Uganda Purchasing Power, Socio-demographics & Area Boundaries

Welcome to Uganda’s Premier Source of Geodata for Counties and Districts

Discover a comprehensive suite of geodata for Uganda from our extensive global data offering of sociodemographic and purchasing power data. Elevate your geomarketing, target group analyses, and location studies with our detailed insights. MBI provides accurate area boundaries (vector boundaries, polygons) with detailed, seamless coverage of the following areas: Counties and Districts. Our data’s global consistency and comparability enable you to draw comparisons between Uganda and any other country worldwide. Additionally, political risk data allows you to develop targeted adaptation strategies to increase your location, logistics, and investment security.

Tailored for professionals in areas such as expansion planning, risk management, portfolio analysis, and statistical research, our data is accessible in all standard GIS formats and Excel. Licensed from MBI, this data ensures you have the robust information needed for strategic decision-making to drive your sales and business forward and maximize ROI.

Each attribute or geographical level can be licensed individually.

Uganda, often referred to as the “Pearl of Africa”, is a landlocked country with a diverse landscape that includes mountains, lakes, and one of the richest agricultural regions in Africa. Its rapid urbanization and economic growth present unique opportunities and challenges. Uganda’s geodata offerings, centered around the Districts level, provide critical insights for organizations and businesses operating in or planning to enter this dynamic market.

In Uganda, the primary geographical level at which geodata is offered is the Districts level, encompassing a large amount of areas. Available products for these districts include:

• Population: Essential for understanding demographic trends and planning for healthcare, education, and infrastructure.
• Purchasing Power: Offers insights into the economic capabilities of different regions, vital for market entry strategies and product positioning.
• Socio-Demographic Indexes: Provide a multifaceted view of the population, including education, employment, and age indicators, crucial for targeted development programs.
• Digital Boundaries: Facilitate accurate spatial analysis and GIS applications, from resource allocation to environmental monitoring.

Uganda’s geodata landscape provides a stable foundation for informed decision-making across a variety of sectors. The availability of a variety of data products at the district level enables a multidimensional understanding of the country’s diverse challenges and opportunities. For businesses as well as organizations operating within or in partnership with Ugandan entities, leveraging MBI’s geodata can lead to more effective and impactful strategies, fostering sustainable development and economic growth in this vibrant nation.

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 the best 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.

Demographics

Purchasing Power

Risk Data

Mobile Trace Data