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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 147101 | Cities 2020 | 2020 | 50378 | Municipalidad de San José | Costa Rica | 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'. | 1 | Project area | 4 | Waste management | 07/16/2021 01:47:15 | |||
| 147102 | Cities 2020 | 2020 | 60268 | Prefeitura de Brumadinho | Brazil | Latin America | Energy | 8.5b | Please explain why you do not have an energy efficiency target and any plans to introduce one in the future. | 2 | Comment | 1 | Please explain | Question not applicable | 07/16/2021 01:47:15 | |||
| 147103 | Cities 2020 | 2020 | 848404 | Mongui | Colombia | 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. | 8 | Total Scope 2 emissions | 1 | City-wide emissions | Question not applicable | 07/16/2021 01:47:15 | ||
| 147104 | Cities 2020 | 2020 | 834259 | Municipality of Lobos | 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) | 2 | PM2.5 (Maximum 24-hour average) | Question not applicable | 07/16/2021 01:47:15 | |||
| 147105 | Cities 2020 | 2020 | 73671 | Godoy Cruz | 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. | 2 | Web link | 1 | 07/16/2021 01:47:15 | ||||
| 147106 | Cities 2020 | 2020 | 848122 | Alajuela | Costa Rica | Latin America | Transport | 10.9 | How many public access EV charging points do you have in your city and/or metropolitan area for the following types. | 2 | Number of charging points in your metropolitan area | 2 | Fast 7-22kw | Question not applicable | 07/16/2021 01:47:15 | |||
| 147107 | Cities 2020 | 2020 | 31154 | Bogotá Distrito Capital | Colombia | 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. | 2 | Action | 25 | Other, please specify: Salud pública y adaptación al cambio climático | 07/16/2021 01:47:15 | |||
| 147108 | Cities 2020 | 2020 | 848145 | Ciudad Madero | 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 | 4 | Public Health and Safety | 07/16/2021 01:47:15 | |||
| 147109 | Cities 2020 | 2020 | 848408 | Municipio de Cajamarca | Colombia | 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 | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 147110 | Cities 2020 | 2020 | 58597 | Municipalidad de La Unión | 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. | 9 | Activity level (per emission factor unit denominator) | 24 | 1 | 07/16/2021 01:47:15 | |||
| 147111 | Cities 2020 | 2020 | 73694 | Chacabuco | 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 | 31 | Total Emissions (excluding generation of grid-supplied energy) | 07/16/2021 01:47:15 | |||
| 147112 | Cities 2020 | 2020 | 73663 | Correa | 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. | 3 | Means of implementation | 9 | Capacity building and training activities | 07/16/2021 01:47:15 | |||
| 147113 | Cities 2020 | 2020 | 849040 | General Pueyrredon | Argentina | Latin America | Introduction | 0.2 | If you have not previously submitted your Letter of Commitment to the Global Covenant of Mayors, either through the relevant regional covenant or through the Global Covenant secretariat, please attach the letter signed by an appropriately mandated official (e.g. Mayor, City Council) to this question. | 0 | 0 | GCom - Gral Pueyrredon.pdf | 07/16/2021 01:47:15 | |||||
| 147114 | Cities 2020 | 2020 | 848125 | Oreamuno | Costa Rica | 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. | 11 | When do you first expect to experience those changes in frequency and intensity? | 2 | 07/16/2021 01:47:15 | ||||
| 147115 | 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.). | 2 | Comment | 8 | Foods with added sugar | Question not applicable | 07/16/2021 01:47:15 | |||
| 147116 | Cities 2020 | 2020 | 35897 | Municipality of Campinas | 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. | 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 | |||
| 147117 | Cities 2020 | 2020 | 31184 | Prefeitura de São Paulo | 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 | 1 | Operação Chuvas de Verão, Programa de Metas 2019-2020. | 07/16/2021 01:47:15 | |||
| 147118 | Cities 2020 | 2020 | 847243 | Maggiolo | 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. | 1 | Direct emissions (metric tonnes CO2e) | 15 | Waste > Biological treatment | 07/16/2021 01:47:15 | |||
| 147119 | Cities 2020 | 2020 | 57509 | Prefeitura de Niterói | 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. | 7 | Renewable energy production (MWh) | 15 | Nenhuma estimativa de redução das emissões de GEE foi feita para os programas porque surgiram como justificativa de outras áreas, como melhoria a mobilidade urbana, etc. Para os próximos anos podemos utilizar aproximações para realizar essas estimativas.Alguns campos de valor de projeto não foram preenchidos porque fazem parte de um programa maior ou porque estão incluídos nos custos totais de determinada secretaria. Para os próximos anos podemos tentar segregar as despesas de cada projeto. | 07/16/2021 01:47:15 | |||
| 147120 | Cities 2020 | 2020 | 847922 | Junta Municipal de Medio Ambiente Lagunas (JIMAL) | Mexico | 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 | |||
| 147121 | Cities 2020 | 2020 | 848135 | San Pedro de la Paz | Chile | 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 | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 147122 | Cities 2020 | 2020 | 54681 | Prefeitura Municipal de Araçatuba | 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 | 5 | Tubers or starchy | Question not applicable | 07/16/2021 01:47:15 | |||
| 147123 | Cities 2020 | 2020 | 849041 | Gualeguaychú | Argentina | Latin America | Transport | 10.2 | What is the mode share of each transport mode in your city for freight transport? | 1 | Mode share | 3 | Medium Goods vehicles (MGV) | Question not applicable | 07/16/2021 01:47:15 | |||
| 147124 | Cities 2020 | 2020 | 73726 | Itagüí | Colombia | Latin America | City-wide Emissions | City-wide external verification | 4.12b | Please explain why your city-wide emissions inventory is not verified and describe any plans to verify your city-wide emissions in the future. | 2 | Comments | 1 | Please explain | Question not applicable | 07/16/2021 01:47:15 | ||
| 147125 | Cities 2020 | 2020 | 848409 | Lince | Peru | Latin America | Waste | 13.6 | Does your city have any of the following initiatives, policies and/or regulations. | 1 | Response | 2 | Volume based waste collection fees/incentives | Question not applicable | 07/16/2021 01:47:15 | |||
| 147126 | Cities 2020 | 2020 | 834301 | Municipality of San Antonio de Areco | Argentina | 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 | 5 | Wind | 07/16/2021 01:47:15 | ||||
| 147127 | Cities 2020 | 2020 | 839666 | Municipio de Escuintla | Guatemala | 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 | |||
| 147128 | Cities 2020 | 2020 | 845307 | Zarcero | Costa Rica | 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. | 10 | Percentage of target achieved so far | 3 | 0 | 07/16/2021 01:47:15 | |||
| 147129 | Cities 2020 | 2020 | 42388 | Intendencia de Montevideo | Uruguay | 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. | 8 | Who owns the data? | 7 | SO2 (Maximum 24-hour average) | Question not applicable | 07/16/2021 01:47:15 | |||
| 147130 | Cities 2020 | 2020 | 73726 | Itagüí | 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. | 1 | Direct emissions (metric tonnes CO2e) | 28 | Generation of grid-supplied energy > Heat/cold generation | Question not applicable | 07/16/2021 01:47:15 | ||
| 147131 | Cities 2020 | 2020 | 826207 | Junta Intermunicipal de Medio Ambiente Region Valles (JIMAV) | Mexico | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1a | Have you identified the most vulnerable geographic areas in your city? | 2 | Describe the methodology or process to identify these most vulnerable areas (e.g. mapping hotspots) | 1 | Vulnerable geographic areas | La siguiente información describe la metodología desarrollada por la Casa Consultora "IDOM", quien fungió como organismo técnico para la elaboración de la Primera Fase del Programa Regional y los Programas Municipales de Cambio Climático de los 14 municipios que conforman nuestra Intermunicipalidad. Para categorizar cada uno de los municipios en función de la probabilidad de ocurrencia de las amenazas, se ha utilizado la información del Atlas de Riesgos en cuanto a categorización de los peligros existentes para cada una de las amenazas en cada municipio.Para cada una de las amenazas, los grados de peligro según el Atlas de Riesgo han sido calculados según las siguientes variables:a) Grado de peligro por sequía: Se trata de una simplificación del mapa de “Clasificación de la sequía por municipio, en el que se ha reclasificado el mismo por el método Natural Break con 5 categorías (de muy bajo a muy alto). Para la elaboración de este mapa se tomó en cuenta el déficit de lluvia y la duración de esta (CENAPRED, 2018).b) Grado de peligro por inundaciones: para la elaboración de este mapa, se tomó en cuenta el Estudio de Inundaciones Fluviales y Mapas de Peligro de la Comisión Nacional del Agua (CONAGUA, 2013), en el que se determinaron las zonas susceptibles de inundación de cada una de las 37 regiones hidrológicas del país. En el mismo, CONAGUA, utilizó mapas de precipitación y el método de curva numérica, con lo que estableció un índice de inundación para la cantidad de escurrimiento según las características de las lluvias, la topografía, la edafología, la vegetación y el uso del suelo en las cuencas. Una vez hecho esto, se calculó para cada municipio el porcentaje de área inundable, y se clasificaron los valores de porcentaje del total de inicio con base en quintiles estadísticos. Con esta técnica se distribuyeron los municipios aproximadamente en un mismo número entre los cinco grados de peligro (desde Muy Alto a Muy Bajo) (CENAPRED, 2012).c) Grado de peligro por ola de calor: una ola de calor se define por un período de tres o más días cuando la temperatura excede cierto umbral, que para el caso de México es de 26ºC (CENAPRED, 2012). Para calcular el grado de peligro por olas de calor en los municipios de México se establecieron cuatro umbrales (desde bajo a muy alto), en función de intervalos de temperatura, considerando que un municipio tiene más peligro que otro si la ola de calor es de mayor temperatura.d) Grado de peligro por Deslizamientos: Para calcular el grado de susceptibilidad municipal por inestabilidad de laderas, se consideraron factores tales como la pendiente, la litología, y los usos del suelo. La suma aritmética y el peso de los diferentes factores para obtener el mapa de susceptibilidad se basaron en el estudio individual de algunos casos estudiados por el CENAPRED, al cual se les aplicó el formato para evaluación de laderas de la “Guía Básica para la elaboración de Atlas Estatales y Municipales de Peligros y Riesgos” (CENAPRED, 2015). | 07/16/2021 01:47:15 | ||
| 147132 | Cities 2020 | 2020 | 51374 | Prefeitura de Rio Branco | 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. | 10 | Completeness of data (%) | 7 | SO2 (Maximum 24-hour average) | Question not applicable | 07/16/2021 01:47:15 | |||
| 147133 | Cities 2020 | 2020 | 848970 | Villa Carlos Paz | 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. | 2 | Where data is not available, please explain why | 7 | Transportation – Scope 3 (II.X.3) | Question not applicable | 07/16/2021 01:47:15 | ||
| 147134 | Cities 2020 | 2020 | 31154 | Bogotá Distrito Capital | 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. | 7 | Please explain any excluded sources, identify any emissions covered under an ETS and provide any other comments | 17 | Waste > Wastewater | 07/16/2021 01:47:15 | |||
| 147135 | Cities 2020 | 2020 | 50365 | Municipalidad de Valparaíso | Chile | 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. | 1 | Climate hazards | 0 | 07/16/2021 01:47:15 | ||||
| 147136 | Cities 2020 | 2020 | 54697 | Prefeitura Municipal de Cerquilho | Brazil | Latin America | Water Security | Water Supply | 14.2b | Please explain why you do not consider your city to be exposed to any substantive water-related risk. | 2 | Please explain | 1 | Please explain | Question not applicable | 07/16/2021 01:47:15 | ||
| 147137 | Cities 2020 | 2020 | 52638 | Prefeitura de Aracaju | Brazil | Latin America | Climate Hazards and Vulnerability | Climate Hazards | 2.1a | Have you identified the most vulnerable geographic areas in your city? | 2 | Describe the methodology or process to identify these most vulnerable areas (e.g. mapping hotspots) | 1 | Vulnerable geographic areas | Question not applicable | 07/16/2021 01:47:15 | ||
| 147138 | Cities 2020 | 2020 | 832000 | Municipalidad de Desamparados | 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. | 2 | Category | 24 | Direct emissions | 07/16/2021 01:47:15 | |||
| 147139 | Cities 2020 | 2020 | 60414 | Municipalidad Venado Tuerto | 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. | 20 | Aim of the engagement activities | 16 | Question not applicable | 07/16/2021 01:47:15 | |||
| 147140 | Cities 2020 | 2020 | 849039 | Ceres (Argentina) | 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 | |||
| 147141 | Cities 2020 | 2020 | 834313 | Municipality of Tópaga | Colombia | Latin America | Governance and Data Management | Governance | 1.4 | Please list the stakeholder engagement activities for each relevant stakeholder group. | 3 | Name of the engagement activities | 0 | Question not applicable | 07/16/2021 01:47:15 | |||
| 147142 | Cities 2020 | 2020 | 840244 | Prefeitura de Águas da Prata | Brazil | Latin America | Transport | 10.2 | What is the mode share of each transport mode in your city for freight transport? | 1 | Mode share | 4 | Heavy Goods vehicles (HGV) | Question not applicable | 07/16/2021 01:47:15 | |||
| 147143 | Cities 2020 | 2020 | 826237 | Alcaldia de Madrid | Colombia | Latin America | Energy | 8.5a | Please provide details on your city’s energy efficiency targets. | 8 | Percentage of target achieved | 0 | Question not applicable | 07/16/2021 01:47:15 | ||||
| 147144 | Cities 2020 | 2020 | 54632 | Prefeitura de Caruaru | Brazil | Latin America | City-wide Emissions | City-wide external verification | 4.11 | Does your city have a strategy, or other policy document, in place for how to measure and reduce consumption-based GHG emissions in your city? | 1 | Response | 5 | Electronics | Question not applicable | 07/16/2021 01:47:15 | ||
| 147145 | Cities 2020 | 2020 | 73652 | Caseros | Argentina | Latin America | Transport | 10.9 | How many public access EV charging points do you have in your city and/or metropolitan area for the following types. | 2 | Number of charging points in your metropolitan area | 1 | Rapid 43 kw and above | Question not applicable | 07/16/2021 01:47:15 | |||
| 147146 | Cities 2020 | 2020 | 841269 | Municipalidad de Montecarlo | Argentina | 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 | 4 | Ferries / River boats | Question not applicable | 07/16/2021 01:47:15 | |||
| 147147 | Cities 2020 | 2020 | 848970 | Villa Carlos Paz | 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 | 4 | Population displacement | 07/16/2021 01:47:15 | |||
| 147148 | Cities 2020 | 2020 | 839650 | Ayuntamiento de Uriangato | 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. | 7 | Please explain any excluded sources, identify any emissions covered under an ETS and provide any other comments | 8 | Transportation > On-road | Question not applicable | 07/16/2021 01:47:15 | ||
| 147149 | Cities 2020 | 2020 | 35897 | Municipality of Campinas | 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. | 1 | Applicable sub-sector | 22 | CRF - Transportation > On-road | 07/16/2021 01:47:15 | |||
| 147150 | Cities 2020 | 2020 | 840926 | Prefeitura de Serra Talhada | 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 | Environment, biodiversity, forestry | 07/16/2021 01:47:15 |
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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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