The UDISE+ dataset for Panipat District (2019–20) reports the number of school teachers by gender, academic qualification, professional qualification, classes taught, school category, and school management.
The dataset for Panipat District (2019–20) provides detailed data on the teaching workforce in all recognised schools in the district under the UDISE+ system. It includes for each teacher: their gender; academic qualification (e.g. graduate, postgraduate etc.); professional qualification or training status (e.g. trained/untrained, B.Ed., diploma, etc.); the classes they teach (primary, upper-primary, secondary, higher-secondary as applicable); the school category (primary, upper-primary, secondary, etc.); and the type of school management (government, private, aided, local-body, etc.). With this data one can analyse staffing patterns — including distribution of qualified/trained teachers across different school levels and management types, gender balance among teachers, class-level teaching assignments — thereby aiding evidence-based planning, resource allocation, monitoring of human resources in school education, and assessment of equity and quality of teacher deployment in Panipat District.
The Dataset Provides Insights Into The Distribution And Qualifications Of Teachers Across Schools In Panipat District, Helping Analyse Staffing Patterns, Teacher-qualification And Training Levels, Gender Distribution, Class-level Teaching Coverage, And Resource Allocation By School Category And Management Type. This Can Support Educational Planning, Monitoring Of Teacher Deployment, And Policy Decisions Aimed At Improving Equity And Quality Of School Education In The District.
Open Government License, India
© 2026 - Copyright AIKosh. All rights reserved.