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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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| 951 | 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 | Waste | Same – covers entire city and nothing else | 218 | 0 | 1 | Commercial buildings, Residential buildings | Yes - 2 °C | Yes | Año base: 2017.Recolección Selectiva y Planta Municipal de acopio y tratamiento de residuos separados. Las reducciones responderían al aumento en la recolección clasificada de residuos por parte de la Municipalidad. Ello disminuiría la cantidad de residuos que se disponen en el relleno sanitario. Para esto, debe considerarse la composición de los residuos domiciliares, la cual, según el estudio de caracterización efectuado por la UNA en el 2015, un 54,8% corresponde a residuos biodegradables, un 10,5% a papel y cartón, un 9,9% a plástico, y en proporciones menores otros tipos de residuos. Para los residuos comerciales, la fracción de biodegradables, papel y cartón representa cada una cerca de un 27%, mientras que el plástico participa en un 15,5%, metales con 2,11%, y otros residuos en otras proporciones menores. Además, según el estudio del BID del 2016, el reciclaje en San José es menor al 1%. Por lo tanto, aumentando la recolección clasificada para la posterior valorización de residuos, se disminuirían las emisiones de metano en los rellenos. Esta acción está fundamentada en el Plan de Acción Climática Municipal / PDM 2017-2020, para lo cual se busca habilitar una planta donde se acopien y traten los residuos recolectados clasificadamente por la Municipalidad. En esta planta se tratarían los residuos orgánicos mediante alguna técnica de compostaje, digestión o tratamiento biológico, y los otros residuos valorizables recibirían algún tratamiento que permita su reaprovechamiento. Para ejecutar esta acción es necesario tomar en cuenta: Cantidad proyectada de residuos a almacenar. Planificación de rutas y horarios de recolección. Equipos y máquinas necesarios para la gestión de residuos.Lugar de construcción y área constructiva de la planta. Planos constructivos, trámites de permisos asociados (CFIA, SETENA, Ministerio de Salud, etc.). Cantidad de personal necesario. Tratamiento por implementar para cada tipo de residuos. Usos potenciales de los residuos tratados. Según el portafolio de acciones de mitigación del sector residuos (PPCNC 2.0), el servicio de recolección puede representar hasta un 60-80% del costo total de la gestión de residuos sólidos municipales. Se requiere información sobre rutas para planificar las recolecciones, definir frecuencias de recolección, consumos de combustible y otros. | 342188 | 2017 | {"type"=>"Point", "coordinates"=>[9.9326, -84.0796]} | 2020-05-01T04:02:41.860 | ||||||||||
| 952 | 2018 | 54102 | City of Albany | Albany | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 2009 | 20 | 2030 | 97856 | 2010 | {"type"=>"Point", "coordinates"=>[-73.7562, 42.6526]} | 2020-05-01T04:02:29.947 | ||||||||||||||||
| 953 | 2018 | 50555 | City of Hamilton | Hamilton | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2006 | 23087326 | 10 | 2012 | Targets achieved in 2011. | 550700 | 2015 | {"type"=>"Point", "coordinates"=>[-79.8661, 43.25]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 954 | 2019 | 826208 | Junta Intermunicipal de Medio Ambiente de Sierra Occidental y Costa (JISOC) | JISOC | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-104.783, 20.517]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 955 | 2019 | 54409 | City of Espoo | Espoo | Finland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Base year emissions (absolute) target | Transport | 2017 | 0 | 2030 | Do not know | The Sustainable Development program of Espoo states that the city aims to have an emission free public transportation system by 2030. | 283632 | 2018 | {"type"=>"Point", "coordinates"=>[24.6559, 60.2055]} | 2020-05-01T04:02:41.860 | |||||||||||||
| 956 | 2019 | 50354 | Alcaldía de Tegucigalpa | Tegucigalpa | Honduras | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 1225043 | 2017 | {"type"=>"Point", "coordinates"=>[-87.2044, 14.1051]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 957 | 2019 | 50674 | Município de Viseu | Viseu | Portugal | Europe | 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 | 2020 | 495030 | 41 | 2030 | 167215 | Public facility, Transport | Do not know | Yes | 99274 | 2017 | {"type"=>"Point", "coordinates"=>[-7.91247, 40.6566]} | 2020-05-01T04:02:41.860 | ||||||||
| 958 | 2018 | 31168 | City District Government Karachi | Karachi | Pakistan | South and West Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[67.1281, 24.9108]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 959 | 2019 | 36512 | Comune di Teramo | Tearmo | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | the Seap of the Municipality of Teramo contains all data and it is available at the following link: http://mycovenant.eumayors.eu/docs/seap/1770_1354190690.pdf | Same – covers entire city and nothing else | 0 | 54586 | 2019 | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 960 | 2019 | 840943 | Prefeitura de Boa Ventura | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | 5751 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 961 | 2019 | 73694 | Chacabuco | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2019 | 293289 | 18 | 2030 | 417007.36 | Commercial buildings, Industrial facilities, Other: Gestión de los 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 Chacabuco 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 Chacabuco 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 Chacabuco/variacion de la población entre 2014 y 2030 de Argentina)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 10,94% en el municipio. Por lo tanto el factor de ajuste resulta de 0,69. Así, el aumento de emisiones proyectado para Chacabuco será del 42,18%.Tomando de base el inventario BÁSICO de Chacabuco del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 417007.36 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, Chacabuco 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, Chacabuco no emitirá más de 341.946,04 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Chacabuco y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 50546 | 2014 | 2020-05-01T04:02:41.860 | |||||||
| 962 | 2019 | 54108 | City of Durham | Durham, NC | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | We include energy and transportation but not waste because we are not able to measure waste from non-residential sources | Larger – covers the whole city and adjoining areas | 2005 | 2007 | 6489581 | 30 | 2030 | 10084260 | 11 | Commercial buildings, Industrial facilities, Residential buildings, Transport | No | No | This is for the entire Durham County community, not just the city boundary, and includes residential/commercial/industrial buildings and transportation. | 271616 | 2018 | {"type"=>"Point", "coordinates"=>[-78.8986, 35.994]} | 2020-05-01T04:02:41.860 | |||||
| 963 | 2019 | 73365 | Town of Ithaca | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Energy | Smaller – covers only part of the city | 2009 | 2011 | 3928 | 30 | 2020 | Other: Streetlights, Public facility, Transport, Water | Yes - 2 °C | No | Reduce carbon dioxide emissions of government operations 30% by 2020 relative to 2009 levels | 20372 | 2017 | 2020-05-01T04:02:41.860 | ||||||||||
| 964 | 2019 | 50562 | City of Chula Vista | Chula Vista | 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 | 2005 | 2005 | 1339993 | 15 | 2020 | 45 | Since our baseline we have had a population increase of 20% | 265070 | 2016 | {"type"=>"Point", "coordinates"=>[-117.084, 32.64]} | 2020-05-01T04:02:41.860 | |||||||||||
| 965 | 2019 | 36282 | Comune di Chieti | Chieti | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | No target | 52125 | 2018 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 966 | 2018 | 54579 | Sekhukhune District Municipality | Sekhukhune District Municipality | South Africa | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[29.974, -24.8335]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 967 | 2019 | 10495 | City of Las Vegas | Las Vegas | 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 | 2020 | 2050 | 80 | 2050 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | No | This is the proposed target within the City's 2050 Master Plan; it has not been approved or adopted, but would be consistent with mitigation and adaptation measures. | 652918 | 2018 | {"type"=>"Point", "coordinates"=>[-115.14, 36.1699]} | 2020-05-01T04:02:41.860 | ||||||||
| 968 | 2019 | 73879 | Roskilde | Roskilde | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | 87542 | 2019 | {"type"=>"Point", "coordinates"=>[12.0878, 55.6419]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 969 | 2019 | 54345 | City Government of Davao | Davao | Philippines | Southeast Asia and Oceania | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[125.625, 7.07475]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||
| 970 | 2019 | 50568 | City of Saskatoon | Saskatoon | 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 | 2014 | 2017 | 3852171 | 80 | 2050 | 3713892 | 0 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | On June 26, 2017, City Council set greenhouse gas reduction targets for Saskatoon based on the City’s 2014 GHG emissions inventory. Including reducing the City of Saskatoon’s Citywide corporate and community emissions by 80% by 2050. | 272200 | 2019 | {"type"=>"Point", "coordinates"=>[-106.67, 52.1332]} | 2020-05-01T04:02:41.860 | ||||||
| 971 | 2019 | 54633 | Prefeitura de Lorena | Lorena | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 88276 | 2018 | {"type"=>"Point", "coordinates"=>[-45.1201, -22.7339]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 972 | 2018 | 60349 | Prefeitura de São Leopoldo | São Leopoldo | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-51.1493, -29.761]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 973 | 2018 | 60340 | Prefeitura de Rio Verde | Rio Verde | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-50.4892, -17.9685]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 974 | 2019 | 61876 | Mazabuka Municipal Council | Mazabuka | Zambia | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 182205 | 2016 | {"type"=>"Point", "coordinates"=>[27.7491, -15.8613]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 975 | 2019 | 50557 | City of Norfolk | Norfolk | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent city | No target | 246256 | 2017 | {"type"=>"Point", "coordinates"=>[38.8468, -76.2851]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 976 | 2018 | 31175 | City of Paris | Paris | France | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Waste | 2004 | 515794 | 100 | 2050 | 13 | The percentage of target achieved so far is calculated on 2014 data | 2265886 | 2015 | {"type"=>"Point", "coordinates"=>[2.35222, 48.8566]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 977 | 2019 | 50559 | City of St Catharines, ON | St Catharines | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2017 | 37 | 2030 | Metric tonnes of CO2e per capita | 17.7 | 100 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | 131400 | 2014 | {"type"=>"Point", "coordinates"=>[-79.2469, 43.1594]} | 2020-05-01T04:02:41.860 | |||||||
| 978 | 2018 | 35863 | eThekwini Municipality | Durban | South Africa | Africa | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Metropolitan area | Absolute target | 38201740 | 2016 | {"type"=>"Point", "coordinates"=>[31.0218, -29.8587]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||
| 979 | 2019 | 54305 | Rajkot Municipal Corporation | India | South and West Asia | 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 | 2015 | 2018 | 1887685 | 14 | 2022 | 263824 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Do not know | No | 1286995 | 2011 | 2020-05-01T04:02:41.860 | ||||||||||
| 980 | 2019 | 35878 | City of Sacramento | Sacramento | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 2005 | 15 | 2020 | 508529 | 2018 | {"type"=>"Point", "coordinates"=>[-121.494, 38.5816]} | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 981 | 2018 | 35268 | City of Boston | Boston | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2005 | 7653810 | 50 | 2030 | 41 | This percent reduction is a tentative estimate, pending final inventory update and release later in 2018. | 672840 | 2016 | {"type"=>"Point", "coordinates"=>[-71.0598, 42.3584]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 982 | 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 | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 2005 | 2008 | 2381745 | 40 | 2020 | 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 - 2 °C | Yes, but it exceeds its scale or requirement | 459300 | 2017 | 2020-05-01T04:02:41.860 | |||||||||
| 983 | 2019 | 43920 | City of Ljubljana | Ljubljana | Slovenia | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | Waste | Zero waste management | Larger – covers the whole city and adjoining areas | 2014 | 2014 | 4590 | 30 | 2025 | 1377 | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | Percentage reduction target and Percentage of target achieved so far is for all action thogether. | 292988 | 2019 | {"type"=>"Point", "coordinates"=>[14.5058, 46.0569]} | 2020-05-01T04:02:41.860 | |||||||
| 984 | 2019 | 36494 | Comune di Padova | Padova | 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 | 20 | 2020 | In addition to the emission-reducing activities mentioned below, the emission-reducing activities on local government level are part of the total reduction aim of 20%. | 211210 | 2017 | {"type"=>"Point", "coordinates"=>[11.8768, 45.4064]} | 2020-05-01T04:02:41.860 | ||||||||||||||
| 985 | 2019 | 54510 | Umeå municipality | Umeå | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | City / Municipality | Baseline scenario (business as usual) target | Other: Stationary energy,Transport,Waste management,Industrial processes and product use (IPPU) | 2010 | 2010 | 100 | 2018 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport | Umea energi has an overall objective to be climate neutral in 2018, Umea energi has a market share of approximately 80% of all heating and electricity in Umea. | 127119 | 2018 | {"type"=>"Point", "coordinates"=>[20.263, 63.8258]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 986 | 2018 | 59678 | City of Evanston, IL | Evanston | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2005 | 1056169 | 28 | 2025 | 89 | 75603 | 2015 | {"type"=>"Point", "coordinates"=>[-87.6898, 42.0669]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 987 | 2018 | 31113 | City of Yokohama | Yokohama | Japan | East Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Other | 2005 | 3680000 | 4 | 2020 | 84 | Energy Industries | 3731096 | 2017 | {"type"=>"Point", "coordinates"=>[139.638, 35.4437]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 988 | 2019 | 36495 | Comune di Piacenza | Piacenza | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 1990 | 20.4 | 2020 | The emission reduction is calculated with respect to the reference scenario (BAU) in 2020.Were considered only CO2 emissions related to the areas of competence of the Municipality of Piacenza. | 103942 | 2018 | {"type"=>"Point", "coordinates"=>[9.69264, 45.052]} | 2020-05-01T04:02:41.860 | |||||||||||||||
| 989 | 2019 | 69824 | Västervik | Västervik Municipality | Sweden | 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 | 2030 | 37106 | 23 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other: Agrisulture, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Over all target: Zero emissions of fossil carbon dioxide emissions by 2030.By 2020, the total emissions of greenhouse gases will have decreased by 40% and emissions of carbon dioxide have decreased by 50% compared to 1990 (within the municipality as a geographical area) | 36680 | 2018 | {"type"=>"Point", "coordinates"=>[16.3484, 57.9587]} | 2020-05-01T04:02:41.860 | ||||||||||
| 990 | 2018 | 36504 | Comune di Rimini | Rimini | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[12.5695, 44.0678]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 991 | 2018 | 60206 | City of Jelgava | Jelgava | Latvia | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | {"type"=>"Point", "coordinates"=>[23.7214, 56.6511]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 992 | 2019 | 58783 | Commune de Bakata | Burkina Faso | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 39308 | 2019 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 993 | 2018 | 60407 | Municipalidad de Colina | Colina | Chile | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-70.684, -33.2043]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 994 | 2018 | 54084 | City of Guelph | Guelph | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2016 | 1156679 | 100 | 2050 | 0 | 131794 | 2016 | {"type"=>"Point", "coordinates"=>[80.25, 43.55]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 995 | 2018 | 31151 | City of Basel-Stadt | Basel | Switzerland | Europe | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Other: Local government area within a city/metropolitian area | Absolute target | Total city-wide emissions | 1990 | 1108030 | 20 | 2020 | 198988 | 2017 | {"type"=>"Point", "coordinates"=>[7.5928, 47.5619]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 996 | 2018 | 54529 | City of Leicester | Leicester | United Kingdom of Great Britain and Northern Ireland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 2388260 | 50 | 2025 | 82 | 349500 | 2016 | {"type"=>"Point", "coordinates"=>[-1.1333, 52.6333]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 997 | 2019 | 54513 | Municipality of Uppsala | Uppsala | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2015 | 1446000 | 100 | 2050 | 0 | 16 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | No | The total emissions of greenhouse gases shall by the year 2050 have decreased with the equivalent of more than 100 %. And since this form does not allow targets exceeding 100 %, we also add our 2070-target: The total emissions of greenhouse gases shall by the year 2070 have decreased by 110 %.That is, from year 2050 emissions should start to get negative, and by 2070 have decreased with the equivalent of 110 %. These targets are communicated as "Climate Positive Uppsala 2050". The national government cannot impose requirements to the self governing municipalities of Sweden, only inspire. | 225164 | 2018 | {"type"=>"Point", "coordinates"=>[17.635, 59.8536]} | 2020-05-01T04:02:41.860 | ||||||
| 998 | 2018 | 35877 | City of Pittsburgh | Pittsburgh | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2003 | 20 | 2025 | In PCAP 1.0 PCI set a target of 20% below 2003 baseline by 2023. We are currently developing more ambitious and specific greenhouse gas reduction targets. | 305704 | 2016 | {"type"=>"Point", "coordinates"=>[-79.9959, 40.4406]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 999 | 2018 | 831433 | Comuna de Ataliva | Ataliva | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[61, 31]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1000 | 2018 | 50549 | City of Fort Worth | Fort Worth | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-97.3308, 32.7555]} | 2020-05-01T04:02:29.947 |
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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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