"\u201c Marathwada District-Level Agriculture, Insurance, and GDP Dataset (2019\u20132025)\u201d"
Abstract
"his dataset presents a comprehensive, district-level, percentage-normalized panel of agricultural production, seasonal crop insurance receipts, and economic performance indicators for the Marathwada region of Maharashtra, India, covering the period 2019\u20132025. The dataset aggregates multiple Kharif and Rabi crops\u2014including soybean, cotton, bajra, tur, urad, mung, sugarcane, turmeric, fruits, chickpea, groundnut, and wheat\u2014along with Gross District Domestic Product (GDDP) and agriculture-sector GDDP, structured as one record per district-year to support machine learning and econometric analyses. All numerical attributes are normalized to percentage scales to facilitate cross-district comparability and feature integration in data-driven models. The dataset is designed to enable studies on agriculture\u2013GDP linkages, crop diversification, insurance impact assessment, and regional economic resilience in a drought-prone agro-climatic zone, and is suitable for use in predictive modeling, policy evaluation, and academic research."
Fields of Study & Subjects
Agricultural Economics and Practices
Agricultural risk and resilience
Social and Economic Development in India
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 15 January 2026
- Document type
- Dataset