The Cost of Risk metric shows how much the city spends on handling risks (like insurance, legal expenses, or accident payouts) compared to how much money it collects overall.The performance measure dashboard is available at 5.17 Total Cost of Risk.Additional InformationSource: Peoplesoft and ACFRContact: Laura CalderContact E-Mail: laura.calder@tempe.govData Source Type: ExcelPreparation Method: The total expenses in Fund 2661 (The Risk Management cost center) is divided by the total revenue from Annual Comprehensive Financial Report to calculate the total cost of Risk.Publish Frequency: AnnualPublish Method: ManualData Dictionary (pending update)

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Limit state-purchased health care cost growth to 2% less than the projected national health expenditures average every year through 2019.

This dataset contains Saudi Arabia Power Generation Cost - Khobar Plants 2004-2010 Ministry of Environment, Water and Agriculture Production, Export API data for more datasets to advance energy economics research

This dataset has information about the cost of providing General Fund City services per capita of the Full Purpose City population (SD23 measure GTW.A.4). It provides expense information from the annual approved budget document (General Fund Summary and Budget Stabilization Reserve Fund Summary) and population information from the City Demographer's Full Purpose Population numbers. The Consumer Price Index information for Texas is available through the following Key Economic Indicators dataset: https://data.texas.gov/dataset/Key-Economic-Indicators/karz-jr5v. This dataset can be used to help understand the cost of city services over time. View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/ixex-hibp

The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. 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. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index.

Displacement risk indicator showing how many households within the specified groups are facing either housing cost burden (contributing more than 30% of monthly income toward housing costs) or severe housing cost burden (contributing more than 50% of monthly income toward housing costs).

This dataset was utilized in a report to highlight parameters that affect near-term sustainable supply of corn stover and forest resources at $56 and $74 per dry ton delivered. While the report focus is restricted to 2018, the modeling runs are available from 2016-2022. In the 2016 Billion-ton Report (BT16), two stover cases were presented. In this dataset, we vary technical levels of those assumptions to measure stover supply response and to evaluate the major determinants of stover supply. In each of these cases, the supply is modeled first at the farmgate at prices up to $80 per dry ton for five deterministic scenarios. Building on this dataset, a supplementary dataset of delivered supply was modeled for 800k dry ton per year capacity facilities in two facility siting approaches. Results were summarized across delivered supply curves for twelve scenarios. The resulting supply curves are highly elastic, resulting in a range of potential supplies across scenarios at specified prices. Interactive visualization of these data allows exploration into any specified nth plant supply sensitivity to key variables and spatial distribution of stover resources. The analysis is economic supply risk and doesn’t account for disruptions from competing demands, namely livestock feed and beddingmore » markets. Scenario ending in _BC3080 is a reference scenario consistent with BT16 Basecase (BC1), but with corn stover price isolation. Scenario ending in _OHB080 includes high operational efficiency constraints for corn stover. Scenario ending in _OLB080 includes low operational efficiency constraints for corn stover. Scenario ending in _PLB080 includes low opportunity cost. Scenario ending in _PHB080 includes high opportunity cost. No Land Rental costs are applied to these scenarios. All scenarios were under an exogenous price simulation using POLYSYS (v2017).« less

Costs are a leading driver of take-up and usage of digital financial services (DFS), yet little work has been done to measure these costs systematically. The Transaction Cost Index (TCI) seeks to fill this gap by systematically measuring the costs of using mobile money. We consider a broad definition of cost, inclusive of official fees and taxes, informal extra fees charged by agents, and non-pecuniary costs such as the opportunity cost of time wasted on failed transactions and exposure to consumer protection risks. Data was collected in two rounds. We conducted two activities: 1) Desk work: we systematically scraped official price lists from leading mobile money providers across 16 countries. We additionally collected information on tax treatment of mobile money transactions and regulations related to mobile money pricing. We additionally measured the ease of accessing providers’ pricing information 2) Fieldwork: to measure costs beyond official fees, in our first year, we tested three approaches to measuring the true cost of making mobile money transactions with agents, including overcharging and non-monetary costs. In our second year, we additionally modified our data collection approach based on lessons learned in the first year of work, focusing on only one approach. This work was conducted in Bangladesh, Tanzania, and Uganda.

The associated excel files hold the cost predictions for nitrate and perchlorate treatment based on a series of assumptions outlined in the paper. No experimental data was generated in this project.

This dataset is associated with the following publication: Latham , M. SSWR FY14 Output Summary Report: Performance information and design tools are developed for innovative technologies and approaches for Small Drinking Water and Wastewater Systems. U.S. Environmental Protection Agency, Washington, DC, USA.

Enterprise Architecture (EA) planning is underway but cost estimates are needed to determine appropriate investment reviews and reporting for a NOAA NESDIS ground system.

The dataset, HHA Cost Report Data 2020-2022 has information on the Home Health Agency (HHA) cost reports received by Healthcare Cost Report Information System (HCRIS). This dataset is one among the 4 files in Home Health Agency (HHA) cost reports, the HHA Cost Alphanumeric Data 2020-2022, HHA Cost Numeric Data 2020-2022, HHA Cost Report Data 2020-2022 and HHA Cost Rollup Data 2020-2022.

The R-scripts and data in this study can be used to reproduce figures in the associated paper, which is based on a simulation of a scientific community. Model description: We construct a model in which there is a cost associated with sharing datasets whereas reusing such sets implies a benefit. In our calculations conflicting interests appear for researchers. Individual researchers are al ways better off not sharing and omitting the sharing cost, at the same time both sharing and not sharing researchers are better off if (almost) all researchers share. Namely, the more researchers share, the more benefit can be gained by the reuse of those datasets. We simulated several policy measures to increase benefits for researchers sharing or reusing datasets. Results point out that, although policies should be able to increase the rate of sharing researchers, and increased discoverability and dataset quality could partly compensate for costs, a better measure would be to directly lower the cost for sharing, or even turn it into a (citation-) benefit.

The Skilled Nursing Facility (SNF) Cost Report dataset is a public use file that provides select measures from the skilled nursing facility annual cost report. This data includes provider information such as facility characteristics, utilization data, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data organized by CMS Certification Number.

Concept: Average cost of credit operations that make up the portfolio of loans, financing and leasing operations of financial institutions belonging to the National Financial System. It includes the totality of outstanding operations classified as current assets, regardless of the date of the credit lending. Source: Central Bank of Brazil � Statistics Department 27650-average-cost-of-outstanding-loans---nonearmarked---non-financial-corporations---discount-of-c 27650-average-cost-of-outstanding-loans---nonearmarked---non-financial-corporations---discount-of-c

Building cost index by type of cost

The Cost Estimates of Foodborne Illnesses data product provides detailed data about the costs of major foodborne illnesses in the United States, updating and extending previous ERS research. Cost estimates of foodborne illnesses have been used in the past to help inform food-safety policy discussions, and these updated cost estimates will provide a foundation for economic analysis of food safety policy.

Increase the amount of annual cost savings resulting from statewide procurement contracts from $20.2 million in 2014 to $30 million by 2019.

This dataset Healthcare Cost Report Information System (HCRIS) contains cost and statistical data for free-standing Hospice providers. The dataset includes only the most precise version of each cost report from 1999 to 2022.

The ACCRA Cost of Living Index (COLI) is a measure of living cost differences among urban areas compiled by the Council for Community and Economic Research. Conducted quarterly, the index compares the price of goods and services among approximately 300 communities in the United States and Canada. This Microsoft Excel file contains the average prices of goods and services published in the ACCRA Cost of Living Index since 1990.