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Country GDP Per Capita Time Series
Data Science and Analytics
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About
Provides a detailed view of Gross Domestic Product (GDP) per capita for countries worldwide, spanning from 1960 to 2023. The economic indicators are derived from the World Bank. It serves as a valuable resource for global economic analysis, financial modelling, and data visualisation applications, offering insights into long-term economic dynamics.
Columns
- country_code: The ISO Alpha 3 code identifying the country.
- country_name: The official name of the corresponding country.
- region: The general geographic classification of the country.
- sub_region: A more specific geographic classification.
- intermediate_region: Further regional breakdown details, if applicable.
- indicator_code: The specific World Bank indicator code (e.g., NY.GDP.PCAP.CD).
- indicator_name: The full name of the World Bank indicator (e.g., PIB PER CAPITA (US$ A PRECIOS ACTUALES)).
- year: The annual data point recorded, ranging from 1960 to 2023.
- gdp_per_capita: GDP per capita measured in current US dollars.
- gdp_variation: The year-over-year percentage change in GDP per capita.
Distribution
The data is typically structured as a flat file, such as CSV (
pib_per_capita_countries_dataset.csv). It contains approximately 13,800 records. While most fields are fully populated, certain geographic classifications, specifically region and intermediate_region, exhibit missing values (around 40% and 58% respectively).Usage
This dataset is highly useful for tracking long-term economic growth across countries, training machine learning models for economic predictions, performing financial research by comparing GDP trends between various regions, and creating compelling visual narratives about global financial dynamics.
Coverage
The data includes economic indicators for all countries globally. The temporal scope spans 64 years, covering annual data points from 1960 up to the year 2023. Geographic scope is provided via country names, region, sub-region, and intermediate region classifications.
License
CC BY-NC-SA 4.0
Who Can Use It
- Economists: For economic trends analysis and tracking growth patterns.
- Data Scientists: For developing machine learning and forecasting models.
- Students: For academic research into economic history and global development.
- Financial Analysts: For comparing cross-country performance and risk analysis.
Dataset Name Suggestions
- World Bank Global Economic Indicators 1960-2023
- Country GDP Per Capita Time Series
- Global GDP PIB Data Set.
Attributes
Original Data Source: Country GDP Per Capita Time Series
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