles 0+0+ 70700
Sierra Leone 0+0+ 65650
Singapore 66 110
Slovakia 66 15
Slovenia 66 1
Solomon Islands 64+ 120
Somalia 88
South Africa 65- 3003,000
South Korea 77 2001,750
Spain 77 35100
Sri Lanka 5-3- 1502,000
Sudan-South Sudan 75- 40650
Suriname 5-2+ 10100
Swaziland 66
Sweden 66 1025
Switzerland 66 1
Syria 66 580
Tajikistan 66 1
Tanzania 65- 20300
Thailand 74+ 7008,500
Timor-Leste 66 5
Togo 5-2+ 10150
Tonga 64+ 110
Trinidad and Tobago 66 125
Tunisia 65- 901,000
Turkey 77 4001,250
Turkmenistan 77 565
Tuvalu 0+0+ 115
Uganda 3-0+ 2003,000
Ukraine 66 55600
United Arab Emirates 66 40450
United Kingdom 66 11
United States 88 -300-1,000
Uruguay 65- 30350
Uzbekistan 77 110
Vanuatu 0+0+ 80950
Venezuela 66 65800
Vietnam 3-0+ 1,50025,000
Yemen 88
Zambia 5-1- 35500
Zimbabwe 75- 570
TOTAL13,010168,668