This dataset is about countries per year in Denmark. It has 64 rows. It features 4 columns: country, GDP, and fossil fuel energy consumption.

China Energy Consumption per GDP: Electricity data was reported at 73,928.169 kWh/MN RMB in 2020. This records a decrease from the previous number of 75,889.353 kWh/MN RMB for 2019. China Energy Consumption per GDP: Electricity data is updated yearly, averaging 135,866.983 kWh/MN RMB from Dec 1980 (Median) to 2020, with 41 observations. The data reached an all-time high of 655,312.669 kWh/MN RMB in 1980 and a record low of 73,928.169 kWh/MN RMB in 2020. China Energy Consumption per GDP: Electricity data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Energy Sector – Table CN.RBC: Reference Data: Energy Consumption per GDP(Discontinued).

This dataset is about countries per year in Oceania. It has 896 rows. It features 4 columns: country, GDP, and renewable energy consumption.

This dataset is about regions. It has 22 rows. It features 3 columns: GDP, and renewable energy consumption. It is 100% filled with non-null values.

Brazil BR:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data was reported at 14.288 Intl $/kg in 2023. This records an increase from the previous number of 13.910 Intl $/kg for 2022. Brazil BR:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data is updated yearly, averaging 9.903 Intl $/kg from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 14.288 Intl $/kg in 2023 and a record low of 7.097 Intl $/kg in 1990. Brazil BR:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Environmental: Energy Production and Consumption. GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates based on the 2017 ICP round. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.;IEA Energy Statistics Data Browser, https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser;Weighted average;

China Energy Consumption per GDP data was reported at 48.988 TCE/MN RMB in 2020. This records a decrease from the previous number of 49.366 TCE/MN RMB for 2019. China Energy Consumption per GDP data is updated yearly, averaging 683.968 TCE/MN RMB from Dec 1953 (Median) to 2020, with 68 observations. The data reached an all-time high of 2,053.466 TCE/MN RMB in 1960 and a record low of 48.988 TCE/MN RMB in 2020. China Energy Consumption per GDP data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.RBC: Reference Data: Energy Consumption per GDP(Discontinued).

This dataset contains the All-India and Year-wise trends in overall energy use relative to GDP. It is expressed as the ratio of Total supply or use of energy and GDP at constant price. Note: Data for 2023-24 is Provisional.

China Energy Consumption per GDP: Coal data was reported at 43.235 Ton/MN RMB in 2018. This records a decrease from the previous number of 47.042 Ton/MN RMB for 2017. China Energy Consumption per GDP: Coal data is updated yearly, averaging 153.853 Ton/MN RMB from Dec 1980 (Median) to 2018, with 39 observations. The data reached an all-time high of 1,329.884 Ton/MN RMB in 1980 and a record low of 43.235 Ton/MN RMB in 2018. China Energy Consumption per GDP: Coal data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.RBC: Reference Data: Energy Consumption per GDP(Discontinued).

Australian energy consumption and energy intensity compared with gross domestic product, 1973–74 to 2014–15 (percentage 1973-74 levels)

Department of Industry and Science 2015. Australian Energy Update 2015. Australian Government, Canberra

Figure DRV4 in Drivers report. https://soe.environment.gov.au/theme/drivers/topic/economic-activity-driver-environmental-change#Figure_DRV4

The purpose of this data set is to allow exploration between various types of data that is commonly collected by the US government across the states and the USA as a whole. The data set consists of three different types of data:

• Census and Geographic Data;
• Energy Data; and
• Economic Data.

When creating the data set, I combined data from many different types of sources, all of which are cited below. I have also provided the fields included in the data set and what they represent below. I have not performed any research on the data yet, but am going to dive in soon. I am particularly interested in the relationships between various types of data (i.e. GDP or birth rate) in prediction algorithms. Given that I have compiled 5 years’ worth of data, this data set was primarily constructed with predictive algorithms in mind.

An additional note before you delve into the fields: * There could have been many more variables added across many different fields of metrics. I have stopped here, but it could potentially be beneficial to observe the interaction of these variables with others (i.e. the GDP of certain industries, the average age in a state, the male/female gender ratio, etc.) to attempt to find additional trends.

Census and Geographic Data

• StateCodes: The state 2-letter abbreviations. Note that I added "US" for the United States.
• Region: The number corresponding to the region the state lies within, according to the 2010 census. (1 = Northeast, 2 = Midwest, 3 = South, 4 = West)
• Division: The number corresponding to the division the state lies within, according to the 2010 census. (1 = New England, 2 = Middle Atlantic, 3 = East North Central, 4 = West North Central, 5 = South Atlantic, 6 = East South Central, 7 = West South Central, 8 = Mountain, 9 = Pacific)
• Coast: Whether the state shares a border with an ocean. (1 = Yes, 0 = No)
• Great Lakes: Whether the state shares a border with a great lake. (1 = Yes, 0 = No
• CENSUS2010POP: 4/1/2010 resident total Census 2010 population
• POPESTIMATE{year}: 7/1/{year} resident total population estimate
• RBIRTH{year}: Birth rate in period 7/1/{year - 1} to 6/30/
• RDEATH{year}: Death rate in period 7/1/{year - 1} to 6/30/
• RNATURALINC{year}: Natural increase rate in period 7/1/{year - 1} to 6/30/
• RINTERNATIONALMIG{year}: Net international migration rate in period 7/1/{year - 1} to 6/30/
• RDOMESTICMIG{year}: Net domestic migration rate in period 7/1/{year - 1} to 6/30/
• RNETMIG{year}: Net migration rate in period 7/1/{year - 1} to 6/30/

As noted from the census:

Net international migration for the United States includes the international migration of both native and foreign-born populations. Specifically, it includes: (a) the net international migration of the foreign born, (b) the net migration between the United States and Puerto Rico, (c) the net migration of natives to and from the United States, and (d) the net movement of the Armed Forces population between the United States and overseas. Net international migration for Puerto Rico includes the migration of native and foreign-born populations between the United States and Puerto Rico.

Codes for most of the data, information about the geographic terms and coditions, and more information about the methodology behind the population estimates can be found on the US Census website.

Energy Data

• TotalC{year}: Total energy consumption in billion BTU in given year.
• TotalP{year}: Total energy production in billion BTU in given year.
• TotalE{year}: Total Energy expenditures in million USD in given year.
• TotalPrice{year}: Total energy average price in USD/million BTU in given year.
• TotalC{first year}–{second year}: The first year’s total energy consumption divided by the second year’s total energy consumption, times 100. (The percent change between years in total energy consumption.)
• TotalP{first year}–{second year}: The first year’s total energy production divided by the second year’s total energy production, times 100. (The percent change between years in total energy production.)
• TotalE{first year}–{second year}: The first year’s total energy expenditure divided by the second year’s total energy expenditure, times 100. (The percent change between years in total energy expenditure.)
• TotalPrice{first year}–{second year}: The first year’s total energy average price divided by the second year’s total energy average price, times 100. (The percent change between years in total energy average price.)
• BiomassC{year}: Biomass total consumption in billion BTU in given year.
• CoalC{year}: Coal total consumption in billion BTU in given year.
• CoalP{year}: Coal total production in billion BTU in given year.
• CoalE{year}: Coal total expenditures in million USD in given year.
• CoalPrice{year}:...

Regulatory Indicators for Sustainable Energy (RISE) is a comprehensive policy scorecard assessing the investment climate for sustainable energy and focusing on three key areas: energy access, energy efficiency and renewable energy. RISE covers 111 countries across the developed and developing worlds, which together represent over 90% of global population, GDP and energy consumption. With 28 indicators, 85 sub-indicators and 158 data points per country, RISE helps policy makers to understand how they are doing, compare across countries, learn from peer groups, and identify priority actions for the future. The source data and documents for 111 countries are available at http://rise.worldbank.org/library To learn more, please visit http://rise.worldbank.org/

This dataset is about countries per year in Turkey. It has 64 rows. It features 4 columns: country, GDP, and fossil fuel energy consumption.

Germany DE:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data was reported at 23.482 Intl $/kg in 2023. This records an increase from the previous number of 20.882 Intl $/kg for 2022. Germany DE:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data is updated yearly, averaging 8.689 Intl $/kg from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 23.482 Intl $/kg in 2023 and a record low of 4.415 Intl $/kg in 1990. Germany DE:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Environmental: Energy Production and Consumption. GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates based on the 2017 ICP round. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.;IEA Energy Statistics Data Browser, https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser;Weighted average;

This dataset contains World Energy Use 1960-2014 Data from World Resources Institute. Follow datasource.kapsarc.org for timely data to advance energy economics research.Socio Economic Data (Population, GDP and Energy Use)CAIT - Historical Emissions Data (Countries, U.S. States, UNFCCC)CAIT Climate Data Explorer. 2015. Washington, DC: World Resources Institute. Available online at: http://cait.wri.org

This supplementary dataset includes secondary data collected during the study on the mediating effect of transport energy consumption in the relationship between non-renewable energy consumption and CO2 emissions. The indicators included in the dataset are CO2 per capita, oil products, transport energy consumption, clean energy access, GDP per capita, industry, renewable energy consumption, agricultural land, trade and urban population. Countries included in the sample are Angola, Botswana, Cameroon, Congo, Democratic Republic of the Congo, Egypt, Ethiopia, Gabon, Ghana, Ivory Coast, Kenya, Morocco, Mozambique, Niger, Nigeria, Rwanda, Senegal, South Africa, Tanzania, Uganda, Tunisia, and Zambia. The research dataset was retrieved from the World Bank database and the International Energy Agency website. This resource aims to enhance transparency and facilitate further research.

This dataset is about countries per year in Slovak Republic. It has 64 rows. It features 4 columns: country, GDP, and fossil fuel energy consumption.

Ireland IE:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data was reported at 24.319 Intl $/kg in 2015. This records an increase from the previous number of 18.600 Intl $/kg for 2014. Ireland IE:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data is updated yearly, averaging 9.963 Intl $/kg from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 24.319 Intl $/kg in 2015 and a record low of 4.874 Intl $/kg in 1990. Ireland IE:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ireland – Table IE.World Bank: Energy Production and Consumption. GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates based on the 2011 ICP round. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted Average; Restricted use: Please contact the International Energy Agency for third-party use of these data.

This dataset is about countries per year in Portugal. It has 64 rows. It features 4 columns: country, GDP, and fossil fuel energy consumption.

This dataset is about countries per year in Uganda. It has 64 rows. It features 4 columns: country, GDP, and renewable energy consumption.

Pakistan PK:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data was reported at 9.951 Intl $/kg in 2014. This records an increase from the previous number of 9.458 Intl $/kg for 2013. Pakistan PK:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data is updated yearly, averaging 6.372 Intl $/kg from Dec 1990 (Median) to 2014, with 25 observations. The data reached an all-time high of 9.951 Intl $/kg in 2014 and a record low of 4.956 Intl $/kg in 1990. Pakistan PK:(GDP) Gross Domestic Productper Unit of Energy Use: PPP per Kg of Oil Equivalent data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank: Energy Production and Consumption. GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates based on the 2011 ICP round. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted Average; Restricted use: Please contact the International Energy Agency for third-party use of these data.