55 datasets found
  1. Global inflation rate from 2000 to 2029

    • statista.com
    Updated Jan 10, 2025
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    Statista (2025). Global inflation rate from 2000 to 2029 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
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    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024
    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. T

    Japan Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 21, 2025
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    TRADING ECONOMICS (2025). Japan Inflation Rate [Dataset]. https://tradingeconomics.com/japan/inflation-cpi
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 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
    Jan 31, 1958 - Feb 28, 2025
    Area covered
    Japan
    Description

    Inflation Rate in Japan decreased to 3.70 percent in February from 4 percent in January of 2025. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. F

    Inflation, consumer prices for the United States

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2024
    + more versions
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    (2024). Inflation, consumer prices for the United States [Dataset]. https://fred.stlouisfed.org/series/FPCPITOTLZGUSA
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    jsonAvailable download formats
    Dataset updated
    Sep 19, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2023 about consumer, CPI, inflation, price index, indexes, price, and USA.

  4. T

    Malaysia Inflation Rate

    • tradingeconomics.com
    • no.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Mar 21, 2025
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    TRADING ECONOMICS (2025). Malaysia Inflation Rate [Dataset]. https://tradingeconomics.com/malaysia/inflation-cpi
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Mar 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
    Jan 31, 1973 - Feb 28, 2025
    Area covered
    Malaysia
    Description

    Inflation Rate in Malaysia decreased to 1.50 percent in February from 1.70 percent in January of 2025. This dataset provides - Malaysia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. T

    Argentina Inflation Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +16more
    csv, excel, json, xml
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    TRADING ECONOMICS, Argentina Inflation Rate [Dataset]. https://tradingeconomics.com/argentina/inflation-cpi
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    xml, excel, csv, jsonAvailable 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, 1944 - Feb 28, 2025
    Area covered
    Argentina
    Description

    Inflation Rate in Argentina decreased to 66.90 percent in February from 84.50 percent in January of 2025. This dataset provides the latest reported value for - Argentina Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. U.S. annual inflation rate 1990-2023

    • statista.com
    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.

  7. T

    Thailand Inflation Rate

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 7, 2025
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    Thailand Inflation Rate [Dataset]. https://tradingeconomics.com/thailand/inflation-cpi
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 7, 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, 1977 - Feb 28, 2025
    Area covered
    Thailand
    Description

    Inflation Rate in Thailand decreased to 1.08 percent in February from 1.32 percent in January of 2025. This dataset provides the latest reported value for - Thailand Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. Quantitative Model Data – 100+ Economic Indicators, Inflation Data,...

    • datarade.ai
    .csv, .xls, .json
    Updated Aug 9, 2023
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    InfoTrie (2023). Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally [Dataset]. https://datarade.ai/data-products/infotrie-quantitative-data-100-economic-indicators-histor-infotrie
    Explore at:
    .csv, .xls, .jsonAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    InfoTrie Financial Solutions
    Authors
    InfoTrie
    Area covered
    Brunei Darussalam, Somalia, Ecuador, Chad, Tokelau, Mozambique, Marshall Islands, Uganda, Indonesia, Egypt
    Description

    We monitor and process economic data and financial indicators across 200+ global markets, covering inflation trends, bankruptcy filings, and consensus estimates with 100+ key data points for macroeconomic analysis, risk modeling, and investment strategies.

    1. Global Coverage – Track rates and forecasts with 20+ years of historical data and EOD/Ad-hoc refreshes, with volume caps available per region.
    2. Rich Data Set – Access inflation data, central bank reports, producer/consumer price indices, wages, and unemployment metrics for deep economic data insights.
    3. Bankruptcy & Distress Data – Monitor corporate bankruptcies, restructurings, credit defaults, and insolvency trends with sector-based distress signals.
    4. Consensus Estimates & Economic Forecasts – Leverage quantitative model data for analyst expectations, revenue projections, earnings, and macroeconomic forecasts.
    5. Seamless Integration – Retrieve structured data via API, SFTP, or bulk feeds, with customizable fields, frequency, and format flexibility for financial modeling.
    6. Trusted by Professionals – Used by hedge funds, economists, financial institutions, and quant researchers for market analysis, portfolio risk assessment, and economic forecasting.
    7. Secure & Compliant – Ensure risk-free integration with robust data security, regulatory compliance, and validated macroeconomic data sources.

    Gain deeper insights into global economic trends, financial distress, and forward-looking market expectations with InfoTrie’s Global Quantitative Model Data.

    Book a meeting here: https://calendar.app.google/4UEQVKsuSiTM4JxB8 to access inflation, bankruptcy, and consensus forecast data today

  9. I

    Indonesia Consumer Price Index: Bali: Information, Communication, and...

    • ceicdata.com
    Updated Jan 9, 2024
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    CEICdata.com (2024). Indonesia Consumer Price Index: Bali: Information, Communication, and Financial Service [Dataset]. https://www.ceicdata.com/en/indonesia/consumer-price-index-by-province-bali
    Explore at:
    Dataset updated
    Jan 9, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Indonesia
    Description

    Consumer Price Index: Bali: Information, Communication, and Financial Service data was reported at 99.210 2022=100 in Feb 2025. This records a decrease from the previous number of 99.240 2022=100 for Jan 2025. Consumer Price Index: Bali: Information, Communication, and Financial Service data is updated monthly, averaging 99.595 2022=100 from Jan 2023 (Median) to Feb 2025, with 26 observations. The data reached an all-time high of 99.810 2022=100 in Dec 2023 and a record low of 99.210 2022=100 in Feb 2025. Consumer Price Index: Bali: Information, Communication, and Financial Service data remains active status in CEIC and is reported by Statistics of Bali Province. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB017: Consumer Price Index: by Province: Bali.

  10. H

    On the Explosive Nature of Hyper-Inflation Data [Dataset]

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    Updated Nov 26, 2009
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    Bent Nielsen (2009). On the Explosive Nature of Hyper-Inflation Data [Dataset] [Dataset]. http://doi.org/10.7910/DVN/ABJB7H
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 26, 2009
    Dataset provided by
    Harvard Dataverse
    Authors
    Bent Nielsen
    License

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

    Time period covered
    Dec 1990 - Jan 1994
    Area covered
    Yugoslavia
    Description

    Empirical analyses of Cagan’s money demand schedule for hyper-inflation have largely ignored the explosive nature of hyper-inflationary data. It is argued that this contributes to an (i) inability to model the data to the end of the hyper-inflation, and to (ii) discrepancies between “estimated” and “actual” inflation tax. Using data from the extreme Yugoslavian hyper-inflation it is shown that a linear analysis of levels of prices and money fails in addressing these issues even when the explosiveness is taken into account. The explanation is that log real money has random walk behaviour while the growth of log prices is explosive. A simple solution to these issues is found by replacing the conventional measure of inflation by the cost of holding money.

  11. T

    Pakistan Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Mar 3, 2025
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    TRADING ECONOMICS (2025). Pakistan Inflation Rate [Dataset]. https://tradingeconomics.com/pakistan/inflation-cpi
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Mar 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, 1957 - Feb 28, 2025
    Area covered
    Pakistan
    Description

    Inflation Rate in Pakistan decreased to 1.50 percent in February from 2.40 percent in January of 2025. This dataset provides the latest reported value for - Pakistan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. Food inflation rate per month India 2021-2025

    • statista.com
    Updated Mar 17, 2025
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    Statista (2025). Food inflation rate per month India 2021-2025 [Dataset]. https://www.statista.com/statistics/1288790/india-monthly-food-inflation-rate/
    Explore at:
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2021 - Jan 2025
    Area covered
    India
    Description

    The food inflation in India fell to around six percent year-on-year in January 2025. In 2024, the food inflation peaked in October at about 11 percent. Impact of inflation Inflation is a key economic indicator of an economy, influencing purchasing power, investments, and economic growth. The rise in food prices, which comprise about half of the consumer price index (CPI) basket, affects large sections of the Indian population. Supply chain disruptions, increased cost of production, global market dependency, weather conditions, and government policies on minimum support prices are some reasons leading to food inflation. TOP drivers of food inflation Price-sensitive vegetables viz. tomato, onion, and potato (TOP) were the leading drivers of food inflation as per the Economic Survey for the financial year 2025. Experts argue that price pressures are not mainly due to a shortfall in production but post-harvest losses, seasonal production, and regional dispersion in production.  

  13. S&P 500: A Bull or a Bear? (Forecast)

    • kappasignal.com
    Updated Apr 8, 2024
    + more versions
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    KappaSignal (2024). S&P 500: A Bull or a Bear? (Forecast) [Dataset]. https://www.kappasignal.com/2024/04/s-500-bull-or-bear.html
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    S&P 500: A Bull or a Bear?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  14. g

    HICP - inflation rate | gimi9.com

    • gimi9.com
    Updated Jul 30, 2004
    + more versions
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    (2004). HICP - inflation rate | gimi9.com [Dataset]. https://www.gimi9.com/dataset/eu_0ayfikleliftbmchmkj9g/
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    Dataset updated
    Jul 30, 2004
    Description

    Harmonised Indices of Consumer Prices (HICPs) are designed for international comparisons of consumer price inflation. HICP is used for example by the European Central Bank for monitoring of inflation in the Economic and Monetary Union and for the assessment of inflation convergence as required under Article 121 of the Treaty of Amsterdam. For the U.S. and Japan national consumer price indices are used in the table.

  15. T

    Turkey Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +15more
    csv, excel, json, xml
    Updated Mar 3, 2025
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    TRADING ECONOMICS (2025). Turkey Inflation Rate [Dataset]. https://tradingeconomics.com/turkey/inflation-cpi
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 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 - Feb 28, 2025
    Area covered
    Turkey
    Description

    Inflation Rate in Turkey decreased to 39.05 percent in February from 42.12 percent in January 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.

  16. I

    Indonesia Consumer Price Index: Singaraja: ICFS: Financial Service

    • ceicdata.com
    Updated Feb 8, 2024
    + more versions
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    CEICdata.com (2024). Indonesia Consumer Price Index: Singaraja: ICFS: Financial Service [Dataset]. https://www.ceicdata.com/en/indonesia/consumer-price-index-by-regency-and-municipality-bali--nusa-tenggara-singaraja/consumer-price-index-singaraja-icfs-financial-service
    Explore at:
    Dataset updated
    Feb 8, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Indonesia
    Variables measured
    Consumer Prices
    Description

    Consumer Price Index (CPI): Singaraja: ICFS: Financial Service data was reported at 100.000 2022=100 in Feb 2025. This stayed constant from the previous number of 100.000 2022=100 for Jan 2025. Consumer Price Index (CPI): Singaraja: ICFS: Financial Service data is updated monthly, averaging 100.000 2022=100 from Jan 2023 (Median) to Feb 2025, with 26 observations. The data reached an all-time high of 100.000 2022=100 in Feb 2025 and a record low of 100.000 2022=100 in Feb 2025. Consumer Price Index (CPI): Singaraja: ICFS: Financial Service data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IC085: Consumer Price Index: by Regency and Municipality: Bali & Nusa Tenggara: Singaraja.

  17. I

    Indonesia Consumer Price Index: East Kalimantan: Information, Communication,...

    • ceicdata.com
    + more versions
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    CEICdata.com, Indonesia Consumer Price Index: East Kalimantan: Information, Communication, and Financial Service (ICFS) [Dataset]. https://www.ceicdata.com/en/indonesia/consumer-price-index-by-province-east-kalimantan/consumer-price-index-east-kalimantan-information-communication-and-financial-service-icfs
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2023 - Dec 1, 2023
    Area covered
    Indonesia
    Description

    Consumer Price Index (CPI): East Kalimantan: Information, Communication, and Financial Service (ICFS) data was reported at 100.990 2018=100 in Dec 2023. This records an increase from the previous number of 100.920 2018=100 for Nov 2023. Consumer Price Index (CPI): East Kalimantan: Information, Communication, and Financial Service (ICFS) data is updated monthly, averaging 100.875 2018=100 from Jan 2020 (Median) to Dec 2023, with 48 observations. The data reached an all-time high of 101.490 2018=100 in Jun 2021 and a record low of 100.350 2018=100 in Apr 2020. Consumer Price Index (CPI): East Kalimantan: Information, Communication, and Financial Service (ICFS) data remains active status in CEIC and is reported by Statistics of Kalimantan Timur Province. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB023: Consumer Price Index: by Province: East Kalimantan.

  18. I

    Indonesia Consumer Price Index: Tanjung Municipality: Information,...

    • ceicdata.com
    Updated Mar 15, 2024
    + more versions
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    CEICdata.com (2024). Indonesia Consumer Price Index: Tanjung Municipality: Information, Communication, and Financial Service (ICFS) [Dataset]. https://www.ceicdata.com/en/indonesia/consumer-price-index-by-regency-and-municipality-kalimantan-tanjung/consumer-price-index-tanjung-municipality-information-communication-and-financial-service-icfs
    Explore at:
    Dataset updated
    Mar 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2023 - Dec 1, 2023
    Area covered
    Indonesia
    Variables measured
    Consumer Prices
    Description

    Consumer Price Index (CPI): Tanjung Municipality: Information, Communication, and Financial Service (ICFS) data was reported at 97.450 2018=100 in Dec 2023. This records an increase from the previous number of 97.400 2018=100 for Nov 2023. Consumer Price Index (CPI): Tanjung Municipality: Information, Communication, and Financial Service (ICFS) data is updated monthly, averaging 97.690 2018=100 from Jan 2020 (Median) to Dec 2023, with 48 observations. The data reached an all-time high of 100.200 2018=100 in Mar 2020 and a record low of 97.190 2018=100 in Aug 2023. Consumer Price Index (CPI): Tanjung Municipality: Information, Communication, and Financial Service (ICFS) data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IC107: Consumer Price Index: by Regency and Municipality: Kalimantan: Tanjung.

  19. I

    Indonesia Consumer Price Index: Central Sulawesi: Information,...

    • ceicdata.com
    + more versions
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    CEICdata.com, Indonesia Consumer Price Index: Central Sulawesi: Information, Communication, and Financial Service [Dataset]. https://www.ceicdata.com/en/indonesia/consumer-price-index-by-province-central-sulawesi/consumer-price-index-central-sulawesi-information-communication-and-financial-service-
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2023 - Dec 1, 2023
    Area covered
    Indonesia
    Description

    Consumer Price Index (CPI): Central Sulawesi: Information, Communication, and Financial Service data was reported at 100.330 2018=100 in Dec 2023. This records an increase from the previous number of 100.290 2018=100 for Nov 2023. Consumer Price Index (CPI): Central Sulawesi: Information, Communication, and Financial Service data is updated monthly, averaging 100.195 2018=100 from Jan 2019 (Median) to Dec 2023, with 60 observations. The data reached an all-time high of 102.430 2018=100 in Dec 2019 and a record low of 99.620 2018=100 in Feb 2021. Consumer Price Index (CPI): Central Sulawesi: Information, Communication, and Financial Service data remains active status in CEIC and is reported by Statistics of Sulawesi Tengah Province. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB026: Consumer Price Index: by Province: Central Sulawesi.

  20. I

    Indonesia Consumer Price Index: Tanjung: ICFS: Financial Service

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    CEICdata.com, Indonesia Consumer Price Index: Tanjung: ICFS: Financial Service [Dataset]. https://www.ceicdata.com/en/indonesia/consumer-price-index-by-regency-and-municipality-kalimantan-tanjung/consumer-price-index-tanjung-icfs-financial-service
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Indonesia
    Variables measured
    Consumer Prices
    Description

    Consumer Price Index (CPI): Tanjung: ICFS: Financial Service data was reported at 100.000 2022=100 in Feb 2025. This stayed constant from the previous number of 100.000 2022=100 for Jan 2025. Consumer Price Index (CPI): Tanjung: ICFS: Financial Service data is updated monthly, averaging 100.000 2022=100 from Jan 2023 (Median) to Feb 2025, with 26 observations. The data reached an all-time high of 100.000 2022=100 in Feb 2025 and a record low of 100.000 2022=100 in Feb 2025. Consumer Price Index (CPI): Tanjung: ICFS: Financial Service data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IC107: Consumer Price Index: by Regency and Municipality: Kalimantan: Tanjung.

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Statista (2025). Global inflation rate from 2000 to 2029 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
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Global inflation rate from 2000 to 2029

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42 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 2024
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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