The UDISE+ dataset for Aravalli 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 Aravalli District (2019–20) provides detailed information on the teaching workforce across all recognised schools in the district under the UDISE+ system. It includes counts of teachers broken down by gender; their academic qualifications (e.g. graduate, postgraduate, etc.); professional qualifications/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 school, secondary school, etc.); and the type of school management (government, private, aided, local-body, etc.). With this data, one can analyse distribution and qualification profile of teaching staff, staffing patterns across school levels and management types, gender balance among teachers, and resource allocation within Aravalli District — enabling evidence-based planning, resource distribution, monitoring of human resources in school education, and assessment of equity and quality in teacher deployment.
The Dataset Provides Insights Into The Distribution And Qualifications Of Teachers Across Schools In Aravalli District, Helping Analyse Staffing Patterns, Teacher-qualification Levels, Gender Distribution, Class-level Teaching Coverage, And Resource Allocation By School Category And Management Type. It Supports Educational Planning, Monitoring, Policy-making, And Efforts To Improve Equity And Quality Of School Education In The District.
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