CAIT - Country Greenhouse Gas Emissions Data

Updated on 31 de agosto de 2016 — Creative Commons Attribution

World Resources Institute

WRI is a global research organization that turns big ideas into action at the nexus of environment, economic opportunity and human well-being.

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The CAIT Country GHG emissions collection applies a consistent methodology to create a six-gas, multi-sector, and internationally comparable data set for 186 countries.

CAIT enables data analysis by allowing users to quickly narrow down by year, gas, country/state, and sector. Automatic calculations for percent changes from prior year, per capita, and per GDP are also available. Users are presented with clear and customizable data visualizations that can be readily shared through unique URLs or embedded for further use online.

Data for Land-Use and Forestry indicator are provided by the Food and Agriculture Organization of the United Nations (FAO). WRI has been granted a non-exclusive, non-transferrable right to publish these data. Therefore, if users wish to republish this dataset in whole or in part, they should contact FAO directly at copyright@fao.org

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See also: community resources
54 downloads

caitcountryghgemissions-alldata.xlsx

Disponible
xlsx (2.1Mo)
Tipo
Main file
MIME Type
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
sha1
55ccdf72d9a43185dadde03f78facdcca69be472
Created on
31 de agosto de 2016
Modified on
31 de agosto de 2016
Published on
31 de agosto de 2016
16 downloads

CAIT - Country Greenhouse Gas Emissions Data - CSV (comma-separated values)

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zip (642.5Ko)

The CAIT Country GHG emissions collection applies a consistent methodology to create a six-gas, multi-sector, and internationally comparable data set for 186 countries.

Tipo
Main file
MIME Type
application/zip
sha1
2b2aa139ba9c935f9853c041e631c08238794207
Created on
31 de agosto de 2016
Modified on
31 de agosto de 2016
Published on
22 de junio de 2015

Community resources 0

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Reutilizaciones 1

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Discussion between the organization and the community about this dataset.