{"id":32246,"date":"2025-01-14T13:27:45","date_gmt":"2025-01-14T12:27:45","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-request-looking-for-rural-household-economic-data-for-poverty-prediction-model\/"},"modified":"2025-01-14T13:27:45","modified_gmt":"2025-01-14T12:27:45","slug":"dataset-request-looking-for-rural-household-economic-data-for-poverty-prediction-model","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-request-looking-for-rural-household-economic-data-for-poverty-prediction-model\/","title":{"rendered":"[Dataset Request] Looking For Rural Household Economic Data For Poverty Prediction Model"},"content":{"rendered":"

<\/p>\n

\n

I’m working on a machine learning project to predict household poverty levels in rural areas (In need the most for Cambodia dataset). I’m looking for datasets that include:<\/p>\n

Essential features:<\/p>\n

Household income\/expenditure data Demographic information (family size, education levels, etc.) Geographic indicators (rural\/urban classification) Economic indicators (employment status, assets owned) Current or historical poverty status (as target variable) <\/p>\n

Ideal characteristics:<\/p>\n

Recent data (preferably within the last 5-10 years) Clear documentation\/data dictionary Cleaned or semi-cleaned format Country or region-level granularity Sufficient sample size for ML modeling <\/p>\n

I’m planning to use classification techniques (Logistic Regression and XGBoost) for prediction. While I’m aware of the World Bank’s datasets, I’m interested in exploring other potential sources, especially those with more granular household-level information.<\/p>\n

Has anyone worked with similar datasets or can point me towards reliable sources? I’m open to both public and academic databases.<\/p>\n

Thank you in advance!<\/p>\n<\/div>\n

submitted by \/u\/Aejantou21 <\/a>
[link]<\/a><\/span> [comments]<\/a><\/span><\/p>