The deadliest energy source worldwide is coal. It is estimated that there are roughly 33 deaths from brown coal (also known as Lignite) and 25 deaths from coal per terawatt-hour (TWh) of electricity produced from these fossil fuels. While figures take into account accidents, the majority of deaths associated with coal come from air pollution. Air pollution deaths from fossil fuels Air pollution from coal-fired plants has been of growing concern as it has been linked to asthma, cancer, and heart disease. Burning coal can release toxic airborne pollutants such as mercury, sulfur dioxide, nitrogen oxides, and particulate matter. Eastern Asia accounts for roughly 31 percent of global deaths attributable to exposure to fine particulate matter (PM2.5) generated by fossil fuel combustion, which is perhaps unsurprising given the fact China and India are the two largest coal consumers in the world. Safest energy source Clean and renewable energy sources are unsurprisingly the least deadly energy sources, with 0.04 and 0.02 deaths associated with wind and solar per unit of electricity, respectively. Nuclear energy also has a low death rate, even after the inclusion of nuclear catastrophes like Chernobyl and Fukushima.

Brown coal has the highest mortality rate of any source of electricity generation. The number of deaths per terawatt-hour of electricity production from brown coal was around *****. This was followed by coal overall, wherein the number of deaths per terawatt-hour of electricity production was around *****. The lowest number of deaths were attributed to electricity generation from solar sources.

This dataset is about countries per year in Georgia. It has 64 rows. It features 4 columns: country, electricity production from coal sources, and death rate.

It is estimated that more than ****** premature deaths could be avoided annually in the United States if all energy-related emissions were eliminated. Removing air pollutant emissions released into the air by on-road vehicles prevents the most number of premature deaths, at almost ******. This is followed by emissions removals from residential/commercial fuel use.

This scatter chart displays electricity production from coal sources (% of total) against death rate (per 1,000 people) in Albania. The data is about countries per year.

In 2021, the number of deaths due to air pollution in Japan was estimated at **** thousand. Since 2010, the number of deaths has risen, making Japan one of the countries with a high number of deaths attributable to air pollution exposure.
Health risks and sources of air pollution The most common air pollutant is particulate matter with a diameter of *** micrometers or less, also called PM ***. The air pollutants can invade the lungs and cause asthma, cancer, heart diseases, allergies, and other health conditions. A major cause of air pollution is fossil fuel combustion, which is produced from power plants and industrial facilities. In Japan, fossil fuels such as petroleum and coal had the largest share of the primary energy supply. Another cause is carbon dioxide emissions from the transport sector since PM *** is generated from sources such as automobile exhaust fumes. Therefore, most pollution areas are highly populated, urban areas. Measures to improve air quality in Japan In 2020, the Tokyo government announced its intention to improve the air quality with stricter air pollution regulations. The new target for Tokyo's level of PM *** is set at ** micrograms or less per cubic meter by fiscal year 2030. To decrease air pollution, Japan aims to reduce its use of fossil fuels and increase its nuclear and renewable energy share. Renewables accounted for a share of primary energy supply of almost **** percent, whereas nuclear energy made up about ***** percent in 2018. In recent years, these measures began to show their effect as figures for the total annual greenhouse gas emissions indicated a decline.

This dataset is about countries per year in Costa Rica. It has 64 rows. It features 4 columns: country, electricity production from coal sources, and death rate.

Energy Capacity - Nuclear is the actual capacity of the nuclear electric power industry to describe the size of generating plants. MWe is the symbol for the actual output of a generating station in megawatts of electricity. Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldenergy.org/wec-geis/publications/default/ Original Data Source uses -9999 to represent that no data is available, we have substituted a value of -1. a value of 0 means the country does not have nuclear energy capabilities.

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

This scatter chart displays death rate (per 1,000 people) against electricity production from coal sources (% of total) in Costa Rica. The data is about countries per year.

Africa has ambitious plans to address energy deficits and sustain economic growth with fossil fueled power plants. The continent is also experiencing faster population growth than anywhere else in the world that will lead to proliferation of vehicles. Here, we estimate air pollutant emissions in Africa from future (2030) electricity generation and transport. We find that annual emissions of two precursors of fine particles (PM2.5) hazardous to health, sulfur dioxide (SO2) and nitrogen oxides (NOx), approximately double by 2030 relative to 2012, increasing from 2.5 to 5.5 Tg SO2 and 1.5 to 2.8 Tg NOx. We embed these emissions in the GEOS-Chem model nested over the African continent to simulate ambient concentrations of PM2.5 and determine the burden of disease (excess deaths) attributable to exposure to future fossil fuel use. We calculate 48000 avoidable deaths in 2030 (95% confidence interval: 6000–88000), mostly in South Africa (10400), Nigeria (7500), and Malawi (2400), with 3-times higher mortality rates from power plants than transport. Sensitivity of the burden of disease to either population growth or air quality varies regionally and suggests that emission mitigation strategies would be most effective in Southern Africa, whereas population growth is the main driver everywhere else.

This layer maps economic damage due to climate change by county level across the United States. Projections for three time periods and two emissions scenarios are included for agricultural production, human mortality, and energy expenditures.The default symbology and pop-up display change in energy expenditures for an intermediate emission scenario (RCP 4.5) for the period 2040-2059 relative to 2012.AttributesEnergy - Percent change in residential and commercial sector energy expenditure relative to 2012. Estimates are based on modeling from Rhodium Group’s version of the National Energy Modeling System RHG-NEMS.Mortality - Net change in deaths per 100,000 population due to heat and cold. Changes are reported relative to 2012 statistics from the Centers for Disease Control and Prevention.Agriculture - Percent change in total agricultural yields, area-weighted average, for maize, wheat, soybeans, and cotton due to climate change including effects of CO2 fertilization. Changes are reported relative to statistics from the US Department of Agriculture in the year 2012. Counties with null values did not have production of these crops in 2012.High Risk Labor - Percent change in labor productivity in high risk sectors. High risk sectors consist of agriculture, forestry, fishing, hunting, mining quarrying, oil extraction, gas extraction, utilities, construction, manufacturing, transportation and warehousing. Total Labor - Percent change in labor supply of full-time-equivalent workers for all jobs. Values are based on total productivity losses assuming there is no growth in the labor force and account for changes in labor supply. Changes are reported relative to statistics from the Bureau of Labor Statistics in the year 2012.Emissions Scenarios Representative Concentration Pathwaysintermediate (RCP 4.5) and high (RCP 8.5)Time PeriodsTwo-Decade periods2020-20392040-20592080-2099For more information about how the data used in this layer were created see:Climate Impact LabHsiang, S., Kopp, R.E., Jina, A., Rising, J., Delgado M., Mohan, S., Rasmussen, D.J., Muir-Wood, R., Wilson, P., Oppenheimer, M., Larsen, K., and Houser, T. (2017). Estimating economic damage from climate change in the United States. Science. doi:10.1126/science.aal4369

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 Belarus. Power Plant emissions from all power plants in Belarus 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 scatter chart displays death rate (per 1,000 people) against electricity production from nuclear sources (% of total) in Georgia. The data is about countries per year.

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 Hungary. Power Plant emissions from all power plants in Hungary 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 scatter chart displays death rate (per 1,000 people) against electricity production from coal sources (% of total) in Poland. The data is about countries per year.

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 Iraq. Power Plant emissions from all power plants in Iraq 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 dataset is about countries per year in Albania. It has 64 rows. It features 4 columns: country, electricity production from hydroelectric sources, and death rate.

The First World War saw the mobilization of more than 65 million soldiers, and the deaths of almost 15 million soldiers and civilians combined. Approximately 8.8 million of these deaths were of military personnel, while six million civilians died as a direct result of the war; mostly through hunger, disease and genocide. The German army suffered the highest number of military losses, totaling at more than two million men. Turkey had the highest civilian death count, largely due to the mass extermination of Armenians, as well as Greeks and Assyrians. Varying estimates suggest that Russia may have suffered the highest number of military and total fatalities in the First World War. However, this is complicated by the subsequent Russian Civil War and Russia's total specific to the First World War remains unclear to this day.

Proportional deaths In 1914, Central and Eastern Europe was largely divided between the empires of Austria-Hungary, Germany and Russia, while the smaller Balkan states had only emerged in prior decades with the decline of the Ottoman Empire. For these reasons, the major powers in the east were able to mobilize millions of men from across their territories, as Britain and France did with their own overseas colonies, and were able to utilize their superior manpower to rotate and replace soldiers, whereas smaller nations did not have this luxury. For example, total military losses for Romania and Serbia are around 12 percent of Germany's total military losses; however, as a share of their total mobilized forces these countries lost roughly 33 percent of their armies, compared to Germany's 15 percent mortality rate. The average mortality rate of all deployed soldiers in the war was around 14 percent.

Unclarity in the totals Despite ending over a century ago, the total number of deaths resulting from the First World War remains unclear. The impact of the Influenza pandemic of 1918, as well as various classifications of when or why fatalities occurred, has resulted in varying totals with differences ranging in the millions. Parallel conflicts, particularly the Russian Civil War, have also made it extremely difficult to define which conflicts the fatalities should be attributed to. Since 2012, the totals given by Hirschfeld et al in Brill's Encyclopedia of the First World War have been viewed by many in the historical community as the most reliable figures on the subject.

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 Austria. Power Plant emissions from all power plants in Austria 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