Demographics details for Daytona beach, FL vs Manitowoc, WI

Population Overview

Compare main population characteristics in Daytona beach, FL vs Manitowoc, WI.

Data Daytona beach Manitowoc
Population 77,958 34,570
Median Age 40.2 years 42.9 years
Median Income $47,608 $60,040
Married Families 27.0% 36.0%
Poverty Level 15% 8%
Unemployment Rate 5.0 3.3

Population Comparison: Daytona beach vs Manitowoc

  • In Daytona beach, the population is higher at 77,958, compared to 34,570 in Manitowoc.
  • The median age in Manitowoc is higher at 42.9 years, compared to 40.2 years in Daytona beach.
  • Manitowoc has a higher median income of $60,040, compared to $47,608 in Daytona beach.
  • In Manitowoc, the percentage of married families is higher at 36.0%, compared to 27.0% in Daytona beach.
  • Daytona beach has a higher poverty level at 15% compared to 8% in Manitowoc.
  • The unemployment rate in Daytona beach is higher at 5.0%, compared to 3.3% in Manitowoc.

Demographics

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

Demographic Daytona beach Manitowoc
Black 30 2
White 52 83
Asian 3 5
Hispanic 10 6
Two or More Races 5 4
American Indian Data is updating Data is updating

Demographics Comparison: Daytona beach vs Manitowoc

  • A higher percentage of Black residents are in Daytona beach at 30% compared to 2% in Manitowoc.
  • The percentage of White residents is higher in Manitowoc at 83% compared to 52% in Daytona beach.
  • In Manitowoc, the Asian population stands at 5%, greater than 3% in Daytona beach.
  • The Hispanic community is larger in Daytona beach at 10% compared to 6% in Manitowoc.
  • More residents identify as two or more races in Daytona beach at 5% compared to 4% in Manitowoc.
  • The percentage of American Indian residents is the same in both Daytona beach and Manitowoc at 0%.

Health Statistics

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

Health Metric Daytona beach Manitowoc
Mental Health Not Good 17.9% 15.1%
Physical Health Not Good 13.9% 10.4%
Depression 20.8% 23.4%
Smoking 25.2% 16.9%
Binge Drinking 16.0% 23.4%
Obesity 38.5% 36.0%
Disability Percentage 17.0% 14.0%

Health Statistics Comparison: Daytona beach vs Manitowoc

  • More residents in Daytona beach report poor mental health at 17.9% compared to 15.1% in Manitowoc.
  • Higher depression rates are seen in Manitowoc at 23.4% versus 20.8% in Daytona beach.
  • Smoking is more prevalent in Daytona beach at 25.2% compared to 16.9% in Manitowoc.
  • More residents engage in binge drinking in Manitowoc at 23.4% compared to 16.0% in Daytona beach.
  • Obesity rates are higher in Daytona beach at 38.5% compared to 36.0% in Manitowoc.
  • Disability percentages are higher in Daytona beach at 17.0% compared to 14.0% in Manitowoc.

Education Levels

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

Education Level Daytona beach Manitowoc
No Schooling 1.4% (1,065) 1.5% (515)
High School Diploma 17.5% (13,654) 22.3% (7,700)
Less than High School 11.3% (8,833) 11.0% (3,814)
Bachelor's Degree and Higher 16.5% (12,881) 18.0% (6,216)

Education Levels Comparison: Daytona beach vs Manitowoc

  • In Manitowoc, a larger percentage of residents lack formal schooling at 1.5% compared to 1.4% in Daytona beach.
  • In Manitowoc, the rate of residents with high school diplomas is higher at 22.3% compared to 17.5% in Daytona beach.
  • More residents in Daytona beach have less than a high school education at 11.3% compared to 11.0% in Manitowoc.
  • In Manitowoc, a larger share of residents have a bachelor's degree or higher at 18.0% 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.