Purchasing power data and socio-demographic data can be displayed on a map of Angola using the following area boundaries: Municípios.

Angola 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 Angola.

A Variety of Purchasing Power and Socio-demographic Data for Municípios in Angola

Here is an overview of sociodemographic and purchasing power data for Angola from our global data offering to bring your geomarketing, target group analyses and location analyses to the next level. Additionally, for Angola we also have the following area boundaries (vector boundaries, polygons) available: Seamless and full country coverage of the Municípios. Our globally consistent and comparable data allows you to draw comparisons between Angola and any other country in the world.

Data that can currently be licensed from mbi for Angola

Each attribute or geographical level can be licensed individually.

Geographic level
Area leveladmin
NameMunicípios
Number of areas164
Geometry
PolygonsYes/Available
Data / Variables
PopulationYes/Available
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  • = available
  • = not available

Angola’s Geodata Landscape: A Gateway to Informed Decision-Making in Africa

Angola, a country with vast natural resources and a rapidly evolving economy, presents significant opportunities and challenges across various sectors. The country’s diverse landscape, from coastal regions to inland savannas and rainforests, requires detailed and accurate geodata for effective planning and development. MBI’s offerings in the administrative division of municipalities (Municípios), provide crucial insights for professionals in geomarketing, GIS, expansion planning, spatial analysis, location intelligence analysis, and risk management.

Geographical Levels and Products

In Angola, the focus is on the administrative level of Municípios (municipalities). The administrative area level for Angola is exceptionally granular, dividing the country into a large number of Municípios. This detailed segmentation is essential for understanding the complex demographic landscapes of Angola. MBI offers the following products for these areas:

  • Population Data: Essential for demographic analysis, helping to understand population density, growth trends, and urban vs. rural distribution.
  • Digital Boundaries: Critical for precise mapping and spatial analysis, enabling effective planning, resource allocation, and policy development.

Country-Specific Insights

Angola’s path to recovery and growth post-conflict presents unique challenges and opportunities. The availability of detailed population data and digital boundaries for municipalities enables targeted strategies for infrastructure development, healthcare, education, and economic diversification. For instance, Angola’s agriculture sector, a key driver of economic recovery and food security, can benefit immensely from informed spatial planning and resource allocation based on accurate geodata.

Use Case

An interesting use case of MBI’s geodata in Angola could be the strategic expansion of healthcare services. By leveraging detailed population data and digital boundaries, non-governmental organizations are able to identify underserved municipalities, directing resources to establish healthcare facilities in areas with the most critical needs. Another example includes urban planning in growing cities, where authorities could utilize MBI’s geodata for efficient public transportation routes and infrastructure development, addressing the cities’ rapid growth and congestion challenges.

Why Use Geodata from MBI for Angola

MBI’s geodata offerings for Angola are invaluable tools in navigating the complexities of development and strategic planning in one of Africa’s most resource-rich countries. The detailed insights provided into Angola’s municipalities pave the way for data-driven decisions, fostering sustainable growth and improved quality of life. For professionals across various sectors, leveraging this detailed geodata means unlocking the potential of Angola’s diverse regions, driving innovation, and contributing to the country’s forward momentum.

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.

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

Text file (CSV/TSV) | KML | Access database (MDB) | Excel (xls) | Esri Shapefile (.shp) | Esri Geodatabase (.gdb) | MapInfo (.tab) | MapInfo MIF/MID | 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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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.

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