This dataset provides a summary of all cities reporting to CDP in 2019 that are members of the Global Covenant of Mayors (GCOM). For detailed responses of the cities, please refer to the dataset titled GCOM Cities Responses 25th Sept 2019.

Cities house half the world’s population but represent almost two-thirds of global energy demand and 70% of carbon emissions from the energy sector. Therefore, our cities have a vital role to play in the transition to a sustainable economy. This dataset provides information on the fuel consumed in a city. The question in the 2017 CDP Questionnaire was as follows: "Please give the total amount of fuel (referring to Scope 1 emissions) consumed in your city during the reporting year."

Complete open data set for companies that responded to the 2014 water questionnaire.

Through our water program we target the largest listed companies in the world, as determined by market capitalization, in sectors for which water is a material issue. We currently cover the Global 500, S&P 500 and FTSE 100 indices as well as the largest companies in Australia, Japan and South Africa.

Water is also incorporated into CDP’s supply chain program. In this initiative, large multinational companies (our supply chain members) issue CDP’s water questionnaire to a number of their suppliers. This exercise allows companies to investigate the water risk in their supply chain and gather vital information about water use outside their direct operations.

This year, we have invited approximately 2,300 companies to respond to CDP’s water questionnaire through our water program. This data set excludes private responders.

To access more complete and recent data, please visit http://purchase.cdp.net

This dataset contains all data points for all cities reporting publicly in 2018. This is regularly updated automatically and has recent data.

CDP's water program motivates companies to disclose and reduce their environmental impacts by using the power of investors and customers. The data CDP collects help influential decision makers to reduce risk, capitalize on opportunities and drive action towards a more sustainable world. This dataset comes from question W1.4a asking companies to describe the detrimental impacts experienced by their organization related to water in the reporting year.

This dataset combines reported emissions and population data with external datasets:
- City Population, from the Geonames database
- Country GDP per capita from the World Bank
- Country emissions per capita from EDGAR

The results from the following data quality checks are displayed:
- Population Check - Comparison between reported populations and figures from the Geonames database
- Emissions Check 1 – A multiple regression model is used to identify statistical outliers (using city population and country GDP per capita)
- Emissions Check 2 - A comparison between city per capita emissions and country per capita emissions.

Field names:
geoid - A unique identifier corresponding to the city's record in the Geonames database
account_id - The CRM organisation ID
org_name - The CRM organisation name
rep.population - The reported population
rep.population.source - The source of the reported population. The population data used is primarily from question 4.5, as this figure corresponds to the year the inventory was taken. If no population is provided in question 4.5, then question 0.5 (current population) is used instead.
geo.population - The city population provided in the Geonames database (used to verify the reported population)
effective.population - After the population check has been carried out, the 'effective population' is defined for use in the subsequent emissions checks. If a city passes the population check, their reported data is used here, otherwise external data is used (i.e. from the Geonames database)
has.inventory - This is the city's response to question 4.0 in the 2019 questionnaire, which asks the city to state whether they have an emissions inventory to report
inventory.type - If the city has an emissions inventory, this field specifies the format that this inventory is provided in
effective.s1.s2.sum - The total scope 1 + scope 2 emissions reported by the city. This is obtained from either question 4.6a or 4.6b, depending on whether the city followed the CRF, or GPC
city.emissions.per.cap - The city's effective.s1.s2.sum is divided by the effective.population to calculate the emissions per capita for that city
country_co2e_per_capita_2012 - This is country level per capita emissions data obtained from: EDGAR’s Global Greenhouse Gas Emissions from 1970 to 2012 (EDGARv4.3.2 dataset). While the data used is from 2012, this is the most recent dataset available which includes all greenhouse gases. More recent datasets are available for CO2 alone, however this is not consistent with the cities' data, which generally includes other GHGs too. Link here: https://edgar.jrc.ec.europa.eu/overview.php?v=CO2andGHG1970-2016&dst=GHGpc
country.GDP.pc.2018 - This is country level GDP per capita in 2018 in US$, obtained from the World Bank. Link here: https://data.worldbank.org/indicator/NY.GDP.PCAP.KD
flag.population - The data quality flag identifying cities whose reported population differs from the external population by +/- 50%
flag.emissions.check1.statistical.outliers - The data quality flag identifying cities whose emissions appear to be anomalously high or low, based on a statistical regression with population and country GDP
flag.emissions.check2.per.capita.country - The data quality flag identifying cities whose per capita emissions differ greatly from the country per capita emissions (a generous theshold of 10x is used, as some variation is expected)

The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of CDP concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Shapefile used to delineate Jammu and Kashmir represents approximately the Line of Control in Jammu and Kashmir agreed upon by India and Pakistan.
Shapefiles used were sourced from GADM, which provides a wonderful resource of global administrative area data. http://www.gadm.org/

CDP is working in partnership with The Climate Group to provide the world’s first global platform for states and regions to measure, manage and disclose their greenhouse gas emissions. CDP and The Climate Group are united in their firm belief on the vital role that state and regional governments play in driving climate action and delivering sustainable economies that avoid dangerous climate change and leads to a net-zero emissions world.

Catalog of actions to reduce greenhouse gas emissions in cities, as reported by city governments participating in CDP in 2015. Activities are tagged by sector and cities provide detailed descriptions of each activity. Some cities also provide estimates of the total anticipated lifetime emissions that will be reduced from each activity.