Demographics details for Macclenny, FL vs Jeffersonville, IN

Population Overview

Compare main population characteristics in Macclenny, FL vs Jeffersonville, IN.

Data Macclenny Jeffersonville
Population 7,670 51,030
Median Age 37.5 years 38.6 years
Median Income $62,134 $67,566
Married Families 32.0% 37.0%
Poverty Level 11% 10%
Unemployment Rate 3.5 4.1

Population Comparison: Macclenny vs Jeffersonville

  • The population in Jeffersonville is higher at 51,030, compared to 7,670 in Macclenny.
  • The median age in Jeffersonville is higher at 38.6 years, compared to 37.5 years in Macclenny.
  • Jeffersonville has a higher median income of $67,566, compared to $62,134 in Macclenny.
  • In Jeffersonville, the percentage of married families is higher at 37.0%, compared to 32.0% in Macclenny.
  • Macclenny has a higher poverty level at 11% compared to 10% in Jeffersonville.
  • Jeffersonville has a higher unemployment rate at 4.1% compared to 3.5% in Macclenny.

Demographics

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

Demographic Macclenny Jeffersonville
Black 19 12
White 66 75
Asian 1 1
Hispanic 4 5
Two or More Races 9 7
American Indian 1 Data is updating

Demographics Comparison: Macclenny vs Jeffersonville

  • A higher percentage of Black residents are in Macclenny at 19% compared to 12% in Jeffersonville.
  • The percentage of White residents is higher in Jeffersonville at 75% compared to 66% in Macclenny.
  • Both Macclenny and Jeffersonville have the same percentage of Asian residents at 1%.
  • Jeffersonville has a higher percentage of Hispanic residents at 5%, compared to 4% in Macclenny.
  • More residents identify as two or more races in Macclenny at 9% compared to 7% in Jeffersonville.
  • A greater percentage of American Indian residents live in Macclenny at 1% compared to 0% in Jeffersonville.

Health Statistics

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

Health Metric Macclenny Jeffersonville
Mental Health Not Good 17.2% 17.3%
Physical Health Not Good 11.2% 11.7%
Depression 20.4% 23.5%
Smoking 22.6% 20.2%
Binge Drinking 17.1% 16.9%
Obesity 36.5% 40.2%
Disability Percentage 14.0% 13.0%

Health Statistics Comparison: Macclenny vs Jeffersonville

  • In Jeffersonville, a higher percentage report poor mental health at 17.3% compared to 17.2% in Macclenny.
  • Higher depression rates are seen in Jeffersonville at 23.5% versus 20.4% in Macclenny.
  • Smoking is more prevalent in Macclenny at 22.6% compared to 20.2% in Jeffersonville.
  • Binge drinking is more common in Macclenny at 17.1% compared to 16.9% in Jeffersonville.
  • Jeffersonville has higher obesity rates at 40.2% compared to 36.5% in Macclenny.
  • Disability percentages are higher in Macclenny at 14.0% compared to 13.0% in Jeffersonville.

Education Levels

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

Education Level Macclenny Jeffersonville
No Schooling 0.1% (4) 0.6% (293)
High School Diploma 17.8% (1,365) 18.6% (9,472)
Less than High School 13.5% (1,033) 9.7% (4,952)
Bachelor's Degree and Higher 10.4% (799) 16.9% (8,649)

Education Levels Comparison: Macclenny vs Jeffersonville

  • In Jeffersonville, a larger percentage of residents lack formal schooling at 0.6% compared to 0.1% in Macclenny.
  • In Jeffersonville, the rate of residents with high school diplomas is higher at 18.6% compared to 17.8% in Macclenny.
  • More residents in Macclenny have less than a high school education at 13.5% compared to 9.7% in Jeffersonville.
  • In Jeffersonville, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 10.4% in Macclenny.

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.