| Statistic | Baltic | South Dakota | National |
| Population | 1,169 | 884,659 | 328,239,523 |
| Population density (sq mi) | 1,584 | 12 | 91 |
| Median age | 32.8 | 36.8 | 37.7 |
| Male/Female ratio | 1.2:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 69% | 59% | 55% |
| Families w/ Kids under 18 | 64% | 44% | 43% |
| Speak English | 99% | 94% | 79% |
| Speak Spanish | 0% | 2% | 13% |
Baltic demographics provide invaluable insights into the composition, dynamics and needs of urban and rural areas, enabling them to plan, develop, and govern in ways that promote prosperity, equity and well-being for all residents. The Baltic population is 1,169 and has a population density of 1,584 people per square mile, compared to the national average of 91. The median age of all residents is 32.8, 69% of people 15 years of age or older are married and 64% have kids under the age of 18. In Baltic, 10% of households have a median income that is below $25,000 and 12% of households report a median income above $150,000.
The Baltic 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 Baltic is 94.6% White, 0% Black or African American, 0% Asian, 0% American Indian and 0% Native Hawaiian - 0.3% of the population identify as Hispanic or Latino. Of all households, 99.4% reported speaking English only, while 0.2% reported speaking Spanish only. A total of 0% of residents were considered foreign born.
Baltic could serve as a prime example of how areas with higher-than-average population density can champion environmental sustainability by reducing per capita energy consumption, greenhouse gas emissions and land use. Embracing compact urban development, these densely populated areas promote energy-efficient buildings and encourages walking, cycling and public transit use, fostering sustainable lifestyles and minimizing environmental impact. Moreover, densely populated regions are renowned for their vibrant social and cultural scenes, driven by a diverse population that organizes an array of cultural events, festivals and community activities. This cultural diversity ignites creativity, innovation and cross-cultural exchange, enriching the social fabric of the community. The Baltic population density is 1,584, surpassing the national average of 91 per square miles, positioning itself to capitalize on the advantages of dense urban living.
A family-friendly city like Baltic can prioritize the well-being and needs of families, creating an environment where children thrive, parents feel supported and families can enjoy a high quality of life together. Family-friendly cities are also known to foster a strong sense of community, with neighbors supporting and looking out for one another. These areas could also boast excellent educational opportunities, including high-quality schools, libraries and extracurricular activities. Access to quality education is essential for children's development and future success. By prioritizing the well-being of its residents, such cities become vibrant and resilient communities where families can truly flourish. In Baltic, 64% of families have kids under the age of 18 and 69% of residents over 15 years old are married. These demographics put this area in a position to reap the benefits of a family-friendly area.
Policy Planning: Demographic data and statistics can inform policy and decision-making processes at various levels of government, as well as in organizations and businesses. By reporting and analyzing Baltic demographics data, policymakers, government officials and organizational leaders can identify areas of need, allocate resources effectively and develop targeted policies and programs that address the specific needs and priorities of different demographic groups. Baltic demographics can play a crucial role in policy planning by informing resource allocation, evidence-based decision making, identifying priorities, forecasting future trends, monitoring policy impact and promoting equity and inclusion. By leveraging this data effectively, policymakers can develop policies that are targeted, effective and responsive to the needs of diverse communities.
Urban Development: Urban planners can leverage demographics data in Baltic to design and develop areas that cater to residents' needs, spanning housing, transportation, and public services, while prioritizing sustainability and enhancing quality of life. Demographic changes can contribute to gentrification and neighborhood evolution, whether in urban or rural contexts. As neighborhoods attract new residents with diverse income levels and lifestyle preferences, property values may appreciate, potentially displacing longstanding residents and reshaping the neighborhood's identity. Understanding population density, age distribution, household size and income levels is essential for guiding decisions on zoning, transportation infrastructure, housing development and public amenities. Incorporating Baltic demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.
Healthcare Planning: The examination of Baltic demographics can potentially inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. By comprehending demographic trends, healthcare providers and policymakers can allocate resources effectively, develop prevention and intervention programs, and address health inequities within communities. Through the utilization of demographic statistics, healthcare providers and policymakers aim to achieve equitable, accessible, and high-quality healthcare for all individuals and communities. This proactive healthcare planning approach ensures targeted interventions, efficient resource allocation and tailored healthcare services to meet the diverse needs of populations.
| Race | Baltic | South Dakota | National |
| White | 94.61% | 84.77% | 73.35% |
| Black | 0.00% | 1.65% | 12.63% |
| Asian | 0.00% | 1.33% | 5.22% |
| American Indian | 0.00% | 8.72% | 0.82% |
| Native Hawaiian | 0.00% | 0.04% | 0.18% |
| Mixed race | 5.39% | 2.61% | 3.06% |
| Other race | 0.00% | 0.88% | 4.75% |
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