South Korea Purchasing Power, Socio-demographics & Area Boundaries

Welcome to South Korea’s Premier Source of Geodata for Postcode 5-digit, Si Gun and Administrative Dong

Discover a comprehensive suite of geodata for South Korea 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: Postcode 5-digit, Si Gun and Administrative Dong. Our data’s global consistency and comparability enable you to draw comparisons between South Korea 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.

South Korea, renowned for its rapid technological advancements and robust economic growth, is leveraging detailed geodata to drive innovation and development. Businesses, both national and international, operating in South Korea can harness MBI’s comprehensive geodata offerings to gain a competitive edge. These data sets support a wide range of applications, from geomarketing and GIS to expansion planning, spatial analysis, transportation planning, location intelligence analysis, and risk management.

MBI’s geodata for South Korea is meticulously detailed across two significant levels:

• Si Gun: Covering cities and counties, this level includes data on Population, Daytime Population, Purchasing Power, Socio Demographics, and Digital Boundaries. These insights support analysis and strategic planning for market analysis and strategic planning, enabling businesses to identify and capitalize on regional economic opportunities.
• Administrative Dong: This level offers insights into South Korea’s administrative neighborhoods, featuring data on Population and Digital Boundaries. It is pivotal for micro-level planning, facilitating targeted marketing strategies that address the specific needs of densely populated urban areas.

By leveraging MBI’s geodata, businesses in South Korea can make data-driven decisions that enhance their market positioning, operational efficiency, and strategic planning. Whether for retail expansion, logistics optimization, targeted marketing, or participating in smart city initiatives, detailed geodata is an invaluable resource for thriving in South Korea’s dynamic business environment.

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