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2019 City-wide Emissions Reduction Targets
This is a filtered view based on 2018 - 2019 City-wide Emissions Reduction Targets.
| Row number | Year Reported to CDP | Account Number | Organization | City | Country | CDP region | Reporting authority | Access | City boundary | Type of target | Sector | Identify and explain sources that differ from the inventory | Target boundary relative to city boundary | Base year | Year of target implementation | Base year emissions (metric tonnes CO2e) | Percentage reduction target | Target year | Target year absolute emissions (metric tonnes CO2e) | Projected population in target year | Intensity unit (emissions per) | Base year emissions per intensity unit (metric tonnes CO2e per denominator) | Estimated business as usual absolute emissions in target year (metric tonnes CO2e) | Percentage of target achieved so far | Indicate which sector(s) the target applies | Description of the target and the modelling methodology(ies) and parameters used to define it | Does this target align with the global 1.5 - 2°C pathway set out in the Paris agreement? | Does this target align to a requirement from a higher level of (sub-national) government? | Target description | Population | Population year | City Location | Last update |
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| 851 | 2019 | 58543 | Byron Shire Council | Byron Shire | Australia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability | public | Other: Local government area (rural) | Base year emissions (absolute) target | Other: City-wide operational emissions only | Same – covers entire city and nothing else | 2015 | 2017 | 18660 | 100 | 2025 | 0 | 6.5 | Other: Council Operations, Public facility | Yes - 1.5 °C | No | Our target is to get to net zero emissions for all Council operations by 2025. | 34574 | 2018 | {"type"=>"Point", "coordinates"=>[153.533, -28.6534]} | 2020-05-01T04:02:41.860 | ||||||
| 852 | 2019 | 54092 | City of Ann Arbor | Ann Arbor | 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 | 2000 | 2196556 | 25 | 2025 | 1647417 | 2 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | No | This is an ambitious target for our city. There is no target at a sub-national level. The target is very close to the United State's NDC of 26-28% reduction by 2025. However, this is a target, and with every project we strive to exceed both the amount and timeline for the target. | 121890 | 2018 | {"type"=>"Point", "coordinates"=>[-83.743, 42.2808]} | 2020-05-01T04:02:41.860 | |||||||
| 853 | 2019 | 50378 | Municipalidad de San José | San José | Costa Rica | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Transport | Same – covers entire city and nothing else | 617188 | 0 | 15 | Transport | Yes - 2 °C | Yes | Año base: 2017.Alternativas de transporte público (tranvía y/o tren eléctrico de corta distancia). La meta de reducción como tal no ha sido calculada por necesidad de encontrar la metodología adecuada. El cálculo de reducciones se podrá basar en el cambio de la distribución modal de los ciudadanos que se movilizan por el cantón. Con ello, analizando la disminución en el uso del automóvil, bus, motocicleta o algún otro medio que circule con combustible fósil, por un incremento en el uso de la alternativa del transporte público aquí planteada. Se observarán reducciones por sustitución del tren urbano que se moviliza a diésel por un modo de transporte eléctrico, cuya generación de emisiones es significativamente menor dada la producción eléctrica en el país con fuentes limpias. De acuerdo con el estudio del BID del 2016 -San José, De la Acción Local a la Sostenibilidad Metropolitana-, el tranvía permitiría ahorrar un 4% de las emisiones anuales de CO2. El estudio estima también que 10 000 viajes en vehículos pasarían a transferirse al transporte público, reduciendo la congestión en las calles. Desde la Alcaldía, la Municipalidad ha promovido la operación de un tranvía en el casco central del cantón, que permitiría movilizar a gran cantidad de personas que transitan por la ciudad. Esta iniciativa busca también ampliar las opciones de transporte público, permitiendo a la población escoger la de su conveniencia. Para ejecutar esta acción, debe considerarse lo siguiente: Coordinación cercana con el MOPT. Infraestructura del tranvía o tren eléctrico. Tramos de recorrido. Tecnología por utilizar. Cantidad proyectada de usuarios. Cobro de tarifas. Acceso a información sobre el medio de transporte. Estaciones seguras, cómodas, accesibles, inclusivas.SinergiasIntegración con los nodos intermodales.Conexiones y cercanías con aceras y áreas de la ciudad caminable.Recomendaciones: Considerar la iniciativa del Gobierno Central de instalar un Tren Rápido de Pasajeros (TRP) de modo que esta propuesta de tranvía o tren de corta distancia pueda conjugarse con ese proyecto. Coordinar con el Gobierno la identificación de aspectos en común o que puedan apoyar la implementación de esta propuesta municipal evitando duplicación de esfuerzos. Utilizar sistemas de pago electrónico e integración tarifaria para aumentar la rapidez y eficiencia del servicio. | 342188 | 2017 | {"type"=>"Point", "coordinates"=>[9.9326, -84.0796]} | 2020-05-01T04:02:41.860 | ||||||||||
| 854 | 2019 | 36426 | Riga City | Riga | Latvia | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | Sources do not differ from the inventory. | Same – covers entire city and nothing else | 2014 | 2020 | 660000 | 94.17 | Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport | Yes - 2 °C | Indicator 13.4 “Reduction of CO2 emissions against the base year (1990)” is used for the annual performance review of the Action Direction 13 “Broad-scale implementation of energy efficiency” of the Development Programme of Riga for 2014-2020.Sources of information:Development Programme of Riga for 2014-2020Riga Smart City Sustainable Energy Action Plan for 2014-2020 – http://www.rea.riga.lv/files/RIGA_SMART_CITY_SEAP_2014-2020_EN.pdfSustainable Development Strategy of Riga until 2030 and Development Programme of Riga for 2014-2020 implementation monitoring report, 2017Riga Smart City Sustainable Energy Action Plan 2014-2020. Progress Report 2014 - http://www.rea.riga.lv/files/Riga_SEAP_2014-2020_Progress_Report_2014.pdfCO2 emissions inventory for 2015 and 2016 of Riga smart city sustainable energy action plan 2014-2020 | 632614 | 2019 | {"type"=>"Point", "coordinates"=>[24.1052, 56.9496]} | 2020-05-01T04:02:41.860 | |||||||||
| 855 | 2019 | 35910 | Pune Municipal Corporation | Pune | India | South and West Asia | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | 3402000 | 2011 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 856 | 2019 | 834255 | Municipality of Guaymallén | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 857 | 2019 | 43937 | Wellington City Council | Wellington | New Zealand | 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 | NA. | Same – covers entire city and nothing else | 2001 | 1105654 | 80 | 2050 | 0 | 0 | Other: Overarching reduction target | Do not know | Yes | Wellington City has a target of a 80% reduction by 2050 relative to 2001 levels. This target is not sector-specific. Between 2000/01 and 2014/15, Wellington City's gross emissions decreased by 2.1%. Wellington City is currently in the throes of implementing a roadmap to reach net zero emissions by 2050. Consultation finished in May on this plan (the First to Zero Carbon Capital Plan) and is set to be finalised in June. Furthermore, the Zero Carbon Bill has been introduced to Parliament in May to legislate for net zero GHG emissions by 2050, excluding biogenic methane - biogenic methane to be reduced between 24-47% below 2017 levels by 2050. The bill is set to come into force at the end of 2019. In this respect, 2019 is a pivotal year for Wellington and New Zealand's climate policy development and legislative target-setting. Following the legislation for net zero GHG emissions by 2050 excluding biogenic methane emissions, Wellington and other centres will have to align their targets and policies accordingly (this will be done through the adoption of the First to Zero Carbon Capital Plan in June). | 213847 | 2019 | {"type"=>"Point", "coordinates"=>[174.776, -41.2865]} | 2020-05-01T04:02:41.860 | ||||||
| 858 | 2019 | 50375 | Ayuntamiento de Chihuahua | Chihuahua | Mexico | Latin 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 | 14330260 | 1 | 2016 | 14330260 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Yes | 878062 | 2015 | {"type"=>"Point", "coordinates"=>[-106.076, 28.6368]} | 2020-05-01T04:02:41.860 | |||||||
| 859 | 2019 | 54361 | Petaling Jaya City Council | Petaling Jaya | Malaysia | 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 | 2014 | 2030 | 3496000 | 30 | 2030 | 2447000 | 8 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Yes | As pledged in our Nationally Determined Contribution (NDC), Malaysia intends to reduce the greenhouse gas (GHG) emissions intensity of GDP by 45% by 2030 relative to the emissions intensity of GDP in 2005. This consists of 35% on an unconditional basis and a further 10% is conditional upon receipt of climate finance,technology transfer and capacity building from developed countries.It is expected that Petaling Jaya's target is of higher value because it refers to reduction in absolute value rather than intensity. | 658611 | 2010 | {"type"=>"Point", "coordinates"=>[101.595, 3.1279]} | 2020-05-01T04:02:41.860 | ||||||
| 860 | 2019 | 840521 | City of Denizli | Turkey | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | Baseline scenario (business as usual) target | All emissions sources included in city inventory | Total emissions of Denizli and the emissions per person of Denizli are estimated toincrease. In case of attaining the goal, it is being expected for Denizli’s emissions perperson to increase by 7%, while its total emissions would increase by 26% compared to2016. Attaining this goal will be one of the significant means of making the growth ofDenizli sustainable.Reduction target is determined as 21% reduction from the projected emissions in 2030,to be compatible with the INDC of Turkey. Following sectoral emission reductions havebeen projected in 2030 throughout Denizli under the action plan. These emissions shouldnot be considered as sectoral targets but as expected reduction s in different sectors. | Larger – covers the whole city and adjoining areas | 2016 | 2030 | 7500000 | 21 | 2030 | 9500000 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Land Use/ Waste/WasteWater, Public facility, Residential buildings, Transport | The Denizli Greenhouse Gas Inventory has been prepared in accordance with Global Protocol for Local GHG Emissions (GPC) which was prepared in 2014 by C40 Cities Climate Leadership Group (C40), the International Council of Local Environmental Initiatives (ICLEI) and the World Resources Institute (WRI) and which is widely used by local governments. The GPC was prepared on the basis of the IPCC National Greenhouse Gas Inventory Guidelines developed by the Intergovernmental Panel on Climate Change (IPCC) in 2006 and updated periodically. In this way, the results described in the following chapters are intended to be comparable and acceptable on a global scale.C40, ICLEI and WRI in the same collaboration created the inventory preparation tool “City Inventory Reporting and Information System - CIRIS) based on GPC for the local governments to prepare their inventories of greenhouse gases in a practical way and to meet a certain standard. CIRIS is the latest and most comprehensive GHG inventory preparation tool created in 2017, prepared in accordance with the IPCC emission sources categories for metropolitan cities. The Greenhouse Gas Inventory of Denizli 2016 was prepared using the standard version of CIRIS dated 17 August 2017 v2.1. | Yes - 1.5 °C | Yes | Denizli is a city which is continuing to expand. The fact that province’s population willreach to 1.1 million, which was 1 million in 2016, is present in the reports of TurkStat. In thatreport, it is anticipated that the population of the province would reach to 1.2 million in2030. Significant increase is being expected in between 2016 – 2030 in the parametersrelevant to greenhouse gas emission as industrial production, vehicle ownership andstock of buildings being in the first place. As per the modeling performed in the study,the emissions of Denizli for the year 2030 has been anticipated as 11.9 million tons ofCO2e. In the same year, the emissions per person are being expected to be 10.1 tonsof CO2e. A reduction target of 21% has been set for 2030. According to that, it is beinganticipated to decrease the emissions per person in 2030 in Denizli to 8.0 tons of CO2e,and to have the total emissions remain as 9.5 million tons of C O2e.Total emissions of Denizli and the emissions per person of Denizli are estimated toincrease. In case of attaining the goal, it is being expected for Denizli’s emissions perperson to increase by 7%, while its total emissions would increase by 26% compared to2016. Attaining this goal will be one of the significant means of making the growth ofDenizli sustainable. | 1027782 | 2018 | 2020-05-01T04:02:41.860 | ||||||
| 861 | 2019 | 840924 | Prefeitura de Alexânia | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 862 | 2019 | 58671 | Helsingør Kommune / Elsinore Municipality | Helsingør | 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 | 2008 | 2010 | 415408 | 40 | 2030 | 249245 | 94 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Trade and service, construction, agriculture and horticulture, waste and wastewater, Public facility, Residential buildings, Transport, Water | Other: Yes | Yes | As a signatory of Covenant of Mayors (now combined with Compact of Mayors), Elsinore Municipality made a SEAP and committed itself to reduce the CO2eq emissions by at least 40% by 2030. | 62567 | 2019 | {"type"=>"Point", "coordinates"=>[12.5921, 56.0308]} | 2020-05-01T04:02:41.860 | ||||||
| 863 | 2019 | 74309 | Nakhon Sawan | Thailand | East Asia | 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 | 2016 | 2019 | 372665.5 | 30 | 2030 | 485765.5 | 0 | Commercial buildings, Other: Waste, Public facility, Residential buildings, Transport | Do not know | Yes | 83045 | 2018 | 2020-05-01T04:02:41.860 | |||||||||
| 864 | 2019 | 831616 | Commune de Tsévié | Tsévié | Togo | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 59000 | 2017 | {"type"=>"Point", "coordinates"=>[1.21333, 6.42611]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 865 | 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 | 51 | 2035 | 8479086 | 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. Much of the reduction target can be attributed to recommended actions in the Energy sector. | 650618 | 2018 | {"type"=>"Point", "coordinates"=>[-90.049, 35.1495]} | 2020-05-01T04:02:41.860 | |||||||
| 866 | 2019 | 59531 | City of Santa Barbara, 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 | 747350 | 0 | 2020 | 747350 | 100 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Applies to all community emissions, Public facility, Residential buildings, Transport, Water | No | Yes | This target was established to be consistent with the State targets (AB32) that existed at the time of plan development, which were to reduce community-wide emissions to below 1990 levels by 2020. | 93532 | 2019 | 2020-05-01T04:02:41.860 | ||||||||
| 867 | 2019 | 60264 | Prefeitura de Botucatu | Botucatu | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 144000 | 2019 | {"type"=>"Point", "coordinates"=>[-48.4441, -22.8852]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 868 | 2019 | 839650 | Ayuntamiento de Uriangato | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | 1241 | 2015 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 869 | 2019 | 840931 | Prefeitura de Cordeirópolis | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 25000 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 870 | 2019 | 74386 | Gangtok | India | South and West Asia | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 100286 | 2011 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 871 | 2019 | 73365 | Town of Ithaca | 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 | 2009 | 2011 | 3928 | 80 | 2050 | Other: Streetlights, Public facility, Transport, Water | No | Reduce carbon dioxide emissions of government operations 80% by 2050 relative to 2009 levels | 20372 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||
| 872 | 2019 | 73413 | Commune de Cocody | Cocody | Côte d'Ivoire | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | 800000 | 2018 | {"type"=>"Point", "coordinates"=>[-3.9674, 5.3602]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 873 | 2019 | 50568 | City of Saskatoon | Saskatoon | 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 | 2014 | 2017 | 3852171 | 15 | 2023 | 3713892 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | No | On June 26, 2017, City Council set greenhouse gas reduction targets for Saskatoon based on the City’s 2014 GHG emissions inventory. They include:• Reducing the City of Saskatoon’s (corporate operations only) emissions by 40% below 2014 levels by 2023; and 80% by 2050.• Reducing the Community’s emissions by 15% below 2014 levels by 2023; and 80% by 2050. | 272200 | 2019 | {"type"=>"Point", "coordinates"=>[-106.67, 52.1332]} | 2020-05-01T04:02:41.860 | ||||||
| 874 | 2019 | 63543 | Fredensborg Kommune | Fredensborg | 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 | 2010 | 243000 | 25 | 2020 | 182250 | 25 | Commercial buildings, Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport | No | Yes | In 2016 and 2017 a methodology change to the GPC-stand has been on the way. The baseline year emissions will possible be converted to this standard. | 40112 | 2016 | {"type"=>"Point", "coordinates"=>[12.4058, 55.9747]} | 2020-05-01T04:02:41.860 | ||||||
| 875 | 2019 | 73763 | San Carlos City | Philippines | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | Other: Agricultural Emission | Smaller – covers only part of the city | 2015 | 2018 | 10 | 2025 | 16156.28 | Metric tonnes of CO2e per capita | 6 | Energy industry, Heating and cooling supply, Other, Residential buildings, Transport | Yes - 1.5 °C | No | Reduce 10% of the total emission in the Agriculture sector through introduction of organic farming technology. | 132536 | 2015 | 2020-05-01T04:02:41.860 | ||||||||
| 876 | 2019 | 35872 | Municipality of Recife | Recife | Brazil | 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 | 2012 | 2016 | 3120425 | 24.6 | 2030 | 5776965 | 1637834 | 2018 | {"type"=>"Point", "coordinates"=>[-34.8829, -8.05783]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 877 | 2019 | 54119 | City of Palo Alto | Palo Alto | 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 | 2016 | 765920 | 80 | 2030 | 153184 | 56.5 | Commercial buildings, Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport, Water | Do not know | Yes, but it exceeds its scale or requirement | In April 2016, Palo Alto City Council unanimously adopted a goal of 80 percent greenhouse gas reduction by 2030, calculated utilizing the 1990 baseline. This ambitious goal is 20 years ahead of the State of California’s 80 percent by 2050 target. | 67082 | 2018 | {"type"=>"Point", "coordinates"=>[-122.143, 37.4419]} | 2020-05-01T04:02:41.860 | ||||||
| 878 | 2019 | 840918 | Prefeitura de Pilões | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 879 | 2019 | 60656 | City of Piedmont, CA | Piedmont | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 2005 | 2018 | 48820 | 33 | 2030 | 32557 | 66 | Commercial buildings, Energy industry, Heating and cooling supply, Residential buildings, Transport, Water | According to the NDC website, the United States intends to achieve an economy-wide target of reducing its greenhouse gas emissions by 26%-28% below its 2005 level in 2025 and to make best efforts to reduce its emissions by 28%. The City's target is more ambitions. The City's goals are consistent with the State's goals. The methodology used was from the Global Protocol for Community-Scale Greenhouse Gas Inventories, developed by the World Resources Institute, c40 Cities Climate Leadership Group (C40) and ICLEI (Local Governments for Sustainability). | No | Do not know | According to the NDC website, the United States intends to achieve an economy-wide target of reducing its greenhouse gas emissions by 26%-28% below its 2005 level in 2025 and to make best efforts to reduce its emissions by 28%. The City's target is more ambitions. The City's goals are consistent with the State's goals. | 11378 | 2017 | {"type"=>"Point", "coordinates"=>[-122.232, 37.8244]} | 2020-05-01T04:02:41.860 | |||||
| 880 | 2019 | 35878 | City of Sacramento | Sacramento | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 2005 | 83 | 2050 | 508529 | 2018 | {"type"=>"Point", "coordinates"=>[-121.494, 38.5816]} | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 881 | 2019 | 35755 | Village of Kadiovacik | Urla | Turkey | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | Fixed level target | Other: PV panels are installed and trees has been planted to trade off. Therefore general emission has been set to ZERO. | Same – covers entire city and nothing else | 1 | 232 | 2017 | {"type"=>"Point", "coordinates"=>[26.5536, 38.3434]} | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 882 | 2019 | 53829 | City of Kingston, ON | Kingston | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 124000 | 2016 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 883 | 2019 | 60409 | Municipalidad Provincial de Callao | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Province / County | No target | 994494 | 217 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 884 | 2019 | 54488 | Trondheim Municipality | Trondheim | Norway | 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 | 1991 | 2017 | 482000 | 10 | 2020 | 0 | Commercial buildings, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport | Do not know | Yes | 196000 | 2019 | {"type"=>"Point", "coordinates"=>[10.395, 63.4305]} | 2020-05-01T04:02:41.860 | ||||||||
| 885 | 2019 | 59180 | Middelfart Kommune | Middelfart | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 2010 | 362234 | 50 | 2025 | 38211 | 2018 | {"type"=>"Point", "coordinates"=>[9.87264, 55.471]} | 2020-05-01T04:02:41.860 | ||||||||||||||
| 886 | 2019 | 43940 | Malmö Stad | Malmö | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2009 | 1460000 | 40 | 2020 | 876000 | 36 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | This target align with national emission targets in Sweden. | 338369 | 2018 | {"type"=>"Point", "coordinates"=>[13.0038, 55.605]} | 2020-05-01T04:02:41.860 | ||||||
| 887 | 2019 | 50555 | City of Hamilton | Hamilton | 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 | 2006 | 2008 | 23087326 | 20 | 2020 | 18469860.8 | 100 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes, but it exceeds its scale or requirement | Reduce 2006 emissions by 20% by 2020. | 558397 | 2017 | {"type"=>"Point", "coordinates"=>[-79.8661, 43.25]} | 2020-05-01T04:02:41.860 | ||||||
| 888 | 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 | 40 | 2020 | 17700000 | 80 | Yes - 2 °C | Target as laid down in the Berlin Energy Turnaround Act. It only stipulates CO2 emissions, as 98% of all THG emissions in Berlin are CO2 emissions. | 3644998 | 2018 | {"type"=>"Point", "coordinates"=>[13.405, 52.52]} | 2020-05-01T04:02:41.860 | ||||||||
| 889 | 2019 | 59160 | Ville de Nyon | Nyon | Switzerland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | Energy | Same – covers entire city and nothing else | 2016 | 2017 | 46 | 2030 | 46350 | Metric tonnes of CO2e per capita | 3 | Commercial buildings, Heating and cooling supply, Public facility, Residential buildings | Yes | L'objectif correspond aux performances d'un scénario exploratoire territorialisé à cet horizon temporel. L’ampleur des nouvelles surfaces bâties prévues à cette échéance explique le décalage, enconsommations absolues, entre les objectifs visés pour le territoire communal à 2030 et ceux de la CDN. | 21211 | 2019 | {"type"=>"Point", "coordinates"=>[6.23478, 46.3833]} | 2020-05-01T04:02:41.860 | |||||||
| 890 | 2019 | 10894 | City of Los Angeles | Los Angeles | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2019 | 2015 | 25 | Commercial buildings, Energy industry, Industrial facilities, Other: Waste, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Target is based on scenario modelling that was determined to be consistent with a 1.5C pathway, per C40 climate action planning guidelines for cities. Compliance with C40 guidelines was assessed with an independent review. | 4021488 | 2017 | {"type"=>"Point", "coordinates"=>[-118.244, 34.0522]} | 2020-05-01T04:02:41.860 | |||||||||||
| 891 | 2019 | 73732 | Monte Buey | 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 | 2018 | 42433.4 | 18 | 2030 | 81624.11 | 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 Monte Buey 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 Monte Buey 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 𝑀𝑜𝑛𝑡𝑒 𝐵𝑢𝑒𝑦)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79%8 y un 23,96%9 en el municipio. Por lo tanto el factor de ajuste resulta de 1,52. Así, el aumento de emisiones proyectado para Monte Buey será del 92.36%. Aumento de emisiones en 𝑀𝑜𝑛𝑡𝑒 𝐵𝑢𝑒𝑦 2014 − 2030 (%) = 60,87% ∗ 1,52= 92,36% Tomando de base el inventario BÁSICO de Monte Buey del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 81.624,11 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑀𝑜𝑛𝑡𝑒 𝐵𝑢𝑒𝑦 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒) = 42.433,40 𝑡𝐶𝑂2𝑒 ∗ 1,9236 = 81.624,11 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, Monte Buey 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, Monte Buey no emitirá más de 66.931,77 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Monte Buey y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 6285 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 892 | 2019 | 54402 | City of Lahti | Lahti | Finland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2019 | 1174000 | 80 | 2025 | 235000 | 41 | Energy industry, Heating and cooling supply, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | In the City strategy 2018 said: -70% by 2030 (from 1990 level). However, the emissions are lowering faster phase than anticipated, so the City Board made decision 6/2019 that the reduction should be -80% by 2025. With compensationing and trade-offs this means carbon neutrality. Finland national climate target will be tighned but it will Still be lower than Lahti target. | 120028 | 2019 | {"type"=>"Point", "coordinates"=>[25.65, 60.9833]} | 2020-05-01T04:02:41.860 | ||||||
| 893 | 2019 | 834300 | Municipality of Villanueva | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 1200000 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||||
| 894 | 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 | 28.8 | 2060 | 127953.97 | 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 | ||||||
| 895 | 2019 | 60258 | Prefeitura de Brusque | Brusque | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 128818 | 2017 | {"type"=>"Point", "coordinates"=>[-48.9207, -27.0936]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 896 | 2019 | 35274 | City of Portland, ME | Portland, ME | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | 66937 | 2017 | {"type"=>"Point", "coordinates"=>[-70.2553, 43.6615]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 897 | 2019 | 49172 | City of St. Petersburg | St. Petersburg | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 266000 | 2017 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 898 | 2019 | 834362 | Sigtuna Municipality | Sigtuna Municipality | Sweden | Europe | 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 | 2010 | 278669 | 40 | 2020 | 167201 | 31.75 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes | The 40% reduction in comparison to 1990 is a target adapted by the municipality a few years ago. In 2017 a climate plan has passed that states the goal of the municipality being fossil-free is 2040. In comparison, Sweden has the same goal set for 2045, thus Sigtuna municipality is exceeding the national requirement. Thus it is a two-step mitigation goal process where the first step is to reach 40% emissions compared to 1990 as fast as possible and then continue to decrease emissions to 0 by 2040.Since the target was set in 2010 in accordance with UN's convention on climate change it wasn't assessed then if it is in line with the Paris Agreement. | 48130 | 2018 | {"type"=>"Point", "coordinates"=>[17.7234, 59.6191]} | 2020-05-01T04:02:41.860 | ||||||
| 899 | 2019 | 54700 | Prefeitura Municipal de Sumaré | Sumaré | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Waste | Larger – covers the whole city and adjoining areas | 2016 | 2018 | 1065572.95 | 7.2 | 2030 | 988851.7 | 0 | Other: Resíduos domésticos, resíduos recicláveis | Do not know | Do not know | Ampliar cobertura de coleta seletiva, cadastro de catadores e diagnóstico individual de cooperativas, ampliar a compostagem de resíduos de poda, licenciamento de usinas e áreas para compostagem na região da RMC, incorporar o aproveitamento energético de metano. | 237007 | 2017 | {"type"=>"Point", "coordinates"=>[-47.2669, -22.8219]} | 2020-05-01T04:02:41.860 | ||||||
| 900 | 2019 | 31151 | City of Basel-Stadt | Basel | Switzerland | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent province: Local government area within a city/metropolitian area | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2017 | 2020 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: consume, city planning, sensibilisation., Public facility, Residential buildings, Transport | Yes - 2 °C | It is stronger than the national target. | 200408 | 2018 | {"type"=>"Point", "coordinates"=>[7.5928, 47.5619]} | 2020-05-01T04:02:41.860 |
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Description
This data was collected in partnership by CDP and ICLEI - Local Governments for Sustainability.
The dataset contains all city-wide emissions reduction targets publicly disclosed in 2018 and 2019
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