U.S. Energy Information Administration

Energy & Environment Statistics of Louisiana

The yearly data is the sum of the monthly data for all indicators. Energy consumption data by different sector are developed from a group of energy-related surveys, typically called "supply surveys," conducted by the U.S. Energy Information Administration (EIA). Supply surveys are directed to suppliers and marketers of specific energy sources. They measure the quantities of specific energy sources produced, or the quantities supplied to the market, or both. The data obtained from EIA's supply surveys are integrated to yield the summary consumption statistics.

Note: Source has discontinued Energy-related carbon dioxide (CO2) emissions vary significantly across states, whether considered on an absolute or per capita basis. Total state CO2 emissions include those from direct fuel use across all sectors, including residential, commercial, industrial, and transportation, as well as primary fuels consumed for electric generation. The overall size of a state, as well as the available fuels, types of businesses, climate, and population density, play a role in determining the level of both total and per capita emissions. Additionally, each state’s energy system reflects circumstances specific to that state. For example, some states have abundant hydroelectric supplies, while others contain abundant coal resources. This paper presents a basic analysis of the factors that contribute to a state’s CO2 profile. This analysis neither attempts to assess the effect of state policies on absolute emissions levels or on changes over time, nor does it intend to imply that certain policies would be appropriate for a particular state. The term energy-related CO2 emissions includes emissions released at the location where fossil fuels are consumed. Therefore, to the extent that fuels are used in one state to generate electricity that is consumed in another state, emissions are attributed to the former rather than the latter. Analysis attributing emissions to the consumption of electricity, rather than the production of electricity, would yield different results. For feed-stock application, carbon stored in products such as plastics are subtracted from reported emissions for the states where they are produced.

Source: https://www.eia.gov/dnav/pet/pet_stoc_gp_a_EPLLB0I_SKN_mbbl_a.htm https://www.eia.gov/dnav/ng/ng_stor_sum_dcu_nus_m.htm

Daily values are calculated by SUMing up the hourly values.

EIA has expanded the Monthly Energy Review (MER) to include annual data as far back as 1949 for those data tables that are found in both the Annual Energy Review (AER) and the MER. In the list of tables below, grayed-out table numbers now go to MER tables that contain 1949-2012 (and later) data series.

The taxes and other fees on retail gasoline and diesel fuel, in cents per gallon, as of January 1, 2023   Federal taxes include excises taxes of 18.3 cents per gallon on gasoline and 24.3 cents per gallon on diesel fuel, and a Leaking Underground Storage Tank fee of 0.1 cents per gallon on both fuels. State taxes include rates of general application including, but not limited to, excise taxes, environmental taxes, special taxes, and inspection fees, but exclude state taxes based on gross or net receipts. State taxes do not include county and local taxes. This information is for general informational purposes only. Sources: State and Territorial statutes and government agencies.

The State Energy Data System (SEDS) is the U.S. Energy Information Administration's (EIA) source for comprehensive State energy statistics. Included are estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Production and consumption estimates begin with the year 1960 while price and expenditure estimates begin with 1970.

Spot Prices of Crude Oil, Motor Gasoline, and Heating Oil  

Note-Natural Gas constituents are measured in Billion Cubic Feet

The dataset focuses on various factors that may influence crude oil prices -physical market factors as well as those related to trading and financial markets. Moreover, the dataset highlights on key factors that could influence oil markets and explore possible linkages between each factor and crude oil prices.