100+ datasets found
  1. Social media data collections concerns U.S. 2023

    • statista.com
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    Statista, Social media data collections concerns U.S. 2023 [Dataset]. https://www.statista.com/statistics/1377281/us-concerns-about-social-media-data-collected/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 20, 2023 - Mar 22, 2023
    Area covered
    United States
    Description

    According to a 2023 survey of adults in the United States, most respondents expressed concern regarding social media companies data collection practices. About ** percent of respondents were very concerned about how social media platforms collect their personal data, while ** percent were somewhat concerned. In contrast, only ** percent of respondents were not very concerned, and a mere **** percent of respondents were not at all concerned about their personal data being collected by these companies.

  2. Leading data collection methods among U.S. consumers 2023

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Leading data collection methods among U.S. consumers 2023 [Dataset]. https://www.statista.com/statistics/1269920/first-party-data-usa/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2023
    Area covered
    United States
    Description

    During a 2023 survey carried out among working-age consumers from the United States, nearly ******* respondents stated that they preferred for their data to be collected via interactive surveys. Roughly a ***** name a loyalty card/program as their favored data collection method.

  3. m

    Employee Privacy Concerns Statistics and Facts

    • market.biz
    Updated Aug 20, 2025
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    Market.biz (2025). Employee Privacy Concerns Statistics and Facts [Dataset]. https://market.biz/employee-privacy-concerns-statistics/
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    Dataset updated
    Aug 20, 2025
    Dataset provided by
    Market.biz
    License

    https://market.biz/privacy-policyhttps://market.biz/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Australia, Africa, South America, ASIA, Europe, North America
    Description

    Introduction

    Employee Privacy Concerns Statistics: Employees are concerned about their privacy in the modern digital workplace. As the use of monitoring tools has grown, 60% of companies are now using monitoring tools and software to monitor the productivity and behaviour of their employees. 65% of employees are using monitoring software with the constant fear of how their data is being collected and used by their employers.

    The fact that almost 43% of companies collect web activity data, and 30% of companies use biometric monitoring tools like facial recognition, fingerprint sensors, etc., has possible consequences on personal privacy. Yet, only 37% of HR leaders believe their company is fully compliant with privacy laws and regulations. Therefore, it shows the growing concerns between operational efficiency and an employee’s right to privacy.

  4. U.S. adults on companies' constantly tracking and collecting their personal...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). U.S. adults on companies' constantly tracking and collecting their personal data 2024 [Dataset]. https://www.statista.com/statistics/1545711/us-consumer-tracking-collecting-personal-data/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 15, 2024 - Oct 16, 2024
    Area covered
    United States
    Description

    An October 2024 survey among adults in the United States found that around ** percent of respondents assume that companies are always collecting and tracking their personal data, compared to only ** percent of those who did not think so.

  5. Fourth report on statistics being collected under the exit checks programme

    • gov.uk
    Updated Aug 22, 2019
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    Home Office (2019). Fourth report on statistics being collected under the exit checks programme [Dataset]. https://www.gov.uk/government/statistics/fourth-report-on-statistics-being-collected-under-the-exit-checks-programme
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    Dataset updated
    Aug 22, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    This report provides data collected on travellers departing and arriving in the UK as part of the Home Office exit checks programme with a particular focus on the requirements for statistical reporting rather than the operational use of the data.

    User Guide to the Home Office statistics on exit checks.

  6. Ceasing data collection at Basic Command Unit (BCU) level: consultation

    • gov.uk
    Updated Oct 20, 2011
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    Home Office (2011). Ceasing data collection at Basic Command Unit (BCU) level: consultation [Dataset]. https://www.gov.uk/government/statistics/ceasing-data-collection-at-basic-command-unit-bcu-level-consultation
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    Dataset updated
    Oct 20, 2011
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    Consultation

    The Coalition Agreement proposed to cut police bureaucracy and as part of this there has been a review of requirements for police forces to submit data to the Home Office. This has already resulted in reductions to the coverage, detail and frequency of a number of data collections not affecting National Statistics outputs. It has also been proposed that from April 2012 police forces should no longer be required to submit monthly totals of recorded crimes and detections at Basic Command Unit (BCU) level.

    In the past, BCU level recorded crime and detections figures have been released annually alongside the July crime statistics publication. Recorded crime data will continue to be published at Police Force and Community Safety Partnership (CSP) level on a quarterly basis, and detections data will continue to be published at Force level on an annual basis. BCUs reflect the organisational structure of a force, with each BCU covering a particular geographic area. As they reflect management structures, BCU boundaries can change frequently, which can reduce the statistical utility of data collected at this level. A number of smaller forces have discontinued the BCU model altogether, operating in effect as single BCU forces. CSPs provide a more stable basis for statistical analysis at a similar geographic granularity and also have the advantage of aligning to local authority boundaries for which other data sets are generally available.

    Please send any comments on these proposals to crimestats@homeoffice.gsi.gov.uk by 12 January 2012.

    Response from Home Office Statistics

    1. Introduction

    Home Office Statistics launched a 12 week consultation alongside the publication of the http://www.homeoffice.gov.uk/publications/science-research-statistics/research-statistics/crime-research/hosb1611/">Crime in England and Wales: Quarterly Update to June 2011. The consultation period ended on 12 January 2012 and below is a response and an outline of actions and decisions taken, or to be taken.

    1. Background

    The Coalition Agreement proposed to cut police bureaucracy and review requirements for police forces to submit data to the Home Office. As part of this it was proposed that from April 2012 police forces should no longer be required to submit monthly totals of recorded crimes and detections at Basic Command Unit (BCU) level.

    1. Response to the consultation and the way forward

    One response was received to the proposal to drop collection at BCU level which generally welcomed the change.

    BCU boundaries can change frequently, which can reduce the statistical utility of data collected at this level. Community Safety Partnerships (CSPs) provide a more stable basis for statistical analysis at a similar geographic granularity and also have the advantage of aligning to local authority boundaries for which other data sets are generally available

    From April 2012 The Home Office will not require police forces to return data of recorded crimes and detections at BCU level. Recorded crime data will continue to be published at Police Force and CSP level on a quarterly basis, and detections will continue to be published at Force level on an annual basis.

    The Home Office would like to thank all those who responded and contributed to the consultation process.

  7. Third report on statistics being collected under the exit checks programme

    • gov.uk
    Updated Aug 23, 2018
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    Home Office (2018). Third report on statistics being collected under the exit checks programme [Dataset]. https://www.gov.uk/government/statistics/third-report-on-statistics-being-collected-under-the-exit-checks-programme
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    Dataset updated
    Aug 23, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    This report provides data collected on travellers departing and arriving in the UK as part of the Home Office exit checks programme with a particular focus on the requirements for statistical reporting rather than the operational use of the data.

    User Guide to the Home Office statistics on exit checks.

  8. iOS apps that declared collecting global users private data 2025

    • statista.com
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    Statista, iOS apps that declared collecting global users private data 2025 [Dataset]. https://www.statista.com/statistics/1322669/ios-apps-declaring-collecting-data/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Worldwide
    Description

    As of January 2025, around 13.7 percent of paid iOS apps admitted collecting data from users engaging with their mobile products. In comparison, approximately 53 percent of free-to-download iOS apps reported they collect private data from users worldwide, while approximately 86 percent of paid apps have not declared whether they collect users' privacy data.

  9. Data quality and methodology (TSM 2024)

    • gov.uk
    Updated Nov 26, 2024
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    Regulator of Social Housing (2024). Data quality and methodology (TSM 2024) [Dataset]. https://www.gov.uk/government/statistics/data-quality-and-methodology-tsm-2024
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    Dataset updated
    Nov 26, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Regulator of Social Housing
    Description

    Contents

    Introduction

    This report describes the quality assurance arrangements for the registered provider (RP) Tenant Satisfaction Measures statistics, providing more detail on the regulatory and operational context for data collections which feed these statistics and the safeguards that aim to maximise data quality.

    Background

    The statistics we publish are based on data collected directly from local authority registered provider (LARPs) and from private registered providers (PRPs) through the Tenant Satisfaction Measures (TSM) return. We use the data collected through these returns extensively as a source of administrative data. The United Kingdom Statistics Authority (UKSA) encourages public bodies to use administrative data for statistical purposes and, as such, we publish these data.

    These data are first being published in 2024, following the first collection and publication of the TSM.

    Official Statistics in development status

    In February 2018, the UKSA published the Code of Practice for Statistics. This sets standards for organisations producing and publishing statistics, ensuring quality, trustworthiness and value.

    These statistics are drawn from our TSM data collection and are being published for the first time in 2024 as official statistics in development.

    Official statistics in development are official statistics that are undergoing development. Over the next year we will review these statistics and consider areas for improvement to guidance, validations, data processing and analysis. We will also seek user feedback with a view to improving these statistics to meet user needs and to explore issues of data quality and consistency.

    Change of designation name

    Until September 2023, ‘official statistics in development’ were called ‘experimental statistics’. Further information can be found on the https://www.ons.gov.uk/methodology/methodologytopicsandstatisticalconcepts/guidetoofficialstatisticsindevelopment">Office for Statistics Regulation website.

    User feedback

    We are keen to increase the understanding of the data, including the accuracy and reliability, and the value to users. Please https://forms.office.com/e/cetNnYkHfL">complete the form or email feedback, including suggestions for improvements or queries as to the source data or processing to enquiries@rsh.gov.uk.

    Publication schedule

    We intend to publish these statistics in Autumn each year, with the data pre-announced in the release calendar.

    All data and additional information (including a list of individuals (if any) with 24 hour pre-release access) are published on our statistics pages.

    Quality assurance of administrative data

    The data used in the production of these statistics are classed as administrative data. In 2015 the UKSA published a regulatory standard for the quality assurance of administrative data. As part of our compliance to the Code of Practice, and in the context of other statistics published by the UK Government and its agencies, we have determined that the statistics drawn from the TSMs are likely to be categorised as low-quality risk – medium public interest (with a requirement for basic/enhanced assurance).

    The publication of these statistics can be considered as medium publi

  10. f

    Data collection statistics.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jul 6, 2015
    + more versions
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    Gemmecker, Sandra; Koschmieder, Julian; Einsle, Oliver; Schaub, Patrick; Drepper, Friedel; Beyer, Peter; Rodriguez-Franco, Marta; Brausemann, Anton; Warscheid, Bettina; Ghisla, Sandro (2015). Data collection statistics. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001850087
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    Dataset updated
    Jul 6, 2015
    Authors
    Gemmecker, Sandra; Koschmieder, Julian; Einsle, Oliver; Schaub, Patrick; Drepper, Friedel; Beyer, Peter; Rodriguez-Franco, Marta; Brausemann, Anton; Warscheid, Bettina; Ghisla, Sandro
    Description

    Values in parentheses represent the highest resolution shell.Data collection statistics.

  11. i

    American Statistical Association Collection Data

    • digitalcollections.lib.iastate.edu
    Updated Feb 18, 2025
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    Iowa State University Library Digital Collections (2025). American Statistical Association Collection Data [Dataset]. https://digitalcollections.lib.iastate.edu/americanstatisticalassociation/data.html
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    Dataset updated
    Feb 18, 2025
    Dataset authored and provided by
    Iowa State University Library Digital Collections
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Metadata and data derived from American Statistical Association Collection. The collection comprises records, correspondence, and reports of the association, including its founding documents.

  12. Methods currently used by marketing companies to collect customer data UK...

    • statista.com
    Updated Nov 5, 2020
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    Statista (2020). Methods currently used by marketing companies to collect customer data UK 2020 [Dataset]. https://www.statista.com/statistics/1185729/customer-data-collection-methods-uk/
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    Dataset updated
    Nov 5, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2020
    Area covered
    United Kingdom
    Description

    According to a survey carried out in August 2020 in the United Kingdom (UK), ** percent of marketing companies collected customer data through their website. Half did so through social media, while a slightly smaller share said they recorded customer data at organized events. Collection via purchase lists and preference centres were the least used methods.

  13. ENV19 - Quarterly local authority collected waste management statistics

    • gov.uk
    • s3.amazonaws.com
    Updated May 12, 2021
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    Department for Environment, Food & Rural Affairs (2021). ENV19 - Quarterly local authority collected waste management statistics [Dataset]. https://www.gov.uk/government/statistical-data-sets/env19-local-authority-collected-waste-quarterly-tables
    Explore at:
    Dataset updated
    May 12, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Environment, Food & Rural Affairs
    Description

    This data set covers the provisional quarterly estimates of local authority collected waste generation and management for England and the regions.

    If you require the data in another format or wish to comment please contact: enviro.statistics@defra.gov.uk

    https://assets.publishing.service.gov.uk/media/609a9dd08fa8f56a3f720b87/WFH_England_Data_April_June_2020.ods">Waste from households England data April to June 2020

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">25.2 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    https://assets.publishing.service.gov.uk/media/609a9dfcd3bf7f28890dab6e/WFH_England_Data_April_June_2020.xlsx">Waste from households England data April to June 2020

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">55 KB</span></p>
    

    <a class="govuk-link" target="_self" data-ga4-link='{"event_name":"file_download","ty

  14. Statistics Yearbook

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 14, 2025
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    Executive Office for Immigration Review (2025). Statistics Yearbook [Dataset]. https://catalog.data.gov/dataset/statistical-data-sets-collected-and-managed-by-the-organization
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    Dataset updated
    Nov 14, 2025
    Dataset provided by
    Executive Office for Immigration Reviewhttps://www.justice.gov/eoir
    Description

    Statistical data sets collected and managed by the organization

  15. Third country nationals returned following an order to leave - annual data...

    • ec.europa.eu
    Updated Oct 10, 2025
    + more versions
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    Eurostat (2025). Third country nationals returned following an order to leave - annual data (rounded) [Dataset]. http://doi.org/10.2908/MIGR_EIRTN
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    tsv, application/vnd.sdmx.data+csv;version=2.0.0, json, application/vnd.sdmx.genericdata+xml;version=2.1, application/vnd.sdmx.data+csv;version=1.0.0, application/vnd.sdmx.data+xml;version=3.0.0Available download formats
    Dataset updated
    Oct 10, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2008 - 2024
    Area covered
    Hungary, Slovakia, Norway, Montenegro, Denmark, United Kingdom, Czechia, Germany, Slovenia, Poland
    Description

    Enforcement of immigration legislation data (EIL statistics) contain statistical information based on Article 5 and 7 of the Council Regulation (EC) no 862/2007 as amended by the Regulation 2020/851 with reference to Third country nationals:

    • refused entry at the external border;
    • found to be illegally present;
    • ordered to leave;
    • returned following an order to leave.

    The national framework has an important impact on the resulted figures (the data comparability between the Member States is limited due to the national specific rules and procedures).

    EIL data are based on administrative sources and are provided mainly by the Ministries of Interior or related Immigration Agencies. All of the data collected are disaggregated by citizenship.

    Legal framework

    The EIL statistics based on Article 5 and 7 of the Council Regulation (EC) no 862/2007 as amended by the Regulation 2020/851.

    Some category of data is collected on voluntary basis.

    Recent change in EIL data collection

    https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" target="_blank">Regulation 2020/851 amending Council Regulation (EC) no 862/2007 introduced several changes such as increasing the frequency of the data collection on returns and collecting more breakdowns for the statistics on third country nationals found to be illegally present and third country nationals returned. 2021 year is the first reference period for the amendments (E.G., 1st quarter of 2021 represent the first reference period affected by the introduced by the Regulation 2020/851 for quarterly staistics on returns).

    More details on the changes see Annex 5, 2021 EIL Technical Guidelines (see below).

    Several member States applied for derogations regarding the new requirements mentioned by the https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" target="_blank">Regulation 2020/851. See list of the derogation granted are in the Commission implementing Decision (EU) 2021/431 of 10 March 2021 granting https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32021D0431&from=EN" target="_blank">derogations to certain Member States from Regulation (EC) No 862/2007

    Data disemination

    The dissemination of the annual statistics is mainly in March of each year for the previous reference year, depending on the data availability. The dissemination of the quarterly data is mainly in March, June, September and December, of each year for the previous reference quarter, depending on the data availability.

    Data have been rounded to the nearest 5 while the EU aggregate is computed using the unrounded figures, which may trigger inconsistencies between the aggregate and the sum of the values.

    Newer EIL statistics

    I. Starting with first reference year 2014 new statistics on third country nationals returned were collected by Eurostat on voluntary basis:

    • Third-country nationals who have left the territory by type of return and citizenship (migr_eirt_vol)
    • Third-country nationals who have left the territory by type of assistance received and citizenship (migr_eirt_ass)
    • Third-country nationals who have left the territory to a third country by type of agreement procedure and citizenship (migr_eirt_agr)
    • Third-country nationals who have left the territory to a third country by destination country and citizenship (migr_eirt_des)

    These new statistics is the result of a pilot data collection; clarifications and improvement is being pursued with the data providers. Technical and methodological limitations exist for some data providers and some figures might be estimated. As a result some inconsistency might exist between these statistics and the statistics provided for table 'Third country nationals returned following an order to leave (migr_eiord and migr_eirtn). In those cases where inconsistency between tables exists, data revision is expected.

    II. Starting with first quarter of 2018 new quartely statistics on third country returned were as well collected by Eurostat on voluntary basis:

    • Third country nationals returned following an order to leave by citizenship age and sex - quarterly data (rounded) (migr_eirtn1)
    • Third country nationals ordered to leave by citizenship, age and sex - quarterly data (rounded) (migr_eiord1)

    These new statistics were initially the result of a pilot data collection;

    III. Starting with first quarter of 2018 age and sex categories are collected for the statistics on thirst country nationals subject of return procedure (ordered to leave and returned persons), annual and quarterly data, for the following tables:

    • Third country nationals ordered to leave - annual data (rounded) (migr_eiord)
    • Third country nationals ordered to leave by citizenship, age and sex - quarterly data (rounded) (migr_eiord1)
    • Third country nationals returned following an order to leave - annual data (rounded) (migr_eirtn)
    • Third-country nationals returned following an order to leave, by type of return, citizenship, country of destination, age and and sex – quarterly data (rounded) (migr_eirtn1)

    IV. Starting with first quarter of 2021 the quarterly statistics on returns is becoming mandatory for all the Member States. Third country nationals unacompanied minors subject of return procedure are also collected following the https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" target="_blank">Regulation 2020/851. The following tables are collected under this framework in 2021:

    • Third country nationals ordered to leave by citizenship, age and sex - quarterly data (rounded) (migr_eiord1)
    • Third-country unaccompanied minors ordered to leave, by citizenship, age and sex of the minor – quarterly data (rounded) (migr_eiord2)
    • Third-country nationals returned following an order to leave, by type of return, citizenship, country of destination, age and and sex – quarterly data (rounded) (migr_eirtn1)
    • Third-country unaccompanied minors returned following an order to leave, by type of return, citizenship, country of destination, age and sex of the minor – quarterly data (rounded) (migr_eirtn2)

    Theese quality statistics are expected to meet the minimum requirements as stated in 2021 EIL Technical guidelines. However, the data availability is affected by the derogations granted to several countries, especially for the statistics on returns of unaccompanied minors. See list of the derogation granted are in the Commission implementing Decision (EU) 2021/431 of 10 March 2021 granting https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32021D0431&from=EN" target="_blank">derogations to certain Member States from Regulation (EC) No 862/2007

    Annex 4 present the data quality assessment done in June 2021 for the EIL quarterly statistics provided under the new framework refering to the https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" target="_blank">Regulation 2020/851.

  16. Nonemployer Statistics

    • icpsr.umich.edu
    Updated Jun 26, 2015
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    United States. Bureau of the Census (2015). Nonemployer Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36218
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    Dataset updated
    Jun 26, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36218/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36218/terms

    Area covered
    United States
    Description

    Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

  17. Third country nationals found to be illegally present - annual data...

    • ec.europa.eu
    Updated Apr 11, 2025
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    Eurostat (2025). Third country nationals found to be illegally present - annual data (rounded) [Dataset]. http://doi.org/10.2908/MIGR_EIPRE
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    application/vnd.sdmx.genericdata+xml;version=2.1, application/vnd.sdmx.data+xml;version=3.0.0, tsv, application/vnd.sdmx.data+csv;version=1.0.0, application/vnd.sdmx.data+csv;version=2.0.0, jsonAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2008 - 2024
    Area covered
    Romania, Portugal, Bulgaria, Ireland, Sweden, European Union, Liechtenstein, Slovakia, Italy, Cyprus
    Description

    Enforcement of immigration legislation data (EIL statistics) contain statistical information based on Article 5 and 7 of the Council Regulation (EC) no 862/2007 as amended by the Regulation 2020/851 with reference to Third country nationals:

    • refused entry at the external border;
    • found to be illegally present;
    • ordered to leave;
    • returned following an order to leave.

    The national framework has an important impact on the resulted figures (the data comparability between the Member States is limited due to the national specific rules and procedures).

    EIL data are based on administrative sources and are provided mainly by the Ministries of Interior or related Immigration Agencies. All of the data collected are disaggregated by citizenship.

    Legal framework

    The EIL statistics based on Article 5 and 7 of the Council Regulation (EC) no 862/2007 as amended by the Regulation 2020/851.

    Some category of data is collected on voluntary basis.

    Recent change in EIL data collection

    https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" target="_blank">Regulation 2020/851 amending Council Regulation (EC) no 862/2007 introduced several changes such as increasing the frequency of the data collection on returns and collecting more breakdowns for the statistics on third country nationals found to be illegally present and third country nationals returned. 2021 year is the first reference period for the amendments (E.G., 1st quarter of 2021 represent the first reference period affected by the introduced by the Regulation 2020/851 for quarterly staistics on returns).

    More details on the changes see Annex 5, 2021 EIL Technical Guidelines (see below).

    Several member States applied for derogations regarding the new requirements mentioned by the https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" target="_blank">Regulation 2020/851. See list of the derogation granted are in the Commission implementing Decision (EU) 2021/431 of 10 March 2021 granting https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32021D0431&from=EN" target="_blank">derogations to certain Member States from Regulation (EC) No 862/2007

    Data disemination

    The dissemination of the annual statistics is mainly in March of each year for the previous reference year, depending on the data availability. The dissemination of the quarterly data is mainly in March, June, September and December, of each year for the previous reference quarter, depending on the data availability.

    Data have been rounded to the nearest 5 while the EU aggregate is computed using the unrounded figures, which may trigger inconsistencies between the aggregate and the sum of the values.

    Newer EIL statistics

    I. Starting with first reference year 2014 new statistics on third country nationals returned were collected by Eurostat on voluntary basis:

    • Third-country nationals who have left the territory by type of return and citizenship (migr_eirt_vol)
    • Third-country nationals who have left the territory by type of assistance received and citizenship (migr_eirt_ass)
    • Third-country nationals who have left the territory to a third country by type of agreement procedure and citizenship (migr_eirt_agr)
    • Third-country nationals who have left the territory to a third country by destination country and citizenship (migr_eirt_des)

    These new statistics is the result of a pilot data collection; clarifications and improvement is being pursued with the data providers. Technical and methodological limitations exist for some data providers and some figures might be estimated. As a result some inconsistency might exist between these statistics and the statistics provided for table 'Third country nationals returned following an order to leave (migr_eiord and migr_eirtn). In those cases where inconsistency between tables exists, data revision is expected.

    II. Starting with first quarter of 2018 new quartely statistics on third country returned were as well collected by Eurostat on voluntary basis:

    • Third country nationals returned following an order to leave by citizenship age and sex - quarterly data (rounded) (migr_eirtn1)
    • Third country nationals ordered to leave by citizenship, age and sex - quarterly data (rounded) (migr_eiord1)

    These new statistics were initially the result of a pilot data collection;

    III. Starting with first quarter of 2018 age and sex categories are collected for the statistics on thirst country nationals subject of return procedure (ordered to leave and returned persons), annual and quarterly data, for the following tables:

    • Third country nationals ordered to leave - annual data (rounded) (migr_eiord)
    • Third country nationals ordered to leave by citizenship, age and sex - quarterly data (rounded) (migr_eiord1)
    • Third country nationals returned following an order to leave - annual data (rounded) (migr_eirtn)
    • Third-country nationals returned following an order to leave, by type of return, citizenship, country of destination, age and and sex – quarterly data (rounded) (migr_eirtn1)

    IV. Starting with first quarter of 2021 the quarterly statistics on returns is becoming mandatory for all the Member States. Third country nationals unacompanied minors subject of return procedure are also collected following the https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" target="_blank">Regulation 2020/851. The following tables are collected under this framework in 2021:

    • Third country nationals ordered to leave by citizenship, age and sex - quarterly data (rounded) (migr_eiord1)
    • Third-country unaccompanied minors ordered to leave, by citizenship, age and sex of the minor – quarterly data (rounded) (migr_eiord2)
    • Third-country nationals returned following an order to leave, by type of return, citizenship, country of destination, age and and sex – quarterly data (rounded) (migr_eirtn1)
    • Third-country unaccompanied minors returned following an order to leave, by type of return, citizenship, country of destination, age and sex of the minor – quarterly data (rounded) (migr_eirtn2)

    Theese quality statistics are expected to meet the minimum requirements as stated in 2021 EIL Technical guidelines. However, the data availability is affected by the derogations granted to several countries, especially for the statistics on returns of unaccompanied minors. See list of the derogation granted are in the Commission implementing Decision (EU) 2021/431 of 10 March 2021 granting https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32021D0431&from=EN" target="_blank">derogations to certain Member States from Regulation (EC) No 862/2007

    Annex 4 present the data quality assessment done in June 2021 for the EIL quarterly statistics provided under the new framework refering to the https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2020.198.01.0001.01.ENG" target="_blank">Regulation 2020/851.

  18. f

    Statistics for data collection and refinement.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Apr 23, 2015
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    Cao, Hongnan; Sen, Saurabh; Bingman, Craig A.; Mead, David; Franz, Laura P.; Phillips Jr. , George N.; Steinmetz, Eric J.; Auldridge, Michele E.; Yennamalli, Ragothaman M. (2015). Statistics for data collection and refinement. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001930327
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    Dataset updated
    Apr 23, 2015
    Authors
    Cao, Hongnan; Sen, Saurabh; Bingman, Craig A.; Mead, David; Franz, Laura P.; Phillips Jr. , George N.; Steinmetz, Eric J.; Auldridge, Michele E.; Yennamalli, Ragothaman M.
    Description

    Values in parenthesis are for the highest resolution shell.aRsym = Σhkl Σi | Ii(hkl)- 〈I(hkl)〉| / Σhkl ΣiIi(hkl), where Ii(hkl) is the intensity of an individual measurement of the symmetry related reflection and 〈I(hkl)〉 is the mean intensity of the symmetry related reflections.bI/σ is defined as the ratio of averaged value of the intensity to its standard deviation.cRcryst = Σhkl ||Fobs|—|Fcalc||/ Σhkl |Fobs|, where Fobs and Fcalc are the observed and calculated structure-factor amplitudes.dRfree was calculated as Rcryst using randomly selected 5% of the unique reflections that were omitted from the structure refinement.eRamachandran statistics indicate the percentage of residues in the most favored, additionally allowed and outlier regions of the Ramachandran diagram as defined by MOLPROBITY.Statistics for data collection and refinement.

  19. d

    Data from: Streamflow statistics calculated from daily mean streamflow data...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 27, 2025
    + more versions
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    U.S. Geological Survey (2025). Streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages [Dataset]. https://catalog.data.gov/dataset/streamflow-statistics-calculated-from-daily-mean-streamflow-data-collected-during-water-ye
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    Dataset updated
    Nov 27, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    In 2016, non-interpretive streamflow statistics were compiled for streamgages located throughout the Nation and stored in the StreamStatsDB database for use with StreamStats and other applications. Two previously published USGS computer programs that were designed to help calculate streamflow statistics were updated to better support StreamStats as part of this effort. These programs are named “GNWISQ” (Get National Water Information System Streamflow (Q) files) and “QSTATS” (Streamflow (Q) Statistics). Statistics for 20,438 streamgages that had 1 or more complete years of record during water years 1901 through 2015 were calculated from daily mean streamflow data; 19,415 of these streamgages were within the conterminous United States. About 89 percent of the 20,438 streamgages had 3 or more years of record, and 65 percent had 10 or more years of record. Drainage areas of the 20,438 streamgages ranged from 0.01 to 1,144,500 square miles. The magnitude of annual average streamflow yields (streamflow per square mile) for these streamgages varied by almost six orders of magnitude, from 0.000029 to 34 cubic feet per second per square mile. About 64 percent of these streamgages did not have any zero-flow days during their available period of record. The 18,122 streamgages with 3 or more years of record were included in the StreamStatsDB compilation so they would be available via the StreamStats interface for user-selected streamgages.

  20. f

    Data collection and refinement statistics.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jul 26, 2013
    + more versions
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    Wu, Jia-Wei; Cao, Lu-Sha; Chen, Yuling; Deng, Haiteng; Wang, Zhi-Xin; Wang, Jue (2013). Data collection and refinement statistics. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001670895
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    Dataset updated
    Jul 26, 2013
    Authors
    Wu, Jia-Wei; Cao, Lu-Sha; Chen, Yuling; Deng, Haiteng; Wang, Zhi-Xin; Wang, Jue
    Description

    aAll data sets were collected from a single crystal.bValues in the parentheses are for the highest-resolution shell.

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Statista, Social media data collections concerns U.S. 2023 [Dataset]. https://www.statista.com/statistics/1377281/us-concerns-about-social-media-data-collected/
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Social media data collections concerns U.S. 2023

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Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 20, 2023 - Mar 22, 2023
Area covered
United States
Description

According to a 2023 survey of adults in the United States, most respondents expressed concern regarding social media companies data collection practices. About ** percent of respondents were very concerned about how social media platforms collect their personal data, while ** percent were somewhat concerned. In contrast, only ** percent of respondents were not very concerned, and a mere **** percent of respondents were not at all concerned about their personal data being collected by these companies.

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