Demographics details for Mount dora, FL vs Ballard, WV

Population Overview

Compare main population characteristics in Mount dora, FL vs Ballard, WV.

Data Mount dora Ballard
Population 17,160 187
Median Age 48.6 years 40.0 years
Median Income $65,774 $60,000
Married Families 43.0% 50.0%
Poverty Level 12% 12%
Unemployment Rate 3.2 5.0

Population Comparison: Mount dora vs Ballard

  • In Mount dora, the population is higher at 17,160, compared to 187 in Ballard.
  • Residents in Mount dora have a higher median age of 48.6 years compared to 40.0 years in Ballard.
  • Mount dora has a higher median income of $65,774 compared to $60,000 in Ballard.
  • In Ballard, the percentage of married families is higher at 50.0%, compared to 43.0% in Mount dora.
  • The poverty level is identical in both Mount dora and Ballard at 12%.
  • Ballard has a higher unemployment rate at 5.0% compared to 3.2% in Mount dora.

Demographics

Demographics Mount dora vs Ballard provide insight into the diversity of the communities to compare.

Demographic Mount dora Ballard
Black 13 Data is updating
White 65 100
Asian Data is updating Data is updating
Hispanic 15 Data is updating
Two or More Races 7 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Mount dora vs Ballard

  • A higher percentage of Black residents are in Mount dora at 13% compared to 0% in Ballard.
  • The percentage of White residents is higher in Ballard at 100% compared to 65% in Mount dora.
  • Both Mount dora and Ballard have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Mount dora at 15% compared to 0% in Ballard.
  • More residents identify as two or more races in Mount dora at 7% compared to 0% in Ballard.
  • The percentage of American Indian residents is the same in both Mount dora and Ballard at 0%.

Health Statistics

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

Health Metric Mount dora Ballard
Mental Health Not Good 17.0% Data is updating%
Physical Health Not Good 11.6% Data is updating%
Depression 20.8% Data is updating%
Smoking 20.4% Data is updating%
Binge Drinking 15.0% Data is updating%
Obesity 37.5% Data is updating%
Disability Percentage 16.0% Data is updating%

Health Statistics Comparison: Mount dora vs Ballard

  • More residents in Mount dora report poor mental health at 17.0% compared to 0.0% in Ballard.
  • Depression is more prevalent in Mount dora at 20.8% compared to 0.0% in Ballard.
  • Smoking is more prevalent in Mount dora at 20.4% compared to 0.0% in Ballard.
  • Binge drinking is more common in Mount dora at 15.0% compared to 0.0% in Ballard.
  • Obesity rates are higher in Mount dora at 37.5% compared to 0.0% in Ballard.
  • Disability percentages are higher in Mount dora at 16.0% compared to 0.0% in Ballard.

Education Levels

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

Education Level Mount dora Ballard
No Schooling 0.3% (47) 0.0% (Data is updating)
High School Diploma 16.5% (2,834) 0.0% (Data is updating)
Less than High School 8.2% (1,409) 0.0% (Data is updating)
Bachelor's Degree and Higher 25.6% (4,390) 0.0% (Data is updating)

Education Levels Comparison: Mount dora vs Ballard

  • A higher percentage of residents in Mount dora have no formal schooling at 0.3% compared to 0.0% in Ballard.
  • A higher percentage of residents in Mount dora hold a high school diploma at 16.5% compared to 0.0% in Ballard.
  • More residents in Mount dora have less than a high school education at 8.2% compared to 0.0% in Ballard.
  • A higher percentage of residents in Mount dora hold a bachelor's degree or higher at 25.6% compared to 0.0% in Ballard.

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.