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 W3.2d asking companies to list the inherent water risks that could generate a substantive change in their business, operations, revenue or expenditure, the potential impact to their supply chain and the strategies to mitigate them.

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)

This dataset contains all climate adaptation actions disclosed publicly by cities in 2018.

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/

Dataset includes data and analysis for 4 scenarios for the Compact of States and Regions from 2010 to 2050. The scenarios incorporate IEA data ETP 2014 data.
To access more complete CDP data and analysis, please visit http://purchase.cdp.net and for terms on using CDP data, please see "Terms of use" above.
The Compact of States and Regions is run by CDP and The Climate Group.
To read the Compact of States and Regions 2016 report, please visit: https://www.cdp.net/en/cities/states-and-regions
To learn more about the Compact of States and Regions, please visit: https://www.theclimategroup.org/project/compact-states-and-regions
To learn more about the IEA ETP 2014, please visit: http://www.iea.org/etp/etp2014/

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 W3.2c asking companies to list the inherent water risks that could generate a substantive change in their business, operations, revenue or expenditure, the potential impact to their direct operations and the strategies to mitigate them.

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.

List of incentives that city governments provide to reduce greenhouse gas emissions in their cities. Contains the type of incentive (monetary, recognition, etc), the potential beneficiary, and a description.