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2019 City-wide Emissions Reduction Targets
This is a filtered view based on 2018 - 2019 City-wide Emissions Reduction Targets.
| Row number | Year Reported to CDP | Account Number | Organization | City | Country | CDP region | Reporting authority | Access | City boundary | Type of target | Sector | Identify and explain sources that differ from the inventory | Target boundary relative to city boundary | Base year | Year of target implementation | Base year emissions (metric tonnes CO2e) | Percentage reduction target | Target year | Target year absolute emissions (metric tonnes CO2e) | Projected population in target year | Intensity unit (emissions per) | Base year emissions per intensity unit (metric tonnes CO2e per denominator) | Estimated business as usual absolute emissions in target year (metric tonnes CO2e) | Percentage of target achieved so far | Indicate which sector(s) the target applies | Description of the target and the modelling methodology(ies) and parameters used to define it | Does this target align with the global 1.5 - 2°C pathway set out in the Paris agreement? | Does this target align to a requirement from a higher level of (sub-national) government? | Target description | Population | Population year | City Location | Last update |
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| 901 | 2019 | 31173 | Comune di Milano | Milano | 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 | 2018 | 7418000 | 100 | 2050 | 17 | Yes - 1.5 °C | Yes | 1395274 | 2018 | {"type"=>"Point", "coordinates"=>[9.08635, 45.8026]} | 2020-05-01T04:02:41.860 | |||||||||
| 902 | 2019 | 834347 | Seberang Perai Municipal Council | Malaysia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2016 | 2022 | 50 | 2022 | 2022 | Metric tonnes of CO2e per capita | 8.05 | 5 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes | 1085000 | 2019 | {"type"=>"Point", "coordinates"=>[100.383, 5.38333]} | 2020-05-01T04:02:41.860 | |||||||
| 903 | 2019 | 73749 | Nagpur | India | South and West Asia | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 2405665 | 2011 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 904 | 2019 | 59163 | City of Tirana | Tirana | Albania | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[19.8187, 41.3275]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 905 | 2019 | 55419 | City of Miramar | Miramar | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 134037 | 2016 | {"type"=>"Point", "coordinates"=>[-80.3036, 25.9861]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 906 | 2019 | 62855 | Egedal Municipality | Egedal | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2007 | 2013 | 267721 | 7 | 2020 | 249000 | 100 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Other: Target is old, will be revised in 2019 | No | The municipality are increasing in terms of citizens, business, buldings,highways etc. | 42000 | 2015 | {"type"=>"Point", "coordinates"=>[12.2387, 55.795]} | 2020-05-01T04:02:41.860 | ||||||
| 907 | 2019 | 50579 | City of Winnipeg | Winnipeg | 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 | Targets outlined in City of Winnipeg Climate Action Plan. | Same – covers entire city and nothing else | 2011 | 2018 | 5379024 | 20 | 2030 | Other: All sectors combined. | Yes - 2 °C | No | City of Winnipeg GHG reduction targets have been renewed (2018). The 20 per cent by 2030 reduction (relative to 2011) reflects what is possible when the City implements policies outlined in its Low Carbon Path Scenario as presented in the 2011 Community GHG Inventory and Forecast Report.The 80 per cent by 2050 reduction (relative to 2011) aligns with science-based approaches to limiting global warming to 2 degrees Celsius, a level determined to be required to limit catastrophic impacts from climate change.Other factors in target-setting - desire from public and community stakeholders, strong desire to inspire action today and to advance new opportunities for innovation for future generations, and it is assumed that additional shifts in technology will occur. The City will continue to evaluate its progress on the targets and adjust as necessary. | 691800 | 2011 | {"type"=>"Point", "coordinates"=>[-97.1375, 49.8997]} | 2020-05-01T04:02:41.860 | |||||||
| 908 | 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 | 23.6 | 2040 | 38627.53 | 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 | ||||||
| 909 | 2019 | 60332 | Prefeitura de São Carlos | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 910 | 2019 | 44077 | Kampala City | Kampala | Uganda | Africa | 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 | 2014 | 2030 | 1460435 | 22 | 2030 | 4939475.41 | Transport | The target was derived using input data parameters of population growth affecting the growth in transport emissions | Yes - 2 °C | Yes | 1631210 | 2018 | 2020-05-01T04:02:41.860 | ||||||||
| 911 | 2019 | 50579 | City of Winnipeg | Winnipeg | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Other: Land Use | The contribution of land use to GHG emission reductions is primarily realized through other sectors (i.e.,transportation and buildings). | Same – covers entire city and nothing else | 2011 | 2018 | 0 | Other | Yes - 2 °C | Do not know | The contribution of land use to GHG emission reductions is primarily realized through other sectors (i.e.,transportation and buildings). For example, as the City becomes more spread out with growth occurringprimarily at the periphery, the number and length of personal vehicle travel increases, and other mobilityoptions become less viable or more costly to implement. The type of residential development influencesbuilding emissions – in general single detached houses are more energy intensive than multi-unit residential buildings. Therefore, supporting diverse housing forms, density, complete community and transit-oriented development are land use strategies that support the reduction of GHG emissions from transportation and buildings. Evaluating the success of land use related actions therefore necessitates a consideration of indicators in these other sectors. To work towards the City’s overall emission reduction goals, the City seeks to support residential infill and greater densities in strategic locations that provide convenient access to transit. More specifically, it is envisioned that by 2031:- 50% of all new residential construction takes place in strategic infill locations. | 691800 | 2011 | {"type"=>"Point", "coordinates"=>[-97.1375, 49.8997]} | 2020-05-01T04:02:41.860 | |||||||||
| 912 | 2019 | 73709 | Los Surgentes | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 913 | 2019 | 834347 | Seberang Perai Municipal Council | Malaysia | Southeast Asia and Oceania | 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 | 2016 | 2018 | 8.05 | 60 | 2022 | 11.42 | 13.3 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | The Methodologies and Modelling are based on 3 years study on the emission trend and mitigation efforts | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | 1085000 | 2019 | {"type"=>"Point", "coordinates"=>[100.383, 5.38333]} | 2020-05-01T04:02:41.860 | |||||||
| 914 | 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 | 80 | 2050 | adopted in 2015 with SCP | 378839 | 2019 | {"type"=>"Point", "coordinates"=>[11.2558, 43.7696]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 915 | 2019 | 3203 | City of Chicago | Chicago | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2005 | 36869456 | 26 | 2025 | 27283397 | 40 | Commercial buildings, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | The City has committed to the goals of the Paris Agreement originally agreed to by the Obama administration. | 2705994 | 2018 | {"type"=>"Point", "coordinates"=>[-87.6298, 41.8781]} | 2020-05-01T04:02:41.860 | ||||||
| 916 | 2019 | 50361 | Ayuntamiento de Hermosillo | Hermosillo | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | Baseline scenario (business as usual) target | All emissions sources included in city inventory | No sources differ. | Same – covers entire city and nothing else | 2015 | 2018 | 7700073 | 19 | 2050 | 13748689 | 0.6 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | The Mitigation Roadmap has been defined with the relevant stakeholders in Hermosillo, through collaborative workshops with each sector.The starting point for the definition of the Mitigation Roadmap includes the GHG Emissions Inventory and the qualitative-exhaustive diagnosis of urban planning, to ensure the alignment of the Mitigation Roadmap with the strategies. The revised planning documents include:- Hermosillo's Municipal Development Plan 2016-2018.- Hermosillo's 2015 Municipal Climate Action Plan.- Hermosillo's City prosperity index by UN-HABITAT and SEDATU.The mitigation roadmap was established from three references:- New actions during the diagnosis.- The revision of municipal plans and projects.- The actions proposed directly by the city's stakeholders.The prioritization was carried out through a semiquantitative multicriteria analysis, considering specifically for each action, the following four criteria:- Mitigation potential.- Viability.- Added environmental benefits.- Added social benefits. | Yes - 2 °C | Yes | The policy aims to improve the capacity for adaptation, strengthen resilience and reduce the vulnerability to climate change in the city by aligning with the efforts of the Nationally Determined Contribution (CDN). That is, at the local level and from its area of influence, this is a strategy to contribute to the fulfilment of Mexico's commitments with its CDN. For example, the regeneration of green areas is of special importance for Hermosillo; the Municipal Action Plan, Hermosillo at a Human Scale (BID-NADBANK, 2018), remarks regarding the ratio of green areas and public spaces, that the city has 20 hectares per 100,000 inhabitants. Currently, there is an increase in the deficit of green areas and public spaces; it is expected that qualified green areas grow to a lesser extent than the population by the year 2050. Therefore, in a Business as Usual scenario: The index of green areas per inhabitant decreases from 2.14 m2 / hab. in 2015 to 1.58 m2 / hab. in 2050. | 727267 | 2010 | {"type"=>"Point", "coordinates"=>[-110.961, 29.0892]} | 2020-05-01T04:02:41.860 | ||||
| 917 | 2019 | 35893 | City of Dar es Salaam | Dar es Salaam | United Republic of Tanzania | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | All emissions sources included in city inventory | Larger – covers the whole city and adjoining areas | 1994 | 2030 | 10 | 2014 | 143000000 | Metric tonnes of CO2e per capita | 0.22 | 0 | Energy industry, Heating and cooling supply, Industrial facilities, Transport | Yes - 2 °C | Yes | Tanzania has already submitted it's INTENDED NATIONALLY DETERMINED CONTRIBUTIONS (INDCs).The target 1. To reduce climate related disasters from 70% to 50%, and significantly reduce the impacts of spatial and temporal variability of declining rainfall, frequent droughts and floods which have long term implications to all productive sectors and ecosystems, particularly the agricultural sector.2. To increase access to clean and safe water from 60% to 75%.3. To reduce greenhouse gas emissions economy wide between 10-20% by 2030 | 6041000 | 2019 | {"type"=>"Point", "coordinates"=>[39.2083, -6.79235]} | 2020-05-01T04:02:41.860 | |||||
| 918 | 2019 | 35860 | City of Dallas | Dallas | 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 | N/A | Same – covers entire city and nothing else | 2019 | 2050 | 3800000 | 20 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | There is no target set by the U.S. Federal Government or the State of Texas at this time. This is a target selected by the City of Dallas. | 1345047 | 2018 | {"type"=>"Point", "coordinates"=>[-96.8004, 32.7801]} | 2020-05-01T04:02:41.860 | |||||||||
| 919 | 2019 | 59580 | Town of Dedham, MA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 25377 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 920 | 2019 | 36261 | Comune di Bolzano | Bolzano | 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 | 2017 | 520715 | 40.65 | 2030 | 309046 | 6.8 | Heating and cooling supply, Public facility, Residential buildings, Transport | Do not know | Do not know | Target is the reduction of CO2 by 40.65 %. | 107669 | 2018 | {"type"=>"Point", "coordinates"=>[11.3566, 46.4997]} | 2020-05-01T04:02:41.860 | ||||||
| 921 | 2019 | 58626 | City of Racine, WI | 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 | 1990 | 0 | Do not know | 78860 | 2010 | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 922 | 2019 | 831926 | Ramallah | State of Palestine | Middle East | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 66000 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 923 | 2019 | 834301 | Municipality of San Antonio de Areco | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte, 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 | 94101.34 | 20 | 2030 | 139417.88 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | En 2016 Argentina presentó su NDC, en ella propone no exceder la emisión neta de 483 millones de toneladas de dióxido de carbono equivalente en el año 2030, esto significaría reducir el 18% de las emisiones proyectadas en un escenario de referencia.Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e11. De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%.Este aumento será considerado para la preparación del escenario BAU de San Antonio de Areco 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 San Antonio de Areco 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 de la población entre 2014 y 2030 de San Antonio de Areco/variacion de la población entre 2014 y 2030 de Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79%12 y un 12,49%13 en el municipio. Por lo tanto el factor de ajuste resulta de 0,79. Así, el aumento de emisiones proyectado para San Antonio de Areco será del 48,14%.Tomando de base el inventario BÁSICO de San Antonio de Areco del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 139.401,73 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 Antonio de Areco se compromete a reducir sus emisiones de gases de efecto en al menos un 20% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, San Antonio de Areco no emitirá más de 111.406,28 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por San Antonio de Areco y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 24111 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 924 | 2019 | 840926 | Prefeitura de Serra Talhada | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 925 | 2019 | 35858 | City of Cape Town | Cape Town | South Africa | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | This includes energy-related emissions (electricity and transport) only and therefore waste is not accounted for. | Same – covers entire city and nothing else | 2012 | 2015 | 20917934 | 37 | 2040 | 41769979 | 31 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport | The target applied a bottom-up model of energy demand projected forward using growth (of GDP and population) parameters. Using the Long-Range Energy Alternatives Planning (LEAP) simulation tool, it was based on a set of interventions addressing demand for both energy and transport. | Do not know | Yes, but it exceeds its scale or requirement | Please note that the amendment to this entry was requested by WWF to comply with OPCC submission requirements. Although the target did not include all emissions sources listed in the updated inventory (by excluding waste), it is the most recent official citywide target for Cape Town.This target was established under the Energy2040 Goal process, and so was based on ambitious targets but preceded the Paris Agreement and South Africa's NDC. It exceeds the ambition of the NDC, but what is more important is that it is now being aligned with the global pathway set out in the Paris Agreement, under the C40 Deadline 2020 commitment. The target covers energy only (including aviation and Marine) | 4223565 | 2017 | {"type"=>"Point", "coordinates"=>[18.4239, -33.9253]} | 2020-05-01T04:02:41.860 | ||||
| 926 | 2019 | 838939 | Kocaeli Metropolitan Municipality | Turkey | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | Baseline scenario (business as usual) target | Other: Industrial Processes | In the business as usual scenario, emissions from the industry sector is calculated to be 26.1 million ton CO2e. With a 20% reduction target for the sector only, the total reduction of emissions in absolute value is 5.3 million ton CO2e | Same – covers entire city and nothing else | 2016 | 2030 | 3962233 | 20 | 2030 | 23677522 | Industrial facilities | We are expecting guidance from the Government of Turkey with regards to alignment to the targets set out in the Paris Agreement. | Do not know | No | In line with country NDC target of 21%reduction from increase. | 1830772 | 2016 | 2020-05-01T04:02:41.860 | |||||||
| 927 | 2019 | 32480 | City of Adelaide | Adelaide | Australia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | n/a | Same – covers entire city and nothing else | 2007 | 2015 | 1148108 | 35 | 2020 | 746270 | 42 | 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 | Target:That the City of Adelaide has reduced its carbon emissions by 35% by 2020 (from 2006-07 baseline year) | 27247 | 2019 | {"type"=>"Point", "coordinates"=>[138.601, -34.9285]} | 2020-05-01T04:02:41.860 | |||||
| 928 | 2019 | 840425 | Skövde kommun | Skövde | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2012 | 40 | 2020 | Metric tonnes of CO2e per capita | 18.1 | 95 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: all sectors, Other: Target includes all but part of the industry that is connected to the EU Emissions trading system., Public facility, Residential buildings, Transport, Water | No | Yes | Emissions of greenhouse gases from Skövde municipality by 2020 should be 40 percent lower than the 1990 emissions per inhabitant | 55729 | 2018 | 2020-05-01T04:02:41.860 | |||||||
| 929 | 2019 | 60271 | Prefeitura de Bertioga | Bertioga | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 61736 | 2018 | {"type"=>"Point", "coordinates"=>[-46.0599, -23.8081]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 930 | 2019 | 60126 | Tartu City Council | Tartu | Estonia | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2015 | 2020 | 98000 | 18 | Commercial buildings, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | Target is set by EU and is approved by country government | 95147 | 2019 | {"type"=>"Point", "coordinates"=>[26.7219, 58.38]} | 2020-05-01T04:02:41.860 | ||||||||||
| 931 | 2019 | 60599 | Town of Bridgewater, NS | Bridgewater | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2011 | 2018 | 385000 | 81 | 2050 | 74000 | 0 | 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 | Exceeds Nova Scotia's GHG emissions targets | 8532 | 2016 | {"type"=>"Point", "coordinates"=>[-64.5188, 44.3786]} | 2020-05-01T04:02:41.860 | ||||||
| 932 | 2019 | 2185 | Bristol City Council | Bristol | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2019 | 2030 | 514940 | 37 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: All scope 1 and 2 emissions generated within the city boundary, Public facility, Residential buildings, Transport | Yes - 1.5 °C | On 24th June, the UK Government enshrined a new net-zero emissions target for 2050 into UK law. Our goal is to be net zero for Greenhouse Gas emissions by 2050 (scopes 1 and 2). We are currently considering how we will establish a baseline for scope 3 emissions and monitor in the future. | 459300 | 2017 | 2020-05-01T04:02:41.860 | |||||||||||
| 933 | 2019 | 831999 | Concejo Municipal de Distrito de Monte Verde | Costa Rica | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Sub-municipal district | Base year emissions (absolute) target | 65 | 219 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 934 | 2019 | 54102 | City of Albany | Albany | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 2009 | 0 | 2030 | Divert 65% of solid waste from the landfill by 2030 | 97856 | 2010 | {"type"=>"Point", "coordinates"=>[-73.7562, 42.6526]} | 2020-05-01T04:02:41.860 | |||||||||||||||
| 935 | 2019 | 50373 | Municipalidad de Rosario | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Waste | Same – covers entire city and nothing else | 2016 | 2019 | 65526 | 63 | 2030 | 248918 | 0 | Other: Residuos | El objetivo fue definido mediante la cuantificación de la reducción de emisiones de GEI para cada proyecto y en base a el escenario BAU modelado mediante la herramienta CURB. | Do not know | No | El objetivo de reducción para el sector es del 63% respecto al escenario BAU al año 2030 . Dicho objetivo se basa solo en proyectos a escala local.El porcentaje de reducción es más ambicioso que las NDC. | 982137 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 936 | 2019 | 74401 | City of Encinitas, CA | Encinitas | 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 | 2012 | 2018 | 483773 | 41 | 2030 | 285426 | Other | Do not know | Yes | The city's target aligns with the state of California's targets established by Senate Bill 350. | 63184 | 2017 | {"type"=>"Point", "coordinates"=>[-117.293, 33.0454]} | 2020-05-01T04:02:41.860 | |||||||
| 937 | 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 | Larger – covers the whole city and adjoining areas | 2005 | 2016 | 19510422 | 50 | 2050 | 9755211 | 11.4 | 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 | |||||||
| 938 | 2019 | 841003 | Ayuntamiento de Apodaca | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | No target | 5247 | 214 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 939 | 2019 | 50357 | Ciudad de Mendoza | Mendoza | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 115041 | 2010 | {"type"=>"Point", "coordinates"=>[-68.8458, -32.8894]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 940 | 2019 | 50555 | City of Hamilton | Hamilton | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2006 | 2019 | 23087326 | 100 | 2050 | 0 | 42.1 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | New targets set in 2019 by City Council to become net-carbon zero by 2050 after declaring a climate change emergency. | 558397 | 2017 | {"type"=>"Point", "coordinates"=>[-79.8661, 43.25]} | 2020-05-01T04:02:41.860 | ||||||
| 941 | 2019 | 62817 | City of Ithaca, NY | 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 | 2030 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Become a carbon neutral city by 2030 | 30999 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 942 | 2019 | 58543 | Byron Shire Council | Byron Shire | Australia | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability | public | Other: Local government area (rural) | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2015 | 2017 | 18660 | 100 | 2027 | Other: Council Operations | Yes - 1.5 °C | No | To source 100% of Council's energy through renewable sources within the next 10 years (2027). | 34574 | 2018 | {"type"=>"Point", "coordinates"=>[153.533, -28.6534]} | 2020-05-01T04:02:41.860 | ||||||||
| 943 | 2019 | 834163 | Hat Siao Sub-District Municipality | Thailand | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Waste | GHG emissions from (Scope1) is equal to 316.94 tonCo2e or 3.84% of direct GHG emissions (Scope1) which is aligned with the policies of organizations and country. | Same – covers entire city and nothing else | 2013 | 2030 | 0 | 6761 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||
| 944 | 2019 | 68385 | Municipio de Chorrera | Chorrera | Panama | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 161470 | 2010 | {"type"=>"Point", "coordinates"=>[-79.7736, 8.88289]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 945 | 2019 | 73666 | Cuyahoga 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 | 2010 | 2030 | 26100000 | 45 | 2030 | 14600000 | 22.13 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Do not know | Since 2010, we have decreased our emissions by 9.96%. The county has achieved 22.13% of our goal to reduce our emissions by 45% by 2030. | 1248371 | 2017 | 2020-05-01T04:02:41.860 | ||||||||
| 946 | 2019 | 54656 | Prefeitura de Vinhedo | Vinhedo | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 77308 | 2019 | {"type"=>"Point", "coordinates"=>[-46.9838, -23.0307]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 947 | 2019 | 3417 | New York City | New York City | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 2005 | 2014 | 61062452 | 40 | 2030 | 36637471 | 42 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Waste and transportation, Public facility, Residential buildings, Transport, Water | Do not know | 8622700 | 2017 | {"type"=>"Point", "coordinates"=>[-74.0059, 40.7128]} | 2020-05-01T04:02:41.860 | |||||||||
| 948 | 2019 | 35887 | Ajuntament de Valencia | Valencia | Spain | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-0.3763, 39.4699]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 949 | 2019 | 838939 | Kocaeli Metropolitan Municipality | Turkey | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | Baseline scenario (business as usual) target | Transport | In the business as usual scenario, emissions from the transport sector is calculated to be 6,5 million ton CO2e. With a 20% reduction target for the sector only, the total reduction of emissions in absolute value is 1,3 million ton CO2e | Same – covers entire city and nothing else | 2016 | 2030 | 3414082 | 20 | 2030 | 5896700 | Transport | We are expecting guidance from the Government of Turkey with regards to alignment to the targets set out in the Paris Agreement. | Do not know | No | In line with country NDC target of 21%reduction from increase. | 1830772 | 2016 | 2020-05-01T04:02:41.860 | |||||||
| 950 | 2019 | 63941 | Broward County, FL | Broward | 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 | 2010 | 2014 | 22177409 | 80 | 2050 | 0 | 2014 Total: 25,207,287.Will update with 2017 total when available. | 1870000 | 2014 | {"type"=>"Point", "coordinates"=>[80.3659, 26.1901]} | 2020-05-01T04:02:41.860 |
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Description
This data was collected in partnership by CDP and ICLEI - Local Governments for Sustainability.
The dataset contains all city-wide emissions reduction targets publicly disclosed in 2018 and 2019
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