Punjab
First-level unit, Pakistan: people, area, the units inside and neighbours, with risk values when released.
Inside Punjab
The 34 ADM2 units of Punjab.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
134,820,739
54.1% of Pakistan.
128,874,255
-4% against GHSL; the two grids differ in method.
202,118 km²
667 people per km².
PK-PB
Subdivision code as carried by the boundary source.
Punjab in humanitarian data
Source observations from the Humanitarian Data Exchange, matched to this unit by name, each with its reference date, provider and licence. They are not index values.
25.2%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
156%
of the long-term average, latest dekad. WFP – World Food Programme · Creative Commons Attribution International (CC BY).
34 units inside Punjab
Each unit has its own page.
Boundary licences: Public Domain
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Attock | – | 2,560,973 | 2,474,628 | 6,857.37 | 373 | 1.9% | 0 |
| Bahawalnagar | – | 3,716,509 | 3,442,444 | 7,505.54 | 495 | 2.8% | 0 |
| Bahawalpur | – | 4,764,947 | 4,695,067 | 24,589.91 | 194 | 3.5% | 0 |
| Bhakkar | – | 1,854,498 | 1,906,385 | 7,713.24 | 240 | 1.4% | 0 |
| Chakwal | – | 1,978,406 | 1,745,718 | 6,516.04 | 304 | 1.5% | 0 |
| Dera Ghazi Khan | – | 3,172,281 | 3,454,229 | 15,768.98 | 201 | 2.4% | 0 |
| Faisalabad | – | 10,717,659 | 9,254,781 | 5,738.27 | 1,868 | 7.9% | 0 |
| Gujranwala | – | 6,103,053 | 5,909,936 | 3,443.33 | 1,772 | 4.5% | 0 |
| Gujrat | – | 3,824,680 | 3,337,368 | 3,380.03 | 1,132 | 2.8% | 0 |
| Hafizabad | – | 1,666,544 | 1,543,692 | 2,470.45 | 675 | 1.2% | 0 |
| Jhang | – | 4,855,876 | 4,632,883 | 8,891.57 | 546 | 3.6% | 0 |
| Jhelum | – | 1,722,645 | 1,512,838 | 3,694.95 | 466 | 1.3% | 0 |
| Kasur | – | 4,031,666 | 3,976,220 | 3,930.98 | 1,026 | 3% | 0 |
| Khanewal | – | 3,926,221 | 3,625,717 | 4,798.93 | 818 | 2.9% | 0 |
| Khushab | – | 1,545,545 | 1,419,045 | 6,555.27 | 236 | 1.1% | 0 |
| Lahore | – | 12,803,304 | 12,880,107 | 1,677.13 | 7,634 | 9.5% | 0 |
| Layyah | – | 1,978,374 | 2,111,004 | 6,037.06 | 328 | 1.5% | 0 |
| Lodhran | – | 2,441,980 | 2,385,087 | 3,112.35 | 785 | 1.8% | 0 |
| Mandi Bahauddin | – | 2,042,374 | 1,872,681 | 2,868.65 | 712 | 1.5% | 0 |
| Mianwali | – | 1,832,860 | 1,757,766 | 5,477.62 | 335 | 1.4% | 0 |
| Multan | – | 5,625,300 | 5,619,543 | 3,582 | 1,570 | 4.2% | 0 |
| Muzaffargarh | – | 4,773,533 | 5,126,871 | 8,085.19 | 590 | 3.5% | 0 |
| Narowal | – | 2,500,211 | 2,246,389 | 2,597.26 | 963 | 1.9% | 0 |
| Okara | – | 3,949,918 | 3,512,895 | 3,999.12 | 988 | 2.9% | 0 |
| Pakpattan | – | 2,274,744 | 2,170,363 | 2,691.88 | 845 | 1.7% | 0 |
| Rahim Yar Khan | – | 5,505,220 | 5,431,643 | 11,958.97 | 460 | 4.1% | 0 |
| Rajanpur | – | 1,852,101 | 2,197,618 | 7,409.26 | 250 | 1.4% | 0 |
| Rawalpindi | – | 4,611,079 | 4,820,764 | 5,962.52 | 773 | 3.4% | 0 |
| Sahiwal | – | 3,277,632 | 2,898,552 | 3,131.86 | 1,047 | 2.4% | 0 |
| Sargodha | – | 4,858,322 | 4,373,614 | 5,917.67 | 821 | 3.6% | 0 |
| Sheikhpura | – | 6,953,149 | 6,481,020 | 6,159.07 | 1,129 | 5.2% | 0 |
| Sialkot | – | 4,817,900 | 4,515,599 | 2,878.71 | 1,674 | 3.6% | 0 |
| Toba Tek Singh | – | 2,978,226 | 2,568,197 | 3,052.12 | 976 | 2.2% | 0 |
| Vihari | – | 3,303,011 | 2,973,592 | 3,665.81 | 901 | 2.4% | 0 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 9,919.3 H3 cells
- Ports
- None at this resolution
- Airports
- 6 H3 cells
- Major roads
- 5,098.2 H3 cells
- Railways
- 3,943.1 H3 cells
- Rivers and lakes
- 2,377.2 H3 cells
Risk values
Neighbouring units
- PK-BABalochistan
- PK-SDSindh
- PK-JKAzad Kashmir
- PK-KPKhyber Pakhtunkhwa
- PK-ISIslamabad Capital Territory
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen PAK ADM1, source: geoBoundaries, Wikipedia, licence: Public Domain · source · represents 2019
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen PAK ADM2, source: geoBoundaries, Wikipedia, licence: Public Domain · source · represents 2019
- ADM3 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen PAK ADM3, source: Pathways Data Pvt. Ltd., https//www.pbs.gov.pk/content/population-census/ © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- Basemap
- OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
- Terrain
- Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- Countries
- Natural Earth (public domain).
- Elevation
- GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.
What NXS-GRX is not
NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.
Pulse signals and outlook probabilities are information for review by competent authorities, never public warnings; official warnings come only from mandated authorities.
Institutions and sources
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.