Global anthropogenic CO2 emissions for 2007 based on EDGARv4.3, fuel type and category specific emissions provided by Greet Janssens-Maenhout (EU-JRC), BP statistics 2016 (http://www.bp.com/content/dam/bp/excel/energy-economics/statistical-review-2016/bp-statistical-review-of-world-energy-2016-workbook.xlsx), temporal variations based on MACC-TNO (https://gmes-atmosphere.eu/documents/deliverables/d-emis/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011).
http://meta.icos-cp.eu/ontologies/cpmeta/icosLicencehttp://meta.icos-cp.eu/ontologies/cpmeta/icosLicence
Anthropogenic CO2 emissions for Europe based on EDGARv4.3 (Janssens-Maenhout et al., 2019, https://doi.org/10.5194/essd-11-959-2019, fuel type and category specific emissions were provided by Greet Janssens-Maenhout, EU-JRC), BP statistics 2021 (https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/xlsx/energy-economics/statistical-review/bp-stats-review-2021-all-data.xlsx), temporal variations based on MACC-TNO (Denier van der Gon et al., 2011, https://atmosphere.copernicus.eu/sites/default/files/2019-07/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011, https://doi.org/10.5194/acp-11-6855-2011) Gerbig, C., Koch, F. (2021). European anthropogenic CO2 emissions for 2019 based on EDGARv4.3 and BP statistics 2021, Miscellaneous, https://hdl.handle.net/11676/ZU0G9vak8AOz-GprC0uY-HPM
Annual report providing program and demographic information about the people receiving Supplemental Security Income benefits. Report for 2019.
Documentation for the Annual Statistical Report.
The Toronto’s Police Service Annual Statistical Report is a comprehensive overview of police related statistics including reported crimes, victims of crime, search of persons, firearms, traffic collisions, personnel, budget, communications, public complaints, enforcement and other administrative information.This report is one of several components of the ASR open data release. More detailed information, a comprehensive guide to this report and the rest of the components of the ASR can be found here: data.torontopolice.on.ca/pages/annualstatisticalreport
Annual report providing program and demographic information about the people receiving Supplemental Security Income benefits. Report for 2018.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Following the recent national statistics review of tax credit statistics a summary of responses have been published on the HM Revenue & Customs (HMRC) website.
There were almost 140 responses to the consultation and this initial report summarises the results from the user consultation established to identify the needs of customers as well as their feedback on the publications.
The consultation ran from 23 May 2011 to 31 August 2011 and covered tax credit national statistics and official statistics publications using an online survey. HMRC is very grateful to all users who participated in the survey.
A detailed report on the survey results and consultation will follow in the tax year 2012 to 2013.
A November 2021 survey of online users in the United States found that 81 percent of respondents had used Google as a tool to evaluate local businesses in the past 12 months. Yelp was ranked second with over half of respondents using the review platform for such purpose.
Annual report providing program and demographic information about the people receiving Supplemental Security Income benefits. Report for 2011.
This statistic shows the share of adults who read reviews before watching a movie in the United States as of August 2018, broken down by age group. The findings show that 12 percent of respondents aged between 45 and 54 years old said they always read movie reviews before seeing a movie, the largest share amongst all age groups surveyed by the source. Interestingly, the share of respondents who said that they sometimes read a film review before viewing the film is the same for 18 to 24 year olds and those ages 55 or above.
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Statistical coal mining data produced for the Queensland mining industry 2016–17
The Digest of United Kingdom Energy Statistics (DUKES) is the annual energy statistics publication produced by BEIS. It provides a detailed and comprehensive picture on the production and consumption of individual fuels and of energy as a whole.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
BackgroundSystematic reviews (SRs) can provide accurate and reliable evidence, typically about the effectiveness of health interventions. Evidence is dynamic, and if SRs are out-of-date this information may not be useful; it may even be harmful. This study aimed to compare five statistical methods to identify out-of-date SRs. MethodsA retrospective cohort of SRs registered in the Cochrane Pregnancy and Childbirth Group (CPCG), published between 2008 and 2010, were considered for inclusion. For each eligible CPCG review, data were extracted and “3-years previous” meta-analyses were assessed for the need to update, given the data from the most recent 3 years. Each of the five statistical methods was used, with random effects analyses throughout the study. ResultsEighty reviews were included in this study; most were in the area of induction of labour. The numbers of reviews identified as being out-of-date using the Ottawa, recursive cumulative meta-analysis (CMA), and Barrowman methods were 34, 7, and 7 respectively. No reviews were identified as being out-of-date using the simulation-based power method, or the CMA for sufficiency and stability method. The overall agreement among the three discriminating statistical methods was slight (Kappa = 0.14; 95% CI 0.05 to 0.23). The recursive cumulative meta-analysis, Ottawa, and Barrowman methods were practical according to the study criteria. ConclusionOur study shows that three practical statistical methods could be applied to examine the need to update SRs.
The goal of Alaska Energy Authority's (AEA) Power Cost Equalization program is to provide economic assistance to customers in rural areas of Alaska where the kilowatt-hour charge for electricity can be three to five times higher than the charge in more urban areas of the state. Approximately 30% of all kWh’s sold by the participating utilities are eligible for PCE. PCE fundamentally improves Alaska’s standard of living by helping small rural areas maintain the availability of communications and the operation of basic infrastructure and systems, including water and sewer, incinerators, heat and light. PCE is a core element underlying the financial viability of centralized power generation in rural communities. The Legislature established different functions for AEA and the Regulatory Commission of Alaska (RCA) under Alaska Statutes 42.45.100-170, which govern PCE program responsibilities.AEA determines eligibility of community facilities and residential customers and authorizes payment to the electric utility. Commercial customers are not eligible to receive PCE credit. Participating utilities are required to reduce each eligible customer’s bill by the amount that the State pays for PCE.RCA determines if a utility is eligible to participate in the program and calculates the amount of PCE per kWh payable to the utility. More information about the RCA may be found at www.state.ak.us/rca .Power Cost Equalization Program GuidePCE Program Statutes AS 42.45.110PCE Eligibility and Certification Determination Request FormFor more information and for questions about this data, see: AEA Power Cost Equalization.Source data: PCE Statistical Reports By Utility FY2015
http://meta.icos-cp.eu/ontologies/cpmeta/icosLicencehttp://meta.icos-cp.eu/ontologies/cpmeta/icosLicence
Anthropogenic CO2 emissions for Europe based on EDGARv4.3 (Janssens-Maenhout et al., 2019, https://doi.org/10.5194/essd-11-959-2019, fuel type and category specific emissions were provided by Greet Janssens-Maenhout, EU-JRC), BP statistics 2023 (https://www.energyinst.org/_data/assets/excel_doc/0007/1055545/EI-stats-review-all-data.xlsx), temporal variations based on MACC-TNO (Denier van der Gon et al., 2011, https://atmosphere.copernicus.eu/sites/default/files/2019-07/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011, https://doi.org/10.5194/acp-11-6855-2011) Gerbig, C., Koch, F. (2023). European anthropogenic CO2 emissions for 2005 based on EDGARv4.3 and BP statistics 2023, 2005, Miscellaneous, https://hdl.handle.net/11676/1sC7L3Ch8A7EdLz13LtJqhUL
This annual report provides program and demographic information on the people who receive Social Security Disability Insurance Program benefits. This edition presents a series of detailed tables on the three categories of beneficiaries: disabled workers, disabled widowers, and disabled adult children. Numbers presented in these tables may differ slightly from other published statistics because all tables, except those using data from the Survey of Income and Program Participation, are based on 100 percent data files. Report for 2002.
The Renewable Transport Fuel Obligation (RTFO) tables are the main data source for this statistical release. However, from 2019, the UK also reports renewable fuel supply under the Motor fuel greenhouse gas emissions reporting guidance (GHG tables).
The GHG regulations are closely related to the RTFO, however small differences in reporting requirements and categorisations result in small differences in figures. Readers are advised that the report is based on data in the RTFO tables, and that back-series reports are based on past RTFO tables. Statistics on the supply of renewable fuels, reported under the Renewable Transport Fuel Obligation for 2019, based on data available as of 17 March 2020.
This is the fourth of 5 provisional reports for 2019 and therefore contains an incomplete dataset for the year. The final report is scheduled for publication in November 2020. We have incorporated changes to the report and tables as a result of changes to the legislation. Further information on these changes is available.
The report and accompanying tables includes information on the:
There are 2 sets of data tables for this period. The first set of tables (RF_01) report the supply of renewable fuel to the UK under the Renewable Transport Fuel Obligation (RTFO). The second set of tables (RF_02) report the supply of renewable fuel to the UK under the Motor Fuel Greenhouse Gas (GHG) Emissions Reporting Regulations. Though the 2 reporting mechanisms are similar, there is some variation in categorisation between the RTFO and FQD leading to small differences between the 2 tables. For more details, see the notes and definitions.
Transport energy and environment statistics
Email mailto:environment.stats@dft.gov.uk">environment.stats@dft.gov.uk
Media enquiries 0300 7777 878
In 2021, many online shoppers in the United Kingdom (UK) considered what previous buyers had to say about products before purchasing the items themselves. Approximately nine in ten UK consumers stated they would check online reviews before buying from a particular business. Even more shoppers said they often avoid enterprises with a rating lower than four.
In 2022, almost six in ten consumers in the United States reported always reading ratings and reviews when they shopped online for clothing. In contrast, only three percent of survey respondents reported doing so on an occasional basis, indicating that ratings and reviews are an important purchase criterion for online apparel shoppers.
The Renewable Transport Fuel Obligation (RTFO) tables are the main data source for this statistical release. However, from 2019, the UK also reports renewable fuel supply under the motor fuel greenhouse gas emissions reporting guidance (GHG tables).
The GHG regulations are closely related to the RTFO, however small differences in reporting requirements and categorisations result in small differences in figures. Readers are advised that the report is based on data in the RTFO tables, and that back-series reports are based on past RTFO tables. Statistics on the supply of renewable fuels, reported under the Renewable Transport Fuel Obligation for 2019, based on data available as of 18 December 2019.
This is the third of 5 provisional reports for 2019 and therefore contains an incomplete dataset for the year. The final report is scheduled for publication in November 2020. We have incorporated changes to the report and tables as a result of changes to the legislation. Further information on these changes is available.
The report and accompanying tables includes information on the:
There are 2 sets of data tables for this period. The first set of tables (RF_01) report the supply of renewable fuel to the UK under the Renewable Transport Fuel Obligation (RTFO). The second set of tables (RF_02) report the supply of renewable fuel to the UK under the Motor Fuel Greenhouse Gas (GHG) Emissions Reporting Regulations.
Though the 2 reporting mechanisms are similar, there is some variation in categorisation between the RTFO and FQD (Fuel Quality Directive) leading to small differences between the 2 tables. For more details, see the notes and definitions.
Renewable fuel statistics
Email mailto:environment.stats@dft.gov.uk">environment.stats@dft.gov.uk
Media enquiries 0300 7777 878
Global anthropogenic CO2 emissions for 2007 based on EDGARv4.3, fuel type and category specific emissions provided by Greet Janssens-Maenhout (EU-JRC), BP statistics 2016 (http://www.bp.com/content/dam/bp/excel/energy-economics/statistical-review-2016/bp-statistical-review-of-world-energy-2016-workbook.xlsx), temporal variations based on MACC-TNO (https://gmes-atmosphere.eu/documents/deliverables/d-emis/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011).