21 datasets found
  1. Threads: global daily time spent 2023

    • statista.com
    Updated Jul 15, 2023
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    Statista (2023). Threads: global daily time spent 2023 [Dataset]. https://www.statista.com/statistics/1401370/threads-global-daily-time-spent/
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    Dataset updated
    Jul 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 14, 2023
    Area covered
    Worldwide
    Description

    As of July 14, 2023, users of Meta's new social network Threads were spending an average of six minutes on the service per day, down from an average of 21 minutes on July 7, 2023. The new platform, which is integrated with Instagram, was released on 5 July, 2023, and has been compared to Twitter due to its text-based concept and focus on real-time conversations.

  2. Average daily time spent on social media worldwide 2012-2025

    • statista.com
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    Statista, Average daily time spent on social media worldwide 2012-2025 [Dataset]. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of February 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usage Currently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events and friends. Global impact of social media Social media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased polarization in politics, and heightened everyday distractions.

  3. n

    Data from: Resource allocation to a structural biomaterial: induced...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Mar 9, 2021
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    Emily Roberts; Laura Newcomb; Michelle McCartha; Katie Harrington; Sam LaFramboise; Emily Carrington; Kenneth Sebens (2021). Resource allocation to a structural biomaterial: induced production of byssal threads decreases growth of a marine mussel [Dataset]. http://doi.org/10.5061/dryad.612jm641f
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    zipAvailable download formats
    Dataset updated
    Mar 9, 2021
    Dataset provided by
    University of Washington
    Authors
    Emily Roberts; Laura Newcomb; Michelle McCartha; Katie Harrington; Sam LaFramboise; Emily Carrington; Kenneth Sebens
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description
    1. Specialized mechanical structures produced by organisms provide crucial fitness advantages. The energetic cost associated with producing these structural materials and the resulting energetic trade-off with growth, however, is rarely quantified. We evaluate resource allocation to structural material production within the context of an energetic framework by combining an experimental manipulation with an energetic model.

    2. Mytilid bivalves produce byssus, a network of collagen-like threads that tethers individuals to hard substrate. We hypothesized that a manipulation that induces the production of more byssal threads would result in increased energetic cost and decreased growth.

    3. In month-long field experiments in spring and autumn, we severed byssal threads across a range of frequencies (never, weekly, daily), and measured shell and tissue growth. We then quantified the costs associated with the production of byssal threads using a Scope for Growth model.

    4. We found that byssal thread removal increased byssal thread production and decreased growth. The cost calculated per byssal thread was similar in the spring and autumn (~1 J/thread), but energy budget calculations differed by season, and depended on thread quantity and seasonal differences in assumptions of metabolic costs.

    5. This work demonstrates that the cost of producing a structural material has a substantial effect on mussel energetic state. The energetic cost of producing byssal threads was 2-8% percent of the energy budget in control groups that had low byssal thread production, and increased 6 to 11-fold (up to 47%) in mussels induced to produce threads daily.

    6. We propose that characterizing the trade-off between the cost of biomaterial production and growth has implications for understanding the role of trade-offs in adaptive evolution, and improved natural resource management and conservation practices.

    Methods The effect of thread severing frequency on thread production rate and growth of Mytilus trossulus was investigated in a field setting over 1 month in autumn 2013 (mid October to mid November) and in spring 2014 (late April to late May). Mytilus trossulus, ranging approximately 2-3 cm length (~80 to 200 mg dry weight tissue), were collected from Argyle Creek on San Juan Island, WA (Lat 48.521652°N and Long 123.014061°W) and transported to Friday Harbor Laboratories (Lat. 48.525350°N, Long. 123.012521°W). The pre-existing byssal threads were severed from each mussel using scissors before the mussel was placed in a flexible mesh enclosure (10 cm x 22 cm, HDPE vexar plastic, 1 cm2 mesh size) suspended from a floating dock at ~1m depth. The three treatments differed in the frequency at which the newly produced byssal threads were severed during the experiment: never, weekly or daily (or 0, 1 and 7 times per week, respectively). Fifteen mussels were distributed evenly among three replicate enclosures for each treatment.

    Mussels in the “daily” treatment group were monitored for byssus production every day by counting and severing newly produced byssal threads. New byssal threads were also counted and severed for mussels in the “weekly” treatment group, but at a lower frequency of once per week. New byssal threads of the mussels in the “never” treatment group were not severed and were counted at the end of the 4-week experimental period. Thread production of each individual mussel was counted in all treatments, however in the “never” control group in spring only the total number of byssal threads produced by the group was recorded. This value was divided by sample size to obtain an average thread production for each individual in this single group.

    Shell growth was calculated as the change in shell length, measured with calipers (±0.1 mm). Buoyant weight (±0.001 g) was determined at the beginning and end of the experiment. At the end of the experiment, gonad and somatic tissues were removed from the shell and dried at 60°C to a constant weight, and the dried shell weight was measured (±0.01 g). Condition index (CI) was calculated by dividing dry tissue weight (g) by shell length cubed (mm3).

  4. Average and standard deviation of computation time of each component of a...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Shuji Suzuki; Masanori Kakuta; Takashi Ishida; Yutaka Akiyama (2023). Average and standard deviation of computation time of each component of a GHOSTZ calculation with 1 CPU thread. [Dataset]. http://doi.org/10.1371/journal.pone.0157338.t001
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Shuji Suzuki; Masanori Kakuta; Takashi Ishida; Yutaka Akiyama
    License

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

    Description

    Average and standard deviation of computation time of each component of a GHOSTZ calculation with 1 CPU thread.

  5. s

    TikTok Users By Gender Worldwide

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). TikTok Users By Gender Worldwide [Dataset]. https://www.searchlogistics.com/learn/statistics/tiktok-user-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

    TikTok has a significantly larger female user base globally.

  6. s

    Truth Social User Demographics

    • searchlogistics.com
    Updated Apr 24, 2023
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    (2023). Truth Social User Demographics [Dataset]. https://www.searchlogistics.com/learn/statistics/truth-social-statistics/
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    Dataset updated
    Apr 24, 2023
    License

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

    Description

    A survey done in March 2022 found that 31% of Republican voters said they would use Truth Social often and 14% said they plan to use the platform a lot.

  7. T

    TikTok Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    Search Logistics (2025). TikTok Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/tiktok-user-statistics/
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    These TikTok user statistics tell the whole story of the new social media giant and give you some insights into the app's future.

  8. T

    Truth Social Statistics

    • searchlogistics.com
    Updated Apr 24, 2023
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    Search Logistics (2023). Truth Social Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/truth-social-statistics/
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    Dataset updated
    Apr 24, 2023
    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    We've put together a list of the latest Truth Social statistics so you can see who uses the platform and whether or not Truth Social is likely to become a dominant social media network in the future.

  9. f

    Computational time for different methods applied to Dataset II.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Zhongyang Zhang; Ke Hao (2023). Computational time for different methods applied to Dataset II. [Dataset]. http://doi.org/10.1371/journal.pcbi.1004618.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS Computational Biology
    Authors
    Zhongyang Zhang; Ke Hao
    License

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

    Description

    a The LRR and BAF data can be extracted from the final report generated by Illumina GenomeStudio.b BAM file is required by ExomeCNV for calling CNV, while VCF file is optional and used for calling CN-LOH. BAM file is processed by GATK.c BAM file is processed by a perl script distributed along with CNAnorm.d BAM file is processed by SAMtools.e Computational time is unified to single thread CPU time in minute. The list values are average time across samples with standard deviation included in parentheses.Computational time for different methods applied to Dataset II.

  10. f

    Median interaction size and thread length.

    • figshare.com
    xls
    Updated Jan 2, 2025
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    Alex Goddard; Alex Gillespie (2025). Median interaction size and thread length. [Dataset]. http://doi.org/10.1371/journal.pone.0316618.t006
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    xlsAvailable download formats
    Dataset updated
    Jan 2, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Alex Goddard; Alex Gillespie
    License

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

    Description

    Interaction size refers to the total number of turns in a post-comments set and thread length refers to the total number of turns in a single set of comments organized by the reply-to function.

  11. Meta: daily active people (DAP) Q4 2018-Q3 2025

    • statista.com
    • abripper.com
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    Statista, Meta: daily active people (DAP) Q4 2018-Q3 2025 [Dataset]. https://www.statista.com/statistics/1092227/facebook-product-dau/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Meta's family of apps continues to dominate the global social media landscape, with **** billion daily active users across its core products in the third quarter of 2025. This represents a slight increase from the previous quarter and underscores the company's enduring influence in connecting people worldwide. Instagram's global reach and demographics Among Meta's portfolio, Instagram stands out with its impressive user base in key markets. India leads with over 480 million users, followed by the United States with over**** million and Brazil with *** million. Messenger and WhatsApp usage trends Meta's messaging apps continue to see robust engagement. Facebook Messenger averaged *** million daily active users on Android devices in October 2024, with iOS users adding another *** million on average. Meanwhile, WhatsApp has solidified its position as the leading communication channel for global smartphone users, reaching an estimated ****billion unique active users worldwide in April 2025.

  12. U.S. teens average time spent on social networks per day 2023

    • statista.com
    Updated Oct 13, 2023
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    Statista (2023). U.S. teens average time spent on social networks per day 2023 [Dataset]. https://www.statista.com/statistics/1451257/us-teens-hours-spent-social-networks-per-day/
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    Dataset updated
    Oct 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 26, 2023 - Jul 17, 2023
    Area covered
    North America, United States
    Description

    According to a 2023 survey conducted in the United States, teenagers spent an average of 4.8 hours every day on social media platforms. Girls spent 5.3 hours on social networks daily, compared to 4.4 hours for boys. YouTube and TikTok were the most popular online networks among those aged 13 to 19, with 1.9 and 1.5 hours of average daily engagement, respectively. The most used platform for girls was TikTok, while the most used platform for boys was YouTube. Are teens constantly connected to social media? YouTube, TikTok, Instagram and Snapchat are the most attractive and time-consuming platforms for young internet users. A survey conducted in the U.S. in 2023 found that 62 percent of teenagers were almost constantly connected to Instagram, and 17 percent were almost constantly connected to TikTok. Overall, 71 percent of teens used YouTube daily, and 47 percent used Snapchat daily. Furthermore, YouTube had a 93 percent reach among American teens in 2023, down from 95 percent in 2022. Teens and their internet devices For younger generations especially, social media is mostly accessed via mobile devices, and almost all teenagers in the United States have smartphone access. A 2023 survey conducted in the U.S. found that 92 percent of teens aged 13 to 14 years had access to a smartphone at home, as well as 97 percent of those aged 15 to 17. Additionally, U.S. girls were slightly more likely than their male counterparts to have access to a smartphone.

  13. Most used social media platforms in Portugal 2024

    • statista.com
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    Statista, Most used social media platforms in Portugal 2024 [Dataset]. https://www.statista.com/statistics/1373637/portugal-most-used-social-media-platforms/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Portugal
    Description

    The relevance of social media in today’s society is unprecedented, with user penetration reaching high values globally, but especially in Europe. Portugal is no exception, and, in 2024, WhatsApp was the most used social media platform, chosen by over 90 percent of internet users. Close behind was Instagram, selected by a rate of 82.4 percent of respondents. Social media platforms such as TikTok and Pinterest were used by a similar ratio of respondents, between 49 and 40 percent. Threads, on the other hand, was the platform with the lowest usage rate, as it was used by only 11 percent of the online population. In Portugal, social media is mostly for young people and women Social media use is common to all age groups, which exemplifies the democratization of these online platforms. Nevertheless, it is especially between the ages of 25 and 34 that social network penetration is the highest, followed by the age range between 18 and 24 years. Instagram, in particular, is very much used by the youngest generations, and it is women that record the highest usage shares, among all age groups. The Portuguese spend hours on social media daily, especially exchanging messages In Portugal, using social media is among the most time-consuming media activities performed daily. In 2024, the Portuguese spent on average 2 hours and 18 minutes using these social platforms, more than listening to music or reading news online. They mostly dedicated their time on social media sending private messages, and liking and commenting on posts by other users. Posting pictures or videos was performed by less than a half of the population in Portugal, which demonstrates that social platforms are mostly used to communicate with acquaintances.

  14. Meta: annual advertising revenue worldwide 2009-2024

    • statista.com
    • abripper.com
    Updated Nov 25, 2025
    + more versions
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    Statista (2025). Meta: annual advertising revenue worldwide 2009-2024 [Dataset]. https://www.statista.com/statistics/271258/facebooks-advertising-revenue-worldwide/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, Meta (formerly Facebook Inc) generated over 160 billion U.S. dollars in ad revenues. Advertising accounts for the vast majority of the social network's revenue. Facebook advertising revenue – additional information Facebook’s business model heavily relies on ads, as the majority of social network’s revenue comes from advertising. In 2020, about 97.9 percent of Facebook's global revenue was generated from advertising, whereas only around two percent was generated by payments and other fees revenue. Facebook ad revenue stood at close to 86 billion U.S. dollars in 2020, a new record for the company and a significant increase in comparison to the previous years. For instance, the social network generated almost seven billion U.S. dollars in ad revenue in 2013, about 10 billion less than the 2015 figure. Facebook's average revenue per user also significantly increased in the same time span, going from 6.81 U.S. dollars in 2013 to 32.03 U.S. dollars in 2020. The U.S. and Canada are important markets for Facebook, considering the average revenue per user (ARPU) in these two countries is far above the global average. Facebook’s ARPU in the U.S. and Canada was 41.41 U.S. dollars in the last quarter of 2019, while the global average was 8.52 U.S. dollars. In Europe, Facebook’s average revenue per user was 13.21 U.S. dollars during the same time period. In terms of segments, mobile is the most promising advertising form for the company. In 2018, Facebook’s mobile advertising revenue already accounted for 92 percent of the social network’s total advertising revenue. Facebook’s mobile advertising revenue grew from an estimate of 13 billion U.S. dollars in 2015 to 50.6 billion U.S. dollars in 2018.

  15. Ranking of social media platforms in Russia Q3 2024, by user share

    • statista.com
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    Statista, Ranking of social media platforms in Russia Q3 2024, by user share [Dataset]. https://www.statista.com/statistics/867549/top-active-social-media-platforms-in-russia/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    More than three-quarters of the Russian online population aged 16 years and older used the Telegram messenger, thus making it the most-used social media platform among those listed in the ranking. WhatsApp ranked second, with a penetration rate of nearly 74 percent, followed by VK and TikTok. Social media usage in Russia In 2024, the daily time spent on social media in Russia was recorded at roughly two hours and 20 minutes per user on average. After Facebook, Instagram, and X (formerly Twitter) were blocked in Russia at the end of February and the beginning of March 2022, a significant increase in activity was recorded on VK and Telegram. For example, the daily audience on VK increased by almost nine percent, while the number of friends requests and feed views grew by 250 percent and 25 percent, respectively. YouTube From the global perspective, YouTube ranked second after Facebook, which remained the leading social media platform with about three billion active users. The U.S.-based channel MrBeast had the highest number of subscribers on YouTube with around 343 million as of January 2025. India-based T-Series followed with 284 million subscribers as of that month.

  16. Active social media users in the United Kingdom (UK) 2025

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Active social media users in the United Kingdom (UK) 2025 [Dataset]. https://www.statista.com/statistics/507405/uk-active-social-media-and-mobile-social-media-users/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    United Kingdom
    Description

    Social media's influence in the United Kingdom continues to grow, with **** million active users as of February 2025, representing ** percent of the population. This penetration rate surpasses the global average of **** percent, positioning the UK as a leader in social media adoption. The country's high usage reflects a broader trend of increasing social media engagement worldwide, particularly in Northern and Western Europe. Global social media landscape The social media landscape is rapidly evolving, with China currently hosting over one billion users and India projected to become the largest social media audience by 2029. Notably, Nigeria is expected to see a staggering *** percent increase in its online networking audience between 2023 and 2029. In 2024, global social media users spent an average of *** minutes per day on social networks. Facebook is still the market leader Facebook is the most widely utilized social media platform globally, and India boasts *** million Facebook users, making it the leading country in terms of Facebook audience size. As of April 2024, it was found that men between the ages of ** and ** were the largest audience for Facebook, accounting for **** percent of global users. Furthermore, Facebooks second-largest audience base could be found with men aged 18 to 24 years.

  17. C

    China CN: IVI: MoM: HS4: Metallised Yarn, Whether or not Gimped, Being...

    • ceicdata.com
    Updated Mar 23, 2024
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    CEICdata.com (2024). China CN: IVI: MoM: HS4: Metallised Yarn, Whether or not Gimped, Being Textile Yarn, or Strip or the Like of Heading 5404 or 5405, of Textile Fibres, Combined With Metal in the Form of Thread, Strip or Powder or Covered With Metal [Dataset]. https://www.ceicdata.com/en/china/trade-value-index-mom-hs4-classification/cn-ivi-mom-hs4-metallised-yarn-whether-or-not-gimped-being-textile-yarn-or-strip-or-the-like-of-heading-5404-or-5405-of-textile-fibres-combined-with-metal-in-the-form-of-thread-strip-or-powder-or-covered-with-metal
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    Dataset updated
    Mar 23, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Description

    China IVI: MoM: HS4: Metallised Yarn, Whether or not Gimped, Being Textile Yarn, or Strip or the Like of Heading 5404 or 5405, of Textile Fibres, Combined With Metal in the Form of Thread, Strip or Powder or Covered With Metal data was reported at 99.531 Average 12 Mths PY=100 in Dec 2024. This records an increase from the previous number of 83.600 Average 12 Mths PY=100 for Nov 2024. China IVI: MoM: HS4: Metallised Yarn, Whether or not Gimped, Being Textile Yarn, or Strip or the Like of Heading 5404 or 5405, of Textile Fibres, Combined With Metal in the Form of Thread, Strip or Powder or Covered With Metal data is updated monthly, averaging 106.900 Average 12 Mths PY=100 from Feb 2018 (Median) to Dec 2024, with 62 observations. The data reached an all-time high of 264.400 Average 12 Mths PY=100 in Mar 2023 and a record low of 36.418 Average 12 Mths PY=100 in Dec 2022. China IVI: MoM: HS4: Metallised Yarn, Whether or not Gimped, Being Textile Yarn, or Strip or the Like of Heading 5404 or 5405, of Textile Fibres, Combined With Metal in the Form of Thread, Strip or Powder or Covered With Metal data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Trade Value Index: MoM: HS4 Classification.

  18. C

    China Trade Index: MoM: Unit Value: Import HS4: Metallised Yarn, Whether or...

    • ceicdata.com
    Updated Mar 22, 2024
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    CEICdata.com (2024). China Trade Index: MoM: Unit Value: Import HS4: Metallised Yarn, Whether or not Gimped, Being Textile Yarn, or Strip or the Like of Heading 5404 or 5405, of Textile Fibres, Combined With Metal in the Form of Thread, Strip or Powder or Covered With Metal [Dataset]. https://www.ceicdata.com/en/china/unit-value-index-mom-hs4-classification/trade-index-mom-unit-value-import-hs4-metallised-yarn-whether-or-not-gimped-being-textile-yarn-or-strip-or-the-like-of-heading-5404-or-5405-of-textile-fibres-combined-with-metal-in-the-form-of-thread-strip-or-powder-or-covered-with-metal
    Explore at:
    Dataset updated
    Mar 22, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Description

    China Trade Index: MoM: Unit Value: Import HS4: Metallised Yarn, Whether or not Gimped, Being Textile Yarn, or Strip or the Like of Heading 5404 or 5405, of Textile Fibres, Combined With Metal in the Form of Thread, Strip or Powder or Covered With Metal data was reported at 97.208 Average 12 Mths PY=100 in Dec 2024. This records a decrease from the previous number of 142.500 Average 12 Mths PY=100 for Nov 2024. China Trade Index: MoM: Unit Value: Import HS4: Metallised Yarn, Whether or not Gimped, Being Textile Yarn, or Strip or the Like of Heading 5404 or 5405, of Textile Fibres, Combined With Metal in the Form of Thread, Strip or Powder or Covered With Metal data is updated monthly, averaging 100.036 Average 12 Mths PY=100 from Feb 2018 (Median) to Dec 2024, with 62 observations. The data reached an all-time high of 179.300 Average 12 Mths PY=100 in Oct 2024 and a record low of 61.614 Average 12 Mths PY=100 in Apr 2023. China Trade Index: MoM: Unit Value: Import HS4: Metallised Yarn, Whether or not Gimped, Being Textile Yarn, or Strip or the Like of Heading 5404 or 5405, of Textile Fibres, Combined With Metal in the Form of Thread, Strip or Powder or Covered With Metal data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Unit Value Index: MoM: HS4 Classification.

  19. C

    China CN: IQI: MoM: HS4: Sewing Thread of Manmade Staple Fibres, Whether or...

    • ceicdata.com
    Updated Mar 23, 2024
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    CEICdata.com (2024). China CN: IQI: MoM: HS4: Sewing Thread of Manmade Staple Fibres, Whether or not Put Up for Retail Sale. [Dataset]. https://www.ceicdata.com/en/china/quantum-index-mom-hs4-classification/cn-iqi-mom-hs4-sewing-thread-of-manmade-staple-fibres-whether-or-not-put-up-for-retail-sale
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    Dataset updated
    Mar 23, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Oct 1, 2023 - Nov 1, 2024
    Area covered
    China
    Description

    China IQI: MoM: HS4: Sewing Thread of Manmade Staple Fibres, Whether or not Put Up for Retail Sale. data was reported at 219.600 Average 12 Mths PY=100 in Feb 2025. This records an increase from the previous number of 31.500 Average 12 Mths PY=100 for Jan 2025. China IQI: MoM: HS4: Sewing Thread of Manmade Staple Fibres, Whether or not Put Up for Retail Sale. data is updated monthly, averaging 67.550 Average 12 Mths PY=100 from Jan 2018 (Median) to Feb 2025, with 82 observations. The data reached an all-time high of 219.600 Average 12 Mths PY=100 in Feb 2025 and a record low of 16.900 Average 12 Mths PY=100 in Jul 2020. China IQI: MoM: HS4: Sewing Thread of Manmade Staple Fibres, Whether or not Put Up for Retail Sale. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Quantum Index: MoM: HS4 Classification.

  20. C

    China CN: IVI: MoM: HS4: Otton Yarn (Other Than Sewing Thread) Put Up for...

    • ceicdata.com
    Updated Mar 23, 2024
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    CEICdata.com (2024). China CN: IVI: MoM: HS4: Otton Yarn (Other Than Sewing Thread) Put Up for Retail Sale. [Dataset]. https://www.ceicdata.com/en/china/trade-value-index-mom-hs4-classification/cn-ivi-mom-hs4-otton-yarn-other-than-sewing-thread-put-up-for-retail-sale
    Explore at:
    Dataset updated
    Mar 23, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 1, 2022 - Jul 1, 2024
    Area covered
    China
    Description

    China IVI: MoM: HS4: Otton Yarn (Other Than Sewing Thread) Put Up for Retail Sale. data was reported at 34.800 Average 12 Mths PY=100 in Feb 2025. This records a decrease from the previous number of 36.900 Average 12 Mths PY=100 for Jul 2024. China IVI: MoM: HS4: Otton Yarn (Other Than Sewing Thread) Put Up for Retail Sale. data is updated monthly, averaging 87.650 Average 12 Mths PY=100 from Jan 2018 (Median) to Feb 2025, with 54 observations. The data reached an all-time high of 3,484.604 Average 12 Mths PY=100 in Jul 2019 and a record low of 1.893 Average 12 Mths PY=100 in Jan 2023. China IVI: MoM: HS4: Otton Yarn (Other Than Sewing Thread) Put Up for Retail Sale. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Trade Value Index: MoM: HS4 Classification.

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Statista (2023). Threads: global daily time spent 2023 [Dataset]. https://www.statista.com/statistics/1401370/threads-global-daily-time-spent/
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Threads: global daily time spent 2023

Explore at:
Dataset updated
Jul 15, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 14, 2023
Area covered
Worldwide
Description

As of July 14, 2023, users of Meta's new social network Threads were spending an average of six minutes on the service per day, down from an average of 21 minutes on July 7, 2023. The new platform, which is integrated with Instagram, was released on 5 July, 2023, and has been compared to Twitter due to its text-based concept and focus on real-time conversations.

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