49 datasets found
  1. Impact of inflation on online shopping returns in the U.S. 2022, by age...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Impact of inflation on online shopping returns in the U.S. 2022, by age group [Dataset]. https://www.statista.com/statistics/1372619/united-states-inflation-online-shopping-returns/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 8, 2022 - Sep 19, 2022
    Area covered
    United States
    Description

    A 2022 survey revealed that even in times of inflation, most U.S. online shoppers have returned about the same proportion of purchases as before the current inflationary environment. Still, more than *** in *** respondents in the *** youngest age groups reported returning a higher percentage of online purchases due to economic pressure.

  2. Inflation rate in Spain 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 21, 2025
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    Statista (2025). Inflation rate in Spain 2030 [Dataset]. https://www.statista.com/statistics/271077/inflation-rate-in-spain/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    The statistic shows the inflation rate in Spain from 1987 to 2024, with projections up until 2030. The inflation rate is calculated using the price increase of a defined product basket. This product basket contains products and services, on which the average consumer spends money throughout the year. They include expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (e.g. gas, oil), as well as federal fees and taxes. In 2023, the average inflation rate in Spain increased by about 3.4 percent compared to the previous year. Inflation in Spain As explained briefly above, inflation is commonly defined as the level of prices for goods and services in a country’s economy over a certain time span. It increases when the total money supply of a country increases, causing the money’s value to decrease, and prices to increase again in turn. Nowadays the term “inflation” is used more or less synonymously with “price level increase”. Its opposite is deflation, which, in short, means a decrease of the price level. Spain and its economy have been severely affected by the financial crisis of 2008 (as can be seen above), when the real estate bubble imploded and caused the demand for goods and services to decrease and the unemployment rate in Spain to increase dramatically. Even though deflation only occurred for one year in 2009 and the price level has been increasing since, Spain’s economy still has a long way to go until full recovery. Apart from the inflation rate and the unemployment rate, gross domestic product / GDP growth in Spain and the trade balance of goods in Spain, i.e. the exports of goods minus the imports, are additional indicators of Spain’s desolate condition during the economic crisis and its slow and difficult recovery ever since. Still, there is a silver lining for Spain’s economy. All in all, things seems to be improving economically, albeit slowly; many key indicators are starting to stabilize or even pick up again, while others still have some recovering to do.

  3. Worldwide Inflation Based Database

    • kaggle.com
    Updated Dec 30, 2022
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    STEADFAST (2022). Worldwide Inflation Based Database [Dataset]. https://www.kaggle.com/datasets/sayeedin/worldwide-inflation-based-database
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 30, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    STEADFAST
    Description

    Under "Worldwide Inflation Based Database'' there are 4 sheets. Among them, the two are of data-sheets and the rest of the two are chart-typed sheets. However, between the two of the datasheets, one’s name is "Worldwide Inflation Rate in 2022”. Noted that this datasheet's table name is " Worldwide Inflation Rate in 2022''. Moreover, under this data table, there are three fields (“Country"; " Inflation rate-year over year"; "Date"), three columns, and, 185 rows. Also, each row contains 3 cells, and so, 185 rows contain 555 cells. And also, each column contains 185 cells, so, 3 columns contain 555 cells. In addition to, focusing on the two fields' ("Country", "Inflation rate-year over year") data of the datasheet.

    "Inflation Rate of Countries" named "Line" type-based chart has been made. On this chart, “Country” field values are on the horizontal axis. Whereas, “Inflation rate-year over year” field values are on the vertical axis. However, the chart shows that Zimbabwe’s highest raking inflation, and its rate is 269%, and also, its time-scale continuity is up to on 22 October,2022. On the other hand, the negative scale of the inflation rate is in South Sudan which rate is -2.50, also, its time-scale is up to on 22 August,2022.

    Basically, the chart has been made following “Data Shorting Descending Process’’, and, operating focused on the field (“Inflation rate-year over year’’) ‘s data.

    And, another data sheet’s table name is “COUNTRY WISE INFLATION RTAE-2’’. This table contains two fields( “Country’’; “Inflation rate-year over year’’; ), 2 columns, 185 rows. Also, each row contain two cells, and so, 185 rows contain 370 cells. Whereas, each column contains 185 cells, and so, 2 columns contain 370 cells. However, on the basis of this datasheet, “Ascending typed Shorting Process” has been operated after the accomplishment of “Filtering” process. On the basis of it, “Inflation rate- year over year’’ named “line-type” chart has been created. On this chart, “Country” named field values are on horizontal axis, whereas, “Inflation rate-year over year “ named field values are on the vertical axis.

    Be that as it may, the chart shows that South Sudan’s inflation rate is on the lower negative scale. In the opposite side, Lebanon’s inflation rate is at the highest level after Zimbabwe.

  4. T

    Turkey Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 3, 2025
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    TRADING ECONOMICS (2025). Turkey Inflation Rate [Dataset]. https://tradingeconomics.com/turkey/inflation-cpi
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1965 - Jun 30, 2025
    Area covered
    Türkiye
    Description

    Inflation Rate in Turkey decreased to 35.05 percent in June from 35.41 percent in May of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. J

    Are financial spreads useful indicators of future inflation and output...

    • journaldata.zbw.eu
    .df, txt
    Updated Dec 8, 2022
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    E. Philip Davis; Gabriel Fagan; E. Philip Davis; Gabriel Fagan (2022). Are financial spreads useful indicators of future inflation and output growth in EU countries? (replication data) [Dataset]. http://doi.org/10.15456/jae.2022313.1256928381
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    txt(4582), .df(28757), .df(4507)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    E. Philip Davis; Gabriel Fagan; E. Philip Davis; Gabriel Fagan
    License

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

    Area covered
    European Union
    Description

    This paper seeks to address the policy issue of the usefulness of financial spreads as indicators of future inflation and output growth in the countries of the European Union, placing a particular focus on out-of-sample forecasting performance. Such analysis is of considerable relevance to monetary authorities, given the breakdown of the money/income relation in a number of countries and following increased emphasis of domestic monetary policy on control of inflation following the broadening of the ERM bands. The results confirm that for some countries, financial spread variables do contain some information about future output growth and inflation, with the yield curve and the reverse yield gap performing best. However, the relatively poor out-of-sample forecasting performance and/or parameter instability suggests that the need for caution in using spread variables for forecasting in EU countries. Only a small number of spreads contain information, and improve forecasting in a manner which is stable over time.

  6. Inflation Nowcasting

    • clevelandfed.org
    json
    Updated Mar 10, 2017
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    Federal Reserve Bank of Cleveland (2017). Inflation Nowcasting [Dataset]. https://www.clevelandfed.org/indicators-and-data/inflation-nowcasting
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    jsonAvailable download formats
    Dataset updated
    Mar 10, 2017
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

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

    Description

    The Federal Reserve Bank of Cleveland provides daily “nowcasts” of inflation for two popular price indexes, the price index for personal consumption expenditures (PCE) and the Consumer Price Index (CPI). These nowcasts give a sense of where inflation is today. Released each business day.

  7. T

    Taiwan Inflation Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Taiwan Inflation Rate [Dataset]. https://tradingeconomics.com/taiwan/inflation-cpi
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    json, xml, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1960 - Jun 30, 2025
    Area covered
    Taiwan
    Description

    Inflation Rate in Taiwan decreased to 1.37 percent in June from 1.55 percent in May of 2025. This dataset provides the latest reported value for - Taiwan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. Inflation rate in Ghana 2030

    • statista.com
    Updated May 15, 2025
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    Statista (2025). Inflation rate in Ghana 2030 [Dataset]. https://www.statista.com/statistics/447576/inflation-rate-in-ghana/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ghana
    Description

    In 2021, the inflation rate in Ghana amounted to about 9.98 percent compared to the previous year. Ghana’s inflation peaked at almost 17.5 percent in 2016 and is predicted to decrease to 8 percent by 2030. Steady is best for inflationAccording to economists, a steady inflation rate between two and three percent is desirable to achieve a stable economy in a country. Inflation is the increase in the price level of consumer goods and services over a certain time period. A high inflation rate is often caused by excessive money supply and can turn into hyperinflation, i.e. if inflation occurs too quickly and rapidly, it can devalue currency and cause a recession and even economic collapse. This scenario is currently taking place in Venezuela , for example. The opposite of inflation, the decrease in the price level of goods and services below zero percent, is called deflation. While hyperinflation devalues money, deflation usually increases its value. Both events can damage an economy severely. Is Ghana’s economy at risk?Ghana’s economy is considered quite stable and fast-growing, and is rich in oil, diamonds, and gold. After struggling in the years around 2015 due to increased government spending and plummeting oil prices, it is now on an upswing again. This is also reflected in the decreasing inflation rate, and other key indicators like unemployment and rapid GDP growth support this theory. However, Ghana’s government debt is still struggling with the consequences of the 2015 crisis and forecast to keep skyrocketing during the next few years.

  9. T

    China Inflation Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 2, 2025
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    TRADING ECONOMICS (2025). China Inflation Rate [Dataset]. https://tradingeconomics.com/china/inflation-cpi
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1986 - Jun 30, 2025
    Area covered
    China
    Description

    Inflation Rate in China increased to 0.10 percent in June from -0.10 percent in May of 2025. This dataset provides - China Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. Monthly reverse repo rate of Bank Indonesia 2023

    • statista.com
    Updated Aug 5, 2024
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    Statista (2024). Monthly reverse repo rate of Bank Indonesia 2023 [Dataset]. https://www.statista.com/statistics/1209720/bank-indonesia-monthly-reverse-repo-rate/
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    Dataset updated
    Aug 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Indonesia
    Description

    In December 2023, the reverse repo rate for Bank Indonesia was six percent, the highest rate it had been since October 2016. Due to anticipation of inflation, this increase was made to strengthen the framework for monetary operations.

  11. T

    Nigeria Inflation Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 16, 2025
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    TRADING ECONOMICS (2025). Nigeria Inflation Rate [Dataset]. https://tradingeconomics.com/nigeria/inflation-cpi
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1996 - May 31, 2025
    Area covered
    Nigeria
    Description

    Inflation Rate in Nigeria decreased to 22.97 percent in May from 23.71 percent in April of 2025. This dataset provides - Nigeria Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. T

    Egypt Inflation Rate

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 4, 2025
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    TRADING ECONOMICS (2025). Egypt Inflation Rate [Dataset]. https://tradingeconomics.com/egypt/inflation-cpi
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1958 - Jun 30, 2025
    Area covered
    Egypt
    Description

    Inflation Rate in Egypt decreased to 14.90 percent in June from 16.80 percent in May of 2025. This dataset provides - Egypt Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. CPI in Mexico 2024, by expenditure category

    • statista.com
    • ai-chatbox.pro
    Updated Nov 21, 2024
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    Statista (2024). CPI in Mexico 2024, by expenditure category [Dataset]. https://www.statista.com/statistics/1320204/consumer-price-index-mexico-by-group/
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024
    Area covered
    Mexico
    Description

    The National Consumer Price Index gauges the price changes in a basket of goods and services representative of Mexican households' consumption. In July 2024, CPI stood at 136 index points, indicating a decrease of 1.05 percentage points in consumer prices compared to the previous month. When breaking it down by groups, it can be seen that food, beverages, and tobacco was the category with the highest CPI at 158.34 index points as of July 2024. On the opposite side, communications had a CPI of 90.06 index points, representing a price decrease.

  14. f

    Lag selection of under-developed countries.

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Muhammad Usman Arshad; Zeeshan Ahmed; Ayesha Ramzan; Muhammad Nadir Shabbir; Zahid Bashir; Fahad Najeeb Khan (2023). Lag selection of under-developed countries. [Dataset]. http://doi.org/10.1371/journal.pone.0261337.t009
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Muhammad Usman Arshad; Zeeshan Ahmed; Ayesha Ramzan; Muhammad Nadir Shabbir; Zahid Bashir; Fahad Najeeb Khan
    License

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

    Description

    Lag selection of under-developed countries.

  15. f

    Estimation of the contemporaneous coefficient of developed countries.

    • figshare.com
    xls
    Updated Jun 3, 2023
    + more versions
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    Muhammad Usman Arshad; Zeeshan Ahmed; Ayesha Ramzan; Muhammad Nadir Shabbir; Zahid Bashir; Fahad Najeeb Khan (2023). Estimation of the contemporaneous coefficient of developed countries. [Dataset]. http://doi.org/10.1371/journal.pone.0261337.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Muhammad Usman Arshad; Zeeshan Ahmed; Ayesha Ramzan; Muhammad Nadir Shabbir; Zahid Bashir; Fahad Najeeb Khan
    License

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

    Description

    Estimation of the contemporaneous coefficient of developed countries.

  16. f

    Data from: Degree of organization of the economy and macroeconomic...

    • scielo.figshare.com
    tiff
    Updated May 31, 2023
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    CÉSAR COSTA ALVES DE MATTOS (2023). Degree of organization of the economy and macroeconomic performance [Dataset]. http://doi.org/10.6084/m9.figshare.23259348.v1
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    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    CÉSAR COSTA ALVES DE MATTOS
    License

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

    Description

    Abstract This article discusses the question of the relationship between the degree of centralization of the price-decision-making process of economic agents and the inflation rate. There are compared in a theoretical model, the conventional wisdom that postulates a positive relationship between the two variables, the so-called “neo-corporativist” vision that puts exactly the opposite conclusions, and an alternative conciliating the other two that will be our principal focus. We will also analyse the behavior of organizations in the economy based on the Olson work, taking some interesting implications to the model. It’s put in perspective the question of the Brazilian union organization based on the model.

  17. T

    Indonesia Interest Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 21, 2025
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    TRADING ECONOMICS (2025). Indonesia Interest Rate [Dataset]. https://tradingeconomics.com/indonesia/interest-rate
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Nov 1, 2005 - Jun 18, 2025
    Area covered
    Indonesia
    Description

    The benchmark interest rate in Indonesia was last recorded at 5.50 percent. This dataset provides - Indonesia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. d

    The disruption index suffers from citation inflation and is confounded by...

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Feb 5, 2025
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    Alexander Petersen (2025). The disruption index suffers from citation inflation and is confounded by shifts in scholarly citation practice: synthetic citation networks for bibliometric null models [Dataset]. http://doi.org/10.6071/M3G674
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Alexander Petersen
    Time period covered
    Jan 1, 2023
    Description

    We demonstrate that the disruption index (CD) recently applied to publication and patent citation networks by Park et al. (Nature, 2023) systematically decreases over time due to secular growth in research and patent production, following two distinct mechanisms unrelated to innovation – the first structural and the second behavioral. The structural explanation follows from ‘citation inflation’ (CI) (Petersen et al., Research Policy, 2018), an inextricable feature of real citation networks. One driver of CI is the ever-increasing length of reference lists, which causes the CD index to systematically decrease. The behavioral explanation reflects shifts in scholarly citation practice (e.g. self-citation) that increase the rate of triadic closure in citation networks and confounds efforts to measure disruptive innovation using CD. Combined, these two mechanisms render CD unsuitable for cross-temporal analysis, and call into question the interpretations provided by Park et al., The enclosed supporting data accompanies the following research articles:

    Alexander M. Petersen, Felber Arroyave, Fabio Pammolli (2025). The disruption index suffers from citation inflation: re-analysis of temporal CD trend and relationship with team size reveal discrepancies. J. Informetrics 19, 101605 (2025). DOI:10.1016/j.joi.2024.101605

    Alexander M. Petersen, Felber Arroyave, Fabio Pammolli (2024). The disruption index is biased by citation inflation. Quantitative Science Studies (2024). DOI:10.1162/qss_a_00333

    Enclosed data were generated using a synthetic citation network model developed and reported in: Pan, R. K., Petersen, A. M., Pammolli, F. & Fortunato, S. The memory of science: Inflation, myopia, and the knowledge network. Journal of Informetrics 12, 656–678 (2018). To summarize, provided are raw network data produced for 6 citation network scenarios. For each scenario, we include 4 synthetic networks each, for a total of 24 citation networks. Each citation network i..., Enclosed code was developed using Mathematica 13 software, which should be backwards compatible with previous versions since the notebooks do not use any new functionality introduced in v13., # The disruption index suffers from citation inflation and is confounded by shifts in scholarly citation practice: synthetic citation networks for bibliometric null models

    https://doi.org/10.6071/M3G674

    Description of the data and file structure

    Enclosed data were generated using a synthetic citation network model developed and reported in: Pan, R. K., Petersen, A. M., Pammolli, F. & Fortunato, S. The memory of science: Inflation, myopia, and the knowledge network. Journal of Informetrics 12, 656–678 (2018). Data and their description are provided in the enclosed document: ReadMe_DataDescription.pdf. Provided are raw network data produced for 6 citation network scenarios. For each scenario we include 4 synthetic networks each, for a total of 24 citation networks. Each citation network is comprised of 125270 nodes that were systematically added in cohorts, therefore representing null model for evolving citation networks, and thereby useful for ...

  19. Most important issues facing Britain 2020-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
    + more versions
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    Statista (2025). Most important issues facing Britain 2020-2025 [Dataset]. https://www.statista.com/statistics/886366/issues-facing-britain/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2018 - Jun 2025
    Area covered
    United Kingdom
    Description

    The economy was seen by 49 percent of people in the UK as one of the top three issues facing the country in June 2025. The ongoing cost of living crisis afflicting the UK, driven by high inflation, is still one of the main concerns of Britons. Immigration has generally been the second most important issue since the middle of 2024, just ahead of health, which was seen as the third-biggest issue in the most recent month. Labour's popularity continues to sink in 2025 Despite winning the 2024 general election with a strong majority, the new Labour government has had its share of struggles since coming to power. Shortly after taking office, the approval rating for Labour stood at -2 percent, but this fell throughout the second half of 2024, and by January 2025 had sunk to a new low of -47 percent. Although this was still higher than the previous government's last approval rating of -56 percent, it is nevertheless a severe review from the electorate. Among several decisions from the government, arguably the least popular was the government withdrawing winter fuel payments. This state benefit, previously paid to all pensioners, is now only paid to those on low incomes, with millions of pensioners not receiving this payment in winter 2024. Sunak's pledges fail to prevent defeat in 2024 With an election on the horizon, and the Labour Party consistently ahead in the polls, addressing voter concerns directly was one of the best chances the Conservatives had of staying in power in 2023. At the start of that year, Rishi Sunak attempted to do this by setting out his five pledges for the next twelve months; halve inflation, grow the economy, reduce national debt, cut NHS waiting times, and stop small boats. A year later, Sunak had at best only partial success in these aims. Although the inflation rate fell, economic growth was weak and even declined in the last two quarters of 2023, although it did return to growth in early 2024. National debt was only expected to fall in the mid to late 2020s, while the trend of increasing NHS waiting times did not reverse. Small boat crossings were down from 2022, but still higher than in 2021 or 2020. .

  20. Amount of currency annually issued in China up to 2024

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). Amount of currency annually issued in China up to 2024 [Dataset]. https://www.statista.com/statistics/458737/china-amount-of-currency-issued/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, China’s monetary authority, the People’s Bank of China, issued more than ** trillion yuan which was the highest amount issued in one year so far. Over the past years, the value of printed money increased steadily. The issuing of currency was one function of a central bank. Maintaining price stability One of the main policy objectives of the People’s Bank of China was to maintain price stability. Typically, countries set the desired inflation target and the central bank implements the necessary policies to achieve the said target. Usually, China keeps its inflation target at around ***** percent, but in 2021, the inflation rate dropped to under *** percent. If the inflation rate is too low, central banks can issue more currency and decrease the interest rate. In the opposite scenario, if the inflation rate is too high central banks try to reduce the amount of money in circulation by increasing the interest rate or decreasing bond prices. Managing the economy In capitalist market economies, economies usually undergo a boom and bust cycle. Central banks attempt to counteract this cyclical development to soften the impact for its citizens. For instance, the Chinese government aims to maintain an unemployment rate of around **** percent. However, crises such as the 2008 financial crisis and the outbreak of COVID-19 have an unforeseen impact on the economy. To lower the employment rate, the People’s Bank engaged specific monetary policies to stimulate the economy with the aim of increasing job creation.

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Statista (2025). Impact of inflation on online shopping returns in the U.S. 2022, by age group [Dataset]. https://www.statista.com/statistics/1372619/united-states-inflation-online-shopping-returns/
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Impact of inflation on online shopping returns in the U.S. 2022, by age group

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Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Sep 8, 2022 - Sep 19, 2022
Area covered
United States
Description

A 2022 survey revealed that even in times of inflation, most U.S. online shoppers have returned about the same proportion of purchases as before the current inflationary environment. Still, more than *** in *** respondents in the *** youngest age groups reported returning a higher percentage of online purchases due to economic pressure.

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