This statistic displays the distribution of carbon dioxide emissions worldwide as of 2015, based on select regions. As of this year, some six percent of the global carbon dioxide emissions originated from the Middle East. Carbon dioxide can be removed from the atmosphere through reforestation, soil improvements, and other carbon sinks.

This statistic displays the distribution of energy-related carbon dioxide emissions worldwide in 2015, based on sector. During this year, some 22 percent of the global annual energy-related emissions were from the transportation sector. Carbon dioxide can be removed from the atmosphere through reforestation, soil improvements, and other carbon sinks.

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

Data sources: - Boden, T.A., G. Marland, and R.J. Andres. 2015. Global, Regional, and National Fossil-Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A. doi 10.3334/CDIAC/00001_V2015 Available online at:http://cdiac.ornl.gov/trends/emis/overview_2011.html . - Food and Agriculture Organization of the United Nations (FAO). 2014. FAOSTAT Emissions Database. Rome, Italy: FAO. Available at: http://faostat3.fao.org/download/G1/*/E - International Energy Agency (IEA). 2014. CO2 Emissions from Fuel Combustion (2014 edition). Paris, France: OECD/IEA. Available online at:http://data.iea.org/ieastore/statslisting.asp. © OECD/IEA, [2014]. - World Bank. 2014. World Development Indicators 2014. Washington, DC. Available at: http://data.worldbank.org/ Last Accessed May 18th, 2015 - U.S. Energy Information Administration (EIA). 2014. International Energy Statistics Washington, DC: U.S. Department of Energy. Available online at:http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm?tid=90&pid=44&aid=8 - U.S. Environmental Protection Agency (EPA). 2012. “Global Non-CO2 GHG Emissions: 1990-2030.” Washington, DC: EPA. Available at: http://www.epa.gov/climatechange/EPAactivities/economics/nonco2projections.html.

This time series represents global carbon dioxide (CO2) emissions from shipping from 2007 through 2015. In 2015, global shipping carbon dioxide emissions amounted to some 932 million metric tons.

Analysis of ‘CAIT - Country Greenhouse Gas Emissions Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/57c6dff7c751df24c697bae5 on 19 January 2022.

--- Dataset description provided by original source is as follows ---

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

Data sources: - Boden, T.A., G. Marland, and R.J. Andres. 2015. Global, Regional, and National Fossil-Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A. doi 10.3334/CDIAC/00001_V2015 Available online at:http://cdiac.ornl.gov/trends/emis/overview_2011.html . - Food and Agriculture Organization of the United Nations (FAO). 2014. FAOSTAT Emissions Database. Rome, Italy: FAO. Available at: http://faostat3.fao.org/download/G1/*/E - International Energy Agency (IEA). 2014. CO2 Emissions from Fuel Combustion (2014 edition). Paris, France: OECD/IEA. Available online at:http://data.iea.org/ieastore/statslisting.asp. © OECD/IEA, [2014]. - World Bank. 2014. World Development Indicators 2014. Washington, DC. Available at: http://data.worldbank.org/ Last Accessed May 18th, 2015 - U.S. Energy Information Administration (EIA). 2014. International Energy Statistics Washington, DC: U.S. Department of Energy. Available online at:http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm?tid=90&pid=44&aid=8 - U.S. Environmental Protection Agency (EPA). 2012. “Global Non-CO2 GHG Emissions: 1990-2030.” Washington, DC: EPA. Available at: http://www.epa.gov/climatechange/EPAactivities/economics/nonco2projections.html.

--- Original source retains full ownership of the source dataset ---

This statistic displays the percentage of carbon dioxide emissions emitted by the world population based on income levels. During this time those that were among the richest ** percent of the world population accounted for almost half of the world's carbon dioxide emissions, while the poorest ** percent were responsible for about ** percent of lifestyle consumption emissions.

Greenhouse gas emissions and economic inequality

Climate change and anthropogenic emissions have been closely linked to economic inequality. The poorest half of the global population, which accounts for about *** billion people, only accounts for *** percent of the total greenhouse gas emissions worldwide. However, many of these people reside in regions that are and will continue to be impacted the most by the negative effects caused by climate change, such as drought and food scarcity. On the other hand, the richest *** percent of the world generally have a carbon footprint that is ****** times greater than the poorest ** percent of the world. In 2014, the United States had a carbon footprint of **** acres per capita, compared to the global average of *** acres per capita.

Greenhouse gas emissions are considered one of the most important indicators of anthropogenic impacts on the environment. The Asia Pacific region accounted for **** billion metric tons of carbon dioxide (CO2) in 2014, comparatively, Africa accounted for just *** billion metric tons of CO2 emissions. In China, CO2 emissions have steadily risen over the last decade, accompanying their economic growth. In 2001, emissions in China grew from about *** billion metric tons to just over **** billion metric tons. As of 2015, China was the largest producer of CO2, accounting for over a quarter of the world’s emissions.

Publications containing historical energy statistics make it possible to estimate fossil fuel CO2 emissions back to 1751. Etemad et al. (1991) published a summary compilation that tabulates coal, brown coal, peat, and crude oil production by nation and year. Footnotes in the Etemad et al.(1991) publication extend the energy statistics time series back to 1751. Summary compilations of fossil fuel trade were published by Mitchell (1983, 1992, 1993, 1995). Mitchell's work tabulates solid and liquid fuel imports and exports by nation and year. These pre-1950 production and trade data were digitized and CO2 emission calculations were made following the procedures discussed in Marland and Rotty (1984) and Boden et al. (1995). Further details on the contents and processing of the historical energy statistics are provided in Andres et al. (1999). The 1950 to present CO2 emission estimates are derived primarily from energy statistics published by the United Nations (2014), using the methods of Marland and Rotty (1984). The energy statistics were compiled primarily from annual questionnaires distributed by the U.N. Statistical Office and supplemented by official national statistical publications. As stated in the introduction of the Statistical Yearbook, "in a few cases, official sources are supplemented by other sources and estimates, where these have been subjected to professional scrutiny and debate and are consistent with other independent sources." Data from the U.S. Department of Interior's Geological Survey (USGS 2014) were used to estimate CO2 emitted during cement production. Values for emissions from gas flaring were derived primarily from U.N. data but were supplemented with data from the U.S. Department of Energy's Energy Information Administration (1994), Rotty (1974), and data provided by G. Marland. Greater details about these methods are provided in Marland and Rotty (1984), Boden et al. (1995), and Andres et al. (1999).

HU: CO2 Emissions: Kg per USD of GDP 2015 Price data was reported at 0.318 kg in 2020. This records a decrease from the previous number of 0.321 kg for 2019. HU: CO2 Emissions: Kg per USD of GDP 2015 Price data is updated yearly, averaging 0.492 kg from Dec 1990 (Median) to 2020, with 31 observations. The data reached an all-time high of 0.820 kg in 1991 and a record low of 0.318 kg in 2020. HU: CO2 Emissions: Kg per USD of GDP 2015 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Environmental: Gas Emissions and Air Pollution. Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.;Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.KD for the denominator's source.;Weighted average;

Spain ES: CO2 Emissions: Kg per USD of(GDP) Gross Domestic Product2015 Price data was reported at 0.199 kg in 2018. This records a decrease from the previous number of 0.208 kg for 2017. Spain ES: CO2 Emissions: Kg per USD of(GDP) Gross Domestic Product2015 Price data is updated yearly, averaging 0.294 kg from Dec 1960 to 2018, with 59 observations. The data reached an all-time high of 0.390 kg in 1980 and a record low of 0.199 kg in 2018. Spain ES: CO2 Emissions: Kg per USD of(GDP) Gross Domestic Product2015 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Spain – Table ES.World Bank.WDI: Environment: Pollution. Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.; ; Data for up to 1990 are sourced from Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. Data from 1990 are CAIT data: Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.KD for the denominator's source.; Weighted average;

Laos LA: CO2 Emissions: Kg per USD of(GDP) Gross Domestic Product2015 Price data was reported at 1.032 kg in 2020. This records a decrease from the previous number of 1.037 kg for 2019. Laos LA: CO2 Emissions: Kg per USD of(GDP) Gross Domestic Product2015 Price data is updated yearly, averaging 0.198 kg from Dec 1990 (Median) to 2020, with 31 observations. The data reached an all-time high of 1.155 kg in 2017 and a record low of 0.181 kg in 2000. Laos LA: CO2 Emissions: Kg per USD of(GDP) Gross Domestic Product2015 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Environmental: Gas Emissions and Air Pollution. Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.;Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.KD for the denominator's source.;Weighted average;

The data in these Appendices to the Global Anthropogenic Emissions of Non-CO2 Greenhouse Gases (1990-2020) report provide historical and projected estimates of emissions from over 90 countries and 8 regions for all major non-CO2 greenhouse gas emission sources. The gases included in this data set are methane (CH4), nitrous oxide (N2O), and the high global warming potential (high GWP) gases (hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), and sulfur hexafluoride (SF6)). See the full report at https://www.epa.gov/climatechange/economics/international.html.

The monthly, fossil-fuel CO2 emissions estimates from 1950-2011 provided in this database are derived from time series of global, regional, and national fossil-fuel CO2 emissions (Boden et al. 2015), the references therein, and the methodology described in Andres et al. (2011). The data accessible here take these tabular, national, mass-emissions data and distribute them spatially on a one degree latitude by one degree longitude grid. The within-country spatial distribution is achieved through a fixed population distribution as reported in Andres et al. (1996). Note that the mass-emissions data used here are based on fossil-fuel consumption estimates as these are more representative of within country emissions than fossil-fuel production estimates (see http://cdiac.ess-dive.lbl.gov/faq.html#Q10 for a description why emission totals based upon consumption differ from those based upon production).

Marginal abatement curves (MAC) can be downloaded as data annexes to the Global Mitigation of Non-CO2 Greenhouse Gases report. This data allows for improved understanding of the mitigation potential for non-CO2 sources, as well as inclusion of non-CO2 greenhouse gas mitigation in economic modeling of multigas mitigation strategies. The full report at https://www.epa.gov/climatechange/economics/international.html.

Intel's greenhouse gas emissions in 2023 amounted to 0.89 million metric tons of CO2 equivalent, lower than the 1.53 million tons of CO2 equivalent that was recorded back in 2022.

Monthly CO2 emissions projections 2015-2025, modified by country-specific impacts of COVID-19 lockdown in 2020-2023, with 4 different projections for the period 2024-2025.

This repository holds the netcdf files for CO2 emissions from ground-level and aviation sources from the MESSAGE_GLOBIOM scenario SSP2-4.5, from the Scenario4MIPs database (https://esgf-node.llnl.gov/search/input4mips/), modified by the country and sector activity levels associated with lockdown for 2020. Sector activity level in 2020 is based on data up until June, and a fixed estimate is used thereafter. This is the monthly equivalent of https://zenodo.org/record/3951601#.XxYBsihKhPY for this time period.

Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/

see https://github.com/Priestley-Centre/COVID19_emissions for more details.

This time series represents global carbon dioxide (CO2) emissions from fishing on large shipping vessels from 2007 through 2015. In 2015, CO2 emissions from fishing vessels amounted to some 42 million metric tons.

Global carbon dioxide emissions from fossil fuels and industry totaled 37.01 billion metric tons (GtCO₂) in 2023. Emissions are projected to have risen 1.08 percent in 2024 to reach a record high of 37.41 GtCO₂. Since 1990, global CO₂ emissions have increased by more than 60 percent. Who are the biggest emitters? The biggest contributor to global GHG emissions is China, followed by the United States. China wasn't always the world's biggest emitter, but rapid economic growth and industrialization in recent decades have seen emissions there soar. Since 1990, CO₂ emissions in China have increased by almost 450 percent. By comparison, U.S. CO₂ emissions have fallen by 6.1 percent. Nevertheless, the North American country remains the biggest carbon polluter in history. Global events cause emissions to drop The outbreak of COVID-19 caused global CO₂ emissions to plummet some 5.5 percent in 2020 as a result of lockdowns and other restrictions. However, this wasn't the only time in recent history when a major global event caused emissions reductions. For example, the global recession resulted in CO₂ levels to fall by almost two percent in 2009, while the recession in the early 1980s also had a notable impact on emissions. On a percentage basis, the largest annual reduction was at the end of the Second World War in 1945, when emissions decreased by 17 percent.

The monthly, isotopic (δ 13C) fossil-fuel CO2 emissions estimates from 1950-2013 provided in this database are derived from time series of global, regional, and national fossil-fuel CO2 emissions (Boden et al. 2016), the references therein, and the methodology described in Andres et al. (2011). The data accessible here take these tabular, national, mass-emissions data, multiply them by stable carbon isotopic signatures (δ 13C) as described in Andres et al. (2000), and distribute them spatially on a one degree latitude by one degree longitude grid. The within-country spatial distribution is achieved through a fixed population distribution as reported in Andres et al. (1996). Note that the mass-emissions data used here are based on fossil-fuel consumption estimates as these are more representative of within country emissions than fossil-fuel production estimates (see http://cdiac.ess-dive.lbl.gov/faq.html#Q10 for a description why emission totals based upon consumption differ from those based upon production).