Demographics details for Redondo beach, CA vs Macclenny, FL

Population Overview

Compare main population characteristics in Redondo beach, CA vs Macclenny, FL.

Data Redondo beach Macclenny
Population 68,918 7,670
Median Age 40.1 years 37.5 years
Median Income $134,033 $62,134
Married Families 42.0% 32.0%
Poverty Level Data is updating 11%
Unemployment Rate 5.0 3.5

Population Comparison: Redondo beach vs Macclenny

  • In Redondo beach, the population is higher at 68,918, compared to 7,670 in Macclenny.
  • Residents in Redondo beach have a higher median age of 40.1 years compared to 37.5 years in Macclenny.
  • Redondo beach has a higher median income of $134,033 compared to $62,134 in Macclenny.
  • A higher percentage of married families is found in Redondo beach at 42.0% compared to 32.0% in Macclenny.
  • The poverty level is higher in Macclenny at 11%, compared to 0% in Redondo beach.
  • The unemployment rate in Redondo beach is higher at 5.0%, compared to 3.5% in Macclenny.

Demographics

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

Demographic Redondo beach Macclenny
Black 3 19
White 50 66
Asian 17 1
Hispanic 16 4
Two or More Races 14 9
American Indian Data is updating 1

Demographics Comparison: Redondo beach vs Macclenny

  • In Macclenny, the percentage of Black residents is higher at 19% compared to 3% in Redondo beach.
  • The percentage of White residents is higher in Macclenny at 66% compared to 50% in Redondo beach.
  • The Asian population is larger in Redondo beach at 17% compared to 1% in Macclenny.
  • The Hispanic community is larger in Redondo beach at 16% compared to 4% in Macclenny.
  • More residents identify as two or more races in Redondo beach at 14% compared to 9% in Macclenny.
  • In Macclenny, the percentage of American Indian residents is higher at 1%, compared to 0% in Redondo beach.

Health Statistics

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

Health Metric Redondo beach Macclenny
Mental Health Not Good 12.7% 17.2%
Physical Health Not Good 7.4% 11.2%
Depression 15.8% 20.4%
Smoking 6.9% 22.6%
Binge Drinking 17.9% 17.1%
Obesity 22.8% 36.5%
Disability Percentage 6.0% 14.0%

Health Statistics Comparison: Redondo beach vs Macclenny

  • In Macclenny, a higher percentage report poor mental health at 17.2% compared to 12.7% in Redondo beach.
  • Higher depression rates are seen in Macclenny at 20.4% versus 15.8% in Redondo beach.
  • Macclenny has a higher smoking rate at 22.6% compared to 6.9% in Redondo beach.
  • Binge drinking is more common in Redondo beach at 17.9% compared to 17.1% in Macclenny.
  • Macclenny has higher obesity rates at 36.5% compared to 22.8% in Redondo beach.
  • There is a higher percentage of disabled individuals in Macclenny at 14.0% compared to 6.0% in Redondo beach.

Education Levels

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

Education Level Redondo beach Macclenny
No Schooling 0.7% (495) 0.1% (4)
High School Diploma 6.8% (4,657) 17.8% (1,365)
Less than High School 4.9% (3,375) 13.5% (1,033)
Bachelor's Degree and Higher 48.0% (33,051) 10.4% (799)

Education Levels Comparison: Redondo beach vs Macclenny

  • A higher percentage of residents in Redondo beach have no formal schooling at 0.7% compared to 0.1% in Macclenny.
  • In Macclenny, the rate of residents with high school diplomas is higher at 17.8% compared to 6.8% in Redondo beach.
  • The percentage of residents with less than a high school education is higher in Macclenny at 13.5%, compared to 4.9% in Redondo beach.
  • A higher percentage of residents in Redondo beach hold a bachelor's degree or higher at 48.0% 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.