India PPAC — Petroleum & Petrochemical Production Statistics

It is the official ledger of what India refines, burns, imports and pipes, published by the Petroleum Planning & Analysis Cell - the attached office of the Ministry of Petroleum & Natural Gas that measures petroleum sector performance for a country of 1.4 billion consumers. The flagship artefact is a single bulk workbook, India's Oil & Gas Ready Reckoner, verified at roughly 14 MB across 107 worksheets and about ten chapters: crude reserves, exploration and production, natural gas, refining and output, pipelines, consumption, LPG and infrastructure.

Around the workbook sits a steady release rhythm - monthly Flash Reports and Industry Consumption Reports, a Natural Gas Monthly Report, quarterly LPG Profiles, annual demand estimates and a PPAC Journal. The set is petroleum products and natural gas rather than polymer grades: naphtha, the molecule that feeds Indian crackers, is tracked explicitly as a product line, but there is no dedicated petrochemicals section - which is exactly why it pairs with India Dept. of Chemicals & Petrochemicals — Chemi Sankhya & Statistics.

These readings come straight out of catalog research on the parsed workbook - one production row, one demand row, one trade row and the gas-sector sheet:

# TABLE 4.4 -- DOMESTIC PRODUCTION OF PETROLEUM PRODUCTS (MMT), by financial year
product                        FY2024-25     FY2025-26
NAPHTHA                         17.259        17.499
HSD (high speed diesel)        118.190       120.793

# TABLE 6.3(A) -- STATE-WISE SALES (TMT) with per-capita columns
State/UT    LPG_sales_TMT   Naphtha_sales_TMT   MS_per_capita_kg
Delhi            780.218               0.000             48.867

# SHEET 'NG SECTORAL' -- natural gas consumption by sector, Apr 2025 - Mar 2026
sector : fertilizer ; power ; petrochemicals ; ...   <-- petrochemicals is a first-class row

# TABLE 4.11 -- IMPORT/EXPORT of crude oil and petroleum products
line : Crude oil IMPORT*   quantity_MT 226.498   value_USD_bn 111.915   (FY2018-19)
# * split PSU/JVs vs Private across LPG, petrol, naphtha and the rest of the product basket

Read the diesel row against the Delhi row and the shape of the set appears. Production is a national, annual, two-column affair - HSD moved from 118.190 MMT in FY2024-25 to 120.793 MMT in FY2025-26, about 2.6 MMT of added output in a single year. Sales are the mirror image at ground level: 780.2 thousand tonnes of LPG sold in Delhi alone, with per-capita petrol sales of 48.9 kg attached. And the trade table carries money, not just mass - 226.5 million tonnes of imported crude worth US$111.9 billion in one recorded fiscal year. Volume, geography and value in three tables.

Eleven documented fields cover the four table families, each typed below against a live value from research. Two design details matter when you model on them. Units switch between tables: Table 4.4 speaks in million metric tonnes while the monthly product pages speak in thousand metric tonnes, so unit-aware ingestion belongs upstream of any join. The trade table is dual-currency: quantity in million tonnes beside value in both US$ billion and Rs. crores, split PSU/JV versus private - a built-in ownership dimension most trade series make you derive.

The remaining reference material folds under additional fields on request - refinery-by-company capacity, gross refining margins, world reserve comparisons and the wider release shelf - confirmed and populated when you name the products, states and fiscal years on your list.

Geography - India at national level for production and trade, with genuine sub-national depth where it matters commercially: Table 6.3(A) cuts product sales by state and union territory with per-capita figures derived against population, and the natural gas sheets break sectoral consumption down by state. The only non-India rows are the world top-30 crude reserves comparison.

Temporal - the clock runs on Indian financial years, April through March. Consumption growth tables reach back to FY2014-15 with CAGRs computed to FY2025-26; archive editions keep older fiscal years retrievable. The monthly release cycle was observed current at July-August 2026 with FY2025-26 columns populated.

Granularity - product times period at national level, with three useful axes attached: state/UT rows for sales, refinery-versus-fractionator source splits for production, and PSU/JV-versus-private splits for trade. There is no plant-month panel here - refinery identity lives in the Ready Reckoner's capacity tables, not in a continuous facility time series.

API, files, or your warehouse. Daily, weekly, or hourly.

You pick the channel and the cadence; the field dictionary above travels unchanged across all three. Bulk files suit loading all 107 worksheets once into a warehouse alongside your own price and logistics tables - product name plus financial year is the join key. Payloads suit dashboards that want the latest month's production table the day it lands. Warehouse delivery suits teams splicing PPAC volumes onto DCPC's downstream chemical tonnages in SQL - naphtha is the shared hinge, produced upstream and consumed downstream.

• Energy and refining demand modeling - product-wise production beside consumption growth with CAGRs gives supply and demand for the same twelve product lines, the pairing any margin model needs.
• Territory planning and distribution - state-wise sales in TMT with per-capita figures rank markets by fuel and by intensity, which is how LPG distributor networks and depot siting cases get made.
• Trade and currency-exposure analysis - import/export lines split PSU/JV versus private with values in both US$ billion and Rs. crores, so crude dependence and who bears it arrive in one table.
• Petrochemical feedstock positioning - naphtha output is tracked explicitly as a product line, giving cracker economics a public supply anchor that pairs with downstream polymer tonnages from the chemicals ministry side.
• Citation-grade journalism and policy work - every figure traces to a named government publication, chapter and fiscal year, which survives an editor's scrutiny.

Adjacent reads: market sizing use cases and demand forecasting use cases.

Investors and quant researchers get official volume, demand and trade series for an entire national energy complex - exogenous features for models on Indian refiners, OMCs and their feedstock costs; see investors quants use cases. Market researchers and consultants get demand already segmented twice - by product and by state with per-capita intensity - so market-entry sizing starts from measured territory data; see market researchers use cases. Data scientists get tidy product-year panels with dual-currency trade columns that join cleanly onto global energy series; see data scientists use cases. Competitive-intel and product teams watch product-level consumption shifts as early demand signals in a market of 1.4 billion consumers; see competitive intel product teams use cases. Sales and growth teams get state-ranked sales tables that double as territory heat maps; see sales growth teams use cases.

Three things worth knowing upfront. First, petroleum means products, not polymers - the product list stops at LPG through petcoke plus naphtha as feedstock; there is no polyethylene or PVC here, so downstream chemical questions need the DCPC companion record rather than deeper filtering here. Second, units move between tables - MMT in the annual production view, thousand metric tonnes in the monthly views - so normalization belongs in ingestion, and it is already done before an extract reaches you. Third, production depth stops below the refinery: capacity and processing exist by company in the reckoner, but there is no continuous plant-month series to slice.

Name the products, states, fiscal years and chapters you need when you request a sample - the extract comes back cut to that shape, with the field dictionary above intact.

The rail below collects the neighboring records worth reading alongside this one - the upstream chemicals mirror, the head-to-head comparison, and the wider commodity chemicals set.