Purchasing power data and socio-demographic data can be displayed on a map of Gabon using the following area boundaries: Provinces and 100 x 100 m Grid / H3 Hexagons.

Gabon Purchasing Power, Socio-demographics & Area Boundaries

Socio-demographic data, purchasing power data and area boundaries can be used to perform a variety of data analyses about Gabon.

Your trusted Source of Geodata for Gabon for Provinces and 100 x 100 m Grid / H3 Hexagons

Discover an excerpt from our global portfolio of sociodemographic data, purchasing power data, and digital area boundaries for Gabon. Our high-quality market data provides a reliable foundation for geomarketing, target group analysis, and location analysis. The following vector boundaries (polygons) are available for the entire country, with complete and seamless coverage: Provinces and 100 x 100 m Grid / H3 Hexagons. In addition, our political risk database supports the development of targeted strategies to enhance the security of your locations, supply chains, and investments.

MBI’s globally consistent and comparable data enables you to compare Gabon with any other country worldwide. Our data is also designed for AI-driven applications: structured, traceable data with clear data lineage and robust data governance supports integration into modern analytics and AI workflows. Our data is tailored to professionals in expansion planning, risk management, portfolio analysis, and statistical research and is available for licensing in standard GIS formats and Excel.

Data that can currently be licensed from mbi for Gabon

Each attribute or geographical level can be licensed individually.

Geographic level
Area levelAdministrativeGrid / Hexagons
NameProvinces100 x 100 m Grid / H3 Hexagons
Number of areas9
Geometry
PolygonsYes/AvailableNo/Not Available
Data / Variables
PopulationYes/AvailableYes/Available
Political RiskYes/AvailableNo/Not Available
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Additional Political Risk Data by Regions
RegionsSUSAFE BasicCalculated TrendsConflict Insights
Self-Explaining Political Risk Data9Yes/AvailableYes/AvailableYes/Available
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  • = available
  • = not available

Geodata for Gabon: Navigating Development in the Heart of Africa

Gabon, with its rich biodiversity, vast rainforests, and strategic economic position in Central Africa, stands at a crossroads of conservation and development. Gabon’s economy, driven by oil, mining, and timber, alongside a growing focus on tourism and sustainable agriculture, stands to benefit from the strategic application of geodata. For example, population data assists in targeting healthcare and educational services, while digital boundaries are invaluable for planning protected areas, optimizing resource extraction sites, and developing sustainable tourism infrastructure. Additionally, Gabon’s pioneering efforts in environmental conservation, such as its network of protected areas, are supported by detailed spatial analysis.

Geographical Levels and Products

For Gabon, MBI’s geodata is organized at the “Provinces” level. This level of detail enables a broad understanding of Gabon’s geographic and demographic diversity. The available products include:

  • Population Data: Crucial for demographic studies, supporting public health initiatives, education planning, and infrastructure development.
  • Digital Boundaries: Key for accurate mapping and spatial analysis, crucial for environmental conservation efforts, urban planning, and the strategic development of infrastructure.

These products are tailored to support the diverse needs of stakeholders, enabling informed decision-making that balances economic development with environmental stewardship.

Use Case

Sustainable Resource Management: A multinational corporation used digital boundaries and population data to plan sustainable logging operations, minimizing environmental impact while supporting local communities.

Why Use Geodata from MBI for Gabon

Whether for managing natural resources, planning infrastructure, or developing the tourism sector, MBI’s geodata is an indispensable resource for Gabon.

Advantages of our administrative Boundaries

  • Worldwide, seamless coverage of postal and administrative boundaries
  • The layers are topographically correct and country borders fit seamlessly together without overlaps and gaps
  • Data and areas can be easily combined in one layer thanks to a unique key, enabling cross-country analysis
  • Constant updates guarantee a current data status
  • The vintage compatibility between the MBI boundaries and the MBI Sociodemographic and Purchasing Power data is guaranteed
  • Simple update by uniform layout of the layer names
  • The higher-level area hierarchies are included with the boundary files
  • Digital boundaries are in a vector format to allow visualization in any zoom levels

Smart Combination

The territorial vintages of the worldwide area boundaries are compatible with our globally consistent and comparable socio-economic data. We offer you a reliable basis for well-founded and data-based decisions. If desired, we can integrate the MBI data directly into our digital boundaries. So, you can load them directly into your system without any additional steps and use them immediately.

COUNTRY AVAILABILITY

Europe | North America | South America | Asia | Oceania | Africa

AREA BOUNDARIES

• Postcode Level
• Administrative Area Level
• Small Area Level

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DATA FORMATS

Tab delimited file (TXT) | KML | Access database (MDB) | Excel (xls) | Esri Shapefile (.shp) | Esri Geodatabase (.gdb) | MapInfo (.tab, .tabx) | MapInfo MIF/MID | GeoJSON | GeoParquet (.parquet) | GeoPackage (.gpkg) | more on request

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DATALINK API

Easy access to a variety of MBI data
• Datalink Desktop
• Datalink Rest API

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TELL US WHERE YOU ARE HEADING.
WE WILL GLADLY ASSIST YOU IN SELECTING THE DATA NEEDED TO REACH YOUR GOAL.

Didn’t find what you are looking for or have another question? Please do not hesitate to contact us!

Our experts will be happy to advise you individually and without obligation on which data you can use to create added value for your company and realize savings.

Would you like to evaluate and visualize the data?

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