https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
This statistical release makes available the most recent monthly data on NHS-funded maternity services in England, using data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the newest version of the data set, MSDS.v.2, which has been in place since April 2019. The new data set was a significant change which added support for key policy initiatives such as continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This was a major change, so data quality and coverage initially reduced from the levels seen in earlier publications. MSDS.v.2 data completeness improved over time, and we are looking at ways of supporting further improvements. This publication also includes the National Maternity Dashboard, which can be accessed via the link below. Data derived from SNOMED codes is used in some measures such as those for birthweight, and others will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs), where rules have been applied to ensure measure rates are calculated only where data quality is high enough. System suppliers are at different stages of development and delivery to trusts. In some cases, this has limited the aspects of data that can be submitted in the MSDS. Since last month, this publication contains a new Clinical Quality Improvement Metric (CQIM) called CQIMReadmissions. This new metric reports the number of babies born in hospital then discharged home, who were then readmitted to hospital while still under 30 days old. This is supported by five new data quality metrics to ensure we only publish CQIMReadmissions figures where the underlying data is of sufficient completeness and quality. The new data quality metrics are CQIMDQ46 to CQIMDQ50. Further information about this new readmissions metric can found in this publication’s Data Quality Statement. This new data can be found in the Measures file available for download and in the CQIM and CQIM+ pages in the National Maternity Dashboard, and further information on the new metrics can be found in the accompanying Metadata file. To help Trusts understand to what extent they met the Clinical Negligence Scheme for Trusts (CNST) Maternity Incentive Scheme (MIS) Data Quality Criteria for Safety Action 2, we have been producing a CNST Scorecard Dashboard showing trust performance against this criteria. This dashboard has been updated following the release of CNST Y6 criteria, and can be accessed via the link below. The percentages presented in this report are based on rounded figures and therefore may not total to 100%.
The Freedom of Information Act 2000 (FOI Act) and the associated Environmental Information Regulations 2004 (EIRs) came fully into force on 1 January 2005.
This bulletin presents statistics on their implementation within the central government monitored bodies for the quarterly period of April to June 2021.
Freedom of Information statistics are designated National Statistics in accordance with the Statistics and Registration Service Act 2007. National Statistics status means that official statistics meet the highest standards of trustworthiness, quality, and public value. All official statistics should comply with all aspects of the Code of Practice for Official Statistics. They are awarded National Statistics status following an assessment the UK Statistics Authority’s regulatory arm. The Authority considers whether the statistics meet the highest standards of Code compliance, including the value they add to public decisions and debate. FOI statistics were most recently assessed by the Authority during 2016, with continuing designation granted in June 2017.
All Cabinet Office official statistics are governed by the standards set out by the UK Statistics Authority in their code of practice. These can be found on our statistics standards and policies page. Further detail on the production of the FOI statistics can be found on our FOI statistics supporting documents page.
We would welcome views on Freedom of Information Statistics. https://goo.gl/forms/sWmbhdgBorYSmXBe2" class="govuk-link">Please fill out our user feedback form or email us at foistatistics@cabinetoffice.gov.uk.
Feedback received will contribute to future development of these statistics.
From April 2013, the release of this publication will not be announced on the Statistics Publication Hub in line with the new MOD policy of only announcing National Statistics on the Hub. Please Refer to www.dasa.mod.uk for the latest release dates for this and other official statistics. Source agency: Defence Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Operational Fatality and Casualty Statistics
See our new monthly data page for data from November 2024 onwards.
These official statistics were independently reviewed by the Office for Statistics Regulation in May 2022. They comply with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics and should be labelled ‘accredited official statistics’. Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. Further explanation of accredited official statistics can be found on the https://osr.statisticsauthority.gov.uk/accredited-official-statistics/" class="govuk-link">Office for Statistics Regulation website.
In response to user feedback, we are testing alternative ways of presenting the monthly data sets as visualisations on the UKHSA data dashboard. The current data sets will continue to be published as normal and users will be consulted prior to any significant changes. We encourage users to review and provide feedback on the new dashboard content.
Monthly counts of total reported, hospital-onset, hospital-onset healthcare associated (HOHA), community-onset healthcare associated (COHA), community-onset and community-onset community associated (COCA) MRSA bacteraemias by NHS organisations.
These documents contain the monthly counts of total reported, hospital-onset and community-onset MRSA bacteraemia by NHS organisations.
The UK Government Web Archive contains MRSA bacteraemia data from previous financial years, including:
data from https://webarchive.nationalarchives.gov.uk/ukgwa/20230510143423/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2022 to 2023
data from https://webarchive.nationalarchives.gov.uk/ukgwa/20220614173109/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2021 to 2022
data from https://webarchive.nationalarchives.gov.uk/20210507180210/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2020 to 2021
data from https://webarchive.nationalarchives.gov.uk/20200506173036/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2019 to 2020
data from https://webarchive.nationalarchives.gov.uk/20190508011104/https://www.gov.uk/government/collections/staphylococcus-aureus-guidance-data-and-analysis" class="govuk-link">2018 to 2019
data from https://webarchive.nationalarchives.gov.uk/20180510152304/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-attributed-clinical-commissioning-group" class="govuk-link">2017 to 2018
data from https://webarchive.nationalarchives.gov.uk/20170515101840tf_/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-attributed-clinical-commissioning-group" class="govuk-link">2013 to 2014, up to 2016 to 2017
data from https://webarchive.nationalarchives.gov.uk/20140712114853tf_/http://www.hpa.org.uk/web/HPAweb&HPAwebStandard/HPAweb_C/1254510675444" class="govuk-link">2013 and earlier
Financial overview and grant giving statistics of California Association Of Public Information Officials
This is an Experimental Official Statistics publication produced by HM Revenue and Customs (HMRC) using HMRC’s Coronavirus Job Retention Scheme claims data.
This publication covers all Coronavirus Job Retention Scheme claims submitted by employers from the start of the scheme up to 31 March 2021. It includes statistics on the claims themselves and the jobs supported.
Data from HMRC’s Real Time Information (RTI) system has been matched with Coronavirus Job Retention Scheme data to produce analysis of claims by:
For more information on Experimental Statistics and governance of statistics produced by public bodies please see the https://uksa.statisticsauthority.gov.uk/about-the-authority/uk-statistical-system/types-of-official-statistics" class="govuk-link">UK Statistics Authority website.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Office of Gun Violence Prevention (OGVP) shares real-time gun violence data to increase government transparency, improve the public's awareness, and support community-based gun violence prevention and reduction partners. All District crime data is available through Crime Cards. The dashboards below focus on gun violence only. The data in these dashboards is updated daily at 7:40AM with the incidents from the day before. View data covering 7-Day Look-back of Gun Violence and Year-to-date Gun Violence.All statistics presented here are based on preliminary DC criminal code offense definitions. The data do not represent official statistics submitted to the FBI under the Uniform Crime Reporting program (UCR) or National Incident Based Reporting System (NIBRS). All preliminary offenses are coded based on DC criminal code and not the FBI offense classifications. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. The MPD does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The MPD will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. Read complete data notes at buildingblocks.dc.gov/data.
The Bath and North East Somerset Council has one of the largest databases in the world on the production and trade of minerals. The dataset contains annual production statistics by mass for more than 70 mineral commodities covering the majority of economically important and internationally-traded minerals, metals and mineral-based materials. For each commodity the annual production statistics are recorded for individual countries, grouped by continent. Import and export statistics are also available for years up to 2002. Maintenance of the database is funded by the Science Budget and output is used by government, private industry and others in support of policy, economic analysis and commercial strategy. As far as possible the production data are compiled from primary, official sources. Quality assurance is maintained by participation in such groups as the International Consultative Group on Non-ferrous Metal Statistics. Individual commodity and country tables are available for sale on request.
These figures are published as ‘official statistics in development’ because they are a new statistics series and are still in development. They are published to inform users about the uptake of the Boiler Upgrade Scheme and to enable user feedback, as well as further methodological development. The status of these statistics will be under regular review and may be subject to change in the future.
From the publication of Thursday 27 February onwards, the ‘in development’ label will be removed and the statistics published as ‘official statistics’. This is because:
Feedback or any objections to this proposal is welcomed by Friday 14 February.
Enquiries about these statistics should be directed to: amelia.ash@energysecurity.gov.uk.
In November 2024, the unemployment rate in Russia exceeded two percent, having stayed on the same level as in the previous month. By comparison, 3.7 percent of the workforce aged 15 years and older nationwide were unemployed in the corresponding period two years prior. In 2022, the annual unemployment rate in Russia was measured at approximately 3.2 percent. Causes of unemployment in Russia The country’s labor market situation deteriorated in the summer of 2020 due to the coronavirus (COVID-19) pandemic. The number of jobs contributed by the travel and tourism industry decreased from 3.3 million to 3 million between 2019 and 2022, though the figures started to recuperate again in 2023. Furthermore, Russia has witnessed an exodus of companies due to the invasion of Ukraine in 2022. Leading international companies like McDonald’s, Renault Group, and PepsiCo suspended their operations in the country, thus putting thousands of employees in Russia at risk of unemployment. Russia’s unemployment in global perspective Russia’s unemployment rate is lower than in most other G20 countries. This is largely due to a low fertility rate in the 1990s which has resulted in a demographic dip and left the country with fewer young workers actively seeking employment. Moreover, Russia’s weak social protection, as expressed by unemployment benefits lower than in most European countries, encourages people to find a new job rapidly. An estimated 30 million Russians were not officially registered as unemployed by working in the shadow economy as of 2021.
Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).
Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).
This statistic shows the contributions Taiwan's official development assistance (ODA) made to economic infrastructure in 2022, by category. In that year, ODA's contribution to the renewable energy generation sector amounted to around 4.4 million U.S. dollars.
Official statistics are produced impartially and free from political influence.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This Alberta Official Statistic contains 2000-2014 crop production data. Crop production statistics are designed to provide accurate and timely estimates of production of major grains and oilseeds in Alberta. Crop production statistics are designed to provide accurate and timely estimates of production of major grains and oilseeds in Alberta, including wheat, barley, oats, rye, canola and flaxseed. The data are used by Agriculture and Agri-food Canada and other federal departments to develop and administer agricultural policies. This information is also used by provincial departments and industry stakeholders for production/price analysis, and economic research.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Contains standardised Mortality Ratios (SMRs) calculated for wards in England and Wales for deaths under age 85, based on mortality data from 1999-2003.
Source agency: Office for National Statistics
Designation: Official Statistics not designated as National Statistics
Language: English
Alternative title: SMR
Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Honduras HN: Net Intake Rate in Grade 1: % of Official School-Age Population data was reported at 71.854 % in 2016. This records an increase from the previous number of 67.889 % for 2015. Honduras HN: Net Intake Rate in Grade 1: % of Official School-Age Population data is updated yearly, averaging 63.624 % from Dec 2000 (Median) to 2016, with 13 observations. The data reached an all-time high of 71.854 % in 2016 and a record low of 47.234 % in 2000. Honduras HN: Net Intake Rate in Grade 1: % of Official School-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Honduras – Table HN.World Bank: Education Statistics. Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Describes the different experiences of social groups in the UK today in six key areas: education, work, income, living standards, health, and participation.
Source agency: Office for National Statistics
Designation: Official Statistics not designated as National Statistics
Language: English
Alternative title: FoSI
2018-2023 Statistics on the work of the Legal Department
https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
This statistical release makes available the most recent monthly data on NHS-funded maternity services in England, using data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the newest version of the data set, MSDS.v.2, which has been in place since April 2019. The new data set was a significant change which added support for key policy initiatives such as continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This was a major change, so data quality and coverage initially reduced from the levels seen in earlier publications. MSDS.v.2 data completeness improved over time, and we are looking at ways of supporting further improvements. This publication also includes the National Maternity Dashboard, which can be accessed via the link below. Data derived from SNOMED codes is used in some measures such as those for birthweight, and others will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs), where rules have been applied to ensure measure rates are calculated only where data quality is high enough. System suppliers are at different stages of development and delivery to trusts. In some cases, this has limited the aspects of data that can be submitted in the MSDS. Since last month, this publication contains a new Clinical Quality Improvement Metric (CQIM) called CQIMReadmissions. This new metric reports the number of babies born in hospital then discharged home, who were then readmitted to hospital while still under 30 days old. This is supported by five new data quality metrics to ensure we only publish CQIMReadmissions figures where the underlying data is of sufficient completeness and quality. The new data quality metrics are CQIMDQ46 to CQIMDQ50. Further information about this new readmissions metric can found in this publication’s Data Quality Statement. This new data can be found in the Measures file available for download and in the CQIM and CQIM+ pages in the National Maternity Dashboard, and further information on the new metrics can be found in the accompanying Metadata file. To help Trusts understand to what extent they met the Clinical Negligence Scheme for Trusts (CNST) Maternity Incentive Scheme (MIS) Data Quality Criteria for Safety Action 2, we have been producing a CNST Scorecard Dashboard showing trust performance against this criteria. This dashboard has been updated following the release of CNST Y6 criteria, and can be accessed via the link below. The percentages presented in this report are based on rounded figures and therefore may not total to 100%.