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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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| 1001 | 2019 | 46470 | Ayuntamiento de Vitoria-Gasteiz | Vitoria-Gasteiz | Spain | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Larger – covers the whole city and adjoining areas | 2006 | 2010 | 202227 | 27.7 | 2020 | 146124 | 88 | Commercial buildings | Do not know | Do not know | 251604 | 2018 | {"type"=>"Point", "coordinates"=>[-2.67, 42.84]} | 2020-05-01T04:02:41.860 | |||||||
| 1002 | 2019 | 60656 | City of Piedmont, CA | Piedmont | 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 | 2005 | 2018 | 48820 | 80 | 2050 | 9969 | 28 | Commercial buildings, Energy industry, Heating and cooling supply, Residential buildings, Transport, Water | Do not know | Yes, but it exceeds its scale or requirement | 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 | ||||||
| 1003 | 2019 | 826429 | Município de Figueira da Foz | Figueira da Foz | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-8.8576, 40.1521]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 1004 | 2019 | 31150 | Bangkok Metropolitan Administration | Bangkok | Thailand | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Local government area within a city / metropolitan area | Base year emissions (absolute) target | Transport | Same – covers entire city and nothing else | 2013 | 2020 | 13760000 | 16.75 | 2020 | 17910 | 83.23 | Transport | 5676648 | 2018 | {"type"=>"Point", "coordinates"=>[100.556, 13.7712]} | 2020-05-01T04:02:41.860 | |||||||||
| 1005 | 2019 | 58865 | Jammerbugt Kommune | Jammerbugt | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 38500 | 2016 | {"type"=>"Point", "coordinates"=>[9.54153, 57.1453]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1006 | 2019 | 54060 | City of Greater Sudbury / Grand Sudbury | Sudbury | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 161531 | 2016 | {"type"=>"Point", "coordinates"=>[-80.9645, 46.5268]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1007 | 2019 | 60140 | City of Nakuru | Nakuru | Kenya | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Province / County | Baseline scenario (business as usual) target | 2038945 | 2019 | {"type"=>"Point", "coordinates"=>[36.08, -0.30309]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1008 | 2019 | 840253 | Prefeitura de Pedra Bela | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 1009 | 2019 | 43975 | Municipalidad de Magdalena del Mar | Magdalena del Mar | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2017 | 2025 | 33560974 | 25 | 2025 | 25170730 | Public facility, Residential buildings | Yes - 1.5 °C | Do not know | SEGÚN LA POLÍTICA AMBIENTAL LOCAL DEL DISTRITO SE PLANTEÓ REDUCIR LAS EMISIONES EN UN 25% PARA EL AÑO 2025 | 60290 | 2017 | {"type"=>"Point", "coordinates"=>[-77.067, -12.0917]} | 2020-05-01T04:02:41.860 | |||||||
| 1010 | 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 | 100 | 2050 | 0 | 25 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Do not know | 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 | ||||||
| 1011 | 2019 | 35893 | City of Dar es Salaam | Dar es Salaam | United Republic of Tanzania | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Other: Agriculture | This inventory conducted in a National level as Tanzania GHG inventory and MRV system Project Report of April 2018 | Larger – covers the whole city and adjoining areas | 2000 | 2005 | 34019427 | 20 | 2015 | 22679618 | 66.7 | Water | Yes - 2 °C | Yes | Tanzania has already submitted it's INTENDED NATIONALLY DETERMINED CONTRIBUTIONS (INDCs).The target 1. To reduce climate related disasters from 70% to 50%, and significantly reduce the impacts of spatial and temporal variability of declining rainfall, frequent droughts and floods which have long term implications to all productive sectors and ecosystems, particularly the agricultural sector.2. To increase access to clean and safe water from 60% to 75%.3. To reduce greenhouse gas emissions economy wide between 10-20% by 2030 | 6041000 | 2019 | {"type"=>"Point", "coordinates"=>[39.2083, -6.79235]} | 2020-05-01T04:02:41.860 | |||||
| 1012 | 2019 | 50364 | Municipalidad de La Paz | La Paz (Bolivia) | Bolivia (Plurinational State of) | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 798 | 2017 | {"type"=>"Point", "coordinates"=>[-68.15, -16.5]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1013 | 2019 | 54709 | Prefeitura de Blumenau | Blumenau | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-49.0717, -26.9166]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 1014 | 2019 | 35268 | City of Boston | Boston | United States of America | North America | C40, 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 | 7820179 | 100 | 2050 | 0 | 21 | Commercial buildings, Industrial facilities, Other: Waste, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | In January, 2017 Mayor Walsh announced a new goal of being carbon-neutral by 2050. The U.S. does not have a 2050 target in its NDC. | 683015 | 2017 | {"type"=>"Point", "coordinates"=>[-71.0598, 42.3584]} | 2020-05-01T04:02:41.860 | |||||||
| 1015 | 2019 | 73678 | Chañar Ladeado | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 1016 | 2019 | 60029 | City of Cagayan de Oro | Cagayan de Oro | Philippines | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | 675950 | 2015 | {"type"=>"Point", "coordinates"=>[124.632, 8.45423]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1017 | 2019 | 55331 | Município de Ílhavo | Ílhavo | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Transport | 2008 | 2008 | 20524 | 71.92 | 2020 | 38598 | 2017 | {"type"=>"Point", "coordinates"=>[-7.58, 38.85]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 1018 | 2019 | 43928 | Canberra | Canberra | Australia | Southeast Asia and Oceania | 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 | 1990 | 3196800 | 40 | 2020 | 1918000 | Other: Total Emissions | Yes - 2 °C | No | Baseline emissions subject to change in event of methodology change | 423000 | 2018 | {"type"=>"Point", "coordinates"=>[149.124, -35.3075]} | 2020-05-01T04:02:41.860 | ||||||||
| 1019 | 2019 | 834323 | Patong Municipality | 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 | Smaller – covers only part of the city | 2015 | 2016 | 784531.06 | 5 | 2021 | 39226.55 | 10 | Public facility, Residential buildings, Transport | Do not know | Yes | Since Patong is encouraged to be a main tourist city of Thailand, it is difficult to control activities in the city to reduce the greenhouse gas emission to be as low as 20% as indicated in the NDC. | 20029 | 2019 | 2020-05-01T04:02:41.860 | ||||||||
| 1020 | 2019 | 54521 | BCP Council | Bournemouth | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2005 | 30 | 2020 | Metric tonnes of CO2e per capita | 6 | 100 | Commercial buildings, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Yes | Target has been achieved - 40% per capita reduction achieved. A new target is due to be set by BCP Council, to further reflect the Paris agreement pathway. | 193700 | 2016 | {"type"=>"Point", "coordinates"=>[-1.88076, 50.7192]} | 2020-05-01T04:02:41.860 | ||||||
| 1021 | 2019 | 54651 | Prefeitura de Santo André | Santo André | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 676407 | 2010 | {"type"=>"Point", "coordinates"=>[-46.5167, -23.6583]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1022 | 2019 | 73803 | Herrera | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 1023 | 2019 | 73671 | Godoy Cruz | 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 | 536489 | 30 | 2030 | 694818 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | En 2016 Argentina presentó su NDC, en ella propone no exceder la emisión neta de 483 millones de toneladas de dióxido de carbono equivalente en el año 2030, esto significaría reducir el 18% de las emisiones proyectadas en un escenario de referencia.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 MtCO2e11. 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 Godoy Cruz donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Este 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 Godoy Cruz 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 poblacional 2014-2030 de Godoy Cruz)/(variación poblacional 2014-2030 de Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 7,66% en el municipio. Por lo tanto el factor de ajuste resulta de 0,48. Así, el aumento de emisiones proyectado para Godoy Cruz será del 29,51%.Tomando de base el inventario BÁSICO de Godoy Cruz del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 694.817,90 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, Godoy Cruz se compromete a reducir sus emisiones de gases de efecto en al menos un 30% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Godoy Cruz no emitirá más de 486.372,53 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Godoy Cruz y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 191903 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 1024 | 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 | Same – covers entire city and nothing else | 0 | 255167 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1025 | 2019 | 36159 | City of Lisbon | Lisbon | Portugal | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2002 | 2018 | 3757705 | 60 | 2030 | 40 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | No | The target is aligned with the country strategy to be carbon neutral by 2050 | 547733 | 2011 | {"type"=>"Point", "coordinates"=>[-9.13933, 38.7223]} | 2020-05-01T04:02:41.860 | ||||||||
| 1026 | 2019 | 50551 | City of Long Beach | Long Beach | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 470130 | 2017 | {"type"=>"Point", "coordinates"=>[-118.194, 33.7701]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1027 | 2019 | 60218 | Municipality of Karlskrona | Karlskrona | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2016 | 2045 | Other: The emissions over all in the municipality | Do not know | The target allign with the swedish goal, carbon neutral 2045. | 66675 | 2018 | {"type"=>"Point", "coordinates"=>[15.5866, 56.1616]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 1028 | 2019 | 54609 | Alcaldia de Trujillo | Trujillo | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Metropolitan area | No target | 971116 | 217 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 1029 | 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 | Energy | Same – covers entire city and nothing else | 2016 | 2020 | 553980.14 | 27.2 | 2060 | 403297.54 | 0 | Commercial buildings, Energy industry, Industrial facilities, Other: Indústrias de Manufatura e Construção - Agricultura, Silvicultura e Pesca, Public facility, Residential buildings | 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 | ||||||
| 1030 | 2019 | 31112 | Kaohsiung City Government | Kaohsiung | Taiwan, Greater China | East Asia | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | N/A | Same – covers entire city and nothing else | 2005 | 2018 | 67326998 | 20 | 2030 | 53861598.4 | 13.23 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | Kaohsiung City had set up short-term GHG reduction target, which was 10% lower than the base year (2005). In order to achieve the target, the City has to establish future BAU to compare with baseline emissions. | 2773533 | 2018 | {"type"=>"Point", "coordinates"=>[120.344, 22.6297]} | 2020-05-01T04:02:41.860 | |||||
| 1031 | 2019 | 50368 | Municipalidad de Provincial de Arequipa | Arequipa | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | No target | 1009132 | 2017 | {"type"=>"Point", "coordinates"=>[-75.329, -11.0557]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1032 | 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 | 2008 | 415000 | 100 | 2045 | 0 | 36 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Trade and service, contruction, agriculture and horticulture, waste and wast water, Public facility, Residential buildings, Transport, Water | Other: Yes | Yes | Carbon neutral by 2045 at the latest. | 62567 | 2019 | {"type"=>"Point", "coordinates"=>[12.5921, 56.0308]} | 2020-05-01T04:02:41.860 | ||||||
| 1033 | 2019 | 54605 | Municipalidad de Cusco | Cusco | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Metropolitan area | No target | 434659 | 217 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 1034 | 2019 | 54305 | Rajkot Municipal Corporation | India | South and West Asia | 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 | 2015 | 2018 | 1887685 | 14 | 2022 | 263824 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Waste, Public facility, Residential buildings, Transport, Water | Do not know | No | Rajkot City council through the council resolution in year 2019 has committed to reduce 14% of the total annual GHG emission by year 2022-23 from the baseline annual GHG emissions in the year 2015-16. | 1286995 | 2011 | 2020-05-01T04:02:41.860 | |||||||||
| 1035 | 2019 | 61467 | Dipolog City | Philippines | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 130759 | 2015 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1036 | 2019 | 43920 | City of Ljubljana | Ljubljana | Slovenia | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | COP 21 | Larger – covers the whole city and adjoining areas | 2008 | 2011 | 2664278.15 | 30 | 2030 | 716008 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | 292988 | 2019 | {"type"=>"Point", "coordinates"=>[14.5058, 46.0569]} | 2020-05-01T04:02:41.860 | |||||||
| 1037 | 2019 | 834362 | Sigtuna Municipality | Sigtuna Municipality | Sweden | Europe | 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 | 2018 | 2030 | 55700 | Energy industry, Heating and cooling supply, Public facility, Transport, Water | Yes - 1.5 °C | The politically agreed upon target is a fossil-free municipal organisation by 2030. | 48130 | 2018 | {"type"=>"Point", "coordinates"=>[17.7234, 59.6191]} | 2020-05-01T04:02:41.860 | |||||||||||
| 1038 | 2019 | 59167 | Municipalidad de Providencia | Providencia | Chile | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | Energy | Same – covers entire city and nothing else | 2014 | 2016 | 50 | 2030 | 291116.82 | Metric tonnes of CO2e per unit GDP | 0.01 | Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes, and it exceeds its scale or requirement | La meta consiste en reducir en un 50% por unidad de PIB en relación a las emisiones del 2014. Esta meta es aún más ambiciosa a la NDC de Chile, que corresponde en la reducción de un 30% por unidad PIB de las emisiones en relación al 2014, sin embargo esta considera las emisiones de energía, transporte y residuos, ya la meta comunal -si bien posee acciones relacionadas a transporte y residuos- sólo hace referencia a las emisiones provenientes de electricidad, GLP y gas natural dada la complejidad de medición de tales sectores. Por otro lado, se pretende generar indicadores dentro de dos años. | 142079 | 2017 | {"type"=>"Point", "coordinates"=>[-70.6092, -33.4313]} | 2020-05-01T04:02:41.860 | ||||||
| 1039 | 2019 | 50203 | Gaziantep Metropolitan Municipality | Gaziantep | Turkey | 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 | 2015 | 2015 | 6408191 | 40 | 2030 | 3732820 | Energy industry, Heating and cooling supply, Industrial facilities, Transport, Water | Do not know | Yes | 2028563 | 2018 | 2020-05-01T04:02:41.860 | |||||||||
| 1040 | 2019 | 840037 | Tilisarao | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | 6256 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1041 | 2019 | 50387 | Prefeitura de Guarulhos | Guarulhos | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-46.5338, -23.4542]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 1042 | 2019 | 43932 | Auckland Council | Auckland | New Zealand | 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 | Same – covers entire city and nothing else | 1990 | 2012 | 8478656 | 40 | 2040 | 5087194 | Do not know | No | 1614400 | 2016 | {"type"=>"Point", "coordinates"=>[174.742, -36.8153]} | 2020-05-01T04:02:41.860 | |||||||||
| 1043 | 2019 | 50559 | City of St Catharines, ON | St Catharines | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2017 | 15 | 2020 | Metric tonnes of CO2e per capita | 17.7 | 100 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | 131400 | 2014 | {"type"=>"Point", "coordinates"=>[-79.2469, 43.1594]} | 2020-05-01T04:02:41.860 | |||||||
| 1044 | 2019 | 35873 | Municipality of Medellín | Medellín | Colombia | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Other | Las fuentes de emisión contempladas son los sectores de Energía Estacionaria, Transporte y Residuos. Se excluyen IPPU y AFOLU | Same – covers entire city and nothing else | 3562796 | 1 | 1844487 | Other: Sectores de Energía Estacionaria, Transporte y Residuos | La metodología utilizada fue bajo la herramienta de proyecciones PATHWAYS que incluye los diferentes sectores del inventario de GEI y que para cada uno de los sectores brinda las diferentes acciones que la ciudad puede emprender para reducir CO2. Es un modelo basado en datos de la ciudad, que incluye información del hoy con los datos de población y PIB actuales y proyectados, define una línea base, metas de reducción de corto, mediano y largo plazo y permite hacer un análisis de las emisiones residuales. | Yes - 2 °C | 2564000 | 215 | {"type"=>"Point", "coordinates"=>[-75.5735, 6.22729]} | 2020-05-01T04:02:41.860 | ||||||||||
| 1045 | 2019 | 35857 | City of Cincinnati | Cincinnati | 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 | 2006 | 2008 | 9300000 | 8 | 2012 | 8556000 | 100 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | The City of Cincinnati recognizes that climate plays an important role in the quality of life, economic well-being, and long-term sustainability of our city and region. Cincinnati's first GHG inventory was conducted in 2006 and serves as the baseline from which our climate impact is measured. Our short term target was to reduce GHG emissions by 8% below 2006 levels by 2012 and was achieved. | 301301 | 2017 | {"type"=>"Point", "coordinates"=>[-84.512, 39.1031]} | 2020-05-01T04:02:41.860 | ||||||
| 1046 | 2019 | 35859 | City of Cleveland | Cleveland | 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 | 2010 | 2013 | 12910872 | 40 | 2030 | 7746523.2 | 7.97 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | No | This goal is science-based and designed to be bold, yet achievable. The Cleveland Climate Action Plan includes details on how much each emission reduction activity contributes to the goal. The GHG emission targets were first adopted in 2013, and were re-established in 2018 during the CAP update. | 385428 | 2017 | {"type"=>"Point", "coordinates"=>[-81.6944, 41.4993]} | 2020-05-01T04:02:41.860 | ||||||
| 1047 | 2019 | 54459 | City of Reykjavík | Reykjavík | Iceland | 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 | 2007 | 2009 | 340000 | 35 | 2020 | 0 | Industrial facilities, Other, Public facility, Transport | Do not know | No | 129410 | 2019 | {"type"=>"Point", "coordinates"=>[-21.8174, 64.1265]} | 2020-05-01T04:02:41.860 | ||||||||
| 1048 | 2019 | 31114 | City of Sydney | City of Sydney | Australia | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Local government area within a city / metropolitan area | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2006 | 5815523 | 70 | 2030 | 1744656 | 29 | Commercial buildings, Industrial facilities, Other: Waste plus other scope 3 emissions, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | Baseline emissions were calculated based in GPC Basic+ S3 methodology | 240229 | 2018 | {"type"=>"Point", "coordinates"=>[151.207, -33.8675]} | 2020-05-01T04:02:41.860 | ||||||
| 1049 | 2019 | 59956 | Banda Aceh City Government | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 259913 | 2018 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1050 | 2019 | 54356 | City of Parañaque | Parañaque | Philippines | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | Fixed level target | 714710 | 2018 | {"type"=>"Point", "coordinates"=>[121.02, 14.4793]} | 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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