Baselight

Global Country Information Dataset 2023

A Comprehensive Dataset Empowering In-Depth Analysis and Cross-Country Insights

@kaggle.nelgiriyewithana_countries_of_the_world_2023

About this Dataset

Global Country Information Dataset 2023

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

  • Country: Name of the country.
  • Density (P/Km2): Population density measured in persons per square kilometer.
  • Abbreviation: Abbreviation or code representing the country.
  • Agricultural Land (%): Percentage of land area used for agricultural purposes.
  • Land Area (Km2): Total land area of the country in square kilometers.
  • Armed Forces Size: Size of the armed forces in the country.
  • Birth Rate: Number of births per 1,000 population per year.
  • Calling Code: International calling code for the country.
  • Capital/Major City: Name of the capital or major city.
  • CO2 Emissions: Carbon dioxide emissions in tons.
  • CPI: Consumer Price Index, a measure of inflation and purchasing power.
  • CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
  • Currency_Code: Currency code used in the country.
  • Fertility Rate: Average number of children born to a woman during her lifetime.
  • Forested Area (%): Percentage of land area covered by forests.
  • Gasoline_Price: Price of gasoline per liter in local currency.
  • GDP: Gross Domestic Product, the total value of goods and services produced in the country.
  • Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
  • Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
  • Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
  • Largest City: Name of the country's largest city.
  • Life Expectancy: Average number of years a newborn is expected to live.
  • Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
  • Minimum Wage: Minimum wage level in local currency.
  • Official Language: Official language(s) spoken in the country.
  • Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
  • Physicians per Thousand: Number of physicians per thousand people.
  • Population: Total population of the country.
  • Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
  • Tax Revenue (%): Tax revenue as a percentage of GDP.
  • Total Tax Rate: Overall tax burden as a percentage of commercial profits.
  • Unemployment Rate: Percentage of the labor force that is unemployed.
  • Urban Population: Percentage of the population living in urban areas.
  • Latitude: Latitude coordinate of the country's location.
  • Longitude: Longitude coordinate of the country's location.

Potential Use Cases

  • Analyze population density and land area to study spatial distribution patterns.
  • Investigate the relationship between agricultural land and food security.
  • Examine carbon dioxide emissions and their impact on climate change.
  • Explore correlations between economic indicators such as GDP and various socio-economic factors.
  • Investigate educational enrollment rates and their implications for human capital development.
  • Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
  • Study labor market dynamics through indicators such as labor force participation and unemployment rates.
  • Investigate the role of taxation and its impact on economic development.
  • Explore urbanization trends and their social and environmental consequences.

Data Source: This dataset was compiled from multiple data sources

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