Electricity generation by class of electricity producer (electric utilities, electricity producers, industries, etc.) and type of electricity generation (hydroelectric, combustible fuels, wind, etc.). Data are presented at the national and provincial levels, however not all combinations are available.

The domain of interest is Energy; however, the focus is to observe the trends between the different sources used for electricity generation among Canada and its provinces from 2005 to 2016, and to compare the trends for electricity generation to electricity consumption in Canada from 2005 to 2015. The main problem that will be investigated is how much of a particular source is used for electricity generation in Canada over these eleven years and what is the least and most used source of electricity generation over Canada. It will also be observed whether the proportion of electricity generated by each source in Canada during 2016, is consistent with the proportion of electricity generated by each source in every province. Additionally electricity consumption for the provinces will be studied to determine which province consumes the most and least amounts of electricity in Canada. The significance of this problem is to understand which sources are highly used to generate electric power in the provinces and in Canada. If a source is being used the most in Canada and in the provinces, it will lead us to find possible ways to generate electricity from the least used sources, so the country and its provinces do not depend on one source for electric power. It will also be observed if the electricity generation by each province has increased, decreased or remain constant from 2005-2016. From this data we can also infer which province generates the most and least amount of electric power and determine which abundant resources are available to each province for its electricity generation. Moreover, by comparing the trends for electricity consumption and electricity generation it will be observed if any province consumes more electricity than it generates. If so we can find ways to provide that province with more electrcity by importing it from other provinces.

This table contains 1155 series, with data for years 2011-2019 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Type of dwelling (7 items: Single-detached; Double; Row or terrace; Duplex; ...); Energy type (4 items: Total, all energy types; Electricity; Natural gas; Heating oil); Energy consumption (4 items: Gigajoules; Gigajoules per household; Proportion of total energy; Number of households).

Electric power generation, fuel consumed, and cost of fuel. Fuels include coal, petroleum products, uranium and others. Data presented at the national and provincial levels, however not all combinations are available.

Canada CA: Renewable Electricity Output: % of Total Electricity Output data was reported at 67.287 % in 2021. This records an increase from the previous number of 67.109 % for 2020. Canada CA: Renewable Electricity Output: % of Total Electricity Output data is updated yearly, averaging 61.613 % from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 67.287 % in 2021 and a record low of 58.072 % in 2001. Canada CA: Renewable Electricity Output: % of Total Electricity Output data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Environmental: Energy Production and Consumption. Renewable electricity is the share of electrity generated by renewable power plants in total electricity generated by all types of plants.;IEA Energy Statistics Data Browser, https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser;Weighted average;

Forecast: Share of Renewable Electricity Generation in Canada 2024 - 2028 Discover more data with ReportLinker!

A data set specially produced for HackQC and combining, in near real time: * the sources of electricity produced in Quebec; * the exports and imports of electricity, by market; * the sources of imported electricity, by market; * the sources of electricity supplied by Hydro-Québec; * the sources of electricity supplied by Hydro-Québec; * the GHG emissions associated with the electricity consumed in Quebec; * the GHG emissions associated with the electricity consumed in Quebec (1). (1) Except for the electricity consumed in municipal networks and networks autonomous. ## Method Extraction and modeling of data from public sources external to the company. All data sources used are public, either in the form of open data or publicly released information. ## Information useful for interpreting data This is an order of magnitude used to estimate GHG emissions. It can be assumed that the MW correspond to the MWh of that same hour. Data on the sources of electricity produced in Quebec are collected every hour, at half an hour, at 8:30am, 9:30am, etc., with a delay of 90 minutes (360 minutes for the thermal source). Export and import data include transit transits, which represent only a small percentage of trade. This data is not suitable for the legal needs for the production of GHG emissions inventories by customers. Instead, these needs are met by the label (www.hydroquebec.com/developpement-durable/documentation-specialisee/rates-emission-ges.html). ## Description of labels Files can contain textual data (e.g. “Montreal”), numerical data (e.g. “Montreal”), numerical data (e.g. “2021-05-21”), and geometric data (e.g., “46°48'44””). They are organized using labels that correspond to categories. Here are the labels and their description: * LastExecuted: date and time of the last measurement available (in UTC); * date: date and time of the measurement. ### Quebec_Production_Sources Sources of electricity produced in Quebec, in megawatts (MW). * total (numerical). * total (numerical): total (numerical): total electricity production (MW); * wind energy (digital): production of electricity from wind sources (MW); * others (digital): production of electricity from installations belonging to independent producers of different renewable sources (MW); * solar (digital): electricity production from solar source (MW); * thermal (digital): electricity production from thermal source (MW). ### Net exports (exports — imports) of electricity, by market. ### Net exports (exports — imports) of electricity, by market. Data includes transit transits, which represent only a small percentage of trade. * total (numerical): total quantity of electricity exported by Quebec to New England states, New Brunswick, New York State, and Ontario (MW); * NewEngland (numerical): total quantity of electricity exported by Quebec to New England states (MW); * NewBrunswick (numerical): total quantity of electricity exported by Quebec to New England states (MW); * NewBrunswick (numerical): total quantity of electricity exported by Quebec to New Brunswick (MW); * NewYork (numerical): total quantity of electricity exported by Quebec to New York State (MW); * Ontario (numerical); * Ontario (numerical): total quantity of electricity exported by Quebec to Ontario (MW). ### Importations_Sources Sources of imported electricity, by market. The data includes transit transits, which represent only a small percentage of trade. #### Ontario: * total (numerical): total quantity of electricity imported from Ontario (MW); * hydro (digital): quantity of electricity imported from hydraulic source (MW); * wind (numerical); * wind (numerical): quantity of electricity imported from wind source (MW); * solar (digital): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from); * gas (numerical): quantity of imported electricity using natural gas (MW) as a source; * nuclear (numerical): quantity of electricity imported from nuclear source (MW). #### NewYork: * total (numerical): total quantity of electricity imported from New York State (MW); * hydro (digital): quantity of electricity imported from a hydraulic source (MW); * wind (digital): quantity of electricity imported from wind source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source digital): quantity of imported electricity using biomass (MW) as a source; * oil (digital): quantity of imported electricity using biomass as a source (MW); * oil (digital): quantity of imported electricity based on biomass (MW) as a source; * oil (digital): quantity of imported electricity based on oil (MW); * gas (numerical): quantity of electricity imported using natural gas (MW) as a source; * nuclear (numerical): quantity of electricity imported from nuclear source (MW); * coal (numerical): quantity of imported electricity using coal as a source (MW); * other_fossils (numerical); * other_fossils (numerical): quantity of electricity imported using other fossil fuels as a source (MW). #### NewBrunswick: * total (numerical): total quantity of electricity imported from New Brunswick (MW); * electricity (numerical): quantity of electricity imported from all sources combined (MW). #### NewEngland: * total (numerical): total quantity of electricity imported from New England states (MW); * hydro (digital): quantity of electricity imported from hydraulic source (MW); * wind (digital); * wind (digital): quantity of electricity imported from wind source (MW); * solar (digital): quantity of electricity imported from solar source (MW); * biomass (digital): quantity of imported electricity based on biomass (MW); * oil (digital): quantity of imported electricity having as a source oil (MW); * gas (numerical): quantity of imported electricity using natural gas (MW) as a source; * nuclear (numerical): quantity of electricity imported from a nuclear source (MW); * coal (digital): quantity of imported electricity using coal as a source (MW); * quantity of imported electricity using coal as a source (MW) as a source; * other_fossils (numerical): quantity of imported electricity using other fossil fuels as a source (MW): quantity of imported electricity based on coal (MW) as a source; * quantity of imported electricity using coal as a source (MW) as a source; * other_fossils (numerical): quantity of imported electricity using coal as a source (MW) as a source; * other_fossils (numerical): quantity of electricity imported from other fossil fuels (MW) as a source (MW) _Consumption_Sources Sources of electricity supplied by Hydro-Québec. The total electricity consumption in megawatts (MW) is calculated from the values of production and exchanges. * total (numerical): total electricity consumption (MW); * hydraulic (numerical): electricity consumption from a hydraulic source (MW); * wind power (MW); * wind energy (numerical): electricity consumption from wind sources (MW); * others (numerical): consumption of electricity from other renewable sources (installations belonging to independent producers in Quebec) (MW); * solar (digital): source electricity consumption solar (MW); * thermal (digital): consumption of electricity from thermal source (MW); * geothermal (digital): consumption of electricity from geothermal source (MW); * biomass (digital): consumption of electricity based on biomass (MW); * nuclear (digital): consumption of electricity from a nuclear source (MW); * nuclear (digital): consumption of electricity from nuclear source (MW). ### Quebec_consummation_ges GHG emissions produced by electricity consumption in Quebec (including the GHGs emitted to produce imported electricity, therefore emitted outside Quebec). * total (numerical): total direct GHG emissions, in kilograms of CO2 equivalent (kg); * intensity (numerical): direct GHG emissions, in grams of CO2 equivalent per kilowatt hour (g/kWh)

Over the past half a century, the world's electricity consumption has continuously grown, reaching approximately 27,000 terawatt-hours by 2023. Between 1980 and 2023, electricity consumption more than tripled, while the global population reached eight billion people. Growth in industrialization and electricity access across the globe have further boosted electricity demand. China's economic rise and growth in global power use Since 2000, China's GDP has recorded an astonishing 15-fold increase, turning it into the second-largest global economy, behind only the United States. To fuel the development of its billion-strong population and various manufacturing industries, China requires more energy than any other country. As a result, it has become the largest electricity consumer in the world. Electricity consumption per capita In terms of per capita electricity consumption, China and other BRIC countries are still vastly outpaced by developed economies with smaller population sizes. Iceland, with a population of less than half a million inhabitants, consumes by far the most electricity per person in the world. Norway, Qatar, Canada, and the United States also have among the highest consumption rates. Multiple contributing factors such as the existence of power-intensive industries, household sizes, living situations, appliance and efficiency standards, and access to alternative heating fuels determine the amount of electricity the average person requires in each country.

This dataset displays the amount of hydroelectric power that was consumed on a nation level. The dataset covers the time period spanning from 1980 to 2005. Data is available for 200+ countries. This data is scalled at: Billion Kilowatt hours. Data references:Energy Information Administration International Energy Annual 2005 Table Posted: September 11, 2007 Next Update: June 2008 This data is available directly at: http://www.eia.doe.gov/fuelrenewable.html Access Date: November 8, 2007.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Canada. Power Plant emissions from all power plants in Canada were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information

This table contains 2304 series, with data for years 2013 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (48 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...) Primary heating system and type of energy (48 items: All primary heating systems; Electricity; Natural gas; Oil; ...).

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions and power plant types around the world by country. This information was obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The location of the countries is placed by lat/lon coordinates that was provided by CARMA. The dataset provides the country, region type, plant count, and lat/lon for each individual country. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. % Fossil: The percentage of total electricity that is generated by the combustion of coal, oil, or natural gas. % Hydro: The percentage of total electricity that is generated by hydroelectric power facilities. % Nuclear: The percentage of total electricity that is generated by nuclear power facilities. % Other Renewable: The percentage of total electricity that is generated by the use of wind, solar, biomass, geothermal, captured heat, or hydrogen energy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information

Share-of-Periods-With-Dividend-Payments-In-Percent Time Series for Fortis Inc. Fortis Inc. operates as an electric and gas utility company in Canada, the United States, and the Caribbean countries. It generates, transmits, and distributes electricity to approximately 452,000 retail customers in southeastern Arizona, including the greater Tucson metropolitan area; and 105,000 retail customers in southeastern Arizona with an aggregate capacity of 3,442 megawatts (MW). The company also sells wholesale electricity to other entities in the western United States; owns gas-fired and hydroelectric generating capacity totaling 43 MW; and distributes natural gas to approximately 1,0,000 residential, commercial, and industrial customers in British Columbia, Canada. In addition, it owns and operates the electricity distribution system that serves approximately 592,000 customers in southern and central Alberta; owns four hydroelectric generating facilities with a combined capacity of 225 MW; and provides operation, maintenance, and management services to hydroelectric generating facilities. Further, the company distributes electricity in the island portion of Newfoundland and Labrador with an installed generating capacity of 145 MW; and on Prince Edward Island with a generating capacity of 90 MW. Additionally, it provides integrated electric utility service to approximately 70,000 customers in Ontario; approximately 277,000 customers in Newfoundland and Labrador; approximately 35,000 customers on Grand Cayman, Cayman Islands; and approximately 18,000 customers on certain islands in Turks and Caicos. It also owns and operates approximately 91,100 circuit Kilometers (km) of distribution lines; and approximately 51,700 km of natural gas pipelines. Fortis Inc. was founded in 1885 and is headquartered in Saint John's, Canada.

Research hypotheses: Trade-sensitive and carbon intensive sectors and workers are more likely to reject carbon taxation than those who are sheltered and cleaner. Individual level dataset: Data from the 2019 and 2021 Canadian Election Study (CES). Assess the relationship between respondents' employment profile and their views on carbon taxation and environmental policy more broadly. Respondents are geocoded at the provincial level and are asked to specify in writing their occupation. Manually coded respondents' 2-digit NAICS occupation classification and matched them with the trade and emission-intensity data. Employ modified specification to account for job-specific trade-sensitivity (1) and carbon-intensity (2). Data on sector-specific GHG emissions and exposure to trade are provided by Statistics Canada. Ecological data: To account for job and constituency-specific carbon emissions, I leverage Canada's GHG inventory compiled by Statistics Canada. The inventory breaks down yearly emissions by NAICS industrial sectors at the provincial level. Using Statistics Canada's employment data, I first divide our emission data by industrial and provincial employment profiles in order to account for each jobs's carbon intensity at the provincial level. I then match these data with constituency-specific employment profiles to account for overall emissions at the riding-level. Insofar as employment data at the constituency-level are drawn from the national quinquennial census of 2011, 2016 and 2021, I perform linear extrapolations in order to balance the dataset, thus covering the full 2015-2021 period. Another factor behind "carbon layoffs'' is exposure to trade. I first leverage Statistics Canada's trade flows data. Trade flows are provided both at the industry-level on a province by province basis, whereas employment profile is broken down at the constituency-level. Following Yamazaki (2017), I build a constituency-specific trade-sensitivity index. Data on constituency-level sociodemographic characteristics --unemployment, minority share, BA share, car commuters' share, household income and population density-- all come from the Canadian Census. Linear extrapolations are performed in order to balance the dataset. I leverage Election Canada's constituency-level data to account for the vote share captured by anti-carbon tax parties (the Conservative Party and the People's) between 2015 and 2021. Regional gas prices stem from both Kalibrate and Statistics Canada. The yearly share of non-carbon energy sources (hydro, renewable, nuclear) in the provincial electricity mix is provided by Statistics Canada. Finally, constituency-level belief in the existence of anthropogenic climate change comes from the 2016 and 2018 Canadian Climate Opinion Maps, from the Yale program on Climate Change and Communication.

A data set specially produced for HackQC and combining, in near real time: * the sources of electricity produced in Quebec; * the exports and imports of electricity, by market; * the sources of imported electricity, by market; * the sources of electricity supplied by Hydro-Québec; * the sources of electricity supplied by Hydro-Québec; * the GHG emissions associated with the electricity consumed in Quebec; * the GHG emissions associated with the electricity consumed in Quebec (1). (1) Except for the electricity consumed in municipal networks and networks autonomous. ## Method Extraction and modeling of data from public sources external to the company. All data sources used are public, either in the form of open data or publicly released information. ## Information useful for interpreting data This is an order of magnitude used to estimate GHG emissions. It can be assumed that the MW correspond to the MWh of that same hour. Data on the sources of electricity produced in Quebec are collected every hour, at half an hour, at 8:30am, 9:30am, etc., with a delay of 90 minutes (360 minutes for the thermal source). Export and import data include transit transits, which represent only a small percentage of trade. This data is not suitable for the legal needs for the production of GHG emissions inventories by customers. Instead, these needs are met by the label (www.hydroquebec.com/developpement-durable/documentation-specialisee/rates-emission-ges.html). ## Description of labels Files can contain textual data (e.g. “Montreal”), numerical data (e.g. “Montreal”), numerical data (e.g. “2021-05-21”), and geometric data (e.g., “46°48'44””). They are organized using labels that correspond to categories. Here are the labels and their description: * LastExecuted: date and time of the last measurement available (in UTC); * date: date and time of the measurement. ### Quebec_Production_Sources Sources of electricity produced in Quebec, in megawatts (MW). * total (numerical). * total (numerical): total (numerical): total electricity production (MW); * wind energy (digital): production of electricity from wind sources (MW); * others (digital): production of electricity from installations belonging to independent producers of different renewable sources (MW); * solar (digital): electricity production from solar source (MW); * thermal (digital): electricity production from thermal source (MW). ### Net exports (exports — imports) of electricity, by market. ### Net exports (exports — imports) of electricity, by market. Data includes transit transits, which represent only a small percentage of trade. * total (numerical): total quantity of electricity exported by Quebec to New England states, New Brunswick, New York State, and Ontario (MW); * NewEngland (numerical): total quantity of electricity exported by Quebec to New England states (MW); * NewBrunswick (numerical): total quantity of electricity exported by Quebec to New England states (MW); * NewBrunswick (numerical): total quantity of electricity exported by Quebec to New Brunswick (MW); * NewYork (numerical): total quantity of electricity exported by Quebec to New York State (MW); * Ontario (numerical); * Ontario (numerical): total quantity of electricity exported by Quebec to Ontario (MW). ### Importations_Sources Sources of imported electricity, by market. The data includes transit transits, which represent only a small percentage of trade. #### Ontario: * total (numerical): total quantity of electricity imported from Ontario (MW); * hydro (digital): quantity of electricity imported from hydraulic source (MW); * wind (numerical); * wind (numerical): quantity of electricity imported from wind source (MW); * solar (digital): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from solar source (MW); * wind (numerical): quantity of electricity imported from); * gas (numerical): quantity of imported electricity using natural gas (MW) as a source; * nuclear (numerical): quantity of electricity imported from nuclear source (MW). #### NewYork: * total (numerical): total quantity of electricity imported from New York State (MW); * hydro (digital): quantity of electricity imported from a hydraulic source (MW); * wind (digital): quantity of electricity imported from wind source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source (MW); * wind (digital): quantity of electricity imported from a solar source digital): quantity of imported electricity using biomass (MW) as a source; * oil (digital): quantity of imported electricity using biomass as a source (MW); * oil (digital): quantity of imported electricity based on biomass (MW) as a source; * oil (digital): quantity of imported electricity based on oil (MW); * gas (numerical): quantity of electricity imported using natural gas (MW) as a source; * nuclear (numerical): quantity of electricity imported from nuclear source (MW); * coal (numerical): quantity of imported electricity using coal as a source (MW); * other_fossils (numerical); * other_fossils (numerical): quantity of electricity imported using other fossil fuels as a source (MW). #### NewBrunswick: * total (numerical): total quantity of electricity imported from New Brunswick (MW); * electricity (numerical): quantity of electricity imported from all sources combined (MW). #### NewEngland: * total (numerical): total quantity of electricity imported from New England states (MW); * hydro (digital): quantity of electricity imported from hydraulic source (MW); * wind (digital); * wind (digital): quantity of electricity imported from wind source (MW); * solar (digital): quantity of electricity imported from solar source (MW); * biomass (digital): quantity of imported electricity based on biomass (MW); * oil (digital): quantity of imported electricity having as a source oil (MW); * gas (numerical): quantity of imported electricity using natural gas (MW) as a source; * nuclear (numerical): quantity of electricity imported from a nuclear source (MW); * coal (digital): quantity of imported electricity using coal as a source (MW); * quantity of imported electricity using coal as a source (MW) as a source; * other_fossils (numerical): quantity of imported electricity using other fossil fuels as a source (MW): quantity of imported electricity based on coal (MW) as a source; * quantity of imported electricity using coal as a source (MW) as a source; * other_fossils (numerical): quantity of imported electricity using coal as a source (MW) as a source; * other_fossils (numerical): quantity of electricity imported from other fossil fuels (MW) as a source (MW) _Consumption_Sources Sources of electricity supplied by Hydro-Québec. The total electricity consumption in megawatts (MW) is calculated from the values of production and exchanges. * total (numerical): total electricity consumption (MW); * hydraulic (numerical): electricity consumption from a hydraulic source (MW); * wind power (MW); * wind energy (numerical): electricity consumption from wind sources (MW); * others (numerical): consumption of electricity from other renewable sources (installations belonging to independent producers in Quebec) (MW); * solar (digital): source electricity consumption solar (MW); * thermal (digital): consumption of electricity from thermal source (MW); * geothermal (digital): consumption of electricity from geothermal source (MW); * biomass (digital): consumption of electricity based on biomass (MW); * nuclear (digital): consumption of electricity from a nuclear source (MW); * nuclear (digital): consumption of electricity from nuclear source (MW). ### Quebec_consummation_ges GHG emissions produced by electricity consumption in Quebec (including the GHGs emitted to produce imported electricity, therefore emitted outside Quebec). * total (numerical): total direct GHG emissions, in kilograms of CO2 equivalent (kg); * intensity (numerical): direct GHG emissions, in grams of CO2 equivalent per kilowatt hour (g/kWh)

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows six condensed maps illustrating the occurrence of important characteristics of farms. The two maps at the top show the distribution of part-time farms and occupied farms. Each of these two maps is accompanied by a pie chart showing percentage distribution of both classifications of farm operations for Canada by province. A third map shows the percentage of occupied farm lands that are occupied by owners. This map is accompanied by a chart showing the percentage of farmland, nationally and provincially, that is operated by an owner or manager. The fourth map shows the percentage of occupied farms reporting the availability of electricity and is accompanied by a chart showing percentages for Canada and each province. The fifth map shows the percentage of occupied farms reporting the usage of tractors. This map is also accompanied by a chart which shows the percentage of farms reporting tractors for Canada and each province. The sixth map, on the bottom right portion of this plate, shows the value of farm products sold per farm. These maps are based on data which was available as of the 1958 publication date of this atlas map.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the USA. Power Plant emissions from all power plants in the United Staes were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/202

Historic Rates for Electricity and Natural Gas in Alberta dating back to 2002.

Canada has about 1% of the world’s coal resources. Ninety-seven per cent of Canada’s coal is found in the Western Provinces, although it is also found in Ontario, Nova Scotia and New Brunswick. There are coal resources in Northern Canada, but they are not well explored. Coal is used to generate electricity (thermal or steam coal) and to make steel (metallurgical or coking coal, used to produce the coke that, in turn, serves as a heat source and reducing agent in the steel manufacturing process). Depicted on the map are the major coal deposits in Canada, categorized by rank, and the locations of major coal fields and coal mines, major coal transportation routes and major coal-powered electrical generating stations.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Denmark. Power Plant emissions from all power plants in Denmark were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information