Every captured Rajya Sabha question on investment policies, schemes and incentives since 2019 (2019-01-02 → 2026-08-13) — 1,883 at this build — each mapped to its scheme and answering ministry. Every row links to the official answer PDF on sansad.in — 141 starred (answered orally on the floor), the rest unstarred (written) — this split is done by case-sensitive text matching on the question-type field, which is known to miscount a small number of mixed-case rows; treat the exact starred/unstarred split as approximate.
Rajya Sabha Question Registry
The upper-house companion to the Lok Sabha Question Registry and the Quarterly Reportage: what the Rajya Sabha asked about these same schemes, with the ministry's answer of record. All three views are classified by one scheme-keyword map, so they filter identically. Use it to find the answer, then read the answer. The underlying data analysis and build scripts are backed up at github.com/herrrickshaw.
Method. Harvested from the rsdoc.nic.in per-question index by subject
keyword (same keyword lists as the Lok Sabha registry, from 2019), then classified against the
same scheme-regex map and acronym-veto list as the Quarterly Reportage — so
“Sanchar Mitra” does not file under PM MITRA and IIT (ISM) Dhanbad does not
file under the Semiconductor Mission here either. Generated 2026-08-19 by
scripts/build_rs_pq_registry.py in
digital-twin-for-ipa.
Known limits, stated rather than hidden. The index matches keywords against the subject line only, so a question whose subject names no scheme is not captured even when its answer discusses one at length — coverage is of scheme-titled questions, not of every mention. Ministries answer as of their date; figures in older answers are superseded by newer ones. A row whose subject has nothing to do with its chip (the coloured scheme tag shown in the table) is a classification bug, not a parliamentary fact.
Why starred vs. unstarred matters. A starred question is one the member has flagged for an oral answer on the floor of the House, which also opens it to follow-up supplementary questions from other members in real time — the government has to defend the number, not just table it. An unstarred question gets a written answer laid on the table with no floor debate. Of the 1,883 questions captured here, only 141 (7.5%) were starred; the other 1,742 (92.5%) went the written route. That split is a genuine signal, not just a procedural footnote: a scheme that draws mostly written questions is being tracked quietly, ministry-to-member, while a scheme drawing a disproportionate share of the 141 starred slots is one members consider worth a public floor exchange — oral answers are a scarcer, contested slot in the House's own calendar, so a scheme that keeps attracting them is, by revealed preference, a live political concern rather than a routine ask.
How this blog actually uses this registry. This isn't a standalone reference tool — it's the index this blog's own articles are built from. Dozens of posts on this blog cite a specific Lok Sabha or Rajya Sabha written reply as their primary source for a scheme's actual disbursement figures (as opposed to its announced outlay); finding the right reply, among thousands filed since 2019, is exactly the search problem this registry and its Lok Sabha and Quarterly-Reportage companions were built to solve. Where an article elsewhere on this blog states that a scheme's payout lags its approved budget, the parliamentary reply behind that claim was very likely surfaced through this same keyword-and-regex classification pipeline, not read cold off sansad.in.
This page was built with AI assistance from the public rsdoc.nic.in / sansad.in Rajya Sabha Q&A index linked above. AI-generated text can misstate figures even when working from real source material — verify any number that matters to a decision against the linked answer PDF.
About this article: Researched, written and edited by Umashankar Triplicane Dwarakanathan, with AI research assistance; every figure is meant to trace to the primary source cited. See the Editorial Policy for how sourcing, AI use and corrections work.