HOI data quantifies inequality in access to essential education services, specifically science proficiency at Level 3, across different circumstance groups. The index is calculated by the LAC Equity Lab, part of the World Bank, 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
- Model the relationship between household wealth index and science proficiency scores to identify wealth-based achievement gaps.
- Analyze the correlation between parents' education level and a child's access to quality science education using the HOI framework.
- Compare inequality of opportunity, measured by the HOI, across different regions of school location to guide regional policy interventions.
- Assess how the gender of the child and father's occupation interact to influence science learning outcomes.
Strengths
- Index incorporates multiple circumstance variables: gender, parental education, region, father's occupation, and wealth.
- Methodology captures both coverage (average access) and distributional inequality in a single metric.
Limitations
- Specific row count, time coverage, and geographic granularity (e.g., country-level vs. sub-national) are not provided.
- Underlying raw assessment scores and individual student records are not available, only the aggregated index.
Provenance
- Source
- LAC Equity Lab at the World Bank.
- Collection Method
- Calculated index based on survey and assessment data capturing access to essential services.
- Time Range
- null
- Freshness
- null
- Geography
- Latin America and the Caribbean (LAC) region, public schools.