The UDISE+ dataset for Raichur 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 Raichur District (2019–20) provides comprehensive information about the teaching workforce in all recognized schools of the district. It includes breakdowns by each teacher’s gender, their academic qualifications, their professional qualifications (e.g. trained/untrained, diploma/degree), the classes they teach (primary, upper-primary, secondary, higher-secondary as applicable), the category of school (e.g. primary, secondary, etc.), and the type of school management (government, private, aided, etc.). With this data, one can analyze the distribution and qualification profile of the teacher workforce, staffing patterns across school categories and management types, gender distribution, and qualification disparities — enabling evidence-based planning, resource allocation, monitoring of teacher distribution, and evaluation of educational resources in Raichur District.
The Dataset Provides Insights Into The Distribution And Qualifications Of Teachers Across Schools In Raichur District, Helping Analyse Staffing Patterns, Teacher-qualification Levels, Gender Balance, And Resource Allocation By School Category And Management Type.
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