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2018 - 2019 City-wide Emissions Reduction Targets
| Row number | Year Reported to CDP | Account Number | Organization | City | Country | CDP region | Reporting authority | Access | City boundary | Type of target | Sector | Identify and explain sources that differ from the inventory | Target boundary relative to city boundary | Base year | Year of target implementation | Base year emissions (metric tonnes CO2e) | Percentage reduction target | Target year | Target year absolute emissions (metric tonnes CO2e) | Projected population in target year | Intensity unit (emissions per) | Base year emissions per intensity unit (metric tonnes CO2e per denominator) | Estimated business as usual absolute emissions in target year (metric tonnes CO2e) | Percentage of target achieved so far | Indicate which sector(s) the target applies | Description of the target and the modelling methodology(ies) and parameters used to define it | Does this target align with the global 1.5 - 2°C pathway set out in the Paris agreement? | Does this target align to a requirement from a higher level of (sub-national) government? | Target description | Population | Population year | City Location | Last update |
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| 901 | 2019 | 20113 | City of Vancouver | Vancouver | Canada | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2011 | 2019 | 2765000 | 100 | 2050 | 0 | 12 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Landfill fugitive emissions, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | Target was set as part of Climate Emergency Response, the City's plan to remain on an IPCC-recommended emissions pathway for 1.5'C. | 642686 | 2018 | {"type"=>"Point", "coordinates"=>[-123.114, 49.2612]} | 2020-05-01T04:02:41.860 | ||||||
| 902 | 2019 | 58357 | City of West Hollywood | West Hollywood | 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 | 2008 | 2011 | 583213 | 25 | 2035 | 17 | Commercial buildings, Energy industry, Public facility, Residential buildings, Transport, Water | No | No | The target is 20-25% over 2008 levels. The City will update this goal to reflect California law when it updates the CAP in 2019. | 34399 | 2010 | {"type"=>"Point", "coordinates"=>[-118.362, 34.09]} | 2020-05-01T04:02:41.860 | |||||||
| 903 | 2019 | 74631 | Lubumbashi | Lubumbashi | Congo | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 5652000 | 2016 | {"type"=>"Point", "coordinates"=>[-27, 11]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 904 | 2018 | 60599 | Town of Bridgewater, NS | Bridgewater | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2011 | 385000 | 81 | 2050 | 0 | 8532 | 2016 | {"type"=>"Point", "coordinates"=>[-64.5188, 44.3786]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 905 | 2018 | 55418 | City of Huntington Beach | Huntington Beach | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2020 | 53.33 | 2040 | 202498 | 2016 | {"type"=>"Point", "coordinates"=>[-117.999, 33.6603]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 906 | 2019 | 74678 | City of Galati | Romania | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 303000 | 2018 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 907 | 2019 | 57509 | Prefeitura Niterói | Niterói | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 511786 | 2018 | {"type"=>"Point", "coordinates"=>[-43.1184, -22.8928]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 908 | 2019 | 58485 | Abington Township | Abington | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 55310 | 2010 | {"type"=>"Point", "coordinates"=>[-75.1195, 40.1241]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 909 | 2019 | 54518 | City of Helsingborg | Helsingborg | 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 | 2018 | 1042000 | 100 | 2035 | 0 | 48 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | Net emissions of greenhouse gases should be zero 2035. The direct emissions should decrease with at least 85 % procent in comparison with 1990. To reach carbon neutrality, alternative measures are allowed for the final 15 procent of emission reduction, such as measures that increase the uptake of carbon from the atmosphere and climate projects outside of the municipality boundary. The target on national level is carbon neutrality 2045.The target is in line with the Paris agreement, but the emissions need to decrease faster in the beginning of the time period towards 2035, otherwise we will exceed our total carbon budget. | 145415 | 2018 | 2020-05-01T04:02:41.860 | |||||||
| 910 | 2019 | 73715 | Cosquín | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 911 | 2018 | 58569 | City of Podgorica | Podgorica | Montenegro | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Transportation | 2008 | 299 | 20 | 2020 | 28.43 | 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]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 912 | 2019 | 59681 | Town of East Hampton, NY | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Local government area within a city / metropolitan area | No target | 21457 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 913 | 2019 | 73650 | Armstrong | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 914 | 2019 | 54641 | Prefeitura de Limeira | Limeira | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 276022 | 2010 | {"type"=>"Point", "coordinates"=>[-47.3974, -22.5665]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 915 | 2019 | 36522 | Comune di Verbania | Verbania | 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 | 2010 | 2015 | 151401 | 20 | 2020 | 121089 | 9.2 | Yes - 2 °C | 30487 | 2018 | {"type"=>"Point", "coordinates"=>[8.55537, 45.9283]} | 2020-05-01T04:02:41.860 | |||||||||
| 916 | 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 | 21.18 | 2037 | 7416236 | 1637834 | 2018 | {"type"=>"Point", "coordinates"=>[-34.8829, -8.05783]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 917 | 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 | เนื่องจากป่าตองถูกส่งเสริมให้เป็นเมืองท่องเที่ยวหลักของประเทศไทย จึงเป็นการยากที่จะควบคุมกิจกรรมในเมืองให้สามารถลดการปล่อยก๊าซเรือนกระจกให้ได้ถึง 20% เท่ากับที่ประเทศไทยได้กำหนดไว้ใน NDC | 20029 | 2019 | 2020-05-01T04:02:41.860 | ||||||||
| 918 | 2019 | 54491 | Municipality of Málaga | Málaga | Spain | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 572000 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 919 | 2019 | 834287 | Municipality of Terra Nova do Norte | 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 | Same – covers entire city and nothing else | 2018 | 2050 | 1391000 | 100 | 2050 | 1135104 | 1 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: AFOLU, Public facility, Residential buildings, Transport, Water | we used ghg inventory with historical sequence for each line within it to determine index for future projections. | Yes - 2 °C | Yes | yes, all the city is targeting align with Brazilian`s NDC and at AFOLU TNN is more ambitious | 10500 | 2018 | 2020-05-01T04:02:41.860 | |||||||
| 920 | 2019 | 54409 | City of Espoo | Espoo | 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 | 2017 | 0 | 2030 | Do not know | In 2017, the city of Espoo committed to be carbon neutral by 2030. Currently, the Climate plan 2016-2020 defines carbon neutrality as a state where produced carbon emissions do not surpass the capacity of carbon sinks, such as soil or vegetation (page 4, The Climate Plan 2016-2020, see section 8.2a). At this moment, the base year for emissions and reduction percentage target are not clearly defined. In the future, the current Climate Action Plan will be updated to match the 2030 goal. | 283632 | 2018 | {"type"=>"Point", "coordinates"=>[24.6559, 60.2055]} | 2020-05-01T04:02:41.860 | |||||||||||
| 921 | 2019 | 69822 | Kristianstad | 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 | 2018 | 619057 | 85 | 2045 | 92859 | 41 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Yes | "Percentage of target achieved so far"-number relates to year 2016 | 84908 | 2018 | 2020-05-01T04:02:41.860 | ||||||||
| 922 | 2019 | 50782 | Dhaka City | Dhaka | Bangladesh | South and West Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | 6000000 | 2019 | {"type"=>"Point", "coordinates"=>[90.4125, 23.8103]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 923 | 2018 | 60433 | City of Hvidovre | Hvidovre | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[12.4754, 55.6425]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 924 | 2019 | 36254 | Comune di Venezia | Venezia | Italy | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2005 | 2012 | 512859 | 17.3 | 2020 | 81.7 | Do not know | energy efficiency measures for energy saving in commercial buildings and installations | 260520 | 2018 | {"type"=>"Point", "coordinates"=>[12.3211, 45.4333]} | 2020-05-01T04:02:41.860 | |||||||||
| 925 | 2019 | 35853 | City of Baltimore | Baltimore | 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 | 2007 | 2019 | 9226075 | 25 | 2020 | 6919556 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Yes | Key findings by sector provide guidance for where strategies can perhaps slow future emissions growth.• GHG emissions from the energy sector are anticipatedto increase slightly from 79.5 percent (2010) to 79.9percent (2020).• The transportation-related emissions are anticipatedto decrease from 15.6 percent (2010) to 15.2 percent(2020).• The waste-related emissions are anticipated to remainunchanged at 2.8 percent.• Wastewater treatment GHG emissions are expected toremain unchanged at 1.5 percent.• GHG emissions from the water sector are anticipatedto remain unchanged at 0.7 percent.All GHG emissions have been calculated and presented inmetric tons of carbon dioxide equivalent emissions per year(MT CO2e/yr). | 602495 | 2018 | {"type"=>"Point", "coordinates"=>[-76.6122, 39.2904]} | 2020-05-01T04:02:41.860 | ||||||
| 926 | 2019 | 54457 | Hansestadt Rostock | Rostock | Germany | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Baseline scenario (business as usual) target | 209000 | 2019 | {"type"=>"Point", "coordinates"=>[12.1405, 54.0887]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 927 | 2019 | 59697 | City of Lake Worth, FL | Lake Worth | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | 36000 | 2017 | {"type"=>"Point", "coordinates"=>[-80.0684, 26.6168]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 928 | 2018 | 63941 | Broward County, FL | Broward | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | County | Absolute target | Total city-wide emissions | 2010 | 22177409 | 10 | 2020 | 0 | 2014 Total: 25,207,287.Will update with 2017 total when available. | 1870000 | 2014 | {"type"=>"Point", "coordinates"=>[80.3659, 26.1901]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 929 | 2019 | 60416 | Municipalidad de San Isidro (Argentina) | San Isidro (Argentina) | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 293 | 2010 | {"type"=>"Point", "coordinates"=>[-68.8122, -32.9775]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 930 | 2019 | 35903 | Le Grand Casablanca | Casablanca | Morocco | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | No target | 3360000 | 2014 | {"type"=>"Point", "coordinates"=>[-7.56806, 33.5206]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 931 | 2019 | 50359 | Gobierno Municipal de León de los Aldamas | León de los Aldamas | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | En la ciudad de León Guanajuato, considerada entre las diez ciudades con mayor población del país, disponer de un Inventario actualizado de Emisiones de Gases de Efecto Invernadero, permitirá la identificación de las actividades específicas hacia donde se requiere enfocar los esfuerzos de mitigación, y también el establecimiento de indicadores y metas para monitorear el progreso de su cumplimiento dentro de su programa de cambio climático, es por ello que es necesario agregar las fuentes IPUU y AFOLUAdiciones: Procesos industriales y uso de productos (IPUU)Agricultura, silvicultura y otros usos de suelo (AFOLU). | Same – covers entire city and nothing else | 2013 | 2016 | 5012133 | 20 | 2020 | 2651530 | 53 | Commercial buildings, Energy industry, Industrial facilities, Residential buildings, Transport | Yes - 2 °C | Yes, but it exceeds its scale or requirement | Meta global de mitigación definida en el programa municipal de cambio climático. | 1578626 | 2015 | {"type"=>"Point", "coordinates"=>[-101.684, 21.1221]} | 2020-05-01T04:02:41.860 | |||||
| 932 | 2019 | 841326 | Municipalidad de Oro Verde | 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 | 2016 | 2019 | 17938.61 | 18 | 2030 | 26087 | 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 Oro Verde 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 Oro Verde, 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 2016-2030 a nivel nacional y local.El INDEC estima que durante este tiempo la población argentina aumentará un 13,64% y un 11,63% en el municipio. Por lo tanto, el factor de ajuste resulta de 0,85. Así, el aumento de emisiones proyectado para Oro Verde será del 45,42%.Tomando de base el inventario BÁSICO de Oro Verde del 2016, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 26.087,01 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, Oro Verde se fija la meta de 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, Oro Verde no emitirá más de 21.391,35 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Oro Verde y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 6221 | 2016 | 2020-05-01T04:02:41.860 | |||||||
| 933 | 2019 | 36285 | Comune di Firenze | Firenze | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 2005 | 2519980 | 40 | 2030 | adopted in 2015 with SCP | 378839 | 2019 | {"type"=>"Point", "coordinates"=>[11.2558, 43.7696]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 934 | 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 | Other: Agricultura, floresta e uso da terra (AFOLU) | Same – covers entire city and nothing else | 2016 | 2020 | 50559.6 | 47.2 | 2060 | 26695.47 | 0 | Other: Rebanhos, emissões agregadas e outras de não-CO2 | 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 | ||||||
| 935 | 2018 | 8242 | City of Helsinki | Helsinki | Finland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Intensity target | Other | 644700 | 2017 | {"type"=>"Point", "coordinates"=>[24.941, 60.1733]} | 2020-05-01T04:02:29.947 | ||||||||||||||||||
| 936 | 2019 | 58511 | City of Richmond, CA | Richmond, CA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 1990 | 589412 | 80 | 2050 | 117882 | Yes | 110146 | 2018 | {"type"=>"Point", "coordinates"=>[-122.348, 37.9358]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 937 | 2018 | 31109 | City of Melbourne | City of Melbourne | Australia | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Local government area within a city / metropolitan area | Absolute target | Total city-wide emissions | 2010 | 4848127 | 100 | 2020 | 3.6 | We have a Zero Net Emissions Strategy for the municipality. Emissions have declined slightly while the number of residents has increased36% and daily city users has increased 15.4% | 151176 | 2017 | {"type"=>"Point", "coordinates"=>[144.963, -37.8141]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 938 | 2018 | 60267 | Prefeitura de Guarujá | Guarujá | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-46.2569, -23.9946]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 939 | 2019 | 64014 | City of Cupertino | Cupertino | 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 | Base year emissions for 2010 were calculated at 307,288 MT CO2e in our original Climate Action Plan. The base year emissions figure below reflects our recalculated base emissions (the 2010 inventory was recalculated as part of our 2015 re-inventory process to align our inventory to GPC Protocol and IPCC 5th AR). The 87% reported for "Percentage of target achieved so far" is based on our community wide emissions in 2015, 294,281 MTCO2e . | Same – covers entire city and nothing else | 2010 | 2015 | 338673 | 15 | 2020 | 287872 | 87 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Yes | California Executive Order S-3-05 established a long-range GHG reduction target of 80% below 1990 levels by 2050. AB 32, the California Global Warming Solutions Act of 2006, required California to reduce statewide GHG emissions to 1990 levels by 2020. AB 32 also directed the Air Resources Board (ARB) to develop and implement regulations that reduce statewide GHG emissions. Many local governments do not have access to sufficient historical data to prepare a 1990 baseline emissions inventory, which would allow local governments to establish reduction targets that exactly mimic the state’s own targets. In its 2008 Scoping Plan, the ARB “encourages local governments to adopt a reduction goal for municipal operations emissions and move toward establishing similar goals for community emissions that parallel the state’s commitment to reduce greenhouse gas emissions by approximately 15 percent from current levels by 2020.” Based on this language, many community-wide CAPs have selected a reduction target of 15% below baseline levels by 2020 to parallel the state’s target. Considering guidance from the Governor's Office of Planning and Research and the Bay Area Air Quality Management District at the time of CAP document preparation, Cupertino selected a reduction target of 15% below 2010 baseline levels by 2020 as a proxy for a return to 1990 levels. | 60170 | 2018 | {"type"=>"Point", "coordinates"=>[-122.032, 37.323]} | 2020-05-01T04:02:41.860 | |||||
| 940 | 2019 | 54066 | City of Fort Collins | Fort Collins | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2472391 | 100 | 2050 | 0 | 70 | Commercial buildings, Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | 170100 | 2018 | {"type"=>"Point", "coordinates"=>[-105.084, 40.5853]} | 2020-05-01T04:02:41.860 | ||||||||
| 941 | 2018 | 50392 | Prefeitura de Vitória | Vitória | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-40.3776, -20.3338]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 942 | 2019 | 50579 | City of Winnipeg | Winnipeg | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Waste | Includes waste, water and wastewater. | Same – covers entire city and nothing else | 2011 | 2018 | 845460 | 11 | 2030 | 610000 | Other: waste | Yes - 2 °C | Do not know | To support an 11% reduction in city emissions relative to a 2011 baseline, it is envisioned that the following waste reduction outcomes are achieved:- 75% residential waste diversion and an 80% diversion rate for commercial/industrial and construction and demolition waste- 70% of all biosolids are diverted for commercial use- The Brady Resource Recovery Centre’s landfill gas collection system will be expanded over time andits methane collection efficiency will improve to 75% | 691800 | 2011 | {"type"=>"Point", "coordinates"=>[-97.1375, 49.8997]} | 2020-05-01T04:02:41.860 | ||||||
| 943 | 2019 | 36032 | Ville de Dakar | Dakar | Senegal | Africa | 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 | 2016 | 2050 | Commercial buildings, Energy industry, Residential buildings, Transport | Yes - 1.5 °C | La Ville de Dakar s'aligne parfaitement aux dispositions et engagements pris par l'État du Sénégal dans le cadre des CDN avec comme année cible 2035. | 1252786 | 2013 | {"type"=>"Point", "coordinates"=>[-17.366, 14.7645]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 944 | 2019 | 54386 | Tainan City Government | Tainan | 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 | Same – covers entire city and nothing else | 2005 | 19510422 | 2 | 2020 | 19120213.56 | 0 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport | Yes - 2 °C | Yes | 1883831 | 2018 | {"type"=>"Point", "coordinates"=>[120.227, 22.9999]} | 2020-05-01T04:02:41.860 | ||||||||
| 945 | 2019 | 37261 | City of Pietermaritzburg | Pietermaritzburg | South Africa | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 618536 | 2011 | {"type"=>"Point", "coordinates"=>[30.3794, -29.6006]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 946 | 2018 | 54075 | City of Lakewood | Lakewood | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2007 | 2646240 | 20 | 2025 | 2.3 | This baseline and target was calculated using a hybrid demand-center life cycle assessment methodology and does not align with GPC standards | 154368 | 2016 | {"type"=>"Point", "coordinates"=>[-105.081, 39.7047]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 947 | 2018 | 58671 | Helsingør Kommune / Elsinore Municipality | Helsingør | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2008 | 415000 | 20 | 2020 | 100 | As a signatory of Covenant of Mayors (now Global Covenant of Mayors), Elsinore Municipality made a SEAP and committed itself to reduce the CO2eq emissions by at least 20 by 2020. | 62686 | 2017 | {"type"=>"Point", "coordinates"=>[12.5921, 56.0308]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 948 | 2018 | 60371 | Alcaldía de Leticia | Leticia | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-69.9406, -4.21528]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 949 | 2019 | 31090 | District of Columbia | Washington, DC | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Federal district | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2006 | 2016 | 10535018 | 100 | 2050 | 0 | 30 | Commercial buildings, Energy industry, Heating and cooling supply, Other: Includes energy supply (no significant energy generation in city) and scope 3 emissions from waste disposal outside boundary. We have no heavy industry in the city and so that is not occurring/not included., Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | In December 2017, Mayor Bowser increased this goal to carbon neutrality by committing to C40's Deadline 2020 initiative, up from 80% reduction by 2050 | 702455 | 2018 | {"type"=>"Point", "coordinates"=>[-77.0369, 38.9072]} | 2020-05-01T04:02:41.860 | ||||||
| 950 | 2019 | 54662 | Prefeitura do Município de Maringá | Maringá | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 417010 | 2018 | {"type"=>"Point", "coordinates"=>[-51.9383, -23.4257]} | 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.
Please note that the 2018 data on city-wide emissions reduction targets is still in the process of being updated. If you have any questions, please contact cities@cdp.net.
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