Agricultural statistics refer to the systematic collection, processing, analysis, and interpretation of quantitative information related ton agricultural activities, resources, production systems, and rural conditions. Agricultural statistics includeThe concept encompasses statistical data ondescribing agricultural inputs, outputs, land use, crop and livestock production, farm characteristics, resource utilization, environmental conditions, and socioeconomic characteristicattributes of agricultural populations ^[1]. TheAgricultural se datatatistics provide quantitativestructured measurements of agricultural phenomena across different spatial and temporal scales, supportenabling the assessment of changes in farming systems, productivity patterns, and rural development processes ^[2]. Unlike general statistics, agricultural statistics are specifically designed to capture the biological, environmental, and socioeconomic characteristics of agricultural systems, including seasonal production cycles, spatial variability, and interactions between natural resources and human management ^[3]. Within agricultural and rural development research, agricultural statistics serve as a quantitative foundation for monitoring agricultural performance, analyzing trends in production systems, and supporting empirical research on agricultural and ecological processes ^[4].