Demographics details for Daytona beach, FL vs Mobridge, SD

Population Overview

Compare main population characteristics in Daytona beach, FL vs Mobridge, SD.

Data Daytona beach Mobridge
Population 77,958 3,228
Median Age 40.2 years 42.4 years
Median Income $47,608 $54,868
Married Families 27.0% 39.0%
Poverty Level 15% 12%
Unemployment Rate 5.0 3.5

Population Comparison: Daytona beach vs Mobridge

  • In Daytona beach, the population is higher at 77,958, compared to 3,228 in Mobridge.
  • The median age in Mobridge is higher at 42.4 years, compared to 40.2 years in Daytona beach.
  • Mobridge has a higher median income of $54,868, compared to $47,608 in Daytona beach.
  • In Mobridge, the percentage of married families is higher at 39.0%, compared to 27.0% in Daytona beach.
  • Daytona beach has a higher poverty level at 15% compared to 12% in Mobridge.
  • The unemployment rate in Daytona beach is higher at 5.0%, compared to 3.5% in Mobridge.

Demographics

Demographics Daytona beach vs Mobridge provide insight into the diversity of the communities to compare.

Demographic Daytona beach Mobridge
Black 30 3
White 52 71
Asian 3 Data is updating
Hispanic 10 1
Two or More Races 5 9
American Indian Data is updating 16

Demographics Comparison: Daytona beach vs Mobridge

  • A higher percentage of Black residents are in Daytona beach at 30% compared to 3% in Mobridge.
  • The percentage of White residents is higher in Mobridge at 71% compared to 52% in Daytona beach.
  • The Asian population is larger in Daytona beach at 3% compared to 0% in Mobridge.
  • The Hispanic community is larger in Daytona beach at 10% compared to 1% in Mobridge.
  • The percentage of residents identifying as two or more races is higher in Mobridge at 9%, compared to 5% in Daytona beach.
  • In Mobridge, the percentage of American Indian residents is higher at 16%, compared to 0% in Daytona beach.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Daytona beach Mobridge
Mental Health Not Good 17.9% 13.7%
Physical Health Not Good 13.9% 9.5%
Depression 20.8% 16.9%
Smoking 25.2% 18.0%
Binge Drinking 16.0% 19.9%
Obesity 38.5% 35.8%
Disability Percentage 17.0% 14.0%

Health Statistics Comparison: Daytona beach vs Mobridge

  • More residents in Daytona beach report poor mental health at 17.9% compared to 13.7% in Mobridge.
  • Depression is more prevalent in Daytona beach at 20.8% compared to 16.9% in Mobridge.
  • Smoking is more prevalent in Daytona beach at 25.2% compared to 18.0% in Mobridge.
  • More residents engage in binge drinking in Mobridge at 19.9% compared to 16.0% in Daytona beach.
  • Obesity rates are higher in Daytona beach at 38.5% compared to 35.8% in Mobridge.
  • Disability percentages are higher in Daytona beach at 17.0% compared to 14.0% in Mobridge.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Daytona beach Mobridge
No Schooling 1.4% (1,065) 1.1% (37)
High School Diploma 17.5% (13,654) 18.6% (599)
Less than High School 11.3% (8,833) 6.9% (224)
Bachelor's Degree and Higher 16.5% (12,881) 19.1% (615)

Education Levels Comparison: Daytona beach vs Mobridge

  • A higher percentage of residents in Daytona beach have no formal schooling at 1.4% compared to 1.1% in Mobridge.
  • In Mobridge, the rate of residents with high school diplomas is higher at 18.6% compared to 17.5% in Daytona beach.
  • More residents in Daytona beach have less than a high school education at 11.3% compared to 6.9% in Mobridge.
  • In Mobridge, a larger share of residents have a bachelor's degree or higher at 19.1% compared to 16.5% in Daytona beach.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.