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The emissions of carbon dioxide, methane, nitrous oxide, hydro-fluorocarbons, perfluorocarbons, sulphur hexafluoride, nitrogen trifluoride and total greenhouse gas emissions, by industry (SIC 2007 group –around 130 categories), UK, 1990 to 2020 and (provisional) 2021.

At their best, well-designed and ambitious net zero targets are key for reducing global carbon dioxide and other greenhouse gas emissions to net zero around 2050 and 2070, respectively. This is necessary to keep to the Paris Agreement’s 1.5°C temperature limit. Ambitious net zero targets can also guide the implementation of Paris-aligned actions in the short and medium term, in particular 2030 emission reduction goals.

The complete CO2 and Greenhouse Gas Emissions dataset is a collection of key metrics maintained by Our World in Data. It is updated regularly and includes data on CO2 emissions (annual, per capita, cumulative and consumption-based), other greenhouse gases, energy mix, and other relevant metrics.

The map visualises the 352 million assets included in the Climate TRACE emissions inventory. The default view when the page first loads shows emissions sources from all sectors across all geographies for the most-recent calendar year. It is possible to look up emissions estimates for nearly every major source of emissions in the world, from power plants, refineries, and road networks to areas of deforestation.

Climate TRACE’s global emissions inventory, released in September 2021, provides the first comprehensive accounting of GHG emissions based primarily on direct, independent observation. Each download package includes annual country-level emissions by sector and by greenhouse gas from 2015-2021, the applicable inventory of facility-level emissions, and facility-level ownership data where available.

Emissions Pathways are transformational process that delivers long-term emissions reductions and sustainable development in collaboration with local communities, businesses and other key actors. This dataset is published via Climate Watch, a free online platform designed to empower policymakers, researchers, media and other stakeholders with the open climate data, visualizations and resources they need to gather insights on national and global progress on climate change. The Paris Agreement requires participating countries to submit emission inventories that are based on activities within their territory. All the inventories on Climate Watch are based on this production-based accounting.

Under the Paris Agreement, countries are invited to communicate “mid-century long-term low greenhouse gas emissions development strategies” (long-term strategies, or LTS). These strategies are central to the goal of limiting global warming to well below 2°C and to pursue efforts to limit the increase to 1.5°C, representing a significant opportunity for countries to lay out their vision for achieving a low-carbon economy by 2050 while also pursuing sustainable development. It is advantageous for countries to align their NDCs and long-term strategies for consistency and to avoid the lock-in of carbon-intensive behavior, technologies and policies. This dataset is published via Climate Watch, a free online platform designed to empower policymakers, researchers, media and other stakeholders with the open climate data, visualizations and resources they need to gather insights on national and global progress on climate change. All the inventories on Climate Watch are based on this production-based accounting.

Under the Paris Agreement, nearly every nation made a commitment to tackle climate change and strengthen their efforts over time. To explore the content of these Nationally Determined Contributions (NDCs), search for key terms. Also, this dataset allows you to analyze and compare NDCs using over 150 structured indicators. Parties (representing 171 countries) have submitted their new or updated NDCs. This dataset is published via Climate Watch, a free online platform designed to empower policymakers, researchers, media and other stakeholders with the open climate data, visualizations and resources they need to gather insights on national and global progress on climate change. All the inventories on Climate Watch are based on this production-based accounting.

Identify potential alignment between the targets, actions, policy measures, and needs in countries' Nationally Determined Contributions (NDCs) and the Sustainable Development Goals (SDGs) targets. The analysis covers NDCs submitted prior to May 2021. This dataset is published via Climate Watch, a free online platform designed to empower policymakers, researchers, media, and other stakeholders with the open climate data, visualizations, and resources they need to gather insights on national and global progress on climate change. All the inventories on Climate Watch are based on this production-based accounting.

To avoid the worst climate impacts, global greenhouse gas (GHG) emissions must be slashed in half during the next decade and reach net-zero early in the second half of the century. Given this need, a growing number of Parties to the Paris Agreement are adopting net-zero emissions targets. This dataset contains the net-zero targets that have been communicated in a Party’s nationally determined contribution (NDC), long-term low GHG emissions development strategy (LTS), domestic law, policy, or high-level political pledge such as head of state commitment. The Paris Agreement requires participating countries to submit emission inventories that are based on activities within their territory. All the inventories on Climate Watch are based on this production-based accounting.

This API supports searching for emitting assets by sector, owner, location; query to get emissions and other asset details; and lookup of aggregated emission by countries.

The GHG Emission Calculator helps you calculate the environmental footprint created by a broad range of emission-generating activities. It simplifies the process of converting your operational activity data into CO2e (carbon dioxide equivalent) estimates, allowing you to understand your impact on the environment and identify actions to manage and reduce it. Operational activity data can be generated from any actions that result in greenhouse gas emissions, including vehicle rides, energy consumption, flights, logistical operations, manufacturing, agriculture, heating or cooling of buildings, and countless other daily activities. Using the Climatiq REST API, you can take data from your software and systems and automatically transform it into CO2e values, using emission factors from a range of validated sources available in the Open Emission Factor Database (OEFDB). The API is free (with registration) for limited non-commercial use, otherwise licence fees apply.

These files contain the publicly available data from the GHG Reporting Program for 2010. This data includes non-confidential data reported by facilities that directly emit GHGs. The files also contain non-confidential information reported by suppliers of fossil fuels and industrial gases. The files include data in both HTML (human readable) and XML format. For more information on the GHG Reporting Program and this data, please visit http://epa.gov/ghgreporting

The EV-GHG Mobile Source Data asset contains measured mobile source GHG emissions summary compliance information on light-duty vehicles, by model, for certification as required by the 1990 Amendments to the Clean Air Act, and as driven by the 2010 Presidential Memorandum Regarding Fuel Efficiency and the 2005 Supreme Court ruling in Massachusetts v. EPA that supported the regulation of CO2 as a pollutant. Manufacturers submit data on an annual basis, or as needed to document vehicle model changes. This asset will be expanded to include medium and heavy duty vehicles in the future.The EPA performs targeted GHG emissions tests on approximately 15% of vehicles submitted for certification. Confirmatory data on vehicles is associated with its corresponding submission data to verify the accuracy of manufacturer submissions beyond standard business rules.Submitted data comes in XML format or as documents, with the majority of submissions sent in XML, and includes descriptive information on the vehicle itself, emissions information, and the manufacturer's testing approach. This data may contain proprietary information (CBI) such as information on estimated sales or other data elements indicated by the submitter as confidential. CBI data is not publically available; however, CBI data can accessed within EPA under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Pollutants data includes CO2, CH4, N2O. Datasets are divided by vehicle/engine model and/or year with corresponding emission, test, and certification data. Data assets are stored in EPA's Verify system.Coverage began in 2011, with summary light duty data available to the public on request. Raw data is only available to select EPA employees.EV-GHG Mobile Source Data submission documents with metadata, certificate and summary decision information is stored in Verify after it has been quality assured. Where summary data appears inaccurate, OTAQ returns the entries for review to their originator.

The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on characteristics of almost all electric power generated in the United States. This data includes capacity; heat input; net generation; associated air emissions of nitrogen oxides, sulfur dioxide, carbon dioxide, methane, nitrous oxide and mercury; emissions rates; resource mix (i.e., generation by fuel type); nonbaseload calculations; line losses (a.k.a., grid gross loss); and many other attributes. The data is provided at the unit and generator levels, as well as, aggregated to the plant, state, balancing authority, eGRID subregion, NERC region, and US levels. As of January 2023, the available editions of eGRID contain data for years 2021, 2020, 2019, 2018, 2016, 2014, 2012, 2010, 2009, 2007, 2005, 2004, and 1996 through 2000.

The complete Energy dataset is a collection of key metrics maintained by Our World in Data. It is updated regularly and includes data on energy consumption (primary energy, per capita, and growth rates), energy mix, electricity mix and other relevant metrics.

This dataset is a breakdown of fossil CO2 emissions across various regions. It feeds into the Global Carbon Budget data. The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.”

The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for light duty vehicles. Data is collected by EPA to certify compliance with the applicable fuel economy provisions of the Energy Policy and Conservation Act (EPCA) and The Energy Independent Security Act of 2007

The data included in this IAI Statistical Report have been derived from voluntary reports of IAI Member and non-Member companies. Sources outside the industry or estimates are used for “World” and “China” regions only.

The Global Carbon Budget tracks the trends in global carbon emissions and sinks and is a key measure of progress towards the goals of the Paris Agreement. The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.”

The Global Climate Action portal is an online platform where actors from around the globe - countries, regions, cities, companies, investors and other organisations - can register their commitments to act on climate change.

Prompted by the urgency to scale up climate action, state, non-state and subnational actors have committed to facilitate the achievement of the Paris Agreement. With this Actor Tracker one can explore the individual actors and their engagements in climate action by using the different filters, or explore the progress tracking framework by navigating to a specific actor page.

This tool to gives you access to greenhouse gas data reported to EPA by large facilities and suppliers in the United States through EPA's Greenhouse Gas Reporting Program. The tool allows you to view data in several formats including maps, tables, charts and graphs for individual facilities or groups of facilities. You can search the data set for individual facilities by name or location or filter the data set by state or county, industry sectors and sub-sectors, annual facility emission thresholds, and greenhouse gas type. For more information on the GHG Reporting Program and this data, please visit https://www.epa.gov/ghgreporting

The Greenhouse Gas Reporting Program (GHGRP) collects Greenhouse Gas (GHG) data from large emitting facilities, suppliers of fossil fuels and industrial gases that result in GHG emissions when used, and facilities that inject carbon dioxide underground. The GHGRP (codified at 40 CFR Part 98) requires reporting of greenhouse gas (GHG) data and other relevant information from large GHG emission sources, fuel and industrial gas suppliers, and CO2 injection sites in the United States. This data can be used by businesses and others to track and compare facilities' greenhouse gas emissions, identify opportunities to cut pollution, minimize wasted energy, and save money. States, cities, and other communities can use EPA’s greenhouse gas data to find high-emitting facilities in their area, compare emissions between similar facilities, and develop common-sense climate policies.

This dataset is a breakdown of Land carbon flux (Dynamic Global Vegetation Models, 2012 – 2021 decadal mean) The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.”

Land carbon flux response to drivers: rising atmospheric CO2 and changes to climate (Dynamic Global Vegetation Models, 2012 – 2021 decadal mean) The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.”

The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for all types of vehicles (mobile sources of air pollution) excluding snowmobile, marine (diesel), and heavy duty engines whichsummary data is updated on an annual basis. Data is collected by EPA to certify compliance with the applicable fuel economy provisions of the Clean Air Act, Energy Policy and Conservation Act (EPCA) and the Energy Independent Security Act (EISA) of 2007.

The Mobile Source Emissions Regulatory Compliance Data Inventory data asset contains measured summary compliance information on light-duty, heavy-duty, and non-road engine manufacturers by model, as well as fee payment data required by Title II of the 1990 Amendments to the Clean Air Act, to certify engines for sale in the U.S. and collect compliance certification fees. Data submitted by manufacturers falls into 12 industries: Heavy Duty Compression Ignition, Marine Spark Ignition, Heavy Duty Spark Ignition, Marine Compression Ignition, Snowmobile, Motorcycle & ATV, Non-Road Compression Ignition, Non-Road Small Spark Ignition, Light-Duty, Evaporative Components, Non-Road Large Spark Ignition, and Locomotive. Title II also requires the collection of fees from manufacturers submitting for compliance certification. Manufacturers submit data on an annual basis, to document engine model changes for certification. Manufacturers also submit compliance information on already certified in-use vehicles randomly selected by the EPA (1) year into their life and (4) years into their life to ensure that emissions systems continue to function appropriately over time.The EPA performs targeted confirmatory tests on approximately 15% of vehicles submitted for certification. Confirmatory data on engines is associated with its corresponding submission data to verify the accuracy of manufacturer submission beyond standard business rules.Section 209 of the 1990 Amendments to the Clean Air Act grants the State of California the authority to set its own standards and perform its own compliance certification through the California Air Resources Board (CARB). Currently manufacturers submit compliance information separately to both the EPA and CARB. Currently, data harmonization occurs between EPA data and CARB data only for Motorcycle & ATV submissions.Submitted data comes in XML format or as documents, with the majority of submissions being sent in XML. Data includes descriptive information on the engine itself, as well as on manufacturer testing methods and results. Submissions may include information (CBI) such as information on estimated sales, new technologies, catalysts and calibration, or other data elements indicated by the submitter as confidential. CBI data is not publically available, but it is available within EPA under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Pollution emission data covers a range of Criteria Air Pollutants (CAPs) including carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter. Datasets are segmented by vehicle/engine model and year, with corresponding emission, test, and certification data. Data assets are primarily stored in EPA's Verify system. Data collected from the Heavy Duty Compression Ignition, Marine Spark Ignition, Heavy Duty Spark Ignition, Marine Compression Ignition, and Snowmobile industries, however, are currently stored in legacy systems the will be migrated to Verify in the future.Coverage began in 1979, with early records being primarily paper documents that did not go through the same level of validation as the digital submissions that began in 2005.Mobile Source Emissions Compliance documents with metadata, certificate and summary decision information is made available to the public through EPA.gov via the OTAQ Document Index System (http://iaspub.epa.gov/otaqpub/).

The Mobility Trends County Modeling dataset consists of the accumulation of the three performance metrics: VMT, GHG, and TMS, alongside each of the trend indicators: GDP, Population, Lane Miles, Unemployment Rate, Charging Stations, Telework, Unlinked Passenger Trips, E-commerce, Population Density, and on-demand service revenue. The goal of Mobility Trends and Future Demand research project is to enhance FHWA’s empirical understanding of the impact of trends on travel behavior and transportation demand, and ultimately system performance and the user experience. At the core of this research project is the identification and analysis of trends to support a variety of modeling, forecasting, and ‘what if’ projections to support policy and decision making.

The Mobility Trends County Modeling dataset consists of the accumulation of the three performance metrics: VMT, GHG, and TMS, alongside each of the trend indicators: GDP, Population, Lane Miles, Unemployment Rate, Charging Stations, Telework, Unlinked Passenger Trips, E-commerce, Population Density, and on-demand service revenue. The goal of Mobility Trends and Future Demand research project is to enhance FHWA’s empirical understanding of the impact of trends on travel behavior and transportation demand, and ultimately system performance and the user experience. At the core of this research project is the identification and analysis of trends to support a variety of modeling, forecasting, and ‘what if’ projections to support policy and decision making.

The directory helps financial sector stakeholders identify important and relevant climate-related data sources to meet their needs and facilitate access to these data. It also facilitates the identification of potential data gaps (where raw data items needed to construct a metric are not available) and creates incentives to bridge such gaps. As a living catalogue of available climate-related data sources for financial sector stakeholders, the directory is a public good. Besides, in fostering the establishment of comparable and consistent climate data, the directory can support the implementation of the International Sustainability Standards Board (ISSB) global standards. Hence, the NGFS hopes it will be used widely by financial sector stakeholders and the public globally, as a widespread adoption will in turn allow users to feedback to NGFS on the latest data sources and sustain the relevance of the directory. They urge all interested participants to take advantage of this new tool and leverage it to effectively green the financial system.

NZDPU Data Explorer is a centralised repository of global company-level greenhouse gas emissions data.

This dataset is a breakdown of territorial and consumption emissions including emission transfer across various regions. It feeds into the Global Carbon Budget data. The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.”

This dataset is a breakdown of land use change carbon emissions across various regions. It feeds into the Global Carbon Budget data. The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.”

This dataset is a breakdown of ocean carbon flux and response to drivers: atmospheric co2 and changes to climate. It feeds into the Global Carbon Budget data. The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.”

This dataset is a breakdown of Ocean carbon flux (Gridded surface ocean pCO2-based data products estimate, 2012 – 2021 decadal mean). It feeds into the Global Carbon Budget data. The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.

A open access database of emission factors, designed to be constantly updated by contributors across the spectrum of sustainability researchers and professionals. It is freely available to all (with a sharealike license), and maintained and validated by the team at Climatiq The maintainers ambition is for this to be the world's most granular, accurate and up-to-date emission factor database, for all to use in their efforts to drive action on the climate crisis.

This file contains a summary of the publicly available data from the GHG Reporting Program for 2010. This data includes non-confidential data reported by facilities that directly emit GHGs. The files also contain non-confidential information reported by suppliers of fossil fuels and industrial gases. This excel file contains the same information available in the Data Publication Tool. The file contains the most important, high-level information reported by direct emitters and suppliers and can be easily sorted to respond to many common queries. Please visit https://www.epa.gov/ghgreporting for more information on the data.

Surface fCO2 and air-sea CO2 3D flux data (longitude, latitude, time) The data and model output provided are freely available and were furnished by individual scientists who encourage their use. Citation: Please cite the Global Carbon Budget 2022 (Friedlingstein et al., 2022b, ESSD) for all data. Acknowledgement: Please add the following text in the acknowledgement of your paper: “We acknowledge the Global Carbon Project, which is responsible for the Global Carbon Budget and we thank [relevant modelling groups] for producing and making available their model output.”

The NAEI compiles estimates of emissions to the atmosphere from UK sources such as cars, trucks, power stations and industrial plant. These emissions are estimated to help to find ways of reducing the impact of human activities on the environment and our health.

This interactive map shows Greenhouse Gas emissions totals by Local Authority from the UK National Atmospheric Emissions Inventory for 2021. Users can choose to show different sectors on the map, and select a specific Local Authority by clicking on the map, or selecting the name from the menu next to the map. Once users click a Local Authority region, any point sources within that region will be shown and they can click on the icon to view further details.

The data selector search allows users to find UK data. Please note that the greenhouse gas emissions data includes the United Kingdom, Guernsey, Jersey, the Isle of Man, Gibraltar, Bermuda, Cayman Islands and the Falkland Islands (consistent with reporting to the UNFCCC). For other pollutants, the data includes only the UK and Gibraltar (consistent with UNECE reporting). Data are available back to 1990 for greenhouse gases, 1980 for ammonia and 1970 for all other pollutants. If selecting individual gases, note that methane and nitrous oxide are presented as a mass of gas without accounting for their respective global warming potentials, and CO2 is presented as mass of carbon in CO2, so should be multiplied by 44/12 to convert to a mass of CO2.

In accordance with Articles 4 and 12 of the Climate Change Convention and the relevant decisions of the Conference of the Parties, countries that are Parties to the Convention submit national greenhouse gas (GHG) inventories to the Climate Change Secretariat. These submissions are made in accordance with the reporting requirements adopted under the Convention, such as the revised “Guidelines for the preparation of national communications by Parties included in Annex I to the Convention, Part I: UNFCCC reporting guidelines on annual greenhouse gas inventories” (decision 24/CP.19) for Annex I Parties and “Guidelines for the preparation of national communications for non-Annex I Parties” (decision 17/CP.8). The inventory data are provided in the annual GHG inventory submissions by Annex I Parties and in the national communications and biennial update reports by non-Annex I Parties.

"The UNFCCC secretariat has prepared this greenhouse gas (GHG) emissions calculator to provide the general public with a free and up-to-date methodology for estimating GHG emissions. This Spreadsheet aims only to support organisations to estimate their GHG emissions in order to raise awareness and to promote climate action. However, the UNFCCC secretariat makes no representations as to the accuracy, completeness, suitability or validity of any information on this Spreadsheet and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its display or use. All information is provided on an “as-is” basis. All data and information provided on this Spreadsheet are for reference purposes only. The emission factors used on this Spreadsheet are publicly available on third parties’ websites and the links are provided in the tab ‘Info and sources’. The contents in, and linked to, this spreadsheet do not reflect the policy or position of the UNFCCC nor the UNFCCC secretariat’s and do not imply UNFCCC secretariat’s endorsement. Under no circumstances shall the UNFCCC be liable for any loss, damage, liability or expense incurred or suffered that is claimed to have resulted from the use of this Spreadsheet, its data or its methodology, or from the conduct of any user. Use of this Spreadsheet and reliance upon the content in or linked to it is solely at the user’s own risk.

The Environmental and Occupational Safety (EOS) data includes water, energy and greenhouse gas emissions, waste and occupational safety. The dataset is also reflected in the Assured Unilever Environmental and Occupational Safety PDF, accompanied by the relevant assurance symbols for each reporting year

The data on Unilever’s environmental impacts including waste and plastic packaging, greenhouse gas emissions and energy use, water use and sustainable sourcing.

Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use.

The World Bank’s ESG Data provides information on 17 key sustainability themes spanning environmental, social, and governance categories in order to shift financial flows so that they are better aligned with global goals.