Population

The number and distribution of people living around a mining asset can provide important context during early-stage screening.

Assets in remote, sparsely populated areas can face very different development considerations from projects located near established towns or within more densely populated regions. Nearby population can influence stakeholder engagement, access to labour and services, infrastructure requirements, community impacts and the complexity of project development.

Global Mining Dataset uses WorldPop population estimates to provide a consistent view of the population surrounding each asset. The population layer considers both the number of people living within defined distances of an asset and the broader settlement pattern around the site.

Population values are estimates rather than population counts collected directly at the mine site. They are designed to help identify where social, stakeholder and settlement analysis may need to move earlier in the review process.

Population within 10 km provides an indication of the immediate human context surrounding an asset.

A higher population within this area may indicate nearby settlements, communities or urban development. This can be relevant when considering potential community interaction, land-use pressures, workforce availability and the wider social context of a project.

Conversely, a very low population can indicate a comparatively remote asset, which may reduce some forms of direct community interaction but introduce different challenges around workforce access, services and supporting infrastructure.

Population within 25 km provides a broader view of the settlement environment surrounding an asset.

It can help identify assets that appear relatively isolated immediately around the site but are located within a wider populated district, as well as assets situated within broader concentrations of towns and communities.

Comparing the 10 km and 25 km measures can also provide useful context on how population is distributed:

• Low population at both distances can indicate a remote and sparsely populated location.
• Low population within 10 km but higher population within 25 km may indicate an asset outside an established settlement or regional centre.
• High population within 10 km indicates that a significant population is located relatively close to the asset.

These patterns can often be more informative during screening than either population figure viewed in isolation.

Population density provides additional context on how intensively the surrounding area is populated.

Two assets may have similar populations within 25 km but very different settlement patterns. One could sit near a compact town surrounded by largely unpopulated land, while another could be located within a continuously populated landscape.

Density helps distinguish between these contexts and provides an additional basis for comparing assets across different regions. It should be interpreted alongside the underlying population distribution rather than as a standalone measure of social impact.

Population distribution can be as important as the total number of people living nearby.

The population layer can help identify whether an asset is located in a largely unpopulated area, surrounded by dispersed rural populations, close to one or more established settlements, or situated within a more densely populated regional or urban environment.

Viewing population spatially around an asset can therefore provide useful context that may not be apparent from headline population figures alone. This can help identify where more detailed settlement and stakeholder analysis may be required.

Population indicators are intended to answer a broad screening question: how many people live around this asset, and what does the surrounding settlement pattern look like?

They can be useful when considering:

• Community and stakeholder context
• Potential resettlement or land-use considerations
• Access to local labour
• Proximity to towns and services
• Infrastructure and access requirements
• Broader social baseline requirements

Population should not be interpreted as a risk score by itself. A higher nearby population does not necessarily make an asset less attractive, and a remote asset is not necessarily less complex. The implications depend on the specific project, surrounding communities, land use and development context. For example being located near a population center can simultaneously provide the benefits of being near a steady supply of employees, while also incurring the drawbacks of being near residential areas.

Population estimates are derived from WorldPop, which provides high-resolution gridded population datasets covering countries around the world.

Rather than assigning an entire administrative area's population uniformly across its territory, gridded population datasets estimate how populations are distributed geographically. This allows population surrounding individual mining assets to be estimated consistently regardless of administrative boundaries.

WorldPop provides modelled population estimates and should not be interpreted as an exact count of people living within a particular distance of an asset.

Population estimates may differ from local census information or more recent settlement data, particularly in areas experiencing rapid population change, displacement or limited underlying data availability.

The population layer also does not identify:

• Individual communities or households
• Indigenous Peoples or traditional land users
• Land ownership or tenure
• Community boundaries
• Resettlement requirements
• Stakeholder relationships
• Seasonal or temporary populations
• Project-specific areas of influence

Population screening should therefore be used to understand the broad human and settlement context surrounding an asset and to identify where more detailed social and stakeholder analysis may be appropriate.