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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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| 501 | 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 | 80 | 2050 | Metric tonnes of CO2e per capita | 17.7 | 69 | 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 | |||||||
| 502 | 2019 | 50672 | Município de Santarém | Santarém | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 2006 | 337112 | 21 | 2020 | 61752 | 2011 | {"type"=>"Point", "coordinates"=>[-8.68599, 39.2367]} | 2020-05-01T04:02:41.860 | ||||||||||||||
| 503 | 2019 | 840931 | Prefeitura de Cordeirópolis | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | 25000 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 504 | 2019 | 54692 | Prefeitura Municipal de Sertãozinho | Sertãozinho | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 121412 | 2016 | {"type"=>"Point", "coordinates"=>[-47.9947, -21.1451]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 505 | 2019 | 840244 | Prefeitura de Águas da Prata | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 8137 | 2018 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 506 | 2019 | 834413 | Municipality of Tahuamanu | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Other: Uso y cambio de uso | Larger – covers the whole city and adjoining areas | 2016 | 2018 | 40 | 2030 | 1683600 | 10 | Other: Uso y cambio de uso del suelo | Yes - 1.5 °C | Do not know | 2500 | 2013 | 2020-05-01T04:02:41.860 | ||||||||||
| 507 | 2019 | 49339 | City and County of Honolulu | Honolulu | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 992761 | 2016 | {"type"=>"Point", "coordinates"=>[157.59, 21.28]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 508 | 2019 | 826237 | Alcaldia de Madrid | Madrid (Colombia) | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 82118 | 2017 | {"type"=>"Point", "coordinates"=>[-74.2642, 4.73245]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 509 | 2019 | 60898 | Ayuntamiento de Naucalpan de Juárez | Naucalpan de Juárez | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 916796 | 2017 | {"type"=>"Point", "coordinates"=>[-99.2453, 19.4631]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 510 | 2019 | 840425 | Skövde kommun | Skövde | 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 | 2012 | 2050 | 9 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: all sectors, Other: Target includes all but part of the industry that is connected to the EU Emissions trading system., Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | The Swedish national target is 0 CO2 emissions to 2045. But when we choose 2050 for our target year the national target was also 2050, but when it was changed we did not change our target year. | 55729 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||
| 511 | 2019 | 59537 | City of Denton, TX | Denton | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 131097 | 2017 | {"type"=>"Point", "coordinates"=>[-97.1331, 33.2148]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 512 | 2019 | 74575 | Dane County | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 513 | 2019 | 54637 | Alcaldía de Cuenca | Cuenca | Ecuador | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Waste | Same – covers entire city and nothing else | 2017 | 2023 | 156080 | 20 | 2023 | 30000 | 0 | Other | Do not know | Yes | Continuar con el funcionamiento de la Planta de Aprovechamiento de BIOGAS para la generación de electricidad. | 505585 | 2010 | {"type"=>"Point", "coordinates"=>[-79.0048, -2.90841]} | 2020-05-01T04:02:41.860 | ||||||
| 514 | 2019 | 36032 | Ville de Dakar | Dakar | Senegal | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | Stationary energy | Same – covers entire city and nothing else | Commercial buildings, Energy industry, Public facility, Residential buildings | Yes - 1.5 °C | 1252786 | 2013 | {"type"=>"Point", "coordinates"=>[-17.366, 14.7645]} | 2020-05-01T04:02:41.860 | |||||||||||||||
| 515 | 2019 | 60140 | City of Nakuru | Nakuru | Kenya | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Province / County | No target | 2038945 | 2019 | {"type"=>"Point", "coordinates"=>[36.08, -0.30309]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 516 | 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 | 2050 | 100 | Other: All | Do not know | Do not know | 38211 | 2018 | {"type"=>"Point", "coordinates"=>[9.87264, 55.471]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 517 | 2019 | 73759 | Jambi City | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | 591134 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 518 | 2019 | 14874 | City of Portland, OR | Portland, OR | 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 | None. | Larger – covers the whole city and adjoining areas | 1990 | 2007 | 9037646 | 80 | 2050 | 1807529 | 15 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | No | No | Portland's current goal is an 80% reduction in emissions below 1990 levels' by 2050. | 807555 | 2017 | {"type"=>"Point", "coordinates"=>[-122.682, 45.52]} | 2020-05-01T04:02:41.860 | |||||
| 519 | 2019 | 54652 | Prefeitura de Osasco | Osasco | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 676 | 2017 | {"type"=>"Point", "coordinates"=>[23.5328, 46.7919]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 520 | 2019 | 31149 | City of Athens | Athens | Greece | Europe | C40, 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 | 2014 | 2030 | 4537406 | 40 | 2030 | 2722444 | 15.63 | Commercial buildings, Heating and cooling supply, Public facility, Residential buildings, Transport | Yes - 2 °C | Yes | The Municipality’s target is to reduce CO2 emissions by 40% in 2030, while the national target for the same year is 16% (base year 2005). (Source: http://www.europarl.europa.eu/news/en/headlines/society/20180208STO97442/cutting-eu-greenhouse-gas-emissions-national-targets-for-2030 ) | 664046 | 2011 | {"type"=>"Point", "coordinates"=>[23.7275, 37.9838]} | 2020-05-01T04:02:41.860 | |||||
| 521 | 2019 | 69999 | Greifswald | Greifswald | Germany | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Base year emissions (absolute) target | 58043 | 2018 | {"type"=>"Point", "coordinates"=>[12.3923, 54.0865]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 522 | 2019 | 1499 | Ajuntament de Barcelona | Barcelona | Spain | Europe | 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 | 2018 | 4997970 | 45 | 2030 | 2748883 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings | Yes - 1.5 °C | No | The Covenant of Mayors goal sets a 40% reduction in 2030 taking as baseline the year 2005. Barcelona is more ambitious in order to be aligned to the Catalan Climate Change law, that sets a 40% of emission reduction per inhabitant but taking as a baseline 1990.This target tries to accomplish with Global Covenant of Mayors compromise. While working in the Climate Plan, a Catalan law was passed intending to reduce a 50% the emissions, but also sectorial and territorialy reductions are not still set. Our target is by now a mid-term between GCoM and Climate Change law, which is a 45% reduction of emissions per inhabitant. | 1620343 | 2018 | {"type"=>"Point", "coordinates"=>[2.1775, 41.3823]} | 2020-05-01T04:02:41.860 | ||||||
| 523 | 2019 | 841153 | Municipalidad de Bellavista | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Sub-municipal district | No target | 74 | 17 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 524 | 2019 | 50792 | Ville de Monaco | Monaco | Monaco | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | Sovereign city-state | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2013 | 99310 | 30 | 2020 | 69965 | 43 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes, but it exceeds its scale or requirement | 38300 | 2018 | {"type"=>"Point", "coordinates"=>[7.42081, 43.7374]} | 2020-05-01T04:02:41.860 | |||||||
| 525 | 2019 | 35905 | Corporation of Chennai | Chennai | India | South and West Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | Other: The target emission intensity to be reduced by 30% from 2005 levels. | Same – covers entire city and nothing else | Metric tonnes of CO2e per unit GDP | 7900000 | 2019 | {"type"=>"Point", "coordinates"=>[80.2425, 13.0992]} | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 526 | 2019 | 60388 | Municipalidad Provincial de Chiclayo | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 597963 | 219 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 527 | 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 | 10 | 2012 | 17835696 | 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 10% by 2012. | 558397 | 2017 | {"type"=>"Point", "coordinates"=>[-79.8661, 43.25]} | 2020-05-01T04:02:41.860 | ||||||
| 528 | 2019 | 43912 | City of Edmonton | Edmonton | 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 | 2005 | 2015 | 18263000 | 35 | 2035 | 11871000 | 0 | No | No | The City of Edmonton's target is for the total emissions of all included sectors. This recognizes that each sector's individual achievements may vary slightly from this target, but cumulatively they must reach this goal. Canada's NDC is 30% below 2005 by 2030, so the City's target exceeds Canada's NDC. | 980000 | 2018 | {"type"=>"Point", "coordinates"=>[-113.491, 53.5444]} | 2020-05-01T04:02:41.860 | |||||||
| 529 | 2019 | 44077 | Kampala City | Kampala | Uganda | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Waste | Same – covers entire city and nothing else | 2014 | 2030 | 657900 | 22 | 2030 | 1933800 | Other: Waste from waste water, solid and organic waste | Yes - 2 °C | Yes | 1631210 | 2018 | 2020-05-01T04:02:41.860 | |||||||||
| 530 | 2019 | 73663 | Correa | 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 | 19110.01 | 18 | 2030 | 27322.63 | 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 Correa 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 Correa 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 𝐶𝑜𝑟𝑟𝑒𝑎)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014− 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 11,15% en el municipio. Por lo tanto, el factor de ajuste resulta de 0,71. Así, el aumento de emisiones proyectado para Correa será del 42,98%𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝐶𝑜𝑟𝑟𝑒𝑎 2014 − 2030 (%) = 60,87% ∗ 0,71= 42,98% Tomando de base el inventario BÁSICO de Correa del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 27.322,63 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝐶𝑜𝑟𝑟𝑒𝑎 𝑎𝑙 2030 (𝑡𝐶𝑂) = 19110,01 𝑡𝐶𝑂 ∗ 1,4298 = 27.322,63tCO 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, la Comuna de Correa 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, Correa no emitirá más de 22.404,56 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Correa y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 6121 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 531 | 2019 | 1184 | City of Austin | Austin | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Province / County | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 2010 | 2015 | 14500000 | 90 | 2050 | 1450000 | 14 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | No | Our target is net-zero emissions by 2050 and it allows for up to 10% of the baseline emissions (1.45MMT CO2e) to be mitigated by the purchase of carbon offsets | 1227000 | 2017 | {"type"=>"Point", "coordinates"=>[-97.7431, 30.2672]} | 2020-05-01T04:02:41.860 | ||||||
| 532 | 2019 | 36274 | Comune di Bologna | Bologna | Italy | 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 | 2005 | 2012 | 2283548.9 | 21.3 | 2020 | 1799138 | 17.8 | Commercial buildings, Heating and cooling supply, Other: Local production of electricity,, Public facility, Residential buildings, Transport | Yes - 2 °C | Yes | Target uptodated in the 2013 | 390636 | 2018 | {"type"=>"Point", "coordinates"=>[11.3387, 44.4938]} | 2020-05-01T04:02:41.860 | ||||||
| 533 | 2019 | 57616 | City of Lake Forest, IL | Lake Forest | 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 | 2007 | 2015 | 402364 | 20 | 2030 | 321891.8 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Do not know | The City of Lake Forest signed the U.S. Conference of Mayors Climate Protection Agreement in 2015 committing the City to reduce GHG emissions to 7% below 1990 levels by the year 2030. After determining the 2007 baseline emissions of 402,364 tons (Scope 1 + 2 + 3), we estimate the City’s emissions in 1990 to have been approximately 357,000 tons assuming a 0.71% CAGR over the 17-year period. The committed 7% reduction below 1990 levels is therefore a 20% reduction below business-as-usual emissions. The City of Lake Forest’s Green Team will build on this information to evaluate options for achieving these aggressive reductions and to potentially develop a revised target which reflects accomplishments since 2007 and the feasibility of initiatives to further reduce energy usage and emissions by 2020. | 19544 | 2018 | {"type"=>"Point", "coordinates"=>[-87.8406, 42.2586]} | 2020-05-01T04:02:41.860 | |||||||
| 534 | 2019 | 58569 | City of Podgorica | Podgorica | Montenegro | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Transport | Same – covers entire city and nothing else | 2008 | 2011 | 299 | 20 | 2020 | 2002 | 28.43 | Transport | Do not know | Yes | In the transport sector, the implementation of certain measures led to a reduction emissions compared with the based year. The City plans to improve public transport in the upcoming period, it is to expect a positive trend in this field. | 185937 | 2011 | {"type"=>"Point", "coordinates"=>[19.2594, 42.4304]} | 2020-05-01T04:02:41.860 | ||||||
| 535 | 2019 | 59545 | City of Charlottesville, VA | Charlottesville | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent city | Base year emissions (absolute) target | All emissions sources included in city inventory | N/A | Same – covers entire city and nothing else | 2011 | 2019 | 459309 | 45 | 2030 | 252620 | 21 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Waste Water, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | On July 1, 2019, the Council of the City of Charlottesville, Virginia resolved that the City of Charlottesville adopt the goal of 45% reduction in community-wide greenhouse gas emissions by 2030 target from its 2011 inventory year, and the goal of carbon neutrality by 2050.NOTE 1: Data reported in this section reflects the initial interim goal year of 2030. Once achieved, reporting will be adjusted to reflect the carbon neutrality target. | 48117 | 2018 | {"type"=>"Point", "coordinates"=>[-78.4767, 38.0293]} | 2020-05-01T04:02:41.860 | |||||
| 536 | 2019 | 74418 | Town of Breckenridge, CO | Breckenridge | 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 | 2017 | 793077 | 80 | 2050 | 158615 | 0 | Other: All - its a total sector target | Do not know | Yes | State of Colorado goals set in 2019. | 5035 | 2016 | {"type"=>"Point", "coordinates"=>[106.038, 39.4817]} | 2020-05-01T04:02:41.860 | ||||||
| 537 | 2019 | 58569 | City of Podgorica | Podgorica | Montenegro | Europe | 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 | 267 | 20 | 2020 | 2020 | 0 | Commercial buildings, Residential buildings | Do not know | Yes | The CO2 emissions of the building sector in 2017 are higher than in 2008. It can be assumed that one of the reasons is the increased number of newly built objects, so that the measures applied didn’t have the proper effects. This situation will be analyzed. | 185937 | 2011 | {"type"=>"Point", "coordinates"=>[19.2594, 42.4304]} | 2020-05-01T04:02:41.860 | ||||||
| 538 | 2019 | 31155 | City of Buenos Aires | Buenos Aires | Argentina | Latin America | C40, 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 | 2008 | 2015 | 12742478 | 30 | 2030 | 17314751 | 8 | Commercial buildings, Heating and cooling supply, Public facility, Residential buildings, Transport, Water | Se elaboró un escenario tendencial de emisiones (Business as Usual) utilizando como base las proyecciones elaboradas por el gobierno nacional para la elaboración de su NDC (Contribución Determinada a nivel Nacional), publicada en el año 2016. A partir de la reducción de emisiones estimada por las medidas de mitigación planteadas a 2020, se determinó una meta de mitigación a 2020 y 2030. | No | No | La meta de mitigación actual de la Ciudad de Buenos Aires es la establecida en el Plan de Acción frente al Cambio Climático, elaborado en el año 2015. Dicha meta fue elaborada a partir de un escenario Business as Usual construido con información provista por el gobierno nacional, por lo cual dicha meta se encuentra en linea con la NDC de Argentina presentada en el año 2016. Actualmente, la Ciudad de Buenos Aires comenzó el proceso de elaboración de un nuevo plan de acción climática, participando en el Programa de Asistencia Técnica para la Planificación Climática junto a C40, con el objetivo de elaborar un plan de acción climática en línea con el Acuerdo de París. Se espera que este nuevo plan de acción sea publicado en el año 2020, y contenga una meta de mitigación a 2050 que tienda a la neutralidad de carbono, como así también metas intermedias de mitigación mucho más ambiciosas. | 3059122 | 2016 | {"type"=>"Point", "coordinates"=>[-58.3816, -34.6037]} | 2020-05-01T04:02:41.860 | |||||
| 539 | 2019 | 839982 | Sepang Municipal Council | Malaysia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Transport | The goal is for the transport sector of Cyberjaya to reduce its transport related emissions by 40.0% in 2025 based on its baseline transport energy consumption of 2016. | Smaller – covers only part of the city | 2016 | 2025 | 69871 | 40 | 2025 | 41923.56 | 1 | Transport | Do not know | Yes | The emission reduction is projected from the proposed action plans that emphasize on promoting smart and integrated mobility as well as encouraging cycling and walkability elements. As shown in the table above, changes in the modal split that reduces dependency on private vehicles have resulted in a significant decrease in CO2 emissions. In addition, promotion on other green mobility like walking and cycling further reduces the amount of CO2 emission from the Transport Sector. | 207354 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 540 | 2019 | 834278 | Municipality of Resistencia | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | 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 | 813428.67 | 18 | 2030 | 1147358.44 | 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 Resistencia donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Como se mostró en el punto 3.1.1.6, éste nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+. Para correlacionar el escenario Business as Usual nacional con el de Resistencia 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 Resistencia)/(variación población 2014-2030 Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 10,65% en el municipio. Por lo tanto, el factor de ajuste resulta de 0,6744. Así, el aumento de emisiones proyectado para Resistencia será del 41,05%.Aumento de emisiones Resistencia 2014-2030(%)=60,87%*0,6744=41,05%Tomando de base el inventario BÁSICO de Resistencia del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 1.147.358,44tCO2e.Emisiones Resistencia al 2030 (tCO2e)=813428,67tCO2e*1,4105=1147358,44tCO2eTomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo indicado en el Pacto de Alcaldes por el Clima y la Energía, se establece una reducción mínima de emisiones en la ciudad de Resistencia del 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. | Do not know | No | Se espera que la reducción de emisiones propuesta por Resistencia y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 299123 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 541 | 2019 | 35880 | Municipality of Porto Alegre | Porto Alegre | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[51, 30]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 542 | 2019 | 74488 | City of Beverly, MA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 41648 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 543 | 2019 | 73759 | Jambi City | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 591134 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 544 | 2019 | 60318 | Prefeitura de Porto Velho | Porto Velho | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 428527 | 2010 | {"type"=>"Point", "coordinates"=>[-40.3776, -20.3338]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 545 | 2019 | 69848 | Municipio de Loja | Loja | Ecuador | 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 | No difiere. | Same – covers entire city and nothing else | 2015 | 2016 | 4238 | 24 | 2040 | 3854936 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Residential buildings, Transport, Water | El objetivo principal es establecer determinar la Huella Hidria y de Carbono de la ciudad de Loja, Contribuir a la reducción de las emisiones de GEI de los sectores con mayor aporte a la Huella de Carbono de Loja (transporte, residencial/comercial, residuos sólidos, industrial), priorizando la movilidad sustentable, proyectando cambios en la política de energía urbana y promoviendo la eficiencia energética. Esto atraves de la Metodologia GPC global protocol for community-scale Greenhouse gas emissiones | Yes - 1.5 °C | No | Emisiones acumuladas al año 2040. Aun no se hizo el seguimiento al cumplimiento de los proyectos considerados | 214855 | 2010 | {"type"=>"Point", "coordinates"=>[-3.99313, -79.2042]} | 2020-05-01T04:02:41.860 | ||||
| 546 | 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 | Energy | Same – covers entire city and nothing else | 2013 | 2020 | 25600000 | 13.22 | 2020 | 26850000 | 96.13 | Other: Public sector (electrical consumption of BMA building etc.) | Do not know | 5676648 | 2018 | {"type"=>"Point", "coordinates"=>[100.556, 13.7712]} | 2020-05-01T04:02:41.860 | ||||||||
| 547 | 2019 | 73252 | Pemba Municipality | Pemba | Mozambique | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | No target | 221316 | 2017 | {"type"=>"Point", "coordinates"=>[40.5178, -12.9732]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 548 | 2019 | 839667 | Municipio de Guanagazapa | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 20083 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 549 | 2019 | 31052 | City of Cardiff | Cardiff | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Other | Same – covers entire city and nothing else | 2005 | 2682000 | 26 | 2020 | 38 | Other | Do not know | Do not know | This 26% reduction target is for per capita emissions (NB Cardiff is the UKs fastest growing city). The per capita carbon emissions were 8.4 tonnes in 2005 and are 4.6 in 2017, demonstrating a 45% reduction in per capita emissions. (The reduction in absolute emissions from 2005 to 2017 is 38%) | 365000 | 2018 | {"type"=>"Point", "coordinates"=>[-3.17909, 51.4816]} | 2020-05-01T04:02:41.860 | ||||||||
| 550 | 2019 | 60236 | Municipality of Trelleborg | Trelleborg | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Fixed level target | Transport | Larger – covers the whole city and adjoining areas | 2015 | 2020 | 45000 | Transport | No | Car usage in the Municipality of Trelleborg is around 67 %, and the target goal is 44 % until 2020. In 2018 the car usage where 68 %. The trend is going the opposite direction. | 44854 | 2018 | {"type"=>"Point", "coordinates"=>[13.1569, 55.3751]} | 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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