Go back to the interactive dataset
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1451 | 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 | |||||||
| 1452 | 2018 | 56276 | New Taipei City Government | New Taipei | Taiwan, Greater China | East Asia | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Waste | 2005 | 510068 | 25 | 2030 | 3986689 | 2017 | {"type"=>"Point", "coordinates"=>[121.446, 25.0111]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1453 | 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 | |||||||
| 1454 | 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 | |||||||
| 1455 | 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 | |||||||||||||||||||||
| 1456 | 2018 | 35883 | City of San José | San José, CA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2014 | 6900000 | 88 | 2050 | 0 | See page 65 of the Climate Smart San José plan at http://www.sanjoseca.gov/DocumentCenter/View/75035 | 1046079 | 2017 | {"type"=>"Point", "coordinates"=>[-121.886, 37.3382]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1457 | 2018 | 31170 | Metropolitan Municipality of Lima | Lima | Peru | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-77.0283, -12.0433]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1458 | 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 | |||||||||||||||||||
| 1459 | 2018 | 59588 | Town of Chapel Hill, NC | Chapel Hill | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-79.0558, 35.9132]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1460 | 2018 | 35907 | Bangalore | Bangalore | India | South and West Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[77.5946, 12.9716]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1461 | 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 | ||||||
| 1462 | 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 | ||||||||||||||||
| 1463 | 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 | ||||||||
| 1464 | 2018 | 55442 | Município de Moita | Moita | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 2008 | 20 | 2020 | 66029 | 2011 | {"type"=>"Point", "coordinates"=>[-8.65731, 41.3028]} | 2020-05-01T04:02:29.947 | ||||||||||||||||
| 1465 | 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 | |||||||||||||||
| 1466 | 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 | |||||||||||||||||||
| 1467 | 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 | ||||||||
| 1468 | 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 | |||||||||||||||||||
| 1469 | 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 | |||||||||
| 1470 | 2018 | 54672 | Prefeitura Municipal de Araraquara | Araraquara | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | 230.77 | 2017 | {"type"=>"Point", "coordinates"=>[-48.1766, -21.7946]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||
| 1471 | 2018 | 54026 | City of Tacoma | Tacoma | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2000 | 1658939 | 80 | 2050 | 28 | 211277 | 2016 | {"type"=>"Point", "coordinates"=>[-122.444, 47.2529]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1472 | 2018 | 50375 | Ayuntamiento de Chihuahua | Chihuahua | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-106.076, 28.6368]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1473 | 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 | |||||||||||||||||||||||
| 1474 | 2018 | 60271 | Prefeitura de Bertioga | Bertioga | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-46.0599, -23.8081]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1475 | 2018 | 49787 | City of Benicia | Benicia | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2000 | 10 | 2020 | 27780 | 2016 | {"type"=>"Point", "coordinates"=>[-122.159, 38.0494]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 1476 | 2018 | 1093 | City of Atlanta | Atlanta | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Waste | 2009 | 29000 | 80 | 2020 | Reevaluation of recycling curbing and educational programs with public and private sector | 450182 | 2017 | {"type"=>"Point", "coordinates"=>[-84.388, 33.749]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1477 | 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 | |||||||
| 1478 | 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 | |||||||||||
| 1479 | 2019 | 73707 | Totoras | 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 | 51115.51 | 18 | 2030 | 83313.29 | Commercial buildings, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e . De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%.Este aumento será considerado para la preparación del escenario BAU de Totoras 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 Totoras 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.El INDEC estima que durante este tiempo la población argentina aumentará un 15,79% y un 16,34% en el municipio. Por lo tanto el factor de ajuste resulta de 1,03. Así, el aumento de emisiones proyectado para Totoras será del 62,98%.Tomando de base el inventario BÁSICO de Totoras del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 83.313,29 tCO2e.Tomando como referencia la meta de reducción de emisiones presentada por el país y acorde a lo establecido en el Pacto Global de Alcaldes por el Clima y la Energía, Totoras se compromete a reducir sus emisiones de gases de efecto invernadero en al menos un 18% respecto al escenario BAU al 2030, considerando las fuentes de emisión del alcance BÁSICO. De esta forma, en 2030, Totoras no emitirá más de 68.316,90 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Totoras y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 10292 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 1480 | 2019 | 58627 | City of Alton, IL | Alton | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 26581 | 2015 | {"type"=>"Point", "coordinates"=>[-90.1843, 38.8906]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1481 | 2019 | 63616 | Abasan Al-Kabira Municipality | Abasan Al-Kabira | State of Palestine | Middle East | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Base year emissions (absolute) target | Energy | Same – covers entire city and nothing else | 2010 | 2020 | 18320 | 19 | 2020 | Public facility, Residential buildings, Water | Yes - 1.5 °C | Yes | 31000 | 2017 | {"type"=>"Point", "coordinates"=>[34.344, 31.3231]} | 2020-05-01T04:02:41.860 | |||||||||
| 1482 | 2019 | 53921 | City of Tempe, AZ | Tempe | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 175826 | 2015 | {"type"=>"Point", "coordinates"=>[-111.94, 33.4255]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1483 | 2018 | 35393 | City of St Louis | St Louis | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | Independent city | Absolute target | Total city-wide emissions | 2005 | 8081418 | 80 | 2050 | 11 | 319294 | 2010 | {"type"=>"Point", "coordinates"=>[-90.1994, 38.627]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1484 | 2019 | 73693 | City of La Rioja | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 180995 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1485 | 2018 | 71557 | Quelimane Municipal Council | Quelimane | Mozambique | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[36.9218, -17.8503]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1486 | 2019 | 59151 | City of Akureyri | Akureyri | Iceland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 18925 | 2018 | {"type"=>"Point", "coordinates"=>[-18.1262, 65.6885]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1487 | 2019 | 839648 | Ayuntamiento Victoria | Mexico | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 19820 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1488 | 2019 | 3429 | City of Stockholm | Stockholm | Sweden | 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 | 1990 | 2015 | 3668000 | 100 | 2040 | 0 | 50 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport, Water | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | The city's target is to become fossil free by 2040 which is interpreted as net zero emissions. This target aligns with and exceeds the national target of net zero emissions by 2045. Carbon neutrality is planned to be achieved using local carbon sinks such as biochar production and BECCS connected to bio-CHP. Compensation is needed for emissions caused by residual plastic in incinerated waste, international shipping and LCA emissions from biofuels. | 949761 | 2017 | {"type"=>"Point", "coordinates"=>[18.0686, 59.3293]} | 2020-05-01T04:02:41.860 | ||||||
| 1489 | 2019 | 59552 | City of Davis, CA | Davis, CA | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 2010 | 100 | 2050 | 68111 | 2016 | {"type"=>"Point", "coordinates"=>[-121.741, 38.5449]} | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 1490 | 2019 | 44185 | Suwon City | Suwon | Republic of Korea | East 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 | 2005 | 2012 | 5850358 | 25 | 2030 | 4387768 | 8 | As a result of the greenhouse gas inventory construction in 2016, total emissions decreased by 1.9% and per capita emissions by 21.7% compared with 2005. | 1242212 | 2018 | {"type"=>"Point", "coordinates"=>[126.805, 37.17]} | 2020-05-01T04:02:41.860 | |||||||||
| 1491 | 2019 | 35915 | City of Jaipur | Jaipur | India | South and West Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | No target | 3046163 | 2011 | {"type"=>"Point", "coordinates"=>[75.7873, 26.9124]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1492 | 2018 | 50665 | Município de Ovar | Ovar | Portugal | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-8.59723, 40.8901]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1493 | 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 | Transport | Same – covers entire city and nothing else | 2016 | 2020 | 1879651.06 | 21.2 | 2040 | 1481165.04 | 0 | Transport | 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 | ||||||
| 1494 | 2019 | 73686 | Los Molles | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | 732 | 2010 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1495 | 2018 | 58796 | Odder Kommune | Odder | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[10.15, 55.9757]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1496 | 2019 | 43932 | Auckland Council | Auckland | New Zealand | Southeast Asia and Oceania | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2012 | 8478656 | 50 | 2050 | 4239328 | Do not know | No | 1614400 | 2016 | {"type"=>"Point", "coordinates"=>[174.742, -36.8153]} | 2020-05-01T04:02:41.860 | |||||||||
| 1497 | 2019 | 54084 | City of Guelph | Guelph | Canada | 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 | 1156679 | 100 | 2050 | 0 | 131794 | 2016 | {"type"=>"Point", "coordinates"=>[80.25, 43.55]} | 2020-05-01T04:02:41.860 | |||||||||||
| 1498 | 2018 | 54649 | Prefeitura de Tatuí | Tatuí | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-47.8466, -23.3492]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1499 | 2019 | 54617 | Alcaldia de Pereira | Pereira | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 472000 | 2019 | {"type"=>"Point", "coordinates"=>[-75.6906, 4.80871]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1500 | 2018 | 74569 | King County, WA | King County | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | County | Absolute target | Total city-wide emissions | 2007 | 20100000 | 50 | 2030 | 2015, increase +1.15% from baseline | 2188649 | 2017 | {"type"=>"Point", "coordinates"=>[121.984, 47.548]} | 2020-05-01T04:02:29.947 |
About
This information is now on Primer
All the information that is in this pane, and more, is now on Primer, in a more consumable and user friendly format. You can also edit metadata from this page.
Take me there!
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.
Activity
- Community Rating
-
Current value: 0 out of 5
- Raters
- 0
- Visits
- 461
- Downloads
- 106
- Comments
- 0
- Contributors
- 0
Meta
- Category
- Emissions
- Permissions
- Public
- Tags
- emissions, 2018, 2019, cities
- Row Label
- SODA2 Only
- Yes
Licensing and Attribution
- Data Provided By
- (none)
- Source Link
- (none)
License Type
- License Type
- CDP Open Database License
