Scenario Lab · PPRI-SCN-001

Redraw the map. Test the assumptions.

Explore a first-pass, district-based administrative scenario using existing geographic units as building blocks. Every boundary below is illustrative and editable; it is not an enacted map or a claim about current government policy.

Checking scenario coverage… Loading source geography.
Important distinction: this tool separates a primary territorial layer from requested federal overlays. Karachi and Gwadar are shown as overlays so the requested federal-territory concept can be explored without silently counting the same land twice.
Interactive scenario map

Loading geographic layers...

View mode: inspect regions and zoom.Edit mode: select a target unit, then click districts to reassign them.Tip: click a colored unit to focus it, or use the search to find a district. Safe to experiment: changes stay in this browser until you export or share them.
Scenario composition

What is included in the first-pass model?

The primary layer uses district/division building blocks. Federal-territory concepts are visualized separately where they overlap the primary layer.

What changed?Move a district in Edit mode to see the live change here.

Primary territorial layer

West Punjab · South Punjab · Bahawalpur · Potohar · Urban Sindh · Rural Sindh · Mehran · Balochistan · Makran · Khyber · South KPK · Hazara · Kohistan.

Federal overlays

Islamabad · Gilgit-Baltistan · Azad Kashmir · Karachi · Gwadar. These are treated as overlays in this scenario so the model can test a federal-status concept without double-counting geography.

Why district-based?

It makes every proposed boundary traceable to existing administrative units instead of drawing arbitrary polygons. Later versions can move from a first-pass model to formally reviewed district assignments.

What the tool does not claim

It does not establish constitutional validity, fiscal viability, public support, legal status or an official PPRI position. Those require separate research.

Next analytical layer

Population, area, fiscal exposure, service access, infrastructure, water systems, representation and transition costs can be added once district-level datasets are verified.

Cartographic Scenario Modeling: Pakistan Administrative Scale & Reorganization

Executive Overview: The PPRI Cartographic Scenario Lab provides interactive spatial modeling tools to examine sub-national administrative restructuring in Pakistan. Based on 2023 Census micro-data across Pakistan's 146 districts and 574 tehsils, the primary illustrative scenario (PPRI-01) evaluates a polycentric 13-unit administrative model designed to optimize citizen proximity, equalize demographic weight, and streamline public expenditure.

Under the baseline 4-province model, average provincial population exceeds 60.3 million citizens—an extreme global outlier compared to India (average 36M), Nigeria (5.8M), the United States (6.7M), or Germany (5.2M). Reorganizing Pakistan into 13 autonomous provincial units reduces average provincial population to 18.5 million citizens, eliminates multi-day travel distances to provincial secretariats, and establishes a balanced Senate and NFC divisible pool distribution without altering external federal borders.

Administrative ModelNumber of Provincial UnitsAverage Population / UnitLargest Unit PopulationSmallest Unit PopulationNFC Divisible Pool Impact
Current Constitutional Baseline4 Provinces (+ICT)60,374,857Punjab (127.69M)Balochistan (14.89M)Single province holds 51.7% share
PPRI-01 13-Unit Model13 Autonomous Units18,576,879Central Punjab (26.8M)Makran & Kalat (4.2M)No unit holds >15% of pool
Divisional Baseline Model33 Divisional Units7,318,164Lahore Div (13.0M)Zhob Division (1.8M)Direct district-cluster funding

Data Benchmark: Official verified public figures from PBS Census 2023, HIES 2024–25, PES 2025–26, and 7th NFC Award documents. Fully crawlable static reference data.

Complete PPRI Policy, Data & Research Index Explore all 25 Policy Articles, 5 Research Reports, 10 Data Observatories, and Reform Frameworks

Policy Articles & Analysis