Current Date And Time In Rondônia, Brazil
Sunday, 28 June 2026
07:36:47 BRT
Capital: Porto Velho
Currency: Brazilian Real (BRL)
Timezone: UTC -03:00 (BRT)
Population: 1,815,278
Area: 237,765.30 km²
State Code: RO
Analyze the localized urban landscape and settlements within Alta Floresta D'oeste District, located in Rondônia, Brazil. This focused directory details the municipalities, towns, and villages under the jurisdiction of the Alta Floresta D'oeste 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 Alta Floresta D'oeste 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 Alta Floresta D'oeste 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 Alta Floresta D'oeste 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 Rondônia, Brazil 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 Rondônia 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 Brazil. You can check the Rondônia Overview for a comprehensive look at the state's main indicators.
Geographical coordinates (latitude and longitude) and administrative boundaries in Rondônia 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 Rondônia 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 3 officially recorded cities, towns and local municipal divisions within Alta Floresta D'oeste District, Rondônia, Brazil.
The most populous city within Alta Floresta D'oeste District is Rolim de Moura do Guaporé with a recorded population of 37,949 residents.
The cities and towns in Alta Floresta D'oeste District have an average elevation of 268 meters (equivalent to 879 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 Rondônia Map and the comprehensive Rondônia Travel Guide, which highlight transport links, regional boundaries, and local travel details.
