Demographics details for Riceville, IA vs Daytona beach, FL

Population Overview

Compare main population characteristics in Riceville, IA vs Daytona beach, FL.

Data Riceville Daytona beach
Population 803 77,958
Median Age 36.3 years 40.2 years
Median Income $48,009 $47,608
Married Families 41.0% 27.0%
Poverty Level 8% 15%
Unemployment Rate 2.5 5.0

Population Comparison: Riceville vs Daytona beach

  • The population in Daytona beach is higher at 77,958, compared to 803 in Riceville.
  • The median age in Daytona beach is higher at 40.2 years, compared to 36.3 years in Riceville.
  • Riceville has a higher median income of $48,009 compared to $47,608 in Daytona beach.
  • A higher percentage of married families is found in Riceville at 41.0% compared to 27.0% in Daytona beach.
  • The poverty level is higher in Daytona beach at 15%, compared to 8% in Riceville.
  • Daytona beach has a higher unemployment rate at 5.0% compared to 2.5% in Riceville.

Demographics

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

Demographic Riceville Daytona beach
Black Data is updating 30
White 87 52
Asian Data is updating 3
Hispanic 10 10
Two or More Races 3 5
American Indian Data is updating Data is updating

Demographics Comparison: Riceville vs Daytona beach

  • In Daytona beach, the percentage of Black residents is higher at 30% compared to 0% in Riceville.
  • Riceville has a higher percentage of White residents at 87% compared to 52% in Daytona beach.
  • In Daytona beach, the Asian population stands at 3%, greater than 0% in Riceville.
  • The percentage of Hispanic residents is the same in both Riceville and Daytona beach at 10%.
  • The percentage of residents identifying as two or more races is higher in Daytona beach at 5%, compared to 3% in Riceville.
  • The percentage of American Indian residents is the same in both Riceville and Daytona beach at 0%.

Health Statistics

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

Health Metric Riceville Daytona beach
Mental Health Not Good 16.8% 17.9%
Physical Health Not Good 11.1% 13.9%
Depression 20.0% 20.8%
Smoking 20.3% 25.2%
Binge Drinking 21.2% 16.0%
Obesity 38.2% 38.5%
Disability Percentage 15.0% 17.0%

Health Statistics Comparison: Riceville vs Daytona beach

  • In Daytona beach, a higher percentage report poor mental health at 17.9% compared to 16.8% in Riceville.
  • Higher depression rates are seen in Daytona beach at 20.8% versus 20.0% in Riceville.
  • Daytona beach has a higher smoking rate at 25.2% compared to 20.3% in Riceville.
  • Binge drinking is more common in Riceville at 21.2% compared to 16.0% in Daytona beach.
  • Daytona beach has higher obesity rates at 38.5% compared to 38.2% in Riceville.
  • There is a higher percentage of disabled individuals in Daytona beach at 17.0% compared to 15.0% in Riceville.

Education Levels

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

Education Level Riceville Daytona beach
No Schooling 0.1% (1) 1.4% (1,065)
High School Diploma 27.9% (224) 17.5% (13,654)
Less than High School 9.5% (76) 11.3% (8,833)
Bachelor's Degree and Higher 16.6% (133) 16.5% (12,881)

Education Levels Comparison: Riceville vs Daytona beach

  • In Daytona beach, a larger percentage of residents lack formal schooling at 1.4% compared to 0.1% in Riceville.
  • A higher percentage of residents in Riceville hold a high school diploma at 27.9% compared to 17.5% in Daytona beach.
  • The percentage of residents with less than a high school education is higher in Daytona beach at 11.3%, compared to 9.5% in Riceville.
  • A higher percentage of residents in Riceville hold a bachelor's degree or higher at 16.6% 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.