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KSE100 173939.01 ↑ 4027.06 (2.32%) ALLSHR 103800.94 ↑ 2426.33 (2.34%) KSE30 52809.96 ↑ 1336.80 (2.53%) KMI30 250755.67 ↑ 4699.36 (1.87%) BKTI 48513.81 ↑ 1916.74 (3.95%) OGTI 36285.57 ↑ 1083.83 (2.99%) KMIALLSHR 67535.39 ↑ 1339.91 (1.98%) JSGBKTI 74046.40 ↑ 3027.28 (4.09%) MII30 22636.82 ↑ 365.22 (1.61%) KSE100PR 53622.88 ↑ 1239.26 (2.31%) KSE100 173939.01 ↑ 4027.06 (2.32%) ALLSHR 103800.94 ↑ 2426.33 (2.34%) KSE30 52809.96 ↑ 1336.80 (2.53%) KMI30 250755.67 ↑ 4699.36 (1.87%) BKTI 48513.81 ↑ 1916.74 (3.95%) OGTI 36285.57 ↑ 1083.83 (2.99%) KMIALLSHR 67535.39 ↑ 1339.91 (1.98%) JSGBKTI 74046.40 ↑ 3027.28 (4.09%) MII30 22636.82 ↑ 365.22 (1.61%) KSE100PR 53622.88 ↑ 1239.26 (2.31%)
LAHORE — In a major step toward modernizing public administration and policy planning, the Chairman of the Punjab Information Technology Board (PITB), Faisal Yousaf, presided over a high-level collaborative session to review the implementation and data modeling of the Punjab Socio-Economic Registry (PSER) Door-to-Door Survey.

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One Map@Punjab: PITB and PSPA Join Forces to Drive Data-Driven Governance via PSER Data

LAHORE — In a major step toward modernizing public administration and policy planning, the Chairman of the Punjab Information Technology Board (PITB), Faisal Yousaf, presided over a high-level collaborative session to review the implementation and data modeling of the Punjab Socio-Economic Registry (PSER) Door-to-Door Survey.

The session was co-chaired by Ali Shehzad, Chief Executive Officer of the Punjab Social Protection Authority (PSPA). Key stakeholders from the PSPA, The Urban Unit, and the Bureau of Statistics Punjab participated in the strategic dialogue.

Integrating Registry Profiles with ‘One Map@Punjab’

The core objective of the meeting was to analyze actionable “use cases” of the massive PSER household dataset. The agencies aim to consolidate and visually map this socio-economic data through the provincial government’s newly prioritized ‘One Map@Punjab’ platform—a Geographic Information System (GIS)-based initiative recently backed by a Rs. 14.6 billion development allocation in the provincial budget.

By anchoring household economic data to spatial maps, the initiative will allow provincial administrators to transition from assumption-based resource distribution to absolute, evidence-based decision-making.

Multi-Sector Cross-Verification

The technical committees discussed precise visual and data parameters required across several critical state sectors to ensure public services are delivered accurately:

  • Social Protection & Welfare: Utilizing pre-verified family wealth profiles to eliminate duplication in financial aid and welfare programs.
  • Agriculture & Revenue: Correlating household socio-economic positions with land records and farming demographics to optimize targeted agricultural subsidies.
  • Health & Population: Identifying regional health vulnerabilities and demographic densities to better allocate medical resources and plan infrastructure.
  • Education & Law & Order: Mapping regional literacy gaps and security parameters to guide structural expansions and institutional governance.

Senior provincial officials present at the session included PITB’s Director General e-Governance Sajid Latif, Additional Director Generals Omar Salman, Hammad Hasan Hamdani, Syed Qasim Ifzal, Nausheen Fayyaz, and Ali Kheiri, alongside Director IT Solutions Sajjad Qureshi.

By streamlining secure digital trails and cross-departmental data mapping, PITB and its partner agencies are setting up a highly accountable, integrated visualization framework designed to reshape public service delivery across Punjab.

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