The Census of Small and Cottage Industries in Punjab 2012–14 represents one of the most significant industrial enumeration exercises ever undertaken in Pakistan. Dr. Ghulam Mohey-ud-din served in a dual leadership capacity — as Industrial Economist & Project Lead and concurrently as Economist & Deputy Project Director — overseeing a 24-month, PKR 166 million census commissioned by the Government of Punjab. The census provided the first provincial-scale enumeration of Punjab’s small and cottage industry sector: a vast and economically critical segment that employs millions of workers yet remains systematically undercounted in official statistics.
Background and Policy Context
Pakistan’s small and cottage industries operate at the intersection of manufacturing, household enterprise, and the informal economy. In Punjab, these industries span textiles, food processing, handicrafts, metal fabrication, leather goods, and dozens of other sub-sectors distributed across urban industrial clusters and rural cottage enterprises. Prior to this census, no systematic province-wide enumeration had been conducted. Industrial policy, skills development planning, labour market interventions, and social protection targeting were all being formulated in the absence of reliable baseline data. The census of small and cottage industries in Punjab was designed to close this critical evidence gap and provide the Government of Punjab with the statistical foundations for evidence-based industrial and labour market policy.
Dr. Mohey-ud-din’s Role
As Labour Economist and Project Lead, Dr. Mohey-ud-din held both technical and managerial responsibility for the census. On the technical side, he led the design of the employment, wages, and productivity modules — developing the survey instruments and analytical frameworks used to capture the labour market characteristics of Punjab’s small and cottage industry sector. On the managerial side, he coordinated field operations, enumerator training, quality assurance, and data processing across Punjab’s districts. As Deputy Project Director, he was responsible for project delivery, client liaison with the Government of Punjab, and ensuring the census met its statistical quality and coverage objectives within the PKR 166 million budget envelope.
Census Methodology
The census methodology combined multiple components to achieve comprehensive coverage. Geographic frame construction used satellite imagery interpretation and local enumeration to identify and register industrial establishments across Punjab’s urban and peri-urban areas. Field data collection was conducted through teams of trained enumerators deployed district by district across the province. Statistical quality assurance protocols — including back-checks, supervisory review, and data entry validation — ensured the integrity of the enumeration. The resulting dataset captured establishment-level information on industry type, ownership structure, employment numbers, wage levels, output values, capital investment, and spatial location attributes.
Key Deliverables
The census delivered a comprehensive set of outputs for the Government of Punjab. These included: a complete province-wide enumeration of all small and cottage industrial establishments; an establishment registry database containing employment, output, and spatial data for each enumerated unit; a disaggregated labour market analysis covering employment structure, wage profiles, and skills composition by industry type and geographic region; and a Provincial Small Industry Report translating census findings into policy-relevant insights. District-level disaggregated data was also prepared for use by line departments in targeted policy and programme design.
Outcomes and Policy Impact
The Punjab small and cottage industry census delivered the most comprehensive statistical baseline ever produced for this sector in the province. The dataset became a foundational reference for provincial industrial policy, TEVTA skills planning, and development programme targeting. It informed decisions on investment in industrial clusters, training programme prioritisation, and social protection eligibility for workers in the informal and semi-formal manufacturing sector. The census data remains one of the most cited primary datasets in academic and policy research on Pakistan’s informal manufacturing sector, Punjab’s labour markets, and the economics of small enterprise development in South Asia.
Significance in Dr. Mohey-ud-din’s Portfolio
The census of small and cottage industries in Punjab exemplifies Dr. Mohey-ud-din’s expertise at the intersection of applied economic research, industrial statistics, and government advisory. The project combined rigorous survey methodology, large-scale field operations management, and high-stakes policy relevance — delivering foundational data that continues to inform Punjab’s industrial and labour market policy framework. It reflects his broader capability in designing and executing complex economic diagnostic exercises that generate durable evidence for government decision-making in Pakistan.