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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 278151 | Cities 2020 | 2020 | 73663 | Correa | Argentina | 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.). | 1 | Tonnes served and/or sold | 6 | Protein sources | Question not applicable | 07/16/2021 01:47:15 | |||
| 278152 | Cities 2020 | 2020 | 848971 | Balcarce | 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 | 31 | Total Emissions (excluding generation of grid-supplied energy) | 07/16/2021 01:47:15 | |||
| 278153 | Cities 2020 | 2020 | 54670 | Prefeitura Municipal de Capivari | Brazil | Latin America | Adaptation | Adaptation Planning Process | 3.4 | Does your local/regional government apply a Monitoring and Evaluation (M&E) system for monitoring the implementation of adaptation goals and targets as part of the climate adaptation plan (or integrated climate action plan)? | 1 | Response | 1 | Monitoring & Evaluation (M&E) system | Question not applicable | 07/16/2021 01:47:15 | ||
| 278154 | Cities 2020 | 2020 | 70261 | Alcaldia de Floridablanca | Colombia | 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 | Question not applicable | 07/16/2021 01:47:15 | |||
| 278155 | Cities 2020 | 2020 | 826207 | Junta Intermunicipal de Medio Ambiente Region Valles (JIMAV) | Mexico | Latin America | Governance and Data Management | Governance | 1.3 | Please list the key development challenges, barriers and opportunities within the GCC Program. | 2 | Please describe the selected development, challenge, barrier or opportunity | 0 | 07/16/2021 01:47:15 | ||||
| 278156 | Cities 2020 | 2020 | 31156 | Municipality of Curitiba | Brazil | Latin America | Governance and Data Management | Governance | 1.2 | Please list the local government departments involved in the GCC program and its role. It is important to specify the program coordinator, action plan developer, GHG inventory accountant, verifier and action plan implementer. | 3 | Role in the GCC program | 0 | 07/16/2021 01:47:15 | ||||
| 278157 | Cities 2020 | 2020 | 839673 | Municipalidad Distrital de Jesús María | Peru | 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. | 9 | Activity level (per emission factor unit denominator) | 1 | 07/16/2021 01:47:15 | ||||
| 278158 | Cities 2020 | 2020 | 839665 | Ayuntamiento de Celaya | Mexico | Latin America | Local Government Emissions | Local Government Operations GHG Emissions Data | 7.6 | Please provide total (Scope 1 + Scope 2) GHG emissions for your local government operations, in metric tonnes CO2e. | 2 | Total Scope 1 emissions (metric tonnes CO2e) | 1 | Local government emissions breakdown | Question not applicable | 07/16/2021 01:47:15 | ||
| 278159 | Cities 2020 | 2020 | 834219 | Municipality of Corrientes | Argentina | Latin America | City-wide Emissions | Re-stating previous emissions inventories | 4.14a | Please provide your city’s recalculated total city-wide emissions figures for any previous inventories along with Scope 1, 2 and 3 breakdowns where applicable. | 5 | Updated emissions (metric tonnes CO2e) | 0 | 07/16/2021 01:47:15 | ||||
| 278160 | Cities 2020 | 2020 | 845304 | Santa Ana (Costa Rica) | Costa Rica | 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. | 2 | Where data is not available, please explain why | 5 | Transportation – Scope 1 (II.X.1) | Question not applicable | 07/16/2021 01:47:15 | ||
| 278161 | Cities 2020 | 2020 | 848130 | San Pedro Yepocapa | Guatemala | Latin America | Waste | 13.6 | Does your city have any of the following initiatives, policies and/or regulations. | 1 | Response | 4 | Target(s) on reducing food waste to disposal (landfill and incineration) | Question not applicable | 07/16/2021 01:47:15 | |||
| 278162 | Cities 2020 | 2020 | 31155 | City of Buenos Aires | Argentina | 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. | 3 | Please explain and quantify changes in emissions | 1 | Please explain | En el año 2017 se ha observado una considerable reducción de las emisiones GEI en la Ciudad de Buenos Aires, siendo un 9% menor que las registradas en el año 2016. Las principales causas de la reducción de las emisiones GEI en el año 2017 se deben a un menor consumo de electricidad y gas natural en la ciudad, como así también a una disminución del factor de emisión de la red argentina:- El consumo de gas natural en la Ciudad de Buenos Aires en 2017 disminuyó en todos los sectores en relación al consumo de 2016, en valores entre 15% y 20% en promedio. - El consumo de electricidad en el año 2017 disminuyó en el sector residencial en un 6% y en el sector industrial en un 32% en relación al consumo del año 2016. Por su parte, el consumo del sector comercial e institucional se mantuvo prácticamente en un valor similar. - El factor de la red eléctrica de la Argentina tuvo una importante disminución entre los años 2016 y 2017, en un orden del 8% aproximadamente, principalmente por un mayor consumo de gas natural (el cual genera menor cantidad de GEI en relación a otros combustibles fósiles), y a su vez por un menor consumo de combustibles como el diésel/gasoil, fuel oil y carbón para la generación de energía eléctrica. | 07/16/2021 01:47:15 | ||
| 278163 | Cities 2020 | 2020 | 54700 | Prefeitura Municipal de Sumaré | 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. | 4 | If you have no indirect emissions to report, please select a notation key to explain why | 17 | Waste > Wastewater | Question not applicable | 07/16/2021 01:47:15 | ||
| 278164 | Cities 2020 | 2020 | 826209 | Aipromades Lago de Chapala | 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. | 5 | Emissions occurring outside the city boundary as a result of in-city activities (metric tonnes CO2e) | 3 | Stationary energy > Institutional buildings & facilities | 07/16/2021 01:47:15 | |||
| 278165 | Cities 2020 | 2020 | 55371 | Municipalidad de Vicente López | Argentina | Latin America | Opportunities | Collaboration | 6.2a | Please provide some key examples of how your city collaborates with business in the table below. | 3 | Description of collaboration | 1 | Intercambio de información, medios para comenzar con la separación en origen y contenerización, compostaje. Asesoría en reglamentación a cumplir a grandes generadores de residuos. | 07/16/2021 01:47:15 | |||
| 278166 | Cities 2020 | 2020 | 60399 | Municipalidad de Miraflores | Peru | Latin America | Local Government Emissions | Local Government Operations GHG Emissions Data | 7.1 | Please state the dates of the accounting year or 12-month period for which you are reporting an emissions inventory for your local government operations. | 1 | From | 1 | Accounting year dates | Question not applicable | 07/16/2021 01:47:15 | ||
| 278167 | Cities 2020 | 2020 | 839650 | Ayuntamiento de Uriangato | Mexico | Latin America | Buildings | 9.1 | Does your city have emissions reduction targets or energy efficiency targets for the following building types? | 4 | Please provide more details and/or link to more information about the energy efficiency target. | 3 | Residential | Question not applicable | 07/16/2021 01:47:15 | |||
| 278168 | Cities 2020 | 2020 | 50358 | Gobierno Municipal de Toluca de Lerdo | Mexico | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4.3a | The Global Covenant of Mayors requires committed cities to report their inventories in the format of the new Common Reporting Framework (CRF). Would you like to report your inventory in the CRF format or continue to report in the GPC format? This question triggers the display of the corresponding emissions table. | 0 | 0 | Yes – I will use the CRF format | 07/16/2021 01:47:15 | ||||
| 278169 | Cities 2020 | 2020 | 42123 | City of Goiânia | Brazil | Latin America | Emissions Reduction | Mitigation Target setting | 5.0c | Please provide details of your total city-wide base year intensity target. An intensity target is usually measured per capita or per unit GDP. If you have an absolute emissions reduction target, please select “Base year emissions (absolute) target” in question 5.0. | 9 | Percentage reduction target in emissions intensity | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 278170 | Cities 2020 | 2020 | 840926 | Prefeitura de Serra Talhada | 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. | 8 | Emission factor unit (denominator) | 8 | TJ | 07/16/2021 01:47:15 | |||
| 278171 | Cities 2020 | 2020 | 848125 | Oreamuno | Costa Rica | Latin America | Transport | 10.8 | Do you have a loading / unloading Restricted Zone for Logistics? If yes, please provide more detail about the Restricted zone. | 1 | Response | 1 | Please complete | Question not applicable | 07/16/2021 01:47:15 | |||
| 278172 | Cities 2020 | 2020 | 839673 | Municipalidad Distrital de Jesús María | 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. | 10 | Majority funding source | 2 | (Sub)national | 07/16/2021 01:47:15 | |||
| 278173 | Cities 2020 | 2020 | 841269 | Municipalidad de Montecarlo | 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. | 2 | Action title | 17 | Compostaje centralizado | 07/16/2021 01:47:15 | |||
| 278174 | Cities 2020 | 2020 | 50358 | Gobierno Municipal de Toluca de Lerdo | Mexico | Latin America | Adaptation | Adaptation Planning | 3.2a | Please provide more information on your plan that addresses climate change adaptation and attach the document. Please provide details on the boundary of your plan, and where this differs from your city’s boundary, please provide an explanation. | 7 | If the city boundary is different from the plan boundary, please explain why | 2 | 07/16/2021 01:47:15 | ||||
| 278175 | Cities 2020 | 2020 | 54620 | Gobierno Municipal de la Ciudad de Paraná | 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. | 4 | Average concentration for third most recent year available (ug/m3) | 7 | SO2 (Maximum 24-hour average) | Question not applicable | 07/16/2021 01:47:15 | |||
| 278176 | Cities 2020 | 2020 | 73667 | San Rafael de Heredia | Costa Rica | 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. | 7 | Where can the data be accessed? | 5 | NO2 (1 year (annual) mean) | Question not applicable | 07/16/2021 01:47:15 | |||
| 278177 | Cities 2020 | 2020 | 60361 | Prefeitura de Tangará da Serra | Brazil | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4.2 | Please indicate the category that best describes the boundary of your city-wide GHG emissions inventory. | 3 | Explanation of boundary choice where the inventory boundary differs from the city boundary (include inventory boundary, GDP and population) | 1 | Please explain | Question not applicable | 07/16/2021 01:47:15 | ||
| 278178 | Cities 2020 | 2020 | 840039 | Arequito | 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. | 9 | Publicly available? | 5 | NO2 (1 year (annual) mean) | Question not applicable | 07/16/2021 01:47:15 | |||
| 278179 | Cities 2020 | 2020 | 60409 | Municipalidad Provincial de Callao | Peru | 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. | 4 | Base year | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 278180 | Cities 2020 | 2020 | 73701 | San Carlos Sud | Argentina | 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. | 4 | Please describe how the factor supports or challenges the adaptive capacity of your city | 2 | La capacidad presupuestaria es una limitante a la hora de pensar en autonomía del municipio para generar cambios infraestructurales grandes, por lo que se depende estrictamente de la provincia. Este aspecto podría afectar a la capacidad de adaptación a futuro. | 07/16/2021 01:47:15 | |||
| 278181 | Cities 2020 | 2020 | 50361 | Ayuntamiento de Hermosillo | 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. | 2 | If you have no direct emissions to report, please select a notation key to explain why | 6 | Stationary energy > Fugitive emissions | Question not applicable | 07/16/2021 01:47:15 | ||
| 278182 | Cities 2020 | 2020 | 54632 | Prefeitura de Caruaru | Brazil | Latin America | Emissions Reduction | Mitigation Target setting | 5.0b | Please provide details of your total fixed level target(s). | 3 | Boundary of target relative to city boundary (reported in 0.1) | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 278183 | Cities 2020 | 2020 | 60284 | Prefeitura de Angra dos Reis | Brazil | 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 | 1 | Disaster preparedness | 07/16/2021 01:47:15 | |||
| 278184 | Cities 2020 | 2020 | 73800 | Gobernador Maciá | 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. | 4 | Average concentration for third most recent year available (ug/m3) | 4 | PM10 (Maximum 24-hour average) | Question not applicable | 07/16/2021 01:47:15 | |||
| 278185 | Cities 2020 | 2020 | 848122 | Alajuela | Costa Rica | Latin America | City-wide Emissions | City-wide GHG Emissions Data | 4.6e | Where it will facilitate a greater understanding of your city-wide emissions, please provide a breakdown of these emissions by the US Community Protocol sources. | 3 | Scope | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 278186 | Cities 2020 | 2020 | 60337 | Prefeitura de Quissamã | 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. | 2 | Indicate if this factor either supports or challenges the ability to adapt | 1 | Challenges | 07/16/2021 01:47:15 | |||
| 278187 | Cities 2020 | 2020 | 73724 | Arteaga | 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. | 9 | Co-benefit area | 12 | Improved resource efficiency (e.g. food, water, energy) | 07/16/2021 01:47:15 | |||
| 278188 | Cities 2020 | 2020 | 54662 | Prefeitura do Município de Maringá | Brazil | 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. | 3 | Action title | 0 | 07/16/2021 01:47:15 | ||||
| 278189 | Cities 2020 | 2020 | 848259 | Mongua | Colombia | 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.). | 1 | Tonnes served and/or sold | 3 | Dairy foods | Question not applicable | 07/16/2021 01:47:15 | |||
| 278190 | Cities 2020 | 2020 | 849044 | Villa Amelia | Argentina | Latin America | Adaptation | Adaptation Actions | 3.1 | Describe how your city identified and prioritized adaptation actions to implement. | 2 | Comment | 1 | Identifying and prioritizing adaptation actions | Question not applicable | 07/16/2021 01:47:15 | ||
| 278191 | Cities 2020 | 2020 | 60284 | Prefeitura de Angra dos Reis | Brazil | Latin America | Food | 12.3 | Does your city have any policies relating to food consumption within your city? If so, please describe the expected outcome of the policy. | 2 | Please describe the expected outcome of the policy | 1 | Please complete | 07/16/2021 01:47:15 | ||||
| 278192 | Cities 2020 | 2020 | 60339 | Prefeitura de Anapolis | Brazil | Latin America | Local Government Emissions | Local Government Operations GHG Emissions Data | 7.3 | Please give the name of the primary protocol, standard, or methodology used to calculate your local government operations emissions inventory and attach your inventory using the attachment function. | 1 | Primary protocol and attach inventory | 1 | Emissions methodology | Question not applicable | 07/16/2021 01:47:15 | ||
| 278193 | Cities 2020 | 2020 | 59167 | Municipalidad de Providencia | Chile | Latin America | Transport | 10.6 | How many buses has your city procured in the last year? | 1 | Number of buses | 3 | Electric trolley buses | Question not applicable | 07/16/2021 01:47:15 | |||
| 278194 | Cities 2020 | 2020 | 68383 | Prefeitura de Itatiba | 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. | 1 | Factors that affect ability to adapt | 1 | Resource availability | 07/16/2021 01:47:15 | |||
| 278195 | Cities 2020 | 2020 | 848970 | Villa Carlos Paz | Argentina | Latin America | City-wide Emissions | City-wide external verification | 4.12 | Has the city-wide GHG emissions data you are currently reporting been externally verified or audited in part or in whole? | 0 | 0 | Not intending to undertake | 07/16/2021 01:47:15 | ||||
| 278196 | Cities 2020 | 2020 | 58597 | Municipalidad de La Unión | Costa Rica | Latin America | Local Government Emissions | Local Government Operations GHG Emissions Data | 7.7a | Please complete the table reporting your local government Scope 3 emissions. | 3 | Comment | 1 | Question not applicable | 07/16/2021 01:47:15 | |||
| 278197 | Cities 2020 | 2020 | 60391 | Municipalidad de San Borja | 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. | 7 | Please explain any excluded sources, identify any emissions covered under an ETS and provide any other comments | 6 | Stationary energy > Fugitive emissions | 07/16/2021 01:47:15 | |||
| 278198 | Cities 2020 | 2020 | 849041 | Gualeguaychú | 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. | 5 | Social impact of hazard overall | 1 | Increased demand for public services | 07/16/2021 01:47:15 | |||
| 278199 | Cities 2020 | 2020 | 73700 | Mariá Grande | Argentina | Latin America | Adaptation | Adaptation Planning | 3.2a | Please provide more information on your plan that addresses climate change adaptation and attach the document. Please provide details on the boundary of your plan, and where this differs from your city’s boundary, please provide an explanation. | 3 | Sectors/areas covered by plan that addresses climate change adaptation | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 278200 | Cities 2020 | 2020 | 826212 | Junta intermunicipal para la gestión integral de la cuenca del Río Coahuayana (JIRCO) | Mexico | 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. | 2 | Where data is not available, please explain why | 13 | TOTAL Scope 1 (Territorial) emissions | 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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