100+ datasets found
  1. M

    India Inflation Rate (1960-2024)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). India Inflation Rate (1960-2024) [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/inflation-rate-cpi
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    india
    Description
    India inflation rate for 2024 was 4.95%, a 0.7% decline from 2023.
    <ul style='margin-top:20px;'>
    
    <li>India inflation rate for 2023 was <strong>5.65%</strong>, a <strong>1.05% decline</strong> from 2022.</li>
    <li>India inflation rate for 2022 was <strong>6.70%</strong>, a <strong>1.57% increase</strong> from 2021.</li>
    <li>India inflation rate for 2021 was <strong>5.13%</strong>, a <strong>1.49% decline</strong> from 2020.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  2. U.S. annual inflation rate 1990-2023

    • statista.com
    • ai-chatbox.pro
    Updated Aug 21, 2024
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    Statista (2024). U.S. annual inflation rate 1990-2023 [Dataset]. https://www.statista.com/statistics/191077/inflation-rate-in-the-usa-since-1990/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In economics, the inflation rate is a measure of the change in price of a basket of goods. The most common measure being the consumer price index. It is the percentage rate of change in price level over time, and also indicates the rate of decrease in the purchasing power of money. The annual rate of inflation for 2023, was 4.1 percent higher in the United States when compared to the previous year. More information on inflation and the consumer price index can be found on our dedicated topic page. Additionally, the monthly rate of inflation in the United States can be accessed here. Inflation and purchasing power Inflation is a key economic indicator, and gives economists and consumers alike a look at changes in prices in the wider economy. For example, if an average pair of socks costs 100 dollars one year and 105 dollars the following year, the inflation rate is five percent. This means the amount of goods an individual can purchase with a unit of currency has decreased. This concept is often referred to as purchasing power. The data presents the average rate of inflation in a year, whereas the monthly measure of inflation measures the change in prices compared with prices one year ago. For example, monthly inflation in the U.S. reached a peak in June 2022 at 9.1 percent. This means that prices were 9.1 percent higher than they were in June of 2021. The purchasing power is the extent to which a person has available funds to make purchases. The Big Mac Index has been published by The Economist since 1986 and exemplifies purchasing power on a global scale, allowing us to see note the differences between different countries currencies. Switzerland for example, has the most expensive Big Mac in the world, costing consumers 6.71 U.S. dollars as of July 2022, whereas a Big Mac cost 5.15 dollars in the United States, and 4.77 dollars in the Euro area. One of the most important tools in influencing the rate of inflation is interest rates. The Federal Reserve of the United States has the capacity to make changes to the federal interest rate . Changes to the rate of inflation are thought to be an imbalance between supply and demand. After COVID-19 related lockdowns came to an end there was a sudden increase in demand for goods and services with consumers having more funds than usual thanks to reduced spending during lockdown and government funded economic support. Additionally, supply-chain related bottlenecks also due to lockdowns around the world and the Russian invasion of Ukraine meant that there was a decrease in the supply of goods and services. By increasing the interest rate, the Federal Reserve aims to reduce spending, and thus bring demand back into balance with supply.

  3. Monthly inflation rate and Federal Reserve interest rate in the U.S....

    • ai-chatbox.pro
    • statista.com
    Updated Sep 11, 2024
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    Statista Research Department (2024). Monthly inflation rate and Federal Reserve interest rate in the U.S. 2018-2025 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F11586%2Fcentral-banks%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Sep 11, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The inflation rate in the United States declined significantly between June 2022 and March 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at 9.1 percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at 5.33 percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to 4.33 percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was 158.11 percent, up from 153.12 a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

  4. Inflation rate forecast for Romania considering the impact of COVID-19...

    • statista.com
    Updated Oct 28, 2024
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    Statista (2024). Inflation rate forecast for Romania considering the impact of COVID-19 2019-2021 [Dataset]. https://www.statista.com/statistics/1106097/covid-19-impact-inflation-rate-romania/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Romania
    Description

    Given the impact of the coronavirus (COVID-19) outbreak on the Romanian economy, it is expected that inflation will also be affected. Inflation is expected to increase from 3.3 percent to 3.5 percent in 2021.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  5. United States BIE: Productivity Effect on Price: Little or No Influence

    • ceicdata.com
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    CEICdata.com, United States BIE: Productivity Effect on Price: Little or No Influence [Dataset]. https://www.ceicdata.com/en/united-states/business-inflation-expectations-survey-price-change-factors/bie-productivity-effect-on-price-little-or-no-influence
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    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
    Feb 1, 2021 - Nov 1, 2023
    Area covered
    United States
    Variables measured
    Business Sentiment Survey
    Description

    United States BIE: Productivity Effect on Price: Little or Number Influence data was reported at 65.816 % in Nov 2023. This records a decrease from the previous number of 69.331 % for Aug 2023. United States BIE: Productivity Effect on Price: Little or Number Influence data is updated quarterly, averaging 68.010 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 79.949 % in Nov 2018 and a record low of 60.350 % in Nov 2014. United States BIE: Productivity Effect on Price: Little or Number Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

  6. T

    Sri Lanka Inflation Rate

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 30, 2025
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    TRADING ECONOMICS (2025). Sri Lanka Inflation Rate [Dataset]. https://tradingeconomics.com/sri-lanka/inflation-cpi
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jun 30, 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
    Sri Lanka
    Description

    Inflation Rate in Sri Lanka decreased by 0.60 percent in June from -0.70 percent in May of 2025. This dataset provides - Sri Lanka Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. T

    Nepal Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Nepal Inflation Rate [Dataset]. https://tradingeconomics.com/nepal/inflation-cpi
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    json, csv, xml, excelAvailable 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
    Jul 31, 1964 - Jun 30, 2025
    Area covered
    Nepal
    Description

    Inflation Rate in Nepal decreased to 2.72 percent in June from 2.77 percent in May of 2025. This dataset provides the latest reported value for - Nepal Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. Inflation impact on Amazon Prime Day in the U.S. 2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Inflation impact on Amazon Prime Day in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/1281104/inflation-impact-on-amazon-prime-day-united-states/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 12, 2022 - Jul 13, 2022
    Area covered
    United States
    Description

    In the United States, almost *** in **** online shoppers profited from Amazon Prime Day deals to stock up on items that got more expensive because of inflation in 2022. According to a poll, over ********* of the surveyed U.S. consumers even waited for Amazon Prime in order to purchase a product at a lower price. Overall, the inflation rate had no effect on a limited share of consumers – less than ** percent.

  9. Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to...

    • plos.figshare.com
    • figshare.com
    tiff
    Updated May 30, 2023
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    B. Ian Hutchins; Xin Yuan; James M. Anderson; George M. Santangelo (2023). Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level [Dataset]. http://doi.org/10.1371/journal.pbio.1002541
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    B. Ian Hutchins; Xin Yuan; James M. Anderson; George M. Santangelo
    License

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

    Description

    Despite their recognized limitations, bibliometric assessments of scientific productivity have been widely adopted. We describe here an improved method to quantify the influence of a research article by making novel use of its co-citation network to field-normalize the number of citations it has received. Article citation rates are divided by an expected citation rate that is derived from performance of articles in the same field and benchmarked to a peer comparison group. The resulting Relative Citation Ratio is article level and field independent and provides an alternative to the invalid practice of using journal impact factors to identify influential papers. To illustrate one application of our method, we analyzed 88,835 articles published between 2003 and 2010 and found that the National Institutes of Health awardees who authored those papers occupy relatively stable positions of influence across all disciplines. We demonstrate that the values generated by this method strongly correlate with the opinions of subject matter experts in biomedical research and suggest that the same approach should be generally applicable to articles published in all areas of science. A beta version of iCite, our web tool for calculating Relative Citation Ratios of articles listed in PubMed, is available at https://icite.od.nih.gov.

  10. a

    Exchange Rate Fluctuations and Government Influence on the Economy: A...

    • afrischolarrepository.net.ng
    Updated Jan 12, 2024
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    (2024). Exchange Rate Fluctuations and Government Influence on the Economy: A Causality Survey (1970-2006) - Dataset - Afrischolar Discovery Initiative (ADI) [Dataset]. https://afrischolarrepository.net.ng/dataset/exchange-rate-fluctuations-and-government
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    Dataset updated
    Jan 12, 2024
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    Journal of Finance, Banking and Investment

  11. f

    Data from: THE INFLUENCE OF FINANCIALIZATION ON THE BRAZILIAN REAL INTEREST...

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
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    Luccas Assis Attilio (2023). THE INFLUENCE OF FINANCIALIZATION ON THE BRAZILIAN REAL INTEREST RATE [Dataset]. http://doi.org/10.6084/m9.figshare.14321570.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Luccas Assis Attilio
    License

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

    Description

    ABSTRACT This paper analyzes the real interest rate in Brazil. First, we define financialization as the major influence of the financial system on domestic politics. We use the proportion of the stock of federal public debt held by financial market agents as a proxy for financialization. Subsequently, we adopted the VEC methodology to perform cointegration and impulse-response analyses for the period 2007-2017. The results suggest that financialization had a positive effect on the real interest rate level.

  12. f

    Correlation between inflation and policy rates.

    • plos.figshare.com
    xls
    Updated Dec 11, 2023
    + more versions
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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. United States BIE: Labour Cost Effect on Price: Little or No Influence

    • ceicdata.com
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    CEICdata.com, United States BIE: Labour Cost Effect on Price: Little or No Influence [Dataset]. https://www.ceicdata.com/en/united-states/business-inflation-expectations-survey-price-change-factors/bie-labour-cost-effect-on-price-little-or-no-influence
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 1, 2021 - Nov 1, 2023
    Area covered
    United States
    Variables measured
    Business Sentiment Survey
    Description

    United States BIE: Labour Cost Effect on Price: Little or Number Influence data was reported at 13.035 % in Nov 2023. This records a decrease from the previous number of 18.833 % for Aug 2023. United States BIE: Labour Cost Effect on Price: Little or Number Influence data is updated quarterly, averaging 27.222 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 48.121 % in Feb 2012 and a record low of 10.256 % in May 2022. United States BIE: Labour Cost Effect on Price: Little or Number Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

  14. Rate Cuts: The Implications of Lowering Interest Rates for the UK Economy

    • ibisworld.com
    Updated Oct 1, 2024
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    IBISWorld (2024). Rate Cuts: The Implications of Lowering Interest Rates for the UK Economy [Dataset]. https://www.ibisworld.com/blog/uk-lowering-interest-rates/44/1126/
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    Dataset updated
    Oct 1, 2024
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Oct 1, 2024
    Area covered
    United Kingdom
    Description

    Following the BoE’s interest rate cut, explore the immediate impact on the UK economy and how finance professionals and businesses can navigate the prospect of future reductions.

  15. H

    Data from: The influence of regional minimum wages on unemployment rates in...

    • dataverse.harvard.edu
    Updated Mar 19, 2025
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    Aditya Ramadan; Ageng Teguh; Antonia Roselina; Luthfia Andriastuti; Ernoiz Antriyandarti (2025). The influence of regional minimum wages on unemployment rates in Indonesia: Multiple linear regression analysis [Dataset]. http://doi.org/10.7910/DVN/0M3EVP
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Aditya Ramadan; Ageng Teguh; Antonia Roselina; Luthfia Andriastuti; Ernoiz Antriyandarti
    License

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

    Area covered
    Indonesia
    Description

    Background: This study investigates the influence of regional minimum wages (RMW), gross domestic product (GDP), and inflation on Indonesia's unemployment rates from 2012 to 2020. Methods: Multiple linear regression analysis examines the relationships between these economic variables. Findings: The findings reveal that RMW significantly negatively affects unemployment rates, indicating that a 1% increase in the minimum wage leads to a 3.951% decrease in unemployment, ceteris paribus. GDP also exhibits a significant negative influence, aligning with Okun's law, which suggests an inverse relationship between economic growth and unemployment. In contrast, inflation does not significantly impact unemployment rates during the studied period. Collectively, the three variables positively and significantly affect Indonesia's unemployment rate, with an adjusted R-squared value of 0.749. This implies that 74.9% of the variation in unemployment can be explained by GDP, inflation, and minimum wages, while other factors account for the remaining 25.1%. Conclusion: The study highlights the complex interplay between these macroeconomic indicators and unemployment, providing insights for policymakers to develop effective strategies for managing employment challenges in Indonesia. Novelty/Originality of this article: This empirical analysis reveals the dynamic relationship between RMW, GDP, inflation, and unemployment in Indonesia (2012—2020). The findings provide an evidence-based basis for formulating more effective and responsive employment and economic policies for Indonesia's labour market conditions.

  16. United States BIE: Sales Level Effect on Price: Strong Upward Influence

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States BIE: Sales Level Effect on Price: Strong Upward Influence [Dataset]. https://www.ceicdata.com/en/united-states/business-inflation-expectations-survey-price-change-factors/bie-sales-level-effect-on-price-strong-upward-influence
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 1, 2021 - Nov 1, 2023
    Area covered
    United States
    Variables measured
    Business Sentiment Survey
    Description

    United States BIE: Sales Level Effect on Price: Strong Upward Influence data was reported at 2.980 % in Nov 2023. This records an increase from the previous number of 2.145 % for Aug 2023. United States BIE: Sales Level Effect on Price: Strong Upward Influence data is updated quarterly, averaging 2.737 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 6.068 % in May 2021 and a record low of 0.519 % in Nov 2017. United States BIE: Sales Level Effect on Price: Strong Upward Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

  17. United States BIE: Labour Cost Effect on Price: Moderate Upward Influence

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States BIE: Labour Cost Effect on Price: Moderate Upward Influence [Dataset]. https://www.ceicdata.com/en/united-states/business-inflation-expectations-survey-price-change-factors/bie-labour-cost-effect-on-price-moderate-upward-influence
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 1, 2021 - Nov 1, 2023
    Area covered
    United States
    Variables measured
    Business Sentiment Survey
    Description

    United States BIE: Labour Cost Effect on Price: Moderate Upward Influence data was reported at 60.837 % in Nov 2023. This records an increase from the previous number of 58.307 % for Aug 2023. United States BIE: Labour Cost Effect on Price: Moderate Upward Influence data is updated quarterly, averaging 55.881 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 64.945 % in Aug 2016 and a record low of 38.884 % in May 2022. United States BIE: Labour Cost Effect on Price: Moderate Upward Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

  18. f

    Decision of the hypothesis.

    • plos.figshare.com
    xls
    Updated Aug 8, 2024
    + more versions
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    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis (2024). Decision of the hypothesis. [Dataset]. http://doi.org/10.1371/journal.pone.0301829.t008
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    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis
    License

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

    Description

    Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

  19. Impact of price increases on the material situation of households in Poland...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Impact of price increases on the material situation of households in Poland 2023-2024 [Dataset]. https://www.statista.com/statistics/1452208/poland-impact-of-price-increases-on-the-material-situation/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Jun 2024
    Area covered
    Poland
    Description

    The number of people in Poland severely affected by the increase in product prices decreased in June 2024 compared to the same period last year, reaching ** percent.

  20. Inflation rate in Nepal 2030

    • statista.com
    Updated May 15, 2025
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    Statista (2025). Inflation rate in Nepal 2030 [Dataset]. https://www.statista.com/statistics/422594/inflation-rate-in-nepal/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nepal
    Description

    In 2019, the average inflation rate in Nepal was at 4.62 percent, a slight drop compared to the previous year. 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. Political and economic turmoilThe Nepalese economy is heavily influenced by the country’s political situation. It has made only slow progress in connecting with the global economy and improving the standard of living for its inhabitants but is now finally picking up speed. Nepal’s economy is not stable yet: Inflation is decreasing but all over the place – usually a sure sign of a struggling economy – and GDP growth is also not steady and forecast to decrease again in the future. Additionally, Nepal’s trade deficit seems to be in free fall. Move to the cityA quarter of Nepal’s, mostly rural, population is living below the poverty line, but Nepal is working on improving their outlook in the future. Today, agriculture contributes about a third to the country’s GDP, and a sizeable share of commodity exports consists of agricultural products – but already the lion’s share of Nepal’s GDP is generated by the services sector, like tourism and textiles. By shifting GDP generation to services, and consequently creating jobs in the cities and attracting more people to urban areas, Nepal might finally be able to stabilize its economy and provide better living standards for its inhabitants.

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MACROTRENDS (2025). India Inflation Rate (1960-2024) [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/inflation-rate-cpi

India Inflation Rate (1960-2024)

India Inflation Rate (1960-2024)

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csvAvailable download formats
Dataset updated
May 31, 2025
Dataset authored and provided by
MACROTRENDS
License

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

Area covered
india
Description
India inflation rate for 2024 was 4.95%, a 0.7% decline from 2023.
<ul style='margin-top:20px;'>

<li>India inflation rate for 2023 was <strong>5.65%</strong>, a <strong>1.05% decline</strong> from 2022.</li>
<li>India inflation rate for 2022 was <strong>6.70%</strong>, a <strong>1.57% increase</strong> from 2021.</li>
<li>India inflation rate for 2021 was <strong>5.13%</strong>, a <strong>1.49% decline</strong> from 2020.</li>
</ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
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