DataTruth takes government data that is technically public but practically invisible and turns it into stories every citizen can read, share, and act on.
Each study takes one dataset, asks one accountability question, and presents the answer in full — with sources, methodology, and the context to understand what it means.
Indian government ministries quietly hold back welfare budgets for eleven months, then spend 20–25% of the entire annual allocation in the last 30 days of March. Projects get sanctioned in panic, roads get built in the wrong season, and money gets wasted.
Every MP receives ₹5 crore per year to spend on local infrastructure. Over a term, that is ₹25 crore per constituency — enough to build 50 classrooms or lay 100 km of rural roads. This study tracks what actually happens to that money.
Lok Sabha MPs cost taxpayers ₹2.8 crore over a five-year term in salary, allowances, and perks. This study cross-references 17th Lok Sabha attendance records with questions asked — and finds 62 MPs who showed up less than half the time.
State governments publish official debt figures — but a parallel universe of off-budget borrowings through PSUs, SPVs, and state-owned utilities inflates real liabilities by 5–18 percentage points. Andhra Pradesh's true debt/GSDP may be 47%, not 29%.
The Union government runs 133 centrally sponsored schemes — yet just 15 of them consume 91% of the total budget. The remaining 118 schemes share ₹30,000 crore, creating an administrative fog where accountability vanishes and states can't plan.
Four states reverted from the contributory NPS to the old defined-benefit pension scheme between 2022 and 2023. By 2039–40, those states will spend ~28% of revenue receipts on pensions vs ~12% for NPS states — a slow-motion fiscal crisis already visible in budget documents.
India has more open government data than most citizens realise. Budget accounts, MP expenditure records, scheme dashboards, audit reports — it is all technically public. But it lives in PDFs, scattered across hundreds of portals, in formats that require technical expertise to parse.
DataTruth exists to change that. Each study takes one dataset, asks one accountability question, and presents the answer so that any citizen can understand it, share it, and use it.
All data used is from official Government of India sources. Where data is indicative (i.e., not yet fetched live), it is based on published CGA and MoSPI patterns and clearly labelled.