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2018 - 2019 City-wide Emissions Reduction Targets
| Row number | Year Reported to CDP | Account Number | Organization | City | Country | CDP region | Reporting authority | Access | City boundary | Type of target | Sector | Identify and explain sources that differ from the inventory | Target boundary relative to city boundary | Base year | Year of target implementation | Base year emissions (metric tonnes CO2e) | Percentage reduction target | Target year | Target year absolute emissions (metric tonnes CO2e) | Projected population in target year | Intensity unit (emissions per) | Base year emissions per intensity unit (metric tonnes CO2e per denominator) | Estimated business as usual absolute emissions in target year (metric tonnes CO2e) | Percentage of target achieved so far | Indicate which sector(s) the target applies | Description of the target and the modelling methodology(ies) and parameters used to define it | Does this target align with the global 1.5 - 2°C pathway set out in the Paris agreement? | Does this target align to a requirement from a higher level of (sub-national) government? | Target description | Population | Population year | City Location | Last update |
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| 851 | 2018 | 58310 | City of Roanoke | Roanoke | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-79.9414, 37.271]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 852 | 2019 | 74418 | Town of Breckenridge, CO | Breckenridge | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 2005 | 2017 | 793077 | 80 | 2050 | 158615 | 0 | Other: All - its a total sector target | Do not know | Yes | State of Colorado goals set in 2019. | 5035 | 2016 | {"type"=>"Point", "coordinates"=>[106.038, 39.4817]} | 2020-05-01T04:02:41.860 | ||||||
| 853 | 2019 | 58569 | City of Podgorica | Podgorica | Montenegro | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2008 | 2011 | 267 | 20 | 2020 | 2020 | 0 | Commercial buildings, Residential buildings | Do not know | Yes | The CO2 emissions of the building sector in 2017 are higher than in 2008. It can be assumed that one of the reasons is the increased number of newly built objects, so that the measures applied didn’t have the proper effects. This situation will be analyzed. | 185937 | 2011 | {"type"=>"Point", "coordinates"=>[19.2594, 42.4304]} | 2020-05-01T04:02:41.860 | ||||||
| 854 | 2018 | 54443 | Landeshauptstadt Magdeburg | Magdeburg | Germany | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 2012 | 86 | 2050 | GHG sources towhich the target applies:CO2-City-wideSolutions of the municipal council | 238000 | 2015 | {"type"=>"Point", "coordinates"=>[11.6276, 52.1205]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 855 | 2019 | 31155 | City of Buenos Aires | Buenos Aires | Argentina | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2008 | 2015 | 12742478 | 30 | 2030 | 17314751 | 8 | Commercial buildings, Heating and cooling supply, Public facility, Residential buildings, Transport, Water | Se elaboró un escenario tendencial de emisiones (Business as Usual) utilizando como base las proyecciones elaboradas por el gobierno nacional para la elaboración de su NDC (Contribución Determinada a nivel Nacional), publicada en el año 2016. A partir de la reducción de emisiones estimada por las medidas de mitigación planteadas a 2020, se determinó una meta de mitigación a 2020 y 2030. | No | No | La meta de mitigación actual de la Ciudad de Buenos Aires es la establecida en el Plan de Acción frente al Cambio Climático, elaborado en el año 2015. Dicha meta fue elaborada a partir de un escenario Business as Usual construido con información provista por el gobierno nacional, por lo cual dicha meta se encuentra en linea con la NDC de Argentina presentada en el año 2016. Actualmente, la Ciudad de Buenos Aires comenzó el proceso de elaboración de un nuevo plan de acción climática, participando en el Programa de Asistencia Técnica para la Planificación Climática junto a C40, con el objetivo de elaborar un plan de acción climática en línea con el Acuerdo de París. Se espera que este nuevo plan de acción sea publicado en el año 2020, y contenga una meta de mitigación a 2050 que tienda a la neutralidad de carbono, como así también metas intermedias de mitigación mucho más ambiciosas. | 3059122 | 2016 | {"type"=>"Point", "coordinates"=>[-58.3816, -34.6037]} | 2020-05-01T04:02:41.860 | |||||
| 856 | 2019 | 839982 | Sepang Municipal Council | Malaysia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Transport | The goal is for the transport sector of Cyberjaya to reduce its transport related emissions by 40.0% in 2025 based on its baseline transport energy consumption of 2016. | Smaller – covers only part of the city | 2016 | 2025 | 69871 | 40 | 2025 | 41923.56 | 1 | Transport | Do not know | Yes | The emission reduction is projected from the proposed action plans that emphasize on promoting smart and integrated mobility as well as encouraging cycling and walkability elements. As shown in the table above, changes in the modal split that reduces dependency on private vehicles have resulted in a significant decrease in CO2 emissions. In addition, promotion on other green mobility like walking and cycling further reduces the amount of CO2 emission from the Transport Sector. | 207354 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 857 | 2018 | 55328 | Município de Câmara de Lobos | Câmara de Lobos | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-16.9833, 32.6333]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 858 | 2018 | 52638 | Prefeitura de Aracaju | Aracaju | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-37.0731, -10.9472]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 859 | 2018 | 35859 | City of Cleveland | Cleveland | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2010 | 12834200 | 80 | 2050 | 3 | This goal is science-based and designed to be bold, yet achievable. The Climate Action Plan does not include detail on how much each emission reduction activity contributes. This is more of a visionary goal. | 396815 | 2010 | {"type"=>"Point", "coordinates"=>[-81.6944, 41.4993]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 860 | 2019 | 834278 | Municipality of Resistencia | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2019 | 813428.67 | 18 | 2030 | 1147358.44 | Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e . De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%. Este aumento será considerado para la preparación del escenario BAU de Resistencia donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Como se mostró en el punto 3.1.1.6, éste nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+. Para correlacionar el escenario Business as Usual nacional con el de Resistencia se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2014-2030 a nivel nacional y local. Factor de ajuste=(variación población 2014-2030 Resistencia)/(variación población 2014-2030 Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 10,65% en el municipio. Por lo tanto, el factor de ajuste resulta de 0,6744. Así, el aumento de emisiones proyectado para Resistencia será del 41,05%.Aumento de emisiones Resistencia 2014-2030(%)=60,87%*0,6744=41,05%Tomando de base el inventario BÁSICO de Resistencia del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 1.147.358,44tCO2e.Emisiones Resistencia al 2030 (tCO2e)=813428,67tCO2e*1,4105=1147358,44tCO2eTomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo indicado en el Pacto de Alcaldes por el Clima y la Energía, se establece una reducción mínima de emisiones en la ciudad de Resistencia del 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. | Do not know | No | Se espera que la reducción de emisiones propuesta por Resistencia y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 299123 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 861 | 2018 | 31117 | City of Toronto | Toronto | Canada | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 27051617 | 65 | 2030 | 52 | 2731571 | 2016 | {"type"=>"Point", "coordinates"=>[-79.3832, 43.6532]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 862 | 2019 | 35880 | Municipality of Porto Alegre | Porto Alegre | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[51, 30]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 863 | 2018 | 50671 | Município de Fafe | Fafe | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2008 | 38991 | 21 | 2020 | 50633 | 2011 | {"type"=>"Point", "coordinates"=>[-8.17286, 41.4508]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 864 | 2019 | 74488 | City of Beverly, MA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 41648 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 865 | 2018 | 73706 | City of Alameda | Alameda | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2005 | 367294 | 25 | 2020 | 14 | Expected 16 percent reduction by 2020. | 75961 | 2017 | {"type"=>"Point", "coordinates"=>[122.163, 37.4522]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 866 | 2019 | 73759 | Jambi City | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 591134 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 867 | 2019 | 60318 | Prefeitura de Porto Velho | Porto Velho | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 428527 | 2010 | {"type"=>"Point", "coordinates"=>[-40.3776, -20.3338]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 868 | 2019 | 69848 | Municipio de Loja | Loja | Ecuador | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | No difiere. | Same – covers entire city and nothing else | 2015 | 2016 | 4238 | 24 | 2040 | 3854936 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Residential buildings, Transport, Water | El objetivo principal es establecer determinar la Huella Hidria y de Carbono de la ciudad de Loja, Contribuir a la reducción de las emisiones de GEI de los sectores con mayor aporte a la Huella de Carbono de Loja (transporte, residencial/comercial, residuos sólidos, industrial), priorizando la movilidad sustentable, proyectando cambios en la política de energía urbana y promoviendo la eficiencia energética. Esto atraves de la Metodologia GPC global protocol for community-scale Greenhouse gas emissiones | Yes - 1.5 °C | No | Emisiones acumuladas al año 2040. Aun no se hizo el seguimiento al cumplimiento de los proyectos considerados | 214855 | 2010 | {"type"=>"Point", "coordinates"=>[-3.99313, -79.2042]} | 2020-05-01T04:02:41.860 | ||||
| 869 | 2019 | 31150 | Bangkok Metropolitan Administration | Bangkok | Thailand | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Local government area within a city / metropolitan area | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2013 | 2020 | 25600000 | 13.22 | 2020 | 26850000 | 96.13 | Other: Public sector (electrical consumption of BMA building etc.) | Do not know | 5676648 | 2018 | {"type"=>"Point", "coordinates"=>[100.556, 13.7712]} | 2020-05-01T04:02:41.860 | ||||||||
| 870 | 2019 | 73252 | Pemba Municipality | Pemba | Mozambique | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | No target | 221316 | 2017 | {"type"=>"Point", "coordinates"=>[40.5178, -12.9732]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 871 | 2019 | 839667 | Municipio de Guanagazapa | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 20083 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 872 | 2019 | 31052 | City of Cardiff | Cardiff | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Other | Same – covers entire city and nothing else | 2005 | 2682000 | 26 | 2020 | 38 | Other | Do not know | Do not know | This 26% reduction target is for per capita emissions (NB Cardiff is the UKs fastest growing city). The per capita carbon emissions were 8.4 tonnes in 2005 and are 4.6 in 2017, demonstrating a 45% reduction in per capita emissions. (The reduction in absolute emissions from 2005 to 2017 is 38%) | 365000 | 2018 | {"type"=>"Point", "coordinates"=>[-3.17909, 51.4816]} | 2020-05-01T04:02:41.860 | ||||||||
| 873 | 2019 | 60236 | Municipality of Trelleborg | Trelleborg | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Fixed level target | Transport | Larger – covers the whole city and adjoining areas | 2015 | 2020 | 45000 | Transport | No | Car usage in the Municipality of Trelleborg is around 67 %, and the target goal is 44 % until 2020. In 2018 the car usage where 68 %. The trend is going the opposite direction. | 44854 | 2018 | {"type"=>"Point", "coordinates"=>[13.1569, 55.3751]} | 2020-05-01T04:02:41.860 | |||||||||||
| 874 | 2019 | 35897 | Municipality of Campinas | Campinas | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Independent city | Base year emissions (absolute) target | Other: Agricultura, floresta e uso da terra (AFOLU) | Same – covers entire city and nothing else | 2016 | 2020 | 50559.6 | 5.9 | 2020 | 47576.58 | 0 | Other: Rebanhos, emissões agregadas e outras de não-CO2 | Yes - 2 °C | No | A meta da cidade é menos ambiciosa (em valor absoluto) do que a NDC nacional devido ao fato de que a cidade de Campinas se configura como uma área urbana já consolidada onde o range de redução das emissões de GEE é notadamente mais restrito que o nacional. | 1194094 | 2018 | {"type"=>"Point", "coordinates"=>[-46.9372, -22.744]} | 2020-05-01T04:02:41.860 | ||||||
| 875 | 2018 | 31175 | City of Paris | Paris | France | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Stationary energy (buildings) | 2004 | 4928113 | 30 | 2020 | 39 | The percentage of target achieved so far is calculated on 2014 data | 2265886 | 2015 | {"type"=>"Point", "coordinates"=>[2.35222, 48.8566]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 876 | 2019 | 31166 | Jakarta City Government | Jakarta | Indonesia | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Special city | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2012 | 2030 | 11950000 | 30 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Jakarta's target is 1% bigger than NDC target. | 10075310 | 2019 | {"type"=>"Point", "coordinates"=>[106.865, -6.1751]} | 2020-05-01T04:02:41.860 | ||||||||||
| 877 | 2019 | 50382 | Municipio de Mérida | Mérida | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2014 | 2017 | 3262192 | 25 | 2030 | 9786576 | Commercial buildings, Energy industry, Residential buildings, Transport | 892363 | 2015 | {"type"=>"Point", "coordinates"=>[-89.5926, 20.9674]} | 2020-05-01T04:02:41.860 | ||||||||||
| 878 | 2019 | 35904 | Kolkata Metropolitan Area | Kolkata | India | South and West Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[88.3639, 22.5726]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 879 | 2019 | 10894 | City of Los Angeles | Los Angeles | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2019 | 36200000 | 50 | 2025 | 18100000 | 49 | Commercial buildings, Energy industry, Industrial facilities, Other: Waste, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Do not know | Target is based on scenario modelling that was determined to be consistent with a 1.5C pathway, per C40 climate action planning guidelines for cities. Compliance with C40 guidelines was assessed with an independent review. | 4021488 | 2017 | {"type"=>"Point", "coordinates"=>[-118.244, 34.0522]} | 2020-05-01T04:02:41.860 | ||||||
| 880 | 2019 | 839982 | Sepang Municipal Council | Malaysia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Energy | The goal is for the energy sector of Cyberjaya to reduce its energy emissions by 17.5% in 2025 based on its baseline energy consumption of 2016. | Smaller – covers only part of the city | 2016 | 2025 | 97969.76 | 17.5 | 2025 | 80832.5 | 1 | Commercial buildings, Industrial facilities, Other: Street lighting, Public facility, Residential buildings | Do not know | Yes | Building energy consumption is the largest contributor in the carbon emissions profile for Cyberjaya. It accounts for approximately 52.7% of our cities carbon footprint. The focus on reducing the carbon intensity of our buildings therefore, must be on improving energy efficiency in existing buildings. In Malaysia, only a small percentage of energy is currently generated from non-renewable sources. As such, reducing the current level of energy consumption is the primary focus in order to meet the reduction targets. It is unknown if the city target is less ambitious than the NDC. | 207354 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 881 | 2019 | 16581 | City of Seattle | Seattle | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2008 | 2011 | 3708000 | 100 | 2050 | 0 | 6 | Commercial buildings, Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | 730400 | 2018 | {"type"=>"Point", "coordinates"=>[-122.332, 47.6062]} | 2020-05-01T04:02:41.860 | ||||||||
| 882 | 2019 | 60267 | Prefeitura de Guarujá | Guarujá | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 290752 | 2010 | {"type"=>"Point", "coordinates"=>[-46.2569, -23.9946]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 883 | 2019 | 10495 | City of Las Vegas | Las Vegas | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 652918 | 2018 | {"type"=>"Point", "coordinates"=>[-115.14, 36.1699]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 884 | 2019 | 74428 | City of South Miami, FL | South Miami | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | Base year emissions (absolute) target | 12500 | 2017 | {"type"=>"Point", "coordinates"=>[-80.1918, 25.7617]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 885 | 2019 | 31051 | Coventry City Council | Coventry | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | Local government area within a city / metropolitan area | Base year emissions (absolute) target | All emissions sources included in city inventory | N/A | Same – covers entire city and nothing else | 2005 | 2012 | 2068700 | 27.5 | 2020 | 1499808 | 35.4 | Commercial buildings, Energy industry, Residential buildings, Transport | No | No | Under the UK Carbon Budgets, the UK had a target to reduce its emissions by 31% by 2017 and 37% by 2022. Our target was 27.5% by 2020 which falls well below national targets. | 360100 | 2017 | {"type"=>"Point", "coordinates"=>[-1.51217, 52.4066]} | 2020-05-01T04:02:41.860 | |||||
| 886 | 2019 | 73736 | Tafi Viejo | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 887 | 2018 | 43975 | Municipalidad de Magdalena del Mar | Magdalena del Mar | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | 779.22 | 30 | 2030 | 59497 | 2017 | {"type"=>"Point", "coordinates"=>[-77.067, -12.0917]} | 2020-05-01T04:02:29.947 | ||||||||||||||||
| 888 | 2019 | 826239 | Alcaldia de Sopó | Sopó | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 27932 | 2017 | {"type"=>"Point", "coordinates"=>[-73.9384, 4.9075]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 889 | 2018 | 42178 | Distrito Metropolitano de Quito | Quito | Ecuador | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-78.5167, -0.2333]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 890 | 2020 | 74575 | Dane County | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:43.633 | |||||||||||||||||||||||||
| 891 | 2019 | 31173 | Comune di Milano | Milano | Italy | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2018 | 7418000 | 45 | 2030 | 4080 | 17 | Yes - 2 °C | Yes | The EU has a target of 40% emission reduction by 2030.Following the "effort sharing decision", Italy has a target of -33% in non ETS sectorsMIlan target is therefore coherent with the national target, and with the policies of the National Plan for Climate and Energy (whose Strategic environmental Assessment i s currently in progress) | 1395274 | 2018 | {"type"=>"Point", "coordinates"=>[9.08635, 45.8026]} | 2020-05-01T04:02:41.860 | |||||||
| 892 | 2019 | 54681 | Prefeitura Municipal de Araçatuba | Araçatuba | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 195874 | 2019 | {"type"=>"Point", "coordinates"=>[-50.4328, -21.2089]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 893 | 2018 | 59158 | Moroni City | Moroni | Comoros | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[43.2473, -11.7172]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 894 | 2018 | 74443 | City of Clinton, IA | Clinton | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-90.192, 41.839]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 895 | 2018 | 54092 | City of Ann Arbor | Ann Arbor | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2000 | 1681926 | 90 | 2050 | 1177700 | 2017 | {"type"=>"Point", "coordinates"=>[-83.743, 42.2808]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 896 | 2019 | 73530 | Town of Lexington, MA | Lexington, MA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2012 | 2018 | 520023 | 100 | 2050 | 0 | 9 | Heating and cooling supply, Industrial facilities, Other: Also applies to Food & Waste, Public facility, Residential buildings, Transport | Yes - 2 °C | Yes, but it exceeds its scale or requirement | The Global Warming Solutions Act target at the Massachusetts state level is 80% reduction by 2050. We are aiming to exceed the state's goals. | 31394 | 2010 | {"type"=>"Point", "coordinates"=>[-71.2269, 42.4443]} | 2020-05-01T04:02:41.860 | ||||||
| 897 | 2019 | 36501 | Comune di Prato | Prato | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | ||||||||||||||||||||||||
| 898 | 2019 | 54388 | Iskandar Regional Development Authority | Iskandar | Malaysia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability | public | Other: Region | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2010 | 2012 | 58 | 2025 | 18900000 | Metric tonnes of CO2e per unit GDP | 0.25 | 22.2 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Yes, and it exceeds its scale or requirement | Our target was prepared before the Paris Agreement . We are planning to align our target through a review of the current Low Carbon Society Blueprint for Iskandar Malaysia 2025.Under Paris Agreement, Malaysia renewed its commitment to reduce 45% emission intensity by 2030. In support of the NDC, Iskandar Malaysia targets to reduce 58% of carbon intensity by 2025 through the 12 Actions identified in the Low Carbon Society Blueprint for Iskandar Malaysia. Thus, our target is more ambitious than our country's NDC. | 2090000 | 2017 | {"type"=>"Point", "coordinates"=>[100.992, 1.45556]} | 2020-05-01T04:02:41.860 | |||||
| 899 | 2019 | 14344 | City of Park City, UT | Park City | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | N/A | Same – covers entire city and nothing else | 2016 | 2030 | 11444 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Tourism, including air travel, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Park City will be carbon neutral by 2030. 100% renewable electricity will be supplied to all accounts within Park City by 2030. There will be a short opt-out period if individual residents/businesses do not want to have renewable electricity. By 2030, the amount of carbon released by the entire city should be less than or equal to the amount of carbon sequestered on land within city borders or upon land upon which Park City has easements. No official decision has been made on how Park City will meet its 2030 goal if the amount of carbon released is greater that the city's sequestration potential, but the option of a local carbon offsetting mechanism is being explored.This goal was moved up from 2032 to 2030 in November 2018 to reflect the latest IPCC report and the potential 2030 Olympics in Salt Lake City/Park City.No progress has been reported, because a second city-wide inventory has not been completed since the adoption of this goal.This target is more ambitious that the United States' NDC. | 8376 | 2016 | {"type"=>"Point", "coordinates"=>[-111.498, 40.6461]} | 2020-05-01T04:02:41.860 | |||||||||
| 900 | 2019 | 840925 | Prefeitura de Indiaroba | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 17957 | 2019 | 2020-05-01T04:02:41.860 |
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Description
This data was collected in partnership by CDP and ICLEI - Local Governments for Sustainability.
The dataset contains all city-wide emissions reduction targets publicly disclosed in 2018 and 2019.
Please note that the 2018 data on city-wide emissions reduction targets is still in the process of being updated. If you have any questions, please contact cities@cdp.net.
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