Demographics details for Macclenny, FL vs Mount vernon, KY

Population Overview

Compare main population characteristics in Macclenny, FL vs Mount vernon, KY.

Data Macclenny Mount vernon
Population 7,670 2,472
Median Age 37.5 years 45.4 years
Median Income $62,134 $34,550
Married Families 32.0% 36.0%
Poverty Level 11% 15%
Unemployment Rate 3.5 4.2

Population Comparison: Macclenny vs Mount vernon

  • In Macclenny, the population is higher at 7,670, compared to 2,472 in Mount vernon.
  • The median age in Mount vernon is higher at 45.4 years, compared to 37.5 years in Macclenny.
  • Macclenny has a higher median income of $62,134 compared to $34,550 in Mount vernon.
  • In Mount vernon, the percentage of married families is higher at 36.0%, compared to 32.0% in Macclenny.
  • The poverty level is higher in Mount vernon at 15%, compared to 11% in Macclenny.
  • Mount vernon has a higher unemployment rate at 4.2% compared to 3.5% in Macclenny.

Demographics

Demographics Macclenny vs Mount vernon provide insight into the diversity of the communities to compare.

Demographic Macclenny Mount vernon
Black 19 Data is updating
White 66 94
Asian 1 Data is updating
Hispanic 4 Data is updating
Two or More Races 9 6
American Indian 1 Data is updating

Demographics Comparison: Macclenny vs Mount vernon

  • A higher percentage of Black residents are in Macclenny at 19% compared to 0% in Mount vernon.
  • The percentage of White residents is higher in Mount vernon at 94% compared to 66% in Macclenny.
  • The Asian population is larger in Macclenny at 1% compared to 0% in Mount vernon.
  • The Hispanic community is larger in Macclenny at 4% compared to 0% in Mount vernon.
  • More residents identify as two or more races in Macclenny at 9% compared to 6% in Mount vernon.
  • A greater percentage of American Indian residents live in Macclenny at 1% compared to 0% in Mount vernon.

Health Statistics

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

Health Metric Macclenny Mount vernon
Mental Health Not Good 17.2% 21.3%
Physical Health Not Good 11.2% 16.3%
Depression 20.4% 30.7%
Smoking 22.6% 26.1%
Binge Drinking 17.1% 14.3%
Obesity 36.5% 43.2%
Disability Percentage 14.0% 23.0%

Health Statistics Comparison: Macclenny vs Mount vernon

  • In Mount vernon, a higher percentage report poor mental health at 21.3% compared to 17.2% in Macclenny.
  • Higher depression rates are seen in Mount vernon at 30.7% versus 20.4% in Macclenny.
  • Mount vernon has a higher smoking rate at 26.1% compared to 22.6% in Macclenny.
  • Binge drinking is more common in Macclenny at 17.1% compared to 14.3% in Mount vernon.
  • Mount vernon has higher obesity rates at 43.2% compared to 36.5% in Macclenny.
  • There is a higher percentage of disabled individuals in Mount vernon at 23.0% compared to 14.0% in Macclenny.

Education Levels

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

Education Level Macclenny Mount vernon
No Schooling 0.1% (4) 0.5% (12)
High School Diploma 17.8% (1,365) 17.4% (431)
Less than High School 13.5% (1,033) 32.8% (810)
Bachelor's Degree and Higher 10.4% (799) 7.4% (183)

Education Levels Comparison: Macclenny vs Mount vernon

  • In Mount vernon, a larger percentage of residents lack formal schooling at 0.5% compared to 0.1% in Macclenny.
  • A higher percentage of residents in Macclenny hold a high school diploma at 17.8% compared to 17.4% in Mount vernon.
  • The percentage of residents with less than a high school education is higher in Mount vernon at 32.8%, compared to 13.5% in Macclenny.
  • A higher percentage of residents in Macclenny hold a bachelor's degree or higher at 10.4% compared to 7.4% in Mount vernon.

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.