PAKISTAN WELFARE ATLAS DASHBAORD
Accurate and accessible socioeconomic data is essential for effective national planning and policy evaluation. The Pakistan Social and Living Standards Measurement (PSLM) comparison dashboard presents consolidated comparative data tracing changes in household living standards, development indicators, and public welfare across Pakistan over a two-decade horizon. Developed using official data metrics and historical benchmarks provided by Gallup Pakistan, this interactive dashboard transforms raw survey statistics into clear, visual insights for researchers, economists, policymakers, and the general public.
By digitizing and visualizing PSLM trends from 2004-05 to 2025, the dashboard enables users to quickly assess long-term shifts in living standards, regional development disparities, and key socio-economic indicators across the country.
Explore Pakistan's Socioeconomic Transition
The dashboard provides a structured overview of household characteristics and core development indicators tracked through national surveys. Users can analyze:
Long-term trends in household living standards and asset ownership over time
Regional and provincial disparities in social development indicators
Key shifts in education, health, housing, and basic utility access
Comparative macroeconomic and microeconomic wellbeing metrics between 2004-05 and 2025
Data completeness, sample reliability, and structural consistency across survey cycles
This helps stakeholders understand structural socio-economic changes, identify developmental progress or stagnation, and support evidence-based policy design for public welfare.
Key Features
Executive Overview: A high-level snapshot of national progress — comparing headline socioeconomic indicators, overall welfare improvements, and major developmental shifts between 2004-05 and 2025.
Living Standards Analytics: A deep dive into household assets, economic stratification, income proxy indicators, and lifestyle transformations across the survey periods.
Education & Health Metrics: Detailed breakdowns of literacy rates, enrollment trends, educational attainment, and basic healthcare access patterns across regions.
Housing & Infrastructure Insights: Analysis of access to improved drinking water, sanitation facilities, electricity sources, and housing structural types over time.
Provincial & Regional Comparisons: Tracking progress across administrative provinces and urban-rural divides to highlight localized developmental achievements and gaps.
Data Quality & Methodology Audit: An internal reference layer detailing survey parameters, sampling methodologies, and comparability guidelines across the two decades of data collection.
Indicator Search & Custom Lookups: A searchable interface to filter specific social indicators, provinces, or years for targeted data retrieval and cohort analysis.
Interactive Filtering: Users can filter data by province, urban/rural designation, sector, and specific survey years to generate customized views tailored to their analytical needs.
Stay Updated with Pakistan’s Macroeconomic Sentiment
Alongside social and living standards data, integrating perspectives from platforms like the Pakistan Consumer Confidence Index Dashboard provides a comprehensive view of the economy through the lens of everyday citizens, empowering stakeholders to make fully informed, data-backed decisions
Disclaimer
The data presented in this dashboard is sourced from official Pakistan Social and Living Standards Measurement (PSLM) surveys and comparative research publications by Gallup Pakistan. The information has been compiled and visualized for improved research accessibility and public awareness.
Some metrics or sub-categories across the 2004-05 and 2025 datasets may rely on standardized harmonized definitions to ensure comparability; where methodological adjustments occur, they are explicitly noted. This dashboard is intended for general informational and analytical purposes only. Figures reflect official findings without unauthorized alteration, maintaining transparency regarding historical data gaps or reporting limits.
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