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[Grouping of countries according to basic and economic indicators].
This study used multivariate statistics to group 36 countries based on 1990 economic and health indicators. Infant mortality and life expectancy were key factors in determining development levels.
Area of Science:
- Demographics
- Socioeconomic Indicators
- Multivariate Statistics
Context:
- Utilizes 1990 data from UNICEF on basic and economic indicators.
- Includes 36 diverse countries across Americas, Europe, Middle East, and Asia.
- Focuses on countries with complete data for 16 developmental variables.
Purpose:
- To classify countries based on development using statistical methods.
- To identify key indicators differentiating development stages.
- To analyze the position of Brazil within American countries.
Summary:
- Principal Component Analysis and Cluster Analysis were applied to categorize countries.
- The first principal component served as a measure of development.
- Infant and child mortality rates, along with life expectancy, were the most significant variables.
Impact:
- Provides a statistical framework for understanding global development disparities.
- Highlights the importance of health indicators in development assessments.
- Offers insights into Brazil's developmental standing in 1990.
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