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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | 2018 | 58395 | Bærum Kommune | Bærum | Norway | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2009 | 237628 | 40 | 2030 | 7 | 125708 | 2017 | {"type"=>"Point", "coordinates"=>[10.5938, 59.9205]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 752 | 2019 | 54100 | City of Columbia, MO | Columbia, MO | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2018 | 2060 | 232207 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | 118565 | 2015 | {"type"=>"Point", "coordinates"=>[-92.3341, 38.9517]} | 2020-05-01T04:02:41.860 | |||||||||||
| 753 | 2018 | 31113 | City of Yokohama | Yokohama | Japan | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Other | 2005 | 4390000 | 21 | 2020 | 81 | Residential | 3731096 | 2017 | {"type"=>"Point", "coordinates"=>[139.638, 35.4437]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 754 | 2019 | 69822 | Kristianstad | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Transport | Target excludes aviation | Same – covers entire city and nothing else | 2010 | 2018 | 168852 | 70 | 2030 | 50656 | 24 | Transport | Do not know | Yes | "Percentage of target achieved so far"-number relates to year 2016 | 84908 | 2018 | 2020-05-01T04:02:41.860 | |||||||
| 755 | 2019 | 834403 | Municipality of San Martín de los Andes | 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 | 235696.09 | 18 | 2030 | 486354.76 | 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 San Martín de los Andes 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 San Martín de los Andes 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 𝑆𝑎𝑛 𝑀𝑎𝑟𝑡í𝑛 𝑑𝑒 𝑙𝑜𝑠 𝐴𝑛𝑑𝑒𝑠)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 27,59% en el municipio. Por lo tanto, el factor de ajuste resulta de 1,7471. Así, el aumento de emisiones proyectado para San Martín de los Andes será del 106,35%. 𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝑆𝑎𝑛 𝑀𝑎𝑟𝑡í𝑛 𝑑𝑒 𝑙𝑜𝑠 𝐴𝑛𝑑𝑒𝑠 2014 − 2030 (%) = 60,87% ∗ 1,7471= 106,35%Tomando de base el inventario BÁSICO de San Martín de los Andes del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 486.354,76 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑆𝑎𝑛 𝑀𝑎𝑟𝑡í𝑛 𝑑𝑒 𝑙𝑜𝑠 𝐴𝑛𝑑𝑒𝑠 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒) = 235.696,09 𝑡𝐶𝑂2𝑒 ∗ (1 + 1,7471) = 486.354,76 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, San Martín de los Andes 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, San Martín de los Andes no emitirá más de 398.810,90 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por San Martín de los Andes y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 29472 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 756 | 2019 | 73763 | San Carlos City | Philippines | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Waste | Same – covers entire city and nothing else | 2016 | 2017 | 58.9 | 5 | 2020 | 55.95 | 61 | Other: Composting and alternative technology to reduce waste, Public facility | Yes - 1.5 °C | Yes | Reduce 5% of Greenhouse gas emission in the waste sector through implementation of No Plastic Policy. and different programs to reduce waste generation. | 132536 | 2015 | 2020-05-01T04:02:41.860 | ||||||||
| 757 | 2019 | 832909 | Município de Coruche | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | Other: Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 2007 | 2012 | 35583 | 34 | 2020 | 23485 | Do not know | Yes, but it exceeds its scale or requirement | At the date of elaboration of the Sustainable Energy Action Plan, the target adopted was 20% reduction. This target is national and in line with the National Energy Efficiency Action Plan. | 18126 | 2017 | 2020-05-01T04:02:41.860 | ||||||||||
| 758 | 2019 | 50544 | City of Aurora, IL | Aurora | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | 200965 | 2017 | {"type"=>"Point", "coordinates"=>[41.7606, 88.3201]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 759 | 2019 | 74423 | City of Key West, FL | Key West | 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 | 2005 | 2009 | 400000 | 15 | 2015 | Haven't done 2015 inventory yet | 24565 | 2018 | {"type"=>"Point", "coordinates"=>[24.5551, 81.78]} | 2020-05-01T04:02:41.860 | |||||||||||
| 760 | 2019 | 54703 | Prefeitura Municipal de Mairiporã | Mairiporã | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 98374 | 2018 | {"type"=>"Point", "coordinates"=>[-46.5885, -23.318]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 761 | 2019 | 60229 | Municipality of Arendal | Arendal | Norway | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1991 | 2015 | 78 | 2040 | 0 | Metric tonnes of CO2e per capita | 5 | 32 | Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Yes | 44785 | 2018 | {"type"=>"Point", "coordinates"=>[8.77245, 58.4618]} | 2020-05-01T04:02:41.860 | ||||||
| 762 | 2019 | 54085 | City of Savannah | Savannah | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 145674 | 2015 | {"type"=>"Point", "coordinates"=>[-81.0998, 32.0835]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 763 | 2018 | 31186 | Changwon City | Changwon | Republic of Korea | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[126.949, 35.1542]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 764 | 2018 | 60233 | Pärnu City Government | Pärnu | Estonia | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | {"type"=>"Point", "coordinates"=>[24.4966, 58.3858]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 765 | 2018 | 56276 | New Taipei City Government | New Taipei | Taiwan, Greater China | East Asia | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Transportation | 2005 | 4807477 | 25 | 2030 | 3986689 | 2017 | {"type"=>"Point", "coordinates"=>[121.446, 25.0111]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 766 | 2019 | 31111 | Tokyo Metropolitan Government | Tokyo | Japan | East Asia | 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 | 2000 | 2016 | 62100000 | 30 | 2030 | 43700000 | 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 | 30% reduction of GHG emissions compared to 2000 levels (More ambitious than the national government's target) | 13857443 | 2019 | {"type"=>"Point", "coordinates"=>[139.41, 35.41]} | 2020-05-01T04:02:41.860 | |||||||
| 767 | 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 | Larger – covers the whole city and adjoining areas | 2018 | 2040 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | The politically agreed upon target is a fossil-free municipality by 2040. | 48130 | 2018 | {"type"=>"Point", "coordinates"=>[17.7234, 59.6191]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 768 | 2018 | 50220 | Métropole Nice Côte d'Azur | Nice | France | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[7.26195, 43.7102]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 769 | 2019 | 74414 | Boulder County | Boulder County | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Province / County | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 5067000 | 45 | 2030 | 2761680 | No | 322226 | 2016 | {"type"=>"Point", "coordinates"=>[-105.5, 40.15]} | 2020-05-01T04:02:41.860 | |||||||||||
| 770 | 2019 | 58531 | City of Somerville, MA | Somerville | 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 | 2014 | 2014 | 651426 | 100 | 2050 | 0 | 5 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | Somerville has set a target to be carbon neutral by 2050. Somerville has defined carbon neutrality as net zero carbon emissions, which means eliminating all possible GHG emissions and offsetting any remaining emissions. | 81562 | 2018 | {"type"=>"Point", "coordinates"=>[-71.0826, 42.3934]} | 2020-05-01T04:02:41.860 | ||||||
| 771 | 2018 | 31113 | City of Yokohama | Yokohama | Japan | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Other | 2005 | 2950000 | 8 | 2020 | Industries | 3731096 | 2017 | {"type"=>"Point", "coordinates"=>[139.638, 35.4437]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 772 | 2018 | 58590 | City of Easton, PA | Easton | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2016 | 350900 | 80 | 2050 | 3 | The City of Easton purchases 100% of renewable energy from Met-Ed for electricity amounting to roughly 3% of total emissions. | 26996 | 2017 | {"type"=>"Point", "coordinates"=>[-75.2207, 40.6884]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 773 | 2019 | 74680 | City of Iasi | Iasi | Romania | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Same – covers entire city and nothing else | 2012 | 2012 | 86771 | 30 | 2030 | 2030 | 0 | Commercial buildings, Public facility, Residential buildings, Transport | Do not know | Do not know | The target of the municipality is to reduce ghg city wide emissions by up to 40% by 2030 | {"type"=>"Point", "coordinates"=>[27.35, 47.1]} | 2020-05-01T04:02:41.860 | |||||||||
| 774 | 2018 | 64014 | City of Cupertino | Cupertino | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2010 | 307288 | 15 | 2020 | In light of more current guidance from OPR or BAAQMD at the time of document preparation, Cupertino has selected a reduction target of 15% below 2010 baseline levels by 2020 as a proxy for a return to 1990 levels. | 60777 | 2017 | {"type"=>"Point", "coordinates"=>[-122.032, 37.323]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 775 | 2019 | 60393 | Municipalidad de Santiago | Santiago | Chile | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 404495 | 2017 | {"type"=>"Point", "coordinates"=>[-70.6693, -33.4489]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 776 | 2018 | 50553 | City of Fresno | Fresno | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 27.2 | 2020 | Please see attachment | 527438 | 2017 | {"type"=>"Point", "coordinates"=>[-119.773, 36.7468]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 777 | 2019 | 54683 | Prefeitura Municipal de Franco da Rocha | Franco da Rocha | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 131 | 2010 | {"type"=>"Point", "coordinates"=>[-46.732, -23.3094]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 778 | 2019 | 54360 | Shah Alam City Council | Malaysia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Waste | Smaller – covers only part of the city | 2015 | 2030 | 917.11 | 6 | 2030 | 24.83 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings | Do not know | Yes | 669894 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||
| 779 | 2018 | 31164 | Ho Chi Minh City | Ho Chi Minh | Viet Nam | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[106.66, 10.7626]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 780 | 2019 | 840313 | Municipalidad Cerro Navia | Chile | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 132622 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 781 | 2019 | 36491 | Comune di Pesaro | Pesaro | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | 94969 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 782 | 2019 | 55331 | Município de Ílhavo | Ílhavo | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Other: Iluminação pública | 2008 | 2008 | 706 | 2.47 | 2020 | 38598 | 2017 | {"type"=>"Point", "coordinates"=>[-7.58, 38.85]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 783 | 2019 | 54075 | City of Lakewood | Lakewood | 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 | 2447746 | 20 | 2025 | 1958197 | 12 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | No | No | This baseline and target includes BASIC emissions, plus a few consumption-based emission categories (food purchases, cement, and water supply). | 155000 | 2018 | {"type"=>"Point", "coordinates"=>[-105.081, 39.7047]} | 2020-05-01T04:02:41.860 | ||||||
| 784 | 2018 | 35859 | City of Cleveland | Cleveland | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2010 | 12834200 | 16 | 2020 | 3 | This goal is science-based and designed to be bold, yet achievable.The Climate Action Plan includes details on how much each emission reduction activity contributes to the goal. | 396815 | 2010 | {"type"=>"Point", "coordinates"=>[-81.6944, 41.4993]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 785 | 2019 | 834259 | Municipality of Lobos | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 786 | 2018 | 14088 | City of Oslo | Oslo | Norway | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 1200000 | 95 | 2030 | 6.5 | The target acievement is calculated wit 2016-statistics. | 673469 | 2017 | {"type"=>"Point", "coordinates"=>[10.7522, 59.9139]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 787 | 2018 | 55331 | Município de Ílhavo | Ílhavo | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Other: Produção eléctrica local | 2008 | 687 | 2.4 | 2020 | 38598 | 2017 | {"type"=>"Point", "coordinates"=>[-7.58, 38.85]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 788 | 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 | Total city-wide emissions | 1990 | 3514000 | 80 | 2035 | 24 % is the current reduction rate, not the percentage of the target achieved | 644700 | 2017 | {"type"=>"Point", "coordinates"=>[24.941, 60.1733]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 789 | 2018 | 35880 | Municipality of Porto Alegre | Porto Alegre | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[51, 30]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 790 | 2019 | 59956 | Banda Aceh City Government | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Transport | Same – covers entire city and nothing else | 2010 | 2020 | 208775 | 30.77 | 2020 | 377787 | 12 | Transport | IPCC 2006, calculating emission from fuel combustion, The BaU is predicted by using the trend line | Yes - 1.5 °C | Yes | Banda Aceh City Target 32.85%. National 26%. | 259913 | 2018 | 2020-05-01T04:02:41.860 | |||||||
| 791 | 2019 | 35898 | Greater Manchester | Manchester | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2019 | 21200000 | 97.3 | 2038 | 570000 | 42.5 | 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 | The target, set in Greater Manchester’s 5 Year Environment Plan, is based on research carried out by the Tyndall Centre, Manchester. This research proposed a target, adopted as above in Greater Manchester, that is compliant with the Paris Agreement to “hold the increase in global average temperature to well below 2°C above pre-industrial levels and pursue efforts to limit the temperature increase to 1.5°C”. This sets a long term carbon budget, a sequence of 5-year carbon budgets and a date of effective carbon neutrality, all adopted in Greater Manchester’s 5-Year Environment Plan. | 2812569 | 2018 | {"type"=>"Point", "coordinates"=>[-2.15783, 53.4576]} | 2020-05-01T04:02:41.860 | ||||||
| 792 | 2019 | 840492 | City of Malolos | Philippines | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 793 | 2019 | 54513 | Municipality of Uppsala | Uppsala | 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 | 2015 | 1446000 | 30 | 2020 | 1012000 | 53 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | The total emissions of greenhouse gases shall by the year 2020 have decreased by about 30 %. | 225164 | 2018 | {"type"=>"Point", "coordinates"=>[17.635, 59.8536]} | 2020-05-01T04:02:41.860 | ||||||
| 794 | 2019 | 36254 | Comune di Venezia | Venezia | Italy | 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 | 2012 | 3467367 | 20 | 2016 | 3103390 | Do not know | Do not know | the goal is to reduce energy consumption and consequently emissions for the commercial / tertiary, residential and transport sectors | 260520 | 2018 | {"type"=>"Point", "coordinates"=>[12.3211, 45.4333]} | 2020-05-01T04:02:41.860 | ||||||||
| 795 | 2018 | 60264 | Prefeitura de Botucatu | Botucatu | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-48.4441, -22.8852]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 796 | 2018 | 31182 | City of San Francisco | San Francisco | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 6201949 | 40 | 2025 | 29 | No comment | 870887 | 2016 | {"type"=>"Point", "coordinates"=>[-122.419, 37.7749]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 797 | 2019 | 8242 | City of Helsinki | Helsinki | 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 | 2013 | 3514000 | 30 | 2020 | 2459618 | 27 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | No | This target was approved by the city council in 2013. | 650033 | 2018 | {"type"=>"Point", "coordinates"=>[24.941, 60.1733]} | 2020-05-01T04:02:41.860 | ||||||
| 798 | 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 | |||||||
| 799 | 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 | ||||||||||||||
| 800 | 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 |
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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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