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Historical Inflation Data by Country
Finance & Banking Analytics
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About
Historical record of worldwide inflation rates from 1960 to the present. Containing national-level inflation data for numerous countries and territories, it serves as a crucial resource for economic analysis, financial forecasting, and macroeconomic research. The data is based on the Consumer Price Index (CPI), ensuring standardised indicators from reputable sources.
Columns
- country_code: The three-letter alpha code for each country.
- country_name: The full name of the country.
- region: The major geographical region for the country.
- sub_region: The specific sub-region within the major region.
- intermediate_region: A more granular geographical classification within the sub-region.
- indicator_code: The World Bank indicator code, which is 'FP.CPI.TOTL.ZG'.
- indicator_name: The name of the World Bank indicator, which is 'INFLACION, PRECIOS AL CONSUMIDOR (% ANUAL)'.
- year: The year the inflation rate was recorded.
- inflation_rate: The annual inflation rate as a percentage.
Distribution
The dataset is provided in a single CSV file named
global_inflation_countries.csv with a size of 2.05 MB. It contains data across 9 columns.Usage
This dataset is ideal for a variety of applications. It can be used for economic research to analyse inflation trends and economic cycles, or for financial forecasting to predict future inflation and its effects on global markets. It is also suitable for policy and development studies to examine regional economic disparities and the impact of different policies. Additionally, it can be employed in machine learning projects to train predictive models on historical inflation trends.
Coverage
The data provides global coverage, including inflation rates for countries across all continents. The time range spans over 60 years, from 1960 to the present. The data is also categorised by region, sub-region, and intermediate region, allowing for in-depth geographic analysis.
License
CC BY-NC-SA 4.0
Who Can Use It
- Economists: For analysing long-term inflation trends and economic cycles.
- Data Scientists: To build and train machine learning models for inflation prediction.
- Financial Analysts: To forecast future inflation and its impact on global markets.
- Researchers: For conducting policy and development studies on regional economic disparities.
Dataset Name Suggestions
- Global Inflation Rates: Historical CPI Data 1960–Present
- Historical Inflation Data by Country (1960-Present)
- Worldwide Annual Inflation Rates (CPI) since 1960
- Global Economic Trends: Inflation Rates by Nation
Attributes
Original Data Source: Historical Inflation Data by Country
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