Statistic Sidney Ohio National
Population 21,359 12,145,682 336,919,644
Population density (sq mi) 1,785 297 91
Median age 38.8 39.3 37.7
Male/Female ratio 1.0:1 1.0:1 1.0:1
Married (15yrs & older) 53% 56% 55%
Families w/ Kids under 18 42% 42% 43%
Speak English 96% 93% 79%
Speak Spanish 2% 2% 13%
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Overview of Sidney Demographics

The demographics of Sidney 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 21,359, Sidney exhibits a population density of 1,785 people per square mile, contrasting with the national average of 91. The median age stands at 38.8, with 53% of individuals aged 15 or older being married and 42% having children under 18. In terms of income equality in Sidney, 20% of households report a median income below $25,000, while 12% report an income exceeding $150,000, showcasing a diverse economic landscape.

Sidney Racial Demographics & Ethnicity

The Sidney racial demographics and ethnicity breakdown could be indispensable tools for recognizing and rectifying systemic inequities, fostering social justice and inclusion and cultivating resilient communities. In Sidney, the racial breakdown reveals 89.8% White, 5.3% Black or African American, 1.3% Asian, 0.4% American Indian and 0% Native Hawaiian, with 2.9% of the population identifying as Hispanic or Latino. Of all households, 96.1% reported speaking English only, while 1.5% reported speaking Spanish only. Moreover, 2.6% of residents were classified as foreign-born.

Sidney Population Density

Sidney 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 Sidney population density is 1,785, surpassing the national average of 91 per square miles, positioning itself to capitalize on the advantages of dense urban living.

Why are Demographics Important?

Healthcare Planning: An analysis of Sidney demographics can inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. Understanding demographic trends allows healthcare providers and policymakers to allocate resources effectively, develop prevention and intervention programs and address health inequities within communities. Leveraging demographic data, healthcare providers, and policymakers strive 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 customized healthcare services to meet the diverse needs of populations.

Social Cohesion: Analyzing demographics is vital for nurturing social cohesion and fostering understanding among diverse communities. By embracing and respecting variations in Sidney demographics, societies can advance inclusivity, diversity and social unity while combatting social inequalities and advocating for equal opportunities. Racial demographics mirror the diversity within a population and can be instrumental in cultivating inclusive and inviting communities. Embracing diversity strengthens social bonds, fosters cultural appreciation and enriches society by acknowledging the contributions of individuals from various racial and ethnic backgrounds.

Urban Development: Urban planners can leverage demographics data in Sidney 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 Sidney demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.

Demographics Quick Facts

  • The population density in Sidney is 501% higher than Ohio
  • The median age in Sidney is 1% lower than Ohio
  • In Sidney 89.76% of the population is White
  • In Sidney 5.30% of the population is Black
  • In Sidney 1.33% of the population is Asian

Compare Sidney, OH Demographics

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      Sidney racial demographics

      Race Sidney Ohio National
      White 89.76% 82.16% 73.35%
      Black 5.30% 12.27% 12.63%
      Asian 1.33% 1.94% 5.22%
      American Indian 0.42% 0.19% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 2.98% 2.57% 3.06%
      Other race 0.22% 0.85% 4.75%
      In Sidney, 2.9% 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

      Sidney age breakdown

      Marital status

      Age of children in married couples

      Source: The Sidney, OH 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.