The UDISE+ dataset for Botad 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 Botad 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.); professional qualification/training status (e.g. trained/untrained, diploma/degree, B.Ed. etc. as applicable); the classes they teach (primary, upper‑primary, secondary, higher‑secondary as applicable); the school category (primary, upper‑primary, secondary, etc.); and the type of school management (government, private, aided, local‑body, etc.). With this dataset, one can analyse distribution and qualification profile of teachers, staffing patterns across school levels and management types, gender balance among teachers, 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 Botad District.
The Dataset Provides Insights Into The Distribution And Qualifications Of Teachers Across Schools In Botad 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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