Demographics details for Falling waters, WV vs Deltona, FL

Population Overview

Compare main population characteristics in Falling waters, WV vs Deltona, FL.

Data Falling waters Deltona
Population 2,150 97,267
Median Age 32.2 years 38.1 years
Median Income $84,038 $69,074
Married Families 29.0% 39.0%
Poverty Level 9% 11%
Unemployment Rate 3.5 4.3

Population Comparison: Falling waters vs Deltona

  • The population in Deltona is higher at 97,267, compared to 2,150 in Falling waters.
  • The median age in Deltona is higher at 38.1 years, compared to 32.2 years in Falling waters.
  • Falling waters has a higher median income of $84,038 compared to $69,074 in Deltona.
  • In Deltona, the percentage of married families is higher at 39.0%, compared to 29.0% in Falling waters.
  • The poverty level is higher in Deltona at 11%, compared to 9% in Falling waters.
  • Deltona has a higher unemployment rate at 4.3% compared to 3.5% in Falling waters.

Demographics

Demographics Falling waters vs Deltona provide insight into the diversity of the communities to compare.

Demographic Falling waters Deltona
Black 6 12
White 92 39
Asian Data is updating 2
Hispanic Data is updating 38
Two or More Races 2 9
American Indian Data is updating Data is updating

Demographics Comparison: Falling waters vs Deltona

  • In Deltona, the percentage of Black residents is higher at 12% compared to 6% in Falling waters.
  • Falling waters has a higher percentage of White residents at 92% compared to 39% in Deltona.
  • In Deltona, the Asian population stands at 2%, greater than 0% in Falling waters.
  • Deltona has a higher percentage of Hispanic residents at 38%, compared to 0% in Falling waters.
  • The percentage of residents identifying as two or more races is higher in Deltona at 9%, compared to 2% in Falling waters.
  • The percentage of American Indian residents is the same in both Falling waters and Deltona at 0%.

Health Statistics

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

Health Metric Falling waters Deltona
Mental Health Not Good 18.5% 16.7%
Physical Health Not Good 11.9% 11.7%
Depression 25.7% 20.4%
Smoking 18.7% 20.8%
Binge Drinking 15.2% 17.5%
Obesity 37.6% 34.6%
Disability Percentage 24.0% 15.0%

Health Statistics Comparison: Falling waters vs Deltona

  • More residents in Falling waters report poor mental health at 18.5% compared to 16.7% in Deltona.
  • Depression is more prevalent in Falling waters at 25.7% compared to 20.4% in Deltona.
  • Deltona has a higher smoking rate at 20.8% compared to 18.7% in Falling waters.
  • More residents engage in binge drinking in Deltona at 17.5% compared to 15.2% in Falling waters.
  • Obesity rates are higher in Falling waters at 37.6% compared to 34.6% in Deltona.
  • Disability percentages are higher in Falling waters at 24.0% compared to 15.0% in Deltona.

Education Levels

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

Education Level Falling waters Deltona
No Schooling 0.0% (Data is updating) 0.9% (878)
High School Diploma 22.4% (482) 19.9% (19,338)
Less than High School 4.7% (102) 11.7% (11,382)
Bachelor's Degree and Higher 11.0% (237) 12.5% (12,206)

Education Levels Comparison: Falling waters vs Deltona

  • In Deltona, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Falling waters.
  • A higher percentage of residents in Falling waters hold a high school diploma at 22.4% compared to 19.9% in Deltona.
  • The percentage of residents with less than a high school education is higher in Deltona at 11.7%, compared to 4.7% in Falling waters.
  • In Deltona, a larger share of residents have a bachelor's degree or higher at 12.5% compared to 11.0% in Falling waters.

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.