The UDISE+ dataset for Valsad 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 Valsad District (2019–20) provides detailed information on the teaching workforce across all recognized schools in the district. It includes breakdowns by each teacher’s gender; highest academic qualification (e.g. graduate, postgraduate, etc.); professional qualification (e.g. trained/untrained, diploma/degree, B.Ed. etc. as applicable); the classes they teach (primary, upper-primary, secondary, higher-secondary, etc.); the school category; and the type of school management (government, private, aided, local-body, etc.). With this data, one can analyze the distribution and qualification profile of teachers in Valsad District, study gender balance among teachers, observe differences across school categories and management types, and assess staffing patterns and overall educational resource distribution in the district — enabling evidence-based planning, resource allocation, monitoring of human resources in school education, and identification of potential gaps or inequities.
The Dataset Provides Insights Into The Distribution And Qualifications Of Teachers Across Schools In Valsad District, Helping Analyse Staffing Patterns, Teacher-qualification Levels, Gender Distribution, Class-level Teaching Assignments, And Resource Allocation By School Category And Management Type; This Can Support Educational Planning, Monitoring And Policy Decision For Improving Quality And Equity Of School Education In The District.
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