Go back to the interactive dataset

2018 - 2019 City-wide Emissions Reduction Targets

Row numberYear Reported to CDPAccount NumberOrganizationCityCountryCDP regionReporting authorityAccessCity boundaryType of targetSectorIdentify and explain sources that differ from the inventoryTarget boundary relative to city boundaryBase yearYear of target implementationBase year emissions (metric tonnes CO2e)Percentage reduction targetTarget yearTarget year absolute emissions (metric tonnes CO2e)Projected population in target yearIntensity 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 farIndicate which sector(s) the target appliesDescription of the target and the modelling methodology(ies) and parameters used to define itDoes 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 descriptionPopulationPopulation yearCity LocationLast update
851201858310City of RoanokeRoanokeUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for Sustainabilitypublic{"type"=>"Point", "coordinates"=>[-79.9414, 37.271]}2020-05-01T04:02:29.947
852201974418Town of Breckenridge, COBreckenridgeUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityBase year emissions (absolute) targetAll emissions sources included in city inventoryLarger – covers the whole city and adjoining areas200520177930778020501586150Other: All - its a total sector targetDo not knowYesState of Colorado goals set in 2019.50352016{"type"=>"Point", "coordinates"=>[106.038, 39.4817]}2020-05-01T04:02:41.860
853201958569City of PodgoricaPodgoricaMontenegroEuropeCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityBase year emissions (absolute) targetEnergySame – covers entire city and nothing else2008201126720202020200Commercial buildings, Residential buildingsDo not knowYesThe 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.1859372011{"type"=>"Point", "coordinates"=>[19.2594, 42.4304]}2020-05-01T04:02:41.860
854201854443Landeshauptstadt MagdeburgMagdeburgGermanyEuropeCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityAbsolute target2012862050GHG sources towhich the target applies:CO2-City-wideSolutions of the municipal council2380002015{"type"=>"Point", "coordinates"=>[11.6276, 52.1205]}2020-05-01T04:02:29.947
855201931155City of Buenos AiresBuenos AiresArgentinaLatin AmericaC40, CDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityBaseline scenario (business as usual) targetAll emissions sources included in city inventorySame – covers entire city and nothing else2008201512742478302030173147518Commercial buildings, Heating and cooling supply, Public facility, Residential buildings, Transport, WaterSe 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.NoNoLa 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.30591222016{"type"=>"Point", "coordinates"=>[-58.3816, -34.6037]}2020-05-01T04:02:41.860
8562019839982Sepang Municipal CouncilMalaysiaSoutheast Asia and OceaniaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityBase year emissions (absolute) targetTransportThe 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 city201620256987140202541923.561TransportDo not knowYesThe 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.20735420102020-05-01T04:02:41.860
857201855328Município de Câmara de LobosCâmara de LobosPortugalEuropeCDP Cities, ICLEI - Local Governments for Sustainabilitypublic{"type"=>"Point", "coordinates"=>[-16.9833, 32.6333]}2020-05-01T04:02:29.947
858201852638Prefeitura de AracajuAracajuBrazilLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainabilitypublic{"type"=>"Point", "coordinates"=>[-37.0731, -10.9472]}2020-05-01T04:02:29.947
859201835859City of ClevelandClevelandUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityAbsolute targetTotal city-wide emissions2010128342008020503This 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.3968152010{"type"=>"Point", "coordinates"=>[-81.6944, 41.4993]}2020-05-01T04:02:29.947
8602019834278Municipality of ResistenciaArgentinaLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityBaseline scenario (business as usual) targetOther: Energía, Transporte y DesechosSe 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 else20142019813428.671820301147358.44Industrial facilities, Other: Residuos, Public facility, Residential buildings, TransportDurante 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 knowNoSe espera que la reducción de emisiones propuesta por Resistencia y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales.29912320142020-05-01T04:02:41.860
861201831117City of TorontoTorontoCanadaNorth AmericaC40, CDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityAbsolute targetTotal city-wide emissions1990270516176520305227315712016{"type"=>"Point", "coordinates"=>[-79.3832, 43.6532]}2020-05-01T04:02:29.947
862201935880Municipality of Porto AlegrePorto AlegreBrazilLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainabilitypublic{"type"=>"Point", "coordinates"=>[51, 30]}2020-05-01T04:02:41.860
863201850671Município de FafeFafePortugalEuropeCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityAbsolute targetTotal city-wide emissions200838991212020506332011{"type"=>"Point", "coordinates"=>[-8.17286, 41.4508]}2020-05-01T04:02:29.947
864201974488City of Beverly, MAUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityNo target4164820192020-05-01T04:02:41.860
865201873706City of AlamedaAlamedaUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityAbsolute targetTotal city-wide emissions200536729425202014Expected 16 percent reduction by 2020.759612017{"type"=>"Point", "coordinates"=>[122.163, 37.4522]}2020-05-01T04:02:29.947
866201973759Jambi CityIndonesiaSoutheast Asia and OceaniaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityNo target59113420172020-05-01T04:02:41.860
867201960318Prefeitura de Porto VelhoPorto VelhoBrazilLatin AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityBase year emissions (absolute) target4285272010{"type"=>"Point", "coordinates"=>[-40.3776, -20.3338]}2020-05-01T04:02:41.860
868201969848Municipio de LojaLojaEcuadorLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityBaseline scenario (business as usual) targetAll emissions sources included in city inventoryNo difiere.Same – covers entire city and nothing else20152016423824204038549360Commercial buildings, Energy industry, Heating and cooling supply, Residential buildings, Transport, WaterEl 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 emissionesYes - 1.5 °CNoEmisiones acumuladas al año 2040. Aun no se hizo el seguimiento al cumplimiento de los proyectos considerados2148552010{"type"=>"Point", "coordinates"=>[-3.99313, -79.2042]}2020-05-01T04:02:41.860
869201931150Bangkok Metropolitan AdministrationBangkokThailandSoutheast Asia and OceaniaC40, CDP Cities, ICLEI - Local Governments for SustainabilitypublicLocal government area within a city / metropolitan areaBase year emissions (absolute) targetEnergySame – covers entire city and nothing else201320202560000013.2220202685000096.13Other: Public sector (electrical consumption of BMA building etc.)Do not know56766482018{"type"=>"Point", "coordinates"=>[100.556, 13.7712]}2020-05-01T04:02:41.860
870201973252Pemba MunicipalityPembaMozambiqueAfricaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicLocal government area within a city / metropolitan areaNo target2213162017{"type"=>"Point", "coordinates"=>[40.5178, -12.9732]}2020-05-01T04:02:41.860
8712019839667Municipio de GuanagazapaGuatemalaLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityNo target2008320192020-05-01T04:02:41.860
872201931052City of CardiffCardiffUnited Kingdom of Great Britain and Northern IrelandEuropeCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityBase year emissions (absolute) targetOtherSame – covers entire city and nothing else2005268200026202038OtherDo not knowDo not knowThis 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%)3650002018{"type"=>"Point", "coordinates"=>[-3.17909, 51.4816]}2020-05-01T04:02:41.860
873201960236Municipality of TrelleborgTrelleborgSwedenEuropeCDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic CitiespublicCity / MunicipalityFixed level targetTransportLarger – covers the whole city and adjoining areas2015202045000TransportNoCar 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.448542018{"type"=>"Point", "coordinates"=>[13.1569, 55.3751]}2020-05-01T04:02:41.860
874201935897Municipality of CampinasCampinasBrazilLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicIndependent cityBase year emissions (absolute) targetOther: Agricultura, floresta e uso da terra (AFOLU)Same – covers entire city and nothing else2016202050559.65.9202047576.580Other: Rebanhos, emissões agregadas e outras de não-CO2Yes - 2 °CNoA 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.11940942018{"type"=>"Point", "coordinates"=>[-46.9372, -22.744]}2020-05-01T04:02:41.860
875201831175City of ParisParisFranceEuropeC40, CDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityAbsolute targetStationary energy (buildings)2004492811330202039The percentage of target achieved so far is calculated on 2014 data22658862015{"type"=>"Point", "coordinates"=>[2.35222, 48.8566]}2020-05-01T04:02:29.947
876201931166Jakarta City GovernmentJakartaIndonesiaSoutheast Asia and OceaniaC40, CDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicSpecial cityFixed level targetAll emissions sources included in city inventorySame – covers entire city and nothing else201220301195000030Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, TransportYes - 1.5 °CJakarta's target is 1% bigger than NDC target.100753102019{"type"=>"Point", "coordinates"=>[106.865, -6.1751]}2020-05-01T04:02:41.860
877201950382Municipio de MéridaMéridaMexicoLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityBase year emissions (absolute) targetAll emissions sources included in city inventorySame – covers entire city and nothing else2014201732621922520309786576Commercial buildings, Energy industry, Residential buildings, Transport8923632015{"type"=>"Point", "coordinates"=>[-89.5926, 20.9674]}2020-05-01T04:02:41.860
878201935904Kolkata Metropolitan AreaKolkataIndiaSouth and West AsiaC40, CDP Cities, ICLEI - Local Governments for Sustainabilitypublic{"type"=>"Point", "coordinates"=>[88.3639, 22.5726]}2020-05-01T04:02:41.860
879201910894City of Los AngelesLos AngelesUnited States of AmericaNorth AmericaC40, CDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityBase year emissions (absolute) targetAll emissions sources included in city inventorySame – covers entire city and nothing else19902019362000005020251810000049Commercial buildings, Energy industry, Industrial facilities, Other: Waste, Public facility, Residential buildings, TransportYes - 1.5 °CDo not knowTarget 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.40214882017{"type"=>"Point", "coordinates"=>[-118.244, 34.0522]}2020-05-01T04:02:41.860
8802019839982Sepang Municipal CouncilMalaysiaSoutheast Asia and OceaniaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityBase year emissions (absolute) targetEnergyThe 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 city2016202597969.7617.5202580832.51Commercial buildings, Industrial facilities, Other: Street lighting, Public facility, Residential buildingsDo not knowYesBuilding 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.20735420102020-05-01T04:02:41.860
881201916581City of SeattleSeattleUnited States of AmericaNorth AmericaC40, CDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityBase year emissions (absolute) targetAll emissions sources included in city inventorySame – covers entire city and nothing else200820113708000100205006Commercial buildings, Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport, WaterYes - 2 °C7304002018{"type"=>"Point", "coordinates"=>[-122.332, 47.6062]}2020-05-01T04:02:41.860
882201960267Prefeitura de GuarujáGuarujáBrazilLatin AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityNo target2907522010{"type"=>"Point", "coordinates"=>[-46.2569, -23.9946]}2020-05-01T04:02:41.860
883201910495City of Las VegasLas VegasUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityNo target6529182018{"type"=>"Point", "coordinates"=>[-115.14, 36.1699]}2020-05-01T04:02:41.860
884201974428City of South Miami, FLSouth MiamiUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicLocal government area within a city / metropolitan areaBase year emissions (absolute) target125002017{"type"=>"Point", "coordinates"=>[-80.1918, 25.7617]}2020-05-01T04:02:41.860
885201931051Coventry City CouncilCoventryUnited Kingdom of Great Britain and Northern IrelandEuropeCDP Cities, ICLEI - Local Governments for SustainabilitypublicLocal government area within a city / metropolitan areaBase year emissions (absolute) targetAll emissions sources included in city inventoryN/ASame – covers entire city and nothing else20052012206870027.52020149980835.4Commercial buildings, Energy industry, Residential buildings, TransportNoNoUnder 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.3601002017{"type"=>"Point", "coordinates"=>[-1.51217, 52.4066]}2020-05-01T04:02:41.860
886201973736Tafi ViejoArgentinaLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainabilitypublic2020-05-01T04:02:41.860
887201843975Municipalidad de Magdalena del MarMagdalena del MarPeruLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityAbsolute target779.22302030594972017{"type"=>"Point", "coordinates"=>[-77.067, -12.0917]}2020-05-01T04:02:29.947
8882019826239Alcaldia de SopóSopóColombiaLatin AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityNo target279322017{"type"=>"Point", "coordinates"=>[-73.9384, 4.9075]}2020-05-01T04:02:41.860
889201842178Distrito Metropolitano de QuitoQuitoEcuadorLatin AmericaC40, CDP Cities, ICLEI - Local Governments for Sustainabilitypublic{"type"=>"Point", "coordinates"=>[-78.5167, -0.2333]}2020-05-01T04:02:29.947
890202074575Dane CountyUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for Sustainabilitypublic2020-05-01T04:02:43.633
891201931173Comune di MilanoMilanoItalyEuropeC40, CDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityBase year emissions (absolute) targetAll emissions sources included in city inventorySame – covers entire city and nothing else200520187418000452030408017Yes - 2 °CYesThe 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)13952742018{"type"=>"Point", "coordinates"=>[9.08635, 45.8026]}2020-05-01T04:02:41.860
892201954681Prefeitura Municipal de AraçatubaAraçatubaBrazilLatin AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityBase year emissions (absolute) target1958742019{"type"=>"Point", "coordinates"=>[-50.4328, -21.2089]}2020-05-01T04:02:41.860
893201859158Moroni CityMoroniComorosAfricaCDP Cities, ICLEI - Local Governments for Sustainabilitypublic{"type"=>"Point", "coordinates"=>[43.2473, -11.7172]}2020-05-01T04:02:29.947
894201874443City of Clinton, IAClintonUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for Sustainabilitypublic{"type"=>"Point", "coordinates"=>[-90.192, 41.839]}2020-05-01T04:02:29.947
895201854092City of Ann ArborAnn ArborUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityAbsolute targetTotal city-wide emissions2000168192690205011777002017{"type"=>"Point", "coordinates"=>[-83.743, 42.2808]}2020-05-01T04:02:29.947
896201973530Town of Lexington, MALexington, MAUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityBase year emissions (absolute) targetAll emissions sources included in city inventorySame – covers entire city and nothing else20122018520023100205009Heating and cooling supply, Industrial facilities, Other: Also applies to Food & Waste, Public facility, Residential buildings, TransportYes - 2 °CYes, but it exceeds its scale or requirementThe Global Warming Solutions Act target at the Massachusetts state level is 80% reduction by 2050. We are aiming to exceed the state's goals.313942010{"type"=>"Point", "coordinates"=>[-71.2269, 42.4443]}2020-05-01T04:02:41.860
897201936501Comune di PratoPratoItalyEuropeCDP Cities, ICLEI - Local Governments for Sustainabilitypublic2020-05-01T04:02:41.860
898201954388Iskandar Regional Development AuthorityIskandarMalaysiaSoutheast Asia and OceaniaCDP Cities, ICLEI - Local Governments for SustainabilitypublicOther: RegionBase year intensity targetAll emissions sources included in city inventorySame – covers entire city and nothing else2010201258202518900000Metric tonnes of CO2e per unit GDP0.2522.2Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, TransportDo not knowYes, and it exceeds its scale or requirementOur 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.20900002017{"type"=>"Point", "coordinates"=>[100.992, 1.45556]}2020-05-01T04:02:41.860
899201914344City of Park City, UTPark CityUnited States of AmericaNorth AmericaCDP Cities, ICLEI - Local Governments for Sustainability, WWFpublicCity / MunicipalityFixed level targetAll emissions sources included in city inventoryN/ASame – covers entire city and nothing else20162030114440Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Tourism, including air travel, Public facility, Residential buildings, Transport, WaterYes - 1.5 °CPark 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.83762016{"type"=>"Point", "coordinates"=>[-111.498, 40.6461]}2020-05-01T04:02:41.860
9002019840925Prefeitura de IndiarobaBrazilLatin AmericaCDP Cities, ICLEI - Local Governments for SustainabilitypublicCity / MunicipalityNo target1795720192020-05-01T04:02:41.860

About

Profile Picture Dua Zehra

created Sep 25 2019

updated Jul 22 2020

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.

Activity
Community Rating
Current value: 0 out of 5
Raters
0
Visits
461
Downloads
106
Comments
0
Contributors
0
Meta
Category
Emissions
Permissions
Public
Tags
emissions, 2018, 2019, cities
Row Label
SODA2 Only
Yes
Licensing and Attribution
Data Provided By
(none)
Source Link
(none)
License Type
License Type
CDP Open Database License

Filter

  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;

Sort

  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;
  • ;

Search

Post a Comment

Comments

  • Total Comments: 0
  • Average Rating: 0.0

Sharing

This dataset is public

Publishing

See Preview