Depression Survey of Rural Populations with Socioeconomic Indicators

A dataset of 1,432 survey records from a study on life conditions in rural zones, published by Frankcc on Kaggle. It contains 23 columns including demographic, family, asset, income, and expense variables. The target variable is a binary indicator for depression status.

Use Cases

• Predicting depression status based on demographic and socioeconomic features like age, education, and income.
• Analyzing the relationship between family structure (e.g., number of children, total members) and mental health outcomes.
• Investigating the association between asset ownership (gained, durable, saved) and depression risk in rural settings.
• Clustering survey respondents based on patterns in living expenses, farm expenses, and other financial variables.

Strengths

• Contains 1,432 rows, providing a substantive sample for analysis.
• Includes 23 features covering demographic, family, financial, and target variables for modeling.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Frankcc (Kaggle)

Collection Method

Survey study of life conditions in rural zones.

Geography

Rural zones (specific location unknown).