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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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| 451 | 2019 | 50358 | Gobierno Municipal de Toluca de Lerdo | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2010 | 2012 | 4456893 | 1 | 2016 | 4412324 | Other: Es una meta global para todos los sectores. | No | 900855 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||
| 452 | 2019 | 50679 | Município de Barreiro | Barreiro | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 2008 | 347987 | 20 | 2020 | There is a difference between the amount of CO2 emissions presented in SEAP and this table due to a change in the calculation methodology. | 78764 | 2011 | {"type"=>"Point", "coordinates"=>[-9.07907, 38.6608]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 453 | 2019 | 54517 | City Örebro | Örebro | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Base year intensity target | Other: Energy and transport | Same – covers entire city and nothing else | 2000 | 2016 | 40 | 2020 | 673869 | Metric tonnes of CO2e per capita | 7 | 87 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Yes | In Sweden we have a climate law and within that framework we have a goal of net zero emissions by 2045. In addition, emissions from domestic transport (excluding domestic flights) will be reduced by at least 70 percent by 2030 compared with 2010. The overall goal for Örebro Municipality is to reach climate neutrality to 2045. Interim targets for Örebro Municipality is to reduce the climate impact (from energy and transport) by 100 percent per capita by 2045, 70 percent per capita by 2030, and 40 percent per capita by 2020, compared with 2000. For the geographical area, the interim targets in the strategy includes the sectors energy and transport. These are easier to make fossil free than other sectors, such as food production and imported products. The sectors energy and transport therefore need to take a larger part of the reduction.For example, Örebro municipality can reduce the climate impact from transport through sustainable urban planning for increased sustainable travel, place demands on suppliers during procurement and work with the municipality's own vehicle fleet and our own travel (in the organisation). Then we are dependent on instruments at the European and national level.Sweden has submitted as a European member to the NDC in 2015 (EU first NDC). The EU climate plan contains emission reductions of 40 percent by 2030, compared with 1990. Sweden’s national target for the non-trading sector has a higher level of ambition than Sweden’s commitment within the EU. | 153367 | 2018 | {"type"=>"Point", "coordinates"=>[15.2066, 59.2741]} | 2020-05-01T04:02:41.860 | |||||
| 454 | 2019 | 31151 | City of Basel-Stadt | Basel | Switzerland | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent province: Local government area within a city/metropolitian area | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2017 | 2050 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: consume, city planning, sensibilisation, Public facility, Residential buildings, Transport | Yes - 2 °C | 200408 | 2018 | {"type"=>"Point", "coordinates"=>[7.5928, 47.5619]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 455 | 2018 | 831618 | Yaoundé 4 | Yaoundé 4 | Cameroon | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[11.5167, 3.8667]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 456 | 2018 | 43928 | Canberra | Canberra | Australia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 100 | 2045 | 415000 | 2017 | {"type"=>"Point", "coordinates"=>[149.124, -35.3075]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 457 | 2019 | 58668 | City of New Bedford, MA | New Bedford | 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 | 2017 | 2019 | 801044 | 100 | 2050 | 0 | 0 | Public facility, Transport, Water | Yes - 2 °C | No | 95120 | 2017 | {"type"=>"Point", "coordinates"=>[-70.9342, 41.6362]} | 2020-05-01T04:02:41.860 | |||||||
| 458 | 2018 | 35867 | Region Metropolitana de Guadalajara | Guadalajara | Mexico | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-103.35, 20.6597]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 459 | 2019 | 54518 | City of Helsingborg | Helsingborg | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Other: food | Same – covers entire city and nothing else | 2018 | 50 | 2035 | Yes - 1.5 °C | No | Climate impact from food should be reduced to 1 ton CO2 equivalents per inhabitant and year. Today the climate impact from food is about 2 ton CO2 equivalents per inhabitant and year. We need to find a way to measure at municipality level. Today we assume that we follow the statistics at national lelvel. | 145415 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||
| 460 | 2019 | 54510 | Umeå municipality | Umeå | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 1990 | 2008 | 390887 | 50 | 2025 | 195443 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Yes | 127119 | 2018 | {"type"=>"Point", "coordinates"=>[20.263, 63.8258]} | 2020-05-01T04:02:41.860 | |||||||
| 461 | 2019 | 58346 | Plymouth City Council | Plymouth | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | Metropolitan area | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2019 | 2030 | 290000 | 39 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Yes - 1.5 °C | New Target set following declaration of climate emergency in March 2019. Work still ongoing to define exactly what 'zero carbon' means to the authority. | 256384 | 2011 | 2020-05-01T04:02:41.860 | |||||||||||
| 462 | 2018 | 50558 | City of London, ON | London, ON | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 3430000 | 15 | 2020 | 100 | as of 2016 | 383822 | 2016 | {"type"=>"Point", "coordinates"=>[-81.2497, 42.9837]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 463 | 2019 | 46473 | City of Zaragoza | Zaragoza | Spain | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 666880 | 2018 | {"type"=>"Point", "coordinates"=>[-0.88701, 41.6086]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 464 | 2019 | 2028 | City of Bonn | Bonn | Germany | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent city | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2030 | 40 | 2030 | 1978000 | Metric tonnes of CO2e per capita | 10.8 | 25 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | No | No | due to technical posssibilities | 324670 | 2019 | 2020-05-01T04:02:41.860 | ||||||
| 465 | 2019 | 68378 | Municipalidad de Santiago de Surco | Santiago de Surco | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-77.0051, -12.1453]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 466 | 2019 | 35449 | Stadt Zürich | Zürich | Switzerland | 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 | 55 | 2035 | Commercial buildings | No | No | The baseline emission and the target emission are measured in tonnes CO2eq per person per year. Target for 2050: 1.0 tonnes CO2eq per person (18% of 2005) Target for 2035: 2.5 tonnes CO2eq per person (45% of 2005) Target for 2020: 4.0 tonnes CO2eq per person (72% of 2005) | 428737 | 2018 | {"type"=>"Point", "coordinates"=>[8.53918, 47.3686]} | 2020-05-01T04:02:41.860 | ||||||||||
| 467 | 2018 | 32480 | City of Adelaide | Adelaide | Australia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2007 | 1148108 | 35 | 2020 | 42.9 | Between FY2006/07 (base year) and FY2016/17, there has been a 15% reduction in total city-wide GHG emissions. CoA has a city-wide emission reduction target of 35% from the baseline FY2006/07 by 2020. As such the percentage of the target achieved so far is 42.9%.The CoA community GHG emissions for FY2006/07 (base year) have been recalculated and restated to ensure consistency with the latest calculation methodologies.Updates include: - Including GHG emissions from product use;- Recalculating FY2006/07 waste and transport GHG emissions in line with the GPC calculation methodology, released in 2014, to enable a robust comparison of base year emissions to current performance; and - Enhancing the approach used to calculate commercial waste GHG emissions. This inventory is reported in Q7.13. In addition to the absolute emission reduction target, the City of Adelaide has a target to achieve carbon neutrality by 2025. | 23916 | 2017 | {"type"=>"Point", "coordinates"=>[138.601, -34.9285]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 468 | 2018 | 59697 | City of Lake Worth, FL | Lake Worth | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Intensity target | 36000 | 2017 | {"type"=>"Point", "coordinates"=>[-80.0684, 26.6168]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||
| 469 | 2018 | 62855 | Egedal Municipality | Egedal | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2009 | 268000 | 7 | 2020 | The municipality are increasing in terms of citizens, business, buldings,highways etc. | 43063 | 2017 | {"type"=>"Point", "coordinates"=>[12.2387, 55.795]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 470 | 2018 | 58482 | Ville de Laval | Laval | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-73.7126, 45.6207]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 471 | 2019 | 831618 | Yaoundé 4 | Yaoundé 4 | Cameroon | Africa | 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 | 2018 | 2017 | 783501.92 | 0.2 | 2035 | 0.05 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | contribuer à l’amélioration de la participation citoyenne en vue d’un accès continu pour plus de 600000 personnes à l’habitat décent tout en assurant une meilleure planification des sources d’énergie durable et du climat dans la commune de Yaoundé 4. notre objectif s'aligne à l'objectif national mais il est plus ambitieux au niveau local | 792546 | 2017 | {"type"=>"Point", "coordinates"=>[11.5167, 3.8667]} | 2020-05-01T04:02:41.860 | |||||||
| 472 | 2018 | 59669 | City of North Vancouver | North Vancouver | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2007 | 224212 | 15 | 2020 | Includes: solid waste, public transportation; private transportation; industrial buildings; residential buildings Data availability and reliability limit our ability to track percentage of target achieved so far. | 52898 | 2016 | {"type"=>"Point", "coordinates"=>[-123.072, 49.32]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 473 | 2019 | 54092 | City of Ann Arbor | Ann Arbor | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 2000 | 2196556 | 90 | 2050 | 219655 | 2 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | No | No | This is an ambitious target for our city. There is no target at a sub-national level. The United State's NDC does not extend beyond 2025. | 121890 | 2018 | {"type"=>"Point", "coordinates"=>[-83.743, 42.2808]} | 2020-05-01T04:02:41.860 | |||||||
| 474 | 2019 | 55331 | Município de Ílhavo | Ílhavo | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 0 | 38598 | 2017 | {"type"=>"Point", "coordinates"=>[-7.58, 38.85]} | 2020-05-01T04:02:41.860 | ||||||||||||||||||
| 475 | 2019 | 63999 | City of Miami Beach, FL | Miami Beach | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 91917 | 2017 | {"type"=>"Point", "coordinates"=>[-80.13, 25.7906]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 476 | 2019 | 60375 | Gobiernación del Archipiélago de San Andrés | Archipiélago de San Andrés | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 120000 | 218 | {"type"=>"Point", "coordinates"=>[-81.6976, 12.5794]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 477 | 2018 | 35872 | Municipality of Recife | Recife | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-34.8829, -8.05783]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 478 | 2018 | 54459 | City of Reykjavík | Reykjavík | Iceland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2007 | 340000 | 73 | 2050 | 0 | 123246 | 2017 | {"type"=>"Point", "coordinates"=>[-21.8174, 64.1265]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 479 | 2018 | 50383 | Prefeitura de Sorocaba | Sorocaba | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2012 | 1061141 | 20 | 2030 | Está em elaboração o inventário de GEE para monitoramento do cumprimento da meta | 652481 | 2016 | {"type"=>"Point", "coordinates"=>[-47.4221, -23.4775]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 480 | 2019 | 31187 | Seoul Metropolitan Government | Seoul | Republic of Korea | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Special city | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2030 | 49445000 | 40 | 2030 | 30000000 | 12.6 | Other: GHG emissions from the entire city including buildings, transportation, etc. | Do not know | Yes | Seoul's GHG reduction target is higher than the national oneSeoul: 40% reduction by 2030 (Base year: 2005)Nation: 37% reduction by 2030 (BAU) | 10089517 | 2018 | {"type"=>"Point", "coordinates"=>[126.978, 37.5665]} | 2020-05-01T04:02:41.860 | ||||||
| 481 | 2019 | 54318 | Government of Tangerang City | Tangerang City | Indonesia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | Baseline scenario (business as usual) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2012 | 2019 | 5499222 | 30 | 2023 | Energy industry, Public facility, Transport, Water | this target is currently being finalized under city long term strategy 2019-2023 and targeted to be published to the public this year (2019). BAU projection is currently still being developed. | Do not know | Yes, but it exceeds its scale or requirement | 2139891 | 2019 | 2020-05-01T04:02:41.860 | |||||||||
| 482 | 2019 | 35993 | Singapore Government | Singapore | Singapore | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Sovereign city-state | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2015 | 36 | 2030 | 0.11 | Metric tonnes of CO2e per unit GDP | 0.17 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | As part of the Paris Agreement, Singapore pledged to reduce our emissions intensity (emissions per dollar of GDP) by 36% below 2005 levels by 2030 and stabilise our emissions with the aim of peaking around 2030 | 5640000 | 2018 | {"type"=>"Point", "coordinates"=>[103.82, 1.35208]} | 2020-05-01T04:02:41.860 | ||||||
| 483 | 2018 | 54493 | Kristiansand Municipality | Kristiansand | Norway | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Absolute target | 91440 | 2017 | {"type"=>"Point", "coordinates"=>[8.0182, 58.1599]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||
| 484 | 2018 | 60656 | City of Piedmont, CA | Piedmont | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent city | Absolute target | Total city-wide emissions | 2005 | 48818 | 40 | 2030 | 24 | 11378 | 2017 | {"type"=>"Point", "coordinates"=>[-122.232, 37.8244]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 485 | 2019 | 51079 | Guatemala City | Guatemala City | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 992541 | 2014 | {"type"=>"Point", "coordinates"=>[-90.5069, 14.6349]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 486 | 2019 | 834261 | Municipality of Irapuato | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Special city | No target | 529440 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 487 | 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 | 2030 | 3514000 | 60 | 2030 | 1405600 | 27 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | The city council of Helsinki decided in the new city strategy 2017-2021 that Helsinki will reduce its emissions by 60 % by 2030 and become carbon neutral (-80% emission reduction) by 2035. To implement this Helsinki prepared a mitigation action plan which includes 147 measures. The action plan was finalized in Feb 2018 and approved in Dec 2018 by the city government. | 650033 | 2018 | {"type"=>"Point", "coordinates"=>[24.941, 60.1733]} | 2020-05-01T04:02:41.860 | ||||||
| 488 | 2019 | 60408 | Municipalidad de Talca | Chile | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 220357 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 489 | 2019 | 54057 | City of Lancaster | Lancaster, CA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | 161148 | 2017 | {"type"=>"Point", "coordinates"=>[-76.3055, 40.0379]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 490 | 2019 | 73652 | Caseros | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2018 | 9325.54 | 18 | 2030 | 15048.03 | 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 Caseros donde se proyectarán las emisiones alcanzadas por el nivel BÁSICO. Este nivel abarca los sectores en los cuales los gobiernos locales poseen mayor capacidad de realizar acciones concretas, y que pueden ser gestionados más fácilmente que los incluidos en el nivel BÁSICO+. Para correlacionar el escenario Business as Usual nacional con el de Caseros 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 𝐶𝑎𝑠𝑒𝑟𝑜𝑠)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79%9y un 15,92% en el departamento Uruguay de la Provincia de Entre Ríos. Se asume, en este caso, que el aumento poblacional del departamento se replica en la localidad de Caseros. Por lo tanto, el factor de ajuste resulta de 100,81%. Así, el aumento de emisiones proyectado para Caseros será del 61,36%. 𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝐶𝑎𝑠𝑒𝑟𝑜𝑠 2014 − 2030 (%) = 60,87% ∗ 1,0081 = 61,36% Tomando de base el inventario BÁSICO de Caseros del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 15.048,03 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝐶𝑎𝑠𝑒𝑟𝑜𝑠 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒) = 9.325,54 𝑡𝐶𝑂2𝑒 ∗ (1,0081) = 15.048,03tCO2e 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, Caseros 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, Caseros no emitirá más de 12.339,39tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Caseros y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 2339 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 491 | 2019 | 35864 | Ekurhuleni Metropolitan Municipality | Ekurhuleni | South Africa | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | Fixed level target | Waste | Same – covers entire city and nothing else | 2019 | 2030 | 5500000 | 50 | Residential buildings | Do not know | 3379104 | 2016 | {"type"=>"Point", "coordinates"=>[28.3462, -26.1777]} | 2020-05-01T04:02:41.860 | |||||||||||
| 492 | 2019 | 58795 | Blantyre City Council | Blantyre | Malawi | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | 1000000 | 2019 | {"type"=>"Point", "coordinates"=>[35.0378, -15.8028]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 493 | 2019 | 31117 | City of Toronto | Toronto | Canada | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2007 | 27051617 | 65 | 2030 | 9468065.95 | 52 | Commercial buildings, Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport | Yes - 2 °C | Yes, but it exceeds its scale or requirement | 2929886 | 2017 | {"type"=>"Point", "coordinates"=>[-79.3832, 43.6532]} | 2020-05-01T04:02:41.860 | |||||||
| 494 | 2019 | 55334 | Município de Braga | Braga | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | O Plano de Ação de Energia Sustentável de Braga integra não só todas as fontes de emissões incluídas no inventário da cidade, mas também com os edifícios públicos e a iluminação pública do governo local | Same – covers entire city and nothing else | 2008 | 2014 | 627150 | 20 | 2020 | 609636 | 3 | Yes - 2 °C | Yes | Target according to the Covenant of Mayors | 181182 | 2016 | {"type"=>"Point", "coordinates"=>[-8.43821, 41.5337]} | 2020-05-01T04:02:41.860 | ||||||
| 495 | 2019 | 50571 | City of Victoria | Victoria | 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 | Transportation emissions target includes transboundary emissions of vehicles registered within city boundaries. Grid/Power generation emissions are included in target. | Same – covers entire city and nothing else | 2007 | 2016 | 412875 | 80 | 2050 | 82575 | 10.4 | 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 | 80% reduction in GHG emissions from 2007 baseline by 2050. Shift away from fossil fuels to 100% renewable energy by 2050. 50% reduction in community GHG emissions by 2030 | 92000 | 2018 | {"type"=>"Point", "coordinates"=>[-123.366, 48.4284]} | 2020-05-01T04:02:41.860 | |||||
| 496 | 2019 | 31446 | Taipei City Government | Taipei | 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 | 2030 | 13073632 | 25 | 2030 | 9805224 | 1.4 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport | Yes - 2 °C | Yes, but it exceeds its scale or requirement | 2668572 | 2018 | {"type"=>"Point", "coordinates"=>[121.564, 25.0375]} | 2020-05-01T04:02:41.860 | |||||||
| 497 | 2019 | 54518 | City of Helsingborg | Helsingborg | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Other: food | Covers only local governments emissions. | Smaller – covers only part of the city | 2018 | 2018 | 6432 | 50 | 2024 | Yes - 1.5 °C | No | The climate impact from food consumption within municipal organisation (schools, hospitals, etcetera) should be reduced by 50 % from 2018 until 2024. | 145415 | 2018 | 2020-05-01T04:02:41.860 | |||||||||
| 498 | 2019 | 35884 | City of San Diego | San Diego | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | 1394928 | 2015 | {"type"=>"Point", "coordinates"=>[-117.17, 32.7181]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 499 | 2019 | 49367 | Freetown City | Freetown | Sierra Leone | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 7 | 7 | {"type"=>"Point", "coordinates"=>[-13.2317, 8.4657]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 500 | 2019 | 31185 | City of Warsaw | Warsaw | Poland | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 1769529 | 2018 | {"type"=>"Point", "coordinates"=>[21.0122, 52.2297]} | 2020-05-01T04:02:41.860 |
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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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