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 0+0+ 540
Albania 4+4+ 15
Algeria 5-5- 530
Angola 5-5- 515
Antigua and Barbuda 5-5-
Argentina 5-4+ 25150
Armenia 0+0+ 525
Australia 4+3- 45100
Austria 75- 1010
Azerbaijan 4+3- 530
Bahamas 5-5- 1
Bahrain 5-5- 15
Bangladesh 4+3- 1575
Barbados 5-4+ 1
Belarus 4+3- 1035
Belgium 75- 1015
Belize 4+4+ 1
Benin 4+3- 15
Bhutan 4+4+ 1
Bolivia 0+0+ 545
Bosnia and Herzegovina 0+0+ 15100
Botswana 5-4+ 15
Brazil 5-4+ 95550
Brunei 5-5- 15
Bulgaria 4+4+ 520
Burkina Faso 5-5- 11
Burundi 4+4+ 1
Cambodia 0+0+ 560
Cameroon 4+4+ 15
Canada 66 2545
Cape Verde 5-5-
Central African Republic 5-5- 1
Chad 77
Chile 4+4+ 1570
China 3-1- 8006,250
Colombia 5-4+ 1580
Comoros 5-5-
Congo 5-5- 11
Costa Rica 4+3- 115
Cote d'Ivoire 5-4+ 15
Croatia 0+0+ 1585
Cuba 3-0+ 1065
Cyprus 5-5- 11
Czech Republic 5-5- 1040
Denmark 5-3- 1025
Djibouti 99
Dominica 4+4+
Dominican Republic 5-4+ 520
DR Congo 5-4+ 15
Ecuador 4+4+ 530
Egypt 65- 1050
El Salvador 0+0+ 1070
Equatorial Guinea 5-5- 15
Eritrea 77
Estonia 5-5- 15
Ethiopia 4+3- 520
Fiji 5-5- 1
Finland 77 11
France 77 4575
Gabon 5-4+ 15
Gambia 3-1- 1
Georgia 0+0+ 1050
Germany 5-5- 70100
Ghana 4+4+ 515
Greece 2+0+ 3595
Grenada 5-4+
Guatemala 4+3- 520
Guinea 4+3- 11
Guinea-Bissau 4+3- 1
Guyana 0+0+ 115
Haiti 5-4+ 11
Honduras 4+2+ 110
Hungary 3-1- 1590
Iceland 5-5- 1
India 3-2+ 3001,500
Indonesia 5-5- 40200
Iran 0+0+ 2001,500
Iraq 5-5- 515
Ireland 75- 55
Israel 77 115
Italy 5-4+ 55150
Jamaica 4+3- 15
Japan 77 90150
Jordan 99
Kazakhstan 75- 520
Kenya 5-5- 15
Kiribati 5-5-
Kuwait 5-5- 520
Kyrgyzstan 99
Laos 4+3- 15
Latvia 5-5- 15
Lebanon 5-4+ 110
Lesotho 5-4+ 1
Liberia 5-4+
Libya 65- 110
Lithuania 1-0+ 1045
Luxembourg 66 11
Macedonia 4+3- 15
Madagascar 4+4+ 15
Malawi 4+4+ 11
Malaysia 5-4+ 2080
Maldives 5-5-
Mali 5-5- 11
Malta 5-5- 1
Marshall Islands 5-5-
Mauritania 99
Mauritius 0+0+ 525
Mexico 4+2+ 95600
Micronesia 5-5-
Moldova 0+0+ 1065
Mongolia 66 1
Morocco 0+0+ 40300
Mozambique 2+0+ 110
Myanmar 5-5- 110
Namibia 2+0+ 110
Nepal 4+4+ 110
Netherlands 65- 1525
New Zealand 5-5- 55
Nicaragua 1-0+ 115
Niger 66 1
Nigeria 5-4+ 1570
North Korea 4+4+ 110
Norway 66 15
Oman 66 15
Pakistan 3-2+ 35200
Palau 5-5-
Panama 5-4+ 110
Papua New Guinea 5-4+ 11
Paraguay 5-4+ 15
Peru 3-1- 25150
Philippines 4+4+ 2085
Poland 5-4+ 30100
Portugal 0+0+ 45150
Qatar 5-5- 520
Romania 3-1- 20100
Russia 5-4+ 90400
Rwanda 4+4+ 11
Saint Lucia 5-4+ 1
Saint Vincent 4+4+
Samoa 5-5-
Sao Tome and Principe 5-5-
Saudi Arabia 77 110
Senegal 99
Seychelles 4+4+ 1
Sierra Leone 4+3- 1
Singapore 5-5- 1040
Slovakia 5-5- 515
Slovenia 5-5- 110
Solomon Islands 5-5-
Somalia 77
South Africa 3-0+ 50250
South Korea 5-5- 55250
Spain 0+0+ 200650
Sri Lanka 4+4+ 525
Sudan-South Sudan 66 110
Suriname 5-5- 1
Swaziland 4+3- 1
Sweden 77 510
Switzerland 77 510
Syria 77 15
Tajikistan 0+0+ 520
Tanzania 4+4+ 515
Thailand 4+3- 40200
Timor-Leste 5-5- 1
Togo 4+4+ 1
Tonga 5-5-
Trinidad and Tobago 5-5- 15
Tunisia 5-4+ 515
Turkey 5-5- 3565
Turkmenistan 99
Tuvalu 5-5-
Uganda 4+4+ 110
Ukraine 4+4+ 2075
United Arab Emirates 65- 525
United Kingdom 5-5- 5590
United States 5-4+ 5001,250
Uruguay 1-0+ 540
Uzbekistan 3-2+ 530
Vanuatu 5-5-
Venezuela 5-5- 1045
Vietnam 0+0+ 40350
Yemen 66 15
Zambia 5-5- 11
Zimbabwe 2+0+ 110
TOTAL3,68818,387