Interactive charts and data for the Residential electricity price trends 2019 review for: Australia Australian Capital Territory New South Wales Queensland South Australia Tasmania Victoria Western Australia

Interactive charts and data for the residential electricity price trends 2020 review for: Australia Australian Capital Territory New South Wales Queensland South Australia Tasmania

Interactive charts and data for the Residential electricity price trends 2020 review for: Australia Australian Capital Territory New South Wales Queensland South Australia Tasmania Victoria

The Annual Energy Outlook presents longterm annual projections of energy supply, demand, and prices focused on the U.S. through 2050, based on results from EIA's National Energy Modeling System (NEMS). NEMS enables EIA to make projections under alternative, internally-consistent sets of assumptions, the results of which are presented as cases. The analysis in AEO2014 focuses on five primary cases: a Reference case, Low and High Economic Growth cases, and Low and High Oil Price cases. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

The Annual Energy Outlook API presents long-term annual projections of energy supply, demand, and prices through 2040. The projections, focused on U.S. energy markets, are based on results from EIA’s National Energy Modeling System (NEMS). NEMS enables EIA to make projections under alternative, internally-consistent sets of assumptions, the results of which are presented as cases. The projections cover natural gas, petroleum, coal, electricity and renewable fuels by sector (residential, commercial, industrial, electric generation, and transportation) and by region (census). Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Measured in €

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Excluding apartments, measured in € Figure changed on the 27/6/16 as revised data received from the Local authority

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Excluding apartments, measured in € Figure changed on the 27/6/16 as revised data received from the Local authority

The primary function of the Cotton Market News Division of the Cotton and Tobacco Program is to compile and disseminate information that will aid producers, consumers, and distributors in the sale and purchase of cotton nationally and internationally.

This dataset contains average hourly, daily and monthly wholesale day-ahead electricity prices for European countries. Hourly data is provided as a .zip file to reduce download size. Note that these are the prices generators receive for selling electricity on the spot market. They are not the same as the prices paid by electricity consumers, which can also include taxes, levies, network charges, subsidies, and some supplier profits. They also do not account for hedging.

This series does not include apartment prices. 2015 Q4 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

This series does not include house prices. Measured in €

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Measured in €

This series does not include apartment prices. 2015 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

This series includes both house and apartment prices. 2015 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

This series includes both house and apartment prices. 2015 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

Quick Stats is the National Agricultural Statistics Service's (NASS) online, self-service tool to access complete results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.

Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.

U.S. rice production, supply, disappearance, trade, and price data. Includes state acreage, yield, and production data; U.S. and world price series; and program statistics. Contains world supply and use estimates as well. Prior years are available at the Mann Library.

With the register, you can find property owners, search for property prices, buy property documents, check if a property is on the land register and access help and guidance

This series includes apartment prices only. Measured in €

This series excludes second hand house prices. Measured in €

This series excludes second hand apartment prices. 2015 Q4 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

This series excludes second hand apartment prices. 2015 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

This series includes both house and apartment prices. 2015 Q4 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

This series includes both house and apartment prices. 2015 Figure changed on the 27/6/16 as revised data received from the Local authority Measured in €

The API provides data back to 1990 and projections annually, monthly, and quarterly for 18 months. Summarizes the outlook for demand, supply and prices for petroleum, natural gas, electricity and coal as well as projections of carbon dioxide emissions from the production of fossil fuels, and a discussion of price forecast uncertainty. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

The current uncertainty in the global supply of rare earth elements (REEs) necessitates the development of novel extraction technologies that utilize a variety of REE source materials. Herein, we examined the techno-economic performance of integrating a biosorption approach into a large-scale process for producing salable total rare earth oxides (TREOs) from various feedstocks. An airlift bioractor is proposed to carry out a biosorption process mediated by bioengineered rare earth-adsorbing bacteria. Techno-econmic asssements were compared for three distinctive categories of REE feedstocks requiring different pre-processing steps. Key parameters identified that affect profitability include REE concentration, composition of the feedstock, and costs of feedstock pretreatment and waste management. Among the 11 specific feedstocks investigated, coal ash from the Appalachian Basin was projected to be the most profitable, largely due to its high-value REE content. Its cost breakdown includes pre-processing (primarily leaching) (8077.71%), biosorption (1619.04%), and oxalic acid precipitation and TREO roasting (3.35%). Surprisingly, biosorption from the high-grade Bull Hill REE ore is less profitable due to high material cost and low production revenue. Overall, our results confirmed that the application of biosorption to low-grade feedstocks for REE recovery is economically viable.

Data provides current information regarding single family homes and ranches for sale by the U.S. Federal Government. These previously owned properties are for sale by public auction or other method depending on the property.

Berkeley Labs "Utility-Scale Solar", 2022 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developments in 2021, this report explores trends in deployment, technology, capital and operating costs, capacity factors, the levelized cost of solar energy (LCOE), power purchase agreement (PPA) prices, wholesale market value, and interconnection queue data.