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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 701 | 2019 | 31009 | City of Copenhagen | Copenhagen | Denmark | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | 602481 | 2017 | {"type"=>"Point", "coordinates"=>[12.5683, 55.6761]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 702 | 2018 | 35902 | City of Nagoya | Nagoya | Japan | East Asia | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2013 | 15990000 | 27 | 2030 | 29 | 2303070 | 2017 | {"type"=>"Point", "coordinates"=>[136.906, 35.1815]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 703 | 2018 | 57616 | City of Lake Forest, IL | Lake Forest | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 2007 | 20 | 2015 | After reaching our target, our current goal is to decrease emissions 2% annually. | 19375 | 2010 | {"type"=>"Point", "coordinates"=>[-87.8406, 42.2586]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 704 | 2019 | 73668 | Malabrigo | 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 | 18989.27 | 20 | 2030 | 28986.58 | 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 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 Malabrigo 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 Malabrigo 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 𝑀𝑎𝑙𝑎𝑏𝑟𝑖𝑔𝑜)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 13,66%% en el municipio. Por lo tanto, el factor de ajuste resulta de 86%. Así, el aumento de emisiones proyectado para Malabrigo es del 52,65%. 𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝑀𝑎𝑙𝑎𝑏𝑟𝑖𝑔𝑜 2014 − 2030 (%) = 60,87 ∗ 0,86 ≅ 52,65 Tomando de base el inventario BÁSICO de Malabrigo del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 28.986,58 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑀𝑎𝑙𝑎𝑏𝑟𝑖𝑔𝑜 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒) = 18.989,27 𝑡𝐶𝑂2𝑒 ∗ 1,5265 ≅ 28.986,58 𝑡CO2e Tomando como referencia la meta de reducción de emisiones presentada por el país y lo establecido en el Pacto de Alcaldes por el Clima y la Energía, Malabrigo debe 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. Sin embargo, en el marco del presente Plan se ha buscado una meta aún más ambiciosa desde la gestión local, la cual asciende a una reducción del 20%. De esta forma, en 2030, Malabrigo no emitirá más de 23.189,26 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Malabrigo y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 7339 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 705 | 2018 | 54498 | Ayuntamiento de Murcia | Murcia | Spain | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2007 | 2141277 | 20 | 2020 | We already reach this target in 2015 | 443243 | 2017 | {"type"=>"Point", "coordinates"=>[-1.00495, 37.799]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 706 | 2019 | 36410 | City of Memphis | Memphis | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 2016 | 2019 | 17191915 | 71 | 2050 | 5061116 | Other: This is the overall emissions reduction target; includes all sectors | Do not know | No | The target relies on a number of recommended actions in the Energy, Transportation and Waste sectors. | 650618 | 2018 | {"type"=>"Point", "coordinates"=>[-90.049, 35.1495]} | 2020-05-01T04:02:41.860 | |||||||
| 707 | 2018 | 31184 | Prefeitura de São Paulo | São Paulo | Brazil | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 2003 | 15115 | 30 | 2012 | Ainda não foi feito o inventário para 2012. Todavia, provavelmente a meta não foi alcançada. | 11253.503 | 2017 | {"type"=>"Point", "coordinates"=>[-46.7382, -23.5595]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 708 | 2018 | 54060 | City of Greater Sudbury / Grand Sudbury | Sudbury | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-80.9645, 46.5268]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 709 | 2019 | 54253 | Wollongong City Council | Wollongong | Australia | Southeast Asia and Oceania | 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 | 2015 | 2050 | 100 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | our target is net zero emissions by 2050, indicating at this point in time there will be residual emissions from waste that will need to be offset. We also have an emissions reduction target of net zero emissions by 2030 for Council operations. | 216071 | 2018 | {"type"=>"Point", "coordinates"=>[150.893, -34.4278]} | 2020-05-01T04:02:41.860 | |||||||||||
| 710 | 2019 | 1093 | City of Atlanta | Atlanta | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Transport | 2009 | 2015 | 27266 | 20 | 2020 | Transport | Sharing mobility strategies, TOD, and parking strategies | 450182 | 2017 | {"type"=>"Point", "coordinates"=>[-84.388, 33.749]} | 2020-05-01T04:02:41.860 | |||||||||||
| 711 | 2018 | 73295 | City of La Crosse, WI | La Crosse | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-91.2396, 43.8014]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 712 | 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 | Same – covers entire city and nothing else | 1990 | 2012 | 427280 | 80 | 2050 | 85456 | 47.5 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: solid waste and waterwater process, Public facility, Residential buildings, Transport, Water | Do not know | Yes | Reduce community-wide greenhouse gas emissions 30% by 2020 and 80% by 2050 (compared to 1990 levels). State of California: . 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 | ||||||
| 713 | 2019 | 54518 | City of Helsingborg | Helsingborg | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2018 | 0 | 0 | Heating and cooling supply | Yes - 1.5 °C | No | In 2035 we will have zero emissions from burning waste. Today part of the waste that we burn for district heating contains fossil plastic. The target is that 2035 there will be no plastic in the waste that is burnt. | 145415 | 2018 | 2020-05-01T04:02:41.860 | |||||||||||
| 714 | 2018 | 55331 | Município de Ílhavo | Ílhavo | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 38598 | 2017 | {"type"=>"Point", "coordinates"=>[-7.58, 38.85]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||
| 715 | 2018 | 831620 | Yaoundé 3 | Yaoundé 3 | Cameroon | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[11.31, 3.52]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 716 | 2018 | 826423 | Município de Castelo Branco | Castelo Branco | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-7.49189, 39.8239]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 717 | 2019 | 54111 | City of Iowa City | Iowa City | 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 | 2016 | 1285168 | 28 | 2025 | 98 | Do not know | Do not know | In 2016, our mayor signed the Compact of Mayors, setting a city-wide target of reducing greenhouse gas emissions by 26-28% by 2025 | 76290 | 2018 | {"type"=>"Point", "coordinates"=>[-91.5302, 41.6611]} | 2020-05-01T04:02:41.860 | ||||||||
| 718 | 2018 | 62864 | City of Lancaster, PA | Lancaster, PA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-76.3055, 40.0379]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 719 | 2018 | 54513 | Municipality of Uppsala | Uppsala | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | {"type"=>"Point", "coordinates"=>[17.635, 59.8536]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||
| 720 | 2019 | 58797 | Hørsholm Kommune | Hørsholm | Denmark | Europe | 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 | 2011 | 165372 | 40 | 2030 | 99223 | 26 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Agriculture, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | Since emissiones have not been monitored before 2010 (base year) it is uncertain whether 40 % reduction target does align with actual required reductions from municipalities in order to contribute to and reach the national target. There has not been set a Municipally Determined Contribution, though it would be handy, since action possibilities vary great between municipalities in terms of both economic andgeografic conditions. | 24856 | 2015 | {"type"=>"Point", "coordinates"=>[12.5049, 55.8835]} | 2020-05-01T04:02:41.860 | ||||||
| 721 | 2019 | 54529 | City of Leicester | Leicester | United Kingdom of Great Britain and Northern Ireland | Europe | 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 | 1990 | 2005 | 2388260 | 50 | 2025 | 1194130 | 91.4 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | No | No | Leicester City Council's target is for a 50% reduction on 1990 levels by 2025. This is more ambitious than the EU's NDC, which is a reduction of 40% on 1990 levels by 2030. | 353540 | 2017 | {"type"=>"Point", "coordinates"=>[-1.1333, 52.6333]} | 2020-05-01T04:02:41.860 | ||||||
| 722 | 2018 | 58609 | City of Ærøskøbing | Ærøskøbing | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 2015 | 10 | 6180 | 2017 | {"type"=>"Point", "coordinates"=>[10.4047, 54.8914]} | 2020-05-01T04:02:29.947 | |||||||||||||||||
| 723 | 2019 | 55372 | Prefeitura Municipal de Canoas | Canoas | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 341343 | 2015 | {"type"=>"Point", "coordinates"=>[-51.1862, -29.9133]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 724 | 2019 | 54364 | City of Kuala Lumpur | Kuala Lumpur | Malaysia | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 2010 | 25427 | 70 | 2030 | reduce as much as 70% of CO2 emission intensify by 2030 | 1790000 | 216 | {"type"=>"Point", "coordinates"=>[101.687, 3.139]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 725 | 2018 | 36492 | Comune di Parma | Parma | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[10.3279, 44.8015]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 726 | 2018 | 50384 | Prefeitura de Florianópolis | Florianópolis | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | 2013 | 42 | 2020 | low carbon agriculture, implementation of green infrastructure, reduction in energy, consumption, sanitation, reducing fuel consumption | 550000 | 2010 | {"type"=>"Point", "coordinates"=>[-48.5482, -27.595]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 727 | 2019 | 1499 | Ajuntament de Barcelona | Barcelona | Spain | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2008 | 2011 | 2164000 | 1 | 2020 | 100 | Commercial buildings, Industrial facilities, Residential buildings | No | No | Residential, Commercial and Industrial sectors. | 1620343 | 2018 | {"type"=>"Point", "coordinates"=>[2.1775, 41.3823]} | 2020-05-01T04:02:41.860 | |||||||
| 728 | 2019 | 55380 | Prefeitura Municipal de Cubatão | Cubatão | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-46.4234, -23.8994]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 729 | 2019 | 35867 | Region Metropolitana de Guadalajara | Guadalajara | Mexico | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | No target | 4865122 | 2015 | {"type"=>"Point", "coordinates"=>[-103.35, 20.6597]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 730 | 2018 | 60328 | Prefeitura de Pirenópolis | Pirenópolis | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-48.9595, -15.8545]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 731 | 2019 | 54517 | City Örebro | Örebro | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Base year intensity target | Other: Energy and transport | Same – covers entire city and nothing else | 2000 | 2016 | 70 | 2030 | 380391 | Metric tonnes of CO2e per capita | 7 | 50 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Yes | In Sweden we have a climate law and within that framework we have a goal of net zero emissions by 2045. In addition, emissions from domestic transport (excluding domestic flights) will be reduced by at least 70 percent by 2030 compared with 2010. The overall goal for Örebro Municipality is to reach climate neutrality to 2045. Interim targets for Örebro Municipality is to reduce the climate impact (from energy and transport) by 100 percent per capita by 2045, 70 percent per capita by 2030, and 40 percent per capita by 2020, compared with 2000. For the geographical area, the interim targets in the strategy includes the sectors energy and transport. These are easier to make fossil free than other sectors, such as food production and imported products. The sectors energy and transport therefore need to take a larger part of the reduction.For example, Örebro municipality can reduce the climate impact from transport through sustainable urban planning for increased sustainable travel, place demands on suppliers during procurement and work with the municipality's own vehicle fleet and our own travel (in the organisation). Then we are dependent on instruments at the European and national level.Sweden has submitted as a European member to the NDC in 2015 (EU first NDC). The EU climate plan contains emission reductions of 40 percent by 2030, compared with 1990. Sweden’s national target for the non-trading sector has a higher level of ambition than Sweden’s commitment within the EU. | 153367 | 2018 | {"type"=>"Point", "coordinates"=>[15.2066, 59.2741]} | 2020-05-01T04:02:41.860 | |||||
| 732 | 2018 | 69850 | Municipalidad de Comas | Comas | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-77.0667, -11.95]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 733 | 2018 | 10495 | City of Las Vegas | Las Vegas | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-115.14, 36.1699]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 734 | 2018 | 50541 | City of Greensboro | Greensboro | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2007 | 5365412 | 0 | 2020 | Goal is to stabilize at baseline emissions level. | 290222 | 2017 | {"type"=>"Point", "coordinates"=>[-79.792, 36.0726]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 735 | 2018 | 69823 | Visby | Visby | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | {"type"=>"Point", "coordinates"=>[18.2948, 57.6348]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 736 | 2019 | 54349 | Balikpapan City Government | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Other: Stationary energy,Industrial processes and product use (IPPU),Transport,Agriculture, forest and other land use (AFOLU),Waste management | Same – covers entire city and nothing else | 2010 | 2014 | 954593 | 19.39 | 2020 | 1881323 | 35 | Other: Stationary Industry, Transport, Waste, Agriculture | Do not know | No | The government doesn't determine the spesific the GHG emmision target, refer the Action Plan for GHG Reduction of East Kalimantan Province | 636012 | 2018 | {"type"=>"Point", "coordinates"=>[116.831, -1.26539]} | 2020-05-01T04:02:41.860 | |||||||
| 737 | 2019 | 42178 | Distrito Metropolitano de Quito | Quito | Ecuador | Latin America | 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 | 2019 | 7579000 | 5 | 2050 | 3503458 | 100 | Other: A todos los sectores | La meta se estima en función del BAU, y está inlcuida en el plan de Desarrollo de la Ciudad, que establece una reducción del 5% de las emisiones a partir del 2019, en función del crecimiento proyectado. | Yes - 1.5 °C | No | La meta de la ciudad es más ambiciosa que la NDC. | 2239191 | 2010 | {"type"=>"Point", "coordinates"=>[-78.5167, -0.2333]} | 2020-05-01T04:02:41.860 | |||||
| 738 | 2018 | 43911 | City of Ottawa | Ottawa | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2012 | 6907000 | 12 | 2024 | 11 | 979.173 | 2017 | {"type"=>"Point", "coordinates"=>[-75.6972, 45.4215]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 739 | 2019 | 60391 | Municipalidad de San Borja | San Borja | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | 113540 | 2019 | {"type"=>"Point", "coordinates"=>[-12.1078, -76.9989]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 740 | 2018 | 50557 | City of Norfolk | Norfolk | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[38.8468, -76.2851]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 741 | 2019 | 60385 | Alcaldía de Villavicencio | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Other: Municipio | No target | 527673 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 742 | 2019 | 35877 | City of Pittsburgh | Pittsburgh | 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 | 2005 | 5987870 | 20 | 2023 | 4790296 | 2 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes | In PCAP 1.0 PCI set a target of 20% below 2003 baseline by 2023. We are currently developing more ambitious and specific greenhouse gas reduction targets. | 301048 | 2018 | {"type"=>"Point", "coordinates"=>[-79.9959, 40.4406]} | 2020-05-01T04:02:41.860 | ||||||
| 743 | 2019 | 840042 | Gislaveds Kommun | GISLAVED | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 29857 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 744 | 2018 | 55799 | Arlington, VA | Arlington | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | County | Intensity target | Total city-wide emissions | 2007 | 76 | 2050 | Metric tonnes of CO2e per capita | 12.9 | 24 | The primary factors driving the 24% reduction in GHG emissions between 2007 and 2016 were:1. A 28 percent decline (improvement) in the CO2e emissions factor for grid electricity between 2007 and 2016,2. A 14 percent decline in total energy use in the non-residential sector (commercial buildings), even amid expansion of the commercial office, hotel, and retail/restaurant inventory,3. A four percent decline in total energy use in residential buildings which, combined with a 12 percent increase in number of households between 2007 and 2016, results in a 14 percent decrease in the amount of energy use per household,4. A 13 percent reduction in emissions from the transportation sector, due to a combination of a 10 percent reduction in vehicle-miles traveled (including pass-through traffic) and a slight improvement in the fuel economy of vehicles. | 222800 | 2016 | {"type"=>"Point", "coordinates"=>[-76.0026, 37.2265]} | 2020-05-01T04:02:29.947 | |||||||||||
| 745 | 2018 | 58795 | Blantyre City Council | Blantyre | Malawi | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[35.0378, -15.8028]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 746 | 2019 | 73787 | Tapalqué | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 747 | 2019 | 35897 | Municipality of Campinas | Campinas | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Independent city | Base year emissions (absolute) target | Waste | Same – covers entire city and nothing else | 2016 | 2020 | 179710.63 | 14.4 | 2040 | 153832.3 | 0 | Other: Disposição e tratamento de efluentes domésticos. | Yes - 2 °C | No | A meta da cidade é menos ambiciosa (em valor absoluto) do que a NDC nacional devido ao fato de que a cidade de Campinas se configura como uma área urbana já consolidada onde o range de redução das emissões de GEE é notadamente mais restrito que o nacional. | 1194094 | 2018 | {"type"=>"Point", "coordinates"=>[-46.9372, -22.744]} | 2020-05-01T04:02:41.860 | ||||||
| 748 | 2019 | 54619 | Municipalidad Provincial de Piura | Piura | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 815 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 749 | 2019 | 59996 | Batangas City | Batangas | Philippines | 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 | 2010 | 2014 | 421884 | 25 | 2030 | 0 | Commercial buildings, Energy industry, Industrial facilities, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes | From the base year 2010, under the business as usual scenario, GHG emission in each identified sector is projected to increase by at least 25% by figure until 2015. On the contrary, with the assumption that Batangas City shall push for the initiatives promulgated by the GHG management plan and the intensive implementation of its Environment Code, GHG emission is expected to decrease from the 2015 year point towards 2030 using again the 25% target but in terms of reduction in emission. The Philippines intends to undertake GHG (CO2e) emissions reduction of about 70% by 2030 relative to its BAU scenario of 2000-2030. Reduction of CO2e emissions willcome from energy, transport, waste, forestry and industry sectors. The mitigation contribution is conditioned on the extent of financial resources, including technologydevelopment & transfer, and capacity building, that will be made available to the Philippines. | 354170 | 2017 | {"type"=>"Point", "coordinates"=>[121.058, 13.7565]} | 2020-05-01T04:02:41.860 | |||||||
| 750 | 2019 | 58590 | City of Easton, PA | Easton | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 26915 | 2015 | {"type"=>"Point", "coordinates"=>[-75.2207, 40.6884]} | 2020-05-01T04:02:41.860 |
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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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