100+ datasets found
  1. T

    United States Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 11, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 11, 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, 1914 - May 31, 2025
    Area covered
    United States
    Description

    Inflation Rate in the United States increased to 2.40 percent in May from 2.30 percent in April of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. T

    Japan Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 9, 2025
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    TRADING ECONOMICS (2025). Japan Inflation Rate [Dataset]. https://tradingeconomics.com/japan/inflation-cpi
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jul 9, 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 - May 31, 2025
    Area covered
    Japan
    Description

    Inflation Rate in Japan decreased to 3.50 percent in May from 3.60 percent in April 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. J

    The global component of inflation volatility (replication data)

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt, zip
    Updated Dec 7, 2022
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    Andrea Carriero; Francesco Corsello; Massimiliano Marcellino; Andrea Carriero; Francesco Corsello; Massimiliano Marcellino (2022). The global component of inflation volatility (replication data) [Dataset]. http://doi.org/10.15456/jae.2022327.072333
    Explore at:
    txt(3439), zip(2270564)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Andrea Carriero; Francesco Corsello; Massimiliano Marcellino; Andrea Carriero; Francesco Corsello; Massimiliano Marcellino
    License

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

    Description

    Global developments play an important role for domestic inflation rates. Earlier literature has found that a substantial amount of the variation in a large set of national inflation rates can be explained by a single global factor. However, inflation volatility has been typically neglected, although it is clearly relevant both from a policy point of view and for structural analysis and forecasting. We study the evolution of inflation rates in several countries, using a novel model that allows for commonality in both levels and volatilities, in addition to country-specific components. We find that inflation volatility is indeed important, and a substantial fraction of it can be attributed to a global factor that is also driving inflation levels and their persistence. The extent of commonality among core inflation rates and volatilities is substantially smaller than for overall inflation, which leaves scope for national monetary policies. Finally, we show that the point and density forecasting performance of the model is good relative to standard benchmarks, which provides additional evidence on its reliability.

  4. World Happiness Index and Inflation Dataset

    • kaggle.com
    Updated Mar 26, 2025
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    Agra Fintech (2025). World Happiness Index and Inflation Dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/11174951
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Kaggle
    Authors
    Agra Fintech
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    World
    Description

    Context

    Happiness and well-being are essential indicators of societal progress, often influenced by economic conditions such as GDP and inflation. This dataset combines data from the World Happiness Index (WHI) and inflation metrics to explore the relationship between economic stability and happiness levels across 148 countries from 2015 to 2023. By analyzing key economic indicators alongside social well-being factors, this dataset provides insights into global prosperity trends.

    Content

    This dataset is provided in CSV format and includes 16 columns, covering both happiness-related features and economic indicators such as GDP per capita, inflation rates, and corruption perception. The main columns include:

    Happiness Score & Rank (World Happiness Index ranking per country) Economic Indicators (GDP per capita, inflation metrics) Social Factors (Freedom, Social Support, Generosity) Geographical Information (Country & Continent)

    Acknowledgements

    The dataset is created using publicly available data from World Happiness Report, Gallup World Poll, and the World Bank. It has been structured for research, machine learning, and policy analysis purposes.

    Inspiration

    How do economic factors like inflation, GDP, and corruption affect happiness? Can we predict a country's happiness score based on economic conditions? This dataset allows you to analyze these relationships and build models to predict well-being trends worldwide.

  5. T

    United States Core Inflation Rate

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 10, 2025
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    TRADING ECONOMICS (2025). United States Core Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/core-inflation-rate
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Apr 10, 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
    Feb 28, 1957 - May 31, 2025
    Area covered
    United States
    Description

    Core consumer prices in the United States increased 2.80 percent in May of 2025 over the same month in the previous year. This dataset provides - United States Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. Consumer price inflation tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jun 18, 2025
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    Office for National Statistics (2025). Consumer price inflation tables [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/consumerpriceinflation
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    xlsxAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Measures of monthly UK inflation data including CPIH, CPI and RPI. These tables complement the consumer price inflation time series dataset.

  7. International Macroeconomic Data Set

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +1more
    Updated Apr 21, 2025
    + more versions
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    Economic Research Service, Department of Agriculture (2025). International Macroeconomic Data Set [Dataset]. https://catalog.data.gov/dataset/international-macroeconomic-data-set
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Description

    The International Macroeconomic Data Set provides data from 1969 through 2030 for real (adjusted for inflation) gross domestic product (GDP), population, real exchange rates, and other variables for the 190 countries and 34 regions that are most important for U.S. agricultural trade. The data presented here are a key component of the USDA Baseline projections process, and can be used as a benchmark for analyzing the impacts of U.S. and global macroeconomic shocks.

  8. T

    Vietnam Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 5, 2025
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    TRADING ECONOMICS (2025). Vietnam Inflation Rate [Dataset]. https://tradingeconomics.com/vietnam/inflation-cpi
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jul 5, 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 - Jun 30, 2025
    Area covered
    Vietnam
    Description

    Inflation Rate in Vietnam increased to 3.57 percent in June from 3.24 percent in May of 2025. This dataset provides the latest reported value for - Vietnam Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  9. u

    Data from: Personal Inflation Calculator

    • zivahub.uct.ac.za
    xlsx
    Updated Aug 9, 2018
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    Darian Sagnelli (2018). Personal Inflation Calculator [Dataset]. http://doi.org/10.25375/uct.6882941.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Aug 9, 2018
    Dataset provided by
    University of Cape Town
    Authors
    Darian Sagnelli
    License

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

    Description

    Inflation rates experienced by different groups of consumers within a country vary. This is because the prices of goods and services and the expenditure patterns of consumers differ. The published inflation rate is used for important decisions regarding the preservation of consumer purchasing power. These include the adjustment of social grants and minimum wages by government and the benchmarking of returns by investors when making investment decisions. It is thus vital that inflation is measured accurately to ensure the purchasing power of consumers is preserved. Current measures of inflation published by Stats SA are applicable to typical consumers and are not relevant to each individual. This resource supplements a study that seeks to provide a publicly available model that can be used by consumers to calculate their personal rate of inflation.

  10. w

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

    • microdata.worldbank.org
    Updated Jul 9, 2025
    + more versions
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    Monthly food price inflation estimates by country - Afghanistan, Armenia, Bangladesh...and 33 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/4509
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2008 - 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.

    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.

  11. Consumer Price Index, annual average, not seasonally adjusted

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Jan 21, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index, annual average, not seasonally adjusted [Dataset]. http://doi.org/10.25318/1810000501-eng
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

  12. USA Bureau of Labor Statistics

    • kaggle.com
    zip
    Updated Aug 30, 2019
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    US Bureau of Labor Statistics (2019). USA Bureau of Labor Statistics [Dataset]. https://www.kaggle.com/bls/bls
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Aug 30, 2019
    Dataset authored and provided by
    US Bureau of Labor Statistics
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. Federal Statistical System. The BLS is a governmental statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the U.S. Congress, other Federal agencies, State and local governments, business, and labor representatives. Source: https://en.wikipedia.org/wiki/Bureau_of_Labor_Statistics

    Content

    Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.

    Update Frequency: Monthly

    Querying BigQuery Tables

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:bls

    https://cloud.google.com/bigquery/public-data/bureau-of-labor-statistics

    Dataset Source: http://www.bls.gov/data/

    This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by Clark Young from Unsplash.

    Inspiration

    What is the average annual inflation across all US Cities? What was the monthly unemployment rate (U3) in 2016? What are the top 10 hourly-waged types of work in Pittsburgh, PA for 2016?

  13. Inflation rate in Nigeria 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 15, 2025
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    Statista (2025). Inflation rate in Nigeria 2030 [Dataset]. https://www.statista.com/statistics/383132/inflation-rate-in-nigeria/
    Explore at:
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    Nigeria’s inflation has been higher than the average for African and Sub-Saharan countries for years now, and even exceeded 16 percent in 2017 – and a real, significant decrease is nowhere in sight. The bigger problem is its unsteadiness, however: An inflation rate that is bouncing all over the place, like this one, is usually a sign of a struggling economy, causing prices to fluctuate, and unemployment and poverty to increase. Nigeria’s economy - a so-called “mixed economy”, which means the market economy is at least in part regulated by the state – is not entirely in bad shape, though. More than half of its GDP is generated by the services sector, namely telecommunications and finances, and the country derives a significant share of its state revenues from oil.

    Because it got high

    To simplify: When the inflation rate rises, so do prices, and consequently banks raise their interest rates as well to cope and maintain their profit margin. Higher interest rates often cause unemployment to rise. In certain scenarios, rising prices can also mean more panicky spending and consumption among end users, causing debt and poverty. The extreme version of this is called hyperinflation: A rapid increase of prices that is out of control and leads to bankruptcies en masse, devaluation of money and subsequently a currency reform, among other things. But does that mean that low inflation is better? Maybe, but only to a certain degree; the ECB, for example, aspires to maintain an inflation rate of about two percent so as to keep the economy stable. As soon as we reach deflation territory, however, things are starting to look grim again. The best course is a stable inflation rate, to avoid uncertainty and rash actions.

    Nigeria today

    Nigeria is one of the countries with the largest populations worldwide and also the largest economy in Africa, with its economy growing rapidly after a slump in the aforementioned year 2017. It is slated to be one of the countries with the highest economic growth over the next few decades. Demographic key indicators, like infant mortality rate, fertility rate, and the median age of the population, all point towards a bright future. Additionally, the country seems to make big leaps forward in manufacturing and technological developments, and boasts huge natural resources, including natural gas. All in all, Nigeria and its inflation seem to be on the upswing – or on the path to stabilization, as it were.

  14. N

    Harrison Town, Waupaca County, Wisconsin households by income brackets:...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Harrison Town, Waupaca County, Wisconsin households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/research/datasets/8a15b44c-747c-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Wisconsin, Waupaca County
    Variables measured
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents a breakdown of households across various income brackets in Harrison Town, Waupaca County, Wisconsin, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Harrison Town, Waupaca County, Wisconsin reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Harrison town households based on income levels.

    Key observations

    • For Family Households: In Harrison town, the majority of family households, representing 33.78%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $100,000 to $124,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In Harrison town, the majority of non-family households, accounting for 18.67%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $100,000 to $124,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income Levels:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Harrison Town, Waupaca County, Wisconsin (As mentioned above).
    • All Households: Count of households for the specified income level
    • % All Households: Percentage of households at the specified income level relative to the total households in Harrison Town, Waupaca County, Wisconsin
    • Family Households: Count of family households for the specified income level
    • % Family Households: Percentage of family households at the specified income level relative to the total family households in Harrison Town, Waupaca County, Wisconsin
    • Non-Family Households: Count of non-family households for the specified income level
    • % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Harrison Town, Waupaca County, Wisconsin

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Harrison town median household income. You can refer the same here

  15. T

    Iran Inflation Rate

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 17, 2024
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    TRADING ECONOMICS (2024). Iran Inflation Rate [Dataset]. https://tradingeconomics.com/iran/inflation-cpi
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jul 17, 2024
    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 - May 31, 2025
    Area covered
    Iran
    Description

    Inflation Rate in Iran increased to 38.90 percent in April from 37.10 percent in March of 2025. This dataset provides the latest reported value for - Iran Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. New Events Data in Greece

    • kaggle.com
    Updated Sep 14, 2024
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    Techsalerator (2024). New Events Data in Greece [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-greece
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Greece
    Description

    Techsalerator's News Events Data for Greece: A Comprehensive Overview

    Techsalerator's News Events Data for Greece is an essential resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across Greece, drawing from diverse media sources such as news outlets, online publications, and social platforms. It offers valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

    Key Data Fields - Event Date: Captures the exact date of the news event, crucial for analysts monitoring trends over time or businesses responding to market shifts. - Event Title: A brief headline describing the event, allowing users to quickly categorize and assess news content based on relevance. - Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information on where the event took place within Greece, valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

    Top 5 News Categories in Greece - Politics: Major news coverage on government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on Greece’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in football, basketball, and other popular sports, often drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Greece’s growing tech ecosystem, featuring companies like Vodafone Greece and up-and-coming startups.

    Top 5 News Sources in Greece - Kathimerini: A major newspaper providing in-depth coverage of politics, economy, and social issues. - Ta Nea: A prominent source for news related to politics, business, and cultural events across Greece. - Mega Channel: A leading TV network offering real-time updates on current affairs, sports, and entertainment. - Protagon: A well-regarded online news platform known for its investigative journalism and analysis of political and social issues. - Ethnos: A key newspaper providing extensive coverage of national politics, economy, and public affairs.

    Accessing Techsalerator’s News Events Data for Greece To access Techsalerator’s News Events Data for Greece, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is an invaluable tool for tracking significant events in Greece. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, offering a clear picture of the country’s news landscape.

  17. Inflation Expectations

    • clevelandfed.org
    csv
    Updated Jun 11, 2025
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    Cite
    Federal Reserve Bank of Cleveland (2025). Inflation Expectations [Dataset]. https://www.clevelandfed.org/indicators-and-data/inflation-expectations
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

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

    Description

    We report average expected inflation rates over the next one through 30 years. Our estimates of expected inflation rates are calculated using a Federal Reserve Bank of Cleveland model that combines financial data and survey-based measures. Released monthly.

  18. 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 - May 31, 2025
    Area covered
    Nigeria
    Description

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

  19. Consumer Price Index, monthly, not seasonally adjusted

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jun 24, 2025
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    Government of Canada, Statistics Canada (2025). Consumer Price Index, monthly, not seasonally adjusted [Dataset]. http://doi.org/10.25318/1810000401-eng
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

  20. T

    China Inflation Rate

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

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

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

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

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi

United States Inflation Rate

United States Inflation Rate - Historical Dataset (1914-12-31/2025-05-31)

Explore at:
154 scholarly articles cite this dataset (View in Google Scholar)
json, excel, xml, csvAvailable download formats
Dataset updated
Jun 11, 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, 1914 - May 31, 2025
Area covered
United States
Description

Inflation Rate in the United States increased to 2.40 percent in May from 2.30 percent in April of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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