Key Takeaways
- Pakistan cement industry has 24 plants with capacity of 76 million tons per annum in 2023
- Cement dispatches reached 47.1 million tons in FY2023, up 10% YoY
- Exports of cement were 9.2 million tons valued at $500 million in FY2023
- Pakistan pharmaceutical industry has 700 units producing 80% of domestic demand
- Pharma exports reached $350 million in FY2023, up 25% YoY
- Drug registrations total 25,000 including 15,000 local formulations in 2023
- The food and beverages sub-sector grew by 8.2% in LSM index during FY2023
- Pakistan's Large Scale Manufacturing (LSM) sector grew by 0.3% year-on-year in July 2023, with the LSM index standing at 132.8 points
- The manufacturing sector contributed 12.9% to Pakistan's GDP in FY2023, employing over 4.5 million people directly
- Quantum Index of Manufacturing (QIM) for FY2022-23 showed a decline of 6.0% compared to previous year
- Pakistan steel industry produced 5.8 million tons of billets in FY2023
- Long steel production reached 4.2 million tons, up 8% YoY in 2023
- Pakistan Steel Mills (PSM) capacity 1.1 million tons but utilization <10% in 2023
- Pakistan's textile industry employs 15 million people, contributing 8.5% to GDP in FY2023
- Textiles account for 60% of Pakistan's total exports valued at $19.3 billion in FY2023
Pakistan’s cement sector dispatched 47.1 million tons in FY2023, up 10% year on year.
Related reading
Cement
Cement Interpretation
More related reading
Chemicals
Chemicals Interpretation
More related reading
LSM
LSM Interpretation
Manufacturing
Manufacturing Interpretation
More related reading
Steel
Steel Interpretation
More related reading
Textiles
Textiles Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
James Okoro. (2026, February 13). Pakistan Industry Statistics. Gitnux. https://gitnux.org/pakistan-industry-statistics
James Okoro. "Pakistan Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/pakistan-industry-statistics.
James Okoro. 2026. "Pakistan Industry Statistics." Gitnux. https://gitnux.org/pakistan-industry-statistics.
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