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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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| 1351 | 2018 | 59156 | City of Grand-Bassam | Grand-Bassam | Côte d'Ivoire | Africa | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-3.7537, 5.2259]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1352 | 2019 | 35872 | Municipality of Recife | Recife | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Baseline scenario (business as usual) target | All emissions sources included in city inventory | 2012 | 2016 | 3120425 | 24.6 | 2030 | 5776965 | 1637834 | 2018 | {"type"=>"Point", "coordinates"=>[-34.8829, -8.05783]} | 2020-05-01T04:02:41.860 | ||||||||||||
| 1353 | 2018 | 59168 | Commune de Dioudoubou | Dioudoubou | Senegal | Africa | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | {"type"=>"Point", "coordinates"=>[-15.4789, 12.7095]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1354 | 2019 | 54119 | City of Palo Alto | Palo Alto | 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 | 2016 | 765920 | 80 | 2030 | 153184 | 56.5 | Commercial buildings, Energy industry, Heating and cooling supply, Public facility, Residential buildings, Transport, Water | Do not know | Yes, but it exceeds its scale or requirement | In April 2016, Palo Alto City Council unanimously adopted a goal of 80 percent greenhouse gas reduction by 2030, calculated utilizing the 1990 baseline. This ambitious goal is 20 years ahead of the State of California’s 80 percent by 2050 target. | 67082 | 2018 | {"type"=>"Point", "coordinates"=>[-122.143, 37.4419]} | 2020-05-01T04:02:41.860 | ||||||
| 1355 | 2019 | 840918 | Prefeitura de Pilões | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | 2020-05-01T04:02:41.860 | |||||||||||||||||||||||||
| 1356 | 2018 | 59538 | City of Mississauga | Mississauga | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 7549508 | 80 | 2050 | 12.5 | This target will be approved as part of the Climate Change Action Plan | 721599 | 2016 | {"type"=>"Point", "coordinates"=>[43.589, -79.6441]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1357 | 2019 | 60656 | City of Piedmont, CA | Piedmont | 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 | Larger – covers the whole city and adjoining areas | 2005 | 2018 | 48820 | 33 | 2030 | 32557 | 66 | Commercial buildings, Energy industry, Heating and cooling supply, Residential buildings, Transport, Water | According to the NDC website, the United States intends to achieve an economy-wide target of reducing its greenhouse gas emissions by 26%-28% below its 2005 level in 2025 and to make best efforts to reduce its emissions by 28%. The City's target is more ambitions. The City's goals are consistent with the State's goals. The methodology used was from the Global Protocol for Community-Scale Greenhouse Gas Inventories, developed by the World Resources Institute, c40 Cities Climate Leadership Group (C40) and ICLEI (Local Governments for Sustainability). | No | Do not know | According to the NDC website, the United States intends to achieve an economy-wide target of reducing its greenhouse gas emissions by 26%-28% below its 2005 level in 2025 and to make best efforts to reduce its emissions by 28%. The City's target is more ambitions. The City's goals are consistent with the State's goals. | 11378 | 2017 | {"type"=>"Point", "coordinates"=>[-122.232, 37.8244]} | 2020-05-01T04:02:41.860 | |||||
| 1358 | 2018 | 70017 | Alcaldia de Palmira | Palmira | Colombia | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-76.3036, 3.53944]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1359 | 2018 | 54510 | Umeå municipality | Umeå | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities, WWF | public | {"type"=>"Point", "coordinates"=>[20.263, 63.8258]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1360 | 2018 | 31180 | Región Metropolitana de Santiago | Santiago | Chile | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-70.6693, -33.4489]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1361 | 2018 | 31181 | City of Philadelphia | Philadelphia | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2006 | 21067224 | 80 | 2050 | 11 | 1559938 | 2016 | {"type"=>"Point", "coordinates"=>[-75.1638, 39.9523]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1362 | 2018 | 55372 | Prefeitura Municipal de Canoas | Canoas | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-51.1862, -29.9133]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1363 | 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 | 83 | 2050 | 508529 | 2018 | {"type"=>"Point", "coordinates"=>[-121.494, 38.5816]} | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 1364 | 2018 | 54637 | Alcaldía de Cuenca | Cuenca | Ecuador | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Waste | 2017 | 60000 | Planta de biogas | 505585 | 2010 | {"type"=>"Point", "coordinates"=>[-79.0048, -2.90841]} | 2020-05-01T04:02:29.947 | |||||||||||||||
| 1365 | 2019 | 35755 | Village of Kadiovacik | Urla | Turkey | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Local government area within a city / metropolitan area | Fixed level target | Other: PV panels are installed and trees has been planted to trade off. Therefore general emission has been set to ZERO. | Same – covers entire city and nothing else | 1 | 232 | 2017 | {"type"=>"Point", "coordinates"=>[26.5536, 38.3434]} | 2020-05-01T04:02:41.860 | ||||||||||||||||
| 1366 | 2018 | 57505 | Alcaldía de Panamá | Panamá | Panama | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2013 | 9153301 | 30 | 2050 | 1162659 | 2017 | {"type"=>"Point", "coordinates"=>[-79.5552, 9.11862]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1367 | 2019 | 53829 | City of Kingston, ON | Kingston | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 124000 | 2016 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 1368 | 2018 | 58636 | City of Bellingham, WA | Bellingham | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-122.479, 48.7519]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1369 | 2018 | 54100 | City of Columbia, MO | Columbia, MO | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-92.3341, 38.9517]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1370 | 2018 | 58868 | Regional Municipality of Durham | Durham | Canada | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2050 | 776 | 80 | 2050 | 0 | 673070 | 2017 | {"type"=>"Point", "coordinates"=>[-78.9288, 43.9368]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1371 | 2019 | 60409 | Municipalidad Provincial de Callao | Peru | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | Province / County | No target | 994494 | 217 | 2020-05-01T04:02:41.860 | |||||||||||||||||||||
| 1372 | 2018 | 58797 | Hørsholm Kommune | Hørsholm | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2010 | 165372 | 40 | 2050 | 25 | 25 % reduction achieved in year 2013. | 24856 | 2015 | {"type"=>"Point", "coordinates"=>[12.5049, 55.8835]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1373 | 2018 | 3417 | New York City | New York City | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2005 | 61060000 | 80 | 2050 | 19 | 8537673 | 2016 | {"type"=>"Point", "coordinates"=>[-74.0059, 40.7128]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1374 | 2018 | 36279 | Comune di Cremona | Cremona | Italy | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[10.023, 45.1405]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1375 | 2019 | 54488 | Trondheim Municipality | Trondheim | Norway | 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 | 1991 | 2017 | 482000 | 10 | 2020 | 0 | Commercial buildings, Heating and cooling supply, Industrial facilities, Other, Public facility, Residential buildings, Transport | Do not know | Yes | 196000 | 2019 | {"type"=>"Point", "coordinates"=>[10.395, 63.4305]} | 2020-05-01T04:02:41.860 | ||||||||
| 1376 | 2019 | 59180 | Middelfart Kommune | Middelfart | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | 2010 | 362234 | 50 | 2025 | 38211 | 2018 | {"type"=>"Point", "coordinates"=>[9.87264, 55.471]} | 2020-05-01T04:02:41.860 | ||||||||||||||
| 1377 | 2018 | 60356 | Prefeitura de Tupã | Tupã | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-50.5196, -21.934]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1378 | 2018 | 74414 | Boulder County | Boulder County | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | County | Absolute target | Total city-wide emissions | 2005 | 5021236 | 90 | 2050 | 322226 | 2016 | {"type"=>"Point", "coordinates"=>[-105.5, 40.15]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1379 | 2019 | 43940 | Malmö Stad | Malmö | Sweden | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2009 | 1460000 | 40 | 2020 | 876000 | 36 | Commercial buildings, Energy industry, Heating and cooling supply, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes | This target align with national emission targets in Sweden. | 338369 | 2018 | {"type"=>"Point", "coordinates"=>[13.0038, 55.605]} | 2020-05-01T04:02:41.860 | ||||||
| 1380 | 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 | 2008 | 23087326 | 20 | 2020 | 18469860.8 | 100 | Commercial buildings, Industrial facilities, Public facility, Residential buildings, Transport, Water | Yes - 2 °C | Yes, but it exceeds its scale or requirement | Reduce 2006 emissions by 20% by 2020. | 558397 | 2017 | {"type"=>"Point", "coordinates"=>[-79.8661, 43.25]} | 2020-05-01T04:02:41.860 | ||||||
| 1381 | 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 | 80 | 2050 | New targets set in 2013 by Council. | 550700 | 2015 | {"type"=>"Point", "coordinates"=>[-79.8661, 43.25]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1382 | 2019 | 31153 | City of Berlin | Berlin | Germany | Europe | C40, 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 | 1990 | 2016 | 29300000 | 40 | 2020 | 17700000 | 80 | Yes - 2 °C | Target as laid down in the Berlin Energy Turnaround Act. It only stipulates CO2 emissions, as 98% of all THG emissions in Berlin are CO2 emissions. | 3644998 | 2018 | {"type"=>"Point", "coordinates"=>[13.405, 52.52]} | 2020-05-01T04:02:41.860 | ||||||||
| 1383 | 2018 | 35915 | City of Jaipur | Jaipur | India | South and West Asia | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[75.7873, 26.9124]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1384 | 2019 | 59160 | Ville de Nyon | Nyon | Switzerland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year intensity target | Energy | Same – covers entire city and nothing else | 2016 | 2017 | 46 | 2030 | 46350 | Metric tonnes of CO2e per capita | 3 | Commercial buildings, Heating and cooling supply, Public facility, Residential buildings | Yes | L'objectif correspond aux performances d'un scénario exploratoire territorialisé à cet horizon temporel. L’ampleur des nouvelles surfaces bâties prévues à cette échéance explique le décalage, enconsommations absolues, entre les objectifs visés pour le territoire communal à 2030 et ceux de la CDN. | 21211 | 2019 | {"type"=>"Point", "coordinates"=>[6.23478, 46.3833]} | 2020-05-01T04:02:41.860 | |||||||
| 1385 | 2018 | 31090 | District of Columbia | Washington, DC | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | Federal district | Absolute target | Total city-wide emissions | 2006 | 10535018 | 100 | 2050 | 29 | In December 2017, Mayor Bowser increased this goal to carbon neutrality, up from 80% reduction by 2050 | 693972 | 2017 | {"type"=>"Point", "coordinates"=>[-77.0369, 38.9072]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1386 | 2019 | 10894 | City of Los Angeles | Los Angeles | United States of America | North America | C40, 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 | 2015 | 25 | Commercial buildings, Energy industry, Industrial facilities, Other: Waste, Public facility, Residential buildings, Transport | Yes - 1.5 °C | Target is based on scenario modelling that was determined to be consistent with a 1.5C pathway, per C40 climate action planning guidelines for cities. Compliance with C40 guidelines was assessed with an independent review. | 4021488 | 2017 | {"type"=>"Point", "coordinates"=>[-118.244, 34.0522]} | 2020-05-01T04:02:41.860 | |||||||||||
| 1387 | 2018 | 31176 | Prefeitura do Rio de Janeiro | Rio de Janeiro | Brazil | Latin America | C40, CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | Absolute target | Total city-wide emissions | 2005 | 11402180 | 20 | 2020 | Target established in the municipal law that created the "Municipal Climate Change and Sustainable Development Policy" (5428/2011). | 6520266 | 2017 | {"type"=>"Point", "coordinates"=>[-43.5614, -22.9054]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1388 | 2018 | 58610 | Municipality of Hjørring | Hjørring | Denmark | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | {"type"=>"Point", "coordinates"=>[9.9958, 57.4568]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||
| 1389 | 2019 | 73732 | Monte Buey | Argentina | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Baseline scenario (business as usual) target | Other: Energía, Transporte y Desechos | Se toman a consideración las fuentes de emisión clasificadas en el inventario como básicas (siguiendo el estándar GPC). El nivel BASIC (básico) cubre las fuentes de emisión que se producen en casi todas las ciudades (energía estacionaria, transporte dentro de los límites y desechos generados en la ciudad), donde las metodologías y datos de cálculo están fácilmente disponibles. Se corresponde a un marco de reporte inducido por la ciudad. En detalle, las emisiones cubiertas son: - Energía Estacionaria, alcances 1 y 2 - Transporte, alcance 1 (se utiliza el método de venta de combustible) y 2- Residuos, alcance 1 y 3Se decidió no incorporar las emisiones de agricultura y ganadería y las emisiones de alcance 3 de energía estacionaria (incluidas en el inventario) ya que sobre estas, los gobiernos locales no tienen capacidad de realizar acciones concretas para mitigarlas. Se incluyeron sólo aquellas que pueden ser gestionados más fácilmente a escala local. | Same – covers entire city and nothing else | 2014 | 2018 | 42433.4 | 18 | 2030 | 81624.11 | Commercial buildings, Industrial facilities, Other: Residuos, Public facility, Residential buildings, Transport | Durante el 2014 en Argentina se emitieron 368 millones de toneladas de dióxido de carbono equivalente (MtCO2e). Por otro lado, las emisiones proyectadas al año 2030 bajo el escenario BAU ascienden a 592 MtCO2e. De esta forma, el aumento porcentual relativo de emisiones proyectado para el 2030 es del 60,87%. Este aumento será considerado para la preparación del escenario BAU de Monte Buey 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 Monte Buey se realizó un ajuste considerando las tasas de aumento poblacional. El factor de ajuste es equivalente a la relación entre la variación poblacional en el período 2014-2030 a nivel nacional y local.𝐹𝑎𝑐𝑡𝑜𝑟 𝑑𝑒 𝑎𝑗𝑢𝑠𝑡𝑒 = (𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝑀𝑜𝑛𝑡𝑒 𝐵𝑢𝑒𝑦)/(𝑣𝑎𝑟𝑖𝑎𝑐𝑖ó𝑛 𝑝𝑜𝑏𝑙𝑎𝑐𝑖ó𝑛 2014 − 2030 𝐴𝑟𝑔𝑒𝑛𝑡𝑖𝑛𝑎)El INDEC estima que durante este tiempo la población argentina aumentará un 15,79%8 y un 23,96%9 en el municipio. Por lo tanto el factor de ajuste resulta de 1,52. Así, el aumento de emisiones proyectado para Monte Buey será del 92.36%. Aumento de emisiones en 𝑀𝑜𝑛𝑡𝑒 𝐵𝑢𝑒𝑦 2014 − 2030 (%) = 60,87% ∗ 1,52= 92,36% Tomando de base el inventario BÁSICO de Monte Buey del 2014, las emisiones proyectadas bajo el escenario tendencial al 2030 serán de 81.624,11 tCO2e. 𝐸𝑚𝑖𝑠𝑖𝑜𝑛𝑒𝑠 𝑀𝑜𝑛𝑡𝑒 𝐵𝑢𝑒𝑦 𝑎𝑙 2030 (𝑡𝐶𝑂2𝑒) = 42.433,40 𝑡𝐶𝑂2𝑒 ∗ 1,9236 = 81.624,11 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, Monte Buey 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, Monte Buey no emitirá más de 66.931,77 tCO2e. | Do not know | No | Se espera que la reducción de emisiones propuesta por Monte Buey y las medidas que se desarrollen para su concreción, se sumen a los esfuerzos nacionales. | 6285 | 2010 | 2020-05-01T04:02:41.860 | |||||||
| 1390 | 2019 | 54402 | City of Lahti | Lahti | Finland | Europe | CDP Cities, ICLEI - Local Governments for Sustainability, Union of the Baltic Cities | public | City / Municipality | Base year emissions (absolute) target | All emissions sources included in city inventory | Same – covers entire city and nothing else | 1990 | 2019 | 1174000 | 80 | 2025 | 235000 | 41 | Energy industry, Heating and cooling supply, Transport | Yes - 1.5 °C | Yes, but it exceeds its scale or requirement | In the City strategy 2018 said: -70% by 2030 (from 1990 level). However, the emissions are lowering faster phase than anticipated, so the City Board made decision 6/2019 that the reduction should be -80% by 2025. With compensationing and trade-offs this means carbon neutrality. Finland national climate target will be tighned but it will Still be lower than Lahti target. | 120028 | 2019 | {"type"=>"Point", "coordinates"=>[25.65, 60.9833]} | 2020-05-01T04:02:41.860 | ||||||
| 1391 | 2019 | 834300 | Municipality of Villanueva | Guatemala | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 1200000 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||||
| 1392 | 2018 | 53921 | City of Tempe, AZ | Tempe | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[-111.94, 33.4255]} | 2020-05-01T04:02:29.947 | |||||||||||||||||||||||
| 1393 | 2018 | 31177 | Salt Lake City | Salt Lake City | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2009 | 4943904 | 80 | 2040 | 193744 | 2016 | {"type"=>"Point", "coordinates"=>[-111.891, 40.7608]} | 2020-05-01T04:02:29.947 | ||||||||||||||
| 1394 | 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 | Waste | Same – covers entire city and nothing else | 2016 | 2020 | 179710.63 | 28.8 | 2060 | 127953.97 | 0 | Other: Disposição e tratamento de efluentes domésticos. | 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 | ||||||
| 1395 | 2018 | 3417 | New York City | New York City | United States of America | North America | C40, CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 2005 | 61060000 | 40 | 2030 | 38 | 8537673 | 2016 | {"type"=>"Point", "coordinates"=>[-74.0059, 40.7128]} | 2020-05-01T04:02:29.947 | |||||||||||||
| 1396 | 2019 | 60258 | Prefeitura de Brusque | Brusque | Brazil | Latin America | CDP Cities, ICLEI - Local Governments for Sustainability, WWF | public | City / Municipality | No target | 128818 | 2017 | {"type"=>"Point", "coordinates"=>[-48.9207, -27.0936]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1397 | 2019 | 35274 | City of Portland, ME | Portland, ME | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Fixed level target | 66937 | 2017 | {"type"=>"Point", "coordinates"=>[-70.2553, 43.6615]} | 2020-05-01T04:02:41.860 | |||||||||||||||||||
| 1398 | 2019 | 49172 | City of St. Petersburg | St. Petersburg | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Base year emissions (absolute) target | 266000 | 2017 | 2020-05-01T04:02:41.860 | ||||||||||||||||||||
| 1399 | 2018 | 43930 | The Hague | The Hague | Netherlands | Europe | CDP Cities, ICLEI - Local Governments for Sustainability | public | City / Municipality | Absolute target | Total city-wide emissions | 1990 | 2499000 | 100 | 2030 | 31 | CO2 emission in 2015: 1,714,937 | 525745 | 2017 | {"type"=>"Point", "coordinates"=>[4.3007, 52.0705]} | 2020-05-01T04:02:29.947 | ||||||||||||
| 1400 | 2018 | 49339 | City and County of Honolulu | Honolulu | United States of America | North America | CDP Cities, ICLEI - Local Governments for Sustainability | public | {"type"=>"Point", "coordinates"=>[157.59, 21.28]} | 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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