Demographics details for Clermont, FL vs Mount orab, OH

Population Overview

Compare main population characteristics in Clermont, FL vs Mount orab, OH.

Data Clermont Mount orab
Population 46,506 4,337
Median Age 41.7 years 30.4 years
Median Income $75,951 $62,833
Married Families 41.0% 37.0%
Poverty Level 9% 10%
Unemployment Rate 3.7 4.5

Population Comparison: Clermont vs Mount orab

  • In Clermont, the population is higher at 46,506, compared to 4,337 in Mount orab.
  • Residents in Clermont have a higher median age of 41.7 years compared to 30.4 years in Mount orab.
  • Clermont has a higher median income of $75,951 compared to $62,833 in Mount orab.
  • A higher percentage of married families is found in Clermont at 41.0% compared to 37.0% in Mount orab.
  • The poverty level is higher in Mount orab at 10%, compared to 9% in Clermont.
  • Mount orab has a higher unemployment rate at 4.5% compared to 3.7% in Clermont.

Demographics

Demographics Clermont vs Mount orab provide insight into the diversity of the communities to compare.

Demographic Clermont Mount orab
Black 14 1
White 45 98
Asian 4 Data is updating
Hispanic 21 Data is updating
Two or More Races 16 1
American Indian Data is updating Data is updating

Demographics Comparison: Clermont vs Mount orab

  • A higher percentage of Black residents are in Clermont at 14% compared to 1% in Mount orab.
  • The percentage of White residents is higher in Mount orab at 98% compared to 45% in Clermont.
  • The Asian population is larger in Clermont at 4% compared to 0% in Mount orab.
  • The Hispanic community is larger in Clermont at 21% compared to 0% in Mount orab.
  • More residents identify as two or more races in Clermont at 16% compared to 1% in Mount orab.
  • The percentage of American Indian residents is the same in both Clermont and Mount orab at 0%.

Health Statistics

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

Health Metric Clermont Mount orab
Mental Health Not Good 15.7% 18.3%
Physical Health Not Good 10.1% 12.8%
Depression 19.5% 25.7%
Smoking 17.2% 22.9%
Binge Drinking 15.5% 18.6%
Obesity 34.9% 42.0%
Disability Percentage 10.0% 16.0%

Health Statistics Comparison: Clermont vs Mount orab

  • In Mount orab, a higher percentage report poor mental health at 18.3% compared to 15.7% in Clermont.
  • Higher depression rates are seen in Mount orab at 25.7% versus 19.5% in Clermont.
  • Mount orab has a higher smoking rate at 22.9% compared to 17.2% in Clermont.
  • More residents engage in binge drinking in Mount orab at 18.6% compared to 15.5% in Clermont.
  • Mount orab has higher obesity rates at 42.0% compared to 34.9% in Clermont.
  • There is a higher percentage of disabled individuals in Mount orab at 16.0% compared to 10.0% in Clermont.

Education Levels

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

Education Level Clermont Mount orab
No Schooling 0.4% (195) 0.8% (36)
High School Diploma 12.5% (5,809) 23.9% (1,037)
Less than High School 5.7% (2,631) 25.7% (1,116)
Bachelor's Degree and Higher 21.9% (10,177) 11.0% (479)

Education Levels Comparison: Clermont vs Mount orab

  • In Mount orab, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Clermont.
  • In Mount orab, the rate of residents with high school diplomas is higher at 23.9% compared to 12.5% in Clermont.
  • The percentage of residents with less than a high school education is higher in Mount orab at 25.7%, compared to 5.7% in Clermont.
  • A higher percentage of residents in Clermont hold a bachelor's degree or higher at 21.9% compared to 11.0% in Mount orab.

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.