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2020 Full Cities Dataset for Excel - Latin America
This is a filtered view based on 2020 - Full Cities Dataset.
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 243101 | Cities 2020 | 2020 | 35880 | Municipality of Porto Alegre | 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. | 7 | Target year | 10 | Question not applicable | 07/16/2021 01:47:15 | |||
| 243102 | Cities 2020 | 2020 | 73650 | Armstrong | 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. | 6 | Most relevant assets / services affected overall | 34 | 07/16/2021 01:47:15 | ||||
| 243103 | Cities 2020 | 2020 | 847243 | Maggiolo | Argentina | 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. | 1 | Boundary of inventory relative to city boundary (reported in 0.1) | 1 | Please explain | Same – covers entire city and nothing else | 07/16/2021 01:47:15 | ||
| 243104 | Cities 2020 | 2020 | 60258 | Prefeitura de Brusque | 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. | 4 | Please describe how the factor supports or challenges the adaptive capacity of your city | 2 | O ordenamento irregular de ocupação do território é uma das grande dificuldades já que isso traz a necessidade cada vez maior de investimentos vultuosos para levar uma infraestrutura de qualidade a locais que estão a distâncias muitas vezes grandes do centro urbano e que muitas vezes não demandam nem de relevo adequado o que onera ainda mais a infraestrutura adequada além de gerar muitas vezes impactos ambientais muitas vezes de difícil recuperação. | 07/16/2021 01:47:15 | |||
| 243105 | Cities 2020 | 2020 | 840313 | Municipalidad Cerro Navia | Chile | Latin America | Transport | 10.4 | Please provide the total fleet size and number of vehicle types for the following modes of transport. | 7 | Customer-drive carshares (e.g. Car2Go, Drivenow) fleet size | 1 | Total fleet size | 07/16/2021 01:47:15 | ||||
| 243106 | Cities 2020 | 2020 | 847242 | Oberá | 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. | 3 | Indirect emissions from the use of grid-supplied electricity, heat, steam and/or cooling (metric tonnes CO2e) | 27 | Generation of grid-supplied energy > CHP generation | 0 | 07/16/2021 01:47:15 | ||
| 243107 | Cities 2020 | 2020 | 50794 | Prefeitura Municipal de Caieiras | 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 | 29 | Generation of grid-supplied energy > Local renewable generation | Question not applicable | 07/16/2021 01:47:15 | ||
| 243108 | Cities 2020 | 2020 | 840944 | Prefeitura de Carnaúba dos Dantas | 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. | 2 | Average concentration for most recent year available (ug/m3) | 3 | PM10 (1 year (annual) mean) | Question not applicable | 07/16/2021 01:47:15 | |||
| 243109 | Cities 2020 | 2020 | 58597 | Municipalidad de La Unión | Costa Rica | 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) | 11 | Transportation > Aviation | 07/16/2021 01:47:15 | |||
| 243110 | Cities 2020 | 2020 | 54700 | Prefeitura Municipal de Sumaré | 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 | 3 | Challenges | 07/16/2021 01:47:15 | |||
| 243111 | Cities 2020 | 2020 | 54652 | Prefeitura de Osasco | Brazil | Latin America | Opportunities | Finance and Economic Opportunities | 6.7 | Has your city received/secured funding for any low carbon projects (e.g. energy efficiency, renewable energy, low emission vehicles, bus rapid transit, waste management) or climate adaptation projects from a development bank (e.g. World Bank, Asian Development Bank, etc.)? | 1 | Funding received/secured for low carbon projects or climate adaptation | 1 | Funding received/secured | Question not applicable | 07/16/2021 01:47:15 | ||
| 243112 | Cities 2020 | 2020 | 54692 | Prefeitura Municipal de Sertãozinho | Brazil | 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 | |||
| 243113 | Cities 2020 | 2020 | 50381 | Municipio de Torreón | 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. | 18 | Role in the GCC program | 3 | Question not applicable | 07/16/2021 01:47:15 | |||
| 243114 | Cities 2020 | 2020 | 50358 | Gobierno Municipal de Toluca de Lerdo | Mexico | 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. | 13 | Total Scope 3 emissions | 1 | City-wide emissions | Question not applicable | 07/16/2021 01:47:15 | ||
| 243115 | Cities 2020 | 2020 | 60279 | Prefeitura de Campos de Goytacazes | Brazil | Latin America | Energy | 8.2 | What scale is the electricity mix data reported above? | 0 | 0 | 07/16/2021 01:47:15 | ||||||
| 243116 | Cities 2020 | 2020 | 58595 | Municipalidad de Belén | Costa Rica | 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. | 6 | Please identify which vulnerable populations are affected by these climate-related impacts | 1 | Low-income households | 07/16/2021 01:47:15 | |||
| 243117 | Cities 2020 | 2020 | 31170 | Metropolitan Municipality of Lima | Peru | Latin America | Energy | 8.4 | How much (in MW capacity) renewable energy is installed within the city boundary in the following categories? | 1 | MW capacity | 4 | Hydro power | 07/16/2021 01:47:15 | ||||
| 243118 | Cities 2020 | 2020 | 54611 | Alcaldia de Manizales | Colombia | Latin America | Transport | 10.3 | What are the total number of journeys made in your city each year by each mode below? | 1 | Number of journeys made each year | 7 | Taxis or For Hire Vehicles | Question not applicable | 07/16/2021 01:47:15 | |||
| 243119 | Cities 2020 | 2020 | 834278 | Municipality of Resistencia | Argentina | Latin America | Transport | 10.4 | Please provide the total fleet size and number of vehicle types for the following modes of transport. | 8 | Comment | 2 | Electric | 07/16/2021 01:47:15 | ||||
| 243120 | Cities 2020 | 2020 | 849023 | Uruapan | 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. | 2 | Web link | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 243121 | Cities 2020 | 2020 | 35873 | Municipality of Medellín | Colombia | 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'. | 6 | Identified financing model description | 1 | 07/16/2021 01:47:15 | ||||
| 243122 | Cities 2020 | 2020 | 60387 | Alcaldía de Sincelejo | Colombia | Latin America | Opportunities | Climate Action Planning | 6.15 | How many people within your city are employed in green jobs/industries? | 4 | Comment | 1 | Green jobs/industries | Question not applicable | 07/16/2021 01:47:15 | ||
| 243123 | 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. | 5 | Emissions occurring outside the city boundary as a result of in-city activities (metric tonnes CO2e) | 19 | IPPU > Industrial process | Question not applicable | 07/16/2021 01:47:15 | ||
| 243124 | Cities 2020 | 2020 | 69850 | Municipalidad de Comas | Peru | 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. | 10 | Calculated total Scope 1 + Scope 2 emissions | 1 | City-wide emissions | Question not applicable | 07/16/2021 01:47:15 | ||
| 243125 | Cities 2020 | 2020 | 73724 | Arteaga | Argentina | Latin America | Buildings | 9.1 | Does your city have emissions reduction targets or energy efficiency targets for the following building types? | 1 | Emissions reduction target | 3 | Residential | Question not applicable | 07/16/2021 01:47:15 | |||
| 243126 | Cities 2020 | 2020 | 73701 | San Carlos Sud | 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 | 3 | Dairy foods | Question not applicable | 07/16/2021 01:47:15 | |||
| 243127 | Cities 2020 | 2020 | 840038 | Justiniano Posse | 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. | 6 | Most relevant assets / services affected overall | 3 | Information & communications technology | 07/16/2021 01:47:15 | |||
| 243128 | Cities 2020 | 2020 | 839666 | Municipio de Escuintla | Guatemala | 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) | 26 | Generation of grid-supplied energy > Electricity-only generation | Question not applicable | 07/16/2021 01:47:15 | ||
| 243129 | Cities 2020 | 2020 | 848145 | Ciudad Madero | Mexico | 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 | 3 | Direct emissions | 07/16/2021 01:47:15 | |||
| 243130 | Cities 2020 | 2020 | 849044 | Villa Amelia | Argentina | 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) | 0 | 07/16/2021 01:47:15 | ||||
| 243131 | Cities 2020 | 2020 | 849043 | Santa Anita (Argentina) | Argentina | Latin America | Transport | 10.4 | Please provide the total fleet size and number of vehicle types for the following modes of transport. | 7 | Customer-drive carshares (e.g. Car2Go, Drivenow) fleet size | 3 | Hybrid | 07/16/2021 01:47:15 | ||||
| 243132 | Cities 2020 | 2020 | 840039 | Arequito | Argentina | Latin America | Opportunities | Collaboration | 6.3 | Describe how your local/regional government collaborates and coordinates horizontally on climate action. | 1 | Entity with which your local/regional government collaborates and coordinates horizontally on climate action | 1 | Horizontal collaboration and coordination | Question not applicable | 07/16/2021 01:47:15 | ||
| 243133 | Cities 2020 | 2020 | 848131 | Gámeza | Colombia | 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. | 6 | Boundary of plan relative to city boundary (reported in 0.1) | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 243134 | Cities 2020 | 2020 | 826208 | Junta Intermunicipal de Medio Ambiente de Sierra Occidental y Costa (JISOC) | Mexico | Latin America | Food | 12.1 | What is the per capita meat and dairy consumption (kg/yr) in your city? | 2 | Year data applies to | 2 | Dairy consumption per capita (kg/year) | Question not applicable | 07/16/2021 01:47:15 | |||
| 243135 | Cities 2020 | 2020 | 60268 | Prefeitura de Brumadinho | Brazil | 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. | 8 | Reason for recalculation | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 243136 | Cities 2020 | 2020 | 73700 | Mariá Grande | 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 | 16 | Waste > Incineration and open burning | 07/16/2021 01:47:15 | |||
| 243137 | Cities 2020 | 2020 | 847236 | Ramona | Argentina | 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. | 12 | Does your plan include policy goals that explicitly reflect one of the following principles? | 1 | Question not applicable | 07/16/2021 01:47:15 | |||
| 243138 | Cities 2020 | 2020 | 834261 | Municipality of Irapuato | Mexico | Latin America | Waste | 13.4 | What is the amount of solid waste being treated (tonnes/year) through the methods listed. | 1 | Tonnes/year | 7 | Sanitary landfill | Question not applicable | 07/16/2021 01:47:15 | |||
| 243139 | Cities 2020 | 2020 | 50364 | Municipalidad de La Paz | Bolivia (Plurinational State of) | 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 healthcare services | 07/16/2021 01:47:15 | |||
| 243140 | Cities 2020 | 2020 | 54614 | Prefeitura da Cidade de São José do Rio Preto | 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. | 6 | Most relevant assets / services affected overall | 3 | Public health | 07/16/2021 01:47:15 | |||
| 243141 | Cities 2020 | 2020 | 847236 | Ramona | 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. | 12 | Total cost of the project | 20 | 6581 | 07/16/2021 01:47:15 | |||
| 243142 | Cities 2020 | 2020 | 60361 | Prefeitura de Tangará da Serra | 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. | 1 | Sector | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 243143 | Cities 2020 | 2020 | 832002 | Municipalidad de Quepos | 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. | 6 | Emission factor value | 19 | 0.000116 | 07/16/2021 01:47:15 | |||
| 243144 | Cities 2020 | 2020 | 54637 | Alcaldía de Cuenca | Ecuador | Latin America | Transport | 10.6 | How many buses has your city procured in the last year? | 2 | Comment | 6 | Hydrogen | Question not applicable | 07/16/2021 01:47:15 | |||
| 243145 | Cities 2020 | 2020 | 60419 | Municipalidad de Rio Grande | Argentina | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1a | Have you identified the most vulnerable geographic areas in your city? | 1 | Response | 1 | Vulnerable geographic areas | Question not applicable | 07/16/2021 01:47:15 | ||
| 243146 | Cities 2020 | 2020 | 839967 | Malargue | Argentina | Latin America | Transport | 10.1 | What is the mode share of each transport mode in your city for passenger transport? | 1 | Private motorized transport | 1 | Please complete | Question not applicable | 07/16/2021 01:47:15 | |||
| 243147 | Cities 2020 | 2020 | 51374 | Prefeitura de Rio Branco | 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. | 1 | Direct emissions (metric tonnes CO2e) | 15 | Waste > Biological treatment | Question not applicable | 07/16/2021 01:47:15 | ||
| 243148 | Cities 2020 | 2020 | 60267 | Prefeitura de Guarujá | Brazil | Latin America | Climate Hazards and Vulnerability | Climate Risk and Vulnerability Assessment | 2.0d | Does your city have an update/revision process for the climate risk and vulnerability assessment? | 1 | Update/revision process in place | 1 | Update/revision process | Question not applicable | 07/16/2021 01:47:15 | ||
| 243149 | Cities 2020 | 2020 | 50392 | Prefeitura de Vitória | Brazil | 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. | 3 | Means of implementation | 13 | Monitor activities | 07/16/2021 01:47:15 | |||
| 243150 | Cities 2020 | 2020 | 35897 | Municipality of Campinas | 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 | 4 | Resource conservation (e.g. soil, water) | 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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