The UDISE+ dataset for Tapi 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 Tapi District (2019–20) provides detailed information on the teaching workforce in all recognised schools of the district. It includes breakdowns by each teacher’s gender, their academic qualification (e.g. graduate, postgraduate, etc.), their professional qualification (e.g. trained/untrained, degrees/diplomas, teaching credentials), the classes they teach (primary, upper-primary, secondary, higher-secondary as applicable), the school category (e.g. primary, upper-primary, secondary, etc.), and the type of school management (government, private, aided, local-body, etc.). With this data one can examine staffing patterns, distribution of qualified teachers across school levels and management types, gender balance among teachers, and identify gaps or inequalities in teacher deployment within Tapi District supporting evidence-based planning, resource allocation, and monitoring of human resources in school education.
The Dataset Provides Insights Into The Distribution And Qualifications Of Teachers Across Schools In Tapi District, Helping Analyse Staffing Patterns, Teacher-qualification Levels, Gender Distribution, Class-level Teaching Coverage, And Resource Allocation By School Category And Management Type. This Supports Educational Planning, Monitoring, And Policy Decisions Aimed At Improving Quality And Equity Of School Education In The District.
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