100+ 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. 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.

  3. w

    Monthly food price estimates by product and market - Myanmar

    • microdata.worldbank.org
    Updated Mar 21, 2025
    + more versions
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    Bo Pieter Johannes Andrée (2025). Monthly food price estimates by product and market - Myanmar [Dataset]. https://microdata.worldbank.org/index.php/catalog/4501
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2008 - 2025
    Area covered
    Myanmar
    Description

    Abstract

    Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

            A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
    

    Geographic coverage notes

    The data cover the following sub-national areas: Yangon, Rakhine, Shan (North), Kayin, Kachin, Shan (South), Mon, Tanintharyi, Mandalay, Kayah, Shan (East), Chin, Magway, Sagaing, Market Average

  4. w

    Monthly food price inflation estimates by country - Afghanistan, Armenia,...

    • microdata.worldbank.org
    Updated Mar 21, 2025
    + more versions
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    Bo Pieter Johannes Andrée (2025). Monthly food price inflation estimates by country - Afghanistan, Armenia, Bangladesh...and 33 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/4509
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2008 - 2025
    Area covered
    Armenia, Bangladesh...and 33 more, Afghanistan
    Description

    Abstract

    Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

    Geographic coverage notes

    The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.

  5. Volcker Shock: federal funds, unemployment and inflation rates 1979-1987

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Volcker Shock: federal funds, unemployment and inflation rates 1979-1987 [Dataset]. https://www.statista.com/statistics/1338105/volcker-shock-interest-rates-unemployment-inflation/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1979 - 1987
    Area covered
    United States
    Description

    The Volcker Shock was a period of historically high interest rates precipitated by Federal Reserve Chairperson Paul Volcker's decision to raise the central bank's key interest rate, the Fed funds effective rate, during the first three years of his term. Volcker was appointed chairperson of the Fed in August 1979 by President Jimmy Carter, as replacement for William Miller, who Carter had made his treasury secretary. Volcker was one of the most hawkish (supportive of tighter monetary policy to stem inflation) members of the Federal Reserve's committee, and quickly set about changing the course of monetary policy in the U.S. in order to quell inflation. The Volcker Shock is remembered for bringing an end to over a decade of high inflation in the United States, prompting a deep recession and high unemployment, and for spurring on debt defaults among developing countries in Latin America who had borrowed in U.S. dollars.

    Monetary tightening and the recessions of the early '80s

    Beginning in October 1979, Volcker's Fed tightened monetary policy by raising interest rates. This decision had the effect of depressing demand and slowing down the U.S. economy, as credit became more expensive for households and businesses. The Fed funds rate, the key overnight rate at which banks lend their excess reserves to each other, rose as high as 17.6 percent in early 1980. The rate was allowed to fall back below 10 percent following this first peak, however, due to worries that inflation was not falling fast enough, a second cycle of monetary tightening was embarked upon starting in August of 1980. The rate would reach its all-time peak in June of 1981, at 19.1 percent. The second recession sparked by these hikes was far deeper than the 1980 recession, with unemployment peaking at 10.8 percent in December 1980, the highest level since The Great Depression. This recession would drive inflation to a low point during Volcker's terms of 2.5 percent in August 1983.

    The legacy of the Volcker Shock

    By the end of Volcker's terms as Fed Chair, inflation was at a manageable rate of around four percent, while unemployment had fallen under six percent, as the economy grew and business confidence returned. While supporters of Volcker's actions point to these numbers as proof of the efficacy of his actions, critics have claimed that there were less harmful ways that inflation could have been brought under control. The recessions of the early 1980s are cited as accelerating deindustrialization in the U.S., as manufacturing jobs lost in 'rust belt' states such as Michigan, Ohio, and Pennsylvania never returned during the years of recovery. The Volcker Shock was also a driving factor behind the Latin American debt crises of the 1980s, as governments in the region defaulted on debts which they had incurred in U.S. dollars. Debates about the validity of using interest rate hikes to get inflation under control have recently re-emerged due to the inflationary pressures facing the U.S. following the Coronavirus pandemic and the Federal Reserve's subsequent decision to embark on a course of monetary tightening.

  6. CPI inflation rate for goods and services in the UK 2000-2025

    • statista.com
    • flwrdeptvarieties.store
    Updated Feb 20, 2025
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    Statista (2025). CPI inflation rate for goods and services in the UK 2000-2025 [Dataset]. https://www.statista.com/statistics/285202/rpi-goods-and-services/
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    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2000 - Jan 2025
    Area covered
    United Kingdom
    Description

    In January 2025, the UK inflation rate for goods was one percent and five percent for services. Prices for goods accelerated significantly, sharply between in 2021 and 2022 before falling in 2023. By comparison, prices for services initially grew at a more moderate rate, but have also not fallen as quickly. The overall CPI inflation rate for the UK reached a recent high of 11.1 percent in October 2022 and remained in double-figures until April 2023, when it fell to 8.7 percent. As of December 2024, the UK's inflation rate was 2.5 percent, down from 2.6 percent in the previous month. Sectors driving high inflation In late 2024, communication was the sector with the highest inflation rate, with prices increasing by 6.1 percent as of December 2024. During the recent period of high inflation that eased in 2023, food and energy prices were particular high, with housing and energy inflation far higher than in any other sector, peaking at 26.6 percent towards the end of 2022. High food and energy prices since 2021 have been one of the main causes of the cost of living crisis in the UK, especially for low-income households that spend a higher share of their income on these categories. This is likely one of the factors driving increasing food bank usage in the UK, which saw approximately 3.12 million people use a food bank in 2023/24, compared with 1.9 million just before the COVID-19 pandemic. The global inflation crisis The UK has not been alone in suffering rapid price increases since 2021. After the start of the COVID-19 pandemic, a series of economic and geopolitical shocks had a dramatic impact on the global economy. A global supply chain crisis failed to meet rising demand in 2021, leading to the beginning of an Inflation Crisis, which was only exacerbated by Russia's invasion of Ukraine in February 2022. The war directly influenced the prices of food and energy, as both countries were major exporters of important crops. European imports of hydrocarbons from Russia were also steadily reduced throughout 2022 and 2023, resulting in higher energy prices throughout the year.

  7. 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.

  8. M

    World Inflation Rate 1981-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
    + more versions
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    MACROTRENDS (2025). World Inflation Rate 1981-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/WLD/world/inflation-rate-cpi
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    csvAvailable download formats
    Dataset updated
    Feb 28, 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

    Time period covered
    Dec 31, 1981 - Mar 18, 2025
    Area covered
    World
    Description

    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.

  9. w

    Monthly energy price estimates by product and market - Lebanon

    • microdata.worldbank.org
    Updated Mar 21, 2025
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    Monthly energy price estimates by product and market - Lebanon [Dataset]. https://microdata.worldbank.org/index.php/catalog/6127
    Explore at:
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2012 - 2025
    Area covered
    Lebanon
    Description

    Abstract

    Energy price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes energy price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

    Geographic coverage notes

    The data cover the following sub-national areas: Akkar, Mount Lebanon, Baalbek-El Hermel, North, Beirut, Bekaa, El Nabatieh, South, Market Average

  10. U.S. projected Consumer Price Index 2010-2029

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. projected Consumer Price Index 2010-2029 [Dataset]. https://www.statista.com/statistics/244993/projected-consumer-price-index-in-the-united-states/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

  11. Inflation rate in Europe in December 2024, by country

    • flwrdeptvarieties.store
    • statista.com
    Updated Jan 17, 2025
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    Catalina Espinosa (2025). Inflation rate in Europe in December 2024, by country [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F13048%2Fliving-conditions-in-europe%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Catalina Espinosa
    Area covered
    Europe
    Description

    As of December 2024, the inflation rate in the European Union was 2.7 percent, with prices rising fastest in Romania, which had an inflation rate of 5.5 percent. By contrast, both Ireland and Italy saw low inflation rates during the same period, with Ireland having the lowest inflation rate in the EU during this month. The rate of inflation in the EU in the October 2022 was higher than at any other time, with the peak prior to 2021 recorded in July 2008 when prices were growing by 4.4 percent year-on-year. Before the recent rises in inflation, price rises in the EU had been kept at relatively low levels, with the inflation rate remaining below three percent between January 2012 and August 2021. Rapid recovery and energy costs driving inflation The reopening of the European economy in 2021 following the sudden shock of COVID-19 in 2020 is behind many of the factors that have caused prices to rise so quickly in 2022. Global supply chains have not yet recovered from production issues, travel restrictions, and workforce problems brought about by the pandemic. Rising energy costs have only served to exacerbate supply problems, particularly with regard to the transport sector, which had the highest inflation rate of any sector in the EU in December 2021. High inflation rates mirrored in the U.S. The high inflation rates seen in Europe have been reflected in other parts of the world. In the United States, for example, the consumer price index reached a 40-year-high of seven percent in December 2021, influenced by many of the same factors driving European inflation. Nevertheless, it is hoped that once these supply chain issues ease, inflation levels will start to fall throughout the course of 2022.

  12. 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.

  13. w

    Monthly energy price estimates by product and market - Afghanistan, Armenia,...

    • microdata.worldbank.org
    Updated Mar 21, 2025
    + more versions
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    Bo Pieter Johannes Andrée (2025). Monthly energy price estimates by product and market - Afghanistan, Armenia, Gambia, The...and 10 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/6134
    Explore at:
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2007 - 2025
    Area covered
    Armenia, The Gambia, Afghanistan
    Description

    Abstract

    Energy price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes energy price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

    Geographic coverage notes

    The data cover the following sub-national areas: Badakhshan, Badghis, Baghlan, Balkh, Bamyan, Daykundi, Farah, Faryab, Paktya, Ghazni, Ghor, Hilmand, Hirat, Nangarhar, Jawzjan, Kabul, Kandahar, Kapisa, Khost, Kunar, Kunduz, Laghman, Logar, Wardak, Nimroz, Nuristan, Paktika, Panjsher, Parwan, Samangan, Sar-e-pul, Takhar, Uruzgan, Zabul, Market Average, Lori, Ararat, Aragatsotn, Tavush, Gegharkunik, Shirak, Kotayk, Syunik, Armavir, Vayotz Dzor, Yerevan, Kanifing Municipal Council, Central River, Upper River, West Coast, North Bank, Lower River, Bafata, Tombali, Cacheu, Sector Autonomo De Bissau, Biombo, Oio, Gabu, Bolama, Quinara, Anbar, Babil, Baghdad, Basrah, Diyala, Dahuk, Erbil, Ninewa, Kerbala, Kirkuk, Missan, Muthanna, Najaf, Qadissiya, Salah al-Din, Sulaymaniyah, Thi-Qar, Wassit, Attapeu, Bokeo, Bolikhamxai, Champasack, Houaphan, Khammouan, Louangphabang, Louangnamtha, Oudomxai, Phongsaly, Salavan, Savannakhet, Sekong, Vientiane Capital, Vientiane, Xaignabouly, Xiengkhouang, Akkar, Mount Lebanon, Baalbek-El Hermel, North, Beirut, Bekaa, El Nabatieh, South, Nimba, Grand Kru, Grand Cape Mount, Gbarpolu, Grand Bassa, Rivercess, Montserrado, River Gee, Lofa, Bong, Sinoe, Maryland, Margibi, Grand Gedeh, Bomi, Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Zamfara, Lagos, Adamawa, Shabelle Hoose, Juba Hoose, Bay, Banadir, Shabelle Dhexe, Gedo, Hiraan, Woqooyi Galbeed, Awdal, Bari, Juba Dhexe, Togdheer, Nugaal, Galgaduud, Bakool, Sanaag, Mudug, Sool, , Warrap, Jonglei, Unity, Northern Bahr el Ghazal, Upper Nile, Central Equatoria, Western Bahr el Ghazal, Eastern Equatoria, Western Equatoria, Lakes, Aleppo, Dar'a, Quneitra, Homs, Deir-ez-Zor, Damascus, Ar-Raqqa, Al-Hasakeh, Hama, As-Sweida, Rural Damascus, Tartous, Idleb, Lattakia, Al Dhale'e, Aden, Al Bayda, Al Maharah, Lahj, Al Jawf, Raymah, Al Hudaydah, Hajjah, Amran, Shabwah, Dhamar, Ibb, Sana'a, Al Mahwit, Marib, Hadramaut, Sa'ada, Amanat Al Asimah, Socotra, Taizz, Abyan

  14. w

    Monthly energy price estimates by product and market - Somalia

    • microdata.worldbank.org
    Updated Mar 21, 2025
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    Bo Pieter Johannes Andrée (2025). Monthly energy price estimates by product and market - Somalia [Dataset]. https://microdata.worldbank.org/index.php/catalog/6130
    Explore at:
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2007 - 2025
    Area covered
    Somalia
    Description

    Abstract

    Energy price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes energy price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

    Geographic coverage notes

    The data cover the following sub-national areas: Shabelle Hoose, Juba Hoose, Bay, Banadir, Shabelle Dhexe, Gedo, Hiraan, Woqooyi Galbeed, Awdal, Bari, Juba Dhexe, Togdheer, Nugaal, Galgaduud, Bakool, Sanaag, Mudug, Sool, , Market Average

  15. U

    Inflation Data

    • dataverse-staging.rdmc.unc.edu
    • dataverse.unc.edu
    Updated Oct 9, 2022
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    Linda Wang; Linda Wang (2022). Inflation Data [Dataset]. http://doi.org/10.15139/S3/QA4MPU
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    Dataset updated
    Oct 9, 2022
    Dataset provided by
    UNC Dataverse
    Authors
    Linda Wang; Linda Wang
    License

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

    Description

    This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a...

  16. CPI annual inflation rate UK 2000-2029

    • flwrdeptvarieties.store
    • statista.com
    Updated Jan 29, 2025
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    Statista (2025). CPI annual inflation rate UK 2000-2029 [Dataset]. https://flwrdeptvarieties.store/?_=%2Fstatistics%2F306720%2Fcpi-rate-forecast-uk%2F%23zUpilBfjadnZ6q5i9BcSHcxNYoVKuimb
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    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2024, the annual inflation rate for the United Kingdom is expected to be 2.5 percent, following an annual rate of 7.3 percent in 2023, and 9.1 percent in 2022. Before 2022, the inflation rate was at its highest in 2011 when it reached 4.5 percent, and was lowest in 2015 when an annual inflation rate of zero percent was recorded. Inflation has been surging in the UK since late 2021, and reached a 41-year-high of 11.1 percent in October 2022. Since that recent peak, inflation has gradually subsided, and was four percent in January 2024. Inflation down but not out in 2024 Although there are some positive signals regarding UK inflation decelerating throughout 2023, prices are still rising at quite a fast rate, especially in certain sectors. Food inflation, for example, only fell below double-figures in November 2023, and was still rising by 6.9 percent in January 2024. As of that month, however, alcohol and tobacco prices were rising faster than any other sector, with an inflation rate of 12.4 percent. Additionally, underlying core inflation, which measures prices rises without food and energy, is slightly above the headline inflation rate, and was 5.1 percent as of the most recent month. With some aspects of inflation seemingly becoming embedded in the UK economy, this will likely prolong the current Cost of Living Crisis engulfing UK households. Inflation crisis across in the world in 2022 The UK has not been alone in suffering from runaway inflation over the last few years. From late 2021 onwards, various factors converged to encourage a global acceleration of prices, leading to the ongoing inflation crisis. Blocked-up supply chains were one of the main factors as the world emerged from the COVID-19 pandemic. This was followed by energy and food inflation skyrocketing after Russia's invasion of Ukraine. Central bank interest rates were raised globally in response to the problem, possibly putting an end to the era of cheap money that has defined monetary policy since the financial crash of 2008.

  17. F

    Producer Price Index by Industry: Motor Vehicle Steering and Suspension...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Motor Vehicle Steering and Suspension Components (Except Spring) Manufacturing: Primary Products [Dataset]. https://fred.stlouisfed.org/series/PCU336330336330P
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: Motor Vehicle Steering and Suspension Components (Except Spring) Manufacturing: Primary Products (PCU336330336330P) from Dec 2003 to Feb 2025 about cattle, livestock, primary, parts, vehicles, PPI, industry, inflation, price index, indexes, price, and USA.

  18. T

    Pakistan Food Inflation

    • tradingeconomics.com
    • no.tradingeconomics.com
    • +15more
    csv, excel, json, xml
    Updated Feb 15, 2025
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    TRADING ECONOMICS (2025). Pakistan Food Inflation [Dataset]. https://tradingeconomics.com/pakistan/food-inflation
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Feb 15, 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
    Sep 30, 2011 - Feb 28, 2025
    Area covered
    Pakistan
    Description

    Cost of food in Pakistan decreased 4.15 percent in February of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Pakistan Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  19. w

    Monthly food price estimates by product and market - Burkina Faso

    • microdata.worldbank.org
    Updated Mar 21, 2025
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    Monthly food price estimates by product and market - Burkina Faso [Dataset]. https://microdata.worldbank.org/index.php/catalog/4485
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2007 - 2025
    Area covered
    Burkina Faso
    Description

    Abstract

    Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

            A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
    

    Geographic coverage notes

    The data cover the following sub-national areas: SAHEL, CASCADES, SUD-OUEST, EST, BOUCLE DU MOUHOUN, CENTRE-NORD, PLATEAU-CENTRAL, HAUTS-BASSINS, CENTRE, NORD, CENTRE-SUD, CENTRE-OUEST, CENTRE-EST, Market Average

  20. w

    Monthly food price estimates by product and market - Bangladesh

    • microdata.worldbank.org
    Updated Mar 21, 2025
    + more versions
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    Monthly food price estimates by product and market - Bangladesh [Dataset]. https://microdata.worldbank.org/index.php/catalog/study/BGD_2021_RTFP_v02_M
    Explore at:
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2007 - 2025
    Area covered
    Bangladesh
    Description

    Abstract

    Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

            A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
    

    Geographic coverage notes

    The data cover the following sub-national areas: Khulna, Chittagong, Barisal, Rajshahi, Dhaka, Rangpur, Sylhet, Mymensingh, Market Average

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Close
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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/
Organization logo

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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