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FCI Storage Scenario — Capacity, Stock, and the Road to 2,150 LMT

FCI storage scenario — from 851 LMT to the 2,150 LMT plan

India's grain-storage system has grown slowly (851→918 LMT, FCI+State, 2018→2025) while central-pool stock swings 300–900 LMT with the crop cycle. The World's Largest Grain Storage Plan (2023, ₹1 lakh cr) now adds +700 LMT of cooperative (PACS) capacity to lift total agri-storage from 1,450 to 2,150 LMT. Each figure is PIB-sourced (below).

FCI + State covered+CAP (LMT) + cooperative / total agri-storage (plan) peak central-pool stock (LMT) 2,150 LMT target
The scenario story: in mid-2021 stock hit a record ~907 LMT — brushing the covered-godown ceiling and spilling into open CAP/hired space (FCI is 70% hired, only ~147 LMT owned). The cooperative plan fixes this at the village level (PACS godowns, 1,000 MT each; 2,000 MT hubs) — turning rented, centralised, over-stretched storage into owned, distributed capacity that doubles as procurement centres, Fair Price Shops and processing units — the feedstock node for the biorefinery.
Sources — 2018: PIB PRID 1564065 (851.54 LMT, 31-12-2018). 2023: PIB PRID 1945170 (FCI 1,923 warehouses / 371.93 LMT, 01-07-2023). 2025: PIB PRID 2172351 (FCI+State 917.83 LMT covered+CAP, 01-07-2025) + Year-End Reviews 2024/2025. Plan: PIB PRID 2080612 (+700 LMT cooperative → 2,150 LMT). Stock: DFPD Foodgrain Bulletin monthly series. Data: data/fci_storage_scenario.csv. Scenario years (2028/2031) are plan-ramp illustrations, not official forecasts.
Disclaimer: This analysis is based on publicly available government and market data cited in the article above. It is provided for informational and research purposes only and does not constitute investment, legal, or policy advice. Figures may be revised as source data is updated — verify against the original source before relying on them for decisions.

AI Disclosure: This article was researched and written with AI assistance (Claude Sonnet), drawing on publicly available government, industry, and academic sources cited above. AI-generated text can occasionally misstate figures or "hallucinate" details even when working from real source material — readers should treat this piece as a synthesis aid, verify any figure that matters to a decision against the cited primary source, and focus on the underlying material rather than this summary alone.

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