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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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| 1501 | 2019 | 56276 | New Taipei City Government | New 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 | Our GHG emission reduction plan does not include scope 3, and incorporates carbon sinks. | Same – covers entire city and nothing else | 2005 | 2016 | 19106355.53 | 18.3 | 2025 | 15609669.85 | 5 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | Short-term(in 2020) goal:Decreasing 9% less than the baseline (2005).(2025 GHG emission is decreasing 18.3% less than the baseline(2005))Mid-term goal (in 2030):Decreasing 25% less than the baseline (2005).Long-term goal (in 2050):Decreasing 50% less than the baseline (2005). | 3986689 | 2017 | {"type"=>"Point", "coordinates"=>[121.446, 25.0111]} | 2020-05-01T04:02:41.860 | |||||
| 1502 | 2019 | 49330 | Kansas City | Kansas City | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Independent city | Fixed level target | 488943 | 2017 | {"type"=>"Point", "coordinates"=>[-94.573, 39.1429]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1503 | 2019 | 50396 | Prefeitura Municipal de Santos | Santos | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 434742 | 2017 | {"type"=>"Point", "coordinates"=>[-46.3289, -23.9679]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1504 | 2019 | 36037 | Santiago de Cali | Santiago de Cali | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | All emissions sources included in city inventory | La meta de reducción de gases de efecto invernadero es del 20% en el año 2030. | Larger – covers the whole city and adjoining areas | 2016 | 2020 | 2496442 | 50 | Energy industry, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | La meta nacional de reducción de gases de efecto invernadero es del 20% al año 2030 y la ciudad la acogió sin modificaciones. | 2369829 | 2015 | {"type"=>"Point", "coordinates"=>[-76.532, 3.45164]} | 2020-05-01T04:02:41.860 | |||||||||
| 1505 | 2018 | 49330 | Kansas City | Kansas City | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Independent city | Absolute target | Total city-wide emissions | 2000 | 11300000 | 30 | 2020 | 13 | 467007 | 2013 | {"type"=>"Point", "coordinates"=>[-94.573, 39.1429]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1506 | 2019 | 73676 | Umhlathuze | South Africa | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 410465 | 2016 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1507 | 2019 | 840030 | Reconquista | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2016 | 2019 | 247659 | 18 | 2030 | 434607 | 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, desde el año 2016, es del 53,26%.Este aumento será considerado para la preparación del escenario BAU de Reconquista 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 Reconquista se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2016-2030 a nivel nacional y local.El INDEC estima que durante este tiempo la población argentina aumentará un 13,64% y un 19,33% en el municipio. Por lo tanto el factor de ajuste resulta de 1,417. Así, el aumento de emisiones proyectado para Reconquista será del 75,49%. 𝐴𝑢𝑚𝑒𝑛𝑡𝑜 𝑑𝑒 𝑒𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑒𝑛 𝑅𝑒𝑐𝑜𝑛𝑞𝑢𝑖𝑠𝑡𝑎 2016−2030 (%)= 53,26%∗1,417=75,49%Tomando de base el inventario BÁSICO de Reconquista del 2016, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 433.607,61 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑅𝑒𝑐𝑜𝑛𝑞𝑢𝑖𝑠𝑡𝑎 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒)=247.659,60 𝑡𝐶𝑂2𝑒∗1,7549= 434.607,61 𝑡𝐶𝑂2𝑒Tomando 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, Reconquista se fija una meta aún más ambiciosa, 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, Reconquista no emitirá más de 356.378,24 tCO2e. | Do not know | Do not know | Se espera que la reducción de emisiones propuesta por Reconquista y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 78570 | 2016 | 2020-05-01T04:02:41.860 | |||||||
| 1508 | 2018 | 60354 | Prefeitura de São Sebastião | São Sebastião | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-23.76, -45.41]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1509 | 2019 | 54113 | City of Flagstaff | Flagstaff | 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 | 2016 | 2018 | 826270.21 | 15 | 2025 | 702329.67 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | No | 73964 | 2018 | {"type"=>"Point", "coordinates"=>[-111.631, 35.1992]} | 2020-05-01T04:02:41.860 | |||||||
| 1510 | 2019 | 839666 | Municipio de Escuintla | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Smaller – covers only part of the city | 2017 | 2020 | 314.83 | 10 | 2023 | 280 | 10 | Energy industry, Industrial facilities, Public facility, Transport, Water | Do not know | Do not know | El pais no tiene una meta | 170543 | 2019 | 2020-05-01T04:02:41.860 | ||||||||
| 1511 | 2019 | 54654 | Prefeitura de São João da Boa Vista | São João da Boa Vista | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 90089 | 2017 | {"type"=>"Point", "coordinates"=>[-49.1964, -18.4056]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1512 | 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 | Same – covers entire city and nothing else | 2005 | 2519980 | 21 | 2020 | Yes - 1.5 °C | adopted in 2011 | 378839 | 2019 | {"type"=>"Point", "coordinates"=>[11.2558, 43.7696]} | 2020-05-01T04:02:41.860 | |||||||||||
| 1513 | 2019 | 60216 | City of Växjö | Växjö | Sweden | 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 | 1993 | 1993 | 81 | 2030 | 130060 | Metric tonnes of CO2e per capita | 6.4 | 54 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Other = for instance waste management, agriculture, forestry, Public facility, Residential buildings, Transport | Do not know | No | Växjö's politically adopted target actually only refers to CO2 emissions (100% reduction until 2030). The information presented above describes what the target would be if it included all GHGs, but having no reduction target on the other GHGs. The result so far includes the other gases.Note: the population in base year (1993) was 71,396, current population 91,060, and projected population in 2030 is 107,000.The local target is more ambitious than national and regional targets, but it is not a REQUIREMENT for municipalities in Sweden to have climate targets. | 91060 | 2017 | {"type"=>"Point", "coordinates"=>[14.8091, 56.8777]} | 2020-05-01T04:02:41.860 | |||||
| 1514 | 2018 | 54110 | City of Santa Monica | Santa Monica | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 1386640 | 15 | 2015 | 92478 | 2016 | {"type"=>"Point", "coordinates"=>[-118.481, 34.0219]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1515 | 2019 | 60114 | City of Gdynia | Gdynia | Poland | 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 | 1999 | 20 | 2020 | Gdynia has the Low Emission Economy Plan 2015-2020. Up to 2020 Gdynia declared to reduce the emission of CO2 by 20%, to reduce the consumption of the final energy by 28% and to increase power installed renewable energy sources by 14,4 MW. | 246309 | 2018 | {"type"=>"Point", "coordinates"=>[18.5305, 54.5189]} | 2020-05-01T04:02:41.860 | ||||||||||||||
| 1516 | 2018 | 35879 | City of Minneapolis | Minneapolis | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2006 | 5173279 | 80 | 2050 | 26 | Minneapolis greenhouse gas (GHG) emissions from citywide activities decreased 20.4% in 2016 compared to the 2006 baseline, continuing a downward trajectory one year after exceeding the 2015 reduction goal of 15%. | 419952 | 2016 | {"type"=>"Point", "coordinates"=>[-93.2667, 44.9833]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1517 | 2019 | 832274 | Município de Odemira | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 1518 | 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 | 40 | 2020 | Baseline emissions subject to change in event of methodology change | 415000 | 2017 | {"type"=>"Point", "coordinates"=>[149.124, -35.3075]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1519 | 2018 | 60274 | Prefeitura de Cruzeiro do Sul | Cruzeiro do Sul | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-72.6761, -7.62799]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1520 | 2019 | 35863 | eThekwini Municipality | Durban | South Africa | Africa | C40, 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 | 2015 | 2030 | 22542921 | 80 | 2050 | 3.7 | Commercial buildings, Energy industry, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | 3887356 | 2017 | {"type"=>"Point", "coordinates"=>[31.0218, -29.8587]} | 2020-05-01T04:02:41.860 | ||||||||
| 1521 | 2019 | 50578 | City of Windsor | Windsor | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | Other: Total City-wide emissions | Same – covers entire city and nothing else | 2014 | 2018 | 40 | 2041 | 1140000 | Metric tonnes of CO2e per capita | 8.8 | 0 | Commercial buildings, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Yes - 1.5 °C | No | Reduce GHG emissions by 40 per cent by 2041 from 8.8t CO2e per capita in 2014.The federal and provincial governments do not require the municipality to set an emission target. However, the emissions target set met the targets identified in the 2016 Ontario Climate Action Plan and the 2018 Made in Ontario plan. | 233763 | 2018 | {"type"=>"Point", "coordinates"=>[-83.0364, 42.3149]} | 2020-05-01T04:02:41.860 | |||||
| 1522 | 2018 | 35879 | City of Minneapolis | Minneapolis | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2006 | 5173279 | 30 | 2025 | 68 | Minneapolis greenhouse gas (GHG) emissions from citywide activities decreased 20.4% in 2016 compared to the 2006 baseline, continuing a downward trajectory one year after exceeding the 2015 reduction goal of 15%. | 419952 | 2016 | {"type"=>"Point", "coordinates"=>[-93.2667, 44.9833]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1523 | 2019 | 834374 | Tagum City | Philippines | 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 | Partial – covers part of the city and adjoining areas | 2018 | 2018 | 50 | 2020 | 400 | Other | 23 | 50 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes | Based on the current PPAs and other proposed actions, it is expected that emissions from electricity will be reduced while there will be a potential decrease in waste sector for the community level. Various measures are expressed through enhancement of objectives and PPAs identification presented in the succeeding sections of this document. | 259444 | 2015 | 2020-05-01T04:02:41.860 | |||||||
| 1524 | 2019 | 826209 | Aipromades Lago de Chapala | Chapala | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-103.191, 20.2962]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 1525 | 2019 | 840042 | Gislaveds Kommun | GISLAVED | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Fixed level target | 29857 | 2018 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 1526 | 2019 | 49342 | City of Rochester | Rochester | 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 | NA | Same – covers entire city and nothing else | 2010 | 2017 | 1800000 | 40 | 2030 | 1080000 | 0 | Other: Don't know. Updated GHG inventory will be done in 2020 to identify percent of target achieved to date as well as sectors applied. | Do not know | Yes | Source: Rochester Climate Action Plan, page 32 | 210563 | 2010 | {"type"=>"Point", "coordinates"=>[-77.6109, 43.161]} | 2020-05-01T04:02:41.860 | |||||
| 1527 | 2018 | 31113 | City of Yokohama | Yokohama | Japan | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Other | 2005 | 2020 | Absorption through forests and tree planting | 3731096 | 2017 | {"type"=>"Point", "coordinates"=>[139.638, 35.4437]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 1528 | 2018 | 20113 | City of Vancouver | Vancouver | Canada | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Stationary energy (buildings) | 2007 | 1585000 | 20 | 2020 | 5 | See the Greenest City Action Plan for details. | 631486 | 2016 | {"type"=>"Point", "coordinates"=>[-123.114, 49.2612]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1529 | 2018 | 54623 | Prefeitura de Betim | Betim | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-44.2012, -19.9673]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1530 | 2019 | 54627 | Prefeitura de Joinville | Joinville | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 590466 | 2019 | {"type"=>"Point", "coordinates"=>[-48.8407, -26.301]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1531 | 2019 | 50378 | Municipalidad de San José | San José | Costa Rica | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Transport | Same – covers entire city and nothing else | 617188 | 0 | 25 | Transport | Yes - 2 °C | Yes | Año base: 2017.Ciudad Caminable: Bajo la premisa “una ciudad limpia y amigable es una ciudad que camina” se busca propiciar mejores condiciones para que la población goce de áreas por donde desplazarse hacia sus lugares de trabajo, ocio y residencia, rescatando la figura del peatón. La meta de reducción como tal no ha sido calculada por necesidad de encontrar la metodología adecuada. En ese sentido, la acción implica aspectos como los siguientes: Construcción de aceras en lugares donde se encuentren ausentes. Mejoras en las aceras existentes a incluir, entre otros: arreglo de grietas, ajustar niveles con la calle y mantenerlos constantes, eliminar obstáculos, ampliar áreas, iluminación, sombra y refugio para peatones contra condiciones climáticas, adaptación de estructuras a inundaciones, mejoras en alcantarillado pluvial y desagües. Habilitar más áreas de bulevares. Arborización de zonas habilitadas. Señalización vial. Accesibilidad, rampas seguras y con pendientes adecuadas. Cruces peatonales a nivel y con anchura adecuada.Consideraciones técnicas y sociales: Mejoras en la vigilancia y seguridad ciudadana, coordinación con Seguridad Pública y Municipal. Conexión de áreas caminables con elementos viales y de transporte: ciclovías, paradas de buses, estaciones de trenes. Conexión con comercios, servicios, instituciones públicas y residencias. Uso de áreas para actividades culturales, sociales. Comunicación con el MOPT para intervenciones conjuntas en vías nacionales (Comisión con el MOPT, según Reglamento de Desarrollo -RDU- o Plan regulador).Para el cálculo de reducción de emisiones, se propone utilizar las distribuciones modales empleadas en el cálculo de emisiones en el sector transporte, subsector por carretera, bajo la metodología de viajes. La reducción estaría basada en la modificación de la distribución modal, previéndose un incremento en el porcentaje de desplazamientos a pie, a cambio de una reducción en otros medios de transporte. Para definir dichos ajustes con mayor precisión, será necesario el criterio técnico de expertos, y estudios que fundamenten cómo se darían los cambios en las distribuciones modales. En esa matemática, se incluirían aspectos como la población que transita en el cantón, distribución modal, distancias de viajes por modo de transporte, cantidad de viajes por día por persona, entre otros | 342188 | 2017 | {"type"=>"Point", "coordinates"=>[9.9326, -84.0796]} | 2020-05-01T04:02:41.860 | ||||||||||
| 1532 | 2019 | 840938 | Prefeitura de São Luis de Montes Belos | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 33817 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1533 | 2019 | 50394 | Prefeitura Municipal de João Pessoa | João Pessoa | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 723515 | 2010 | {"type"=>"Point", "coordinates"=>[-34.8639, -7.16882]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1534 | 2019 | 834374 | Tagum City | Philippines | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 259444 | 2015 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1535 | 2018 | 60218 | Municipality of Karlskrona | Karlskrona | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | {"type"=>"Point", "coordinates"=>[15.5866, 56.1616]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1536 | 2018 | 58489 | Hoeje-Taastrup Kommune | Hoeje-Taastrup | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2012 | 312026 | 95 | 2050 | 50246 | 2017 | {"type"=>"Point", "coordinates"=>[12.2898, 55.6563]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1537 | 2019 | 54109 | City of Bloomington | Bloomington | 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 | 2016 | 2018 | 1328610 | 11 | 2023 | 1182463 | Other: Community-wide target | Do not know | No | - Bloomington Target: Reduce community GHG emissions 11 percent by 2023, relative to a baseline of 1.3 million metric tons of GHG emissions in 2016. -> Annual reduction rate: 11 percent / 7 years = 1.57% emissions reduction per year to reach goal by target year.- U.S. NDC: The United States intends to achieve an economy-wide target of reducing its greenhouse gas emissions by 26-28 percent below its 2005 level in 2025 and to make best efforts to reduce its emissions by 28%. -> Annual reduction rate: 27 percent / 20 years= 1.35% emissions reduction per year to reach goal by target year. - Bloomington's current annual reductions % emissions reduction target is more ambitious than the U.S.'s Nationally Determined Commitment. | 84981 | 2018 | {"type"=>"Point", "coordinates"=>[-86.5264, 39.1653]} | 2020-05-01T04:02:41.860 | |||||||
| 1538 | 2019 | 60142 | City of Kisumu | Kisumu | Kenya | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Province / County | No target | 968909 | 2010 | {"type"=>"Point", "coordinates"=>[34.7679, -0.0917]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1539 | 2018 | 31169 | Government of Hong Kong Special Administrative Region | Hong Kong | China, Hong Kong Special Administrative Region | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Intensity target | Other: Total | 2005 | 50 | 2020 | Metric tonnes of CO2e per unit GDP | 0 | 28 | To reduce carbon intensity by 50-60% target by 2020 using 2005 as the base | 7391700 | 2017 | {"type"=>"Point", "coordinates"=>[114.14, 22.2881]} | 2020-05-01T04:02:29.947 | |||||||||||
| 1540 | 2019 | 36036 | City of Ibadan | Ibadan | Nigeria | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | 0 | 5591589 | 2011 | {"type"=>"Point", "coordinates"=>[3.94704, 7.37753]} | 2020-05-01T04:02:41.860 | ||||||||||||||||||
| 1541 | 2019 | 50541 | City of Greensboro | Greensboro | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2025 | 5322016 | 40 | 2025 | 3193210 | 42.46 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes | Tentative goal (not yet formally adopted) is to reduce emissions by 40% or more from estimated 2005 levels, by 2025. | 294722 | 2018 | {"type"=>"Point", "coordinates"=>[-79.792, 36.0726]} | 2020-05-01T04:02:41.860 | ||||||
| 1542 | 2019 | 54104 | City of Boulder | Boulder | 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 | Sources do not differ. | Same – covers entire city and nothing else | 2005 | 2016 | 1846217 | 80 | 2050 | 369243.4 | 16 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Waste, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | No | More than 70 percent of global carbon emissions come from cities like Boulder. Hundreds of these cities are measuring GHGemissions to track progress and identify new opportunities to lessen negative climate impacts. Boulder and several other citiesacross the globe have committed to reducing emissions 80 percent or more by 2050.Our progress toward this reduction target is publicly available on our city-wide dashboard, Boulder Measures: https://bouldercolorado.gov/boulder-measures/community-greenhouse-gas-emissions | 108507 | 2017 | {"type"=>"Point", "coordinates"=>[-105.252, 40.0274]} | 2020-05-01T04:02:41.860 | |||||
| 1543 | 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 | 50 | 2020 | 12.5 | The climate target for Oslo was in 2017 adjusted to 36% reduction of total emissions in 1990 by 2020, due to the lack of funding for CCS at our largest waste incineration plant. A 50% reduction target is first attainable after 2022, with CCS. A 12.5 % target achievement is calculated with 2016-statistics in relation to the 50% target. If calculated in regards to the 36% reduction target, Oslo has a 24% target achievement i 2016. | 673469 | 2017 | {"type"=>"Point", "coordinates"=>[10.7522, 59.9139]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1544 | 2019 | 58489 | Hoeje-Taastrup Kommune | Hoeje-Taastrup | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Sources of the target are the same as the inventory. | Same – covers entire city and nothing else | 2012 | 2015 | 307342 | 65 | 2035 | 107570 | 24 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Do not know | Yes | Medium-term objectives, until 2035. That Høje-Taastrup Municipality achieves the governmental objective of a fossil free electricity and heat supply. That the CO2 emission is reduced by about 65% | 50596 | 2018 | {"type"=>"Point", "coordinates"=>[12.2898, 55.6563]} | 2020-05-01T04:02:41.860 | |||||
| 1545 | 2018 | 31113 | City of Yokohama | Yokohama | Japan | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Waste | 2005 | 430000 | 2020 | 94 | 3731096 | 2017 | {"type"=>"Point", "coordinates"=>[139.638, 35.4437]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1546 | 2019 | 50390 | Prefeitura de Teresina | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Other: Capital do Estado do Piauí integrante da RIDE - Região Integrada de Desenvolvimento da Grande Teresina | No target | 797029 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1547 | 2018 | 55322 | Município de Vila Nova de Famalicão | Vila Nova de Famalicão | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-8.7476, 41.381]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1548 | 2019 | 50680 | Município de Cascais | Cascais | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 208122 | 2014 | {"type"=>"Point", "coordinates"=>[-9.42229, 38.697]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1549 | 2018 | 36037 | Santiago de Cali | Santiago de Cali | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-76.532, 3.45164]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1550 | 2019 | 54518 | City of Helsingborg | Helsingborg | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Transport | sustainable travel | Smaller – covers only part of the city | 2018 | 0 | 2050 | Transport | Do not know | Yes | The proportion of sustainable travel within Helsingborg should increase. In Helsingborg city, travels with car is only allowed for 25 % of the total number of travels in 2050. In 2018 the proportion of travels with car was 49%. The target is the same at regional level. | 145415 | 2018 | 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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