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2020 Select Cities Emissions (Q4.6a)
| Row number | Questionnaire Name | Account Number | Account Name | Country | CDP Region | ParentSection | Section | RowNumber | RowName | Direct emissions (metric tonnes CO2e) | If you have no direct emissions to report, please select a notation key to explain why | Indirect 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 why | Emissions 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 why | Please explain any excluded sources, identify any emissions covered under an ETS and provide any other comments |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 501 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 6 | Stationary energy > Fugitive emissions | 522864 | ||||||
| 502 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 9 | Transportation > Rail | 661794 | ||||||
| 503 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 4 | Stationary energy > Industrial buildings & facilities | 1764941 | N/A | 2729990 | ||||
| 504 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 14 | Waste > Solid waste disposal | 1911907 | ||||||
| 505 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 18 | Total Waste | 2160606 | ||||||
| 506 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 2 | Stationary energy > Commercial buildings & facilities | 7638601 | N/A | 7497150 | Institutional emisisons are included in Commercial buildings estimate | |||
| 507 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 1 | Stationary energy > Residential buildings | 12428927 | N/A | 4740527 | Not Estimated | |||
| 508 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 8 | Transportation > On-road | 14906035 | ||||||
| 509 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 13 | Total Transport | 15634334 | ||||||
| 510 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 7 | Total Stationary Energy | 20987171 | 37323001 | |||||
| 511 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 31 | Total Emissions (excluding generation of grid-supplied energy) | 38275608 | ||||||
| 512 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 3 | Stationary energy > Institutional buildings & facilities | N/A | N/A | Institutional emisisons are included in Commercial buildings estimate | ||||
| 513 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 5 | Stationary energy > Agriculture | Not Estimated | Not Estimated | |||||
| 514 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 12 | Transportation > Off-road | |||||||
| 515 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 16 | Waste > Incineration and open burning | |||||||
| 516 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 19 | IPPU > Industrial process | Not Estimated | Not Estimated | Not Estimated | ||||
| 517 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 20 | IPPU > Product use | Not Estimated | Not Estimated | Not Estimated | ||||
| 518 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 21 | Total IPPU | Not Estimated | Not Estimated | Not Estimated | ||||
| 519 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 22 | AFOLU > Livestock | Not Estimated | Not Estimated | Not Estimated | ||||
| 520 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 23 | AFOLU > Land use | Not Estimated | Not Estimated | Not Estimated | ||||
| 521 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 24 | AFOLU > Other AFOLU | Not Estimated | Not Estimated | Not Estimated | ||||
| 522 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 25 | Total AFOLU | Not Estimated | Not Estimated | Not Estimated | ||||
| 523 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 26 | Generation of grid-supplied energy > Electricity-only generation | N/A | 11606969 | N/A | ||||
| 524 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 27 | Generation of grid-supplied energy > CHP generation | Not Estimated | Not Estimated | Not Estimated | ||||
| 525 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 28 | Generation of grid-supplied energy > Heat/cold generation | Not Estimated | 810348 | Not Estimated | Not Estimated | |||
| 526 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 29 | Generation of grid-supplied energy > Local renewable generation | Not Estimated | Not Estimated | Not Estimated | ||||
| 527 | Cities 2020 | 3417 | New York City | United States of America | North America | City-wide Emissions | City-wide GHG Emissions Data | 30 | Total Generation of grid-supplied energy | 12417317 | ||||||
| 528 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 5 | Stationary energy > Agriculture | 0 | Combination of notation keys | 1437.45 | 196.2 | We believe that some of the scope 1 emissions that should be allocated to this subsector may be allocated to road transport. | ||
| 529 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 23 | AFOLU > Land use | 0 | Combination of notation keys | N/A | N/A | The value is negative (-2.735), but the form does not allow us to insert it that way, therefore we added a zero value here. | ||
| 530 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 15 | Waste > Biological treatment | 228 | N/A | Not Occurring | ||||
| 531 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 16 | Waste > Incineration and open burning | 976 | N/A | N/A | Not Occurring | |||
| 532 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 9 | Transportation > Rail | 4600.84 | 33345.84 | 6478.32 | ||||
| 533 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 24 | AFOLU > Other AFOLU | 9013 | N/A | N/A | ||||
| 534 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 22 | AFOLU > Livestock | 14544 | N/A | N/A | ||||
| 535 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 25 | Total AFOLU | 20821 | N/A | N/A | ||||
| 536 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 3 | Stationary energy > Institutional buildings & facilities | 23478.2 | 190457.89 | 25996.3 | Probably 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. | |||
| 537 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 10 | Transportation > Waterborne navigation | 24008.95 | Not Occurring | 774 | Since 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. | |||
| 538 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 20 | IPPU > Product use | 66803 | N/A | N/A | ||||
| 539 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 6 | Stationary energy > Fugitive emissions | 137861 | 0 | Not Occurring | 0 | Not Occurring | ||
| 540 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 2 | Stationary energy > Commercial buildings & facilities | 215926.71 | 627224.63 | 84429.24 | There 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. | |||
| 541 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 17 | Waste > Wastewater | 435935 | N/A | Not Occurring | ||||
| 542 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 14 | Waste > Solid waste disposal | 468300 | N/A | 2339735 | ||||
| 543 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 1 | Stationary energy > Residential buildings | 632453.4 | 562842.87 | 76824.36 | ||||
| 544 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 18 | Total Waste | 905439 | N/A | 2339735 | ||||
| 545 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 11 | Transportation > Aviation | 1358406.96 | Not Occurring | 1311958 | Since 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. | |||
| 546 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 19 | IPPU > Industrial process | 2534147 | N/A | N/A | ||||
| 547 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 21 | Total IPPU | 2600950 | N/A | N/A | ||||
| 548 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4 | Stationary energy > Industrial buildings & facilities | 4200461 | 171007.11 | 23341.39 | In this category are added emissions from two separate subsectors of our inventory: "manufacturing and construction industries" and "energy industries. | |||
| 549 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 8 | Transportation > On-road | 4632389.74 | Not Occurring | Combination of notation keys | Probably 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. | |||
| 550 | Cities 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 26 | Generation of grid-supplied energy > Electricity-only generation | 5774783.21 | Not Occurring | Not Occurring |
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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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