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) CHANGE IN ENERGY LOAD (GWh) ADDITIONAL CO₂ GENERATED/REDUCED (Kt CO₂)
 COUNTRY     2010 2030 2010 2030 2010 2030
Afghanistan 99 -30-150-650-800-150-200
Albania 99 -20-100-95-150-1-1
Algeria 99 -300-1,750-3,000-4,500-1,750-2,750
Angola 77 15150953502075
Antigua and Barbuda 5-0+ 12515651555
Argentina 88 -65-350-3,000-3,750-1,000-1,500
Armenia 88 -25-150-200-300-20-40
Australia 66 1505501,7504,0001,5003,750
Austria 88 -500-1,500-2,500-4,750-450-850
Azerbaijan 88 -35-200-250-400-150-250
Bahamas 65- 13020801560
Bahrain 73- 1520010040060250
Bangladesh 75- 456509503,5005502,000
Barbados 74+ 13020802070
Belarus 88 -350-2,250-1,750-3,500-1,500-2,750
Belgium 88 -600-1,750-3,000-5,250-700-1,250
Belize 5-1- 1301555110
Benin 4+1- 1515010030085200
Bhutan 97 1-115
Bolivia 99 -100-800-900-1,750-350-650
Bosnia and Herzegovina 99 -85-500-450-800-350-600
Botswana 99 -5-30-70-100-90-150
Brazil 75- 2505,0001,5007,50070400
Brunei 75- 550251002085
Bulgaria 99 -250-1,500-1,250-2,250-800-1,500
Burkina Faso 2+0+ 45400250600150350
Burundi 3-0+ 5556015011
Cambodia 5-1- 25500200850200850
Cameroon 5-3- 3530025065045100
Canada 99 -550-1,500-6,750-15,000-1,250-2,250
Cape Verde 5-3- 110515510
Central African Republic 3-0+ 55540100515
Chad 2+0+ 45350150350150350
Chile 88 -400-2,750-2,000-3,750-850-1,500
China 88 -2,750-20,000-60,000-80,000-50,000-65,000
Colombia 85- -401,250-3002,500-55450
Comoros 5-2+ 15520515
Congo 64+ 560501001025
Costa Rica 65- 10150100400515
Cote d'Ivoire 5-2+ 35300300750150350
Croatia 88 -75-450-700-1,250-250-400
Cuba 63- 558505502,2504501,750
Cyprus 77 115565550
Czech Republic 99 -700-4,250-3,500-6,500-2,500-4,750
Denmark 99 -900-2,500-2,250-4,000-1,250-2,500
Djibouti 97 -11-51-51
Dominica 5-2+ 110525515
Dominican Republic 5-1- 659504501,7503501,250
DR Congo 5-3- 151504001,00015
Ecuador 99 -30-10-350-20-95-5
Egypt 97 -150200-1,250550-700300
El Salvador 73- 2030015060050200
Equatorial Guinea 5-1- 2520015040095250
Eritrea 99 -20-100-150-300-100-200
Estonia 99 -40-250-150-300-150-300
Ethiopia 99 -35-200-900-1,500-100-150
Fiji 5-2+ 1352090520
Finland 88 -550-1,500-3,000-5,500-1,000-1,750
France 88 -2,250-6,250-15,000-25,000-1,250-2,000
Gabon 66 5353070515
Gambia 5-2+ 52520601540
Georgia 88 -1-5-5-10-1-1
Germany 88 -8,000-20,000-30,000-55,000-15,000-30,000
Ghana 64+ 3025035090060150
Greece 88 -25-45-250-250-200-200
Grenada 5-1- 11510401030
Guatemala 75- 51503030010100
Guinea 4+1- 15100952502560
Guinea-Bissau 4+0+ 12015451535
Guyana 5-2+ 550251002085
Haiti 1-0+ 35500250950150550
Honduras 5-1- 2540020075065250
Hungary 99 -350-2,250-1,500-2,750-750-1,250
Iceland 99 -40-100-150-300
India 75- 80010,00015,00065,00015,00055,000
Indonesia 77 1501,7502,2507,0001,7505,750
Iran 99 -100-350-2,000-2,000-1,250-1,250
Iraq 5-0+ 1001,5007503,0005502,250
Ireland 88 -300-850-1,250-2,000-500-900
Israel 66 51505540045300
Italy 88 -2,000-5,250-6,500-10,000-3,250-5,750
Jamaica 5-1- 20300200750100450
Japan 77 2507501,2502,5005501,000
Jordan 97 -545-5095-3055
Kazakhstan 99 -150-850-2,500-4,750-2,500-5,000
Kenya 97 -1015-6035-2515
Kiribati 5-2+ 5515510
Kuwait 64+ 556504001,5004501,500
Kyrgyzstan 88 -10-75-250-400-20-40
Laos 5-1- 1025010040011
Latvia 99 -150-950-600-1,000-100-200
Lebanon 99 -10-15-85-30-65-20
Lesotho 99 -1-10-20-35
Liberia 0+0+ 550401002565
Libya 88 -55-200-500-450-500-450
Lithuania 88 -300-1,750-1,250-2,000-950-1,750
Luxembourg 88 -35-100-150-300-70-150
Macedonia 88 -40-250-200-350-200-300
Madagascar 88 -40-150-150-200-50-60
Malawi 88 -1-10-80-100-10-10
Malaysia 65- 651,0005502,2503501,500
Maldives 97 5-125-120
Mali 3-0+ 3025020055065150
Malta 65- 11015301025
Marshall Islands 5-1- 5110
Mauritania 4+1- 10706015040100
Mauritius 77 12020451030
Mexico 73- 60010,0006,25030,0003,00015,000
Micronesia 5-1- 15515
Moldova 99 -65-450-350-650-250-500
Mongolia 99 -40-450-350-750-500-1,000
Morocco 99 -200-1,000-1,750-2,500-1,250-1,750
Mozambique 74+ 1090150400
Myanmar 5-0+ 751,2506502,750100450
Namibia 88 -15-70-100-200-25-40
Nepal 88 -15-80-250-450-1-1
Netherlands 88 -1,250-3,500-5,250-9,500-2,500-4,500
New Zealand 88 -65-200-400-750-65-150
Nicaragua 3-0+ 30500200750100400
Niger 1-0+ 30250200550200550
Nigeria 65- 857002,5006,2501,0002,750
North Korea 99 -150-1,250-1,250-2,250-650-1,250
Norway 99 -350-1,000-2,250-4,250-35-65
Oman 5-3- 455503501,250250800
Pakistan 99 -65-75-1,500-400-700-200
Palau 5-2+ 115
Panama 5-1- 3050020075060250
Papua New Guinea 4+0+ 2035020090085350
Paraguay 65- 515090500
Peru 77 54503590010200
Philippines 73- 2003,0001,5006,5008003,250
Poland 99 -1,250-8,250-6,750-10,000-7,000-15,000
Portugal 99 -150-400-700-1,250-300-550
Qatar 75- 405003001,000150550
Romania 99 -200-1,250-1,750-3,250-1,000-2,000
Russia 99 -2,250-15,000-20,000-45,000-15,000-25,000
Rwanda 97 -15-1510-51
Saint Lucia 5-1- 12515651550
Saint Vincent 5-1- 1151035520
Samoa 5-2+ 110525110
Sao Tome and Principe 4+1- 11511
Saudi Arabia 5-3- 3504,2502,5009,0002,0007,250
Senegal 4+0+ 30250200550150400
Seychelles 66 151015
Sierra Leone 3-0+ 1075651503080
Singapore 65- 601,0003001,250200900
Slovakia 99 -300-1,750-1,250-2,500-400-750
Slovenia 99 -100-650-550-1,000-200-400
Solomon Islands 5-0+ 12515651555
Somalia 86 -11-105-51
South Africa 88 -200-1,000-3,250-5,500-3,000-5,250
South Korea 88 -150-1,250-1,750-3,500-950-2,000
Spain 88 -500-1,250-2,500-4,000-800-1,250
Sri Lanka 66 510015060070300
Sudan-South Sudan 5-3- 807507502,000250700
Suriname 5-1- 550251001035
Swaziland 99 -1-15-30-50-1-1
Sweden 99 -1,250-3,250-5,000-9,000-150-300
Switzerland 99 -400-1,250-2,750-5,000-20-30
Syria 97 -2555-200100-10070
Tajikistan 99 -5-15-95-90-1-1
Tanzania 5-3- 403504501,250100300
Thailand 74+ 2003,0002,0008,5001,2504,750
Timor-Leste 65- 110520
Togo 3-0+ 1085702001030
Tonga 65- 511015
Trinidad and Tobago 77 14010040075300
Tunisia 99 -100-550-1,000-1,500-600-850
Turkey 99 -550-1,250-3,250-5,250-1,750-2,750
Turkmenistan 99 -5-25-100-150-100-100
Tuvalu 4+0+ 111
Uganda 5-2+ 403001504502570
Ukraine 88 -1,250-8,000-6,250-15,000-3,000-5,750
United Arab Emirates 5-2+ 1502,0001,2504,2508002,750
United Kingdom 88 -4,250-10,000-20,000-35,000-9,000-15,000
United States 88 -650-1,000-5,750-5,750-3,500-3,500
Uruguay 88 -40-200-250-300-60-85
Uzbekistan 88 -40-150-750-850-500-550
Vanuatu 62+ 110525520
Venezuela 5-2+ 2003,0001,5006,2504001,500
Vietnam 5-2+ 1503,7501,5006,0005502,500
Yemen 1-0+ 2002,2501,5004,7501,0003,250
Zambia 88 -1-5-55-45
Zimbabwe 88 -30-150-250-400-150-250
TOTAL-33,158-77,643-203,822-213,853-109,817-98,684