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2020 Full Cities Dataset for Excel - Latin America
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| Row number | Questionnaire | Year Reported to CDP | Account Number | Organization | Country | CDP Region | Parent Section | Section | Question Number | Question Name | Column Number | Column Name | Row Number | Row Name | Response Answer | Comments | File Name | Last update |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 157401 | Cities 2020 | 2020 | 50385 | Prefeitura de Campo Grande | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4.8 | Please indicate if your city-wide emissions have increased, decreased, or stayed the same since your last emissions inventory, and describe why. | 2 | Primary reason for change | 1 | Please explain | Question not applicable | 07/16/2021 01:47:15 | ||
| 157402 | Cities 2020 | 2020 | 50356 | Ayuntamiento de Morelia | Mexico | Latin America | Opportunities | Finance and Economic Opportunities | 6.5 | List any mitigation, adaptation, water related or resilience projects you have planned within your city for which you hope to attract financing and provide details on the estimated costs and status of the project. If your city does not have any relevant projects, please select 'No relevant projects' under 'Project Area'. | 3 | Stage of project development | 1 | Transaction preparation | 07/16/2021 01:47:15 | |||
| 157403 | Cities 2020 | 2020 | 826210 | Junta Intermunicipal de Medio Ambiente de la Costa Sur (JICOSUR) | Mexico | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 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. | 1 | Direct emissions (metric tonnes CO2e) | 24 | AFOLU > Other AFOLU | Question not applicable | 07/16/2021 01:47:15 | ||
| 157404 | Cities 2020 | 2020 | 31176 | Prefeitura do Rio de Janeiro | Brazil | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1 | Please list the most significant climate hazards faced by your city and indicate the probability and consequence of these hazards, as well as the expected future change in frequency and intensity. Please also select the most relevant assets or services that are affected by the climate hazard and provide a description of the impact. | 7 | Please identify which vulnerable populations are affected | 10 | Children & youth | 07/16/2021 01:47:15 | |||
| 157405 | Cities 2020 | 2020 | 848407 | Junta Intermunicipal de Medio Ambiente del Ayuquila Alto | Mexico | Latin America | Emissions Reduction | Mitigation Actions | 5.4 | Describe the anticipated outcomes of the most impactful mitigation actions your city is currently undertaking; the total cost of the action and how much is being funded by the local government. | 9 | Co-benefit area | 1 | 07/16/2021 01:47:15 | ||||
| 157406 | Cities 2020 | 2020 | 848964 | Presidencia Roque Sáenz Peña | Argentina | Latin America | Transport | 10.6 | How many buses has your city procured in the last year? | 2 | Comment | 7 | Diesel | Question not applicable | 07/16/2021 01:47:15 | |||
| 157407 | Cities 2020 | 2020 | 50358 | Gobierno Municipal de Toluca de Lerdo | Mexico | Latin America | Governance and Data Management | Governance | 1.0a | Please detail which goals and targets are incorporated in your city’s master plan and describe how these goals are addressed in the table below. | 2 | How are these goals/targets addressed in the city master plan? | 6 | Objetivo 3.2. Brindar servicios públicos adecuados, seguros y asequibles entodo el municipio (Estrategia 3.2.2. Mejorar la recolección deresiduos sólidos.). | 07/16/2021 01:47:15 | |||
| 157408 | Cities 2020 | 2020 | 826201 | Ayuntamiento de Zapopan | Mexico | Latin America | Emissions Reduction | Mitigation Actions | 5.4 | Describe the anticipated outcomes of the most impactful mitigation actions your city is currently undertaking; the total cost of the action and how much is being funded by the local government. | 4 | Implementation status | 6 | Pre-implementation | 07/16/2021 01:47:15 | |||
| 157409 | Cities 2020 | 2020 | 73701 | San Carlos Sud | Argentina | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4.6b | Please provide a summary of emissions by sector and scope as defined in the Global Protocol for Community Greenhouse Gas Emissions Inventories (GPC) in the table below. | 1 | Emissions (metric tonnes CO2e) | 11 | Industrial Processes and Product Use – Scope 1 (IV) | Question not applicable | 07/16/2021 01:47:15 | ||
| 157410 | Cities 2020 | 2020 | 60392 | Municipalidad de San Isidro (Lima) | Peru | Latin America | Transport | 10.6 | How many buses has your city procured in the last year? | 1 | Number of buses | 1 | Total number of buses | Question not applicable | 07/16/2021 01:47:15 | |||
| 157411 | Cities 2020 | 2020 | 60258 | Prefeitura de Brusque | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4.6c | Please provide a breakdown of your GHG emissions by scope. Where values are not available, please use the comment field to indicate the reason why. | 1 | Scope 1 emissions excluding emissions from grid-supplied energy generation | 1 | City-wide emissions | Question not applicable | 07/16/2021 01:47:15 | ||
| 157412 | Cities 2020 | 2020 | 849039 | Ceres (Argentina) | Argentina | Latin America | Energy | 8.0a | Please provide details of your renewable energy or electricity target(s) and how the city plans to meet those targets. | 8 | Total renewable energy / electricity covered by target in target year (in unit specified in column 3: energy/electricity types covered by target) | 0 | Question not applicable | 07/16/2021 01:47:15 | ||||
| 157413 | Cities 2020 | 2020 | 849041 | Gualeguaychú | Argentina | Latin America | Adaptation | Adaptation Actions | 3.0 | Please describe the main actions you are taking to reduce the risk to, and vulnerability of, your city’s infrastructure, services, citizens, and businesses from climate change as identified in the Climate Hazards section. | 6 | Co-benefit area | 0 | 07/16/2021 01:47:15 | ||||
| 157414 | Cities 2020 | 2020 | 68383 | Prefeitura de Itatiba | Brazil | Latin America | Transport | 10.6 | How many buses has your city procured in the last year? | 2 | Comment | 2 | Electric buses | Question not applicable | 07/16/2021 01:47:15 | |||
| 157415 | Cities 2020 | 2020 | 54700 | Prefeitura Municipal de Sumaré | Brazil | Latin America | Local Government Emissions | Local Government Operations GHG Emissions Data | 7.5 | Please give the total amount of fuel (refers to Scope 1 emissions) that your local government has consumed this year. | 4 | Units | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 157416 | Cities 2020 | 2020 | 839668 | Municipio de Iztapa | Guatemala | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.3a | Please report on how climate change impacts health outcomes and health services in your city. | 3 | Identify the climate hazards most significantly impacting the selected areas | 2 | Storm and wind > Cyclone (Hurricane / Typhoon) | 07/16/2021 01:47:15 | |||
| 157417 | Cities 2020 | 2020 | 848972 | Transito | Argentina | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 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. | 6 | 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 | 12 | Transportation > Off-road | Not Occurring | 07/16/2021 01:47:15 | ||
| 157418 | Cities 2020 | 2020 | 58595 | Municipalidad de Belén | Costa Rica | Latin America | City-wide Emissions | GCoM Emission Factor and Activity Data | 4.15 | Please provide a summary of emissions factors and activity data used in your inventory. | 5 | Gas | 92 | CH4 | 07/16/2021 01:47:15 | |||
| 157419 | Cities 2020 | 2020 | 826211 | Junta Intermunicipal de Medio Ambiente Altos Sur (JIAS) | Mexico | Latin America | Emissions Reduction | Mitigation Planning | 5.5a | Please attach your city’s climate change mitigation plan below. If your city has both mitigation and energy access plans, please make sure to attach all relevant documents below. | 4 | Year of adoption from local government | 1 | 07/16/2021 01:47:15 | ||||
| 157420 | Cities 2020 | 2020 | 35872 | Municipality of Recife | Brazil | Latin America | City-wide Emissions | GCoM Emission Factor and Activity Data | 4.15 | Please provide a summary of emissions factors and activity data used in your inventory. | 2 | Category | 46 | Direct emissions | 07/16/2021 01:47:15 | |||
| 157421 | Cities 2020 | 2020 | 845308 | Puerto Cortés | Honduras | Latin America | Emissions Reduction | Mitigation Target setting | 5.0 | Do you have a GHG emissions reduction target(s) in place at the city-wide level? | 0 | 0 | No target | 07/16/2021 01:47:15 | ||||
| 157422 | Cities 2020 | 2020 | 31156 | Municipality of Curitiba | Brazil | Latin America | Transport | 10.14 | Please provide city-wide average air pollution metrics from the monitoring sites within your city for the most recent three years. | 5 | Number of monitoring stations | 7 | SO2 (Maximum 24-hour average) | 07/16/2021 01:47:15 | ||||
| 157423 | Cities 2020 | 2020 | 54687 | Prefeitura Municipal de São José dos Campos | Brazil | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.2 | Please identify and describe the factors that most greatly affect your city’s ability to adapt to climate change and indicate how those factors either support or challenge this ability. | 3 | Level of degree to which factor challenges/supports the adaptive capacity of your city | 1 | Moderately challenges | 07/16/2021 01:47:15 | |||
| 157424 | Cities 2020 | 2020 | 840038 | Justiniano Posse | Argentina | Latin America | Transport | 10.14 | Please provide city-wide average air pollution metrics from the monitoring sites within your city for the most recent three years. | 3 | Average concentration for second most recent year available (ug/m3) | 3 | PM10 (1 year (annual) mean) | Question not applicable | 07/16/2021 01:47:15 | |||
| 157425 | Cities 2020 | 2020 | 51079 | Guatemala City | Guatemala | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1 | Please list the most significant climate hazards faced by your city and indicate the probability and consequence of these hazards, as well as the expected future change in frequency and intensity. Please also select the most relevant assets or services that are affected by the climate hazard and provide a description of the impact. | 2 | Did this hazard significantly impact your city before 2020? | 2 | 07/16/2021 01:47:15 | ||||
| 157426 | Cities 2020 | 2020 | 839672 | Municipalidad Distrital de La Molina | Peru | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 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. | 6 | 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 | 2 | Stationary energy > Commercial buildings & facilities | Question not applicable | 07/16/2021 01:47:15 | ||
| 157427 | Cities 2020 | 2020 | 840039 | Arequito | Argentina | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 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. | 7 | Please explain any excluded sources, identify any emissions covered under an ETS and provide any other comments | 19 | IPPU > Industrial process | 07/16/2021 01:47:15 | |||
| 157428 | Cities 2020 | 2020 | 840931 | Prefeitura de Cordeirópolis | Brazil | Latin America | Emissions Reduction | Mitigation Target setting | 5.0a | Please provide details of your total city-wide base year emissions reduction (absolute) target(s). In addition, you may add rows to provide details of your sector-specific targets, by providing the base year emissions specific to that target. | 2 | Where sources differ from the inventory, identify and explain these additions / exclusions | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 157429 | Cities 2020 | 2020 | 848145 | Ciudad Madero | Mexico | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1 | Please list the most significant climate hazards faced by your city and indicate the probability and consequence of these hazards, as well as the expected future change in frequency and intensity. Please also select the most relevant assets or services that are affected by the climate hazard and provide a description of the impact. | 5 | Social impact of hazard overall | 4 | Increased risk to already vulnerable populations | 07/16/2021 01:47:15 | |||
| 157430 | Cities 2020 | 2020 | 55372 | Prefeitura Municipal de Canoas | Brazil | Latin America | Food | 12.1 | What is the per capita meat and dairy consumption (kg/yr) in your city? | 3 | Comment | 2 | Dairy consumption per capita (kg/year) | Question not applicable | 07/16/2021 01:47:15 | |||
| 157431 | Cities 2020 | 2020 | 73724 | Arteaga | Argentina | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1 | Please list the most significant climate hazards faced by your city and indicate the probability and consequence of these hazards, as well as the expected future change in frequency and intensity. Please also select the most relevant assets or services that are affected by the climate hazard and provide a description of the impact. | 3 | Current probability of hazard | 6 | High | 07/16/2021 01:47:15 | |||
| 157432 | Cities 2020 | 2020 | 50361 | Ayuntamiento de Hermosillo | Mexico | Latin America | Adaptation | Adaptation Actions | 3.0 | Please describe the main actions you are taking to reduce the risk to, and vulnerability of, your city’s infrastructure, services, citizens, and businesses from climate change as identified in the Climate Hazards section. | 7 | Sectors/areas adaptation action applies to | 13 | Agriculture and Forestry | 07/16/2021 01:47:15 | |||
| 157433 | Cities 2020 | 2020 | 73712 | Camilo Aldao | Argentina | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4.6f | Where it will facilitate a greater understanding of your city-wide emissions, please provide a breakdown of these emissions by end user (buildings, water, waste, transport), economic sector (residential, commercial, industrial, institutional), or any other classification system used in your city. | 2 | Sector | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 157434 | Cities 2020 | 2020 | 31180 | Región Metropolitana de Santiago | Chile | Latin America | Waste | 13.4 | What is the amount of solid waste being treated (tonnes/year) through the methods listed. | 1 | Tonnes/year | 5 | Incineration or other form of thermal treatment | 07/16/2021 01:47:15 | ||||
| 157435 | Cities 2020 | 2020 | 68378 | Municipalidad de Santiago de Surco | Peru | Latin America | Adaptation | Adaptation Actions | 3.0 | Please describe the main actions you are taking to reduce the risk to, and vulnerability of, your city’s infrastructure, services, citizens, and businesses from climate change as identified in the Climate Hazards section. | 9 | Finance status | 1 | Feasibility undertaken | 07/16/2021 01:47:15 | |||
| 157436 | Cities 2020 | 2020 | 848978 | Floresta | Colombia | Latin America | Water Security | Water Supply | 14.2a | Please identify the risks to your city’s water security as well as the timescale and level of risk. | 4 | Estimated probability of impact | 1 | Medium-high | 07/16/2021 01:47:15 | |||
| 157437 | Cities 2020 | 2020 | 73694 | Chacabuco | Argentina | Latin America | Emissions Reduction | Mitigation Actions | 5.4 | Describe the anticipated outcomes of the most impactful mitigation actions your city is currently undertaking; the total cost of the action and how much is being funded by the local government. | 7 | Renewable energy production (MWh) | 16 | 07/16/2021 01:47:15 | ||||
| 157438 | Cities 2020 | 2020 | 826211 | Junta Intermunicipal de Medio Ambiente Altos Sur (JIAS) | Mexico | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 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. | 4 | If you have no indirect emissions to report, please select a notation key to explain why | 9 | Transportation > Rail | Question not applicable | 07/16/2021 01:47:15 | ||
| 157439 | Cities 2020 | 2020 | 840926 | Prefeitura de Serra Talhada | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 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. | 6 | 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 | 22 | AFOLU > Livestock | Not Occurring | 07/16/2021 01:47:15 | ||
| 157440 | Cities 2020 | 2020 | 54646 | Prefeitura de Duque de Caxias | Brazil | Latin America | Emissions Reduction | Mitigation Target setting | 5.0d | Please provide details of your total city-wide baseline scenario target(s), including projected business as usual emissions. | 3 | Boundary of target relative to city boundary (reported in 0.1) | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 157441 | Cities 2020 | 2020 | 60387 | Alcaldía de Sincelejo | Colombia | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 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. | 5 | Emissions occurring outside the city boundary as a result of in-city activities (metric tonnes CO2e) | 29 | Generation of grid-supplied energy > Local renewable generation | Question not applicable | 07/16/2021 01:47:15 | ||
| 157442 | Cities 2020 | 2020 | 840529 | Ayuntamiento de Victoria (Tamaulipas) | Mexico | Latin America | Transport | 10.5 | Provide information on GHG emissions from the transport sector. | 1 | GHG emissions (CO2e) | 5 | Passenger Transport: Taxi/TNC | Question not applicable | 07/16/2021 01:47:15 | |||
| 157443 | Cities 2020 | 2020 | 68388 | Prefeitura de Morungaba | Brazil | Latin America | Food | 12.0a | Report the tonnes per food group that are served and/or sold through programs managed by your city (this includes schools, canteens, hospitals etc.). | 2 | Comment | 6 | Protein sources | Question not applicable | 07/16/2021 01:47:15 | |||
| 157444 | Cities 2020 | 2020 | 35897 | Municipality of Campinas | Brazil | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1 | Please list the most significant climate hazards faced by your city and indicate the probability and consequence of these hazards, as well as the expected future change in frequency and intensity. Please also select the most relevant assets or services that are affected by the climate hazard and provide a description of the impact. | 9 | Future change in intensity | 1 | Increasing | 07/16/2021 01:47:15 | |||
| 157445 | Cities 2020 | 2020 | 54611 | Alcaldia de Manizales | Colombia | Latin America | Buildings | 9.0 | What is the total tCO2e emissions per capita from existing commercial, institutional and residential buildings in your city? | 1 | Total tonnes of CO2e emissions per capita | 1 | Commercial | Question not applicable | 07/16/2021 01:47:15 | |||
| 157446 | Cities 2020 | 2020 | 840927 | Prefeitura de São Cristóvão | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4.9 | Does your city have a consumption-based inventory to measure emissions from consumption of goods and services by your residents? | 2 | Provide an overview and attach your consumption-based inventory if relevant | 1 | Please complete | Question not applicable | 07/16/2021 01:47:15 | ||
| 157447 | Cities 2020 | 2020 | 42178 | Distrito Metropolitano de Quito | Ecuador | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 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. | 1 | Direct emissions (metric tonnes CO2e) | 20 | IPPU > Product use | 07/16/2021 01:47:15 | |||
| 157448 | Cities 2020 | 2020 | 42123 | City of Goiânia | Brazil | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1 | Please list the most significant climate hazards faced by your city and indicate the probability and consequence of these hazards, as well as the expected future change in frequency and intensity. Please also select the most relevant assets or services that are affected by the climate hazard and provide a description of the impact. | 5 | Social impact of hazard overall | 3 | Increased incidence and prevalence of disease and illness | 07/16/2021 01:47:15 | |||
| 157449 | Cities 2020 | 2020 | 832009 | Ayuntamiento de Xalapa | Mexico | Latin America | Food | 12.0a | Report the tonnes per food group that are served and/or sold through programs managed by your city (this includes schools, canteens, hospitals etc.). | 2 | Comment | 1 | Vegetables | Question not applicable | 07/16/2021 01:47:15 | |||
| 157450 | Cities 2020 | 2020 | 839667 | Municipio de Guanagazapa | Guatemala | Latin America | Adaptation | Adaptation Planning | 3.2b | Please explain why there is no published plan that addresses climate change adaptation and outline any future arrangements you have to create a plan. | 2 | Comment | 1 | Please explain | Question not applicable | 07/16/2021 01:47:15 |
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Description
This data is collected through the CDP-ICLEI Unified Reporting System. When using this data, please cite both organisations using the following wording: ‘This data was collected in partnership by CDP and ICLEI - Local Governments for Sustainability’.
This dataset contains the full responses of publicly disclosing cities in 2020. To view the complete cities 2020 questionnaire guidance, including all questions asked in 2020, visit https://www.cdp.net/en/guidance/guidance-for-cities. Please contact cities@cdp.net if you have any questions.
When using the inventory data for aggregation, comparison and trend analysis, please note that the inventory data is based on non-verified self-reported city inputs. The reported inventory may not include all emission sources within the city boundary.
Please note that this dataset may contain data from cities or, in some instances, groups of cities at different administrative levels. This includes metropolitan areas, combined authorities, and 5 American regional councils, which are: Chicago Metropolitan Mayors Caucus; Denver Regional Council of Governments; Metropolitan Council, Twin Cities; Metropolitan Washington Council of Governments; and Mid-America Regional Council.
This view contains data from the CDP Cities Latina America Authority Region.
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