Current Date And Time In Guainía Department, Colombia
Sunday, 26 July 2026
05:18:59 COT
Capital: Inírida
Currency: Colombian Peso (COP)
Timezone: UTC -05:00 (COT)
Population: 35,230
Area: 72,238.00 km²
State Code: GUA
Analyze the localized urban landscape and settlements within San Felipe District, located in Guainía Department, Colombia. This focused directory details the municipalities, towns, and villages under the jurisdiction of the San Felipe administrative division, including key geographic data, official populations, elevation, and precise GPS coordinates. Ideal for localized logistics, targeted market expansion, demographic research, and community-level regional analysis.
Discover the largest towns and local urban centers within San Felipe District ranked by official census population. This district-level demographics directory details key population distributions across the district's municipal divisions, supporting localized market entry and demographic research.
Explore the largest settlements and municipal areas within San Felipe District ordered by land surface area. This spatial directory outlines the geographic footprint of local towns, villages, and divisions within the district to aid regional logistics and local zoning analysis.
Analyze the demographic concentration within San Felipe District by checking the most densely populated towns. This localized density index highlights high-concentration urban quarters and heavily inhabited areas inside the district boundaries, calculated by dividing residents by local land area.
Browse the administrative structure of Guainía Department, Colombia by exploring cities organized by their respective local administrative districts and divisions. Click on any district card to view the localized directory of towns and municipal subdivisions within that boundary, along with detailed district-level demographics, city counts, and geographic distributions.
The population distribution across Guainía Department serves as a vital index for market penetration and consumer demand analysis. Understanding the distinction between high-density metropolitan areas and regional towns allows enterprises to optimize resource allocation. Structured demographic data helps evaluate labor pools, urban growth trends, and consumer concentration, facilitating data-driven strategic planning for businesses operating in Colombia. You can check the Guainía Department Overview for a comprehensive look at the state's main indicators.
Geographical coordinates (latitude and longitude) and administrative boundaries in Guainía Department form the foundation of modern logistics networks. Supply chain managers and GIS specialists utilize this data to optimize distribution hubs, route planning, and fleet efficiency. By mapping regional hubs using our interactive Guainía Department Map & Location Guide, companies can minimize transit times, enhance last-mile delivery operations, and reduce overall transport expenditures.
Expanding businesses rely on regional database directories to identify growth opportunities. Evaluating cities by size and district organization highlights untapped regional hubs and areas ripe for commercial footprint expansion. These location metrics assist in identifying localized trade areas, comparing administrative subdivisions, and assessing the commercial feasibility of prospective branch locations. To analyze bordering markets, consult the Nearby States directory.
There are 1 officially recorded cities, towns and local municipal divisions within San Felipe District, Guainía Department, Colombia.
The most populous city within San Felipe District is San Felipe with a recorded population of 982 residents.
The cities and towns in San Felipe District have an average elevation of 86 meters (equivalent to 282 feet) above sea level, providing key geographic intelligence for logistics and planning.
For complete location intelligence, market research, and strategic decision-making, you can browse the interactive Guainía Department Map and the comprehensive Guainía Department Travel Guide, which highlight transport links, regional boundaries, and local travel details.
