93 datasets found
  1. Global media inflation rate 2020-2024, by medium

    • statista.com
    Updated Nov 22, 2024
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    Statista (2024). Global media inflation rate 2020-2024, by medium [Dataset]. https://www.statista.com/statistics/1273810/media-inflation-rate-global-worldwide/
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    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global media inflation rates are projected to vary significantly across different mediums in 2024, with online video leading at 4.2 percent and magazines at just 0.1 percent. This reflects the ongoing shift in media consumption patterns and advertising spend. The data highlights the resilience of digital platforms and the challenges faced by traditional print media in an increasingly digital landscape. Digital dominance and traditional media's struggle The disparity in inflation rates across media types underscores the growing divide between digital and traditional platforms. In 2023, online media worldwide experienced an inflation rate of 4.4 percent, more than double that of offline media at 1.7 percent. This trend is expected to continue in 2024, with online video and display maintaining higher inflation rates compared to newspapers and magazines. The shift is further evidenced by global media consumption patterns, with users spending an average of three hours and 48 minutes daily on mobile devices in 2024. Industry leaders and market dynamics The changing media landscape is reflected in the revenue rankings of top media companies. In 2023, tech giants Alphabet Inc. and Meta Platforms Inc. led the pack, followed by traditional media conglomerates like Comcast Corporation and Walt Disney. This hierarchy illustrates the growing influence of digital platforms in the media industry. The United States remains a crucial market for these companies, with American consumers spending an average of over 12 hours daily consuming major media. As the global entertainment and media market continues to expand, and projections suggest it could reach a value of 3.3 trillion U.S. dollars by 2027, driven largely by the continued growth of digital platforms.

  2. F

    Producer Price Index by Industry: Newspaper Publishers: Weekly and Other...

    • fred.stlouisfed.org
    json
    Updated Oct 15, 2015
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    (2015). Producer Price Index by Industry: Newspaper Publishers: Weekly and Other Newspaper Advertising Sales (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/PCU5111105111104
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    jsonAvailable download formats
    Dataset updated
    Oct 15, 2015
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Newspaper Publishers: Weekly and Other Newspaper Advertising Sales (DISCONTINUED) (PCU5111105111104) from Jun 1999 to Sep 2015 about periodicals, advertisement, printing, sales, PPI, industry, inflation, price index, indexes, price, and USA.

  3. Average media advertising price inflation in CEE 2022-2023, by medium

    • statista.com
    Updated Oct 21, 2024
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    Statista (2024). Average media advertising price inflation in CEE 2022-2023, by medium [Dataset]. https://www.statista.com/statistics/1491250/cee-average-media-advertising-price-inflation/
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    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    CEE
    Description

    Average media advertising price inflation in Central and Eastern Europe (CEE) was higher in the television segment, forecast at 13 percent in 2023, the same rate as in the previous year. The lowest price inflation was observed in the newspaper and cinema segments. All advertising media were projected to experience an increase in prices.

  4. Forecasting with news sentiment: Evidence with UK newspapers

    • zenodo.org
    • data.niaid.nih.gov
    bin
    Updated Jan 11, 2023
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    Dooruj Rambaccussing; Dooruj Rambaccussing (2023). Forecasting with news sentiment: Evidence with UK newspapers [Dataset]. http://doi.org/10.1016/j.ijforecast.2020.04.002
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    binAvailable download formats
    Dataset updated
    Jan 11, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Dooruj Rambaccussing; Dooruj Rambaccussing
    License

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

    Area covered
    United Kingdom
    Description

    These are datasets of economic sentiments derived from Uk newspapers using a dictionary and support vector machines. For more information on the application refer to :

    Rambaccussing, D. and Kwiatkowski, A., 2020. Forecasting with news sentiment: Evidence with UK newspapers. International Journal of Forecasting, 36(4), pp.1501-1516.

    https://www.sciencedirect.com/science/article/pii/S0169207020300595

  5. J

    A re-examination of the stationarity of inflation (replication data)

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt
    Updated Dec 8, 2022
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    Steven Cook; Steven Cook (2022). A re-examination of the stationarity of inflation (replication data) [Dataset]. http://doi.org/10.15456/jae.2022319.1306214066
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    txt(1279)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Steven Cook; Steven Cook
    License

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

    Description

    In a recent examination of the integrated nature of inflation, Culver and Papell (Journal of Applied Econometrics, 1997) applied a range of unit root and stationarity tests to data from a panel of 13 OECD economies. The results obtained were mixed. While little evidence of stationarity was detected using univariate methods, rejection of the unit root hypothesis was observed under panel data unit root testing, although rejection was found to be sensitive to cross-sectional variation. In this note the results of Culver and Papell are reconsidered in light of conditional heteroskedasticity detected in the inflation rate series. Using a more appropriate univariate testing procedure combining local-to-unity detrending and joint maximum likelihood estimation of a unit root testing equation and GARCH process, strong evidence in favour of stationarity is detected in 11 of 13 economies examined. In contrast to the univariate findings of Culver and Papell, the results obtained herein using an alternative univariate procedure provide evidence in support of their I(0) inference drawn using panel methods.

  6. F

    Producer Price Index by Commodity: Advertising Space and Time Sales:...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Producer Price Index by Commodity: Advertising Space and Time Sales: Advertising Space Sales in Newspapers [Dataset]. https://fred.stlouisfed.org/series/WPU361102
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Commodity: Advertising Space and Time Sales: Advertising Space Sales in Newspapers (WPU361102) from Dec 1980 to Feb 2025 about periodicals, advertisement, sales, commodities, PPI, inflation, price index, indexes, price, and USA.

  7. t

    CPI INDEX 09.5 : Books, newspapers and stationery 2015=100 (CDID: D7FJ)...

    • timeseriesexplorer.com
    Updated May 22, 2024
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    Office for National Statistics (2024). CPI INDEX 09.5 : Books, newspapers and stationery 2015=100 (CDID: D7FJ) Quarter | Consumer price inflation time series [Dataset]. https://www.timeseriesexplorer.com/01b6e047c438ee6884a03036ef736dce/016a4121a6b25a0139e05da1996cbfed/
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    Dataset updated
    May 22, 2024
    Dataset provided by
    Office for National Statistics
    Time Series Explorer
    Description

    (CDID: D7FJ) Quarter - Consumer price inflation time series Time series data for public sector finances and important fiscal aggregates, based on the new European System of Accounts 2010: ESA10 framework.

  8. F

    Producer Price Index by Industry: Newspaper Publishers

    • fred.stlouisfed.org
    json
    Updated Jan 18, 2023
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    (2023). Producer Price Index by Industry: Newspaper Publishers [Dataset]. https://fred.stlouisfed.org/series/PCU5111151111
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    jsonAvailable download formats
    Dataset updated
    Jan 18, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: Newspaper Publishers (PCU5111151111) from Jul 1979 to Dec 2022 about periodicals, printing, PPI, industry, inflation, price index, indexes, price, and USA.

  9. Consumer Price Index (CPI) of newspapers and serial publications in France...

    • statista.com
    Updated Feb 10, 2025
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    Statista (2025). Consumer Price Index (CPI) of newspapers and serial publications in France 2020-2024 [Dataset]. https://www.statista.com/statistics/762272/cpi-newspapers-serial-publications-france/
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    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020 - Dec 2024
    Area covered
    France
    Description

    The consumer price index (CPI) is the instrument measuring inflation. It is used to estimate, between two given periods, the average variation in the prices of products consumed by households.This graph depicts the Consumer Price Index (CPI) of newspapers and periodic publications in France between May 2020 and December 2024. In December 2024, the CPI reached 146.3.

  10. d

    The Possible Unemployment Cost of Average Inflation Below a Credible Target....

    • b2find.dkrz.de
    Updated Oct 29, 2023
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    (2023). The Possible Unemployment Cost of Average Inflation Below a Credible Target. A Replication Study of Svensson (American Economic Journal: Macroeconomics, 2015). Data. - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/4e51281b-ed63-5ea0-bd9c-a1d90cfbd8c6
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    Dataset updated
    Oct 29, 2023
    Description

    These are the replication files for Oraby (JCRE, 2022). The paper aims to replicate Svensson (American Economic Journal: Macroeconomics, 2015). Abstract: This paper replicates the main analysis of Svensson (2015) with some expansion to the original analysis, mainly for the United States. Overall, the replication exercise successfully confirms the conclusions of Svensson (2015). In both Sweden and the United States, empirical evidence supports the existence of a non-vertical long run Phillips curve. The slope of the long run Phillips curve recorded -0.75 in Sweden and -0.23 in the United States. While the average inflation rate in the United States was very close to its targeted level, the average inflation rate in Sweden was 0.6 percentage points below its targeted level over the sample period. The deviation of inflation rate from its targeted level in Sweden resulted in an unemployment cost equivalent to 0.8 percentage points over the sample period where the average unemployment rate recorded 7.4 percent compared with an estimated 6.6 percent had the average inflation rate been at its targeted level.

  11. C

    China Retail Price Index: Shanghai: Book, Newspaper, Magazine & Electronic...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China Retail Price Index: Shanghai: Book, Newspaper, Magazine & Electronic Publication [Dataset]. https://www.ceicdata.com/en/china/retail-price-index-shanghai/retail-price-index-shanghai-book-newspaper-magazine--electronic-publication
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    Dataset updated
    Feb 15, 2025
    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
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Domestic Trade Price
    Description

    Retail Price Index: Shanghai: Book, Newspaper, Magazine & Electronic Publication data was reported at 98.000 Prev Year=100 in 2022. This records a decrease from the previous number of 99.900 Prev Year=100 for 2021. Retail Price Index: Shanghai: Book, Newspaper, Magazine & Electronic Publication data is updated yearly, averaging 103.050 Prev Year=100 from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 185.700 Prev Year=100 in 1989 and a record low of 98.000 Prev Year=100 in 2022. Retail Price Index: Shanghai: Book, Newspaper, Magazine & Electronic Publication data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IB: Retail Price Index: Shanghai.

  12. f

    Correlation between inflation and policy rates.

    • plos.figshare.com
    xls
    Updated Dec 11, 2023
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    Tanweer Ul Islam; Dajeeha Ahmed (2023). Correlation between inflation and policy rates. [Dataset]. http://doi.org/10.1371/journal.pone.0295453.t003
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    xlsAvailable download formats
    Dataset updated
    Dec 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tanweer Ul Islam; Dajeeha Ahmed
    License

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

    Description

    The enduring discourse regarding the effectiveness of interest rate policy in mitigating inflation within developing economies is characterized by the interplay of structural and supply-side determinants. Moreover, extant academic literature fails to resolve the direction of causality between inflation and interest rates. Nevertheless, the prevalent adoption of interest rate-based monetary policies in numerous developing economies raises a fundamental inquiry: What motivates central banks in these nations to consistently espouse this strategy? To address this inquiry, our study leverages wavelet transformation to dissect interest rate and inflation data across a spectrum of frequency scales. This innovative methodology paves the way for a meticulous exploration of the intricate causal interplay between these pivotal macroeconomic variables for twenty-two developing economies using monthly data from 1992 to 2022. Traditional literature on causality tends to focus on short- and long-run timescales, yet our study posits that numerous uncharted time and frequency scales exist between these extremes. These intermediate scales may wield substantial influence over the causal relationship and its direction. Our research thus extends the boundaries of existing causality literature and presents fresh insights into the complexities of monetary policy in developing economies. Traditional wisdom suggests that central banks should raise interest rates to combat inflation. However, our study uncovers a contrasting reality in developing economies. It demonstrates a positive causal link between the policy rate and inflation, where an increase in the central bank’s interest rates leads to an upsurge in price levels. Paradoxically, in response to escalating prices, the central bank continues to heighten the policy rate, thereby perpetuating this cyclical pattern. Given this observed positive causal relationship in developing economies, central banks must explore structural and supply-side factors to break this cycle and regain control over inflation.

  13. H

    Replication Data for: Cavallo, A., & Kryvtsov, O. (2024). Price discounts...

    • dataverse.harvard.edu
    • oar-rao.bank-banque-canada.ca
    Updated Jul 31, 2024
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    Alberto Cavallo (2024). Replication Data for: Cavallo, A., & Kryvtsov, O. (2024). Price discounts and cheapflation during the post-pandemic inflation surge. Journal of Monetary Economics. [Dataset]. http://doi.org/10.7910/DVN/NY7IP4
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 31, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Alberto Cavallo
    License

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

    Description

    Replication data and code for Cavallo, A., & Kryvtsov, O. (2024). Price discounts and cheapflation during the post-pandemic inflation surge. Journal of Monetary Economics. https://doi.org/10.1016/j.jmoneco.2024.103644

  14. F

    Producer Price Index by Commodity: Publishing Sales, Excluding Software:...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Producer Price Index by Commodity: Publishing Sales, Excluding Software: Newspaper Subscription and Single Copy Sales [Dataset]. https://fred.stlouisfed.org/series/WPU331202
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Commodity: Publishing Sales, Excluding Software: Newspaper Subscription and Single Copy Sales (WPU331202) from Dec 1980 to Feb 2025 about periodicals, software, printing, sales, commodities, PPI, inflation, price index, indexes, price, and USA.

  15. China Retail Price Index: Rural: Book, Newspaper, Magazine and Electric...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). China Retail Price Index: Rural: Book, Newspaper, Magazine and Electric Publication [Dataset]. https://www.ceicdata.com/en/china/retail-price-index-rural-annual/retail-price-index-rural-book-newspaper-magazine-and-electric-publication
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    Dataset updated
    Mar 15, 2023
    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
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Domestic Trade Price
    Description

    China Retail Price Index: Rural: Book, Newspaper, Magazine and Electric Publication data was reported at 101.300 Prev Year=100 in 2022. This records an increase from the previous number of 100.700 Prev Year=100 for 2021. China Retail Price Index: Rural: Book, Newspaper, Magazine and Electric Publication data is updated yearly, averaging 101.998 Prev Year=100 from Dec 1984 (Median) to 2022, with 39 observations. The data reached an all-time high of 192.100 Prev Year=100 in 1989 and a record low of 99.400 Prev Year=100 in 2007. China Retail Price Index: Rural: Book, Newspaper, Magazine and Electric Publication data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IB: Retail Price Index: Rural: Annual.

  16. United Kingdom: books, newspapers, stationary consumer price index monthly...

    • statista.com
    Updated Feb 4, 2025
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    Statista (2025). United Kingdom: books, newspapers, stationary consumer price index monthly 2018-2024 [Dataset]. https://www.statista.com/statistics/285054/books-monthly-consumer-price-index-cpi-in-the-united-kingdom-uk/
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    Dataset updated
    Feb 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Dec 2024
    Area covered
    United Kingdom
    Description

    In December 2024, the price index value of books, newspapers, and stationery in the United Kingdom (UK) was measured at an index level of 153.9, a slight decrease after an all-time high of 154.9 for the time period under consideration occured the previous month (November 2024).Consumer price indices are designed to measure changes in the price of everything consumers buy. More information on CPI can be found here.

  17. Newspaper and Book Retailing in New Zealand - Market Research Report...

    • ibisworld.com
    Updated Dec 15, 2024
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    IBISWorld (2024). Newspaper and Book Retailing in New Zealand - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/new-zealand/industry/newspaper-and-book-retailing/419
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    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    IBISWorld
    Time period covered
    2014 - 2029
    Area covered
    New Zealand
    Description

    Newspaper and book retailers have faced challenges as digital media has become the preferred medium for consumers to receive news and entertainment. The pandemic accelerated this trend as lockdown measures pushed readers towards ebooks and digital magazine subscriptions and away from their physical versions, two product categories that have historically been reliable revenue sources for newsagents. Despite the low base year of 2019-20, a year marked by pandemic lockdowns, revenue has contracted at an annualised 5.2% for the five years through 2024-25 to $339.6 million. A 4.2% drop in revenue is expected for 2024-25 as household discretionary income has suffered in the wake of elevated inflation and interest rates. The Newspaper and Book Retailing industry has expanded its product segmentation in response to changing consumer preferences, stocking gifts and premium stationery. Businesses have introduced these new product lines to differentiate themselves from competitors and entice customers back into stores. However, the current economic climate in New Zealand has meant that outside of the lipstick effect, consumers have found it very hard to justify frivolous purchases. Still, products like greeting cards, collectables and gifts have allowed stores to improve profit margins. The downfall of newsagents and book retailers will persist on its current trajectory as the general public consumes an ever-growing amount of its entertainment and news online. The convenience of ebooks will tempt more consumers towards devices like the Amazon Kindle, reducing demand for physical books. News outlets have indicated an intention to expand their digital presence and will push for greater online subscriptions, hurting newsagents' revenue and societal role. These changes will weaken industry revenue by an annualised 0.8% through the end of 2029-30 to $326.2 million.

  18. B

    Brazil CPI: IPC-BR-M: Education, Reading & Recreation: Reading: Newspapers &...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil CPI: IPC-BR-M: Education, Reading & Recreation: Reading: Newspapers & Magazines [Dataset]. https://www.ceicdata.com/en/brazil/consumer-price-index/cpi-ipcbrm-education-reading--recreation-reading-newspapers--magazines
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    Dataset updated
    Feb 15, 2025
    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
    Feb 1, 2020 - Jan 1, 2021
    Area covered
    Brazil
    Variables measured
    Consumer Prices
    Description

    Brazil Consumer Price Index (CPI): IPC-BR-M: Education, Reading & Recreation: Reading: Newspapers & Magazines data was reported at 610.917 Dec2019=100 in Jan 2021. This records an increase from the previous number of 605.762 Dec2019=100 for Dec 2020. Brazil Consumer Price Index (CPI): IPC-BR-M: Education, Reading & Recreation: Reading: Newspapers & Magazines data is updated monthly, averaging 349.961 Dec2019=100 from May 1996 (Median) to Jan 2021, with 297 observations. The data reached an all-time high of 610.917 Dec2019=100 in Jan 2021 and a record low of 157.075 Dec2019=100 in May 1996. Brazil Consumer Price Index (CPI): IPC-BR-M: Education, Reading & Recreation: Reading: Newspapers & Magazines data remains active status in CEIC and is reported by Getulio Vargas Foundation. The data is categorized under Brazil Premium Database’s Inflation – Table BR.FGV: Consumer Price Index.

  19. C

    China Retail Price Index: Jiangxi: Book, Newspaper, Magazine & Electronic...

    • ceicdata.com
    Updated Feb 15, 2025
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    China Retail Price Index: Jiangxi: Book, Newspaper, Magazine & Electronic Publication [Dataset]. https://www.ceicdata.com/en/china/retail-price-index-jiangxi/retail-price-index-jiangxi-book-newspaper-magazine--electronic-publication
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Domestic Trade Price
    Description

    Retail Price Index: Jiangxi: Book, Newspaper, Magazine & Electronic Publication data was reported at 102.300 Prev Year=100 in 2022. This records an increase from the previous number of 100.900 Prev Year=100 for 2021. Retail Price Index: Jiangxi: Book, Newspaper, Magazine & Electronic Publication data is updated yearly, averaging 101.333 Prev Year=100 from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 204.600 Prev Year=100 in 1989 and a record low of 97.500 Prev Year=100 in 2007. Retail Price Index: Jiangxi: Book, Newspaper, Magazine & Electronic Publication data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IB: Retail Price Index: Jiangxi.

  20. I

    Indonesia Consumer Price Index: South Kalimantan: RSC: Newspaper, Books, and...

    • ceicdata.com
    Updated Sep 9, 2024
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    CEICdata.com (2024). Indonesia Consumer Price Index: South Kalimantan: RSC: Newspaper, Books, and School Supplies [Dataset]. https://www.ceicdata.com/en/indonesia/consumer-price-index-by-province-south-kalimantan/consumer-price-index-south-kalimantan-rsc-newspaper-books-and-school-supplies
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    Dataset updated
    Sep 9, 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, 2023 - Dec 1, 2023
    Area covered
    Indonesia
    Description

    Consumer Price Index (CPI): South Kalimantan: RSC: Newspaper, Books, and School Supplies data was reported at 146.170 2018=100 in Dec 2023. This records a decrease from the previous number of 146.670 2018=100 for Nov 2023. Consumer Price Index (CPI): South Kalimantan: RSC: Newspaper, Books, and School Supplies data is updated monthly, averaging 116.750 2018=100 from Jan 2019 (Median) to Dec 2023, with 60 observations. The data reached an all-time high of 146.670 2018=100 in Nov 2023 and a record low of 101.050 2018=100 in Jan 2019. Consumer Price Index (CPI): South Kalimantan: RSC: Newspaper, Books, and School Supplies data remains active status in CEIC and is reported by Statistics of Kalimantan Selatan Province. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB022: Consumer Price Index: by Province: South Kalimantan.

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Statista (2024). Global media inflation rate 2020-2024, by medium [Dataset]. https://www.statista.com/statistics/1273810/media-inflation-rate-global-worldwide/
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Global media inflation rate 2020-2024, by medium

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Dataset updated
Nov 22, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Global media inflation rates are projected to vary significantly across different mediums in 2024, with online video leading at 4.2 percent and magazines at just 0.1 percent. This reflects the ongoing shift in media consumption patterns and advertising spend. The data highlights the resilience of digital platforms and the challenges faced by traditional print media in an increasingly digital landscape. Digital dominance and traditional media's struggle The disparity in inflation rates across media types underscores the growing divide between digital and traditional platforms. In 2023, online media worldwide experienced an inflation rate of 4.4 percent, more than double that of offline media at 1.7 percent. This trend is expected to continue in 2024, with online video and display maintaining higher inflation rates compared to newspapers and magazines. The shift is further evidenced by global media consumption patterns, with users spending an average of three hours and 48 minutes daily on mobile devices in 2024. Industry leaders and market dynamics The changing media landscape is reflected in the revenue rankings of top media companies. In 2023, tech giants Alphabet Inc. and Meta Platforms Inc. led the pack, followed by traditional media conglomerates like Comcast Corporation and Walt Disney. This hierarchy illustrates the growing influence of digital platforms in the media industry. The United States remains a crucial market for these companies, with American consumers spending an average of over 12 hours daily consuming major media. As the global entertainment and media market continues to expand, and projections suggest it could reach a value of 3.3 trillion U.S. dollars by 2027, driven largely by the continued growth of digital platforms.

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