The UDISE+ dataset for Sirsa District (2019–20) reports the number of school teachers by gender, academic qualification, professional qualification, classes taught, school category, and school management.
This dataset for Sirsa District (2019–20) provides a comprehensive breakdown of the teaching workforce across all recognised schools in Sirsa. It includes information for each teacher on gender; their highest academic qualification (e.g. graduate, postgraduate, etc.); professional/training qualification (e.g. B.Ed., diploma, trained/untrained status); which classes they teach (primary, upper-primary, secondary, higher-secondary as applicable); the school category (primary, upper-primary, secondary, higher-secondary etc.); and the type of school management (government, private, aided, local-body, etc.). Using this data, one can study staffing patterns in Sirsa — including gender distribution among teachers, qualification levels, professional training status, class-level teaching assignments, and differences by school type or management. This enables evidence-based planning, resource allocation, monitoring of human resources in school education, and evaluation of equity and quality of teacher distribution in Sirsa District.
The Dataset Provides Insights Into The Distribution And Qualifications Of Teachers Across Schools In Sirsa 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 Supports 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
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