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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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| 1151 | 2018 | 35887 | Ajuntament de Valencia | Valencia | Spain | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-0.3763, 39.4699]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1152 | 2019 | 834362 | Sigtuna Municipality | Sigtuna Municipality | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | Transport | Same – covers entire city and nothing else | 2018 | 2025 | Transport | Yes - 1.5 °C | The politically agreed upon target is a fossil-free municipal transport fleet by 2025. | 48130 | 2018 | {"type"=>"Point", "coordinates"=>[17.7234, 59.6191]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 1153 | 2019 | 20113 | City of Vancouver | Vancouver | Canada | 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 | 2007 | 2017 | 2765000 | 50 | 2030 | 1382500 | 12 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Landfill fugitive emissions, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | Target was set as part of Renewable City Action Plan, the City's renewable energy plan to 2050. It is compliant with IPCC-recommended emissions pathways for 1.5'C. | 642686 | 2018 | {"type"=>"Point", "coordinates"=>[-123.114, 49.2612]} | 2020-05-01T04:02:41.860 | ||||||
| 1154 | 2019 | 35879 | City of Minneapolis | Minneapolis | 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 | 2006 | 2013 | 5181707 | 80 | 2050 | 1036341 | 21 | Commercial buildings, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Do not know | 422331 | 2017 | {"type"=>"Point", "coordinates"=>[-93.2667, 44.9833]} | 2020-05-01T04:02:41.860 | |||||||
| 1155 | 2019 | 43909 | City of Orlando | Orlando | 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 | Same – covers entire city and nothing else | 2007 | 2013 | 7408100 | 90 | 2018 | 6994170 | 6 | Other | Yes - 2 °C | No | Achieved 6% reduction from 2007 baseline. 2018 interim target of 25% reduction from 2007 baseline. | 280258 | 2018 | {"type"=>"Point", "coordinates"=>[-81.3792, 28.5383]} | 2020-05-01T04:02:41.860 | ||||||
| 1156 | 2018 | 36477 | Comune di Lucca | Lucca | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[10.6174, 43.8399]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1157 | 2019 | 55373 | Prefeitura Municipal de Cabreúva | Cabreúva | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 47877 | 2017 | {"type"=>"Point", "coordinates"=>[-47.1367, -23.3058]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1158 | 2019 | 54078 | City of Hayward | Hayward | 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 | 2009 | 1154088 | 20 | 2020 | 922109 | 7.6 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Waste, Public facility, Residential buildings, Transport, Water | Do not know | Do not know | Baseline does NOT include all records used in the 2010 & 2015 inventories.Outlined in the General Plan 2040: The City shall work with the community to reduce community-based GHG emissions by 20 percent below 2005 baseline levels by 2020, and strive to reduce community emissions by 61.7 percent and 82.5 percent by 2040 and 2050, respectively. | 162030 | 2018 | {"type"=>"Point", "coordinates"=>[-122.081, 37.6689]} | 2020-05-01T04:02:41.860 | ||||||
| 1159 | 2019 | 60125 | Klaipeda City Municipality | Klaipeda | Lithuania | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Base year intensity target | 148000 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 1160 | 2019 | 58871 | City of Salem, MA | Salem | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 43146 | 2017 | {"type"=>"Point", "coordinates"=>[-70.8967, 42.5195]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1161 | 2019 | 49327 | City of Providence | Providence | 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 | 2016 | 2652837 | 100 | 2050 | 0 | 3.65 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Yes, but it exceeds its scale or requirement | The target is a state of carbon neutrality for the City of Providence by 2050. This exceeds the ambition of the State of Rhode Island, which has established a goal of an 85% emissions reduction by the same year. | 179335 | 2018 | {"type"=>"Point", "coordinates"=>[-71.4128, 41.824]} | 2020-05-01T04:02:41.860 | ||||||
| 1162 | 2019 | 55331 | Município de Ílhavo | Ílhavo | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Other: Indústria | 2008 | 2008 | 575 | 2.02 | 2020 | 38598 | 2017 | {"type"=>"Point", "coordinates"=>[-7.58, 38.85]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 1163 | 2018 | 31446 | Taipei City Government | Taipei | Taiwan, Greater China | East Asia | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2005 | 13108260 | 50 | 2050 | 6 | 2683257 | 2017 | {"type"=>"Point", "coordinates"=>[121.564, 25.0375]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1164 | 2018 | 36043 | Abuja Federal Capital Territory | Abuja | Nigeria | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[7.39857, 9.07647]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1165 | 2019 | 50386 | Prefeitura de Cuiabá | Cuiabá | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-52.2663, -15.882]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 1166 | 2018 | 54681 | Prefeitura Municipal de Araçatuba | Araçatuba | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 194.874 | 2017 | {"type"=>"Point", "coordinates"=>[-50.4328, -21.2089]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||
| 1167 | 2019 | 43910 | City of Columbus | Columbus | 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 | 2013 | 2015 | 10781451 | 20 | 2020 | 8625161 | 0 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Do not know | At present, the United State is poised to withdraw from the Paris Agreement at the earliest opportunity and therefore will not hold up any target.As part of the Green Community Plan, the City of Columbus has committed to an ambitious agenda in climate, energy, and transportation: 30 percent reduction in municipal CO2 emissions by 2020; 20 percent reduction in City CO2 emissions by 2020 and a 20 percent reduction in per capita energy consumption by 2020. | 892533 | 2019 | {"type"=>"Point", "coordinates"=>[-82.9988, 39.9612]} | 2020-05-01T04:02:41.860 | ||||||
| 1168 | 2019 | 58597 | Municipalidad de La Unión | La Unión | Costa Rica | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Local government area within a city / metropolitan area | No target | 108990 | 2017 | {"type"=>"Point", "coordinates"=>[-83.9833, 9.91667]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1169 | 2019 | 59642 | City of Dublin, CA | Dublin, CA | 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 | 2020 | 2030 | 75000 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | We are in the process of updating our climate action plan. The targets above are proposed and align with state goals, which are more ambitious goals than that of the U.S. Nationally Determined Contribution. Staff is intending to go to city council in the Fall of 2019 for approval of the climate action plan. | 64577 | 2019 | {"type"=>"Point", "coordinates"=>[-121.93, 37.7]} | 2020-05-01T04:02:41.860 | |||||||||||
| 1170 | 2019 | 3422 | Greater London Authority | London | United Kingdom of Great Britain and Northern Ireland | Europe | 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 | 2018 | 45050000 | 40 | 2020 | 31 | Commercial buildings, Residential buildings, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | This the carbon budget target for the period 2018-2022. Midpoint of budget period given here. | 8883800 | 2017 | {"type"=>"Point", "coordinates"=>[-0.07868, 51.5048]} | 2020-05-01T04:02:41.860 | |||||||
| 1171 | 2019 | 73648 | Arias | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Cuando las fuentes difieran del inventario, identifique y explique estas adiciones/exclusiones: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 | 18003.75 | 18 | 2030 | 23058.36 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbonoequivalente (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 emisionesproyectado para el 2030 es del 60,87%.Este aumento será considerado para la preparación del escenario BAU de Arias donde seproyectarán las emisiones alcanzadas por el nivel BÁSICO. Éste nivel abarca los sectores en los cuales los gobiernos locales poseen mayorcapacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente quelos incluidos en el nivel BÁSICO+.Para correlacionar el escenario Business as Usual nacional con el de Arias se realizó unajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a larelación entre la variación poblacional en el período 2015-2030 a nivel nacional y local.𝐹𝑎𝑐𝑡𝑜𝑟 𝑑𝑒 𝑎𝑗𝑢𝑠𝑡𝑒 =(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2015 − 2030 𝐴𝑟𝑖𝑎𝑠)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2015 − 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛a)El INDEC estima que durante este tiempo la población argentina aumentará un 14,55% yun 7,16% en el municipio (considerando la variación intercensal entre los censospoblacionales del 2001 y 2010). Por lo tanto factor de ajuste resulta de 0,49. Así, el aumentode emisiones proyectado para Arias será del 28,08%.𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝐴𝑟𝑖𝑎𝑠 2015 − 2030 (%) = 57,07% ∗ 0,49 = 28,08%Tomando de base el inventario BÁSICO de Arias del 2015, las emisiones proyectadas bajoel escenario tendencial al 2030 serán de 23.058,36 tCO2e.𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝐴𝑟𝑖𝑎𝑠 𝑎𝑙 2030 = 18.003,75 𝑡𝐶𝑂2𝑒 ∗ 1,2808 = 23.058,36 tCO2eTomando como referencia la meta de reducción de emisiones presentada por el país y acordea lo establecido en el Pacto de Alcaldes por el Clima y la Energía, Arias se compromete areducir sus emisiones de gases de efecto en al menos un 18% respecto al escenario BAU al2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030,Arias no emitirá más de 18.907,86 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Arias y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 7249 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 1172 | 2019 | 2430 | City of Burlington | Burlington | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Other: Airport | The airport is technically located in South Burlington but it is owned and operated by Burlington. It is, therefore, a municipal facility, but because it would skew municipal emissions data, it is included as its own entity. | Partial – covers part of the city and adjoining areas | 2010 | 2014 | 2287 | 10 | 2025 | Energy industry, Heating and cooling supply, Public facility, Transport | Do not know | Do not know | 42284 | 2015 | {"type"=>"Point", "coordinates"=>[-73.2121, 44.4759]} | 2020-05-01T04:02:41.860 | ||||||||
| 1173 | 2019 | 73301 | City of Gretna, LA | Gretna | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 17935 | 2017 | {"type"=>"Point", "coordinates"=>[-90.0542, 29.9164]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1174 | 2019 | 35913 | City of Nairobi | Nairobi | Kenya | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 4500000 | 2017 | {"type"=>"Point", "coordinates"=>[36.8219, -1.29206]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1175 | 2019 | 839673 | Municipalidad Distrital de Jesús María | Peru | 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 | - | Same – covers entire city and nothing else | 2019 | 2019 | 218000000.7 | 1 | 2021 | 217999978 | 1 | Commercial buildings, Energy industry, Industrial facilities, Other, Public facility, Transport, Water | The municipality of Jesús María, together with the National University of Engineering (UNI), has installed 12 modules in Jesús María with sensors that will measure the level of environmental pollution in the district in real-time. The results on the monitoring of the pure or contaminated air circulating in the main parks and avenues of the district will be sent to a web platform and an application so that they are known by the neighbors.The sensors can measure in a radius of one to four kilometers and have an integrated camera that calculates the process of photosynthesis of the plants according to their color and just point to them. They also can measure humidity, temperature, UVA and UV radiation, wind speed and direction, environmental pressure, ozone, nitrogen dioxide, carbon monoxide, and carbon dioxide, among other parameters. In the first stage, 12 modules will be installed in different points of Jesús María, such as the municipal headquarters, Avenida Cuba and the main parks and avenues of the district.Thanks to this project, Jesús María would be the first district to become a Smart City and to make a map of environmental pollution, as do the big cities of the world, which will allow citizens to know the levels of pollution to which they are exposed. are exposed and that the municipality identifies which activities generate more pollution and in what areas, to control or regulate them, also, initiatives may be proposed to reduce those indices based on exact data.Likewise, initially, we have proposed a reduction of 1% based on the base figures that are handled at the national level, this figure may be modified as long as the data resulting from the sensor modules installed in the district go indicating improvements or setbacks in terms of pollution levels. | Yes - 1.5 °C | Yes | Climate change is the challenge that marks our era and its management must have a development-oriented approach, rather than a view of restriction or limitation. This poses challenges to both private action and public action. With a sense of urgency and a high level of ambition, the goal is to build a modern country that promotes the management of natural resources along with theeconomic growth, with a fundamental objective that is the well-being of all Peruvians. In this way, the national management of climate change will be very clear about the impact it will have on the citizen, in the community, in the inhabitants, in those who live in each of our ecosystems. At the same time, a correct planning and efficient use of natural resources will reduce the potential negative impacts generated by the new climate scenarios and will allow identifyingand take advantage of the possible opportunities that these generate. For all these reasons, the Nationally Determined Contributions will allow us to reach a low carbon development and climate-resilient that dynamizes the economy.Within the framework of the NDCs and aligned to five sectors of the emissions defined by the IPCC (Energy, Transport, Building, Agriculture and Waste), the 2030 Agenda on Sustainable Development-UN, the New Urban Agenda (NAU) and The ICES BID Methodological Guide, the Municipality of Jesús María has been working on mitigation measures as a relevant strategy for monitoring emissions and reductions of GHG emissions in order to reach local goals and contribute to the fulfillment of NDC goals at the country level.The comprehensive understanding of national and international regulations, has given the Municipality of Jesús María, work based on five (5) pillars: i) Management of the environment and natural resources, ii) Strengthening environmental education management, iii) Mitigation of greenhouse gases, iv) Promotion of sustainable urban transport and v) Participatory and sustainable management of public spaces, with the aim of guaranteeing environmental protection and environmental sanitation. Likewise, initially, we have proposed a reduction of 1% based on the base figures that are handled at the national level, this figure may be modified as long as the data resulting from the sensor modules installed in the district go indicating improvements or setbacks in terms of pollution levels. | 77955 | 219 | 2020-05-01T04:02:41.860 | ||||||
| 1176 | 2019 | 831823 | Comune di Massa Marittima | Massa Marittima | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 8303 | 2017 | {"type"=>"Point", "coordinates"=>[10.8939, 43.05]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1177 | 2018 | 60633 | La mairie de Bujumbura | Bujumbura | Burundi | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[29.3599, -3.36137]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1178 | 2018 | 50544 | City of Aurora, IL | Aurora | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[41.7606, 88.3201]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1179 | 2019 | 59633 | City of Santa Cruz, CA | Santa Cruz, CA | 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 | The base year inventory was not completed to any protocol and was estimated based on best available data. | Same – covers entire city and nothing else | 1990 | 2012 | 427280 | 30 | 2020 | 299096 | 100 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Do not know | Yes | State of California: Reduce community-wide greenhouse gas emissions 30% by 2020 and 80% by 2050 (compared to 1990 levels). In 2019, this goal has been replaced by a CA state carbon neutrality goal of 2045. | 65021 | 2017 | {"type"=>"Point", "coordinates"=>[-122.031, 36.9741]} | 2020-05-01T04:02:41.860 | |||||
| 1180 | 2018 | 31115 | City of Johannesburg | Johannesburg | South Africa | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[28.0473, -26.2041]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1181 | 2018 | 36263 | Comune di Ravenna | Ravenna | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | Absolute target | 2007 | 23.9 | 2020 | This target is related to CO2 emission and was set in the Covenant of Mayors. The target is applied to the whole CO2 emissions including together Local Government Operations and Community. | {"type"=>"Point", "coordinates"=>[12.518, 41.913]} | 2020-05-01T04:02:29.947 | ||||||||||||||||||
| 1182 | 2019 | 50566 | City of Anchorage | Anchorage | 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 | Baseline Inventory does not exist. | Same – covers entire city and nothing else | 2008 | 2019 | 80 | 2050 | Energy industry, Transport | Do not know | Do not know | Through the Climate Action Plan, Anchorage has a goal of reducing GHG emissions 80% from 2008 levels by 2050, with an interim goal of 40% by 2030. The CAP acknowledges, however, that in its current state, it will not ensure they are met. Additional resources and planning are necessary to meet the goals. | 295365 | 2018 | {"type"=>"Point", "coordinates"=>[-149.9, 61.2181]} | 2020-05-01T04:02:41.860 | ||||||||
| 1183 | 2019 | 54066 | City of Fort Collins | Fort Collins | 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 | 2005 | 2472391 | 80 | 2030 | 17.5 | 170100 | 2018 | {"type"=>"Point", "coordinates"=>[-105.084, 40.5853]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 1184 | 2019 | 3422 | Greater London Authority | London | United Kingdom of Great Britain and Northern Ireland | Europe | 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 | 2018 | 45050000 | 100 | 2050 | 31 | Commercial buildings, Residential buildings, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | London has a net zero target for 2050 with interim carbon budgets for the next fifteen years. London's targets are in line with the UK's target to be net zero by 2050 and our interim carbon budgets are more ambitious than the UK's. | 8883800 | 2017 | {"type"=>"Point", "coordinates"=>[-0.07868, 51.5048]} | 2020-05-01T04:02:41.860 | |||||||
| 1185 | 2019 | 59669 | City of North Vancouver | North Vancouver | Canada | 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 | 2007 | 2014 | 224212 | 80 | 2040 | Commercial buildings, Heating and cooling supply, Industrial facilities, Other: solid waste, Public facility, Residential buildings, Transport | Yes - 1.5 °C | No | Includes: solid waste, public transportation; private transportation; industrial buildings; residential buildings Data availability and reliability limit our ability to track percentage of target achieved so far. | 52898 | 2016 | {"type"=>"Point", "coordinates"=>[-123.072, 49.32]} | 2020-05-01T04:02:41.860 | ||||||||
| 1186 | 2019 | 834280 | Municipality of Pérez | 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 | 90126.3 | 20 | 2030 | 145699.52 | 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 Pérez donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. 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 Pérez 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 Pérez)/(variación población 2014-2030 Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 13,64% y un 16,00% en el municipio. Por lo tanto el factor de ajuste resulta de 1,013. Así, el aumento de emisiones proyectado para Pérez será del 61,66%.Aumento de emisiones en Pérez 2014-2030 (%)= 60,87%*1,013=61,66%Tomando de base el inventario BÁSICO de Pérez del 2016, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 145.699,52 tCO2e.Emisiones Pérez al 2030 (CO2e )=90.126,30 tO2e*1,6166= 145.699,52 tCO2eTomando 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, Pérez se fija una meta aún más ambiciosa, reducir sus emisiones de gases de efecto en al menos un 20% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Pérez no emitirá más de 119.473,60 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Pérez y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 29204 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 1187 | 2019 | 54625 | Prefeitura de Londrina | Londrina | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 506701 | 2010 | {"type"=>"Point", "coordinates"=>[-51.1505, -23.3356]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1188 | 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 | Total city-wide emissions | 2005 | 2992735 | 36 | 2020 | 44 | 420000 | 2016 | {"type"=>"Point", "coordinates"=>[-122.271, 37.8044]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1189 | 2019 | 54391 | Nonthaburi City | Thailand | Southeast Asia and Oceania | 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 | 0 | Public facility, Residential buildings | Yes - 1.5 °C | Yes | National NDCs target at 20-25% by 2020 when compare to BAU as baseline | 255167 | 2019 | 2020-05-01T04:02:41.860 | ||||||||||||||
| 1190 | 2019 | 55325 | Município de Águeda | Águeda | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | 47729 | 2011 | {"type"=>"Point", "coordinates"=>[-8.44582, 40.5753]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1191 | 2019 | 839666 | Municipio de Escuintla | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | 170543 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1192 | 2018 | 35877 | City of Pittsburgh | Pittsburgh | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2003 | 50 | 2030 | 305704 | 2016 | {"type"=>"Point", "coordinates"=>[-79.9959, 40.4406]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 1193 | 2019 | 840529 | Ayuntamiento de Victoria (Tamaulipas) | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 346029 | 2015 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1194 | 2019 | 31163 | Istanbul Metropolitan Municipality | Istanbul | Turkey | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Metropolitan area | Baseline scenario (business as usual) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2015 | 2018 | 47340725 | 33 | 2030 | 84731025 | Commercial buildings, Energy industry, Industrial facilities, Other: Waste, Residential buildings, Transport | The greenhouse gas inventory study, which provides the foundation for mitigation actions, was conducted for 2015 with GPC Basic methodology. Kaya Identity model was used for estimation of mitigation scenario. Besides, UAST (Urban Adaptation Support Tool) was also used for determination of adaptation actions. | Yes | 15067724 | 2018 | {"type"=>"Point", "coordinates"=>[28.9784, 41.0082]} | 2020-05-01T04:02:41.860 | ||||||||
| 1195 | 2019 | 840930 | Prefeitura de Venâncio Aires | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 71554 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1196 | 2019 | 37241 | City of Berkeley | Berkeley | 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 | Smaller – covers only part of the city | 2000 | 2000 | 728425 | 80 | 2050 | 145685 | 15 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Yes | Berkeley has a Climate Action Plan goal of reducing community-wide greenhouse gas emissions 80% below 2000 levels by 2050. Berkeley also has goals of becoming zero net carbon by 2050 and a fossil fuel free city.California has set a goal to reduce the state's greenhouse gas emissions to 1990 levels by 2020 and to 80 percent below 1990 levels by 2050.As local data is unavailable for 1990, it is unclear if Berkeley's local target exceeds the State target or not. | 121643 | 2018 | 2020-05-01T04:02:41.860 | |||||||
| 1197 | 2018 | 69968 | Alcaldia de Rionegro | Rionegro | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-75.3739, 6.15316]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1198 | 2018 | 31169 | Government of Hong Kong Special Administrative Region | Hong Kong | China, Hong Kong Special Administrative Region | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Intensity target | Other: Total | 2005 | 65 | 2030 | Metric tonnes of CO2e per unit GDP | 0 | 28 | To reduce carbon intensity by 65-75% target by 2030 using 2005 as the base. Base year of 0 is actually 0.025 | 7391700 | 2017 | {"type"=>"Point", "coordinates"=>[114.14, 22.2881]} | 2020-05-01T04:02:29.947 | |||||||||||
| 1199 | 2019 | 54608 | Alcaldia de Montería | Montería | Colombia | 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 | Las fuentes no difieren del inventario. | Smaller – covers only part of the city | 2012 | 2032 | 943467 | 20 | 2032 | Energy industry, Transport | Yes - 1.5 °C | No | El Plan Maestro de Cambio Climático “Montería Ciudad Verde 2019” plantea una reducción del 20% en las emisiones de gases de efecto invernadero. Esta meta se establece en relación a las emisiones generadas por el Municipio en el año 2009, año base del cálculo de la huella de carbono. El Plan Maestro de Cambio Climático “Montería Ciudad Verde 2019” plantea una reduccióndel 20% en las emisiones de gases de efecto invernadero. Esta meta se establece en relación a las emisiones generadas por el Municipio en el año 2009, año base del cálculo de la huella de carbono. Abarcando los siguientes ejes temáticos: Movilidad urbana, Eficiencia Energética y Energías Renovables, Gestión de Residuos, Saneamiento Básico y Agua Potable, Construcción Sostenible, Responsabilidad Ambiental, Desarrollo Agropecuario, Vulnerabilidad, Adaptación y Resiliencia, Cultura Ciudadana, Conservación de Ecosistemas, y Reforestación y Zonas Verdes | 357746 | 2018 | {"type"=>"Point", "coordinates"=>[-75.8814, 8.74798]} | 2020-05-01T04:02:41.860 | |||||||
| 1200 | 2018 | 58671 | Helsingør Kommune / Elsinore Municipality | Helsingør | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2008 | 415000 | 100 | 2050 | 36 | Carbon neutral by 2050 at the latest. | 62686 | 2017 | {"type"=>"Point", "coordinates"=>[12.5921, 56.0308]} | 2020-05-01T04:02:29.947 |
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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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