Statistic Oglala South Dakota National
Population 1,878 917,029 336,919,644
Population density (sq mi) 150 12 91
Median age 25.0 36.8 37.7
Male/Female ratio 1.1:1 1.0:1 1.0:1
Married (15yrs & older) 21% 59% 55%
Families w/ Kids under 18 49% 44% 43%
Speak English 74% 94% 79%
Speak Spanish 0% 2% 13%
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Overview of Oglala Demographics

The demographics of Oglala offer invaluable insights into the composition, dynamics and needs of both urban and rural areas, empowering planners, developers and policymakers to foster prosperity, equity, and well-being for all residents. With a population of 1,878, Oglala exhibits a population density of 150 people per square mile, contrasting with the national average of 91. The median age stands at 25, with 21% of individuals aged 15 or older being married and 49% having children under 18. In terms of income equality in Oglala, 42% of households report a median income below $25,000, while 9% report an income exceeding $150,000, showcasing a diverse economic landscape.

Oglala Racial Demographics & Ethnicity

The Oglala racial demographics and ethnicity breakdown serves as a critical tool for understanding and addressing systemic inequities, promoting social justice and inclusion and building stronger, more resilient communities. The racial breakdown in Oglala is 5.6% White, 0% Black or African American, 0% Asian, 91.9% American Indian and 0% Native Hawaiian - 2.5% of the population identify as Hispanic or Latino. Of all households, 74.2% reported speaking English only, while 0% reported speaking Spanish only. A total of 1.3% of residents were considered foreign born.

Oglala Population Density

Areas like Oglala, characterized by below-average population density, offer a quieter lifestyle, closer connection to nature, strong community ties, improved affordability and enhanced safety, appealing to individuals seeking a break from urban life. These regions often boast a more affordable cost of living, with housing prices typically more accessible and residents may benefit from lower taxes, living expenses and insurance rates. Low population density areas also tend to have lower crime rates compared to densely populated urban areas, contributing to a greater sense of security for residents and their families. The Oglala population density is 150 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.

Why are Demographics Important?

Social Cohesion: The analysis and understanding of demographics are essential for promoting social cohesion and fostering appreciation among diverse communities. By embracing and acknowledging differences in Oglala demographics, societies can promote inclusivity, diversity and social harmony while addressing social inequalities and advocating for equal opportunities. Racial demographics can reflect the diversity within a population and are instrumental in fostering inclusive and welcoming communities. Embracing ethnic diversity strengthens social connections, promotes cultural understanding and enriches society by celebrating the contributions of individuals from diverse racial and ethnic backgrounds.

Understanding Populations: Analyzing and interpreting the Oglala demographic data provides us with valuable insights into the characteristics and composition of populations, encompassing age, gender, race, ethnicity, income, education and other socio-economic variables. This understanding is crucial for addressing the diverse needs, preferences and challenges encountered by various demographic groups within communities. Demographics play a crucial role in understanding populations, informing decision-making processes, and advancing equity, inclusion, and overall well-being for all individuals and communities. The Oglala population and demographic data serves as a foundation for addressing social, economic and environmental challenges, while also nurturing the well-being and resilience of societies.

Urban Development: Oglala demographic statistics are invaluable for urban planners in designing and developing areas that cater to residents' needs, encompassing housing, transportation, and public services, all while fostering sustainability and enhancing quality of life. Shifts in demographics can influence gentrification and neighborhood transformation, whether in urban or rural settings. As neighborhoods attract new residents with varying income levels and lifestyle preferences, property values may increase, potentially displacing long-term residents and altering the neighborhood's character. Analyzing population density, age distribution, household size, and income levels is crucial for guiding decisions regarding zoning, transportation infrastructure, housing expansion and public amenities. Utilizing Oglala demographic data in planning and executing affordable housing initiatives can serve as a preventive measure against displacement.

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Demographics Quick Facts

  • The population density in Oglala is 1141% higher than South Dakota
  • The median age in Oglala is 32% lower than South Dakota
  • In Oglala 5.62% of the population is White
  • In Oglala 0.00% of the population is Black
  • In Oglala 0.00% of the population is Asian

Compare Oglala, SD Demographics

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      Oglala racial demographics

      Race Oglala South Dakota National
      White 5.62% 84.77% 73.35%
      Black 0.00% 1.65% 12.63%
      Asian 0.00% 1.33% 5.22%
      American Indian 91.85% 8.72% 0.82%
      Native Hawaiian 0.00% 0.04% 0.18%
      Mixed race 2.53% 2.61% 3.06%
      Other race 0.00% 0.88% 4.75%
      In Oglala, 2.5% of people are of Hispanic or Latino origin.
      Please note: Hispanics may be of any race, so also are included in any/all of the applicable race categories above.

      Household income distribution

      Place of birth by citizenship

      Oglala age breakdown

      Marital status

      Age of children in married couples

      Source: The Oglala, SD demographics data displayed above is derived from the United States Census Bureau American Community Survey (ACS) and include 2026 modeled data developed using proprietary methodologies.