100+ datasets found
  1. Creative Industries Statistics July 2018

    • gov.uk
    Updated Apr 10, 2019
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    HM Revenue & Customs (2019). Creative Industries Statistics July 2018 [Dataset]. https://www.gov.uk/government/statistics/creative-industries-statistics-july-2018
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    Dataset updated
    Apr 10, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    This annual release provides information on the creative industries’ tax reliefs for film, high-end television (HETV), animation, video games, children’s television, theatre and orchestra. Orchestra tax relief is included for the first time.

    Statistics are provided on the number of productions claiming tax relief, the amounts of expenditure, number of tax relief claims and amounts claimed. Also for the first time, information on number and amount of claims banded by size of claim will be included. This publication reports on years up to 31st March 2018.

    This release has been updated in April 2019, with corrections to the Video Games Tax Relief statistics in Tables 4.3, 4.4 and 4.5. For more information see section 3.4 in the Commentary document.

  2. Creative economy GVA growth rate Philippines 2018/19-2023/24

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). Creative economy GVA growth rate Philippines 2018/19-2023/24 [Dataset]. https://www.statista.com/statistics/1459908/philippines-creative-economy-gva-growth-rate/
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    Between 2023 and 2024, the gross value added (GVA) of the creative economy in the Philippines reflected an 8.7 percent growth. The industry's growth was driven by the symbols and images and other related activities segment.

  3. DCMS Sectors Economic Estimates 2017: Employment

    • gov.uk
    Updated Nov 22, 2024
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    Department for Digital, Culture, Media & Sport (2024). DCMS Sectors Economic Estimates 2017: Employment [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-2017-employment
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    About

    These Economic Estimates are Official Statistics used to provide an estimate of the contribution of DCMS Sectors to the UK economy, measured by employment (number of jobs).

    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

    18 July 2018

    Feedback and consultation

    DCMS aims to continuously improve the quality of estimates and better meet user needs. Feedback on this release should be sent to DCMS via email at evidence@culture.gov.uk by 19 October 2018.

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Statistics, 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 Rishi Vaidya (020 7211 2320). 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.

  4. Share of creative economy to GDP Philippines 2018-2024

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). Share of creative economy to GDP Philippines 2018-2024 [Dataset]. https://www.statista.com/statistics/1459919/philippines-creative-economy-to-gdp-share/
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    The creative economy in the Philippines contributed 7.3 percent to the country's gross domestic product (GDP), consistent with the previous year. The GDP contribution of the creative economy remained at around seven percent since 2018.

  5. Taiwan GTSM: Index: Stock: Cultural and Creative Industries

    • ceicdata.com
    Updated Aug 9, 2021
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    CEICdata.com (2021). Taiwan GTSM: Index: Stock: Cultural and Creative Industries [Dataset]. https://www.ceicdata.com/en/taiwan/gretai-overthecounter-securities-market-gtsm-indices/gtsm-index-stock-cultural-and-creative-industries
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    Dataset updated
    Aug 9, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Taiwan
    Variables measured
    Securities Exchange Index
    Description

    Taiwan GTIndex: Stock: Cultural and Creative Industries data was reported at 84.430 03Jan2014=100 in Nov 2018. This records an increase from the previous number of 75.450 03Jan2014=100 for Oct 2018. Taiwan GTIndex: Stock: Cultural and Creative Industries data is updated monthly, averaging 99.470 03Jan2014=100 from Jan 2014 (Median) to Nov 2018, with 59 observations. The data reached an all-time high of 136.150 03Jan2014=100 in Jun 2014 and a record low of 75.450 03Jan2014=100 in Oct 2018. Taiwan GTIndex: Stock: Cultural and Creative Industries data remains active status in CEIC and is reported by GreTai Securities Market. The data is categorized under Global Database’s Taiwan – Table TW.Z011: GreTai (Over-the-Counter) Securities Market (GTSM): Indices.

  6. United Kingdom SIT: Creative, Arts & Entertainment Services

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United Kingdom SIT: Creative, Arts & Entertainment Services [Dataset]. https://www.ceicdata.com/en/united-kingdom/industrial-turnover-value-services/sit-creative-arts--entertainment-services
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Industrial Sales / Turnover
    Description

    United Kingdom SIT: Creative, Arts & Entertainment Services data was reported at 934.200 GBP mn in Sep 2018. This records an increase from the previous number of 787.000 GBP mn for Aug 2018. United Kingdom SIT: Creative, Arts & Entertainment Services data is updated monthly, averaging 529.000 GBP mn from Jan 1998 (Median) to Sep 2018, with 249 observations. The data reached an all-time high of 968.900 GBP mn in Jul 2018 and a record low of 279.400 GBP mn in Apr 1998. United Kingdom SIT: Creative, Arts & Entertainment Services data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.C002: Industrial Turnover Value: Services.

  7. DCMS Sectors Economic Estimates 2018: Regional GVA

    • s3.amazonaws.com
    Updated May 20, 2020
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    Department for Digital, Culture, Media & Sport (2020). DCMS Sectors Economic Estimates 2018: Regional GVA [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/161/1619183.html
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    Dataset updated
    May 20, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Headline Findings

    The UK regions with the biggest increase in DCMS Sector (excluding Tourism and Civil Society) GVA were London and the East Midlands which grew by 53.3% and 31.4%, respectively, in real terms between 2010 and 2018.

    • East Midlands, Scotland, West Midlands and Yorkshire and the Humber saw the highest growth in DCMS sectors GVA since 2017 (7.0%, 6.8%, 6.0%, and 6.0% respectively).

    • Activity in DCMS sectors was more concentrated in London than the general economy; 39.6% of DCMS sector GVA was accounted for in London compared to 23.6% for the total UK economy.

    • GVA from the Creative Industries, Cultural, Digital and Telecoms sectors was largely concentrated in London and the South East. By contrast, GVA from the Sport and Gambling sectors was distributed more evenly across the UK, although these sectors are much smaller in value.

    About

    These Economic Estimates are Official Statistics used to provide an estimate of Gross Value Added (GVA) in the DCMS Sectors.

    Content

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

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

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

    Released

    20 May 2020

    Feedback and consultation

    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@culture.gov.uk.

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Statistics, 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 Rachel Moyce. 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.

  8. GVA of the creative economy Philippines 2018-2024

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). GVA of the creative economy Philippines 2018-2024 [Dataset]. https://www.statista.com/statistics/1459907/philippines-gva-of-the-creative-economy/
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    The gross value added (GVA) of the creative economy in the Philippines amounted to 1.94 trillion Philippine pesos in 2024. The GVA of the creative economy in the country gradually increased since 2020.

  9. Taiwan GTSM: No of Registered Companies: Cultural and Creative Industries

    • ceicdata.com
    Updated Nov 15, 2018
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    CEICdata.com (2018). Taiwan GTSM: No of Registered Companies: Cultural and Creative Industries [Dataset]. https://www.ceicdata.com/en/taiwan/gretai-overthecounter-securities-market-gtsm-number-of-registered-companies/gtsm-no-of-registered-companies-cultural-and-creative-industries
    Explore at:
    Dataset updated
    Nov 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Taiwan
    Variables measured
    Number of Companies
    Description

    Taiwan GTNumber of Registered Companies: Cultural and Creative Industries data was reported at 26.000 Unit in Oct 2018. This stayed constant from the previous number of 26.000 Unit for Sep 2018. Taiwan GTNumber of Registered Companies: Cultural and Creative Industries data is updated monthly, averaging 22.500 Unit from Jan 2014 (Median) to Oct 2018, with 58 observations. The data reached an all-time high of 26.000 Unit in Oct 2018 and a record low of 17.000 Unit in Jun 2014. Taiwan GTNumber of Registered Companies: Cultural and Creative Industries data remains active status in CEIC and is reported by GreTai Securities Market. The data is categorized under Global Database’s Taiwan – Table TW.Z018: GreTai (Over-the-Counter) Securities Market (GTSM): Number of Registered Companies.

  10. Hong Kong SAR, China Employment: Female: SP: AE: Creative & Performing Arts...

    • ceicdata.com
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    CEICdata.com, Hong Kong SAR, China Employment: Female: SP: AE: Creative & Performing Arts Activities [Dataset]. https://www.ceicdata.com/en/hong-kong/employment-quarterly-survey-of-employment-and-vacancies-by-industry-hsic-20/employment-female-sp-ae-creative--performing-arts-activities
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Hong Kong
    Variables measured
    Employment
    Description

    Hong Kong Employment: Female: SP: AE: Creative & Performing Arts Activities data was reported at 2,226.000 Person in Jun 2018. This records an increase from the previous number of 2,200.000 Person for Mar 2018. Hong Kong Employment: Female: SP: AE: Creative & Performing Arts Activities data is updated quarterly, averaging 1,069.000 Person from Mar 2000 (Median) to Jun 2018, with 74 observations. The data reached an all-time high of 2,396.000 Person in Sep 2016 and a record low of 708.000 Person in Sep 2005. Hong Kong Employment: Female: SP: AE: Creative & Performing Arts Activities data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.G033: Employment: Quarterly Survey of Employment and Vacancies: by Industry: HSIC 2.0.

  11. a

    Number of Employees in the Creative Economy - City

    • hub.arcgis.com
    • data.baltimorecity.gov
    • +1more
    Updated Mar 26, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Number of Employees in the Creative Economy - City [Dataset]. https://hub.arcgis.com/maps/bniajfi::number-of-employees-in-the-creative-economy-city
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    Dataset updated
    Mar 26, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The number of persons employed in the creative economy (both for-profit and non-profit). This number does not count those persons who identify themselves as being artists and does not count sole proprietorships or persons who work part-time in the arts. The same industries used to calculate the rate businesses in the creative economy are used to calculate total employment in the creative economy. Source: InfoUSA Years Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

  12. Employment figures in the creative industry Philippines 2018-2024

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). Employment figures in the creative industry Philippines 2018-2024 [Dataset]. https://www.statista.com/statistics/1459924/philippines-total-number-of-workers-in-creative-industries/
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    The total number of people working in creative industries in the Philippines reached 7.51 million in 2024. The number of people working in the creative economy gradually increased since 2020.

  13. Ad hoc statistical analysis: 2022/23 Quarter 1

    • gov.uk
    Updated Jun 23, 2022
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    Department for Digital, Culture, Media & Sport (2022). Ad hoc statistical analysis: 2022/23 Quarter 1 [Dataset]. https://www.gov.uk/government/statistical-data-sets/ad-hoc-statistical-analysis-202223-quarter-1
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    Dataset updated
    Jun 23, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    This page lists ad-hoc statistics released during the period April - June 2022. These are additional analyses not included in any of the Department for Digital, Culture, Media and Sport’s standard publications.

    If you would like any further information please contact evidence@dcms.gov.uk

    May 2022 - DCMS Economic Estimates: Employment, Welsh Creative Wales Creative Industries, 2019 and 2020.

    This is an ad-hoc release that provides an estimate of Welsh employment (number of filled jobs) in the Creative Wales Creative Industries for the 2019 and 2020 calendar years. The estimates provide the overall level of employment, and breakdowns by the following characteristics:

    • Employment type (employed or self-employed)
    • Nationality
    • Sex
    • Ethnicity
    • Age group
    • Highest level of education
    • Work pattern (full time or part time)
    • Disability status

    These employment statistics were produced in response to a Creative Wales request for Welsh employment estimates according to their definition of the Creative Industries. Due to this specification, users should not attempt to make comparisons to previously published DCMS estimates.

    The Creative Wales Creative Industries do not align with the standard DCMS definition of the Creative Industries.

    https://assets.publishing.service.gov.uk/media/62726f248fa8f57a3eca5d73/Welsh_Creative_Wales_Employment_January_to_December_2019_and_2020.ods">DCMS Economic Estimates: Employment, Welsh Creative Wales Creative Industries, 2019 and 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">58.4 KB</span></p>
    
    
    
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    This file may not be suitable for users of assistive technology.

    Request an accessible format.

      If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:enquiries@dcms.gov.uk" target="_blank" class="govuk-link">enquiries@dcms.gov.uk</a>. Please tell us what format you need. It will help us if you say what assistive technology you use.
    

    June 2022 - DCMS Civil Society sector: Employment (Number of filled jobs) estimates by Local Authority, 2018 to 2021 (pooled data)

    These ad-hoc tables provide estimates of employment (number of filled jobs) in the Civil Society sector, broken down by local authority. It uses data from the Office for National Statistics (ONS) Annual Population Survey (APS), pooled a

  14. b

    Number of Employees in the Creative Economy

    • data.baltimorecity.gov
    • hub.arcgis.com
    Updated Mar 26, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Number of Employees in the Creative Economy [Dataset]. https://data.baltimorecity.gov/maps/c03af759c7d4406c8bca028dfb7acdc5
    Explore at:
    Dataset updated
    Mar 26, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The number of persons employed in the creative economy (both for-profit and non-profit). This number does not count those persons who identify themselves as being artists and does not count sole proprietorships or persons who work part-time in the arts. The same industries used to calculate the rate businesses in the creative economy are used to calculate total employment in the creative economy. Source: InfoUSA Years Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

  15. a

    Rate of Businesses in the Creative Economy per 1,000 Residents - Community...

    • vital-signs-bniajfi.hub.arcgis.com
    • bmore-open-data-baltimore.hub.arcgis.com
    Updated Mar 26, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Rate of Businesses in the Creative Economy per 1,000 Residents - Community Statistical Area [Dataset]. https://vital-signs-bniajfi.hub.arcgis.com/datasets/rate-of-businesses-in-the-creative-economy-per-1000-residents-community-statistical-area
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    Dataset updated
    Mar 26, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The rate of businesses (both for-profit and non-profit) that are in the creative economy per 1,000 residents. The creative economy is defined as industries that use and support artistic and cultural skillsets to attract and generate capital, knowledge, and information. Arts-based businesses are included in the creative economy. In addition to the industries included in the rate of arts-based businesses indictor, the following industries are identified by their primary NAICS code: Textiles (313220); Commercial Printing (323111, 323113); Book Printers and Publishers (323117, 511130); Print Media (451212, 511110, 511120, 511199, 519110); Motion Picture & Video Production (512110); Music Publishers (512230); Sound Recording (512240); Radio (515112); Architecture (541310, 541320); Interior Design (541410); Graphic Design (541430); Advertising (541810, 541890); and Photography (541921, 541922). In addition to the industries included in the rate of arts-based businesses indictor, the following industries are identified by their primary SIC code: Print Media (271101, 271102, 271198, 272101, 272102, 272104, 273101, 273198, 596302, 599401); Publishers (273298, 274104, 274105, 874205); Printers (275202, 275202, 275902, 275998); Bookbinders (278902); Radio (483201); Television (483301, 484101, 792205, 824911); Textiles (513122, 594904); Advertising (519917, 731101, 731115, 731305, 731999); Fashion Designers (569901, 594408); Photography (722101, 722113, 722120, 733501, 738401); Graphic Design (733603); Commercial Artists (733604); Website Design (737311); General Media (738301); Interior Design (738902); Restoration (764112); Landscape Design (781030); Motion Picture and Video Support (781205, 781211, 781901); Architecture (871202, 871207, 871209, 874892); and Business Writers (899902). Source: InfoUSA Years Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

  16. c

    Social network data of creative industries and cultural sector in George...

    • datacatalogue.cessda.eu
    Updated Jun 13, 2025
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    Chan, J; Piterou, A; Lean, H; Khoo, S; Mohd Hashim, I (2025). Social network data of creative industries and cultural sector in George Town UNESCO world heritage site 2017-2018 [Dataset]. http://doi.org/10.5255/UKDA-SN-854148
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    Dataset updated
    Jun 13, 2025
    Dataset provided by
    Universiti Sains Malaysia
    University of Greenwich
    Authors
    Chan, J; Piterou, A; Lean, H; Khoo, S; Mohd Hashim, I
    Time period covered
    Jul 1, 2017 - Sep 28, 2018
    Area covered
    Malaysia
    Variables measured
    Organization
    Measurement technique
    The data was collected by face-to-face administration of the questionnaire between June to December 2017, with some following up after checking data. We interviewed 33 organisations from the bottom-up approach. Sampling is based on snowballing as we followed the network of the organisations (limited to creative and cultural sector's directly related organisation). The original set of organisations were identified using two approaches: top-down, where 20 out of 38 organisations were interviewed based on a list recommended by local expert; and bottom-up, where we sampled organisation, using random number, from an existing database collected by local partner ThinkCity (421), and Yellow Pages and Google Map (227). We cleaned the list by removing organisations which do not meet our criteria, such as out of the study area, dissolved, overlapping with the first list, or not within the scope of creative industries and cultural sector.
    Description

    This research draws on social network data of organisations in the creative industries and cultural sector in George Town UNESCO World Heritage Site. We collected five types of network: 1) Collaborative Network 2) Advice Network 3) Funding Network (giving and receiving) 4) Training 5) Talents. The data set also contains the background information of the organisation (anonymised) and their corresponding quantitative answers on Entrepreneurial Orientation (innovativeness, risk-taking behaviour, pro-activeness of the organisation, based on 5-point Likert scale). This data enables the identification of the type of actors and their networks, and the respective organisation's entrepreneurial orientation.

    This research addresses the phenomenon of creative and cultural cluster in a site with a rich cultural heritage. The project will explore questions regarding the role of different actors in developing businesses in cultural districts while preserving and disseminating their cultural heritage. Hence, the research is positioned in a wider debate regarding the links between cultural preservation, urban regeneration and tourism. The selected site is George Town, a post-British colonial town in Malaysian. The town has experienced gentrification since 1997, exacerbated with the growth of tourism and influx of external capital investment in properties, after it has been inscribed as a UNESCO World Heritage Site in 2008. Gentrification induces displacement of long-term residents and causes erosion of local culture and heritage - a global phenomenon in many World Heritage Sites. Nonetheless, a cluster of creative industries and cultural sector has been developed with involvement of various local and external actors. The development of cultural district has become an important tool for many urban planners aiming to foster the development of urban centres and revitalise neighbourhoods-in-decline. Reviewing the existing models of innovation and entrepreneurship ecosystem, there is a gap in the scope of these models in capturing civil society actors and insufficiently explaining the phenomena of cultural clusters. Thereby, they are inadequate in informing urban planning policy makers, the innovation community, cultural organisations and small businesses. The main objectives of this project are: 1) To develop a relational model of innovation and entrepreneurship ecosystem for creative and cultural districts, 2) To provide social network insights for the development of creative economy and conservation of cultural heritage in George Town. 3) To produce a policy brief on strategies for developing creative and cultural districts in George Town. This research deployed Social Network Analysis to identify actors and their networks. Understanding these networks and roles will enable the conceptual development of a novel relational model of entrepreneurship and innovation ecosystem, specifically for cultural districts. This research will collect, via face-to-face administrated questionnaires, data on network relations of actors in the creative industries and cultural sector in George Town. We used UCINET to analyse and map this network and identify its strengths and weaknesses. We also conducted six in-depth case studies of core actors in the networks to gain rich qualitative insights on how they build innovative and entrepreneurial networks. The model is applicable more generally to other small/medium size towns and cities, particularly world heritage sites, where there is a potential to build a creative and cultural district empowering local residents with development opportunities in terms of culture, social and economy.

  17. f

    Year-by-year comparison of the evaluation and analysis of the level of...

    • plos.figshare.com
    xlsx
    Updated Nov 22, 2024
    + more versions
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    Xin Wang; Shan Sun; Yanlong Guo; Tieqiao Xiao (2024). Year-by-year comparison of the evaluation and analysis of the level of high-quality development of digital creative industries in the YRD region—2018 raw data. [Dataset]. http://doi.org/10.1371/journal.pone.0313647.s004
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    xlsxAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Xin Wang; Shan Sun; Yanlong Guo; Tieqiao Xiao
    License

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

    Description

    Year-by-year comparison of the evaluation and analysis of the level of high-quality development of digital creative industries in the YRD region—2018 raw data.

  18. Taiwan GTSM: Dividend Yield: Stock: Cultural and Creative Industries

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan GTSM: Dividend Yield: Stock: Cultural and Creative Industries [Dataset]. https://www.ceicdata.com/en/taiwan/gretai-overthecounter-securities-market-gtsm-dividend-yield/gtsm-dividend-yield-stock-cultural-and-creative-industries
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Taiwan
    Variables measured
    Dividend Yield
    Description

    Taiwan GTDividend Yield: Stock: Cultural and Creative Industries data was reported at 3.370 % in Nov 2018. This records a decrease from the previous number of 3.770 % for Oct 2018. Taiwan GTDividend Yield: Stock: Cultural and Creative Industries data is updated monthly, averaging 2.360 % from Jan 2014 (Median) to Nov 2018, with 59 observations. The data reached an all-time high of 3.770 % in Oct 2018 and a record low of 1.570 % in Dec 2014. Taiwan GTDividend Yield: Stock: Cultural and Creative Industries data remains active status in CEIC and is reported by GreTai Securities Market. The data is categorized under Global Database’s Taiwan – Table TW.Z015: GreTai (Over-the-Counter) Securities Market (GTSM): Dividend Yield.

  19. Taiwan GTSM: Turnover: Value: Stock: Cultural and Creative Industries

    • ceicdata.com
    Updated Aug 9, 2021
    + more versions
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    CEICdata.com (2021). Taiwan GTSM: Turnover: Value: Stock: Cultural and Creative Industries [Dataset]. https://www.ceicdata.com/en/taiwan/gretai-overthecounter-securities-market-gtsm-turnover/gtsm-turnover-value-stock-cultural-and-creative-industries
    Explore at:
    Dataset updated
    Aug 9, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Taiwan
    Variables measured
    Turnover
    Description

    Taiwan GTTurnover: Value: Stock: Cultural and Creative Industries data was reported at 25,581.529 NTD mn in Jun 2018. This records a decrease from the previous number of 50,659.896 NTD mn for May 2018. Taiwan GTTurnover: Value: Stock: Cultural and Creative Industries data is updated monthly, averaging 23,151.500 NTD mn from Jan 2014 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 61,246.000 NTD mn in Mar 2016 and a record low of 8,040.000 NTD mn in Feb 2015. Taiwan GTTurnover: Value: Stock: Cultural and Creative Industries data remains active status in CEIC and is reported by GreTai Securities Market. The data is categorized under Global Database’s Taiwan – Table TW.Z016: GreTai (Over-the-Counter) Securities Market (GTSM): Turnover.

  20. o

    Creative Industries 300A Report 2018

    • oshafile.com
    + more versions
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    Creative Industries 300A Report 2018 [Dataset]. https://oshafile.com/filed/2018/creative-industries-2350-c-ne-independence-ave-lees-summit-mo-64064
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    Variables measured
    Total Hours Worked, Workplace Fatalities, Occupational Illnesses, Other Recordable Cases, Total Recordable Cases, Days Away from Work Cases, Average Number of Employees, Total Recordable Incident Rate, Job Transfer or Restriction Cases
    Description

    Workplace safety and injury data for Creative Industries

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HM Revenue & Customs (2019). Creative Industries Statistics July 2018 [Dataset]. https://www.gov.uk/government/statistics/creative-industries-statistics-july-2018
Organization logo

Creative Industries Statistics July 2018

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Dataset updated
Apr 10, 2019
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
HM Revenue & Customs
Description

This annual release provides information on the creative industries’ tax reliefs for film, high-end television (HETV), animation, video games, children’s television, theatre and orchestra. Orchestra tax relief is included for the first time.

Statistics are provided on the number of productions claiming tax relief, the amounts of expenditure, number of tax relief claims and amounts claimed. Also for the first time, information on number and amount of claims banded by size of claim will be included. This publication reports on years up to 31st March 2018.

This release has been updated in April 2019, with corrections to the Video Games Tax Relief statistics in Tables 4.3, 4.4 and 4.5. For more information see section 3.4 in the Commentary document.

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