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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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| 501 | 2019 | 54102 | City of Albany | Albany | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 2009 | 10 | 2030 | 97856 | 2010 | {"type"=>"Point", "coordinates"=>[-73.7562, 42.6526]} | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 502 | 2019 | 1499 | Ajuntament de Barcelona | Barcelona | Spain | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Waste | Same – covers entire city and nothing else | 2008 | 2011 | 327580 | 74 | 2020 | 5 | Other: Waste treatment | No | No | 1620343 | 2018 | {"type"=>"Point", "coordinates"=>[2.1775, 41.3823]} | 2020-05-01T04:02:41.860 | ||||||||
| 503 | 2019 | 63616 | Abasan Al-Kabira Municipality | Abasan Al-Kabira | State of Palestine | Middle East | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Transport | Same – covers entire city and nothing else | 2010 | 2020 | 6893 | 6 | 2020 | Energy industry, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes | 31000 | 2017 | {"type"=>"Point", "coordinates"=>[34.344, 31.3231]} | 2020-05-01T04:02:41.860 | |||||||||
| 504 | 2019 | 839670 | Municipio de Santa Catarina Pinula | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 97000 | 2002 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 505 | 2018 | 35858 | City of Cape Town | Cape Town | South Africa | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[18.4239, -33.9253]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 506 | 2018 | 50560 | City of Oakland | Oakland | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Transportation | 2005 | 1595200 | 36 | 2020 | 17 | 420000 | 2016 | {"type"=>"Point", "coordinates"=>[-122.271, 37.8044]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 507 | 2018 | 54687 | Prefeitura Municipal de São José dos Campos | São José dos Campos | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-45.8783, -23.1848]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 508 | 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 | Other: Water | The goal is for the water sector of Cyberjaya to reduce its water related emissions by 45.0% in 2025 based on its baseline water consumption of 2016. | Smaller – covers only part of the city | 2016 | 2025 | 2496.96 | 45 | 2025 | 1373.5 | 1 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Yes | Water distribution systems comprise the supply and treatment of drinking water from source to final consumption. Efficient use of potable water can reduce level of emissions since small amount of energy is needed to treat and distribute water. One of the recommended strategies to manage water efficiently is through diversifying main water sources and recycling grey water or waste water. In a study conducted by REDAC, underground water extraction can increase water management efficiency by up to 45%. The usage of recycle water to operate the existing District Cooling System (DCS) saves significant amount of potable water. Planting the xeriscaping species that are drought-tolerant also promotes water savings. The average water consumption in Malaysia is 212 litres/day, whereby every 1000 litre will generate approximately 1.5 kg of CO2. | 207354 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 509 | 2018 | 826239 | Alcaldia de Sopó | Sopó | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-73.9384, 4.9075]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 510 | 2019 | 74558 | Summit County, UT | United States of America | North America | 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 | Same – covers entire city and nothing else | 2014 | 2017 | 1360000 | 80 | 2050 | 272000 | Other: all sectors indicate above | Do not know | No | 41106 | 2017 | 2020-05-01T04:02:41.860 | ||||||||||
| 511 | 2019 | 50154 | City of Turku | Turku | Finland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2018 | 1236200 | 80 | 2029 | 247200 | 22 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Yes - 2 °C | Yes, but it exceeds its scale or requirement | According to Turku's climate plan, the City has a target to become carbon neutral by 2029. Carbon neutrality is defined as at least 80% emission reduction compared with 1990 level. The remaining <20% of emissions will be compensated by carbon sinks or other means. From 2029 onwards, Turku aims at being a climate positive city with negative net emissions. | 191000 | 2018 | {"type"=>"Point", "coordinates"=>[22.2666, 60.4518]} | 2020-05-01T04:02:41.860 | ||||||
| 512 | 2018 | 59535 | Town of Vail, CO | Vail | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | 5305 | 2010 | {"type"=>"Point", "coordinates"=>[-106.374, 39.6403]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||
| 513 | 2019 | 59166 | Municipalidad de Independencia | Independencia | Chile | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 100281 | 2017 | {"type"=>"Point", "coordinates"=>[-68.8154, -32.8421]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 514 | 2019 | 54116 | City of Dubuque | Dubuque | 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 | 2003 | 2013 | 1266234 | 50 | 2030 | 27 | 58276 | 2018 | {"type"=>"Point", "coordinates"=>[-90.5071, 42.5006]} | 2020-05-01T04:02:41.860 | |||||||||||
| 515 | 2019 | 43914 | City of Charlotte | Charlotte | 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 | This target is only for city-owned fleet and facilities. | Smaller – covers only part of the city | 2015 | 2018 | 2015 | 0 | 2030 | Public facility | Do not know | No | In June 2018, Council unanimously passed the Sustainable and Resilient Charlotte by 2050 Resolution. This resolution called for Charlotte to become a low-carbon city by 2050, among other things. It set a target to source all energy and fuel from City-owned fleet and facilities from zero-carbon sources by 2030. The Strategic Energy Action Plan was unanimously passed by Council in December 2018. This is the city plan to reach the targets the resolution set. | 859035 | 2017 | {"type"=>"Point", "coordinates"=>[-80.8431, 35.2271]} | 2020-05-01T04:02:41.860 | |||||||
| 516 | 2019 | 69840 | Município de Itacoatiara | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Metropolitan area | No target | 86839 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 517 | 2019 | 31167 | City of Lagos | Lagos | Nigeria | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 21000000 | 2015 | {"type"=>"Point", "coordinates"=>[3.3792, 6.52437]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 518 | 2018 | 74569 | King County, WA | King County | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | County | Absolute target | Total city-wide emissions | 2007 | 20100000 | 80 | 2050 | 2015, increase +1.15% from baseline | 2188649 | 2017 | {"type"=>"Point", "coordinates"=>[121.984, 47.548]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 519 | 2018 | 68371 | Municipio Distrital del Rimac | Rimac | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-77.0362, -12.0271]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 520 | 2019 | 74466 | Village of South Barrington, IL | South Barrington | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 4565 | 2010 | {"type"=>"Point", "coordinates"=>[42.0736, 88.148]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 521 | 2019 | 74560 | City of Moab, UT | Moab | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 2009 | 2009 | 29030 | 80 | 2040 | Energy industry | Do not know | 50% by 2032 | 5306 | 2018 | {"type"=>"Point", "coordinates"=>[-109.54, 38.57]} | 2020-05-01T04:02:41.860 | ||||||||||
| 522 | 2018 | 43926 | City of Mannheim | Mannheim | Germany | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 1990 | 40 | 2020 | 312722 | 2015 | {"type"=>"Point", "coordinates"=>[8.46603, 49.4875]} | 2020-05-01T04:02:29.947 | ||||||||||||||||
| 523 | 2019 | 35884 | City of San Diego | San Diego | 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 | 2010 | 12984993 | 50 | 2035 | 1394928 | 2015 | {"type"=>"Point", "coordinates"=>[-117.17, 32.7181]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 524 | 2019 | 36039 | Accra Metropolitan Assembly | Accra | Ghana | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Metropolitan area | No target | 2475208 | 2019 | {"type"=>"Point", "coordinates"=>[-0.16819, 5.56543]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 525 | 2019 | 839980 | Municipalidad de Avellaneda | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Waste | El inventario se encuentra en elaboración, por lo tanto se incluyen solamente los datos correspondientes a RSU. | Same – covers entire city and nothing else | 2018 | 2019 | 11590 | 20 | 2025 | 9272 | 0 | Other: Gestión integral de los residuos sólidos urbanos. | Do not know | Yes | La NDC a nivel nacional no incluye detalles en lo que refiere a la Gestión integral de residuos sólidos urbanos, que es justamente uno de los principales ejes en los que se trabaja a nivel local. | 30446 | 2019 | 2020-05-01T04:02:41.860 | |||||||
| 526 | 2019 | 839971 | San Nicolás de los Arroyos | San Nicolás de los Arroyos | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | 145857 | 2010 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 527 | 2019 | 60268 | Prefeitura de Brumadinho | Brumadinho | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 33973 | 2008 | {"type"=>"Point", "coordinates"=>[-44.1982, -20.1427]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 528 | 2019 | 840914 | Prefeitura de Cáceres | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 87942 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 529 | 2019 | 54457 | Hansestadt Rostock | Rostock | Germany | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Base year emissions (absolute) target | 209000 | 2019 | {"type"=>"Point", "coordinates"=>[12.1405, 54.0887]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 530 | 2018 | 57641 | Wrexham council | Wrexham | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-2.9913, 53.0466]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 531 | 2019 | 63862 | City of Ashland, OR | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2017 | 2050 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Our emission reduction goals are represented as an "8% average annual reduction compared to 2015 levels". This does not fit seem to fit well in the categories above, but translates into approximately 95% reduction by the year 2050 compared to 2015. | 21117 | 2017 | 2020-05-01T04:02:41.860 | ||||||||||||||
| 532 | 2019 | 54518 | City of Helsingborg | Helsingborg | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Transport | Covers only local governments emissions. | Smaller – covers only part of the city | 2018 | 0 | 2020 | 0 | Transport | Yes - 1.5 °C | No | All cars that belongs to local government (municipal organisation and municipal companies) should be free from fossil fuel. This also applies to the contractors that the we hire. The cars belonging to the municipal organisation only (excluding companies and contractors) are fossil fuel free to 81 % , 2018. We don not yet have the number for the cars that belongs to municipal companies and contractors. | 145415 | 2018 | 2020-05-01T04:02:41.860 | |||||||||
| 533 | 2019 | 50579 | City of Winnipeg | Winnipeg | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Includes residential, commercial, industrial building emissions from natural gas and electricity consumption. | Same – covers entire city and nothing else | 2011 | 2018 | 1819311 | 0 | 2030 | Commercial buildings, Industrial facilities, Public facility, Residential buildings | Yes - 2 °C | Do not know | To achieve only an 8% increase in GHG emissions relative to the 2011 baseline by 2030 (or a 145,000 tonne reduction relative to business as usual), the City seeks to support the following goals:- Residential building natural gas consumption does not go above 604,010,541 » m3 (limited to anincrease of approximately 124 percent relative to the 2011 sector baseline). Limiting consumption tothis increase will require homes to incorporate energy efficiency upgrades and/or renewables.- Commercial building natural gas consumption does not go above 448,167,147 m3 (limited to anincrease of approximately 124 percent relative to the 2011 sector baseline). Limiting consumption tothis increase will require commercial buildings to incorporate energy efficiency upgrades and/orrenewables.- 8% of all residential homes have incorporated renewables and/or made significant energy efficiencyupgrades to work towards the achievement of having a net-zero energy and emissions footprint.Renewable measures are likely to include the implementation of (biomass) district energy systems,geo-exchange, and solar technologies or significantly reduce the need for natural gas for space andwater heating.- 12% of all commercial and industrial buildings have included renewables and/or made significantenergy efficiency upgrades that significantly reduce the need for natural gas and work towards being anet-zero building. Such measures are likely to include the implementation of (biomass) district energysystems, geo-exchange, and solar technologies or significantly reduce the need for natural gas forspace and water heating. | 691800 | 2011 | {"type"=>"Point", "coordinates"=>[-97.1375, 49.8997]} | 2020-05-01T04:02:41.860 | |||||||
| 534 | 2019 | 31153 | City of Berlin | Berlin | Germany | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Province / County | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2016 | 29300000 | 95 | 2050 | Yes - 1.5 °C | Yes | Political target as laid down in the Berlin Energy and Climate Action Program 2030. | 3644998 | 2018 | {"type"=>"Point", "coordinates"=>[13.405, 52.52]} | 2020-05-01T04:02:41.860 | |||||||||
| 535 | 2019 | 60417 | Municipalidad de San Carlos de Bariloche | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | 112887 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 536 | 2019 | 59631 | City of San Leandro, CA | San Leandro | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | 90553 | 2019 | {"type"=>"Point", "coordinates"=>[-122.156, 37.7249]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 537 | 2018 | 36265 | Comune di Reggio Emilia | Reggio Emilia | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[10.8774, 44.4376]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 538 | 2019 | 60384 | Alcaldía de Yopal | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 152655 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 539 | 2019 | 69834 | Municipalidad de General Alvear (Mendoza) | General Alvear, Buenos Aires | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | 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 | 180102.07 | 18 | 2030 | 242470.86 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport, Water | 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 General Alvear donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Como se mostró en el punto 3.2.1.6, 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 General Alvear 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 General Alvear)/(variación población 2014-2030 Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 8,98% en el municipio. Por lo tanto el factor de ajuste resulta de 0,57. Así, el aumento de emisiones proyectado para General Alvear será del 34,63%. Tomando de base el inventario BÁSICO de General Alvear del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 242.470,86 tCO2e.Tomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo establecido en el Pacto de Alcaldes por el Clima y la Energía, General Alvear se compromete a reducir sus emisiones de gases de efecto en al menos un 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, General Alvear no emitirá más de 111.406,28 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por General Alvear y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 46429 | 2010 | {"type"=>"Point", "coordinates"=>[-67.6955, -34.978]} | 2020-05-01T04:02:41.860 | |||||
| 540 | 2018 | 54128 | City of Reno | Reno | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2008 | 2751878.9 | 80 | 2050 | 13.62 | 245255 | 2016 | {"type"=>"Point", "coordinates"=>[-119.814, 39.5296]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 541 | 2019 | 58591 | City of Greenbelt, MD | United States of America | North America | 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 | Not calculating emissions generated from MSW | Smaller – covers only part of the city | 2005 | 2020 | 3894 | 20 | 2020 | 66 | Other: Municipal buildings, lights and fleet | Do not know | Do not know | To lower our energy consumption by 20% by the year 2020 from 2012To lower our greenhouse gas emissions from 2005 | 23000 | 2010 | 2020-05-01T04:02:41.860 | ||||||||
| 542 | 2019 | 55801 | City of West Palm Beach | West Palm Beach | 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 | 2008 | 2016 | 5513890 | 100 | 2050 | 0 | 5 | Commercial buildings, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | No | We will be doing our next community-wide inventory in 2019 with Kim Lundgren and Associates, reporting on the 2018 calendar year. After the 2018 inventory is complete, we will start working on community-wide inventories every three years to comply with our regulatory commitments. | 112906 | 2018 | {"type"=>"Point", "coordinates"=>[-80.0534, 26.7153]} | 2020-05-01T04:02:41.860 | ||||||
| 543 | 2019 | 60906 | Municipalidad de Vitacura | Chile | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 85 | 217 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 544 | 2019 | 54124 | City of Fremont | Fremont | 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 | 2005 | 2019 | 1660000 | 100 | 2045 | 0 | 13 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Other: Carbon Neutrality by 2045 goes beyond the emissions reduction pathway to 1.5 degrees. | Yes | The baseline emissions level is 1,660,000 and latest GHG inventory from 2015 was 1,447,555. This decrease of 212,445 metric tonnes CO2e is a 12.8% of the emissions target. | 234962 | 2017 | {"type"=>"Point", "coordinates"=>[-121.989, 37.5483]} | 2020-05-01T04:02:41.860 | ||||||
| 545 | 2018 | 64014 | City of Cupertino | Cupertino | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2010 | 307288 | 83 | 2050 | 60777 | 2017 | {"type"=>"Point", "coordinates"=>[-122.032, 37.323]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 546 | 2019 | 834246 | Municipality of Gemona del Friuli | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Waste | Same – covers entire city and nothing else | 2013 | 2019 | 327 | 10 | 2030 | 300 | 0 | Other: Waste management | Do not know | Do not know | In order to achieve the emission reduction target, local administration of Gemona Del Friuli set the following goal:- To decrease GHG emissions from waste management sector by reducing residual urban waste by 30%. | 11135 | 2013 | 2020-05-01T04:02:41.860 | ||||||||
| 547 | 2018 | 50565 | City of Toledo | Toledo | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Intensity target | 287208 | 2010 | {"type"=>"Point", "coordinates"=>[-83.5552, 41.6639]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||
| 548 | 2019 | 36469 | Comune dell'Aquila | L'Aquila | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2005 | 2012 | 964425 | 20 | 2020 | Residential buildings, Transport | Do not know | Do not know | 69439 | 2018 | {"type"=>"Point", "coordinates"=>[13.3995, 42.3505]} | 2020-05-01T04:02:41.860 | |||||||||
| 549 | 2019 | 31179 | Gemeente Rotterdam | Rotterdam | Netherlands | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | The sectors and proposed reduction measures are described in:https://www.persberichtenrotterdam.nl/uploads/GRO%20startnotitie%20energietransitie.pdf | Same – covers entire city and nothing else | 1990 | 23700000 | 25 | 2030 | 11613000 | 0 | Other: To all sectors together | Do not know | Yes | Same as national target | 664373 | 2019 | {"type"=>"Point", "coordinates"=>[4.45093, 51.9164]} | 2020-05-01T04:02:41.860 | ||||||
| 550 | 2018 | 35865 | Municipality of Fortaleza | Fortaleza | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2014 | 5139.514 | 20 | 2030 | 4 | Ainda nao foi possível verifica precisamente o impacto das ações propostas em relação as metas estabelecidas. | 2627.482 | 2017 | {"type"=>"Point", "coordinates"=>[-48.3936, -10.7183]} | 2020-05-01T04:02:29.947 |
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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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