100+ datasets found
  1. e

    Business Demographics and Survival Rates, Borough

    • data.europa.eu
    • data.wu.ac.at
    csv, unknown
    Updated Feb 7, 2019
    + more versions
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    Office for National Statistics (2019). Business Demographics and Survival Rates, Borough [Dataset]. https://data.europa.eu/data/datasets/business-demographics-and-survival-rates-borough?locale=fr
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    csv, unknownAvailable download formats
    Dataset updated
    Feb 7, 2019
    Dataset authored and provided by
    Office for National Statistics
    Description

    Data on enterprise births, deaths, active enterprises and survival rates across boroughs.

    Data includes:

    1. the most recent annual figures for enterprise births and deaths
    2. a time series of the number of births and deaths of entrprises together with a percentage of births and deaths to active enterprises in a given year
    3. a time series of the number of active enterprises.
    4. survival rates of enterprises for up to 5 years after birth

    Notes and definitions:

    • The starting point for business demography is the concept of a population of active businesses in a reference year (t). These are defined as businesses that had either turnover or employment at any time during the reference period.
    • A birth is identified as a business that was present in year t, but did not exist in year t-1 or t-2. Births are identified by making comparison of annual active population files and identifying those present in the latest file, but not the two previous ones.
    • A death is defined as a business that was on the active file in year t, but was no longer present in the active file in t+1 and t+2. In order to provide an early estimate of deaths, an adjustment has been made to the 2007 and 2008 deaths to allow for reactivations. These figures are provisional and subject to revision.

    Data on size of firms (micro-business, SME, large) for business and employees in London by industry can be found on the ONS website.

    More Business Demographics data on the ONS website

  2. DCMS and Digital Economic Estimates: Business Demographics, 2023

    • gov.uk
    Updated Nov 15, 2024
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    Department for Culture, Media and Sport (2024). DCMS and Digital Economic Estimates: Business Demographics, 2023 [Dataset]. https://www.gov.uk/government/statistics/dcms-and-digital-economic-estimates-business-demographics-2023
    Explore at:
    Dataset updated
    Nov 15, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Culture, Media and Sport
    Description

    Revision note:

    15 November 2024: We have made a small number of revisions to the DCMS Economic Estimates Business Demographics 2023 report and data tables, following the identification of an error. This affects figures for Tourism Industries in 2023 in Tables 2 to 6; 2023 Audio Visual figures in Tables 2, 4, 5 and 6 and the 2022 DCMS total in Table 2.

    About

    These economic estimates are National Statistics providing an estimate of the contribution of DCMS Sectors to the UK economy, measured by the number of businesses.

    Headline findings

    DCMS

    In March 2023 there were 584,920 businesses in the included DCMS sectors, a decrease of 3,245 (0.6%) from March 2022. This is compared to a decrease of 1.5% in UK registered businesses overall.

    In March 2023 the vast majority (87.3%) of businesses in included DCMS sectors fell into the micro (0 to 9) employment band, a slightly lower proportion than for UK registered businesses in general (89.1%).

    In March 2023, 79.5% of included DCMS sector businesses had a turnover of less than £250,000, a higher proportion than for UK businesses in general (68.1%).

    Digital sector

    There were 200,600 businesses in the digital sector, a decrease of 9,090 (4.3%) from March 2022. This is compared to a decrease of 1.5% in UK registered businesses overall.

    The vast majority (91.9%) of businesses in the digital sector fell into the micro (0 to 9) employment band, a slightly higher proportion than for UK registered businesses in general (89.1%).

    In March 2023, 78.3% of digital sector businesses had a turnover of less than £250,000, a higher proportion than for UK businesses in general (68.1%).

    Content

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • creative industries
    • cultural sector
    • gambling
    • sport
    • tourism (defined in this release as the tourism industries)

    Users should note that there is overlap between DCMS sector definitions. Estimates are not available for the civil society sector, because they are not identifiable in the data source used for this release.

    These statistics also cover the contributions of the digital sector and telecoms to the UK economy. Users should note telecoms sits wholly within the digital sector.

    The release also includes estimates for the audio visual sector, which is not a DCMS sector or digital sector but is “adjacent” to them and includes some industries also common to DCMS and digital sectors.

    A definition for each sector is available in the published data tables.

    Recent changes to this release

    We have made a number of changes to DCMS and digital sector economic estimates: business demographics in recent years:

    • previous reports have included data on charities registered with the Charity Commission of England and Wales, Community Interest Companies (CICs) and the now-discontinued Public Service Mutuals which were defined as civil society organisations
    • previous releases have included estimates of the turnover produced by businesses in each employment band and the number of businesses by foreign-owned status, both of which are not available in this release due to the change in data source from the Annual Business Survey (ABS) to the Inter-Departmental Business Register (IDBR)

    Additional information about the change in data source from the ABS to the IDBR in 2022 can be found in the source data change summary note.

    We welcome any views on these changes at evidence@dcms.gov.uk.

    Released

    These statistics were first published on 16 November 2023.

    The UK Statistics Authority

    DCMS economic estimates are https://osr.statisticsauthority.gov.uk/accredited-official-statistics/" class="govuk-link">accredited official statistics and published in accordance with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics, produced by the UK Statistics Authority (UKSA). Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. These official statistics were independently reviewed by the Office for

  3. w

    Business Demographics and Survival Rates - Barnet and London

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    html, xls
    Updated Aug 24, 2018
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    London Borough of Barnet (2018). Business Demographics and Survival Rates - Barnet and London [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/OTA2M2M3NDctN2M0My00MDA4LTgwMWMtYTNjYTI5Y2QxNDZm
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    xls, htmlAvailable download formats
    Dataset updated
    Aug 24, 2018
    Dataset provided by
    London Borough of Barnet
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    London
    Description

    Data on enterprise births, deaths, active enterprises and survival rates in Barnet, as well as comparative data across Greater London boroughs.

    This data is adapted from data from the Office for National Statistics and published by the GLA licensed under the Open Government Licence.

    Comparative data and other information can also be found on the London Datastore.

    Data includes:
    1) the most recent annual figures for enterprise births and deaths. Births and deaths are identified by comparing active populations of enterprises for different years
    2) time series of the number of births and deaths of entrprises together with a percentage of births and deaths to active enterprises in a given year
    3) a time series of the number of active enterprises. Active enterprises are businesses that had either turnover or employment at any time during the reference period.
    4) survival rates of enterprises for up to 5 years after birth

    Data on size of firms (micro-business, SME, large) for business and employees in London by industry can be found on the ONS website.

    More Business Demographics data on the ONS website

  4. DCMS Sectors Economic Estimates 2018: Business Demographics

    • gov.uk
    Updated May 29, 2020
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    Department for Digital, Culture, Media & Sport (2020). DCMS Sectors Economic Estimates 2018: Business Demographics [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-2018-business-demographics
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    Dataset updated
    May 29, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Headline Findings

    • In 2018 there were 637,000 UK businesses in DCMS sectors (excluding Civil Society), representing 25.7% of the UK non-financial business economy (UKNFBE).
    • The number of businesses in DCMS sectors grew 2.2% between 2017 and 2018 compared to 1.8% for the wider UKNFBE.
    • Nearly 9 in 10 (88.3%) businesses in DCMS sectors (excluding Civil Society) employed fewer than 10 people in 2018, similar to the proportion for the wider UKNFBE (89.3%).
    • The vast majority (99.0%) of businesses in DCMS sectors (excluding Civil Society) in 2017 were UK owned, similar to the wider UKNFBE (98.9%).

    About

    These Economic Estimates are National Statistics used to provide an estimate of the contribution of DCMS Sectors to the UK economy, measured by the number of businesses.

    Content

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • Civil Society
    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms
    • Tourism

    A definition for each sector is available in the associated methodology note along with details of methods and data limitations.

    Released

    29 May 2020

    Feedback and consultation

    DCMS aims to continuously improve the quality of estimates and better meet user needs. Feedback and responses should be sent to DCMS via email at evidence@culture.gov.uk.

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.

    The responsible statisticians for this release is Sam Atkin. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@culture.gov.uk.

    Pre-release access

    The document above contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.

    Quality assurance report

    This document summarises the quality assurance processes applied during production of the DCMS Sectors Economic Estimates 2018: Business Demographics release. It covers quality assurance carried out by both DCMS and our data providers (ONS).

  5. Percentage of population involved in business start-ups in Norway 2023, by...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Percentage of population involved in business start-ups in Norway 2023, by gender [Dataset]. https://www.statista.com/statistics/1367833/percentage-population-involved-business-start-ups-norway-gender/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Norway
    Description

    In Norway, **** percent of adult men and **** percent of adult women were involved in the early stage of a start-up in 2023, meaning that they were either setting up or owning and running a new business. This was significantly lower than in many other countries in Europe.

  6. o

    OPS workforce demographics

    • data.ontario.ca
    • open.canada.ca
    csv, xlsx
    Updated Jun 27, 2025
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    Treasury Board Secretariat (2025). OPS workforce demographics [Dataset]. https://data.ontario.ca/dataset/ops-workforce-demographics
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    csv(None), csv(7158), csv(7534), xlsx(16547), xlsx(17084)Available download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Treasury Board Secretariat
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Time period covered
    Jun 27, 2025
    Area covered
    Ontario
    Description

    The dataset highlights key OPS workforce demographics extracted from the OPS payroll reporting system (WIN), including:

    • OPS size
    • Age and tenure
    • Annual sick leave credit usage
    • OPS salaries
    • OPS compensation data by gender

    A data dictionary is included to define all workforce demographics, metrics and limitations.

    This data has been released due to the demand expressed through a public vote to determine which datasets the Government of Ontario should publish. This was the fourth most voted on dataset out of a pool of approximately 1000 entries.

    The Data in this report is as of March 31, 2025, unless otherwise indicated.

    *[WIN]: Workforce Information Network *[OPS]: Ontario Public Service

  7. DCMS Sectors Economic Estimates 2019: Business Demographics

    • s3.amazonaws.com
    • gov.uk
    Updated May 6, 2022
    + more versions
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    Department for Digital, Culture, Media & Sport (2022). DCMS Sectors Economic Estimates 2019: Business Demographics [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/180/1808248.html
    Explore at:
    Dataset updated
    May 6, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    About

    These Economic Estimates are National Statistics used to provide an estimate of the contribution of DCMS Sectors to the UK economy, measured by the number of businesses.

    Content

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms
    • Tourism

    Users should note that there is overlap between DCMS sector definitions and that the Telecoms sector sits wholly within the Digital sector.

    The release also includes estimates for the Audio Visual sector and Computer Games sector.

    A definition for each sector is available in the associated methodology note along with details of methods and data limitations.

    Released

    These statistics were first published on 14 October 2021

    Feedback

    DCMS aims to continuously improve the quality of estimates and better meet user needs. DCMS welcomes feedback on this release. Feedback should be sent to DCMS via email at evidence@dcms.gov.uk.

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.

    Pre-release access

    The accompanying pre-release access document lists ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.

    Contact

    Responsible statistician: Wilmah Deda.

    For any queries or feedback, please contact evidence@dcms.gov.uk.

  8. BRA11 - Business Demography NACE Rev 2

    • datasalsa.com
    csv, json-stat, px +1
    Updated Apr 10, 2024
    + more versions
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    Central Statistics Office (2024). BRA11 - Business Demography NACE Rev 2 [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=bra11-business-demography-nace-rev-2
    Explore at:
    xlsx, csv, json-stat, pxAvailable download formats
    Dataset updated
    Apr 10, 2024
    Dataset provided by
    Central Statistics Office Irelandhttps://www.cso.ie/en/
    Authors
    Central Statistics Office
    License

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

    Time period covered
    Aug 7, 2025
    Description

    BRA11 - Business Demography NACE Rev 2. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Business Demography NACE Rev 2...

  9. BRA16 - Business Demography NACE Rev 2

    • datasalsa.com
    csv, json-stat, px +1
    Updated Jan 26, 2025
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    Central Statistics Office (2025). BRA16 - Business Demography NACE Rev 2 [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=bra16-business-demography-nace-rev-2
    Explore at:
    csv, xlsx, px, json-statAvailable download formats
    Dataset updated
    Jan 26, 2025
    Dataset provided by
    Central Statistics Office Irelandhttps://www.cso.ie/en/
    Authors
    Central Statistics Office
    License

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

    Time period covered
    Aug 5, 2025
    Description

    BRA16 - Business Demography NACE Rev 2. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Business Demography NACE Rev 2...

  10. d

    U.S. Voting by Census Block Groups

    • search.dataone.org
    Updated Nov 9, 2023
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    Bryan, Michael (2023). U.S. Voting by Census Block Groups [Dataset]. http://doi.org/10.7910/DVN/NKNWBX
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    Dataset updated
    Nov 9, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Bryan, Michael
    Area covered
    United States
    Description

    PROBLEM AND OPPORTUNITY In the United States, voting is largely a private matter. A registered voter is given a randomized ballot form or machine to prevent linkage between their voting choices and their identity. This disconnect supports confidence in the election process, but it provides obstacles to an election's analysis. A common solution is to field exit polls, interviewing voters immediately after leaving their polling location. This method is rife with bias, however, and functionally limited in direct demographics data collected. For the 2020 general election, though, most states published their election results for each voting location. These publications were additionally supported by the geographical areas assigned to each location, the voting precincts. As a result, geographic processing can now be applied to project precinct election results onto Census block groups. While precinct have few demographic traits directly, their geographies have characteristics that make them projectable onto U.S. Census geographies. Both state voting precincts and U.S. Census block groups: are exclusive, and do not overlap are adjacent, fully covering their corresponding state and potentially county have roughly the same size in area, population and voter presence Analytically, a projection of local demographics does not allow conclusions about voters themselves. However, the dataset does allow statements related to the geographies that yield voting behavior. One could say, for example, that an area dominated by a particular voting pattern would have mean traits of age, race, income or household structure. The dataset that results from this programming provides voting results allocated by Census block groups. The block group identifier can be joined to Census Decennial and American Community Survey demographic estimates. DATA SOURCES The state election results and geographies have been compiled by Voting and Election Science team on Harvard's dataverse. State voting precincts lie within state and county boundaries. The Census Bureau, on the other hand, publishes its estimates across a variety of geographic definitions including a hierarchy of states, counties, census tracts and block groups. Their definitions can be found here. The geometric shapefiles for each block group are available here. The lowest level of this geography changes often and can obsolesce before the next census survey (Decennial or American Community Survey programs). The second to lowest census level, block groups, have the benefit of both granularity and stability however. The 2020 Decennial survey details US demographics into 217,740 block groups with between a few hundred and a few thousand people. Dataset Structure The dataset's columns include: Column Definition BLOCKGROUP_GEOID 12 digit primary key. Census GEOID of the block group row. This code concatenates: 2 digit state 3 digit county within state 6 digit Census Tract identifier 1 digit Census Block Group identifier within tract STATE State abbreviation, redundent with 2 digit state FIPS code above REP Votes for Republican party candidate for president DEM Votes for Democratic party candidate for president LIB Votes for Libertarian party candidate for president OTH Votes for presidential candidates other than Republican, Democratic or Libertarian AREA square kilometers of area associated with this block group GAP total area of the block group, net of area attributed to voting precincts PRECINCTS Number of voting precincts that intersect this block group ASSUMPTIONS, NOTES AND CONCERNS: Votes are attributed based upon the proportion of the precinct's area that intersects the corresponding block group. Alternative methods are left to the analyst's initiative. 50 states and the District of Columbia are in scope as those U.S. possessions voting in the general election for the U.S. Presidency. Three states did not report their results at the precinct level: South Dakota, Kentucky and West Virginia. A dummy block group is added for each of these states to maintain national totals. These states represent 2.1% of all votes cast. Counties are commonly coded using FIPS codes. However, each election result file may have the county field named differently. Also, three states do not share county definitions - Delaware, Massachusetts, Alaska and the District of Columbia. Block groups may be used to capture geographies that do not have population like bodies of water. As a result, block groups without intersection voting precincts are not uncommon. In the U.S., elections are administered at a state level with the Federal Elections Commission compiling state totals against the Electoral College weights. The states have liberty, though, to define and change their own voting precincts https://en.wikipedia.org/wiki/Electoral_precinct. The Census Bureau... Visit https://dataone.org/datasets/sha256%3A05707c1dc04a814129f751937a6ea56b08413546b18b351a85bc96da16a7f8b5 for complete metadata about this dataset.

  11. a

    BC Quarterly business demography births deaths change

    • dataportal-blackcountry.opendata.arcgis.com
    Updated Jul 18, 2024
    + more versions
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    christopher_styche (2024). BC Quarterly business demography births deaths change [Dataset]. https://dataportal-blackcountry.opendata.arcgis.com/datasets/d5a4d5e94e7e4168bb37ffd50900ea4a
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    Dataset updated
    Jul 18, 2024
    Dataset authored and provided by
    christopher_styche
    Area covered
    Description

    Indicator : Business DemographyTheme: BusinessSource : Office for National Statistics (ONS) - Business demography, quarterly experimental statisticsFrequency : QuarterlyDefinition : This dataset shows quarterly business births and deaths in the Black Country between 2020-2024. Business births means new business registrations, business death means the business has ceased to trade.Latest Period : April to June 2024Released : July 2024Next Update : TBALink:https://www.ons.gov.uk/businessindustryandtrade/business/activitysizeandlocation/datasets/businessdemographyquarterlyexperimentalstatisticsuk

  12. b

    Rate of births of new enterprises per 10,000 population aged 16+ - WMCA

    • cityobservatory.birmingham.gov.uk
    csv, excel, geojson +1
    Updated Aug 3, 2025
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    (2025). Rate of births of new enterprises per 10,000 population aged 16+ - WMCA [Dataset]. https://cityobservatory.birmingham.gov.uk/explore/dataset/rate-of-births-of-new-enterprises-per-10000-population-aged-16-wmca/
    Explore at:
    excel, csv, geojson, jsonAvailable download formats
    Dataset updated
    Aug 3, 2025
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This is the number of new business registrations per 10,000 resident population aged 16 and above, in the area. A birth is identified as a business that was present in year t, but did not exist in year t-1 or t-2. Births are identified by making comparison of annual active business population files and identifying those present in the latest file, but not the two previous ones. This data is produced from an extract taken from the Inter-Departmental Business Register (IDBR). The publication focuses on changes to the registered business population, that is, those businesses registered at HM Revenue and Customs (HMRC) for Value Added Tax (VAT) and/or Pay-As-You-Earn (PAYE) and at Companies House. The full definition of the measure is new businesses registering for VAT and PAYE and some smaller businesses reaching the VAT threshold or running a PAYE scheme for the first time. This was previously reported as NI 171. A single enterprise could have been "born", gone out of business, and then been "re-born" all within the same year. Each of these births would be counted individually. Proportions are based on figures rounded independently to the nearest 5 units. The population size is from ONS Mid-year population estimates and is subject to revision.

    Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

  13. s

    Jobs Creation Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Jobs Creation Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/small-business-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    About 1.5 million jobs are created in the US every year by small businesses alone. This means that 64% of all job creation comes from small businesses.

  14. c

    Visible Minorities

    • chooseneepawa.com
    • perthcounty.ca
    • +66more
    Updated Aug 15, 2022
    + more versions
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    (2022). Visible Minorities [Dataset]. https://chooseneepawa.com/community-profile/
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    Dataset updated
    Aug 15, 2022
    Description

    Number of people belonging to a visible minority group as defined by the Employment Equity Act and, if so, the visible minority group to which the person belongs. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.' The visible minority population consists mainly of the following groups: South Asian, Chinese, Black, Filipino, Latin American, Arab, Southeast Asian, West Asian, Korean and Japanese.

  15. Percentage of population involved in business start-ups in Sweden 2023, by...

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Percentage of population involved in business start-ups in Sweden 2023, by gender [Dataset]. https://www.statista.com/statistics/960458/percentage-of-population-involved-in-business-start-ups-in-sweden-by-gender/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Sweden
    Description

    In Sweden, ** percent of adult men and ***** percent of adult women were involved in the early stage of a start-up in 2023, meaning that they were either setting up or owning and running a new business. In Europe, Latvia had the highest share of men involved in a new business.

  16. D

    Business Retirement Plan Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Business Retirement Plan Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/business-retirement-plan-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Business Retirement Plan Market Outlook



    The global business retirement plan market size is projected to reach USD 2.5 trillion by 2032, growing at a compound annual growth rate (CAGR) of 6.5% from USD 1.43 trillion in 2023. Several growth factors drive the market, including increasing life expectancy, government incentives, and a growing emphasis on financial security among employees. Companies are progressively recognizing the need to offer robust retirement plans to attract and retain talent, which is further propelling market expansion.



    One of the primary growth factors for the business retirement plan market is the shift in demographic trends. With an increasing aging population globally, there is a heightened focus on ensuring financial stability post-retirement. This demographic shift is prompting businesses to offer comprehensive retirement plans as a means to secure their employees' future. Moreover, governments worldwide are increasingly offering tax benefits and other incentives to encourage businesses to adopt retirement plans, thereby driving market growth.



    Another key factor contributing to the growth of the business retirement plan market is the rising awareness among employees about the importance of retirement planning. With economic uncertainties and fluctuating markets, employees are now more conscious about securing their financial future. This increased awareness is compelling businesses to provide attractive retirement plans to maintain a competitive edge in talent acquisition and retention. Furthermore, advancements in technology are making it easier for businesses to manage and offer customized retirement plans, thus fueling market growth.



    The growing competition among businesses to attract and retain top talent is also a significant driver for the business retirement plan market. Companies are increasingly leveraging retirement plans as a strategic tool to enhance their employee value proposition. By offering competitive retirement benefits, businesses can differentiate themselves in the job market and reduce employee turnover. Additionally, the shift towards a more flexible and inclusive work environment is encouraging businesses to adopt varied types of retirement plans to cater to the diverse needs of their workforce.



    Pension Insurance plays a crucial role in the landscape of business retirement plans. As companies strive to offer comprehensive retirement benefits, pension insurance provides a safety net that ensures financial security for retirees. This type of insurance guarantees a stable income stream for employees after retirement, mitigating the risks associated with market fluctuations and economic uncertainties. By incorporating pension insurance into their retirement offerings, businesses can enhance their employee value proposition, attract top talent, and foster long-term loyalty. Moreover, pension insurance aligns with the growing emphasis on financial security and well-being, making it an integral component of modern retirement planning strategies.



    Plan Type Analysis



    The business retirement plan market is segmented into various plan types, including 401(k), SEP IRA, SIMPLE IRA, Defined Benefit Plan, Profit-Sharing Plan, and Others. Each of these plan types offers unique benefits and features, catering to different business requirements and employee preferences. The 401(k) plans are one of the most popular retirement plans due to their flexibility and potential for employer matching contributions. They offer employees the ability to contribute a portion of their salary on a pre-tax basis, which can grow tax-deferred until withdrawal.



    SEP IRA plans, or Simplified Employee Pension plans, are particularly favored by small businesses due to their simplicity and cost-effectiveness. These plans allow employers to make tax-deductible contributions to individual retirement accounts set up for each employee. The SIMPLE IRA, or Savings Incentive Match Plan for Employees, is another popular choice among small businesses, as it requires minimal paperwork and administrative overhead while offering immediate vesting of employer contributions.



    Defined Benefit Plans, on the other hand, promise a specified monthly benefit at retirement, which can be calculated through a formula based on salary and years of service. These plans are more complex and costly to administer but provide a guaranteed income stream for retirees, making them an attractive option for businesses looking

  17. a

    2020 and 2021 Population Estimates by Urbanized Area

    • performance-data-integration-space-fdot.hub.arcgis.com
    • gis-fdot.opendata.arcgis.com
    • +2more
    Updated Aug 9, 2023
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    Florida Department of Transportation (2023). 2020 and 2021 Population Estimates by Urbanized Area [Dataset]. https://performance-data-integration-space-fdot.hub.arcgis.com/datasets/2020-and-2021-population-estimates-by-urbanized-area
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    Dataset updated
    Aug 9, 2023
    Dataset authored and provided by
    Florida Department of Transportation
    Area covered
    Description

    Each year, the Forecasting and Trends Office (FTO) publishes population estimates and future year projections. The population estimates can be used for a variety of planning studies including statewide and regional transportation plan updates, subarea and corridor studies, and funding allocations for various planning agencies.The 2020 population estimates reported are based on the US Census Bureau 2020 Decennial Census. The 2021 population estimates are based on the population estimates developed by the Bureau of Economic and Business Research (BEBR) at the University of Florida. BEBR uses the decennial census count for April 1, 2020, as the starting point for state-level projections. More information is available from BEBR here.This dataset contains boundaries for all 2010 Census Urbanized Areas (UAs) in the State of Florida with 2020 census population and 2021 population estimates. All legal boundaries and names in this dataset are from the US Census Bureau’s TIGER/Line Files (2021).BEBR provides 2021 population estimates for counties in Florida. However, UA boundaries may not coincide with the jurisdictional boundaries of counties and UAs often spread into several counties. To estimate the population for an UA, first the ratio of the subject UA that is contained within a county (or sub-area) to the area of the entire county was determined. That ratio was multiplied by the estimated county population to obtain the population for that sub-area. The population for the entire UA is the sum of all sub-area populations estimated from the counties they are located within.For the 2010 Census, urban areas comprised a “densely settled core of census tracts and/or census blocks that meet minimum population density requirements, along with adjacent territory containing non-residential urban land uses as well as territory with low population density included to link outlying densely settled territory with the densely settled core.” In 2010, the US Census Bureau identified two types of urban areas—UAs and Urban Clusters (UCs). UAs have a population of 50,000 or more people. Note: Pensacola, FL--AL Urbanized Area is located in two states: Florida (Escambia County and Santa Rosa County) and Alabama (Baldwin County). 2021 population of Baldwin County, AL used for this estimation is from the US Census annual population estimates (2020-2021). All other Urbanized Areas are located entirely within the state of Florida. Please see the Data Dictionary for more information on data fields. Data Sources:US Census Bureau 2020 Decennial CensusUS Census Bureau’s TIGER/Line Files (2021)Bureau of Economic and Business Research (BEBR) – Florida Estimates of Population 2021 Data Coverage: StatewideData Time Period: 2020 – 2021 Date of Publication: July 2022 Point of Contact:Dana Reiding, ManagerForecasting and Trends OfficeFlorida Department of TransportationDana.Reiding@dot.state.fl.us605 Suwannee Street, Tallahassee, Florida 32399850-414-4719

  18. L

    Attitudes of Elites and Population towards the EU Development: Business...

    • lida.dataverse.lt
    application/x-gzip +2
    Updated Mar 10, 2025
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    Irmina Matonytė; Irmina Matonytė; Vladas Gaidys; Monika Kirslytė; Gintaras Šumskas; Gintaras Šumskas; Vladas Gaidys; Monika Kirslytė (2025). Attitudes of Elites and Population towards the EU Development: Business Leaders Survey, November 2017 - January 2018 [Dataset]. https://lida.dataverse.lt/dataset.xhtml?persistentId=hdl:21.12137/OUNXIQ&widget=dataverse@SurveyData_EEVPES
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    application/x-gzip(282923), pdf(332709), application/x-gzip(35026), application/x-spss-sav(53578)Available download formats
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Lithuanian Data Archive for SSH (LiDA)
    Authors
    Irmina Matonytė; Irmina Matonytė; Vladas Gaidys; Monika Kirslytė; Gintaras Šumskas; Gintaras Šumskas; Vladas Gaidys; Monika Kirslytė
    License

    https://lida.dataverse.lt/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=hdl:21.12137/OUNXIQhttps://lida.dataverse.lt/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=hdl:21.12137/OUNXIQ

    Time period covered
    Nov 28, 2017 - Jan 20, 2018
    Area covered
    European Union, Lithuania
    Dataset funded by
    Research Council of Lithuania (Researcher teams' projects)
    Description

    The purpose of the study: to explore the attitudes of business leaders towards the development of European identity and citizenship in the context of EU change and enlargement. Major investigated questions: respondents were asked how often they had come into contact with people from the EU institutions, organisations and companies, over the last 6 months. Given the list of various institutions and contributors (EU institutions; leaders of parliamentary majority political parties - 12 choices in total), the survey analysed their power in influencing changes in Lithuania. Next, people were asked to assess the influence of different individuals concerning important national issues (ordinary citizen; member of the European Parliament - 11 choices in total). Respondents had the opportunity to assess the importance of European unification and whether it is more important to grow a competitive European economy within global markets or to ensure better social protection for all its citizens. Respondents were asked to reveal the extent to which they associate themselves with their region, their country or Europe (EU). Given the block of questions, they were asked what it means to be Lithuanian (to be Christian; to follow Lithuanian cultural traditions - 8 choices in total). Given the list of threats, they were asked to rate the risk those threats pose to the EU (non-EU immigrants; EU expansion by including Turkey - 7 choices in total). Respondents had the opportunity to assess European unification and viewpoint on how much of the €100 that an EU citizen pays in taxes should be redistributed at the local, national and EU levels. Given the block of statements, respondents were asked to indicate what it means to be European (being a Christian; following European cultural traditions - 8 choices in total). Respondents were asked about their viewpoints towards Lithuania (8 statements in total) and their pride in Lithuania (for its democracy; its worldwide political influence - 10 choices in total). Then, trust in the EU and in the ability of Lithuanian institutions to take the right decisions was assessed. The aim was to find out whether respondents felt that decision-makers at the EU level did not take Lithuania's interests into account sufficiently, and whether the interests of some EU Member States were given too much weight. The survey went on to analyse whether different policy areas should be dealt with at the national level or at the EU level (fight against unemployment; immigration policy [from non-EU countries] - 8 choices in total). Given the next set of questions, respondents were asked what the EU will look like in 10 years time (unified EU tax system; mutual social security system - 4 choices in total). Next, they were asked how satisfied they are with the way democracy works in the EU and Lithuania. The survey went on to analyse whether the European Commission should be politically accountable to the European Parliament. Given another block of statements, respondents were asked whether or not different EU policies pose a risk to Lithuania (5 choices in total). Next, the survey went on to assess whether the redistribution of resources between EU Member States in order to protect the single currency is fair. Respondents were asked whether there should be a mutual EU army or whether each EU Member State should have its own national army, and which institution is best suited to take care of Europe's security. While having the future of the EU in mind, respondents were asked what the EU economy, the economic disparities between EU member states, the social disparities between EU citizens, the importance of the EU as a geopolitical power in the world and what the EU politically will be like in 10 years. The survey went on to analyse whether or not Lithuania has benefited from EU membership. The survey further explored respondents' viewpoints towards the relationship with voters and the most important function of elections in the political system. Given the list of welfare policy areas (7 in total), people were asked which ones should maintain a central role for the public sector and which ones should maintain a central role for the private sector. The survey was concluded by analysing the opinions on whether the state should actively defend the Lithuanian identity and the Lithuanian language, and whether the Soviet period was more beneficial than detrimental for Lithuania. Socio-demographic characteristics: gender, age, education: field, experience of studying in the West, field of activity.

  19. Median age of U.S. population by state 2022

    • statista.com
    Updated Aug 6, 2024
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    Statista (2024). Median age of U.S. population by state 2022 [Dataset]. https://www.statista.com/statistics/208048/median-age-of-population-in-the-usa-by-state/
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    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the state with the highest median age of its population was Maine at 45.1 years. Utah had the lowest median age at 32.1 years. View the distribution of the U.S. population by ethnicity here.

    Additional information on the aging population in the United States

    High birth rates during the so-called baby boom years that followed World War II followed by lower fertility and morality rates have left the United States with a serious challenge in the 21st Century. However, the issue of an aging population is certainly not an issue unique to the United States. The age distribution of the global population shows that other parts of the world face a similar issue.

    Within the United States, the uneven distribution of populations aged 65 years and over among states offers both major challenges and potential solutions. On the one hand, federal action over the issue may be contentious as other states are set to harbor the costs of elderly care in states such as California and Florida. That said, domestic migration from comparably younger states may help to fill gaps in the workforce left by retirees in others.

    Nonetheless, aging population issues are set to gain further prominence in the political and economic decisions made by policymakers regardless of the eventual distribution of America’s elderly. Analysis of the financial concerns of Americans by age shows many young people still decades from retirement hold strong concern over their eventual financial position.

  20. National Survey of Drug Use and Health (2015-2019)

    • kaggle.com
    Updated Jul 24, 2021
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    Brennan Gallamoza (2021). National Survey of Drug Use and Health (2015-2019) [Dataset]. https://www.kaggle.com/bgallamoza/national-survey-of-drug-use-and-health-20152019/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 24, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Brennan Gallamoza
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    National Survey on Drug Use and Health (NSDUH) for Years 2015-2019

    The National Survey on Drug Use and Health (NSDUH) is the "leading source of statistical information on the use of illicit drugs, alcohol, and tobacco and mental health issues in the United States" (SAMHSA). The abundance of Yes/No questions regarding the usage of illicit drugs make this dataset valuable for binary classification problems. During 2015, the survey received a partial redesign, creating "broken trends" from pre-2015 and post-2015. This is dataset contains every year of the NSDUH survey after the major restructuring in 2015.

    Column Descriptions

    All column names are identical to the Question Index found in the NSDUH documentation. The values in each column are codes that correspond to a particular answer in the survey. You can reference each question's meaning in the documentation, found here. Be sure to account for these codes before performing any analyses.

    Additionally, some questions are not asked across ALL years, and will instead have an NA value.

    Sources

    All of the data used to create this dataset was obtained from the Substance Abuse & Mental Health Data Archive. You can access the data for separate years here.

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Office for National Statistics (2019). Business Demographics and Survival Rates, Borough [Dataset]. https://data.europa.eu/data/datasets/business-demographics-and-survival-rates-borough?locale=fr

Business Demographics and Survival Rates, Borough

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2 scholarly articles cite this dataset (View in Google Scholar)
csv, unknownAvailable download formats
Dataset updated
Feb 7, 2019
Dataset authored and provided by
Office for National Statistics
Description

Data on enterprise births, deaths, active enterprises and survival rates across boroughs.

Data includes:

  1. the most recent annual figures for enterprise births and deaths
  2. a time series of the number of births and deaths of entrprises together with a percentage of births and deaths to active enterprises in a given year
  3. a time series of the number of active enterprises.
  4. survival rates of enterprises for up to 5 years after birth

Notes and definitions:

  • The starting point for business demography is the concept of a population of active businesses in a reference year (t). These are defined as businesses that had either turnover or employment at any time during the reference period.
  • A birth is identified as a business that was present in year t, but did not exist in year t-1 or t-2. Births are identified by making comparison of annual active population files and identifying those present in the latest file, but not the two previous ones.
  • A death is defined as a business that was on the active file in year t, but was no longer present in the active file in t+1 and t+2. In order to provide an early estimate of deaths, an adjustment has been made to the 2007 and 2008 deaths to allow for reactivations. These figures are provisional and subject to revision.

Data on size of firms (micro-business, SME, large) for business and employees in London by industry can be found on the ONS website.

More Business Demographics data on the ONS website

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