The platform will validate, clean, and map it automatically — you review before committing.
Col A: Serial no. | Col B: Maker | Col C: Fuel
Col D–O: JAN through DEC | Col P: Total
Fuels accepted: CNG, Diesel, Electric, Petrol, StrongHybrid
Info & contact
Vahan Intelligence publishes analytics derived from public VAHAN / Parivahan registration statistics — cleaned, aggregated views of four-wheeler passenger vehicle registrations.
Contact & support
For data questions, product feedback, or partnerships, write to info@vahanintelligence.in.
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Request occasional email updates (releases, methodology notes). This opens your mail client — no data is stored on this page.
Support
Technical issues with the dashboard or API should include your browser, steps to reproduce, and a screenshot if possible. Send to info@vahanintelligence.in with subject line starting with Support:.
About Vahan Intelligence
What this is
Vahan Intelligence is an independent analytics product built on India’s published vehicle registration statistics (VAHAN / Parivahan class data). It turns raw and semi-structured registration flows into explorable views of the four-wheeler passenger vehicle market: volumes over time, fuel mix, OEM structure, and geography — with filters for calendar year (CY) and Indian financial year (FY), and support for state/UT-level drill-down where the underlying extract allows.
Mission
Our mission is to make national and state-level registration trends easier to understand for analysts, policy teams, researchers, and industry — without replacing official sources. We prioritise clarity, consistent labelling, and repeatable methodology so comparisons across years and regions are meaningful.
What we focus on
- Market structure: who sells what, where, and in which fuel categories.
- Time and seasonality: annual and monthly patterns, including partial-year handling where relevant.
- Transparency: we describe limitations of the source data; users should always verify critical numbers against official releases.
Data & methodology
Inputs are cleaned into a long-format model (region, period, fuel, maker, month, registrations) with canonical state, fuel, and maker labels. “All India” and similar aggregates follow the scope of the extracts we ingest. Processing choices (for example deduplication or summation rules) are applied consistently so dashboard totals reconcile with the loaded dataset.
Independence
Vahan Intelligence is not affiliated with the Government of India. It interprets published statistics only. For statutory, compliance, or official reporting, always cite original VAHAN / MoRTH / Parivahan sources.