This is a searchable historical collection of standards referenced in regulations - Voluntary consensus standards, government-unique standards, industry standards, and international standards referenced in the Code of Federal Regulations (CFR).
All releases listed are published at 9.30am with the exception of Public Sector Finances releases which are published at 7.00am
6 January 2025 | UK Official Holdings of Reserves – December 2024 | Accredited Official Statistics |
16 January 2025 | Bank Referral Scheme – January 2025 | Official Statistics |
22 January 2025 | Public Sector Finances – December 2024 | Accredited Official Statistics |
5 February 2025 | UK Official Holdings of Reserves – January 2025 | Accredited Official Statistics |
21 February 2025 | Public Sector Finances – January 2025 | Accredited Official Statistics |
26 February 2025 | Mortgage guarantee scheme – Quarter 3 2024 | Official Statistics |
28 February 2025 | Public Spending Statistics – February update including as hoc release of R&D information | Accredited Official Statistics |
5 March 2025 | UK Official Holdings of Reserves – February 2025 | Accredited Official Statistics |
21 March 2025 | Public Sector Finances – February 2025 | Accredited Official Statistics |
21 March 2025 | OSCAR Quarterly Transparency Release – Quarter 3 2024/25 | Official Statistics |
3 April 2025 | UK Official Holdings of Reserves – March 2025 | Accredited Official Statistics |
23 April 2025 | Public Sector Finances – March 2025 | Accredited Official Statistics |
6 May 2025 | UK Official Holdings of Reserves – April 2025 | Accredited Official Statistics |
22 May 2025 | Public Sector Finances – April 2025 | Official Statistics |
29 May 2025 | Mortgage guarantee scheme – Quarter 4 2024 | Official Statistics |
30 May 2025 | Public Spending Statistics 2023/24 – May update | Accredited Official Statistics |
4 June 2025 | UK Official Holdings of Reserves – May 2025 | Accredited Official Statistics |
20 June 2025 | Public Sector Finances – May 2025 | Accredited Official Statistics |
20 June 2025 | OSCAR Quarterly Transparency Release – Quarter 4 2024/25 | Official Statistics |
3 July 2025 | UK Official Holdings of Reserves – June 2025 | Accredited Official Statistics |
17 July 2025 | Public Spending Statistics – 2024/25 | Accredited Official Statistics |
22 July 2025 | Public Sector Finances – June 2025 | Accredited Official Statistics |
5 August 2025 | UK Official Holdings of Reserves – July 2025 | Accredited Official Statistics |
21 August 2025 | Public Sector Finances – July 2025 | Accredited Official Statistics |
27 August 2025 | Mortgage guarantee scheme – Quarter 1 2025 | Official Statistics |
3 September 2025 | UK Official Holdings of Reserves – August 2025 | Accredited Official Statistics |
19 September 2025 | Public Sector Finances – August 2025 | Accredited Official Statistics |
September 2025 (Date TBC) | OSCAR Quarterly Transparency Release – Quarter 1 2024/25 | Official Statistics |
3 October 2025 | UK Official Holdings of Reserves – September 2025 | Accredited Official Statistics |
21 October 2025 | Public Sector Finances – September 2025 | Accredited Official Statistics |
5 November 2025 | UK Officia |
The Statistics and Registration Service Act 2007 required the UK Statistics Authority to publish a Code of Practice for statistics. Only those statistics assessed as compliant with the code will be designated as National Statistics.
The Cabinet Office has made arrangements to implement the code when publishing statistics, as set out in our standards and policies.
The documents contained in this dataset reflect NASA's comprehensive IT policy in compliance with Federal Government laws and regulations.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This is the current version of Oregon's Open Data Technical Standards Manual. The Technical Standards Manual provides guidelines for release of publishable data on the web portal at data.oregon.gov, and requirements for agencies publishing open spatial data in compliance with the State’s Open Data Standard.
BioCTS for ISO/IEC Biometric Data Interchange Format Standards and Selected PIV Profiles is a conformance testing architecture that tests biometric data interchange records for conformance to ISO/IEC based biometric data interchange formats. The software includes a graphical user interface, several different conformance test suites, and provides detailed descriptions of any errors found.
The specifications and guidelines in this Data Management Plan will improve data consistency and availability of information. It will ensure that all levels of government and the public have access to the most up-to-date information; reduce or eliminate overlapping data requests and redundant data maintenance; ensure metadata is consistently created; and ensure that data services can be displayed by the consumer with the output of its choice.
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 January to March 2025.
These statistics have been independently reviewed by the https://osr.statisticsauthority.gov.uk/what-we-do/" class="govuk-link">Office for Statistics Regulation (OSR). They comply with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/the-code/" class="govuk-link">Code of Practice for Statistics. Accredited official statistics are called National Statistics in the https://www.legislation.gov.uk/ukpga/2007/18/contents" class="govuk-link">Statistics and Registration Service Act 2007.
Accreditation signifies their compliance with the authority’s https://code.statisticsauthority.gov.uk/the-code/" class="govuk-link">Code of Practice for Statistics which broadly means these statistics are:
Our statistical practice is regulated by the Office for Statistics Regulation (OSR).
OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/the-code/" class="govuk-link">Code of Practice for Statistics that all producers of official statistics should adhere to.
These statistics were independently reviewed by the OSR in June 2017. See https://uksa.statisticsauthority.gov.uk/publication/assessment-of-freedom-of-information-statistics-implementation-in-central-government/" class="govuk-link">Assessment Report 328 Freedom of Information Statistics - implementation in Central Government. Since this review by the OSR, we have continued to comply with the Code of Practice for Statistics.
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://docs.google.com/forms/d/e/1FAIpQLSdANtqjWv8V6W4CuiUmMnPRFuSKYayHKuKjneHd-jpxDXnPYQ/viewform?c=0&w=1" class="govuk-link">Please fill in our user feedback form or email us at foistatistics@cabinetoffice.gov.uk. Feedback received will contribute to future development of these statistics.
This study aims to help address the issue of the appropriate use of statistical data in policy development in Serbia. Faced with enterprise restructuring, high unemployment and high levels of social exclusion, as well as the consequences of internal population displacement, the Government of Serbia (GoS) has recognized and acknowledged the need for fundamental reforms in social policy area and the collection of adequate data of social statistics. Reliable household data are scarce in Serbia, with the result that social policy making is put on a precarious basis. The exceptional circumstances of Serbia have left a legacy of immense complexity, in which social groups have become fractured and excluded. A statistically reliable basis for policy making, particularly in the social sphere, is a priority. Data on poverty and living standards are seen as a part of information system to support decision making by the GoS and its line Ministries. The public is also keenly interested in poverty data. Therefore poverty data are also crucially important for strategic planning bodies within GoS, and for donors in assessing their strategies in support of the Poverty Reduction Strategy (PRS).
National
Households
Sample survey data [ssd]
The population for LSMS consists of Republic of Serbia residents, excluding Kosovo and Metohija . The sampling frame for the LSMS was based on the Enumeration District (ED) delineated for the 2002 Serbia Census, excluding those with less than 20 households. It is estimated that the households in the excluded EDs only represent about 1 percent of the population of Serbia. The sampling frame also excludes the population living in group quarters, institutions and temporary housing units, as well as the homeless population: these groups also represent less than 1 percent of the population, so the sampling frame should cover at least 98 percent of the Serbian population. Stratification was done in the same way as for the previous LSMSs. Enumeration District were stratified according to: (1) Region in 6 strata (Vojvodina, Belgrade, West Serbia, Sumadija and Pomoravlj e, East Serbia and South East Serbia) (2) Type of settlement (urban and other)
The allocation of EDs according to region and type of settlement was propoI1ionai to the number of occupied dwellings, adjusted to provide sufficient precision of estimates at the regional level. To provide optimal sample sizes in each region we decided that the minimum number of allocated EDs to each stratum should be 60. The result of this procedure was a slight deviation from strictly proportional allocation. The sample size for LSMS 2007 was 71 40 households from 510 selected EDs. Within each ED 14 occupied dwellings were selected. From each selected occupied dwelling one household was selected (using a Kish Grid). The sample size was determined according with the aim of achieving 5,000 household interviews with an expected non-response rate of around 30%. The final response rate was 78%, producing a sample size of 5,557 households.
The overall estimated total number of households from the 2007 LSMS based on the final weights is about 10 percent lower than the corresponding figure from the 2002 Census frame. The difference is larger for the rural strata (12.1 percent) than the urban strata (8.7 percent). These differences probably include an actual decline in the number of households in some strata and may also reflect the quality of the updating of the listing of occupied dwelling units in sample EDs.
Face-to-face [f2f]
Response rate was 78 percent
A quick refresher course for those who have had statistical training in the past or a fast-paced introduction to basic statistics for beginners. Statistical measures such as percentages, averages, frequency and standard error are used widely. But how are they calculated, and exactly what do they tell us? This one day workshop will help participants develop an appreciation of the potential of statistics and a critical eye of when and how they should or shouldn't be used.
https://data.gov.tw/licensehttps://data.gov.tw/license
Provide the annual report of the Bureau of Standards Inspection - Product Inspection Category Data.
The Network Adequacy Standards data is divided out by Provider Type, Adult and Pediatric separately, so that the Time or Distance analysis can be performed with greater detail. These standards differ by County due to the County "type" which is based on the population density of the county. There are 5 county categories within California; Rural (<50 people/sq mile), Small (51-200 people/sq mile), Medium (201-599 people/sq mile), and Dense (>600 people/sq mile).HospitalsOB/GYN SpecialtyAdult Cardiology/Interventional CardiologyAdult DermatologyAdult EndocrinologyAdult ENT/OtolaryngologyAdult GastroenterologyAdult General SurgeryAdult HematologyAdult HIV/AIDS/Infectious DiseaseAdult Mental Health Outpatient ServicesAdult NephrologyAdult NeurologyAdult OncologyAdult OphthalmologyAdult Orthopedic SurgeryAdult PCPAdult Physical Medicine and RehabilitationAdult PsychiatryAdult PulmonologyPediatric Cardiology/Interventional CardiologyPediatric DermatologyPediatric EndocrinologyPediatric ENT/OtolaryngologyPediatric GastroenterologyPediatric General SurgeryPediatric HematologyPediatric HIV/AIDS/Infectious DiseasePediatric Mental Health Outpatient ServicesPediatric NephrologyPediatric NeurologyPediatric OncologyPediatric OphthalmologyPediatric Orthopedic SurgeryPediatric PCPPediatric Physical Medicine and RehabilitationPediatric PsychiatryPediatric Pulmonology
https://www.nist.gov/open/licensehttps://www.nist.gov/open/license
THIS DATASET IS OBSOLETE. PLEASE REFERENCE THE NEWER MAPPING IN OLIR (https://doi.org/10.18434/mds2-3215). The spreadsheets in this data set map National Institute of Standards and Technology (NIST) Cybersecurity Framework Subcategory outcomes to requirements of the North American Electric Reliability Corporation (NERC) Critical Infrastructure Protection (CIP) Standards.
The NASA Technical Standards Program provides access to NASA developed standards and handbooks. The NASA Standards and Technical Assistance Resource Tool, or START, is a Web tool sponsored by the NASA Technical Standards Program. The idea is to make it simpler for technical people to access great NASA technical information quickly and conveniently.
A bilateral study to compare guarded-hot-plate measurements at extended temperatures between laboratories at the National Institute of Standards and Technology (NIST) and the National Physical Laboratory (NPL) is presented. Measurements were conducted in accordance with standardized test methods (ISO 8302 or ASTM C177) over a temperature range from 20 °C to 160 °C (293 K to 433 K). Following a blind round-robin format, specimens of non-woven fibrous glass mat, approximately 22 mm thick and having a nominal bulk density of 200 kg/m3, were prepared and studied. Results of the study show that the thermal conductivity measurements agree over the temperature range of interest to within ±1.0 %, or less. See also related "Data from: Collaborative Guarded-Hot-Plate Tests between the Laboratoire national de métrologie et d'essais and the National Institute of Standards and Technology," accessible at https://doi.org/10.18434/T4XK5G
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
International standards data showing the assets and liabilities of the UK's other financial corporations.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
European Telecommunications Standards Institute (ETSI) IPR dataset for technical standards. These are the US assets disclosed by companies as related to technical standards in ETSI. The two major ones included are 3GPP and LTE.
This dataset contains food hygiene ratings scraped from the Food Standards Agency (FSA) website: https://www.food.gov.uk/our-data
This data is licensed under the Open Government Licence (OGL) v3.0 (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/)
Physical Models and Dimensional Traceability of 2.4 mm Coaxial Airline Standards for Determining Systematic Uncertainties of Calibrated Scattering-Parameters
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Jordan JO: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time data was reported at 5.300 % in 2013. This records a decrease from the previous number of 6.700 % for 2006. Jordan JO: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time data is updated yearly, averaging 6.000 % from Dec 2006 (Median) to 2013, with 2 observations. The data reached an all-time high of 6.700 % in 2006 and a record low of 5.300 % in 2013. Jordan JO: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank: Company Statistics. Time spent dealing with the requirements of government regulations is the proportion of senior management's time, in a typical week, that is spent dealing with the requirements imposed by government regulations (e.g., taxes, customs, labor regulations, licensing and registration, including dealings with officials, and completing forms).; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
This is a searchable historical collection of standards referenced in regulations - Voluntary consensus standards, government-unique standards, industry standards, and international standards referenced in the Code of Federal Regulations (CFR).