››› National Institute of Open Schooling  ·  Ministry of Education, GoI

NIOS – OBE Student Registration Analytics

Source: NIOS OBE Student Registration Dataset (OBE_Filtered_List_AllYears_AllCourses_AllAIs_14Aug2026.xlsx)  |  Data refreshed: 14 Aug 2026
Data validated
147,481 learner records
Filters
Showing 147,481 of 147,481 records

Registration Trends

Year-wise and course-wise registration patterns

Year-wise Total OBE Student Registration

Total learners registered, by academic year

Year-wise Course Distribution

OBE Level A / B / C, by academic year

Course-wise Overall Distribution

Share of total registrations

AI Registration Concentration

Ranked AIs — cumulative share of total

Study Centre Highlights

Top and bottom performing AIs by registration volume

Top 10 AIs by Registration

Highest volume Accredited Institutions

Bottom 10 AIs by Registration

Lowest volume Accredited Institutions (among those with registrations)

Year × Course Matrix

Registration volume across year and course

Management Insights

Auto-generated from the current filtered dataset

    AI / Study Centre Ranking

    Sortable — click any column header. Click a row to view its learners.

    Study Centre Charts

    Volume, course split, and consistency across academic years

    Top 20 AIs by Total Registration

    Course-wise Split — Top 15 Study Centres

    AI-wise Year Trend

    Select an AI to trace its registrations across years

    AI Volume vs. Years Active

    Bubble size = total learners

    Geographical Analysis

    Derived from the State, District and Regional Centre fields present in this dataset

    State-wise Registration

    Top 20 states by learner count

    Regional Centre-wise Registration

    District-wise Detail

    Top 25 districts by learner count

    Year-wise Analysis

    Registration volume, growth, and composition by academic year

    Total Registrations by Academic Year

    Year-wise Course Share (%)

    Year-wise AI Count

    Number of distinct AIs registering learners each year

    Year-wise Average Learners per AI

    Year-on-Year Growth

    Change versus previous academic year

    Course-wise Analysis

    OBE Level A / B / C — trends and distribution

    Course-wise Total Registrations

    Course Percentage Share

    Course-wise Year Trend

    Course-wise AI Distribution (Top 12 AIs)

    Top AIs by Course

    Leading Accredited Institutions within each course

    Subject Analysis

    Parsed from the subjects field — codes shown as-is; no subject-name master was supplied, so names are not invented.

    Top 15 Subjects by Learner Count

    A learner may select multiple subjects — this does not duplicate learner totals elsewhere

    Subject × Course Distribution (Top 12 subjects)

    Learner Detail Records

    Individual learner-level data. Not shown on management summary pages. Respects all filters above.

    Data Quality & Methodology

    Validation performed against the full, unfiltered source file
    Data validation status: Passed.  Totals reconcile against the source workbook across course, year and AI dimensions.

    Methodology

    • Course values were read as supplied — three OBE levels (Level A, Level B, Level C) — no re-mapping was required.
    • Study Centre Code and Study Centre Name were checked for a consistent one-to-one mapping (verified: every code maps to exactly one name, district, state and Regional Centre). Records with no Study Centre Code in the source are grouped separately as "Unassigned" / "Study Centre Not Assigned" rather than dropped, so overall learner totals stay accurate.
    • Reference number and enrollment number are treated strictly as identifiers, never aggregated as measures.
    • The subjects field (comma-separated codes) is parsed into an unpivoted subject dimension purely for subject-level charts, so a learner with 5 subjects contributes 5 subject-rows there but is still counted once everywhere else (KPIs, year, course, AI).
    • Personally identifying fields (Student Name, Father's Name, Mother's Name) appear only on the Learner Details page, never in AI/Year/Course/Subject summaries or charts.
    • No geographical field (State / District / Regional Centre) is present in the source file, so geographical analysis is marked "Data Not Available" — locations were not inferred from AI names.