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2020 Select Cities Emissions (Q4.6a)

Row numberQuestionnaire NameAccount NumberAccount NameCountryCDP RegionParentSectionSectionRowNumberRowNameDirect emissions (metric tonnes CO2e)If you have no direct emissions to report, please select a notation key to explain whyIndirect emissions from the use of grid-supplied electricity, heat, steam and/or cooling (metric tonnes CO2e)If you have no indirect emissions to report, please select a notation key to explain whyEmissions occurring outside the city boundary as a result of in-city activities (metric tonnes CO2e)If you have no emissions occurring outside the city boundary to report as a result of in-city activities, please select a notation key to explain whyPlease explain any excluded sources, identify any emissions covered under an ETS and provide any other comments
501Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data6Stationary energy > Fugitive emissions522864
502Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data9Transportation > Rail661794
503Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data4Stationary energy > Industrial buildings & facilities1764941N/A2729990
504Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data14Waste > Solid waste disposal1911907
505Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data18Total Waste2160606
506Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data2Stationary energy > Commercial buildings & facilities7638601N/A7497150Institutional emisisons are included in Commercial buildings estimate
507Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data1Stationary energy > Residential buildings12428927N/A4740527Not Estimated
508Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data8Transportation > On-road14906035
509Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data13Total Transport15634334
510Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data7Total Stationary Energy2098717137323001
511Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data31Total Emissions (excluding generation of grid-supplied energy)38275608
512Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data3Stationary energy > Institutional buildings & facilitiesN/AN/AInstitutional emisisons are included in Commercial buildings estimate
513Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data5Stationary energy > AgricultureNot EstimatedNot Estimated
514Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data12Transportation > Off-road
515Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data16Waste > Incineration and open burning
516Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data19IPPU > Industrial processNot EstimatedNot EstimatedNot Estimated
517Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data20IPPU > Product useNot EstimatedNot EstimatedNot Estimated
518Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data21Total IPPUNot EstimatedNot EstimatedNot Estimated
519Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data22AFOLU > LivestockNot EstimatedNot EstimatedNot Estimated
520Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data23AFOLU > Land useNot EstimatedNot EstimatedNot Estimated
521Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data24AFOLU > Other AFOLUNot EstimatedNot EstimatedNot Estimated
522Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data25Total AFOLUNot EstimatedNot EstimatedNot Estimated
523Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data26Generation of grid-supplied energy > Electricity-only generationN/A11606969N/A
524Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data27Generation of grid-supplied energy > CHP generationNot EstimatedNot EstimatedNot Estimated
525Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data28Generation of grid-supplied energy > Heat/cold generationNot Estimated810348Not EstimatedNot Estimated
526Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data29Generation of grid-supplied energy > Local renewable generationNot EstimatedNot EstimatedNot Estimated
527Cities 20203417New York CityUnited States of AmericaNorth AmericaCity-wide EmissionsCity-wide GHG Emissions Data30Total Generation of grid-supplied energy12417317
528Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data5Stationary energy > Agriculture0Combination of notation keys1437.45196.2We believe that some of the scope 1 emissions that should be allocated to this subsector may be allocated to road transport.
529Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data23AFOLU > Land use0Combination of notation keysN/AN/AThe value is negative (-2.735), but the form does not allow us to insert it that way, therefore we added a zero value here.
530Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data15Waste > Biological treatment228N/ANot Occurring
531Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data16Waste > Incineration and open burning976N/AN/ANot Occurring
532Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data9Transportation > Rail4600.8433345.846478.32
533Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data24AFOLU > Other AFOLU9013N/AN/A
534Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data22AFOLU > Livestock14544N/AN/A
535Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data25Total AFOLU20821N/AN/A
536Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data3Stationary energy > Institutional buildings & facilities23478.2190457.8925996.3Probably there is a small portion of emissions that should be allocated here are allocated in commercial buildings. They refer to the consumption of piped natural gas in institutional buildings, as the distribution company does not disaggregate the data between the commercial and institutional subsectors. However, it is believed that the use of this fuel in this subsector is very low.
537Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data10Transportation > Waterborne navigation24008.95Not Occurring774Since the fuel sales method was used to estimate emissions, the data source separates the consumption of fuels used in waterborne navigation in two categories: waterway transportation and ships in transit. Emissions from the first were allocated in scope 1 and from the second in scope 3.
538Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data20IPPU > Product use66803N/AN/A
539Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data6Stationary energy > Fugitive emissions1378610Not Occurring0Not Occurring
540Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data2Stationary energy > Commercial buildings & facilities215926.71627224.6384429.24There is probably a small share of emissions allocated here that refer to the consumption of natural gas piped in institutional buildings, as the distribution company does not disaggregate the data between the commercial and institutional subsectors. However, it is believed that the use of this fuel in the institutional subsector is very low.
541Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data17Waste > Wastewater435935N/ANot Occurring
542Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data14Waste > Solid waste disposal468300N/A2339735
543Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data1Stationary energy > Residential buildings632453.4562842.8776824.36
544Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data18Total Waste905439N/A2339735
545Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data11Transportation > Aviation1358406.96Not Occurring1311958Since the fuel sales method was used to estimate emissions, the data source separates the consumption of fuels used in aviation in two categories: air transportation (national) and aircrafts in transit (international). Emissions from the first were allocated in scope 1 and from the second in scope 3.
546Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data19IPPU > Industrial process2534147N/AN/A
547Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data21Total IPPU2600950N/AN/A
548Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data4Stationary energy > Industrial buildings & facilities4200461171007.1123341.39In this category are added emissions from two separate subsectors of our inventory: "manufacturing and construction industries" and "energy industries.
549Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data8Transportation > On-road4632389.74Not OccurringCombination of notation keysProbably part of the emissions allocated in scope 1 should be allocated in scope 3, but since the method used was fuel sales method, the estimation of these emissions is difficult.
550Cities 202031176Prefeitura do Rio de JaneiroBrazilLatin AmericaCity-wide EmissionsCity-wide GHG Emissions Data26Generation of grid-supplied energy > Electricity-only generation5774783.21Not OccurringNot Occurring

About

Profile Picture Amy Bills

created May 10 2021

updated May 10 2021

Description

This dataset contains responses to question 4.6a - 'The Global Covenant of Mayors requires committed cities to report their inventories in the format of the new Common Reporting Framework, to encourage standard reporting of emissions data. Please provide a breakdown of your city-wide emissions by sector and sub-sector in the table below. Where emissions data is not available, please use the relevant notation keys to explain the reason why.' - on cities emissions in the 2020 Cities Questionnaire, as disclosed by cities through the CDP-ICLEI Unified Reporting System. The dataset includes data reported by the following cities:
City of Anchorage, City of Athens, City of Berlin, City of Boston, City of Buenos Aires, City of Helsinki, City of Las Vegas, City of Paris, City of San Francisco, City of Stockholm, City of Vancouver, Göteborgs Stad, Greater London Authority, Kyoto, La Paz, Municipalidad de Santiago, New York City, Prefeitura do Rio de Janeiro, Stadt Zürich, The Executive Council, Govt of Dubai, and Ville de Nyon.

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