The UDISE+ dataset for Kaithal 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 Kaithal District (2019–20) provides detailed information on the teaching workforce across all recognised schools in the district under the UDISE+ system. It includes breakdowns by each teacher’s gender; their academic qualification (e.g. graduate, postgraduate, etc.); their professional qualification or training status (e.g. trained/untrained, diploma/degree, etc.); 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 analyse the distribution and qualification profile of teachers, staffing patterns across school levels and management types, gender distribution among teachers, class-level teaching assignments, and resource allocation — enabling evidence-based planning, resource distribution, monitoring of human resources in school education, and assessment of equity and quality of teacher deployment in Kaithal District.
The Dataset Provides Insights Into The Distribution And Qualifications Of Teachers Across Schools In Kaithal 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 Evidence-based Educational Planning, Monitoring Of Teacher Deployment, And Policy Decisions Aimed At Improving Equity And Quality Of School Education In The District.
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