Mathematics Proficiency and Access Inequality in Latin American Public Schools

HOI data quantifies inequality in access to essential services, specifically mathematics proficiency, across different circumstance groups in public schools. The index is calculated by the LAC Equity Lab using World Bank data, combining average access rates with distributional inequality. Circumstances analyzed include child's gender, parents' education, school region, father's occupation, and household wealth.

Use Cases

• Analyze the correlation between household wealth index and mathematics proficiency scores to identify wealth-based achievement gaps.
• Model the influence of parents' education level on a child's access to proficient mathematics education using the HOI framework.
• Compare regional inequality in school performance by examining the HOI values across different school location regions.
• Assess gender disparities in mathematics proficiency by evaluating index components related to the child's gender.
• Investigate how father's occupation, as a circumstance variable, interacts with other factors to affect the overall Human Opportunities Index for mathematics.

Strengths

• Index incorporates multiple key circumstance variables: gender, parental education, region, occupation, and wealth.
• Methodology combines coverage (average access) and distributional inequality into a single comparable metric.

Limitations

• Specific row count, column details, and temporal coverage for the mathematics proficiency dataset are unknown.
• Geographic scope is implied to be Latin America and the Caribbean (LAC) but exact countries and years are unspecified.
• Data may reflect systemic biases present in the underlying school and household surveys used for calculation.

Provenance

Source

LAC Equity Lab, hosted on the World Bank platform.

Collection Method

Calculated from surveys and administrative data measuring access to mathematics proficiency, factoring in defined circumstance groups.

Geography

Likely Latin America and the Caribbean (based on LAC Equity Lab focus), but specific countries are unknown.