Abstract

Analysis of the Gini index based on education level shows significant inequality in the distribution of education in society. Higher levels of education tend to be accessed by groups with higher incomes, while groups with lower incomes often face barriers to obtaining quality education. This is reflected in the Gini index, which shows that the gap between groups with good and limited access to education is widening. This inequality has an impact on economic opportunities and social mobility, suggesting that improvements in a more inclusive education system and equal access to education across all levels of society are essential to reducing inequality and achieving greater social justice. The secondary sector in Muaro Jambi also shows significant levels of inequality. In the manufacturing and processing industries, large companies that produce goods on a large scale often make substantial profits, while small and medium enterprises struggle to compete. Inequality is also reflected in the construction sector, where the income gap between skilled and unskilled construction workers, and between large and small contractors, is quite striking. This contributes to the high Gini index in this sector, reflecting income inequality among workers and employers. In the tertiary sector, which includes services, retail, finance, and insurance, income inequality tends to be higher. In the service sector, the difference in income between workers in customer service and managers or professionals is very large. In the finance and insurance sector, income inequality is also significant because wages in this sector are often very high compared to other sectors, creating a large gap between workers in these fields and those in lower-wage sectors. This unequal distribution of income leads to a high Gini index in the tertiary sector. The quaternary sector in Muaro Jambi, which includes technology, information, and research and development, shows high levels of inequality. This inequality is caused by the large differences in wages between technology professionals and workers in non-technology sectors, as well as between workers in large technology companies and small businesses. Specialized skills and high levels of education in this sector are often directly related to high incomes, while those in less skilled or educated positions earn much lower wages. This creates a clear inequality in the distribution of income in this sector.

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