75 datasets found
  1. Global inflation rate from 2000 to 2030

    • statista.com
    • ai-chatbox.pro
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    Statista, Global inflation rate from 2000 to 2030 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    Worldwide
    Description

    Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

  2. É

    Inflation, annual around the world | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Mar 29, 2024
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    Globalen LLC (2024). Inflation, annual around the world | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/rankings/inflation_annual/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    Mar 29, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    2025
    Area covered
    Monde
    Description

    Inflation in the table below is defined as the percent change in the CPI from the same month last year. The first column of numbers shows the latest value available from the national authorities and the next two columns show the levels of annual inflation three months and one year prior to the latest release. The data are updated daily. Over long stretches of time - typically years - inflation is a byproduct of the expansion of money supply. In the short run the inflation rate fluctuates with economic growth as recessions slow down the increase in prices and rapid output growth accelerates it. Shits in exchange rates, commodity prices, and natural phenomena like droughts also have an impact. Over time, however, these factors have only a transitory effect and the only variable that matters is money supply growth. The control of inflation is delegated to central banks that typically try to balance between relatively low inflation and low unemployment. For more, you can read our articles about optimal inflation and the causes of inflation in the short run and the long run.

  3. Impact of inflation on economy in Norway 2024

    • statista.com
    Updated Sep 27, 2024
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    Statista (2024). Impact of inflation on economy in Norway 2024 [Dataset]. https://www.statista.com/statistics/1331663/impact-inflation-economy-norway/
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    Dataset updated
    Sep 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Norway
    Description

    In the third quarter of 2024, half of Norwegian companies had problems with increasing purchase prices as a result of rising inflation seen around the world. Moreover, more than 40 percent faced problems due to an unstable economic framework. On the other hand, only 10 percent had issues with lack of credits or financing. As a consequence of the COVID-19 pandemic, as well as the Russian War in Ukraine that started in February 2022, inflation has been surging worldwide. For more information about inflation in the Nordic countries, please visit our dedicated topic page.

  4. Inflation rate in Argentina 2030

    • statista.com
    Updated May 21, 2025
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    Statista (2025). Inflation rate in Argentina 2030 [Dataset]. https://www.statista.com/statistics/316750/inflation-rate-in-argentina/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Argentina
    Description

    Inflation in Argentina was 54 percent in 2019, before falling to 42 percent in 2020. Despite Argentina's fluctuating economic instability over the twentieth century, the largest factor in its current economic status is the legacy of poor fiscal discipline left by the economic depression from 1998 to 2002. Although data is not available from 2014 to 2016, Argentina's inflation rate has been among the highest in the world for the past five years.

    What causes inflation?

    Inflation is a rise in price levels for all goods. Major causes of inflation include an increase in money supply, low central bank interest rates, and expectation of inflation. In a country such as Argentina, the expectation can be one of the biggest obstacles. People expect inflation to be high and demand increasing wages, and firms continue raising prices because they expect the costs of inputs to increase. Banks follow suit, charging high interest rates on fixed deposits.

    Effects of inflation

    Inflation negatively affects savers. 100 Argentinian pesos in 2018 was worth just under 75 pesos in 2019, after adjusting for the 34 percent inflation rate. Similarly, frequently changing prices has its own inherent cost, called “menu cost” after the price of printing new menus. Inflation will also have a positive effect on national debt when that debt is denominated in Argentinian pesos, because the pesos will be cheaper when the loan matures. However, the majority of Argentina’s debts are in foreign currency, which means that inflation will make these debts larger in peso terms.

  5. T

    Russia Inflation Rate

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 13, 2025
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    TRADING ECONOMICS (2025). Russia Inflation Rate [Dataset]. https://tradingeconomics.com/russia/inflation-cpi
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Aug 13, 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
    Dec 31, 1991 - Jul 31, 2025
    Area covered
    Russia
    Description

    Inflation Rate in Russia decreased to 8.80 percent in July from 9.40 percent in June of 2025. This dataset provides - Russia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. Shoe-Leather Costs of Inflation and Policy Credibility

    • icpsr.umich.edu
    Updated Apr 30, 1999
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    Pakko, Michael R. (1999). Shoe-Leather Costs of Inflation and Policy Credibility [Dataset]. http://doi.org/10.3886/ICPSR01197.v1
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    Dataset updated
    Apr 30, 1999
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Pakko, Michael R.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1197/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1197/terms

    Area covered
    United States
    Description

    Inflation can cause costly misallocations of resources as consumers seek to protect the purchasing power of their nominal assets. This research deals with the nature of these distortions, known as "shoe-leather costs," in a model where the demand for money is motivated by a shopping-time constraint. While the estimates of the shoe-leather costs of long-run inflation (implied by this model) are generally consistent with previous studies, the research shows that the transition between inflation rates can involve dynamics that alter the nature of these welfare effects. Specifically, the benefits of a disinflation policy are mitigated by the gradual adjustment of the economy in response to a lower inflation rate. This transition can be particularly protracted when there is uncertainty about the credibility of the disinflation policy.

  7. 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 - Jul 31, 2025
    Area covered
    Türkiye
    Description

    Inflation Rate in Turkey decreased to 33.52 percent in July from 35.05 percent in June 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.

  8. Impact of the cost of living crisis on domestic travel plans in the UK 2025

    • statista.com
    Updated Jan 30, 2025
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    Statista Research Department (2025). Impact of the cost of living crisis on domestic travel plans in the UK 2025 [Dataset]. https://www.statista.com/topics/9662/impact-of-inflation-on-travel-and-tourism-worldwide/
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    Dataset updated
    Jan 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In a January 2025 survey on domestic travel in the United Kingdom, 23 percent of respondents planned to book cheaper accommodation services in the next six months due to the cost of living crisis. Looking for more free activities and spending less on eating out were other popular strategies planned by domestic travelers to save money.

  9. T

    Bangladesh Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 8, 2025
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    TRADING ECONOMICS (2025). Bangladesh Inflation Rate [Dataset]. https://tradingeconomics.com/bangladesh/inflation-cpi
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    Aug 8, 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
    Jul 31, 1994 - Jul 31, 2025
    Area covered
    Bangladesh
    Description

    Inflation Rate in Bangladesh increased to 8.55 percent in July from 8.48 percent in June of 2025. This dataset provides the latest reported value for - Bangladesh Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. Inflation rate in Japan 2030

    • statista.com
    Updated Apr 25, 2025
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    Statista (2025). Inflation rate in Japan 2030 [Dataset]. https://www.statista.com/statistics/270095/inflation-rate-in-japan/
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    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2024, Japan had an average inflation rate estimated at 2.74 percent, marking the highest rate of inflation in Japan in almost a decade. However, this figure was still very low compared to most other major economies, such as Japan's fellow G7 members, four of which had inflation rates around six or seven percent in 2023 due to the global inflation crisis. Why is Japan's inflation rate lower? There are a number of contributing factors to Japan's relatively low inflation rate, even during economic crises. Japan eased its Covid restrictions more slowly than most other major economies, this prevented post-pandemic consumer spending that may have driven inflation through supply chain issues caused by higher demand. As the majority of Japan's food and energy comes from overseas, and has done so for decades, the government has mechanisms in place to prevent energy and wheat prices from rising too quickly. Because of this, Japan was able to shield its private sector from many of the negative knock on effects from Russia's invasion of Ukraine, which had a significant impact on both sectors globally. Persistent deflation and national debt An additional factor that has eased the impact of inflation on Japan's economy is the fact that it experienced deflation before the pandemic. Deflation has been a persistent problem in Japan since the asset price bubble burst in 1992, and has been symptomatic of Japan's staggering national debt thereafter. For almost 30 years, a combination of quantitative easing, low interest rates (below 0.5 percent since 1995, and at -0.1% since 2016), and a lack of spending due to low wages and an aging population have combined to give Japan the highest national debt in the world in absolute terms, and second-highest debt in relation to its GDP, after Venezuela. Despite this soaring debt, Japan remains the fourth-largest economy in the world, behind the U.S., China, and Germany.

  11. f

    Data from: Twenty-one years without monetary correction in Brazil: impacts...

    • scielo.figshare.com
    jpeg
    Updated May 31, 2023
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    Wellington Rodrigues Silva Souza; Marcos Peters; Aldy Fernandes da Silva; Maria Thereza Pompa Antunes (2023). Twenty-one years without monetary correction in Brazil: impacts on the comparability of the accounting information of siderurgical and metallurgical companies [Dataset]. http://doi.org/10.6084/m9.figshare.20025511.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Wellington Rodrigues Silva Souza; Marcos Peters; Aldy Fernandes da Silva; Maria Thereza Pompa Antunes
    License

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

    Area covered
    Brazil
    Description

    Abstract The purpose of this study was to empirically verify the existence or not of a distortion in the comparability of information when inflationary effects are omitted from financial statements. Although inflation has been under control in Brazil since the Plano Real, with indices well below those recorded in the 1980s and 1990s, discussing the need for accounting recognition of the effects of inflation remains an extremely relevant and pertinent issue in light of the proposal of accounting to produce faithful information that closely reflects the economic reality in which organizations operate. The results of the research show that financial accounting has been directly affected by the omission of inflationary effects in financial statements, drawing attention to the negative effects this has caused on the quality of the information produced. In order to operationalize the research, the Balance Sheet Monetary Correction (BSMC) was applied to the balance sheets of Brazilian companies from the siderurgical and metallurgical sector listed on the BM&FBOVESPA in the period from 1996 to 2016. Based on the variables net income, return on equity (ROE), and return on assets (ROA), and two conceptual axes of comparability (between entities and between periods), the statistical parameters were developed and the hypotheses were defined, which were tested using the Student t parametric test. This article shows the damage caused to the decision-making process of the external users for whom financial statements are intended when these are prepared neglecting the effects of inflation. This is verifiable through the analyses of the results obtained, including the observation of significant distortions between the means of the corrected indicators and the means of the historical indicators, such as in the case of net income in 2001, 2002, 2012, 2013, 2014, and 2016 (33.98%, 91.92%, -65.54%, -30.01%, -53.59%, and 26.30% variation, respectively), of ROE (-67.16%, -61.43%, -53.06%, -63.46%, -133.81%, and 65.00% variations in 2008, 2009, 2010, 2011, 2014, and 2015, respectively), and of ROA (-26,70%, -41.14%, -33,34%, -43,49%, 98,83%, and -413,68% in 2005, 2009, 2010, 2011, 2012, and 2014, respectively).

  12. T

    Ghana Inflation Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 1, 2015
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    TRADING ECONOMICS (2015). Ghana Inflation Rate [Dataset]. https://tradingeconomics.com/ghana/inflation-cpi
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Oct 1, 2015
    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
    Sep 30, 1998 - Jul 31, 2025
    Area covered
    Ghana
    Description

    Inflation Rate in Ghana decreased to 12.10 percent in July from 13.70 percent in June of 2025. This dataset provides - Ghana Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. Consumer prices; underlying inflation 2006 = 100, 2006 - 2015

    • cbs.nl
    • cloud.csiss.gmu.edu
    • +3more
    xml
    Updated Jun 16, 2016
    + more versions
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    Centraal Bureau voor de Statistiek (2016). Consumer prices; underlying inflation 2006 = 100, 2006 - 2015 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/71313eng
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    xmlAvailable download formats
    Dataset updated
    Jun 16, 2016
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table shows inflation, derived inflation and underlying inflation rates. Underlying inflation equals the inflation or derived inflation, excluding certain volatile items or series that are affected by factors other than general economic conditions, for example prices of fuel, vegetables, fruit and government taxes.

    Data available from: January 2006 till December 2015

    Status of the figures: The figures in this table are final.

    Changes as of 16 June 2016: None, this table is stopped.

    Changes as of 10 December 2015: On 1 October 2015, the points system for the pricing of rental homes was adjusted by the Dutch national government. As a direct consequence, rental prices of a limited number of dwellings were reduced, which had a downward effect on the average rental price. The effect of this decrease on the rental price indices and imputed rent value could not be determined in time because housing associations announced the impact of rent adjustments only in November. For this reason, the figures of the groups 04100 ‘Actual rentals for housing’ and 04200 ‘Imputed rent value’ over October 2015 have now been adjusted.

    The figures of the groups 061100 ‘Pharmaceutical products’, 061200 ‘Other medical products, equipment’, 072200 ‘Fuels and lubricants’ and 083000 ‘Telephone and internet services’ over the months June through September 2015 have been corrected. This has no impact on the headline indices.

    The derived CPI decreased by 0.01 index point over August 2015.

  14. Consumer Price Index 2021 - West Bank and Gaza

    • pcbs.gov.ps
    Updated May 18, 2023
    + more versions
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    Palestinian Central Bureau of Statistics (2023). Consumer Price Index 2021 - West Bank and Gaza [Dataset]. https://www.pcbs.gov.ps/PCBS-Metadata-en-v5.2/index.php/catalog/711
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    Dataset updated
    May 18, 2023
    Dataset authored and provided by
    Palestinian Central Bureau of Statisticshttp://pcbs.gov.ps/
    Time period covered
    2021
    Area covered
    Gaza Strip, Gaza, West Bank
    Description

    Abstract

    The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

    Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

    Geographic coverage

    Palestine West Bank Gaza Strip Jerusalem

    Analysis unit

    The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

    Universe

    The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

    Sampling deviation

    Not apply

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

    In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

    Cleaning operations

    The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

    At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

    Response rate

    Not apply

    Sampling error estimates

    The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

    Data appraisal

    Other technical procedures to improve data quality: Seasonal adjustment processes

  15. T

    Malawi Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 16, 2025
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    TRADING ECONOMICS (2025). Malawi Inflation Rate [Dataset]. https://tradingeconomics.com/malawi/inflation-cpi
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Jul 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, 2001 - Jun 30, 2025
    Area covered
    Malawi
    Description

    Inflation Rate in Malawi decreased to 27.10 percent in June from 27.70 percent in May of 2025. This dataset provides the latest reported value for - Malawi Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. f

    Data from: From Cruzado to Collor: Stabilization Plans and Agriculture

    • scielo.figshare.com
    tiff
    Updated May 31, 2023
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    GERVÁSIO CASTRO DE REZENDE (2023). From Cruzado to Collor: Stabilization Plans and Agriculture [Dataset]. http://doi.org/10.6084/m9.figshare.23259428.v1
    Explore at:
    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    GERVÁSIO CASTRO DE REZENDE
    License

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

    Description

    ABSTRACT This paper traces the macroeconomic roots of the current agricultural crisis. It shows that the increase in inflationary instability after 1986, and the policies adopted by the Government, since then, to fight hyperinflation, caused the terms of trade of agriculture to be- come much more unstable, at the same time that the Government pulled back the support they had been providing to agriculture; these adverse conditions ultimately caused the reduction of activity levels in agriculture in 1989 and 1990. The paper concludes by pointing out the implications for the current stabilization strategy.

  17. T

    Nigeria Food Inflation

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Nigeria Food Inflation [Dataset]. https://tradingeconomics.com/nigeria/food-inflation
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    csv, xml, json, 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
    Jan 31, 1996 - Jul 31, 2025
    Area covered
    Nigeria
    Description

    Cost of food in Nigeria increased 22.74 percent in July of 2025 over the same month in the previous year. This dataset provides - Nigeria Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. T

    Germany Inflation Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 13, 2025
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    TRADING ECONOMICS (2025). Germany Inflation Rate [Dataset]. https://tradingeconomics.com/germany/inflation-cpi
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Aug 13, 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, 1950 - Jul 31, 2025
    Area covered
    Germany
    Description

    Inflation Rate in Germany remained unchanged at 2 percent in July. This dataset provides the latest reported value for - Germany Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  19. T

    Egypt Inflation Rate

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Egypt Inflation Rate [Dataset]. https://tradingeconomics.com/egypt/inflation-cpi
    Explore at:
    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
    Jan 31, 1958 - Jul 31, 2025
    Area covered
    Egypt
    Description

    Inflation Rate in Egypt decreased to 13.90 percent in July from 14.90 percent in June of 2025. This dataset provides - Egypt Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. 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
    Explore at:
    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 - Jul 31, 2025
    Area covered
    Nigeria
    Description

    Inflation Rate in Nigeria decreased to 21.88 percent in July from 22.22 percent in June of 2025. This dataset provides - Nigeria Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Statista, Global inflation rate from 2000 to 2030 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
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Global inflation rate from 2000 to 2030

Explore at:
49 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 2025
Area covered
Worldwide
Description

Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

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