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2015 - Cities Emissions Reduction Targets
| Row number | Organization | Account No | Country | City Short Name | C40 | Reporting Year | Baseline Year | Baseline Emissions (metric tonnes CO2e) | Percentage Reduction Target | Relevant GHG Sources | Target Date | Target Description | GHG sources to which the target applies | Comment | Target Date Category | City Location | Country Location |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | City of Long Beach | 50551 | USA | Long Beach | 2015 | 2007 | 407916 | 10.00 | electricity | 2020 | natural gas | Short term | (33.77005°, -118.193739°) | (37.09024°, -95.712891°) | |||
| 2 | Mexico City | 31172 | Mexico | Mexico City | C40 | 2015 | 2000 | 50.00 | 2050 | Long term | (19.4326077°, -99.133208°) | (23.634501°, -102.552784°) | |||||
| 3 | Mexico City | 31172 | Mexico | Mexico City | C40 | 2015 | 2012 | 2010083 | 0.01 | 2020 | Comercial | Emissions generated by the consumption of electricity and fuel use in malls and service | Short term | (19.4326077°, -99.133208°) | (23.634501°, -102.552784°) | ||
| 4 | Mexico City | 31172 | Mexico | Mexico City | C40 | 2015 | 2012 | 12620635 | 3.90 | 2020 | Transport | Emissions from motor vehicles on roads and used by the community to be transported; in addition to those generated by vehicles not driven on roads, as the operation of buses within the bus stations, locomotives, aircraft and agricultural machinery and construction | Short term | (19.4326077°, -99.133208°) | (23.634501°, -102.552784°) | ||
| 5 | Suwon city | 44185 | South Korea | Suwon | 2015 | 2005 | 601495 | 5.00 | Suwon total emissions | 2030 | Suwon total emissions | Short term | (37.2635727°, 127.0286009°) | (35.907757°, 127.766922°) | |||
| 6 | City of Winnipeg | 50579 | Canada | Winnipeg | 2015 | 1998 | 5257324 | 6.00 | All in inventory. | No firm target date or action plan. | All in inventory. | No firm target date or action plan. | No date | (49.8997541°, -97.1374937°) | (56.130366°, -106.346771°) | ||
| 7 | Mexico City | 31172 | Mexico | Mexico City | C40 | 2015 | 2012 | 4028724 | 6.40 | 2020 | Residential | Emissions from electricity consumption and use of fossil fuel (LPG and natural gas) in different types of housing | Short term | (19.4326077°, -99.133208°) | (23.634501°, -102.552784°) | ||
| 8 | Gobierno Municipal de León de los Aldamas | 50359 | Mexico | León de los Aldamas | 2015 | 2013 | 5012133 | 10.00 | Energía. | 2025 | Meta incluida dentro del Programa Municipal de Cambio Climático del Municipio de León. | Energía. | Meta incluida dentro del Programa Municipal de Cambio Climático del Municipio de León. | Short term | (21.132751°, -101.678184°) | (23.634501°, -102.552784°) | |
| 9 | City of Cape Town | 35858 | South Africa | Cape Town | C40 | 2015 | 2007 | 20550172 | 10.00 | Primarily applies to electricity generation. Cape Town’s electricity is supplied through the national energy utility, Eskom. 95% of Eskom’s electricity is coal-generated. The City therefore aimed to decrease its emissions by focusing on decreasing electricity consumption by 10% off a “business-as-usual” baseline by 2012. | 2012 | The current target was included in the City’s Energy and Climate Action Plan (ECAP) and is currently being reviewed and updated as part of the City’s Energy 2040 vision and ECAP update process, to be finalised by end 2015. Updated targets will be provided in the 2016 CDP submission. Current electricity consumption levels city-wide are below 2007 levels. | Primarily applies to electricity generation. Cape Town’s electricity is supplied through the national energy utility, Eskom. 95% of Eskom’s electricity is coal-generated. The City therefore aimed to decrease its emissions by focusing on decreasing electricity consumption by 10% off a “business-as-usual” baseline by 2012. | The current target was included in the City’s Energy and Climate Action Plan (ECAP) and is currently being reviewed and updated as part of the City’s Energy 2040 vision and ECAP update process, to be finalised by end 2015. Updated targets will be provided in the 2016 CDP submission. Current electricity consumption levels city-wide are below 2007 levels. | Short term | (-33.9253°, 18.4239°) | (-30.559482°, 22.937506°) |
| 10 | City of Benicia | 49787 | USA | Benicia | 2015 | 2000 | 487035 | 10.00 | Residential Electricity and Natural Gas Use, Commercial/Industrial Electricity and Natural Gas Use, On Road Transportation, Off Road Equipment, Waste, Water Supply, Treatment, and Delivery | 2020 | Residential Electricity and Natural Gas Use, Commercial/Industrial Electricity and Natural Gas Use, On Road Transportation, Off Road Equipment, Waste, Water Supply, Treatment, and Delivery | Short term | (38.049365°, -122.1585777°) | (37.09024°, -95.712891°) | |||
| 11 | District of Columbia | 31090 | USA | Washington DC | C40 | 2015 | 2006 | 10101168 | 10.00 | Building energy use (residential, commercial, government), transportation (VMTs), solid waste, transit. | 2015 | Building energy use (residential, commercial, government), transportation (VMTs), solid waste, transit. | Short term | (38.9071923°, -77.0368707°) | (37.09024°, -95.712891°) | ||
| 12 | City of Eugene | 54070 | USA | Eugene | 2015 | 1990 | 911965 | 10.00 | Gasoline, Diesel, Natural Gas, Electricity | 2020 | Goal does not speak to the exact emission sources targeted, but these are the primary sources called out in the 2005 inventory - so would be the assummed target GHGs | Gasoline, Diesel, Natural Gas, Electricity | Goal does not speak to the exact emission sources targeted, but these are the primary sources called out in the 2005 inventory - so would be the assummed target GHGs | Short term | (44.0519°, -123.0867°) | (37.09024°, -95.712891°) | |
| 13 | City of Aurora, CO | 55467 | USA | Aurora, CO | 2015 | 2007 | 4641240 | 10.00 | Residential/Commercial/Industrial/Public building energy use, transportation, fuel production and shipping, water/wastewater, food, cement, agricultural, and municipal solid waste. | 2025 | Buckley Air Force Base not included. Methodology developed by University of Colorado Denver | Residential/Commercial/Industrial/Public building energy use, transportation, fuel production and shipping, water/wastewater, food, cement, agricultural, and municipal solid waste. | Buckley Air Force Base not included. Methodology developed by University of Colorado Denver | Short term | (39.729432°, -104.83192°) | (37.09024°, -95.712891°) | |
| 14 | Salt Lake City | 31177 | USA | Salt Lake City | 2015 | 2009 | 4750000 | 10.00 | Energy, Transportation and Material Waste. | 2015 | Goal included in Sustainable Salt Lake Plan 2015 | Energy, Transportation and Material Waste. | Goal included in Sustainable Salt Lake Plan 2015 | Short term | (40.760779°, -111.891047°) | (37.09024°, -95.712891°) | |
| 15 | Singapore Government | 35993 | Singapore | Singapore | C40 | 2015 | 2020 | 77200000 | 11.00 | Total GHG (nation-wide) | 2020 | 7 to 11% reduction (unconditional) from 2020 Business-as-usual (BAU) emissions 16% reduction (conditional of global deal) from 2020 Business-as-usual (BAU) emissions | Total GHG (nation-wide) | 7 to 11% reduction (unconditional) from 2020 Business-as-usual (BAU) emissions 16% reduction (conditional of global deal) from 2020 Business-as-usual (BAU) emissions | Short term | (51.9055346°, 4.4742753°) | (1.352083°, 103.819836°) |
| 16 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2015 | 2005 | 19540000 | 16.00 | all of greenhouse gas | 2020 | all of greenhouse gas | Short term | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | ||
| 17 | City of Park City, UT | 14344 | USA | Park City, UT | 2015 | 2012 | 19590 | 12.00 | Scope 1 Scope 2 Scope 3 | 2013 | January through December 2012 was the period concurrent with the City’s “Goal Year” for our municipal carbon footprint. The City’s goal was to emit 12% fewer greenhouse gas emissions than an anticipated Business as Usual (BAU) path. The City ultimately emitted 18,715 tons of CO2-equivalent (CO2e) emissions during this time, roughly 8.6% above the goal for 2012. , but 875 tons below forecast emission levels of 19,590 tons. | Scope 1 Scope 2 Scope 3 | January through December 2012 was the period concurrent with the City’s “Goal Year” for our municipal carbon footprint. The City’s goal was to emit 12% fewer greenhouse gas emissions than an anticipated Business as Usual (BAU) path. The City ultimately emitted 18,715 tons of CO2-equivalent (CO2e) emissions during this time, roughly 8.6% above the goal for 2012. , but 875 tons below forecast emission levels of 19,590 tons. | Short term | (40.646062°, -111.497973°) | (37.09024°, -95.712891°) | |
| 18 | Comune di Venezia | 36254 | Italy | Venice | C40 | 2015 | 2005 | 524145 | 13.10 | Tertiary (non municipal) buildings, equipment/facilities | 2020 | SEAP action "free-01 - extimated CO2 reduction by 2020: 1072t" SEAP action "free-02 - extimated CO2 reduction by 2020: 292t" SEAP action "free-06 - extimated CO2 reduction by 2020: 997t" SEAP action "free-07 - extimated CO2 reduction by 2020: 22946t" SEAP action "free-08 - extimated CO2 reduction by 2020: 4347t" SEAP action "free-09 - extimated CO2 reduction by 2020: 97t" SEAP action "free-10 - extimated CO2 reduction by 2020: 772t" SEAP action "free-11 - extimated CO2 reduction by 2020: 132t" SEAP action "free-12 -extimated CO2 reduction by 2020: 166t" SEAP action "free-13 - extimated CO2 reduction by 2020: 477t" SEAP action "free-14 [1/2]- extimated CO2 reduction by 2020: 13702t" SEAP action "free-15 - extimated CO2 reduction by 2020: 3941t" SEAP action "free-16 - extimated CO2 reduction by 2020: 19020t" SEAP action "free-17 - extimated CO2 reduction by 2020: 168t" SEAP action "pure-03 - extimated CO2 reduction by 2020: 38238t" total extimated CO2 reduction by 2020: 106367t" | Residential buildings | SEAP action "free-14 [1/2] - extimated CO2 reduction by 2020: 13704t" SEAP action "pure-02 - extimated CO2 reduction by 2020: 55314t" total extimated CO2 reduction by 2020: 69018t" | Short term | (45.4332515°, 12.3210704°) | (41.87194°, 12.56738°) |
| 19 | Municipalidad de La Paz | 50364 | Bolivia | La Paz | 2015 | 2014 | 708 | 14.15 | Emisiones directas de Unidades móviles | 2018 | El Sistema Integrado de Transporte Masivo La Paz Bus, con su primera modalidad de buses el Puma-Katari, pretende además de integrar la ciudad y mejorar la calidad de vida de los ciudadanos, reducir el consumo energético de este sector. El transporte público masivo es aproximadamente 6 veces más eficiente por viajero y por Km, que el vehículo privado, por lo que se espera que exista una reducción significativa en las emisiones de GEI de este sector. | Emisiones directas de Unidades móviles | El Sistema Integrado de Transporte Masivo La Paz Bus, con su primera modalidad de buses el Puma-Katari, pretende además de integrar la ciudad y mejorar la calidad de vida de los ciudadanos, reducir el consumo energético de este sector. El transporte público masivo es aproximadamente 6 veces más eficiente por viajero y por Km, que el vehículo privado, por lo que se espera que exista una reducción significativa en las emisiones de GEI de este sector. | Short term | (-16.5°, -68.15°) | (-16.290154°, -63.588653°) | |
| 20 | City of London, ON | 50558 | Canada | London, ON | 2015 | 1990 | 3290000 | 15.00 | all Scope 1 and 2 emissions within London, excluding rail & air transportation | 2020 | all Scope 1 and 2 emissions within London, excluding rail & air transportation | Short term | (42.9837°, -81.2497°) | (56.130366°, -106.346771°) | |||
| 21 | Roma Capitale | 31110 | Italy | Roma | C40 | 2015 | 2003 | 3593877 | 15.00 | Transport | 2020 | Residential | Short term | (41.8723889°, 12.4801802°) | (41.87194°, 12.56738°) | ||
| 22 | City of Santa Monica | 54110 | USA | Santa Monica | 2015 | 1990 | 924293 | 15.00 | Residential, Commercial, Industrial - electricity & natural gas; Transportation; Solid Waste | 2015 | Residential, Commercial, Industrial - electricity & natural gas; Transportation; Solid Waste | Short term | (34.0219°, -118.4814°) | (37.09024°, -95.712891°) | |||
| 23 | Gobierno Municipal de León de los Aldamas | 50359 | Mexico | León de los Aldamas | 2015 | 2013 | 5012133 | 20.00 | Energía. | 2035 | Meta incluida dentro del Programa Municipal de Cambio Climático del Municipio de León. | Energía, transporte, Residuos. | Meta incluida dentro del Programa Municipal de Cambio Climático del Municipio de León. | Short term | (21.132751°, -101.678184°) | (23.634501°, -102.552784°) | |
| 24 | City of Portland, OR | 14874 | USA | Portland, OR | C40 | 2015 | 1990 | 8989460 | 40.00 | Scope 1 (except fugitive emissions), Scope 2 and "waste disposal" | 2030 | Scope 1 (except fugitive emissions), Scope 2 and "waste disposal" | Short term | (45.52°, -122.6819°) | (37.09024°, -95.712891°) | ||
| 25 | City of Baltimore | 35853 | USA | Baltimore | 2015 | 2010 | 7579144 | 15.00 | Key findings by sector provide guidance for where strategies can perhaps slow future emissions growth. • GHG emissions from the energy sector are anticipated to increase slightly from 79.5 percent (2010) to 79.9 percent (2020). • The transportation-related emissions are anticipated to decrease from 15.6 percent (2010) to 15.2 percent (2020). • The waste-related emissions are anticipated to remain unchanged at 2.8 percent. • Wastewater treatment GHG emissions are expected to remain unchanged at 1.5 percent. • GHG emissions from the water sector are anticipated to remain unchanged at 0.7 percent. All GHG emissions have been calculated and presented in metric tons of carbon dioxide equivalent emissions per year (MT CO2e/yr). | 2020 | Key findings by sector provide guidance for where strategies can perhaps slow future emissions growth. • GHG emissions from the energy sector are anticipated to increase slightly from 79.5 percent (2010) to 79.9 percent (2020). • The transportation-related emissions are anticipated to decrease from 15.6 percent (2010) to 15.2 percent (2020). • The waste-related emissions are anticipated to remain unchanged at 2.8 percent. • Wastewater treatment GHG emissions are expected to remain unchanged at 1.5 percent. • GHG emissions from the water sector are anticipated to remain unchanged at 0.7 percent. All GHG emissions have been calculated and presented in metric tons of carbon dioxide equivalent emissions per year (MT CO2e/yr). | Key findings by sector provide guidance for where strategies can perhaps slow future emissions growth. • GHG emissions from the energy sector are anticipated to increase slightly from 79.5 percent (2010) to 79.9 percent (2020). • The transportation-related emissions are anticipated to decrease from 15.6 percent (2010) to 15.2 percent (2020). • The waste-related emissions are anticipated to remain unchanged at 2.8 percent. • Wastewater treatment GHG emissions are expected to remain unchanged at 1.5 percent. • GHG emissions from the water sector are anticipated to remain unchanged at 0.7 percent. All GHG emissions have been calculated and presented in metric tons of carbon dioxide equivalent emissions per year (MT CO2e/yr). | Key findings by sector provide guidance for where strategies can perhaps slow future emissions growth. • GHG emissions from the energy sector are anticipated to increase slightly from 79.5 percent (2010) to 79.9 percent (2020). • The transportation-related emissions are anticipated to decrease from 15.6 percent (2010) to 15.2 percent (2020). • The waste-related emissions are anticipated to remain unchanged at 2.8 percent. • Wastewater treatment GHG emissions are expected to remain unchanged at 1.5 percent. • GHG emissions from the water sector are anticipated to remain unchanged at 0.7 percent. All GHG emissions have been calculated and presented in metric tons of carbon dioxide equivalent emissions per year (MT CO2e/yr). | Short term | (39.2903848°, -76.6121893°) | (37.09024°, -95.712891°) | |
| 26 | City of Minneapolis | 35879 | USA | Minneapolis | 2015 | 2006 | 5700000 | 15.00 | scope 1, scope 2 and some scope 3 | 2015 | scope 1, scope 2 and some scope 3 | Short term | (44.983334°, -93.26667°) | (37.09024°, -95.712891°) | |||
| 27 | City of Long Beach | 50551 | USA | Long Beach | 2015 | 2007 | 1998883 | 15.00 | electricity | 2020 | electricity | Short term | (33.77005°, -118.193739°) | (37.09024°, -95.712891°) | |||
| 28 | Prefeitura do Rio de Janeiro | 31176 | Brazil | Rio de Janeiro | C40 | 2015 | 2005 | 11933280 | 16.00 | Road Transportation, Railway, Residential, Commercial, Public Sector, fugitive emissions and other, Forest and land use, Urban Solid Waste, wastewater. | 2016 | Measurement of carbon dioxide, methane and nitrous oxide. | Road Transportation, Railway, Residential, Commercial, Public Sector, fugitive emissions and other, Forest and land use, Urban Solid Waste, wastewater. | Measurement of carbon dioxide, methane and nitrous oxide. | Short term | (-22.9054389°, -43.5614471°) | (-14.235004°, -51.92528°) |
| 29 | City of Cleveland | 35859 | USA | Cleveland | 2015 | 2010 | 12791996 | 16.00 | All sources included in GHG inventory | 2020 | The anticipated emissions reductions in 6.1 are for annual emission reductions in the year 2030. These are not cumulative emission reductions up to 2030. | All sources included in GHG inventory | The anticipated emissions reductions in 6.1 are for annual emission reductions in the year 2030. These are not cumulative emission reductions up to 2030. | Short term | (41.49932°, -81.6943605°) | (37.09024°, -95.712891°) | |
| 30 | Prefeitura do Rio de Janeiro | 31176 | Brazil | Rio de Janeiro | C40 | 2015 | 2005 | 11933280 | 20.00 | Road Transportation, Railway, Residential, Commercial, Public Sector, fugitive emissions and other, Forest and land use, Urban Solid Waste, wastewater. | 2020 | Measurement of carbon dioxide, methane and nitrous oxide. | Road Transportation, Railway, Residential, Commercial, Public Sector, fugitive emissions and other, Forest and land use, Urban Solid Waste, wastewater. | Measurement of carbon dioxide, methane and nitrous oxide. | Short term | (-22.9054389°, -43.5614471°) | (-14.235004°, -51.92528°) |
| 31 | Municipality of Belo Horizonte | 35848 | Brazil | Belo Horizonte | 2015 | 2007 | 3176966 | 20.00 | Buildings, electricity, fuel and sanitation/waste treatment and discharge | 2020 | All this items are in discussion inside the Plan For GHG Reduction - PREGEE but our target date will be 2030. The plan will be released in 2013, July, and will anticipate the reduction in the emissions growth curve. | Buildings, electricity, fuel and sanitation/waste treatment and discharge | All this items are in discussion inside the Plan For GHG Reduction - PREGEE but our target date will be 2030. The plan will be released in 2013, July, and will anticipate the reduction in the emissions growth curve. | Short term | (38.5198325°, -8.8695345°) | (-14.235004°, -51.92528°) | |
| 32 | Halifax Regional Municipality | 50543 | Canada | Halifax | 2015 | 2002 | 6775289 | 20.00 | Electricity, Natural Gas, Fuel Oil, DIesel, Gasoline, Waste | 2020 | World Energy Cities Calgary CLimate Accord | Electricity, Natural Gas, Fuel Oil, DIesel, Gasoline, Waste | World Energy Cities Calgary CLimate Accord | Short term | (44.6478°, -63.5714°) | (56.130366°, -106.346771°) | |
| 33 | City of Copenhagen | 31009 | Denmark | Copenhagen | C40 | 2015 | 2005 | 2541000 | 20.00 | All sources | 2015 | All sources | Short term | (55.6760968°, 12.5683371°) | (56.26392°, 9.501785°) | ||
| 34 | City of Helsinki | 8242 | Finland | Helsinki | 2015 | 1990 | 3615000 | 20.00 | Energy consumption in the area, transport emissions, waste management, agriculture, industry | 2020 | City Council Strategy 2013-2016 | Energy consumption in the area, transport emissions, waste water management | City's energy policy lines, Covenant of Mayors. Target achieved in 2013. | Short term | (60.1733244°, 24.9410248°) | (61.92411°, 25.748151°) | |
| 35 | Amiens Métropole | 54425 | France | Amiens Métropole | 2015 | 2012 | 630000 | 20.00 | 2020 | Short term | (49.892°, 2.299°) | (46.227638°, 2.213749°) | |||||
| 36 | Dublin City Council | 31313 | Ireland | Dublin | 2015 | 2006 | 5054000 | 20.00 | all | 2020 | all | Short term | (53.344479°, -6.270843°) | (53.41291°, -8.24389°) | |||
| 37 | Comune di Padova | 36494 | Italy | Padova | 2015 | 2005 | 1892158 | 20.00 | Total inventory (sectors and specific projects see below) | 2020 | In addition to the emission-reducing activities mentioned below, the emission-reducing activities on local government level are part of the total reduction aim of 20%. | Total inventory (sectors and specific projects see below) | In addition to the emission-reducing activities mentioned below, the emission-reducing activities on local government level are part of the total reduction aim of 20%. | Short term | (45.411639°, 11.8783489°) | (41.87194°, 12.56738°) | |
| 38 | Comune di Udine | 36518 | Italy | Udine | 2015 | 2006 | 692479 | 20.00 | electricity production, agriculture, transports, industry, commercial and residential | 2020 | electricity production, agriculture, transports, industry, commercial and residential | Short term | (46.0667°, 13.2333°) | (41.87194°, 12.56738°) | |||
| 39 | City of Warsaw | 31185 | Poland | Warsaw | C40 | 2015 | 2007 | 12952984 | 20.00 | all sources of CO2 emissions | 2020 | Climate change is a fact but not everybody is aware of this. Warsaw treats this issue with care. Cities are responsible for 80% of so-called ‘anthropogenic’ CO2 emission. Climate is one of the most important factors in terms of the functioning of whole ecosystems, economies, and most importantly, of societies. Therefore Warsaw treats sustainable development as a priority in all areas of the City’s activities. Only through coordinated and harmonised activities we can achieve the aim of carbon dioxide emissions reduced by 20% by 2020 in accordance with the Covenant of Mayors signed by Warsaw. In the light of the research conducted, carbon dioxide emission per capita in Warsaw stands at 6.29 tons a year. Compared to 1990, it has increased by 15.5%. | all sources of CO2 emissions | Climate change is a fact but not everybody is aware of this. Warsaw treats this issue with care. Cities are responsible for 80% of so-called ‘anthropogenic’ CO2 emission. Climate is one of the most important factors in terms of the functioning of whole ecosystems, economies, and most importantly, of societies. Therefore Warsaw treats sustainable development as a priority in all areas of the City’s activities. Only through coordinated and harmonised activities we can achieve the aim of carbon dioxide emissions reduced by 20% by 2020 in accordance with the Covenant of Mayors signed by Warsaw. In the light of the research conducted, carbon dioxide emission per capita in Warsaw stands at 6.29 tons a year. Compared to 1990, it has increased by 15.5%. | Short term | (52.2296756°, 21.0122287°) | (51.919438°, 19.145136°) |
| 40 | Barreiro | 50679 | Portugal | Barreiro | 2015 | 2008 | 347987 | 20.00 | Electricity and petroleum fuels | 2020 | Electricity and petroleum fuels | Short term | (38.660815°, -9.079072°) | (39.399872°, -8.224454°) | |||
| 41 | Roma Capitale | 31110 | Italy | Roma | C40 | 2015 | 2003 | 4174937 | 23.00 | Transport | 2020 | Transport | Short term | (41.8723889°, 12.4801802°) | (41.87194°, 12.56738°) | ||
| 42 | City of Yokohama | 31113 | Japan | Yokohama | C40 | 2015 | 2005 | 19540000 | 24.00 | all of greenhouse gas | 2030 | all of greenhouse gas | Short term | (35.4437078°, 139.6380256°) | (36.204824°, 138.252924°) | ||
| 43 | City of Lisbon | 36159 | Portugal | Lisbon | 2015 | 2002 | 3887013 | 20.00 | Community emissions | 2020 | The current municipal council mandate will finish in 2017. Therefore it is not possible to take commitments beyond 2017. Notice thus that the reduction target and the activities to reduce emissions city-wide assume that the proposed actions shall continue from 2017 to 2020. | Community emissions | The current municipal council mandate will finish in 2017. Therefore it is not possible to take commitments beyond 2017. Notice thus that the reduction target and the activities to reduce emissions city-wide assume that the proposed actions shall continue from 2017 to 2020. | Short term | (38.7222524°, -9.1393366°) | (39.399872°, -8.224454°) | |
| 44 | Município de Moita | 55442 | Portugal | Moita | 2015 | 2008 | 15177 | 20.00 | Entire local government inventory | 2020 | Entire local government inventory | Short term | (41.30284°, -8.65731°) | (39.399872°, -8.224454°) | |||
| 45 | Funchal | 50681 | Portugal | Funchal | 2015 | 2010 | 515593 | 20.00 | The Municipality will intervene in several fields such as buildings, electricity, primary, secundary and tertiary sector, transportation, land planning, among other. | 2020 | The Municipality is a member of the Covenant of Mayors, an european compromise to reduce the CO2 levels in 20%. | The Municipality will intervene in several fields such as buildings, electricity, primary, secundary and tertiary sector, transportation, land planning, among other. | The Municipality is a member of the Covenant of Mayors, an european compromise to reduce the CO2 levels in 20%. | Short term | (32.666933°, -16.924055°) | (39.399872°, -8.224454°) | |
| 46 | Suwon city | 44185 | South Korea | Suwon | 2015 | 2005 | 601495 | 20.00 | Suwon total emissions | 2030 | Suwon total emissions | Short term | (37.2635727°, 127.0286009°) | (35.907757°, 127.766922°) | |||
| 47 | Ansan city | 44191 | South Korea | Ansan | 2015 | 2010 | 20.00 | City hall, ward office, businesses, community service center buildings and cars. (scope 1 + scope 2) | 2015 | do not wish to disclose baseline emissions | City hall, ward office, businesses, community service center buildings and cars. (scope 1 + scope 2) | do not wish to disclose baseline emissions | Short term | (37.321878°, 126.830885°) | (35.907757°, 127.766922°) | ||
| 48 | Gwangyang Metropolitan Government | 44295 | South Korea | Gwangyang | 2015 | 2008 | 3666 | 20.00 | Scope 1 + Scope 2 | 2015 | GHG/Energy Target Management Scheme for public affairs | Scope 1 + Scope 2 | GHG/Energy Target Management Scheme for public affairs | Short term | (34.940697°, 127.695888°) | (35.907757°, 127.766922°) | |
| 49 | Uljin county | 50716 | South Korea | Uljin | 2015 | 2009 | 230497 | 20.00 | 2015 | Short term | (36.993066°, 129.400419°) | (35.907757°, 127.766922°) | |||||
| 50 | Ayuntamiento de Madrid | 31171 | Spain | Madrid | C40 | 2015 | 1990 | 12653000 | 20.00 | Total | 2020 | Total | Short term | (40.1076253°, -3.3875673°) | (40.463667°, -3.74922°) |
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Emissions reduction targets for all reporting cities in 2015. Includes baseline emissions, baseline year, percentage reduction target, and other details. Some cities report multiple targets.
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