Nepal Child Disability and Educational Outcomes, 2019 Survey

7,824 children ages 5–17 were surveyed in the 2019 Nepal Multiple Indicator Cluster Survey. The dataset contains regression analysis results examining the association between functional disability and educational outcomes, including school attendance and grade completion. It was authored by Prashant Acharya and last updated in June 2026.

Use Cases

• Quantify the impact of disability on school attendance likelihood based on the reported 2.7 percentage point reduction.
• Analyze the association between disability and academic progression based on the reported 0.21 fewer grades completed on average.
• Investigate the relationship between disability and adaptation to routine changes based on the reported 13.5 percentage point increase in difficulty.
• Model educational disparities controlling for factors like household wealth and mother's education as mentioned in the description.

Strengths

• Based on a nationally representative sample of 7,824 children.
• Includes a specific measure of functional disability for approximately 13.7% of the sample.
• Analysis controls for multiple confounders including age, gender, and household wealth.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the analysis dataset is unknown, which may limit suitability assessment.
• The 13.5 KB file size suggests a very small dataset, likely containing summary results rather than raw survey records.

Provenance

Source

2019 Nepal Multiple Indicator Cluster Survey.

Collection Method

Nationally representative survey; regression analysis controlling for confounders.

Time Range

2019

Freshness

Last updated 2026-06-04 17:27:21; freshness should be verified.

Geography

Nepal